Accenture
Mountain View, CA
+ 4 other locations
Accenture is building a new portfolio of agentic software products in the industries we have spent decades helping to transform. We begin with advantages most product companies do not have: deep industry expertise, trusted relationships with many of the world’s largest organizations, and direct access to the complex workflows and problems that matter most to them. That allows us to build closely with customers while creating repeatable products that can be taken broadly to market. We are forming small, highly capable product teams to do this. These teams bring product management, design, and engineering together with the autonomy to move quickly, make decisions, and own outcomes from the earliest prototype through production and scale. This is a product management role within a permanent product team. It is not a consulting delivery, program management, project management, product owner, or forward-deployed role.
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.
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.
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.
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:
U.S. Employee Benefits | Accenture
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
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