3 months ago
Base Salary
$180k - $250k/yr
Responsibilities
- Own billing and pricing systems, including metering, usage roll-ups, pricing logic, and customer and administrative cost surfaces.
- Design APIs, data models, and product contracts for use by internal teams and customers.
- Expand ownership across accounts, access and identity, API keys, model discovery, usage, cost, and access surfaces.
- Engineer for correctness and resilience through source-of-truth design, idempotency, auditability, permissions, observability, and graceful failure.
- Own operational health, including on-call for the systems built.
- Partner with product, infrastructure, finance, revenue, security, and customer-facing teams to replace manual workflows with durable systems.
Requirements
- 5+ years of experience building reliable production backend systems.
- Strong Python and/or TypeScript experience.
- Strong PostgreSQL skills, including schema design, queries, migrations, and performance.
- Experience designing APIs and data models for complex product or business domains.
- Ability to ship product and internal surfaces using React, Next.js, and TypeScript.
- Strong systems judgment around source of truth, idempotency, auditability, permissions, observability, and graceful failure.
- Strong product judgment around workflows, edge cases, and customer trust.
- Ability to work pragmatically in ambiguous, cross-functional environments.
- Experience with usage-based billing, metering, or pricing is a plus.
- Experience with Stripe, Orb, Metronome, identity and access systems, developer platforms, model registries, usage dashboards, generative AI, inference APIs, or developer-facing AI products is a plus.
Benefits
- Competitive salary and equity
- Learning and growth opportunities
- Relocation assistance and visa sponsorship to San Francisco
- Health, dental, and vision coverage
- Regular team events and offsites
Tech Stack
Categories
About fal
Fal builds a generative media platform that gives developers a unified API to run state-of-the-art image, video, and audio models. It provides serverless GPUs, high-performance inference, and dedicated compute clusters so teams can customize, deploy, and scale models in production. The company is privately held and headquartered in San Francisco, serving both startups and enterprises through a commercial API and managed infrastructure.