Product Engineer, Search

San Francisco, CA, US • Posted 22 hours ago • Updated 9 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Sprint
  • Team Building
  • Artificial Intelligence
  • Accountability
  • Research
  • WINS
  • GitHub
  • Thread
  • Elasticsearch
  • Vector Databases
  • Investor Relations
  • Information Retrieval
  • International Relations
  • API
  • Okapi BM25
  • Semantics
  • DNA
  • Startups
  • Preventive Maintenance
  • Project Management
  • Performance Management
  • Quality Assurance
  • TypeScript
  • Node.js
  • Cloud Computing

Summary

About this role

We are looking for a Product Engineer (Search) with 3-12 years of experience to own our client's developer-facing search endpoint - closing the gap between retrieval and ranking research and what developers actually feel in the API. You'll 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 A-C) without a PM, designer, or QA layer.
  • TypeScript/Node.js proficiency; comfortable with observability tooling (Datadog, Sentry, OpenTelemetry) and cloud infra in production.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90984190
  • Position Id: 14d97d24f91c6b929d149f0de2ac954d
  • Posted 22 hours ago
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