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Senior Product Manager, Search Infrastructure
לא צויןמשרה מלאהניהול מוצרData InfrastructureEnterprise Software
Lead product direction for search infrastructure used by AI agents. Set quality standards, guide the search index roadmap, and balance relevance, freshness, latency, and cost. This hands-on senior individual-contributor role reports to the Director of Product and works closely with search, research,
תחומי אחריות
- Set search quality standards and release criteria by use case, partnering with the evaluation team on measurement.
- Own tradeoffs among search depth, latency, and cost across products.
- Shape index coverage, freshness, and quality direction.
- Develop and execute a roadmap for search infrastructure as AI agents become major search consumers.
- Assess alternatives customers consider and prioritize work to close important gaps.
- Work with customer success and customers to identify shortcomings in real workflows and translate feedback into quality priorities.
- Partner with data and vertical product owners on corpus requirements and industry-specific result shaping.
דרישות
- At least 5 years of product management experience, including substantial work with high-scale search or ranking systems.
- Required background as an engineer, machine-learning engineer, or researcher on a production system in search, ranking, or a comparable area.
- Hands-on experience shipping a search or ranking change end to end, including evaluation and post-launch follow-up.
- Strong data skills, including experiment design and critical interpretation of evaluation results.
- Sound product judgment and ability to defend technical product decisions to engineers and customers.
- Strong understanding of LLMs, AI agents, and retrieval in agentic workflows.
- Ability to work through ambiguity and move between strategy and execution.
- Ability to influence and align cross-functional stakeholders without formal authority.
יתרון
- Depth in information retrieval, NLP, or applied machine learning.
- Experience with index tiering, sharding, freshness pipelines, or query-cost optimization at scale.
- Experience with hybrid retrieval, semantic and lexical search, re-ranking, or human evaluation programs.
- Experience in API-first or developer-platform businesses serving self-serve and enterprise customers.
- Experience in a high-growth technology company, including post-acquisition or startup-within-a-larger-organization environments.