Senior Product Engineer, Product Platform

Replit Replit · Enterprise · Foster City, CA · Hybrid · Engineering

Senior Product Engineer on Replit's Product Platform team, responsible for building shared product systems and primitives that power Replit's core experiences, enabling product teams and agents to ship faster and build better software. Focuses on scaling platform systems from 0 to huge scale.

What you'd actually do

  1. Lead major cross-team platform initiatives, taking foundational systems from 0 → 1 and scaling them to support millions of users
  2. Build shared, extensible Agent primitives that Replit Agent can reuse safely and consistently (Meta Programming)
  3. Identify the highest-leverage technical bottlenecks (performance, reliability, correctness, abuse, observability), then design and ship solutions for our scale
  4. Raise the bar for engineering excellence through architecture reviews, code quality, reliability standards, and mentorship
  5. Partner across teams to improve platform adoption, ergonomics, and velocity — turning platform work into measurable outcomes

Skills

Required

  • 5+ years of professional software engineering experience
  • Understanding of the full agentic software development stack, helping coding agents build, test and review correct code.
  • Strong track record leading complex projects with cross-functional stakeholders
  • Experience building and operating platform systems that other teams depend on
  • Experience operating and scaling systems in production (reliability, performance, incidents, on-call readiness)
  • Strong product judgment: you can balance UX, speed, correctness, and long-term maintainability
  • Comfort working in modern web stacks such as TypeScript, React, Node.js, Postgres

Nice to have

  • Experience working in environments with a high engineering bar (or a fast-growing startup where you shipped fast _without_ burning out quality)
  • Experience with platform and distributed systems patterns (queues, workflows, caching, rate limiting, async processing)
  • Familiarity with systems like: Redis, Postgres, Workflow engines (e.g. Temporal), Auth and enterprise identity (SSO, SCIM), Abuse protection and edge systems (Cloudflare), Cloud platforms (GCP), Observability (Datadog, Sentry), Localization, Experimentation and event pipelines (Statsig, Segment, analytics/event tracking)
  • Excited about the future of programming, including agent workflows and developer tools
  • Exposure to agent ecosystems (e.g. MCP-style patterns, tool integrations, structured automation)

What the JD emphasized

  • 0 → 1
  • scale
  • platform systems
  • agentic software development stack

Other signals

  • building shared primitives for agents
  • scaling platform systems
  • shipping foundational capabilities