AI Founding Engineer (w/ Strong Product & Frontend Experience)

Salary Range $100,000 - $200,000 per year

Location: San Francisco, NYC, Vancouver

Job Overview And Responsibility

Job Overview

As a Founding Engineer, you'll spearhead core systems development from inception to reliable operation, transforming fragmented GTM data into robust, actionable product-ready models.

Responsibilities

As a founding engineer you will own core systems end to end and ship V1s fast. You will turn messy GTM data into working product, instrument results, and iterate in tight build-measure-learn loops with Product and Sales.

• Create the collective memory: Ingest and unify multi-source data into a multi-level context graph with strong tenant isolation.
• Orchestrate agentic systems: Design planner and executor patterns, tools, and policies that transform context into actionable content and build lightweight evaluation harnesses.
• Deliver where users work: Ship native surfaces and integrations within apps, chat, and GTM tools in collaboration with Product and Sales teams.
• Prove outcomes: Define metrics such as tasks auto-completed and adoption rates, and wire observability for rapid ship-learn-iterate cycles.
• Balance cost and reliability: Tune for accuracy, latency, and cost while implementing fallbacks and safeguards for real-world loads.

Required Skills and Experience

Qualifications

We’re looking for an owner-builder who can take a fuzzy problem from zero to one and then operate it reliably in production. You pair strong Python/backend fundamentals with practical product taste, sound data modeling, and the judgment to make trade-offs and ship.

• 4+ years of experience in building and owning backend or platform systems with measurable business impact.
• Strong proficiency in Python and ability to establish cloud infrastructure and production services.
• Experience in integrating messy, multi-source data into product-ready models with sound reliability, privacy, and multi-tenant boundaries.
• Possess product thinking, a bias to ship, and comfort making decisions with approximately 70% of information.

Ideal Candidate

Owner-builder who loves turning fuzzy problems into shipped systems and measuring real customer impact.

• Early engineer from an AI/data/infra or GTM-tooling startup; comfortable owning a platform surface and taking it from 0→1→reliable operation.
• Strong backend in Python; has stood up cloud services (preferably AWS) and production pipelines; familiarity with FastAPI/GraphQL, Postgres or DynamoDB, Kubernetes, Pulumi, and event-driven patterns.
• Experience with agentic/retrieval systems or graph-shaped context; has designed planner/executor loops, added evals/observability, and shipped iterative improvements.
• Sound multi-tenant data modeling, privacy, reliability, and fallback instincts; clear communicator of trade-offs.
• Product taste: partners with Product and Sales, writes lightweight design docs, and iterates quickly based on metrics.
• Able to work hybrid 3 days/week from San Francisco, New York City, or Vancouver (or relocate on an agreed timeline).

Why Candidate should apply this position

Benefits

Retirement/401k

Health Insurance

Vision Insurance

Dental Insurance

Open to considering relocation for the right candidate but really prefer local candidates

Candidates should already be based in US

Other