Pitney Bowes Inc.
AI Technical Product Owner
US CT Shelton · Senior
No sponsorship$172k-$192kDetected 8 days ago
AzureMachine LearningLLMsRAGAI OrchestrationA/B TestingProduct ManagementAgileRoadmappingSupply ChainLogisticsCustomer SuccessCadenceLeadershipCommunication
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odds of building a lasting career here
61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Translate strategic objectives and evolving business needs into epics, user stories, acceptance criteria, and actionable work for development teams.
- Prioritize work across multiple stakeholders while balancing business value, technical considerations, and delivery commitments.
- Facilitate Agile ceremonies including sprint planning, standups, reviews, and retrospectives, ensuring they remain effective and focused.
Responsibilities
- Deliver high quality work with consistency and pride
- Collaborate effectively and elevate those around them
- Focus on outcomes that drive impact and growth
- 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.
- Support estimation, roadmap planning, and scope discussions in an environment that balances innovation with execution.
- Partner with architects and engineering leaders to translate technical decisions into deliverable outcomes.
- Support AI governance activities, including model reviews, data handling considerations, human-in-the-loop workflows, audit readiness, and change management.
- Maintain traceability between business requirements, technical implementation, and delivered AI functionality.
- Monitor platform performance, model utilization, and cost considerations to support informed decision-making.
Requirements
- 5+ years of experience in technical product ownership, technical program management, engineering delivery, or a similar software leadership role.
- 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.
Nice to have
- 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.
Benefits
- Offer comprehensive benefits globally (PB Benefits and Wellbeing Programs)
Visa & Work Authorization
- Must be legally authorized to work in the US.
- Employer will not sponsor position for employment visa status now or in the future (ex.
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This listing is sourced directly from Pitney Bowes Inc.'s careers page and normalized into a canonical job model.