Applied AI Product Manager

About the role

An Applied AI Product Manager is a senior individual contributor responsible for ensuring a product's value and viability within a product line. This role involves leading empowered, cross-functional product teams to solve moderate complexity customer problems that align with high value business needs. The Applied AI Product Manager is accountable for the product's success, from vision to execution, and collaborates closely with various functions and stakeholders to deliver valuable, viable, usable, and feasible solutions. The role harnesses AI and agentic tools to compress the concept-to-cash learning loop—automating analysis, prototyping, and compliance detail-work so the team can focus on the human judgment AI cannot replace: product sense-making.

Responsibilities

• Drive strategy-aligned solutions to achieve product value objectives and showcase a measurable Return on Investments (ROI).
• Formulate and achieve Key Performance Indicators (KPIs) for identified problems to solve, measure outcomes, and analyze results to inform future strategies.
• Leverage AI to harvest outcome evidence early and often, lowering total cost of ownership (TCO).
• Co-create, own, and evangelize the product vision, strategy, and roadmap using AI to deepen domain knowledge and simulate future scenarios.
• Align product objectives with the product line and business goals in collaboration with business stakeholders, engineering, experience, and delivery teams.
• Conduct user research and competitive analysis using AI agents to synthesize research at speed while maintaining human connection.
• Engage with users and stakeholders through continuous research and direct interactions to guide the team toward solutions addressing priority needs.
• Apply analytical skills to derive actionable insights from data, shifting from waiting on analysis to working on insights.
• Adopt innovative and experimental approaches, including AI-built disposable prototypes to validate solutions quickly and retire bad ideas.
• Work side-by-side with cross-functional teams (business, engineering, experience, and delivery) to achieve KPI outcomes.
• Promote a product operating model emphasizing outcomes over output to minimize overproduction while maximizing value.
• Build empowered teams and product communities that exhibit collective product ownership and level-up their potential through AI and agentic tools.
• Drive rapid, emergent, and ongoing learning and adaptation to meet objectives, using AI to offload repetitive tasks and accelerate value achievement.
• Remove obstacles for the team to ensure smooth flow of continuous value achievement and spread knowledge within the product vertical community.
• Amplify innovation by using AI to deepen domain knowledge, surface untapped market potential, and simulate future scenarios.
• Use AI agents to synthesize research and validate ideas before they enter the backlog, compressing lead time.
• Act as Editor-in-Chief, using AI to rigorously test assumptions and retire ideas that do not serve the user’s workflow or business needs.
• Use AI to build early, functional, disposable prototypes that validate architecture and solutions, playing a key role in the Agentic Secure Software Development Life Cycle.

Qualifications

Required:

• Bachelor's degree in business, Marketing, Engineering, or a related field.
• 6+ years of proven experience in lean product management or related roles.
• 3+ years enterprise scale experience across multiple business areas.
• 1+ years of building AI-based intelligent products.
• 1+ year's experience using GenAI tools to perform product management tasks such as idea research, shaping, synthesis, roadmaps, requirements, prototyping, and testing.
• Ability to travel 0-20%, based on work requirements.
• Ability to work in your local office at a minimum of 3 days per week.
• Candidates must be located within a commutable distance to one of the select locations available for this role.

Preferred:

• MBA or related advanced degree.
• Demonstrated experience in modern product craft of delivering the right thing, in the right way, at the right time.
• Significant experience in lean product management craft and domain (tools, methods, and practices).
• Proven accountability for value, viability, and P&L objectives for a product and an empowered product team.
• Deep understanding of customer needs and engagement patterns, driving teams to deliver solutions customers love.
• Expertise in applying customer-centric methods and practices.
• AI Agentic Fluency: Comfortable orchestrating multiple AI agents across the concept-to-cash flow (research, insight, prototyping, specification, coding, and compliance) with guardrails at each hand-off.
• AI Realism and Eval Fluency: Understands the difference between deterministic logic and probabilistic generation; designs guardrails for hallucination, bias, and drift; uses evaluation harnesses before launch and monitors drift after.
• Experience with modern agentic AI tools such as Claude Code, Claude Co-work, Open AI Codex, Cursor, and Visual Studio Code.

Skills

• Ability to work independently and collaborate as part of a team.
• Effective written and verbal communication skills.
• Meticulous attention to detail and quality of work product.
• Ability to build and sustain professional relationships.
• Ability to lead projects or workstreams.
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment.
• Strong interpersonal skills and professional demeanor.
• Ability to meet deadlines.
• Ability to mentor and provide clear guidance to others.

The team

Deloitte Product Engineering (PxE) is developing advanced, agentic AI-enabled solutions that are redefining the future of work across our organization and for global clients. We are committed to bringing together outstanding product, engineering, and design talent to lead this transformation.

Pay

The wage range for this role takes into account factors such as skill sets, experience, training, licensure, certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for geographic differentials. A reasonable estimate of the current range is $113,100 to $232,300. You may also be eligible to participate in a discretionary annual incentive program, subject to program rules, where awards depend on individual and organizational performance.