7 дней назад
Senior Product Manager - Search (AI)
150 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager - Search (AI) (LLM-powered search and ranking): Rebuilding search across structured and unstructured project data with an accent on retrieval, personalization, ranking, and measurable relevance. Focus on designing model evaluations, building algorithmic feedback loops, and partnering with engineering and data science to improve search quality and customer outcomes.
Location: United States — remote, or Omaha, Nebraska — hybrid
Salary: $150,000–$200,000 per year
Company
provides cloud-based project management software for builders, serving nearly 1 million users globally.
What you will do
- Define the Search product direction and own the roadmap for retrieval, ranking, and personalization.
- Lead the transition from keyword search to LLM-powered search across structured and unstructured project data.
- Build algorithmic feedback loops that use customer search behavior and result evaluations to improve ranking.
- Design evaluations and experiments to measure search quality, click-through rate, match quality, adoption, retention, and revenue impact.
- Partner with engineering and data science on data aggregation, model development, production serving, RAG, and ranking strategies.
- Communicate model performance and technical trade-offs to technical and non-technical stakeholders.
Requirements
- Bachelor’s degree or equivalent experience; a technical background in computer science, engineering, or a related field is helpful.
- 5+ years of product management experience with ownership of search, recommendations, personalization, relevance/ranking, or ad-tech systems.
- Experience designing model evaluations and improving search or relevance metrics.
- Experience building algorithmic feedback loops and connecting product metrics to adoption, retention, and revenue.
- Familiarity with retrieval and ranking approaches, including RAG and model-based search, plus strong algorithmic and systems thinking.
- Strong communication skills and experience partnering with engineering and data science on technical trade-offs.
Nice to have
- B2B SaaS experience.
- Experience in B2C search, recommendations, or personalization.
- Experience using AI-assisted development tools such as Claude Code.
Culture & Benefits
- Medical, dental, vision, life insurance, and short- and long-term disability coverage.
- 401(k) plan with matching contributions.
- Paid time off, 11 paid holidays, personal days, parental leave, and paid sabbaticals.
- Volunteer time off, wellness programming, and an onsite fitness center.
- Remote or hybrid work options, technology reimbursement, free daily lunches at headquarters, and monthly team events.
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