Data & AI Product Manager
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Job Description
Data & AI Product Manager shaping roadmaps, adoption, and governance for production data and AI products at Salas O’Brien. Partnering with engineering pods and business stakeholders to deliver measurable value.
Responsibilities:
- Shape the product vision and roadmap as business needs and platform capabilities evolve
- Manage and prioritize the backlog and write clear requirements
- Make prioritization decisions and explain tradeoffs to stakeholders
- Guide refinement, sprint planning, reviews, and follow-through with the engineering pod
- Define success measures and report adoption, value, and product performance
- Support product adoption by engaging early users and partnering on enablement
- Build relationships with stakeholders across business units
- Guide the product through governance and incorporate design controls
- Present product progress, investment considerations, and recommendations to leadership and governance committees
- Provide product direction and team leadership for the assigned engineering pod, including input into hiring, development planning, performance, and day-to-day execution
- Monitor usage, adoption, value delivered, and data quality
- Report to the Director, Data & AI Product Management
- Travel up to 20% may be required
Requirements:
- 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
- Working SQL skills
- Practical familiarity with modern data platform concepts, including lakehouse architecture, layered data models, and data quality management
- Experience defining product success metrics and reporting progress to leadership
- Experience working with stakeholders across independent business units or lines of business
- 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
- Ability to create clear and actionable requirements for technical and business partners
- Comfort working with data, including SQL and model evaluation concepts
- Ability to understand user needs, advocate for product direction with senior stakeholders, and adjust course based on evidence
- Preferred: experience in architecture, engineering, construction, or professional services
- Preferred: experience with Databricks, Unity Catalog, or a comparable governed data platform
- Preferred: experience with generative AI product patterns, including retrieval, evaluation, and human review workflows
- Preferred: prior experience as a data engineer, analyst, or software developer
Benefits:
- Performance-based bonus
- Medical, dental, and vision insurance
- 401(k) with company match
- Paid time off and company holidays
- Wellness programs
- Employee assistance resources
- Professional development support
- Employee-owned company
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