Data & AI Product Manager

Salas O'Brien

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.

Posted 8/22/2026full-timeRemote • Tennessee • 🇺🇸 United StatesSeniorLead💰 $145,000 - $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product management and ownership, particularly in data, analytics, and AI products. Capable of defining product vision, managing backlogs, and leading cross-functional teams while effectively communicating with stakeholders.

Highest-signal resume keywords

Product ManagementSQL SkillsAgile DeliveryData Quality ManagementStakeholder Engagement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product OwnershipBacklog ManagementRequirements DefinitionSuccess Metrics DefinitionData Platform Concepts

Soft Skills

Strong Communication SkillsTeam LeadershipStakeholder Relationship Building

Tools & Technologies

DatabricksUnity CatalogLakehouse Architecture

Industry Keywords

Data ProductsAnalyticsAI ProductsGovernanceProfessional Services

Tech Stack

Tools & technologies

AWSAzureCloudPMPSQLTerraformUnity

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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