Product Manager - AI as a Medical Device
Product Manager - AI as a Medical Device

Product Manager - AI as a Medical Device

London Full-Time 43200 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead product development for AI medical devices, ensuring compliance and usability.
  • Company: Join Skin Analytics, a pioneering health tech firm transforming skin cancer diagnosis with AI.
  • Benefits: Enjoy competitive salary, share options, private healthcare, and generous leave policies.
  • Why this job: Be part of a mission-driven team making a real impact in healthcare and dermatology.
  • Qualifications: Experience in medical device development and AI products is essential.
  • Other info: Work 3 days on-site in London and enjoy a vibrant company culture.

The predicted salary is between 43200 - 72000 £ per year.

3 days on site in London

About Skin Analytics

Skin Analytics is an award-winning, health tech company that works with dermatology teams to deploy world-leading skin cancer pathways using AI as a medical device, DERM. Following our recent £15M series B funding round and regulatory milestones, we are ready to scale internationally, making history for AI in healthcare and the future of dermatology. We are proud to epitomise AI for good - with a Class III CE mark, DERM is the only AI as a medical device approved to make clinical decisions autonomously in the cancer space, as well as being the first company to receive a NICE recommendation for use across the NHS. DERM is deployed at more than 25 NHS organisations where we are supporting dermatology teams to build sustainable services that enable patients to gain quicker access to skin cancer diagnosis. We also collaborate with some of the largest health insurers to reach patients in their own homes. We are a team of passionate people on a mission to build a future where no one dies from skin cancer.

The role

We are looking to hire an entrepreneurial product manager, who thrives in ambiguity and can build new products that achieve great outcomes from scratch. You need to have experience building Medical Devices with an AI or innovative Software element to be successful in this role. If you can work from first principles, and are excellent at stakeholder engagement and management (including AI, Regulatory, Clinical & Design) this role is for you.

Responsibilities:

  • Product discovery: defining and validating product assumptions that fit within the regulatory landscape we operate in
  • Ensure that the product you are responsible for is valuable, viable, usable and feasible
  • Collaborate with AI, Clinical and Regulatory teams to shape an innovative but realistic roadmap
  • Collaborate with Engineering and Design teams to create intuitive solutions, that keep human factors in mind
  • Set clear, achievable milestones and guide the team through international regulatory submissions from a product perspective
  • Hold stakeholders accountable to the results
  • General data analytics to make sound product decisions

Requirements

Skills:

  • End to end experience building, delivering and maintaining medical devices with an innovative software element
  • Deep knowledge of how AI products are built - you don’t need to be an ML Scientist, but you do need to understand dependencies with product development
  • Strong experience working on front end, intuitive products in collaboration with designers
  • Proven experience in medical devices, including familiarity with ISO 14971
  • Proven experience of holding delivery teams accountable
  • Experience with the usability engineering process, including human factors studies, is desirable
  • Ability to work at pace & push the boundaries in ways of working, as medical devices are often developed using a more waterfall than agile approach.

Behaviours required:

  • First principles thinking - you like to dive deep and come up with novel solutions
  • Natural problem solver - the more complex, the better
  • Unafraid to challenge the status quo
  • Excellent communicator - engaging, to the point, precise and decisive

Benefits

  • Competitive salary
  • Share options package - all our employees have ownership in the company
  • Private healthcare
  • 25 days annual leave (plus 5 day company shutdown in August + bank holidays)
  • Enhanced parental leave - includes adoption & foster
  • Training budget
  • Weekly catch-ups, monthly meetings to talk about your ambitions and make plans
  • Lots of fun social activities including company offsite!

Our Values

  • Building a Strong Foundation
  • Always Learning
  • Lead from the Front
  • Tough and Resilient
  • The Real Stuff

Skin Analytics embraces and is committed to diversity and equal opportunities. We are dedicated to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be. If you need any changes made to our application process to accommodate your needs, please get in touch with maarty.ramakers@skinanalytics.co.uk.

The National Institute for Health and Care Excellence has recommended DERM for use within the NHS until May 2028, while further evidence is gathered.

Product Manager - AI as a Medical Device employer: Skin Analytics

Skin Analytics is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets purpose. With a strong commitment to employee growth through training budgets and regular catch-ups, we foster a culture of collaboration and inclusivity, ensuring that every team member feels valued and empowered. Our competitive benefits, including share options and private healthcare, alongside our mission to revolutionise skin cancer diagnosis, make us a truly rewarding place to work for those passionate about making a difference in healthcare.
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Contact Detail:

Skin Analytics Recruiting Team

maarty.ramakers@skinanalytics.co.uk

StudySmarter Expert Advice 🤫

We think this is how you could land Product Manager - AI as a Medical Device

✨Tip Number 1

Familiarise yourself with the regulatory landscape of medical devices, especially in relation to AI. Understanding ISO 14971 and how it applies to product development will give you a significant edge during discussions with stakeholders.

✨Tip Number 2

Network with professionals in the health tech and AI sectors. Attend relevant conferences or webinars to connect with others who have experience in building medical devices, as these connections can provide valuable insights and potential referrals.

✨Tip Number 3

Showcase your problem-solving skills by preparing examples of complex challenges you've tackled in previous roles. Be ready to discuss how you approached these issues and the innovative solutions you implemented.

✨Tip Number 4

Demonstrate your communication skills by engaging with the company’s content on social media or their website. Comment thoughtfully on their projects or share relevant articles, which can help you stand out as a proactive candidate.

We think you need these skills to ace Product Manager - AI as a Medical Device

Product Management
Medical Device Development
AI Product Knowledge
Stakeholder Engagement
Regulatory Compliance
Data Analytics
Usability Engineering
Human Factors Studies
Agile Methodologies
First Principles Thinking
Problem-Solving Skills
Communication Skills
Collaboration with Design Teams
ISO 14971 Familiarity
Accountability in Delivery Teams

Some tips for your application 🫡

Understand the Company and Role: Before applying, take time to understand Skin Analytics and their mission. Familiarise yourself with their product, DERM, and how it operates within the healthcare landscape. This knowledge will help you tailor your application to reflect your alignment with their values and goals.

Highlight Relevant Experience: In your CV and cover letter, emphasise your experience in building medical devices, particularly those with AI or innovative software elements. Be specific about your past roles and how they relate to the responsibilities outlined in the job description.

Showcase Problem-Solving Skills: Given the emphasis on first principles thinking and natural problem-solving in the role, provide examples of complex challenges you've faced in previous positions. Detail how you approached these problems and the outcomes of your solutions.

Communicate Clearly and Effectively: Ensure your application is well-structured and free of jargon. Use clear, concise language to convey your ideas and experiences. Remember, excellent communication is a key requirement for this role, so let that shine through in your writing.

How to prepare for a job interview at Skin Analytics

✨Understand the Product Landscape

Familiarise yourself with Skin Analytics' DERM product and its role in AI as a medical device. Be prepared to discuss how your experience aligns with the innovative software elements and regulatory requirements of medical devices.

✨Showcase Your Problem-Solving Skills

Prepare examples that demonstrate your ability to tackle complex problems, especially in ambiguous situations. Highlight instances where you’ve successfully navigated challenges in product development or stakeholder management.

✨Engage with Stakeholders

Since stakeholder engagement is crucial for this role, think of ways you've effectively communicated and collaborated with diverse teams. Be ready to discuss how you hold teams accountable and ensure alignment towards common goals.

✨Emphasise First Principles Thinking

Illustrate your approach to first principles thinking by discussing how you break down complex problems into manageable parts. This will show your potential employer that you can innovate and create effective solutions from scratch.

Product Manager - AI as a Medical Device
Skin Analytics
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  • Product Manager - AI as a Medical Device

    London
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-06-23

  • S

    Skin Analytics

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