Senior Product Engineer, Product Platform

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

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

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, PostgresWorkflow engines (e.g. Temporal)Auth and enterprise identity (SSO, SCIM)Abuse protection and edge systems (Cloudflare)Cloud platforms (GCP)Observability (Datadog, Sentry)LocalizationExperimentation and event pipelines (Statsig, Segment, analytics/event tracking)
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)

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)

Connectors platform for agents — ship a secure connector framework (OAuth/permissions/data access) so agents can integrate with Slack/Notion/GitHub/etc.
Agent-facing external surfaces — own high-quality embedded experiences (desktop/extension/embeds) that let agents act in-context across tools
Safety + abuse controls for agent actions — design permissioning, rate limits, and policy enforcement so agents can operate safely at scale
Real-time notifications platform — design in-app/email surfaces + build reliable delivery/fanout, preferences, and observability
Core web platform performance + caching — improve latency and reliability via caching strategy (Redis), profiling, and safe fallbacks
Events + experimentation primitives — standardize tracking/metrics + feature flags/rollouts so teams can ship safely and measure impact