Lead Product Manager - AI Gateway (P4552)

Skilled in managing business priorities against design/user needs while delivering against product roadmaps

Skilled in managing end-to-end software product development.

Technical acumen – grasps the technical details to lead a team

Prior experience as a software engineer or Technical Product Manager – many of our customers are software engineers and data scientists.

Experience deploying or working on a team that has deployed AI/ML models in cloud-based settings.

Experience navigating corporate governance processes including Security, Cloud, Privacy, Data Sharing, and Legal.

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.

Drive business value for the team by prioritizing and ordering product backlog items based on the product roadmap, inclusive of product, engineering, UX and data science roadmaps.

Experienced in managing multiple teams’ product backlogs in parallel and ensuring they’re transparent, visible and clearly communicated.

Partner with cross-functional engineering, UX and data science peers to translate business desires/requirements into effective features and stories that are ready for development.

Partner with external contractors or technical support to ensure the delivery of the scope of work, within the agreed timeline, and in accordance to the stated acceptance criteria.

Deep understanding of the business domain, stakeholders, business processes and constraints in which your product(s) play

Deep understanding of customers/users’ problems, how they think and operate and the platforms/technology they use. Ability to become familiar with new technology, business domains, and/or analytical practices that impact your product(s).