AI Product Owner: Lead AI Delivery & Strategy

Pitney Bowes OY; Shelton (CT); Hybrid; USD 172.000 - 192.000; Vollzeit

Zusammenfassung

Pitney Bowes in Shelton, CT is seeking a Technical Product Owner for AI-driven products. You will own the backlog, align delivery with quarterly goals, and collaborate with engineering, architecture, security, and business partners to translate strategy into actionable epics and user stories.

The ideal candidate has 5+ years in technical product ownership, experience delivering AI/ML capabilities to production, and strong communication with technical and executive audiences.

Qualifikationen

• 5+ years in technical product ownership or similar leadership.
• Experience delivering AI/ML or LLM capabilities to production.
• Experience facilitating Scrum or Kanban with distributed teams.
• Strong written and verbal communication for technical and executive audiences.
• Ability to translate complex business needs into clear, actionable requirements.

Aufgaben

• Own and manage the backlog and delivery cadence for one or more AI product teams, ensuring priorities align with business objectives and quarterly goals.
• Define outcomes, priorities, and delivery plans with cross‑functional partners (engineering, architecture, security, business).
• Translate strategic objectives into epics, user stories, and acceptance criteria for development teams.
• Define success criteria for AI capabilities, including governance, performance, observability, and readiness.
• Prioritize work across stakeholders while balancing business value and technical constraints.
• Maintain visibility into platform capabilities, integrations, and governance requirements.

Kenntnisse

AI product ownership

Agile/Scrum

AI/ML delivery

APIs & integrations

Stakeholder communication

Tools

Amazon Bedrock

AgentCore

Azure AI Foundry

Vertex AI Agent Builder

Jobbeschreibung

Pitney Bowes in Shelton, CT is seeking a Technical Product Owner for AI-driven products. You will own the backlog, align delivery with quarterly goals, and collaborate with engineering, architecture, security, and business partners to translate strategy into actionable epics and user stories.

The ideal candidate has 5+ years in technical product ownership, experience delivering AI/ML capabilities to production, and strong communication with technical and executive audiences.