SQL Jobs in San Francisco.
All active SQL roles based in San Francisco.
Pick a job to read the details
Tap any role on the left — its description and apply link will open here.
Operations Program Manager
Share this job
About Redwood Materials
Redwood is localizing a global battery supply chain that seamlessly integrates recovery, reuse, and recycling — keeping critical minerals in circulation and driving the energy transition. Founded in 2017, we’re delivering low-cost and large-scale energy storage and producing battery materials in the U.S. for the first time, all from batteries we already have.
Operations Program Manager
We are seeking a highly technical Operations Program Manager to lead build readiness & internal ramp execution for hardware manufacturing. This role requires strong hands-on manufacturing engineering instincts, the ability to dive into process capability and equipment readiness, and real experience improving throughput, yield, and reliability at production facilities. You will manage builds from prototypes to mass production, working with cross-functional teams to ensure processes are capable and stable at scale.
Responsibilities will include:
- Drive cross-functional execution from NPI through mass production, aligning Engineering, Manufacturing, Supply Chain, Quality, Finance, and external stakeholders to meet build and ramp targets
- Define ramp success criteria, build plans, and phase-gate reviews to enable smooth transition from proto → pilot → MP → scale
- Manage program schedules, risks, and dependencies; maintain clear dashboards and communication, escalating critical issues with data-driven options for resolution
- Own factory and supplier readiness for PCBA & box builds: lead technical reviews, capacity & CapEx planning, process qualification, line bring-up, and on-site build support
- Drive yield improvement and issue closure by partnering with internal teams and manufacturing sites to validate process, test coverage, and quality systems
- Lead root cause, containment, corrective action, and long-term process improvements
- Establish run-at-rate requirements and validate capacity at suppliers and internal sites
- Identify bottlenecks and implement solutions for cycle-time reduction, debottlenecking, and throughput increase
- Serve as the primary interface between internal product teams and external manufacturing partners to ensure aligned execution and accountability
- Support go-to-market operational readiness, ensuring supply availability, logistics, and sustaining plans are in place for launch and scale
Desired Qualifications:
- 5+ years in program management, CM operations, manufacturing & process engineering, supplier industrialization, or technical operations in high-volume hardware
- Demonstrated success improving yield, throughput, cycle time, and OEE in production
- Hands-on experience with PPAP/APQP, DOE, SPC, PFMEA, GR&R, control plans
- Strong data analysis skills: Excel/Sheets; SQL, JMP, Minitab or Python beneficial
- Ability to read mechanical and electrical drawings
- Experience in automotive or power electronics manufacturing
- Experience scaling hardware production from lab/pilot → volume manufacturing
In accordance with California pay transparency laws, the salary range for this position is listed below. Actual compensation may vary based on a variety of factors, including experience, education, and skills.
The position is full-time. Compensation will be commensurate with experience.
We collect personal information (PI) from you in connection with your application for employment with Redwood Materials, including the following categories of PI: identifiers, personal records, professional or employment information, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment. If you have additional privacy-related questions, please contact us at privacy@redwoodmaterials.com.
Ready to apply?
Apply to Redwood Materials
Supply Chain Process & Analytics Manager
Share this job
Who we are
Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.
The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.
At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.
Staff Business Process Manager - Supply Chain will be a key leader responsible for driving operational excellence for the newly integrated Global Purchasing and Supply Chain (GPSC) organization. This role will focus on assessing process effectiveness, establishing a robust data-driven culture through advanced dashboards, and leading cross-functional improvements. This role will transition our rapidly scaling organization from manual workflows to a high-performance, automated powerhouse. You will be the architect of the supply chain processes, owning the organizational "Playbook" and acting as the primary business stakeholder for critical system enhancements, ensuring all processes are scalable and SOX-compliant.
In this role you will
Process Documentation & Maintenance: Own design and maintenance of the GPSC "Playbook" by conducting regular assessments of purchasing and supply chain workflows to identify and resolve operational bottlenecks. ensure all SOPs, process maps, and policy documentations are scalable, data-driven, and audit-ready.
- KPI & Dashboard Ownership: Design and automated deployment of real-time dashboards and KPI metrics to ensure a "Single Source of Truth" that transitions the organization from reactive reporting to proactive, actionable insights for leadership.
- System Transformation & Automation: Serve as the lead business stakeholder for ERP enhancements, defining functional requirements and driving automation to eliminate manual reporting and close process gaps.
- Cross-Functional Optimization: Identify and resolve process bottlenecks by executing process improvements that reduce manual data entry and streamline information flow between teams.
- SOX Compliance & Control Design: Partner with Internal Audit to architect, implement, and monitor robust SOX controls, owning the documentation and quarterly self-testing to ensure 100% audit readiness.
- Digital Innovation: Proactively identify and integrate emerging technologies, including AI-based tools, to enhance business processes, predictive reporting, and overall organizational efficiency.
Required qualifications
- 7+ years of experience driving supply chain process optimization and design, specifically within high-growth technology or manufacturing industries.
- 4+ years of experience in business process mapping (ie. Lucidchart, Visio, Miro) within a hardware environment.
- Direct experience with SOX audits and a deep understanding of internal control frameworks.
- Mastery of ERP (ie. NetSuite) and P2P (ie. Coupa) platforms.
- Proficient in SQL/Python and data visualization tools (ie. Looker Studio, Tableau, Power BI, or Mode).
- Practical experience applying Lean, Six Sigma, or similar process improvement frameworks to supply chain workflows.
- Exceptional ability to map information flow with upstream/downstream impacts and manage the relationship between multiple cross-functional systems and tools
Desirable qualifications
- Degree in Industrial Engineering, Supply Chain, or a related technical field.
- Six Sigma Certification.
- Experience across multiple supply chain domains
- Passion for continuous improvement with the curiosity to uncover gaps, resilience to manage ambiguity, and drive to optimize processes and create solutions
- Forward-thinking approach and tenacity to anticipate risks/opportunities and proactively drive towards the desired outcomes
The base salary range for this position is $147,000 - $220,000 per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.
Working at Aurora
At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.
We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.
Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.
Our commitment to safety
At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what.
Our commitment to inclusion
Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech.
For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.
Ready to apply?
Apply to Aurora Innovation
Project Controls Analyst (Cost and Data Visualization)
Share this job
About the Positions
We’re seeking Project Controls Analysts (Cost and Data Visualization) at multiple levels to support large, heavy-civil infrastructure programs, including highways, roads, bridges, transit (rail and bus), aviation (international airports), and water projects delivered through both traditional and alternative methods.
These roles sit at the intersection of project controls and modern data analytics. Depending on level and experience, responsibilities may span cost control, financial tracking, and schedule awareness, combined with advanced data structuring and visualization capabilities. Across all levels, the focus is not just on building dashboards, but on working within active programs to help teams understand what the data is actually telling them and where performance is trending.
Team members support cost and financial oversight across publicly funded programs (USDOT, FAA, FTA, and state DOTs), contributing across the full reporting lifecycle. This may include partnering with stakeholders to define reporting requirements, integrating and validating data from multiple systems, structuring datasets, and developing dashboards and reports that support project execution, program controls, and executive decision-making.
At Luster, these are not passive reporting roles. Depending on level, individuals play a key part in shaping how project data is organized, governed, and communicated across complex, multi-stakeholder environments. The expectation across the team is an understanding of both the data and the project context behind it, with the ability to bridge the gap between technical outputs and real-world delivery.
This posting is for future roles and not for a specific opportunity that is available right now. We accept applications and conduct interviews in advance of upcoming hiring needs. When a candidate is selected, their profile is activated in our talent pool for this specialty area. We notify our talent pool candidates first whenever we have a project need.
Responsibilities may include, but are not limited to, the following:
Project Controls and Program Analytics
- Develop dashboards and reports that support cost, schedule, forecast, progress, change, and performance analysis.
- Create reporting solutions for project teams, program leadership, and executive stakeholders.
- Support analytics related to: budget versus actuals; forecast trends; cost and schedule variance; cash flow and commitments; change management; portfolio and program performance; risk and exposure indicators.
- Help translate project controls data into practical, decision-ready outputs.
Cost Control and Financial Oversight
- Monitor actual costs vs. budget and analyze variances across multiple funding sources.
- Implement cost control procedures in compliance with federal and state regulations.
- Prepare cost reports and documentation required by agencies such as the Federal Transit Administration (FTA), Federal Aviation Administration (FAA), and State DOTs.
- Collaborate with scheduling, procurement, and engineering teams to align cost data with project milestones.
- Support earned value management (EVM) and integrate cost and schedule performance metrics.
- Identify cost-related risks and support mitigation planning.
- Evaluate cost impacts of change orders and scope modifications.
- Interface with government clients, contractors, and internal teams to ensure transparency and accountability.
- Participate in audits, reviews, and funding agency meetings.
- Support reporting deliverables across multiple funding and delivery structures, including traditional and alternative methods.
Data Integration and Management
- Extract, organize, and validate data from client and internal systems, including PMIS platforms, ERP systems, scheduling systems, and operational/financial source systems.
- Support the design and maintenance of data pipelines using SQL, APIs, and Python-based workflows.
- Prepare data for reporting through cleansing, transformation, and modeling.
- Contribute to scalable data structures that support repeatable reporting and analytics delivery.
Dashboard and Report Development
- Design and build user-friendly dashboards, reports, and visual analytics primarily in Power BI.
- Develop views tailored to different audiences, including executive, management, and operational users.
- Use wireframes and prototypes to align reporting design with stakeholder needs.
- Incorporate best practices in layout, usability, filtering, navigation, and documentation.
- Support paginated and presentation-ready reporting where required.
Stakeholder Collaboration
- Gather and document business requirements from internal teams and external clients.
- Facilitate conversations that clarify reporting goals, success criteria, and data availability.
- Present reporting concepts, draft dashboards, and iterative updates for stakeholder review.
- Provide clear communication to both technical and non-technical audiences.
- Support user adoption through training, reference materials, and report documentation.
Continuous Improvement and Innovation
- Identify opportunities to improve reporting quality, efficiency, and business value.
- Recommend more effective ways to structure, visualize, and interpret data.
- Support innovative uses of modern analytics, automation, and AI-enabled workflows where appropriate.
- Contribute to Luster’s evolving internal and client-facing analytics capabilities.
Attributes
- Excellent written and verbal communication and interpersonal skills.
- Ability to work effectively with cross-functional teams and communicate with a range of stakeholder groups.
- Meticulous analyst who spots anomalies quickly and communicates them clearly.
- Comfortable navigating large datasets, cost-control platforms, and Excel pivot tables.
- Strong attention to detail and commitment to data quality.
- Excellent multitasking and organizational skills.
- Collaborative mindset that fosters teamwork, trust, and positive relationships.
- Natural curiosity, problem-solving abilities, and a passion for continuous improvement.
Minimum Qualifications
- Bachelor’s degree in engineering, construction management, finance, business, data analytics, information systems, statistics, computer science, or a related field, or equivalent combination of education and experience.
- 5+ years of relevant experience in project controls, cost engineering, business intelligence, data analytics, and/or program or portfolio reporting.
- Familiarity with project controls concepts such as cost, schedule, forecasting, and performance reporting.
- Experience developing dashboards and reports (preferably using Power BI).
- Experience using Python for data transformation, automation, scripting, or API integration.
- Proficiency with Microsoft Power BI, Oracle Cloud Analytics, or other dashboard KPI reporting software.
- Proficiency with Microsoft Office Suite/Office 365 (e.g., Outlook, Teams, Word, PowerPoint, etc.).
Preferred Qualifications
- Master’s degree in engineering, construction management, finance, business, data analytics, information systems, statistics, or computer science.
- Experience supporting infrastructure, transportation, aviation, construction, engineering, or capital program environments.
- Familiarity with tools and platforms such as Primavera P6, Oracle Primavera Cloud, Unifier, Kahua, Procore, e-Builder, Microsoft Fabric, and BI Publisher.
- Experience integrating data from ERP, PMIS, and scheduling platforms.
- Knowledge of dimensional modeling, semantic models, data warehouses, or lakehouse concepts.
- Experience building executive-level reporting for portfolio or program leadership.
- Familiarity with risk analytics, forecasting analytics, or statistical reporting methods.
- Experience working within client-controlled or regulated technology environments.
- Willingness to learn and grow in a fast-paced, innovative team environment, including developing proficiency in financial modeling and reporting and using cost/schedule management tools (e.g., Primavera P6, Deltek, and SAP).
Compensation Details
Expected Salary: $89k-$140k/year ($43-$67/hour). Luster provides the salary range that the company in good faith believes it might offer for this position based on the successful candidate’s level of experience, knowledge, skills, abilities, education, certifications, licenses, geographic location, etc. Luster reserves the right to ultimately pay more or less than the posted range depending on circumstances not related to any status protected by local, state, and/or federal law.
Just LOOK at the Benefits We Offer!
- Unlimited flexible time off
- Paid holidays
- Paid parental leave
- Health, dental, and vision insurance
- Flexible spending accounts (healthcare and dependent or elder care)
- Long-term disability insurance
- Short-term disability insurance
- Life insurance and accidental death and dismemberment
- 401(k) plan with guaranteed employer contribution
- Formal career planning and development program
- $2,500 annually toward professional development
- Wellness program with monthly wellness stipend
- Company cell phone or cell phone plan reimbursement
- Free personalized meal planning and nutrition support with a registered dietitian
- Free personal financial planning services
- Employee assistance program
- Employee discounts
- Employee referral bonus
Specific plan details and coverage for each benefit noted above will be provided upon offer.
If you wish to be considered for a position where there is not an active job posted, please search for our 'General Application' and apply.
Luster is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to criminal history, race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
All positions may be subject to a background check and drug test once a conditional offer of employment is made for any convictions directly related to its duties and responsibilities, in accordance with all applicable local, state, and/or federal regulations.
This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required for the position.
Luster does not accept unsolicited resumes from any third-party. In the absence of a signed agreement, Luster will not consider or agree to payment of any kind. Any unsolicited resumes presented to Luster personnel, including those submitted to Luster hiring managers, are deemed to be the property of Luster.
Please email hiring@luster.com for accommodations necessary to complete the application process.
Ready to apply?
Apply to Luster National
Doximity is transforming the healthcare industry. Join our mission to help every physician be more productive and provide better care for their patients. As the largest medical network in the United States, we carry an elevated level of responsibility in everything we do. We don’t take that responsibility lightly and are committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system.
One of Doximity’s core values is stretching ourselves. Even if you don’t check off all the boxes below, we encourage you to apply. Doximity is full of exceptional people who bring their own unique experiences to work every day and make us all better for it!
Product Managers at Doximity drive the strategic direction of their team and are accountable for roadmap execution, while serving as the bridge between stakeholders. You’ll work with product, data, engineering, and design teams to gather requirements, create specs, and lead teams in developing products that matter.
This role is hybrid, which requires being in our San Francisco office 3 days a week: Monday, Tuesday and Thursday.
How you’ll make an impact:
- Own the mission, strategy, goals, and metrics to measure those goals
- Lead a cross-functional team of engineers, data analysts and designers in developing and supporting product initiatives
- Identify strategies to attract and engage physicians through social and career connections
- Set clear strategy, with audacious goals, providing the team with direction and inspiration
- Enthusiastically design tests, summarizing test results and building frameworks to make data-informed launch decisions
- Develop data-backed growth strategies & solutions that increase user delight and retention
- Design & run A/B experiments to quickly iterate towards key growth metrics
- Prepare detailed specs that meet user needs, create a positive user experience, and ensure the maximum benefit to the business
- Build consensus on strategy, design, and technical decisions
What we’re looking for:
- Deep empathy for clinicians and a strong interest in the profession and culture of medicine
- User-focused, with strong instincts for usability, workflow design, and intuitive product experiences
- Resourceful and outcomes-oriented; able to identify the core problem, prioritize effectively, and drive solutions across teams
- Comfortable operating in ambiguity and bringing structure to complex product problems
- Analytical and data-driven, with experience designing experiments and using data to guide product decisions
- Comfortable working directly with data and metrics to investigate user behavior, validate hypotheses, and uncover opportunities; SQL experience is a plus
- Collaborative and low ego, with experience partnering closely across engineering, design, data to deliver product outcomes
- 3+ years of product management experience in a fast-paced environment
- Able to work from our San Francisco office Monday, Tuesday, and Thursday each week
This role is not eligible for visa sponsorship.
Compensation
The US total compensation range for this full-time position is $121,000 - $180,000 (inclusive of salary + bonus + equity). Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. Please note that the compensation listed does not include benefits.
Benefits/Perks
Doximity is proud to offer industry-leading benefits to our full-time employees. Some of our offerings include:
- Medical, dental, vision offerings for you and your family
- 401k with matching program
- Family planning support, Childcare FSA, and parental leave
- Life, AD&D, and Disability
- Generous time off, holidays and paid company trips
- Wellness benefits…plus many more!
More About Doximity…
For the past decade, it’s been our mission to help every physician be more productive so they can provide better care for their patients. We believe that when doctors are connected, the healthcare system works better and patients benefit. Doximity enables our verified clinician members to collaborate with colleagues, stay up-to-date with the latest medical news and research, manage their careers, and conduct virtual patient visits. Today, Doximity is the leading digital platform for U.S. medical professionals, with over 80% of physicians, 50% of all nurse practitioners and physician assistants, and 90% of graduating medical students as members.
Joining Doximity means being part of an incredibly talented and humble team passionate about improving inefficiencies in our $4.3 trillion U.S. healthcare system. We are a team of doers who solve problems everyday by treating obstacles like an adventure, and we love creating technology that has a real, meaningful impact on people’s lives. Doxers are committed to working towards a more equitable world both within and beyond our office walls. This starts by fostering an inclusive and diverse work environment where differences are valued and all employees are encouraged to bring their full, authentic selves to work daily. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us! For more information, visit Doximity.com.
____________________________________________
EEOC Statement
Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
Ready to apply?
Apply to DoximityDoximity is transforming the healthcare industry. Join our mission to help every physician be more productive and provide better care for their patients. As the largest medical network in the United States, we carry an elevated level of responsibility in everything we do. We don’t take that responsibility lightly and are committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system.
One of Doximity’s core values is stretching ourselves. Even if you don’t check off all the boxes below, we encourage you to apply. Doximity is full of exceptional people who bring their own unique experiences to work every day and make us all better for it!
Product Managers at Doximity drive the strategic direction of their team and are accountable for roadmap execution, while serving as the bridge between stakeholders. You’ll work with product, data, engineering, and design teams to gather requirements, create specs, and lead teams in developing products that matter.
This role is hybrid, which requires being in our San Francisco office 3 days a week: Monday, Tuesday and Thursday.
How you’ll make an impact:
- Own the mission, strategy, goals, and metrics to measure those goals
- Lead a cross-functional team of engineers, data analysts and designers in developing and supporting product initiatives
- Identify strategies to attract and engage physicians through social and career connections
- Set clear strategy, with audacious goals, providing the team with direction and inspiration
- Enthusiastically design tests, summarizing test results and building frameworks to make data-informed launch decisions
- Develop data-backed growth strategies & solutions that increase user delight and retention
- Design & run A/B experiments to quickly iterate towards key growth metrics
- Prepare detailed specs that meet user needs, create a positive user experience, and ensure the maximum benefit to the business
- Build consensus on strategy, design, and technical decisions
What we’re looking for:
- Deep empathy for clinicians and an interest in the profession and culture of medicine
- Proven track record driving product growth across web and mobile, with clear impact on key metrics (e.g., activation, engagement, retention)
- Highly analytical and data-driven; experienced running rapid experiments and optimizing funnels end-to-end
- Results-oriented, balancing bold growth bets with iterative improvements that reduce friction and increase conversion
- Strong bias for action; able to quickly turn hypotheses into shipped experiments
- Skilled at identifying growth opportunities through user behavior, data insights, and market trends; SQL experience is a plus
- Collaborative partner across engineering, design, data, and marketing to drive growth outcomes
- Experience working alongside growth marketers, with hands-on familiarity with the tools and metrics that drive acquisition, activation, and retention campaigns
- 3+ years of product management experience in a fast-paced environment
- Able to work from our San Francisco office Monday, Tuesday, and Thursday each week
This role is not eligible for visa sponsorship.
Compensation
The US total compensation range for this full-time position is $121,000 - $180,000 (inclusive of salary + bonus + equity). Our ranges are determined by role and level. The range displayed on each job posting reflects the approximate total target compensation for the position across the US. Within the range, individual pay is determined by factors including relevant skills, experience, and education/training. Please note that the compensation listed does not include benefits.
Benefits/Perks
Doximity is proud to offer industry-leading benefits to our full-time employees. Some of our offerings include:
- Medical, dental, vision offerings for you and your family
- 401k with matching program
- Family planning support, Childcare FSA, and parental leave
- Life, AD&D, and Disability
- Generous time off, holidays and paid company trips
- Wellness benefits…plus many more!
More About Doximity…
For the past decade, it’s been our mission to help every physician be more productive so they can provide better care for their patients. We believe that when doctors are connected, the healthcare system works better and patients benefit. Doximity enables our verified clinician members to collaborate with colleagues, stay up-to-date with the latest medical news and research, manage their careers, and conduct virtual patient visits. Today, Doximity is the leading digital platform for U.S. medical professionals, with over 80% of physicians, 50% of all nurse practitioners and physician assistants, and 90% of graduating medical students as members.
Joining Doximity means being part of an incredibly talented and humble team passionate about improving inefficiencies in our $4.3 trillion U.S. healthcare system. We are a team of doers who solve problems everyday by treating obstacles like an adventure, and we love creating technology that has a real, meaningful impact on people’s lives. Doxers are committed to working towards a more equitable world both within and beyond our office walls. This starts by fostering an inclusive and diverse work environment where differences are valued and all employees are encouraged to bring their full, authentic selves to work daily. To learn more about our team, culture, and users, check out our careers page, company blog, and engineering blog. We’re growing fast, and there’s plenty of opportunity for you to make an impact—join us! For more information, visit Doximity.com.
____________________________________________
EEOC Statement
Doximity is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
Ready to apply?
Apply to DoximityData Warehouse Engineer
Share this job
About the Role
Together AI is building high-performance inference compute and the software platform around it. We’re looking for an early-career Data Warehouse Engineer with strong fundamentals and high growth potential to grow into a technical lead over time. You’ll contribute to designing and operating our data warehouse, ETL pipelines and orchestration, work on core data models and metrics, and help raise the bar on data quality and governance across the org — with mentorship and support from experienced engineers.
Requirements
- 0–4 years of professional experience (or strong internships/projects) working with data warehouses, pipelines, or analytics engineering.
- Solid SQL fundamentals — you’re comfortable writing queries and have some exposure to window functions or dimensional modeling concepts.
- Some hands-on experience with dbt or Airflow, or strong eagerness to learn — coursework and personal projects count.
- Basic Python for scripting and data tooling; any exposure to Spark (PySpark/SQL) is a plus.
- Familiarity with data modeling concepts like SCD2 or star schemas — even if only from coursework.
- Good communication skills: you can ask clarifying questions, explain your reasoning, and work with stakeholders to understand their needs.
- High standards for data quality, reliability, and maintainability — you care about getting things right.
Responsibilities
- Contribute to building and maintaining a medallion/curated data warehouse stack (bronze/silver/gold) for product, usage, billing, and operational data.
- Build and maintain Airflow orchestrated pipelines and dbt transformation projects (modular, tested, documented).
- Help design analytics-ready models: SCD Type 2, star schemas, and appropriate normalization for upstream canonical layers.
- Learn and apply Master Data Management (MDM) patterns (golden records, reference data, deduping, identity resolution).
- Implement data quality checks (freshness, nulls, referential integrity, distribution drift, anomaly detection).
- Contribute to data governance habits: data stewardship, ownership, SLAs, and clear definitions for “source of truth.”
- Help build and maintain a business semantic layer (consistent metric definitions, dimensions, and reusable logic) used by notebooks/BI.
- Partner with stakeholders (Product, Engineering, Finance, GTM, Ops) to translate questions into durable datasets and metrics.
- Use SQL, Python, and Spark where scale demands it; optimize for correctness, performance, and cost.
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $130,000 - $170,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
Ready to apply?
Apply to Together AIAnalytics Engineer — Data Warehouse
Share this job
About the Role
Together AI is building high-performance inference compute and the software platform around it. We’re looking for an early-career Data Warehouse Engineer with strong fundamentals and high growth potential to grow into a technical lead over time. You’ll contribute to designing and operating our data warehouse, ETL pipelines and orchestration, work on core data models and metrics, and help raise the bar on data quality and governance across the org — with mentorship and support from experienced engineers.
Requirements
- 0–4 years of professional experience (or strong internships/projects) working with data warehouses, pipelines, or analytics engineering.
- Solid SQL fundamentals — you’re comfortable writing queries and have some exposure to window functions or dimensional modeling concepts.
- Some hands-on experience with dbt or Airflow, or strong eagerness to learn — coursework and personal projects count.
- Basic Python for scripting and data tooling; any exposure to Spark (PySpark/SQL) is a plus.
- Familiarity with data modeling concepts like SCD2 or star schemas — even if only from coursework.
- Good communication skills: you can ask clarifying questions, explain your reasoning, and work with stakeholders to understand their needs.
- High standards for data quality, reliability, and maintainability — you care about getting things right.
Responsibilities
- Contribute to building and maintaining a medallion/curated data warehouse stack (bronze/silver/gold) for product, usage, billing, and operational data.
- Build and maintain Airflow orchestrated pipelines and dbt transformation projects (modular, tested, documented).
- Help design analytics-ready models: SCD Type 2, star schemas, and appropriate normalization for upstream canonical layers.
- Learn and apply Master Data Management (MDM) patterns (golden records, reference data, deduping, identity resolution).
- Implement data quality checks (freshness, nulls, referential integrity, distribution drift, anomaly detection).
- Contribute to data governance habits: data stewardship, ownership, SLAs, and clear definitions for “source of truth.”
- Help build and maintain a business semantic layer (consistent metric definitions, dimensions, and reusable logic) used by notebooks/BI.
- Partner with stakeholders (Product, Engineering, Finance, GTM, Ops) to translate questions into durable datasets and metrics.
- Use SQL, Python, and Spark where scale demands it; optimize for correctness, performance, and cost.
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $130,000 - $170,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
Ready to apply?
Apply to Together AIBackend Software Engineer — Data Platform & AI Data Products
Share this job
About the Role
You’ll join the Data Platform team, responsible for building the backend services and “data products” that power how data moves through the company. We create the core platform primitives — high-quality event streams, reliable access layers, and developer-friendly APIs/tools — so teams across the org can self-serve what they need and ship faster. You’ll contribute to backend services that create value from our company data, and help make our data platform more self-serve so product and engineering teams can easily create and operate event-driven architectures, publish/consume streams, define access models, and ship data products end-to-end. You’ll also work on LLM-adjacent services such as prompt categorization/taxonomy, enrichment, and metadata systems that turn raw telemetry into trusted, usable products — with mentorship and support from experienced engineers.
Responsibilities
- Contribute to backend services that enhance the data platform’s capabilities (APIs, control planes, automation, governance).
- Help enable DIY workflows for teams across the company:
-
- Define/publish events and schemas
- Create/consume streams and subscriptions
- Establish access models (authz, row/field-level controls where applicable)
- Manage dataset/catalog metadata, lineage, versioning, and retention
- Contribute to end-to-end data products: ingestion → validation/quality → enrichment → serving (APIs/streams) → observability → adoption.
- Work on prompt categorization and enrichment services: taxonomy design, labeling workflows, classifier/rules integration, evaluation, drift/quality monitoring, and safe rollouts.
- Learn to own reliability: SLOs, alerting, performance/cost tuning, incident response, and postmortems.
- Partner cross-functionally with ML/LLM, infra, security, and product teams to define crisp contracts and deliver durable platform primitives.
Requirements
- 0–4 years building production or project-based backend systems (internships, coursework, and personal projects count).
- Solid fundamentals in at least one backend language (e.g., Go, Python, Java, Rust) and some exposure to API design (REST).
- Eagerness to own work end-to-end: design docs, implementation, testing, deployment, and iteration based on real usage.
- Strong engineering fundamentals: clean, maintainable code, thoughtful abstractions, and a desire to build systems that are easy to evolve.
- Basic data modeling and SQL skills, and some familiarity with at least one of:
-
- Streaming/eventing (Kafka/PubSub/Kinesis, etc.)
- Workflow/compute (Airflow/Spark/Flink/Trino, etc.)
- OLTP/OLAP stores and data lakes (Postgres + warehouse/lake tech)
- AI augmentation curiosity:
-
- You’re curious about how engineers use AI/LLMs to build software faster and better (e.g., coding copilots, agentic workflows, retrieval/knowledge grounding), and you’re eager to apply this to your own work.
- You understand that AI tools can fail or create issues, and you’re thoughtful about when and how to apply them.
Nice to have
- Any exposure to self-serve platforms, developer tooling, or multi-tenant services.
- Coursework or projects involving LLM/AI products: prompt/response telemetry, eval datasets, embeddings/RAG metadata, model/tool traces, privacy-safe logging.
- Passion for good quality code, highly readable, SOLID principles, design patterns, Domain Driven Design.
- Awareness of security and governance basics: least-privilege access, auditability, data retention, PII handling.
About Together AI
Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.
Compensation
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $120,000 - $170,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy
Ready to apply?
Apply to Together AIDiscord is used by over 200 million people every month for many different reasons, but there’s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.
Discord is seeking a Recruiting Data Analyst to join our People Analytics team. In this high-impact role, you'll report to our Sr. Director of Analytics, Systems, and Operations and serve as the dedicated analytics partner to our Recruiting function.
As a strategic advisor to Recruiting leadership, you'll leverage data to optimize our hiring processes—identifying bottlenecks, building predictive models, designing dashboards, and conducting deep-dive analyses to measure and improve recruiting effectiveness.
The teams here at Discord are small but mighty - we are looking for people who are “game” to take on multiple responsibilities to learn and grow in their careers. We are implementing One Model as our new analytics platform and there will be lots of runway to be creative and influence the way we share our data within the organization.
What You'll Be Doing
- Build strong partnerships with stakeholders across Recruiting, People, and Finance functions to establish trust as a strategic data partner
- Collaborate with Recruiting and cross-functional leadership to gather requirements, translate business needs into analytical solutions, and deliver insights that inform strategic decision-making
- Own reporting of critical Recruiting metrics (e.g., hiring progress, recruiter productivity, pipeline health) to measure the effectiveness of our Recruiting function; proactively identify issues and provide solutions to ensure goals are met
- Create and enhance interactive dashboards and visualizations in Tableau and One Model to provide real-time insights, translating complex data into stories that are easy to understand
- Collaborate with our People data analyst to ensure a cohesive analytics strategy, unified metrics across recruiting and employee experience, and critical reporting to the CPO and Executive team
- Manage data within Greenhouse and build and maintain data pipelines using SQL (Snowflake, SQL Server, etc.)
- Support data governance practices, including documentation around data access, privacy, and information flow between systems
What you should have
- 4+ years of hands-on experience in a primarily analytical role, with the ability to use data and business knowledge to solve complex problems and influence leadership decisions through storytelling
- Proficiency with SQL (e.g., Snowflake, SQL Server) and advanced expertise in Excel/Google Sheets (queries, pivot tables); familiarity with Python and/or R is a plus
- Proficiency with data visualization tools (Tableau and One Model preferred) with experience building dashboards and translating complex data into clear, compelling narratives
- ATS Experience (e.g., Greenhouse) and familiarity with HRIS platforms such as Workday
- Process mapping and systems improvement experience, with a track record of identifying inefficiencies and implementing solutions
- Experience handling confidential data with discretion, and a commitment to data governance best practices
- Collaborative team-player with a passion for Discord, gaming, and/or online communities or consumer-facing tech at scale
Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available.
The US base salary range for this full-time position is $152,000 to $171,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.
Why Discord?
Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away!
Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know.
Please see our Applicant and Candidate Privacy Policy for details regarding Discord’s collection and usage of personal information relating to the application and recruitment process by clicking HERE.
Ready to apply?
Apply to Discord
Senior Pricing and Monetization Manager
Share this job
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.
About the Role
Our Product Pricing & Monetization team sits at the intersection of product and commercial strategy, responsible for holistic pricing and packaging across Gusto's full product suite.
We're looking for a Senior Pricing and Monetization Manager to focus across our platform. portfolio including Gusto Payroll, Gusto Time management and HR, and our suite of embedded financial services for employers and employees. You'll collaborate closely with product, sales, marketing, data, engineering, and finance, with work that is visible to Gusto leadership.
What You'll Do
- Work in partnership across Product, Finance, Marketing, and Go-to-Market to review and recommend monetization and pricing strategies for new product launches and our existing portfolio.
- Be a world-class operator, owning and delivering on cross-functional projects and commercial go-to-market initiatives. In an AI-native environment, strategy, ownership, and execution goes broad. You will be asked to learn, adapt and grow your range of expertise.
- Help shift from a commercial strategy and operations function, to an AI-powered builder program. You’ll ship MVPs, Proof of Concepts, and pilots right into market.
- Decide, Build, and Monitor the key Pricing and Monetization KPIs across our product and go-to-market portfolio.
- Be the pricing and monetization expert and go-to-partner for Monetization and Commercial strategy.
- Work closely with key stakeholders such as: Product, Product Marketing, Sales, Data Science, and Finance. Products will have direct executive line-of-sight and direct impact to our product and business.
What We're Looking For
- Background in fintech, business banking, retirement, E-commerce, payroll, or HR back office SaaS
- Background in B2B / B2C Saas in Payroll, HR, Fintech, ECommerce or related field.
- An AI-native operator who can go from strategy to execution quickly, building Agents instead of processes. You’ll be an expert in Claude.ai, Claude Code, and Cursor.
- A strong analytical mindset with strong attention to detail and creative problem-solving ability. Able to use AI tools to conduct end-to-end technical data analysis.
- Executive relationship management and communication. You’ll be presenting and working on topics for our executives, board, and senior leaders across Gusto.
- Exceptional cross-functional stakeholder management and relationship-building skills. Your success will be defined by your ability to move a broad set of stakeholders towards a common goal.
- Clear, concise communicator, able to distill complex ideas for any audience
- Thrives in fast-moving environments; able to pivot quickly and manage competing priorities
- Curious, growth-oriented, and genuinely passionate about pricing
Nice to Have
- Experience developing and delivering pricing and go-to-market recommendations in product, marketing, finance, or consulting.
- Experience with technical pricing research, like conjoint or max diff analysis, or other quantitative research techniques.
- Expertise in technical data analysis skills, like SQL, Python or R. Expect underlying foundation coupled with ability to use AI to execute.
- Familiarity with the latest AI tools to help with coding or data analytics tools such as Claude, Cursor, Gumloop
Compensation
Our cash compensation amount for this role is targeted at $152,000 - $180,000/yr in Denver, Phoenix, and Atlanta, and $180,000 - $218,000/yr for San Francisco & New York. The salary range for Toronto is CAD 133,000 - 160,000. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.
#LI-Hybrid
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.
Strategic Business Performance, Central Strategy & Operations
Share this job
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team & role
Stripe is looking for a senior product strategist-operator to join the Strategic Business Performance (SBP) team. SBP is the "connective tissue" of Stripe. You will have a front-row seat to how the company operates and a direct hand in ensuring we hit our most important goals. If you are a technical strategist who loves to move fast and fix high-stakes problems, we’d love to hear from you.
SBP is a small, high-leverage group within Central Strategy & Operations at Stripe. Our mission is to create strategic clarity around Stripe’s performance. We work with partner teams to report on the business; dive into it to support and pressure-test our strategy, driving change wherever we find soft spots and enabling the success of other teams.
We are looking for someone who connects across data, financials and product & business strategy. and can unearth a signal in the noise and either fix the problem directly or convene the right people to fix it fast.
What you’ll do
In this role, you will work cross-functionally within our group and across Stripe’s technical and user-facing teams to solve problems and design workflows that benefit our users. Specifically:
- Own the "Signal": You will define and maintain the metrics that actually matter for in-year performance. You’ll develop a "morning read" discipline—a curated, high-signal view of the business that drives immediate action, moving far beyond standard dashboarding.
- Deep-Dive Interventions: You will lead "surge" projects to diagnose and unblock critical goals at risk. You aren't just identifying problems; you are staying in the arena until the trajectory has measurably changed.
- Bridge Product & Strategy: You will translate long-horizon corporate theses into in-year operational reality. You’ll take ambiguous opportunities that cut across product, risk, and marketing and decompose them into structured workstreams.
- Synthesize for Leadership: You’ll think ahead of our executive team, preparing CEO/COO-level materials that translate unstructured signals into structured diagnoses they can act on.
- Pressure-test our Assumptions: You’ll work closely with Corporate Strategy and Product teams to identify gaps between our external market forces and our internal execution.
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 12+ years of experience in product/data analytics within product organizations or strategic business performance teams at high-growth tech companies.
- Experience in Product Strategy, Product Management, or GM-style roles where you owned a P&L or a specific business outcome.
- Deeply curious about business models and data, probing into signals, understanding trends and customer usage patterns to uncover novel insights
- A proven track record of directly driving business growth through analytical insights and execution.
- Apply AI to enhance decision-making and operational efficiency, know when and how to use the right AI tools to move faster without sacrificing rigor or quality.
- Strong product sense and the ability to understand the technical mechanics of how software products are built and scaled.
- Experience navigating ambiguous, cross-functional problems and leading high-stakes interventions with senior stakeholders.
- Prior experience with fintech products or complex financial systems is a plus, but not required.
- Experience facilitating senior leadership/ stakeholder meetings to drive meaningful conversations regarding Stripe’s business performance.
Preferred qualifications
- Payments ecosystem, or experience in finance or fintech is a plus
- Ability to build trust and partner with senior leaders and CXOs
- Technical proficiency in SQL / Python / R and data analysis; ability to self-serve and perform independent deep-dives into complex datasets.
- Experience driving creative solutions with and effectively informing the roadmap of cross-functional teams
- Ability to understand the implications of Stripe ships such as product features, policy changes, and marketing outreach on the user experience and resulting support experience
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
What you’ll do
Responsibilities
- Conceptualize and execute risk strategies for Stripe’s rapidly growing merchant portfolio by harnessing deep subject matter expertise in risk management
- Leverage SQL skills to drive quantitative analysis and data visualizations
- Quantify the impact to Stripe’s direct profit and losses for each recommended strategy
- Provide recommendations to create new or optimize existing portfolios of risk models and/or policies by managing multiple risk programs that require cross functional collaboration with engineering and non-engineering teams
- Diagnose and mitigate high-risk payment incidents (e.g. non-compliance with financial partner requirements), emerging policy trends, and exploits as a result of new product launches
- Develop deep understanding of Stripe’s growing suite of products to formulate risk requirements and assess overall risk posture prior to launching new products to market
- Represent Stripe during financial partner audits and oversight visits. Distill Stripe’s most complex risk systems into highly digestible and easily understood concepts for auditors.
Who you are
Minimum requirements
- Must have a Bachelor's degree or foreign equivalent in Business Administration, Economics, Information Systems, or a related field, plus 5 years of post-bachelor’s, progressive related experience in a Financial Risk Specialist or related occupation.
- 3 years of experience working with, aggregating, and running analysis on large data sets, including utilizing SQL and common BI tools (e.g. Tableau)
- 3 years of experience managing external relationships with financial institutions, users, and law enforcement;
- 3 years of experience leading cross-functional initiatives with engineering, operations, external partners, etc. to develop and implement robust fraud controls;
- 3 years of experience working with product teams as a risk subject-matter expert/advisor in fraud management to ensure products can be launched and scaled safely; and,
- 3 years of experience identifying and defining problems, building project plans to address these problems, and managing the implementation of their solutions.
Salary: $185,286 - $229,100/yr.
This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.
40 hrs/week
50% Telecommuting Permitted.
Multiple Positions Available.
Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.CA02
#LI-DNI
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
The Stripe Accounting Team is responsible for supporting all products at Stripe, consulting on accounting implications, and supporting teams' ability to make informed strategic decisions. We are responsible for the accurate and timely recording of all business-generated transactions on our balance sheet and income statement. We operate in a fast-paced environment and collaborate significantly with cross-functional and international teams.
What you’ll do
Stripe is seeking an experienced accountant to join our world-class accounting team. In this role you will support revenue and cost accounting for products developed by our Bridge subsidiary, leveraging your technical expertise with US GAAP, specifically ASC 606, to quickly identify accounting implications and impacts to customers while advising and collaborating with team members cross-functionally to develop operational processes that help us scale. Ideally you will have both public accounting and industry experience in tech or financial services, as well as experience working for companies with a high volume of complex transactions and issues.
Responsibilities
- Own P&L accounting for Bridge’s products, including journal entries, reconciliations, variance analyses, financial reporting deliverables, and analytical reviews
- Partner closely with Bridge’s product, go-to-market, and finance partners to thoroughly understand new products, features, and contracts, and advise on accounting implications
- Partner with internal systems and engineering teams to support internal financial systems and automation of accounting processes
- Research and prepare technical accounting analyses
- Assess the effectiveness of internal controls, and design new processes and controls for emerging and growing business activities
- Identify, recommend and implement scalable accounting processes to support global growth at Bridge
- Understand data and system flows, analyzing financial results to identify and address anomalies.
- Support external audit processes
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 7+ years of relevant public accounting and/or industry experience
- Experience accounting for cryptocurrencies, including stablecoins
- Experience with SQL
- B.A. or B.S degree in Accounting or Finance (CPA strongly preferred)
- Fluency in U.S. GAAP and ability to research complex accounting issues
- Proven track record of managing high volumes of complex transactions and financial issues
- Excellent analytical, problem-solving, and communication skills, with the ability to convey financial concepts to both financial and non-financial audiences
- Ability to work collaboratively across teams and influence stakeholders
- Demonstrated experience partnering with cross-functional stakeholders
- Demonstrated history of taking on various types of challenging projects and producing results, with excellent attention to detail
- Solution-oriented mindset with enthusiasm for establishing best practices, and challenging existing processes to identify improvement opportunities
Preferred qualifications
- Knowledge of (or experience in) the technology or payments industry
Ready to apply?
Apply to Stripe
Finance and Strategy Partner
Share this job
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
The Finance & Strategy team is an integral thought partner to Stripe’s core functional leaders. We bring understanding and predictability to Stripe’s bottom line financials. We work cross functionally across many surfaces at Stripe and help steward Stripe’s resource investments to improve the durability of our long term financial performance.
What you’ll do
We're looking for a Finance & Strategy Partner to join our growing team. This individual will help us with the forecasting budgeting and reporting for various departments accurately and in a timely manner and deliver improvements in our integrated financial systems with business partners, financial colleagues, and engineers.
Responsibilities
- Partner closely with business leaders to drive successful outcomes
- Leverage your financial background to support and influence key strategic and business decisions
- Be your business teams’ financial partner for analysis and evaluation of strategic projects and initiatives (e.g. foundational investments or business model shifts)
- Design and provide analytical rigor to measure efficiency and ROI of investments in headcount and non-headcount expenses
- Drive reporting, process and discipline for finance routines to shape and influence decision-making (e.g. budget, forecast, monthly reviews, long-range plans)
- Build and own models for in-depth analyses, as well as ensure their quality, timeliness, and accuracy
- Define metrics and leading indicators of business performance
- Partner with cross functional teams, such as Data Science, to develop reporting dashboards, forecast
- Drive continuous process improvement, standardization, simplification and reporting enhancements.
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 7-9 years of relevant experience in strategic finance or FP&A
- A keen analytical eye and experience building integrated models from scratch (in Excel or other planning applications)
- Experience driving and executing on finance processes (e.g. budget, forecast reviews, negotiations)
- A proven ability to build strong collaborative working relationships with business partners
- A proven ability to be a self starter capable of driving business results without significant supervision
- The ability to maintain high performance under tight timelines and a “roll up your sleeves” mindset to get any job done
- The ability to bring structure to ambiguous areas of opportunity and thrive in an unstructured, fast-moving environment
- Excellent communication and organizational skills, both written and verbal.
- Excellent problem-solving skills and demonstrated ability to work independently, analyze problems and data sets to make complex investigation decisions
- Strong knowledge of GSuite tools, Salesforce and MS-Office products and experience working with/analyzing large data sets.
- Independently extract, analyze and evaluate information from various data sources through proficiency in SQL
- Demonstrated experience partnering with cross-functional stakeholders
- Demonstrated history of taking on various types of challenging projects and producing results
- Solution-oriented mindset with enthusiasm for establishing best practices
- Self-disciplined, diligent, proactive and detail oriented
You will also likely have (not required):
- Experience working at a high-growth technology or financial services company
- Experience managing headcount and operating expenses
- Experience supporting Go-to-Market, Money Management, and/or Corporate Finance
- Oracle, Anaplan, Tableau or other equivalent application experience
- Experience with Python or a willingness to learn
- Experience in data visualization and dashboarding
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Before Stripe, every growing internet platform had a payments team. Today, every growing internet platform has an Identity team. Identity verification has become core economic infrastructure for online businesses — enabling them to digitally verify their users' identities for fraud prevention, regulatory compliance, and trust and safety purposes.
At Stripe, we're building something more ambitious than a verification product. Our vision is to build the world's most trusted store of verified identities — a single, global, reusable, risk-scored representation of every individual who interacts with Stripe and beyond. This Identity Store becomes a platform with compounding network effects: more verifications enrich the store; a richer store produces better fraud signals; better signals mean lower friction for trusted users; lower friction drives more adoption.
Our product today serves millions of verifications per month for customers like OpenAI, Shopify, and WhatNot, and powers identity verification across multiple internal Stripe products including Fraud, Link, Connect, and Crypto. The problems ahead — adversarial AI and deepfake defense, networked identity infrastructure, progressive verification platforms, and low friction KYC APIs — sit at the frontier of what's possible in identity engineering.
What you’ll do
As a Staff Engineer on the Identity team, you will own the technical direction of one of Stripe's most strategically important product areas. This is not a role defined by task execution — it's a role defined by technical judgment, architectural influence, and the ability to turn an ambitious vision into a reliable, scalable system.
Responsibilities
- Own technical strategy — Define the architecture for Identity's core systems (Identity Store, headless verification platform, fraud detection infrastructure), make build-vs-buy-vs-partner decisions, and surface technical risks before they become customer-facing failures
- Lead 0-1 platform development — Architect net-new systems including the Identity Store, Networked Identity platform, and advanced fraud detection pipeline (behavioral biometrics, deepfake discriminators, adversarial training). Drive the evolution from a hosted-UI product to a headless-API and embedded-components platform
- Drive cross-functional alignment — Be the primary technical voice in roadmap and resourcing discussions. Partner with ML, product, legal, and engineering leads across Risk, Fraud, Link, Connect, and Crypto to ensure Identity's abstractions serve the full breadth of Stripe's product surface
- Raise the technical bar — Set engineering standards across ML, backend, mobile, and front-end; lead design reviews; and mentor senior engineers on the judgment needed to operate a high-stakes, externally-facing product
- Operate with ownership — Be accountable for reliability, scalability, and security of the systems you design — including the observability and alerting that catch model drift and fraud pattern shifts before customers do
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 10+ years of software engineering experience, including 5+ years of experience in a strategic technical leadership role.
- Experience leading engineering team(s) working on API design, abstractions, frameworks, or client libraries (e.g. building internal or external developer products).
- Proven track record of delivering pragmatic solutions that accelerate business growth
- Ability to adjust conversations from high-level discussions to detailed coding
- Thrives on a high level of autonomy and responsibility
- Clear and persuasive writing and in-person communication
- Strong problem-solving skills, critical thinking, determination, and a growth mindset
- Ability to work effectively with a diverse group of people, genuinely caring for each other and contributing to high level of psychological safety for all team members and partner
- Has experience in a range of software languages and frameworks. Examples of what we work with include:
- Languages: primarily Ruby and Typescript, but also Python, Scala, Java, Go, and SQL (Spark and Trino dialects)
- Frameworks: React, GraphQL Kafka, Protobuf, Airflow, Bazel, Temporal,
- Others: Mongo, Splunk, Prometheus
Preferred qualifications
- Experience with identity verification, fraud detection, or trust and safety systems — especially systems with adversarial inputs at scale
- Familiarity with ML systems in production: model serving, training pipelines, observability, drift detection, and the feedback loops that keep models accurate under adversarial conditions
- Experience building platform products with multiple consumer types — internal platform teams and external developers — where API backward compatibility and abstraction quality are first-class concerns
- Prior experience with 0-1 product builds: you've started with a blank page and ended with a production system, and you have clear opinions about what makes that process go well or poorly
- Exposure to the technical stack we work with: primarily Ruby and TypeScript on the backend and web, Python for ML and data pipelines, with infrastructure spanning Kafka, Temporal, Protobuf, React, and distributed data stores
- Experience navigating ambiguity in a fast-moving organization — you can make confident technical decisions with incomplete information and update gracefully when new constraints emerge
Why Stripe Identity
- The market is at an inflection point. The global identity verification market is growing at ~15% CAGR, from $12.5B in 2024 to $21.8B by 2028. Competitors have more features today — but none of them have Stripe's moat: payments signals, fraud network, consumer graph, and KYC data spanning the full financial ecosystem. We're building to win the next decade, not the last one.
- The problems are genuinely hard. Adversarial ML against deepfakes and face swaps. Distributed identity graph architecture with real-time freshness requirements. Progressive verification APIs that minimize friction without sacrificing fraud detection accuracy. These are unsolved problems — not just at Stripe, but in the industry.
- You'll work on systems that matter immediately. The verifications we run protect real users from real fraud. When our recall improves by 10 points, that's millions of dollars in prevented fraud losses for customers who rely on us. When our mobile SDK completion rate rises, thousands more legitimate users successfully onboard each month.
- The team is small enough that your judgment shapes the architecture. This isn't a role where you inherit decisions made five years ago. It's a role where the decisions you make in 2026 are the ones the team will build on through 2029.
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
Bridge is creating an entirely new payments platform, built with stablecoins, to simplify global money movement. Bridge enables faster, cheaper payments and borderless access to dollars via stablecoins. Through our APIs, businesses can send and receive funds across borders faster / cheaper vs. SWIFT and other fiat-only rails. Our virtual accounts enable international consumers and businesses to easily access, store and spend US dollars. Our payouts infrastructure enables platforms to disburse USD to anyone globally. We believe many trillions of dollars will move and settle through stablecoin payment rails. Bridge is pulling this future forward.
About the team
The Stripe Finance & Strategy team is an integral thought partner to Stripe’s core functional leaders. We bring understanding and predictability to Stripe’s bottom line financials. We work cross functionally across many surfaces at Stripe and help steward Stripe’s resource investments to improve the durability of our long term financial performance. This role will partner closely with Bridge, a small team of people experienced in building financial infrastructure at leading companies.
What you’ll do
We are looking for a Strategic Finance Partner who combines the rigor of a trained financial analyst with the technical self-sufficiency to answer complex business questions independently. This is a high-ownership, high-exposure role. You will own business forecasting, pricing analytics, and cross-functional partnerships that drive how Bridge allocates capital, sets prices, and grows.
This is an early and consequential moment to join the finance function. You will be among the first finance hires in the organization and will have broad exposure across Bridge and Stripe leadership.
Responsibilities
- Forecasting & Reporting. Own full P&L reporting, forecasting, and budgeting — with an emphasis on revenue, unit economics, and the stablecoin payment flows that drive Bridge's business.
- Pricing & Deal Modeling. Lead pricing strategy across Bridge's product suite. Build models to evaluate pricing for enterprise deals, key accounts, and new product initiatives. Translate complex stablecoin transaction economics into pricing decisions that are both competitive and financially sound.
- Strategic Financial Analysis. Partner with business leaders across Bridge to analyze the financial impact of strategic initiatives, understand their business questions and deliver analytical frameworks that drive real decisions.
- Metrics & Analytics. Partner with Bridge's data science team to define, build, and maintain the key business and operational metrics that measure Bridge's growth and efficiency. You own the financial lens on this work.
- Data & SQL Ownership. Write and maintain complex SQL queries and views to support P&L reporting, forecasting, and ad-hoc financial analysis. Work with engineering to ensure accuracy of financial metrics. Bridge has built strong infrastructure in Metabase and Databricks — you leverage it and go beyond it independently, without filing tickets and waiting.
- Stripe Finance Partnership. Integrate Bridge financials into broader Stripe company financial reporting and forecasting. Evolve the finance partnership and reporting structure as Bridge and Stripe develop joint product initiatives.
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 7+ years in strategic finance, FP&A, investment banking, private equity, consulting, or analytical business operations. We care about the rigor of your training, not the specific industry.
- Strong financial modeling fundamentals — you build 3-statement models, unit economics frameworks, and cohort analyses from a blank spreadsheet. You understand the assumptions behind the numbers, not just the formulas.
- Genuine SQL proficiency. You write your own queries when the dashboard doesn't have what you need. Experience building data tables in Databricks or similar environments is a strong plus.
- A demonstrated track record of cross-functional partnership — you have sat with non-finance leaders, understood the actual problem they were trying to solve, and built something that improved their decision-making.
- Intellectual curiosity and drive. Stablecoin payments infrastructure is genuinely complex. We need someone who will spend real time understanding how the business works — the settlement flows, the transaction economics, the cross-border mechanics — not skim the surface.
- Self-directed, organized, and a strong communicator. You own your outcomes.
- High performance under tight timelines. A roll-up-your-sleeves, get-it-done mentality that fits a small team building something new.
Preferred qualifications
- Prior experience in fintech, payments, or crypto — particularly in transaction-based or stablecoin business models.
- Familiarity with Databricks, dbt, Looker, or Metabase.
- Experience in a first-finance-hire or early-stage company context.
- Exposure to enterprise deal structuring or pricing in a payments or API-product business.
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
In this role, you’d be joining the Professional Services team. Our team’s mission is to empower every Stripe user to achieve maximum value from their investment quickly and confidently. Our team helps Stripe increase the GDP of the internet by supporting the success of our large, intricate Stripe implementations. This involves guiding users through their integration process, project planning, coordinating with stakeholders, handling deliverables, meeting key timelines, and educating our users about the maximum potential they can achieve with Stripe.
As an Implementation Consultant at Stripe, you are the driving force behind these strategic implementations. Your role is key in leading them through the integration process, turning them into long-term transacting Stripe users. Our team’s core objective is to provide an efficient, seamless transition for our clients, assuring top-notch user satisfaction and relationship management.
What you’ll do
As an Implementation Consultant, you will be managing the full onboarding cycle for mid-market and enterprise companies from contract signing through launch. You will proactively develop and manage integration architecture, change management strategy, and timelines. You will be expected to collaborate across departments, including Sales, Technical Services, Product, and
Responsibilities
- Own the full onboarding cycle for users from contract signing through launch.
- Develop, manage, and implement a customer’s integration architecture, change management strategy, and timeline.
- Partner with other Sales and Technical Services teams to improve the overall Stripe user journey.
- Engage with Product and Engineering teams to help drive product strategy for large users.
- Collaborate with teammates on strategic projects that improve and scale our implementation process and team operations.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 2+ years of experience working with strategic customers on technology solutions, with a track record of top performance
- Ability to understand complex business requirements and craft tailored solutions
- Quick learner with the ability to explain technical concepts to Stripe’s largest customers
- Proven project management skills and strong critical thinking abilities
- Experience identifying and solving internal process inefficiencies
- Superior verbal and written communication skills
- Ability to operate independently in a highly ambiguous and fast-paced environment
Preferred qualifications
- Prior experience at a growth stage Internet/software company
- Experience in the payments industry
- Knowledge of APIs
- Knowledge of SQL
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
The Finance & Strategy team is an integral thought partner to Stripe’s core functional leaders. We bring understanding and predictability to Stripe’s bottom line financials. We work cross functionally across many surfaces at Stripe and help steward Stripe’s resource investments to improve the durability of our long term financial performance.
What you’ll do
We're looking for a F&S Analyst to join our growing teams on the Go-to-Market (GTM) and Partnerships teams. This individual will help us with the forecasting budgeting and reporting for various departments accurately and in a timely manner and deliver improvements in our integrated financial systems with business partners, financial colleagues, and engineers.
Responsibilities
- Leverage your financial background to support and influence key strategic and business decisions
- Design and provide analytical rigor to measure efficiency and ROI of investments in headcount and non-headcount expenses
- Drive reporting, process and discipline for finance routines to shape and influence decision-making (e.g. budget, forecast, monthly reviews, long-range plans)
- Build and own models for in-depth analyses, as well as ensure their quality, timeliness, and accuracy
- Define metrics and leading indicators of business performance
- Partner with cross functional teams, such as Data Science, to develop reporting dashboards
- Drive continuous process improvement, standardization, simplification and reporting enhancements.
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 4-6 years of relevant experience in strategic finance or FP&A
- A keen analytical eye and experience building integrated models from scratch (in Excel, or other planning applications)
- Experience driving and executing on finance processes (e.g. budget, forecast reviews, negotiations)
- A proven ability to build strong collaborative working relationships with business partners
- A proven ability to be a self starter capable of driving business results without significant supervision
- The ability to maintain high performance under tight timelines and a “roll up your sleeves” mindset to get any job done
- The ability to bring structure to ambiguous areas of opportunity and thrive in an unstructured, fast-moving environment
- Excellent communication and organizational skills, both written and verbal.
- Excellent problem-solving skills and demonstrated ability to work independently, analyze problems and data sets to make complex investigation decisions
- Strong knowledge of GSuite tools, Salesforce and MS-Office products and experience working with/analyzing contracts and large data sets using SQL.
- Independently analyze and evaluate information from various data sources to determine a course of action for a matched case
- Demonstrated experience partnering with cross-functional stakeholders
- Demonstrated history of taking on various types of challenging projects and producing results
- Solution-oriented mindset with enthusiasm for establishing best practices
- Self-disciplined, diligent, proactive and detail oriented
Preferred qualifications
- Experience working at a high-growth technology or financial services company
- Experience managing headcount and operating expenses
- Experience supporting Go-to-Market, Investment Banking, and/or Product Functions
- Oracle, Anaplan, Tableau or other equivalent application experience
- Experience with Python or a willingness to learn
- Experience in data visualization and dashboarding
Ready to apply?
Apply to Stripe
Head of Central GTM Finance & Strategy
Share this job
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
The Finance & Strategy team is an integral thought partner to Stripe’s core functional leaders. We bring understanding and predictability to Stripe’s bottom line financials. We work cross functionally across many surfaces at Stripe and help steward Stripe’s resource investments to improve the durability of our long term financial performance.
What you’ll do
We’re hiring a seasoned finance leader to run Central GTM Finance & Strategy on the GTM F&S team. You will lead global planning, consolidation, metrics & analytics, and strategic initiatives that scale GTM finance operations. This role partners closely with Global Sales leadership to guide go-to-market strategy, improve forecasting accuracy, optimize investments, and accelerate enterprise growth as Stripe expands internationally.
Responsibilities
- Lead and develop a team of eight finance professionals supporting Global Sales; deliver insights across user-level performance, sales productivity, pipeline conversion, quota attainment, and strategic account planning to support recurring business reporting cadences.
- Provide finance leadership for global sales support functions including Solution Architecture, Customer Success, Renewals, and GTM Operations.
- Own global forecasting, planning, and budgeting for Sales; surface actionable insights that inform investment decisions and drive sales efficiency.
- Define and maintain key business metrics and KPIs to monitor health and proactively flag risks and opportunities.
- Use data-driven analysis to diagnose performance, recommend actions to accelerate revenue growth and margins, and optimize investments.
- Partner with Sales, Sales Operations & Strategy, and Marketing to evaluate ROI of GTM initiatives and customer acquisition strategies.
- Build dynamic financial and operating models to assess new sales motions, pricing changes, large enterprise deals, and regional expansion scenarios.
- Work with leadership to create long-range planning models that align team strategy with GTM and company priorities.
- Design, scale, and implement reporting and dashboards that track funnel metrics and primary investment drivers.
- Independently run complex SQL queries and perform hands-on analysis of raw data to validate models, uncover root causes, and produce actionable insights.
- Leverage AI and generative tools to speed analysis, automate repetitive tasks, surface insights, and synthesize recommendations.
- Drive process automation and data streamlining to improve reporting accuracy and decision velocity.
- Contribute to quarterly business reviews and long-range planning with scenario analysis and strategic recommendations.
- Translate complex financial and sales data into clear, concise narratives for executive audiences.
Who you are
You’re an analytical, execution-oriented finance leader with strong business acumen and a passion for GTM strategy. You thrive in fast-moving, ambiguous environments and balance strategic thinking with hands-on work. If you want to help Stripe scale its enterprise footprint and drive decisions through data, we want to hear from you.
Minimum requirements
- 10+ years in FP&A, Strategic Finance, or GTM Finance supporting enterprise sales teams.
- Proven ability to analyze pipeline health, forecast revenue, and model user and sales dynamics in complex B2B settings.
- Track record of partnering with senior GTM leaders and influencing decisions through financial insight.
- Strong financial modeling experience and familiarity with large, multi-variable planning tools.
- Proficiency in SQL to independently query and manipulate complex datasets.
- Analytical fluency at scale; comfortable working directly with large, complex datasets (not just financial models) to independently validate outputs, diagnose root causes, and drive conclusions in close partnership with Engineering, Data Science, and Analytics teams.
- Ability to navigate ambiguous, evolving data environments; experience identifying non-obvious data pitfalls, understanding how data flows across systems, and building reliable analyses in settings where infrastructure and tooling are still maturing.
- Minimum 3 years of people management experience with success leading high-performing finance teams.
- Excellent communication and presentation skills; ability to distill complex concepts into clear, actionable insights.
- Comfortable operating in fast-paced, ambiguous environments; able to balance strategy with tactical execution.
Preferred qualifications
- Experience working at a high-growth technology or financial services company
- Anaplan, Tableau or other equivalent application experience
- Advanced SQL skills
- Experience in data visualization and dashboarding
Ready to apply?
Apply to Stripe
Accounting Technical Solutions Lead
Share this job
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
The Accounting Team is responsible for understanding and telling Stripe’s financial story and shaping our collective understanding of how Stripe is performing as a business. Our primary focus is maintaining a well-controlled environment that effectively supports corporate governance, financial reporting and disclosure requirements. We advise and enable Stripe to grow – supporting all products at Stripe, consulting on accounting implications and supporting teams’ ability to make informed strategic decisions. We operate in a fast-paced environment and collaborate significantly with cross-functional and international teams.
What you’ll do
Our Accounting team is seeking an innovative embedded technical resource to help us scale for the future, in a fast-paced environment that’s growing rapidly. You’ll leverage your accounting, artificial intelligence (AI), and technical expertise to build intelligent solutions that enhance Stripe’s accounting capabilities. You’ll develop AI-powered tools and models, autonomous agents, and data products that automate complex workflows and provide actionable insights within a framework of financial reporting control. Working at the intersection of artificial intelligence, accounting, and product development, you'll collaborate with engineering and finance teams to deploy cutting-edge AI applications that scale with Stripe's growth and support our mission of increasing the GDP of the internet.
Responsibilities
- Apply your accounting and finance domain expertise to identify, explore, and prototype high-impact opportunities where AI can solve complex accounting challenges
- Build using AI-powered tools and artificial intelligence solutions to automate accounting workflows, enhance controllership, and scale our operations
- Design and deploy autonomous AI agents using frameworks that can reason, plan, and execute complex multi-step problems and enhance decision-making processes through understanding risk and maintaining effective financial reporting controls.
- Ship and maintain interactive data products and self-service analytics tools using SQL and Python frameworks (data visualization and dashboards, low-code application building frameworks) that provide real-time insights and actionable intelligence
- Work across Accounting and partner teams to uncover efficiency opportunities, including AI use cases, document requirements, and translate complex financial workflows into well controlled technical solutions
- Partner with Accounting and SOX teams to assess and develop an effective internal controls approach to AI-based accounting solutions
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 10+ years of relevant experience, with at least 4+ years of experience in accounting related or adjacent roles (e.g. finance systems, process improvement)
- B.A. or B.S degree in Accounting, Finance, Finance Systems or Information Systems
- Fluency in U.S. GAAP
- Advanced proficiency in SQL, including writing complex queries, using CTEs (common table expressions), window functions, and joins for data analysis and pipeline logic
- Familiarity with modern data tools (Python, Databricks, ETL/ELT processes, data pipelines) and coding with AI assistance
- Comprehensive understanding of AI fundamentals and experience with emerging AI/LLM tools, conversational interfaces, prompt engineering, or automation platforms and RPA
- Solution and results-oriented, with a focus on delivering impact in a fast-paced environment
- Excellent communication and organizational skills, both written and verbal, with the ability to convey financial concepts to both financial and non-financial audiences
- Experience with internal controls (design, implementation and execution)
Preferred qualifications
- Familiarity with the payments industry and fintech landscape
Ready to apply?
Apply to Stripe
Payments Performance Strategist, PINless Debit
Share this job
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
The Global Payments Performance Team identifies payment optimization opportunities for Stripe’s merchants. We serve a critical role both in demonstrating thought leadership on challenging payment topics, and also partnering with our high-potential merchants to set them up for long term success. We want a partnership with Stripe to be a competitive advantage for our customers, large and small, by providing them with best-in-class technology in concert with insightful and specific advice on how to harness this technology to achieve their business goals.
What you’ll do
The Global Payments Performance team will be responsible for leading data-driven discussions with existing and prospective merchants on optimization strategies across a variety of areas including, card network costs, acceptance, fraud, and cross-border flows to start. You will be instrumental in building our optimisation narratives/tools and delivering on our merchant engagement model. You will also collaborate with Sales, deploying your knowledge to differentiate Stripe to win deals, and partner with our Customer Success organization to ensure that merchants are successful working with Stripe.
Responsibilities
- Advise customers on usage of Stripe’s PINless debit offering
- Design and collaborate on PINless debit experiments alongside Stripe’s Data Science, and own experiment result analysis and customer facing readouts of analysis
- Serve as an internal expert on Stripe’s PINLess debit offering, relaying customer feedback to Product with the goal of shaping Stripe’s roadmap and strategy for PINless debit
- Lead discussions with existing and prospective merchants, and provide the Sales team with tools and training to lead discussions with merchants and prospects.
- Serve as both an internal and merchant-facing expert on payment optimisation strategies.
- Gather and build on Stripe’s wide-ranging payments expertise to create optimisation narratives/tools supported by rigorous analysis.
- Use existing tools to deploy sophisticated optimization playbooks and analyses across Stripe’s customer portfolio.
- Synthesise and relay customer feedback and our findings to inform Stripe’s product roadmap.
- Provide feedback on our tools and playbooks to help continuously improve our self serve offerings
- Develop optimization playbooks and stay updated on industry best practices and Stripe innovations
Who you are
Minimum requirements
- 10+ years of experience in payments at a leading technology company, or consultancy in the payments industry.
- Deep expertise in PINless debit
- Understanding of e-commerce payments, cards based payments processing and optimization strategies, with a strong focus on PINless debit.
- Understanding of PINless debit regulations
- The ability to deal effectively with ambiguity and thrive in an unstructured, fast-moving environment.
- A proven ability to be a self-starter capable of driving business results without significant supervision.
- Experience presenting directly to merchants
- Strong data processing, organizational and analytical skills.
Preferred qualifications
- Experience with designing and administering A/B tests, SQL, dashboard building, modeling, or reporting
- Experience presenting to senior business leaders
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
The Finance & Strategy team is an integral thought partner to Stripe’s core functional leaders. We bring understanding and predictability to Stripe’s bottom line financials. We work cross functionally across many surfaces at Stripe and help steward Stripe’s resource investments to improve the durability of our long term financial performance.
What you’ll do
You will partner directly with Stripe’s Growth organization, playing a pivotal role in shaping self-serve strategy and driving self-serve revenue across our global customer base. As a trusted advisor to Growth, Product, and Marketing leadership, you will use data and financial insights to improve forecasting accuracy, inform investment decisions, and optimize our self-serve business. Your work will directly support Stripe’s next phase of growth by accelerating efficient customer acquisition, activation, and expansion across all segments.
Responsibilities
- Lead strategic finance support for the Growth organization, partnering closely with Growth, Product, Data Science, the CMO, and Product Finance.
- Develop a deep understanding of the self-serve funnel (acquisition, activation, conversion, retention, expansion) and provide actionable insights that inform both Product and Growth strategy.
- Own forecasting and planning processes for Self-serve revenue across all segments, regions, and products; provide clear visibility into drivers of growth and performance against plan.
- Build and maintain robust financial models that connect marketing demand generation, growth investments, product or pricing changes, and external drivers to revenue outcomes, enabling high-quality scenario planning and decision-making.
- Assess ROI of growth initiatives and other customer acquisition investments, ensuring capital is deployed effectively to maximize long-term value.
- Identify and drive opportunities for process automation, data standardization, and improved data infrastructure in partnership with Data Science to increase reporting accuracy and decision velocity.
- Translate complex financial, product, and growth data into clear narratives for executive audiences.
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 10+ years of experience in FP&A, Growth Finance, or Strategic Finance roles
- B.A. or B.S degree in related field
- Demonstrated ability to forecast revenue, and model funnel dynamics in complex B2B environments
- Proven track record of partnering with senior GTM and Product leaders, and influencing business decisions through financial insight
- Strong financial modeling skills and experience with large, multi-variable planning tools
- Some SQL skills to independently access and manipulate complex datasets
- Excellent communication and presentation skills, with the ability to distill complex concepts into clear, actionable insights
- Comfortable operating in fast-paced, ambiguous environments and balancing strategic thinking with hands-on execution
Preferred qualifications
- Experience working at a high-growth technology or financial services company
- Anaplan, Tableau or other equivalent application experience
- Advanced SQL skills
- Experience in data visualization and dashboarding
Ready to apply?
Apply to Stripe
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
The Accounting Team is responsible for understanding and telling Stripe’s financial story and shaping our collective understanding of how Stripe is performing as a business. Our primary focus is maintaining a well-controlled environment that effectively supports corporate governance, financial reporting and disclosure requirements. We advise and enable Stripe to grow. We operate in a fast-paced environment and collaborate significantly with cross-functional and international teams.
What you’ll do
In this role, you will own key corporate accounting areas and processes which support the recognition and reporting of financial results. You will collaborate significantly with various stakeholders across finance, people, legal, product, and engineering teams to understand and advise on accounting treatment of underlying business initiatives and transactions. Other responsibilities include reconciling balance sheets and P&L accounts, and providing supplementary financial information for internal and external reports. You will implement and maintain effective control environments.
Responsibilities
- Plan and perform monthly and quarterly close activities, including balance sheet reconciliations, variance analyses and analytical reviews, producing internal management reporting and external audit support
- Research and prepare technical accounting analyses for new accounting pronouncements and/or business initiatives
- Develop and maintain accounting policies and procedural documentation
- Analyze financial performance, identify trends, and provide clear variance explanations to key stakeholders.
- Participate in building scalable accounting processes to support global growth, including developing accounting requirements to enable automation of accounting procedures
- Assist in design, implementation and execution of effective internal control procedures
- Partner with Product, Systems, Treasury, Tax, People and Legal to support internal financial systems process improvements and automation
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 6+ years of relevant public accounting and/or industry experience
- B.A. or B.S degree in Accounting or Finance (CPA strongly preferred)
- Fluency in U.S. GAAP and ability to research complex accounting topics
- Excellent communication and organizational skills, both written and verbal
- Strong knowledge of Excel and experience working with large data
- Demonstrated experience partnering with cross-functional stakeholders
- Experience with internal controls (design, implementation and execution)
- Demonstrated history of taking on various types of challenging projects and producing results
- Solution-oriented mindset with enthusiasm for establishing best practices
Preferred qualifications
- Knowledge of (or experience in) the technology or payments industry
- SQL experience
Ready to apply?
Apply to Stripe
Head of Connect & Crypto, Finance & Strategy
Share this job
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
The Finance & Strategy team is a key thought partner to Stripe’s product leaders. We bring financial rigor, strategic clarity, and analytical depth to the decisions that shape Stripe’s product portfolio and long-term growth strategy.
The Connect & Crypto F&S team sits at the intersection of two dynamic and high growth product areas. Connect is a scaled and complex product that powers Stripe Platform and Marketplace ecosystems. Crypto is a newer product area with rapidly evolving market dynamics focused on stablecoin markets. Together, these products require a finance leader who can operate across different stages of maturity, bring structure to complexity, and drive financial outcomes in an ambiguous environment.
What you’ll do
We're seeking a seasoned finance leader to lead our Connect and Crypto F&S team. You’ll partner with the heads of product for Connect and Crypto, acting as a trusted financial and strategic advisor. You’ll lead a team that delivers the revenue forecasting, pricing and unit economic analysis, investment frameworks and strategic insights that enable these products to scale. You’ll translate complex financial analysis into clear insights for senior leadership. You’ll build the analytical infrastructure, including leveraging AI and tooling, to ensure this team best-in-class financial insights and analysis.
Responsibilities
- Own revenue forecasting and performance management across Connect and Crypto, including volume trends and unit economics. Develop and maintain integrated financial models that reflect underlying product drivers.
- Establish and maintain key business metrics and KPIs to measure performance of new and existing products. Present performance in business forums, highlighting drivers, risks and actionable insights.
- Drive strategy and decision-making by bringing rigorous financial analysis and product and industry expertise to help product leaders evaluate tradeoffs and shape strategic roadmaps.
- Lead the quarterly forecast and annual strategic financial planning process. Develop long range financial models with scenario analysis and actionable recommendations on growth, monetization and where to prioritize investments.
- Serve as a key contributor to key business reviews and leadership forums, translating complex product economics into clear insights for executive audiences.
- Build, lead and develop a high performing team of finance & strategy partners. Align and scale the team to support product growth.
- Drive process improvement and analytics scalability, partnering cross-functionally to evolve data infrastructure, reporting and analytics. Identify opportunities to leverage AI and automation to enable the team to operate at the leading edge of financial analysis.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 12+ years of relevant experience in product finance, strategic finance or FP&A, preferably at a high growth payments, fintech, marketplace/platform, or enterprise SaaS business
- Deep experience in revenue-oriented financial modeling (e.g. pricing analysis, unit economics, volume/take-rate forecasting, deal economics) with the ability to architect complex, integrated models
- A proven track record of partnering with senior product or business leaders, translating complex financial data into clear and compelling narratives, and influencing strategic decisions through financial analysis and insights
- Demonstrated success building and leading high-performing finance teams, including hiring, developing, and retaining top talent
- Comfort operating in ambiguous, fast-moving environments and an ability to create structure and clarity
- Working knowledge of SQL and comfort working with large, complex datasets
- Excellent written and verbal communication skills with experience preparing materials for and presenting to senior leaders
Preferred qualifications
- Experience in or exposure to crypto, stablecoins, digital assets, or blockchain-based financial products
- Experience with marketplace or platform business models and multi-sided network economics
- Experience working closely with different Finance functions (e.g. Accounting, Tax, Treasury, IR)
- Familiarity with leveraging AI/ML tools to enhance and automate financial analysis. Experience working with Python, Anaplan, Tableau, or equivalent tools is a plus
- Experience in a high-growth, rapidly scaling environment
Ready to apply?
Apply to Stripe
Staff Software Engineer, Stream Compute
Share this job
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
The Stream Compute team at Stripe builds and operates the infrastructure, tooling, and systems behind our Flink-powered stream processing systems. We're at the heart of several core asynchronous workflows, operating at significant scale and handling vast amounts of sensitive financial data. Our work powers intricate processes involving various critical financial operations and real-time analytics. We run globally distributed systems with high reliability and performance to meet Stripe's scaling, availability, and product needs, and we continually reduce operational toil by investing in automation and self-service tooling for upgrades, maintenance, and day-to-day operations. The team is distributed between Seattle, Toronto and remote locations.
What makes our team truly exciting is our commitment to our users: we ensure no event is dropped, state integrity is preserved, and support exactly-once processing as a first-class feature. Working at the intersection of real-time data processing and fintech innovation, we continuously push the boundaries of what's possible. Our focus on innovation, user experience, reliability, and compliance drives increased ROI and operational excellence, making us a crucial part of Stripe's success.
What you'll do
You'll help define and deliver the next generation of Stripe's Flink-first stream compute infrastructure—driving innovation to meet extremely high availability targets at global scale. Partnering with infrastructure engineers, adjacent platform teams, and the product orgs that depend on Flink every day, you'll set a long-term technical direction that scales with Stripe's growth while enabling reliable, efficient operations for years to come. You'll work on the hardest problems in operating Flink in production—state management, exactly-once processing, performance isolation, and automated recovery—so teams across Stripe can confidently build stateful stream processing applications on top of it.
Responsibilities
- Design, build, and operate stream compute infrastructure with Apache Flink at the center, alongside technologies like Kafka, Temporal, and AWS services
- Partner with product and platform teams across Stripe to understand requirements, unblock Flink adoption, and improve how stream processing infrastructure is used end-to-end
- Define and implement operational best practices (e.g., shuffle sharding, cellular architecture, load shedding, automated state recovery) to improve resilience and reliability at scale
- Drive fleet-level automation and standardization ("pets" to "cattle") through self-service workflows, safer rollouts, and self-healing systems that reduce manual operations
- Lead initiatives that raise the bar on Flink availability and state durability (e.g., multi-region strategies, disaster recovery readiness, operational readiness reviews, incident learning)
- Evaluate and productionize Flink ecosystem capabilities (e.g., SQL, connectors, state backends) to improve developer experience and scalability without compromising reliability
- Work closely with the open source community to identify opportunities for adopting new open source features as well as contribute back to OSS
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- This is a Staff-level role - that typically means 10+ years of experience building, operating, and evolving large-scale production systems
- Experience as a technical lead for team(s) working on distributed systems, including scaling them in fast-moving environments
- Hands-on experience with big data technologies such as Flink, Spark, Kafka, Pulsar, or Pinot
- Experience developing, maintaining and debugging distributed systems built with open source tools
- Experience building and scaling infrastructure as a product
- Strong software engineering skills and a passion for Big Data Distributed Systems
- Ability to write high quality code (in programming languages like Go, Java, Scala, etc)
- Comfortable operating with high autonomy and ownership
- Growth mindset and a willingness to learn quickly, explore ambiguous problem spaces, and dive deep when needed
- Strong written and verbal communication skills, including the ability to produce clear technical documentation
Preferred qualifications
- Experience operating streaming infrastructure as a platform (e.g., Flink clusters, Kafka, Pulsar) for internal customers at scale
- Deep hands-on experience authoring, optimizing, and operating real-time processing frameworks such as Flink, Spark Streaming, Storm, or Kafka Streams in production
- Experience building or operating control planes for managing large-scale infrastructure
- Open source contributions to data processing or big data systems (Hadoop, Spark, Celeborn, Flink, etc)
Ready to apply?
Apply to Stripe
About Bridge
We’re creating an entirely new payments platform, built with stablecoins, to simplify global money movement. Bridge enables faster, cheaper payments and borderless access to dollars via stablecoins. Through our APIs, businesses can send and receive funds across borders faster / cheaper vs. SWIFT and other fiat-only rails. Our virtual accounts enable international consumers and businesses to easily access, store and spend US dollars. Our payouts infrastructure enables platforms to disburse USD to anyone globally. We believe many trillions of dollars will move and settle through stablecoin payment rails. Bridge is pulling this future forward.
We have a small team of people who have previously built financial infrastructure at some of the world’s leading companies (Coinbase, Stripe, Square, Brex, Upstart, DoorDash, Airbnb) and each and every one of them chose Bridge because they fundamentally believe that stablecoins will be a critical piece of financial infrastructure that allows for the improvement of global money movement.
About the Role
As an early member of the Bridge engineering team, you will be given the autonomy to work on projects that are truly global in scale and aim to give customers access to products they've never had access to. Many of the use cases that we work on today didn't exist several months ago and that's because our team is dedicated to constant improvement for our partners and end users. Our Engineers have outsized ownership over projects so if you are looking for increased autonomy working on a completely greenfield opportunity, Bridge is the place for you.
Responsibilities
-
Ship software to build out our suite of API products. We’re an engineering and API-first company, and you will learn first-hand and contribute towards building highly reliable, performant, and mission critical infrastructure serving thousands of developers across the globe.
-
Take sole ownership of projects, oftentimes without the support of Product Management, and liaise both internally with teams like Legal/Compliance and externally with our partners and developers.
-
Look for constant improvements to our product offerings with the explicit goal of improving the experience for our partners and end users.
-
Make effective tradeoffs that consider business priorities, user experience, and a sustainable technical foundation.
-
Improve engineering standards, tooling and processes for the team and our broader org.
Qualifications
-
We are open to hiring engineers at various levels of seniority (SWE through Senior Staff) but at a minimum we are looking for somebody with 5+ years of experience.
-
Experience building backend systems with SQL databases. Experience with frameworks such as Rails, Django, Express or equivalent is a bonus.
-
An enlarged sense of ownership and the ability to lead and influence the design and direction of our products.
-
An ability to thrive in a fast paced environment.
-
A growth mindset and a constant curiosity and fearlessness to dive into the unknown.
-
An ability to write maintainable, well-tested, modular code, but also be pragmatic about moving fast.
-
Excellent written and verbal communication skills, including the ability to write clear technical documentation.
-
Past experience working on crypto or financial products a plus, and while not required, we do look for people who are very passionate about building in this space.
-
Experience with building API products a plus, but not required.
-
Experience working with blockchain or distributed systems a big plus
Ready to apply?
Apply to Stripe
Finance & Strategy Lead, Payments Product
Share this job
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
The Finance & Strategy team is a key thought partner to Stripe’s product leaders. We bring financial rigor, strategic clarity, and analytical depth to the decisions that shape Stripe’s product portfolio and long-term growth strategy.
The Payments Products Finance & Strategy team sits at the intersection of Payments and Agentic Commerce. The team is increasingly evaluating opportunities across the entire Stripe Payments portfolio with rapidly evolving market dynamics as new agentic commerce tools and behaviors form. These areas require a finance leader who can operate across different stages of maturity, bring structure to complexity, and drive financial outcomes in an ambiguous environment.
What you’ll do
We're seeking a seasoned finance leader to lead our Agentic Commerce ambitions, both internally and externally. You’ll partner with product and engineering leads for Agentic Commerce, acting as a trusted financial and strategic advisor. You’ll be a thought partner in developing frameworks for how to assess the evolving landscape, identify areas for growth and drive investment frameworks / strategic insights that enable Stripe to best capture this opportunity.
This is a highly cross-functional role and requires the ability to understand the different needs in each organization and translate technical language into concise commercial insights. Moreover, you’ll build the analytical infrastructure leveraging AI and tooling, to ensure this team delivers system-level improvements in how we deliver insights going forward.
Responsibilities
- Act as a financial and strategic advisor to the business, building investment cases and business plans, and evaluating business performance.
- Create executive-ready presentations that tell the “investor narrative” taking into account internal data as well as external resources
- Support new business / product launches, helping drive strategy and decision-making by bringing rigorous driver-based financial analyses / frameworks and product and industry expertise to help product leaders evaluate tradeoffs and shape strategic roadmaps.
- As the business matures, establish and maintain key business metrics and KPIs to measure performance of new products.
- Lead the quarterly forecast and annual strategic financial planning process.
- Develop long range financial models with scenario analysis and actionable recommendations on growth, monetization and where to prioritize investments.
- Present performance in business forums, highlighting drivers, risks and actionable insights.
- Drive process improvement and analytics scalability, partnering cross-functionally to evolve data infrastructure, reporting and analytics.
- Identify opportunities to leverage AI and automation to enable the team to operate at the leading edge of financial analysis.
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- At least 10+ years of relevant experience within strategic finance, ideally at a high-growth technology company and/or with prior experience in hedge funds, sell-side, or VC with strong analytical background (i.e. investment banking)
- B.A. or B.S degree in related field
- Exceptional analytical capabilities and business acumen, with the ability to simplify and distill complex information in a rigorous but consumable way
- Ability to create polished, executive- and investor-ready presentations that communicate complex narratives clearly and concisely with high impact
- Broad exposure to multiple industries and sectors; experience in technology, SaaS, or AI is a plus
- Proven ability to build strong collaborative working relationships with business partners and executives; you are seen as a trusted and objective advisor
- An enthusiastic self-starter with a "roll up your sleeves" mentality
- Ability to manage multiple work streams and maintain high performance under tight timelines
- Ability to deal effectively with ambiguity and thrive in an unstructured, fast-moving environment
- Experience with SQL or a willingness to learn
- Excellent verbal and written communication skills
Preferred qualifications
- Deep understanding of payment and card networks economics
- Experience as a finance business partner supporting a partnerships or deal-making function
Ready to apply?
Apply to Stripe
Technical Account Manager
Share this job
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
Technical Account Managers work cross-functionally to support Stripe’s largest and most complex users. Through trusted relationships we offer customized, strategic consultations and proactively identify opportunity areas to help businesses deliver more value to their customers, optimize technical operations on their teams, and accelerate their global growth with Stripe.
What you’ll do
Strategically support Stripe’s largest and most complex users.
Responsibilities
- Provide a gold standard experience to your assigned accounts’ key stakeholders
- Work with the wider Operations team to provide current state, resources and knowledge to enable gold standard experience across teams interacting directly with the user via support channels, external documentation, or product/feature feedback or development
- Foster long term user relationships that grow loyalty to Stripe and Stripe products
- Work cross-functionally both internally and within your user’s organizations to provide and implement operational solutions on subjects not limited to fraud/disputes, declines, product adoption and global expansion
- Work closely with Account Management and other user facing teams as part of a larger effort to support users on Stripe
- Lead user facing meetings both in person and through video chat
- Collaborate on the continued design of this support offering
- Create user-facing content for long term solutions
Who you are
We are looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- 5+ years experience in enterprise level client-facing work
- Strong product sense and energized by the challenge of solving difficult user related problems
- Strong written and verbal communication skills
- Ability to lead complex integration conversations in a highly consultative and proactive manner
- Familiarity with APIs and ability to explain API concepts to Stripe’s largest and most technical customers
- Familiarity with SQL and comfort building basic queries and modifying more complex ones
- Strong technical troubleshooting skills and experience interfacing with technical teams
- Adept client relationship management skills
- Ability to engage in business-level and technical conversations at multiple levels of the organization
Preferred qualifications
- Operations savvy mindset, with an ability to identify and eliminate process friction while continuing to build scalable processes
- Experience practicing in small to medium scale project management
- Strong organizational skills and self-starting mindset
- Experience with tools like Postman, xCode, Python, Webhooks, and ETL
- Experience in the payments industry
Ready to apply?
Apply to Stripe
Staff Machine Learning Platform Engineer
Share this job
About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About this role
As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the technical bridge between data science and production engineering. You’ll be joining a small but deeply critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.
What You Will Do
- Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows
- Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows
- Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models
- Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage
- Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions)
- Optimize performance, reliability, and cost across training and inference workloads
- Configure Identity and Access Management (IAM) and Role Based Authentication Controls (RBAC) for sensitive data sets
- Establish observability for data quality, model performance, and platform health
- Build and maintain ML Platform technical documentation
What it takes
- 8+ years of experience building production ML or data platforms
- A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
- Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow.
- Proficiency in Python, SQL, and distributed systems concepts
- Experience with cloud platforms and infrastructure-as-code
- Solid understanding of MLOps best practices: CI/CD, monitoring, reproducibility, and security
- Experience supporting multiple ML teams in a shared platform environment
- Are an active owner of orphaned problems and are willing to assimilate whatever knowledge you’re missing to get the job done
Tech Stack
Faire uses a modern cloud based tech stack. For this role, you’ll want to be proficient with the following:
|
Category |
Technologies |
|
Languages |
Python, SQL, Kotlin |
|
ML Frameworks |
PyTorch, MLFlow |
|
Big Data & Processing |
Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL |
|
Cloud & Infrastructure |
AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform |
|
Generative AI |
Claude Sonnet 4.5, ChatGPT 5.2 |
Salary Range
Canada: the pay range for this role is $216,000 to $297,000 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.
This job posting is for an existing vacancy.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Ready to apply?
Apply to Faire
AI GTM Engineer
Share this job
MaintainX is the world's leading Asset and Work Intelligence platform for industrial and frontline environments. We are a modern IoT-enabled cloud-based tool for reliability, safety, and operations on physical equipment and facilities. MaintainX powers operational excellence for 13,000+ businesses including Duracell, Univar Solutions Inc., Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell.
We recently completed a $150 million Series D funding round, bringing our total funding to $254 million and valuing the company at $2.5 billion.
As the AI GTM Engineer, Growth Marketing, you’ll build and scale the technical foundation behind MaintainX’s acquisition engine. Reporting to the VP, Growth Marketing & Strategy, this is a hands-on, embedded role within the Growth Marketing team, where you will partner directly with marketers to design, build, and launch campaigns powered by automation and AI. You won’t operate as a separate engineering function, you’ll work side-by-side with Customer Marketing, Performance Marketing, SEO & GEO, Lifecycle, and Field Marketing teams to turn campaign ideas into scalable systems and live experiments. This role is critical to building an AI-native, system-driven marketing engine at MaintainX, enabling us to scale acquisition through automation, personalization, and experimentation.
What you'll do:
- Partner with Marketing to Build & Launch Campaigns
- Work directly with Growth marketers to ideate, design, and launch acquisition campaigns
- Translate campaign ideas into scalable systems, automations, and experiments
- Rapidly prototype and iterate on new growth plays (landing pages, outbound, paid, lifecycle)
- Build Systems That Power Campaign Execution
- Develop tooling for programmatic landing pages, ad creative generation, and email workflows
- Enable marketers to launch campaigns faster through reusable systems and automation
- Balance speed (quick tests) with scalability (systems that can be reused)
- Embed AI into Marketing Workflows
- Partner with marketers to identify high-leverage use cases for AI in campaigns
- Build and deploy AI-driven systems for:
- Creative generation and testing
- Personalization across channels
- Outbound messaging and sequencing
- Turn one-off experiments into repeatable campaign infrastructure
- Own Experimentation with Marketing
- Co-design and implement experiments across paid, SEO, lifecycle, and web
- Build tooling to track performance, attribution, and testing outcomes
- Enable faster, data-driven iteration across campaigns
Audience, Segmentation & Personalization
- Partner with marketers to define target audiences and ICP segments
- Build systems to dynamically segment, enrich, and activate audiences across channels
- Enable real-time personalization across the funnel
- Marketing Data & Performance
- Ensure clean data flows from marketing channels into CRM and analytics systems
- Build dashboards and reporting layers for campaign performance and funnel metrics
- Improve visibility into CAC, conversion rates, and pipeline generation
What you’ll bring:
Technical Skills
- Strong programming ability (Python, JavaScript, or similar)
- Experience working with APIs, automation frameworks, and event-driven systems
- Strong SQL skills and experience with data warehouses (Snowflake, BigQuery, etc.)
- Experience integrating tools like Salesforce, HubSpot, Segment, Webflow, etc.
- Experience deploying AI/LLM workflows into production
- Marketing Systems Experience
- Experience working closely with marketing teams to build and launch campaigns
- Strong understanding of paid media, SEO, lifecycle marketing, and web conversion flows
- Experience building systems that directly support campaign execution and optimization
- Mindset
- Thinks like a marketer, builds like an engineer
- Optimizes for speed, iteration, and measurable impact
- Focused on pipeline and revenue outcomes, not just outputs
- Defaults to automation and scalable systems over manual work
About you:
- 5+ years in growth engineering, marketing engineering, or technical growth roles, with experience building systems that support marketing and acquisition.
- Strong ability to partner with marketers to design and launch campaigns, and translate those into scalable systems and automation.
- Proficiency in SQL and at least one programming language (e.g., Python, JavaScript), with experience building scripts, workflows, or internal tools.
- Experience working with APIs, data pipelines, and integrating marketing tools (e.g., Salesforce, HubSpot, Segment).
- Experience applying AI/LLMs to automate or scale marketing workflows (e.g., content generation, personalization, outbound).
- Solid understanding of paid media, SEO, lifecycle marketing, and experimentation frameworks.
- Strong analytical skills with experience in testing, attribution, and performance measurement.
- Entrepreneurial mindset: thrives in fast-paced, test-and-learn environments with a bias toward speed and execution.
What’s in it for you:
- Competitive salary and meaningful equity opportunities.
- Healthcare, dental, and vision coverage.
- 401(k) / RRSP enrolment program.
- Take what you need PTO.
- A Work Culture where:
- You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
- We believe in meritocracy, where ideas and effort are publicly celebrated.
About us:
Our mission is to make the life of blue-collar workers easier worldwide by creating software that meets their needs and realities. Our product is truly life-changing for 80% of the workforce that doesn’t work behind a desk and needs enterprise-grade software at their fingertips.
MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Ready to apply?
Apply to MaintainX
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.
Ready to apply?
Apply to Brex
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
Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.
What You’ll Do
As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications.
Where you’ll work
This role will be based in our Sao Paulo 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:
- Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.
- Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation.
- Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications.
- Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.
- Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.
- Set and proliferate company-wide standards for data relating to structure, quality, and expectations.
- Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.
- Use agentic AI where it speeds up pipeline and quality work, without skipping validation.
Requirements:
- 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.
- Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.
- Experience integrating and orchestrating data workflows with various modern data tools and systems.
- Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
- Experience working with a data warehouse such as Snowflake.
- Experience with a data workflow orchestrator tool such as Airflow.
- Experience with a programming language such as Python.
- Experience with agentic AI.
- Exceptional quantitative and analytical skills.
- Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.
Nice to have:
- Familiarity with BI tools such as Looker, Tableau, or similar platforms.
- Solid dbt in production: models, tests, docs, and collaboration in a shared repo.
- AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions.
- Experience with Salesforce data integration.
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.
Ready to apply?
Apply to Brex
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
Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.
What You’ll Do
As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications.
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:
- Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.
- Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation.
- Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications.
- Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.
- Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.
- Set and proliferate company-wide standards for data relating to structure, quality, and expectations.
- Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.
- Use agentic AI where it speeds up pipeline and quality work, without skipping validation.
Requirements:
- 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.
- Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.
- Experience integrating and orchestrating data workflows with various modern data tools and systems.
- Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
- Experience working with a data warehouse such as Snowflake.
- Experience with a data workflow orchestrator tool such as Airflow.
- Experience with a programming language such as Python.
- Experience with agentic AI.
- Exceptional quantitative and analytical skills.
- Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.
Nice to have:
- Familiarity with BI tools such as Looker, Tableau, or similar platforms.
- Solid dbt in production: models, tests, docs, and collaboration in a shared repo.
- AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions.
- Experience with Salesforce data integration.
Compensation:
The expected salary range for this role is $120,800 - $151,000. 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.
Ready to apply?
Apply to Brex
Analyst: Data Reporting and Visualization Team
Share this job
*** This is where your organization can create a consistent intro to all of your jobs, creating consistency in voice and messaging across all job posts
*** C'est ici que votre organisation peut créer une introduction cohérente à tous vos emplois, en créant une cohérence dans la voix et la messagerie dans tous les postes.
The Project Manager – Reporting and Visualization will be responsible for helping the Digital Analytics and Insights group gather requirements, source data, and deliver reports and compelling visualizations to key stakeholders across the global Discovery organization. You will work with various functional groups to gather requirements, design relevant reports and dashboards and continually improve Business Intelligence.
- Leads discussions throughout all phases of the Business Intelligence design lifecycle
- Plans, manages and keeps control over key project milestones, metrics and effectiveness
- Ensures objectives and scope are clearly defined and understood by stakeholders and Analytics team
- Effectively manages internal communications in both verbal (team meetings) and written (status reports).
- Collaborates with other BI leads throughout the organization to coordinate tools and methods.
- Ensures appropriate access and training is supplied to relevant end users
- Runs project post mortem analysis to capture improvement ideas for future projects.
- Bachelor’s, Master’s or PhD degree in Information Technology, Computer Science, Engineering, Business Management or similar discipline
- 2+ years of experience in BI analytics project management and leading teams in a virtual / global or structured organization
- Must be able to define, shape, and drive projects to completion while effectively collaborating with others
- Strong analytical and problem solving skills. Demonstrate an ability to solve complex problems and present recommendations to senior management effectively
- Excellent interpersonal and communication skills, work ethic and the ability to work well individually as well as leading cross functional project teams
- Understanding of design principles and aesthetics of business dashboards and reports (i.e. look and feel)
- Basic data modelling and database design understanding including experience in SQL server and DataStage development
- Experience with BI visualization tools and their implementation, ideally Tableau or PowerBI
- Understanding and experience with big data technologies and platforms is highly desired
- Prior experience in design, development and deployment of BI applications
- Functional experience across a range of commercial business processes with an emphasis on personalization & revenue management and marketing data integration is a plus
- Experience in Media is a plus
- Must have the legal right to work in the United States
*** Similar to the introduction that can precede all job descriptions, an outro can also be formatted for consistency on all posts
*** Semblable à l'introduction qui peut précéder toutes les descriptions de poste, une outro peut également être formatée pour la cohérence sur tous les messages
Ready to apply?
Apply to Example Corp
Software Engineer, Data Platform
Share this job
About GlossGenius
GlossGenius is building an ecosystem enabling entrepreneurs to succeed. We empower small business owners to focus on being creators, not admins, by offering a range of business management tools including booking and scheduling, marketing, analytics, payment processing and much more.
Over 100,000 small business owners have chosen to rely on GlossGenius every day to run their entire set of business operations. Joining its powerful, intuitive platform with its vibrant, distinguished brand, GlossGenius is the ideal combination of a fintech, SMB software, and consumer company all in one.
About the Role
As we continue to scale, we’re strengthening our Data Engineering team. The primary focus of this role is to reimagine the data infrastructure to support our AI platform. This transformation will be critical to the success of our future products, and vital in delivering value to our 100,000+ business owners
You must be commutable to our NYC or SF headquarters. We default to being in-office 3-4 days per week with required attendance on Tuesdays and Thursdays.
What You’ll Do:
As an Software Engineer, Data Platform, you'll be both a hands-on technical expert and a strategic leader. You'll drive the design of core data models and pipelines in our Snowflake and Clickhouse lakehouse, setting the standards for quality, reliability, and scalability across the platform.
You'll own end-to-end solutions—from architecture and implementation to operations and optimization—while helping guide the long-term direction of GlossGenius' data ecosystem. You'll collaborate across teams to turn complex business problems into robust data solutions, mentor engineers to help them grow and deliver at a higher level, and help the team evolve toward a fully governed lakehouse with fine-grained access controls and consistent lineage.
- Design and implement core data models and pipelines that power analytics, ML, and product experiences
- Implement modern data lake orchestration patterns, including medallion architectures
- Architect and evolve a scalable, cost-efficient, and reliable lakehouse foundation using Snowflake, Clickhouse, and orchestration tools
- Define best practices and technical standards that improve data quality, governance, and performance across teams
- Mentor engineers and foster a culture of ownership, operational excellence, and continuous learning
- Shape the long-term technical vision and roadmap for GlossGenius' data platform
What We’re Looking For
- 5+ years of experience in data engineering, with a strong background in data architecture, data modeling, and distributed data systems
- Deep expertise in modern lakehouse technologies such as Snowflake and Clickhouse
- Experience implementing modern data orchestration patterns for big data use-cases, including batch and streaming workloads
- Advanced proficiency in SQL and Python or Scala, including performance optimization and large-scale ETL design
- Familiarity with AI/ML workflows and the data infrastructure that supports them, you understand what it takes to move data from raw ingestion to model-ready, and ideally have experience building pipelines that feed or serve ML models in production
- Demonstrated ability to lead technical initiatives, set standards, and influence decisions across teams
- Comfort owning systems end-to-end, including monitoring, reliability, and cost management
- Excellent communication skills with the ability to translate technical trade-offs to both engineers and non-technical stakeholders
Benefits & Perks
- Flexible PTO
- Competitive health & dental insurance options, with premiums partially or fully covered by GG
- In-person opportunities that are designed to help team members foster collaboration and build community (ie; working out of a co-working space, team dinners, and other team building activities)
- Fertility and adoption benefits via Carrot
- Generous, fully-paid parental leave policy
- 401k benefit - employees are eligible to contribute starting day 1 of employment
- Professional Development - employees receive a yearly stipend for approved learning and educational-related expenses
- Pre-tax commuter benefits
- Dependent Care FSA
- Home office support
The starting base salary for this role in New York and California is between $200,000 - $236,000 + target equity + benefits. The base salary offered is dependent upon many factors including skills, experience, location, and education. The base pay range is subject to change and may be modified in the future. Additionally, this role is currently eligible to participate in GlossGenius’s equity plan as well as a range of health & wellbeing, retirement savings, and other benefits within our total rewards offering.
At GlossGenius, we celebrate our differences and are committed to creating a workplace where all employees feel supported and empowered to do their best work. We believe this benefits not only our employees but our product, customers, and community as well. GlossGenius is proud to be an Equal Opportunity and Affirmative Action Employer.
Personal Information: Notice at Collection for Employees and Applicants
Agency Submissions
If a resume or applicant is submitted to GlossGenius by a third party without a signed search agreement in place, it will become the property of GlossGenius and no fee will be paid, irrespective of whether the candidate is hired.
GlossGenius may use automated tools, including artificial intelligence and machine learning systems (AI Tools), to assist in evaluating applicants’ qualifications and fitness for the position. These AI Tools may be used alongside human review during one or more stages of the recruiting process, including application screening, skills assessments, and interviewing. No final hiring decision will be made solely by AI Tools without human oversight.
Ready to apply?
Apply to GlossGenius
Senior Business Operations Analyst
Share this job
About Taskrabbit:
Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more.
At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We’re looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we’re creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.
Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!
This role operates on a hybrid schedule requiring two days of in-office collaboration per week. The position can be based in either our San Francisco office or our New York City office (opening March 2026).
About the Team:
The Revenue Optimization team sits within the Marketplace Operations team and operates as analyst-owners across several aspects of the business. We use deep analysis, data-driven experimentation, and deployment of pricing and supply levers to help Taskrabbit hit its financial targets. We develop and operationalize scalable solutions to optimize outcomes at the mid and bottom parts of our business funnel.
About the Role
The Senior Business Operations Analyst will lead the end-to-end implementation and optimization of Taskrabbit’s automated enforcement tool, bridging the gap between company policy and technical execution. This role is essential for maintaining marketplace quality and driving revenue growth by spearheading gray market reduction initiatives. You will be responsible for activating policy enforcement mechanisms and providing the analytical rigor necessary to track performance, mitigate leakage, and ensure scalable business operations.
Join us in transforming lives, one task at a time.
What You’ll Work On:
- Lead the technical implementation of policies within the Business Rules Engine (BRE), ensuring that high-level business requirements are accurately translated into automated logic to recommence and maintain consistent policy enforcement.
- Own the analysis and tracking of policy enforcement, developing the frameworks and dashboards necessary to monitor system efficacy and the impact of enforcement on the marketplace.
- Drive direct revenue growth by identifying, analyzing, and reducing off-platform transactions through rigorous data analysis and the design of targeted operational tests.
- Design and execute experimental frameworks to test new marketplace rules, measuring their impact on user behavior and platform health before full-scale rollout.
- Collaborate cross-functionally with Product, Engineering, and Operations teams to ensure the BRE evolves in alignment with product roadmaps and regulatory requirements.
- Operationalize marketplace integrity by mapping complex policy workflows, identifying gaps in enforcement, and implementing creative solutions to automate or optimize key business rules.
- Define and monitor KPIs related to policy compliance and revenue leakage, providing actionable insights to leadership that inform broader business strategy.
- Serve as the primary stakeholder for BRE health, ensuring that business logic remains current and effective, preventing the need for manual resource diversion from other departments.
You Should Have:
- A BS/MS in economics, mathematics, statistics, or equivalent analytical experience
- 2-4 years using analytics to drive key business decisions across strategy, marketing, operations, and/or finance
- Experience building data visualizations to inform business decisions (e.g., Looker, PowerBI, Tableau, Sigma, etc.)
- Excellent verbal, presentation, and written communication skills
- Experience with SQL and large volumes of data
- Great attention to detail and quality
- Experience translating technical topics to non-technical audiences
- A knack for working with cross-functional partners to reach the right solutions
- An ownership mindset determined to get things done
- A willingness to learn how true two-sided marketplaces function
Nice to Have:
- Experience with Python
- Experience presenting to C-level executives
- Experience gathering, distilling, and providing requirements to technical engineering and data teams
- Proficient in statistical techniques and concepts (regression, power analysis, clustering, etc.)
- Technical understanding of data warehousing/data pipelining solutions
- Experience with a marketplace business model and a global brand
- Love collaborating together with a tight-knit team
Compensation & Benefits:
At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks.
The base pay range for this position is $105,000 - $140,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.
You’ll love working here because:
- Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection.
- The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!
- The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average.
- The Perks. Taskrabbit offers our employees with employer-paid health insurance and a 401k match with immediate vesting for our US based employees. We offer all of our global employees generous and flexible time off with 2 company-wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support, and more. Benefits vary by country of employment.
Taskrabbit’s commitment to Diversity and Inclusion:
An Active Commitment to Equity within our Company and Platform. We are an inclusive community where all who share our mission and values belong. Our diverse team represents the communities we serve, breaking down systemic barriers, and transforming lives- one action at a time.
Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.
Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.
Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.
Ready to apply?
Apply to Taskrabbit
About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
About The Role
As a Technical Account Manager, you will become the bridge between Hightouch and our largest Fortune 5000 customers. You will oversee the entire customer journey starting from kick-off to onboarding to continued customer success and finally, increased adoption. You are a product expert and will leverage your knowledge to ensure our Enterprise customers understand and utilize the Hightouch platform to its fullest extent and beyond.
In this role, you strive to understand customer requirements and issues at the molecular level. No matter your background, you have a natural curiosity to uncover a customer’s use case and help navigate to the most elegant and efficient solution. Fundamentally, you are enamored with how a company can utilize data to its fullest extent. Utilizing this curiosity and knowledge, your goal is to guide the customer into their ideal future state as well as guide the innovation of the Hightouch platform as well.
What You’ll Do
- As a critical member of the Customer Success team you will be responsible for the retention and expansion our largest Enterprise customers
- You will be part of a team that will work closely with Sales to strategize on how to increase the adoption of Hightouch within large organizations
- From a technical perspective, your primary responsibilities will be to deliver a timely and organized onboarding for customers through effective project management, ensure customers see the full value in Hightouch’s products, and advise on technical best practices
- Provide customers with clear proactive technical guidance and expertise across all our products
- Collaborate with Customer Support, Engineering, and other teams to assist with technical escalations
- Contribute towards the success of the Hightouch platform by surfacing use cases and problems to Engineering that push our product to the next level
What We're Looking For
- 5-10 years of experience in a client facing and / or technology focused role where business experience and technical acumen was combined
- Experience managing and executing technical projects with a customer-first attitude and a strong sense of empathy
- Excellent project management and communication skills
- Proven ability to quickly learn new technologies and understand complex systems (SQL, databases, APIs, reporting tools, etc.)
- Strong troubleshooting and problem solving skills with a continuous desire to improve your technical acumen
- Ability to collaborate cross functionally with different teams and types of people
- Ability to work under pressure, deadlines and navigate unexpected roadblocks with ease
Compensation Details
On-Target Earnings Range: $165,000- $250,000 annually
Base Salary: $132,000-200,000 annually
We also offer meaningful equity compensation in the form of ISO options and offer early exercise and a 10-year post-termination exercise window.
E-Verify Statement
Hightouch participates in E-Verify. We will provide the Social Security Administration, and if necessary, the Department of Homeland Security, with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.
E-Verify Notice
E-Verify Notice (Spanish)
Right to Work Notice
Right to Work Notice (Spanish)
Ready to apply?
Apply to Hightouch
Forward Deployed Marketing Data Scientist
Share this job
About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
About the Role
We’re looking for a Forward Deployed Marketing Data Scientist to partner closely with our AI Decisioning customers and internal engineering teams to ensure that AI-driven marketing campaigns deliver measurable, compounding impact. This role is uniquely cross-functional: you’ll spend time diagnosing model behavior, tuning ML levers, analyzing incrementality, exploring customer data, and explaining insights to marketers and executives.
Marketing teams come to Hightouch to transform how they operate. Instead of planning campaigns weeks ahead on a calendar, AI Decisioning continuously learns customer preferences and executes 1:1 messaging that adapts in real time. Your mission is to make sure that these AI agents perform at their best—and to help customers understand why they are performing the way they are.
You’ll work alongside ML engineers, product managers, Solutions Consultants, and some of the world’s most recognizable brands to improve campaign performance, debug experiments, and identify opportunities for additional lift. Roughly 30% of your time will be customer-facing and 70% deep analytical and modeling work.
No two days are the same, but you can expect to:
Own diagnostics, insights, and tuning for AI Decisioning campaigns
- Explain why AI Decisioning is driving lift using counterfactuals, incrementality breakdowns, and cohort analysis.
- Debug performance issues, iterate on reward functions, and ensure the agent’s recommendations align with customer goals.
- Investigate experiment setups (send volumes, reachability, channel constraints) and surface actionable recommendations.
Work deeply with data in notebooks and customer warehouses
- Pull down historical data to run exploratory analyses using Polars / Pandas in Jupyter notebooks
- Modify and improve customer feature matrices to unlock deep personalization.
- Conduct deeper warehouse-level SQL analyses when insights aren’t available in the UI.
Build lightweight tooling that enables scale
- Create templates, notebooks, scripts, and repeatable workflows that improve how we analyze performance across customers.
- Identify systemic gaps and influence the direction of ML reporting and introspection.
Communicate ML concepts clearly to non-technical stakeholders
- Present model insights and recommendations to marketers, analysts, and executives.
- Explain how the decision engine handles cold start, message transfer learning, exploration vs. exploitation, and more.
- Partner closely with Solutions Consultants to identify and drive new opportunities for uplift.
What We’re Looking For
- Strong ability to perform deep exploratory data analysis in Python (Polars / Pandas, Jupyter notebooks).
- Ability to write and interpret SQL for customer warehouse analysis.
- High-level understanding of ML modeling concepts (features, hyperparameters, reward functions, training windows).
- Excellent communication skills; able to explain technical reasoning simply and confidently to marketers.
- A customer-first attitude with high ownership and urgency when resolving issues.
Bonus Points
- Experience setting up and analyzing marketing experiments such as A/B, multivariate tests.
- Prior experience in an applied ML, data science, analytics engineering, or forward-deployed role.
- Experience building lightweight internal tools or scripting solutions.
We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. We focus on impact and potential for growth more than years of experience. The salary range for this position is $140,000 - $220,000 USD per year, which is location independent in accordance with our remote-first policy.
Interview Process
We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for.
Our interview process evaluates the most important dimensions of the role: analytical depth, customer communication, first-principles problem solving, and alignment with Hightouch’s values.
Intro Call [15–30m]
Introductory call with either a member of our recruiting team or the hiring manager to get to know each other and see if the role could be a good mutual fit.
Take Home Data Analysis Exercise + Review Session [45m]
You’ll complete a short take-home assignment focused on exploratory data analysis of an example dataset. In the live review, you’ll walk through your approach, explain your reasoning, and present your findings as if you were guiding a customer through your analysis. We’re looking for clarity of communication, rigor of thinking, and the ability to turn data into actionable insights.
Experiment Design & Analysis Session [90m]
A hands-on session where we collaboratively design and evaluate an experiment end-to-end. This includes:
- Defining the experimental goal and how success should be measured
- Identifying the most relevant context and features to use in modeling
- Interpreting example results and diagnosing performance patterns
- Recommending next steps and communicating tradeoffs
Hiring Manager Interview [30m]
Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
E-Verify Statement
Hightouch participates in E-Verify. We will provide the Social Security Administration, and if necessary, the Department of Homeland Security, with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.
E-Verify Notice
E-Verify Notice (Spanish)
Right to Work Notice
Right to Work Notice (Spanish)
Ready to apply?
Apply to Hightouch
Software Engineer, Customer Studio Backend
Share this job
About Hightouch
Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.
Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.
Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.
About the Role
Customer Studio is Hightouch’s second major product that provides a purpose-built no-code suite of features that enables anyone, regardless of their SQL experience, to activate data directly from their warehouse. The product has become an essential part of the day-to-day operations for marketing and growth teams to build and measure audiences and campaigns, and it also serves as part of the underlying infrastructure that powers our agentic marketing workflows. The team blends product and customer-first thinking with challenges at high data scale, helping us reimagine marketing in an AI-native world.
We’re looking to add a product-minded backend engineer to the team. The ideal candidate will be comfortable diving deep into backend and distributed systems and think holistically about architecture, scalability, maintainability, and reliability. We also are looking for someone with strong customer and product thinking and who feels comfortable writing and engaging with product specs.
Some of the problems we’ll be working on include:
- Data Warehouse Performance: We’re consistently pushing the limits of what data warehouses can handle in terms of speed, performance, and interactivity. We explore optimizations generally (e.g. optimizing queries, storing pre-computed state), as well as investigate warehouse-specific improvements.
- Analytics and Experimentation: How can Hightouch help customers build segments and decide what data they want to sync? How can we facilitate experimentation to downstream tools, including tracking the performance of different audiences?
- Real-time Audience Syncing: Our users are always interested in faster syncing and fresher data. As warehouses become more real-time and adopt technologies like CDC, we’re excited to explore real-time audience computation and syncing.
- Generative AI: We’re continuously working on making the user experience of acting on data more seamless, and are optimistic generative AI can enhance user workflows.
We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.
Interview Process
Our interview process focuses on evaluating fit for the most important dimensions of the role: product sense, ability to architect backend and distributed systems, and alignment with Hightouch’s values. Notably, we don’t do any programming interviews as we believe they are low signal to noise and aren’t a good evaluation mechanism.
- Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit.
- System Design Screen [45m]: Designing a data processing feature end-to-end.
- Hiring Manager Interview [30m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles.
- System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical.
#LI-DNI
E-Verify Statement
Hightouch participates in E-Verify. We will provide the Social Security Administration, and if necessary, the Department of Homeland Security, with information from each new employee’s Form I-9 to confirm work authorization. Please note that we do not use this information to pre-screen job applicants.
E-Verify Notice
E-Verify Notice (Spanish)
Right to Work Notice
Right to Work Notice (Spanish)
Ready to apply?
Apply to Hightouch
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.
Compliance at Brex
The Compliance team is a strategic partner that helps Brex scale responsibly in a complex, highly regulated environment. We create frameworks that protect the business, unlock growth, and enable innovation — all while championing our customers’ best interests. By fostering a culture of trust and innovation, we empower Brex’s growth, remove barriers, and strengthen our brand with customers and partners, bringing speed, sound judgment, and creativity to everything we do.
What you’ll do
As the Screening and TM Associate, you will help build upon the foundations of the Brex Financial Crimes Investigations Team. You will review and report potential money laundering (ML), terrorist financing (TF), bribery, and other violations of law. The right candidate will be able to, and have a passion for, investigating potentially suspicious activity, identifying and assessing risk, and synthesizing large amounts of data in order to make informed decisions regarding customer activity and the risk it poses to the company. Clear communication is essential both in written investigations and verbal communication to senior management regarding potentially suspicious activity. You must be diligent and able to maintain a high level of quality while producing sufficient quantity of work to meet regulatory deadlines. You must also be flexible and be able to adapt to a rapidly changing regulatory and business environment.
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
- Conducts independent investigations into transaction monitoring alerts, manual based investigations or screening alerts.
- Consistently monitor unusual transactions and high-risk customers in support of regulatory reporting obligations, such as filing Suspicious Activity Reports (SAR) and Sanctions screening alerts/escalations
- Take ownership of the success of our internal controls, spot and scope opportunities for improvement
- Sampling techniques and analytical methods in order to monitor new typologies and emerging risks
- Support vendor integrations and address questions from L1 alert reviewers
Requirements
- 2+ years of experience across a variety of financial risk operations (AML, Sanctions, Bribery/Corruption, Due Diligence, etc)
- Knowledgeable about relevant US financial regulations authorities (ex: FinCEN, FINRA, OFAC, etc.)
- Technical aptitude in understanding complex money movement across payment methods and rails
- Familiarity with interpreting and utilizing data analytics tools (SQL, Looker, Excel), including designing, debugging, and organizing data for a wide audience
- Familiarity working with AI tools
- Demonstrated ability to work as part of a cross-functional, multi-disciplinary team (Legal, Engineering, Product Management, Data) in designing operational work-streams and internal controls
- Strong communication and interpersonal skills
- English proficiency/fluency, both written and speaking (note: interviews will be conducted in English)
Bonus points
- CAMS Certified
- Experience using various transaction monitoring systems
- Insatiable curiosity
- Eagerness to learn
- Detail oriented
- Desire to build
Compensation
The expected salary range for this role is $86,784 - $108,480. 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.
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.
Ready to apply?
Apply to Brex
Founding Machine Learning Engineer
Share this job
About Wholesail ⛵️
Wholesale trade, a $55T global market, still operates like the world before the internet and modern payment networks: collection processes are manual and run on paper, short-term credit risk is assumed by the vendor, and businesses rely heavily on legacy ERP systems that don't talk to each other. The result is large, measurable drag — we estimate that vendors spend over $500B a year globally across industries on an inefficient mix of processing, bad debt, lending, credit insurance, software, and labor costs to get paid.
Wholesail is building a financial network from the ground up that connects the systems of vendors and buyers involved in wholesale trade to enable streamlined payment and the transfer of risk to third parties. This will allow vendors to offload risk and eliminate tens of billions of waste — while giving creditworthy buyers better terms and third-party capital, unlocking hundreds of billions (ultimately trillions) in additional sales. The primitives of this network scale across industries and geographies: a universal approach to ERP integrations, modern payment rails, and a live trade-credit bureau to underwrite risk — which we're calling Lighthouse.
The Opportunity: Risk & Capital Products 🚢
Credit is the load-bearing beam of our network. Every time a vendor ships goods before getting paid, someone is taking a risk — today it's the vendor, tomorrow it should be a third party at a fair price. Getting that transfer right is what unlocks the next order of magnitude of sales across the wholesale economy, and the only way to get it right is to underwrite buyers more accurately than anyone else in the industry. Listen to the Visa episode of the Acquired podcast to learn how credit card networks did this for retail trade.
We think we're uniquely positioned to do this. Through Lighthouse, we're building a live, reciprocal trade-credit bureau: vendors on our network contribute real-time payment behavior on a long tail of SMB buyers that no traditional bureau sees. That data — combined with the bank, ERP, and transaction signals already flowing through Wholesail — is a modeling dataset that doesn't exist anywhere else. The first MLE on this team gets to decide what we build with it.
The problems are real and the stakes are significant. Our models directly shape the terms buyers are offered and the losses Wholesail and our capital partners absorb. There's no established playbook here and no legacy stack to inherit — you'll be setting the direction for how we do modeling, data engineering, and production ML at Wholesail for years to come.
The Role ⚒️
As the founding MLE on the Risk Engineering & Capital Products team, you'll own credit risk modeling end-to-end — from problem framing and data pipeline design, through model development and validation, through production serving and monitoring. You'll work directly with the hiring manager, our engineering and product leadership, and our hands-on advisor Dan Massoni (former Chief Commercial Credit Officer of American Express) to decide what to build, explore features to model and how you’ll scale our approach risk scoring. .
Expect your work to span:
- Modeling. Design, build, and validate credit risk models (PD, LGD, EAD, fraud, exposure sizing, pricing) against our proprietary reciprocal-bureau data and external signals. Choose the right tool for the job — gradient-boosted trees, deep models, LLMs, or classical statistical models — and defend the choice.
- Data engineering. Build the pipelines, feature logic, and training datasets that your models (and future models) run on. At this stage, the MLE owns the full data path; over time we'll grow a team around you.
- Productionization. Ship models into production systems where they make real decisions on real dollars. Own deployment, monitoring, drift detection, and iteration.
- Partnering cross-functionally. Work closely with product, engineering, capital markets, and external lending and insurance partners. Explain your models to people who care about the outcomes but not the math, and translate their constraints back into modeling decisions.
- Shaping the team. Help define the hiring bar and interview process for the data scientists and MLEs who will join after you. You'll have a strong voice in what this team becomes.
Qualifications
- 5+ years of experience building models for production use cases.
- Deep modeling skill: strong command of supervised learning on tabular data, including feature engineering, model selection, hyperparameter tuning, calibration, and rigorous offline and online evaluation.
- Strong data engineering skills — comfortable owning ETL and feature pipelines end-to-end against real, messy production data (SQL and a modern data-processing stack).
- Proficiency in Python and the modern ML ecosystem (pandas, scikit-learn, PyTorch or TensorFlow, XGBoost/LightGBM, Jupyter, etc.).
- Solid statistical reasoning — you can spot leakage, selection bias, label noise, and spurious correlations, and you know why your offline metric doesn't always predict online performance.
- Track record of owning models end-to-end: not just prototyping in a notebook, but taking something from a problem statement to a production system that makes decisions.
- Excellent written and spoken English communication skills; ability to explain model behavior, tradeoffs, and limitations to non-ML audiences (product, ops, capital partners, leadership).
- The spirit of a team player who believes in fostering a healthy and supportive work environment.
Bonus Qualifications
- Direct experience in credit risk modeling — PD/LGD/EAD models, scorecards, underwriting models, exposure management, or collections modeling — particularly for SMB or subprime segments.
- Experience in fintech, lending, payments, fraud, or insurance, or with regulated modeling environments (model risk management, adverse action, fair lending).
- Experience building or operating ML platform components — feature stores, model registries, training orchestration, online serving, monitoring/drift detection.
- Backend engineering depth: comfortable writing production services, designing APIs, and reasoning about distributed systems that consume your models.
- Strong data analysis background — fluency in exploratory analysis, experimentation, and translating data into product and business decisions.
- Experience with LLMs and agentic systems applied to operational problems (document understanding, KYB, entity resolution, agent tooling).
- Experience as the first or founding ML hire at a company, or early on a team that had to build ML infrastructure from scratch.
- Published research, Kaggle placements, or prominent OSS contributions in the ML or data ecosystem.
- BA or BS in Computer Science, Statistics, Mathematics, a related technical field, or equivalent practical experience.
- Advanced degree (MS or PhD) in a quantitative field.
Equal Employment Opportunity
Wholesail is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, national origin, sex, gender identity or expression, sexual orientation, age, marital status, veteran status, disability status, pregnancy, or any other characteristic protected by federal, state, or local law. Employment decisions at Wholesail are based on qualifications, merit, and business needs. We encourage applicants from all backgrounds to apply.
Ready to apply?
Apply to Wholesail
Senior Business Intelligence Analyst
Share this job
About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About this role
We are looking for an experienced Senior Business Intelligence Analyst to scale a critically important function responsible for building and maintaining systems, processes and services that enable us to understand financial performance and unlock key business insights at Faire. The ideal candidate for this role will ensure key accounting procedures are automated in ways that are accurate, efficient, easy-to-understand, and scalable. This role will sit in the Finance department and collaborate with team members from a breadth of functional groups across Faire, including Accounting, Finance & Strategy, Engineering and Data Infrastructure. This role will have a tremendous impact on the ability for Faire employees to use data effectively in order to report numbers externally and make impactful decisions internally. As an early member of a burgeoning team, you will have the opportunity to write the roadmap for how we improve access to business critical data and unlock automation that amplifies the impact of a variety of functions.
What you’ll do
- Scope, design, create, and manage complex ETL flows that aggregate and synthesize key business performance metrics and financial reporting, ensuring efficient, accurate, and scalable data models using best practices
- Act as a trusted analytical partner to the Accounting and Finance teams providing technical expertise, gathering requirements from product and operational teams, and enabling data-driven decision-making and accountability by ensuring core ledgers accurately reflect business changes
- Collaborate closely with Engineering, Data Infrastructure, and other stakeholders as a key translator and process improver, gathering requirements and delivering impactful data solutions that ensure alignment and efficiency across the organization
- Lead initiatives to drive data strategy, roadmap planning, and prioritization, ensuring alignment with business objectives
- Act as a thought leader to expand the team’s influence and impact throughout the Finance team and the broader organization
- Drive workflow automation and innovation across Finance, including identifying and implementing Gen-AI–enabled productivity solutions to modernize processes and increase team leverage
Qualifications
- 5+ years of work experience in Business Intelligence, Analytics Engineering, Data Analytics, or comparable function
- Expert in SQL with focus on data modeling, large-scale data processing, and tool development for analytics or Financial use cases.
- Experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms
- Experience with analytics workflow tools (examples: Airflow, Docker, dbt), data warehousing and storage (examples: Snowflake, BigQuery, Redshift, S3), and data visualization tools (examples: Mode, Tableau, Looker)
Nice to have:
- Experience with Python, R or other programming languages
- BA/BS degree, ideally in computer science, math or another quantitative field
- Familiarity with version control using Git and proficiency in command-line tools for workflow automation and data manipulation
Salary Range
San Francisco and New York: The pay range for this role is $174,500 to $240,000 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Ready to apply?
Apply to Faire
Growth Marketing Manager, Paid Social
Share this job
About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About this role
We are looking for a highly analytical and resourceful Growth Marketing Manager to drive the execution of our paid social and retargeting programs. This is an experimentation-heavy role focused on advancing a broad range of growth initiatives, from scaling Faire’s paid retargeting program to launching brand acquisition tests. Additionally, the role will support day-to-day paid social campaign management to ensure we hit KPI goals through the optimization of key performance levers. The ideal candidate is a scrappy, metrics-driven self-starter who is well-versed in the Meta platform and other paid social platforms, is comfortable managing campaigns with some guidance, and is eager to continuously explore new ways to incorporate AI into their workflows for increased efficiency. The ideal candidate is plugged into the social media landscape, staying current with creative trends and innovative campaigns from other companies to introduce fresh ideas. Has a track record of using AI tools to automate team workflows, accelerate creative testing, and launch new channel experiments with minimal engineering or analytics support.
What you’ll do
- Execute and scale retargeting campaigns to drive repeat retailer purchases and improve retention, while maintaining strict efficiency goals.
- Assist in the day-to-day operations of our paid social program to analyze daily campaign performance and explore optimization opportunities (e.g. creatives, bidding, landing pages) in order to hit weekly KPI targets focused on maximizing user growth while maintaining efficient acquisition costs
- Lead the execution of new high-impact pilot growth projects that require quick implementation and are not yet a part of our evergreen programs.
- Identify opportunities to leverage AI and automation tools to streamline campaign processes, reporting and experimentation workflows.
- Collaborate with cross-functional teams to tackle a variety of challenges including troubleshooting tracking issues, coordinating with creative teams, and identifying resourceful, data-driven solutions to achieve KPI goals.
Qualifications
- 3-5 years direct, hands-on experience managing medium scale campaigns on Meta and other paid social channels with focus on optimizing for down-funnel metrics.
- Strong understanding of paid marketing metrics (CPM, CTR, CVR) and the appropriate levers to pull in different scenarios
- Proficiency with marketing automation tools for optimizing and making bulk campaign changes (e.g. Smartly, Hunch, Omneky)
- Highly analytical with a structured approach to solving problems. Proficient in analyzing large datasets through Excel and/or SQL and data visualization tools (e.g. Mode and Tableau)
- Experience using AI and automation to improve workflows and output quality such as campaign QA and analytics
- Track record as a fast learner with a knack for creative and technical solutions.
- Familiarity with AB testing and incrementality testing
- Experience using paid marketing for retargeting and reengagement a strong plus
- Experience in a two-sided marketplace or with products aimed at small business owners is a strong plus
- Experience in managing a cross-border program is a plus
- Ability to thrive in a fast-paced, constantly changing environment, with the agility and flexibility to balance multiple priorities simultaneously
San Francisco: the pay range for this role is $118,500 to $163,000 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Ready to apply?
Apply to Faire
About Faire
Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.
We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About this role
As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the technical bridge between data science and production engineering. You’ll be joining a small but deeply critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.
What You Will Do
- Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows
- Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows
- Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models
- Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage
- Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions)
- Optimize performance, reliability, and cost across training and inference workloads
- Configure Identity and Access Management (IAM) and Role Based Authentication Controls (RBAC) for sensitive data sets
- Establish observability for data quality, model performance, and platform health
- Build and maintain ML Platform technical documentation
What it takes
- 8+ years of experience building production ML or data platforms
- A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
- Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow.
- Proficiency in Python, SQL, and distributed systems concepts
- Experience with cloud platforms and infrastructure-as-code
- Solid understanding of MLOps best practices: CI/CD, monitoring, reproducibility, and security
- Experience supporting multiple ML teams in a shared platform environment
- Are an active owner of orphaned problems and are willing to assimilate whatever knowledge you’re missing to get the job done
Tech Stack
Faire uses a modern cloud based tech stack. For this role, you’ll want to be proficient with the following:
|
Category |
Technologies |
|
Languages |
Python, SQL, Kotlin |
|
ML Frameworks |
PyTorch, MLFlow |
|
Big Data & Processing |
Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL |
|
Cloud & Infrastructure |
AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform |
|
Generative AI |
Claude Sonnet 4.5, ChatGPT 5.2 |
Salary Range
San Francisco: the pay range for this role is $246,500 to $339,000 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Why you’ll love working at Faire
- Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
- Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)
Ready to apply?
Apply to Faire
Director, Developer GTM
Share this job
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Locations: Austin, TX, New York, SF
About Cloudflare
At Cloudflare, our mission is bold yet simple: to help build a better Internet. Our global network handles trillions of requests each month, protecting and accelerating applications without added hardware, software, or code changes. Our Developer Platform, including Workers, Workers AI, R2, KV, Durable Objects, and Pages, empowers developers to build and deploy applications globally, faster than ever before.
About the Team
The Developer GTM organization is a startup within Cloudflare, driving how we attract, inspire, and grow the next generation of builders. We are redefining what developer acquisition looks like in a world where AI and distributed agents are reshaping the stack. Our mission is to create new pathways for developers to discover Cloudflare, whether through ecosystem partnerships, high impact content, or creative field engagement.
We are builders, storytellers, and connectors united by one goal: to make Cloudflare the most exciting place for developers to build.
The Developer Solution Strategist (DSS) organization sits inside Developer GTM and partners tightly with Sales, Product, Finance, Legal, PMM, and DevRel. DSS connects developer activation to durable commercial outcomes: shaping usage into clear proposals, aligning pricing and packaging, enabling the field with repeatable plays, and feeding real-world signal back into product and go-to-market.
About the Role
We are hiring a Director, Developer Solution Strategists to lead regional Managers in Americas, EMEA, and APAC, each managing teams of Solution Strategists aligned to their sales regions. You will set the global DSS strategy, standardize operating rhythms, hire and develop managers, and ensure consistent execution on activation → expansion → commercial structure—while keeping pricing/contract approvals with the right governance teams.
This leader is equally fluent in developer workloads and commercial mechanics, can operate from strategy to hands-on deal guidance, and is energized by building a high-trust partnership with field leadership worldwide.
What You Will Do
- Own the global DSS strategy and operating model. Define goals, scorecards, and cadences for regional teams (usage activation, expansion, proposal velocity, win rate, disciplined discounting, sourced/influenced pipeline).
- Build and lead a high-performing, distributed org. Hire, develop, and coach regional Managers; set expectations, run QBRs, and establish a clear career ladder for Solution Strategists.
- Drive activation → expansion for priority workloads. Ensure teams use usage telemetry to identify “next-best actions,” expansion paths, and strategic accounts; publish a weekly global “usage radar.”
- Standardize commercial design. Maintain global proposal templates, option frameworks (PAYG vs. commit), ROI/TCO narratives, concession “give/get” rules, and approval SLAs. Pricing and non-standard terms remain with Finance/Legal; DSS designs and shepherds.
- Run pipeline and deal reviews. Establish a global rhythm for opportunity triage, strategic deal reviews, and win/loss analysis; surface systemic blockers and drive resolution with Sales, Deal Desk, Security, and Legal.
- Enable the field at scale. Ship workload blueprints, playbooks, calculators, objection handling, and talk tracks; run monthly regional enablement with Sales leadership and measure adoption and lift.
- Close the loop with Product & PMM. Translate field insights into clear, quantified recommendations on positioning, packaging, limits, and roadmap; track impact ($) of changes.
- Partner with Programs. Support startups/accelerators and targeted campaigns with BDR/Marketing, with a clear sunset plan as regions become self-sufficient.
- Forecasting & planning. Own DSS headcount planning, coverage models by segment/geo, and quarterly objectives; partner with RevOps for attribution and instrumentation.
- Culture & quality. Raise the bar on writing, narrative clarity, and executive communication; model Cloudflare’s values in every region.
Who You Are
- 10+ years in developer platforms, pre-sales/solutions, deal strategy, or commercial architecture; 4+ years leading managers across multiple regions/time zones.
- Proven ability to translate technical workloads into compelling commercial outcomes and navigate complex approvals with Sales, Finance, Legal, and Security.
- Builder’s mindset with strong operational chops: you design operating models, write crisp narratives, and drive cross-functional execution.
- Data-driven and fluent in product usage telemetry; comfortable with Sheets/SQL-level analysis to size opportunities and measure impact.
- Exceptional communicator—clear writer and presenter—from developer ICs to executive sponsors.
- Experience enabling large field organizations with playbooks, training, and tooling; passion for coaching managers and building bench strength
- Background in usage-based/consumption pricing and commit structures
- Experience with startup programs or digital-native segments
- Prior work in multiple geographies (Americas, EMEA, APAC) and with marketplace motions
Compensation
Compensation may be adjusted depending on work location.
- For Bay Area based hires: Estimated annual salary of $314,000 - $393,000 - $431,000
- For NYC based hires: Estimated annual salary of $300,000 - $393,000 - $413,000
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
- Medical/Rx Insurance
- Dental Insurance
- Vision Insurance
- Flexible Spending Accounts
- Commuter Spending Accounts
- Fertility & Family Forming Benefits
- On-demand mental health support and Employee Assistance Program
- Global Travel Medical Insurance
Financial Benefits
- Short and Long Term Disability Insurance
- Life & Accident Insurance
- 401(k) Retirement Savings Plan
- Employee Stock Participation Plan
Time Off
- Flexible paid time off covering vacation and sick leave
- Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.
Ready to apply?
Apply to Cloudflare
Senior Analyst, Analytics Engineering
Share this job
Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io.
At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.
As a Senior Analyst, Analytics engineering, you’ll enable our analytics community to get the most out of our data. You’ll support analysts of varying levels of scope and experience by building, maintaining, and governing a data warehouse of operational and financial data.
You’ll keep us on the cutting edge of AI-driven analytics by partnering with Data Ops to develop a semantic layer and various agents to facilitate faster, better, and more interpretable insights.
We're seeking someone based near one of the following cities: San Francisco, Salt Lake City, Chicago, or New York City.
RESPONSIBILITIES
- Develop and maintain data models in Snowflake with dbt
- Design and build a testing and alerting framework to improve data quality
- Create data governance/democratization policies to support the broader analyst community
- Design and build a self-service analytics AI framework, including both the semantic modeling and tooling architecture
Partner with Data Engineering to optimize data staging in Snowflake
QUALIFICATIONS
- 4+ years of experience in data engineering, analytics, or data science
- A bachelor’s degree in Computer Science, Information Systems, Statistics, or another quantitative field
- Advanced SQL knowledge (experience with dbt is a plus)
- Moderate Python knowledge (JavaScript knowledge is a plus)
- Experience building complex data pipelines using engineering best practices in platforms like Airflow or Prefect
Strong organizational discipline and quality assurance skills
PERKS & BENEFITS
- We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
- Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
- Mental Health benefits with covered therapy and coaching.
- 401(k) program to help you invest in your future.
- Education & learning stipend for personal growth and development.
- Flexible vacation time to promote a healthy work-life blend.
- Paid parental leave to support you and your family.
- Company-wide recharge days each quarter.
- Work from home stipend to help you succeed in a remote environment.
The annual salary hiring range for this position is $120,000 - $145,000 USD.
Compensation is based on factors unique to each candidate, including, but not limited to, job-related skills, qualification, education, experience, and location. At Gong, we have a location-based compensation structure, which means there may be a different range for candidates in other locations. The total compensation package for this position, in addition to base compensation, may include incentive compensation, bonus, equity, and benefits. Some of our sales compensation programs also offer the potential to achieve above targeted earnings for those who exceed their sales targets.
We are always looking for outstanding Gongsters! So if this sounds like something that interests you regardless of compensation, please reach out. We may have more roles for you to consider and would love to connect.
We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Gong recruiting email communications will always come from the @gong.io domain. Any outreach claiming to be from Gong via other sources should be ignored.
Gong is an equal-opportunity employer. We believe that diversity is integral to our success, and do not discriminate based on race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, military status, genetic information, or any other basis protected by applicable law.
To review Gong's privacy policy, visit https://www.gong.io/gong-io-job-candidates-privacy-notice/ for more details.
#LI-NK1
Ready to apply?
Apply to Gong.io
Strategic Projects Lead - Coding
Share this job
Scale’s Generative AI business unit is currently seeing historic levels of growth. As a Strategic Projects Lead (SPL), you will lead initiatives that will drive $XXM+ in new revenue for the business. This is a demanding role, and as an SPL, you should be prepared to wear many hats across all dimensions of Operations. The ideal SPL should have a strong entrepreneurial mindset, be comfortable getting into the weeds, and be excited about intense, impactful work that leads to accelerated career progression.
You will:
- Serve as the full owner of our most visible and high impact customer pipelines, making decisions that directly impact data quality, operational efficiency, revenue, and margins
- Understand customer requirements and design data taxonomy best suited to improving model performance based on customer needs
- Build out pipeline infrastructure to ensure quality and efficiency
- Train, coach, and manage dynamic and global teams
- Build analytics to make data-driven decisions
- Partner with diverse stakeholders (Engineering + Product + Ops + Go-to-Market) to work on problems that will drive advancements for the largest LLMs in the world
- Give regular progress updates to Scale’s executive team
- A strong technical background is required for this position. For example, a degree in Machine Learning Engineering, Computer Science, or Software Engineering. The role requires the ability to do data analytics using SQL, Python, and a high proficiency in understanding Software Engineering processes
- 3+ years of experience leading a team/projects, managing operational processes, or 3+ years of experience as a SWE
- Strong problem-solving capabilities in technical environments - ability to come up with creative solutions to complex, ambiguous, operational, and technical problems
- Entrepreneurial experience and mindset - you are excited about building things from scratch and can identify issues and execute quickly
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIStaff Software Engineer, Enterprise GenAI
Share this job
Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.
You will:
- Own large new areas within our product
- Work across backend, frontend, and interacting with LLMs and ML models
- Deliver experiments at a high velocity and level of quality to engage our customers
- Work across the entire product lifecycle from conceptualization through production
- Be able, and willing, to multi-task and learn new technologies quickly
Ideally you'd have:
- 7+ years of full-time engineering experience, post-graduation
- Experience scaling products at hyper growth startups
- Experience tinkering with or productizing LLMs, vector databases, and the other latest AI technologies
- Proficient in Python or Javascript/Typescript, and SQL
- Experience with Kubernetes
- Experience with major cloud providers (AWS, Azure, GCP)
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIAbout the Role
The Director of Business Systems will be responsible for building real depth across Finance, GTM, Operations, and People systems, connecting these capabilities into a powerful, AI-integrated backbone.
You are a builder-first leader who will blend enterprise architecture with cutting-edge AI automation. Your goal is to eliminate fragmentation and enable every function to move faster by deploying internal AI agents that reduce manual work and surface actionable insights. You will lead the charge in making our internal operations as sophisticated as the external products we build.
Key Responsibilities
- Enterprise Application Strategy: Own the full lifecycle of our application ecosystem, including ERP (Finance), CRM (GTM), HRIS (People), and specialized AI tools. Ensure these systems converge into a secure, scalable backbone.
- AI Agent Deployment: Identify opportunities to replace manual workflows with AI/LLM-powered agents. Build and manage "internal agents" that automate forecasting, revenue capture, and employee self-service.
- Cross-Functional Partnership: Serve as the primary technology partner to the leadership team. Align system roadmaps with departmental goals to ensure seamless data flow from production to the back office.
- Operational Excellence: Mature our core systems by establishing disciplined change management, clear data governance, and measurable SLAs. Stabilize environments to support audit and regulatory requirements.
- Team Leadership: Lead a high-impact team that fosters a culture of curiosity, speed, and user-centricity.
Ideally, you have:
- 10+ years of experience leading business systems or enterprise applications in a fast-paced, high-growth environment.
- Technical Depth: Strong functional understanding of Salesforce (or equivalent CRM), NetSuite (or equivalent ERP), and Workday (or equivalent HRIS).
- AI/Automation Mindset: Proven track record of designing and deploying AI/LLM-powered workflows or agentic systems to improve business efficiency.
- Architecture Skills: Ability to design scalable data flows and APIs that link disparate SaaS tools into a cohesive ecosystem.
- Stakeholder Mastery: Experience influencing C-level executives and translating complex technical needs into business outcomes.
- Skilled in Python or SQL to personally audit or prototype automation logic.
- Extensive experience and In depth knowledge of the functionality of the ERP modules with emphasis on Sales – Order to Cash & Sales Audit, Purchasing – Direct & Indirect and Finance - General Ledger, AP & AR, Procure to Pay, Sales Audit, Fixed Assets, International Consolidations & Reporting
- Experience with GTM systems such as, HubSpot, Outreach, Clari, CPQ (e.g., Salesforce CPQ), and similar tools.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AIStaff Infrastructure Software Engineer, Enterprise AI
Share this job
The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus. You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail.
What You’ll Do:
- Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers.
- Use our own data and AI platform to analyze build and test logs and metrics to identify areas for improvement.
- Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers.
- Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.
- Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs.
- Design and champion highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale.
- Lead the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies.
- Own the development and maintenance of our best-in-class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response.
- Drive developer efficiency by building automated tooling and championing Infrastructure-as-Code (IaC) paradigms throughout the engineering organization to improve workflows and operational efficiency.
What We're Looking For:
- Proven experience in a senior role, with 5+ years of full-time software engineering experience.
- Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana).
- Extensive experience with at least one major cloud provider (AWS, Azure, or GCP).
- Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups.
- Proficiency in Python or JavaScript/TypeScript, and SQL.
- Bonus points: Hands-on experience and a passion for working with Agents, LLMs, vector databases, and other emerging AI technologies.
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Ready to apply?
Apply to Scale AI