Senior Product Manager - Search

Compensation: $150,000-$200,000 per year

Location:

United States – Remote or Omaha, NE - Hybrid

As a Senior Product Manager at Buildertrend on our Search team, you'll shape how builders find exactly what they need across a large and growing corpus of project data. Search is the most explicit statement of intent a builder makes in Buildertrend: a change order from last month, the photo from a daily log three weeks ago, the selection a client approved.

Today it’s harder than it needs to be to find those things and you will have the opportunity to make a real difference in builder’s lives by helping to rebuild our search capability. You'll lead the shift from traditional keyword search toward LLM-powered search that understands intent, including owning the product direction for algorithms that rank, personalize and surface results, and building the feedback loops that drive continuous improvement based on real customer behavior.

Success in this role means measurably better search quality: higher click-through rates, better match quality and results that feel like they understand the builder's intent, not just their keywords.

• Define product direction for Search, owning the roadmap for ranking, retrieval and personalization.
• Lead the evolution from keyword‑based search to model‑based, LLM‑powered search that reasons over both structured and unstructured data.
• Build and refine algorithmic feedback loops: a customer searches, evaluates the results and that signal feeds back into ranking improvements.
• Design and run evals that measure whether search and ranking models are actually getting customers to what they're trying to find.
• Partner closely with engineering and data science on data aggregation and structure, model development and serving in production, retrieval strategies (including RAG) and ranking approaches.
• Establish and track success metrics like click‑through rate and match quality, and use them to prioritize model and product investments.
• Validate opportunities through experimentation, comparing new ranking or retrieval approaches against current performance.
• Build tight feedback loops with customers to understand search intent and where results fall short.
• Communicate technical trade‑offs and model performance clearly to both engineering and non‑technical stakeholders.
• Use provided AI tools (full Claude Code access, etc.) to develop and challenge your own thinking while maintaining full ownership of any AI assisted outputs.

• Bachelor’s degree or equivalent experience required. A background in computer science, engineering or a related technical field is helpful.
• 5+ years of product management experience required, including meaningful ownership of search, recommendations, personalization, relevance/ranking, or ad‑tech systems.
• B2B SaaS experience preferred; candidates from B2C search, recommendations, or personalization backgrounds are encouraged to apply.
• Experience designing evaluations that measure whether a model is producing the outcome customers are trying to reach.
• Proven record of improving search and relevance metrics (like click‑through, match quality) and connecting them to adoption, retention, and revenue.
• Experience running algorithmic feedback loops: search, result, evaluation and improvement.
• Familiarity with modern retrieval and ranking approaches, including RAG and model‑based search, is a strong plus.
• Systems thinker who understands end to end workflows and dependencies.
• Comfortable partnering directly with engineering and data science on model performance and trade‑offs.
• Strong algorithmic thinking and the ability to translate technical approaches into measurable outcomes.
• Ability to make clear decisions in complex or ambiguous…