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AfterQuery is an applied research lab that curates data solutions for foundation model development, serving frontier AI labs with the mission of delivering the best data to power the best models. The company is YC's fastest unicorn, valued at $3.2 billion, backed by leading investors including Altos Ventures, BoxGroup, Y Combinator, and angels from Google DeepMind, OpenAI, Anthropic, Meta Superintelligence Labs, and Microsoft AI.
This is a hands-on product engineering role focused on Growth Infrastructure. You will build end-to-end product experiences across expert acquisition, onboarding, assessments, matching, activation, and retention. The role sits at the intersection of engineering and the company's most important commercial and user-facing problems.
Key responsibilities include:
- Build end-to-end product experiences across the expert lifecycle (acquisition through retention)
- Partner directly with Growth and Operations teams to identify high-leverage bottlenecks, instrument the funnel, and ship improvements quickly
- Own experiments from idea through implementation and measurement: define hypothesis, build product, assess results, and iterate
- Develop internal tools and automation that make customer-facing and operational teams dramatically more effective
- Create durable product primitives and clean interfaces rather than one-off workflows; improve existing systems as you touch them
- Use data, user feedback, and technical judgment to make clear tradeoffs between speed, reliability, and long-term maintainability
You will work directly with Growth, Operations, Design, and the founders, turning ambiguous opportunities into simple, reliable software that drives measurable outcomes. This is a rare opportunity to join a company at a defining moment in AI, with a founding team that includes experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley.
REQUIREMENTS:
- 3–5 years of professional software engineering experience, ideally building high-velocity product, growth, marketplace, or workflow software
- Strong full-stack engineering ability and a track record of shipping user-facing product from ambiguous requirements
- Excellent product sense: ability to distinguish the real problem from the first requested solution and focus on what will move the metric
- Comfort working closely with non-technical partners and translating their needs into simple, robust systems
- High ownership, strong judgment, and the ability to move quickly without creating unnecessary complexity
PREFERRED QUALIFICATIONS:
- Experience with growth engineering, marketplace liquidity, onboarding, conversion optimization, or product analytics
- Experience at a fast-growing startup or on a lean team where engineers owned both product decisions and execution
- Interest in AI, data products, or tools that make complex work more scalable
