Senior Product Manager, Search and Personalization

Salesforce Salesforce · Enterprise · San Francisco, CA +1

Salesforce is seeking a Senior Product Manager to own the search and personalization services for the AgentExchange marketplace. This role involves defining buyer-facing GenAI search experiences, including multi-turn conversational search and AI-powered discovery, as well as driving the personalization roadmap based on various signals. The candidate will be responsible for diagnosing search performance gaps, defining search quality metrics, shipping improvements, and running a systematic experimentation program to continuously enhance search quality, ranking, and discovery. The role also requires making product decisions based on behavioral data and demonstrating proficiency in using AI agents and modern AI development tools.

What you'd actually do

  1. Own the search experience on AgentExchange from the buyer's perspective — diagnosing the current performance gap in search discovery, defining search quality as a measurable product metric, shipping improvements that move buyer engagement and conversion, and running experiments.
  2. Define and drive the buyer-facing GenAI search experience across AgentExchange, including multi-turn conversational search, AI-powered discovery, and relevance optimization. Own the end-to-end search experience across all AgentExchange surfaces within Salesforce, including search ranking, retrieval quality, and personalization to improve customer discovery and engagement.
  3. Drive the personalization roadmap for AgentExchange's authenticated experience — taking Phase 1 (org metadata, installed products, industry signals) and building Phase 2 (behavioral signals, peer benchmarks, AI-generated recommendations) to lift click-through rates and install conversion from the homepage.

Skills

Required

  • 8+ years of product management experience, with direct ownership of a search or recommendation experience at a B2B product or marketplace.
  • Experience building and scaling a search optimization and experimentation program
  • Experience owning a personalization or recommendation surface
  • A track record of making product decisions from behavioral data
  • Demonstrated proficiency using AI agents and modern AI development tools
  • Strong customer empathy with a demonstrated ability to translate customer research, user feedback, and market insights into product strategy and roadmap decisions.

Nice to have

  • Experience with a multi-ecosystem marketplace
  • Experience working as a product consumer of an API platform capability owned by another team
  • Active use of AI tools in day-to-day PM work
  • Experience building for Salesforce Admin, enterprise IT buyer, or ISV developer personas, or at a self-serve SaaS product with a search-driven discovery funnel.
  • A related technical degree

What the JD emphasized

  • Experience building and scaling a search optimization and experimentation program—not just tuning individual ranking models or running isolated A/B tests, but establishing the experimentation framework, relevance metrics, statistical rigor, and decision-making processes that enable continuous improvement of search quality, ranking, and discovery.
  • Experience owning a personalization or recommendation surface, with the ability to speak to the product design challenges — cold start, feedback loops, explainability — not just the underlying model.
  • Demonstrated proficiency using AI agents and modern AI development tools to accelerate product discovery, strategy, execution, and delivery, with effective human–agent collaboration workflows.

Other signals

  • AI CRM
  • Agentforce
  • GenAI search
  • personalization
  • experimentation program