Technical Product Manager - Una

Job Title: Technical product manager Una Work Level: 2B About Unilever Join the world's most successful, purpose-led business. Work with globally loved brands that improve lives. We promote innovation to grow our business and believe in business as a force for good. Our leaders and colleagues provide mentorship and inspiration, helping you be at your best. Join us to make a real impact on the business and the world. The opportunity The Una Product Lead owns the vision, roadmap and business value of Una, Unilever's global enterprise AI assistant (c. 100,000 users), which gives employees self-service answers and actions across IT, HR, Workplace, Supplier Operations, Legal and other enabling functions. With Una now running on Microsoft Copilot Studio, the focus of the role is to grow Una into the single front door for employee support: bringing new functions, use cases and AI agents into one consistent experience, and proving the value they deliver. We are looking for a product leader who can set that direction, decide what to build next, prove the value it creates, and bring a talented team and a lot of stakeholders along on the journey. The role also leads AI innovation through the AI Speedboat, a fast-track route that turns priority ideas into usable AI solutions and, where they fit, brings them into Una. The Una Product Lead drives adoption and measurable value (self-service resolution, ticket deflection and user satisfaction), ensures the knowledge behind Una is accurate, governed and AI-ready, leads a multi-disciplinary product, development and knowledge team, and is the primary interface to senior business stakeholders and the SteerCo. Why this role is different

• Real AI at real scale. This is not a pilot or a lab. Your decisions reach around 100,000 users in more than 190 locations from day one.
• Build, not just run. Through our AI Speedboat, a fast-track team for new AI ideas, you will turn promising concepts into working products in weeks. Recent examples include a manager assessment tool connected to Workday, a conversational agent that turns rough requests into ready-to-deliver work, and a marketing knowledge assistant that coordinates several specialist agents.
• At the front of the agent era. You will help design how many AI agents sit behind one simple experience, one of the most interesting product problems in enterprise AI right now.
• Close to the source. You will work alongside Microsoft's product and engineering teams and influence how the platform evolves.
• Visible impact. You will present to senior leaders and see the effect of your work in adoption, satisfaction and time given back to employees.

What you will own Product vision and roadmap Set where Una goes next and why. Decide what gets built, in what order, and how each release creates value for employees and the business. New ideas into products Lead the AI Speedboat pipeline. Work with business teams to frame the problem, shape a minimum viable product, build the value case, and take the best ideas into production and into Una. One experience, many agents Define how new AI agents and new business areas join Una so that employees always get one clear, consistent experience, whoever answers behind the scenes. Adoption and change Make sure people actually use and love Una: launches, campaigns, user guides, a champions network and readiness for every rollout. Answer quality and knowledge Make sure Una gives accurate, trusted answers. Own the health of the knowledge it draws on and use what users ask (and what Una can't yet answer) to decide what to fix next. Value and insight Define what success looks like and measure it: usage, satisfaction, questions solved without a support ticket, and the value delivered by new AI products. Turn the data into clear stories for leadership. Releases Partner with the technical delivery lead and engineering teams on every release. You own the release plan, user acceptance and the final product call on go-live. Partners and stakeholders Be the senior voice of Una with business leaders, Microsoft and implementation partners. Keep everyone aligned on priorities, risks and decisions. Responsible AI Make sure everything we ship is secure, private, accessible and meets our responsible-AI standards. Your team Lead and grow a team of product managers, developers and knowledge and insights specialists, and build strong AI product skills across it. What success looks like in your first year

• A clear, agreed roadmap for Una that business leaders are excited to back
• More employees using Una more often, and getting their answer without needing to raise a ticket
• Higher satisfaction and answer-quality scores
• New business areas and AI agents live in Una, on time
• AI Speedboat ideas moving faster from concept to production, with measurable value
• A knowledge base that is owned, current and ready for AI

What you bring

• Around 10 years in technology, with at least 3 years owning enterprise digital or AI products
• Experience leading a conversational AI, virtual agent, chatbot or knowledge product at large scale
• A track record of taking AI ideas from concept to MVP to real adoption, backed by a clear value case
• Good working knowledge of Microsoft Copilot, Copilot Studio and Microsoft 365, and comfort with how large language models work (retrieval, prompts, answer quality, agents)
• Familiarity with IT and employee service tools such as ServiceNow
• Experience leading teams and managing vendors in a global, matrixed organisation
• The ability to turn data into a compelling story, and to influence senior leaders with it
• A degree in a relevant field, MBA preferred

Bonus points

• Hands-on delivery experience with Copilot Studio or the Microsoft Power Platform
• Experience prototyping with low-code tools
• Understanding of multi-agent patterns and emerging standards such as MCP and A2A
• Product, agile or Microsoft certifications

Who you will work with Leaders in HR, IT, Workplace, Procurement, Legal and Marketing; our ServiceNow, Workday and Microsoft 365 platform teams; AI engineering, architecture, security and privacy specialists; communications and change teams; and Microsoft and our implementation partners. Key Skills & Competencies Product strategy and road mapping - Service Orientation AI product discovery and value-case framing - Passion for Growth Agile delivery (Scrum/Kanban, Jira/Azure DevOps) - Holding People Accountable Data analysis and storytelling (Power BI/Cowork/Presentations) - Strategic Influencing Enterprise Knowledge management - Organizational Awareness Change management and adoption - Team Commitment Executive communication and influencing Leadership & Behaviours Employee should ‘meet expectations’ on the Unilever Standards of Leadership behaviour.

• Deliver what you promise
• Build relationships
• Develop yourself and others
• Work as a team
• Take responsibility
• Develop an external view
• Bring options, not issues

Our commitment to Equality, Diversity & Inclusion

• Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.