About the role

Staff Product Manager leading AI product strategy, roadmaps, and client delivery at an applied AI engineering firm. Partnering with executives and mentoring PMs across complex engagements.

Responsibilities

Define product strategy and vision for major client engagements in alignment with client goals and business outcomes
Own the product roadmap end-to-end and prioritize business value, technical constraints, and delivery timelines
Lead discovery and problem framing with senior client stakeholders
Define product success metrics, evaluate outcomes, inform priorities, and drive continuous improvement
Drive cross-functional alignment across engineering, design, delivery, and strategy
Use AI tools such as Claude for product discovery, research synthesis, and documentation
Build and maintain trusted advisor relationships with client leadership
Communicate strategy, tradeoffs, and recommendations at the executive level
Lead stakeholder working sessions, workshops, and decision-making forums
Establish product delivery standards and practices
Mentor senior and mid-level product managers
Act as a technical escalation point for complex product, scope, and prioritization challenges

7+ years of experience in product management, with a strong consultative background
Demonstrated ability to define product strategy and vision for complex digital engagements
Deep experience leading discovery, roadmapping, and delivery across multi-stakeholder environments
Strong executive communication and client advisory skills
Track record of driving cross-functional alignment and influencing without authority
Experience defining and tracking product success metrics
High accountability, ownership, and follow-through
Proficiency with product tools across discovery, roadmapping, and delivery, such as Jira, Productboard, Amplitude, and Miro
Deep applied experience with AI tools for product discovery, research synthesis, and documentation, such as Claude
Prior exposure to building or shipping AI/ML products
Consulting or professional services delivery background
Working fluency in GenAI fundamentals: LLMs, RAG, prompt and context engineering, and model limitations
Hands-on contribution to AI-powered products, including features, prompts, or evals
Comfort prototyping with Claude, Claude Code, Cursor, or GitHub Copilot
Vertical depth in one or more of Consumer Products and Retail, Education, Energy, Financial Services, Healthcare, or Manufacturing
Successful completion of a background check may be required
An offer may be conditional upon the background check