You Are

You are an exceptional AI-native product manager who has taken meaningful products or product areas from zero to one and owned them through launch, adoption, and growth. You combine strong product judgment with customer empathy, commercial instinct, analytical rigor, and a high bar for quality. You are comfortable starting with an ambiguous customer problem, developing a clear point of view, and working with design and engineering to turn it into a product that customers value and use.

You do not treat AI as a feature to add to an otherwise conventional product. You understand how agentic systems change what a product can do, how users interact with it, how work is completed, and where human judgment should remain in the loop.

You are also AI-native in how you work. You use AI tools extensively to accelerate research, synthesize customer input, explore product concepts, test assumptions, draft specifications, analyze data, and improve the quality and speed of your decisions.

You are energized by small teams, high autonomy, direct customer exposure, and the opportunity to help define how a new product organization should operate.

What You Will Do:

Discover important customer problems. Develop a deep understanding of the industries, users, workflows, and business problems your product is intended to address. Work directly with customers, design partners, domain experts, sales teams, and industry leaders to identify where a product can create meaningful and repeatable value. Separate genuine market pull from one-off customer requests, internal enthusiasm, or services opportunities.

Define the product direction. Set a clear product vision, strategy, and near-term thesis for your area. Define what the product will do, who it is for, why it will win, and what the team should deliberately not build. Turn ambiguous opportunities into focused product bets that a small team can test and ship quickly. Make clear tradeoffs across customer value, technical feasibility, commercial potential, speed, quality, and strategic fit.

Build AI-native products. Shape products around the capabilities and limitations of modern AI systems rather than applying AI superficially to existing workflows. Define how agents should reason, act, use tools, interact with users, handle uncertainty, and escalate when human judgment is required. Work with engineering and design to define product behavior, evaluations, quality thresholds, failure handling, trust mechanisms, and human-in-the-loop experiences.

Lead zero-to-one product development. Work as part of a small, cross-functional team with design and engineering from the earliest stages of discovery. Move quickly from customer problem to prototype, design-partner validation, production product, and broader market launch. Write clear product briefs, requirements, decision documents, and acceptance criteria without creating unnecessary process or overhead. Use prototypes and working software to learn rather than relying primarily on presentations, lengthy planning cycles, or abstract market research.

Own product quality. Hold a high bar for the end-to-end customer experience, not simply feature completion. Work closely with design to ensure the product is intuitive, coherent, and appropriate for the complexity of the workflow. Define what good looks like through clear product outcomes, behavioral expectations, evaluation criteria, and quality thresholds. Treat the quality of AI outputs, user trust, and operational reliability as core product responsibilities.

Validate demand and commercial value. Build with design partners and early customers to test whether the product solves an important enough problem to earn sustained usage and budget. Define the hypotheses that must be proven across desirability, usability, technical performance, business value, and willingness to pay. Partner with commercial and industry leaders on positioning, packaging, pricing, routes to market, and launch strategy. Distinguish between customer interest, pilot activity, product adoption, and durable market demand.

Own outcomes after launch. Define the product’s goals, success measures, and key results. Use product data, customer behavior, qualitative feedback, support signals, evaluations, and commercial performance to understand what is working and what is not. Own adoption, usage, retention, customer value, and product quality—not simply roadmap delivery.

Operate AI-native. Use AI tools as a core part of your daily product management workflow. Apply AI to customer research, synthesis, competitive analysis, product exploration, prototyping, data analysis, documentation, and decision support. Build repeatable context, prompts, workflows, and tools that improve your own leverage and the effectiveness of the broader product team. Understand the limits of AI-generated analysis and remain accountable for the quality of the decisions that result.

Raise the product bar. Bring strong product judgment and help the team distinguish between adequate and exceptional work. Create clarity when the team faces ambiguity, competing priorities, or incomplete information. Help other product managers improve their customer thinking, prioritization, product judgment, and AI-native practices. Contribute to the shared principles, standards, tools, and operating model of the broader product organization.

Working Model

This is a hybrid role based in Seattle, Mountain View, San Francisco, San Jose, or New York. Team members are expected to work regularly with their local product team in person. The role may involve periodic travel to meet with customers, design partners, or other product teams. It is not a client-staffing or full-time travel role.

Here's What You Need:

• Minimum 8 years of experience in product management, including ownership and delivery of enterprise software products, digital platforms, or technology-enabled business solutions.

• Minimum 8 years of experience leading products, major capabilities, platforms, or new business initiatives from concept through launch, adoption, and ongoing optimization.

• Minimum 2 years of substantive, hands-on experience building, launching, or managing AI-native products as part of day-to-day product management responsibilities.

• Minimum 2 years of experience defining and delivering products that leverage large language models (LLMs), AI agents, retrieval systems, tool integrations, workflow automation, or other generative AI technologies.

• Minimum 2 years of experience evaluating and managing AI product performance, including model capabilities, limitations, reliability, cost considerations, risk mitigation, and operational scalability.

• Minimum 8 years of experience partnering closely with software engineers, UX designers, and cross-functional stakeholders to deliver high-quality production software.

• Minimum 8 years of experience conducting customer discovery, user research, stakeholder interviews, or market analysis to identify and validate product opportunities.

• Minimum 8 years of experience simplifying complex business processes, workflows, or user experiences into scalable product solutions.

• Minimum 8 years of experience defining product strategy, establishing product roadmaps, prioritizing investments, and making tradeoff decisions in evolving or ambiguous environments.

• Minimum 8 years of experience using quantitative and qualitative data, including customer feedback, product analytics, experimentation, and market insights, to inform product decisions.

• Minimum 8 years of experience contributing to commercial product outcomes, including customer adoption, value realization, pricing strategy, revenue growth, market expansion, or business case development.

• Minimum 8 years of experience presenting product strategy, business cases, roadmap decisions, and product performance metrics to executive leaders, customers, and cross-functional stakeholders.

• Minimum 2 years of experience utilizing AI-powered productivity tools, copilots, analytics platforms, or automation solutions to improve product management effectiveness and decision-making.

• Minimum 8 years of experience working independently with significant ownership and accountability in fast-paced, ambiguous, or high-growth environments.

• Bachelor's degree or equivalent (minimum 12 years) work experience. If Associate's degree, must have a minimum of 6 years of work experience.

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 09/13/2026.

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

Role Location Annual Salary Range
California $163,000 to $434,000
Cleveland $150,900 to $347,200
Colorado $163,000 to $375,000
District of Columbia $173,500 to $399,300
Illinois $150,900 to $375,000
Maine $138,800 to $319,400
Maryland $163,000 to $375,000
Massachusetts $163,000 to $399,300
Minnesota $163,000 to $375,000
New York $150,900 to $434,000
New Jersey $173,500 to $434,000
Virginia $150,900 to $399,300
Washington $173,500 to $399,300