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Eco Plus Solutions AB

German Speaking Technical Health Product Manager (Remote)

Posted 2 hours ago
€60000 - €90000 per year
2-5 years experience
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AI Summary

You will lead the end-to-end product lifecycle for AI-driven clinical software, from user discovery and technical specification to production deployment. You will collaborate with cross-functional teams to ensure regulatory compliance while driving product strategy and AI quality benchmarks.

Job Title: Technical Health Product Manager

Location: Fully Remote (Germany)

Industry: HealthTech / B2B SaaS

Employment Type: Full-Time, Permanent

Compensation: €60,000 – €90,000 + meaningful equity

Languages Required: Professional German (C1) & English (C1)

About Us & Our Mission

Our core objective is straightforward: liberate psychotherapists from burdensome administrative routines using intelligent AI tools, returning valuable hours back to direct patient care. Operating in a fast-paced HealthTech environment, we are building software at the intersection of state-of-the-art Large Language Models (LLMs), real-world therapeutic workflows, and stringent European medical device regulatory frameworks (EU MDR).

Position Overview

As our inaugural Technical Product Manager, you will assume full end-to-end responsibility for our flagship AI-driven clinical and administrative software solutions from day one. Working 100% remotely within Germany, you will collaborate side-by-side with our founding team, CTO, clinical researchers, and UI/UX designers to helm user discovery, draft technical documentation, establish AI output quality benchmarks, and take novel software capabilities from initial concept through to live production deployment.

Key Responsibilities

  • Drive End-to-End Ownership: Direct user discovery, product specification, roadmap prioritization, and feature rollouts across clinical and administrative software tools within a distributed remote setup.
  • Guide Product Strategy: Establish and communicate our product roadmap, weighing critical trade-offs between incremental platform improvements and transformative new project bets.
  • Uncover Deep User Needs: Connect directly with mental health practitioners via remote interviews, contextual observations, and workflow analyses to transform complex clinical pain points into executable product requirements.
  • Build AI Benchmarks: Co-create accuracy standards alongside engineering and clinical teams for AI-assisted documentation, embedding these criteria into robust evaluation frameworks and prompting strategies.
  • Draft Technical Specs & Prototypes: Author detailed specifications, architectural decision records, and edge-case operational models; leverage modern AI tooling to quickly build independent product concepts without relying solely on engineering bandwidth.
  • Embed Compliance (EU MDR): Incorporate regulatory compliance standards (SaMD / EU MDR) directly into early product designs, coordinating risk control and clinical review procedures into your core workflow.
  • Launch & Refine: Partner closely with go-to-market functions to launch fresh functionality, monitoring real-world usage metrics and rapidly iterating based on practitioner feedback.

Candidate Profile & Requirements

Must-Have Qualifications:

  • Experience: 4+ years of B2B Product Management experience, with a track record where success derived from mastering deep product complexities rather than high-level project coordination.
  • Regulated Environments: Proven track record shipping software inside high-stakes domains (e.g., HealthTech, MedTech, or heavily regulated spaces). You excel at balancing strict regulatory rules (EU MDR), specialist end-user expectations, high quality standards, and technical AI potential.
  • Practical LLM Knowledge: Strong understanding of prompt engineering, model boundaries, evaluation frameworks, and the steps required to deploy reliable AI features into production environments.
  • Written Communication: Exceptional skill in drafting precise specifications, decision documents, and asynchronous problem briefs.
  • Hands-On Execution: A self-driven work ethic focused on authoring specs, building evaluation test suites, and personally validating clinical outcomes.
  • Languages: Professional business fluency in German (C1) and English (C1).
  • Location: Residence in Germany for full-time remote employment.

Nice-to-Haves:

  • Direct background with digital health software or certified medical devices (EU MDR, IEC 62304).
  • Academic background or practical experience in psychology, mental healthcare, or therapy operations.
  • Track record of scaling generative AI applications or establishing evaluations for live production models.
  • Early-stage experience as an inaugural product manager or establishing 0-to-1 product development processes.

Core Values & Mindset

  • Empathy: We build software with deep respect for care providers, making sure our tech reduces administrative friction rather than creating extra work.
  • Trust: We maintain uncompromised standards regarding data privacy, patient security, and internal team transparency.
  • Quality: We prioritize technical precision and medical accuracy over superficial features—our platform must consistently support actual clinical care.
  • Autonomy: High personal initiative, clear accountability, and self-direction within an asynchronous, remote-first environment.

What We Offer

  • High-Impact Role: Work closely alongside the co-founders and CTO as our very first Product Manager, directly guiding the trajectory of core software products.
  • Purpose-Driven Work: Actively reduce burnout among therapists by automating heavy paperwork demands.
  • Rapid Professional Growth: Build at the leading edge of generative AI applications, clinical research, and medical software compliance.
  • Agile Execution: Fast-paced environment where ideas transition into live production features in a matter of days.
  • Flexible Working & Perks: 100% remote work setup within Germany, 28 annual vacation days, competitive base salary (€60,000 – €90,000), and a generous equity package.
  • .

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