Senior Product Manager, Data Products (AI)

Location: San Francisco, California, United States; workplace type: Office Tech-Flexible. Other listed locations include Palo Alto, New York, Atlanta, and Seattle.

Salary: $172,500–$260,100 annually; $207,800–$285,800 annually in select cities within the San Francisco and New York City metropolitan areas. Base salary only; bonuses, equity, and benefits are excluded.

Company

hirify.global is a collaboration platform within Salesforce, building AI-powered workplace and data experiences.

What you will do

• Define the strategy and roadmap for hirify.global Data Products.
• Build context for AI agents so they can discover, interpret, and reason over hirify.global data accurately.
• Develop tools, MCP servers, APIs, conversational analytics, dashboards, and notebooks that turn questions into insights and recommendations.
• Partner with product engineering, data engineering, data science, design, customers, and executives to understand workflows and deliver prototypes.
• Define success metrics, guide prioritization, and iterate continuously after launch.
• Bring experimentation and data-driven decision-making into hirify.global channels and turn internal tools into customer-facing features.

Requirements

• 5+ years shipping technical products as a product manager, data scientist, or analyst who shaped a product roadmap.
• Background in data science, data engineering, or product analytics.
• Working knowledge of A/B testing and the statistics behind product decisions.
• Hands-on experience building working prototypes with coding agents.
• Ability to explain technical tradeoffs clearly to engineers and executives.
• Understanding of the pain points of both data builders and data consumers, with the ability to generate independent insights.

Nice to have

• Experience building agents, MCP servers, or LLM products, including evaluations.
• Experience shipping data or analytics features to external customers.
• Experience driving adoption of a new tool or practice across an organization.
• Familiarity with semantic layers or data catalogs such as dbt and DataHub.
• Familiarity with experimentation platforms such as Statsig, Eppo, and Optimizely.
• Familiarity with warehouses and query engines such as Snowflake, Trino, and Spark.

Culture & Benefits

• Office Tech-Flexible workplace in the United States.
• Benefits include time off, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and employee stock purchasing.
• Reasonable accommodations are available during the application and recruiting process.
• Salesforce uses AI tools to assist with resume and qualification assessment; human reviewers make hiring decisions.
• Salesforce is an equal opportunity employer and considers qualified applicants with arrest and conviction records in accordance with applicable local laws.

Hiring process

• Applicants are encouraged to apply for a maximum of three roles within 12 months to avoid duplicate applications.
• Accommodation requests can be submitted through the accommodations request process.