At a Glance
- Tasks: Lead the strategy and delivery of AI-enabled diagnostic software and workflow solutions.
- Company: Award-winning tech leader near Edinburgh with a global impact.
- Benefits: Competitive salary, bonus, hybrid work, and career growth opportunities.
- Other info: Fast-paced environment with cross-functional collaboration and strategic influence.
- Why this job: Make a real impact in AI-led software and innovate in healthcare.
- Qualifications: Experience in product management within AI or MedTech software.
The predicted salary is between 90000 - 90000 € per year.
Having placed a number of people into their teams ourselves, Lorien’s long standing client based near Edinburgh - a leader in their industry with a growing and consistently award-winning product line making a huge difference around the globe - have asked us to help them in their searches for a Product Manager to lead the strategy, development and delivery of AI-enabled diagnostic software and workflow solutions. This is a senior individual contributor role with broad ownership across the product lifecycle, from shaping roadmap priorities through to launch readiness and continuous improvement.
The successful candidate will work closely with technical, clinical, quality and commercial teams to turn market and user needs into well-defined product requirements. The role suits someone who can balance customer value, technical feasibility and regulatory expectations in a highly regulated software environment.
Role outline- Define and maintain the roadmap for AI and workflow products, ensuring alignment with business goals and customer needs.
- Translate market insight, clinical feedback and user requirements into clear product plans and specifications.
- Lead product planning across scope, priorities, milestones, dependencies and release activity.
- Coordinate cross-functional teams including software, data, clinical, quality, regulatory, security, service and commercial stakeholders.
- Own backlog priorities and support release governance, readiness decisions and change control activity.
- Drive risk management across product delivery, including performance, compliance, cybersecurity, privacy and continuity considerations.
- Support clinical evidence planning and regulatory submissions by ensuring product inputs and documentation are complete and fit for purpose.
- Contribute to data governance activities relating to model development, monitoring and product performance.
- Support business case development, budgeting and commercial planning for software and subscription-based offerings.
- Help shape product positioning, internal communication and go-to-market readiness for new releases and enhancements.
- Use customer feedback and post-release insight to improve usability, efficiency and workflow integration.
- Lead stakeholder discussions, ensuring decisions, actions and risks are clearly captured and progressed.
- Equivalent tenure and/or degree in a technical/scientific or business-related discipline; and ideally an advanced qualification in biomedical/computer science/data science/similar.
- Good grasp of AI and Machine Learning concepts, including datasets, validation, performance measures, monitoring and risk considerations.
- Previous track record of product management / Project Management within AI, MedTech oriented software/diagnostics/digital health and/or workflow oriented software products.
- Strong understanding of Software as a Medical Device or other regulated healthcare software environments.
- Experience working with cross-functional teams in complex product settings and influencing senior stakeholders.
- Knowledge of clinical evidence generation and regulated development standards (ISO / IEC).
- Familiarity with interoperability and workflow integration, such as DICOM, HL7, FHIR, PACS or EHR-linked environments.
- Understanding of Cloud or Software as a Service based product delivery models.
- Comfort working in a fast-paced setting where product decisions require both strategic thinking and hands-on delivery focus.
This is a strong opportunity for a product management professional who wants to influence the direction of AI-led software in a role that combines strategy, delivery and stakeholder leadership. If you enjoy working at the intersection of innovation, regulated software and value, this position offers real scope to make an impact. Apply now with your latest CV for immediate consideration.
Product Manager (AI & Workflow) – Near Edinburgh (Hybrid) – 90K plus Bonus in Livingston employer: Lorien
Join a leading company near Edinburgh that is at the forefront of AI and workflow solutions, where innovation meets impact. With a strong focus on employee growth, you will benefit from a collaborative work culture that encourages cross-functional teamwork and values your contributions. Enjoy a competitive salary package, including bonuses, and the unique advantage of working in a hybrid environment that promotes work-life balance while making a difference in the healthcare sector.
StudySmarter Expert Advice🤫
We think this is how you could land Product Manager (AI & Workflow) – Near Edinburgh (Hybrid) – 90K plus Bonus in Livingston
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Prepare for interviews by researching the company and its products. Understand their AI and workflow solutions inside out, so you can discuss how your experience aligns with their needs. Show them you’re not just another candidate!
✨Tip Number 3
Practice your pitch! Be ready to explain how your background in product management and AI can help them achieve their goals. Keep it concise but impactful – you want to leave a lasting impression.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Product Manager (AI & Workflow) – Near Edinburgh (Hybrid) – 90K plus Bonus in Livingston
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences that align with the Product Manager role. Highlight your experience in AI, workflow solutions, and any relevant project management roles to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about this position. Share specific examples of how you've successfully managed products in regulated environments and how you can contribute to our mission.
Showcase Your Technical Knowledge:Since this role involves AI and workflow products, don’t shy away from demonstrating your understanding of these areas. Mention any relevant tools, methodologies, or frameworks you’ve worked with that relate to the job description.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Lorien
✨Know Your Product Inside Out
Before the interview, dive deep into the company's AI and workflow products. Understand their features, benefits, and how they stand out in the market. This will help you articulate your vision for the product roadmap and demonstrate your genuine interest.
✨Prepare for Technical Questions
Brush up on your knowledge of AI, machine learning concepts, and regulatory standards relevant to software as a medical device. Be ready to discuss how you would handle compliance and risk management in product delivery, as these are crucial in a regulated environment.
✨Showcase Your Cross-Functional Experience
Think of examples from your past roles where you successfully coordinated with technical, clinical, and commercial teams. Highlight how you influenced stakeholders and drove product planning, as this will resonate well with what they're looking for.
✨Demonstrate Your Strategic Thinking
Be prepared to discuss how you would translate market insights and user feedback into actionable product plans. Share your approach to balancing customer value with technical feasibility, and how you would ensure alignment with business goals.
