AI Technical Product Owner

AI Center Of ExcellenceWe're hiring at Pitney Bowes, where top talent builds meaningful careers and lasting impact. Here, how we work matters just as much as what we achieve.We're looking for people who:Act with urgency, accountability, and purposeDeliver high quality work with consistency and prideCollaborate effectively and elevate those around themFocus on outcomes that drive impact and growthAbout the roleThe AI CoE builds and ships agentic AI systems that sit on top of our core product APIs - a Copilot platform on Amazon Bedrock AgentCore, MCP-based tool servers, and AI advisors embedded in our shipping products. We are past the demo stage and into the part that is genuinely hard: making non-deterministic systems reliable, governed, measurable, and safe enough to put in front of customers and internal users.This role owns the backlog and the delivery cadence for that work. You are the single throat to choke for what the team builds next and the reason the team can build it without friction. You will spend your day equally between defining outcomes with engineering, product, and security stakeholders - and clearing the path so the pod can actually deliver them.This is a hands-on-the-details role, not a ceremony-running role. You will be expected to read an architecture diagram, argue about where the human-in-the-loop gate belongs, and write acceptance criteria for a system whose output is different every time you run it.What you will ownProduct ownershipScrum mastery and deliveryTechnical stewardshipWhat success looks likeFirst 90 daysBy six monthsRequired qualifications5+ years in technical product ownership, technical program management, or engineering delivery leadership on software platforms - with at least 2 years directly accountable for a backlog.Demonstrated experience delivering AI/ML or LLM-based features to production. Prototypes and pilots count only if you can describe what broke when real users arrived.Working fluency with modern AI application patterns: prompting, RAG, tool/function calling, agent orchestration, evaluation, and guardrails. You do not need to write the code; you need to reason about the design.Strong API literacy - you can read an OpenAPI spec, understand auth models, and reason about latency, idempotency, and error handling.Proven Scrum or Kanban facilitation with distributed teams, including offshore or multi-timezone pods.Excellent written communication. This role produces a lot of writing that executives read.Comfort with ambiguity and with saying "not this sprint" to senior stakeholders.Preferred qualificationsHands-on exposure to a managed agent platform (Amazon Bedrock / AgentCore, Azure AI Foundry, Vertex AI Agent Builder) and to MCP or a comparable tool-integration protocol.Experience defining evaluation frameworks for LLM systems - golden sets, LLM-as-judge, human review loops, regression gating.Familiarity with enterprise data platforms (Snowflake or equivalent) and with data governance constraints on AI systems.Experience operating inside an AI governance or model risk process in a regulated or enterprise environment.Background in logistics, shipping, supply chain, or B2B SaaS.CSPO, PSPO, CSM, PSM, or SAFe certification - useful, not a substitute for judgment.Compensation: $192k Base w/Bonus and includes a full benefits package.We will:Provide the opportunity to grow and develop your careerOffer an inclusive environment that encourages diverse perspectives and ideasDeliver challenging and unique opportunities to contribute to the success of a transforming organizationOffer comprehensive benefits globally (PB Benefits and Wellbeing Programs)Pitney Bowes is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard for race, color, sex, religion, national origin, age, disability (mental or physical), veteran status, sexual orientation, gender identity, or any other consideration made unlawful by applicable federal, state, or local laws.All qualified applicants, including Veterans and Individuals with Disabilities, are encouraged to apply.All interested individuals must apply online. Individuals with disabilities who cannot apply via our online application should refer to the alternate application options via our Individuals with Disabilities link.