Product Operations Lead - AI-Driven Delivery

Athenahealth India; Belfast (ME); Hybrid; USD 83,000 - 141,000; Full time

Benefits offered by this job

Commuter support

Tuition assistance

Employee resource groups

Collaborative workspaces

Flexible schedule

Dog-friendly offices

Job summary

athenahealth in the United States is seeking a Product Operations professional to help shape how product delivery, governance, and AI-enabled work flow across the portfolio are executed. You will partner with product managers and cross‑functional teams to support feature execution, ensure timely launches, and apply practical AI standards.

This hybrid role is based in Belfast, ME or Boston, MA with at least one day in the office each week, reporting to the Product Operations Manager.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5+ years of professional experience.
• 1–2 years of experience in product management, product operations, or a related field.
• Experience with AI tools such as Claude, GPT, Codex, or similar tools.
• Demonstrated ability to use AI and automation tools in daily work to improve productivity and decision‑making.
• Strong understanding of the software development lifecycle and agile methodologies.
• Experience working in healthcare technology is strongly preferred.
• Experience in virtual care, front‑end revenue cycle, or patient portal/patient experience work is preferred.
• Proven ability to influence partners across functions and levels without direct authority.
• Strong analytical and communication skills with the ability to translate complex information into clear actions.
• Comfort working in ambiguous, fast‑changing environments and adapting priorities as needed.
• Self‑directed approach to work with a focus on follow‑through and accountability.
• Travel may be required for customer engagements, team offsites, and industry events as needed.

Responsibilities

• Partner with product managers to support feature delivery from idea through general availability, surfacing risks, trends, and portfolio insights to inform decision‑making.
• Support alpha and beta planning by reviewing test design, challenging assumptions, and helping ensure features are measured against clear success criteria.
• Analyze portfolio data to identify risks, tradeoffs, and opportunities, and communicate recommendations that support product prioritization.
• Coordinate cross‑team dependencies and support adherence to product development timelines and operating cadences.
• Hold product managers and product analytics partners accountable for measuring business outcomes and user outcomes, not only adoption metrics.
• Establish and maintain AI best practices for Product Operations, including how AI tools are used for analysis, delivery, and decision support.
• Coach product managers and cross‑functional partners on responsible and effective AI use, including when AI can improve speed and where human review is needed.
• Support readiness and release activities for AI‑enabled product features by helping validate use cases, assess risk, and prepare customer‑facing materials.
• Identify opportunities to improve workflows through automation and AI‑enabled tools and help drive adoption of practical solutions that reduce manual work.
• Use AI tools to summarize information, draft analysis, and compare options more efficiently so you can spend more time validating decisions and improving the quality of product execution.

Skills

Product Operations

Cross-functional collaboration

AI tools

Data analysis

Stakeholder management

Education

Bachelor’s degree or equivalent

Tools

Claude

GPT

Codex

Job description

athenahealth in the United States is seeking a Product Operations professional to help shape how product delivery, governance, and AI-enabled work flow across the portfolio are executed. You will partner with product managers and cross‑functional teams to support feature execution, ensure timely launches, and apply practical AI standards.

This hybrid role is based in Belfast, ME or Boston, MA with at least one day in the office each week, reporting to the Product Operations Manager.