Technical Project Manager

Technical Project Manager

Full-Time 60000 - 80000 € / year (est.) No home office possible
Pangaea Data Limited

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 to careers@pangaeadata.ai

Technical Project Manager employer: Pangaea Data Limited

Pangaea Data is an exceptional employer located in London, offering a dynamic work environment 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 grow their careers while making a meaningful impact in the AI healthcare sector.

Pangaea Data Limited

Contact Detail:

Pangaea Data Limited Recruiting Team

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 industry, especially those who work at Pangaea or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.

Tip Number 2

Show off your skills! Prepare a portfolio or case studies showcasing your experience with AI solutions, especially in healthcare. This will help you stand out during interviews and demonstrate your technical prowess.

Tip Number 3

Practice makes perfect! Get comfortable discussing complex technical concepts in simple terms. You’ll need to explain AI capabilities to both techies and non-techies, so practice with friends or family.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at Pangaea.

We think you need these skills to ace Technical Project Manager

AI Solutions Deployment
Technical Communication
Cross-Functional Collaboration
Project Management
Technical Leadership
Python Programming
AI Frameworks (e.g. PyTorch, Transformers)

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 experience with Python, AI frameworks, and any relevant projects you've worked on. 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. We can’t wait to hear from you!

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. Brush up on your Python skills and be ready to discuss how you've deployed AI solutions in real-world scenarios.

Engage with Real-World Examples

Prepare to share specific examples from your past experiences where you’ve successfully bridged engineering and product teams. Highlight any instances where you’ve engaged with customers or stakeholders to solve complex problems.

Showcase Your Leadership Skills

Be ready to talk about your experience leading technical projects or mentoring engineers. Think of situations where you’ve translated business goals into technical deliverables and how you ensured high standards in software quality.

Communicate Clearly and Confidently

Practice explaining complex technical concepts in simple terms. You might need to communicate with both technical and non-technical audiences, so being clear and pragmatic is key. Prepare for questions that assess your ability to convey ideas effectively.