Product Owner - AI Services

Auditdata•Webster, MA

9d•Remote

About The Position

AI is becoming central to what the platform can do - from clinical decision support to intelligent automation across workflows. But shipping AI features in healthcare isn't like shipping AI anywhere else. The stakes are higher, the trust threshold is real, and the gap between what's technically possible and what's actually useful in a clinic is where most AI products fail. We need a Product Owner who understands AI deeply enough to have real conversations with engineers, but thinks first about user problems - someone who can turn AI capabilities into features that clinics actually adopt, trust, and rely on. The role requires travelling across EU.

Requirements

5+ years in product ownership or product management, ideally in B2B SaaS.
Solid understanding of AI/ML fundamentals - enough to evaluate feasibility with engineers, challenge assumptions, and spot when something won't work. This is not a data scientist role.
Real grasp of LLMs - prompt design, quality and risk management, model capabilities, costs, latency, and context limits.
Experience evaluating and integrating third-party AI solutions - LLM APIs, SaaS AI services, off-the-shelf ML products.
Understanding of agentic AI concepts - tool use, planning, orchestration.
Deep empathy for users - you think in flows, friction points, and moments where the product earns or loses trust.
You make decisions when things are uncertain. You don't stall waiting for perfect information.
You lead by influence, not authority - you align cross-functional teams through clarity, trust, and data.
Comfortable presenting roadmaps and trade-offs explaining the "why," not just the "what."
Strong English (B2+)

Nice To Haves

Experience shipping AI features in healthcare, medtech, or other regulated domains where trust and safety are non-negotiable.
Background in clinical or practitioner-facing software - EHR, practice management, diagnostic tools.
You've worked with AI quality frameworks - evaluation pipelines, guardrails, human-in-the-loop patterns.
Experience managing AI-specific risks - hallucination, bias, data privacy, regulatory constraints.
Familiarity with how AI integrates into existing product ecosystems without breaking user workflows.
You've shipped AI features that real users adopted, not just prototypes that got applause internally.

Responsibilities

Own the AI product roadmap - break it down into features that can ship fast and deliver real value, not science projects.
Work with engineering to evaluate what's feasible - you understand LLMs, APIs, and agentic patterns well enough to scope realistically.
Talk to customers, sales, and customer success to understand where AI can solve actual problems.
Define what success looks like before building starts - clear metrics, clear outcomes, clear way to know if it worked.
Partner with product management to shape the AI vision and make sure the roadmap connects to company strategy.
Ship iteratively - get features in front of users early, learn fast, and adjust.

Benefits

A chance to define how AI shows up in a platform used daily by thousands of hearing care professionals.
Hard, meaningful problems - not chatbot wrappers, but AI that changes how clinics work.
Real ownership over the AI product direction, not an advisory role.
Direct customer contact - you'll see the impact of your decisions, not just read about it in a report.
Long-term engagement in a stable, growing SaaS company.
Remote-first and async-friendly with flat organizational structure.
High bar for engineering and product quality.
A team that values depth over hype: production quality over flashy prototypes.
A culture that values personal growth as much as business outcome.
A global team that spans Denmark, Ukraine, UK, Poland, Canada, Australia, USA, and more.