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Product Manager

Location: London, UK or San Francisco, CA
Number of Vacancies: 1

About Pangaea Data Limited

Pangaea Data is headquartered in London with offices in San Francisco and Hong Kong. Pangaea provides an AI driven software product, which has proven to find 95% more suitable patients including those who are undiagnosed and to automatically generate clinical narratives for regulatory reports thereby saving 90% in time. This is achieved through Pangaea’s novel unsupervised Natural Language Processing and first of its kind Natural Language Generation methods which respectively extract and summarize intelligence from textual and multi-modal health data at scale and in a federated privacy preserving manner. Pangaea’s product has demonstrated 85 – 90% accuracy through high impact peer reviewed publications, which is transformatively higher than generic language models like GPT-3, supervised NLP, and relational extraction approaches.

Pangaea’s product has successfully scaled in the pharmaceutical and healthcare industry and has been presented by leading clinicians and scientists at global conferences. The founders at Pangaea have secured more than £130 million in research funding through their work. All customer success stories and peer reviewed publications including comparisons to alternative approaches with evidence of efficacy through a combination of context, reinforcement learning, and ‘human experts (clinicians) in the loop’ are available freely through Pangaea’s website.

Role Description and Responsibilities

Key responsibilities

  • Lead full-cycle customer conversations from understanding, evaluating, and analysis of customer requirements through to product delivery and feedback 
  • Communicate technical features of the product to non-technical end users
  • Take ownership of the product and feature roadmap(s)
  • Liaise and collaborate with the technical team to translate customer requirements, disseminate feedback, and identify further product feature and functionality opportunities
  • Evaluate and manage multiple priorities
  • Ensure cross-team alignment regarding prioritization and timelines

Mandatory Requirements

  • University degree (bachelors, masters, and/or doctorate)
  • 3+ years of relevant product management work experience
  • Prior experience working in the life science industry
  • Strong technical understanding, preferably specifically with AI based products
  • Strong experience working in a customer facing role
  • Ability to effectively communicate complex ideas, both verbally and in writing, in English
  • Strong interpersonal skills and the ability to engage all levels of our and the end user’s organisation
  • Ability to work collaboratively in a team environment and collaborate efficiently with colleagues in different time zones

Nice to Have:

  • Experience working with cutting edge natural language processing/ machine learning/artificial intelligence research
  • Ability to quickly comprehend research publications in AI and/or life sciences
  • Basic coding skills
  • Familiarity with Hubspot CRM or other CRM products
  • Ability to communicate in multiple languages

Perks and Benefits

  • Flexible working schedule and ability to work in London & San Francisco
  • Package of attractive benefits, including stock options and discretionary bonus
  • You will join a dedicated highly renowned team offering you the opportunity to grow and develop your professional skills and profile
  • You will have the opportunity to learn about building a rapidly growing business from experienced professionals and serial entrepreneurs

Application Contact Information

This position will be highly visible to senior management within our company and at our customer organizations.

Your application should be in English and include a cover letter highlighting your experiences with Biopharmaceutical companies and Healthcare organisations along with your CV.

Please send your latest resume along with a cover letter to

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.