Position Details

Type Full-Time

Experience mid

Exp. Years 5+ years

Education Not specified

Category AI & Machine Learning

About this role

Figma is hiring a Data Platform Engineer to build the foundational ML and data platform that powers AI-driven products and self-serve analytics. The role focuses on owning the AI data agent layer, implementing prompt-processing pipelines and usage analytics, and operationalizing model serving and data workflows in production.

Key Responsibilities

Lead Figma’s AI data agent workstreams (data-agent layer, prompt-processing pipelines, instrumenting interactions, prompt-based usage analytics)
Own and evolve Figma’s ML and data platform (model serving, feature pipelines, workflow orchestration, CI/CD for models, production monitoring)
Build product-facing data systems and data products to make models and data first-class components
Ship platform tooling for Data Science model deployment, iteration, and operation (feature stores, rollout systems, observability)
Design and scale infrastructure for AI-assisted and natural language interfaces to data

Technical Overview

You will design and evolve the ML and data platform including model serving, feature pipelines, workflow orchestration, CI/CD for models, and production monitoring. You will also build product-facing data systems, platform tooling for ML deployment/iteration, and infrastructure for AI-assisted and natural language interfaces to enable self-serve analytics.

Ideal Candidate

The ideal candidate is a mid-level data platform/ML engineer with 5+ years building and operating data platform and AI/ML systems in production. They are strong in Python and have hands-on experience with model serving, feature pipelines, workflow orchestration, and CI/CD for models, plus observability/monitoring for production reliability.

Must-Have Skills

5+ years of experience in data platforminfrastructureor machine learning engineeringat least 1+ years working on AI or ML systemsExperience building and operating end-to-end ML systems in production (trainingevaluationdeploymentmonitoring)Strong programming skills in PythonExperience designing ML infrastructure (model servingfeature pipelinesworkflow orchestration)Proven ability to work cross-functionally and drive projects across Data ScienceEngineeringInfrastructureand Product

Nice-to-Have Skills

building prompt-processing pipelines for AI data agentinstrumenting interactions for prompt-based usage analytics

Required Skills

data platforminfrastructure engineeringmachine learning engineeringAI or ML systemsend-to-end ML systems in productionPythonmodel servingfeature pipelinesworkflow orchestrationCI/CD for modelsproduction monitoringprompt-processing pipelinesprompt-based usage analyticsfeature storesrollout systemsobservabilityself-serve analyticsdata contractsSLAssystem design

Hard Skills

data platforminfrastructure engineeringmachine learning engineeringAI or ML systemsend-to-end ML systems in production (trainingevaluationdeploymentmonitoring)Pythonmodel servingfeature pipelinesworkflow orchestrationCI/CD for modelsproduction monitoringdata contractsSLAssystem designfeature storesrollout systemsobservabilityprompt-processing pipelinesprompt-based usage analyticsinstrumenting interactionsself-serve analyticstrainingevaluationdeploymentmonitoringscalable system architecturesdeveloper experienceplatform toolingtooling abstractionsmachine learning and data platform

Soft Skills

cross-functional collaborationdriving projectscross-functional platform initiativescommunicating and aligning stakeholdersproblem-solvingproject leadershipengineering discipline for reliable scalable systems

Industry & Role

Industry SaaS

Job Function Build and operate Figma’s ML and data platform and AI data-agent systems to enable self-serve analytics and production-grade AI.

Role Subtype MLOps Engineer

Tech Domains Python, AI & Machine Learning, Linux, Kubernetes, Cloud & Infrastructure, IT Infrastructure Admin

Keywords for Your Resume

Data Platform EngineerData EngineeringAI data agentself-serve analyticsprompt-processing pipelinesprompt-based usage analyticsML and data platformmodel servingfeature pipelinesworkflow orchestrationCI/CD for modelsproduction monitoringfeature storesobservabilityinfrastructuremachine learning engineeringend-to-end ML systemstrainingevaluationdeploymentmonitoringPythondata contractsSLAssystem designscalable system architectures

Deal Breakers

Must have 5+ years of experience in data platform, infrastructure, or machine learning engineering, Must have at least 1+ years working on AI or ML systems, Must have experience building and operating end-to-end ML systems in production (training, evaluation, deployment, monitoring), Must have strong programming skills in Python

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