Product Manager

Job Description

This role is critical to ensuring AI solutions are not only technically sound, but solve the right problems, deliver measurable outcomes, and are positioned to scale across the organization.

Key Responsibilities

Own the product vision and roadmap for assigned AI use cases within the Accelerator program

Partner with business stakeholders to define problems, success criteria, and ROI targets

Prioritize use cases and features based on value, feasibility, and risk

Translate business needs into clear product requirements and acceptance criteria

Collaborate closely with AI Architects, Business Analysts, and Technical PMs throughout delivery

Ensure POCs are tied to measurable outcomes and clear scale‑readiness criteria

Support executive reviews by clearly articulating value, tradeoffs, and next steps

Drive alignment across business, technology, and governance stakeholders

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

7+ years of experience as a Product Manager on complex enterprise initiatives

Experience owning products or platforms in AI, data, analytics, or digital transformation

Strong ability to define value, success metrics, and business outcomes

Experience working in regulated or risk‑sensitive environments

Excellent stakeholder management and executive communication skills

Comfortable operating in ambiguity and fast‑moving pilot environments

Ability to work locally with Bay Area stakeholders (onsite / hybrid) he Product Manager will own use‑case prioritization, value definition, and delivery alignment, serving as the voice of the business throughout discovery, POC, and scale.

This role is critical to ensuring AI solutions are not only technically sound, but solve the right problems, deliver measurable outcomes, and are positioned to scale across the organization.

Key Responsibilities

Own the product vision and roadmap for assigned AI use cases within the Accelerator program

Partner with business stakeholders to define problems, success criteria, and ROI targets

Prioritize use cases and features based on value, feasibility, and risk

Translate business needs into clear product requirements and acceptance criteria

Collaborate closely with AI Architects, Business Analysts, and Technical PMs throughout delivery

Ensure POCs are tied to measurable outcomes and clear scale‑readiness criteria

Support executive reviews by clearly articulating value, tradeoffs, and next steps

Drive alignment across business, technology, and governance stakeholders

Required Qualifications

7+ years of experience as a Product Manager on complex enterprise initiatives

Experience owning products or platforms in AI, data, analytics, or digital transformation

Strong ability to define value, success metrics, and business outcomes

Experience working in regulated or risk‑sensitive environments

Excellent stakeholder management and executive communication skills

Comfortable operating in ambiguity and fast‑moving pilot environments

Ability to work locally with Bay Area stakeholders (onsite / hybrid)

Nice to Have

Utility, energy, or infrastructure domain experience

Experience supporting AI pilots, accelerators, or POC‑to‑production efforts

Familiarity with AWS‑based platforms and data ecosystems

Experience partnering closely with data science or engineering teams