Senior AI Product Manager, Applied AI

Overview

As part of the Practice Solutions team, you will own the Atlas Platform and Atlas Chatbot, driving product strategy and roadmap in a fast-moving AI-enabled environment. You’ll build a scalable foundation for the Firm’s AI products and ensure governance, security and cross-team collaboration. You’ll create rapid prototypes to test ideas and guide engineering decisions, balancing flexibility with firm controls. This role blends strategic thinking with hands-on delivery in a global law firm setting.

Responsibilities

• Own and coordinate roadmaps for Atlas Platform and Atlas Chatbot, balancing user needs, shared capabilities, reliability and cost
• Translate user and operational needs into testable hypotheses, prototypes, evaluation plans and product requirements
• Take ownership of selected applications from validation to roadmap, launch and ongoing direction
• Build rapid, functional PoCs using AI-assisted development tools to validate workflows
• Leverage AI-native workflows to speed up discovery, prototyping, implementation, review, testing and documentation
• Coordinate with security, risk and technology to translate permissions, ethical screens and auditability into platform priorities
• Prioritize platform integrations via MCP gateway, enabling reusable connections for multiple AI apps
• Turn user and team feedback into testable hypotheses and production-ready solutions
• Measure reliability, lead times, reuse, chatbot adoption and operating costs
• Share prototypes and evaluation evidence with engineering, security and risk to inform productionisation and scaling
• Coordinate release readiness and cross-team dependencies across delivery partners and the wider business

Key requirements

• Substantial hands-on software product management experience in a startup, scale-up or autonomous team
• Track record of shipping products and improving adoption and value after launch
• Strong product judgement, user research and analytical skills
• Ability to translate experimental results into clear product decisions (iterate, stop, productionise or scale)
• Experience working with engineers as a technical peer; ability to discuss APIs, integrations and delivery trade-offs
• Practical experience using AI-assisted development tools for learning, prototyping and documentation
• Active interest in applied AI with quick learning ability and sound judgment around sensitive data
• Clear communication and ability to set priorities with senior stakeholders while keeping delivery moving

• Strong communication
• Stakeholder management
• Critical thinking and willingness to challenge assumptions
• Product management in a software/AI context
• AI-assisted development tools for prototyping and evaluation
• APIs, integrations and discussions of delivery trade-offs

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