Data Platform Engineer

Figma Inc

San Francisco, United States
Base: $235,000 - $376,000 usd; bonus/equity: equit...
On-site
Build foundational systems for ai-driven products
Own and evolve ml and data platform
Build product-facing data systems
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

Job Summary

  • 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.

Matching Summary

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.

Salary

Base: $235,000 - $376,000 USD; Bonus/Equity: Equity offered; Benefits: Health, dental & vision, retirement, parental leave, mental health, PTO, L&D stipend, WFH stipend, cell phone reimbursement

Skills & Requirements

Must-have

  • build foundational systems for AI-driven products
  • own and evolve ML and data platform
  • build product-facing data systems
  • ship platform tooling for Data Science teams
  • design and scale infrastructure for AI interfaces

Nice-to-have

  • strong product mindset
  • connecting platform work to impact
  • experience with LLMs and RAG systems

Key Requirements

  • 5+ years in data platform, infrastructure, or ML engineering
  • 1+ years working on AI or ML systems
  • Experience building and operating end-to-end ML systems
  • Strong Python programming skills
  • Experience designing ML infrastructure and scalable system architectures
  • Proven ability to work cross-functionally

Work Rights

Not specified

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