Data & AI Product Manager

Job Category
:
Operations - Administrative

Requisition Number
: OPPOR
003937

• Posted :
  August 22, 2026
• Full-Time
• Remote

Showing 1 location

Remote
United States

At Salas O'Brien we tell our clients that we're engineered for impact. This passion for making a difference applies just as much to our team as it does to our projects. That's why we're committed to living our values every day: inspiring, achieving, and connecting as shared owners of our success with a focus on a sustainable future.

Building for the long-term means that all of our team members can expect to work on amazing projects with a people-first approach to problem solving. It also means that each member of our team has truly limitless potential to build a unique, meaningful, and high-impact career—and they'll receive great total rewards along the way.

Founded in 1975, Salas O'Brien is an employee-owned engineering and professional services firm focused on achieving impact for our clients, our team, and the world. We know that tomorrow's requirements are today's opportunities, and we are here to design lasting solutions for pressing challenges.

We work across a variety of industries providing integrated engineering and consulting services. Our specialized experience includes design for data centers, healthcare, science and technology, high-rise buildings, clean energy, education, and other building types as well as structural and building sciences, infrastructure asset management, advanced robotics, and more.

Our technical expertise is paired with an exceptional team of business development, human resources, finance and accounting, information technology, and marketing professionals, all of whom play a key role in bringing our commitments to life every day.

The Data & AI Product Manager will help shape the strategy, roadmap, requirements, adoption, and business value for a defined Data & AI product. This product management role is a great opportunity for someone who enjoys building practical, high-impact products with enterprise scope, multiple stakeholders, or direct revenue impact.

In this role, you will help shape what gets built, guide priorities, partner closely with the engineering pod, and support adoption so the product delivers meaningful, measurable value.

This is a hands-on product role for someone who enjoys moving between strategy and execution. You may write requirements, participate in refinement, lead demos, work through data quality questions with business partners, and share product progress with leadership or governance groups.

This role reports to the Director, Data & AI Product Management. You will work closely with an engineering pod that may include senior, mid-level, and junior Data & AI Product Engineers and interns. The ideal candidate will enjoy collaborating with technical teammates, providing thoughtful product direction, and helping the team build strong product practices together.

• Shape the product vision and roadmap, keeping both current as business needs and platform capabilities evolve.
• Manage and prioritize the backlog, and write clear requirements that help engineering teams deliver high-quality work efficiently.
• Make thoughtful prioritization decisions, including what moves forward now, what waits, and what may not be built, while helping stakeholders understand the tradeoffs and rationale.
• Guide the delivery cadence with the engineering pod, including refinement, sprint planning, reviews, and follow-through on key action items.
• Define success measures early and create practical ways to report adoption, value, and product performance with confidence.
• Support product adoption by engaging early users, partnering with the Communications & Education team on enablement, and identifying barriers to use.
• Build trusted relationships with stakeholders across business units, including groups with different needs, priorities, or levels of readiness.
• Help guide the product through governance and incorporate design controls into the product from the start.
• Share product progress, investment considerations, and recommendations with…