Senior Product Manager, AI & Growth (Enterprise)

Gallup; San Francisco (CA); On-site; USD 200,000 - 240,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k) with employer match

Employee stock ownership plan

Mass transit reimbursement

Family-building benefits

Employee assistance program

Job summary

Gallup is seeking a Senior Product Manager in San Francisco to own a portfolio of initiatives end-to-end, partnering with engineering, design, research, and leadership to drive adoption and ROI. The role emphasizes AI-enabled features, rigorous prioritization, and collaboration with enterprise clients and executives.

You will define scope, measure success, and guide product launches, balancing short-term delivery with long-term strategy in a data-driven environment.

Qualifications

• Six years of product management experience with strategy and execution.
• Experience sizing opportunities and building business cases.
• Strong stakeholder management with enterprise clients and executives.

Responsibilities

• Identify and size market opportunities using customer insights, signals, and Gallup data.
• Build business cases and align roadmaps with core products.
• Define success metrics, ROI expectations, and stop conditions before development.
• Drive end-to-end product decisions and prioritize initiatives.
• Engage with enterprise clients and senior stakeholders to test ideas.

Skills

Product strategy

Cross-functional leadership

Opportunity sizing

Stakeholder management

B2B SaaS experience

AI / LLM experience

End-to-end ownership

Education

Bachelor's degree in CS/related field

Job description

Gallup is seeking a Senior Product Manager in San Francisco to own a portfolio of initiatives end-to-end, partnering with engineering, design, research, and leadership to drive adoption and ROI. The role emphasizes AI-enabled features, rigorous prioritization, and collaboration with enterprise clients and executives.

You will define scope, measure success, and guide product launches, balancing short-term delivery with long-term strategy in a data-driven environment.