Technical Project Manager

Key Responsibilities

• 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).
• 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.
• Work closely with engineers to understand the product development and roadmap.
• Work closely with engineers to ensure high standards of software quality, testing, documentation, and maintainability.
• Monitor performance of deployed features and drive continuous product improvement.
• 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.
• Publishations 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.

General Information

• Pangaea Data is an equal opportunity employer.
• All qualified applicants will receive consideration for employment without regard to race, colour, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.