Technical Product Manager - Una

Overview

Own the vision, roadmap and business value of Una, Unilever's global enterprise AI assistant (c. 100,000 users), growing it into the single front door for employee support across IT, HR, Workplace, Supplier Operations, Legal and other enabling functions.

What you'll do

• Set the product vision and roadmap for Una, deciding what gets built, in what order, and how each release creates value for employees and the business.
• Lead the AI Speedboat pipeline: frame the problem with business teams, shape a minimum viable product, build the value case, and take the best ideas into production and into Una.
• Define how new AI agents and new business areas join Una so employees always get one clear, consistent experience.
• Drive adoption and change: launches, campaigns, user guides, a champions network and readiness for every rollout.
• Make sure Una gives accurate, trusted answers by owning the health of the knowledge it draws on and using user questions and unanswered queries to decide what to fix next.
• Define success metrics (usage, satisfaction, questions solved without a support ticket, value of new AI products) and turn the data into clear stories for leadership.
• Partner with the technical delivery lead and engineering teams on every release, owning the release plan, user acceptance and the final go-live decision.
• Be the senior voice of Una with business leaders, Microsoft and implementation partners, keeping everyone aligned on priorities, risks and decisions.
• Ensure everything shipped is secure, private, accessible and meets responsible-AI standards.
• Lead and grow a team of product managers, developers and knowledge and insights specialists, and build AI product skills across it.

What you'll need

• 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.

Nice to have

• MBA.
• 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.

Details

• Location: Uniops Bangalore Centre, India.
• Work Level: 2B.