Product Owner managing product backlog and agile execution for Capgemini's digital transformation projects. Leading collaboration across teams and mentoring junior Product Owners to ensure alignment with business goals.
About the role
- AI Product Lead developing Bright’s Applied AI Platform for AI capabilities and product lifecycle management. Collaborating deeply with engineers and leading AI governance and vendor evaluation.
Responsibilities
- Build and Deliver Bright’s Applied AI Platform
- Drive adoption of AI capabilities by identifying friction points and delivering solutions that reduce time-to-production from weeks to days.
- Lead the full product lifecycle: discovery, prototyping, experimentation, launch, and continuous improvement.
- Work hands-on with Bright’s AI technology stack (Claude, Prototype, Devin, Google AI, Langflow, N8N, Replit and others).
- Build technical roadmaps informed by prototypes, evaluations, data insights, and developer feedback.
- Define success metrics and create dashboards that track model performance, reliability and business impact.
- Develop pragmatic governance frameworks that support rapid experimentation with clear guardrails.
- Partner with security and engineering to establish model monitoring, privacy protections, and access controls.
- Create cost-optimisation strategies backed by data, scaling AI usage while ensuring efficient spend.
- Evaluate and select AI vendors, tools, and frameworks through hands-on testing and ROI analysis.
- Support engineering in defining architectures for production AI systems — including orchestration, agent frameworks, vector/prompt pipelines, and self-service developer tools.
- Enable more teams to adopt AI by providing reusable components, documentation, templates, agent flows, and reference implementations.
- Prototype emerging AI workflows (agents, copilots, automation pipelines) to validate feasibility before engineering commits.
Requirements
- 5+ years in Product Management, with a strong focus in AI or ML products.
- Proven, end-to-end experience launching production AI systems, not just proofs of concept.
- Strong technical capability, able to work closely with developers, understand architectural discussions, and explore model behaviour.
- Hands-on experience with modern AI platforms and tools:** Claude, Replit, Loveable, Devin, Google AI Studio, Langflow, N8N or equivalents.
- Ability to transform ambiguous AI opportunities into clear product proposals, experiments, and deliverables.
- Experience contributing to AI governance, model evaluation, and ML operational workflows.
- A problem-solving mindset with a track record of delivering high-quality outcomes at pace.
- Genuine curiosity for AI, you actively use AI tools in your daily workflow.
Benefits
- Performance bonus
- 25 days annual leave
- Company pension of up to 5% company contribution
- Health insurance
- Life insurance
- Hybrid Woking opportunities
- Educational Assistance
- Family Supportive
- Free Parking
- Free onsite food
- Company Events
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
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