Auditdata
Healthcare
ProductOwner-AIServices
Neural analysis suggests this role is
optimal for experienced candidates.
“Product Owner - AI Services at Auditdata. Skills: Product strategy, Roadmap, User stories. Develop product strategy. Define product roadmap”
Industry & Context.
What You'll Do.
Develop product strategy
Define product roadmap
Collaborate with cross-functional teams
How You'll Work.
Team & Collaboration
Cross-functional teams
Process & Methodology
Roadmap planning
Full Job Description
#### About the Role: 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 #### What you'll do: * 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. #### What you bring: * 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 u
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