Job description

About the Company Our client is a venture-backed startup building the next generation of revenue infrastructure for B2B AI companies, starting with intelligent deal pricing and quoting. They are replacing legacy tooling in a category that is being disrupted this year, and they already count fast-growing enterprises and AI companies among their customers. The team is small, well-backed by top-tier investors, and moving quickly toward its next stage of growth. Founded 2024 · ~12 people · Industry: B2B SaaS, AI, Fintech The Role As a Founding Engineer, you would join a small, product-minded engineering team and own core features end-to-end for a fast-growing pricing and quoting platform. This is a backend-leaning full-stack role with real scope: you would ship the product that customers run their revenue on and help shape early product decisions. What you'll be doing • Building and shipping core backend features for the pricing and quoting platform • Developing AI-powered agents launching in the near term • Owning product features end-to-end, from design through implementation • Contributing to product decisions and understanding the reasoning behind what you build • Working cross-functionally in a small company, including occasional support of customer onboarding Tech stack: TypeScript, Python, React, SQL, PostgreSQL, Express, Tailwind, LLMs, AI Agents Requirements • Roughly 4 to 8 years of full-stack software engineering experience • A track record of owning features end-to-end within a small engineering team • Strong backend engineering skills in TypeScript or Python • Solid experience with SQL, ideally PostgreSQL or similar • Experience building products at a venture-backed startup • A strong ownership mentality, comfortable driving projects without waiting for direction Nice to Haves • Experience at a CPQ, pricing, or revenue infrastructure company • Hands-on experience shipping AI/ML products, LLMs, or agents in production • Full-stack range with React or a similar frontend framework Why Join • Founding-level scope and ownership on a product customers depend on • Strong investor backing and early traction with well-known customers • A category at an inflection point, with room to shape the product early • Competitive base plus generous early-stage equity, and a full benefits package Details • Location: San Francisco, CA • Work policy: On-site, 5 days a week (near Montgomery Station) • Compensation: $160K-$200K + equity • Visa sponsorship: Available, including visa transfers • Employment type: Full-time

Requirements

Must-haves

What you'll be doing
Building and shipping core backend features for the pricing and quoting platform
Developing AI-powered agents launching in the near term
Owning product features end-to-end, from design through implementation
Contributing to product decisions and understanding the reasoning behind what you build
Working cross-functionally in a small company, including occasional support of customer onboarding
Tech stack: TypeScript, Python, React, SQL, PostgreSQL, Express, Tailwind, LLMs, AI Agents
Roughly 4 to 8 years of full-stack software engineering experience
A track record of owning features end-to-end within a small engineering team
Strong backend engineering skills in TypeScript or Python
Solid experience with SQL, ideally PostgreSQL or similar
Experience building products at a venture-backed startup

Nice-to-haves

Experience at a CPQ, pricing, or revenue infrastructure company
Hands-on experience shipping AI/ML products, LLMs, or agents in production
Full-stack range with React or a similar frontend framework
Founding-level scope and ownership on a product customers depend on
Strong investor backing and early traction with well-known customers
A category at an inflection point, with room to shape the product early
Competitive base plus generous early-stage equity, and a full benefits package
Location: San Francisco, CA
Work policy: On-site, 5 days a week (near Montgomery Station)
Compensation: $160K-$200K + equity
Visa sponsorship: Available, including visa transfers
Employment type: Full-time

Application prep

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Keywords to mirror

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