# Technical Product Manager - Una at Unilever

Unilever is hiring a Technical Product Manager - Una. Level rates it Works on AI ●●●○; you can [apply on Unilever](https://jobsbylevel.com/go/f14fa74d-3c07-4551-bb49-54e8b98739f6?utm_medium=ai-agent).

AI Level 3, AI centrality 74 out of 100. Uniops Bangalore Centre.

## Details

- Company: [Unilever](https://jobsbylevel.com/companies/unilever)
- AI level: AI Level 3 (score 74 out of 100)
- Location: Uniops Bangalore Centre
- Posted: November 11, 2026
- Apply: https://jobsbylevel.com/go/f14fa74d-3c07-4551-bb49-54e8b98739f6?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=technical-product-manager-una-at-unilever-aa1130

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## Description

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

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