athenahealth

athenahealth

Senior Product Manager - AI Trust & Transparency

Boston MA · Senior · Full-time

H1B sponsorship available$141k-$239kDetected 30 days ago
DatadogMachine LearningSparkData ScienceNLPLLMsRAGAgentic AIProduct ManagementProduct StrategyAgileOKRsCustomer SuccessEHR/EMRResearchCommunicationCollaborationMentoring

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odds of building a lasting career here

61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 96%

Of 28 labor certifications old enough to have been used, 1 expired without the employer filing the next step. Median time from filing to decision: 486 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • This role is based in Boston, MA and operates in a hybrid work environment.
  • This role reports to the Product Management Director within athenaClinicals.
  • 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.

Responsibilities

  • 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.
  • Develop evaluation strategies and safe rollout approaches for AI features, including experiments, alpha testing, beta testing, and other validation methods when appropriate.
  • Develop capabilities that clearly explain how AI features work, how they were developed and evaluated, and what evidence supports their appropriate use.
  • Collaborate with Sales, Customer Success, and Product Marketing to develop clear customer-facing product information and service descriptions.
  • Our award-winning culture is built around shared values of inclusiveness, accountability, and support.

Requirements

  • Required: At least 8 years of relevant professional experience, including 4 or more years in product management.
  • Required: Practical experience with large language model evaluation methods, such as deterministic testing, model-based evaluation, human annotation workflows, and online evaluation.

Compensation

  • Expected Compensation

Benefits

  • Our company culture: Our talented employees - or athenistas, as we call ourselves - spark the innovation and passion needed to accomplish our vision.
  • We unite as mission-driven problem-solvers with a deep desire to achieve our vision and make our time here count.
  • Our DEI commitment: Our vision of accessible, high-quality, and sustainable healthcare for all requires addressing the inequities that stand in the way.
  • While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time.
  • In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons.

Company info

  • Define the product vision, strategy, business cases, and multi-release roadmap for AI trust, evaluation, governance, and transparency capabilities.
  • Translate clinician, administrator, client, and business needs into product requirements, including standards for accuracy, bias assessment, data quality, safety, and transparency.
  • 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.
  • 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.
  • Integrate AI-assisted research, analysis, requirements development, prototyping, and evaluation into product workflows; assess tool limitations and outputs, apply appropriate human review, and help team members use these methods responsibly.
  • Evaluate market conditions, customer needs, product dependencies, and business value to guide prioritization and product investment decisions.
  • 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.

Visa & Work Authorization

  • In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons
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This listing is sourced directly from athenahealth's careers page and normalized into a canonical job model.