Director of Product Management

2 days ago

Slough Berkshire, United Kingdom Vertex Search Full time

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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