Product Engineer, Studio Platform

San Francisco FullTime

Posted 27d ago

Job Location

San Francisco

Tech Stack

Remote Work Policy

On-site

Employment Type

FullTime

Categories

AI Infrastructure Engineer

About the job

Mercor is seeking a Senior Product Engineer to join their Studio Platform team. This role is critical as the Studio platform powers all workflows for generating, managing, quality-reviewing, and delivering data to leading AI labs. The engineer will own the end-to-end user journeys for the React frontend and the backend services that drive data pipelines and customer output delivery. This position requires a strong blend of engineering craft and product impact, focusing on shipping scalable, reliable systems and intuitive interfaces to enhance user efficiency.

Responsibilities

  • Own the Studio platform across the full stack, including contributor-facing and operator-facing React interfaces, backend APIs, and pipelines for data ingestion, QA review, and AI lab delivery.
  • Lead engineering best practices, setting standards for frontend architecture, component design, and performance.
  • Build foundational layers to support new data types, task formats, and customer configurations rapidly.
  • Ship high-leverage product features to improve throughput and quality in core data generation and delivery pipelines.
  • Collaborate with Applied AI researchers, product, design, and operations to translate ambiguous requirements into technical solutions.

Requirements

  • 5+ years of full-stack engineering experience building and shipping production software.
  • Deep proficiency in JavaScript/TypeScript (React + Next.js) with a strong grasp of frontend architecture, state management, and design patterns.
  • Solid backend experience in Python and/or Node.js, including designing and building relational databases, REST APIs, and async task infrastructure.
  • Strong design sense and empathy for end-users, with a high bar for usability.
  • Experience with complex, high-throughput systems (pipelines, large data volumes, or multi-tenant architectures).
  • High ownership mindset, capable of navigating ambiguity and driving projects from design to delivery.
  • Strong communication skills to articulate technical and product tradeoffs clearly.

Benefits

  • Bi-annual performance bonus structure
  • Generous equity grant vested over 4 years
  • Up to $15k Relocation bonus
  • $10K proximity bonus
  • $1.5K monthly stipend for meals
  • Free Equinox membership
  • $200 monthly laundry reimbursement
  • $200 monthly personal wellness reimbursement
  • Health, Dental, Vision insurance

About Mercor

Get new AI jobs in your inbox

A weekly digest of the newest AI engineering roles.

© 2026 AI Job Board. All rights reserved.