About the role

We are seeking an experienced Senior Business Systems Analyst to join our Finance Systems team at Anthropic. In this role, based on our recent go live on Workday Financials, you will serve as the internal functional lead for our Workday Financials,, owning the design and configuration of the Financial Data Model (FDM), Chart of Accounts, and dimensional structures that will serve as the source of truth for financial reporting. You will develop Prism Analytics and Accounting Center solutions, gather requirements and build reporting capabilities, and collaborate closely with cross-functional teams to drive the successful adoption of the Workday  platform.

This is a critical role that will directly shape how Anthropic's finance organization operates as we scale toward public company readiness. You will work at the intersection of finance domain expertise and technical implementation, partnering with the implementation partner, engineering teams, and finance stakeholders to build a world-class financial systems foundation.

In this role, you will

• ERP Core Financials: Serve as internal functional lead for Workday Financials, partnering with partners to drive configuration decisions, validate designs, and ensure business requirements are met. Partner with consultants for Phase X / net new implementations.
• Financial Data Model (FDM) Design: Own the design and configuration of Chart of Accounts, Worktags, dimensional hierarchies, and Accounting Books that will serve as the source of truth for all financial reporting, ensuring support for both GAAP and Management reporting requirements
• Prism Analytics Development: Develop and maintain Prism/Accounting Center solutions from source analysis and ingestion design through build and testing,, including integration with external data sources like BigQuery and Pigment
• Requirements Gathering & Reporting: Gather business requirements from Finance, Accounting, and FP&A stakeholders, translating them into hands-on development of executive reporting, dashboards, and analytics solutions
• Workshop Participation & Solution Design: Participate in implementation workshops, challenge requirements, and translate business needs into buildable designs and testable acceptance criteria; manage defects and data quality issues throughout the project lifecycle for all implementations impacting Workday Record to Report (R2R)
• Cross-Functional Collaboration: Collaborate with Integrations, Security, and Financials configuration teams to align master data, journals, controls, and performance service level agreements; partner with Data Infrastructure and BizTech teams on system integrations
• Platform Expansion & Adoption: Work closely with engineering teams and business stakeholders to drive ongoing expansion and adoption of the Workday platform (e.g. bi-annual releases), identifying opportunities for process improvement and automation.

You may be a good fit if you

• Have 8+ years of experience in finance systems, ERP implementation, or business systems analysis roles, with at least 5 years of hands-on Workday Financials experience
• Possess deep expertise in Workday Financial Data Model (FDM), including Chart of Accounts design, Worktags configuration, dimensional hierarchies, and Accounting Books setup
• Have strong experience with Workday Prism Analytics, including data modeling, source integration, calculated fields, and report development
• Are skilled at translating complex business requirements into technical solutions, bridging the gap between finance stakeholders and technical implementation teams
• Have experience with full ERP implementation lifecycles, including requirements gathering, configuration, testing, data migration, cutover planning, and hypercare
• Possess strong understanding of financial accounting processes including General Ledger, multi-entity consolidation, intercompany accounting, and management reporting
• Have excellent stakeholder management and communication skills, with ability to work effectively with finance leadership, accounting teams, and technical partners
• Demonstrate strong analytical and problem-solving skills with attention to detail and commitment to data accuracy and integrity
• Are comfortable working in fast-paced, high-growth environments with evolving requirements and tight timelines

Strong candidates may also have

• Background in accounting, finance, or CPA certification with understanding of GAAP/IFRS reporting requirements
• Experience with Workday Accounting Center for complex journal automation and subledger accounting
• Technical proficiency with SQL, Python, or scripting languages for data analysis and integration support
• Experience integrating Workday with external data platforms such as BigQuery or cloud data warehouses
• Knowledge of SOX compliance requirements and internal controls for financial systems
• Experience with EPM/FP&A systems such as Pigment, Anaplan, or Adaptive Planning and their integration with ERP
• Prior experience at high-growth technology companies scaling toward IPO readiness
• Familiarity with Workday HCM and understanding of HCM-Financials integration points
• Experience with data migration tools, ETL processes, and reconciliation frameworks for ERP implementations

About ROLLER

ROLLER is not your average software-as-a-service company. With a global presence in over 30 countries, we're here to bring some excitement to the leisure and attractions industry and make a difference! Our mission is to help businesses operate smoothly and create fun and memorable guest experiences by providing seamless ticketing, point-of-sale, self-serve kiosks, memberships and digital waiver processes.

But here's the best part: our team. We're a group of 300+ highly passionate, enthusiastic, and down-to-earth professionals located all around the world who are all working together to build something truly remarkable. We're aiming high and believe that the possibilities are endless. As we continue to grow globally, we're excited to write our success story and have fun along the way.

We genuinely love what we do, and we're looking for like-minded people to join us on this amazing journey. If you're ready to be part of a dynamic team and make a real impact, come aboard, and let's create some unforgettable experiences together at ROLLER!

About the Role

We are seeking a highly technical, hands-on Senior Data Engineer to architect and scale our data infrastructure from the ground up. As a core member of the data function within our Business Technology team, you will be responsible for building the pipelines and models that power smarter decision-making and operational efficiency across the entire organization.

In this foundational role, you will build & architect the modern data stack, ensuring our infrastructure is robust, automated, and governed. You collaborate as a technical partner with GTM ,Product, Finance, P&C to build high-performance data models and pipelines that transform raw data into actionable cross-functional insights.

Joining ROLLER at this pivotal growth stage, you will have the opportunity to make an outsized impact on our technical landscape, directly influencing how we process data to deliver world-class experiences for our customers globally.

What You'll Do

• Scalable Architecture: Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability.
• Cloud Ecosystem: Develop and manage end-to-end data pipelines using Google Cloud Platform services, specifically leveraging Cloud Run, Cloud Function for compute, BigQuery for storage, and Cloud Composer (Airflow) for orchestration.
• Transformation Excellence: Build, maintain, and document complex data transformation layers using DBT (Data Build Tool) to ensure high data quality and reliability.
• Infrastructure as Code: Automate the provisioning of cloud resources using Terraform and streamline deployment workflows via GitHub Actions CI/CD pipelines.
• Cloud Data Warehousing: Demonstrate expert-level proficiency in managing and optimizing Cloud Data Warehouses, such as Snowflake & BigQuery.
• Team Collaboration: Partner with cross-functional stakeholders to build and scale high-performing data infrastructure that supports engineering, analytics, and Data Program needs.
• Stack Management: Architect and maintain a modern data stack by implementing best-in-class tools including Snowflake, Bigquery, dbt, Fivetran, Looker, Tableau and Airflow.
• Pipeline Engineering: Develop scalable ETL/ELT workflows and robust data models to deliver real-time analytics and unified business reporting.
• Data Visualization: Create and maintain intuitive, high-performance Looker dashboards will be an added advantage.

About You

You are a technical builder who views data as a competitive advantage. You thrive in fast-paced environments and have a proven track record of engineering scalable data foundations from the ground up. Equal parts architect and analytical problem-solver, you excel at balancing long-term technical vision with the daily hands-on execution of complex pipelines.

You are energized by the full lifecycle of data—moving beyond just writing code to actively leading project discovery and analysis alongside cross-functional partners. You take pride in enabling GTM, Product, Finance & P&C teams through clear insights and high-performance systems. Most importantly, you are excited to act as a founding technical force for a high-growth SaaS company that is transforming the guest experience for attractions businesses globally.

• 5+ years of experience in Data & Analytics or Data Engineering with a focus on Scalable cloud driven data pipeline build

• Proven experience in dimensional modeling (Star/Snowflake schema) and designing architectures that support both historical reporting and real-time needs.
• Expert-level proficiency in Snowflake or BigQuery, including performance tuning, cost optimization, and access control (RBAC).
• Hands-on experience with Google Cloud Platform services, specifically Cloud Function, Cloud Run for containerized workloads and Cloud Composer for orchestration.

• Through hands-on experience of dbt (Data Build Tool) to manage transformations, including writing custom macros, implementing tests, and generating documentation.
• Solid experience using Terraform to provision cloud resources, ensuring that infrastructure is version-controlled and reproducible.
• Proficiency in GitHub Actions to automate testing and deployment pipelines for data models and infrastructure.
• Ability to design high-performance dashboards that prioritize user experience and fast load times.

• Experience collaborating with Finance, GTM, and Product to define key metrics (like CAC, LTV, or Churn) and codifying them into the data layer.
• Familiarity with data ingestion tools like Fivetran , Airbyte, Workato, Mulesoft to sync data from various SaaS platforms into the warehouse.

• Operates as a full-stack Data Engineer with the technical authority to architect and build entire data lifecycles, from raw source ingestion to high-impact data visualization.
• Familiarity with business-critical systems like Salesforce, Chargbee, Gainsight, and product analytics tools.
• Strong communicator with a track record of working across technical and non-technical teams to drive alignment.
• You have a high appetite for Technology and AI and a natural curiosity for how it can transform your work. You’re comfortable using AI tools to automate repetitive 'busy work,' freeing you up to focus on high-impact work.

We believe AI is a career-defining inflection point. ROLLER is a fast adopter of new technology like AI, and every team member is empowered to own their learning and use the latest tools to supercharge their impact. We’re looking for candidates with the proficiency and curiosity to embrace AI and technology — not just as a technical skill, but as a core competency to help us achieve big goals

Preferred Qualifications

• Experience partnering with IT or Business Technology teams to drive cross-functional outcomes.
• Exposure to customer success and revenue workflows, such as onboarding journeys, renewal metrics, or support analytics.
• Familiarity with AI/ML pipelines and experimentation frameworks that support data-driven innovation.

Perks!

• You'll get to work on a category-leading product that customers love in a fun, high-growth industry! Check our Capterra and G2 reviews.
• ROLLER Recharge days to celebrate and recharge once we've hit our goals
• Engage in our 'Vibe Tribe' - led by our team members; you can contribute to company-wide initiatives directly. Regular events and social activities, fundraising & cause-related campaigns...you name it. We're willing to make it happen!
• Team Member Assistance Program to proactively support our team's health and wellbeing - access to coaching, education modules, weekly webinars, and more.
• 16 weeks paid Parental Leave for primary carers and 4 weeks paid Parental Leave for secondary carers.
• Work with a driven, fun, and switched-on team that likes to raise the bar in all we do!
• Individual learning & development budget plus genuine career growth opportunities as we continue to expand!

What You Can Expect

1. Initial call with our Talent Acquisition Manager
   You'll have an initial call with our Talent Acquisition Manager to chat through some of your experience to date, salary expectations and you can check off any initial questions you might have.
2. Interview with the Hiring Manager
   You'll get to meet with the hiring manager to learn more about the role & ROLLER whilst also talking through your experience in more detail.
3. Loop Interviews
   This is where you will get to meet our wider ROLLER team to do a 'vibe check' on us to make sure our culture & vibe meet what you are looking for!
4. Offer
   If all lights are green and the fit feel right, we'll conduct reference checks and you'll receive an offer to join!

Discord is looking for an experienced and passionate Senior Data Engineer, Analytics to join our data team! You will be owning the transformation and semantic layer that turns data into clean, tested, well-documented tables and dashboards that data scientists, product managers, and business stakeholders can trust and self-serve from. You'll define and operationalize the metrics that inform how we identify opportunities, measure success, and make decisions. If this sounds exciting to you and you’re passionate about data modeling, metric design, and empowering teams to move faster with reliable data, read on!

We're hiring for multiple verticals on our Data Engineering team, including Engagement and Performance.

What you will be doing:

• Design, build, and maintain curated analytical datasets and data models that serve as canonical sources for metrics, dashboards, and analyses
• Own metric definitions end to end, from partnering with data science and product team to define what we should measure, to implementing it in production, to surfacing it in visualization tools
• Build and maintain executive-level dashboards and self-serve reporting tools that enable business stakeholders to answer their own questions
• Partner closely with data science, product manager, and engineering teams to translate business questions into well modeled, performant, and discoverable data assets
• Establish and enforce data quality standards through testing frameworks, documentation, and monitoring for the datasets you own
• Drive adoption of consistent data modeling patterns, naming conventions, and documentation norms across the data organization

What you should have

• 4+ years of experience in analytics or data engineering with a strong focus on building curated, consumer-facing datasets
• 4+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources
• 4+ years of experience writing accurate and effective code in SQL
• Experience with designing data model to power a variety of use cases, including experimentation
• Fluency in Python or another programming language, with solid fundamentals in version control and CI/CD practices
• Experience building and owning executive-level dashboards and reports using BI tools (e.g., Looker, Tableau, or similar)
• Strong business acumen, you will partner with data scientists and product managers to translate ambiguous business questions into concrete metric definitions and data models
• Excellent communication, comfortable being the connective tissue between technical and business teams
• Last but not least, desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord

Bonus Points:

• Passion for Discord or online communities
• Experience building or contributing to a semantic layer or metrics store
• Experience with modern analytics and data engineering tools and workflows (dbt, BigQuery, or similar)
• Experience defining and governing metric standards across a data organization
• Experience working on analytics for core features (i.e. messaging, video/voice call etc) in communication app.
• Experience working on analytics for performance and reliability of communication app
• Background in analytics for core communication features (messaging, video/voice) or platform reliability and performance.

The US base salary range for this full-time position is $196,000 to $220,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

As a member of the Data Science & Analytics team, you will help Discord achieve its mission of making it easier and more fun for people to talk and hang out before, during, and after playing games. Senior Data Scientists for Analytics leverage their deep analytical skills and product intuition to solve a wide array of complex problems - from strategic analysis to dashboard creation and experimentation design and analysis. We are currently hiring across a variety of data science verticals and teams. If you’re passionate about data, impact, and working on an amazing team, read on!

What you'll be doing

• Partner with teams throughout Discord through the full lifecycle of data science analytics from ideation and exploratory analysis, to building dashboards and reports, and A/B testing
• Define KPIs and metrics that help improve the user experience, encapsulating these measures in clean crisp dashboards that provide the company with timely and actionable information
• Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes
• Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve
• Be a champion of A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly
• Collaborate with data and engineering teams to design scalable and future-proof instrumentation

What you should have

• 4+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics
• 4+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations
• 4+ years experience writing excellent SQL
• Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways
• 4+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment
• A desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord
• Last but not least - a collaborative attitude and a healthy dose of natural curiosity!

Bonus Points

• Passion for Discord or online communities
• Experience with technical leadership, being the point person for one or more stakeholder groups
• Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as social graphs, LTV analysis, funnel analysis, etc.
• Experience in the user engagement and growth problems
• Experience writing performant code in BigQuery SQL
• Experience with writing production ETL

Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available.

The US base salary range for this full-time position is $196,000 to $220,500 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

As a member of the Data Science & Analytics team, you will help Discord achieve its mission of making it easier and more fun for people to talk and hang out before, during, and after playing games. Data Scientists for Analytics leverage their deep analytical skills and product intuition to solve a wide array of complex problems - from strategic analysis to dashboard creation and experimentation design and analysis. We are currently hiring across a variety of data science verticals and teams including revenue and performance. If you’re passionate about data, impact, and working on an amazing team, read on!

What you'll be doing

• Partner with teams throughout Discord through the full lifecycle of data science analytics from ideation and exploratory analysis, to building dashboards and reports, and A/B testing
• Define KPIs and metrics that help improve the user experience, encapsulating these measures in clean crisp dashboards that provide the company with timely and actionable information
• Use our amazing infrastructure to quickly and easily build custom data sets to monitor novel product features and processes
• Proactively socialize insights, dashboards, and reports with technical and non-technical audiences, soliciting feedback on where to improve
• Be a champion of A/B testing and help groups throughout the company design, analyze, and interpret A/B tests correctly
• Collaborate with data and engineering teams to design scalable and future-proof instrumentation

What you should have

• 3+ years of experience autonomously translating ambiguous business problems into deep informative insights through hands-on analytics
• 3+ years of experience building performant dashboards using Tableau, Looker, or similar software - with proficiency in designing clean crisp visualizations
• 2+ years experience writing excellent SQL
• Excellent communication skills, with the ability to translate complicated findings or technical approaches in easy-to-understand ways
• 2+ years of experience in the design, analysis, and interpretation of A/B tests in a large data environment
• A desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord
• Last but not least - a collaborative attitude and a healthy dose of natural curiosity!

Bonus Points

• Passion for Discord or online communities
• Experience with analytics for social media or international subscription-based online services, including familiarity with concepts such as social graphs, LTV analysis, funnel analysis, etc.
• Experience in the user engagement and growth problems
• Experience writing performant code in BigQuery SQL
• Experience with writing production ETL
• Experience leveraging AI for data science

The US base salary range for this full-time position is $160,000 to $180,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

At the heart of Discord's communities is Safety. The Safety team at Discord ensures users find belonging by minimizing exposure to spam and other forms of platform abuse. We are excited to find others passionate about making sure Discord is a safe and welcoming place for our users and hope you can join us on this mission.

As the Embedded Data Specialist, you will be a trusted locus of data knowledge by stakeholders, capable of fielding requests from diverse groups of stakeholders. You balance emergent requests with creating more longterm tooling, and are conscious of the maintenance investments of the tools you build, with coaching. You expect QA of your code, but very rarely would corrections be approach-based, rather than accidents of function. 

What you'll be doing

• Analyzing data to uncover patterns, insights, and trends, as well as answering complex legal and comms based Safety questions for external communication
• Leveraging analysis to design operational response solutions in the Safety landscape
• Writing retros of Safety incidents with a focus on guardrail solutions and clear runbooks
• Iterating, improving, and socializing reporting to the needs of an emergent safety landscape across teams and efforts with a focus on stable or self-help solutions
• Delivering long-term project work in the Safety operations landscape with some oversight
• Documenting — in detail — your work, its impact, and the guardrails present in your design
• Assisting in developing scalable, clean data infrastructure
• Partnering with teams across Safety to increase the impact of your work 

What you should have

• Fluent SQL, BigQuery dialect preferred
• Experience updating data architecture in version control systems such as Git
• Data Reporting experience, with an understanding of new feature design and guardrails
• Statistical analysis training
• Can determine path for code/data review with limited direction
• Maintain high levels of confidentiality and accuracy while performing legal requests
• Beyond just fielding requests, able to discuss data availability and limitations to help craft a request with a stakeholder
• Excellent written communication and documentation skills
• Ability to foster relationships and communicate complex concepts to stakeholders
• Ability to prioritize tasks and work independently, but oversight and coaching is expected
• Familiarity with Claude Code and leveraging AI tools to expand impact

Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available. 

The US base salary range for this full-time position is $160,000 to $180,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Discord is looking for an experienced and passionate Data Engineer, Analytics to join our data team! You will be owning the transformation and semantic layer that turns data into clean, tested, well-documented tables and dashboards that data scientists, product managers, and business stakeholders can trust and self-serve from. You'll define and operationalize the metrics that inform how we identify opportunities, measure success, and make decisions. If this sounds exciting to you and you’re passionate about data modeling, metric design, and empowering teams to move faster with reliable data, read on!

We're hiring for multiple verticals on our Data Engineering team, including Growth and Safety.

What you will be doing:

• Design, build, and maintain curated analytical datasets and data models that serve as the canonical sources for metrics, dashboards, and analyses.
• Partner closely with data science, product managers, and engineering teams to translate business questions into well-modeled, performant, and discoverable data assets.
• Execute metric workflows, from metric definition and logging schema design to data modeling and visualization, with guidance from manager and senior team members.
• Build and maintain executive-level dashboards and self-serve reporting tools that enable business stakeholders to answer their own questions.

What you should have

• 2+ years of experience in analytics or data engineering with a strong focus on building curated, consumer-facing datasets
• 2+ years of experience in designing, developing, and maintaining robust data models from structured and unstructured sources to power a variety of use cases, including experimentation
• 2+ years of experience writing accurate and effective SQL
• Fluency in Python or another programming language
• Experience building and owning executive-level dashboards and reports using BI tools (e.g., Looker, Tableau, or similar)
• Strong business acumen, you will partner with data scientists and product managers to translate ambiguous questions into concrete metric definitions and data models
• Excellent communication, comfortable being the connective tissue between technical and business teams
• Last but not least, desire to work with amazing, passionate people who care deeply about solving challenging problems to improve Discord

Bonus Points:

• Passion for Discord or online communities
• Experience building or contributing to a semantic layer or metrics store
• Experience with modern analytics and data engineering tools (dbt, BigQuery etc)
• Experience implementing and monitoring audits for data quality with massive data sets (e.g. billions of rows)
• Experience working on SEO, GEO, or other top of funnel growth focused features.
• Experience collaborating with compliance, legal, or litigation cross-functional teams.

The US base salary range for this full-time position is $160,000 to $180,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers.

We're looking for a Senior Data Engineer who can take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You’ll partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.

Preferred Qualifications

• 8-10+ years of industry experience in data engineering building scalable data pipelines and data products
• Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
• Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience for reliable, testable, and maintainable data transformations.
• Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams.
• Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks.
• Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems
• Familiarity with monitoring, alerting, and incident response for production-grade data pipelines
• Proven ability to optimize performance and cost across data workflows and storage systems
• Functional understanding of how to leverage AI and automation in data engineering — building self-service tools, intelligent pipelines, and agents that automate repetitive tasks
• Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams.
• Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership

Compensation Details

Our cash compensation amount for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above.

About the role

As a Compute Accounting Manager at Anthropic, you will own the end-to-end accounting for our compute expenses, ensuring accurate financial reporting and robust controls as we scale. You'll be responsible for the complete lifecycle of compute accounting—from contract review and compliance through accruals, prepaids, accounts payable reconciliation, expense classification, and commitment tracking. This role requires deep expertise in accounting for compute usage, strong data and analytical capabilities, and the ability to build scalable processes in a high-growth environment. You'll partner directly with the relevant Engineering, Legal, and Procurement teams to ensure our CSP contracts are properly reflected in our financial records and that we're capturing costs accurately and in compliance with our agreements. As Anthropic continues to grow rapidly, you'll play a critical role in establishing the financial controls and processes that enable us to manage significant compute spend with precision and confidence.

Responsibilities:

• • Own the complete accounting lifecycle for compute expenses, ensuring accurate and timely recording of all costs
  • Review and interpret CSP contracts to ensure proper accounting treatment and compliance with contractual terms
  • Design and implement accrual and prepayment processes that accurately reflect the timing and nature of our compute costs
  • Track and reconcile commitment-based agreements, ensuring proper recognition and disclosure of our obligations
  • Lead accounts payable reconciliation efforts, working with vendors to resolve discrepancies and ensure statement accuracy
  • Partner with Procurement and Legal teams on contract reviews, providing accounting perspective on financial terms and implications
  • Build scalable processes and controls that can grow with the organization while maintaining accuracy and efficiency
  • Develop automated reporting and monitoring systems to provide visibility into CSP spending patterns and trends
  • Collaborate with FP&A to support forecasting and budgeting efforts related to compute costs
  • Serve as the subject matter expert on CSP accounting matters, providing guidance to cross-functional teams

You may be a good fit if you:

• • Have 10+ years of progressive accounting experience, with significant exposure to accounting for compute and review of associated contracts
  • Are a CPA (or equivalent) with a deep understanding of GAAP and strong technical accounting skills
  • Have experience working with compute cost structures and understand the unique challenges of accounting for consumption-based services
  • Possess strong analytical and problem-solving skills, with the ability to dive deep into data to identify issues and opportunities
  • Have proven experience building accounting processes and controls in high-growth environments
  • Are proficient with modern ERP systems (NetSuite, Workday, Oracle, or similar)
  • Can translate complex contractual terms into proper accounting treatment
  • Excel at cross-functional partnership and can effectively communicate accounting concepts to non-finance stakeholders
  • Thrive in fast-paced environments where priorities can shift quickly
  • Have a bias toward automation and process improvement

Strong candidates may also:

• • SQL and BigQuery proficiency, enabling direct data analysis and validation
  • Python skills for building automation and analytical tools
  • Experience in consumption-based or usage-based business models
  • Background combining Big 4 accounting experience with industry roles at technology companies
  • Track record of implementing automated reconciliation and reporting solutions
  • Experience supporting rapid growth and scaling initiatives
  • Familiarity with commitment-based purchasing agreements and their accounting implications

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

What You’ll Do:

The Data Services Team builds and operates the data platform that powers CoreWeave's AI cloud, from transactional and analytical storage to streaming, metadata, and governance. We give our customers and CoreWeave engineers the primitives they need to ingest, store, process, and serve data at the scale and performance that next-generation AI workloads demand.

If you want to define how data flows across a rapidly scaling AI cloud, and turn that strategy into infrastructure others depend on, this is your team.

About the role:

As a Staff Product Manager for Data Services, you'll own the end-to-end strategy, roadmap, and execution for CoreWeave's data services portfolio: databases, data lakes, streaming, metadata and catalog, and data sharing and integration.

You'll shape a multi-year vision for how our data services underpin AI and GPU workloads, then lead delivery from 0 to 1 and 1 toN. That means working directly with strategic customers and partners, collaborating closely with engineering and GTM, evaluating emerging data technologies, and ensuring our services are secure, reliable, and easy to adopt.

The hardest problems you'll tackle are around scale, throughput, and performance for GPU-intensive applications, and you'll have real influence over the architecture to solve them.

In this role, you will own:

• Product strategy and roadmap across the data services portfolio, balancing near-term delivery with long-term bets
• Customer and partner engagement - diving deep into data architectures, co-designing solutions, and supporting large-scale deployments
• Cross-functional alignment with engineering, GTM, and leadership to drive clarity and execution in a fast-moving environment
• Market and competitive analysis to surface opportunities, validate priorities, and keep us ahead of the curve
• API-first platform thinking - partnering with architects on service designs, SLAs, and operational excellence

Who You Are: 

• 8+ years of product management experience in data platforms, databases, analytics, or cloud infrastructure, with at least 3-4 years focused on data services (managed databases, streaming, data warehouses, data lakes, or governance platforms)
• Technical fluency in:
• Relational and/or distributed databases (e.g., PostgreSQL, MySQL, SingleStore, Snowflake, BigQuery)
• Streaming and pipelines (e.g., Kafka, CDC, ETL/ELT, lakehouse architectures, real-time data sharing)
• Data security and governance (encryption, IAM/RBAC, data masking, network isolation, compliance)
• A track record of owning complex, API-first platform products from concept through multiple release cycles
• Strong communication skills - able to create clarity from ambiguity, influence without authority, and translate technical depth for any audience
• Comfort operating in a fast-paced, high-growth environment where the answer isn't always obvious

Preferred:

• Staff or Director-level PM experience at a database vendor, cloud provider, or high-growth infrastructure company
• Hands-on experience with managed data services on AWS, Azure, or GCP (e.g., RDS, Aurora, Cosmos DB, BigQuery)
• Background in hybrid or multi-cloud architectures: connectivity, data locality, replication
• Experience with AI/ML data products: feature stores, vector search, real-time analytics, or serving pipelines for LLM workloads
• Familiarity with SaaS/PaaS packaging and usage-based or tiered pricing models
• Prior engineering or architecture experience on data or distributed systems

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. 

• Love building platforms that other teams and customers treat as critical infrastructure
• Are curious about new databases, analytics, and AI data patterns, and are good at separating real value from hype
• Can drive clarity in highly technical, ambiguous problem spaces and rally cross-functional teams around a plan
• Enjoy going deep with customers on their data architectures and co-designing solutions
• Balance long-term vision with fast iteration, and you don't need perfect information to move forward

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!  We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: 

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! 

The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

We are looking for a Staff Security Software Engineer who is passionate about detecting and mitigating abuse in the Cloud. 

As a Staff Security Software Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience developing and maintaining software systems in a complex, high-scale environment, analyzing outcomes and communicating insights to stakeholders, and rapidly devising solutions that are in alignment with overall business goals. Our team is focused on enabling DigitalOcean to scale safely by building systems that detect and prevent abuse on our platform. We highly value collaboration and growth, and work closely with other teams in the Security organization to deliver high quality solutions and also build tooling to boost their efficiency.

Our customers trust us with their data and operations, and we take that responsibility seriously. Security at DO means solving highly complex problems on a large scale that have real impact for our customers, our products, and for the larger internet community.

What You’ll Do:

• Design, develop, and deploy resilient services and tooling that provide security capabilities at scale, primarily in Go, with some work in Javascript and Python.
• Research and design automated approaches to detecting and actioning abuse and misuse of DigitalOcean products and services.
• Work with product and engineering teams to design and implement secure architectures.
• Design and build internal tools that enable our Security Operations Center to do more, faster.
• Measure the efficacy of our services and tools, using logs, metrics, and audit records, to drive reporting and decision-making, leading to iterative and transformative security improvements as DigitalOcean scales. All while being mindful that security should be an efficiency enabler for the business, not an obstacle.

What You’ll Add to DigitalOcean:

• 8+ years of hands-on experience in software engineering projects, ideally with a security focus, in a complex, high-scale SaaS or IaaS environment. You are an expert in writing robust code with good test coverage and demonstrated success in delivering projects.
• Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
• Deep familiarity with cloud services & infrastructure—compute, storage, network, managed services—and related abuse tactics, including DDoS, spamming, phishing, cryptomining, and bot networks.
• Strong analytical and reporting skills, with proficiency in SQL and data warehouse querying (e.g., Snowflake, Redshift, BigQuery)
• A customer-first mindset—you aim to maximize abuse prevention while avoiding false-positives that could impact high-value customers.
• Excellent communication and documentation skills; you can clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders. You have a record of partnering with internal engineering teams and non-technical stakeholders to gather requirements and tackle security problems across an entire stack with empathy and creativity.
• High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.

Bonus qualifications:

• Experience with microservice architectures, asynchronous and event-driven processing, and synchronous gRPC/HTTP-based requests.
• Experience in building secure by default services and applications.
• Familiarity with technologies such as gRPC, Docker, Elasticsearch, Prometheus/VictoriaMetrics, Kubernetes, and GitHub Actions.
• Experience with Looker, Snowflake, dbt, and Airflow

Compensation Range: 

• $199,680 - $249,600

*This is a remote role

#LI-Remote

Who We Are:

Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico's highly innovative technology labs, its commitment to curiosity-driven discovery science and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.

Position Description:

Calico seeks a Senior Machine Learning Research Engineer to join the team building the computational engine that closes the design-test-learn cycle in molecular design and scales the ML infrastructure across the company.

Working closely with a biology-fluent group of researchers and engineers, you will build ML platforms to accelerate their research, translate advanced ML methods into scalable code, and iteratively refine these tools as they apply them to real-world drug discovery problems.

If you are passionate about building high-impact ML systems, thrive in ambiguity, and are excited to move fluidly between optimizing data pipelines and deploying generative models, this is the role for you.

Please note: No biology or life sciences background is required for this role.

Key Responsibilities:

You will own the end-to-end flow from data ingestion to model deployment. Because of the flexible nature of this role, your responsibilities will adapt to the team's most pressing needs, shifting between two core areas:

ML Platform

• Build and scale core components of our ML Data, Eval, and Serving platforms, including APIs, libraries, and datastores
• Optimize the training and serving stack to maximize accelerator utilization at scale
• Automate end-to-end ML workflows between computational models and the wet lab, ensuring full reproducibility and lineage tracking

Generative Modeling & Search

• Optimize and scale our molecular search methods
• Identify opportunities to accelerate model research workflows and ship tools quickly
• Prototype new modeling ideas with researchers and deploy them into the drug discovery pipeline

Position Requirements:

• A strong intellectual curiosity for life sciences
• 5+ years of relevant ML software engineering experience in industry or academia
• Strong software engineering skills, particularly building model training, serving, or evaluation platforms
• Deep expertise in Python and JAX or PyTorch
• Must be willing to work onsite at least four days a week

Nice to Have:

• Large-scale data processing experience (e.g., Ray, Spark, BigQuery) and high-throughput data loading
• Familiarity with common biological datasets and formats (e.g., BAM, TIFF, Zarr, AnnData)
• Hands-on experience with advanced ML architectures (e.g., transformers, diffusion networks), search and optimization methods (e.g., active learning, Bayesian optimization, RL), or large-scale biomolecular models (e.g., AlphaFold)
• Advanced degree in computer science or a relevant field
• Contributions to open-source ML projects or relevant academic publications

The estimated base salary range for this role is $209,000 - $233,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses.

Who We Are:

Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico’s highly innovative technology labs, its commitment to curiosity-driven discovery science, and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs.

Position Description:

Calico is seeking a Senior Data Engineer to join our highly collaborative Engineering team as the founding member of the Drug Discovery Data Engineering group. To succeed, you will need to be an enthusiastic team player, detail-oriented, extremely organized, and comfortable working on complex data, software, and scientific problems.

In this position, you will act as a technical bridge between our Medicinal Chemistry, Automation, Machine Learning, Assay Technology, and Protein Sciences groups. You will drive projects from requirements-gathering to production deployment, engineering high-performance data systems that integrate with our molecular databases (CDD Vault), inventory systems (Mosaic), electronic lab notebooks (Benchling), our internal data warehouse (BigQuery), and our internally developed AI platform. As the first hire on this team, you will play a pivotal role in defining data flows, building web applications for stakeholder review, and establishing the engineering culture for this important growth area.

Position Responsibilities:

• End-to-End Project Ownership: Collaborating with scientists in Assay Technology, Medicinal Chemistry, and Protein Sciences to gather requirements, architect solutions, and deploy production-grade software that facilitates data movement and analysis
• System Integration: Designing and implementing robust integrations between internal pipelines and third-party platforms, specifically the CDD molecular database, Mosaic inventory systems, and Benchling ELN
• Data Flow Architecture: Defining and optimizing data flows across the organization (e.g., ensuring seamless data handover from Machine Learning -> Protein Sciences -> Assay Technologies) to accelerate the drug discovery feedback loop
• Full-Stack Tool Development: Developing data systems and internal web applications (using React and Python) that allow stakeholders to review, visualize, and communicate complex scientific data
• Mentorship & Leadership: Serving as a senior technical voice within a larger Engineering team; providing mentorship to junior engineers across Calico and helping onboard future hires into the Drug Discovery Data Engineering team
• Engineering Excellence: Championing best practices for infrastructure-as-code, CI/CD, and containerization while helping to set standards for data engineering at Calico

Position Requirements:

• BS/MS/PhD in Computer Science, Data Science, or a related technical field, or equivalent practical experience
• 5+ years of professional software or data engineering experience on the small molecule and antibody informatics side of pharmaceutical R&D
• Proficiency in applying laboratory informatics systems such as CDD Vault, Titian Mosaic, and Benchling to the drug discovery process
• Fluency in Python with a strong grasp of software and data engineering principles (testing, modularity, design patterns, data modeling)
• Demonstrated experience developing and deploying cloud-based applications on Google Cloud Platform (GCP) (preferred), AWS, or Azure
• Strong experience with modern web frameworks and infrastructure, specifically FastAPI, React, Kubernetes, and Terraform
• Proven ability to lead complex projects involving diverse stakeholders (e.g. both bench scientists and Machine Learning engineers) from concept to production
• Experience enforcing robust data governance policies and compliance with internal information security standards and best practices
• Must be willing to work onsite at least four days per week

Nice to Have:

• Experience working with large-scale biological or chemical datasets, including chemical and biological ontologies
• Prior experience managing external partnerships and vendors in the informatics space
• Experience with system administration of informatics platforms, including setting information security standards and negotiation of software contracts

The estimated base salary range for this role is $217,000 - $229,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses.

fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products.

As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on.

About this role

We are looking for a Software Engineer to help build the next generation of usage-based billing systems at fal. This role is ideal for someone passionate about designing scalable event-driven systems that integrate tightly with Stripe and Orb, power real-time usage tracking, and deliver accurate, flexible billing experiences for customers.

You will work cross-functionally with Product, Finance, and Infrastructure teams to ensure our billing system is robust, accurate, and capable of supporting new pricing models as our product grows.

What You'll Do

• Design and build event-driven billing systems that process real-time usage data.
• Integrate with Orb for usage metering and Stripe for payments and invoicing.
• Build Python-based microservices running on Kubernetes to handle billing workflows.
• Develop data storage and processing flows for downstream analysis in BigQuery.
• Collaborate with product engineers to build Next.js dashboards and admin tools for billing insights and reconciliation.
• Ensure billing systems are accurate, auditable, and scalable to support new product launches and pricing models.
• Partner with Finance to automate reporting, reconciliation, and revenue analytics.

What We're Looking For

• Experience with usage-based billing systems or event-driven architectures.
• Strong Python skills for backend microservices.
• Familiarity with Stripe (payments, invoicing) and Orb (usage metering) APIs.
• Experience with Postgres for transactional data and BigQuery for analytics.
• Experience with Kubernetes and containerized deployments.
• Ability to build admin interfaces or customer dashboards using Next.js.
• Comfort working with event-driven data pipelines (e.g., Kafka, Pub/Sub, or similar).
• Strong cross-functional collaboration skills with Finance, Product, and Data teams.

Nice to Have

• Experience with FinTech, SaaS, or cloud usage billing at scale.
• Familiarity with cloud providers (AWS, GCP) and their billing models.
• Knowledge of pricing experimentation or monetization platforms.

Compensation

• $160,000 - $200,000 + equity + comprehensive benefits package

Location

• We are currently hiring in downtown San Francisco.

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.

Mercury is redefining *banking for ambitious companies and behind every great financial platform is a data system that people can actually trust.

As Mercury scales, our revenue systems generate an enormous amount of information: signals from remote and in-person meetings, automation tools, product usage, lifecycle events, and analytics pipelines. Turning that activity into clear, reliable intelligence — without brittle pipelines or constant rework — is critical to how we grow.

We’re looking for a Data Strategy & Operations leader to own the data foundations that power revenue execution. This role ensures that revenue data is reliable, interpretable, scalable, and usable as the business evolves and that teams can act on what they see with confidence.

In this role, you will report to the Head of Platforms & Infrastructure and play a central role in shaping how Mercury models, governs, and operationalizes GTM data. You’ll partner closely with Data Engineering, Data Science, Solution Architecture, Platform Engineering. etc.

*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

Here are some things you’ll do on the job:

• Own the definition, structure, and reliability of data originating from revenue platforms (e.g., Salesforce, GTM tools, automation systems)
• Serve as the primary decision owner for GTM-sourced tables and views used for revenue execution, forecasting inputs, lifecycle tracking, and signal-based workflows
• Design and evolve core GTM data models across Salesforce, ETL, and analytics layers
• Partner with Data Engineering to align GTM schemas with enterprise data models and define clear data contracts between source systems and downstream consumers
• Partner with Data Science / Analytics to ensure revenue data is interpretable, statistically sound, and reflects how the business actually operates
• Own clarity around data ownership boundaries, shared dependencies, and escalation paths when upstream or downstream changes impact revenue integrity
• Define and uphold data quality, freshness, consistency, and documentation standards for revenue platforms
• Monitor and improve pipeline reliability, performance, and scalability, proactively identifying fragile or redundant transformations
• Identify opportunities to automate manual or error-prone data workflows and reduce operational overhead
• Act as a data thought partner to Platforms & Infrastructure, Revenue Operations, Analytics, and Security — advising on feasibility, tradeoffs, and sequencing for data-heavy initiatives

You Should:

• Have 7+ years of experience in data engineering or data systems roles within SaaS or technology companies
• Have deep experience designing and operating production data pipelines
• Be highly proficient in SQL and experienced in data modeling
• Have hands-on experience with modern data stacks (e.g., Snowflake, BigQuery, Redshift)
• Have experience with ETL / ELT tooling (e.g., dbt, Airflow, Census, or similar)
• Understand Salesforce data models and common GTM system architectures
• Be able to translate business concepts into durable, well-structured data models
• Communicate clearly with both technical and non-technical partners

Preferred:

• Experience supporting revenue, sales, or customer lifecycle data
• Familiarity with event-based data platforms (e.g., Data Cloud or equivalents)
• Experience working alongside platform engineering and security teams
• Exposure to data governance, access controls, and compliance considerations
• Experience mentoring or guiding other data practitioners

Compensation:

The total rewards package at Mercury includes base salary, equity, and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $158,400 - $198,000
• US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $142,600 - $178,200
• Canadian employees (any location): $149,700 - 187,100 CAD

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024.

[Please see the independent bias audit report covering our use of Covey for more information.] 

#LI-SN1

Your Impact at LILA

Lila is seeking a highly motivated and experienced engineering leader to lead a team responsible for our Lila's product data platform. You will own the data platform and infrastructure end-to-end — architecture, delivery, reliability, and developer/data scientist experience.

Our mission is to deliver Scientific Super Intelligence through a reliable, scalable, and self-service infrastructure for data ingestion, storage, processing, and interaction — enabling AI/ML, product teams, and scientists to build data-intensive applications with confidence and speed. Our platform supports analytical and machine learning workloads across Lila, serving autonomous DBTL cycles, instrument data pipelines, and AI inference workflows.

You will be responsible for building and leading a team of talented engineers, driving technical strategy, and ensuring the scalability and performance of our data management and data serving capabilities of our Data Platform. You will work closely with data scientists, data engineers, lab scientists, and product teams to understand their needs and deliver innovative solutions that leverage the power of cutting edge data processing technologies.

What You'll Be Building

• Team Leadership: Build, mentor, and manage a high-performing team of 8-12 data engineering experts. Evaluate and adopt modern data infrastructure - including real-time streaming (Kafka, Flink), columnar engines (DuckDB, ClickHouse), lake house, and cloud-native object storage architectures; Foster a culture of collaboration, innovation, and continuous improvement; Provide technical guidance and mentorship to team members, promoting their professional growth; Conduct performance reviews, provide feedback, and identify opportunities for training and development; Manage team workload, prioritize projects, and ensure timely delivery of high-quality solutions.
• Technical Strategy and Execution: Define and execute the technical roadmap for our data platform, aligning with Lila’s overall data strategy; Drive innovation in data Lakehouse and data serving ecosystem exploring new technologies and approaches to improve usability, performance, scalability, and efficiency; Ensure the reliability, availability, and security of our data processing infrastructure.; Collaborate with other engineering teams to integrate our data processing technologies with other Lila systems and services.
• Stakeholder Management: Partner with data scientists, data engineers, lab scientists, product managers, and other stakeholders to understand their data processing needs and requirements; Communicate technical concepts and solutions effectively to both technical and non-technical audiences; Advocate for best practices in data processing and engineering; Manage expectations and ensure alignment across different teams.
• Engineering Thought Leadership: Represent Lila’s data platform work at external conferences; Deliver presentations, and write blog posts highlighting Lila’s leadership in big data processing.
• Scientist and Engineering Productivity: Drive innovative, agentic, and low-code solutions to deliver data interfaces - exploration, query, analytics, and ML/inference solutions at scale.

What You’ll Need to Succeed

• 12+ years of software development experience, with a focus on data processing at scale. 5+ years of experience leading senior engineers.
• Experience with building on AWS/GCP primitives like S3 + Athena/BigQuery, and query engines.
• Operated data platforms at petabyte scale with sub-second query latency requirements.
• Experience managing data infrastructure supporting 100+ concurrent ML training and inference workloads.
• Familiarity with LLM/AI-native data patterns — vector stores, embedding pipelines, pre/mid/post training.
• Track record of building data platforms in high-growth or early-stage environments where speed-to-value mattered as much as long-term architecture.
• Hands-on coding in Python and modern backend frameworks. Experience with infrastructure-as-code and containerized deployments (Kubernetes).
• BS, MS, or Ph.D. in Computer Science or a related field of study.

Bonus Points For

• Thought leadership in the community via presentations in conferences or blog posts.
• Experience building and growing teams focusing on open source technologies.
• Scientific data management and quality experience
• Built self-service data products/platforms where developer experience was a first-class product concern.

About Hazel

Hazel is building the AI engine for wealth management that helps unlock 10x growth, efficiency and value for financial advisors and their clients in a regulated industry. Since its launch last September, Hazel has organically and rapidly grown its user base.

Hazel is a part of Altruist’s broader mission to make financial advice better, more affordable, and accessible to all.

This role is hybrid, with four in-office days per week at our San Francisco FiDi location.

The opportunity

You’ll be the first technical hire on Hazel’s revenue team that requires you to be hands on and lead the revenue infrastructure for Hazel from the ground up. You'll define what a 0 to 1 AI native revenue operations stack looks like: laying the technical and data foundations, owning pipeline visibility, and partnering with our VP of Revenue to make sure sales capacity is working to their fullest. You're the person who makes the revenue team faster, sharper, and more accountable, and you have the technical depth to build what doesn't exist yet.

If you've led RevOps or GTM Engineering at a high-growth company, understand the full revenue lifecycle, and want to architect something from scratch inside one of the most exciting AI companies in fintech, this is the role.

What you'll do

• Design and build Hazel's full revenue tech stack (CRM, marketing automation, enrichment, sequencing, attribution) with a clear point of view on what we should build, buy, or integrate.
• Build AI-powered agents and workflows for lead qualification, outbound personalization, and rep productivity; owning the full system from data inputs to action and output.
• Leverage AI and automation to enhance system capabilities, reduce manual processes, and unlock productivity gains across revenue-generating functions
• Architect multi-step, agentic GTM systems that automate workflows across the funnel (research → enrichment → scoring → outreach → routing).
• Manage the revenue data warehouse – Own our Snowflake layer for GTM data; write or oversee the SQL and pipeline logic that powers forecasting, dashboards and board-level reporting.
• Evaluate vendor contracts, own integrations, and where needed, write or direct the Python/TypeScript code that connects systems and closes gaps off-the-shelf tools can't fill.
• Design lead routing, lifecycle stages, SLAs, and handoff logic between marketing, SDRs and AEs; ensure the system enforces the motion, not just documents it.

What you'll bring

• 8+ years in Revenue Operations, GTM Engineering, or Sales Operations, including direct experience where you were the one who actually built the GTM stack.
• Proven track amplifying  a sales team's output, not just maintained tooling, but architected systems that changed how the team goes to market.
• Strong technical fluency: comfortable with APIs, Webhooks, SQL and a revenue data warehouse (Snowflake, BigQuery, or Databricks), experienced with CRM platforms (HubSpot or Salesforce) at an admin/architect level, and the ability to write Python/Javascript code.
• Experience designing and deploying AI-powered GTM workflows, whether through LLM APIs, Clay, or custom-built tooling, with a bias toward automation that removes friction from the revenue motion.
• A foundational understanding of pipeline economics, forecasting methodology, and how GTM systems decisions ripple into revenue outcomes.
• Comfort building in ambiguity. You make decisions with incomplete information, move fast, and clean up as you scale.

Bonus points

• Experience scaling GTM at a company that sold an AI-native or technically complex product, where the buyer education motion was non-standard.
• Background in analytics engineering (dbt, Fivetran, Segment) or data infrastructure.
• Prior experience as the founding or first RevOps hire at an early-stage company. You know what it means to set up a function from scratch.
• Familiarity with LLM APIs (Anthropic, OpenAI) used to build GTM workflows. You can build AI native lead qualification agents, call summarization, email personalization, products etc.

Leveling & compensation

Competitive base + equity. This is a foundational hire; we expect to pay for proven capability. This role has a target compensation range of $250,000-$300,000. Final level and compensation is individualized and will be determined based on overall experience, qualifications, and interview performance.

Role

As a Forward-Deployed Software Engineer (FDSE) at Workhelix, you’ll work directly with enterprise clients to solve high-impact data and engineering challenges. You’ll embed with client teams to understand legacy systems, extract and transform complex datasets, and build scalable solutions that answer the three critical questions leaders have for us.

This role is technical first: you’ll write production-grade code, build data pipelines, and integrate with messy real-world systems. You’ll be critical to our mission of delivering actionable insights by ensuring our software works seamlessly in diverse enterprise environments.

We expect our engineers to bring deeper technical experience—this is not an entry-level or rotational role. You’ll need at least 5 years of experience building software, ideally in environments where understanding the business context matters. You may be a good fit if you’ve been in any of the following roles: Sales Engineer, Technical Consultants, Customer facing Software Engineers, Developer Advocates or Technical Evangelist.

Key Responsibilities:

What You’ll Do

Client-Embedded Engineering

• Deploy on-site or work closely with client engineering teams to extract data from enterprise systems (e.g., ERPs, data warehouses, SaaS tools).
• Navigate unfamiliar systems and architectures to identify the best technical path forward, often with incomplete documentation or limited access.
• Own end-to-end implementation of technical solutions—from data extraction and transformation to integration with the Workhelix platform.

Software & Infrastructure Development

• Write clean, efficient, and maintainable code in Python, SQL, and other languages as needed.
• Build and deploy data pipelines, APIs, and internal tooling to support analytics and modeling workflows.
• Develop connectors and integrations with third-party systems, ensuring robustness and scalability.
• Navigate legacy codebases to diagnose customer issues and contribute fixes when needed.

Problem Solving in the Real World

• Partner with customer stakeholders (technical and non-technical) to deeply understand their systems, workflows, and pain points.
• Decompose vague or ambiguous problems into tractable engineering tasks with measurable impact.
• Balance speed and quality—know when to build quick scrappy prototypes and when to harden systems for scale.

Cross-Functional Execution

• Collaborate with Workhelix’s data scientists, strategists, and platform engineers to deliver end-to-end solutions that drive business outcomes.
• Surface client insights that inform our product roadmap and internal tooling priorities.
• Contribute to internal playbooks, libraries, and reusable assets that increase the velocity of future deployments.

Requirements:

• 3+ years of professional software development experience, ideally in data-heavy environments or full-stack roles.
• Fluency in Python and SQL, with experience working across a range of data storage systems (e.g., Postgres, Snowflake, BigQuery).
• Demonstrated ability to operate in ambiguous environments and deliver working software within real-world constraints.
• Strong communication skills—you can collaborate directly with client engineers and translate between technical and business domains.
• Experience with cloud infrastructure (e.g., AWS, GCP) and deployment best practices is a plus.
• Willingness to travel occasionally to client sites (typically U.S.-based Fortune 1000 companies).

The Baseball Data Platform team is seeking an Associate Software Engineer. From Statcast to ABS and beyond, the Baseball Data Platform is the bedrock of all Major League Baseball stats. Used by fans, broadcasters, stadiums, MLB Clubs, and across the league, if you’ve seen a data point about baseball, there's a good chance it started here.

We are seeking software engineers who possess a strong passion for developing new technologies within the baseball industry. This position provides the opportunity to collaborate with world-class engineers, product developers, and designers; contribute to acclaimed and sophisticated applications and systems; influence the innovation of products utilized by millions globally; and work within a highly collaborative, results-oriented team environment.

Responsibilities

Coding

• Write clean, concise, modular code that is easily testable
• Contribute to the Baseball Data API layer that powers baseball stats across the organization
• Design and build consistent, easy to use UIs, working with our operations partners to ensure their needs are met
• Utilize and contribute to applications deployed on Google Cloud Platform (GCP) and at edge inside ballparks

Collaboration

• Participate in an agile environment.
• Participate in the full software development lifecycle (requirements gathering, designing, building, testing and maintenance)
• Collaborate with other engineers in code reviews, pair programming, and design sessions

Technology

• Drive innovation in products utilized by millions globally
• Collaborate with leading data scientists on areas such as data analysis, machine vision, and Natural Language Processing (NLP)
• Introduce and champion technologies you are passionate about
• Develop technology used by all 30 Major League teams, every national and regional broadcast, and across the MLB organization
• Change the way baseball is consumed

Qualifications & Skills

• An undergraduate degree computer science or related field
• An avid learner, independent with excellent problem-solving skills
• Willingness to dive into any part of the system to understand and deliver the best solution
• Eager to learn new technologies and tools
• Ability to collaborate with other engineers
• Experience with modern web technologies (React, TypeScript, NodeJS)
• Experience designing or consuming APIs that serve frontend applications (Java, Spring, SQL, NestJS)
• Familiarity with Terraform
• Exposure to Google Cloud Platform
• Familiar with messaging queues: ActiveMQ, Kafka
• Familiarity with SQL databases like Postgres and SQL concepts
• Knowledge of big data concepts and related languages/tools, such as BigQuery or Bigtable

Salary Range: $90,000 - $120,000 (Base Salary + Bonus)

As a candidate for this position, your salary and related aspects of compensation will be contingent upon your work experience, education, skills, and any other factors MLB considers relevant to the hiring decision. In addition to your salary, MLB believes in providing a competitive compensation and benefits package for its employees.

Top MLB Perks & Benefits

• Competitive Benefits Package
• Company 401K Contribution
• Paid Time Off and Holidays
• Paid Parental Leave
• Access to Free Tickets to Baseball Games & MLB.TV
• Discounts at MLB Store | MLBShop.com
• Employee Assistance Programs (EAP)
• Onsite/Online Training & Development Programs
• Tuition Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Pet Insurance

Scopely is a global gaming company whose mission is to inspire play every day. Niantic (a division of Scopely) inspires people to explore the world together through products that promote exercise, exploration, and real-world social interaction.

We’re seeking a strategic, impact-driven Staff Data Scientist to partner with Marketing and Product. You will lead scalable measurement frameworks, predictive models, and AI-powered analytics to shape user acquisition, engagement, monetization, and long-term player value.

As a senior IC, you’ll define data strategy across marketing and product analytics, elevate experimentation and causal inference, and leverage modern AI tools to accelerate insights and decision-making. You’ll collaborate with Marketing, Product, Engineering, Finance, and Executive Leadership to drive measurable business outcomes.

Responsibilities

Marketing & Product Analytics

• Design scalable measurement frameworks across acquisition, retention, monetization, and lifecycle marketing.
• Build and productionize advanced models (LTV, churn, propensity, incrementality, MMM) to inform investment and roadmap decisions.
• Partner with Marketing and Finance to optimize budget allocation and ROI.

Experimentation & Causal Inference

• Raise experimentation standards (A/B testing, quasi-experimental methods, incrementality).
• Translate privacy-constrained attribution environments (e.g., SKAdNetwork, aggregated reporting) into actionable insights.

Data Engineering & Infrastructure

• Architect and maintain scalable ETL pipelines for marketing and product data (e.g., Airflow, Composer).
• Design optimized data models and warehouse schemas for high-performance analytics.
• Build reusable data assets, feature stores, and modular analytics frameworks.

AI-Driven Analytics

• Apply modern AI/ML tools (LLMs, coding assistants, automated workflows) to accelerate modeling and analysis.
• Integrate AI into analytics workflows to improve speed, quality, and reproducibility.
• Promote technical excellence and responsible AI adoption.

Qualifications

• 7+ years in data science supporting Marketing, Growth, UA, or Product Analytics (gaming/mobile preferred).
• Proven experience building production-grade predictive models (LTV, churn, propensity, MMM) that drive impact.
• Strong expertise in experimentation, causal inference, and marketing measurement.
• Advanced SQL and Python skills, including scalable ETL and production workflows.
• Experience with BI tools (e.g., Looker) and enabling self-serve analytics.
• Ability to influence senior stakeholders and drive executive-level adoption.

Plus If…

• End-to-end delivery experience (telemetry, QA, ETL, modeling, deployment, dashboards).
• Experience with large-scale datasets.
• Familiarity with BigQuery, Composer, and Airflow.

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 Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex. You will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses. This is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions.

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

• Apply data visualization and storytelling skills in creating business intelligence solutions (such as Looker and/or Hex dashboards) that enable actionable insights.
• Perform ad-hoc analyses and deep dives to investigate business questions, surface trends, and provide data-driven recommendations.
• Develop self-service data tools and processes that empower business stakeholders to independently monitor the performance and health of their respective areas.
• Collaborate closely with Data Scientists and Data Engineers to identify data sources, enable data pipelines, and support the development of analytical data models that operationalize reports and dashboards.
• Implement and maintain rigorous data quality checks to ensure the integrity and robustness of datasets used across dashboards, reports, and analyses.
• Partner with various departments—including Sales, Operations, Product, and Finance—to understand their data needs and deliver tailored analyses and reporting that support strategic planning.
• Contribute to the automation of recurring analyses and reporting workflows using Python.

Requirements

• 3+ years of experience in data analytics or a related role in a professional setting.
• 2+ years of experience working directly with Sales, Operations, Product, or equivalent business teams.
• Fluency in SQL to manipulate data and perform complex analyses (CTEs, window functions, joins across large datasets).
• Experience with Python for data analysis, automation, or scripting.
• Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar).
• Strong quantitative and analytical skills with a demonstrated ability to translate data into business insights.
• Strong communication skills and the ability to work effectively with stakeholders across different functions and levels of technical fluency.
• 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

• Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Databricks).
• Familiarity with dbt for data modeling and transformation.
• Exposure to data pipeline orchestration tools (e.g., Airflow).
• Experience in fintech, financial services, or payments.
• Comfort operating in a fast-paced, high-growth environment with evolving priorities.

Compensation

The expected salary range for this role is $93,600 - $117,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

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 Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex. You will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses. This is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions.

Where you’ll work

This role will be based in our New York 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

• Apply data visualization and storytelling skills in creating business intelligence solutions (such as Looker and/or Hex dashboards) that enable actionable insights.
• Perform ad-hoc analyses and deep dives to investigate business questions, surface trends, and provide data-driven recommendations.
• Develop self-service data tools and processes that empower business stakeholders to independently monitor the performance and health of their respective areas.
• Collaborate closely with Data Scientists and Data Engineers to identify data sources, enable data pipelines, and support the development of analytical data models that operationalize reports and dashboards.
• Implement and maintain rigorous data quality checks to ensure the integrity and robustness of datasets used across dashboards, reports, and analyses.
• Partner with various departments—including Sales, Operations, Product, and Finance—to understand their data needs and deliver tailored analyses and reporting that support strategic planning.
• Contribute to the automation of recurring analyses and reporting workflows using Python.

Requirements

• 3+ years of experience in data analytics or a related role in a professional setting.
• 2+ years of experience working directly with Sales, Operations, Product, or equivalent business teams.
• Fluency in SQL to manipulate data and perform complex analyses (CTEs, window functions, joins across large datasets).
• Experience with Python for data analysis, automation, or scripting.
• Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar).
• Strong quantitative and analytical skills with a demonstrated ability to translate data into business insights.
• Strong communication skills and the ability to work effectively with stakeholders across different functions and levels of technical fluency.
• 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

• Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Databricks).
• Familiarity with dbt for data modeling and transformation.
• Exposure to data pipeline orchestration tools (e.g., Airflow).
• Experience in fintech, financial services, or payments.
• Comfort operating in a fast-paced, high-growth environment with evolving priorities.

Compensation

The expected salary range for this role is $93,600 - $117,000. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

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.

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 New York 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.

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 Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex. You will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses. This is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions.

Where you’ll work

This role will be based in our São Paulo office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Apply data visualization and storytelling skills in creating business intelligence solutions (such as Looker and/or Hex dashboards) that enable actionable insights.
• Perform ad-hoc analyses and deep dives to investigate business questions, surface trends, and provide data-driven recommendations.
• Develop self-service data tools and processes that empower business stakeholders to independently monitor the performance and health of their respective areas.
• Collaborate closely with Data Scientists and Data Engineers to identify data sources, enable data pipelines, and support the development of analytical data models that operationalize reports and dashboards.
• Implement and maintain rigorous data quality checks to ensure the integrity and robustness of datasets used across dashboards, reports, and analyses.
• Partner with various departments—including Sales, Operations, Product, and Finance—to understand their data needs and deliver tailored analyses and reporting that support strategic planning.
• Contribute to the automation of recurring analyses and reporting workflows using Python.

Requirements

• 4+ years of experience in data analytics or a related role in a professional setting.
• 3+ years of experience working directly with Sales, Operations, Product, or equivalent business teams.
• Fluency in SQL to manipulate data and perform complex analyses (CTEs, window functions, joins across large datasets).
• Proficiency in Python for data analysis, automation, and scripting (Pandas, NumPy, and similar libraries).
• Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar).
• Strong quantitative and analytical skills with a demonstrated ability to translate data into business insights.
• Strong communication skills and the ability to work effectively with stakeholders across different functions and levels of technical fluency.
• 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

• Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Databricks).
• Familiarity with dbt for data modeling and transformation.
• Exposure to data pipeline orchestration tools (e.g., Airflow).
• Experience in fintech, financial services, or payments.
• Comfort operating in a fast-paced, high-growth environment with evolving priorities.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

About the Role

You will be the founding BI Engineer at Altana, responsible for building the analytical infrastructure that enables data-driven decision-making across the entire company. This is not a reporting role that sits downstream of decisions already made—it is a foundational engineering role that will define how Altana understands its own business, customers, and products.

You will own the full stack from data modeling and pipeline orchestration through semantic layers, dashboards, and self-service tooling. You will partner directly with engineering, product, go-to-market, and finance leadership to translate ambiguous business questions into reliable, well-modeled data products. Because you are the first hire in this function, you will also set the technical direction, tooling choices, and quality standards that future BI engineers will inherit.

What You Will Do

Build the BI Foundation

• Design and implement a scalable analytics data warehouse (or lakehouse) layer on top of Altana’s existing data infrastructure.
• Define the canonical dimensional model: facts, dimensions, conformed keys, and slowly changing dimensions for core business entities (customers, transactions, subscriptions, product usage, pipeline).
• Stand up and own the transformation layer (e.g., dbt) with version control, CI/CD testing, and documentation standards from day one.
• Establish a semantic/metrics layer so that “revenue,” “active customer,” and “retention” mean exactly one thing company-wide.

Deliver Insight at Scale

• Build and maintain executive dashboards covering SaaS metrics (ARR, NRR, GRR, expansion/contraction, logo churn), product engagement, and operational health.
• Create self-service datasets and exploration environments so that PMs, GTM leads, and finance can answer their own questions without filing a ticket.
• Own data quality monitoring, alerting, and incident response for the BI layer.

Partner Across the Business

• Act as the embedded analytics thought partner for engineering leadership, product, sales, CS, and finance—translating business context into data requirements and vice versa.
• Proactively identify trends, anomalies, and opportunities in the data; surface them before anyone asks.
• Drive alignment on KPI definitions, measurement methodology, and reporting cadences.

Set the Technical Direction

• Evaluate and recommend the BI tooling stack (visualization, orchestration, cataloging, observability) with an eye toward total cost of ownership and long-term maintainability while re-using infrastructure and tooling already part of the larger stack.
• Write the playbook: style guides, naming conventions, PR review standards, and on-call expectations for the BI function.
• Hire, mentor, and grow the BI team as demand scales.

Qualifications

Must-Haves

• 7+ years of professional experience in analytics engineering, BI engineering, or a closely related data discipline.
• Deep fluency in SQL and at least one transformation framework (dbt strongly preferred).
• Strong dimensional modeling skills: star/snowflake schemas, conformed dimensions, incremental loading patterns.
• Production experience operating a modern lakehouse stack (e.g., Snowflake/BigQuery/ Databricks),  including transformation tooling (dbt or DLT) and a BI layer (Looker, Tableau, or Sigma).
• Track record of defining and shipping company-wide KPI frameworks and executive dashboards.
• Comfort working in ambiguity: you have built a BI function (or a significant new workstream within one) from scratch before.
• Excellent communication skills—you can explain a data model to an engineer and a retention curve to a CRO with equal clarity.

Nice-to-Haves

• Experience with Python for data pipelines, scripting, or lightweight ML/statistical analysis.
• Familiarity with SaaS business models and metrics (ARR, NRR, logo vs. dollar churn, cohort analysis).
• Exposure to supply chain, trade compliance, or government contracting domains.
• Experience with data cataloging or governance tools (e.g., Atlan, DataHub, Monte Carlo).
• Prior experience as the first or founding analytics hire at a growth-stage company.

US Salary Range and Benefits

$180,000- $210,000 USD

The salary range, to the extent specified for this role, is a good faith statement of the minimum and maximum levels of the annual based salary for the position.  The base salary offered to a successful candidate will depend on a wide range of compensation factors, including, but not limited to, work experience, education and/or training, critical skills, and/or business considerations. Competitive equity grants are included in the majority of full time offers; and are considered part of Altana's total compensation package. Altana also offers either a discretionary bonus or a variable compensation plan depending on the role. Additionally, Altana offers top-tier benefits for full-time employees, including:

• Flexible Time Off: Altana operates with a Flexible Time Off (FTO) policy that gives you agency over your own time off so you can maximize your work-life balance.
• Parental Leave: We offer industry leading Paid Parental Leave (PPL), providing 14 weeks of leave for non-birthing, adoptive, and foster parents and up to 26 weeks of leave for birthing parents, all paid at 100% of your base salary.
• Health Benefits: We have a full suite of medical, vision, and dental benefits with generous employer contributions, designed to give you flexibility and choice for your individual health situation. Our high deductible health plan is 100% employer paid for employees and supplemented with an employer contribution to your Health Savings Account (HSA). There is also a Flexible Spending Account (FSA) option.
• Supplemental Benefits: Altana provides life, short- and long-term disability, and AD&D insurance coverage, all at no cost to you, so you know that you and your loved ones are covered in case of an emergency.
• 401(k) Savings: Save for and invest in your future using our Guideline 401(k) retirement savings program.
• Commuter Benefits: Save money on your commute by setting aside pre-tax funds for public transit or parking!
• Wellness: Because we value mental and emotional health, every Altana employee has access to a free premium subscription to Calm, the #1 app for meditation, sleep, and mindfulness.
• Pet Insurance: Pets are family too! Keep them healthy with Wishbone insurance and / or our Total Pet vet service and telehealth discount plan.
• Employee Assistance Program: Free access to confidential personal support.
• Dependent Care FSA: You will have access to a Dependent Care FSA, which allows you to set aside pre-tax funds for childcare expenses

The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

ABOUT ROCKET MONEY 🔮

Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey.

ABOUT THE TEAM 🤝

Data Platform Engineers at Rocket Money further our mission by building and maintaining the infrastructure that enables our company to understand our users and products through reliable, scalable data systems. We build the foundational platform that ingests, processes, and serves data—enabling our Data Analytics, Machine Learning, and Software Engineering teams to build data products efficiently. We work closely with engineering teams to ensure data is captured correctly at the source, design resilient pipelines, and create self-service capabilities that empower stakeholders.

The Data Platform team is in an exciting phase of growth and formalization. While we have established tools and processes in place (dbt, BigQuery, Terraform), we're actively building the comprehensive standards, practices, and systems that will scale with Rocket Money as it grows. We're looking for engineers who can take ownership and evolve workflows into reliable, well-documented, production-grade systems. This is an opportunity to shape architectural decisions, establish team practices, and define how Rocket Money works with data for years to come.

We have a strong preference for process-oriented systems thinkers who excel in balancing stakeholder requirements, technical debt, and organizational complexity—and who thrive in environments where they need to create structure from ambiguity. You'll need to be comfortable making principled decisions, taking ownership not just of code but of outcomes, and operating with significant autonomy as we build the platform together.

ABOUT THE ROLE 🤹

In this role, you will:

• Be an end-to-end owner of our data platform infrastructure, ensuring its security, usability, and performance. Work closely with analytics engineers, machine learning engineers, and software engineers to ensure the platform meets their needs.
• Make collaborative decisions about data tooling, pipeline design, and governance, and implement opinionated interfaces that facilitate easy and best-practice-aligned development for other teammates.
• Continuously improve failure rates for data sources by moving alerting “to the left”; i.e. catching and quarantining bugs/failures as close to the source as possible.
• Analyze patterns in how source data is generated, modeled, and consumed. Work with stakeholders to implement the best solution when new data sources are added.
• Take ownership of existing tools and workflows that may be functional but lack formal structure, documentation, or reliability measures. You'll assess what's working, identify gaps, and systematically improve systems to production-grade quality.
• Document everything you build knowing that you're creating the foundation others will build upon. Your runbooks, architecture decision records, and system documentation will become the institutional knowledge of our data platform.
• Proactively communicate with multiple stakeholders on platform capabilities, technical constraints, architectural decisions, project priorities, and platform support.
• Confidently juggle multiple projects and priorities in our fast-paced environment and work with stakeholders and platform teammates to ensure infrastructure changes, migrations, and improvements are delivered on schedule.
• Automate aggressively and deliberately; anything from GitHub Actions to Slack Workflows to minimize repetitive tasks. Effectively judge when the level of effort is appropriate and avoid over-engineering.

ABOUT YOU 🦄

• You have 6+ years of experience working with data infrastructure, data engineering, or platform engineering within a fast-paced environment. You are highly proficient with SQL, Python, and cloud-based Infrastructure-as-Code (e.g. Terraform), and comfortable working with bash/shell scripting.
• You have 4+ years of production experience with modern data stacks including data warehouses (BigQuery, Snowflake, or Redshift), orchestration tools, managed ingestion services, and infrastructure as code (Terraform, Pulumi, or CloudFormation).
• You have 2+ years of experience building and maintaining production data pipelines, whether through ELT tools, custom applications, streaming systems, or event-driven architectures.
• You've successfully "professionalized" data infrastructure before—taking scrappy, working systems and evolving them into reliable, well-documented, production-grade platforms. You can articulate what "production-ready" means in a data context.
• You have a bias toward action and aren't paralyzed by imperfect solutions. You understand when "good enough for now with a plan to improve" beats "perfect but six months late." You ship incrementally and iterate based on feedback.
• You're comfortable being the first person to tackle a problem. You don't need extensive mentorship or detailed tickets—you can take a high-level business need and figure out the technical approach. That said, you know when to ask for help and can articulate what you need.
• You take ownership seriously—not just of writing code, but of outcomes. When you build something, you implement monitoring, write runbooks, create alerts, and ensure it can be maintained by others. You think about the full lifecycle of systems, not just initial delivery.
• You have strong opinions, weakly held. You can make and defend architectural decisions, but you're open to feedback and willing to change course when presented with better information. You can disagree and commit.
• You understand that "building from scratch" doesn't mean rejecting existing tools—it means thoughtfully selecting, configuring, and integrating managed services and open-source solutions to create a cohesive platform. You know when to build and when to buy.
• You have experience making big changes to critical data infrastructure. You’ve successfully re-architected, migrated, or upgraded data tooling that has strict SLA’s, without significantly affecting downstream stakeholders.

Bonus points if:

• You have led a data infrastructure migration or modernization project where you defined the vision, approach, and implementation.
• You have created internal tools, frameworks, or CLIs that improved how teams work with data (not just one-off scripts).
• You have established data platform best practices like CI/CD workflows, testing frameworks, or observability standards where none existed.
• Expertise in cloud platforms and technologies analogous to our stack:
  • Our stack: GCP (BigQuery, Datastream, Cloud Functions, Vertex AI, GCS), dbt, Fivetran, Postgres, Python, Terraform, Looker, Retool
  • Analogous experience: AWS (Redshift, DMS, Lambda, SageMaker, S3) or Azure (Synapse, Data Factory, Functions), Snowflake, Airbyte/Stitch, infrastructure as code tools, BI platforms

WE OFFER 💫

• Health, Dental & Vision Plans
• Life Insurance
• Long/Short Term Disability
• Competitive Pay
• 401k Matching
• Team Member Stock Purchasing Program (TMSPP)
• Learning & Development Opportunities
• Tuition Reimbursement
• Unlimited PTO
• Daily Lunch, Snacks & Coffee (in-office only)
• Commuter benefits (in-office only)

Additional information: Salary range of $160,000 - $200,000 + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience.

Rocket Money, Inc. is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

About the Role

Chime’s Data Platform team builds the infrastructure every engineering and analytics team depends on - ingestion, transformation, quality, governance, and self-serve tooling across batch and streaming workloads.

You’ll own core platform systems at scale, design the frameworks other teams build on, and set the technical standards for how data moves through Chime. High autonomy, real architectural trade-offs, production impact from day one. We’re hiring multiple engineers into this role at the senior level.

The base salary offered for this role and level of experience will begin at $187,000.00 and up to $259,000.00. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Design, build, and operate self-serve ETL/ELT frameworks supporting both batch and streaming workloads, with direct ownership of pipeline reliability, data quality SLAs, and schema evolution
• Drive the technical roadmap for our data platform - evaluate build-vs-buy decisions, define integration patterns, and set standards that engineering teams across the company adopt
• Partner with Product Engineering, Data Science, Analytics, and Marketing as a technical lead to design data contracts, onboard new data domains, and scale ingestion without sacrificing governance
• Architect and enforce data lineage, schema registry, and access controls across all domains - ensuring compliance with fintech regulatory requirements (SOX, PII handling)
• Own the platform - monitor, alert, debug, and resolve incidents across the data platform with the urgency expected of infrastructure that powers financial products
• Raise the technical bar of the team through code review, design reviews, and hands-on mentorship of junior and mid-level engineers
• Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary.

To thrive in this role, you have

• 5+ years building, shipping, and operating data infrastructure in production - not just writing pipelines, but owning their reliability, performance, and cost at scale
• Strong system design skills - you’ve written design docs, made trade-offs, and delivered the result
• Solid understanding of key metrics for data pipelines and experience building solutions to provide visibility to partner teams
• Deep proficiency in Python or Java/Kotlin, with strong opinions on testing, code quality, and maintainability in data-heavy codebases
• Production experience with the modern data stack, specifically:
• A cloud data warehouse (Snowflake, BigQuery, or Redshift)
• Workflow orchestration (Airflow, Dagster, or Prefect) and IaC (Terraform)
• At least one streaming technology (Kafka, Flink, or Kinesis) - you understand when batch isn’t enough
• Data modeling and transformation frameworks (dbt)
• Built or improved observability for data systems - freshness monitoring, row-level quality checks, schema drift detection, and SLA dashboards that engineering and business teams actually trust
• Experience operating in a regulated environment (fintech, healthtech, or similar) where data governance, access control, and audit trails are non-negotiable

#LI-GC1 #LI-Onsite

About the Role

As an Engineering Manager on Chime’s Data Platform, leading the Data Storage team, you will own the group that manages Chime’s online and analytical data stores and low-latency metric serving layer. Your team will be responsible for building and operating reliable, scalable, and secure storage foundations that power analytics, experimentation, and AI-driven product experiences across Chime.

You’ll partner closely with other Data Platform squads as well as Product Engineering, Security, and Analytics teams to define storage strategies, data contracts, and SLAs that support both high-scale batch workloads and latency-sensitive online use cases. Your leadership will directly impact how Chime stores, governs, and serves data - enabling trusted, self-serve, AI-ready data for Chimers across the company.

This role is not just about running infrastructure - it’s about setting a vision for the future of data storage at Chime, fostering a culture of technical excellence, and growing a high-performing team that can evolve our architecture as the business and our data scale.

The base salary offered for this role and level of experience will begin at $199,000 and up to $275,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Own the strategy and roadmap for Chime’s Data Storage Platform, including Snowflake, data lake and online data stores for low-latency access.
• Design and evolve scalable, high-performance storage architecture that balance reliability, cost, and ease of use for both analytical and in-product workloads.
• Ensure performant and secure data access by defining and enforcing access patterns, partitioning and clustering strategies, indexing, and caching and serving layers for key datasets and metrics.
• Collaborate across Data Platform and partner teams to define clear data contracts, schemas, and SLAs between producers, storage, and consumers.
• Build tooling and automation for governance and compliance across sinks (e.g., RBAC, PII protection, tokenization, lineage, and auditability) in partnership with Security, Risk, and Compliance.
• Manage and grow a team of engineers, setting clear expectations, providing coaching and feedback, and raising the bar on engineering quality and operational excellence.
• Establish strong operational practices, including on-call, incident management, postmortems, and SLOs for the storage and serving layers your team owns.
• Stay ahead of industry trends in data storage, lakehouse architectures, and AI/ML-ready data systems, and thoughtfully introduce technologies that improve our platform’s capabilities.

To thrive in this role, you have

• Have 8+ years of experience in high-scale, high-reliability software development, with a focus on platforms, infrastructure, and data storage systems.
• Have 3+ years of experience managing engineering teams, including hiring, performance management, and developing engineers.
• Have a track record of scaling products, platforms, and operations to support rapid growth in data volume, complexity, and criticality.
• Bring deep experience with data infrastructure components, such as data lakes and lakehouses (e.g., Iceberg), data warehouses (e.g., Snowflake), online and offline data stores, and both batch and real-time streaming systems.
• Have proven expertise in system and data architecture for scalable, secure, and cost-efficient data platforms, including schema design, data modeling, and partitioning strategies.
• Are comfortable working with modern data and infrastructure technologies, such as Spark, Flink, Kafka, Airflow, Kubernetes, and similar tools.
• Are proficient in Python or similar languages (e.g., Java, Scala) and familiar with SQL and performance tuning for analytical workloads.
• Have extensive experience in cloud-based data ecosystems, such as AWS (S3, DynamoDB, Redshift, Snowflake, EMR), GCP (BigQuery, Dataflow), or Azure equivalents.
• Understand data governance, security, and compliance best practices (e.g., RBAC, PII handling, auditability) and have helped design systems that meet regulatory and internal standards.
• Are deeply interested in the transformative potential of advanced AI systems and how to build AI-ready data foundations (metadata, lineage, semantic layers, feature and metric serving).
• Excel at building strong relationships with stakeholders across engineering, product, analytics, security, and finance, and can translate between technical and business contexts.
• Demonstrate strong people leadership, with a track record of building a culture of belonging and engineering excellence.

#LI-Hybrid #LI-GC1

About the Role

As a Manager on the Solutions Engineering team at Mixpanel, you will lead a talented group of analytics consultants who are pivotal to our success. You will be at the forefront of driving customer value, guiding your team as they serve as the primary technical resources for our Sales organization. 

This role is a unique blend of leadership, technical expertise, and business strategy. You will be responsible for coaching and developing your team, refining our technical sales processes, and collaborating across departments to ensure our customers achieve their business outcomes with Mixpanel. 

You will also play a key role in hiring, onboarding, and managing the next wave of Solutions Engineers. By fostering a culture of excellence and deep customer empathy, you will empower your team to architect innovative solutions, drive product adoption, and ultimately secure the technical win with prospects and customers. 

Responsibilities

• Develop & Mentor: Lead, coach, and grow a high-performing and inclusive team of Solutions Engineers, actively investing in their career development and upholding a high standard of performance.
• Drive Results: Partner closely with Sales leadership and Account Executives to provide technical expertise that drives new, retained, and expansion ARR. You will ensure your team's activities are directly contributing to the company's bottom line.
• Prioritize & Problem Solve: Guide your team through complex customer evaluations and technical challenges. You will manage team resources effectively, aligning the right skills to customer needs to achieve productivity targets and successful outcomes.
• Cross-Functional Partnership: Act as a key technical liaison, collaborating with peer managers across Sales, Product, and Engineering. You will gather and synthesize customer feedback from your team to influence product strategy and solve problems at scale.
• Communicate & Manage Change: Effectively translate broader company and departmental strategy into clear, actionable goals for your team. You will guide your direct reports through evolving business priorities with empathy and clarity.
• Hire the Best: Actively assess the needs of the team, build a pipeline of top talent, and hire outstanding individuals who elevate the team's capabilities and contribute to our inclusive culture.
• Innovate & Raise the Bar: Relentlessly seek to improve how your team operates, from refining demo strategies and proof-of-concept methodologies to adopting new tools and processes that increase effectiveness and celebrate success.

We’re Looking For Someone Who

• Has progressive experience in a B2B SaaS environment, including 3+ years of people management experience leading a technical pre-sales, solutions engineering, or professional services team.
• Exhibits a "player-coach" mentality with deep knowledge in the data and analytics space. You are an expert on how data products (like CDPs, data warehouses, and analytics tools) are implemented and adopted by customers.
• Is a proven cross-functional partner with a track record of successfully working with sales teams to navigate complex deals and drive revenue.
• Demonstrates expertise in communicating complex technical concepts clearly and effectively to both technical and non-technical stakeholders.
• Is skilled at prioritizing team activities and managing workload in a dynamic environment, balancing customer needs with efficiency goals.
• Is a natural mentor and developer of talent, with a passion for coaching and a history of building inclusive, high-achieving teams.
• Handles ambiguity with ease, demonstrating flexibility and a proactive, problem-solving mindset when adapting to new challenges and business priorities.
• Actively seeks feedback and is humble to learn, consistently looking for ways to improve themselves and their team.

Bonus Points

• Previous experience in management consulting, strategic operations, or a similar role focused on go-to-market strategy.
• Direct, hands-on experience with Mixpanel or other product analytics tools like Amplitude, Pendo, or Contentsquare.
• Strong familiarity with the modern data stack, including tools like Snowflake, Google BigQuery, Segment, or Hightouch.

#LI-Hybrid

About the Role

As a Manager on the Solutions Engineering team at Mixpanel, you will lead a talented group of analytics consultants who are pivotal to our success. You will be at the forefront of driving customer value, guiding your team as they serve as the primary technical resources for our Sales organization. 

This role is a unique blend of leadership, technical expertise, and business strategy. You will be responsible for coaching and developing your team, refining our technical sales processes, and collaborating across departments to ensure our customers achieve their business outcomes with Mixpanel. 

You will also play a key role in hiring, onboarding, and managing the next wave of Solutions Engineers. By fostering a culture of excellence and deep customer empathy, you will empower your team to architect innovative solutions, drive product adoption, and ultimately secure the technical win with prospects and customers. 

Responsibilities

• Develop & Mentor: Lead, coach, and grow a high-performing and inclusive team of Solutions Engineers, actively investing in their career development and upholding a high standard of performance.
• Drive Results: Partner closely with Sales leadership and Account Executives to provide technical expertise that drives new, retained, and expansion ARR. You will ensure your team's activities are directly contributing to the company's bottom line.
• Prioritize & Problem Solve: Guide your team through complex customer evaluations and technical challenges. You will manage team resources effectively, aligning the right skills to customer needs to achieve productivity targets and successful outcomes.
• Cross-Functional Partnership: Act as a key technical liaison, collaborating with peer managers across Sales, Product, and Engineering. You will gather and synthesize customer feedback from your team to influence product strategy and solve problems at scale.
• Communicate & Manage Change: Effectively translate broader company and departmental strategy into clear, actionable goals for your team. You will guide your direct reports through evolving business priorities with empathy and clarity.
• Hire the Best: Actively assess the needs of the team, build a pipeline of top talent, and hire outstanding individuals who elevate the team's capabilities and contribute to our inclusive culture.
• Innovate & Raise the Bar: Relentlessly seek to improve how your team operates, from refining demo strategies and proof-of-concept methodologies to adopting new tools and processes that increase effectiveness and celebrate success.

We’re Looking For Someone Who

• Has progressive experience in a B2B SaaS environment, including 3+ years of people management experience leading a technical pre-sales, solutions engineering, or professional services team.
• Exhibits a "player-coach" mentality with deep knowledge in the data and analytics space. You are an expert on how data products (like CDPs, data warehouses, and analytics tools) are implemented and adopted by customers.
• Is a proven cross-functional partner with a track record of successfully working with sales teams to navigate complex deals and drive revenue.
• Demonstrates expertise in communicating complex technical concepts clearly and effectively to both technical and non-technical stakeholders.
• Is skilled at prioritizing team activities and managing workload in a dynamic environment, balancing customer needs with efficiency goals.
• Is a natural mentor and developer of talent, with a passion for coaching and a history of building inclusive, high-achieving teams.
• Handles ambiguity with ease, demonstrating flexibility and a proactive, problem-solving mindset when adapting to new challenges and business priorities.
• Actively seeks feedback and is humble to learn, consistently looking for ways to improve themselves and their team.

Bonus Points

• Previous experience in management consulting, strategic operations, or a similar role focused on go-to-market strategy.
• Direct, hands-on experience with Mixpanel or other product analytics tools like Amplitude, Pendo, or Contentsquare.
• Strong familiarity with the modern data stack, including tools like Snowflake, Google BigQuery, Segment, or Hightouch.

#LI-Hybrid

Location: United States (remote)

What is Verse? 

Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world’s largest energy buyers, managing energy has never been more complex or more critical.

Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligence—replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs.

The Role

You will be a member of the technical staff designing, building, and maintaining the next generation of data platform tools, pipelines, and orchestration frameworks to support multiple teams and products across a diverse range of data at Verse. This role supports Core Engineering needs within the organization and builds on top of existing engineering foundations focused on data. As a technical leader with advanced data engineering expertise, teammates will look to you to vet proposals, solutions to internal and customer-facing problems, system designs, and drive the implementation of these solutions with highest standards of software-engineering best practices. You will be an integral part of scaling our data platform as the company grows.

Key Responsibilities

• Ensure data quality, contracts and integrity with best practices around access, governance, and federation throughout the data lifecycle
• Implement, maintain, and promote best practices and hygiene in our dataland code repository for others to follow and emulate
• Write shared libraries and reusable data tools across a variety of data flows, sources, and sinks
• Partnering closely with our Data Science and data-heavy internal teams to support various analytical and AI/ML workflows
• Foster a culture and mindset of well-designed systems, test-driven software, and proactive communication with a high degree of transparency, mutual respect, and consideration for teammates
• Participate in code reviews, maintain technical documentation, and adhere to best software development practices

What We're Looking For (Minimum Qualifications)

• Advanced software development skills in Python, Rust, Java, Scala, or similar data-oriented language ecosystems
• Deep understanding of databases, data {lake,ware}house architectures, and data pipeline solutions across heterogeneous data and workloads in cloud-native environments
• Proficiency in carefully handling large, complex data and processing them (streaming and batch) in both transactional and analytical settings
• Commitment to delivering high quality software on time or ahead of schedule while adhering to best software development practices
• Continuous obsession for staying informed on contemporary technologies, tools, libraries, services, frameworks, or breakthroughs that could benefit the team
• Discipline using generative AI tools in day-to-day work

What Will Make You Standout (Preferred Qualifications)

• Bachelor’s  or master's degree in Computer Science, Data Science, or a related field
• Senior level software development talent and up
• Proven track record being a technical leader in high-performing data engineering teams
• Intimate knowledge of scaling “big data” solutions in cloud-based environments
• Hands on experience deploying and maintaining software such as Hadoop, Spark, Airflow, DBT, Dagster, Temporal, Presto/Trino, Iceberg, AlloyDB, Postgres, HBase, BigQuery, BigTable, Fabric, Hive, RedShift, S3, GCS, etc.
• Experience building event-driven architectures with streaming tools such as Kafka, NATS, GCP Pub/Sub, Kinesis, Bufstream, Flink, Beam
• Knowledge of managed or hosted data solutions such as Databricks, Snowflake, ClickHouse, Tinybird, etc
• Practical knowledge working with data in formats like Parquet, Avro, Protobuf, time series, text, image, video
• Working closely to support AI/ML-focused teams (knowledge of MLflow and Ray is a big a plus)
• Comfort building internal dashboards and data-focused visualizations

What Makes Verse a Great Place to Work? 

• Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first
• Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders
• Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection
• Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations

Base Pay Range

$180,000 - $250,000+

This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to level, skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.

Benefits and Employee Perks 

• Competitive compensation and equity grant at a high-growth start up 
• Comprehensive benefits package including medical, dental and vision insurance, and 401k 
• Flexible hours and unlimited PTO 
• Diverse and inclusive working environment 

Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.

About Prophecy 

Prophecy is building the next generation of AI-powered Data Prep and Analytics. Our platform enables business analysts and data teams to transform raw data into reliable, production-ready datasets and insights faster, using modern data infrastructure and AI-driven capabilities. We work with leading enterprises to simplify how organizations prepare, analyze, and operationalize data, while maintaining strong governance, security, and operational control. Our mission is to make it dramatically easier for organizations to turn complex data into trusted insights that drive decisions.

Why This Role Exists

We are building an AI-native data platform that sits at the intersection of data infrastructure, analytics, and intelligent systems.

We are looking for a Senior Product Manager who operates like a builder and owner, not just a planner, but someone who:

• Thinks in terms of the full data → insights → decisions → actions lifecycle
• Uses AI tools and prototyping to explore ideas before formalizing them
• Balances deep customer understanding with strong technical intuition
• Drives products from concept to production with high ownership and velocity

You will own a product area end-to-end and play a critical role in shaping how analysts interact with data in modern enterprise environments.

What You’ll Do

Product Strategy & Ownership

• Own and evolve the roadmap for a product area over a 1–3 quarter horizon, balancing customer needs, technical investments, and business goals
• Translate product vision into clear initiatives and priorities aligned with Prophecy’s broader strategy
• Evaluate opportunities based on impact, effort, and strategic fit, making thoughtful trade-offs
• Think beyond features to systems: how do capabilities fit into the broader data and analytics ecosystem

Customer Insight & Discovery

• Develop deep understanding of analyst workflows across data preparation, transformation, and analysis
• Run continuous discovery through customer interviews, product usage data, sales and support signals, and win/loss analysis
• Frame problems clearly before jumping to solutions
• Understand enterprise constraints including governance, compliance, and operational complexity

AI-Native Product Development

• Use AI tools (LLMs, copilots, workflows) as a core part of product development, not an afterthought
• Build lightweight prototypes (prompts, workflows, internal tools) to validate ideas before writing full specifications
• Identify where AI-driven capabilities and automation can meaningfully improve user workflows
• Ensure AI features are reliable, explainable, and aligned with enterprise requirements

Product Development & Execution

• Work closely with engineering and design to deliver high-quality product capabilities
• Write clear, structured product specifications grounded in data and user insight
• Define success metrics and track adoption, impact, and effectiveness
• Monitor execution progress, identify risks early, and drive cross-team alignment
• Maintain a high bar for usability, reliability, and product integrity

Cross-Functional Leadership

• Align engineering, design, sales, and customer success around shared outcomes
• Communicate product direction through clear documentation and structured decision-making
• Resolve ambiguity and misalignment quickly to maintain execution momentum
• Contribute to product positioning and narrative through artifacts such as one-pagers, demos, and customer-facing materials

Operational Ownership

• Own the operational health of your product area, including performance monitoring, feature adoption, issue triage, and iteration cycles
• Establish and improve repeatable processes that increase execution speed and predictability

Who You Are

Required

• 5+ years of product management experience in data platforms, analytics products, developer tools, or enterprise software
• Strong understanding of data preparation, analytics workflows, and modern data infrastructure
• Experience working closely with engineering teams to deliver technical products
• Hands-on familiarity with AI-powered products or intelligent systems
• Ability to translate complex problems into clear, actionable product specifications
• Experience working with APIs, SDKs, CLIs, or other developer-facing systems
• Strong written and verbal communication skills

Preferred

• Experience operating in a high-growth startup environment (Series A–C)
• Comfortable using AI tools (LLMs, copilots) to accelerate your own workflow and product thinking
• Ability to prototype ideas, e.g. prompts, workflows, lightweight tools to validate concepts quickly
• Familiarity with technologies such as Spark, SQL, data warehouses, ETL/ELT pipelines, or orchestration systems
• Experience working with enterprise customers and complex data environments
• Ability to interpret product analytics and customer signals to guide decisions

Strongly Preferred

• Experience shipping AI/ML-powered capabilities in data or analytics products
• Deep familiarity with the modern data ecosystem, e.g. Snowflake, Databricks, BigQuery
• Experience building products for regulated industries, e.g. finance, healthcare, pharma with requirements around governance, lineage, and compliance
• Experience navigating enterprise sales cycles and deployment constraints

How You Work

• You operate with a sense of end-to-end ownership and accountability
• You are comfortable with ambiguity and move quickly to create clarity
• You combine product intuition with data-driven decision making
• You use tools including AI to increase leverage and speed
• You care deeply about building products that deliver real, measurable outcomes for customers

Seniority: Mid to Staff Level

Location: This is a Hybrid role with 2-3 days a week in office. However, this can vary week to week. 

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to achievements, skills, experience, or work location. The range listed is just one component of the compensation package offered to candidates. 

Benefits and Perks

• Prophecy covers 99% of employee health insurance premiums and 75% for dependents
• We offer $200 per month towards remote work, wellness, gyms, massages, facials, and more!
• Flexible PTO
• Professional development allowance
• Company sponsored Long Term Disability and Life Insurance, FSA/HSA, dental, vision, and more
• Ability to have your fingerprint on an innovative platform
• End-to-end ownership of your projects. 

*Benefits and perks may vary per country

Prophecy is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, age, disability, or veteran status.

About the role

The Research Data Platform team builds the tools that Anthropic's researchers use every day to manage, query, and analyze the data that goes into training and evaluating frontier models. We power the internal applications researchers rely on to monitor RL runs, explore finetuning datasets, and understand what's happening inside their experiments.

We're looking for engineers who love working directly with users and who excel at building data products — the pipelines that move data out of training runs into queryable storage, and the APIs, libraries, and services researchers use to manage and explore it. This role sits closer to the research workflow than a typical data infrastructure position: you'll often embed with research teams, build ML-specific tooling alongside them, and leverage what our Data Infrastructure team has already built rather than reinventing it.

We do not require prior ML or AI training experience. If you enjoy working closely with technical users, learning new domains quickly, and building tools people actually want to use, you'll pick up the research context fast.

Responsibilities

• Build and operate data pipelines that extract data from research training runs and land it in storage systems that are easy and fast to query
• Work closely with researchers to design and build APIs, libraries, and web interfaces that support data management, exploration, and analysis
• Develop dataset management, data cataloging, and provenance tooling that researchers use in their day-to-day work
• Embed with research teams to understand their workflows, identify high-leverage tooling opportunities, and ship solutions quickly
• Collaborate with adjacent teams to build on existing systems rather than reinventing them

You may be a good fit if you

• Have significant software engineering experience, particularly building data-intensive applications or internal tooling
• Enjoy working directly with users, gathering requirements iteratively, and shipping things that get adopted
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Want to learn more about machine learning research
• Care about the societal impacts of your work

Strong candidates may also have experience with

• Large-scale ETL, columnar storage formats, and query engines (e.g., Spark, BigQuery, DuckDB, Parquet)
• High-volume time series data — ingestion, storage, and efficient querying
• Data cataloging, lineage, or metadata management systems
• ML experiment tracking or metrics platforms
• Working in environments where engineers partner closely with quantitative users — research labs, trading firms, observability or analytics startups
• Complex data visualization and full-stack web application development

About the role:

Anthropic’s Finance Systems team builds and owns the infrastructure that powers our quote-to-cash lifecycle—from pricing and billing through revenue recognition and financial close. As our revenue model grows in complexity, the team is moving beyond configuring off-the-shelf platforms and into building homegrown, production-grade financial applications that no vendor has built for us yet.

We are seeking a Finance Systems Engineer to join our Finance Systems team in San Francisco. In this hands-on engineering role, you will both configure and extend the third-party platforms that run our financial operations including Zuora, Stripe, and Tesorio and design, build, and own full-stack applications and integrations that sit on top of them. You will write production Python, Node.js, and React code, author Workato recipes and API integrations across our SaaS stack, administer and tune the systems themselves, and ship working software—not manage vendors or write requirements documents. You will work at the intersection of software engineering and finance, building and configuring the tools that allow our Accounting, Revenue Operations, and Order Management teams to operate efficiently, accurately, and in compliance with SOX and ASC 606 requirements.

The first thing you will inherit is our homegrown ledger application and the integrations that connect it to Workday, NetSuite, Zuora, Stripe, Tesorio, and Salesforce. From there, you will help us build the next generation of Finance tooling: self-serve workflows, automated reconciliation, and the operational surfaces that let Finance move at the speed the business demands. If you thrive in fast-paced environments and enjoy building scalable financial infrastructure from the ground up, come join us in our mission to build safe, transformative AI.

Responsibilities:

• Own the architecture, development, and maintenance of Anthropic's internal finance applications, and own the configuration and ongoing administration of third-party platforms such as Zuora, Workday, and Tesorio

• Build and maintain integrations across the Finance systems stack: Zuora, Stripe, Workday, NetSuite, Salesforce, Tesorio, BigQuery and Billing applications

• Design system integrations that are auditable, observable, and recoverable—with the rigor that SOX compliance demands

• Identify manual, error-prone workflows in the month-end close and automate them with tested, production-grade solutions

• Partner with Accounting, Revenue Operations, and Order Management teams to translate business requirements into scalable technical designs—and then build them yourself

• Develop and maintain technical documentation, data flow diagrams, and runbooks so the team can operate systems without engineering dependency

• Contribute to continuous delivery infrastructure so Finance systems can ship reliably and frequently

• Instrument the Finance systems stack with observability tooling so the team knows when a pipeline breaks before the accountants do

• Become the go-to domain expert for one or more areas of the revenue systems stack within your first six months

You may be a good fit if you:

• Have 7+ years of engineering experience and are comfortable owning full-stack builds from architecture through production deployment

• Are proficient in Python and JavaScript/Node.js; React experience is a strong plus

• Have experience building and maintaining system integrations—REST APIs, event-driven pipelines, or ETL workflows—in a production environment

• Have worked with BigQuery, Postgres, or similar data platforms and are comfortable writing SQL for analysis, debugging, and reconciliation

• Bring enough business context to ask the right questions when a Finance stakeholder explains a problem—you don’t need to be an accountant, but you need to care about getting it right

• Are comfortable working directly in systems—configuring, troubleshooting, and building solutions yourself rather than solely managing vendors

• Thrive in environments where the problem is ambiguous and the solution needs to be built from scratch

• Are energized by working close to the business—you want to see the impact of your code, not just ship features

Strong candidates may also:

• Have experience with Workato, MuleSoft, or similar iPaaS platforms for enterprise system integration

• Have worked with Zuora, CPQ, NetSuite, Workday, or Stripe in a technical capacity

• Have built SOX-compliant systems or supported an external audit related to financial systems

• Have deep understanding with ASC 606 revenue recognition or consumption-based billing models

• Be a power user of Claude Code or similar AI-assisted development tools

• Have experience at a high-growth technology company navigating system consolidation

• Have object-oriented programming experience in Java or similar languages if Python/Node.js experience is limited

About The Role

As our Staff Data Engineer, you will own and evolve the foundational data systems that power NexHealth’s analytics and unlock the next generation of customer-facing insights. This is a hands-on, high-ownership role that combines architectural influence with deep execution. We need to expand our data capabilities for scale and improve our daily operations and enable self-service. You will drive the transformation of our data infrastructure.

You will design data pipelines, refactor the warehouse architecture, and lay down the modeling foundations that enable trusted analytics across the company. This work directly supports our mission to become the API for healthcare. With access to a rich and growing corpus of medical data, you will help NexHealth become a leader in data strategy, intelligence, and customer enablement.

This role is ideal for a Staff-level engineer who has seen and built great data platforms, is not afraid of legacy, and thrives in environments where the vision is clear, the systems are evolving, and the company is depending on data to unlock its next stage of growth.

What You’ll Do

• Own the Data Platform
  • Lead the architectural evolution of our data warehouse, modeling layer, and pipeline structure
  • Refactor core data models to support fast, self-serve access and shared understanding across teams
  • Build reliable ingestion and transformation systems that abstract over messy or fragmented inputs
  • Take responsibility for the structure, reliability, and extensibility of our warehouse and modeling layers
  • Replace brittle vendor-based pipelines with scalable, maintainable ingestion and transformation infrastructure
  • Build in observability, alerting, and validation to ensure the platform can scale with confidence
• Drive Strategic Data Initiatives
  • Collaborate closely with Staff-level analysts, engineers, and data consumers to unblock their workflows and enable data insights.
  • Partner with software engineers to anticipate and manage upstream schema changes and database shifts
  • Define and enforce clear data contracts and interface boundaries
  • Shape how the company can eventually leverage data science, customer segmentation, and industry-wide insights

What You’ll Bring

• 7+ years of experience in data engineering or software engineering with a focus on building scalable, well-tested systems
• Advanced fluency in SQL and Python with strong instincts around modular modeling, optimization, and abstraction
• Experience building on top of a modern managed data warehouse such as Snowflake, BigQuery, or Redshift
• Proven history of taking ambiguous, fragmented data systems and turning them into reliable, documented, high-trust platforms
• Ability to operate independently at a Staff level with a high sense of ownership
• A background in strong engineering cultures or top-tier product environments where quality, velocity, and ownership coexist
• Passion for clarity, simplicity, and helping teams move faster without cutting corners

P-1011

Job Location: San Francisco Bay Area, CA 

As a Sr. Staff Technical Solutions Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialized support and tailored technical solutions for Databricks' largest and most strategic customers in the Digital Native Business (DNB) segment. In this customer-facing role, you will leverage your technical expertise in Apache Spark™ and other data technologies to triage and resolve complex product issues and unblock our customers’ most critical technical challenges. 

The Impact You Will Have

• Perform advanced Troubleshooting and Root Cause Analysis to resolve performance and reliability issues in Spark, SQL, Delta, Streaming, and Databricks runtime features using tools like Spark UI metrics, Mosaic AI Model Service, DAGs, and event logs.
• Discover requirements for continuous monitoring to detect early performance issues working with R&D and NOC teams to optimize the DNB customer environments. 
• Build Rapid POCs, Test/Deploy/Monitor the solutions built by Databricks Engineering to address customer challenges and showcase advanced Spark/ML/AI runtime capabilities aligned with their business goals.
• Develop comprehensive playbooks and maintain a knowledge base of common issues and solutions for Spark, ML, and AI workflows.
• Train customer engineering and business teams on best practices in performance tuning, debugging, and effectively leveraging Databricks Features.
• Pilot new best practices processes/ programs, champion process improvements, and collaborate with cross-functional teams to enhance the customer experience.
• Advocate for customers in business review meetings and maintain close relationships as a trusted advisor and primary technical point of contact.
• Collaborate onsite with Field Engineering, Sales, and Product teams during customer engagements and technical presentations to provide rapid solutions to production-impacting issues, demonstrating deep technical expertise and building strong customer trust.

What We Look For

• Technical Expertise in Big Data and Spark: 8–12 years of experience designing, building, and troubleshooting distributed computing applications, with 4+ years delivering production-scale Spark/ML/AI solutions using Python, Java, or Scala.
• Data Engineering Specialization: Hands-on expertise with Data Lakes, SQL-based databases, and Cloud-based Data Warehousing/ETL tools like Snowflake, Redshift, Bigquery, etc
• Advanced Tech Skills: Deep knowledge of Spark core internals, Delta/Iceberg, JVM optimization, and memory management, with additional proficiency in AI ecosystems like Machine Learning, Deep Learning, and Generative AI.
• Cloud and CI/CD Skills: Practical experience with AWS, Azure, or GCP, coupled with expertise in building and managing CI/CD pipelines, monitoring, and alerting systems.
• Customer-Facing Experience: 3–5 years in customer-facing roles such as Technical Account Manager or Solutions Architect, demonstrating strong communication, relationship-building, and problem-solving skills.
• Advanced Proactive Problem Solving Skills: Proven ability to anticipate, identify, and mitigate risks while planning solutions for production challenges. Effectively use sound business judgment, risk avoidance and subject matter expert resources to coordinate team efforts to solve problems. 
• Collaboration and Leadership: Proven ability to work with cross-functional teams and senior leadership to address roadblocks, mitigate risks, and drive customer success while creating impactful documentation for self-service solutions.

We are not able to provide visa sponsorship (including H-1B, OPT, or other employment-based visas) for this position. Candidates must be legally authorized to work in the United States without employer sponsorship now or in the future. 

About the Role

Machine Learning is a cornerstone at Taskrabbit, and we're looking for a seasoned Senior Machine Learning Engineer to join our team and help shape the future of ML/AI at Taskrabbit. This is a unique, full-stack role for an individual who is passionate about the entire machine learning lifecycle—from initial research and model development to building the robust infrastructure required to deploy and scale your work.

As a Senior Machine Learning Engineer, you will tackle exciting challenges that directly impact how people discover and connect with home services on the Taskrabbit platform. You will play a crucial role in advancing our capabilities in areas like search ranking, content discovery, and recommender systems. You will collaborate closely with data scientists and other engineers to design and implement novel algorithms, and you will partner with software engineers to ensure the scalability, reliability, and optimization of our models in production.

What You'll Work On:

• Model Development & Research: Research, design, and implement machine learning models to solve key business problems in areas like search ranking, recommendations, and content discovery.
• End-to-End ML Lifecycle: Own the entire lifecycle of ML models, including feature engineering, training, evaluation, deployment, and monitoring.
• Infrastructure & Scalability: Build scalable and reliable ML infrastructure and data pipelines that support reproducible feature engineering and machine learning model deployment in real-time, near real-time, and batch processes.
• Performance & Quality: Build monitoring services to understand data quality and model performance of complex systems, and collaborate with engineering and science teams to optimize existing algorithms for training and evaluation.
• Software Engineering Excellence: Independently solve complex problems, write clean, efficient, and sustainable code, and actively participate in code reviews, documentation, and the full software engineering lifecycle.

Your Areas of Expertise:

We welcome applicants from a variety of backgrounds and experiences. Below gives you a sense of how we're thinking about what you'll need to be successful in the role.

• BS, MS, or PhD in Computer Science, Statistics, Operations Research, or a related quantitative field.
• 3+ years of industry experience building and deploying high-quality, production-grade machine learning models and systems.
• Strong theoretical knowledge and hands-on experience in machine learning, particularly in areas like search, ranking, recommender systems, or NLP.
• Solid software engineering skills with proficiency in one or more programming languages, including Python.​​  The candidate should have experience with popular ML libraries like Scikit-learn, lightgbm, xgboost, TensorFlow, PyTorch, etc.
• Proficiency in SQL is also required for writing complex queries and transforming data.
• Experience building REST API-based services.
• Experience with modern data and ML technologies, such as Docker, Kubernetes, Kafka, Airflow, data warehouses (eg snowflake, redshift or BigQuery), and data lakes.  
• Familiarity with dbt (Data Build Tool) is a plus for transforming and testing data.
• Familiarity with tools for Infrastructure as Code, such as Terraform, and CI/CD pipelines.
• Excellent communication skills, with the ability to present complex findings and recommendations clearly to both technical and non-technical audiences.
• A passion for quickly learning new technologies and a drive to solve challenging problems.

Compensation & Benefits: 

At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $150,000 - $200,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.

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.

About the Role

We are seeking an experienced Senior Data Architect as part of our unified data mesh platform.  Reporting to the Sr. Director of Data Management, this role will be responsible for setting the data foundations and models for our Data Products to accelerate our business growth, deepen our product and membership understanding, and optimize our business operations.

We are looking for a Data Architect/Modeler with deep expertise in modern cloud architectures and the Data Mesh approach. You will be responsible for designing the structural foundations of our data products, ensuring they are interoperable, scalable, and trustworthy. You will bridge the gap between complex business requirements and high-performance technical design, acting as the primary blueprint designer for our global data lifecycle.

What You Will Do

• Architect & Model: Design and manage data domains to enable the creation of interoperable, trustworthy data products.
• Cloud Infrastructure: Build and optimize Oura’s Data Lakehouse leveraging Databricks, Google Big Query, and Snowflake to process Terabyte-Petabyte scale data.
• Data Mesh Governance: Implement federated data governance within the data mesh to ensure processes meet privacy, compliance (HIPAA/PHI), and security requirements.
• Collaborate: Partner with Data Engineering, Data Science, and Business Domain owners to advocate for unified analytics and modeling best practices.
• AI Readiness: Design vector-based data architectures and Retrieval Augmented Generation (RAG) patterns to enable LLM reporting and Agentic AI.
• Standardization: Establish scalable data management frameworks and a governed data dictionary to enable organizational self-service.

What You Have

Experience: 8+ years of experience in data architecture or modeling, with a strong technical foundation in cloud-based platforms (AWS, GCP, Databricks or Azure).

Based on the provided job description and industry standards for modern data ecosystems, the following skillsets are required for a Data Architect focusing on Data Lakes, Enterprise Data Warehouses (EDW), and Advanced Analytics:

Cloud Platform & Infrastructure Mastery

• Multi-Cloud Expertise: Hands-on expertise in major cloud platforms including AWS (S3, Kinesis, Glue, Athena), GCP (BigQuery, VertexAI), or Azure.
• Modern Data Warehousing: Proficiency in designing and managing cloud-native warehouses like Snowflake or Google BigQuery.
• Lakehouse Architecture: Ability to build and operate a Unified Global Lakehouse that merges the flexibility of a data lake with the management of a warehouse.
• Containerization & Workflows: Experience with Docker, Pulumi and various workflow engines to manage complex data processing tasks.

Data Modeling & Strategy

• Data Mesh Principles: Familiarity with the Data Mesh approach, specifically managing federated data governance and decentralized data ownership.
• Lifecycle Management: Capability to lead the entire data lifecycle, from initial data definition to final delivery and consumption.
• Standardization: Expertise in Master Data Management (MDM) and Reference Data Management (RDM) to ensure consistency across the enterprise.
• Schema Design: Proficiency in using modern formats like Iceberg and transformation tools like dbt to maintain high-quality data structures including dbt Cloud on Databricks for SQL-based modeling (bronze/silver/gold)

Advanced Analytics & AI Readiness

• AI/ML Integration: Experience with production-quality AI/ML and predictive modeling, leveraging platforms like VertexAI and MLOps frameworks.
• LLM & NLP Design: Skill in designing architectures for Large Language Models (LLM) using Retrieval Augmented Generation (RAG) and vector-based data designs.
• Automated Insights: Ability to design systems for predictive analytics, anomaly detection, and automated reporting.
• Agentic AI: Familiarity with Agentic AI to deliver interactive, intelligent dashboards and self-serve capabilities.

Governance, Security & Compliance

• Data Residency: Knowledge of global data residency requirements and privacy standards.
• Regulatory Standards: Expertise in establishing HIPAA and PHI (Protected Health Information) standards within regulated environments.
• Quality Assurance: Championing best practices for data accuracy, reliability, and trustworthiness through rigorous validation and peer review.

Technical Foundations & Tools

• Programming & Processing: Broad knowledge of software fundamentals and stream processing using Kafka, Kinesis, Python, Spark and SQL.
• Integration/Integration: Expertise in integrating diverse data sources, including transactional, product, and compliance data into a centralized function using tools such as dbt, fivetran
• Orchestration: job and task automation and scheduler design using tools such as Airflow, Dagster, dbt, Databricks Lakeflow
• Observability: Design for high availability and performance bottlenecks including long running high cost tasks.
• Distributed processing: Spark (via Databricks) for large-scale ETL/ML. 

Nice to Have

• Experience in the healthcare, wellness, consumer electronics, wearables, digital health, or subscription services industries.
• Broad knowledge of software fundamentals, databases, warehouses, and system design with experience on various programming languages
• Experience streamlining multiple data pipelines into a centralized function that allows effective and efficient oversight of business processes and product development; expertise in integrating diverse data sources, including product, transactional, and compliance data
• Embedded analytics into product, finance, sales, marketing, business operations, and customer experience 
• Ability to navigate hypergrowth while managing regulatory constraints 
• Strong technical foundation, demonstrated through education or early-career hands-on roles 
• Experience with production-quality AI/ML, predictive modeling, and leveraging analytics tools like VertexAI, MLOps, MLFlow, dbt, Microstrategy, Tableau, and Power BI, Thoughtspot 
• Experience leading the development of a robust and scalable data platform that can support the organization’s growing data needs with cost tiering
• Advanced degree in Engineering, Data Science, Statistics, Computer Science, or a related field is preferred 

Benefits 

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1 $172,550 - $203,000

A recruiter can determine your zones/tiers based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI)

About the Role

You.com is a search platform serving millions of queries across consumer and enterprise products. That scale generates a lot of data: search quality signals, API usage logs, click behavior, billing events, and user engagement across the product. This role is responsible for building the analytics infrastructure that makes all of it useful.

You’ll own the dbt layer that transforms raw search logs, API events, and revenue data into clean, governed models. You’ll also build the dashboards that teams rely on to understand search performance, product engagement, and business health. Strong technical depth and strong visual judgment are both expected.

You’ll work closely with Finance, GTM, Product, and Engineering to define metrics, agree on how success is measured, and build the self-service infrastructure that reduces the analytics backlog for everyone.

Responsibilities

Data Modeling & Infrastructure

• Design and build core data models covering product usage, revenue, GTM performance, API consumption, and cost data
• Own the dbt project: architecture, documentation, testing, and CI/CD
• Build and maintain pipelines from source systems (Salesforce, billing, product events, API logs) into clean analytics layers
• Define and enforce modeling standards, naming conventions, and governance practices that hold up as the company scales
• Partner with Data and Backend Engineering to instrument key events and maintain data quality upstream

Dashboards & Reporting

• Build dashboards that give leadership and cross-functional teams clear, real-time visibility into business health
• Develop reporting across GTM, finance, product, and customer success
• Create self-service analytics that allow teams to answer their own questions without a backlog request
• Translate complex, multi-source analyses into clean outputs for executive audiences

Cross-Functional Partnership

• Partner with Finance on revenue accounting, COGS, and margin reporting
• Collaborate with GTM and Sales leaders on seller productivity, pipeline health, and marketing ROI dashboards
• Work with Product to define and track north-star metrics, funnel performance, and user behavior
• Serve as a trusted partner when teams need to agree on how something is measured

Data Quality & Governance

• Implement data quality monitoring so issues are caught before they reach stakeholders
• Maintain a documented data catalog that makes the warehouse accessible and understandable across the company
• Design reporting systems that support financial and operational audit requirements

Qualifications

• 5+ years of experience in analytics engineering, data engineering, or senior-level data analysis at a fast-growing company
• Strong, production-grade SQL skills; complex queries should be second nature
• Hands-on experience with dbt (Core or Cloud), including project structure, testing, and documentation
• Experience with a modern cloud data warehouse: Snowflake, BigQuery, or Redshift
• Demonstrated ability to build polished dashboards and reports in Looker, Tableau, or a comparable BI tool
• Experience building data models across GTM, finance, or product analytics domains
• Comfortable with Python for data transformation, scripting, or pipeline work
• Strong communication skills with the ability to present clearly to senior stakeholders and simplify complex analyses
• Bonus: experience at an AI-native company, familiarity with LLM-assisted analytics workflows, or prior work with usage-based or API-driven billing data

Staff Architect  

Role Overview 

We’re looking for a Staff Architect to lead architecture and technical delivery for a major domain within 6sense’s Revenue Intelligence platform (e.g., real-time signals ingestion & processing, ML inference/serving, multi-tenant data isolation, or GTM integrations & activation). 

This is a senior individual contributor role focused on high-leverage system design + execution leadership: driving architecture for complex initiatives, partnering closely with engineering and product leaders, and ensuring solutions are scalable, resilient, secure, and operable. You will be hands-on where it matters—through reference implementations, prototypes, and deep technical guidance that helps teams ship. 

Key Responsibilities 

Domain Architecture Ownership 

• Own the architecture for a core domain of the platform, ensuring it meets scalability, reliability, security, and performance requirements. 

• Drive end-to-end design for cross-service initiatives: clarify requirements, propose options, lead tradeoffs, and align stakeholders. 

• Produce high-quality design artifacts (HLDs, LLDs, data flow diagrams, API contracts) and lead design reviews. 

Delivery Enablement (Hands-on Leadership) 

• Provide hands-on technical leadership through reference implementations, prototypes/POCs, and critical-path contributions when needed. 

• Partner with engineering teams to translate architecture into executable plans (milestones, risks, dependencies, rollout strategy). 

• Help teams build “operable” systems: instrumentation, alerting, runbooks, dashboards, and failure-mode thinking. 

Data & Signal Processing (if domain-aligned) 

• Lead architecture for ingestion/enrichment pipelines handling large-scale behavioral events and third-party data. 

• Drive improvements to data quality, lineage, observability, and freshness SLAs. 

AI/ML Serving (if domain-aligned) 

• Guide architecture for feature pipelines and inference serving (batch and online), model monitoring, experimentation, and safe rollouts. 

• Partner with data science and ML engineering to productionize reliable, scalable ML systems. 

Multi-Tenant & Platform Foundations (if domain-aligned) 

• Drive patterns for tenant isolation, tenant-aware configuration, partitioning strategy, and scalable onboarding. 

• Identify and mitigate risks around compliance, data integrity, and access control. 

Integration & Activation  

• Lead architecture for integrations with CRM/MAP/GTM tools (Salesforce, HubSpot, Marketo, Outreach, etc.). 

• Establish patterns for reliable data activation (idempotency, retries, backfills, versioning, and extensibility). 

Engineering Excellence & Mentorship 

• Raise the bar through design reviews, technical mentorship, and knowledge-sharing. 

• Contribute to architecture standards and reusable patterns; participate in architecture forums/councils. 

• Identify architectural risks early and drive mitigation plans. 

 Required Qualifications 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 

• 8+ years in software engineering with significant focus on distributed systems and system design   

• Demonstrated experience designing and delivering data-intensive, distributed, cloud-based systems. 

• Strong understanding of:  

• Distributed systems, reliability, scalability, fault tolerance 

• Microservices/event-driven architectures 

• API design, data modeling, integration patterns 

• Observability and operability (metrics/logging/tracing, incident learnings) 

• Experience with a major cloud platform (AWS, GCP, or Azure). 

• Ability to influence across teams through clear communication, strong design rationale, and pragmatic decision-making. 

 Preferred Qualifications 

• Experience in B2B SaaS, MarTech/AdTech/Revenue Tech, or similar data-heavy product environments. 

• Experience with streaming/batch data systems (Kafka/Flink/Spark or equivalents). 

• Familiarity with OLAP/analytics stores (ClickHouse/Redshift/BigQuery/Druid/Trino, etc.). 

• Familiarity with ML platform concepts (feature pipelines, inference patterns, monitoring), even if not a full-time ML practitioner. 

• Experience designing multi-tenant data and service architectures. 

What Success Looks Like 

• A well-defined domain architecture that enables teams to ship confidently and operate reliably in production. 

• Reduced latency/freshness gaps, improved reliability/SLOs, and improved cost-to-serve within your domain. 

• Faster onboarding of new data sources/integrations or faster rollout of new AI-driven capabilities (depending on domain). 

• Strong cross-team alignment, fewer architectural surprises, and smoother delivery of major initiatives. 

 Why 6sense 

You’ll work on systems that directly shape how B2B revenue teams find and win customers—at massive data scale, with real-time signals, ML-driven predictions, and deep integrations across the GTM stack. 

Base Salary Range: $209,496.00 - $307,260.80. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote

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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.

About Highnote 

Founded in 2020 by a team of leaders from Braintree, PayPal, and Lending Club, Highnote is an embedded finance company that sets the standard in modern card platform management. As an all-in-one card issuer processor and program management platform, we provide digital-first organizations with the flexibility to seamlessly issue and process payment cards, embed virtual and physical card payments, and integrate ledger and wallet functionalities—empowering businesses to drive growth and profitability.

We’ve raised $145M+ and have grown our team to 140+ employees. Headquartered in San Francisco, we’ve managed to build one of the most advanced payments teams in the industry, with team members in 25+ US states. 

Operating through our core values of customer obsession, executional excellence, intentional inclusion, we’re helping businesses grow for the future by creating the payment products demanded by tomorrow, with the ability to solve for use cases that don’t exist yet.

We are fast-moving, hands-on, and strongly believe everyone deserves a seat at the table. We believe we’re unlocking incredible opportunities that can change the future of payments, as long as we have the right people to make it happen.

Job Description

Core Services Team is responsible for building common application services and libraries, supporting application tooling needs and helping ensure the reliability, scalability and quality of the products.

What you’ll be doing

• Building secure and compliant platform products that solve customer needs
• Writing high quality and robustly tested code, mostly in Java
• Understanding customer problems to build the right solutions
• Documenting your work to support our rapidly-scaling company
• Interfacing with a variety of the company’s domains to strengthen our platform

What we are looking for

• 12+ years experience building production software systems
• A history of writing scalable, performant and maintainable code. We strongly believe languages can be learned and care more about your engineering skill over frameworks
• Experience building out common platform libraries such as logging, configuration, encryption, async etc
• Experience with Java, Spring Boot/Spring Framework, GCP services, and understanding of OAuth
• Proficiency using AI-powered development tools (e.g., Claude Code) across the full software development lifecycle - including design, prototyping, development, testing, and iteration. A demonstrated passion for AI-driven development, a commitment to continuously advancing AI skills, and a drive to push the boundaries of productivity and engineering outcomes.

Bonus skills

• Agentic AI experience
• Experience with cloud platforms such as GCP or AWS
• Experience with Spring Boot, Docker, and Kubernetes
• Knowledge of gRCP and Protobuf
• Experience with distributed event system
• Experience with software security
• Experience with big data technologies such as BigQuery and RedShift
• Experience with building data pipelines for search platform
• A background in the fintech space

Why Highnote?

• We’re a startup that allows for our employees to truly build from the ground up and impact every layer of our organization. 
• We’re a team of payments obsessed individuals. While some of us come from the fintech world, some of us don’t. We value the varied backgrounds and the diverse perspectives of our employees. 
• We’re small on hierarchy and big on growth. We’re a flat organization that allows everyone to have direct exposure to our leadership team. We are looking for builders who thrive in ambiguity. 
• We’re backed by Oak HC/FT, Costanoa Ventures, Adams Street Partners, Westcap, and Pinegrove Venture Partners. Angel Investors include Bill Ready (CEO at Pinterest) and Renaud Laplanche (Co-Founder & CEO of Upgrade).

Highnote benefits

• Flexible Paid Time Off
• 100% healthcare coverage + 75% coverage for dependents
• 401k program
• Paid Parental Leave: Up to 16 weeks paid leave for the birth parent, and up to 6 weeks paid leave for the non-birth parent
• Equity in Highnote
• Stipend to build out your home office; internet reimbursement
• At Highnote we have built a total rewards philosophy that includes fair, equitable, geo-based compensation that is performance and potential based. Our compensation packages are competitive based on robust market research and are a combination of a cash salary, equity, and benefits. In compliance with the Equal Pay for Equal Work Act, the annual salary range for applicants is $170,000-$230,000.

Please note that positions located in San Francisco are hybrid and include core working days of Monday, Tuesday, Wednesday, Thursday in office.  We provide flexible work options based on distance from our downtown SF office. Highnote believes in the power of face-to-face, personal connection. As a result, we prioritize in-person candidates.

Highnote is a diverse and inclusive company committed to growing a diverse and inclusive team. We invite people from all backgrounds and identities to apply. We do not discriminate based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other characteristics protected by US federal state or local laws, or the laws of the country or jurisdiction where you work. Additionally, we encourage everyone to share which pronouns you wish for us to use when addressing you (i.e.: she/her, he/him, they/them, etc).

About Highnote 

Founded in 2020 by a team of leaders from Braintree, PayPal, and Lending Club, Highnote is an embedded finance company that sets the standard in modern card platform management. As an all-in-one card issuer processor and program management platform, we provide digital-first organizations with the flexibility to seamlessly issue and process payment cards, embed virtual and physical card payments, and integrate ledger and wallet functionalities—empowering businesses to drive growth and profitability.

We’ve raised $145M+ and have grown our team to 140+ employees. Headquartered in San Francisco, we’ve managed to build one of the most advanced payments teams in the industry, with team members in 25+ US states. 

Operating through our core values of customer obsession, executional excellence, intentional inclusion, we’re helping businesses grow for the future by creating the payment products demanded by tomorrow, with the ability to solve for use cases that don’t exist yet.

We are fast-moving, hands-on, and strongly believe everyone deserves a seat at the table. We believe we’re unlocking incredible opportunities that can change the future of payments, as long as we have the right people to make it happen.

The Opportunity 

Highnote connects merchants and businesses to the most advanced virtual payments platform, and we are just getting started. Our mission is to help merchants and businesses grow by accelerating their digital transformation with innovative virtual payment products. Our infrastructure will be across multiple continents over the next few years to support the ever growing business needs. The core infrastructure team owns the management of GCP, AWS, and various third party cloud services, including all of compute, storage, networking, container orchestration frameworks, and infrastructure pipeline. You will work in a highly collaborative and fast-changing environment, and play a key role in elevating the organization in every aspect of security, stability, and performance of our services.

What you’ll be doing:

• Collaborate with other teams to build an infrastructure as a platform that is secure, stable, cost-effective, and most importantly, empowers teams to iterate fast
• Building and maintaining our cloud infrastructure stack and CI/CD pipelines
• Design and implement monitoring and alerting for the infrastructure

What we are looking for:

• 8+ years of experience in infrastructure engineering or software engineering
• Strong experience working with GCP or AWS
• Experience with Kubernetes and/or Istio
• Experience with one or more scripting/programming languages, preferably Java/Python
• Ability to work autonomously in a fast-paced and cross-functional environment
• Strong skills in troubleshooting issues in a highly distributed environment
• Proficiency using AI-powered development tools (e.g., Claude Code) across the full software development lifecycle - including design, prototyping, development, testing, and iteration. A demonstrated passion for AI-driven development, a commitment to continuously advancing AI skills, and a drive to push the boundaries of productivity and engineering outcomes.

Bonus Skills:

• Experience in the financial payments technology space
• Expertise in Cloud networking
• Experience with GCP technologies, such as Spanner, BigQuery, Dataflow, Pub/Sub, etc
• Experience in building large-scale, distributed systems

Why Highnote?

• We’re a startup that allows for our employees to truly build from the ground up and impact every layer of our organization. 
• We’re a team of payments obsessed individuals. While some of us come from the fintech world, some of us don’t. We value the varied backgrounds and the diverse perspectives of our employees. 
• We’re small on hierarchy and big on growth. We’re a flat organization that allows everyone to have direct exposure to our leadership team. We are looking for builders who thrive in ambiguity. 
• We’re backed by Oak HC/FT, Costanoa Ventures, Adams Street Partners, Westcap, and Pinegrove Venture Partners. Angel Investors include Bill Ready (CEO at Pinterest) and Renaud Laplanche (Co-Founder & CEO of Upgrade).

Highnote benefits

• Flexible Paid Time Off
• 100% healthcare coverage + 75% coverage for dependents
• 401k program
• Paid Parental Leave: Up to 16 weeks paid leave for the birth parent, and up to 6 weeks paid leave for the non-birth parent
• Equity in Highnote
• Stipend to build out your home office; internet reimbursement
• At Highnote we have built a total rewards philosophy that includes fair, equitable, geo-based compensation that is performance and potential based. Our compensation packages are competitive based on robust market research and are a combination of a cash salary, equity, and benefits. In compliance with the Equal Pay for Equal Work Act, the annual salary range for applicants is $170,000-$230,000.

Please note that positions located in San Francisco are hybrid and include core working days of Monday, Tuesday, Wednesday, Thursday in office.  We provide flexible work options based on distance from our downtown SF office. Highnote believes in the power of face-to-face, personal connection. As a result, we prioritize in-person candidates.

Highnote is a diverse and inclusive company committed to growing a diverse and inclusive team. We invite people from all backgrounds and identities to apply. We do not discriminate based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other characteristics protected by US federal state or local laws, or the laws of the country or jurisdiction where you work. Additionally, we encourage everyone to share which pronouns you wish for us to use when addressing you (i.e.: she/her, he/him, they/them, etc).

About Highnote 

Founded in 2020 by a team of leaders from Braintree, PayPal, and Lending Club, Highnote is an embedded finance company that sets the standard in modern card platform management. As an all-in-one card issuer processor and program management platform, we provide digital-first organizations with the flexibility to seamlessly issue and process payment cards, embed virtual and physical card payments, and integrate ledger and wallet functionalities—empowering businesses to drive growth and profitability.

We’ve raised $145M+ and have grown our team to 140+ employees. Headquartered in San Francisco, we’ve managed to build one of the most advanced payments teams in the industry, with team members in 25+ US states. 

Operating through our core values of customer obsession, executional excellence, intentional inclusion, we’re helping businesses grow for the future by creating the payment products demanded by tomorrow, with the ability to solve for use cases that don’t exist yet.

We are fast-moving, hands-on, and strongly believe everyone deserves a seat at the table. We believe we’re unlocking incredible opportunities that can change the future of payments, as long as we have the right people to make it happen.

The Opportunity 

Highnote connects merchants and businesses to the most advanced virtual payments platform, and we are just getting started. Our mission is to help merchants and businesses grow by accelerating their digital transformation with innovative virtual payment products. Our infrastructure will be across multiple continents over the next few years to support the ever growing business needs. The core infrastructure team owns the management of GCP, AWS, and various third party cloud services, including all of compute, storage, networking, container orchestration frameworks, and infrastructure pipeline. You will work in a highly collaborative and fast-changing environment, and play a key role in elevating the organization in every aspect of security, stability, and performance of our services.

What you’ll be doing:

• Collaborate with other teams to build an infrastructure as a platform that is secure, stable, cost-effective, and most importantly, empowers teams to iterate fast
• Building and maintaining our cloud infrastructure stack and CI/CD pipelines
• Design and implement monitoring and alerting for the infrastructure

What we are looking for:

• 12+ years of experience in infrastructure engineering or software engineering
• Strong experience working with GCP or AWS
• Experience with Kubernetes and/or Istio
• Experience with one or more scripting/programming languages, preferably Java/Python
• Ability to work autonomously in a fast-paced and cross-functional environment
• Strong skills in troubleshooting issues in a highly distributed environment
• Proficiency using AI-powered development tools (e.g., Claude Code) across the full software development lifecycle - including design, prototyping, development, testing, and iteration. A demonstrated passion for AI-driven development, a commitment to continuously advancing AI skills, and a drive to push the boundaries of productivity and engineering outcomes.

Bonus Skills:

• Experience in the financial payments technology space
• Expertise in Cloud networking
• Experience with GCP technologies, such as Spanner, BigQuery, Dataflow, Pub/Sub, etc
• Experience in building large-scale, distributed systems

Why Highnote?

• We’re a startup that allows for our employees to truly build from the ground up and impact every layer of our organization. 
• We’re a team of payments obsessed individuals. While some of us come from the fintech world, some of us don’t. We value the varied backgrounds and the diverse perspectives of our employees. 
• We’re small on hierarchy and big on growth. We’re a flat organization that allows everyone to have direct exposure to our leadership team. We are looking for builders who thrive in ambiguity. 
• We’re backed by Oak HC/FT, Costanoa Ventures, Adams Street Partners, Westcap, and Pinegrove Venture Partners. Angel Investors include Bill Ready (CEO at Pinterest) and Renaud Laplanche (Co-Founder & CEO of Upgrade).

Highnote benefits

• Flexible Paid Time Off 
• 100% healthcare coverage + 75% coverage for dependents
• 401k program
• Paid Parental Leave: Up to 16 weeks paid leave for the birth parent, and up to 6 weeks paid leave for the non-birth parent
• Equity in Highnote
• Stipend to build out your home office; internet and phone reimbursement
• At Highnote we have built a total rewards philosophy that includes fair, equitable, geo-based compensation that is performance and potential based. Our compensation packages are competitive based on robust market research and are a combination of a cash salary, equity, and benefits. In compliance with the Equal Pay for Equal Work Act, the annual salary range for applicants is $190,000-$240,000.

Please note that positions located in San Francisco are hybrid and include core working days of Monday, Tuesday, Wednesday, Thursday in office. We provide flexible work options based on distance from our downtown SF office. Highnote believes in the power of face-to-face, personal connection. As a result, we prioritize in-person candidates. 

Highnote is a diverse and inclusive company committed to growing a diverse and inclusive team. We invite people from all backgrounds and identities to apply. We do not discriminate based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other characteristics protected by US federal state or local laws, or the laws of the country or jurisdiction where you work. Additionally, we encourage everyone to share which pronouns you wish for us to use when addressing you (i.e.: she/her, he/him, they/them, etc).