We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Role Overview

As our Staff Machine Learning Engineer for Coupang Media Group, Ads Quality, you will be responsible for developing, designing machine learning models, optimization algorithms and new product features for our advertising platform. 

The Coupang Media Group (CMG) is responsible for providing vendors that sell their products on Coupang a host of marketing products and services.  We launched Product Ads performance advertising marketplace late in 2018.  We have grown rapidly to over 10,000 active advertisers and 150M daily ad impressions in only 5 months’ time. Our group is responsible for advertising brands and products inside our e-commerce website. To get an idea of how valuable that is, both Alibaba and Amazon make more money on advertising than on selling products.  

This is an opportunity to be part of building up a new development organization with strong revenue potential inside a successful company. We’re building full-stack engineering teams to handle large scale advertising problems, including real-time behavioral targeting, auctioning and bidding systems and search based advertising. 

We are in the growth phase of the organization, so you’ll be a part of managing the transition from growth phase to enterprise processes. 

In this role you will be responsible for innovating and building our new ad quality stack for our ads platform  and eventually extend it into a full ad exchange, DSP, and SSP. We currently handle about 1bn impressions per day from internal traffic alone. 

What You Will do

• Design features and build large-scale machine learning models and systems to improve ad targeting, relevance, ranking, and engagement 
• Design and implement large-scale ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery using state-of-the-art techniques such as transformer-based models, contrastive learning, and vector search
• Drive innovation in search relevance and user intent modeling using large language models (LLMs), embedding-based retrieval, and multi-modal learning
• Build and optimize ML pipelines using tools such as Apache Spark, Airflow, Kubeflow, and MLflow, ensuring reproducibility, scalability, and operational excellence
• Define and track key performance metrics to evaluate model impact and identify high[1]leverage opportunities for improvement
• Collaborate cross-functionally with product, engineering, and data science teams to align technical solutions with business goals and customer experience
• Mentor and grow engineering talent, fostering a culture of technical excellence, experimentation and continuous learning

Basic Qualifications

• Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields
• 4 years of professional experience in applied machine learning
• Experience in machine learning, deep learning, and statistical modeling
• Proficiency in Python and/or Java, with experience in building production grade ML systems

Preferred Qualifications

• Master’s or PhD in relevant technical fields
• Experience with search systems, information retrieval or recommendation engines
• Experience with LLMs, embeddings, and vector search technologies
• Experience with cloud platforms such as AWS, Google Cloud Platform including services like Vertex AI, BigQuery or SageMaker
• Experience working in startup or high-growth environments
• Proven ability to lead-cross-functional teams and deliver results in a multicultural, global organization
• Hands-on experience with modern ML frameworks such as TensorFlow, PyTorch, Scikit[1]learn, Keras, XGBoost, LightGMB, and H2o.ai
• Experience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker
• Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders
• Demonstrated ability to work independently and manage ambiguity in fast-paced environments

Pay & Benefits

Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation.

The base pay for Staff position ranges from $152K/year to $261K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

General Description of All Benefits

• Annual bonus is 0-20% of the base salary
• Medical/Dental/Vision/Life, AD&D insurance
• Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
• Long-term/Short-term Disability
• Employee Assistance Program (EAP) program
• 401K Plan with Company Match
• 18-21 days of the Paid Time Off (PTO) a year based on the tenure
• 12 Public Holidays
• 6 weeks Paid Parental leave
• Pre-tax commuter benefits
• MTV - [Free] Electric Car Charging Station

General Description of Other Compensation

“Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate.

Recruitment Process and Others

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer

• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.

• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.

• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.

• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/

If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at usrecruiting@coupang.com.

Requisition ID: R0072711

Please complete the attached Internal Transfer Request Form and submit.  

Please make sure to apply with your Coupang e-mail address.  

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Role Overview

As our Staff Machine Learning Engineer for Coupang Media Group, Ads Quality, you will be responsible for developing, designing machine learning models, optimization algorithms and new product features for our advertising platform. 

The Coupang Media Group (CMG) is responsible for providing vendors that sell their products on Coupang a host of marketing products and services.  We launched Product Ads performance advertising marketplace late in 2018.  We have grown rapidly to over 10,000 active advertisers and 150M daily ad impressions in only 5 months’ time. Our group is responsible for advertising brands and products inside our e-commerce website. To get an idea of how valuable that is, both Alibaba and Amazon make more money on advertising than on selling products.  

This is an opportunity to be part of building up a new development organization with strong revenue potential inside a successful company. We’re building full-stack engineering teams to handle large scale advertising problems, including real-time behavioral targeting, auctioning and bidding systems and search based advertising. 

We are in the growth phase of the organization, so you’ll be a part of managing the transition from growth phase to enterprise processes. 

In this role you will be responsible for innovating and building our new ad quality stack for our ads platform  and eventually extend it into a full ad exchange, DSP, and SSP. We currently handle about 1bn impressions per day from internal traffic alone. 

What You Will do

• Design features and build large-scale machine learning models and systems to improve ad targeting, relevance, ranking, and engagement 
• Design and implement large-scale ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery using state-of-the-art techniques such as transformer-based models, contrastive learning, and vector search
• Drive innovation in search relevance and user intent modeling using large language models (LLMs), embedding-based retrieval, and multi-modal learning
• Build and optimize ML pipelines using tools such as Apache Spark, Airflow, Kubeflow, and MLflow, ensuring reproducibility, scalability, and operational excellence
• Define and track key performance metrics to evaluate model impact and identify high[1]leverage opportunities for improvement
• Collaborate cross-functionally with product, engineering, and data science teams to align technical solutions with business goals and customer experience
• Mentor and grow engineering talent, fostering a culture of technical excellence, experimentation and continuous learning

Basic Qualifications

• Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields
• 4 years of professional experience in applied machine learning
• Experience in machine learning, deep learning, and statistical modeling
• Proficiency in Python and/or Java, with experience in building production grade ML systems

Preferred Qualifications

• Master’s or PhD in relevant technical fields
• Experience with search systems, information retrieval or recommendation engines
• Experience with LLMs, embeddings, and vector search technologies
• Experience with cloud platforms such as AWS, Google Cloud Platform including services like Vertex AI, BigQuery or SageMaker
• Experience working in startup or high-growth environments
• Proven ability to lead-cross-functional teams and deliver results in a multicultural, global organization
• Hands-on experience with modern ML frameworks such as TensorFlow, PyTorch, Scikit[1]learn, Keras, XGBoost, LightGMB, and H2o.ai
• Experience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker
• Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders
• Demonstrated ability to work independently and manage ambiguity in fast-paced environments

General Description of All Benefits

• Annual bonus is 0-20% of the base salary
• Medical/Dental/Vision/Life, AD&D insurance
• Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
• Long-term/Short-term Disability
• Employee Assistance Program (EAP) program
• 401K Plan with Company Match
• 18-21 days of the Paid Time Off (PTO) a year based on the tenure
• 12 Public Holidays
• 6 weeks Paid Parental leave
• Pre-tax commuter benefits
• MTV - [Free] Electric Car Charging Station

General Description of Other Compensation

“Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race (including traits historically associated with race, including but not limited to hair texture and protective hair styles), color, religion, religious creed (including religious dress and grooming practices), sex or gender (including pregnancy, childbirth, breastfeeding, and medical conditions related to pregnancy, childbirth or breastfeeding), gender identity, gender expression, sexual orientation, ,ancestry, national origin (including language use restrictions), age (40 and over), physical or mental disability, medical condition, genetic information, HIV/AIDS or Hepatitis C status, family status (including but not limited to marital or domestic partnership status), military or veteran status, use of a trained dog guide or service animal, political activities or affiliations, ancestry, citizenship, family and medical leave status, status as a victim of any violent crime, or any other characteristic or class protected by the laws or regulations in the locations where we operate.

Recruitment Process and Others

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer

• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.

• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.

• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.

• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/

If you need assistance and/or a reasonable accommodation in the application of recruiting process due to a disability, please contact us at usrecruiting@coupang.com.

Requisition ID: R0072711

Please complete the attached Internal Transfer Request Form and submit.  

Please make sure to apply with your Coupang e-mail address.  

Our mission

Whop’s mission is to deliver everyone a sustainable income. Today, we help millions of people do so, a reflection of just how much the world of work is changing, for young people in particular.

About the role

Whop is looking for Data Scientists to help build the company’s decision system. You’ll own the data layer behind how we understand growth, product performance, marketplace dynamics, and financial/operating health. You’ll work directly with product, growth, finance, and leadership to answer the questions that determine where Whop should invest, what is working, what is breaking, and how we scale faster.

What you'll do

• Turn messy product, marketplace, and financial data into clear operating insights.
• Build dashboards, metrics, and analyses that leadership and teams actually use to make decisions.
• Identify growth drivers, retention patterns, funnel issues, marketplace quality signals, and monetization opportunities.
• Partner with product and engineering to define metrics, improve instrumentation, and measure launches.
• Create board- and leadership-ready views of company performance.
• Proactively surface anomalies, risks, and opportunities before teams ask for them.

What you need

• Experience working in a data science, analytics, or strategic data role at a high-growth technology company.
• Experience turning ambiguous business questions into clear analysis, metrics, and recommendations.
• Ability to work with messy, incomplete, or fast-changing data.
• Strong product and business judgment; you can tell the difference between interesting analysis and useful analysis.
• Clear communication with technical and non-technical teams.
• High agency: you do not wait for perfect instructions before finding important problems to solve.
• Comfort operating close to founders, leadership, product, engineering, growth, and finance.

Nice-to-haves

• Experience in marketplaces, fintech, consumer products, creator platforms, or high-growth startups.
• Strong SQL and comfort working with messy production data.
• Experience with tools like BigQuery, Metabase, Mixpanel, GA4, or similar.
• Ability to explain complex analysis simply and influence decisions without overcomplicating the work.
• Strong product intuition and commercial judgment.
• Bias toward action; you care more about useful answers than perfect models.

Benefits

• $250,000K+ and a competitive equity package
• Unlimited PTO, with full health, vision, dental coverage
• Free access to Equinox
• Lunch & dinner paid for Monday thru Friday
• The latest MacBook Pro & tech accessories
  
  

About Whop

Whop is a financial technology company on a mission to provide the world with sustainable income. Our vision is to create the world’s largest internet market, where people can create, connect, and transact all from a single platform. Whop enables individuals and businesses to accept payments, launch ventures, and engage with others across the network. 

Today, Whop facilitates over $3 billion in annual payouts to people in 144 countries, with gross transaction volume increasing roughly 25% month over month. 

Whop has raised hundreds of millions from institutional investors like Insight, Bain Capital Ventures, A*, and Peter Thiel — including a recent strategic investment from Tether, the largest stablecoin company in the world.

Our current team is a mix of young, passionate entrepreneurs who grew up on the internet and experienced engineers and operators from Robinhood, Meta, Roblox and others.

#LI-PM1

ABOUT PLACER.AI: 

Placer.ai is transforming how organizations understand the physical world. Our location analytics platform provides unprecedented visibility into locations, markets, and consumer behavior. Placer empowers thousands of customers—from Fortune 500 companies, to local governments and nonprofits— to make smarter, data-driven decisions.

What sets us apart? We've built the most advanced location intelligence platform in the market while maintaining an uncompromising commitment to privacy, proving that powerful analytics and responsible data practices can coexist.

Our growth reflects the market's demand: we reached $100M in annual recurring revenue within just 6 years of launching, achieved unicorn status with a $1B+ valuation in 2022, and continue to expand rapidly as one of North America's fastest-growing tech companies. We're creating a $100B+ market opportunity, and we're just getting started.

Named one of Forbes America's Best Startup Employers and a Deloitte Technology Fast 500 company, we're building a culture where innovation thrives, collaboration is the norm, and every team member contributes to reshaping how the world understands location.

SUMMARY:

We’re looking for a Senior Backend Engineer to join Placer.ai’s core engineering group and build the systems behind one of the world’s largest location-analytics platforms.

In this role, you’ll work on backend services that process and serve billions of data points, power ML-driven insights, and operate at high scale and high reliability. If you’re motivated by hard technical challenges, modern infrastructure, and collaborating with strong engineers, this role is built for you.

RESPONSIBILITIES:

• Design, build, and evolve large-scale, distributed backend systems that power Placer.ai’s data and AI products
• Own services end-to-end — from architecture and design to production, monitoring, and continuous improvement
• Drive performance, scalability, and reliability, using data and metrics to guide decisions
• Build infrastructure and data pipelines that support machine-learning, analytics, and real-time use cases
• Partner closely with Product, Data Science, and Analytics to turn complex data into impactful product features
• Raise the engineering bar through code reviews, design discussions, and technical mentorship

REQUIREMENTS:

• 7+ years of backend engineering experience in high-scale B2B SaaS or data-driven products
• Proven track record building and maintaining production-grade distributed systems
• Strong proficiency in one or more of: Python, Java, Go, Node.js, .NET — with a bias toward Python
• Solid engineering fundamentals: system design, data structures, APIs, testing, and observability
• Hands-on experience with data-intensive systems and complex data pipelines
• BSc in Computer Science or equivalent practical experience

AI Fluency:

• A genuine early adopter of emerging AI technologies — continuously explores new tools and paradigms, integrates them into practice ahead of the curve, and actively drives that culture within their team
• Applies AI tooling to elevate engineering quality: accelerating development cycles, improving code quality, automating repetitive work, and pushing the boundaries of what the team ships
• Raises the bar around them: inspires and challenges peers to think differently about how AI can change the way they build

OTHER REQUIREMENTS: 

• Deep experience with Python and MongoDB
• Experience with Google Cloud data technologies (BigQuery, Bigtable)
• Hands-on with Docker, Kubernetes, and Infrastructure as Code
• Exposure to AI/ML-adjacent systems: data pipelines, feature stores, model serving, or analytics platforms
• Experience integrating or building on top of LLM APIs or AI services
• Familiarity with frontend frameworks or full-stack collaboration

WHY JOIN PLACER.AI? 

• Join a rocketship! We are pioneers of a new market that we are creating
• Take a central and critical role at Placer.ai
• Work with, and learn from, top-notch talent
• Competitive salary
• Excellent benefits
• Hybrid

NOTEWORTHY LINKS TO LEARN MORE ABOUT PLACER 

• Placer.ai's $100M round C funding (unicorn valuation!)
• See our data in action at The Anchor
• Placer.ai in the news
• Video: About Placer for Commercial Real Estate
• Video Playlist: Placer Brand & Explainer Videos

Placer.ai is committed to maintaining a drug-free workplace and promoting a safe, healthy working environment for all employees.

Placer.ai is an equal opportunity employer and has a global remote workforce. Placer.ai’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Placer.ai applicant who requires reasonable accommodations during the application process should contact Placer.ai’s Human Resources Department to make the need for an accommodation known.

#LI-AC1 May 2026

About Us (Ensono)

Ensono is an expert technology adviser and managed service provider. As a relentless ally, we accelerate clients’ digital transformation to achieve business outcomes that stand to last. Our dedicated team helps organizations optimize today’s systems across any hybrid environment with services such as consulting, mainframe and application modernization, public cloud migration and cloud-native development. With certified experts in AWS, Azure and Google Cloud and recognized as Microsoft Datacenter Transformation Partner of the Year, Ensono has over 3500+ associates globally and is headquartered in greater Chicago.

We care about your success, offering comprehensive strategic and managed services for mission-critical applications. Our Advisory and Consulting services can help upfront with an application strategy or find the right places for your applications – whether it’s public, multi or hybrid cloud, or mainframe. And because we span across all mission-critical platforms, we can meet you wherever you are in your digital transformation journey, with 24/7 support when you need it. We are your relentless ally, flexing with you when challenges emerge so you don’t feel stuck in place. With cross-platform certifications and decades of experience, our technology experts have become an extension of your team so you’re continuously innovating – doing more with less while remaining secure. And that’s just the beginning.

Job Description: Business Intelligence Manager

Position Summary

The Business Intelligence (BI) Manager is responsible for leading the strategy, development, and operational excellence of enterprise analytics, reporting, and AI-enabled insights. This role oversees BI platforms, data visualization, and analytical solutions—including the responsible application of AI and advanced analytics—to enable data-driven decision-making across the organization. The BI Manager partners with business leaders, data engineering, AI governance, and security teams to ensure insights are accurate, explainable, secure, and aligned with business priorities.

Key Responsibilities

Strategy & Leadership

• Define and execute the enterprise BI and analytics strategy, including AI-enabled insights, aligned to business objectives and data governance standards
• Lead, mentor, and develop a team of BI developers, analysts, and analytics engineers
• Establish prioritization frameworks for analytics and AI-driven use cases
• Serve as a trusted advisor to business and executive stakeholders on analytics and AI capabilities

Analytics, AI & Insights Delivery

• Oversee the design, development, and maintenance of dashboards, reports, predictive models, and AI-assisted analytics products
• Enable the use of AI for trend analysis, forecasting, anomaly detection, and insight generation using governed enterprise data
• Ensure consistent semantic models, metrics definitions, and explainable outputs across BI and AI solutions
• Partner with data science and data engineering teams to operationalize AI outputs into BI platforms and business workflows
• Drive adoption of AI-assisted self-service analytics while maintaining data quality, lineage, and control

Platforms & Technology

• Own BI and analytics platforms (e.g., Power BI, Tableau, Looker) and their integration with AI and cloud data platforms
• Support AI-enabled features such as natural language query, automated insights, and embedded copilots where appropriate
• Define standards for dashboard design, AI explainability, usability, accessibility, and performance
• Lead platform optimization, licensing strategy, and cost management across BI and AI tooling

AI Governance, Security & Responsible Use

• Ensure AI use of data complies with enterprise AI governance, security, privacy, and ethical standards
• Partner with security, risk, and compliance teams to enforce access controls, sensitivity labeling, and usage monitoring
• Support model transparency, bias awareness, and auditability for AI-derived insights
• Maintain documentation for AI use cases, assumptions, and limitations

Data Governance & Quality

• Enforce data governance, certification, and lifecycle management for BI and AI assets
• Establish data quality and AI output validation processes
• Maintain business glossaries, metric definitions, and AI-enabled analytics documentation
• Support audit, compliance, and regulatory requirements related to analytics and AI

Stakeholder Engagement & Value Realization

• Translate business questions into analytics and AI use cases with measurable outcomes
• Enable business teams through training on BI tools, AI-assisted analytics, and responsible usage
• Measure and report on analytics and AI value realization, adoption, and business impact

Required Qualifications

• Bachelor’s degree in information systems, Computer Science, Data Analytics, Business, or related field
• 7–10 years of experience in business intelligence, analytics, or data platforms
• 3+ years of experience leading BI or analytics teams
• Strong expertise in BI platforms (Power BI preferred) and enterprise data architectures
• Demonstrated understanding of AI-assisted analytics and advanced analytical techniques
• Proven experience partnering with senior business stakeholders
• Strong understanding of data governance, security, and compliance principles

Preferred Qualifications

• Experience in managed services, consulting, or multi-client environments
• Familiarity with cloud data platforms (e.g., Snowflake, Azure Synapse, BigQuery)
• Exposure to AI platforms, embedded analytics, or analytics copilots
• Knowledge of data cataloging, lineage, and governance tools (e.g., Microsoft Purview or equivalents)
• Experience operationalizing AI insights within enterprise reporting environments

Key Competencies

• Strategic analytics and AI thinking with operational execution
• People leadership and talent development
• Executive communication and stakeholder influence
• Data ethics, governance, and risk awareness
• Continuous improvement and innovation mindset

Success Measures

• Increased adoption of BI and AI-enabled insights across the enterprise
• Consistent, trusted, and explainable KPIs and AI outputs
• Improved time-to-insight and decision quality
• Strong governance, security, and audit outcomes
• Demonstrated business value from analytics and AI initiatives

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Lyft is looking for experienced software engineers from a scope of disciplines. We are growing our team with people who want to build, improve and incorporate technologies that make the lives of our community more enriched. As an engineer at Lyft, you'll collaborate with teams like product, data science, analytics, and operations on code that empower us to iterate quickly, while focusing on delighting our riders and drivers.

As a Software Engineer for Lyft Ads - you will work on one of Lyft’s newest lines of business focused on building the world’s largest transportation media network. We build products that allow brands to engage with our unique audience throughout their transportation journeys and beyond. For this role we are seeking software engineers who are passionate about backend and data engineering. You will join our Ad Infra Engineering team and contribute to building the systems and pipelines powering our ad-serving, measurement and audience platform. We work on technologies that let brands engage with our unique audience throughout their transportation journeys. This role is a great opportunity for an early-career engineer to gain experience working with distributed backend systems and large-scale data workflows, collaborating closely with product, analytics, and data science teams.

Why Lyft Ads?

• Be part of a high-impact team building the foundations of Lyft’s advertising infra
• Gain experience working with complex systems at scale, backed by mentorship and growth opportunities.
• Join a supportive, inclusive environment focused on engineering excellence and business impact.

Responsibilities:

• Develop and maintain backend systems that support real-time ad serving, campaign management, and reporting.
• Design and implement scalable data models to support analytics, targeting, and measurement use cases.
• Build and maintain data pipelines that handle ingestion, transformation, and distribution of large volumes of advertising data.
• Work with orchestration frameworks (e.g., Airflow) to schedule and monitor reliable, production-grade data workflows.
• Collaborate with cross-functional partners to integrate internal and third-party systems via APIs and batch data feeds.
• Write clean, maintainable, and testable code following best practices (CI/CD, observability, code reviews).
• Participate in architecture discussions and design reviews with an emphasis on performance and reliability.
• Learn and grow through mentorship, documentation, and regular team collaboration.

Experience:

• BSc/MSc in Computer Engineering, Computer Science, related field or relevant work experience
• 3+ years of industry experience in backend or data engineering roles
• Proficiency in at least one backend programming language (e.g., Python, Go, Java)
• Good understanding of distributed systems, microservices, and database design (SQL and NoSQL).
• Exposure to orchestration tools (e.g., Airflow, Prefect) and data distribution technologies (e.g., Kafka, Pub/Sub).
• Experience working with relational and non-relational databases (e.g., PostgreSQL, BigQuery, DynamoDB).
• Experience with Linux.

Benefits:

• Extended health and dental coverage options, along with life insurance and disability benefits
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• Access to a Lyft funded Health Care Savings Account
• RRSP plan with company match to help save for your future
• In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service 
• Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible.
• Subsidized commuter benefits and Lyft ride credits

Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Toronto area is CAD $108,000 - CAD $135,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions.

This job fills an existing vacancy.

Scopely is looking for a Lead Data Analyst to join our Finance team in Barcelona on a hybrid basis.

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. 

Show us the money! As the Finance team, we’re number crunchers with top-notch analytical and reporting skills. As a shared service, we get to work with all of Scopely's talented studios.

What You Will Do 

As a Lead Analytics Engineer, Finance, you will own and improve core finance analytics workflows that support monthly close, revenue reporting, audit support, and accounting analysis. You will partner closely with Accounting, Revenue, Game Analytics, Platform Analytics, and Engineering to build scalable data processes, investigate issues, and translate finance questions into durable data solutions.

• Lead recurring finance analytics workflows that support monthly close, revenue reporting, and accounting analysis.
• Own and review critical digital revenue reporting outputs and investigate issues related to data accuracy, completeness, and timing.
• Build, maintain, and improve SQL logic, validation checks, reporting workflows, and related finance data processes.
• Partner with Revenue Accounting, Game Analytics, and Platform Analytics teams to support item-based revenue recognition analyses, including consumable and durable logic, bundle allocations, paid versus earned currency treatment, virtual currency holding periods, and related user-behavior analyses.
• Monitor and maintain financial data pipelines, troubleshoot exceptions, and drive resolution when data is missing, delayed, or inconsistent.
• Design scalable controls, reconciliations, and documentation so recurring workflows are deterministic, auditable, and easier to hand off.
• Support quarterly and ad hoc finance analyses on purchases, player activity, and revenue trends that inform accounting conclusions and business decisions.
• Partner with Finance stakeholders to translate business questions into repeatable systems and durable reporting solutions instead of one-time analyses.
• Support audit requests by preparing evidence, explaining data logic, and coordinating with auditors and internal partners on finance systems and controls.
• Identify opportunities to automate manual finance processes and improve the scalability of the team’s reporting and operating model.
• Help define best practices for finance data tooling, runbooks, and documentation.

What We’re Looking For 

• Bachelor’s degree in Analytics, Statistics, Finance, Accounting, Economics, Computer Science, or another relevant quantitative field.
• 6+ years of experience in analytics, finance data, business operations, or related roles with ownership of business-critical workflows.
• Advanced SQL skills and proficiency in Python or another programming language used for data analysis, automation, and workflow support.
• Strong Excel / Google Sheets skills.
• Experience with cloud data warehouses and data platforms such as BigQuery, Snowflake, Redshift, AWS, Azure, or GCP-based workflows.
• Experience supporting finance, accounting, revenue reporting, monthly close, or audit-related data work.
• Strong understanding of reconciliation, controls, data quality, and process documentation.
• Ability to work cross-functionally and communicate clearly with both technical and non-technical stakeholders.
• Strong written and verbal communication skills, especially when explaining technical findings, risks, and tradeoffs to Finance partners.

Bonus Points 

• Experience in gaming, digital products, or revenue accounting.
• Experience building workflow automation, reusable analytical tooling, or documented runbooks.
• Experience supporting audit requests, finance systems controls, or operational process design.
• Experience mentoring analysts or informally leading cross-functional workstreams

Please submit your CV in English.

At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!

Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

This role will have access to sensitive and/or confidential employee or customer personally identifiable information (PII) and/or Company financial information, and therefore will be subject to background checks upon receiving a conditional offer of employment.

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a highly motivated and detail-oriented Manager, Corporate Accounting to lead key aspects of our accounting operations in a fast-paced environment. This role will own the integrity and efficiency of the close process, drive automation and system enhancements, and partner cross-functionally with Technical Accounting, Engineering, and Finance teams.

You will play a critical role in scaling accounting operations, improving processes, and ensuring accurate and timely financial reporting as the company grows.

This is a full-time position based out of our Denver or Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use:

Netsuite, Coupa, FloQast, BigQuery, AI Tools

What You’ll Do:

Team Leadership & Development

• Manage, mentor, and develop a team of corporate accountants, fostering a high-performance and continuous improvement culture

• Establish clear goals, priorities, and accountability across the team

• Drive process standardization and documentation to support scalability

Close & Financial Reporting

• Own and manage the monthly, quarterly, and annual close processes, ensuring accuracy and timeliness

• Review journal entries, account reconciliations, and flux analyses

• Ensure compliance with US GAAP and internal accounting policies

• Partner with Technical Accounting on complex accounting areas and new business initiatives

Systems, Automation & Process Improvement

• Lead initiatives to automate and streamline accounting workflows, reducing manual effort and risk

• Collaborate with Engineering and Data teams to enhance data pipelines and reporting accuracy

• Drive system integrations and improvements across financial systems

Cross-Functional Collaboration

• Partner closely with Technical Accounting on policy implementation, revenue recognition considerations, and complex transactions

• Work with Engineering and Data teams to improve data integrity, automate reporting, and support scalable infrastructure

• Collaborate with FP&A, Procurement, and other stakeholders to align on financial insights and operational needs

Controls & Compliance

• Strengthen and maintain internal controls over financial reporting

• Support audit processes (internal and external), including preparation of schedules and documentation

• Ensure compliance with SOX and company policies

Skills We’re Looking For:

• Bachelor’s degree in Accounting or Finance; CPA strongly preferred

• 5–7+ years of accounting experience, with a mix of public accounting and industry preferred

• Prior experience in a SaaS or high-growth technology company

• Proven experience managing and developing teams

• Strong understanding of month-end close, general ledger, and financial reporting processes

• Hands-on experience with NetSuite and close automation tools (e.g., FloQast)

• Experience working with large datasets or data tools (e.g., BigQuery) is a plus

• Demonstrated ability to drive process improvements and automation initiatives

• Strong cross-functional communication skills, especially with technical teams

Bonus Skills​:

• Exposure to AI tools (e.g., ChatGPT, Claude) for workflow or productivity enhancements

#LI-HYBRID #LI-JG1

About the Role

Fivetran is building data pipelines to power the modern data stack for thousands of companies.

We’re looking for a highly motivated and detail-oriented Manager, Corporate Accounting to lead key aspects of our accounting operations in a fast-paced environment. This role will own the integrity and efficiency of the close process, drive automation and system enhancements, and partner cross-functionally with Technical Accounting, Engineering, and Finance teams.

You will play a critical role in scaling accounting operations, improving processes, and ensuring accurate and timely financial reporting as the company grows.

This is a full-time position based out of our Denver or Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team.

Technologies You’ll Use:

Netsuite, Coupa, FloQast, BigQuery, AI Tools

What You’ll Do:

Team Leadership & Development

• Manage, mentor, and develop a team of corporate accountants, fostering a high-performance and continuous improvement culture

• Establish clear goals, priorities, and accountability across the team

• Drive process standardization and documentation to support scalability

Close & Financial Reporting

• Own and manage the monthly, quarterly, and annual close processes, ensuring accuracy and timeliness

• Review journal entries, account reconciliations, and flux analyses

• Ensure compliance with US GAAP and internal accounting policies

• Partner with Technical Accounting on complex accounting areas and new business initiatives

Systems, Automation & Process Improvement

• Lead initiatives to automate and streamline accounting workflows, reducing manual effort and risk

• Collaborate with Engineering and Data teams to enhance data pipelines and reporting accuracy

• Drive system integrations and improvements across financial systems

Cross-Functional Collaboration

• Partner closely with Technical Accounting on policy implementation, revenue recognition considerations, and complex transactions

• Work with Engineering and Data teams to improve data integrity, automate reporting, and support scalable infrastructure

• Collaborate with FP&A, Procurement, and other stakeholders to align on financial insights and operational needs

Controls & Compliance

• Strengthen and maintain internal controls over financial reporting

• Support audit processes (internal and external), including preparation of schedules and documentation

• Ensure compliance with SOX and company policies

Skills We’re Looking For:

• Bachelor’s degree in Accounting or Finance; CPA strongly preferred

• 5–7+ years of accounting experience, with a mix of public accounting and industry preferred

• Prior experience in a SaaS or high-growth technology company

• Proven experience managing and developing teams

• Strong understanding of month-end close, general ledger, and financial reporting processes

• Hands-on experience with NetSuite and close automation tools (e.g., FloQast)

• Experience working with large datasets or data tools (e.g., BigQuery) is a plus

• Demonstrated ability to drive process improvements and automation initiatives

• Strong cross-functional communication skills, especially with technical teams

Bonus Skills​:

• Exposure to AI tools (e.g., ChatGPT, Claude) for workflow or productivity enhancements

#LI-HYBRID #LI-JG1

Technologist, eDiscovery

About Carvana
If you like disrupting the norm and are looking to join a company revolutionizing an industry then you will LOVE what Carvana has done for the car buying experience. Buying a car the old fashioned way sucks and we are working hard to make it NOT suck. I mean, have you seen our vending machine?!

We are looking for people who are excited to thrive in an environment of impactful change. Team spirit is evident at Carvana and every day we let our passions and creativity foster innovation. We take big swings, set ambitious goals, and challenge each other to make data- and process-driven decisions in everything we do. Here are a few of our stories! We’ve been changing the game since 2013, and we’re not taking our foot off the gas now. Want more of the story? Check out our background here.

About the team and position
Working on the eDiscovery Team at Carvana you will notice that….

We need to be super approachable and always willing to go above and beyond to help Carvana’s Litigation Team and the entire Carvana family. It could be as simple as connecting a monitor to as complicated as tuning a flux capacitor to precisely 1.21 gigawatts! We expect smart people who are doers with bright ideas, willing to put their game-face on, take on new challenges, and juggle many assignments at once.

The eDiscovery Technologist performs key functions for Carvana’s Litigation Team and the broader Carvana Legal Department. Responsibilities include, but are not limited to: facilitation and support of litigation hold and eDiscovery requests, querying systems of record, and creating reports from information contained in multiple different databases. The ideal candidate has an in-depth knowledge of a variety of technologies and systems, has worked with databases and automation tools, and has experience writing scripts or programs. The best candidate will have a strong analytical aptitude with the ability to investigate, interpret, and clearly communicate findings, solutions, and recommendations to improve operational processes.

What you’ll be doing

• Serve as an eDiscovery point-of-contact with internal/external technical teams and Carvana’s in-house and outside counsel.
• Design, develop, maintain, and/or improve internal reporting regarding Carvana’s litigation portfolio and the performance of its multiple Legal Teams.
• Work with cross-functional teams to understand business workflows, data systems, and processes related to data discovery. 
• Support the successful response to third-party subpoenas and consumer litigation by  executing eDiscovery, document collection, and legal hold workflows.
• Collaborate in the development, documentation, and enhancement of processes to ensure adherence with legal requirements.
• Maintain database information, scripting and other custom tooling for tracking, accessing, and exporting a variety of company information systems. 
• Participate in projects related to the adherence of legal and data handling programs.
• Drive data quality through continuous process improvement.
• Participate in the evaluation of legal technologies for our department.
• Perform administrative functions within our legal tool set.

What you should have

• Education or related experience typically obtained through completion of a tech focused bachelor’s degree or working in a highly computer centric technical environment.
• Experience extracting, transforming, and loading data from various systems.
• Must be well organized, self-directed, detail oriented, proactive, willing to learn, and a team player.
• Ability to thoroughly document technical processes and procedures.
• Basic experience with scripting/programming.
• Ability to apply critical thinking, logic, and reasoning to solve a variety of technical problems
• Excellent written/verbal communication skills, with ability to present to peers and co-workers.
• Understanding of data encryption and security practices associated with secure data transfer.

It would be great if you also had

• Prior experience with Legal tools (Relativity or similar, Doc Management)
• Experience with MS SQL, BigQuery, Snowflake or other databases
• Dashboard development experience
• Scripting experience

What we’ll offer in return

• Full-Time Salary Position with a competitive salary.
• Medical, Dental, and Vision benefits.
• 401K with company match.
• A multitude of perks including student loan payments, discounts on vehicles, benefits for your pets, and much more.
• A great wellness program to keep you healthy and happy both physically and mentally.
• Access to training and conference opportunities as well as great on-the-job training.
• A company culture of promotions from within, with a start-up atmosphere allowing for varied and rapid career development.
• A seat in one of the fastest-growing companies in the country.

Other requirements
To be able to do your job at Carvana, there are some basic requirements we want to share with you.

• Must be able to read, write, speak, and understand English.
• Requires excellent visual acuity and manual dexterity.

Of course, we’ll make any reasonable accommodations for those with disabilities to perform the essential functions of their jobs. 

Legal stuff
Hiring is contingent on passing a complete background check.  This role is not eligible for visa sponsorship.

Carvana is an equal employment opportunity employer.  All applicants receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, marital status, national origin, age, mental or physical disability, protected veteran status, or genetic information, or any other basis protected by applicable law.  Carvana also prohibits harassment of applicants or employees based on any of these protected categories.

Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. 

This is Engineering at Lattice

Lattice’s Engineering team is continuously working to better both our product and our craft. We use a modern, cutting-edge tech stack and love experimenting with new technologies. We strive for maintainable, robust, and performant code. We’re highly collaborative and continuously iterative and work closely with designers and product managers. We prioritize not only great technical architecture but also an amazing product experience.

As a Data Platform Engineer, you will play a pivotal role in designing and maturing Lattice’s centralized data platform — starting with a modern data lakehouse built on AWS. This is an opportunity to be a founding member of a new team, build the backbone of our data ecosystem, and directly influence the intelligence and interconnectedness of our products.

You will architect and implement foundational data infrastructure that enables scalable storage, reliable data processing, and secure access across the organization. In addition to building the lakehouse itself, you will design and maintain a set of reusable connection and query utilities that empower internal stakeholders to interact with the platform efficiently and safely.

What You Will Do

• Standardize Lattice’s data infrastructure and practices through establishing a simple, cohesive, and reliable platform that seamlessly integrates internal and partner data
• Design, develop, and deploy scalable data pipelines that can ingest, process, and serve data across multiple teams for batch and streaming workloads.
• Make data effortlessly accessible – abstract infrastructure complexity through reusable SDKs, libraries, and tooling
• Shape data governance practices ensuring access to data is secure, compliant, and high-quality. 
• Partner with Engineering, Product, and business leaders to identify data needs and implement solutions that align with strategic objectives.

What You Will Bring to the Table

• 2+ years of experience in software, data, or analytics engineering with exposure to a centralized “data platform” or large-scale data infrastructure project.
• Fluency in SQL and a general purpose programming language; Python or TypeScript preferred
• Familiarity with a data warehouse/lakehouse platform e.g. Snowflake, Redshift, BigQuery, Databricks
• Familiarity with AWS services or their equivalents e.g. IAM, Glue, Lambda, Athena, Redshift, Kinesis, EKS
• Nice to have: Hands-on experience with data processing frameworks like dbt, Spark, Kafka Streams, or Flink
• Willingness to learn and curiosity into how trustworthy, insightful data can unlock value for our users

Location Requirement:
This role is open to candidates located in British Columbia or Ontario, Canada. At this time, we are only able to hire employees residing in these provinces.

The estimated annual cash salary for this role is CAD $90,000 - CAD $120,000. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Life, AD&D, and Disability Insurance; Natural Disaster Support Program; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Working Remotely Stipend; One time WFH Office Set-Up Stipend; Retirement Plan; Financial Planning; and Learning & Development Budget.

Note on Pay Transparency:
Lattice provides an estimate of the compensation for roles that may be hired as required by regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law.

Lattice welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process.

#LI-Remote

WHAT IS BOX? 

Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.

WHY BOX NEEDS YOU

We are seeking a Manager, Corporate Finance  to join our Corporate Finance team. This role will be the primary owner of Box's corporate financial model, and playing a key role in annual planning, quarterly board reporting, and the monthly financial performance review process. You will be responsible for KPIs, variance analysis, FX impact modeling, global expense budgeting, cash flow forecasting, and partnering with the tax team on subsidiary-level forecasting. We’re looking for someone who is self-driven and passionate about bringing in new ideas and improving or replacing legacy processes and models. In this role, you’ll build and maintain sophisticated financial models such as driver-based three-statement models with tightly linked operational drivers, deliver accurate forecasts, and provide strategic insights to senior leadership. You will also leverage Box AI to modernize processes, financial analysis and reporting.

This is a high-visibility role that requires strong leadership presence, exceptional analytical skills, and the ability to communicate complex financial concepts to executive stakeholders. This role is expected to be an individual contributor role based in our Redwood City office.

WHAT YOU'LL DO 

• Own the end-to-end corporate financial model and play a key role in annual planning, quarterly board reporting, and the monthly financial performance review processes
• Build and maintain a robust, driver-based three-statement model that tightly links operational drivers to balance sheet and cash flow outputs
• Drive month-end and quarter-end close cycles
• Leverage Box AI and emerging AI tools to transform how finance operates and push the boundaries of what AI can do for a modern finance function in planning, forecasting, and reporting
• Own corporate cash flow model and provide insights into liquidity, working capital, and capital allocation
• Partner with the tax team on subsidiary-level forecasting and ensure accurate modeling of multi-entity financials
• Analyze and model FX impacts on bottom-line financial metrics, providing insights on currency exposure and hedging strategies
• Lead KPI reporting and variance analysis, identifying risks and opportunities against plan
• Prepare materials for financial performance reviews, earnings, QBRs, board and executive presentations
• Partner with Investor Relations to support earnings materials preparation and investor communications
• Develop early warning systems to identify risks and opportunities in achieving financial targets
• Continuously improve planning processes, tools, and methodologies-identifying opportunities to automate and scale reporting solutions

WHO YOU ARE 

We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.

• 6+ years of progressive experience in corporate finance, FP&A, investment banking, or related fields; prior experience at a technology or SaaS company strongly preferred
• Strong three-statement modeling skills, with a track record of building robust, driver-based models that tightly link operational drivers to balance sheet and cash flow outputs
• Track record of owning complex forecasting processes and delivering accurate results
• Advanced proficiency in Excel with strong financial modeling capabilities; experience with BI/Analytics tools (Tableau, BigQuery) and familiarity with SQL a plus
• Experience with ERP and planning systems (e.g., NetSuite, Anaplan, Planful)
• Experience analyzing FX impacts on financial metrics and working with multi-currency environments
• Strong leadership presence with excellent communication skills and the ability to distill complex analysis into clear, actionable insights
• Self-starter with a collaborative mindset, high attention to detail, and comfort operating in a fast-paced environment
• Bachelor’s degree in Finance, Accounting, Economics, Business, or a STEM field required

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.

At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!

EQUAL OPPORTUNITY

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.

Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.

Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here. 

Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here. 

For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here.

LightFeather is seeking a Senior GCP Cloud Engineer who will play a critical role in designing, implementing, and maintaining cloud infrastructure solutions within Google Cloud Platform (GCP). This role requires expertise in infrastructure automation, cloud security, networking, and CI/CD pipeline development. The ideal candidate will work closely with cross-functional teams to drive cloud optimization and automation efforts in a high-security government environment.

This role offers an exciting opportunity to shape cloud automation and infrastructure strategies in a high-impact government environment.

• Location: In-Person (5 days/week) in Washington, DC
• Job Type: Full Time
• Clearance Requirement: U.S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Top Secret-level security clearance

• Design, implement, and manage secure and scalable cloud infrastructure using GCP.
• Develop and maintain infrastructure-as-code (IaC) using Terraform, Deployment Manager, or similar tools.
• Support CI/CD pipeline automation, integration, and management.
• Collaborate with software engineers, security personnel, and government stakeholders to support development and deployment workflows.
• Monitor system performance, troubleshoot issues, and ensure cloud services meet SLAs.
• Implement cloud best practices and ensure compliance with federal security standards (e.g., FedRAMP, NIST).
• Provide documentation and knowledge sharing with the broader engineering team.

Required Qualifications

• Willing to obtain a security clearance.
• 4+ years of experience in cloud engineering, with at least 2 years on GCP.
• Hands-on experience with GCP services such as Compute Engine, Cloud Functions, VPC, IAM, GKE, and BigQuery.
• Experience with infrastructure-as-code tools like Terraform, Ansible, or Deployment Manager.
• Familiarity with CI/CD tools such as GitLab CI, Jenkins, or Cloud Build.
• Solid understanding of Linux systems, networking, and containerization (Docker, Kubernetes).
• Experience working in an Agile/Scrum environment.

Preferred Skills

• GCP Professional Cloud Architect or DevOps Engineer certification.
• Experience supporting federal government contracts and understanding of ATO processes.
• Familiarity with other cloud platforms (AWS, Azure) is a plus.
• Scripting skills in Python, Bash, or Go.

Why Join LightFeather?

At LightFeather, you're not just taking a job—you’re joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You’ll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry.

LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.

LightFeather is seeking a Lead GCP Cloud Engineer who will play a critical role in designing, implementing, and maintaining cloud infrastructure solutions within Google Cloud Platform (GCP). This role requires expertise in infrastructure automation, cloud security, networking, and CI/CD pipeline development. The ideal candidate will work closely with cross-functional teams to drive cloud optimization and automation efforts in a high-security government environment.

This role offers an exciting opportunity to shape cloud automation and infrastructure strategies in a high-impact government environment.

• Location: In-Person (5 days/week) in Washington, DC
• Job Type: Full Time
• Clearance Requirement: U.S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Top Secret-level security clearance

• Design, implement, and manage secure and scalable cloud infrastructure using GCP.
• Develop and maintain infrastructure-as-code (IaC) using Terraform, Deployment Manager, or similar tools.
• Support CI/CD pipeline automation, integration, and management.
• Collaborate with software engineers, security personnel, and government stakeholders to support development and deployment workflows.
• Monitor system performance, troubleshoot issues, and ensure cloud services meet SLAs.
• Implement cloud best practices and ensure compliance with federal security standards (e.g., FedRAMP, NIST).
• Provide documentation and knowledge sharing with the broader engineering team.

Required Qualifications

• Willing to obtain a security clearance.
• 4+ years of experience in cloud engineering, with at least 2 years on GCP.
• Hands-on experience with GCP services such as Compute Engine, Cloud Functions, VPC, IAM, GKE, and BigQuery.
• Experience with infrastructure-as-code tools like Terraform, Ansible, or Deployment Manager.
• Familiarity with CI/CD tools such as GitLab CI, Jenkins, or Cloud Build.
• Solid understanding of Linux systems, networking, and containerization (Docker, Kubernetes).
• Experience working in an Agile/Scrum environment.

Preferred Skills

• GCP Professional Cloud Architect or DevOps Engineer certification.
• Experience supporting federal government contracts and understanding of ATO processes.
• Familiarity with other cloud platforms (AWS, Azure) is a plus.
• Scripting skills in Python, Bash, or Go.

Why Join LightFeather?

At LightFeather, you're not just taking a job—you’re joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You’ll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry.

LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.

LightFeather is seeking a Cloud Engineer – GCP who will play a critical role in designing, implementing, and maintaining cloud infrastructure solutions within Google Cloud Platform (GCP). This role requires expertise in infrastructure automation, cloud security, networking, and CI/CD pipeline development. The ideal candidate will work closely with cross-functional teams to drive cloud optimization and automation efforts in a high-security government environment.

This role offers an exciting opportunity to shape cloud automation and infrastructure strategies in a high-impact government environment.

• Location: In-Person (5 days/week) in Washington, DC
• Job Type: Full Time
• Clearance Requirement: U.S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Top Secret-level security clearance

• Design, implement, and manage secure and scalable cloud infrastructure using GCP.
• Develop and maintain infrastructure-as-code (IaC) using Terraform, Deployment Manager, or similar tools.
• Support CI/CD pipeline automation, integration, and management.
• Collaborate with software engineers, security personnel, and government stakeholders to support development and deployment workflows.
• Monitor system performance, troubleshoot issues, and ensure cloud services meet SLAs.
• Implement cloud best practices and ensure compliance with federal security standards (e.g., FedRAMP, NIST).
• Provide documentation and knowledge sharing with the broader engineering team.

Required Qualifications

• Willing to obtain a security clearance.
• 4+ years of experience in cloud engineering, with at least 2 years on GCP.
• Hands-on experience with GCP services such as Compute Engine, Cloud Functions, VPC, IAM, GKE, and BigQuery.
• Experience with infrastructure-as-code tools like Terraform, Ansible, or Deployment Manager.
• Familiarity with CI/CD tools such as GitLab CI, Jenkins, or Cloud Build.
• Solid understanding of Linux systems, networking, and containerization (Docker, Kubernetes).
• Experience working in an Agile/Scrum environment.

Preferred Skills

• GCP Professional Cloud Architect or DevOps Engineer certification.
• Experience supporting federal government contracts and understanding of ATO processes.
• Familiarity with other cloud platforms (AWS, Azure) is a plus.
• Scripting skills in Python, Bash, or Go.

Why Join LightFeather?

At LightFeather, you're not just taking a job—you’re joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You’ll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry.

LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.

LightFeather is seeking a GCP Cloud Engineer who will play a critical role in designing, implementing, and maintaining cloud infrastructure solutions within Google Cloud Platform (GCP). This role requires expertise in infrastructure automation, cloud security, networking, and CI/CD pipeline development. The ideal candidate will work closely with cross-functional teams to drive cloud optimization and automation efforts in a high-security government environment.

This role offers an exciting opportunity to shape cloud automation and infrastructure strategies in a high-impact government environment.

• Location: In-Person (5 days/week) in Washington, DC
• Job Type: Full Time
• Clearance Requirement: U.S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Top Secret-level security clearance

• Design, implement, and manage secure and scalable cloud infrastructure using GCP.
• Develop and maintain infrastructure-as-code (IaC) using Terraform, Deployment Manager, or similar tools.
• Support CI/CD pipeline automation, integration, and management.
• Collaborate with software engineers, security personnel, and government stakeholders to support development and deployment workflows.
• Monitor system performance, troubleshoot issues, and ensure cloud services meet SLAs.
• Implement cloud best practices and ensure compliance with federal security standards (e.g., FedRAMP, NIST).
• Provide documentation and knowledge sharing with the broader engineering team.

Required Qualifications

• Willing to obtain a security clearance.
• 4+ years of experience in cloud engineering, with at least 2 years on GCP.
• Hands-on experience with GCP services such as Compute Engine, Cloud Functions, VPC, IAM, GKE, and BigQuery.
• Experience with infrastructure-as-code tools like Terraform, Ansible, or Deployment Manager.
• Familiarity with CI/CD tools such as GitLab CI, Jenkins, or Cloud Build.
• Solid understanding of Linux systems, networking, and containerization (Docker, Kubernetes).
• Experience working in an Agile/Scrum environment.

Preferred Skills

• GCP Professional Cloud Architect or DevOps Engineer certification.
• Experience supporting federal government contracts and understanding of ATO processes.
• Familiarity with other cloud platforms (AWS, Azure) is a plus.
• Scripting skills in Python, Bash, or Go.

Why Join LightFeather?

At LightFeather, you're not just taking a job—you’re joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You’ll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry.

LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.

Washington D.C. Pay Range:

$160,000 - $180,000 USD

LightFeather is seeking a GCP Cloud/DevOps Engineer who will play a critical role in designing, implementing, and maintaining cloud infrastructure solutions within Google Cloud Platform (GCP). This role requires expertise in infrastructure automation, cloud security, networking, and CI/CD pipeline development. The ideal candidate will work closely with cross-functional teams to drive cloud optimization and automation efforts in a high-security government environment.

This role offers an exciting opportunity to shape cloud automation and infrastructure strategies in a high-impact government environment.

• Location: In-Person (5 days/week) in Washington, DC
• Job Type: Full Time
• Clearance Requirement: U.S. citizenship is required for this position due to federal contract requirements and the need to obtain and maintain a Top Secret-level security clearance

• Design, implement, and manage secure and scalable cloud infrastructure using GCP.
• Develop and maintain infrastructure-as-code (IaC) using Terraform, Deployment Manager, or similar tools.
• Support CI/CD pipeline automation, integration, and management.
• Collaborate with software engineers, security personnel, and government stakeholders to support development and deployment workflows.
• Monitor system performance, troubleshoot issues, and ensure cloud services meet SLAs.
• Implement cloud best practices and ensure compliance with federal security standards (e.g., FedRAMP, NIST).
• Provide documentation and knowledge sharing with the broader engineering team.

Required Qualifications

• Willing to obtain a security clearance.
• 4+ years of experience in cloud engineering, with at least 2 years on GCP.
• Hands-on experience with GCP services such as Compute Engine, Cloud Functions, VPC, IAM, GKE, and BigQuery.
• Experience with infrastructure-as-code tools like Terraform, Ansible, or Deployment Manager.
• Familiarity with CI/CD tools such as GitLab CI, Jenkins, or Cloud Build.
• Solid understanding of Linux systems, networking, and containerization (Docker, Kubernetes).
• Experience working in an Agile/Scrum environment.

Preferred Skills

• GCP Professional Cloud Architect or DevOps Engineer certification.
• Experience supporting federal government contracts and understanding of ATO processes.
• Familiarity with other cloud platforms (AWS, Azure) is a plus.
• Scripting skills in Python, Bash, or Go.

Why Join LightFeather?

At LightFeather, you're not just taking a job—you’re joining a purpose-driven team that delivers innovative, mission-critical solutions to make a real difference. You’ll work on diverse, meaningful projects that challenge and inspire you, alongside some of the best minds in the industry.

LightFeather is an Equal Opportunity Employer. We consider all qualified applicants for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable federal, state, or local law.

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

Stripe's Finance & Strategy team is hiring a Finance Analytics Analyst. This role requires a finance professional with strong FP&A capabilities, technical data skills (SQL, BI tools), and demonstrated AI adaptability. The individual will own financial planning, variance analysis, and P&L reporting for assigned business areas while using data and technology to deliver high-quality financial insights. This role reports into the Finance & Strategy Center of Excellence.

Responsibilities

Financial Planning & Analysis

• Own P&L reporting and analysis for assigned product lines, business units, or functional cost centers
• Lead monthly and quarterly planning, forecasting, and close processes
• Perform variance analysis (actuals vs. budget, actuals vs. forecast, period-over-period) with clear identification of root causes and business drivers
• Track and reconcile accruals vs. actuals; ensure accuracy and completeness in financial reporting
• Support annual budgeting, long-range planning, and scenario modeling
• Build and maintain financial models for business case analysis, investment decisions, and resource allocation
• Partner with business teams to provide financial perspective on operational and strategic decisions

Data Analytics & Reporting

• Write SQL queries to extract, validate, and analyze data from financial systems and data warehouses
• Build and maintain financial dashboards and reports using Power BI, Tableau, or equivalent BI tools
• Develop data models that integrate financial and operational data for planning, forecasting, and performance reporting
• Automate and standardize recurring reports to reduce manual effort and improve consistency
• Navigate complex, high-volume data environments (trillions of transactions across products and geographies) to extract relevant financial signals
• Ensure data accuracy and consistency across all financial outputs

AI-Augmented Working

• Use AI tools (Claude, Cursor, Claude Code, and similar platforms) as part of workflow for analysis, coding, report building, dashboard prototyping, and problem-solving
• Apply an AI-first approach to new tasks, evaluate where AI can accelerate delivery before defaulting to manual methods
• Contribute to team-wide AI adoption by sharing effective workflows, prompts, and use cases

Business Insights & Communication

• Prepare executive-level reports on financial performance, trends, and key metrics with clear conclusions and recommendations
• Conduct ad-hoc analysis to support strategic initiatives and leadership decision-making
• Translate data and financial analysis into actionable business recommendations for finance and non-finance stakeholders
• Track and interpret key financial and operational metrics including revenue, processing volume, take rate, costs, margins, and unit economics

Requirements

Financial & Business Skills

• 5–7+ years of experience in FP&A, financial analysis, strategic finance, or corporate finance roles
• Strong understanding of financial statements (P&L, balance sheet, cash flow) and the ability to connect them into a complete financial picture
• Demonstrated experience in budgeting, forecasting, variance analysis, and financial planning cycles
• Working knowledge of accrual accounting, revenue recognition, cost allocation, and reconciliation processes
• Fluency in financial metrics: revenue, gross margin, EBITDA, operating leverage, unit economics

Technical & Data Skills

• Must Have: Strong SQL skills for data extraction, transformation, and analysis from relational databases and data warehouses
• Must Have: Proficiency in Power BI, Tableau, or equivalent BI tools for dashboard development and reporting
• Must Have: Advanced Excel / Google Sheets — financial modeling, scenario analysis, pivot tables, complex formulas
• Preferred: Python or R for data analysis, automation, or analytical workflows
• Ability to work with large, complex datasets across multiple data sources

AI Adaptability

• Must Have: Active, demonstrable use of AI tools in current work — candidates should be able to provide specific examples of how AI has improved their workflow, output quality, or speed
• Willingness and ability to continuously adopt new AI tools and methods as they become available
• Comfort using AI for coding assistance, data exploration, dashboard prototyping, and analytical problem-solving

Mindset & Working Approach

• Ownership: Treats assigned areas as personal accountability — does not wait for direction to investigate issues, identify risks, or surface insights
• Depth and curiosity: Goes beyond surface-level analysis to understand business context, root causes, and second-order implications
• Quality and accuracy: Holds a high personal standard for the correctness, completeness, and trustworthiness of all outputs
• Business context orientation: Understands the business model and connects financial data to what is actually happening operationally and strategically
• Clear communication: Presents financial and analytical findings to diverse audiences (finance, product, engineering, leadership) with clarity and precision
• Speed with rigor: Operates effectively in a fast-paced environment without compromising accuracy

Preferred Experience

• Background in technology, payments, fintech, SaaS, or high-growth platform businesses
• Experience with ERP systems (NetSuite, SAP, Oracle) or planning tools (Anaplan, Adaptive Insights, Pigment)
• Exposure to data warehousing concepts and cloud data platforms (Snowflake, BigQuery, Redshift)
• Experience in cross-functional environments working directly with product, engineering, and go-to-market teams
• Experience with high transaction volume environments where data complexity is inherent

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 Overview

We are seeking an analytically-driven Data Analyst to join our Finance & Strategy team at Stripe. This role bridges the gap between data science and financial planning, requiring someone who can transform complex business data into actionable financial insights. You will build sophisticated dashboards, develop predictive models, and serve as the technical backbone for our FP&A and GTM analytics initiatives. This is a unique opportunity for a data professional with financial acumen to directly influence strategic business decisions in a high-growth fintech environment.

What You'll Do

Financial Data Analytics & Modeling

• Design, build, and maintain financial dashboards for FP&A, Revenue Operations, and GTM teams using Tableau, Power BI, or Looker
• Develop automated financial reporting solutions that reduce manual effort and improve data accuracy
• Create sophisticated data models to support budgeting, forecasting, variance analysis, and scenario planning
• Build predictive models for revenue forecasting, customer lifetime value, churn analysis, and unit economics

Business Intelligence & Reporting

• Partner with Finance Business Partners and FP&A teams to translate business requirements into technical solutions
• Design and implement data infrastructure for financial planning cycles (monthly/quarterly reviews, annual budgets, long-range planning)
• Develop self-service analytics capabilities enabling finance teams to access real-time business insights
• Create executive dashboards tracking key financial and operational metrics (ARR, bookings, retention, CAC, LTV)

Data Engineering & Analytics Infrastructure

• Write complex SQL queries to extract, transform, and analyze large datasets from multiple source systems
• Build ETL pipelines to integrate financial data from ERP, CRM, billing, and data warehouse systems
• Ensure data quality, consistency, and governance across financial reporting systems
• Optimize database performance and data architecture for scalability

Strategic Analysis & Insights

• Conduct deep-dive analyses on business performance, identifying trends, anomalies, and opportunities
• Support strategic initiatives through ad-hoc financial modeling and what-if scenario analysis
• Translate complex data findings into clear, actionable recommendations for leadership
• Collaborate with Data Science teams to develop advanced analytics and ML models for finance use cases

Required Qualifications

Technical Skills

• Must Have: Advanced SQL proficiency (complex joins, window functions, CTEs, query optimization)
• Must Have: Expert-level experience with at least one BI tool (Tableau, Power BI, Looker, or Qlik)
• Must Have: Advanced Excel/Google Sheets skills (pivot tables, complex formulas, data modeling)
• Preferred: Python or R for data analysis, automation, and statistical modeling
• Preferred: Experience with cloud data platforms (Snowflake, BigQuery, Redshift, Databricks)
• Preferred: Knowledge of ETL tools (dbt, Airflow, Fivetran) and version control (Git)

Financial & Business Acumen

• Experience in data analytics within finance, FP&A, or revenue operations functions
• Strong understanding of financial statements (P&L, balance sheet, cash flow)
• Knowledge of key financial metrics: ARR, MRR, bookings, revenue recognition, CAC, LTV, gross margin, EBITDA
• Experience with financial planning processes: budgeting, forecasting, variance analysis, scenario modeling
• Understanding of SaaS/subscription business models and revenue recognition principles (ASC 606 preferred)

Analytical & Problem-Solving

• Proven ability to work with large, complex datasets and derive meaningful insights
• Experience building financial models and dashboards that drive executive decision-making
• Strong statistical analysis skills and understanding of data visualization best practices
• Track record of translating ambiguous business problems into structured analytical frameworks

Preferred Experience

• Background in fintech, payments, B2B SaaS, or high-growth technology companies
• Experience supporting GTM analytics (sales forecasting, pipeline analysis, quota setting)
• Familiarity with finance systems: NetSuite, Anaplan, Adaptive Planning, Salesforce, Stripe Billing
• Exposure to data science methodologies and machine learning concepts
• Previous work in cross-functional environments collaborating with finance, data science, and business teams

Key Competencies

• Business Acumen: Ability to understand complex business models and translate them into data requirements
• Technical Excellence: Deep technical skills with commitment to code quality and best practices
• Communication: Exceptional ability to explain technical concepts to non-technical stakeholders
• Stakeholder Management: Experience partnering with senior leaders and influencing through data
• Ownership Mindset: Self-directed with ability to manage multiple priorities and drive projects to completion
• Continuous Learning: Curiosity to learn new tools, techniques, and business domains
• Attention to Detail: Commitment to data accuracy and quality in high-stakes financial reporting

Education

• Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, Engineering, or related quantitative field
• Advanced degree (MBA, MS in Analytics/Data Science) or relevant certifications (CFA, CPA, data analytics certifications) a plus

What Makes This Role Unique This position sits at the intersection of data engineering, business intelligence, and strategic finance. You'll have the autonomy to architect solutions that shape how Stripe makes multi-million dollar decisions, while working with cutting-edge data technologies and some of the brightest minds in fintech. If you're energized by the prospect of building the analytics infrastructure that powers a global payments platform, this role is for you.

Job Summary 

Codal is searching for a hands-on Engineering Lead to perform various architectural tasks and provide technical leadership. To ensure success, you should have extensive experience with designing architectures and web applications, ensuring the team delivers robust, scalable and secure solutions. This role involves hands-on coding along with a team of 4-5 engineers, maintaining high quality and standards across the full stack to deliver high-performance technologies.

• Architectural Vision: Design and lead the implementation of system architectures, including both scalable microservices and well-structured monolithic solutions, tailored to project requirements.
• Backend & API Mastery: Establish and enforce best practices for backend development, focusing on robust API design (REST/GraphQL), security protocols (OAuth/JWT), and comprehensive technical documentation.
• Data Strategy: Define and manage the overall data persistence strategy, covering relational databases (PostgreSQL), NoSQL solutions (MongoDB), and high-performance caching layers (Redis).
• Infrastructure & DevOps Collaboration: Partner with the DevOps team on critical infrastructure management, including CI/CD pipeline optimization, containerization (Docker/Kubernetes), and effective utilization of AWS/Azure cloud services.
• Performance Optimization: Proactively identify and resolve performance bottlenecks within the backend stack, driving optimizations to enhance system latency and throughput.
• Mentorship & Quality Assurance: Elevate team capabilities through deep-dive code reviews, providing constructive feedback focused on security, maintainability, and architectural soundness.

Ideal candidate skills

• Experience: Ideally 6+ years of relevant experience in hands-on full-stack development and technical leadership.
• Architecture: Provide technical design architecture for implementing complex web applications and scalable backend systems.
• Mentorship: Conduct code reviews and provide technical guidance to team members to ensure best practices.
• Standards: Establish and maintain high standards of code quality, performance, and security across all project deliverables.
• Tech Stack: 3+ years of deep expertise in technologies including Node.js, React, JavaScript/TypeScript, Python, and modern frontend & CMS frameworks.
• Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
• DevOps & Cloud: Experience with Docker, Kubernetes, AWS/Azure/GCP, and CI/CD pipelines.
• Data Systems: Expertise in software architecture, database systems (BigQuery/SQL/NoSQL), and cloud-native applications.
• Soft Skills: Strong communication, leadership, and Agile methodology skills.
• Execution: Demonstrated ability in delivery, scalability, and solving complex technical challenges.

Requirements

• Ideally 3+ years of engineering lead experience
• Must have good logical & programming skills for at least one language like NodeJS/Python
• Good track record in terms of finding slow code & vulnerabilities during code review
• Has delivered enterprise level projects
• Must have active hands-on experience alongside a leading team of engineers
• Comfortable with leading a team of five

Need another reason to hit the “apply” button? 

• Codal is a global agency with over 200 employees, and offices in the US, Canada, the UK, and India 
• We regularly host happy hours, dinners, excursions, and other company events to unwind after a hard day at work
• Office snacks and drinks + a fancy Bevi water machine with flavored water 
• We offer Medical, Life, Dental/Vision, and many more insurance types 
• Employer 401k match - 4% 
• A recreational group that regularly competes in city leagues for softball and volleyball 
• An office in the heart of downtown Chicago with a gym, food court, Walgreens, rooftop bar, outdoor sports court, and other amenities
• Working hybrid for in-person collaboration and sprint-planning days

About Grupo QuintoAndar

We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America. Guided by a shared purpose of helping people love where they live, we have a diversified portfolio of brands and solutions across different countries in Latin America, covering all phases of the housing journey. We also have a Technology Hub in Portugal. We develop technology and innovation to transform and enhance the overall living experience.

With the support of a world-class team of investors and advisors, including Kaszek, Qualcomm, General Atlantic, and SoftBank, Grupo QuintoAndar is currently valued at over USD 5.1 billion and continues to grow year over year.

Here, you will work with top professionals in the market, in an environment that breathes innovation, collaboration, and high performance. To learn more about our story, visit: https://grupoquintoandar.com/pt/.

Location & Remote Work

Our team operates under a "remote-first" model, which means we work from home and can live anywhere in Brazil. We also offer the option of working from our São Paulo offices or partner coworking spaces, up to twice a week.

Hiring Process Stages

The stages of our hiring processes aim to assess your experiences and allow you to meet our teams and explore career opportunities. They are structured as follows:

• Application Review
• People Interview
• Hiring Manager Interview
• Case
• Stakeholder Interview
• Offer

About the Team

We are looking for a Sales Operations Sr. Coordinator to lead a multidisciplinary team and drive quantitative, strategic commercial analyses to build scalable, automated sales operations processes. This role plays a critical part in improving commercial productivity, decision-making, and execution by transforming data into insights and operational routines that support sales teams at scale. As a leader, you will be responsible for mentoring and developing a team of specialists and interns, ensuring high-quality delivery while fostering a collaborative environment.

Key Responsibilities

Leadership & People Management

• Directly manage and develop a diverse team (ranging from interns to senior specialists), providing clear guidance, regular feedback, and career development support.
• Balance team workload and priorities, ensuring the team remains focused on high-impact projects while maintaining operational excellence.
• Act as a technical mentor, fostering a data-driven culture and raising the bar for analytical rigor and process automation within the team.

Strategic & Analytical Support

• Suggest and conduct quantitative, strategic commercial analyses to support initiatives aimed at increasing sales productivity and performance.
• Analyze the full sales funnel and pipeline to identify bottlenecks, opportunities, and performance drivers.
• Develop clear, actionable insights and recommendations for sales leadership and stakeholders.
• Design, implement, and continuously improve sales operations processes, ensuring they are scalable, efficient, and data-driven.

Process Automation & Excellence

• Oversee and support the automation of key commercial routines, including:
  • Target setting and quota allocation.
  • Commissions calculation and validation.
  • Performance tracking and reporting.
  • Ensure consistency, accuracy, and transparency in sales data and operational metrics across the organization.

Stakeholder Management & Collaboration

• Act as a strategic partner to commercial leadership, translating business needs into analytical solutions and operational improvements.
• Collaborate closely with cross-functional stakeholders (Strategy, Pricing, BI, Marketing) to align data, processes, and objectives.
• Lead change management efforts by clearly communicating complex analyses and new processes to teams with varying levels of technical expertise.

Success Metrics

• Team development and engagement: Growth and performance of direct reports.
• Impact of analyses on commercial decision-making and business outcomes.
• Process Scalability: Quality and reliability of automated sales operations routines.
• Stakeholder satisfaction and the ability to influence cross-functional teams.

Requirements

• Proven experience in Sales Operations or related commercial excellence roles.
• Analytical skills with solid knowledge of SQL (BigQuery) and data manipulation (Excel/Google Sheets).
• Strong stakeholder management skills, with the ability to navigate complex environments and influence non-analytical audiences.
• Business Acumen: Ability to connect operational tasks to revenue growth and strategic goals.
• English Proficiency: Ability to create documents and participate in global forums with autonomy.
• Nice to have: Previous experience leading or mentoring teams.

Important

• Our hiring process starts with the application! If you truly want to be part of our team, please complete this step of the process. We analyze all candidates individually and provide feedback to all applicants.

• All communication will be conducted via email, so please stay tuned for our messages and release the domain @quintoandar.com.br to ensure our emails are not sent to spam.

Benefits

• Competitive salary
• Profit sharing
• Variable compensation (For Commercial Positions Only)
• Meal allowance 
• Health insurance
• Dental plan
• Life insurance
• Childcare subsidy and Atypical Parenthood subsidy
• Wellhub
• Home office allowance
• Employee assistance program (mental health, social, legal, and financial support)
• Extended parental leave
• Day off on birthday, Mother’s Day, and Father’s Day
• Benefits Club (discounts on everyday services)
• Discounts at educational institutions
• Reading kit for children – PlayKids
  
  

Diversity & Inclusion at Grupo QuintoAndar

We value diversity and want everyone to feel welcome here, regardless of their age, gender identity, sexual orientation, race, color, ethnicity, origin, disability, religion, or any other characteristic. All our job openings are open to all individuals!

You'll notice there are some diversity questions in the application form. For affirmative action roles, this information may be used to verify your alignment with the target audience for the opportunity. In such cases, it may be used for elimination purposes. For non-affirmative action roles, this data will be used anonymously, exclusively to monitor and improve our inclusion practices in the hiring process, and will have no impact on your application.

Privacy and Data Protection

The Grupo QuintoAndar operates in compliance with privacy and data protection laws, including, but not limited to, the Brazilian General Personal Data Protection Law (LGPD) (Law No. 13,709/2018), and ensures the security of your data. To learn more, please access our Privacy Notice for Candidates. For questions or to exercise your rights as a data subject, please contact us through our Service Channel.

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.

About this team:

The Sales Planning and Strategy Team’s mandate is to partner cross-functionally to realize growing revenue targets, to scale the organization sustainably, and to address new go-to-market opportunities and challenges. We are responsible for developing Samsara’s multi-year strategy and detailed plan to achieve our revenue growth targets in close collaboration with Finance, Product, and Marketing. We also work with Sales Operations and Strategy to execute our plans in-year and drive strategic initiatives to support Samsara’s profitable growth.

About the role:

The Sales Planning and Strategy team is looking for an intellectually curious, motivated, and high-impact team member to join our team. This role will support building the multi-year plan to achieve our ambitious growth targets, drive analysis to deeply understand our Sales team performance, and manage strategic projects in partnership with our Sales leaders. We are a highly collaborative team and seek to have an outsized impact on Samsara through high-quality output, teaming across functions and hierarchies, and commitment to ongoing skill development.

This is a remote position open to candidates residing in the US.

You should apply if: 

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You have an innate curiosity about how businesses work: One day you’ll meet with someone in waste management and the next you may be learning about the inner workings of a food distribution center. Our top sales team members seek to learn the ins and outs of the businesses they support to make a larger impact. 
• You build genuine relationships with your customers: The industries we serve have relied on pen-and-paper solutions for years and haven’t been met with the type of technology we offer. Our customer's value earned trust and human relationships built over time.
• You want to be with the best: Samsara’s high-performance culture means you’ll be surrounded by the best and challenged to go farther than you have before. 
• You are a team player: At Samsara, sales is a team sport. We help each other out by sharing best practices and focusing on winning as a team.

In this role, you will: 

• Drive strategic planning initiatives to support Samsara’s long-term growth in partnership with Sales Leadership, Business Operations, Sales Operations, Finance, Marketing, and other cross-functional teams
• Develop insights and own analytical models that inform long-term and annual planning
• Guide Sales leaders through planning and strategic project outputs, incorporating their feedback, and guiding execution
• Prepare executive-level presentations, analyses, and talking points as part of planning and strategic project work
• Collaborate across Samsara, building trusted relationships across organizations and functions to create “connective tissue” between cross-functional teams
• Identify risks to growth goals and develop action plans to mitigate those risks
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally 

Minimum requirements for the role:

• 5-8 years of experience in Consulting, Finance, Business Operations, Sales Strategy & Operations or other analytical role
• Highly organized with exceptional attention to detail and the ability to manage multiple projects with tight deadlines
• Strong analytical and logical reasoning skills; a deep sense of curiosity 
• Collaborative orientation and experience in building trusting relationships and influencing others (incl. executive audiences)
• Self-starter who thrives and can multitask in fast-paced and often ambiguous environments; enthusiastic about improving efficiencies. Bias for action.
• Strong presentation skills, able to convey complex ideas in a clear, concise manner both verbally and in writing, comfortable in business and technical discussions. 
• Ability to synthesize a broad set of information into a cohesive narrative
• Expertise with analytical tools (e.g., Tableau, Excel, Google Sheets)

An ideal candidate also has:

• Experience working with big data tools (e.g., DataBricks, BigQuery, SQL, etc.)
• Experience with GTM strategy

About this team:

The Sales Planning and Strategy Team’s mandate is to partner cross-functionally to realize growing revenue targets, to scale the organization sustainably, and to address new go-to-market opportunities and challenges. We are responsible for developing Samsara’s multi-year strategy and detailed plan to achieve our revenue growth targets in close collaboration with Finance, Product, and Marketing. We also work with Sales Operations and Strategy to execute our plans in-year and drive strategic initiatives to support Samsara’s profitable growth.

About the role:

The Sales Planning and Strategy team is looking for an intellectually curious, motivated, and high-impact team member to join our team. This role will support building the multi-year plan to achieve our ambitious growth targets, drive analysis to deeply understand our Sales team performance, and manage strategic projects in partnership with our Sales leaders. We are a highly collaborative team and seek to have an outsized impact on Samsara through high-quality output, teaming across functions and hierarchies, and commitment to ongoing skill development.

This is a remote position open to candidates residing in Canada.

You should apply if: 

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.
• You have an innate curiosity about how businesses work: One day you’ll meet with someone in waste management and the next you may be learning about the inner workings of a food distribution center. Our top sales team members seek to learn the ins and outs of the businesses they support to make a larger impact. 
• You build genuine relationships with your customers: The industries we serve have relied on pen-and-paper solutions for years and haven’t been met with the type of technology we offer. Our customer's value earned trust and human relationships built over time.
• You want to be with the best: Samsara’s high-performance culture means you’ll be surrounded by the best and challenged to go farther than you have before. 
• You are a team player: At Samsara, sales is a team sport. We help each other out by sharing best practices and focusing on winning as a team.

In this role, you will: 

• Drive strategic planning initiatives to support Samsara’s long-term growth in partnership with Sales Leadership, Business Operations, Sales Operations, Finance, Marketing, and other cross-functional teams
• Develop insights and own analytical models that inform long-term and annual planning
• Guide Sales leaders through planning and strategic project outputs, incorporating their feedback, and guiding execution
• Prepare executive-level presentations, analyses, and talking points as part of planning and strategic project work
• Collaborate across Samsara, building trusted relationships across organizations and functions to create “connective tissue” between cross-functional teams
• Identify risks to growth goals and develop action plans to mitigate those risks
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally 

Minimum requirements for the role:

• 5-8 years of experience in Consulting, Finance, Business Operations, Sales Strategy & Operations or other analytical role
• Highly organized with exceptional attention to detail and the ability to manage multiple projects with tight deadlines
• Strong analytical and logical reasoning skills; a deep sense of curiosity 
• Collaborative orientation and experience in building trusting relationships and influencing others (incl. executive audiences)
• Self-starter who thrives and can multitask in fast-paced and often ambiguous environments; enthusiastic about improving efficiencies. Bias for action.
• Strong presentation skills, able to convey complex ideas in a clear, concise manner both verbally and in writing, comfortable in business and technical discussions. 
• Ability to synthesize a broad set of information into a cohesive narrative
• Expertise with analytical tools (e.g., Tableau, Excel, Google Sheets)

An ideal candidate also has:

• Experience working with big data tools (e.g., DataBricks, BigQuery, SQL, etc.)
• Experience with GTM strategy

WHAT YOU’LL DO

Viant is seeking a highly skilled and self-motivated Technical Account Manager to serve as a strategic post-sales thought leader for our most important clients. This role sits at the intersection of technology, measurement, and client strategy, partnering closely with Sales Engineering, Account Management, and product teams to deepen relationships, elevate technical maturity, and accelerate adoption of Viant’s advanced measurement and data solutions. You will play a critical role in scaling strategic accounts post-sale, translating complex technical and measurement capabilities into clear business value, and helping clients fully realize the long-term impact of Viant’s platform.

This role is ideal for someone who thrives as a trusted advisor, enjoys shaping solution strategy, and can influence outcomes across both internal and external stakeholders. The ideal candidate will have a combination of exceptional project management and client service skills, as well as knowledge of the advertising technology landscape. You should have a strong understanding of client service best practices and end-to-end solutions delivery.

THE DAY-TO-DAY

• Serve as a strategic technical thought leader in the post-sale lifecycle, partnering with Account Management to grow adoption, expand use cases, and retain and upsell key accounts.
• Act as a trusted advisor to senior client stakeholders by aligning Viant’s measurement and data solutions to broader business objectives.
• Partner closely with Sales Engineering to ensure continuity of solution strategy from pre-sale handoff through execution and optimization.
• Collaborate with Sales, Business Intelligence, and Operations teams to unblock complex challenges and deliver high-impact solutions for strategic accounts.
• Lead client measurement strategy across Viant Advanced Reporting and third-party measurement solutions to improve insight quality, performance understanding, and ROI.
• Scope and deliver custom reporting solutions that enable advanced analysis, executive-level storytelling, and long-term measurement evolution.
• Develop training materials and documentation to level up internal Sales and Account teams and strengthen post-sale execution.
• Use Google BigQuery SQL to investigate data discrepancies, validate data integrity, and surface actionable insights that inform optimization and decision-making.

GREAT TO HAVE

• 4+ years of experience in Technical Account Management, Account Management, Project Management, Ad Operations, or related roles
• 2+ years experience with Ad Tech platforms such as demand-side platforms (DSPs), data management platforms (DMPs), Customer Data Platform (CDP), and/or clean rooms technology
• Strong understanding of the ad tech ecosystem, including DSPs, ad serving, programmatic buying, onboarding, and measurement
• Ability to clearly articulate complex technical and measurement concepts to both technical and non-technical audiences
• Proficiency in SQL (Google BigQuery preferred) and cloud-based analytics tools
• Strategic mindset with a bias toward action; comfortable operating in ambiguity and influencing without authority

LIFE AT VIANT

Investing in our employee’s professional growth is important to us, but so is investing in their well-being. That’s why Viant was voted one of the best places to work and some of our favorite employee benefits include fully paid health insurance, paid parental leave and unlimited PTO and more. 

#LI-SK1

Noom is on a mission to help people live better, longer. We’re a consumer-led digital health company, connecting people to content, coaching, community, and clinicians, to build lasting habits and live healthier lives. We’re a high-growth organization powered by science, technology, and world-class talent. When you join Noom, on any team, you’ll see the impact of your work on the world.

Our B2B Team

Noom’s B2B team partners with employers, health plans, and organizations to deliver scalable, data-driven health solutions that improve outcomes and drive measurable value. By combining behavioral science with robust analytics, this team ensures our partners have the insights and tools needed to support their populations and make confident, informed decisions.

About the Role

As we continue to grow, we’re seeking a Business Analyst, Commercial to deliver high-quality analytics, reporting, and insights that power client success and commercial decision-making. In this highly cross-functional role, you’ll partner with Client Success, Sales, Product, Data/Analytics Engineering, and Operations to ensure our enterprise clients have accurate, actionable data. Your work will span dashboard development, ad-hoc analysis, and data quality improvements—enabling stakeholders to self-serve insights without compromising accuracy or compliance.

You Will

• Own client-facing reporting and analytics delivery for QBRs, renewals, and expansion efforts, including engagement, outcomes, utilization, and program performance insights
• Deliver high-impact ad-hoc analyses for Sales, Client Success, and leadership, translating ambiguous questions into clear metrics, queries, and actionable outputs
• Build, maintain, and enhance Looker dashboards and explores, improving usability through standardized definitions, intuitive design, and clear documentation
• Ensure data accuracy and consistency by proactively validating dashboards, managing changes in upstream data, and performing regression checks
• Investigate and resolve data discrepancies in partnership with Data/Analytics Engineering, identifying root causes and clearly communicating outcomes to stakeholders
• Support operational analytics across billing, eligibility, and partner reporting requirements, while driving scalability through standardization, automation, and documentation

About You

If you’re interested in shaping the future of health by delivering trusted, scalable analytics that empower enterprise partners, this role may be for you!

You Have

• Bachelor’s degree in Business, Economics, Statistics, Mathematics, Computer Science, or a related field (or equivalent practical experience)
• 3+ years of experience in business or data analytics, ideally in healthcare, benefits, or B2B SaaS environments
• Strong proficiency in SQL, including joins, aggregations, window functions, and debugging complex datasets
• Hands-on experience with Looker or similar BI tools, building dashboards and stakeholder-facing reports
• Proven ability to translate complex, ambiguous questions into clear analyses and actionable insights
• Excellent communication skills, with the ability to explain methodologies and findings to both technical and non-technical audiences
• Experience with healthcare data (e.g., eligibility, enrollment, outcomes, or claims concepts) is a plus
• Familiarity with modern data stacks (e.g., dbt, Snowflake, Databricks, BigQuery) and data quality practices
• Experience supporting Client Success or Sales workflows (e.g., QBRs, renewals, expansion analytics) preferred
• Comfort working in a fast-paced, ticketed environment (e.g., Jira) with shifting priorities

What Makes This Job Amazing

• You’ll help millions of people live healthier lives while supporting enterprise partners at scale
• You’ll work on high-impact analytics that directly influence renewals, expansion, and client trust
• You’ll partner with a strong cross-functional group spanning Client Success, Sales, Product, and Data
• You’ll grow quickly in a transparent, high-performance environment with meaningful ownership

What You'll Earn and Enjoy

• Pay that reflects your impact. Compensation benchmarked to the market and shaped by your impact and value.
• Investment in your future. A 401(k) with company match to help you build long-term financial security.
• Time to truly recharge. Paid holidays, generous time off, Summer Fridays, and a company-wide Summer Break week so the whole team can unplug together.
• Care that covers it all. Access to top-tier medical plans for you and your family, including a premium-free plan option, alongside dental, vision, and life insurance.
• Support for growing families. Paid parental leave to give you the time and flexibility to focus on what matters most.
• And more to help you thrive. Stock awards, a performance-based bonus, and exclusive access to Noom’s products, so you can grow with us, win with us, and enjoy what we build.

The base salary range for this position is $101,000 - $129,000. Actual compensation is determined by job-related factors, including experience, skills, qualifications, and location. 

This role is eligible for our NYC or Princeton office locations, operating on a hybrid schedule (2 days per week on-site).

More About Noom

Noom is a leading whole-person health platform on a mission to help people live better, longer. We combine personalized medication with the science of behavior change and psychology, to help people build lasting habits and live longer, healthier lives. With nationally-recognized, holistic programs spanning weight, diabetes prevention, GLP-1 support, menopause, longevity, and more, we serve millions through health plans, employers, and direct-to-consumer offerings. As a trailblazer in the world of health and wellness, Noom makes healthy living easy, fun, and deeply rewarding.

We’re more than a health tech company—we’re a movement. This belief extends to our culture: we empower our people to think big, act boldly, and take pride in their contributions to shaping the future of health. With a strong remote culture, as well as offices in NYC and Princeton, we’ve been named one of the Best Places to Work by Inc., Fortune, Glassdoor, and Quartz—including honors for technology and diversity.

Join us in shaping the future of health. You’ll be part of a passionate, mission-driven team working to make the world a healthier place—one habit at a time.

Noom is proud to be an Equal Opportunity Employer, and all applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, caste, national origin, physical or mental disability, protected veteran status, age, or any other characteristic protected by applicable law. Noom is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities.

To help protect against potential hiring scams, please be aware that all email communications from the Noom Talent team and/or hiring managers will come only from an @noom.com email address. Please ignore any messaging or communication from other domains (e.g. @noom.team). Noom will never ask you for personal payment, require you to purchase equipment, conduct an interview process or messaging exchange via Microsoft Teams, or extend a job offer without the completion of a multi-step interview process featuring a combination of phone, Zoom, and in-person interviews, as well as references. If you are unsure about the validity of a Noom job posting on another website, we strongly encourage you to apply directly through our website.

WHAT IS BOX? 

Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.

WHY BOX NEEDS YOU

You will work on problems that matter to the company, with executive air cover to actually change how things run. You will get to put modern AI into production behind real workflows, not demos. And you will do it inside an IT organization that treats engineering excellence, security, and business outcomes as the same job — not competing ones.

We are looking for an AI Business Automation Engineer to embed directly with functional Subject Matter Experts across Box — Finance, Legal, People, GTM, Customer Success, and beyond — to identify business processes ripe for reinvention and rebuild them with an AI-first mindset. You will sit shoulder-to-shoulder with the people doing the work, deeply understand their workflows, and then design, prototype, and deliver the technical solutions that transform how those teams operate.

This role lives inside IT and carries the full weight of our infrastructure, data, integration, automation, and information security standards. The work spans the stack: one week you may be wiring an AI agent into a Finance close process, the next you may be redesigning a Legal intake workflow as an agentic system, and the next standing up a secure data pipeline so a GTM team can automate customer intelligence workflows. If you are energized by the intersection of business problems, modern AI, and pragmatic engineering — and you want your code in production, not in slideware — this is the role.

WHAT YOU'LL DO 

• Partner directly with functional SMEs to map current-state processes, identify friction and waste, and co-design AI-first reinventions that materially change how the work gets done.

• Translate business requirements into clear technical specifications, architecture diagrams, and delivery plans, then build the agentic solution end-to-end alongside teammates and senior engineers.

• Prototype rapidly using Python and modern AI tooling (LLM APIs, RAG patterns, agent frameworks, workflow orchestration) to validate ideas before scaling them into production.

• Build and maintain integrations between Box’s core SaaS systems (Box, Workday, Salesforce, NetSuite, Atlassian, BigQuery, etc.) using APIs, iPaaS platforms, and custom services.

• Design and implement automations that retire manual work, replace brittle scripts, and unlock capacity for the business.

• Own the data plumbing — pipelines, models, access patterns — that makes AI solutions trustworthy and operable.

• Apply security, privacy, and compliance controls from day one: data classification, least-privilege access, secrets management, auditability, and responsible AI guardrails.

• Operate what you build: monitoring, runbooks, incident response, and continuous improvement based on real usage.

• Evangelize what’s possible. Bring SMEs along the journey so they become co-owners of the AI-first future, not passive recipients of it.

WHO YOU ARE 

We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.

• 2-3+ years of hands-on engineering experience in IT or software engineering roles, with a track record of shipping production code that real users depend on.

• Deep experience with agentic coding platforms like Claude Code, Cursor, and Codex, as well as experience building custom agents that leverage MCP servers and CLIs

• Working proficiency in Python (or equivalent in Go, TypeScript, Java) — you write clean, tested, maintainable code and are comfortable contributing to a real codebase, not just notebooks.

• Demonstrated ability to translate business problems into technical specs and delivered software. You can write a clear design doc, build the thing, and explain it to a non-technical partner.

• Working knowledge across several of the following, with depth in at least one: cloud infrastructure (GCP preferred), data engineering (SQL, warehouses, pipelines), integration patterns (REST, GraphQL, webhooks, event-driven, iPaaS like Workato/SnapLogic), automation tooling, and IAM.

• Familiarity with information security fundamentals — authn/authz, encryption, secrets handling, and safe data practices — and a willingness to learn what it takes to build systems that pass an audit.

• Hands-on experience applying modern AI to real problems: LLM APIs, prompt engineering, retrieval-augmented generation, or building at least one AI-driven workflow, prototype, or agent.

• Experience with agent frameworks (LangGraph, OpenAI Agent SDK, Claude Agent SDK, etc.), MCP, or building tool-using systems at scale.

• Strong product instincts and a bias for shipping. You know when to deliver a thin slice and learn versus when to invest in something more durable.

• Excellent communication skills. You build trust with non-technical partners and write specs, docs, and updates that travel without you in the room.

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.

At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!

EQUAL OPPORTUNITY

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.

Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.

Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here. 

Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here. 

For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here.

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.

The Director of Revenue Analytics will be a vital storyteller and analyst for our entire revenue engine. You will be the go-to-market navigator, using data to illuminate the path to predictable revenue growth and market leadership. Reporting to the Vice President of Revenue Analytics, you will proactively transform raw data into a strategic and actionable narrative that informs the decisions of our C-suite and every leader across Sales, Marketing, Revenue Operations, and Customer Success.  

What You'll Do:

• Be the Source of Truth: Develop and own the models and analyses that define our understanding of business performance, from top-of-funnel lead generation to customer churn and expansion. 
• Uncover Actionable Insights: Go beyond surface-level dashboards to diagnose the "why" behind our performance. You'll analyze the entire prospect journey to identify friction points, conversion opportunities, and levers for growth. 
• Provide Leadership in Sales Compensation Strategy, Plan-Building, Implementation and Performance Analytics.
• Drive Revenue Planning: Lead the annual and quarterly planning process for the Sales Organization, including territory creation, quota setting, and capacity planning, ensuring our resources are aligned with our biggest market opportunities. 
• Forecasting: Lead monthly forecasts and pipeline reviews of the global Multi-Account and Partnership businesses.
• Champion Data-Driven Culture: Establish and govern the key performance indicators (KPIs) for the entire revenue organization, ensuring that all teams are aligned and accountable to shared goals, and own/maintain incentive plans and execution.
• Own the Narrative: Prepare and present at executive-level presentations, QBRs, and strategic offsites that clearly articulate our metrics, performance, and the strategic path forward.

Who You Are:

• Experience: 10+ years in a highly analytical and strategic role such as Revenue Operations, Sales Operations, Sales Compensation, Business Intelligence, with at least 4 years in a leadership capacity within a high-growth B2B SaaS environment.
• Technical Acumen: Expert-level proficiency with Salesforce, advanced data analysis in Excel, and hands-on experience with BI tools (e.g., Tableau Developer). Experience with SQL and data warehousing (e.g., BigQuery, Snowflake) is a major plus.
• Quantitative Mindset: A deep understanding of statistical analysis, forecasting models, and SaaS metrics (e.g., ARR, NRR, LTV:CAC, Churn).
• Strategic Thinker: You are intellectually curious and can move seamlessly from the tactical details to the big-picture strategy
• Exceptional Communicator: You are a "data-driven storyteller" with a rare ability to translate complex data into a clear, compelling narrative for an executive audience.
• Collaborative Partner: You build trust and influence across the organization, working as a true partner to your peers in the revenue leadership team.

About the Role

As an Analyst at Pearl, you will drive tangible business impact by delivering high-quality insights and recommendations grounded in your ability to combine strategic thinking with rigorous analysis. This role requires not only strong technical skills, but also the confidence and judgment to proactively identify opportunities, challenge assumptions, and advocate for data-informed decisions.

You will collaborate closely with Product Managers, executives, and cross-functional teams to uncover insights, shape strategy, and validate ideas through experimentation.

What You’ll Do

• Collaborate with Product and Analytics leadership to structure and perform deep-dive analyses, delivering actionable insights into key business areas
• Analyze large datasets (internal and external) to identify growth and optimization opportunities, translating findings into clear, compelling business recommendations
• Proactively surface insights and confidently make recommendations, even in ambiguous or evolving problem spaces
• Partner cross-functionally with Product, Engineering, Marketing, and executive stakeholders to align on priorities and drive outcomes
• Perform descriptive and prescriptive analytics using ML models, A/B and MAB experimentation, while building reports to understand business trends
• Track and implement business metrics to drive continuous improvement and support data-driven decision-making
• Act as a lead analyst, gaining deep insights into customers to inform strategic decisions

What We’re Looking For

• 3+ years of experience in product analytics (preferably within e-commerce or customer experience products)
• Proficiency in analysis and business modeling using Excel
• Experience with Google Analytics, BigQuery, PowerBI, and Python / R is a plus
• Strong SQL skills with the ability to write complex queries to extract insights
• Expertise in descriptive and inferential statistical analysis
• Strong experience designing, executing, and analyzing A/B or hypothesis-driven experiments

Core Soft Skills & Ways of Working:

• Confident decision influencer: Comfortable making recommendations and advocating for a point of view backed by data—even when there isn’t a perfect answer
• Executive communication: Ability to clearly and concisely communicate insights, trade-offs, and recommendations to senior leadership
• Cross-functional collaborator: Proven ability to partner effectively with diverse teams and navigate differing priorities
• Curiosity and ownership: Proactively identifies problems and opportunities without waiting for direction
• Comfort with ambiguity: Able to operate in loosely defined problem spaces and bring structure to complex questions
• Storytelling with data: Translates complex analysis into clear, compelling narratives that drive action

Remote From these States: California, Florida, Georgia, Idaho, Illinois, Massachusetts, Michigan, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, Texas, Virginia, Washington, and Wisconsin.

Pay Transparency: Pearl will provide pay transparency information upon application to those in qualifying jurisdictions. (Employment is with JustAnswer LLC, a Pearl company.

Data Engineer, Encounters Intelligence

AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used, why customers vary, and identify opportunities for physicians to better serve their patients. Each year, the FDA approves ~6,000 new medical devices. Our solution helps MedTech companies get these products to physicians more effectively so they can improve patient care with the latest technology. We're backed by Benchmark, Redpoint, ICONIQ Growth, and Ajax Health. We're a high-growth AI and Data company scaling rapidly.

We are a team of agentic builders who rely heavily on AI development practices to accelerate our ability to deliver value to our customers. We believe in extreme ownership and agency, where every engineer takes responsibility for working throughout the organization to land impact with customers. We're a close-knit team that enables high levels of autonomy by constantly communicating our intentions, sharing problems and learnings, and helping each other learn and grow.

In this role, you will help lead the evolution of AcuityMD’s core healthcare data assets . You will build new data and intelligence products, improve the quality and interpretability of existing data products, and deliver high confidence and repeatable intelligence that fuels our MedTech-specific modules. You will identify new approaches and new data that improve the quality of our data assets. You will report to the Engineering Manager, Data, and work cross-functionally with engineering, product, and commercial organizations.

We are hiring for multiple levels!

Team Mission

The Data Team is on a mission to represent medical reality by transforming raw data into assets that directly generate sales for our customers and help to bring cutting edge medical technology to the patients that need it most. We thrive on the challenge of turning complexity into simplicity and driving the continuous growth of our products. We acquire terabytes of data from diverse sources, and refine them with modern data processing tools and machine learning algorithms. This shapes the future of our products and delivers value to the customers.

Responsibilities

• Transform , model, and integrate raw data of varying quality from a wide range of data sources into usable, documented and high quality data and intelligence products by applying data modeling and statistical techniques
• Identify, research, and develop new statistical approaches and new types of data to improve and extend our core healthcare data products
• Lead feature and product development cycles from defining Customer problem statements through to delivering solutions
• Work directly with product managers and cross-functional stakeholders to influence and build our Product development plans and roadmap
• Provide thought leadership on data science techniques and mentoring to junior data engineers
• Document and communicate technical and quantitative concepts, schemas, and data product usage guidelines with appropriate levels of detail for internal and external stakeholders

Your Profile

• You have 4+ years of experience working in a data science or similar role, delivering analytic models as Data Products or Data Solutions
• You have professional experience working with time series, geospatial, and/or demographic datasets to make forecasts or predictions.
• You are excited by extracting signals and information from messy, real-world datasets
• You can translate and explain technical requirements, recommendations and code clearly and concisely for non-technical audiences.
• You are opinionated about statistical techniques or Python libraries

Nice to Haves

• Familiarity across our data stack - BigQuery, Google Cloud Storage, dbt & Dagster
• Familiarity with insurance billing and other healthcare datasets
• Familiarity with incorporating large language models into development workflows

AcuityMD is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, market data and may vary from the range provided. Base salary range: $155,000-$220,000

You must have an eligible work permit in the USA to be considered for this position.

We Offer:

• Ground floor opportunity: Join a high-growth startup, backed by world-class investors across Enterprise SaaS and Medical Devices (Benchmark, Redpoint Ventures, and Ajax Health).
• Learning Budget: Reimbursements for relevant learning and up-skilling opportunities.
• Remote work: AcuityMD is committed to supporting full-remote flexibility for employees in the US. We provide a work-from-home stipend for all employees.
• Flexible PTO: Generous time off and flexible hours give you the freedom to do your best work.
• Paid Health, Dental, and Vision Plans: We offer 100% paid health, dental, and vision plans for all employees and 75% paid for our employees' dependents.
• Home Office Stipend: $1,000 to invest in remote office equipment and WiFi reimbursement.
• Optional Team Retreats: We meet in-person multiple times per year for co-working and social gatherings.
• Parental Leave: 8-16 weeks of fully-paid, flexible parental leave.

Who We Are:

The Company: We are builders, who are inspired by our mission to expand patient access to cutting-edge medical technologies. We value working collaboratively to solve hard problems for our customers with simple, innovative solutions. We push ourselves to learn with empathy. We foster an active culture of mentorship and inclusion, and we welcome new team members that share our values.

We're backed by Benchmark, Redpoint Ventures, Ajax Health, and several other leading software and medical device investors. Since Acuity launched in 2020, we've brought on customers ranging from publicly traded Fortune 500 companies to innovative growth-stage companies and regional medical device distributors.

The Product: AcuityMD uses data and software to help teams collaborate around the complex relationships they have with the users of medical technologies: doctors. Our platform empowers medical technology companies to see how their products are used, understand why outcomes vary, and identify opportunities where physicians or sites of care can better serve their patients.

AcuityMD is an Equal Opportunity Employer

AcuityMD is seeking to create a diverse work environment because all teams are stronger with different perspectives and life experiences. We strongly encourage people of all backgrounds to apply. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of AcuityMD are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat!

Data Architect

You own the data spine of the platform: the canonical event envelope, the multi-tenant transactional store, the read-side projections that power every console view and API response, and the AI/ML data infrastructure that makes the system intelligent rather than just instrumented. This is not a specialist role. We are hiring one person who has done all three surfaces at production depth and can hold the trade-offs simultaneously. The data volume is significant, the schema evolution problem is hard, the tenant isolation requirements are unforgiving, and the AI workloads sit on top of all of it. If any of those three surfaces feel uninteresting, this isn't the role. You'll work shoulder-to-shoulder with the Solution Architect on the canonical data model and with the Senior Developer on implementation. You write the migration playbooks, the upcaster chains, the projection rebuild procedures, and the runbooks that let us sleep at night. You will sit in our headquarters in Dallas, TX on a hybrid schedule. The team is in office on Tuesdays, Wednesdays and Thursdays. 

What experience should you have:

• 10+ years of data engineering, data platform, or database architecture experience, with at least 3 owning the architecture, not just the implementation.
• Production experience with event-sourced systems. You have personally implemented or evolved an event envelope, dealt with the upcaster chain problem, and lived with the consequences of an early schema decision.
• Deep Postgres expertise: schema design, indexing, query plan analysis, RLS. Not "I've used Postgres" but "I know what I'd do differently from the last team."
• Experience with streaming platforms: Kafka, Redpanda, Pulsar, or Kinesis. You understand the difference between a topic, a partition, a consumer group, and a saga, and you've designed for all of them.
• Production analytical data infrastructure experience: warehouse design (Snowflake, BigQuery, Databricks, ClickHouse) or modern OLAP patterns. You can take an event log and produce a queryable shape that analysts and AI systems can actually use.
• Hands-on AI/ML data infrastructure experience: vector databases (pgvector, Pinecone, Weaviate, Qdrant), embedding pipelines, retrieval patterns. You have shipped a RAG system that worked and you know why most of them don't.
• Strong SQL, strong enough to be the person other engineers go to.

Nice to have

• Drizzle, Prisma, or another modern TypeScript ORM at production depth.
• Workflow engine experience (Temporal, Cadence, Airflow) and the data implications of long-running processes.
• Background in feature stores, ML pipelines, or model evaluation infrastructure.
• Semantic layer experience: dbt, Cube, or Malloy.
• Compliance experience: SOC 2, HIPAA, GDPR, data residency. The audit story is part of the data story.
• Open-source work or public writing on data architecture.

What you’ll be doing in this role:

• The canonical event envelope and schema evolution strategy: how events are versioned, how upcasters chain, how projections rebuild, and how we add fields without breaking history. You write the rules and enforce them in code review.
• The transactional data layer: Postgres schema design, tenant isolation via row-level security, indexing strategy, query patterns, and migration discipline. Every table in a data plane carries a tenant_id and a policy. You make sure of that.
• The read-side architecture: projection design, materialized views, semantic layer for downstream analytics and AI consumption. You decide how we move from event log to queryable shape and how that shape stays cheap to maintain.
• The AI/ML data infrastructure: vector stores, embedding pipelines, retrieval-augmented generation patterns, feature stores where applicable, and the lineage that lets us trust what comes back.
• Data governance: lineage, retention, deletion (right-to-be-forgotten in a multi-tenant event-sourced system is a real problem and you'll solve it), and the audit story for every piece of customer data we touch.
• The operational playbook: projection rebuilds, replay procedures, schema migrations on hot data, vector index maintenance, capacity planning. If the data layer goes sideways at 2am, your runbook is what saves the on-call engineer

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

#LI-Hybrid

Applicants must be currently authorized to work in the United States on a full-time basis. The company does not anticipate providing sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this individual position.

About You

Nutrafol is seeking a Senior Director, Marketing Analytics & Data Science to bring senior measurement leadership and advanced modeling capability to our marketing analytics function. This role partners with an established marketing analytics team that is actively driving the strategy, roadmap, and cross-functional unification of measurement across brand, growth, and retention.

We're looking for a senior measurement leader with hands-on data science depth to support and elevate an established marketing analytics team. The team owns strategy, roadmap, and cross-functional measurement — you bring technical rigor, modeling depth, and outside experience to accelerate their work. 

Responsibilities: 

• Measurement & modeling — provide senior support across the full portfolio: MMM, MTA, incrementality testing, website analytics, CM360 reporting, and growth journey analytics. Lead the technical implementation of MTA 2.0, partnering with the team that owns strategy and roadmap.
• Methodology & rigor — pressure-test assumptions, validate outputs, and guide reconciliation across measurement approaches so stakeholders know which signal to trust for which decision. Bring clarity to complex methodological questions, including privacy-resilient measurement.
• AI & advanced analytics — apply ML, statistical modeling, and AI (including LLM-based workflows and modeled conversions) to improve measurement quality, speed, and scalability.
• Mentorship — develop team members on measurement craft, modeling depth, and data science methods. Build advanced analytics capability within the function over time.
• Cross Functional Communication — translate technical measurement outputs into clear language for marketing, finance, and executive audiences. Support the team's credibility in cross-functional forums.

What success looks like:

• Own the strategy for MTA revamp, including implementation, validation, and trust — with clear reconciliation against MMM and incrementality
• Ensures measurement rigor is visibly elevated across the portfolio
• Introduce and test AI and modern analytics platforms to improve overall capabilities and measurement effectiveness
• Manage methodological choices, ensuring they’re well-documented, defensible, and trusted by business stakeholders

Requirements:

• 10+ years of experience in marketing analytics and measurement roles, with significant time in senior positions
• Deep expertise across MMM, multi-touch attribution, incrementality testing, website analytics, and growth/funnel analytics
• Hands-on background building or leading MMM and MTA models — with depth to implement, not just oversee
• Strong data science foundation: regression, Bayesian methods, time-series, and ML applied to marketing measurement
• Applied AI experience in marketing analytics — LLM-based workflows, modeled conversions, or measurement automation
• Proficiency in SQL and Python (or R); familiarity with GA4, CM360, and BI tools
• Experience mentoring analytics talent across measurement and data science
• eCommerce background required; DTC/subscription, and multi-channel experience strongly preferred
• Strong communicator; ability to influence cross-functional teams and Leaders across the organization
• Comfortable as a senior partner supporting a team that owns strategic direction

Preferred:

• Experience applying generative AI or LLMs to analytics workflows (insight generation, automation, self-serve)
• Hands-on knowledge of privacy-resilient measurement approaches (server-side tracking, modeled conversions, data clean rooms)
• Familiarity with modern data stack tools (Snowflake, BigQuery, dbt) and BI platforms (Looker, Tableau, Power BI)

About The Role

This is a high-leverage, high-agency role focused on scaling partner-sourced revenue through deep technical alignment with Snowflake, Databricks, GCP, and the broader MarTech & AdTech ecosystem.

You’ll operate more like a GTM strategist and operator than a traditional SE, working across dozens of deals at once through partner influence — not direct sales cycles. You’ll help partners and their customers design the right solutions, accelerate time-to-value, and drive joint adoption, all while maintaining strong technical credibility.

We get excited talking to data engineers, product managers, marketers, and business leaders — and know how to distill technical concepts for different audiences. Your work will make it easier for partners to succeed and, ultimately, grow Hightouch’s partner-sourced revenue.

What You’ll Do

• Drive outbound technical engagement with partner field teams to educate, evangelize, and accelerate joint opportunities
• Act as the technical counterpart for partner AEs and solution architects in enterprise opportunities, supporting discovery, architecture, and solution design
• Build and deliver scalable enablement materials, hands-on labs, demos, and GTM resources for partner teams
• Collaborate with Product, Sales, and Engineering to shape partner strategy and influence product roadmap based on partner and market feedback
• Design and present high-impact, industry- and customer-tailored demos, workshops, and executive briefings
• Serve as a trusted technical advisor to partners building product integrations or joint solutions with Hightouch
• Translate complex customer data challenges into actionable guidance for both technical and executive stakeholders
• Continuously improve knowledge via partner certifications, new tools, and trends in composable CDP, MarTech, AdTech, and data activation
• Travel up to 25% for partner events, enablement sessions, and strategic GTM engagements

What We’re Looking For

• 4+ years in Solutions Engineering, Product, or GTM roles at data infrastructure, MarTech, AdTech, or SaaS companies
• Experience supporting enterprise partners, ideally influencing deals or adoption through technical expertise
• Strong grasp of the modern data stack and composable architectures — familiarity with tools like Fivetran, dbt, Hightouch, Braze, Iterable, or Salesforce Data Cloud is a plus
• Hands-on technical fluency with SQL and cloud data warehouses (Snowflake, Databricks, BigQuery)
• Ability to communicate complex technical concepts to both executive and practitioner audiences
• Proven track record of driving adoption or revenue through partner, field, or cross-functional GTM motions
• Intellectual curiosity, high ambition, strong ownership, and a bias toward action
• Experience working across multiple teams (Product, Engineering, Sales, Support) to solve complex problems
• Comfortable engaging both technical and non-technical stakeholders

Bonus If You Have

• SaaS or cloud architecture experience
• Experience working with channel or ecosystem partners
• Development experience with APIs
• Consulting or startup experience
• Experience bridging Product, Engineering, Support, and Sales teams internally and externally

Compensation

On-Target Earnings Range: $160,000-$230,000 annually
Base Salary Range: $90,000- $161,000 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

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.

• Lead a team of Engineers, setting clear expectations and providing continuous feedback, coaching, and mentoring to ensure success and growth
• Working closely with feature owners, economy, liveops and other development teams to implement feature simulations and technological pipelines for Monopoly GO!
• Driving the implementation of systems that transform raw game data into analytical datasets for simulation and evaluation
• Ensuring technical performance is “Best-in-Class” throughout development
• Writing automated, high-quality tests (unit, integration, load, etc.) and working with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Reviewing Technical Design Documents and provide feedback and guidance to other engineers
• Collaborating and communicating with cross-functional departments including: economy, liveops, qa, etc.
• Participating in a strong engineering team and culture
• Live game support & troubleshooting
• Contributing to technical plans and discussing the workflows and requirements with stakeholders
• Implementing tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences
• Explore AI-assisted tools (LLMs, copilots, automation frameworks) to improve productivity, enhance analysis depth, and accelerate iteration cycles

• 6+ years as part of a professional game development team or other relevant area
• Experience managing people, driving 1:1s and performance reviews, doing follow ups and providing regular feedback to direct reports
• Experience driving and leading the technical execution of complex and interdisciplinary developments
• Mastery of C#, Python or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Strong understanding of game framework architecture at scale, maintainability over time, robust API design, etc.
• Strong knowledge of application design best patterns and practices; understanding of maintainability concerns when designing and implementing applications
• Enjoy solving complex technical problems, especially in large systems
• Willingness to learn and work with new technologies
• You’re a great tech communicator who knows how to share knowledge with non-technical people
• You have a desire to seek out and take on user feedback to drive world class application development
• A passion for games

• Experience building your own games as personal projects or game jams
• Experience with AWS, Docker, Kibana, Ansible
• Experience with automated testing
• Solid experience with SQL and at least one data warehouse (BigQuery preferred)
• Knowledge of probability, applied statistics, and simulation techniques
• Experience with distributed processing tools: Spark, PySpark, or alternatives
• Experience building ETL/ELT pipelines using Airflow, DBT, or similar frameworks
• Experience in gaming, monetization, or game economy
• Familiarity with gameplay logic or LiveOps systems
• Experience developing internal libraries or tools for non-technical teams
• Curiosity for experimenting with AI systems to extend capabilities of existing pipelines or prototype new evaluation methods

At Scopely, we believe in creating a supportive work environment where everyone is treated with respect and inclusivity. We welcome individuals from all backgrounds and are committed to providing equal employment opportunities regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other protected status.

• Lead a team of Engineers, setting clear expectations and providing continuous feedback, coaching, and mentoring to ensure success and growth
• Working closely with feature owners, economy, liveops and other development teams to implement feature simulations and technological pipelines for Monopoly GO!
• Driving the implementation of systems that transform raw game data into analytical datasets for simulation and evaluation
• Ensuring technical performance is “Best-in-Class” throughout development
• Writing automated, high-quality tests (unit, integration, load, etc.) and working with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Reviewing Technical Design Documents and provide feedback and guidance to other engineers
• Collaborating and communicating with cross-functional departments including: economy, liveops, qa, etc.
• Participating in a strong engineering team and culture
• Live game support & troubleshooting
• Contributing to technical plans and discussing the workflows and requirements with stakeholders
• Implementing tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences
• Explore AI-assisted tools (LLMs, copilots, automation frameworks) to improve productivity, enhance analysis depth, and accelerate iteration cycles

• 6+ years as part of a professional game development team or other relevant area
• Experience managing people, driving 1:1s and performance reviews, doing follow ups and providing regular feedback to direct reports
• Experience driving and leading the technical execution of complex and interdisciplinary developments
• Mastery of C#, Python or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Strong understanding of game framework architecture at scale, maintainability over time, robust API design, etc.
• Strong knowledge of application design best patterns and practices; understanding of maintainability concerns when designing and implementing applications
• Enjoy solving complex technical problems, especially in large systems
• Willingness to learn and work with new technologies
• You’re a great tech communicator who knows how to share knowledge with non-technical people
• You have a desire to seek out and take on user feedback to drive world class application development
• A passion for games

• Experience building your own games as personal projects or game jams
• Experience with AWS, Docker, Kibana, Ansible
• Experience with automated testing
• Solid experience with SQL and at least one data warehouse (BigQuery preferred)
• Knowledge of probability, applied statistics, and simulation techniques
• Experience with distributed processing tools: Spark, PySpark, or alternatives
• Experience building ETL/ELT pipelines using Airflow, DBT, or similar frameworks
• Experience in gaming, monetization, or game economy
• Familiarity with gameplay logic or LiveOps systems
• Experience developing internal libraries or tools for non-technical teams
• Curiosity for experimenting with AI systems to extend capabilities of existing pipelines or prototype new evaluation methods

At Scopely, we believe in creating a supportive work environment where everyone is treated with respect and inclusivity. We welcome individuals from all backgrounds and are committed to providing equal employment opportunities regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other protected status.

• Lead a team of Engineers, setting clear expectations and providing continuous feedback, coaching, and mentoring to ensure success and growth
• Working closely with feature owners, economy, liveops and other development teams to implement feature simulations and technological pipelines for Monopoly GO!
• Driving the implementation of systems that transform raw game data into analytical datasets for simulation and evaluation
• Ensuring technical performance is “Best-in-Class” throughout development
• Writing automated, high-quality tests (unit, integration, load, etc.) and working with QA teams to improve gameplay experience, curtail exploits and ensure that everything works smoothly
• Reviewing Technical Design Documents and provide feedback and guidance to other engineers
• Collaborating and communicating with cross-functional departments including: economy, liveops, qa, etc.
• Participating in a strong engineering team and culture
• Live game support & troubleshooting
• Contributing to technical plans and discussing the workflows and requirements with stakeholders
• Implementing tools to empower our liveops and game design teams in the creation of new and exciting game-play experiences
• Explore AI-assisted tools (LLMs, copilots, automation frameworks) to improve productivity, enhance analysis depth, and accelerate iteration cycles

• 6+ years as part of a professional game development team or other relevant area
• Experience managing people, driving 1:1s and performance reviews, doing follow ups and providing regular feedback to direct reports
• Experience driving and leading the technical execution of complex and interdisciplinary developments
• Mastery of C#, Python or another OO language, including experience with asynchronous and multi-threaded programming paradigms
• Hands-on experience with cloud computing (AWS, GCP...) and low-latency, high-scale distributed systems
• Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms)
• Strong understanding of game framework architecture at scale, maintainability over time, robust API design, etc.
• Strong knowledge of application design best patterns and practices; understanding of maintainability concerns when designing and implementing applications
• Enjoy solving complex technical problems, especially in large systems
• Willingness to learn and work with new technologies
• You’re a great tech communicator who knows how to share knowledge with non-technical people
• You have a desire to seek out and take on user feedback to drive world class application development
• A passion for games

• Experience building your own games as personal projects or game jams
• Experience with AWS, Docker, Kibana, Ansible
• Experience with automated testing
• Solid experience with SQL and at least one data warehouse (BigQuery preferred)
• Knowledge of probability, applied statistics, and simulation techniques
• Experience with distributed processing tools: Spark, PySpark, or alternatives
• Experience building ETL/ELT pipelines using Airflow, DBT, or similar frameworks
• Experience in gaming, monetization, or game economy
• Familiarity with gameplay logic or LiveOps systems
• Experience developing internal libraries or tools for non-technical teams
• Curiosity for experimenting with AI systems to extend capabilities of existing pipelines or prototype new evaluation methods

At Scopely, we believe in creating a supportive work environment where everyone is treated with respect and inclusivity. We welcome individuals from all backgrounds and are committed to providing equal employment opportunities regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other protected status.

Your role
As an analytics engineer, you’ll be an integral part of our data analysis and QA team, providing essential data support for our cutting-edge Agentic AI initiatives, specifically with ASR and NLP teams. A key focus will be on leveraging data analysis to identify and drive optimization of the conversational flows and underlying data infrastructure for agentic voice and chat solutions. You will actively seek opportunities to improve the team’s productivity and workflow through automation and process optimization, including implementing automated QA for our agentic systems.

This position reports to the manager of the Data Analysis and QA team and has the opportunity to be based in our Vancouver, Canada Office.

What you’ll do 

• You will work closely with other Agentic AI teams to test and evaluate our Agentic voice and chat solutions.
• You will design and implement data logging and monitoring strategies to capture key analytical insights.
• You will utilize data analysis to identify areas for optimization in the voice bot's conversational flows and data pipeline.
• You will build and maintain data pipelines on Vertex AI pipelines. 
• You will work closely with the AI Platform team to build tooling for data science projects. 
• You will implement automation and processes to improve our workflow. 
• You will create and maintain dashboards (Tableau) and data pipelines (Dataform) that help drive product and business decisions.
• You will contribute to our continuous efforts to enforce data privacy and compliance. 
• You will collaborate with cross-functional teams, including AI, engineering, and product teams.

Skills you’ll bring 

• Bachelor's or Master’s degree in Computer Science, Software Engineering, or related fields.
• 1 - 3 years of working experience with software engineering or data engineering projects. 
• 1 - 3 years of experience with Python, working with GCP, including storage, BigQuery, Compute, Kubernetes, or similar.
• 1 - 3 years of experience with SQL, able to optimize complex SQL queries and build data pipelines. 
• Experience with BI tools such as Tableau. 
• Experience analyzing the performance of conversational AI systems (e.g., voice bots, chatbots) and collaborating with cross-functional teams (AI, Product) on data-driven improvements.
• Experience working with popular LLM frameworks.
• Strong problem-solving and analytical abilities, with the capacity to handle complex technical and analytical problems.

The work: 

• Pipeline Architect: Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies. 

• Transformation Titan: Develop efficient data processing and transformation workflows to support analytics and reporting needs. 

• Integration Hero: Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets. 

• Collaboration Champion: Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals. 

• Quality Guardian: Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability. 

• Automation Avenger: Contribute to data governance, security, and automation initiatives within the data ecosystem. 

• Cloud Commander: Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment. 

Here’s what you need: 

• Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory) 

• Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake) 
• Experience with Python, SQL, Spark, and PySpark 

• Experience with data platforms like Databricks, Palantir, and Snowflake 
• Familiarity with data orchestration and data quality processes 
• Must be a US Citizen

Bonus points if you have: 

• Secret clearance or above 

• Experience working with federal clients 

• Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi 

• Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack 

• Experience with Agile / Scrum

• Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar 

About Us:

Rent the Runway (RTR)  is transforming the way we get dressed by pioneering the world’s first Closet in the Cloud. Founded in 2009, RTR has disrupted the $2.4 trillion fashion industry by inspiring women with a more joyful, sustainable and financially-savvy way to feel their best every day. As the ultimate destination for circular fashion, the brand now offers infinite points of access to its shared closet via a fully customizable subscription to fashion, one-time rental or ownership. RTR offers designer apparel and accessories from hundreds of brand partners and has built in-house proprietary technology and a one-of-a-kind reverse logistics operation. Under CEO and Co-Founder Jennifer Hyman’s leadership, RTR has been named to CNBC’s “Disruptor 50” five times in ten years, and has been placed on Fast Company’s Most Innovative Companies list multiple times, while Hyman herself has been named to the “TIME 100” most influential people in the world and as one of People magazine’s “Women Changing the World.”

Galway Office 

Rent The Runway established its European Technology Hub in Galway in April 2019.  Based in the historic Claddagh area of the city, the growing team in Galway tackles core technology challenges and influences the next generation of services critical to Rent The Runway’s success and continued growth. 

The Galway office is Rent the Runway's first international office outside the US and enables the company to significantly expand its Software Engineering, Product Development, Machine Learning Engineering and Data Science footprint. Rent The Runway’s Galway-based employees have the opportunity to grow their careers across several roles and career paths in Technology.

Our engineering team is smart, pragmatic, and entrepreneurial. We practice continuous integration & test-driven development, engage in constant peer code reviews & pair programming, and work hard to give back to the software community through open-source contributions.

About the Team

The Data Engineering team plays a pivotal role in RTR’s technology and analytics ecosystem. The team is responsible for the data warehouse, data ingestion and transformation pipelines, and the infrastructure that enables reliable, high-quality data to flow across the company.

The team partners closely with Data Science, Business Intelligence, Machine Learning, Product, Finance, Marketing, Operations, and Engineering teams to ensure RTR’s data platform is trusted, scalable, well-governed, and able to support critical business decisions.

What You’ll Do

As an Engineering Manager for Data Engineering at Rent the Runway, you will lead the team responsible for building, operating, and evolving RTR’s core data platform. You will combine strong engineering leadership with a deep understanding of data systems, data quality, platform reliability, and stakeholder needs.

You will be responsible for leading a team of talented data engineers, setting technical direction, driving delivery of strategic data initiatives, and ensuring our data warehouse, pipelines, models, and data platform infrastructure are reliable, scalable, secure, and well-governed.

This role is ideal for someone who enjoys building strong teams, partnering across technical and non-technical stakeholders, and leading data engineering work that has meaningful business impact. You will help shape how RTR captures, transforms, governs, and uses data across the organisation.

• Lead and develop a team of data engineers.
• Own delivery of key data engineering initiatives, from planning through execution.
• Drive the evolution of RTR’s data platform, including the data warehouse, pipelines, transformations, orchestration, and supporting infrastructure.
• Partner with Data Science, BI, ML, Product, Finance, Operations, and Engineering teams to deliver trusted data solutions.
• Set priorities for the team, balancing strategic work, stakeholder needs, operational support, and technical debt.
• Promote strong data quality, governance, documentation, lineage, and ownership practices.
• Help the team build reliable data pipelines using tools such as dbt, Python, Prefect, Airflow, or similar.
• Ensure data systems are observable, supportable, and operated with strong production practices.
• Communicate clearly with technical teams, non-technical stakeholders, and senior leadership.
• Build a team culture of ownership, quality, collaboration, and continuous improvement.

About You

• You have experience leading engineers in data engineering, data platform, software engineering, or a related technical area.
• You understand modern data engineering practices, including ingestion, transformation, modelling, orchestration, data quality, and governance.
• You have experience with cloud data platforms such as Snowflake, BigQuery, Redshift, Databricks, or similar.
• You are comfortable with SQL and understand how reliable analytical data models are built and maintained.
• You have worked with tools such as dbt, Python, Prefect, Airflow, Looker, Tableau, Fivetran, or similar.
• You can manage technical roadmaps, prioritise effectively, and deliver cross-functional projects.
• You communicate well with both technical and non-technical stakeholders.
• You care deeply about coaching engineers and supporting their career growth.
• You balance strategic delivery with operational excellence and support.
• Experience with CI/CD, cloud infrastructure, Terraform, or data observability is a plus.

Benefits:

At Rent the Runway, we’re committed to the happiness and wellbeing of our employees, and aim to create a workplace that fosters both personal and professional growth. Our inclusive benefits include, but are not limited to:

• Generous Paid Time Off including annual leave, paid bereavement, and family sick leave - every employee needs time to take care of themselves and their family.
• Universal Paid Parental Leave for both parents + flexible return to work program  - because we know your newest family member(s) deserve your undivided attention.
• Paid Sabbatical after 5 years of continuous service - unplug, recharge, and have some fun.
• Competitive Stakeholder Pension - taking care of your future. 
• Comprehensive health, dental care and dependents care from day 1 of employment - Your health comes first and we’ve got you covered. 
• Company wide events and outings - our team spirit is no joke - we know how to have fun!
• Hybrid Work -This hybrid role requires 2-3 days per week in our Galway, Ireland office with the option to work 2 days remotely.

Rent the Runway is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant or employee on any legally-recognised basis, including, but not limited to: gender, marital status, family status, age disability, sexual orientation, race, religion, and membership of the Traveller community.

#LI-EM1

Database Reliability Engineer (DBRE) 

About Us:

Rent the Runway (RTR)  is transforming the way we get dressed by pioneering the world’s first Closet in the Cloud. Founded in 2009, RTR has disrupted the $2.4 trillion fashion industry by inspiring women with a more joyful, sustainable and financially-savvy way to feel their best every day. As the ultimate destination for circular fashion, the brand now offers infinite points of access to its shared closet via a fully customizable subscription to fashion, one-time rental or ownership. RTR offers designer apparel and accessories from hundreds of brand partners and has built in-house proprietary technology and a one-of-a-kind reverse logistics operation. Under CEO and Co-Founder Jennifer Hyman’s leadership, RTR has been named to CNBC’s “Disruptor 50” five times in ten years, and has been placed on Fast Company’s Most Innovative Companies list multiple times, while Hyman herself has been named to the “TIME 100” most influential people in the world and as one of People magazine’s “Women Changing the World.”

Galway Office 

Rent The Runway established its European Technology Hub in Galway in April 2019.  Based in the historic Claddagh area of the city, the growing team in Galway tackles core technology challenges and influences the next generation of services critical to Rent The Runway’s success and continued growth. 

The Galway office is Rent the Runway's first international office outside the US and enables the company to significantly expand its Software Engineering, Product Development, Machine Learning Engineering and Data Science footprint. Rent The Runway’s Galway-based employees have the opportunity to grow their careers across several roles and career paths in Technology.

Our engineering team is smart, pragmatic, and entrepreneurial. We practice continuous integration & test-driven development, engage in constant peer code reviews & pair programming, and work hard to give back to the software community through open-source contributions.

About the Job:

As a Database Administrator/Reliability Engineer, you’ll take ownership of the performance, reliability, and data governance of our cloud-managed database platforms, primarily CloudSQL(MySQL) and MongoDB. A key part of the role is driving data lifecycle management — including pruning, archiving, and retention policies — to ensure our platform remains clean, compliant, and cost-efficient. You'll collaborate with engineering teams to optimize query performance, advance automation efforts, and evolve our database operations toward a modern, cloud-native, infrastructure-as-code model. As part of our broader data platform transformation, you’ll have the opportunity to take on scoped work in support of the Data Engineering team — contributing to the data platform rebuild through your expertise in database performance, structure, and governance. This is a hands-on, cross-functional role that plays a critical part in maintaining a scalable, governed, and low-maintenance data foundation as the business grows.

What You’ll Do:

• Availability & Reliability: Manage and optimise CloudSQL and MongoDB environments for performance, reliability, recovery, and cost.
• Data Administration: Improve platform efficiency through query tuning, schema design, and automation.
• Data Governance: Implement data lifecycle and governance practices (e.g. pruning, retention, access control).
• Change Management: Develop maintenance and operations automation through CI/CD pipelines, ensuring that database data and schema changes along with infrastructure updates are seamless and audited.
• Observability: Implement practices to build database-specific alerting, tracing, and automation that maintain the highest levels of data availability.
• Compliance: SOX-compliant access controls, ensuring data integrity and auditability are baked into the code.
• Operations: Support incident response, root cause analysis, and cross-functional platform initiatives.
• Take on scoped technical delivery work as part of broader platform initiatives.

About You

• You have 6+ years of experience working with relational databases (e.g., MySQL, Postgres) in production, including cloud-managed services like CloudSQL or RDS
• You have 2+ years of hands-on experience with MongoDB, including performance tuning and applying governance or lifecycle practices
• You’ve worked in cloud-native environments (preferably GCP) and are comfortable using Terraform or equivalent infrastructure-as-code tools
• You are proficient in Python (or another general-purpose language) for scripting, automation, or infrastructure workflows
• You have experience implementing CI/CD workflows for database changes and are familiar with Git-based deployment
• You’ve contributed to or enforced data governance policies such as retention, pruning, and access controls
• You’ve made measurable improvements to platform performance, cost, or reliability — including optimizing indexing strategies, query patterns, and database schema design
• You take ownership, communicate clearly, and enjoy collaborating with engineers and data teams
• You’re pragmatic, improvement-driven, and excited to shape the future of database engineering in a cloud-first world

Bonus Points

• Familiarity with Snowflake or BigQuery, including query performance and cost optimization
• Experience working with workflow orchestration tools such as Prefect, Airflow, or similar
• Experience integrating SQL or dbt linters into CI/CD workflows to enforce code quality and platform standards
• Experience designing or maintaining data quality checks, test automation, or schema validation workflows
• Hands-on experience with Kubernetes and Helm to manage database operators and sidecar utilities.
• Background in tooling like Python, Go, or Java to automate away "toil."

Benefits:

At Rent the Runway, we’re committed to the happiness and well-being of our employees, and aim to create a workplace that fosters both personal and professional growth. Our inclusive benefits include, but are not limited to:

• Generous Paid Time Off, including annual leave, paid bereavement, and family sick leave - every employee needs time to take care of themselves and their family.
• Universal Paid Parental Leave for both parents + flexible return to work program  - because we know your newest family member(s) deserve your undivided attention.
• Paid Sabbatical after 5 years of continuous service - unplug, recharge, and have some fun.
• Competitive Stakeholder Pension - taking care of your future. 
• Comprehensive health, dental care and dependents care from day 1 of employment - Your health comes first, and we’ve got you covered. 
• Company-wide events and outings - our team spirit is no joke - we know how to have fun!
• Hybrid Work -This hybrid role requires 2-3 days per week in our Galway, Ireland office, with the option to work 2 days remotely.

Rent the Runway is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant or employee on any legally recognised basis, including, but not limited to: gender, marital status, family status, age, disability, sexual orientation, race, religion, and membership of the Traveller community.

#LI-EM1

At Scale AI, we help leading enterprises turn AI from a promising capability into reliable systems that improve real workflows and deliver measurable business value. We are hiring a Senior Forward Deployed Data Scientist / Engineer to work directly with customers on ambiguous, high-impact problems at the intersection of data science, product development, and AI deployment.

This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production. In many cases, the data scientist builds the first usable version of the solution, proves value quickly, and helps drive it into a durable product or platform capability.

The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions.

What you’ll do

• Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria
• Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans
• Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems
• Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration
• Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations
• Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement
• Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline
• Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production
• Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities

What we’re looking for

• 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role
• Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact
• Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans
• Strong foundation in statistics, experimentation, causal reasoning, and measurement
• Experience building tools or products, not just analyses — for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications
• Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work
• Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly
• Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives
• High ownership and bias toward shipping in fast-moving environments with incomplete information

Preferred qualifications

• Experience in a forward deployed, solutions, consulting, or other client-facing technical role
• Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products
• Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow
• Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery
• Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems
• Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling
• Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign

What success looks like

Success in this role means taking a messy, high-stakes customer problem and turning it into a deployed system that is actually used. Sometimes that system is a model. Sometimes it is an evaluation framework. Sometimes it is an operator-facing tool or a lightweight data product that changes how decisions get made. In all cases, success is defined by measurable impact, rigorous evaluation, and reliable execution.

Who Are We?

Prolaio believes that continuous learning and collaboration can make a significant difference in how heart care is administered. We are creating smarter ways to address heart disease and heart risks by integrating a connected platform enabled by smart data science to help patients access the care and attention that will inform better treatments and outcomes.

We envision a future where care teams and hospitals can be more effective, the healthcare system can be more efficient, and patients have a better care experience and more fulfilling lives.

This is precision cardiology, and we know it’s within reach.

What Will You Do?

The Overview

We are seeking an experienced Senior Backend Developer to join our Integrations team. In this role, you will own the design, development, and maintenance of backend services that connect our platform to external healthcare systems, partner APIs, ERP systems, and analytics tools. You will be a key technical contributor on a small, high-impact team responsible for ensuring that clinical and operational data flows securely and reliably across our ecosystem.

This is a senior individual contributor role with real architectural influence. You will work closely with the Integrations Lead to shape technical direction, mentor teammates, and make decisions that directly affect how our platform connects to the broader healthcare landscape. You will also collaborate cross-functionally with our Cloud, Data, Mobile, and Web teams.

The Specifics

• Integration Architecture: Design and implement integration patterns for connecting external healthcare systems, ERP platforms, and analytics tools to our internal services. You will own the technical approach for new partner integrations end-to-end
• Backend Development: Build and maintain scalable backend services using Kotlin and/or Python, with a focus on reliability, security, and clean API contracts.
• API Design & Collaboration: Design, document, and maintain RESTful APIs. Work directly with external partners and internal teams to negotiate data contracts, troubleshoot integration issues, and ensure interoperability.
• Cloud & Containerization: Deploy and manage containerized services on Google Cloud Platform (GCP) or similar, using Docker/Kubernetes (k8s).
• Data Pipeline & Warehouse Awareness: Collaborate with the Data Engineering team to ensure integrations feed cleanly into and from data pipelines, the data warehouse (BigQuery), and orchestration systems (Dagster). 
• Monitoring & Reliability: Implement monitoring, logging, and alerting for cloud services using tools like Datadog, or similar. Own the reliability of the integration layer, when data stops flowing, you are the first responder
• Security & Compliance: Ensure all integrations meet security best practices and regulatory requirements, particularly around sensitive healthcare data (SOC2, HIPAA, 21 CFR Part 11).
• Mentorship: Support the growth of more junior engineers on the team through code review, pairing, and architectural guidance.

Why Prolaio?

• Impactful Work: You will join in the fight to eradicate the world’s #1 killer by extending and saving the lives of our patients while also being at the forefront of changing the healthcare industry through technology. 
• Innovative Environment: You will be part of an organization doing something that’s never been done before.
• Professional Growth: You will join a growing team and have a substantial impact on our daily and future operations with the opportunity to continuously learn and grow.
• Collaborative Team: You will be part of a team of collaborative, curious, and committed individuals focused on the collective good, inclusiveness, scientific excellence, and advancing digital health for cardiology.

Who You Are

Experience and Education

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 5-7+ years of experience as a Backend Engineer, Software Integration Engineer, Cloud Software Engineer or similar role, with at least 2 years focused on system integrations or API-heavy environments.

Technical Skills and Practice

• Backend Development: Strong proficiency in Kotlin and/or Python for building production-grade services and integrations.
• Integration Patterns: Deep experience with integration architecture, RESTful APIs, webhooks, message queues, ETL/ELT patterns, and data transformation.
• API Expertise: Experience designing, versioning, and securing APIs. Comfortable writing and maintaining API documentation. Familiar with authentication patterns.
• Cloud & Containers: Hands-on experience deploying and managing services on Google Cloud Platform (GCP) or similar, using Docker/Kubernetes (k8s).
• Databases: Comfortable working with both relational and NoSQL databases. Understands data modeling trade-offs in integration contexts.
• CI/CD & Testing: Hands-on experience implementing and maintaining CI/CD pipelines, along with unit, integration, and regression tests
• Monitoring and Debugging: Proficient with observability tools (Datadog, Prometheus, Grafana or similar). Able to diagnose issues in distributed systems across service boundaries.
• Security & Compliance: Working knowledge of security best practices and compliance frameworks (SOC2, HIPAA). Experience handling PHI or PII is a strong plus.
• Communication: Clear communicator who can explain technical decisions to non-technical stakeholders. Comfortable working directly with external partners.
• Remote Work Ability: Proven ability to work effectively in a remote, distributed team across time zones.
• Language Proficiency: Fluent in English.

Additional Qualifications (Nice to Haves)

• Experience with healthcare data standards (HL7, FHIR, DICOM).
• Familiarity with ERP integrations (NetSuite, SAP, or similar).
• Experience with data orchestration tools (Dagster, Airflow, Prefect).
• Prior experience in a healthcare or regulated industry (FDA, GxP).
• Familiarity with reporting and analytics platforms (Superset, Looker, or similar).

Why You’ll Love Working Here

• Meaningful Compensation: Competitive salary, performance bonus, and equity so you can share in what we build.
• Great Health Coverage: Medical, dental, and vision plans with multiple options and strong company contributions.
• Flexible Spending Perks: HSA, FSA, commuter benefits, and a $1,200 annual Lifestyle Spending Account to support wellness, commuting, family needs, and more.
• Time to Recharge: Generous paid time off, sick leave, and company holidays.
• Family-First Benefits: Paid parental leave, caregiver leave, and support for growing families.
• Security & Peace of Mind: Company-paid life insurance and short- and long-term disability coverage.
• Plan for the Future: 401(k) plan to help you build long-term financial security.
• Care When You Need It: Easy access to telehealth and optional supplemental coverage for life’s unexpected moments.

Starting Salary is at $153,000.00 (Exact Compensation may vary based on skills, experience, and location)

Role 

We are looking for an experienced Staff Machine Learning Engineer to join our Engineering team. This role is based in Bangalore, reporting to the Senior Engg. Manager - Data + AI.

You will be responsible for designing and developing large scale ML Systems that analyze massive volumes of network data to detect anomalies, threats, and patterns in near real-time. You’ll solve complex real-world business problems by partnering closely with data architects and product teams to deliver impactful automation and intelligence, including the design and orchestration of specialized autonomous agents.

What you’ll do (Role Expectations)

• Build and maintain large-scale distributed systems to support the full ML lifecycle, including data collection, feature engineering, and Agentic AI components like agent workflows and real-time serving
• Solve complex business problems such as threat detection by collaborating with data architects and product teams to build multi-agent solutions that automate analysis and decisioning
• Partner with cross-functional teams to assess requirements, manage scheduling, and lead the development and debugging of agent-based systems
• Support the rollout and monitoring plans for production-grade ML systems to ensure performance, observability, and scalability

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 5+ years of experience as an AI-ML Engineer with technical proficiency in Java, Springboot, Python, and PyTorch or TensorFlow
• Proven experience writing high-performance queries for large-scale analytics platforms such as Azure Data Explorer (ADX/Kusto) or Google BigQuery, including partitioning-aware patterns
• Deep expertise in designing and deploying anomaly detection using tree-based models, statistical techniques, and streaming ML approaches
• Hands-on experience developing multi-agent orchestration, agent-to-agent communications, and autonomous decision-making workflows
• Strong technical background with distributed infrastructure and public cloud platforms like Azure, GCP, or AWS

What Will Make You Stand Out (Preferred Qualifications)

• A track record of shipping end-to-end applications at scale that process billions of events
• Willingness to work across the full spectrum of Big Data and AI-based solutions
• Hands-on experience with SOTA AI frameworks, prompt engineering, and complex agent architectures

#LI-Bangalore #LI-AN4

About the Role

Fivetran is the backbone of the modern data stack, powering Open Data Infrastructure for thousands of global enterprises. As a Senior Sales Engineer specializing in Customer Expansion for ASEAN, you will be at the forefront of a booming market, driving digital transformation for our most strategic existing customers.

In this role, you aren't just maintaining accounts—you are an architect of growth. Leveraging your expertise in Data Replication (CDC), ELT/ETL, Cloud Data Warehousing, and Data Lakehouses, you will identify high-impact expansion opportunities. You will partner with Account Managers to build faster, more secure data foundations that enable our customers to win in the era of AI. Supported by a world-class global SE team and an agile APAC sales organization, you will be the technical pivot point for Fivetran’s continued dominance in Southeast Asia.

This is a full-time, remote position based in Singapore. 

Your focus will be on maximizing customer lifetime value (CLV) by:

• Strategic Land & Expand: Penetrating new business units and subsidiaries within global conglomerates.
• Use Case Innovation: Identifying whitespace for new data pipelines, from real-time analytics to GenAI readiness.
• Product Evangelism: Introducing advanced connectors (SAP, Oracle, HVR) and new platform capabilities.
• Architecture Evolution: Ensuring Fivetran remains the core standard as customers scale their data volume and complexity.

What You’ll Do

• Drive Technical Win for Expansion: Lead technical discovery and solution design for upsell and cross-sell motions across a high-value Commercial/Enterprise account base.
• Strategic Partnership: Collaborate with Account Managers (AMs) and Customer Success Managers (CSMs) to interpret usage signals and identify "trigger events" for expansion.
• Architect for Scale: Help customers evolve their legacy architectures to support modern cloud-scale volumes and hybrid-cloud environments.
• Champion the Platform: Position the value of Fivetran’s high-volume agents and enterprise-grade security to technical stakeholders and C-suite executives.
• Community & Enablement: Act as a thought leader in the ASEAN data community. You will produce technical content, lead bespoke training, and mentor partner teams on Fivetran’s competitive edge.
• Regional Expertise: Leverage your deep understanding of the ASEAN business landscape to navigate complex, multi-faceted decision-making groups.

Skills We're Looking For

• Enterprise Experience: 5+ years of operational experience with Tier-1 databases (SAP, Oracle, SQL Server) or supporting large-scale database operations as a Systems Integrator.
• Expansion Mindset: A proven ability to identify growth signals and translate technical needs into a compelling business case for expansion.
• The Technical Stack:
• Deep CDC Knowledge: Expert-level understanding of Data Replication/Integration and Change Data Capture.
• Cloud Platforms: Hands-on proficiency with AWS, GCP, or Azure.
• The Data Destination: Experience with Snowflake, Databricks, BigQuery, or Redshift, including Lakehouse architectures (Iceberg, Delta Lake).
• Languages: Proficiency in SQL is mandatory; experience with Python/JavaScript and REST APIs is highly preferred.
• Hybrid Savvy: Knowledge of both on-premise (PostgreSQL, MongoDB) and cloud-native deployments.
• Strategic Communicator: Ability to "code-switch"—influencing data engineers with technical depth and business leaders with ROI-driven narratives.
• Curiosity & Influence: A passion for solving business problems through data and a relentless drive to learn and share new technologies.

#LI-REMOTE

#LI-LA1