Product Manager

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.

Role Summary

Help shape how athenahealth teams build software in an AI-first environment. The Product Manager will identify, prioritize, and deliver tools or solutions that improve developer experience, productivity and software quality covering AI coding assistants, AI agents, MCPs, AI skills, and related DevTools. This role is based in Chennai, India in a hybrid work model and partners closely with engineering, internal platform teams, and R&D stakeholders to drive measurable outcomes. This role reports to the Product Management Director.

Team Summary

The DevTools team within athenahealth's Internal Developer Platform organization is responsible for identifying, implementing, and driving adoption of tools that improve engineering productivity, software quality, and developer experience across R&D. The team evaluates and scales solutions such as AI coding assistants, AI agents, AI skills, MCPs, and other supporting tools that enable teams to work more effectively. By combining product thinking, technical understanding, experimentation, and outcome measurement, the team helps ensure tool investments translate into meaningful improvements in speed, quality, and engineering effectiveness. The team works closely with product, engineering, and R&D partners to understand needs, guide adoption, and continuously optimize outcomes.

Essential Job Responsibilities

. Define product strategy and roadmap priorities for AI-enabled developer tools with a focus on productivity, quality, and developer experience outcomes.

. Manage backlog and scope for DevTools initiatives, ensuring prioritization is aligned to business value, user needs, technical feasibility, and measurable impact.

. Partner with the engineering manager to orchestrate delivery across pod structures, including planning, dependency management, sequencing, and release coordination.

. Lead discovery, evaluation, and experimentation for AI coding assistants, AI agents, MCPs, AI skills, and related capabilities to validate opportunities and inform product decisions.

. Engage R&D stakeholders to understand workflow pain points, capture requirements, and drive adoption strategies that improve utilization and outcomes.

. Establish and monitor success metrics related to adoption, usage, quality, productivity, and operational impact to guide iteration and investment.

. Translate developer experience needs into clear product requirements, user stories, and outcome-oriented execution plans aligned to an AI DLC mindset.

Additional Job Responsibilities

. Evaluate vendor offerings, market trends, and emerging practices in AI-assisted development and internal developer platforms.

. Support rollout readiness through communications, enablement materials, stakeholder updates, and structured feedback loops.

. Collaborate with cross-functional teams to align DevTools initiatives with platform strategy, governance, security, and operational standards.

. Identify opportunities to simplify developer workflows and reduce friction across the software delivery lifecycle.

. Facilitate discussions to clarify tradeoffs, resolve priority conflicts, and maintain focus on intended outcomes.

. Document product decisions, hypotheses, success criteria, and learnings from pilots and scaled implementations.

Expected Education & Experience

. 7 to 12 years of relevant experience in product management, platform product management, developer tools, enterprise software, or related domains.

. Demonstrated knowledge of AI-first product thinking, including AI coding assistants, AI agents, MCPs, AI skills, and AI-assisted software delivery workflows.

. Experience managing products or capabilities related to developer productivity, software quality, internal platforms, or DevTools.

. Experience with backlog management, scope management, prioritization, roadmap planning, and delivery coordination in partnership with engineering.

. Experience driving experimentation, adoption, and outcome measurement for tools, workflows, or platform capabilities.

. Understanding of developer experience product thinking and engineering user needs across the software development lifecycle.

. Ability to define metrics, interpret results, and use data to guide decisions, tradeoffs, and product iteration.

. Experience working with R&D stakeholders and cross-functional teams in agile or pod-based delivery models.

. Bachelor's degree or equivalent combination of education and relevant experience.