Data Platform Engineer

We are looking for a Data Platform Engineer to join our Data Engineering team and help build the foundational systems that power Figma’s next generation of AI-driven products and data experiences.

This is a unique opportunity to be an early engineer shaping Figma’s ML and data platform, enabling everything from self-serve analytics to production-grade AI systems. You’ll work at the intersection of data, infrastructure, and machine learning, building scalable systems that empower Data Science, unlock AI capabilities across the company, and bring data and models closer to the product experience.

This is a full-time role that can be held from one of our US hubs or remotely in the United States.

What you’ll do at Figma:

• Lead work on Figma’s AI data agent to enable self-serve analytics by owning the data-agent layer, building prompt-processing pipelines, instrumenting interactions, and delivering prompt-based usage analytics
• Own and evolve Figma’s ML and data platform, including model serving, feature pipelines, workflow orchestration, CI/CD for models, and production monitoring
• Build product-facing data systems and data products so models and data become first-class components of Figma’s product experience
• Ship platform tooling that enables Data Science teams to deploy, iterate on, and operate models effectively, including feature stores, rollout systems, and observability
• Design and scale infrastructure for AI-assisted and natural language interfaces to data, unlocking self-serve analytics across the company
• Drive cross-functional platform initiatives, aligning data contracts, SLAs, and system design across Data Science, AI/ML, Infrastructure, and Product
• Improve the developer experience for ML and data practitioners through robust abstractions, tooling, and platform capabilities

We’d love to hear from you if you have:

• 5+ years of experience in data platform, infrastructure, or machine learning engineering, with at least 1+ years working on AI or ML systems
• Experience building and operating end-to-end ML systems in production (training, evaluation, deployment, monitoring)
• Strong programming skills in Python or a similar language, with proven ability to build reliable, scalable systems and services
• Experience designing ML infrastructure (model serving, feature pipelines, workflow orchestration) and scalable system architectures
• Proven ability to work cross-functionally and drive projects across Data Science, Engineering, Infrastructure, and Product, with experience in data modeling and data product design

While it’s not required, it’s an added plus if you also have:

• Experience with ML platform tooling such as MLflow, Kubeflow, feature stores, or CI/CD for ML workflows
• Familiarity with LLMs, RAG systems, prompt processing, or AI-native infrastructure
• Experience building self-serve analytics platforms or internal data tools
• Experience with modern data stack technologies such as Snowflake, dbt, or Dagster, and cloud platforms such as AWS
• A strong product mindset and interest in connecting platform work to user and business impact

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.