Product Owner, AI Solutions
Job Summary
About Us
Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable so the people responsible for care and cost decisions can act faster with confidence.
We help health plans break down data silos to create a single trusted data foundation. That foundation powers better decisions so plans can improve outcomes reduce waste and deliver better experiences for members and providers alike.
Backed by $100M from top investors were tackling big challenges in an industry thats ready for change. Our platform enables GenAI use cases by delivering clean connected and reliable healthcare data that can support automation prioritization and decision workflowsand its why we are leading the way.
Our innovation begins with people. We are bold curious and collaborativebecause the best ideas come from working together. Ready to make an impact Join us and lets build the future together.
About the Role
As a Product Owner in the AI Solutions team you will play a pivotal role in translating strategic direction into actionable product increments. You will work closely with engineering teams in India Nepal and the US to ensure that our generative AI platform delivers measurable value to healthcare payers with a focus on key business cases (i.e. Payment Integrity) and unstructured data solutions. This is an execution-focused role responsible for the how of delivery and sprint cadence while closely partnering with the Senior Product Manager who drives the what and why.
Your day to day
- Create and maintain a structured product backlog for GenAI solutions ensuring clear problem statements acceptance criteria and definitions of done.
- Own GenAI stories in Jira maintaining distinct boards sprint cadences and capacity visibility as defined by team processes.
- Break down high-level product and governance objectives into actionable user stories and tasks.
- Lead grooming sessions with engineers data modeling stakeholders and others to clarify scope estimate effort and prioritize work based on business value and readiness.
- Drive sprint planning coordinate daily stand-ups for the AI team and proactively remove blockers to ensure commitments are met and deliverables align with the roadmap.
- Define and execute acceptance testing for completed features verifying that data traceability outputs and governance capabilities meet requirements.
- Coordinate with security and compliance to ensure features meet auditability observability and hallucination control guardrails.
- Prepare release notes user guides and internal training materials; support deployments with DevOps and ensure client-facing documentation reflects new capabilities.
- Act as a liaison between product leadership engineering data modeling and platform teams; communicate progress and issues clearly.
- Track and report on key SDLC metrics (burndown velocity throughput capacity) and maintain a knowledge base of FAQs lessons learned and key decisions.
- Champion continuous improvement by applying agile best practices identifying process bottlenecks and leveraging AI tools for backlog management and documentation.
What you bring to the team
- 3 years as a Product Owner or similar role in a data-driven environment ideally supporting AI data platforms or healthcare products.
- Experience working with distributed engineering teams preferably across US and India time zones and familiarity with Scrum/Agile methodologies and tools (e.g. Jira Confluence).
- Demonstrated ability to translate strategic product direction into actionable backlog items groom stories with engineers and manage sprint cadence.
- Strong understanding of the software development lifecycle (SDLC) and release management with the ability to coordinate acceptance testing and quality assurance.
- Exposure to healthcare data (claims clinical or payer workflows) and AI/ML technologies.
- Excellent communication and organizational skills; comfortable interfacing with technical and non-technical stakeholders across product engineering security and sales.
- Fluency in English (required for India-based roles).
What we would like to see but not required
- Experience with healthcare interoperability standards (e.g. HL7 V2 FHIR X12).
- Experience with cloud technologies (AWS Azure GCP) Databricks or Snowflake.
- Prior work in a high-growth fast-paced startup environment.
What youll get in return
- Competitive Leave & Benefits
- Comprehensive health coverage
- Equity for every employee share in our success
- Growth-focused environment your development matters here
Work arrangements
- Standard hours: 8 hours/day 5 days/week
- Location: Pune Hybrid (3 days a week in office)
- Shift: 12pm-9pm IST
Our Commitment as an Equal Opportunity Employer
As a mission-led technology company helping to drive better healthcare outcomes Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas thoughts experiences and perspectives. Therefore we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.
At the heart of who we are is a commitment to continuously and intentionally building an inclusive cultureone that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If theres anything we can do to support thatbig or smallplease let us know.
About Company
Abacus Insights simplifies healthcare data with best-in-class data management solutions that improve data quality and drive valuable insights. We provide our customers with an intelligent platform that unlocks the value of data and removes the burden of maintaining legacy data managem ... View more