Senior AI Product Lead

Job Description

The Senior AI Product Lead owns the end-to-end value delivery of AI/ML initiatives, ensuring that what is built not only functions technically, but is actively adopted and drives measurable business impact. This role is responsible for defining and validating the value hypothesis for each pilot sprint, translating business needs into clear product requirements, and ensuring solutions are practical, usable, and aligned to real-world workflows. This individual partners closely with both technical teams and business stakeholders, co-designing user experiences with platform partners while embedding directly with end users across functions such as sales, operations, and R&D/Regulatory. Unlike a traditional project manager, this role is accountable for outcomes—not timelines—with a strong focus on adoption, usability, and tangible business results

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

• Experience as a Senior Product Manager building and launching AI/ML products with measurable business impact.

• Strong ability to operate in matrixed, enterprise environments at scale.

• Solid technical fluency—comfortable defining data requirements and evaluating technical tradeoffs.

• Deep business empathy—able to understand and prioritize real user needs across functions.

• Proven ability to drive adoption with end users, not just deliver features.

• Comfortable working hands-on with users on-site, gathering insights and iterating quickly.

• Strong communication and stakeholder management skills across business, product, and engineering teams.

Outcome-driven mindset with a focus on value delivery vs. project execution.