We're looking to add a Senior Product Manager to our team. Take full ownership of the Enterprise AI portfolio and play a hands-on role in building what's within it: offer leadership a transparent, dependable picture of deliverables, timing, and outcomes, while diving deep into the underlying technology — grasping what each request demands, shaping the right approach, and constructing AI solutions yourself. You'll coordinate with developers, business stakeholders, leadership, Enterprise Architecture, Security, and Data teams spread across global locations Responsibilities Take complete ownership of the Enterprise AI portfolio, acting as the definitive source for scope, priority, status, timelines, dependencies, risks, and ownership assignments Hands-on design and construction of AI agents, assistants, and automated workflows using platforms like Anthropic Claude, OpenAI, Google Gemini, Glean, and AWS Bedrock, driving them from early prototype to live production Apply AI-powered coding tools such as Claude Code, OpenAI Codex, Cursor, and GitHub Copilot to support direct development work Evaluate the technical strategy behind each incoming request, covering model choice, platform selection, and agent design, while weighing feasibility, cost, effort, and associated risk Investigate emerging models, agent frameworks, and AI tooling, putting forward recommendations on what should be adopted Facilitate portfolio planning and prioritization discussions with leadership, while mapping out capacity across both internal development staff and contractor resources Construct and sustain the Enterprise AI roadmap, overseeing dependencies and risks that span multiple teams Establish and report portfolio-level metrics, such as throughput, cycle time, on-time delivery, and capacity utilization, while assessing business value once solutions go live Organize and run QBRs, present executive-level summaries to IT and company leadership, and keep executive sponsors informed through regular status updates Create reusable frameworks, standards, and best practices covering how AI work gets planned, built, and delivered Requirements A Bachelor's or Master's degree in Computer Science, Engineering, IT, or a related discipline At least 5 years of applicable experience in technology delivery, encompassing both hands-on development and leadership of portfolio or program management spanning multiple teams A minimum of 2 years spent in Senior, Lead, Manager, or Owner-level positions Demonstrated history managing engagements for teams of 5 or more full-time staff Direct, hands-on background building generative and agentic AI solutions using frontier models such as Claude, GPT, Glean, and Gemini Working experience with AI cloud platforms, including AWS Bedrock, Azure AI Foundry, and Google Vertex AI Exposure to agent frameworks and protocols such as Claude Agent SDK, OpenAI Agents SDK, LangGraph, MCP, and A2A Solid understanding of prompt and context engineering, RAG, vector databases, tool use, and orchestration across multiple agents Background in AI evaluation, observability, and guardrail implementation, including monitoring model quality, cost, and token consumption Regular, day-to-day application of AI coding tools including Claude Code, Cursor, Codex, and Copilot Experience handling capacity planning and balancing demand against capacity across internal teams and contractors Strong command of portfolio tracking and reporting tools, particularly Jira, including creating dashboards leadership genuinely relies on, plus metrics tied to delivery and business value Demonstrated capacity to sway senior leadership, having run QBRs and executive readouts with compelling storytelling suited for C-level audiences Fluent English communication skills at a C1 level or higher Nice to have Working knowledge of AI governance frameworks to support compliant, responsible AI practices Background applying AWS Bedrock to construct and scale generative AI solutions Experience with agentic SDKs that support agent development and coordination Direct experience working with Anthropic Claude for AI solution development Background using Atlassian Jira for managing and tracking portfolio-level work Familiarity with Azure AI Foundry tools for constructing and deploying AI capabilities Knowledge of context engineering approaches that strengthen AI model relevance and output Experience applying Cursor as part of an AI-supported coding workflow Background in evaluating and testing GenAI agents to confirm quality and dependability Experience leveraging GitHub Copilot to support AI-enhanced software development Knowledge of Glean for supporting enterprise search and knowledge discovery Background using Google Vertex AI for developing and deploying ML and AI solutions Familiarity with LangGraph for coordinating workflows across multiple AI agents Experience with the OpenAI Agents SDK in Python for constructing agent-based solutions Knowledge of OpenAI Codex to support AI-driven code generation Strong foundation in prompt engineering for crafting and refining effective AI interactions Solid capability in stakeholder management across both technical and business groups Background working with vector databases to enable retrieval-based AI functionality
