Sr. Fullstack Engineer

Job Title: Sr. Fullstack Engineer

Work Arrangement: Hybrid (3 days/week in SF, NYC, or Vancouver, or relocating on an agreed timeline)

Schedule: Day Shift

Location: San Francisco, California (candidates from New York or Vancouver can also apply)

Employment Type: Full-time

Annual Salary: USD 100,000 to USD 200,000

About the Role:

As a Sr. Fullstack Engineer, you will be pivotal in designing and implementing innovative product surfaces and backend services that turn GTM data into actionable insights via intuitive UI and robust APIs. You will collaborate closely with Product and GTM teams to build and optimize user-facing applications in React/TypeScript, paired with Python FastAPI/GraphQL for seamless agent workflows.

Key Responsibilities:

● Own end-to-end delivery of product surfaces and services—turning GTM data into clear UI, fast APIs, and agent-driven workflows.

● Build product surfaces: Ship React/TypeScript web UI (apps, chat, integrations) with strong UX, accessibility, and instrumentation.

● Own APIs/services: Design and implement Python FastAPI/GraphQL endpoints, data models, and background jobs.

● Context + orchestration: Contribute to the context graph and planner/executor policies; wire evaluation harnesses to measure quality.

● Production excellence: Add observability, tests, and runbooks; improve latency, run cost, and implement safe fallbacks.

● Integrations: Deliver and maintain integrations with CRM and sales tools; reduce context switches for users.

● Engineering leadership: Write RFCs, lead design/code reviews, mentor ICs, and improve standards and tooling.

Qualifications:

● 4+ years building and owning full-stack apps with measurable impact (0 1 and 1 N).

● Strong experience in React/TypeScript (state management, performance, testing) and Python (FastAPI/GraphQL).

● Comfort with AWS production ops; familiarity with PostgreSQL/DynamoDB, Kubernetes, Pulumi, and event-driven designs.

● Experience stitching multi-source data into product-ready models with strong privacy, reliability, and multi-tenant instincts.

● Nice to have: agent orchestration/planning, retrieval/graph-shaped context, evaluation frameworks, distributed systems.

Ideal Candidate Profile:

● Staff-level IC from an AI/data/infra or GTM-tooling company who has owned a platform surface from 0 1 and through reliability hardening.

● Strong Python + AWS; comfortable with Postgres or DynamoDB, FastAPI/GraphQL, Kubernetes, Pulumi, event-driven design.

● Experience with agent orchestration/retrieval or graph-shaped context; adds evaluations/observability and ships iterative improvements.

● Excellent instincts for multi-tenant isolation, privacy, reliability, and cost control; communicates trade-offs clearly.

● Leads design/code reviews and mentors peers while staying hands-on; collaborates tightly with Product and GTM.

Candidates with attached CV and relevant experience will be considered for a phone interview.