Technical Product Manager - Una
Unilever is hiring a Technical Product Manager - Una. Level rates it ; you can apply on Unilever.
Level's read on this job
- Works on AI ●●●○ is how Level rates this AI product manager role: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Copilot, AI agents and AI safety.
- Level classifies it as a mid-level role.
- Level lists 258 other open roles at Unilever.
- The role was posted in the last few days.
AI in this role
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.
How we rate this
Technical Product Manager - Una at Unilever rates 74 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI product manager jobs at this level
Pay
- Typical AI product manager job
- $178k
This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you think about the risk of an AI system in this kind of role failing silently?
- What are the limits of Copilot that you've run into, and how did you work around them?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: AI agents, AI Safety, and Copilot. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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