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AI Technical Product Manager
<p><span><strong>AI Technical Product Manager</strong></span></p><p><span><strong>Permanent</strong></span></p><p><span><strong>UK</strong></span></p><p><br><span><strong>LIFE AS A SATALIAN</strong></span></p><p>As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in the industry. Satalia, a WPP company is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your technical skills whilst working with a tight-knit team of high performing colleagues.</p><p class="MsoNormal">Led by our founder and WPP Chief AI Officer Daniel Hulme, Satalia’s ambition is to become a decentralised organisation of the future. Today, this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting environment. We offer truly flexible working and allow our employees to find the working practice that makes them most productive. At Satalia, your opinion matters and your achievements are celebrated.<span><br><br><strong>About the Role</strong></span></p><p><span>As a <strong>AI Technical Product Manager </strong>you will own the roadmap for a core platform that powers a suite of AI driven, API first services. These services provide tools to improve ad performance, based on an understanding of the ad creative asset. You may have a strong technical background and be looking to move into product management.</span></p><p><span><strong>Key Responsibilities</strong></span></p><ul><li><p><span>API user understanding: Build a deep understanding of API users and consumers, defining key user journeys and integration patterns.</span></p></li><li><p><span>Enable AI capabilities: Work with data scientists to deliver services that support delivery of AI models and features.</span></p></li><li><p><span>Product roadmap: Work with the product manager to define a roadmap aligned with business goals, making trade offs across new features, performance, scalability, reliability and speed of delivery.</span></p></li><li><p><span>Delivery leadership: Work with the engineering team to ensure a common understanding of user needs and goals, removing blockers and enabling delivery of valuable increments. Facilitate Agile ceremonies such as refinement, grooming and sprint planning.</span></p></li><li><p><span>Requirements engineering: Translate needs into clear, testable requirements. Write strong epics, user stories and acceptance criteria.</span></p></li><li><p><span>Quality, reliability and operational excellence. Define and monitor product metrics, ensure non-functional requirements are explicit and delivered.</span></p></li><li><p><span>Documentation & knowledge sharing: Maintain clear structured product documentation for internal and external users and stakeholders.</span></p></li></ul><p><span><strong>Minimum Qualifications & Skills</strong></span></p><ul><li><p><span>Experience: Proven experience as a Product Manager or Technical Lead on API based or developer-facing products.</span></p></li><li><p><span>Agile Expertise: Hands-on experience in Agile delivery, including story mapping and backlog refinement.</span></p></li><li><p><span>Technical Fluency: An understanding of software architectures and technical concepts. Comfortable defining non-functional requirements around performance, security and scalability.</span></p></li><li><p><span>Communication: Exceptional skills in facilitating effective communication, including writing product documentation for end users.</span></p></li><li><p><span>Proactivity: The maturity to take initiative, solve problems, and keep projects moving in a complex environment.</span></p></li></ul><p><span><strong>Nice to Have</strong></span></p><ul><li><p><span>Domain Knowledge: Experience in the marketing or advertising sector.</span></p></li><li><p><span>Educational Background: Computer Science or a related technical degree.</span></p></li><li><p><span>Experience with ML Ops, data platforms or AI-enabled products.</span></p></li></ul><p><span><strong>What we Offer:</strong></span></p><ul><li><p><span>Benefits - enhanced pension, life assurance, income protection, private healthcare;</span></p></li><li><p><span>Remote working - café, bedroom, beach - wherever works;</span></p></li><li><p><span>Truly flexible working hours - school pick up, volunteering, gym;</span></p></li><li><p><span>Generous Leave - 27 days holiday plus bank holidays and enhanced family leave;</span></p></li><li><p><span>Annual bonus - when Satalia does well, we all do well;</span></p></li><li><p><span>Impactful projects - focus on bringing meaningful social and environmental change;</span></p></li><li><p><span>People oriented culture - wellbeing is a priority, as is being a nice person;</span></p></li><li><p><span>Transparent and open culture - you will be heard;</span></p></li><li><p><span>Development - focus on bringing the best out of each other;</span></p></li></ul><p><strong>About us:</strong></p><p><span>Satalia is home to some of the brightest minds in AI and if you’re looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we’d love to hear from you.</span></p><p><span>We aim to respond to all applications within 2 weeks. If you have not heard from us within 2 weeks this means your application has been unsuccessful. By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within our Satalia Recruitment Privacy Policy. Good luck!</span></p><p><br></p>