Lead Product Manager- Agentic SDLC/ Claude Code (P4170)

Define and deliver scalable tools, frameworks, and repeatable patterns that enable teams to adopt AI in their development workflows.

Work closely with engineering, UX, and data science teams to deliver high-quality, impactful solutions.

Manage multiple backlogs and priorities across cross-functional teams in an agile environment.

Define success metrics and measure adoption, value realization, and efficiency improvements across the SDLC.

Drive continuous discovery through stakeholder interviews, research, and analysis of user workflows.

Ensure alignment with governance, security, and responsible AI practices.

The stated salary range represents the entire span applicable across all geographic markets from lowest to highest.  Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.

Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.

Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.

Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.

Own and drive the product roadmap, backlog prioritization, and value delivery for AI-powered SDLC tooling and strategy.

Partner with business stakeholders, engineers, and data scientists to identify opportunities to improve the SDLC using AI.

Translate business needs and developer workflows into product requirements, epics, and user stories.

Define and deliver scalable tools, frameworks, and repeatable patterns that enable teams to adopt AI in their development workflows.

Work closely with engineering, UX, and data science teams to deliver high-quality, impactful solutions.

Manage multiple backlogs and priorities across cross-functional teams in an agile environment.