We’re hiring at Pitney Bowes, where top talent builds meaningful careers and lasting impact. We Move fast, Deliver excellence, and Win together…that’s The Pitney Bowes way. Here, how we work matters just as much as what we achieve.
We’re looking for people who:
Act with urgency, accountability, and purpose
Deliver high quality work with consistency and pride
Collaborate effectively and elevate those around them
Focus on outcomes that drive impact and growth
Job Description:
A technical product and delivery leader who thrives at the intersection of AI, engineering, and business outcomes. You enjoy bringing structure to ambiguity, translating strategy into execution, and helping teams deliver impactful solutions. You are comfortable working with engineers, architects, product leaders, and security teams to ensure AI capabilities are delivered responsibly, efficiently, and at scale.
You Will- Own and manage the backlog and delivery cadence for one or more AI product teams, ensuring priorities align 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 work for development teams.
- Define success criteria for AI-powered capabilities, including evaluation methods, governance requirements, performance expectations, observability, and operational readiness.
- Prioritize work across multiple 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, ensuring they remain effective and focused.
- Monitor delivery health through key metrics such as velocity, cycle time, backlog readiness, and dependency management.
- Proactively identify and remove obstacles that impact delivery, coordinating across teams to keep work progressing smoothly.
- Support estimation, roadmap planning, and scope discussions in an environment that balances innovation with execution.
- Coordinate cross-functional initiatives to ensure integrations, dependencies, and shared deliverables are planned and managed effectively.
- 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 considerations, human-in-the-loop workflows, audit readiness, and change management.
- Monitor platform performance, model utilization, and cost considerations to support informed decision-making.
- Lead proof-of-concept efforts as structured experiments with clear objectives, measurable outcomes, and documented recommendations.
- Serve as a trusted source of delivery status, priorities, and progress across product, engineering, and security stakeholders.
- 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, with the ability to engage both technical and executive audiences.
- The ability to balance competing priorities and translate complex business needs into clear, actionable requirements.
- Comfort operating in fast-paced environments where experimentation, learning, and adaptation are part of the process.
Preferred Qualifications
- 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.
Compensation: The wage range for this position is $172,000-$192,000 per year. Actual compensation will be based on skills and experience as they relate to the job requirements and the location where you will be performing the job.
Location: This is a hybrid role, with 4 days in the Shelton, CT office required. This hybrid status may change based on business need.
Sponsorship:
Must be legally authorized to work in the US. Employer will not sponsor position for employment visa status now or in the future (ex. H-1B).
We will:
• Provide the opportunity to grow and develop your career
• Offer an inclusive environment that encourages diverse perspectives and ideas
• Deliver challenging and unique opportunities to contribute to the success of a transforming organization
• Offer 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.
Skills Required
- 5+ years in technical product ownership, technical program management, or engineering delivery leadership on software platforms, including at least 2 years directly accountable for a backlog
- Experience delivering AI/ML or LLM-based features to production
- Working fluency with prompting, RAG, tool or function calling, agent orchestration, evaluation, and guardrails
- Strong API literacy, including reading OpenAPI specifications, understanding authentication models, and reasoning about latency, idempotency, and error handling
- Proven Scrum or Kanban facilitation experience with distributed, offshore, or multi-time-zone teams
- Excellent written communication skills
- Comfort working with ambiguity and prioritizing against senior stakeholder requests
- Exposure to a managed agent platform such as Amazon Bedrock AgentCore, Azure AI Foundry, or Vertex AI Agent Builder, and MCP or a comparable tool-integration protocol
- Experience defining LLM evaluation frameworks, including golden sets, LLM-as-judge, human review loops, and regression gating
- Familiarity with enterprise data platforms such as Snowflake and AI data governance constraints
- Experience with AI governance or model risk processes in a regulated or enterprise environment
- Background in logistics, shipping, supply chain, or B2B SaaS
- CSPO, PSPO, CSM, PSM, or SAFe certification
Pitney Bowes Inc. Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Pitney Bowes Inc. and has not been reviewed or approved by Pitney Bowes Inc..
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Healthcare Strength — Health coverage includes medical, dental, and vision options plus mental health support, FSAs/HSAs, an Employee Assistance Program, and wellness offerings. Feedback suggests these features are a notable bright spot within total rewards.
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Retirement Support — Retirement offerings include a 401(k) with company match and a pension plan, alongside financial protections and an Employee Stock Purchase Plan. These elements pair with solid insurance to strengthen overall financial security.
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Parental & Family Support — Family supports include paid parental leave and adoption assistance, complemented by family medical leave. These programs align with broader leave options to support caregiving needs.
Pitney Bowes Inc. Insights
What We Do
Pitney Bowes (NYSE:PBI) is a global shipping and mailing company that provides technology, logistics, and financial services to more than 90 percent of the Fortune 500. Small business, retail, enterprise, and government clients around the world rely on Pitney Bowes to remove the complexity of sending mail and parcels. For additional information visit Pitney Bowes at www.pitneybowes.com.
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