Staff, AI Product Manager

Job description:

This is not a traditional enterprise product role managing a source system's roadmap, releases, and backlog. As an AI Product Manager in Enterprise AI, you:

• Build new AI products from ambiguous, unsolved business problems.
• Work with probabilistic systems, defining evaluations, acceptable error, and human oversight.
• Help lead a bionic pod, deciding which work goes to engineers and which to AI agents and workers, and how they hand off.
• Prototype hands on and are measured on business outcomes.
• Own the Orchestration and Automation platform tower and its roadmap.
• Take consolidation decisions across the low and medium code platform estate.
• Act as the platform consultant for business teams building on the estate.
• Own the governance model that defines what a citizen developer may build unsupervised.

Responsibilities:

• Map capability against actual usage across the whole low and medium code estate, and recommend what consolidates, what stays, and what retires.
• Quantify value rigorously. Build credible business cases that survive finance and senior business unit scrutiny - cycle time saved, manual effort removed, licence cost avoided, automations running in production.
• Develop deep automation pattern recognition so you can spot the workflows worth automating and the ones that should be fixed at source instead.
• Shape the platform roadmap. Maintain a living view of in-flight, queued, and de-prioritized platform work, with the rationale for each decision, and feed it into the broader AI Platforms & Tools portfolio.
• Make trade-off recommendations. When two business sponsors both want platform investment, define the success metrics, run the analysis, and recommend where effort goes.
• Protect engineering focus. Push back - with evidence - on opportunities that won't move scalable outcomes.

Required Skills:

• 16+ years of progressive experience in enterprise platform leadership, with a meaningful part of it spent owning a platform or platform estate end to end: roadmap, architecture direction, operations, and lifecycle.
• Demonstrated track record of taking a platform from fragmented or underused to well run: consolidation calls made, adoption grown, and the operating model that sustained it.
• Experience running a platform in a regulated enterprise, with working knowledge of at least one part of the pharma value chain and the data, decisions, and constraints inside it.
• Solid technical fluency in modern AI/ML, covering LLMs, agentic systems, AI agents and workers, data and evaluation patterns, sufficient to set architecture direction, challenge engineers, scope realistically, and avoid hype-driven choices.
• Experience leading engineers directly while also leading a far larger citizen developer community through influence, frameworks, and quality of thinking.
• A platform product heritage: roadmap shaping, lifecycle and version management, vendor and licensing ownership, service levels, and stakeholder alignment across a large and varied user base.

Preferred skills:

• Deep, hands-on Microsoft Power Platform experience is mandatory: Power Apps, Power Automate and Dataverse at enterprise scale, including environment strategy, ALM, licensing, and the governance model around them.
• Has owned a low or medium code automation platform at enterprise scale and run a citizen developer or self-service programme covering thousands of users, with guardrails that held under pressure.
• Fluent with the wider low and medium code agent and workflow stacks that sit alongside Power Platform, such as Copilot Studio, n8n, and the equivalents from the major cloud vendors.