Technical Product Owner (AI‑Native Product Lead)

Cotiviti·Remote(United States)
Product
Excel

WFA Digital Insight

As the demand for AI-driven solutions continues to surge, the need for skilled Technical Product Owners who can bridge business and technical teams has grown exponentially. With a 25% increase in job postings for AI-native product leads, this role is more critical than ever. Cotiviti, a pioneer in digital transformation, is now seeking a seasoned Technical Product Owner to drive its AI-native product strategy. To succeed, candidates will need to possess a unique blend of technical acumen, business savvy, and collaborative spirit. Before applying, candidates should be prepared to showcase their ability to distill complex business needs into actionable product requirements and demonstrate a deep understanding of AI-assisted development workflows.

Job Description

About the Role

The Technical Product Owner is a pivotal role at Cotiviti, responsible for translating business needs into clear, testable, and technically actionable requirements. As the product owner for a single AI-native team, this individual will work closely with the AI-Native Tech Lead and engineers to ensure the team is focused on building valuable, usable, and high-quality software. This role requires a unique blend of technical expertise, business acumen, and collaborative spirit, as the Technical Product Owner will serve as the primary source of truth for product intent and grounding context.

The successful candidate will be responsible for owning the product backlog, ensuring continuous readiness to support fast, iterative delivery. This will involve making day-to-day scope and sequencing decisions to minimize delivery friction and rework. The Technical Product Owner will also conduct interviews and requirements workshops with business and technical stakeholders to elicit and clarify business needs, translating these into well-structured, testable requirements.

As part of a small, focused team, the Technical Product Owner will enable delivery through AI-assisted engineering workflows, providing product intent and grounding context that guide both human and AI-assisted development. This includes clearly articulating problem statements, constraints, desired outcomes, and acceptance boundaries, ensuring implementation decisions remain aligned as delivery accelerates.

What You Will Do

  • Own the single-team product backlog, ensuring continuous readiness to support fast, iterative delivery
  • Conduct interviews and requirements workshops with business and technical stakeholders to elicit and clarify business needs
  • Translate business needs into well-structured, testable requirements
  • Maintain clear, precise documentation that enables efficient and accurate implementation
  • Provide product intent by articulating the problem being solved, desired outcomes, and constraints
  • Supply grounding context for both engineers and AI-assisted development workflows
  • Perform high-fidelity validation of epics before decomposition into features
  • Ensure epics are sufficiently precise, well-scoped, and grounded to support AI-assisted implementation
  • Identify and resolve ambiguity, hidden assumptions, and incomplete intent early to reduce downstream rework
  • Continuously validate work against product intent, grounding context, and expected outcomes as implementation progresses
  • Provide in-flight clarification and refinement of requirements to maintain alignment as engineers and AI-assisted workflows iterate rapidly

What We Are Looking For

  • 5+ years of experience in product management or a related field, preferably in an AI-native or tech environment
  • Proven expertise in defining and delivering software products, with a focus on AI-assisted development
  • Excellent understanding of software development principles, including Agile methodologies
  • Strong technical skills, including proficiency in Excel and experience with AI-assisted development tools
  • Ability to communicate complex technical concepts to non-technical stakeholders
  • Experience with product backlog management and prioritization
  • Strong problem-solving skills, with the ability to analyze complex problems and develop creative solutions
  • Collaborative spirit, with the ability to work effectively with cross-functional teams

Nice to Have

  • Experience with machine learning or artificial intelligence technologies
  • Knowledge of cloud-based platforms and technologies
  • Familiarity with DevOps practices and tools
  • Certification in product management or a related field

Benefits and Perks

  • Competitive compensation package
  • Opportunity to work with a pioneering company in digital transformation
  • Collaborative, dynamic work environment
  • Professional development opportunities, including training and education programs
  • Flexible work arrangements, including remote work options
  • Access to cutting-edge technologies and tools
  • Comprehensive benefits package, including health insurance and retirement plans

How to Stand Out

  • Be prepared to provide specific examples of your experience with AI-assisted development and product management, highlighting your ability to communicate complex technical concepts to non-technical stakeholders.
  • Develop a deep understanding of Cotiviti's products and services, as well as the current market landscape for AI-native solutions.
  • Showcase your proficiency in Excel and other technical tools, demonstrating your ability to analyze complex data sets and develop actionable insights.
  • Prepare to discuss your experience with Agile methodologies and product backlog management, highlighting your ability to prioritize and manage complex product requirements.
  • Be ready to provide examples of your collaborative spirit, highlighting your ability to work effectively with cross-functional teams and drive delivery through AI-assisted engineering workflows.
  • Research the company culture and values, demonstrating your understanding of Cotiviti's mission and vision.
  • Develop a portfolio of your work, showcasing your experience and skills in product management and AI-assisted development.

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