FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI fundamentalsML fundamentalsLLMsprompt designquality managementrisk managementmodel capabilitiesSaaS AI servicesevaluation pipelinesdata privacy
Soft Skills
empathy for userscommunicationpresentation skillsproblem-solvingcollaborationadaptabilitycritical thinkinguser flow analysistrust buildingiterative development
Tools & Technologies
APIsthird-party AI solutionsEHRpractice management softwarediagnostic toolsAI quality frameworkshuman-in-the-loop patternsregulatory compliance toolsproduct management toolsB2B SaaS platforms
Industry Keywords
healthcaremedtechregulated domainsAI integrationuser workflowsAI-specific riskshallucinationbiasregulatory constraintsagentic AI
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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.
- 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.
- Strong English (B2+)
- Comfortable presenting roadmaps and trade-offs explaining the "why," not just the "what."
- Bonus points for: 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.
Benefits
Comp & perks- Remote-first and async-friendly with flat organizational structure
- A culture that values personal growth as much as business outcome
- Hard, meaningful problems - not chatbot wrappers, but AI that changes how clinics work
- Direct customer contact - you'll see the impact of your decisions, not just read about it in a report
- A chance to define how AI shows up in a platform used daily by thousands of hearing care professionals
- Real ownership over the AI product direction, not an advisory role
- A global team that spans Denmark, Ukraine, UK, Poland, Canada, Australia, USA, and more.
- A high bar for engineering and product quality
- A team that values depth over hype: production quality over flashy prototypes