Senior Product Manager, Workforce Intelligence

New

Based in the United StatesFull-TimeSenior

Salary not disclosed

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Job Details

5+ years of product management experience, including end-to-end ownership of a B2B SaaS or data product serving technical audiences.
Demonstrated success improving adoption, retention, expansion, or revenue.
Experience taking a product or significant product area from discovery through launch and growth.
Strong product judgment in ambiguous or emerging markets, with ability to build clear investment cases.
Deep customer discovery experience across interviews, usage data, prototypes, and live product experiments.
Experience designing experiments capable of disproving product hypotheses.
Experience with developer tools, engineering intelligence, data and analytics products, or AI governance.
Working knowledge of software delivery workflows, including Jira, source control, and engineering performance measures.
Strong data fluency to collaborate on attribution models, instrumentation, and reporting methodologies.
Hands-on experience with modern AI tools and understanding of AI product considerations like model evaluation and governance.
Ability to establish trustworthy measures of human and AI-assisted work.
Demonstrated ability to align cross-functional stakeholders including sales, marketing, and engineering.

Own the Workforce Intelligence product strategy and roadmap, connecting priorities to activation, adoption, retention, and revenue outcomes.
Conduct continuous discovery with CTOs, VPs of Engineering, and engineering managers to understand how enterprises evaluate AI productivity and risk.
Translate uncertain customer problems into testable hypotheses, prototype solutions, and run experiments using real customer data.
Lead the evolution of trusted AI attribution and reporting, connecting activity and cost at the work-item level to executive insights.
Develop the product vision for agent oversight, including identifying agent-only work and providing context for reviewing results.
Shape benchmarking approaches for AI tools and models using customers' own teams and workflows.
Define connector and data strategies spanning AI providers, developer environments, and work management tools.
Partner with sales, marketing, and customer success on positioning, pricing, packaging, and launches.
Represent Workforce Intelligence with customers, partners, and senior leaders to build alignment across competing priorities.
Collaborate directly with engineering and design from problem definition through delivery.

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