Render

Data Scientist

• Serve as a strategic analytics partner to leaders and cross-functional partners across Product, Engineering, Growth, Go-to-Market, Finance, and other teams.
• Identify high-impact questions, frame decisions, and determine how success should be measured.
• Define KPIs and measurement frameworks for acquisition, activation, adoption, engagement, retention, conversion, expansion, and customer outcomes.
• Surface patterns across users, customers, products, and the business.
• Identify opportunities, diagnose friction, and help determine investments and priorities.
• Design and analyze experiments, develop guardrail metrics, and evaluate initiatives.
• Define instrumentation and measurement plans for new products, programs, and initiatives.
• Build and maintain dbt models, semantic layers, and context layers with Analytics Engineering.
• Transform behavioral and business data into reliable datasets supporting decision-making across Render.
• Establish analytical best practices and improve data-driven decision-making.
• Mentor scientists and cross-functional partners on measurement, experimentation, and data literacy.
• Explore AI-assisted tools to make analytics faster and more accessible while maintaining accuracy and analytical judgment.

Senior/Staff Data Scientist

Data Engineer

• Set technical direction for core data systems, lead design decisions, and deliver reliable production systems
• Partner with Data team leadership to shape the platform roadmap and evaluate architectural and build-versus-buy tradeoffs
• Develop ingestion services, integrations, and pipelines that deliver accurate, timely data
• Implement testing, logging, alerting, and observability across the platform
• Own workflow execution, worker infrastructure, upgrades, and operational reliability for the orchestration platform
• Improve deployment patterns while balancing performance, cost, and maintenance needs
• Improve the BigQuery environment, including query performance, cost efficiency, permissions tooling, and governance
• Partner with Analytics Engineering on warehouse architecture and scalable dbt model foundations
• Develop APIs, event-driven ingestion, and reusable cloud services
• Use infrastructure as code to create maintainable infrastructure, reusable modules, and predictable deployments
• Improve version control, CI/CD, testing, documentation, and operational practices across the Data Platform
• Collaborate with analytics engineers, analysts, scientists, Engineering, IT, Security, and business teams
• Prepare model-ready datasets, make features available to downstream systems, and integrate AI and LLM workflows into production
• Mentor data engineers through code review, pairing, design feedback, and coaching

Senior/Staff Data Engineer

Analytics Engineer

At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure.

Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users.

Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development.

We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you.




APPLYING TO RENDER

We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team.

We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed.

Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time.




ABOUT THE ROLE

We're looking for a Senior/Staff Analytics Engineer to join our growing Data team and lead the evolution of our Analytics Engineering platform. As Render scales, you'll build the foundations that turn raw data into trusted, reusable models for analytics, executive reporting, and AI-assisted decision-making.

In this role, you'll partner closely with analysts, scientists, data engineers, and teams across Product, Engineering, Growth, Go-to-Market, Finance, and other business functions. Analysts and scientists will bring domain expertise and own business logic within their areas; you'll own the technical architecture, modeling standards, and engineering practices that help that work scale reliably.

As a Senior/Staff-level individual contributor, you'll set the technical direction for Analytics Engineering at Render—strengthening data quality, improving the developer experience, and building semantic and context layers that make data easier to discover and use. You'll help teams move faster with consistent metrics and maintainable models they can trust.




WHAT YOU'LL DO

 - Own our Analytics Engineering architecture. Guide the long-term evolution of Render’s Analytics Engineering platform, strengthening foundational models so our data remains trusted, scalable, and ready for AI-assisted analytics.

 - Build trusted, reusable data models. Design, build, and maintain governed dbt models that serve as authoritative sources for business-critical metrics across Product, Engineering, Growth, Go-to-Market, Finance, and other teams.

 - Establish engineering standards. Define and improve practices for data modeling, testing, documentation, version control, CI/CD, and code review. Review high-impact dbt changes and reduce technical debt across the analytics codebase.

 - Enable self-service and AI-assisted analytics. Design and maintain semantic and context layers that make metrics consistent, data discoverable, and analysis reliable for both people and AI tools.

 - Partner closely with analysts and scientists. Help analysts and scientists translate domain-specific business logic into scalable, maintainable warehouse models, moving shared logic out of individual reports and dashboards and into governed datasets.

 - Improve reliability and efficiency. Partner with Data Engineering to strengthen source data quality, warehouse architecture, and BigQuery performance and cost efficiency.

 - Raise the bar for Analytics Engineering. Mentor analysts, scientists, and analytics engineers on dbt development, dimensional modeling, and engineering best practices, and help teams adopt shared standards.




WHAT WE'RE LOOKING FOR

 - 7+ years of experience in Analytics Engineering, Data Engineering, or a related technical field, including at least 3 years of hands-on experience running dbt in production.

 - Expert-level SQL skills and a track record of designing and owning scalable Kimball dimensional models.

 - Deep expertise in modern Analytics Engineering practices, including Git, testing, CI/CD, documentation, data contracts, lineage, and governance.

 - Experience building semantic and context layers, trusted metrics, and warehouse architectures that support self-service analytics for humans and AI agents across multiple business domains.

 - Strong understanding of modern cloud data warehouse architecture, performance optimization, and cost efficiency, with experience in platforms such as BigQuery, Databricks, or Snowflake.

 - A track record of establishing technical standards, influencing engineering practices without formal authority, and improving reliability while reducing technical debt.

 - Proven ability to partner closely with analysts, scientists, and business stakeholders to translate requirements into scalable, maintainable data models.

 - Excellent communication skills. You can explain complex technical concepts and tradeoffs to technical and non-technical audiences and build alignment across teams.

 - Experience building data models that connect product usage, acquisition, CRM, and financial data across the customer lifecycle.

 - Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate data modeling, testing, documentation, or exploration.




NICE-TO-HAVES

 - Hands-on experience with Render’s analytics stack, including BigQuery, Segment, dbt, and analytics tools such as Metabase or Mixpanel.

 - Experience with developer-focused, product-led, sales-led, or usage-based businesses.

 - Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products.

If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need.




BENEFITS

 - 4 weeks of paid vacation.

 - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return.

 - Long-term disability, life insurance, and 401K plans.

 - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well.

 - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc.

 - Monthly cell phone and internet subsidy.

 - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders.

 - Continuous learning benefits & related support.

This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization.

Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

We encourage all who are interested to apply. We can't wait to hear from you!

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Senior/Staff Analytics Engineer

Operations

• Architect how Render’s ATS works across custom fields, access roles, interview plans, feedback forms, automations, integrations, and reporting foundations
• Own the reporting layer for Talent leadership and hiring teams, including dashboards, ad hoc reporting, metric definitions, and hiring plan progress visibility
• Keep hiring data accurate and reconciled across the ATS, hiring plan, and downstream systems
• Identify recurring Talent Operations patterns and improve workflows, automate repeatable work, and make processes self-serve
• Evaluate, procure, implement, and manage tools for sourcing, scheduling, reporting, and recruiting operations
• Build API-based reporting, integrations, and automations to reduce manual work for recruiters and coordinators
• Lead process rollouts with documentation, training, adoption checks, and follow-through
• Work with recruiters, recruiting coordinators, hiring managers, People leaders, and external partners
• Improve candidate and interviewer experience, reduce process drift, and provide visibility into hiring performance and blockers

Senior/Staff Data Scientist

Senior/Staff Data Engineer

Senior/Staff Analytics Engineer

Talent Operations Manager