Product Manager Jobs

About The Position

Requirements

• Bachelor’s degree; equivalent relevant experience will also be considered.
• At least 5 years of experience across product management, product operations, product enablement, or transformation, with strong end-to-end Product expertise spanning discovery, prioritization, requirements, delivery, launch, and outcome measurement.
• At least 2 years of experience applying AI-enabled or AI-driven approaches to product development, including identifying high-value use cases, evaluating emerging capabilities, and translating them into practical Product workflows.
• Working knowledge of context engineering and AI-ready product documentation, including approaches for research and information synthesis, enterprise knowledge retrieval, memory systems, context libraries, and business capability maps.
• Experience evolving traditional user stories into structured, reusable specifications, such as context packs or specification kits, that provide AI tools and agents with goals, business rules, source knowledge, constraints, evaluation criteria, and acceptance criteria.
• Experience using pilots, practitioner feedback, product and operational data, and measurable outcomes to prioritize opportunities, test assumptions, evaluate adoption and business impact, and continuously improve solutions.
• Applicants must be currently authorized to work in the United States on a full-time basis without employer sponsorship.

Nice To Haves

• Advanced degree in engineering, technology, business, or a related field.
• High emotional intelligence and strong facilitation, communication, and influence skills, including the ability to listen actively, build trust, navigate conflict constructively, adapt to diverse perspectives, and align stakeholders in a complex matrixed environment.

Responsibilities

• Own and lead a defined AIDLC workstream, identifying high-value opportunities and establishing Product responsibilities, decision rights, quality expectations, and cross-functional collaboration points across the end-to-end lifecycle.
• Build, test, and scale Product standards, playbooks, templates, maturity guidance, and reusable assets for problem framing, requirements, prioritization, trade-off decisions, risk management, and outcome measurement.
• Partner with Product, Technology, UX, Data, Architecture, Risk, Business, and talent leaders to integrate AIDLC standards into operating models, governance, planning, delivery practices, tooling, performance measures, role expectations, and learning programs.
• Own a defined component of the roadmap for AI-driven tools, platforms, agents, and skills that support Product workflows; translate practitioner needs into requirements and prioritize capabilities based on user value, strategic alignment, feasibility, risk, and expected business impact.
• Clarify how AI tools and agents reshape Product workflows, including where automation can accelerate work, where human judgment and accountability remain essential, and what responsible-use controls, validation, skills, and adoption support are required.
• Lead pilots, prototypes, and continuous learning cycles to test assumptions, evaluate adoption, and measure improvements in quality, speed, capacity, client experience, and business outcomes; use evidence and practitioner feedback to inform roadmap decisions and scalable improvements.