Data & AI Product Manager

This is a fully remote position, open to applicants in United States.

📋 Description

• Shape the vision and roadmap of the product as business requirements and platform capabilities develop.

• Manage and prioritize the backlog while crafting clear requirements.

• Make decisions on prioritization and articulate trade-offs to stakeholders.

• Lead refinement sessions, sprint planning, reviews, and ensure follow-through with the engineering team.

• Establish success metrics and report on adoption, value, and performance of the product.

• Facilitate product adoption by engaging early users and collaborating on enablement efforts.

• Build and nurture relationships with stakeholders across various business units.

• Navigate the product through governance and integrate design controls.

• Present updates on product progress, investment considerations, and recommendations to leadership and governance committees.

• Provide product guidance and leadership for the assigned engineering team, including participation in hiring, development planning, performance management, and daily operations.

• Monitor usage, adoption, delivered value, and data quality.

• Report to the Director of Data & AI Product Management.

• Travel up to 20% may be necessary.

⛳️ Requirements

• A minimum of seven years of experience in product ownership or management, particularly with data, analytics, or AI products delivered to production.

• Proven experience in creating clear backlogs, requirements, and acceptance criteria.

• Proficient SQL skills.

• Practical knowledge of modern data platform concepts, such as lakehouse architecture, layered data models, and data quality management.

• Experience in defining product success metrics and reporting progress to leadership.

• Background in working with stakeholders across various independent business units or lines of business.

• Experience in supporting an agile delivery rhythm with an engineering team.

• Bachelor’s degree in a technical, quantitative, or business discipline, or equivalent experience.

• Excellent written and verbal communication skills.

• Proven track record of leading a product, not merely managing a project.

• Ability to formulate clear and actionable requirements for both technical and business partners.

• Comfortable working with data, including SQL and model evaluation concepts.

• Capable of understanding user needs, championing product direction with senior stakeholders, and adapting based on evidence.

• Preferred: experience in architecture, engineering, construction, or professional services.

• Preferred: familiarity with Databricks, Unity Catalog, or similar governed data platforms.

• Preferred: experience with generative AI product patterns, including retrieval, evaluation, and human review workflows.

• Preferred: prior roles 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.