Salesforce

1 day ago

Senior Product Manager, Search and Personalization

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 minutes agoStatus: Live

Job Summary

Own search and personalization for the AgentExchange marketplace, shaping what buyers see and what gets recommended based on who they are and how they work. Lead a data-driven experimentation program to improve search quality, ranking, retrieval quality, and engagement. Drive the roadmap for authenticated personalization, building from org metadata to behavioral signals and AI-generated recommendations with cross-functional partners across engineering and data.

Location: San Francisco, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Seniority: Mid level

Key Responsibilities

•Own the buyer search experience on AgentExchange, diagnose performance gaps, define measurable search quality metrics, ship improvements, and run experiments.
•Define and drive the GenAI buyer search experience across AgentExchange, including multi-turn conversational search, AI-powered discovery, and relevance optimization.
•Own end-to-end search across AgentExchange surfaces, including search ranking, retrieval quality, and personalization to improve discovery and engagement.
•Drive authenticated personalization by building from org metadata and installed products to behavioral signals, peer benchmarks, and AI-generated recommendations.
•Continuously improve the marketplace experience by learning from interactions through systematic experimentation.

Pay and Benefits

Salary: USD 172,500 - 260,100 annually

Perks:Health InsuranceDentalVisionParental LeaveLife Insurance401kEquity

Key Requirements

•8+ years of product management experience with direct ownership of search or recommendation in a B2B product or marketplace.
•Experience building and scaling a search optimization and experimentation program with experimentation framework, relevance metrics, statistical rigor, and decision-making.
•Ownership experience for a personalization or recommendation surface, including product design challenges like cold start, feedback loops, and explainability.
•Track record of making product decisions from behavioral data by shipping, measuring, and scaling or stopping based on results.
•Demonstrated proficiency using AI agents and modern AI development tools to accelerate product discovery and delivery.

Experience:8+ yearsB2BMarketplace

Skills:Customer empathyData-driven decision makingCross-functional collaboration

Tech Stack:AgentforceAgentExchangeAppExchangeSlack MarketplaceTableau ExchangeMuleSoft ExchangeAI agentsAPI platform

Company Brief

Salesforce

Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Salesforce

1 day ago

Senior Product Manager, Search and Personalization

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 minutes agoStatus: Live

Job Summary

Location: San Francisco, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Seniority: Mid level

Key Responsibilities

•Own the buyer search experience on AgentExchange, diagnose performance gaps, define measurable search quality metrics, ship improvements, and run experiments.
•Define and drive the GenAI buyer search experience across AgentExchange, including multi-turn conversational search, AI-powered discovery, and relevance optimization.
•Own end-to-end search across AgentExchange surfaces, including search ranking, retrieval quality, and personalization to improve discovery and engagement.
•Drive authenticated personalization by building from org metadata and installed products to behavioral signals, peer benchmarks, and AI-generated recommendations.
•Continuously improve the marketplace experience by learning from interactions through systematic experimentation.

Pay and Benefits

Salary: USD 172,500 - 260,100 annually

Perks:Health InsuranceDentalVisionParental LeaveLife Insurance401kEquity

Key Requirements

•8+ years of product management experience with direct ownership of search or recommendation in a B2B product or marketplace.
•Experience building and scaling a search optimization and experimentation program with experimentation framework, relevance metrics, statistical rigor, and decision-making.
•Ownership experience for a personalization or recommendation surface, including product design challenges like cold start, feedback loops, and explainability.
•Track record of making product decisions from behavioral data by shipping, measuring, and scaling or stopping based on results.
•Demonstrated proficiency using AI agents and modern AI development tools to accelerate product discovery and delivery.

Experience:8+ yearsB2BMarketplace

Skills:Customer empathyData-driven decision makingCross-functional collaboration

Tech Stack:AgentforceAgentExchangeAppExchangeSlack MarketplaceTableau ExchangeMuleSoft ExchangeAI agentsAPI platform

Company Brief

Salesforce

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Francisco, United States

Founded: 1999

Glassdoor: 4.1

Website LinkedIn Glassdoor