Product Engineer, Search

About this role

We are looking for a Product Engineer (Search) with 312 years of experience to own our clients developer-facing search endpoint closing the gap between retrieval and ranking research and what developers actually feel in the API. Youll be the single person who takes a ranking improvement from research and ships it as a live polished developer experience in days not sprints. No PM no hand-holding just you the product and a fast-moving team building infrastructure for the AI era.

What will you be doing

• Own the search API end-to-end response format latency error handling filtering and docs as the sole accountable person for how it feels to developers.

• Translate retrieval and ranking research wins into shipped product changes developers notice (think: 200ms latency improvements better recall/precision tradeoffs).

• Dogfood the API relentlessly read every GitHub issue and Discord thread touching search and fix friction before users have to ask.

• Run fast product experiments: form a hypothesis instrument it ship it measure it and decide quickly with imperfect data.

• Define what good looks like independently no PM to scope tickets; you set the priorities and own the outcomes.

Key Requirements

• Production search experience (retrieval ranking relevance) at a developer-facing company this is a hard requirement not a nice-to-have.

• Has shipped on top of Elasticsearch OpenSearch Vespa Algolia vector databases or a custom IR stack and owned an externally consumed search API.

• Can talk fluently about BM25 vs. semantic hybrid retrieval re-ranking and recall vs. precision tradeoffs unprompted.

• Founding engineer DNA: has shipped features end-to-end at a sub-200-person startup (Series AC) without a PM designer or QA layer.

• TypeScript/ proficiency; comfortable with observability tooling (Datadog Sentry OpenTelemetry) and cloud infra in production.

Required Experience:

IC