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Manager, Corporate Accounting
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From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a highly motivated and detail-oriented Manager, Corporate Accounting to lead key aspects of our accounting operations in a fast-paced environment. This role will own the integrity and efficiency of the close process, drive automation and system enhancements, and partner cross-functionally with Technical Accounting, Engineering, and Finance teams.
You will play a critical role in scaling accounting operations, improving processes, and ensuring accurate and timely financial reporting as the company grows.
This is a full-time position based out of our Denver or Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use:
Netsuite, Coupa, FloQast, BigQuery, AI Tools
What You’ll Do:
Team Leadership & Development
-
Manage, mentor, and develop a team of corporate accountants, fostering a high-performance and continuous improvement culture
-
Establish clear goals, priorities, and accountability across the team
-
Drive process standardization and documentation to support scalability
Close & Financial Reporting
-
Own and manage the monthly, quarterly, and annual close processes, ensuring accuracy and timeliness
-
Review journal entries, account reconciliations, and flux analyses
-
Ensure compliance with US GAAP and internal accounting policies
-
Partner with Technical Accounting on complex accounting areas and new business initiatives
Systems, Automation & Process Improvement
-
Lead initiatives to automate and streamline accounting workflows, reducing manual effort and risk
-
Collaborate with Engineering and Data teams to enhance data pipelines and reporting accuracy
-
Drive system integrations and improvements across financial systems
Cross-Functional Collaboration
-
Partner closely with Technical Accounting on policy implementation, revenue recognition considerations, and complex transactions
-
Work with Engineering and Data teams to improve data integrity, automate reporting, and support scalable infrastructure
-
Collaborate with FP&A, Procurement, and other stakeholders to align on financial insights and operational needs
Controls & Compliance
-
Strengthen and maintain internal controls over financial reporting
-
Support audit processes (internal and external), including preparation of schedules and documentation
-
Ensure compliance with SOX and company policies
Skills We’re Looking For:
-
Bachelor’s degree in Accounting or Finance; CPA strongly preferred
-
5–7+ years of accounting experience, with a mix of public accounting and industry preferred
-
Prior experience in a SaaS or high-growth technology company
-
Proven experience managing and developing teams
-
Strong understanding of month-end close, general ledger, and financial reporting processes
-
Hands-on experience with NetSuite and close automation tools (e.g., FloQast)
-
Experience working with large datasets or data tools (e.g., BigQuery) is a plus
-
Demonstrated ability to drive process improvements and automation initiatives
-
Strong cross-functional communication skills, especially with technical teams
Bonus Skills:
-
Exposure to AI tools (e.g., ChatGPT, Claude) for workflow or productivity enhancements
#LI-HYBRID #LI-JG1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Perks and Benefits
- 100% employer-paid medical insurance*
- Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
- RSU stock grants*
- Professional development and training opportunities
- Company virtual happy hours, free food, and fun team-building activities
- Monthly cell phone stipend
- Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*May vary by country and worker type - please reach out to your recruiter for more information
Click here to learn more about Fivetran's Benefits by Region.
We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.
To learn more about our candidate privacy policy, you can read our statement here.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Ready to apply?
Apply to Fivetran
Manager, Corporate Accounting
Share this job
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking for a highly motivated and detail-oriented Manager, Corporate Accounting to lead key aspects of our accounting operations in a fast-paced environment. This role will own the integrity and efficiency of the close process, drive automation and system enhancements, and partner cross-functionally with Technical Accounting, Engineering, and Finance teams.
You will play a critical role in scaling accounting operations, improving processes, and ensuring accurate and timely financial reporting as the company grows.
This is a full-time position based out of our Denver or Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.
Technologies You’ll Use:
Netsuite, Coupa, FloQast, BigQuery, AI Tools
What You’ll Do:
Team Leadership & Development
-
Manage, mentor, and develop a team of corporate accountants, fostering a high-performance and continuous improvement culture
-
Establish clear goals, priorities, and accountability across the team
-
Drive process standardization and documentation to support scalability
Close & Financial Reporting
-
Own and manage the monthly, quarterly, and annual close processes, ensuring accuracy and timeliness
-
Review journal entries, account reconciliations, and flux analyses
-
Ensure compliance with US GAAP and internal accounting policies
-
Partner with Technical Accounting on complex accounting areas and new business initiatives
Systems, Automation & Process Improvement
-
Lead initiatives to automate and streamline accounting workflows, reducing manual effort and risk
-
Collaborate with Engineering and Data teams to enhance data pipelines and reporting accuracy
-
Drive system integrations and improvements across financial systems
Cross-Functional Collaboration
-
Partner closely with Technical Accounting on policy implementation, revenue recognition considerations, and complex transactions
-
Work with Engineering and Data teams to improve data integrity, automate reporting, and support scalable infrastructure
-
Collaborate with FP&A, Procurement, and other stakeholders to align on financial insights and operational needs
Controls & Compliance
-
Strengthen and maintain internal controls over financial reporting
-
Support audit processes (internal and external), including preparation of schedules and documentation
-
Ensure compliance with SOX and company policies
Skills We’re Looking For:
-
Bachelor’s degree in Accounting or Finance; CPA strongly preferred
-
5–7+ years of accounting experience, with a mix of public accounting and industry preferred
-
Prior experience in a SaaS or high-growth technology company
-
Proven experience managing and developing teams
-
Strong understanding of month-end close, general ledger, and financial reporting processes
-
Hands-on experience with NetSuite and close automation tools (e.g., FloQast)
-
Experience working with large datasets or data tools (e.g., BigQuery) is a plus
-
Demonstrated ability to drive process improvements and automation initiatives
-
Strong cross-functional communication skills, especially with technical teams
Bonus Skills:
-
Exposure to AI tools (e.g., ChatGPT, Claude) for workflow or productivity enhancements
#LI-HYBRID #LI-JG1
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Perks and Benefits
- 100% employer-paid medical insurance*
- Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
- RSU stock grants*
- Professional development and training opportunities
- Company virtual happy hours, free food, and fun team-building activities
- Monthly cell phone stipend
- Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*May vary by country and worker type - please reach out to your recruiter for more information
Click here to learn more about Fivetran's Benefits by Region.
We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video.
To learn more about our candidate privacy policy, you can read our statement here.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Ready to apply?
Apply to Fivetran
WHAT IS BOX?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
WHY BOX NEEDS YOU
We are seeking a Manager, Corporate Finance to join our Corporate Finance team. This role will be the primary owner of Box's corporate financial model, and playing a key role in annual planning, quarterly board reporting, and the monthly financial performance review process. You will be responsible for KPIs, variance analysis, FX impact modeling, global expense budgeting, cash flow forecasting, and partnering with the tax team on subsidiary-level forecasting. We’re looking for someone who is self-driven and passionate about bringing in new ideas and improving or replacing legacy processes and models. In this role, you’ll build and maintain sophisticated financial models such as driver-based three-statement models with tightly linked operational drivers, deliver accurate forecasts, and provide strategic insights to senior leadership. You will also leverage Box AI to modernize processes, financial analysis and reporting.
This is a high-visibility role that requires strong leadership presence, exceptional analytical skills, and the ability to communicate complex financial concepts to executive stakeholders. This role is expected to be an individual contributor role based in our Redwood City office.
WHAT YOU'LL DO
- Own the end-to-end corporate financial model and play a key role in annual planning, quarterly board reporting, and the monthly financial performance review processes
- Build and maintain a robust, driver-based three-statement model that tightly links operational drivers to balance sheet and cash flow outputs
- Drive month-end and quarter-end close cycles
- Leverage Box AI and emerging AI tools to transform how finance operates and push the boundaries of what AI can do for a modern finance function in planning, forecasting, and reporting
- Own corporate cash flow model and provide insights into liquidity, working capital, and capital allocation
- Partner with the tax team on subsidiary-level forecasting and ensure accurate modeling of multi-entity financials
- Analyze and model FX impacts on bottom-line financial metrics, providing insights on currency exposure and hedging strategies
- Lead KPI reporting and variance analysis, identifying risks and opportunities against plan
- Prepare materials for financial performance reviews, earnings, QBRs, board and executive presentations
- Partner with Investor Relations to support earnings materials preparation and investor communications
- Develop early warning systems to identify risks and opportunities in achieving financial targets
- Continuously improve planning processes, tools, and methodologies-identifying opportunities to automate and scale reporting solutions
WHO YOU ARE
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
- 6+ years of progressive experience in corporate finance, FP&A, investment banking, or related fields; prior experience at a technology or SaaS company strongly preferred
- Strong three-statement modeling skills, with a track record of building robust, driver-based models that tightly link operational drivers to balance sheet and cash flow outputs
- Track record of owning complex forecasting processes and delivering accurate results
- Advanced proficiency in Excel with strong financial modeling capabilities; experience with BI/Analytics tools (Tableau, BigQuery) and familiarity with SQL a plus
- Experience with ERP and planning systems (e.g., NetSuite, Anaplan, Planful)
- Experience analyzing FX impacts on financial metrics and working with multi-currency environments
- Strong leadership presence with excellent communication skills and the ability to distill complex analysis into clear, actionable insights
- Self-starter with a collaborative mindset, high attention to detail, and comfort operating in a fast-paced environment
- Bachelor’s degree in Finance, Accounting, Economics, Business, or a STEM field required
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.
Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.
Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance. The Fair Chance Ordinance is provided here.
Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance. The Fair Chance Ordinance is provided here.
For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here.
Ready to apply?
Apply to Box
Technical Account Manager
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WHAT YOU’LL DO
Viant is seeking a highly skilled and self-motivated Technical Account Manager to serve as a strategic post-sales thought leader for our most important clients. This role sits at the intersection of technology, measurement, and client strategy, partnering closely with Sales Engineering, Account Management, and product teams to deepen relationships, elevate technical maturity, and accelerate adoption of Viant’s advanced measurement and data solutions. You will play a critical role in scaling strategic accounts post-sale, translating complex technical and measurement capabilities into clear business value, and helping clients fully realize the long-term impact of Viant’s platform.
This role is ideal for someone who thrives as a trusted advisor, enjoys shaping solution strategy, and can influence outcomes across both internal and external stakeholders. The ideal candidate will have a combination of exceptional project management and client service skills, as well as knowledge of the advertising technology landscape. You should have a strong understanding of client service best practices and end-to-end solutions delivery.
THE DAY-TO-DAY
- Serve as a strategic technical thought leader in the post-sale lifecycle, partnering with Account Management to grow adoption, expand use cases, and retain and upsell key accounts.
- Act as a trusted advisor to senior client stakeholders by aligning Viant’s measurement and data solutions to broader business objectives.
- Partner closely with Sales Engineering to ensure continuity of solution strategy from pre-sale handoff through execution and optimization.
- Collaborate with Sales, Business Intelligence, and Operations teams to unblock complex challenges and deliver high-impact solutions for strategic accounts.
- Lead client measurement strategy across Viant Advanced Reporting and third-party measurement solutions to improve insight quality, performance understanding, and ROI.
- Scope and deliver custom reporting solutions that enable advanced analysis, executive-level storytelling, and long-term measurement evolution.
- Develop training materials and documentation to level up internal Sales and Account teams and strengthen post-sale execution.
- Use Google BigQuery SQL to investigate data discrepancies, validate data integrity, and surface actionable insights that inform optimization and decision-making.
GREAT TO HAVE
- 4+ years of experience in Technical Account Management, Account Management, Project Management, Ad Operations, or related roles
- 2+ years experience with Ad Tech platforms such as demand-side platforms (DSPs), data management platforms (DMPs), Customer Data Platform (CDP), and/or clean rooms technology
- Strong understanding of the ad tech ecosystem, including DSPs, ad serving, programmatic buying, onboarding, and measurement
- Ability to clearly articulate complex technical and measurement concepts to both technical and non-technical audiences
- Proficiency in SQL (Google BigQuery preferred) and cloud-based analytics tools
- Strategic mindset with a bias toward action; comfortable operating in ambiguity and influencing without authority
LIFE AT VIANT
Investing in our employee’s professional growth is important to us, but so is investing in their well-being. That’s why Viant was voted one of the best places to work and some of our favorite employee benefits include fully paid health insurance, paid parental leave and unlimited PTO and more.
#LI-SK1
Viant Technology (NASDAQ: DSP) is an exclusively buy-side, AI-powered advertising platform purpose-built for CTV. Viant uniquely combines proprietary content intelligence, household-level identity resolution, and person-level attention signals to connect advertisers with real customers and drive measurable outcomes across the open internet. Through its award-winning AI solutions, Viant is building the future of autonomous advertising, where AI doesn't just assist the campaign, it delivers real results. Learn more at viantinc.com.
Ready to apply?
Apply to Viant Technology
Business Analyst, Commercial
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Noom is on a mission to help people live better, longer. We’re a consumer-led digital health company, connecting people to content, coaching, community, and clinicians, to build lasting habits and live healthier lives. We’re a high-growth organization powered by science, technology, and world-class talent. When you join Noom, on any team, you’ll see the impact of your work on the world.
Our B2B Team
Noom’s B2B team partners with employers, health plans, and organizations to deliver scalable, data-driven health solutions that improve outcomes and drive measurable value. By combining behavioral science with robust analytics, this team ensures our partners have the insights and tools needed to support their populations and make confident, informed decisions.
About the Role
As we continue to grow, we’re seeking a Business Analyst, Commercial to deliver high-quality analytics, reporting, and insights that power client success and commercial decision-making. In this highly cross-functional role, you’ll partner with Client Success, Sales, Product, Data/Analytics Engineering, and Operations to ensure our enterprise clients have accurate, actionable data. Your work will span dashboard development, ad-hoc analysis, and data quality improvements—enabling stakeholders to self-serve insights without compromising accuracy or compliance.
You Will
- Own client-facing reporting and analytics delivery for QBRs, renewals, and expansion efforts, including engagement, outcomes, utilization, and program performance insights
- Deliver high-impact ad-hoc analyses for Sales, Client Success, and leadership, translating ambiguous questions into clear metrics, queries, and actionable outputs
- Build, maintain, and enhance Looker dashboards and explores, improving usability through standardized definitions, intuitive design, and clear documentation
- Ensure data accuracy and consistency by proactively validating dashboards, managing changes in upstream data, and performing regression checks
- Investigate and resolve data discrepancies in partnership with Data/Analytics Engineering, identifying root causes and clearly communicating outcomes to stakeholders
- Support operational analytics across billing, eligibility, and partner reporting requirements, while driving scalability through standardization, automation, and documentation
About You
If you’re interested in shaping the future of health by delivering trusted, scalable analytics that empower enterprise partners, this role may be for you!
You Have
- Bachelor’s degree in Business, Economics, Statistics, Mathematics, Computer Science, or a related field (or equivalent practical experience)
- 3+ years of experience in business or data analytics, ideally in healthcare, benefits, or B2B SaaS environments
- Strong proficiency in SQL, including joins, aggregations, window functions, and debugging complex datasets
- Hands-on experience with Looker or similar BI tools, building dashboards and stakeholder-facing reports
- Proven ability to translate complex, ambiguous questions into clear analyses and actionable insights
- Excellent communication skills, with the ability to explain methodologies and findings to both technical and non-technical audiences
- Experience with healthcare data (e.g., eligibility, enrollment, outcomes, or claims concepts) is a plus
- Familiarity with modern data stacks (e.g., dbt, Snowflake, Databricks, BigQuery) and data quality practices
- Experience supporting Client Success or Sales workflows (e.g., QBRs, renewals, expansion analytics) preferred
- Comfort working in a fast-paced, ticketed environment (e.g., Jira) with shifting priorities
What Makes This Job Amazing
- You’ll help millions of people live healthier lives while supporting enterprise partners at scale
- You’ll work on high-impact analytics that directly influence renewals, expansion, and client trust
- You’ll partner with a strong cross-functional group spanning Client Success, Sales, Product, and Data
- You’ll grow quickly in a transparent, high-performance environment with meaningful ownership
What You'll Earn and Enjoy
- Pay that reflects your impact. Compensation benchmarked to the market and shaped by your impact and value.
- Investment in your future. A 401(k) with company match to help you build long-term financial security.
- Time to truly recharge. Paid holidays, generous time off, Summer Fridays, and a company-wide Summer Break week so the whole team can unplug together.
- Care that covers it all. Access to top-tier medical plans for you and your family, including a premium-free plan option, alongside dental, vision, and life insurance.
- Support for growing families. Paid parental leave to give you the time and flexibility to focus on what matters most.
- And more to help you thrive. Stock awards, a performance-based bonus, and exclusive access to Noom’s products, so you can grow with us, win with us, and enjoy what we build.
The base salary range for this position is $101,000 - $129,000. Actual compensation is determined by job-related factors, including experience, skills, qualifications, and location.
This role is eligible for our NYC or Princeton office locations, operating on a hybrid schedule (2 days per week on-site).
More About Noom
Noom is a leading whole-person health platform on a mission to help people live better, longer. We combine personalized medication with the science of behavior change and psychology, to help people build lasting habits and live longer, healthier lives. With nationally-recognized, holistic programs spanning weight, diabetes prevention, GLP-1 support, menopause, longevity, and more, we serve millions through health plans, employers, and direct-to-consumer offerings. As a trailblazer in the world of health and wellness, Noom makes healthy living easy, fun, and deeply rewarding.
We’re more than a health tech company—we’re a movement. This belief extends to our culture: we empower our people to think big, act boldly, and take pride in their contributions to shaping the future of health. With a strong remote culture, as well as offices in NYC and Princeton, we’ve been named one of the Best Places to Work by Inc., Fortune, Glassdoor, and Quartz—including honors for technology and diversity.
Join us in shaping the future of health. You’ll be part of a passionate, mission-driven team working to make the world a healthier place—one habit at a time.
Noom is proud to be an Equal Opportunity Employer, and all applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, caste, national origin, physical or mental disability, protected veteran status, age, or any other characteristic protected by applicable law. Noom is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities.
To help protect against potential hiring scams, please be aware that all email communications from the Noom Talent team and/or hiring managers will come only from an @noom.com email address. Please ignore any messaging or communication from other domains (e.g. @noom.team). Noom will never ask you for personal payment, require you to purchase equipment, conduct an interview process or messaging exchange via Microsoft Teams, or extend a job offer without the completion of a multi-step interview process featuring a combination of phone, Zoom, and in-person interviews, as well as references. If you are unsure about the validity of a Noom job posting on another website, we strongly encourage you to apply directly through our website.
Ready to apply?
Apply to Noom US
WHAT IS BOX?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
WHY BOX NEEDS YOU
You will work on problems that matter to the company, with executive air cover to actually change how things run. You will get to put modern AI into production behind real workflows, not demos. And you will do it inside an IT organization that treats engineering excellence, security, and business outcomes as the same job — not competing ones.
We are looking for an AI Business Automation Engineer to embed directly with functional Subject Matter Experts across Box — Finance, Legal, People, GTM, Customer Success, and beyond — to identify business processes ripe for reinvention and rebuild them with an AI-first mindset. You will sit shoulder-to-shoulder with the people doing the work, deeply understand their workflows, and then design, prototype, and deliver the technical solutions that transform how those teams operate.
This role lives inside IT and carries the full weight of our infrastructure, data, integration, automation, and information security standards. The work spans the stack: one week you may be wiring an AI agent into a Finance close process, the next you may be redesigning a Legal intake workflow as an agentic system, and the next standing up a secure data pipeline so a GTM team can automate customer intelligence workflows. If you are energized by the intersection of business problems, modern AI, and pragmatic engineering — and you want your code in production, not in slideware — this is the role.
WHAT YOU'LL DO
-
Partner directly with functional SMEs to map current-state processes, identify friction and waste, and co-design AI-first reinventions that materially change how the work gets done.
-
Translate business requirements into clear technical specifications, architecture diagrams, and delivery plans, then build the agentic solution end-to-end alongside teammates and senior engineers.
-
Prototype rapidly using Python and modern AI tooling (LLM APIs, RAG patterns, agent frameworks, workflow orchestration) to validate ideas before scaling them into production.
-
Build and maintain integrations between Box’s core SaaS systems (Box, Workday, Salesforce, NetSuite, Atlassian, BigQuery, etc.) using APIs, iPaaS platforms, and custom services.
-
Design and implement automations that retire manual work, replace brittle scripts, and unlock capacity for the business.
-
Own the data plumbing — pipelines, models, access patterns — that makes AI solutions trustworthy and operable.
-
Apply security, privacy, and compliance controls from day one: data classification, least-privilege access, secrets management, auditability, and responsible AI guardrails.
-
Operate what you build: monitoring, runbooks, incident response, and continuous improvement based on real usage.
-
Evangelize what’s possible. Bring SMEs along the journey so they become co-owners of the AI-first future, not passive recipients of it.
WHO YOU ARE
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
-
2-3+ years of hands-on engineering experience in IT or software engineering roles, with a track record of shipping production code that real users depend on.
-
Deep experience with agentic coding platforms like Claude Code, Cursor, and Codex, as well as experience building custom agents that leverage MCP servers and CLIs
-
Working proficiency in Python (or equivalent in Go, TypeScript, Java) — you write clean, tested, maintainable code and are comfortable contributing to a real codebase, not just notebooks.
-
Demonstrated ability to translate business problems into technical specs and delivered software. You can write a clear design doc, build the thing, and explain it to a non-technical partner.
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Working knowledge across several of the following, with depth in at least one: cloud infrastructure (GCP preferred), data engineering (SQL, warehouses, pipelines), integration patterns (REST, GraphQL, webhooks, event-driven, iPaaS like Workato/SnapLogic), automation tooling, and IAM.
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Familiarity with information security fundamentals — authn/authz, encryption, secrets handling, and safe data practices — and a willingness to learn what it takes to build systems that pass an audit.
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Hands-on experience applying modern AI to real problems: LLM APIs, prompt engineering, retrieval-augmented generation, or building at least one AI-driven workflow, prototype, or agent.
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Experience with agent frameworks (LangGraph, OpenAI Agent SDK, Claude Agent SDK, etc.), MCP, or building tool-using systems at scale.
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Strong product instincts and a bias for shipping. You know when to deliver a thin slice and learn versus when to invest in something more durable.
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Excellent communication skills. You build trust with non-technical partners and write specs, docs, and updates that travel without you in the room.
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.
Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.
Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance. The Fair Chance Ordinance is provided here.
Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance. The Fair Chance Ordinance is provided here.
For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here.
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Why join us
Brex is the intelligent finance platform that enables companies to spend smarter and move faster in more than 200 markets. By combining global corporate cards and banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend effortlessly. Brex’s AI-native automation and world-class service eliminate manual expense and accounting tasks for customers so they can focus on what matters most. Tens of thousands of the world's best companies run on Brex, including DoorDash, Coinbase, Robinhood, Zoom, Plaid, Reddit, and SeatGeek.
Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We’re committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.
Data at Brex
The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data—and insights derived from data—a core asset across the company.
What you’ll do
As a senior Data Analyst (DA III), you will own the end-to-end analytics lifecycle for one or more business areas at Brex. You’ll go beyond building dashboards—you’ll frame the right questions, design rigorous analyses, apply statistical methods, and translate your findings into clear recommendations for leadership. You will also serve as a technical leader on the Data Analytics team, mentoring more junior analysts and helping define the standards and best practices that elevate the team’s work.
This role sits at the intersection of analytics, analytics engineering, and business strategy. You’ll work in a modern data stack environment and partner closely with Data Scientists, Data Engineers, and senior leaders across the organization.
Where you’ll work
This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!
Responsibilities
- Own the analytics lifecycle for assigned business areas: from problem framing and data sourcing through analysis, insight generation, and stakeholder presentation.
- Build and maintain dashboards and self-service reporting tools that enable business teams to independently track performance, identify risks, and make data-driven decisions.
- Write production-quality SQL and Python code to extract, transform, and analyze data at scale.
- Collaborate with Data Engineers and Data Scientists to develop and maintain analytical data models, improve data pipelines, and ensure data quality across the organization.
- Partner with leadership across Sales, Operations, Product, Finance, and other departments to identify high-impact analytical opportunities and deliver actionable recommendations.
- Mentor other data analysts and contribute to the development of team standards, documentation, code review practices, and analytical frameworks.
- Proactively identify gaps in data infrastructure, propose improvements, and contribute to the evolution of the team’s tooling and processes.
Requirements
- 5+ years of experience in data analytics, business intelligence, or a related quantitative role.
- 3+ years of experience partnering directly with Sales, Operations, Product, or equivalent business teams as an embedded analytics partner.
- Advanced SQL proficiency, including CTEs, window functions, performance optimization, and working across complex data models.
- Proficiency in Python for data analysis, automation, and modeling (Pandas, NumPy, scikit-learn, or similar).
- Experience with cloud data warehouses, particularly Snowflake (BigQuery and Databricks also valued).
- Hands-on experience with BI and data visualization tools (Looker, Tableau, Hex, or similar).
- Strong stakeholder management skills—proven ability to present complex technical findings to non-technical audiences.
- Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.
Bonus points
- Demonstrated experience applying statistical methods to business problems (e.g., regression, classification, A/B testing).
- Experience with dbt for data modeling and transformation.
- Experience building and maintaining data pipelines using orchestration tools such as Airflow.
- Experience working with APIs for data ingestion and integration.
- Familiarity with version control systems (Git).
- Experience in fintech, financial services, or payments.
- Track record of leading cross-functional analytics projects from scoping through delivery.
Compensation
The expected salary range for this role is $114,192 - $142,740. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.
Brex LLC is a wholly owned subsidiary of Capital One, N.A.
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.
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About Us
Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere.
Our Values
- Data driven: Data decides, not egos
- Courageous: We take risks and challenge the status quo
- Innovative: We're constantly learning, creating, and adapting
- Lean: We focus on customers, using lean testing to learn how to serve them best
- Humble: Past success is not a guarantee of future success
About the Role
As an Analyst at Pearl, you will drive tangible business impact by delivering high-quality insights and recommendations grounded in your ability to combine strategic thinking with rigorous analysis. This role requires not only strong technical skills, but also the confidence and judgment to proactively identify opportunities, challenge assumptions, and advocate for data-informed decisions.
You will collaborate closely with Product Managers, executives, and cross-functional teams to uncover insights, shape strategy, and validate ideas through experimentation.
What You’ll Do
- Collaborate with Product and Analytics leadership to structure and perform deep-dive analyses, delivering actionable insights into key business areas
- Analyze large datasets (internal and external) to identify growth and optimization opportunities, translating findings into clear, compelling business recommendations
- Proactively surface insights and confidently make recommendations, even in ambiguous or evolving problem spaces
- Partner cross-functionally with Product, Engineering, Marketing, and executive stakeholders to align on priorities and drive outcomes
- Perform descriptive and prescriptive analytics using ML models, A/B and MAB experimentation, while building reports to understand business trends
- Track and implement business metrics to drive continuous improvement and support data-driven decision-making
- Act as a lead analyst, gaining deep insights into customers to inform strategic decisions
What We’re Looking For
- 3+ years of experience in product analytics (preferably within e-commerce or customer experience products)
- Proficiency in analysis and business modeling using Excel
- Experience with Google Analytics, BigQuery, PowerBI, and Python / R is a plus
- Strong SQL skills with the ability to write complex queries to extract insights
- Expertise in descriptive and inferential statistical analysis
- Strong experience designing, executing, and analyzing A/B or hypothesis-driven experiments
Core Soft Skills & Ways of Working:
- Confident decision influencer: Comfortable making recommendations and advocating for a point of view backed by data—even when there isn’t a perfect answer
- Executive communication: Ability to clearly and concisely communicate insights, trade-offs, and recommendations to senior leadership
- Cross-functional collaborator: Proven ability to partner effectively with diverse teams and navigate differing priorities
- Curiosity and ownership: Proactively identifies problems and opportunities without waiting for direction
- Comfort with ambiguity: Able to operate in loosely defined problem spaces and bring structure to complex questions
- Storytelling with data: Translates complex analysis into clear, compelling narratives that drive action
Remote From these States: California, Florida, Georgia, Idaho, Illinois, Massachusetts, Michigan, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, Texas, Virginia, Washington, and Wisconsin.
Pay Transparency: Pearl will provide pay transparency information upon application to those in qualifying jurisdictions. (Employment is with JustAnswer LLC, a Pearl company.
Our Commitment to an Inclusive Workplace
We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.
AI Disclosure & Informed Consent
Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy.
#LI-Remote
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Keep Growing with Nutrafol
We’re a growing company. Everything we do, we do to help people grow into the best version of themselves. As the pioneers of hair wellness, we create clinically tested products for hair growth and provide support for people at every step of their hair journey.
Our multi-factorial approach targets key root causes of hair thinning using a patented blend of standardized vitamins, minerals and natural ingredients -- and is recommended by over 7,500 physicians and hair professionals for trusted, reliable results. We never settle, and are continuously challenging existing treatments and methodologies to advance the frontier of hair science. As we help our customers grow, we grow too -- by embracing individuality and differences, leading by example, and empowering ourselves and others with our passion for wellness and innovation.
Keep growing. It’s our mantra. Our commitment to helping anybody and everybody committed to realizing their own potential to grow.
About You
Nutrafol is seeking a Senior Director, Marketing Analytics & Data Science to bring senior measurement leadership and advanced modeling capability to our marketing analytics function. This role partners with an established marketing analytics team that is actively driving the strategy, roadmap, and cross-functional unification of measurement across brand, growth, and retention.
We're looking for a senior measurement leader with hands-on data science depth to support and elevate an established marketing analytics team. The team owns strategy, roadmap, and cross-functional measurement — you bring technical rigor, modeling depth, and outside experience to accelerate their work.
Responsibilities:
- Measurement & modeling — provide senior support across the full portfolio: MMM, MTA, incrementality testing, website analytics, CM360 reporting, and growth journey analytics. Lead the technical implementation of MTA 2.0, partnering with the team that owns strategy and roadmap.
- Methodology & rigor — pressure-test assumptions, validate outputs, and guide reconciliation across measurement approaches so stakeholders know which signal to trust for which decision. Bring clarity to complex methodological questions, including privacy-resilient measurement.
- AI & advanced analytics — apply ML, statistical modeling, and AI (including LLM-based workflows and modeled conversions) to improve measurement quality, speed, and scalability.
- Mentorship — develop team members on measurement craft, modeling depth, and data science methods. Build advanced analytics capability within the function over time.
- Cross Functional Communication — translate technical measurement outputs into clear language for marketing, finance, and executive audiences. Support the team's credibility in cross-functional forums.
What success looks like:
- Own the strategy for MTA revamp, including implementation, validation, and trust — with clear reconciliation against MMM and incrementality
- Ensures measurement rigor is visibly elevated across the portfolio
- Introduce and test AI and modern analytics platforms to improve overall capabilities and measurement effectiveness
- Manage methodological choices, ensuring they’re well-documented, defensible, and trusted by business stakeholders
Requirements:
- 10+ years of experience in marketing analytics and measurement roles, with significant time in senior positions
- Deep expertise across MMM, multi-touch attribution, incrementality testing, website analytics, and growth/funnel analytics
- Hands-on background building or leading MMM and MTA models — with depth to implement, not just oversee
- Strong data science foundation: regression, Bayesian methods, time-series, and ML applied to marketing measurement
- Applied AI experience in marketing analytics — LLM-based workflows, modeled conversions, or measurement automation
- Proficiency in SQL and Python (or R); familiarity with GA4, CM360, and BI tools
- Experience mentoring analytics talent across measurement and data science
- eCommerce background required; DTC/subscription, and multi-channel experience strongly preferred
- Strong communicator; ability to influence cross-functional teams and Leaders across the organization
- Comfortable as a senior partner supporting a team that owns strategic direction
Preferred:
- Experience applying generative AI or LLMs to analytics workflows (insight generation, automation, self-serve)
- Hands-on knowledge of privacy-resilient measurement approaches (server-side tracking, modeled conversions, data clean rooms)
- Familiarity with modern data stack tools (Snowflake, BigQuery, dbt) and BI platforms (Looker, Tableau, Power BI)
Perks & Benefits
- Fully remote work experience
- Comprehensive medical, dental, and vision package, including FSA program
- 401K with employer match
- Quarterly Bonus Program
- Flexible PTO
- Two company-wide wellness breaks every day
- Free lunch on us every Tuesday and Thursday via Seamless/Grubhub
- Monthly wellness stipend
- Monthly internet stipend
- Monthly cell phone stipend
- Annual learning & development stipend
- Free meditation app membership (Headspace)
- Free Nutrafol subscription
- Pet insurance discounts and benefits
California residents may review our CCPA notice here.
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Applied AI & Analytics Associate - Office of the CEO
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About Us
SharkNinja is a global product design and technology company, with a diversified portfolio of 5-star rated lifestyle solutions that positively impact people’s lives in homes around the world. Powered by two trusted, global brands, Shark and Ninja, the company has a proven track record of bringing disruptive innovation to market and developing one consumer product after another has allowed SharkNinja to enter multiple product categories, driving significant growth and market share gains. Headquartered in Needham, Massachusetts with more than 4,100 associates, the company’s products are sold at key retailers, online and offline, and through distributors around the world.
Applied AI & Analytics Associate, Office of the CEO
Miami, FL | Office of the CEO — Data, Analytics & AI
You Don't Wait to Be Asked. Neither Do We.
At SharkNinja, we've built a culture around one simple belief: the best answer wins. Not the loudest opinion. Not the most senior voice in the room. The best answer — backed by data, delivered with clarity, and executed with urgency.
We're hiring an Applied AI & Analytics Associate to sit inside the Office of the CEO. This is not a support role. This is not a reporting role. This is a problem-solving role — one where you'll work directly alongside the VP, Chief of Staff to the CEO and senior leaders across the company to crack open the problems that matter most and turn them into decisions that drive the business forward.
If you thrive in ambiguity, build before you're told to, move fast across functions, and believe that a clean insight delivered fast beats a perfect deck delivered late — read on.
What You'll Actually Do
You will be an analytics and AI professional embedded in the Office of the CEO, contributing to high-impact analytical work across the company and contributing to how SharkNinja uses data and AI to make better decisions.
This is not a single-team support role. You'll move across functions — working with product, operations, finance, supply chain, marketing — on whatever problems matter most to the business right now.
On any given week, you might:
- Partner with the VP and Chief of Staff on analytical questions that require structured problem-framing, data modeling, or clear recommendations
- Contribute to multi-week analytical initiatives from scoping through delivery, working with senior stakeholders on managing expectations and timelines
- Build and maintain dashboards, decision-support tools, and analytical models that help senior leaders operate more effectively
- Use LLMs, AI automation, or machine learning to accelerate your own analysis and help other teams do the same
- Identify gaps in how the company tracks performance and propose practical improvements in collaboration with finance, operations, and product teams
- Work with teams to adopt analytical approaches or tools, contributing to broader adoption and impact
- Introduce better analytical methods and tools to raise the quality and consistency of output across teams
- Communicate findings clearly to senior stakeholders — translating complex analysis into straightforward recommendations that connect to business outcomes
- Connect the dots between data from multiple functions to surface insights no single team could see on their own
- Help support and review work from junior analysts or co-ops, contributing to their development
This is a hands-on role based in our Miami office with real ownership over analytical delivery and measurable business impact. You will work on complex problems with appropriate support from senior stakeholders and produce high-quality work.
What It Takes to Win Here
Must Have:
- 2+ years of experience in analytics, data science, or consulting with a demonstrated track record of analytical delivery
- Hands-on experience deploying or building with LLMs, generative AI, or automation tools — not just familiarity, but practical usage in real work
- Strong working command of SQL and Python — you pull and manipulate data directly and can build scalable analytical solutions
- Proficiency building dashboards and analytical tools (Tableau, Power BI, Looker, or similar)
- Clear communication skills — you can present findings to senior stakeholders and explain complex analysis in plain language
- Demonstrated ability to take an ambiguous business question and structure a complete analytical approach
- Experience managing multiple workstreams and delivering against timelines with limited oversight
- Previous project or program management experience — managing scope, timelines, and cross-functional coordination
- Understanding of impact orientation — you connect your analytical work to business results and can articulate what changed because of your analysis
- Experience contributing to adoption — you've worked on building or improving a tool, process, or approach that a team has used; you're learning what it takes to drive change
Even Better If You Have:
- Background in consumer products, retail, or e-commerce — you understand margin dynamics, go-to-market, and how these businesses scale
- Experience with advanced statistical methods — experimentation, time-series analysis, or applied ML
- Hands-on experience with large-scale data infrastructure — designing data pipelines, working with modern cloud platforms (Snowflake, BigQuery, Databricks)
- Prior exposure to working alongside executive or senior leadership teams
- Experience identifying and solving systemic problems — moving beyond answering a single question to fixing how a team or function operates
Tools & Stack
- Languages: SQL, Python (strong proficiency); R, Scala, or equivalent a plus
- BI & Visualization: Tableau, Power BI, Looker, or similar — deep proficiency in at least one platform
- Data Platforms: Hands-on experience with modern cloud data platforms (Snowflake, BigQuery, Databricks)
- AI & Automation: Production experience with LLMs, generative AI, or automation tools — not just familiarity, but deployed solutions
- Collaboration Tools: Slack, Jira, Asana, or similar for cross-functional coordination
Why This Role, Why Now
SharkNinja is one of the fastest-growing consumer product companies in the world. We operate with the intensity of a startup and the scale of a global brand — and the Office of the CEO is where the most important, cross-cutting work gets done.
This role gives you direct exposure to how a company at this scale makes decisions, solves hard problems, and keeps moving. You will not be on the sidelines. You will be in the room. You will work across the entire company, not in service of a single function.
If you want a role where you can see the impact of your work — where you're not just producing output but driving outcomes — and where you're building capability that others actually use, this is it.
Salary and Other Compensation: The annual salary range for this position is displayed below. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.
The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, flexible spending accounts, health savings accounts (HSA) with company contribution, 401(k) retirement plan with matching, employee stock purchase program, life insurance, AD&D, short-term disability insurance, long-term disability insurance, generous paid time off, company holidays, parental leave, identity theft protection, pet insurance, pre-paid legal insurance, back-up child and eldercare days, product discounts, referral bonus program, and more.
Our Culture
At SharkNinja, we don’t just raise the bar—we push past it every single day. Our Outrageously Extraordinary mindset drives us to tackle the impossible, push boundaries, and deliver results that others only dream of. If you thrive on breaking out of your swim lane, you’ll be right at home.
What We Offer
We offer competitive health insurance, retirement plans, paid time off, employee stock purchase options, wellness programs, SharkNinja product discounts, and more. We empower your personal and professional growth with high impact Learning Programs featuring bold voices redefining what’s possible. When you join, you’re not just part of a company—you’re part of an outrageously extraordinary community. Together, we won’t just launch products—we’ll disrupt entire markets.
At SharkNinja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens SharkNinja’s innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration. With help from our leadership, associates, and our community, we aim to have equity be a key component of the SharkNinja DNA.
Learn more about us:
Life At SharkNinja
Outrageously Extraordinary
SharkNinja Candidate Privacy Notice
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For candidates based in all regions, please refer to this Candidate Privacy Notice.
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For candidates based in China, please refer to this Candidate Privacy Notice.
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For candidates based in Vietnam, please refer to this Candidate Privacy Notice.
We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at accommodations@sharkninja.com
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People Data Analytics Engineer
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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE TEAM
The People Analytics team is at the forefront of transforming how we understand and optimize our workforce. We are a dynamic group of analytical thinkers and storytellers who leverage advanced analytics and robust methodologies to create strategic insights from complex HR data. Collaborating closely with HR Business Partners, Program Management Teams, Business Operations, Talent Acquisition and various cross functional stakeholders we provide actionable insights that drive informed decisions across the entire employee lifecycle; from optimizing talent acquisition and development to enhancing engagement and retention. Our work directly shapes a thriving employee experience, fuels organizational growth, and ensures our people strategy is truly data-driven.
ABOUT THE JOB
This role is central to our People Data & Analytics team, where you will be instrumental in building and maintaining the robust data infrastructure that powers our strategic insights. You'll own the full data lifecycle, from ensuring accurate ingestion and integration of diverse HR data sources, to designing, developing, and optimizing data models and pipelines. Your primary objective will be to transform raw, disparate information into clean, reliable, and analytics-ready datasets, empowering our People Analysts and business stakeholders to unlock deeper understanding of our workforce, enhance employee experience, and drive data-driven decision-making. Success in this role requires a strong technical foundation, meticulous attention to data quality, and a passion for crafting efficient data solutions.
WHAT YOU'LL DO
- Design, build, and optimize robust ETL/ELT pipelines to reliably ingest, integrate, and transform diverse people data from various HR systems (HRIS, ATS, LMS, etc.) into our data platform.
- Develop, maintain, and govern scalable and secure data models, schemas, and ontologies specifically for people analytics, ensuring data quality, consistency, and accessibility for downstream consumption.
- Contribute to the strategic design, development, and evolution of our people data platform and tooling, advocating for engineering best practices, automation, and a scalable analytics ecosystem (e.g., leveraging SQLMesh, Iceberg, Flyte).
- Partner closely with People Analysts, HR Business Partners, and other stakeholders to understand their analytical needs and translate them into robust data solutions, providing well-structured, documented, and reliable datasets.
- Implement and monitor data quality checks, identify discrepancies, troubleshoot data issues, and ensure the reliability and integrity of people data across all systems.
- Continuously monitor the performance of data pipelines and models, identifying bottlenecks and implementing solutions to ensure the efficiency and scalability of our people data infrastructure.
- Create and maintain comprehensive documentation for data pipelines, models, and processes, and champion data engineering best practices (e.g., version control, testing, CI/CD) within the team.
- Implement and enforce strict data security measures and ensure all data handling practices comply with internal policies and external regulations (e.g., GDPR, CCPA) related to employee data privacy.
- Collaborate with broader enterprise analytics and data engineering teams to align on data architecture standards, integrate people data with other business domains, and contribute to the overall evolution of the company's data platform.
REQUIRED QUALIFICATIONS
- 5-7 years of progressive experience in Data Engineering, Analytics Engineering, or a similar role focused on building and optimizing data pipelines and data infrastructure.
- Expert-level proficiency in SQL for complex data manipulation and querying, and advanced Python for scripting, data processing, and automation.
- Extensive experience with cloud-based data warehousing solutions (e.g., Snowflake, Google BigQuery, AWS Redshift, Databricks/Delta Lake) and data lake technologies (e.g., AWS S3, Azure Data Lake Storage).
- Deep understanding and proven experience in designing, implementing, and maintaining robust data models (e.g., dimensional modeling, Kimball methodology) for analytical purposes.
- Hands-on experience building and optimizing complex ETL/ELT processes and data pipelines using modern tools such as dbt, Apache Airflow, Flyte, Dagster, or similar orchestration platforms.
- Excellent communication skills, both written and verbal, with the ability to translate technical concepts for non-technical stakeholders and collaborate effectively across diverse teams.
- Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
- Strong technical foundation in data engineering, with expertise in SQL, Python, and experience working with cloud-based data platforms (e.g., AWS, GCP, Azure).
Preferred Qualifications:
- Experience with big data processing frameworks (e.g., Apache Spark, Flink) and advanced data warehousing features like schema evolution or time travel (e.g., Apache Iceberg, Delta Lake).
- Direct hands-on experience with tools mentioned in our stack like Palantir Foundry, SQLMesh, Flyte, or similar cutting-edge data orchestration and transformation platforms.
- Relevant professional certifications from major cloud providers (e.g., AWS Certified Data Analytics - Specialty, Google Cloud Professional Data Engineer).
- Experience with tools like Terraform, CloudFormation, Docker, or Kubernetes for managing data infrastructure and deploying applications.
- Familiarity with integrating data pipelines with leading BI tools (e.g., Tableau, Power BI, Looker) to optimize dashboard performance and data accessibility for end-users.
- Deep expertise working with data from specific enterprise HRIS systems like Rippling, Workday, and Oracle HCM Cloud including their data models and APIs.
- Solid understanding of HR data concepts, metrics, and common HR systems (HRIS, ATS, LMS), with a strong interest in People Analytics.
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
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No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
- Please always verify communications:
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
@anduril.comaddress. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
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Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
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What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.
Data Privacy
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
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People Data Analytics Engineer
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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE TEAM
The People Analytics team is at the forefront of transforming how we understand and optimize our workforce. We are a dynamic group of analytical thinkers and storytellers who leverage advanced analytics and robust methodologies to create strategic insights from complex HR data. Collaborating closely with HR Business Partners, Program Management Teams, Business Operations, Talent Acquisition and various cross functional stakeholders we provide actionable insights that drive informed decisions across the entire employee lifecycle; from optimizing talent acquisition and development to enhancing engagement and retention. Our work directly shapes a thriving employee experience, fuels organizational growth, and ensures our people strategy is truly data-driven.
ABOUT THE JOB
This role is central to our People Data & Analytics team, where you will be instrumental in building and maintaining the robust data infrastructure that powers our strategic insights. You'll own the full data lifecycle, from ensuring accurate ingestion and integration of diverse HR data sources, to designing, developing, and optimizing data models and pipelines. Your primary objective will be to transform raw, disparate information into clean, reliable, and analytics-ready datasets, empowering our People Analysts and business stakeholders to unlock deeper understanding of our workforce, enhance employee experience, and drive data-driven decision-making. Success in this role requires a strong technical foundation, meticulous attention to data quality, and a passion for crafting efficient data solutions.
WHAT YOU'LL DO
- Design, build, and optimize robust ETL/ELT pipelines to reliably ingest, integrate, and transform diverse people data from various HR systems (HRIS, ATS, LMS, etc.) into our data platform.
- Develop, maintain, and govern scalable and secure data models, schemas, and ontologies specifically for people analytics, ensuring data quality, consistency, and accessibility for downstream consumption.
- Contribute to the strategic design, development, and evolution of our people data platform and tooling, advocating for engineering best practices, automation, and a scalable analytics ecosystem (e.g., leveraging SQLMesh, Iceberg, Flyte).
- Partner closely with People Analysts, HR Business Partners, and other stakeholders to understand their analytical needs and translate them into robust data solutions, providing well-structured, documented, and reliable datasets.
- Implement and monitor data quality checks, identify discrepancies, troubleshoot data issues, and ensure the reliability and integrity of people data across all systems.
- Continuously monitor the performance of data pipelines and models, identifying bottlenecks and implementing solutions to ensure the efficiency and scalability of our people data infrastructure.
- Create and maintain comprehensive documentation for data pipelines, models, and processes, and champion data engineering best practices (e.g., version control, testing, CI/CD) within the team.
- Implement and enforce strict data security measures and ensure all data handling practices comply with internal policies and external regulations (e.g., GDPR, CCPA) related to employee data privacy.
- Collaborate with broader enterprise analytics and data engineering teams to align on data architecture standards, integrate people data with other business domains, and contribute to the overall evolution of the company's data platform.
REQUIRED QUALIFICATIONS
- 5-7 years of progressive experience in Data Engineering, Analytics Engineering, or a similar role focused on building and optimizing data pipelines and data infrastructure.
- Expert-level proficiency in SQL for complex data manipulation and querying, and advanced Python for scripting, data processing, and automation.
- Extensive experience with cloud-based data warehousing solutions (e.g., Snowflake, Google BigQuery, AWS Redshift, Databricks/Delta Lake) and data lake technologies (e.g., AWS S3, Azure Data Lake Storage).
- Deep understanding and proven experience in designing, implementing, and maintaining robust data models (e.g., dimensional modeling, Kimball methodology) for analytical purposes.
- Hands-on experience building and optimizing complex ETL/ELT processes and data pipelines using modern tools such as dbt, Apache Airflow, Flyte, Dagster, or similar orchestration platforms.
- Excellent communication skills, both written and verbal, with the ability to translate technical concepts for non-technical stakeholders and collaborate effectively across diverse teams.
- Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
- Strong technical foundation in data engineering, with expertise in SQL, Python, and experience working with cloud-based data platforms (e.g., AWS, GCP, Azure).
Preferred Qualifications:
- Experience with big data processing frameworks (e.g., Apache Spark, Flink) and advanced data warehousing features like schema evolution or time travel (e.g., Apache Iceberg, Delta Lake).
- Direct hands-on experience with tools mentioned in our stack like Palantir Foundry, SQLMesh, Flyte, or similar cutting-edge data orchestration and transformation platforms.
- Relevant professional certifications from major cloud providers (e.g., AWS Certified Data Analytics - Specialty, Google Cloud Professional Data Engineer).
- Experience with tools like Terraform, CloudFormation, Docker, or Kubernetes for managing data infrastructure and deploying applications.
- Familiarity with integrating data pipelines with leading BI tools (e.g., Tableau, Power BI, Looker) to optimize dashboard performance and data accessibility for end-users.
- Deep expertise working with data from specific enterprise HRIS systems like Rippling, Workday, and Oracle HCM Cloud including their data models and APIs.
- Solid understanding of HR data concepts, metrics, and common HR systems (HRIS, ATS, LMS), with a strong interest in People Analytics.
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
-
No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
- Please always verify communications:
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
@anduril.comaddress. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
-
Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
-
What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.
Data Privacy
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Ready to apply?
Apply to Anduril Industries
Data Engineer
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About the opportunity
We are seeking a Data Engineer to help design, build, and scale modern data solutions that power analytics, operational reporting, and business decision-making across the company. You will work closely with our data, analytics, and business teams to develop high-quality data pipelines, models, and integrations that deliver clean, reliable, and actionable data.
You will join a small, cross-geography engineering team operating with a product mindset - delivering iterative value, partnering closely with business and analytics stakeholders, and owning both build and run responsibilities of a mission-critical platform.
What to expect?
- Design, build, and maintain scalable data pipelines and transformations across multiple systems and sources.
- Develop high-quality data models that support analytics, reporting, and operational use cases.
- Partner with analytics, product, and business stakeholders to understand data needs and translate them into technical solutions.
- Implement strong data quality, validation, and monitoring processes to ensure reliability and trust in the data.
- Optimize data storage, processing, and performance within cloud data warehousing environments.
- Contribute to the development and evolution of our modern data platform, including tooling, standards, and best practices.
- Support data platform operations—troubleshooting issues, improving reliability, and ensuring SLAs are met.
- Collaborate with cross-functional partners on governance, documentation, definitions, and data stewardship.
- Implement CI/CD practices and Infrastructure-as-Code (IaC) to automate deployment, testing, and environment management.
- Participate in code reviews, design discussions, and operational on-call rotations as needed.
What do you need to be successful?
Required
- 3–6+ years of experience in Data Engineering or a similar technical role.
- Strong SQL skills and experience working with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery).
- Experience building and maintaining ETL/ELT pipelines using tools such as dbt, Airflow, or similar frameworks.
- Proficiency in Python or another scripting language.
- Strong understanding of data modeling, data structures, and modern data architecture patterns.
- Experience with CI/CD workflows, version control (Git), and Infrastructure-as-Code tools (Terraform a plus).
- Familiarity with data governance, quality, lineage, and cataloging concepts and tools.
- Demonstrated ability to collaborate with analysts, engineers, and business partners in a cross-functional environment.
- Excellent communication skills and a product-focused mindset.
Preferred
- Experience with monitoring/observability tools (e.g., Monte Carlo, Datadog).
- Experience with BI tools such as Tableau or Looker.
- Background in distributed systems, APIs, or event-based architectures.
- Exposure to data security, compliance, or privacy frameworks.
- Experience utilizing AI for development.
What we're looking for
- A builder who enjoys solving complex data challenges with clean, reliable, scalable solutions.
- A collaborator who thrives in cross-functional environments and communicates clearly.
- A problem-solver who cares about quality, consistency, and long-term maintainability.
- Someone who wants to make a measurable impact by empowering data-driven decision-making across the company.
What's in it for you?
- Join an ambitious tech company reshaping the way people build digital experiences
- Full-time employees receive Stock Options for the opportunity to share in the success of our company
- Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for your dependents.
- Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
- We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss, education days, and volunteer days
- Company paid parental leave to care for and focus on your growing family
- Use your personal annual education budget to improve your skills and grow in your career
- Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties
- An annual wellbeing stipend to care for your physical, financial, or emotional health
- A monthly communication stipend and phone hardware upgrade reimbursement.
- New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.
This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.
This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.
The application deadline is 05/23/26
Colorado Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.
Colorado Salary Range: $119,000-$161,000
Who are we?
Contentful is a leading digital experience platform that helps modern businesses meet the growing demand for engaging, personalized content at scale. By blending composability with native AI capabilities, Contentful enables dynamic personalization, automated content delivery, and real-time experimentation, powering next-generation digital experiences across brands, regions, and channels for more than 4,200 organizations worldwide. More than 700 people from more than 70 nations contribute their energy and creativity to Contentful, working from hubs in Berlin, Denver, San Francisco, London, New York, and distributed worldwide.
Everyone is welcome here!
“Everyone is welcome here” is a celebrated component of our culture. At Contentful, we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences, and we are proud to be an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical [dis]ability, or length of time spent unemployed. We invite you to apply and join us!
If you need reasonable accommodations at any point during the application or interview process, please let your recruiting coordinator know.
Please be aware of scammers who may fraudulently allege to be from Contentful. These types of fraud can be carried out through copycat websites, fake email addresses claiming to be from our company, or social media. We do not ask for your personal information, such as bank account numbers, identification numbers, etc, through social media or chat-based apps, nor do we request or send money for the purchase of business equipment. If you suspect fraud, please report it to your local authorities, as well as reach out to us at security-esk@contentful.com with any information you may have.
By clicking “Apply for this job,” I acknowledge that I have read the “Contentful’s Candidate Privacy Notice” and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
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Marketing Operations and AI Specialist
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Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk.
Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake.
Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital.
Chainguard is looking for a marketing operation AI superstar who can build the analytics infrastructure, AI agents, and the tech stack that power our marketing team and help teammates actually use AI well. You're comfortable working independently, have 3–5 years under your belt, and are ready to go from day one.
What You'll Do
Analytics & Data
- Build and maintain marketing dashboards and pipelines, covering pipeline pacing, attribution, and segment and channel level performance across MQL, SAL, SQL, and pipeline $
- Partner with Sales Ops on goal tracking, lead flow, and segmentation
- Define attribution frameworks and data models that make marketing performance clear and defensible
AI Build & Automate
- Identify high-friction, repetitive processes across the marketing team and design agentic solutions that reduce manual effort and speed up execution
- Partner with marketers to understand their workflows, then build tools and automations they'll actually use
- Create and document reusable agent templates and playbooks so the team can spin up new automations independently over time
Tech Stack & Enablement
- Assist with core marketing tools Hubspot, CRM integrations, intent tools, and lead routing
- Run AI enablement for the marketing team: workshops, playbooks, and hands-on coaching
What We're Looking For
- 3–5 years in Marketing Operations or a GTM engineer role at a B2B SaaS company
- Solid SQL skills and experience with a data warehouse (BigQuery, Snowflake, or similar)
- Experience building automations and integrations (APIs, webhooks, workflow tools)
- Experience with Salesforce, LeanData and Hubspot is a must and HockeyStack, Seam, Unify, and Qualified is a nice to have
- Already using AI tools in your workflow and have a point of view on what works
- Organized, self-directed, and builds with documentation and scale in mind
About Us
We live and breathe our company values:
- We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better.
- We have a bias for intentional action — We prioritize, plan, try things, and fail fast.
- We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey.
- We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions.
A few of the benefits we offer:
- Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs.
- Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!).
- 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck.
- ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset.
- 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year.
If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences.
Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice.
©2026 Chainguard. All Rights Reserved.
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About Northbeam
Northbeam is building the world's most advanced marketing intelligence platform, providing top eCommerce brands a unified view of their business data through powerful attribution modeling and customizable dashboards. Our technology helps customers accurately track ad spend, understand the full customer journey, and drive profitable growth.
We're experiencing rapid growth, have strong product-market fit, and are looking for the right people to help us scale. This is a rare chance to make a meaningful impact at a fast-moving, high-growth company. At Northbeam, you'll join a team of driven, collaborative, and talented individuals who value personal growth and excellence. We'd love for you to be part of our journey.
We're a remote-friendly company with offices in San Francisco and Los Angeles.
About the Role
The Senior Support Engineer role is a key member of the post-sales team working closely with engineering, sales, customer success, and directly with customers. This person is a technical expert able to assess and resolve setup issues, bugs, or any other technical challenges customers may face (e.g. scripting challenges, data exports). This role is a crucial part of the customer satisfaction function on the team. The ideal person loves to figure out why something is not working and can clearly articulate the best way to resolve – sometimes creatively.
We’re a remote-first company with team members in San Francisco, Los Angeles, New York, and more.
Your Impact
- Act as the first line of support for technical issues raised via support tickets, Slack channels, or through Customer Success Managers, communicating clearly and effectively with both technical and non-technical stakeholders throughout the resolution process.
- Work directly with customers to integrate Northbeam into their ecommerce and analytics infrastructure, or to assess and resolve issues when troubleshooting is required.
- Diagnose and resolve technical issues by analyzing customer implementations, including scripts such as Pixels and Orders APIs.
- Own data quality issues end-to-end, partnering with internal teams to address proactively flagged issues and working with customers to resolve them.
- Escalate complex or product-level issues to Engineering when appropriate, providing clear context and reproduction details.
- Continuously improve external-facing documentation to enable smoother onboarding and more self-serve customer workflows.
Role Characteristics
- Approximately 70–80% of the role is backend-focused, involving debugging data pipelines and investigating logs.
- The role usually works closely with the data and engineering teams, rather than the product teams.
- Success in this role requires strong analytical thinking, attention to detail, and comfort working through ambiguous technical problems.
What You Bring
Experience
- Bachelor's Degree or similar experience preferred, but not required
- 2+ years of software engineering or support engineering experience
- You should be proficient with:
- Writing and editing SQL queries
- JavaScript and HTML (basics)
- Web based APIs
- 2+ years of experience working directly with customers in a technical or support capacity.
- Strong ability to translate technical concepts into clear, easy-to-follow documentation, emails, and instructions.
- Excellent written and verbal communication skills.
Technical Skills
- Administrator tooling:
- Retool, ActiveAdmin, Django Admin, or other similar tools
- Python (nice to have)
- Proficient in data analytics tools (nice to have)
- Working knowledge of APIs, Datadog, Airflow, Postgres, and BigQuery.
#LI-Remote
Actual compensation may vary based on experience, skills, and location.
In addition to your base salary, we offer an equity package, comprehensive healthcare benefits (medical, dental, and vision), and a 401(k) plan. Our team enjoys a flexible PTO policy, 12 company-paid holidays, and 12 weeks of paid parental leave. We also provide a $500 work-from-home stipend to support your remote setup.
Interview Process
The interview process varies by role but typically begins with a 30-minute interview with a Northbeam recruiter, followed by a video interview with the hiring manager. Next, candidates complete a role-specific video interview followed by video or onsite interviews with several team members. The final step is a video interview with our CEO/Co-founder. The entire interview process is usually 5-7 interviews total and requires around 5-8 hours of your time.
We accept applications on an ongoing basis.
Ready to apply?
Apply to Northbeam
About Northbeam
Northbeam is building the world's most advanced marketing intelligence platform, providing top eCommerce brands a unified view of their business data through powerful attribution modeling and customizable dashboards. Our technology helps customers accurately track ad spend, understand the full customer journey, and drive profitable growth.
We're experiencing rapid growth, have strong product-market fit, and are looking for the right people to help us scale. This is a rare chance to make a meaningful impact at a fast-moving, high-growth company. At Northbeam, you'll join a team of driven, collaborative, and talented individuals who value personal growth and excellence. We'd love for you to be part of our journey.
We're a remote-friendly company with offices in San Francisco and Los Angeles.
About the Role
The Support Engineer role is a key member of the post-sales team working closely with engineering, sales, customer success, and directly with customers. This person is a technical expert able to assess and resolve setup issues, bugs, or any other technical challenges customers may face (e.g. scripting challenges, data exports). This role is a crucial part of the customer satisfaction function on the team. The ideal person loves to figure out why something is not working and can clearly articulate the best way to resolve – sometimes creatively.
We’re a remote-first company with team members in San Francisco, Los Angeles, New York, and more.
Your Impact
- Act as the first line of support for technical issues raised via support tickets, Slack channels, or through Customer Success Managers, communicating clearly and effectively with both technical and non-technical stakeholders throughout the resolution process.
- Work directly with customers to integrate Northbeam into their ecommerce and analytics infrastructure, or to assess and resolve issues when troubleshooting is required.
- Diagnose and resolve technical issues by analyzing customer implementations, including scripts such as Pixels and Orders APIs.
- Own data quality issues end-to-end, partnering with internal teams to address proactively flagged issues and working with customers to resolve them.
- Escalate complex or product-level issues to Engineering when appropriate, providing clear context and reproduction details.
- Continuously improve external-facing documentation to enable smoother onboarding and more self-serve customer workflows.
Role Characteristics
- Approximately 70–80% of the role is backend-focused, involving debugging data pipelines and investigating logs.
- The role usually works closely with the data and engineering teams, rather than the product teams.
- Success in this role requires strong analytical thinking, attention to detail, and comfort working through ambiguous technical problems.
What You Bring
Experience
- Bachelor's Degree or similar experience preferred, but not required
- 2+ years of software engineering or support engineering experience
- You should be proficient with:
- Writing and editing SQL queries
- JavaScript and HTML (basics)
- Web based APIs
- 2+ years of experience working directly with customers in a technical or support capacity.
- Strong ability to translate technical concepts into clear, easy-to-follow documentation, emails, and instructions.
- Excellent written and verbal communication skills.
Technical Skills
- Administrator tooling:
- Retool, ActiveAdmin, Django Admin, or other similar tools
- Python (nice to have)
- Proficient in data analytics tools (nice to have)
- Working knowledge of APIs, Datadog, Airflow, Postgres, and BigQuery.
#LI-Remote
Actual compensation may vary based on experience, skills, and location.
In addition to your base salary, we offer an equity package, comprehensive healthcare benefits (medical, dental, and vision), and a 401(k) plan. Our team enjoys a flexible PTO policy, 12 company-paid holidays, and 12 weeks of paid parental leave. We also provide a $500 work-from-home stipend to support your remote setup.
Interview Process
The interview process varies by role but typically begins with a 30-minute interview with a Northbeam recruiter, followed by a video interview with the hiring manager. Next, candidates complete a role-specific video interview followed by video or onsite interviews with several team members. The final step is a video interview with our CEO/Co-founder. The entire interview process is usually 5-7 interviews total and requires around 5-8 hours of your time.
We accept applications on an ongoing basis.
Ready to apply?
Apply to Northbeam
Staff Software Engineer, Data Platform
About Ladder
We saw a problem within the life insurance industry: getting covered took too long, involved too much paperwork, and required too many in-person meetings with sales agents. Having lost his father at a young age, our CEO, Jamie, was determined to make it easier for people to get the coverage they needed to provide for their families. So, we got to work. We developed a method of real-time underwriting leveraging AI and, in doing so, reduced the months-long process of applying for life insurance to minutes. Our digital experience is quick (instant decisions!), loved by users (check out our Trustpilot or Google reviews) and prolific ($74 billion+ in coverage provided).
About the role
We are looking for a powerhouse Staff Software Engineer with battle-tested experience building ETL pipelines at massive scale. You will take ownership of our toughest backend and data plumbing challenges, bridging our transactional systems (Datomic) with our analytical and streaming infrastructure (BigQuery, Kafka, Flink, DBT) to architect resilient, elegant, and high-volume data pipelines. If you dream in immutable data structures and love using functional programming to untangle architectural knots, we need you.
The ideal candidate brings demonstrated experience in software engineering, leadership maturity and a deep understanding of engineering infrastructure. This is a remote role based in one of the 22 States Ladder is currently hiring in - AZ, CA, CO, CT, FL, GA, KS, MA, MD, MN, NC, NH, NJ, NV, NY, OH, OR, PA, TX, VA, WA, WI. Please note, Ladder is not currently sponsoring or transferring OPT or H1-B visa's.
How You'll Make a Difference
As a senior technical leader on the team, you won't just be writing code, you'll be shaping our entire data strategy. You will:
- Architect and Build: Design, deploy, and scale robust data pipelines that reliably move and transform data between Datomic, Kafka, and BigQuery.
- Tame the Chaos: Build elegant, fault-tolerant ETL systems leveraging frameworks like DBT to ingest, sanitize, and normalize messy, unstructured data from dozens of third-party APIs and legacy vendors.
- Master the Stream: Evolve our event-driven architecture, optimizing streaming performance (Kafka/BEAM) to support real-time machine learning models
- Drive Technical Excellence: Act as a force multiplier for the engineering team. You'll set standards for backend architecture in Clojure, mentor peers, and make high-stakes technical decisions that scale with our rapid growth.
- Bridge the Gap: Partner closely with Data Science, Product and Business Development teams to ensure our data infrastructure proactively serves the evolving needs of the business.
Who You Are
- A seasoned technical leader: You bring 8+ years of rigorous software or data engineering experience to the table, backed by a strong academic foundation (BS or MS in Computer Science or a related field). You have a proven track record operating at a Staff or Principal level, where you don't just write code - you define technical strategy and mentor teams.
- A Clojure authority: You have deep, production-grade experience natively architecting complex backend systems in Clojure and the JVM. Functional programming and immutable data structures aren't just concepts to you; they are your preferred tools for building highly reliable software.
- A medallion architect: You have 4+ battle-tested years designing high-volume ETL/ELT pipelines at massive scale. You are an expert at structuring data lakes through Raw/Bronze, Cleansed/Silver, and Curated/Gold layers, and you rely on advanced dbt modeling to ensure pristine data quality.
- A modern data stack master: You have extensive, hands-on experience operating cloud data warehouses (specifically BigQuery), streaming infrastructure (Kafka), and processing frameworks (Apache Beam, Flink, or Spark). Wrangling messy, unstructured third-party API data into clean, ready-to-query models is second nature to you.
- An autonomous systems thinker: You thrive in ambiguity and deeply understand the harsh realities of distributed systems. You don't just patch bugs; you design elegant, event-driven architectures that prevent entire classes of problems from happening in the first place.
Technologies We Use
- Backend: Clojure, JVM
- Data: Datomic, BigQuery, BEAM, Sigma, SQL
- Infrastructure: Kafka, Docker, Kubernetes, Packer, Terraform, GCP, GraphQL
- Frontend: Typescript, JavaScript, React
What we Offer
Ladder is highly collaborative and fun. To support you in your role, we offer fantastic perks and benefits that reflect our mission of care and support, including:
- Excellent medical, dental, and vision coverage | We offer competitive healthcare,dental and vision plans for you and your family.
- Flexible paid time off | Take the time that you need to rest and recharge, including our week-long winter holiday closure.
- Stock options | We offer competitive stock option packages to participate in the success of building Ladder
- A rewarding 401k match program | We'll match up to 4% of your contributions as you save for your retirement goals.
- Ladder Fit Program | Your health matters. That’s why Ladder provides a monthly reimbursement for wellness-related expenses.
- Commuter benefits | When you work from the office, you will receive pre-tax
- benefits for your commute and free parking.
- A stocked, beautiful new office | Located in downtown Palo Alto, our office was specifically designed to accommodate all working styles. We've invested in technology to support our hybrid team, plus we provide office snacks and daily catered lunches so that team members can work well and have fun together.
- Paid parental leave | We think it's crucial that new parents have time to adjust to their new lives without worrying about work, so we provide all parents inclusive of birthing, adoption, or fostering ten weeks of paid baby bonding.
- Work-from-home flexibility and support | We recognize that everyone's homelife is different and support remote and hybrid work. Upon joining, we provide a one-time remote office stipend for all team members and then a monthly stipend to cover WFH costs such as the internet.
- Fun company-wide events | Whether we work locally or remotely, we genuinely enjoy spending time together. That’s why we plan fun virtual and in-person events to let loose and laugh.
The base pay range targeted for this position is $160,000 - $230,000. This role is eligible for equity and benefits as shared above. Base pay is determined by market location and may vary depending on job-related knowledge, skills, and experience.
Ladder is building a diverse team of talented and enthusiastic people. We are an equal opportunity workplace. At Ladder, differences are celebrated and supported to benefit our people, product, and community. Let us know why you're interested in this position and what unique contributions you can make to the Ladder team. We look forward to hearing from you.
Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria – unlike majority candidates meeting significantly fewer requirements. We strongly encourage you to apply if you’re interested: we'd love to know how you can elevate our team with your unique experience!
By clicking "Submit Application," you acknowledge that you have read and agree to the Ladder Job Applicant Privacy Policy and Notice at Collection.
Ready to apply?
Apply to Ladder
Senior Software Engineer, Infrastructure
About Ladder
We saw a problem within the life insurance industry: getting covered took too long, involved too much paperwork, and required too many in-person meetings with sales agents. Having lost his father at a young age, our CEO, Jamie, was determined to make it easier for people to get the coverage they needed to provide for their families. So, we got to work. We developed a method of real-time underwriting leveraging AI and, in doing so, reduced the months-long process of applying for life insurance to minutes. Our digital experience is quick (instant decisions!), loved by users (check out our Trustpilot or Google reviews) and prolific ($74 billion+ in coverage provided).
About the role
We are looking for a Senior Software Engineer to accelerate developer productivity across Ladder's engineering organization. You'll own and modernize our CI/CD pipelines, build systems, and developer tooling - while also contributing to the reliability of our cloud infrastructure and data platform.
The ideal candidate brings demonstrated experience in software engineering, leadership maturity and a deep understanding of engineering infrastructure.
This is a remote role based in one of the 22 States Ladder is currently hiring in - AZ, CA, CO, CT, FL, GA, KS, MA, MD, MN, NC, NH, NJ, NV, NY, OH, OR, PA, TX, VA, WA, WI. Please note, Ladder is not currently sponsoring or transferring OPT or H1-B visa's.
How You'll Make a Difference
As a senior engineer on the team, you won't just be writing code, you'll be shaping our platform strategy. You will:
- Improve developer velocity across the engineering organization. You'll measure and optimize the inner loop - how long it takes an engineer to go from code change to confident production deployment. This includes build times, test parallelization, deployment rollout speed, and the tooling engineers interact with every day.
- Shape the architecture of Ladder's production infrastructure. You'll evaluate trade-offs and make high-impact technical decisions — like whether to replace custom monitoring tooling with native cloud provider integrations, or redesign how we rebuild data pipelines when upstream logic changes. You'll be the person who sees the big picture across systems and decides where to invest engineering effort.
- Participate in incident response for infrastructure, run retrospectives, and help drive follow-through on fixes as part of the team.
- Systematically pay down infrastructure tech debt. You'll partner with your team to identify legacy systems that have been superseded by better alternatives and build a roadmap to retire them — migrating from bespoke systems to native integrations, cleaning up remnants of past cloud migrations, and upgrading components that have drifted behind.
- You'll raise the engineering bar through code reviews, design reviews, and technical guidance - not through formal management, but through the quality and clarity of your technical work.
Who You Are
- A functional programming expert: You have deep production experience with Clojure or another functional language and are excited to work in a Clojure-and-JVM environment. Prior Clojure experience is a strong plus.
- An expert with CI/CD and Build pipelines: You have battle-tested experience profiling and optimizing CI/CD pipelines for large codebases, possess intricate knowledge of monorepo build tools like Bazel and Buck, and know how to solve issues related to build and test slowness.
- An Infrastructure enthusiast: You have extensive experience with cloud-native technologies like Kubernetes, Terraform, Datomic, BigQuery and cloud platforms like GCP.
- A Systems Thinker: You possess a deep understanding of software design and architecture. You don't just patch bugs; you design elegant systems that prevent entire classes of problems.
- A Self Starter: You thrive in ambiguity. You can take a high-level, messy business problem, define the technical constraints, and drive the solution from ideation to deployment.
Experience Required
- 6+ years of professional software engineering experience, with 3+ years in infrastructure/platform roles
- BS, MS in Computer Science or related technical field a strong plus
- Must-have: Kubernetes, GCP (or equivalent cloud), CI/CD pipeline design, Docker, infrastructure-as-code, JVM operational experience, BigQuery, Kafka
- Strong plus: Clojure, Datomic, Datadog or similar observability platform, monorepo build tools (Buck, Bazel)
- Nice-to-have: Go, Python, Beam/Dataflow,
What we Offer
Ladder is highly collaborative and fun. To support you in your role, we offer fantastic perks and benefits that reflect our mission of care and support, including:
- Excellent medical, dental, and vision coverage | We offer competitive healthcare,dental and vision plans for you and your family.
- Flexible paid time off | Take the time that you need to rest and recharge, including our week-long winter holiday closure.
- Stock options | We offer competitive stock option packages to participate in the success of building Ladder
- A rewarding 401k match program | We'll match up to 4% of your contributions as you save for your retirement goals.
- Ladder Fit Program | Your health matters. That’s why Ladder provides a monthly reimbursement for wellness-related expenses.
- Commuter benefits | When you work from the office, you will receive pre-tax
- benefits for your commute and free parking.
- A stocked, beautiful new office | Located in downtown Palo Alto, our office was specifically designed to accommodate all working styles. We've invested in technology to support our hybrid team, plus we provide office snacks and daily catered lunches so that team members can work well and have fun together.
- Paid parental leave | We think it's crucial that new parents have time to adjust to their new lives without worrying about work, so we provide all parents inclusive of birthing, adoption, or fostering ten weeks of paid baby bonding.
- Work-from-home flexibility and support | We recognize that everyone's homelife is different and support remote and hybrid work. Upon joining, we provide a one-time remote office stipend for all team members and then a monthly stipend to cover WFH costs such as the internet.
- Fun company-wide events | Whether we work locally or remotely, we genuinely enjoy spending time together. That’s why we plan fun virtual and in-person events to let loose and laugh.
The base pay range targeted for this position is $145,000 - $192,000. This role is eligible for equity and benefits as shared above. Base pay is determined by market location and may vary depending on job-related knowledge, skills, and experience.
Ladder is building a diverse team of talented and enthusiastic people. We are an equal opportunity workplace. At Ladder, differences are celebrated and supported to benefit our people, product, and community. Let us know why you're interested in this position and what unique contributions you can make to the Ladder team. We look forward to hearing from you.
Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria – unlike majority candidates meeting significantly fewer requirements. We strongly encourage you to apply if you’re interested: we'd love to know how you can elevate our team with your unique experience!
By clicking "Submit Application," you acknowledge that you have read and agree to the Ladder Job Applicant Privacy Policy and Notice at Collection.
Ready to apply?
Apply to Ladder
Overview of 66degrees
66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.
At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.
Overview of Role
We are seeking a highly strategic thinker and experienced Architect to lead the design and deployment of enterprise-grade Generative AI solutions. This individual will act as the primary technical architect for our clients, translating complex business objectives into scalable, secure, and resilient AI frameworks built on Gemini Enterprise.
The core of this role is architecting end-to-end AI solutions, from designing complex agentic workflows to establishing secure data grounding strategies. Success requires deep expertise in the full spectrum of the Gemini Enterprise platform, including its no-code workbench and the Agent Development Kit (ADK) for custom, code-full agents. This is a high-impact, client-facing role that defines the how and why of an organization's AI transformation.
Responsibilities
- Architect end-to-end, scalable, secure, and performant GenAI solutions using Gemini Enterprise. Design complex, multi-agent workflows, deciding between the no-code workbench and custom Agent Development Kit (ADK) systems for production tasks.
- Design the RAG-based data grounding architecture to securely connect Gemini Enterprise models to diverse, permission-aware enterprise data (e.g., BigQuery, Salesforce).
- Architect the security and governance framework, implementing data residency, access control, and agent monitoring via Gemini Enterprise's control planes.
- Serve as the lead technical advisor to C-level and IT leadership, defining the strategic value, ROI, and technical roadmap for Gemini Enterprise adoption.
- Facilitate client workshops (requirements, validation, UAT). Lead hands-on development of high-impact prototypes/MVPs to validate architecture and demonstrate business value.
- Create the technical integration strategy to embed Gemini across the client's technology stack (Google Workspace, core business applications).
- Produce high-quality architectural documents, design specs, and roadmaps for implementation teams.
- Stay current with industry trends and advanced AI/ML, including agentic frameworks.
- Act as a key resource and contributor, lending your expertise to adjacent projects, special initiatives, and strategic conversations that align with your core competencies.
- Collaborate with delivery, engineering, and sales to define scope, identify opportunities, and evolve the Gemini Enterprise offering.
Qualifications
- 6+ years of experience in Solutions Architecture, Cloud Architecture, or Senior Technical Consulting, with a proven focus on AI/ML or complex, large-scale enterprise platforms.
- Deep, hands-on architectural expertise with the Gemini / Gemini Enterprise. This must include designing gems, agentic workflows, implementing data grounding strategies, and configuring security/governance controls.
- Demonstrable ability to analyze complex business problems, think strategically, and translate high-level objectives into robust, scalable, and secure technical architectures.
- Strong architectural understanding of the Google Workspace environment (Admin, Security, APIs) as a key integration point and data source for GenAI.
- Expertise in Large Language Models (LLMs), RAG techniques, prompt engineering, and API-first integration patterns.
- Proficiency with cloud architecture (preferably Google Cloud), data platforms (e.g., BigQuery), and at least one relevant scripting language (e.g., Python).
- Exceptional communication and presentation skills, with the ability to articulate complex architectural concepts to diverse audiences, from executive stakeholders to technical engineers.
- Proven experience leading technical delivery and managing client expectations in a consulting environment.
- Strong analytical and problem-solving skills, with a track record of innovation and technical leadership.
- Bachelor's degree in Computer Science, Engineering, or a related technical/quantitative field.
- Google Cloud Professional Certifications (e.g., Professional Cloud Architect, Machine Learning Engineer, or Professional Collaboration Engineer).
66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.
AI Transparency & Disclosure
As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools—including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies—to assist with sourcing, role analysis, and capturing interview highlights.
These tools augment our process, but we "Commit to Our Craft" by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us "Win Together" in finding the best fit for our team.
Ready to apply?
Apply to 66degrees
Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
About the Ads Data Science Team:
The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods.
We work on a wide range of challenging problems in the areas of ads targeting, relevance modeling, auction optimization, measurement, and user experience. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.
About the Role:
We are looking for a highly motivated and experienced Data Scientist to join our growing Ads Data Science team. As a Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve our understanding of the dynamics that drive the success of our advertising platform, and identify opportunities to accelerate that success. You will work closely with stakeholders across product, engineering, sales, marketing, and data to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.
Responsibilities:
- Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
- Develop ML models & DS methods to for improved anomaly detection, prediction, pattern recognition
- Communicate findings and recommendations to stakeholders across the organization
- Collaborate with product, engineering, sales, and marketing partners to define product and program requirements and translate them into data science solutions
- Stay up-to-date on the latest advancements in machine learning and data science
Qualifications:
- Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
- For M.S. holders: 3+ years of industry experience in applied science or data science roles
- For Ph.D. holders: 2+ years of industry experience in applied science or data science roles
- Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
- Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
- Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
- Experience with SQL and relational databases
- Excellent communication and presentation skills
- Passion for Reddit and the online advertising industry
Bonus Points:
- Experience with online advertising and ad tech
- Experience with causal inference and A/B testing
- Contributions to open-source projects or publications in relevant conferences or journals
Benefits:
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Comprehensive Medical Benefits & Health Care Spending Account
- Registered Retirement Savings Plan with matching contributions
- Income Replacement Programs
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
#LI-Remote
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Ready to apply?
Apply to Reddit
[Location: remote-friendly or any office location - SF, LA, CHI, NY]
Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
About the Ads Data Science Team:
The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods.
We work on a wide range of challenging problems in the areas of ads targeting, relevance modeling, auction optimization, measurement, and user experience. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.
About the Role:
We are looking for a highly motivated and experienced Data Scientist to join our growing Ads Data Science team. As a Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve our understanding of the dynamics that drive the success of our advertising platform, and identify opportunities to accelerate that success. You will work closely with stakeholders across product, engineering, sales, marketing, and data to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.
Responsibilities:
- Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
- Develop ML models & DS methods to for improved anomaly detection, prediction, pattern recognition
- Communicate findings and recommendations to stakeholders across the organization
- Collaborate with product, engineering, sales, and marketing partners to define product and program requirements and translate them into data science solutions
- Stay up-to-date on the latest advancements in machine learning and data science
Qualifications:
- Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
- For M.S. holders: 3+ years of industry experience in applied science or data science roles
- For Ph.D. holders: 2+ years of industry experience in applied science or data science roles
- Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
- Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
- Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
- Experience with SQL and relational databases
- Excellent communication and presentation skills
- Passion for Reddit and the online advertising industry
Bonus Points:
- Experience with online advertising and ad tech
- Experience with causal inference and A/B testing
- Contributions to open-source projects or publications in relevant conferences or journals
Benefits:
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
#LI-Remote
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Ready to apply?
Apply to Reddit
Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
About the Ads Data Science Team:
The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods.
We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.
About the Role:
We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.
Responsibilities:
- Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform
- Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
- Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
- Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition
- Communicate findings and recommendations to stakeholders across the organization
- Stay up-to-date on the latest advancements in machine learning and data science
- Mentor and guide junior data scientists on the team
Qualifications:
- Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
- For M.S. holders: 5+ years of industry experience in applied science or data science roles
- For Ph.D. holders: 4+ years of industry experience in applied science or data science roles
- Platform experience and a deep understanding of the ads ecosystem
- Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
- Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
- Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
- Experience with SQL and relational databases
- Excellent communication and presentation skills
- Passion for Reddit and the online advertising industry
Bonus Points:
- Experience with online advertising and ad tech
- Experience with causal inference and A/B testing
- Contributions to open-source projects or publications in relevant conferences or journals
Benefits:
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Comprehensive Medical Benefits & Health Care Spending Account
- Registered Retirement Savings Plan with matching contributions
- Income Replacement Programs
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
#LI-Remote
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Ready to apply?
Apply to Reddit
Location: US remote-friendly
Reddit has a flexible first workforce. At Reddit we continue to grow our teams with the best talent. We're completely remote friendly and will continue to be after the pandemic.
Advertising is Reddit’s primary revenue driver and we have an ambitious goal to turn it into a massive business. Although several large digital ad platforms already exist, advertisers are being increasingly drawn to Reddit because of our passionate communities. We believe our community-centric platform has created the opportunity for Reddit to build a highly differentiated ads business.
About the Ads Data Science Team:
The Ads Data Science team at Reddit leverages data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods.
We work on a wide range of challenging problems in the areas of ads and platform measurement, campaign and creative management, advertiser growth and retention, monetization, and the intersection of brand and community engagement. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.
About the Role:
We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact for Reddit.
Responsibilities:
- Design, develop, and apply DS solutions to inform improvements in advertiser experience and Reddit's ad platform
- Analyze large-scale datasets to identify trends, patterns, and insights that can be used to improve the effectiveness of our advertising platform
- Collaborate with product managers and engineers to define product requirements and translate them into data science solutions
- Develop ML models & DS methods to improve anomaly detection, prediction, & pattern recognition
- Communicate findings and recommendations to stakeholders across the organization
- Stay up-to-date on the latest advancements in machine learning and data science
- Mentor and guide junior data scientists on the team
Qualifications:
- Advanced degree (Masters or Ph.D.) in a quantitative field such as: Statistics, Mathematics, Physics, Economics, or Operations Research
- For M.S. holders: 5+ years of industry experience in applied science or data science roles
- For Ph.D. holders: 4+ years of industry experience in applied science or data science roles
- Platform experience and a deep understanding of the ads ecosystem
- Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
- Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
- Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
- Experience with SQL and relational databases
- Excellent communication and presentation skills
- Passion for Reddit and the online advertising industry
Bonus Points:
- Experience with online advertising and ad tech
- Experience with causal inference and A/B testing
- Contributions to open-source projects or publications in relevant conferences or journals
Benefits:
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
#LI-Remote
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Ready to apply?
Apply to Reddit
Senior Data Engineer
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Consensys is the leading blockchain and web3 software company founded by Joe Lubin, CEO of Consensys and Co-Founder of Ethereum. Since 2014, Consensys has been at the forefront of innovation, pioneering technological developments within the web3 ecosystem.
Through our product suite, including the MetaMask platform, Infura, Linea, Diligence, and our NFT toolkit Phosphor, we have become the trusted collaborator for users, creators, and developers on their path to build and belong in the world they want to see.
Whether building a dapp, an NFT collection, a portfolio, or a better future, the instinct to build is universal. Consensys inspires and champions the builder instinct in everyone by making web3 universally easy to use and develop on.
Our mission is to unlock the collaborative power of communities by making the decentralized web universally easy to access, use, and build on.
You’ll get to work on the tools, infrastructure, and apps that scale these platforms to onboard one billion participants and 5 million developers. You’ll be constantly exposed to new concepts, ideas, and frameworks from your peers, and as you work on different projects — challenging you to stay at the top of your game. You’ll join a network of builders that reaches the edge of our ecosystem. Consensys alumni have moved on to become tech entrepreneurs, CEOs, and team leads at tech companies.
About the Data Team
The Data team sits within the Office of the COO and builds the infrastructure that powers analysis across the organisation. We design, run, and optimise pipelines that bring together product, marketing, and financial data at scale. Our role is to ensure data is reliable, accessible, and ready for use—helping Consensys move fast while maintaining quality and trust.
What you’ll do
- Design, build, and maintain robust data pipelines that integrate sources across the business.
- Collaborate closely with analysts, business stakeholders, and other engineering teams to gather requirements, align timelines, discuss architecture, and ensure successful delivery.
- Document data pipelines, best practices, and processes to support onboarding and knowledge sharing within the team.
- Develop and optimize data models to deliver trusted, structured, and business-ready data.
- Ensure data quality, security, and governance are embedded in all pipelines and systems.
- Orchestrate and monitor pipeline execution to ensure reliability and scalability.
- Deploy and manage infrastructure as code.
- Build and tune big data pipelines using SQL, Python, and distributed processing frameworks.
- Work with cloud data warehouses to enable insights and analytics.
- Maintain and update reporting solutions and user dashboards.
- Automate workflows and improve CI/CD pipelines to reduce manual processes.
Would be great if you brought this to the role
- Over 6 years of experience as a Data Engineer
- Use Trusted Execution Environments (TEEs) to securely process sensitive user data, ensuring it remains protected and only aggregated insights are released.
- Strong SQL skills and experience with cloud warehouses (e.g.: Snowflake, BigQuery, Redshift).
- Hands-on experience with transformation and orchestration tools (e.g.: dbt, Airflow, Dagster).
- Comfort with Python or other scripting languages for ETL and automation.
- Familiarity with data governance and metadata management (e.g.: DataHub).
- Experience deploying and managing infrastructure as code (e.g.: Terraform, Pulumi).
- Exposure to data integration and ingestion tools (e.g.: Airbyte, Segment).
- Experience with big data and distributed processing (e.g.: Apache Spark, AWS EMR, S3).
- Exposure to open source projects
- Experience maintaining and improving reporting solutions and dashboards (e.g.: Preset/Superset, Cube.dev).
- Familiarity with CI/CD practices and automation (e.g.: GitHub Actions).
- A collaborative mindset and eagerness to work with both technical and non-technical colleagues.
Don't meet all the requirements? Don't sweat it. We’re passionate about building a diverse team of humans and as such, if you think you've got what it takes for our chaotic-but-fun, remote-friendly, start-up environment—apply anyway, detailing your relevant transferable skills in your cover letter. While we have a pretty good idea of what we need, we're ready for you to challenge our thinking on who needs to be in this role.
It is a requirement of employment in this position that applicants will be required to submit to background checks including but not limited to employment, education and criminal record checks. Further details will be provided to applicants that successfully meet the criteria for the position as determined by the company in its sole discretion. By submitting an application for employment, you are acknowledging and consenting to this requirement.
The salary range for US-based candidates only will be determined throughout the interview process depending on experience and skills.
In the rapidly evolving Web3 space, we believe that everyone is a builder. This expansive paradigm requires a range of backgrounds, talents, skills, and experiences to influence and shape the future. At Consensys, this diversity fuels our ability to shift control and redefine the realm of possibility. We are committed to ensuring that our technology empowers people and communities with economic and political agency through decentralized technologies. We welcome the range of perspectives and differences and celebrate them. We're excited to see how your unique skills as a builder can contribute to our vision, drive innovation, and help us shape a more inclusive Web3.
Consensys is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. Consensys is aware of fraudulent recruitment practices and we encourage all applicants to review our best practices to protect yourself which can be found (https://consensys.io/careers/best-practices-to-avoid-recruitment-fraud/).
Ready to apply?
Apply to Consensys
Devops Engineer, Surveillance
A Career with Point72's Surveillance Team
Point72’s Surveillance team sets the industry standard for intelligence-driven surveillance by proactively identifying, monitoring, and assessing various sources of compliance risk using proprietary tools and specialized tradecraft. We support senior management by providing strategic assessments, actionable recommendations, and real-time escalations. At Point72, members of the Surveillance team conduct integrated trade and communication surveillance and collaborate to turn information into intelligence for our internal customers. The team also monitors employee activity for evidence of violations of applicable federal securities laws, internal compliance policies and procedures, and relevant rules and regulations enforced by the SEC, FINRA, and other organizations.
WHAT YOU'LL DO
- Lead the design and build of scalable data infrastructure and pipelines to power surveillance analytics, enabling rapid exploration and production deployment of signals and models
- Build and operate infrastructure as code to provision, secure, and manage cloud resources and platform services with an emphasis on repeatability and automation
- Design and maintain containerized platforms and orchestration layers to run analytics and machine learning workloads reliably and efficiently at scale
- Develop and maintain CI/CD pipelines and ML lifecycle automation to accelerate model development, validation, deployment, and rollback
- Implement and evolve observability, logging, and alerting across the stack to shorten time to detection and resolution for production incidents
- Automate security controls, access management, and compliance checks within platform tooling to support regulated surveillance workflows
- Collaborate closely with data scientists, analysts, and security teams to translate surveillance requirements into production-ready, maintainable systems
- Optimize cloud cost, performance, and operational practices for large-scale data processing, storage, and model training workloads
- Mentor engineers and contribute to platform best practices, documentation, and runbooks to drive continuous improvement and team impact
WHAT'S REQUIRED
- Bachelor's degree in computer science, engineering, or a related technical field, or equivalent professional experience
- 5+ years of hands-on experience in cloud infrastructure, DevOps, or platform engineering supporting production data or machine learning workloads
- Proven, hands-on experience with data warehouses and lakehouses such as Snowflake, Redshift, BigQuery, or Databricks
- Strong command of Infrastructure as Code with Terraform and Terraform Enterprise
- Proficiency in containerization with Docker or Podman, orchestration using Kubernetes, AWS EKS, or ECS Fargate, and implementation of GitOps principles and workflows
- Hands-on experience building CI/CD pipelines using GitHub Actions and automating model lifecycle using MLflow, Kubeflow, or Weights & Biases
- Experience operating observability and monitoring stacks including Datadog, AWS CloudWatch, and the Grafana ecosystem (Grafana, Loki, Prometheus)
- Extensive experience with AWS core services, including S3, EC2, Lambda, RDS, and EMR, and practical experience using Boto3 and AWS machine learning services such as SageMaker and Bedrock
- Strong scripting and programming skills in Python and Bash and proven experience operating Linux-based production systems
- Ability to work onsite in Stamford, CT and to communicate and troubleshoot effectively across cross-functional, distributed teams
- Commitment to the highest ethical standards
WE TAKE CARE OF OUR PEOPLE
We invest in our people, their careers, their health, and their well-being. When you work here, we provide:
- Fully-paid health care benefits
- Generous parental and family leave policies
- Volunteer opportunities
- Support for employee-led affinity groups representing women, people of color and the LGBT+ community
- Mental and physical wellness programs
- Tuition assistance
- A 401(k) savings program with an employer match and more
ABOUT POINT72
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry's brightest talent by cultivating an investor-led culture and committing to our people's long-term growth. For more information, visit https://point72.com/.
The annual base salary range for this role is $160,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.
Ready to apply?
Apply to Point72
Principal Detection and Response Engineer
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Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.
At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
About the role:
As a Principal Security Engineer on the Detection and Response (D&R) team at Roblox, you'll play a key role designing and developing effective custom security data pipeline systems, detection strategies and automations for response workflows to defend our critical assets from threat actors. You will also lead real-time incident response, actively investigate events and analyze threat actor techniques to prioritize emerging threats to ensure Roblox is equipped to mitigate and react to critical challenges. You will play a vital part to ensure the safety of our community and enterprise by proactively fostering a high-performing, inclusive security culture. This is a hybrid in-office role.
You Will:
- Be a D&R authority! You will deliver robust detection & response capabilities: build new threat detection systems (keeping false positives low) while also automating processes with scripts, playbooks and orchestration tooling.
- Implement ETL pipelines: Design and develop customized data processing pipelines.
- Conduct security operations: Actively monitor security events and participate in on-call rotations to lead real-time incident response to contain and mitigate potential security issues.
- Build positive relationships: Collaborate with internal teams like InfoSec, Engineering, Product and Safety to design scalable solutions.
- Help grow the D&R team: Guide and support junior engineer careers and contribute to hiring.
You Have:
- 8+ years of experience in Detection and/or Response: with a passion for security engineering, threat detection, threat hunting, and incident management.
- 4+ years of Security Data Engineering experience with streaming pipelines: You’ve built production grade ETL data processing pipelines end to end using Kafka / PubSub, Spark / Flink, Athena / BigQuery or similar.
- Software Development (SWE): Mastery building efficient, reliable, CI/CD deployed, scalable systems using programming languages like C, Golang or Java.
- Engineering experience with SIEM, EDR, NDR, and SOAR technologies: You have on-boarded logs in your sleep and built custom detections/automations for complex environments.
- Conducted incident response: Structured, mature incident response processes are your vocabulary to swiftly resolve security incidents. Afterwards, you use evidence and data to tell the story and ensure action items are meticulous and complete.
- Familiarity across multiple domains: Deep understanding of network protocols, operating systems, cloud environments, virtualized hosts, containers, in order to identify potential threats to each.
- Core security skills: Analytical thinking, crisis management, root cause analysis, and problem-solving, with a meticulous approach to identifying, investigating, and responding to incidents.
For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page.
Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.
For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.
Ready to apply?
Apply to Roblox
Expression of Interest: Machine Learning Engineer
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About Moloco:
Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.
Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.
Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
Expression of Interest
We know that for the most talented engineers, the right opportunity is about more than just a job title, it’s about the right challenge at the right time. Even if our current openings don't perfectly fit your timing and interests today, we still want to hear from you. We view this as a priority pathway to connect with curious, driven MLEs whose unique expertise can help us architect the next generation of planet-scale ML systems.
At Moloco, our mission is to empower the global digital economy by turning massive first-party data into measurable business outcomes. Whether it’s optimizing real-time bidding for Moloco Ads or building AI-native stacks for Streaming and Commerce, we’re looking for engineers to help us lead the shift toward a more performance-driven, AI-powered internet.
If you’re excited to scale and innovate in a fast-moving environment, share your profile and we will reach out the moment we see a potential match for your experiences and future goals.
About the Role
As a Machine Learning Engineer at Moloco, you will design, train, and deploy the large‑scale models that power our programmatic advertising and commerce media products. You will work at the heart of our real-time bidding and pricing systems, helping shape an end-to-end ML ecosystem that processes billions of daily events. Your work will directly improve marketplace performance for global advertisers and publishers by optimizing for relevance, ROI, and user experience at a scale few companies can match.
The Opportunity
- Architect and iterate on high-performance models that improve ad relevance, click-through rates, and conversion performance.
- Productionize and maintain scalable ML pipelines - from data ingestion to online inference - on top of planet-scale infrastructure.
- Extract insights from massive datasets of user behavior and auction signals to define new features and refine modeling strategies.
- Translate business goals (revenue, ROI, engagement) into concrete modeling challenges and success metrics in collaboration with Product and Data Science.
- Validate innovation through rigorous experimentation, including A/B tests, offline evaluations, and counterfactual analyses.
- Balance marketplace health by implementing models that harmonize advertiser value with a high-quality user experience.
- Enhance system reliability by refining feature stores, monitoring data quality, and establishing robust debugging practices.
- Drive platform evolution, contributing to ML tools and guidelines that increase experimentation velocity and deployment speed.
- Optimize for performance, partnering with Infra teams to reduce latency and improve throughput for low-cost, high-scale decisioning.
- Elevate technical excellence by sharing best practices in modeling and production ML with the broader engineering team.
Expertise We Value:
MLEs at Moloco are hands-on builders of some of the world’s highest-scale ML workloads. They bridge technical innovation with global revenue outcomes, owning the critical systems that define our next generation of machine learning and optimization platforms.
While every journey is unique, we find that the most successful MLEs at Moloco bring a deep technical foundation in the following areas:
- Production ML at Scale: 5-12+ years of experience delivering ML solutions in high-stakes production environments (e.g., Ads, Recommenders, Search, or Marketplaces), with a track record of scaling models for massive throughput and low-latency requirements.
- Algorithmic Mastery: A strong foundation in ML and statistics applied to real-world business challenges, with expertise in areas such as ranking, calibration, exploration-exploitation, causal inference, or multi‑objective optimization.
- Full-Lifecycle Engineering: Deep understanding of the end-to-end ML lifecycle, including data pipelining, feature engineering, model architecture, inference optimization, and the deployment of models into online systems.
- Technical Versatility: Proficiency across a modern ML toolkit (Python, SQL, and frameworks like TensorFlow or PyTorch) and experience leveraging data processing stacks like Spark, Beam, or Flink to deliver results at scale.
- Operational Stewardship: Experience ensuring the long-term health of ML systems in live environments—monitoring performance, diagnosing drift, and iterating based on real-world feedback to maintain measurable impact.
- Technical Mentorship: A passion for advancing the team’s collective bar by sharing best practices for large-scale ML systems and guiding the technical direction of complex machine learning initiatives.
Our Tech Stack:
- Languages: Python, Go, C++
- ML Frameworks: TensorFlow, PyTorch, JAX
- Infrastructure: GCP, AWS, Kubernetes, Spark, BigQuery, BigTable
How You Work:
- Your ethos is ownership
- You thrive in ambiguity and enjoy partnering with others to shape vague requirements into clear roadmaps with pragmatic tradeoffs.
- You take shared accountability for the end-to-end journey; communicating progress, surfacing risks early, and following through to ensure your work creates measurable value.
- You demonstrate strong judgment under uncertainty.
- You prioritize based on long-term impact, over short-term noise, making deliberate decisions when information is incomplete.
- You explicitly weigh tradeoffs like speed vs. quality and remain agile enough to adjust your approach thoughtfully as new information/data emerges.
- You lead through clarity and active listening.
- You reduce ambiguity for the team by asking the right questions upfront, tailor your communication to your audience, document your decisions, and bring helpful structure to complex discussions.
- You provide thoughtful, evidence-based feedback when needed and align behind decisions once they are made.
- You collaborate early, instead of solving in isolation.
- You build trust across the organization by listening first and navigate conflicting needs with empathy, creating buy-in around priorities and scope.
- You navigate technical tensions productively, disagreeing thoughtfully while maintaining momentum and strengthening professional relationships.
- You fall in love with the problem, not the solution
- You build for the long run, looking beyond immediate tasks to understand root causes, second-order effects, and the long-term health of our ML ecosystem.
- When something breaks, you don’t just patch it; you seek structural improvements that prevent recurrence and elevate the technical bar for the entire organization.
- You prioritize customer impact and take action to make it real.
- You prioritize effective solutions that drive business impact over technical elegance, spotting opportunities that others might overlook.
- You have the initiative to turn ideas into outcomes and the agency to identify and fix gaps, even when they aren’t yet on the formal roadmap.
You can apply for this role through our Open Positions page (or through our Internal Job Board if you are a current employee). We will review submissions on an ongoing basis.
Our Compensation And Benefits (for United States Residents Only)
In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package.
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
Moloco Values:
- Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
- Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
- Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
- Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.
Additional Resources:
AI Use in Interviews
Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.
Equal Opportunity:
Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.
Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.
Ready to apply?
Apply to Moloco
Senior Software Engineer - Applied Data
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About Moloco:
Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.
Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.
Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
About the Role
The Ads Applied Data team builds and scales the foundational data infrastructure that powers Moloco’s advertising platform. As a Senior Software Engineer, you will design, develop, and optimize distributed data systems for real-time and batch processing, ensuring reliable and low-latency delivery of data across the ads ecosystem. You’ll work closely with Product, ML, and Data Science teams to enable feature engineering, identity resolution, and advanced user signal enrichment across online and offline pipelines.
Responsibilities
- Design and build large-scale distributed systems for data ingestion (Petabyte-scale), transformation, and serving.
- Partner with ML and Serving teams to support feature engineering workflows, connecting offline data to serving systems.
- Contribute to the evolution of Feature Infra / Feature Store, ensuring scalability, discoverability, and consistency of feature data.
- Collaborate on Identity Graph construction to unify user and device identifiers for more effective signal enrichment and targeting.
- Improve system observability, resilience, and performance in high-throughput, low-latency environments.
- Mentor engineers and help define best practices for data and backend engineering.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, or equivalent technical field.
- 5+ years of software engineering experience with one or more modern languages (Java, Kotlin, Go, C++, C#, or Python).
- Proven experience designing and building large-scale distributed systems and backend services.
- Hands-on experience with data processing frameworks such as Apache Beam, Dataflow, or Spark, and orchestration tools like Airflow.
- Strong understanding of cloud infrastructure (GCP, AWS, or Azure) and data storage technologies (BigQuery, Bigtable, Redis, GCS, Kafka, Pub/Sub).
- Demonstrated experience delivering impactful projects through collaboration with cross-functional teams (Product, ML, Data Science).
Preferred Qualifications
- Experience with Feature Infra / Feature Store architecture and operations.
- Experience in Identity Graph design and construction to enhance user signal quality.
- Deep familiarity with AdTech or Machine Learning infrastructure domains.
- Experience working with Petabyte-scale data and high-availability systems.
Compensation & Benefits
U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan with company match, short-term and long-term disability coverage, basic life insurance, and well-being benefits and perks. U.S.-based employees also receive up to 12 scheduled paid holidays per calendar year and one Thrive Day off per quarter. Additionally, all employees have Flexible Time Off (FTO).
The successful candidate may be eligible for a bonus and equity awards. Eligibility and amounts are determined by performance and the terms of the applicable plans.
The location for this role is listed above. For base pay range purposes, location-based compensation is grouped into the following regions. Your region is determined by your assigned work location.
- Region A: Menlo Park Office, New York Office, SF Bay Area, New York Metro Area
- Region B: Seattle Office, Seattle, Los Angeles/Orange County, San Diego, Austin, Boston, Washington DC Metro Area, Miami
- Region C: All other U.S. locations
Salary Ranges:
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
Moloco Values:
- Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
- Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
- Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
- Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.
Additional Resources:
AI Use in Interviews
Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.
Equal Opportunity:
Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.
Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.
Ready to apply?
Apply to Moloco
Senior Full-Stack Software Engineer - Agentic Software - Moloco Commerce Media
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About Moloco:
Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.
Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.
Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
The Impact You’ll Be Contributing to Moloco:
- We're seeking a software engineer to help us design, develop and maintain the backend of our state of the art Moloco Commerce Media (MCM) product
- You will be responsible for developing an ML-based online advertising platform for the rapidly growing retail media industry
- You will play a pivotal role building and developing our enterprise-ready solution. We’ve determined clear market fit and are now seeking senior and staff engineers to refine the MCM product
- You will lead feature development, design, optimization, testing, and maintenance of software applications and solutions for internal and external end users
- You will mentor others on the team and have the opportunity to lead high-impact projects
The Opportunity:
- Design and ship agentic software that helps advertisers manage campaigns through natural language interfaces and intelligent automation
- Build customer-facing applications that combine LLM capabilities with robust backend systems—from conversational campaign creation to AI-assisted performance insights
- Own the full stack: React/TypeScript frontends, Go/Python/Java services, and the infrastructure that connects them
- Collaborate closely with PM, data science, and partner teams to shape product direction and turn ambiguous goals into shipped features
- Operate what you build: dashboards, alerts, runbooks, and a sustainable on-call rotation
- Mentor engineers through code reviews, pairing, and design discussions
- Prototype and explore what's next—advanced analytics, creative-level reporting, and AI capabilities we haven't imagined yet
How Do I Know if the Role is Right For Me?
- 5+ years of software engineering experience
- Full-stack development experience—you're comfortable across the frontend, backend, and the glue in between
- Hands-on experience building LLM-based applications (agents, tool use, prompt engineering, or similar)
- System design and development skills; from gathering requirements to design to implementation to production
- Experience in Cloud/Big Data platforms (e.g., AWS, GCE, GCP, Beam, Spark, BigTable, BigQuery etc.)
- Programming fundamentals, testing, and common algorithms and structures
- Track record of shipping customer-facing products
- Growth mindset—you stay current on emerging technologies and enjoy sharing knowledge with others
- Excellent communication and collaboration skills
Compensation & Benefits
U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan with company match, short-term and long-term disability coverage, basic life insurance, and well-being benefits and perks. U.S.-based employees also receive up to 12 scheduled paid holidays per calendar year and one Thrive Day off per quarter. Additionally, all employees have Flexible Time Off (FTO).
The successful candidate may be eligible for a bonus and equity awards. Eligibility and amounts are determined by performance and the terms of the applicable plans.
The location for this role is listed above. For base pay range purposes, location-based compensation is grouped into the following regions. Your region is determined by your assigned work location.
- Region A: Menlo Park Office, New York Office, SF Bay Area, New York Metro Area
- Region B: Seattle Office, Seattle, Los Angeles/Orange County, San Diego, Austin, Boston, Washington DC Metro Area, Miami
- Region C: All other U.S. locations
Salary Ranges:
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
Moloco Values:
- Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
- Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
- Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
- Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.
Additional Resources:
AI Use in Interviews
Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.
Equal Opportunity:
Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.
Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.
Ready to apply?
Apply to Moloco
Staff Software Engineer - Ad Serving - Moloco Commerce Media
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About Moloco:
Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.
Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.
Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
The Impact You’ll Be Contributing to Moloco:
Moloco Commerce Media (MCM) is growing its engineering team to support our expanding number of customers with engineering rigor and efficiency. We are looking for an experienced engineer, who can both lead complicated feature developments from end to end and can provide deep technological consultations both to customers and our business team members alike. Our systems will need to be supported at a global scale handling billions of ad auctions per day, while our cutting-edge machine learning (ML) delivers high performance for advertisers and quality experiences for retail shoppers. The Ad Serving team in MCM engineering is responsible for the foundational systems underlying this platform, closely collaborating with campaign management, data infrastructure, and customer integrations.
The Opportunity:
- Design, develop and operate an end-to-end enterprise platform that remains fast, reliable and secure at scale.
- Build and maintain APIs and features for ad serving, while shaping the technical roadmap for the future of the product.
- Provide technical leadership and guidance for both internal/external engineering teams and cross functional business teams.
- Directly engage with customers to identify gaps, translate real world needs into engineering solutions, and deliver outcomes including legacy platform migrations, data connectors, bespoke features, workflows and analytics.
- Contribute to the strategic vision of the platform, strongly influencing technical decisions and long-term architecture.
- Explore and prototype next generation features including those enabled by generative AI.
How Do I Know if the Role is Right For Me?
- 7+ years software development experience using one or more modern languages such as Java, C++, Go, and Python.
- 2+ years of leadership experience in delivering technical projects with a small (3+) team of engineers.
- Hands-on experience with large-scale distributed systems, from requirements gathering and design to implementation and production deployment.
- Experience in building platforms for digital advertising or e-commerce applications.
- Experience with cloud-based technologies (e.g., AWS, GCE, GCP, Beam, Spark, BigTable, BigQuery etc.)
- Experience working directly with customers having varying levels of technical knowledge, and translating their ambiguous requirements into actionable roadmaps and technical solutions.
- Excellent problem-solving skills and the ability to work independently in a fast-paced environment.
- Strong interpersonal and communication skills, with the ability to build and maintain cross-functional and customer relationships.
- Willingness to travel as needed (up to 15% travel).
- Communication proficiency, capable of elaborating engineering concepts and product features in detail even to non-technical audiences.
Compensation & Benefits
U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan with company match, short-term and long-term disability coverage, basic life insurance, and well-being benefits and perks. U.S.-based employees also receive up to 12 scheduled paid holidays per calendar year and one Thrive Day off per quarter. Additionally, all employees have Flexible Time Off (FTO).
The successful candidate may be eligible for a bonus and equity awards. Eligibility and amounts are determined by performance and the terms of the applicable plans.
The location for this role is listed above. For base pay range purposes, location-based compensation is grouped into the following regions. Your region is determined by your assigned work location.
- Region A: Menlo Park Office, New York Office, SF Bay Area, New York Metro Area
- Region B: Seattle Office, Seattle, Los Angeles/Orange County, San Diego, Austin, Boston, Washington DC Metro Area, Miami
- Region C: All other U.S. locations
Salary Ranges:
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
Moloco Values:
- Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
- Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
- Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
- Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.
Additional Resources:
AI Use in Interviews
Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.
Equal Opportunity:
Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.
Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.
Ready to apply?
Apply to Moloco
Senior Software Engineer - Moloco Commerce Media
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About Moloco:
Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.
Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.
Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!
The Impact You’ll Be Contributing to Moloco:
- We're seeking a software engineer to help us design, develop and maintain the backend of our state of the art Moloco Commerce Media (MCM) product
- You will be responsible for developing an ML-based online advertising platform for the rapidly growing retail media industry
- You will play a pivotal role building and developing our enterprise-ready solution. We’ve determined clear market fit and are now seeking senior and staff engineers to refine the MCM product
- You will lead feature development, design, optimization, testing, and maintenance of software applications and solutions for internal and external end users
- You will mentor others on the team and have the opportunity to lead high-impact projects
The Opportunity:
- Build and maintain core APIs for the ad campaign lifecycle in MCM: create, target, budget, bid, pace, pause, and approve.
- Deploy reporting and analytics APIs that provide answers to spend, performance, and attribution questions in near real-time and batch.
- Integrate billing and invoicing flows from start to finish: spend tracking, invoice generation, and multi-currency support.
- Design services that remain fast and reliable at scale.
- Collaborate with PM, data science, and partner teams to turn goals into clear milestones and documentation.
- Operate what you build: dashboards, alerts, runbooks, and an on-call rotation that is healthy and respectful.
- Mentor other engineers through code reviews, pairing, and technical design discussions.
- Explore and prototype next-generation features such as advanced ad performance analytics and creative-level reporting across millions of campaign items.
How Do I Know if the Role is Right For Me?
- 5+ years of software engineering experience using one or more modern languages such as Go, Java, Python
- Experience with enterprise SaaS applications
- Outstanding problem-solving skills and a passion for delivering high-quality, innovative solutions
- Interest and experience in platforms in the advertising or e-commerce domains
- Experience working with large-scale distributed systems
- System design and development skills; from gathering requirements to design to implementation to production
- Experience in Cloud/Big Data platforms (e.g., AWS, GCE, GCP, Beam, Spark, BigTable, BigQuery etc.)
- Programming fundamentals, testing, and common algorithms and structures
- Strong analytical troubleshooting skills
- Growth mindset, with a passion for staying updated on emerging technologies and industry trends, and a willingness to share knowledge and mentor others
- Excellent communication and collaboration skills
Compensation & Benefits
U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan with company match, short-term and long-term disability coverage, basic life insurance, and well-being benefits and perks. U.S.-based employees also receive up to 12 scheduled paid holidays per calendar year and one Thrive Day off per quarter. Additionally, all employees have Flexible Time Off (FTO).
The successful candidate may be eligible for a bonus and equity awards. Eligibility and amounts are determined by performance and the terms of the applicable plans.
The location for this role is listed above. For base pay range purposes, location-based compensation is grouped into the following regions. Your region is determined by your assigned work location.
- Region A: Menlo Park Office, New York Office, SF Bay Area, New York Metro Area
- Region B: Seattle Office, Seattle, Los Angeles/Orange County, San Diego, Austin, Boston, Washington DC Metro Area, Miami
- Region C: All other U.S. locations
Salary Ranges:
Moloco Thrive: Benefits and Well-Being:
We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.
Moloco Values:
- Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
- Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
- Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
- Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.
Additional Resources:
AI Use in Interviews
Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.
Equal Opportunity:
Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.
Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.
Ready to apply?
Apply to Moloco
We're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.
Overview
Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.
Finance data engineering is part of the Data Infrastructure team, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. The team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart's products.
The team is still small and many of our bigger initiatives are at an early stage. We expect you to work closely with stakeholders and shape these systems from design, technical decisions, project management to execution. Your input will be critical for driving the Finance Data Strategy and building the platform that Instacart's financial data infrastructure will be built upon.
About the Job
- You will work closely with finance, accounting, billing, and revenue teams to understand their main pain points and translate them into self-serve, reliable, and scalable data solutions.
- You are expected to mentor other team members and be a champion of engineering excellence across the organization.
- You will be part of a small team with a large amount of ownership and autonomy, managing initiatives directly from design through execution.
- You will have the freedom to suggest and drive organization-wide initiatives that shape the financial data vision and roadmap.
- You will own critical data integration pipelines and models, ensuring uniform, reliable, timely, and accurate financial reporting.
About You
Minimum Qualifications
- 8+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines (specialized in financial data).
- Strong knowledge of cloud based warehouses like Snowflake, Redshift, BigQuery.
- Strong knowledge of common data infra technologies (Python, Airflow, Spark, Iceberg, Delta Lake) in a production environment.
- Expert in data modeling with experience in modeling complex financial data with scalability and usability in mind.
- Expert with SQL and dbt (Data Build Tool).
- Experience building high quality and complex ETL/ELT pipelines including pipelines for accounting/billing purposes.
- Experience with data immutability, auditability, slowly changing dimensions or similar concepts.
- Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
- An ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
- Experience working with a large codebase on a cross functional team.
Preferred Qualifications
- Bachelor's degree in Computer Science, computer engineering, electrical engineering or equivalent work experience.
- Experience with Snowflake, dbt (Data Build Tool) and Airflow.
- Experience with SOX controlled data systems.
#LI-Remote
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For US based candidates, the base pay ranges for a successful candidate are listed below.
Ready to apply?
Apply to Instacart
Senior Data Engineer II, Finance
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We're transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.
Overview
Our backend systems power the clients used by millions of customers every year to buy their groceries online. These systems must also support tight integration with the largest retailers in the US and Canada. Engineering at Instacart provides the opportunity to work on challenging scaling problems while also designing the features that will define our industry. You will learn how to build in an open collaborative environment serving millions of requests daily.
Finance data engineering is part of the Data Infrastructure team, working closely with accounting, billing & revenue teams to support the monthly/quarterly book close, retailer invoicing and internal/external financial reporting. The team plays a critical role in defining how financial data is modeled and standardized for uniform, reliable, timely and accurate reporting. This is a high impact, high visibility role owning critical data integration pipelines and models across all of Instacart's products.
The team is still small and many of our bigger initiatives are at an early stage. We expect you to work closely with stakeholders and shape these systems from design, technical decisions, project management to execution. Your input will be critical for driving the Finance Data Strategy and building the platform that Instacart's financial data infrastructure will be built upon.
About the Job
- You will work closely with finance, accounting, billing, and revenue teams to understand their main pain points and translate them into self-serve, reliable, and scalable data solutions.
- You are expected to mentor other team members and be a champion of engineering excellence across the organization.
- You will be part of a small team with a large amount of ownership and autonomy, managing initiatives directly from design through execution.
- You will have the freedom to suggest and drive organization-wide initiatives that shape the financial data vision and roadmap.
- You will own critical data integration pipelines and models, ensuring uniform, reliable, timely, and accurate financial reporting.
About You
Minimum Qualifications
- 8+ years of working experience in a Data/Software Engineering role, with a focus on building data pipelines (specialized in financial data).
- Strong knowledge of cloud based warehouses like Snowflake, Redshift, BigQuery.
- Strong knowledge of common data infra technologies (Python, Airflow, Spark, Iceberg, Delta Lake) in a production environment.
- Expert in data modeling with experience in modeling complex financial data with scalability and usability in mind.
- Expert with SQL and dbt (Data Build Tool).
- Experience building high quality and complex ETL/ELT pipelines including pipelines for accounting/billing purposes.
- Experience with data immutability, auditability, slowly changing dimensions or similar concepts.
- Adept at fluently communicating with many cross-functional stakeholders to drive requirements and design shared datasets.
- An ability to balance a sense of urgency with shipping high quality and pragmatic solutions.
- Experience working with a large codebase on a cross functional team.
Preferred Qualifications
- Bachelor's degree in Computer Science, computer engineering, electrical engineering or equivalent work experience.
- Experience with Snowflake, dbt (Data Build Tool) and Airflow.
- Experience with SOX controlled data systems.
#LI-Remote
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For Canadian based candidates, the base pay ranges for a successful candidate are listed below.
Ready to apply?
Apply to Instacart
Sr. Business Intelligence Analyst
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WHAT YOU’LL DO
The Sr. Business Intelligence Analyst is responsible for designing and delivering intelligent analytics systems that combine traditional BI with AI-driven capabilities to enable faster, more autonomous decision making across Viant’s operations. This role goes beyond dashboards and reporting to focus on building scalable data products, AI-powered insights, and conversational analytics experiences.
You will build and evolve reporting frameworks, data products, and AI-enabled analytics solutions that improve how both internal stakeholders and clients access and act on data. This includes supporting bespoke client data needs while identifying opportunities to standardize and scale solutions through reusable models, automation, and AI-driven workflows.
THE DAY-TO-DAY
- Partner with stakeholders to translate business questions into scalable data products, AI-assisted workflows, and decision systems
- Design and implement AI-powered analytics solutions, including “chat with data” agents, automated insight generation, and anomaly detection
- Build and maintain automated reporting while continuously evolving it toward self-service and AI-driven insight delivery
- Develop and enhance semantic layers, metrics definitions, and data models that power both dashboards and AI systems
- Enable self-service through a combination of dashboards, natural language interfaces, and intelligent agents that reduce dependency on manual analysis
- Apply AI to accelerate analysis, identify patterns, and proactively surface insights rather than reactively reporting on them
- Ensure data quality, governance, and consistency across both traditional BI outputs and AI-driven systems
- Provide strategic recommendations by combining quantitative analysis with AI-augmented exploration of trends and performance drivers
- Identify opportunities to automate recurring workflows using AI, reducing manual effort and increasing scalability
- Continuously evaluate and adopt emerging AI tools and techniques to improve analytics capabilities and user experience
GREAT TO HAVE
- Bachelor’s degree in Business Administration, Information Systems, Computer Science, Data Science, Statistics, Economics, or a related field, or equivalent practical experience. Emphasis on applying data, systems thinking, and emerging AI capabilities to real-world business problems
- Advanced SQL expertise (BigQuery strongly preferred), including building data models that support both BI and AI use cases
- 4-7+ years of experience in BI, analytics, or data roles, with increasing ownership of end-to-end solutions
- Experience working with AI/ML tools, LLMs, or building data applications that incorporate natural language interfaces
- Familiarity with Databricks or similar cloud-based data and AI platforms
- Experience in digital advertising, programmatic media, or marketing analytics environments
- Strong understanding of semantic layers, metrics standardization, and data modeling best practices
- Ability to translate complex data concepts into intuitive, user-friendly experiences, including AI-driven interfaces
- Excellent communication skills with the ability to frame insights in a decision-oriented, business-first way
- Strong problem-solving skills with a focus on automation, scalability, and system design
- Comfort operating in a fast-paced environment with evolving tools, priorities, and technologies
WHO WE ARE
Viant® (NASDAQ: DSP) is a leading advertising software company that enables marketers to plan, execute and measure omnichannel ad campaigns through a cloud-based platform. Viant’s self-service Demand Side Platform, Viant DSP, powers programmatic advertising across Connected TV, Linear TV, mobile, desktop, audio, gaming and digital out-of-home channels. In 2022, Viant was recognized as a Leader in the DSP category, earned Great Place to Work® certification and Co-Founders Tim and Chris Vanderhook were named EY Entrepreneurs of the Year. To learn more, please visit viantinc.com.
LIFE AT VIANT
Investing in our employee’s professional growth is important to us, but so is investing in their well-being. That’s why Viant was voted one of the best places to work and some of our favorite employee benefits include fully paid health insurance, paid parental leave and unlimited PTO and more.
Viant Technology (NASDAQ: DSP) is an exclusively buy-side, AI-powered advertising platform purpose-built for CTV. Viant uniquely combines proprietary content intelligence, household-level identity resolution, and person-level attention signals to connect advertisers with real customers and drive measurable outcomes across the open internet. Through its award-winning AI solutions, Viant is building the future of autonomous advertising, where AI doesn't just assist the campaign, it delivers real results. Learn more at viantinc.com.
Ready to apply?
Apply to Viant Technology
Location:
This role is completely remote-friendly. If you happen to live close to one of our physical office locations, our doors are open for you to come into the office as often as you'd like.
Team Description:
The Search & Recommendation Relevance team focuses on delivering the most relevant results when users search for anything on Reddit. Our systems and algorithms operate on the world's largest corpus of human conversation, showcasing the best answers and diverse opinions from all across Reddit on any topics - whether it's recommendations for the best hiking trail, travel advice, or reviews of the next product or restaurant. To achieve this, our Search Recommendation systems need to be built for maintainability, scalability, and low latency in mind.
Responsibilities:
- Own pipelines and DAGs that move data, features, embeddings, and models through the ML lifecycle
- Design/maintain ranking and retrieval services that run models in real-time
- Build scalable model-serving APIs, ensuring reliability, efficiency, and performance
- Create reusable infrastructure that other MLEs depend on to train, deploy, and iterate on models
- Ensure pipelines and systems support high scale, low latency, and operational excellence
- Enable modeling with better systems, features, and deployment pathways
Qualifications:
- 8+ years of industry experience with a focus on search and recommendation systems.
- 6+ years of experience in designing, building and iterating large-scale search relevance and infrastructure systems, handling end-to-end system development.
- Proven track record in delivering large and complex systems with big business impacts.
- Knowledge and experience working with search systems (e.g. Lucene, Solr, ElasticSearch, Opensearch etc.).
- Demonstrated expertise at cross-functional collaboration - successfully shipped several large-scale projects with complex dependencies across teams.
- Proficient in object-oriented programming (Python, Golang).
- Experience in API design and integration with GraphQL, REST, HTTP, Thrift or gRPC.
- Experience of developing applications using large-scale data stack - e.g. Kubeflow, Airflow, BigQuery, Kafka, Kubernetes, Redis etc.
Benefits:
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
#LI-DB1 #LI-Remote
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Ready to apply?
Apply to Reddit
The Home Experience team is responsible for one of the highest traffic pages on the platform: the Home feed on the Reddit apps and website. Home is both a destination and entrypoint for almost all Reddit journeys, and we know a smooth, intuitive, and delightful experience is critical to Reddit’s success and appeal. You’ll be working with the immense scale of hundreds of millions of users to help them explore Reddit and provide them with excellent feeds.
This role can be remote within the United States, Canada, or Europe, or can be a hybrid model if near an office. Offices are located in San Francisco, Los Angeles, Chicago, New York City, Toronto, London, Amsterdam, Madrid and Berlin.
What You’ll Do:
- Be the technical lead for a high-caliber, inclusive team of engineers across the organization.
- Work cross-functionally, collaborate and partner with product, design, and other engineering counterparts to design and build novel products and features that our users will love.
- Work alongside a team of thoughtful, fast-moving, and motivated engineers. Drive step-function improvements in developer workflows, implement best practices, and mentor engineers across the organization..
- Participate in the full development cycle: design, development, test, experimentation, analysis, and launch. You’ll be writing and reviewing code and design docs, giving feedback on product specs and mocks, and ensuring successful delivery of key projects.
- You will be a main driver in the planning, development, and implementation across Reddit’s Android architecture in conjunction with numerous partner teams, identifying and delivering on major opportunities.
- Enable a culture of metrics led execution, with a focus on operational excellence and system observability.
- Partner cross-functionally and with senior leadership on our strategic roadmap, driving engineering and product bets that will bring Home to the next level.
Who You Might Be:
- 8+ years of experience as a software engineer developing user-facing applications
- Fluency working with product metrics, designing and analyzing experiments with exposure to tools like BigQuery, HEX, Firebase, etc.
- Software development experience in Kotlin for Android, familiarity with GraphQL.
- Experience leveraging GenAI tools to increase software engineering productivity.
- Experience working with ML engineering teams and integrating ML solutions is a plus.
- Strong organizational skills, the ability to prioritize tasks and keep projects on schedule for the team.
- BS degree in Computer Science, similar technical field of study, or equivalent practical experience.
- Strong focus on user experience and usability. You are an undying advocate for the user, and you have a deep intuition for how people think and how they interact with software. Experience with social is a huge plus.
- Entrepreneurial spirit. You must be self-directed, innovative, and biased towards action. You live to build new things and thrive in ambiguity.
- Excellent communication skills. You must be able to collaborate with teams in a fully remote environment, and discuss complex topics with technical and non-technical audiences.
Benefits:
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Ready to apply?
Apply to Reddit
About the Team
As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.
Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.
Why This Role
Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.
If you want to define what analytics looks like in an AI-first company, this is it.
What You'll Do
Build Proactive Intelligence Systems
-
Design and deploy AI agents that monitor business performance and surface actionable insights without being asked
-
Architect systems that shift analytics from "answering questions" to "anticipating needs"
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Create intelligent alerting that distinguishes signal from noise and recommends specific actions
Create AI-Powered Analytics Tools
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Develop natural language interfaces that let business leaders query data conversationally
-
Build semantic layers that translate business concepts into data structures optimized for LLM reasoning
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Ship internal tools that transform how Opendoor makes decisions at every level
Own the Analytics-to-Action Pipeline
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Design data models that support automated analysis, pattern detection, and AI agent interactions
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Build workflows that connect insight generation to recommended actions
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Establish feedback loops that make our AI systems smarter over time
Drive Leverage Across the Business
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Identify high-value opportunities where AI can augment human decision-making
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Implement end-to-end solutions using Claude, custom agents, and modern AI tooling
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Measure impact rigorously—we care about decisions influenced, not dashboards built
We're Looking for Teammates Who Have
Technical Foundation
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5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership
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Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption
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Strong Python proficiency for data engineering, automation, and AI agent development
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Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)
AI & Automation Expertise
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Hands-on experience building and deploying AI agents or LLM-powered applications in production
-
Deep understanding of LLM capabilities, limitations, and prompt engineering best practices
-
Experience architecting semantic layers or natural language interfaces for data access
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Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions
Analytics & Business Acumen
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Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions
-
Strong analytical intuition—you know what questions matter before they're asked
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Experience translating ambiguous, cross-functional business problems into technical solutions
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History of operating autonomously and setting direction, not just executing on defined projects
Leadership & Influence
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Experience mentoring other analysts or engineers, formally or informally
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Demonstrated ability to influence senior stakeholders and drive alignment across teams
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Comfort operating in ambiguity and shaping strategy, not just responding to it
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Track record of building systems and processes that scale beyond yourself
Builder Mindset
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You ship products, not just dashboards
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You'd rather build something useful in a week than something perfect in a quarter
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You measure success by business impact, not technical complexity
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You're energized by creating leverage—building once so others benefit forever
Bonus Points If You Have
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Experience in real estate, fintech, or marketplace businesses
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Background in marketing analytics, sales operations, product analytics, or pricing/economics
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History of building tools or platforms that replaced recurring analyst work
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Experience leading technical projects or small teams
Ready to apply?
Apply to Opendoor
Data Engineer, Infrastructure FinOps
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Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE TEAM
Anduril’s Infrastructure Engineering organization provides the digital foundations for all aspects of our business. We are
evolving into a more data-driven approach for designing, building, and managing the critical infrastructure that ingests, transforms, and serves massive datasets to power analytics, machine learning, and intelligent applications.
ABOUT THE JOB
We are seeking a highly skilled Data Engineer with a strong software engineering foundation to help build and scale our next-generation data platform. This is a high-impact role where you will have the autonomy to architect robust systems that unlock critical business insights from complex, large-scale data
WHAT YOU’LL DO
Design and Build Scalable Data Pipelines: Architect, develop, and maintain robust and efficient ETL/ELT pipelines to
process petabyte-scale data from a wide variety of sources using platforms like Google BigQuery , Databricks, and
Palantir Foundry .
Apply Software Engineering Principles: Treat data infrastructure as a software product. Develop reusable
frameworks, libraries, and tools to accelerate data pipeline development and ensure reliability , using best practices like
version control, code reviews, and CI/CD.
Architect and Model Data: Design and implement well-structured, performant data models and schemas in our data
warehouse and data lakehouse environments, optimized for both analytical querying and application use.
Ensure Data Quality and Reliability: Implement comprehensive data quality checks, monitoring, and alerting to
proactively identify and resolve data issues. Troubleshoot and optimize performance bottlenecks in data processing and
storage layers.
Be a Force Multiplier: Collaborate closely with data scientists, analysts, software engineers, and business stakeholders
REQUIRED QUALIFICATIONS
- 5+ years of experience in a data engineering or a similar software engineering role, ideally building data products in a fast-paced environment.
- Strong programming proficiency in Python.
- Hands-on expertise with at least one major cloud data platform such as Google BigQuery, Databricks, or an enterprise data system like Palantir Foundry.
- Expert-level SQL and query optimization skills on large-scale datasets.
- Solid understanding of data modeling concepts, ETL/ELT design patterns, and data warehousing/lakehouse principles.
- Experience with a major cloud environment (GCP, AWS, Azure), including its security ecosystem and containerization technologies (Docker, Kubernetes).
- Must be eligible to obtain and maintain a US Top Secret security clearance.
PREFERRED QUALIFICATIONS
- Hands-on experience with data orchestration and transformation tools like Spark, PySpark, and dbt.
- Experience with Infrastructure as Code (e.g., Terraform, CloudFormation) for managing data resources.
- Knowledge of real-time data streaming technologies (e.g., Kafka, Flink, Pub/Sub).
- Experience implementing CI/CD pipelines for data applications (e.g., GitHub Actions, Jenkins).
- Experience with or a strong interest in learning how to develop data services and data products using modern software architecture and API design principles.
- Familiarity with data visualization tools, such as Tableau
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
-
No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
- Please always verify communications:
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
@anduril.comaddress. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
-
Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
-
What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.
Data Privacy
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Ready to apply?
Apply to Anduril Industries
Software Engineer, Data Engineering
Share this job
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
ABOUT THE TEAM
Anduril Maritime delivers platforms, systems, and integrated effects in the maritime domain. Our autonomous vehicles (sub-surface and surface) are the cornerstone of these capabilities, and we continually strive to push the boundaries of the possible in terms of endurance, autonomy and mission capability. The Maritime team develops and maintains core products and payloads, and adapts and applies those products to serve a wide variety of defense, IC and commercial customers in US and international markets.
ABOUT THE JOB
As a Software Engineer, Data Engineering on the Maritime Digital Production team, you will build the high-throughput data systems that connect design, manufacturing, and operations into a unified digital thread. You’ll design and implement scalable data architectures that move and transform massive datasets efficiently, supporting everything from geometry access to live production analytics.
In this role, you’ll develop high-performance data access layers and scalable databases, integrate information from systems such as PLM, ERP, and MES, and ensure seamless, reliable data flow across the enterprise. You’ll continuously monitor and optimize performance to meet the demands of real-time, high-speed data operations, and maintain strong documentation to keep the system transparent and auditable.
You’ll work closely with software engineers, data scientists, and manufacturing technologists across Anduril in a high-tech, fast-paced culture of innovation. If you’re driven to build data systems that are fast, resilient, and deeply connected to real-world production, you’ll be helping build the future of digital shipbuilding and the next generation of maritime vehicles.
WHAT YOU'LL DO
- Design and Implement Data Access Layers: Develop high-performance data access layers to handle massive datasets, ensuring quick and efficient data retrieval and processing.
- Database Design and Management: Design, implement, and maintain scalable databases suitable for high-speed, high-throughput data operations.
- Data Integration: Integrate data from various business systems including PLM, ERP, and MES, ensuring seamless and efficient data flow.
- Performance Optimization: Monitor and optimize the performance of data access layers and databases to meet the demands of large-scale, real-time data processing.
- Collaborate with Cross-Functional Teams: Work closely with software engineers, data scientists, and other stakeholders to ensure the data architecture supports various applications and analytical needs.
- Maintain Documentation: Write and maintain comprehensive documentation for data access layers, databases, and data integration processes.
REQUIRED QUALIFICATIONS
- Proficiency in database management systems (e.g., SQL, NoSQL databases like MongoDB, Cassandra).
- Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery).
- Strong understanding of data architecture principles and best practices.
- Proficiency in programming languages used for data engineering (e.g., Python, Java, Scala).
- Experience with big data technologies (e.g., Hadoop, Spark).
- Familiarity with cloud platforms and services (e.g., AWS, Azure, GCP).
- Strong problem-solving skills and ability to handle large volumes of data.
- Excellent collaboration and communication abilities.
- Eligible to obtain and maintain an active U.S. Secret security clearance.
PREFERRED QUALIFICATIONS
- Previous experience in a manufacturing or industrial setting.
- Experience with real-time data processing and stream processing technologies (e.g., Kafka, Flink).
- Knowledge of data governance and data quality management practices.
- Familiarity with containerization (Docker) and orchestration (Kubernetes).
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including:
Benefits
At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits.
Protecting Yourself from Recruitment Scams
Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.
To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:
-
No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.
- Please always verify communications:
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
@anduril.comaddress. - Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.
- Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an
-
Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.
-
What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.
Data Privacy
To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/.
By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.
Ready to apply?
Apply to Anduril Industries
Commercial Account Executive
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About ClickHouse
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.
The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.
We’re on a mission to transform how companies use data. Come be a part of our journey!
The Role
Our commercial segment — companies with up to 250 employees — is predominantly developer- and engineer-led. These buyers don't respond to decks and discovery scripts. They respond to someone who speaks their language, understands their architecture, and can help them think through a real problem. That's who we're hiring.
As a Commercial Account Executive at ClickHouse, you'll own the full sales cycle for inbound, product-led, and self-serve accounts in this segment. You'll engage with data engineers, platform teams, and technical founders at the moment they're evaluating ClickHouse for a real use case — and your job is to help them succeed, faster. The best deals in this segment don't feel like sales. They feel like an engineering consultation that ends in a contract.
Our commercial customers include companies like Circle, Flashbots, Blockworks, Cypress.io, Kit, Whop, Coframe, Shaped, and janitorai — developer-first products that chose ClickHouse because they needed something that could handle billions of events without slowing down their users. The best deals in this segment don't feel like sales. They feel like an engineering consultation that ends in a contract.
This is a role for technically strong people who are ready to own a number. Prior closing experience is not required — but technical credibility is non-negotiable.
What You Will Be Doing
- Own the full sales cycle from inbound lead to close for accounts in the sub-250 employee segment, with a focus on speed, technical depth, and conversion quality.
- Engage directly with data engineers, platform architects, and technical founders to understand their use cases, data volumes, query patterns, and infrastructure requirements — and map those to ClickHouse capabilities.
- Troubleshoot schema design questions, ingestion patterns, and integration challenges during the evaluation process; serve as a trusted technical advisor rather than a traditional sales rep.
- Identify expansion opportunities within the existing self-serve and product-led customer base; convert usage signals into meaningful commercial relationships.
- Partner with Solutions Engineers on more complex evaluations, and advocate for customer needs internally with Product and Engineering.
- Maintain rigorous pipeline hygiene — documenting technical context, decision criteria, stakeholders, and next steps in Salesforce so nothing falls through the cracks.
- Contribute to playbooks, technical objection handling guides, and onboarding materials that help the team scale what's working.
- Participate in developer community events, technical meetups, and online forums where our users naturally gather.
What You Bring
- A technical foundation that earns respect in engineering conversations — built through experience as a data engineer, solutions engineer/architect, software engineer, or similar role.
- Comfort with the modern data stack: columnar databases, streaming ingestion (Kafka, Kinesis), cloud infrastructure, and SQL-heavy analytics workflows. Hands-on experience with ClickHouse, DuckDB, Druid, Pinot, BigQuery, Snowflake, or similar is a strong plus.
- Some customer-facing experience — whether in pre-sales, technical account management, solutions engineering, or a customer-success capacity. You've navigated technical conversations with real stakes before.
- An instinct for moving quickly. This segment runs on short cycles. You know how to drive urgency without being pushy, and how to remove technical blockers that stall deals.
- Strong written and verbal communication. You can simplify complex concepts without dumbing them down, and you write clearly enough that your emails actually get responses from engineers.
- Curiosity about the business side of technology. You're interested in understanding why companies buy, not just what they're building.
- Ownership mentality. You're comfortable operating with autonomy, making judgment calls without a playbook, and learning from what doesn't work.
Why This Role Is Different
Most AE roles are execution roles. This one is a craft role. You'll build deep product knowledge, learn how high-growth companies architect for scale, and develop commercial skills in an environment where your technical instincts are your biggest competitive advantage. For the right person, this is a rare opportunity to bridge two worlds — and get paid competitively to do it.
Compensation
For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.
These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.
An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.
If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.
Perks
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A $500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
Culture - We All Shape It
As part of a rapidly scaling start up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.
Equal Opportunity & Privacy
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here for our Privacy Statement.
Ready to apply?
Apply to ClickHouse
Senior Data Engineer
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About Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.
All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.
AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.
The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.
We're looking for a Senior Data Engineer who can take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.
Preferred Qualifications
- 8-10+ years of industry experience in data engineering building scalable data pipelines and data products
- Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
- Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.
- Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.
- Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.
- Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems
- Familiarity with monitoring, alerting, and incident response for production-grade data pipelines
- Proven ability to optimize performance and cost across data workflows and storage systems
- Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks
- Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.
- Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership
Compensation Details
Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale.
Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.
When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.
Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.
Ready to apply?
Apply to Gusto, Inc.
Commercial Account Executive
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About ClickHouse
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.
The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.
We’re on a mission to transform how companies use data. Come be a part of our journey!
The Role
Our commercial segment — companies with up to 250 employees — is predominantly developer- and engineer-led. These buyers don't respond to decks and discovery scripts. They respond to someone who speaks their language, understands their architecture, and can help them think through a real problem. That's who we're hiring.
As a Commercial Account Executive at ClickHouse, you'll own the full sales cycle for inbound, product-led, and self-serve accounts in this segment. You'll engage with data engineers, platform teams, and technical founders at the moment they're evaluating ClickHouse for a real use case — and your job is to help them succeed, faster. The best deals in this segment don't feel like sales. They feel like an engineering consultation that ends in a contract.
Our commercial customers include companies like Circle, Flashbots, Blockworks, Cypress.io, Kit, Whop, Coframe, Shaped, and janitorai — developer-first products that chose ClickHouse because they needed something that could handle billions of events without slowing down their users. The best deals in this segment don't feel like sales. They feel like an engineering consultation that ends in a contract.
This is a role for technically strong people who are ready to own a number. Prior closing experience is not required — but technical credibility is non-negotiable.
What You Will Be Doing
- Own the full sales cycle from inbound lead to close for accounts in the sub-250 employee segment, with a focus on speed, technical depth, and conversion quality.
- Engage directly with data engineers, platform architects, and technical founders to understand their use cases, data volumes, query patterns, and infrastructure requirements — and map those to ClickHouse capabilities.
- Troubleshoot schema design questions, ingestion patterns, and integration challenges during the evaluation process; serve as a trusted technical advisor rather than a traditional sales rep.
- Identify expansion opportunities within the existing self-serve and product-led customer base; convert usage signals into meaningful commercial relationships.
- Partner with Solutions Engineers on more complex evaluations, and advocate for customer needs internally with Product and Engineering.
- Maintain rigorous pipeline hygiene — documenting technical context, decision criteria, stakeholders, and next steps in Salesforce so nothing falls through the cracks.
- Contribute to playbooks, technical objection handling guides, and onboarding materials that help the team scale what's working.
- Participate in developer community events, technical meetups, and online forums where our users naturally gather.
What You Bring
- A technical foundation that earns respect in engineering conversations — built through experience as a data engineer, solutions engineer/architect, software engineer, or similar role.
- Comfort with the modern data stack: columnar databases, streaming ingestion (Kafka, Kinesis), cloud infrastructure, and SQL-heavy analytics workflows. Hands-on experience with ClickHouse, DuckDB, Druid, Pinot, BigQuery, Snowflake, or similar is a strong plus.
- Some customer-facing experience — whether in pre-sales, technical account management, solutions engineering, or a customer-success capacity. You've navigated technical conversations with real stakes before.
- An instinct for moving quickly. This segment runs on short cycles. You know how to drive urgency without being pushy, and how to remove technical blockers that stall deals.
- Strong written and verbal communication. You can simplify complex concepts without dumbing them down, and you write clearly enough that your emails actually get responses from engineers.
- Curiosity about the business side of technology. You're interested in understanding why companies buy, not just what they're building.
- Ownership mentality. You're comfortable operating with autonomy, making judgment calls without a playbook, and learning from what doesn't work.
Why This Role Is Different
Most AE roles are execution roles. This one is a craft role. You'll build deep product knowledge, learn how high-growth companies architect for scale, and develop commercial skills in an environment where your technical instincts are your biggest competitive advantage. For the right person, this is a rare opportunity to bridge two worlds — and get paid competitively to do it.
Compensation
For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.
These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.
An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.
If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.
Perks
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A $500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
Culture - We All Shape It
As part of a rapidly scaling start up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.
Equal Opportunity & Privacy
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here for our Privacy Statement.
Ready to apply?
Apply to ClickHouse
Commercial Account Executive
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About ClickHouse
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.
The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.
We’re on a mission to transform how companies use data. Come be a part of our journey!
The Role
Our commercial segment — companies with up to 250 employees — is predominantly developer- and engineer-led. These buyers don't respond to decks and discovery scripts. They respond to someone who speaks their language, understands their architecture, and can help them think through a real problem. That's who we're hiring.
As a Commercial Account Executive at ClickHouse, you'll own the full sales cycle for inbound, product-led, and self-serve accounts in this segment. You'll engage with data engineers, platform teams, and technical founders at the moment they're evaluating ClickHouse for a real use case — and your job is to help them succeed, faster. The best deals in this segment don't feel like sales. They feel like an engineering consultation that ends in a contract.
Our commercial customers include companies like Circle, Flashbots, Blockworks, Cypress.io, Kit, Whop, Coframe, Shaped, and janitorai — developer-first products that chose ClickHouse because they needed something that could handle billions of events without slowing down their users. The best deals in this segment don't feel like sales. They feel like an engineering consultation that ends in a contract.
This is a role for technically strong people who are ready to own a number. Prior closing experience is not required — but technical credibility is non-negotiable.
What You Will Be Doing
- Own the full sales cycle from inbound lead to close for accounts in the sub-250 employee segment, with a focus on speed, technical depth, and conversion quality.
- Engage directly with data engineers, platform architects, and technical founders to understand their use cases, data volumes, query patterns, and infrastructure requirements — and map those to ClickHouse capabilities.
- Troubleshoot schema design questions, ingestion patterns, and integration challenges during the evaluation process; serve as a trusted technical advisor rather than a traditional sales rep.
- Identify expansion opportunities within the existing self-serve and product-led customer base; convert usage signals into meaningful commercial relationships.
- Partner with Solutions Engineers on more complex evaluations, and advocate for customer needs internally with Product and Engineering.
- Maintain rigorous pipeline hygiene — documenting technical context, decision criteria, stakeholders, and next steps in Salesforce so nothing falls through the cracks.
- Contribute to playbooks, technical objection handling guides, and onboarding materials that help the team scale what's working.
- Participate in developer community events, technical meetups, and online forums where our users naturally gather.
What You Bring
- A technical foundation that earns respect in engineering conversations — built through experience as a data engineer, solutions engineer/architect, software engineer, or similar role.
- Comfort with the modern data stack: columnar databases, streaming ingestion (Kafka, Kinesis), cloud infrastructure, and SQL-heavy analytics workflows. Hands-on experience with ClickHouse, DuckDB, Druid, Pinot, BigQuery, Snowflake, or similar is a strong plus.
- Some customer-facing experience — whether in pre-sales, technical account management, solutions engineering, or a customer-success capacity. You've navigated technical conversations with real stakes before.
- An instinct for moving quickly. This segment runs on short cycles. You know how to drive urgency without being pushy, and how to remove technical blockers that stall deals.
- Strong written and verbal communication. You can simplify complex concepts without dumbing them down, and you write clearly enough that your emails actually get responses from engineers.
- Curiosity about the business side of technology. You're interested in understanding why companies buy, not just what they're building.
- Ownership mentality. You're comfortable operating with autonomy, making judgment calls without a playbook, and learning from what doesn't work.
Why This Role Is Different
Most AE roles are execution roles. This one is a craft role. You'll build deep product knowledge, learn how high-growth companies architect for scale, and develop commercial skills in an environment where your technical instincts are your biggest competitive advantage. For the right person, this is a rare opportunity to bridge two worlds — and get paid competitively to do it.
Compensation
For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.
These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.
An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.
If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.
Perks
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 20 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A $500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
Culture - We All Shape It
As part of a rapidly scaling start up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.
Equal Opportunity & Privacy
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here for our Privacy Statement.
Ready to apply?
Apply to ClickHouse
At MNTN, we put our people first, full stop. This allows our company culture to be defined by our team members and their shared values, like trust, ambition, quality, radical honesty, and compassionate leadership. It’s why we all really love working for the Hardest Working Software in Television™ (and also why we were named one of Ad Age’s Best Places To Work in 2025.)
We pride ourselves on bringing unrivaled performance and simplicity to Connected TV advertising. Our self-serve technology makes running TV ads as easy as search and social, helping brands drive measurable conversions, revenue, site visits, and more. It’s what led MNTN to being named one of Fast Company's Most Innovative Companies in 2023. You can learn more about us and everything we do by visiting https://mountain.com/.
We’re committed to innovation that empowers, not replaces. At MNTN, AI is a tool for growth, enhancing efficiency while keeping a people-first approach. Our goal is to streamline workflows and drive new solutions—without compromising the human element that makes our company great.
So if wanting to do more, own more, and make a bigger impact comes naturally to you, then you may be the person we're looking for to join us in our next stage of growth.
At MNTN, we're looking for a Senior Software Engineer for our Attribution squad, the team behind Verified Visits™, our proprietary attribution system that helps brands finally answer the age-old marketing question: "Did this actually work?" Spoiler: it did, and you'll be a part of the team making it happen.
Our microservices handle hundreds of millions of requests per day, powering a real-time behavioral marketing platform that drives performance in cross-device advertising. We heavily utilize open source technology alongside in-house solutions to meet the low-latency demands of rapid-response advertising.
What You'll Do
- Design and build a robust attribution platform that reaches the right audience, anywhere, anytime
- Build high-volume Kotlin services that are reliable at scale on GCP/GKE
- Design and own data pipelines using SQLMesh, Airflow, and BigQuery to power attribution analytics and downstream products
- Write and optimize SQL against large datasets for both production services and analytical workloads
- Collaborate with and explain complex technical issues to product teams and partner engineering squads
- Mentor engineers across the team and raise the bar on design, testing, and operational quality
- Optimize and enhance existing services and pipelines
What Success Looks Like
- Within 90 days, you've ramped on the Attribution stack, shipped meaningful changes to production, and are comfortable navigating our service topology and data model
- You own new data pipelines end-to-end from requirements through SQLMesh/Airflow design, deployment, and on-call. You partner with data analysts to make attribution data trustworthy and easy to consume
- You're a trusted technical voice in cross-squad discussions, helping shape attribution-adjacent work and mentoring engineers through design and code review
What You'll Bring
- 5+ years of backend development experience, ideally in Kotlin (Java or Scala also welcome)
- 3+ years writing production SQL: query optimization, window functions, and schema design against large datasets
- Experience designing and operating data pipelines with tools like SQLMesh, Airflow, dbt, or similar
- Experience with cloud data warehouses (BigQuery preferred; Snowflake, Redshift, etc. also relevant)
- Experience with microservice architectures running on Kubernetes (GKE preferred)
- Experience with event streaming (Kafka or similar)
- Python experience for scripting and pipeline work
- Strong knowledge of modern design patterns and distributed systems fundamentals
- Comfortable writing effective unit and integration tests with frameworks
- Proficient with Git and a Linux/UNIX environment
- Knowledge of NoSQL databases such as Cassandra (preferred)
- Experience mentoring engineers and influencing technical direction across a team
MNTN Perks
- 100% remote within the US
- Flexible vacation policy
- Annual vacation allowance for travel related expenses
- Three-day weekend every month of the year
- Competitive compensation
- 100% healthcare coverage
- 401k plan
- Flexible Spending Account (FSA) for dependent, medical, and dental care
- Access to coaching, therapy, and professional development
About MNTN
Our recruiters will always reach out using an email address ending with @mountain.com OR @mntn.com. If you’re contacted by someone without that address and they mention a Reference Code (which we never use), then that ain’t us folks. Tell those trolls to take a hike–you’re waiting to climb a MNTN.
MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile. MNTN Performance TV has redefined what it means to advertise on television, transforming Connected TV into a direct-response, performance marketing channel. Our web retargeting has been leveraged by thousands of top brands for over a decade, driving billions of dollars in revenue.
Our solutions give advertisers total transparency and complete control over their campaigns all with the fastest go-live in the industry. As a result, thousands of top brands have partnered with MNTN, including Tarte, Decked, and National University.
#LI-Remote
Ready to apply?
Apply to MNTN
Insights and Integrations Consultancy Data Scientist
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Who we are:
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking an Insights & Integrations Consultancy Data Scientist who will be responsible for transforming complex data into clear, business-impactful insights that drive portfolio expansion, retention, and real-world outcomes for fleet operators around the world. This role sits at the intersection of data science, customer consultancy, and sustainability — where your ability to communicate the why behind the data matters as much as the analysis itself. If you love turning data into decisions and have a passion for sustainability and clean transportation — we would love to hear from you!
What you'll do:
As an Insights & Integrations Consultancy Data Scientist, your key area of responsibility will be partnering with strategic accounts to drive ecosystem expansion and retention — not just through technical analysis, but by translating that analysis into business impact that resonates with fleet managers, executives, and non-technical stakeholders. You will develop and maintain deep expertise across the Geotab platform, engaging directly with partners and end-users to optimize their use of Geotab's technology, presenting data-driven insights in ways that clearly demonstrate ROI, cost savings, and efficiency gains. Day-to-day, you will design and deliver Big Data dashboards and analytics tools, maintain Airflow pipelines for continual data analysis using SQL and Python, develop proof of concepts, and solve complex business problems through customer-tailored algorithms and predictive models. You will also represent Geotab as a thought leader at industry events and trade shows — particularly in the areas of fleet electrification and sustainability — and travel quarterly to Canada for team meetings, with additional on-sites at key strategic accounts.
You will work closely with Account and Engagement Managers within Geotab's Sales Channels, the Signature Accounts Team, Product Management, and Solutions Engineering — relationships that are essential to identifying growth opportunities and translating customer feedback into product improvements. To thrive in this role, you will bring an exceptional ability to communicate complex technical concepts to non-technical audiences, a consultative mindset focused on business outcomes over technical jargon, and a genuine passion for sustainability and the electrification of commercial fleets.
How you'll make an impact:
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Develop and maintain comprehensive knowledge of the Geotab ecosystem, serving as a Subject Matter Expert (SME) to empower end-users and partners and enhance their understanding of Geotab solutions.
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Engage and collaborate with partners and end-users to optimize their utilization of Geotab's technology, products, and solutions, tailoring the approach to meet their specific needs.
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Contribute to the continuous improvement of the company's offerings by providing partner and end-user feedback, providing opportunities to collaborate with Product Management teams.
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Create and optimize data-driven dashboards for cross-functional use, facilitating informed decision-making and efficient collaboration with a focus on expansion and retention of existing customers.
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Ensure partner and end-user satisfaction through prompt and accurate service, bolstering internal team support by providing additional insights and know-how.
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Collaborate with the Geotab revenue generating teams to identify and deliver effective solutions for customer challenges, by working closely with them and their partners, contributing to sales growth, ecosystem expansion and customer retention.
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Support Geotab's partner upskilling, driving them towards excellence to support customers across unique channels, using best practices, and leveraging a deep understanding of industry verticals.
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May be involved in developing and implementing proof of concepts. This involves creating a small-scale version of the solution to demonstrate its feasibility and effectiveness in the customer's environment.
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Staying updated with industry trends, competitor products, and market demands is crucial. Need to understand the broader landscape in which Geotab operates to position their solutions effectively.
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Keep accurate records of customer interactions, solution designs, and outcomes is important. This helps in creating case studies, improving processes, and maintaining a repository of successful solutions for reference.
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Deliver compelling technical presentations and demonstrations to customers. They showcase the features and benefits of the product or service, highlighting how it solves the customer's problems.
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Work closely with the sales team and fellow engineers throughout the sales cycle as needed. Provide technical support, answer technical questions, and address concerns that potential customers may have in regards to their area of subject matter expertise.
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Based on customer requirements, design customized solutions or configurations using the company's products. They create proposals and presentations that outline how the solution meets the customer's needs, often through demonstrations or prototypes.
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Even before a sale is made, may assist with technical inquiries from potential customers. This could involve explaining technical details, providing documentation, or guiding customers on how to integrate the solution into their existing systems when expertise beyond the general area is required.
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Solve complex business problems by providing analytics or analytics-based consulting, including customer-tailored algorithms and predictive models, under guidance or mentorship.
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Maintain airflow pipelines for continual data analysis combining SQL queries and python scripts.
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Design, maintain and deliver Big Data dashboards and tools; document stakeholder requirements, resolve issues, and fulfill change requests.
What you'll bring to this role:
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Bachelor's degree in Engineering, Computer Science, Information Technology, or a related field; equivalent combination of education and/or work experience may be substituted.
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3–5 years of experience in a relevant customer-facing technical role, including Solutions Engineering, Sales Engineering, Integration Engineering, Engineering Support, Software Development, Data Science, or Technical Account Management.
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1–3 years of hands-on experience with SQL (Google BigQuery preferred) and data science tools (Python, pandas, numpy preferred).
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Experience working with large data environments and demonstrated ability to extract value from very large datasets, including data modeling and data warehouse concepts.
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Data visualization skills, particularly in dashboarding platforms such as Power BI or Tableau.
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Technical knowledge of telematics, IoT, APIs, and related technologies; working knowledge of hardware integrations is a bonus.
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Strong communication and presentation skills, with the ability to articulate complex concepts to both technical and non-technical audiences, and to collaborate effectively across cross-functional teams.
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Effective problem-solving and critical thinking abilities, with the capacity to assess customer challenges and propose viable solutions.
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A customer-focused mindset with strong time management and organizational skills; able to manage multiple projects and priorities simultaneously.
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Desire to stay current with emerging technology and the flexibility to adapt to growing market demands.
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Ability to travel up to 20% of the time internationally; valid passport required.
Why job seekers choose Geotab:
Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program
*The above are offered to full-time permanent employees only
How we work:
Other employment statements:
Geotab will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. Geotab provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Geotab complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Geotab expressly prohibits any form of workplace harassment or discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Geotab's employees to perform their job duties may result in discipline up to and including discharge. If you would like more information about our EEO program or wish to file a complaint, please contact our EEO officer, Klaus Boeckers at HRCompliance@geotab.com. For more details, view a copy of the EEOC's Know Your Rights poster. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice.Ready to apply?
Apply to Geotab
Senior Software Engineer, Data Platform
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Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date.
We’re looking for a Senior Software Engineer to help design, build, and scale Profluent’s data platform. This platform houses data from protein engineering campaigns, including protein designs, experimental results, partner datasets, analytical outputs, and model-ready training data. It enables rapid machine learning, biological discovery, and secure collaboration across internal and external programs.
This role is ideal for an engineer who enjoys building robust data systems: secure ingestion pipelines, well-structured warehouses, reliable data models, access controls, auditability, and infrastructure that makes complex scientific data usable at scale. You will work closely with ML, bioinformatics, and program teams to ensure Profluent’s data is organized, governed, accessible, and protected.
Responsibilities
- Design, build, and maintain scalable data infrastructure for protein engineering campaigns, including ingestion, transformation, validation, storage, and retrieval of large scientific datasets
- Develop secure data pipelines for internal and partner-generated data, with strong attention to access control, data siloing, provenance, auditability, and compliance with data use restrictions
- Own core components of Profluent’s data warehouse and data platform, using Python, GCP, PostgreSQL, BigQuery, and related cloud-native technologies
- Build systems that transform raw experimental, computational, and partner data into structured, reliable, analysis-ready and model-ready datasets
- Establish best practices for data modeling, metadata management, data quality checks, schema evolution, versioning, and documentation
- Collaborate with ML engineers, computational biologists, data scientists, and program stakeholders to understand data requirements and translate them into scalable technical systems
- Improve engineering quality through thoughtful system design, code review, testing, CI/CD, observability, and maintainable development workflows
- Contribute to architectural decisions for how Profluent stores, secures, organizes, and uses data across programs and partnerships
Qualifications
- 5+ years of software engineering, data engineering, or data platform experience
- Strong proficiency in Python and modern software development practices, including git, testing, code review, CI/CD, and production deployment
- Experience designing and operating production data pipelines, data warehouses, and data models at scale
- Hands-on experience with cloud platforms, preferably GCP, and technologies such as BigQuery, PostgreSQL, object storage, workflow orchestration, and containerized services
- Strong understanding of data security, access control, data partitioning or siloing, audit logging, and managing sensitive or restricted datasets
- Experience working with complex, heterogeneous datasets and building systems that make them reliable, discoverable, and usable
- Ability to work independently, make sound technical decisions, and drive projects from ambiguous requirements to production systems
- BS, MS, or PhD in Computer Science, Engineering, Data Science, Bioinformatics, or a related technical field, or equivalent practical experience
Preferences (but not required)
- Experience with scientific, biological, clinical, genomic, laboratory, or high-throughput experimental data
- Experience managing external partner, customer, or restricted-access datasets
- Familiarity with data governance, lineage, metadata systems, schema registries, or data catalogs
- Experience with research data systems, LIMS, ELNs, Benchling, or adjacent scientific platforms
- Background working with ML, data science, computational biology, or cross-disciplinary technical teams
- Interest in learning biology, gene editing, protein design, or machine learning concepts
What We Offer
- High-growth opportunity with meaningful impact on the future of protein design
- Competitive compensation package with equity participation
- 401(k) with a strong employer match
- Comprehensive benefits including health/dental/vision insurance
- Generous PTO policy and commitment to work-life balance
- Professional development opportunities in a cutting-edge field at the intersection of AI and biology
Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.
Work Authorization Requirement
Applicants must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided now or at any time in the future for this position.
Employment Eligibility Verification
Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.
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Senior Machine Learning Engineer, Shield
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WHAT IS BOX?
Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.
By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.
WHY BOX NEEDS YOU
Box Shield is an add-on security control that helps you protect the flow of information and reduce content-centric risks with precision — without slowing down work. It allows classification-based security controls to automatically prevent data loss, and AI-powered, context-aware alerts to detect potential data theft and malicious content. Box Shield enables secure hybrid work from anywhere, anytime, and any device with native tools that help secure content at scale.
The Shield team is looking for ML engineers with a passion for building out enterprise security features that are able to handle complex use-cases in a robust and easy-to-use way. Shield’s mission is to protect the flow of an enterprise’s information while delivering frictionless user experience so that Box is the tool of choice for secure Cloud Content Management. Shield helps customers keep their content secure by detecting malicious software in their content, potentially compromised accounts, and anomalous behavior so that Administrators have the right information to act before a problem occurs. As an engineer on our team, you will join a diverse, fast-paced, mainly backend/core team that works together to build new capabilities that help Box’s customers protect their Box content. Security being a horizontal product, you will work across teams to design and implement capabilities that power high-demand use-cases in a future-proof way.
WHAT YOU'LL DO
- Build Threat Detection Models: Design, train, and deploy ML models for ransomware detection, suspicious session identification, and user behavior analytics, anomaly detection
- Scale Data Pipelines: Own end-to-end ML pipelines that process high-volume security event streams using Apache Spark, GCP Dataflow, GCP Dataproc, BigQuery and Vertex AI
- Feature Engineering: Create and maintain feature stores that power real-time and batch anomaly detection systems
- Production ML Systems: Deploy, monitor, and iterate on ML models in production, serving enterprise customers at scale
- Cross-functional Collaboration: Partner with Platform, Application Engineering, and Product teams to translate security requirements into ML solutions
- Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise.
WHO YOU ARE
We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.
- 5+ years of experience in applied machine learning
- Lead design and implementation efforts in building, deploying and supporting scalable ML systems
- Experience with GCP (Vertex AI, BigQuery, Dataflow) or equivalent (AWS SageMaker, Azure ML)
- Strong communication skills with ability to explain complex ML concepts to non-technical stakeholders
- Ownership mindset with focus on delivering high-quality work both technically & collaboratively
MUST-HAVE EXPERIENCE
- Bachelors or above degree in Computer Science or equivalent practical experience.
- Strong programming skills in Python
- Deployed and maintained ML models serving real traffic
- Deep understanding of feature engineering, model evaluation, and MLOps
- Clear, inclusive communicator who values collaboration, mentorship, and continuous improvement.
Nice To Have Experience
- Experience in security/threat or fraud detection and with sequential data and behavioral modeling (e.g., anomaly detection, time-series forecasting, LSTM, Transformers, or similar).
- Experience with streaming/real-time ML systems
- Experience with FedRAMP/compliance-constrained environments
- Familiarity with Java stack for service integrations
- Publications or contributions in ML security
Tech Stack You’ll Work With
- Languages: Python, Go, Java
- ML/Data: Apache Spark, Vertex AI, BigQuery, TensorFlow/PyTorch
- Infrastructure: GCP, Kubernetes
- Domains: User Behavior Analytics, Time-Series Anomaly Detection, AI Security, Content classification, Ransomware Detection
Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.
At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!
EQUAL OPPORTUNITY
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and independence of people with disabilities and is committed to giving them the same opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.
Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.
Notice to applicants in Los Angeles: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance. The Fair Chance Ordinance is provided here.
Notice to applicants in San Francisco: Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance. The Fair Chance Ordinance is provided here.
For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here.
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Software Engineering Manager, Lab Informatics Platform
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Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date.
We’re looking for a hands-on engineering manager to lead Profluent’s Lab Informatics Platform team. This team builds the systems scientists use to design experiments, track samples, capture assay data, integrate with Benchling and lab automation, and make experimental data usable for analysis and machine learning.
The ideal candidate is both an experienced people manager and a strong technical lead. You’ll formally manage and mentor a small team while remaining deeply involved in architecture, data modeling, database design, and technical execution. You’ll work closely with wet-lab scientists, automation engineers, data scientists, and ML experts to build practical, scientist-facing tools that make complex experimental workflows scalable, traceable, and actionable.
Responsibilities
- Lead, mentor, and grow a software engineering team focused on lab informatics systems, scientific data infrastructure, and scientist-facing applications
- Architect and deliver the roadmap for systems that support sample tracking, assay data capture, Benchling integration, lab automation, experimental metadata, and analysis workflows
- Design robust data models for protein engineering and gene editing experiments, including constructs, samples, reagents, cell systems, assay results, metadata, and experimental lineage across mammalian and bacterial workflows
- Partner closely with scientists to translate complex laboratory requirements into scalable software solutions that accelerate Profluent’s design-build-test-learn cycle
- Build and maintain backend systems, APIs, databases, data pipelines, and web applications using technologies such as Python, Django, PostgreSQL, BigQuery, GCP, and modern development workflows
- Establish strong engineering practices across architecture, code review, testing, CI/CD, documentation, and agile delivery
Qualifications
- 7+ years of software engineering experience, including at least 2 years managing or leading engineers
- BS, MS, or PhD in Computer Science, Bioinformatics, Computational Biology, Engineering, or a related field, or equivalent experience
- Strong technical leadership skills, with a track record of architecting and delivering production-quality software systems
- Proficiency with Python, backend development, databases, APIs, and modern software engineering workflows
- Experience building lab informatics systems, scientific data platforms, LIMS/ELN integrations, research software, or scientist-facing applications
- Experience with data modeling and database design for complex scientific, operational, or experimental workflows
- Demonstrated ability to work closely with scientists and translate ambiguous laboratory workflows into reliable software systems
Preferences (but not required)
- Experience with Benchling, lab automation, instrument data ingestion, sample tracking, or high-throughput experimental data
- Experience with data generated from mammalian or bacterial cell systems, gene editing, protein engineering, or related biological workflows
- Frontend web development experience and interest in building intuitive scientist-facing user interfaces
What We Offer
- High-growth opportunity with meaningful impact on the future of protein design
- Competitive compensation package with equity participation
- 401(k) with a strong employer match
- Comprehensive benefits including health/dental/vision insurance
- Generous PTO policy and commitment to work-life balance
- Professional development opportunities in a cutting-edge field at the intersection of AI and biology
Profluent Bio, Inc is an equal opportunity employer promoting diversity and inclusion in the workspace. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical conditions, veteran status, sexual orientation, gender (including gender identity and gender expression), sex (which includes pregnancy, childbirth, and breastfeeding), genetic information, taking or requesting statutorily protected leave, or any other basis protected by law.
Work Authorization Requirement
Applicants must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided now or at any time in the future for this position.
Employment Eligibility Verification
Legal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.
Ready to apply?
Apply to Profluent
Who We Are:
The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.
What You’ll Do:
As a Senior ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit.
- Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more
- Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration
- Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment
- Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more
- Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges
Who You Might Be:
- 5+ years of experience in ML infrastructure, including model training and model deployments
- Hands-on experience with ML optimization, including memory and GPU profiling
- Deep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code (Terraform), and more
- Hands-on experience administering and integrating MLOps tools for experiment tracking, model serving, and model registries (e.g. MLflow or Wandb)
- Proficiency with the common programming languages and frameworks of ML, such as Python, PyTorch, Tensorflow, etc.
- Deep experience working with distributed training frameworks, including Ray and Kubernetes
- Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle.
- Strong organizational & communication skills
- Experience working with graph databases (Neo4j, JanusGraph, TigerGraph) is a big plus
- Experience working with graph neural networks (GNNs) and associated graph ML frameworks (PyTorch Geometric, Deep Graph Library) is a big plus
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Ready to apply?
Apply to Reddit
Who We Are:
The Machine Learning Platform team at Reddit is a high-impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams.
What You’ll Do:
As a Staff ML Infrastructure Engineer, you will lead development of a platform for large scale ML models at Reddit.
- Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more
- Zero-to-one development and support of a graph ML codebase and platform that abstracts away common patterns and enables greater model scalability and iteration
- Collaborate with ML engineers on performance tuning, including improving model training time, efficiency, and GPU training costs in a large, distributed ML training environment
- Optimize batch data processing within a data warehouse and with tools such as Apache Beam, Apache Spark, Ray Data, and more
- Architect pipelines to build and maintain massive graph data structures on the order of billions of nodes and tens of billions of edges
Who You Might Be:
- 8+ years of experience in ML infrastructure, including model training and model deployments
- Hands-on experience with ML optimization, including memory and GPU profiling
- Deep experience with cloud-based technologies for supporting an ML platform, including tools like GCP BigQuery, Google Cloud Storage, infrastructure-as-code (Terraform), and more
- Hands-on experience administering and integrating MLOps tools for experiment tracking, model serving, and model registries (e.g. MLflow or Wandb)
- Proficiency with the common programming languages and frameworks of ML, such as Python, PyTorch, Tensorflow, etc.
- Deep experience working with distributed training frameworks, including Ray and Kubernetes
- Strong focus on scalability, reliability, performance, and ease of use. You are an undying advocate for platform users and have a deep intuition for the machine learning development lifecycle.
- Strong organizational & communication skills
- Experience working with graph databases (Neo4j, JanusGraph, TigerGraph) is a big plus
- Experience working with graph neural networks (GNNs) and associated graph ML frameworks (PyTorch Geometric, Deep Graph Library) is a big plus
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Ready to apply?
Apply to Reddit