Senior Product Manager - Search/Multimodal Indexing (Datagrid)

What you’ll do

• Define and execute the technical product strategy for our multi-modal indexing and retrieval architecture, ensuring it serves as a highly precise foundation for all search and AI workflows.
• Own the roadmap for data indexing coverage and freshness, optimizing target latency so newly created project documents, drawings, and blueprints are instantly retrievable.
• Partner with engineering and architecture leads to drive ingestion pipeline reliability, establishing strict standards for uptime, error rates, and schema fidelity across diverse data connectors.
• Arcitect a graduated search depth strategy that seamlessly routes queries between shallow search for rapid speed and deep search for multi-layered context.
• Optimize retrieval quality and context precision specifically to support autonomous agent actions, moving far beyond passive Q&A into execution-ready data delivery.
• Tackle data scale and information noise by utilizing deep search techniques to cluster, summarize, and extract core themes at the retrieval level.
• Establish performance metrics and evaluation frameworks, leveraging tools like LLM-as-a-judge to continuously measure and improve search recall and response quality.
• Collaborate across the Datagrid division to align backend retrieval capabilities with downstream AI workflows, ensuring our core data engine scales effectively.

What we’re looking for

• BS or MS degree in Computer Science, Engineering, or a related discipline, or equivalent practical work experience.
• 3+ years of product management experience, with a proven track record of handling enterprise-class software, databases, or complex data platforms.
• Deep technical understanding of LLMs, Retrieval-Augmented Generation (RAG), search indexing architectures, or vector databases.
• Exceptional platform and systems thinking skills, with an innate ability to understand how data moves through complex, distributed environments.
• Proven ability to navigate ambiguity in highly technical problem spaces, distilling multifaced, abstract ideas into clear requirements that drive engineering consensus.
• Strong customer-centric discovery mindset, showing proficiency in translating complex end-user workflows into technical backend systems requirements.
• Outstanding cross-functional collaboration skills, with a demonstrated ability to lead through influence and build trust across engineering and architecture teams.
• Experience in B2B SaaS or Construction Tech handling multi-modal datasets (drawings, photos, BIM models, or schedules) is a significant plus.