AI Technical Product Owner

Pitney Bowes • Shelton, CT

1d • $172,000 - $192,000 • Hybrid

About The Position

Pitney Bowes is hiring a technical product and delivery leader to work at the intersection of AI, engineering, and business outcomes. The role brings structure to ambiguity, translates strategy into execution, and helps teams deliver responsible, efficient, and scalable AI capabilities in partnership with engineering, architecture, product, security, and business stakeholders.

The position owns and manages backlogs and delivery cadence for one or more AI product teams, turns strategic objectives into actionable development work, and defines success criteria for AI capabilities. It supports Agile delivery, roadmap and scope planning, cross-functional coordination, delivery tracking, AI governance, platform performance monitoring, and proof-of-concept experiments. The role serves as a trusted source of delivery status, priorities, and progress for product, engineering, and security stakeholders.

This is a hybrid position requiring four days in the Shelton, Connecticut office. Hybrid status may change based on business need. Applicants must be legally authorized to work in the United States; the employer will not sponsor employment visas now or in the future.

Requirements

• At least 5 years of experience in technical product ownership, technical program management, engineering delivery, or a similar software leadership role.
• Experience owning and prioritizing a product backlog in an Agile environment.
• Experience delivering AI/ML- or LLM-powered capabilities into production environments.
• Strong understanding of modern AI application patterns, including prompting, RAG, tool/function calling, agent orchestration, evaluation frameworks, and guardrails.
• Technical fluency with APIs, integrations, authentication models, and software architecture concepts.
• Experience facilitating Scrum or Kanban practices across distributed teams.
• Strong written and verbal communication skills, including the ability to engage technical and executive audiences.
• Ability to balance competing priorities and translate complex business needs into clear, actionable requirements.
• Comfort working in fast-paced environments where experimentation, learning, and adaptation are part of the process.
• Must be legally authorized to work in the United States; employment visa sponsorship is not available.

Nice To Haves

• Experience with Amazon Bedrock/AgentCore, Azure AI Foundry, Vertex AI Agent Builder, or similar AI platforms.
• Experience designing evaluation frameworks for LLM-based systems.
• Familiarity with enterprise data platforms, data governance, and AI governance practices.
• Experience working in regulated or enterprise-scale environments.
• Background in logistics, shipping, supply chain, or B2B SaaS.
• Agile certifications such as CSPO, PSPO, CSM, PSM, or SAFe.

Responsibilities

• Own and manage the backlog and delivery cadence for one or more AI product teams, aligning priorities with business objectives and quarterly goals.
• Partner with engineering, product, architecture, security, and business stakeholders to define outcomes, priorities, and delivery plans.
• Translate strategic objectives and evolving business needs into epics, user stories, acceptance criteria, and actionable development work.
• Define success criteria for AI-powered capabilities, including evaluation methods, governance requirements, performance expectations, observability, and operational readiness.
• Prioritize work across stakeholders while balancing business value, technical considerations, and delivery commitments.
• Maintain visibility into platform capabilities, integrations, tools, and governance requirements.
• Facilitate Agile ceremonies, including sprint planning, standups, reviews, and retrospectives.
• Monitor delivery health using metrics such as velocity, cycle time, backlog readiness, and dependency management.
• Identify and remove obstacles to delivery, coordinating across teams to keep work progressing.
• Support estimation, roadmap planning, and scope discussions while balancing innovation with execution.
• Coordinate cross-functional initiatives and manage integrations, dependencies, and shared deliverables.
• Partner with architects and engineering leaders to translate technical decisions into deliverable outcomes.
• Maintain traceability between business requirements, technical implementation, and delivered AI functionality.
• Support AI governance activities, including model reviews, data handling, human-in-the-loop workflows, audit readiness, and change management.
• Monitor platform performance, model utilization, and cost considerations.
• Lead proof-of-concept efforts as structured experiments with clear objectives, measurable outcomes, and documented recommendations.
• Communicate delivery status, priorities, and progress across product, engineering, and security stakeholders.

Benefits

• Opportunity to grow and develop your career.
• Inclusive environment that encourages diverse perspectives and ideas.
• Challenging and unique opportunities to contribute to a transforming organization.
• Comprehensive benefits globally through PB Benefits and Wellbeing Programs.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed