At a Glance
- Tasks: Lead AI solutions in healthcare, bridging teams for successful deployment and innovation.
- Company: Pangaea Data, a cutting-edge AI company transforming healthcare.
- Benefits: Flexible hours, private medical insurance, life insurance, and travel cards.
- Other info: Opportunity to learn from experienced entrepreneurs and engage with venture capitalists.
- Why this job: Join a fast-growing team and make a real impact in healthcare technology.
- Qualifications: Degree in Computer Science or related field; experience with AI/ML systems.
The predicted salary is between 60000 - 80000 € per year.
Lead delivery of cutting-edge AI solutions in healthcare by bridging engineering, product, and customer teams to drive successful deployment, adoption, and continuous platform innovation.
The Role
- Key Responsibilities:
- Customer & Partner Engagement
- Participate in technical discussions with customers, partners, and strategic stakeholders.
- Explain AI capabilities, deployment approaches, and system architecture to technical and non-technical audiences.
- Support implementation projects, technical workshops, and solution design activities.
- Prepare technical materials for business development activities (e.g. demos, proposals, RFP responses).
- Cross-Functional Collaboration
- Work closely with clinicians, product managers, and commercial teams to understand real-world healthcare challenges.
- Gather internal and external feedback to inform product development priorities.
- Communicate upcoming platform changes and support successful feature adoption.
- Contribute to research publications and thought leadership.
- Platform Delivery
- Work closely with engineers to understand the product development and roadmap.
- Ensure high standards of software quality, testing, documentation, and maintainability.
- Monitor performance of deployed features and drive continuous product improvement.
- Technical Leadership
- Translate business and product goals into clear technical priorities and deliverables.
- Contribute to definition and execution of the AI product and technology roadmap.
- Evaluate emerging AI technologies and assess relevance to platform evolution.
- Mentor engineers and promote best practices in engineering and architecture.
- Requirements
- Technical Experience
- Degree (Bachelor’s or higher) in Computer Science, Data Science, Engineering, Informatics, or a related field.
- Strong hands-on experience building and deploying AI / ML / DL / NLP / LLM systems in production environments.
- Proficiency in Python and modern AI frameworks and tools (e.g. PyTorch, Transformers, Scikit-learn, OpenAI Codex, Claude Code).
- Experience with data engineering, APIs, distributed systems, and cloud platforms (Azure / AWS / GCP).
- Experience working with structured and unstructured healthcare data or complex enterprise datasets.
- Familiarity with Linux environments and modern development workflows.
- Leadership & Stakeholder Skills
- Experience leading technical projects or mentoring engineers.
- Comfortable engaging directly with customers and senior stakeholders.
- Ability to communicate complex technical concepts clearly and pragmatically.
- Strong product mindset and focus on delivering real user value.
- Nice to Have
- Experience integrating with healthcare systems (e.g. EHR platforms such as Epic or Cerner).
- Experience building commercial software products in regulated environments.
- Publications or research experience in AI / ML / DL / NLP / LLM or biomedical informatics.
- Startup or scale-up experience.
Perks and Benefits
- Flexible working hours.
- Benefits include private medical insurance, life insurance and travel cards.
- You would join a small, dedicated and fast-growing team.
- You will have the opportunity to learn about building a startup business from experienced professionals and serial entrepreneurs.
- We are currently supported by serial entrepreneurs and angel investors. You will have the opportunity to experience an investment life cycle for a startup and meet leading venture capitalists.
Application Contact Information
Your application should include your CV and cover letter highlighting your relevant experience. Please email your application.
Technical Project Manager employer: Pangaea Data Limited
Pangaea Data is an exceptional employer, offering a dynamic work environment in London where innovation meets healthcare. With flexible working hours, comprehensive benefits including private medical insurance, and the chance to learn from seasoned professionals in a fast-growing startup, employees are empowered to drive meaningful change in AI solutions for healthcare. The collaborative culture fosters cross-functional teamwork and provides ample opportunities for personal and professional growth, making it an ideal place for those passionate about technology and its impact on patient care.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Project Manager
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those who work at Pangaea or similar companies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills and understanding AI applications in healthcare. We recommend practising common interview questions and scenarios related to project management and technical leadership.
✨Tip Number 3
Showcase your passion for AI and healthcare during interviews. Share examples of how you've tackled challenges in previous projects, and don’t forget to highlight your collaborative spirit!
✨Tip Number 4
Apply through our website for the best chance of getting noticed. Tailor your application to reflect the key responsibilities and requirements mentioned in the job description, and let your enthusiasm shine through!
We think you need these skills to ace Technical Project Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Technical Project Manager role. Highlight your experience with AI solutions, project management, and any relevant technical skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in healthcare and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills:Don’t forget to highlight your technical expertise! Mention your hands-on experience with AI/ML systems, Python, and any cloud platforms you've worked with. We’re looking for someone who can bridge the gap between tech and healthcare.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Pangaea Data Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical aspects of AI, ML, and the tools mentioned in the job description. Be ready to discuss your hands-on experience with Python and frameworks like PyTorch or Scikit-learn. This will show that you can bridge the gap between engineering and product teams effectively.
✨Engage with Real-World Scenarios
Prepare to talk about how you've tackled real-world healthcare challenges in previous roles. Think of specific examples where you collaborated with cross-functional teams or engaged with customers. This will demonstrate your ability to translate complex technical concepts into practical solutions.
✨Showcase Your Leadership Skills
Be ready to discuss your experience leading technical projects or mentoring engineers. Highlight instances where you’ve communicated effectively with stakeholders and driven project success. This will illustrate your capability to take on a technical leadership role within their team.
✨Ask Insightful Questions
Prepare thoughtful questions about Pangaea’s AI platform and its future direction. Inquire about their approach to integrating with healthcare systems or how they prioritise product development. This shows your genuine interest in the company and helps you assess if it’s the right fit for you.
