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- Tasks: Lead the strategy and roadmap for AI-powered productivity and automation.
- Company: Join a forward-thinking tech giant focused on responsible AI solutions.
- Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Shape the future of conversational AI and make a real impact in enterprises.
- Qualifications: 7+ years in product management with experience in conversational AI and governance.
The predicted salary is between 80000 - 100000 £ per year.
We are seeking a Product Manager for Copilot Studio & AI Agents to own the strategy, roadmap, and enterprise adoption of conversational AI and agent-based experiences built on Microsoft Copilot Studio and the broader M365 ecosystem. This role focuses on AI-powered productivity, automation, and decision support, enabling business teams to design, deploy, and scale copilots and agents safely and responsibly across the organization.
Product Strategy & Vision
- Define and own the Copilot Studio and AI Agents product vision and roadmap
- Identify high-value AI use cases (e.g., knowledge assistants, workflow agents, employee support, insights copilots)
- Align AI agent strategy with enterprise priorities such as productivity, scale, and responsible AI
- Serve as the product owner for conversational AI capabilities
Platform Governance & Responsible AI
- Define governance, guardrails, and operating model for Copilot Studio and agents, including:
- Data access and grounding
- Security, privacy, and compliance controls
- Lifecycle management of agents
Demand Intake & Use Case Prioritization
- Own intake and prioritization of Copilot and agent use cases
- Assess feasibility, risk, and value of AI scenarios
- Determine delivery approach (citizen dev, fusion teams, or central build)
Adoption & Enablement
- Drive adoption of Copilot Studio through:
- Enablement programs and playbooks
- Best practices for prompt design and agent orchestration
- Community of practice for AI builders
Measurement & Value Realization
- Define success metrics for AI agents, such as:
- Productivity gains
- Task deflection and automation
- User satisfaction and adoption
Qualifications
- 7+ years in Product Management, Platform Management, or Digital Enablement
- 3+ years working with conversational AI, copilots, or intelligent automation
- Hands-on experience with Copilot Studio and the M365 ecosystem
- Strong understanding of AI risk, governance, and compliance in enterprise settings
- Excellent stakeholder management and executive communication skills
- Experience with Responsible AI frameworks
- Familiarity with Azure OpenAI concepts and enterprise AI architectures
- Experience enabling citizen developers or fusion teams
- Microsoft certifications related to Power Platform or AI (a plus)
Enterprise Product Lead Copilot Studio in Neath employer: Teva Pharmaceuticals
Contact Detail:
Teva Pharmaceuticals Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Enterprise Product Lead Copilot Studio in Neath
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to AI and product management. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your passion for AI and product management during interviews. Share your insights on the latest trends and how they relate to the role. We want to see your enthusiasm and knowledge shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Enterprise Product Lead Copilot Studio in Neath
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and conversational technologies shine through. We want to see how you connect with the mission of Copilot Studio and how you envision its impact on productivity and decision-making.
Tailor Your Experience: Make sure to highlight your relevant experience in product management and AI. We’re looking for specific examples that demonstrate your hands-on work with Copilot Studio and the M365 ecosystem. Don’t just list your roles; tell us how you’ve made a difference!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your ideas effectively. Remember, we want to understand your vision without getting lost in the details.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Teva Pharmaceuticals
✨Know Your Product Inside Out
Before the interview, dive deep into the Copilot Studio and its capabilities. Understand how it integrates with the M365 ecosystem and be ready to discuss specific use cases. This will show your passion and expertise in AI-powered productivity.
✨Align with Enterprise Priorities
Familiarise yourself with the company's goals around productivity, scale, and responsible AI. Be prepared to articulate how your vision for Copilot Studio aligns with these priorities, demonstrating that you can think strategically about product management.
✨Showcase Your Stakeholder Management Skills
Prepare examples of how you've successfully managed stakeholders in previous roles. Highlight your communication skills and how you've collaborated with cross-functional teams, especially in areas like security, legal, and compliance.
✨Define Success Metrics
Think about how you would measure the success of AI agents and copilots. Be ready to discuss specific metrics like productivity gains and user satisfaction, showing that you understand the importance of value realisation in product management.