Note: The job is a remote job and is open to candidates in USA. Salas O’Brien is an employee-owned engineering and professional services firm focused on delivering lasting solutions for complex challenges. The Data & AI Product Manager will shape the strategy, roadmap, requirements, adoption, and business value of a defined Data & AI product while guiding engineering delivery, stakeholder alignment, governance, and product performance.
Responsibilities
- 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 leadership and governance committees in a clear, practical, and business-oriented way
- Provide product direction and team leadership for the engineering pod assigned to the product, including input into hiring, development planning, performance, and day-to-day execution
Skills
- Seven or more years of experience in product ownership or product management, including data, analytics, or AI products delivered to production
- Experience creating clear backlogs, requirements, and acceptance criteria that help engineering and business stakeholders stay aligned
- Working SQL skills and practical familiarity with modern data platform concepts, such as lakehouse architecture, layered data models, and data quality management
- Experience defining product success metrics and sharing progress with leadership in a way that connects product performance to business value
- Experience working with stakeholders across independent business units or lines of business where priorities may differ
- Experience supporting an agile delivery cadence with an engineering team
- Bachelor's degree in a technical, quantitative, or business discipline, or equivalent experience
- Strong written and verbal communication skills
- Demonstrated experience leading a product, not just a project, with the ability to explain prioritization decisions and tradeoffs
- Ability to create requirements that are clear and actionable for both technical and business partners
- Comfort working with data, including using SQL, understanding model evaluation concepts, and helping teams distinguish technical defects from unclear or undocumented business rules
- Ability to understand user needs, advocate for product direction with senior stakeholders, and adjust course when stronger evidence supports a change
- This position is remote within the United States
- Travel up to 20% may be required to support business stakeholder engagement, leadership meetings, and team collaboration activities
- Experience in architecture, engineering, construction, or professional services, particularly with systems related to project accounting, resource planning, or design tooling
- Experience leading a product that was commercialized externally or included regulatory or governance obligations
- Hands-on experience with Databricks, Unity Catalog, or a comparable governed data platform
- Experience with generative AI product patterns, including retrieval, evaluation, and human review workflows
- Prior experience as a data engineer, analyst, or software developer
- Experience introducing a product in an organization where adoption depended on user engagement, enablement, and demonstrated value
Benefits
- Performance-based bonus
- Medical, dental, and vision insurance
- 401(k) with company match
- Paid time off and company holidays
- Wellness programs and employee assistance resources
- Professional development support
Company Overview