Cotiviti is hiring a Technical Product Owner (AI‑Native Product Lead) based in the United States. The role pays between $90,000 and $124,000 annually and sits at the intersection of product management, technical delivery, and artificial intelligence. Understanding exactly what this job demands can help you assess your fit before applying.
This is not a traditional product owner role. Cotiviti has embedded this position inside a focused AI-Native team, making it unique in how it blends product strategy with AI-assisted engineering workflows. The expectations are specific, and the skill profile is equally precise.
What Does the AI‑Native Product Lead Actually Do
The role centers on owning the product backlog for a single AI-Native engineering team. You translate business needs into clear, testable, and technically actionable requirements. Every day involves scope decisions, story acceptance, and backlog prioritization.
A major responsibility is providing product intent and grounding context. This means articulating problem statements, constraints, and desired outcomes clearly enough that both human engineers and AI-assisted tools stay aligned. Ambiguity is the enemy here.
You also perform high-fidelity epic validation. Before any epic gets broken into features and stories, you verify it is precise, well-scoped, and ready. This reduces rework and keeps AI-assisted development effective and fast.
Technical Skills Required for This Role
Cotiviti is not asking for an AI or machine learning specialist. However, you must understand how AI-enabled development changes delivery speed and iteration cycles. That understanding shapes every product decision you make.
Backlog and Agile Tooling
Strong command of agile product ownership is non-negotiable. You need to write user stories, define acceptance criteria, and maintain backlog readiness at a pace that supports fast, iterative delivery. Tools like Jira, Azure DevOps, or similar platforms are standard in this environment.
Requirements Engineering
Requirements gathering and solution definition are core technical competencies here. You must break down complex business problems into precise, testable specifications. Vague requirements cause costly rework in any team, and that cost multiplies significantly when AI-assisted engineering is involved.
Understanding AI‑Assisted Development Workflows
You do not need to build AI models. You do need to understand how tools like GitHub Copilot, AI code reviewers, and generative development platforms change how engineers work. Knowing the capabilities and limitations of these tools helps you set realistic scope and sequence work effectively.
- Familiarity with AI-assisted coding environments
- Understanding of how prompt quality affects development output
- Knowledge of iteration cycles in AI-enabled teams
- Ability to define acceptance boundaries for AI-generated work
Technical Literacy Across Software Delivery
Software development lifecycle knowledge is essential. You work directly with a Tech Lead and engineers, so you need enough technical fluency to participate meaningfully in those conversations. You do not need to write code, but you must understand what makes a feature buildable versus underspecified.
Soft Skills That Matter at Cotiviti
Technical product ownership at this level demands more than process knowledge. The soft skills required are demanding and specific to the pace and structure of AI-Native teams.
Clarity and Precision in Communication
Precise written communication is arguably the most critical soft skill in this role. Product intent documents, problem statements, and acceptance criteria must leave no room for interpretation. Engineers and AI tools both rely on your words to make implementation decisions.
Vague language does not just slow teams down. In AI-assisted workflows, it produces outputs that miss the mark entirely. Writing with specificity is a skill you develop deliberately over time.
Prioritization Under Pressure
You make day-to-day scope and sequencing decisions to minimize delivery friction. That requires strong judgment about what matters most and when. Competing stakeholder demands, shifting business priorities, and engineering constraints all arrive simultaneously.
The ability to say no, or to defer features without losing stakeholder trust, is essential. Effective prioritization protects team velocity and product quality at the same time.
Collaborative Problem Solving
This role sits inside a small, focused team. You work closely with an AI-Native Tech Lead and engineers daily. Strong collaboration skills keep alignment tight without creating bottlenecks or handoff delays.
- Active listening during discovery and planning sessions
- Comfort navigating technical disagreements constructively
- Ability to synthesize input from engineers, stakeholders, and end users
- Willingness to iterate quickly based on team feedback
Adaptability in Fast Delivery Environments
AI-Native teams move faster than traditional agile teams. Adaptability is not optional here. You must adjust requirements, re-sequence work, and validate new epics at a pace that keeps engineers productive rather than waiting.
Experience Required for This Position
Cotiviti has structured this as a role for experienced product professionals. Entry-level candidates will find the responsibilities difficult to meet without prior ownership experience in technical environments.
Relevant background typically includes three or more years as a product owner or product manager in a software development setting. Experience writing detailed user stories and managing a live product backlog is expected, not preferred. You also need exposure to cross-functional team dynamics, particularly working alongside engineers and technical leads.
Prior experience in healthcare technology, data analytics, or enterprise software is advantageous given Cotiviti's core business. The company operates in healthcare analytics and payment accuracy, so domain familiarity helps you write better requirements faster. It is not mandatory, but it shortens your ramp time considerably.
Experience in environments where delivery velocity is high adds significant value. If you have worked on teams using continuous delivery, rapid iteration, or AI-assisted tooling, that experience translates directly into this role.
How to Build the Skills This Role Demands
If your current profile does not fully match these requirements, there are concrete steps you can take to close the gap over time.
Develop Technical Fluency Without Becoming a Developer
Take structured courses in software development fundamentals, APIs, and data systems. Platforms like Coursera, Pluralsight, and LinkedIn Learning offer product-specific tracks. The goal is conversational fluency, not coding proficiency. You want to understand trade-offs engineers discuss during planning.
Get Hands‑On With AI Development Tools
Experiment with GitHub Copilot, ChatGPT for code generation, and AI-assisted project tools directly. Understanding how these tools respond to well-formed versus poorly formed inputs builds practical intuition. You will write better acceptance criteria when you understand what AI tools need to succeed.
Practice Epic Validation and Story Writing Rigorously
Find opportunities in your current role to own backlog refinement more deeply. Volunteer to lead epic decomposition sessions, write acceptance criteria from scratch, and seek feedback from engineers on clarity. The discipline of high-fidelity epic validation is built through repetition and honest critique.
Pursue Relevant Certifications
- Certified Scrum Product Owner (CSPO) from Scrum Alliance
- Professional Scrum Product Owner (PSPO) from Scrum.org
- SAFe Product Owner/Product Manager for enterprise environments
- AI product management courses from SVPG or Reforge
Build Domain Knowledge in Healthcare Analytics
Read industry publications covering healthcare payment integrity, value-based care, and clinical data analytics. Cotiviti's products operate in these spaces. Domain knowledge accelerates your ability to translate stakeholder needs into actionable requirements from day one.
The Technical Product Owner (AI‑Native Product Lead) position at Cotiviti is a demanding, high-impact role that rewards candidates who combine product discipline with technical awareness and clear communication. The salary range of $90,000 to $124,000 reflects the level of expertise the company expects. Candidates ready to apply can visit the official listing at https://himalayas.app/companies/cotiviti/jobs/technical-product-owner-ai-native-product-lead.
