Director of Product Management

3 days ago

London Area, United Kingdom Vertex Search Full time £80,000 - £140,000 per year

Vertex Search is proud to be working in exclusive partnership with one of the most impressive and impactful research labs of the last decade. With a world-class team of researchers and engineers, they are building tech-for-good products designed to fundamentally reshape how we approach science and technology and tackling some of the world's hardest problems in medicine, humanity, and sustainability.

As they enter a critical stage of growth, they are seeking a Director of Product Management (Applied Machine Learning) to play a pivotal role in defining and driving their AI strategy. This person will lead the development of AI-powered products across global programmes, operating at the intersection of cutting-edge research and real-world impact.

As Director of Product Management, you will:

  • Be motivated to build impactful AI products that accelerate scientific and technological progress.
  • Thrive in fast-paced environments where the mission comes first.
  • Lead and inspire diverse, interdisciplinary teams - aligning scientists, engineers, and stakeholders around a shared product vision.

Key Responsibilities

Leadership

  • Define the applied AI strategy, aligned with programme missions, organisational priorities, and long-term company goals.
  • Work closely with senior leadership to identify and capitalise on high-value AI/ML opportunities.
  • Translate complex scientific and business problems into tangible, high-impact AI solutions.

Product Execution

  • Lead cross-functional product teams (data science, engineering, software, and science) to build AI products from the ground up.
  • Act as the bridge between technical and non-technical stakeholders, ensuring clear roadmaps and products that solve real-world problems.

Essential Skills

  • Proven track record of leading AI-driven products and delivering high-impact outcomes.
  • Experience in sectors such as health tech, energy, materials science, agritech, or related fields.
  • Strong background in leading cross-functional teams and collaborating effectively across disciplines.
  • Deep understanding of AI/ML concepts and modern software development processes.
  • Ability to translate high-level goals into successful products — managing complex end-to-end lifecycles, setting OKRs, and ensuring programme success.

Preferred Qualifications

  • Advanced degree (MS or PhD) in a technical or scientific discipline.
  • Previous startup experience, ideally within a high-growth, mission-driven environment.
  • Familiarity with global technology and policy landscapes relating to AI, data science, and scientific translation.

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