Senior AI Product Manager

Description

• Operate the AI Product Management Office: Define and enforce standards, playbooks, evaluation/approval processes, and best practices for AI product management across IT.
• Drive Enterprise-wide AI Initiatives: Partner with Central AI engineers, platform teams, and governance to deliver scalable, reusable, and safe AI solutions.
• Champion Adoption & Change: Lead change management, communications, and training to ensure value realization across IT and AI organizations.
• Lead the AI Product Manager Community: Build and facilitate a community of practice across federated AI PMs, driving alignment, peer reviews, mentorship, and shared learning.
• Deliver Strategic AI Products: Own the roadmap and execution for AI solutions that transform business, IT and AI operations, such as:
• Act as Product Leader: Own backlog, roadmaps, and vendor delivery; manage risks, dependencies, and cross-functional alignment.

Requirements

• Product Management Leadership: Strong experience in backlog/roadmap ownership, agile delivery/MVP scoping vendor management, and cross-functional collaboration.
• 8–12 years overall in product management, consulting, or digital/AI solutions.
• additional AI solutions that enhance IT delivery and AI function performance
• Strategic Thinking: Experience balancing innovation with compliance, risk, and enterprise standards.
• Change Management: Ability to drive adoption, training, and measurable rollout across diverse stakeholder groups.
• Familiarity with vector DBs/embeddings, OCR/parsing, orchestration frameworks, and evaluation tooling.
• Expert BPMN/process modeling and process redesign; strong workshop facilitation.
• Experience coordinating on/offshore vendor delivery.
• Proven experience leading enterprise-scale AI or automation solutions.
• 3–5 years designing and leading AI or automation products, with evidence of shaping standards or operating models.
• AI Fluency: Deep understanding of agentic automation, retrieval/grounding (RAG), evaluation, safety guardrails, and prompt/pattern design, tool/function calling, vector DB fundamentals, HITL design, and agent patterns.
• Exposure to orchestration frameworks (e.g., MCP‑style toolservers), evaluation harnesses/metrics, and cost/performance optimization.
• Influence Without Authority: Proven ability to lead standards, communities, and practices across dotted-line or federated organizations and product management offices

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance