AI Native Product Manager

About the role

Accenture is building a new portfolio of agentic software products in industries where we have decades of transformation experience. We start with unique advantages: 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. This allows us to build closely with customers while creating repeatable products for broad market adoption.

This is a permanent product management role within a small, highly capable product team that brings together product management, design, and engineering with the autonomy to move quickly, make decisions, and own outcomes from prototype through production and scale. It is not a consulting delivery, program management, project management, product owner, or forward-deployed role.

Responsibilities

• Discover important customer problems by developing a deep understanding of industries, users, workflows, and business problems. 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 requests or internal enthusiasm.
• Define the product direction by setting a clear vision, strategy, and near-term thesis. Turn ambiguous opportunities into focused product bets that a small team can test and ship quickly. Make tradeoffs across customer value, technical feasibility, commercial potential, speed, quality, and strategic fit.
• Build AI-native products by shaping products around the capabilities and limitations of modern AI systems. 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 as part of a small, cross-functional team. 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 unnecessary process.
• Own product quality by holding a high bar for the end-to-end customer experience. Define what good looks like through clear product outcomes, behavioral expectations, evaluation criteria, and quality thresholds. Treat AI output quality, user trust, and operational reliability as core responsibilities.
• Validate demand and commercial value by testing whether the product solves an important enough problem to earn sustained usage and budget. Define hypotheses across desirability, usability, technical performance, business value, and willingness to pay. Partner with commercial leaders on positioning, packaging, pricing, and launch strategy.
• Own outcomes after launch by defining success measures and key results. Use product data, customer behavior, qualitative feedback, and commercial performance to understand what is working and what is not. Own adoption, usage, retention, customer value, and product quality—not just roadmap delivery.
• Operate AI-natively by using AI tools as a core part of your daily workflow. Apply AI to customer research, synthesis, competitive analysis, product exploration, prototyping, data analysis, documentation, and decision support. Build repeatable context, prompts, and tools to improve leverage and team effectiveness.
• Raise the product bar by bringing strong product judgment and helping the team distinguish between adequate and exceptional work. Create clarity amid ambiguity, competing priorities, or incomplete information. Help other product managers improve their practices and contribute to shared principles, standards, and tools.

Requirements

• 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.

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.

Pay

Compensation at Accenture varies by location, role, skill set, and experience. The following ranges are provided as required by local law:

• 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

Benefits

Accenture offers a market-competitive suite of benefits, including:

• Medical, dental, vision, life, and long-term disability coverage
• 401(k) plan with company match
• Bonus opportunities
• Paid holidays and paid time off

For more details, visit U.S. Employee Benefits | Accenture.