Senior Product Manager - AI Trust & Transparency

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

Help shape how trustworthy AI is designed, evaluated, and communicated across athenahealth's clinical products. The Senior Product Manager will lead the AI Trust & Transparency product area, developing evaluation, governance, and transparency capabilities that support safe, effective AI experiences for clinicians and administrators. This role is based in Boston, MA and operates in a hybrid work environment. This role reports to the Product Management Director within athena

Clinicals.

The Clinical Foundations team builds shared capabilities that support athenahealth's electronic health record products. The team serves both internal stakeholders building AI-powered clinical products and clients who need confidence in those products. This includes developing AI evaluation methods, governance, and systems for demonstrating performance and trustworthiness to clinicians, administrators, clients, and prospects. Team members partner with Product, Engineering, Design, Data Science, Patient Safety, Legal, Sales, Customer Success, and Product Marketing, while working with scrum teams in Boston and India.

The team uses AI evaluation and observability platforms such as Arize and Kubeflow to assess solutions built with third-party large language models and internally developed machine learning models.

• Define the product vision, strategy, business cases, and multi-release roadmap for the AI Trust & Transparency area.
• Lead the end-to-end product development lifecycle, including problem definition, requirements, user experience, objectives and key results, delivery, and measurement of customer and business outcomes.
• Serve as Product Owner for assigned scrum teams by defining epics and user stories, prioritizing the backlog, and making informed trade-offs among customer value, scope, timing, and technical constraints.
• Determine whether experiments, alpha, and/or beta stages are needed to determine Product-Market fit and appropriately define and utilize them.
• Establish and monitor performance measures that provide visibility into product outcomes, risks, and opportunities for improvement.
• Partner with Product, Engineering, Design, Data Science, Patient Safety, Legal, and business leaders to align product decisions with healthcare safety, regulatory, and operational needs.
• Evaluate market conditions, customer needs, product dependencies, and business value to guide prioritization and product investment decisions.
• Collaborate with Sales, Customer Success, and Product Marketing to develop clear customer-facing product information and service descriptions.
• Support product teams in applying shared AI evaluation tools and governance practices to their business areas.
• Share product management and responsible AI practices with colleagues through coaching, documentation, and working sessions.
• Contribute to planning and coordination across the broader Product Management organization.

• At least 8 years of relevant professional experience, including 4 or more years in product management.
• Practical experience with large language model evaluation methods, such as deterministic testing, model-based evaluation, human annotation workflows, and online evaluation.
• Experience with LLM evaluation methods (such as deterministic evaluations, LLM-as-Judge approaches, human annotation workflows, and online evaluations), machine learning, AI model card building, or evaluation and observability platforms such as Arize, Datadog, Lang Smith, or Braintrust.
• Experience designing or managing responsible AI solutions in regulated or high-impact environments, including safety testing, hallucination risk management, bias evaluation, auditability, data lineage, or compliance.
• Knowledge of modern AI systems and practices, including large language models, retrieval-augmented generation architecture, AI agents, observability, evaluation pipelines, model governance, prompt engineering, explainability, traceability, and production AI operations.
• Experience working with Agile or Scrum product development teams.
• Ability to analyze complex problems, use qualitative and quantitative evidence, and develop scalable product solutions.
• Clear written and verbal communication skills for working with customers, senior leaders, and cross-functional partners.
• Experience using AI tools (e.g.,…