Founding Engineer, Platform

Digital Waffle
San Francisco, CA, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$200,000.0 - $300,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Software as a Service Cursor PostgreSQL Redis TypeScript Large Language Models Backend Agentic-AI Claude Data Pipelines

Requirements

  • 5+ years as a backend or platform engineer, with real production experience at scale
  • Strong TypeScript, with genuine comfort in functional patterns (Effect, fp-ts or equivalent)
  • Deep experience with Postgres, Redis and the realities of running stateful systems in production
  • Track record owning problems end to end, from scoping to shipping to supporting live customers
  • Comfort making architectural calls with incomplete information in a startup environment
  • Experience building systems where reliability, data consistency and cost are first-class concerns
  • Fluent with coding agents (Claude, Codex, Cursor and similar) as part of day-to-day engineering
  • Happy with a hybrid San Francisco Bay Area setup and the pace of a seed-stage team, * Prior experience as a founding or very early engineer at a fast-growing startup
  • Background in workflow engines, orchestration systems, data pipelines or multi-tenant SaaS infrastructure
  • Exposure to AI/LLM product work, agentic systems or eval infrastructure
  • Experience with ElectricSQL, TanStack or sync-based architectures
  • Prior work shipping to developer or GTM audiences

Benefits & conditions

Salary: $200,000 - $300,000 base plus 0.5% - 1% equity (seed-stage strike price), * Own the backend engine behind every customer workflow: scheduling, batching, idempotency, retries and cancellation

  • Design and ship provider integrations across 40+ data providers, handling rate limits, concurrency, failures and cost per call
  • Shape the platform architecture as it evolves toward a custom, agent-native compiler and workflow language
  • Hold the line on uptime, data consistency and cost per run, treating them as product features rather than ops concerns
  • Partner with the technical co-founder on foundational architecture decisions
  • Take features from scoping through delivery and close the loop once work lands with customers
  • Use coding agents heavily as part of your workflow and own the judgement on what they produce
  • Help shape engineering culture, hiring and standards as the team scales from ~13 behind you

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