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Vice President, Product

Remote / Online - Candidates ideally in
Minneapolis, Hennepin County, Minnesota, 55400, USA
Listing for: Aetonix
Remote/Work from Home position
Listed on 2026-02-06
Job specializations:
  • Software Development
    AI Engineer
Job Description & How to Apply Below

Aetonix is a rising leader in healthcare technology, connecting clinicians and patients through pathways of care. Our mobile platform, aTouch

Away, enables healthcare providers to reduce costs and improve the quality of care by managing, educating, and connecting patients, care teams, and caregivers through customizable healthcare protocols, remote patient monitoring, and telehealth. Today, our platform is used by tens of thousands of patients in hundreds of hospitals.

Beginning as a start-up 10 years ago, Aetonix recently joined the Trudell Medical Group to maximize the opportunity to change the face of healthcare. Professional health care providers are able to improve patient care through the aTouch

Away mobile platform for remote complex care management.

We are looking for a Vice President, Product located in the Minneapolis, Minnesota, Chicago, Illinois or Florida area. This is a remote-based role with periodic travel for Aetonix meetings (Ontario, Canada), conferences and clinician or patient research.

Reporting to the President, you are an experienced product leader who can think and operate at a strategic level, but can also drive execution at a hands-on, tactical level. You will own Aetonix's product vision and strategy across its chronic care management platform’s “zero to one” build. You will inspire, coach and empower product and engineering teams and establish the optimal level of rigor required for patient safety, privacy and regulatory, without slowing innovation or creating bureaucratic friction.

You will oversee a Product Manager (Discovery & Research), Technical PM, and Designer and aim to optimize cross-functional collaboration (from Strategy and Commercial, through to Technical and Compliance teams).

Role Responsibilities
  • Product Vision & Strategy
  • Define the product vision, solutioning and outcomes-driven roadmap, aligned to company strategy, and clinical and commercial goals
  • Translate the vision into quarterly OKRs for product and engineering teams
  • Provide engineering teams with requirements, priorities and acceptance criteria, informing “how to build” (solutioning, architecture and implementation)
  • Work with the CTO to define scope trade-offs, technical debt prioritization and release timing
  • Collaborate with Strategy and Commercialization to ensure the product vision is competitively differentiated, commercially validated and informed by market requirements
  • Pro-actively partner with Regulatory and Privacy to define "threshold excellence" criteria for each phase, to strategically sequence the product roadmap (rather than after-the-fact compliance)
  • Collaborate with Clinical, advisory boards to ensure clinical validity and workflow fit
  • Product Discovery, User Research & Solution Validation
  • Lead “zero to one” and eventually, continuous discovery across all clinician and patient user personas anticipated to vary by segment, technical literacy, demographics, and more, to inform product requirements
  • Own the product-side of the innovation partnership, including co-design sessions with innovation partners, and synthesis of partner insights
  • Oversee the team’s efficient execution of workflow and UX/UI design, end-user solution validation experiments (prototypes, MVPs, usability tests), technical feasibility analysis and post-market learning loops
  • Lead assumption-testing to understand workflow, integration and other solution differences between segments
  • Determine the minimum scope to ship compliantly while having validated clinical safety and regulatory compliance, and having embedded privacy-by-design into core PM processes
  • AI Driven Features
  • Oversee AI-driven features from rules-based automation through to predictive models, ensuring proper validation, clinical safety guardrails, explainability requirements, and human-in-the-loop controls. Define training data needs, feedback loops, and model performance criteria aligned to clinical outcomes.
  • Establish AI transparency, bias monitoring, and safety frameworks compliant with FDA AI/ML guidance for SaMD. Ensure AI features enhance (not replace) clinical judgment through appropriate confidence thresholds, override mechanisms, and audit trails
  • PM Execution &…
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