Join Accenture as an AI Native Product Manager – Consultant (Level L9) and help clients transform their products using emerging AI capabilities. In this full-time, flexible location role based out of London, you will collaborate with cross-functional teams to shape product strategies, leverage AI-native tools, and drive agentic ways of working from discovery to scale.
Requirements
2–4 years of experience in product management, product ownership, or an equivalent role, ideally with client-facing exposure.
Experience defining product strategies, managing roadmaps, and delivering digital products with measurable business outcomes in enterprise environments.
Practical experience using AI-powered products or generative AI in product development workflows, such as AI coding agents and rapid prototyping.
Strong product management fundamentals including user discovery, prioritization, product analytics, and experimentation.
Working understanding of LLMs, agentic architectures, tool integrations like MCP, and AI system limitations.
No specific degree requirements are stated in the posting.
Skills & Responsibilities
AI Product Strategy: Shape high-impact AI use cases aligned with client business objectives, user needs, and measurable ROI.
AI-Native Requirements: Translate business problems into clear product requirements and specifications that both engineers and AI coding agents can build from.
AI-First Delivery: Work alongside client teams, AI engineers, data scientists, and UX designers to deliver products from proof-of-value to production using rapid prototyping and agentic workflows.
Experimentation & Optimisation: Define product KPIs, validation methods, and experimentation strategies like A/B testing to drive continuous improvement.
Responsible AI Adoption: Support client adoption of AI products while embedding responsible AI principles, explainability, privacy, security, and regulatory requirements.
Potential transition routes: People from traditional product manager, business analyst, or data science roles may bring strong analytical and stakeholder management skills, alongside meeting the required product lifecycle and technical understanding.
Job description
AI Job Description: AI Native Product Manager – Consultant
Practice: Industry & Enterprise | Data & AI
Level: Consultant L9
Location: Flexible
Who We Are
We are growing our AI Native Product Management capability to meet our clients' need for outcome-oriented AI products, from proof-of-value through to production and scale. If you are energised by reimagining how products are conceived, built, and continuously improved using AI, and by turning emerging AI capabilities into measurable business value, this is the role for you.
The Role
As an AI Native Product Manager at the Consultant level, you will work with Accenture's strategic and emerging accounts to identify, shape, and deliver AI-powered products and embed agentic ways of working across the product lifecycle. You will embed within client organisations, translating business challenges into product strategies, prioritised roadmaps, and actionable requirements, owning product outcomes from discovery through deployment and continuous improvement.
You will be an early member of our Industry & Enterprise Data & AI Product Management capability, working alongside engineers, designers, and senior product leaders to establish AI-first product development practices, accelerate delivery using AI-native tools, and redefine how enterprise products create value.
What You'll Do
Shape AI product strategy — Identify and prioritise high-impact AI use cases aligned with client business objectives, user needs, and measurable ROI. Define product visions, roadmaps, success metrics, and value hypotheses for traditional and agentic AI products.
Assess feasibility and value — Evaluate data availability, AI tool and model capabilities, technical complexity, cost, and enterprise constraints. Work with engineering and data science teams to validate feasibility, establish business cases, and make informed product trade-offs.
Define AI-native product requirements — Translate business problems into clear product requirements, user journeys, and acceptance criteria. Write specifications that both engineers and AI coding agents can build from, created via an AI first approach to speed up and strengthen discovery, requirements, and story writing.
Drive AI-first product delivery — Work shoulder-to-shoulder with client teams, AI engineers, data scientists, and UX designers to deliver products from PoV to production. Leverage AI-native product management tools, rapid prototyping, and agentic workflows to accelerate discovery, experimentation, and delivery.
Lead experimentation and optimisation — Define product KPIs, validation methods, and experimentation strategies, including A/B testing and phased rollouts. Measure delivery speed, quality, and cost, and monitor KPI performance and business impact to drive continuous improvement.
Accelerate adoption and responsible AI — Support client adoption of AI products, embedding responsible AI principles, explainability, privacy, security, and regulatory requirements into product decisions. Help upskill client and Accenture teams in AI-native product practices.
Build strong relationships — Develop trusted relationships with client stakeholders, technical teams, and AI ecosystem partners. Communicate product vision, delivery progress, and business value while proactively identifying new opportunities for AI-led reinvention.
What We're Looking For
Experience
2–4 years of experience in product management, product ownership, or an equivalent role, ideally with client-facing exposure
Experience defining product strategies, managing roadmaps, and delivering digital products with measurable business outcomes, ideally in enterprise environments.
Practical experience using AI-powered products or generative AI in product development workflows, including AI coding agents, spec-driven development, rapid prototyping, and building reusable AI skills or workflows.
Technical & Product Skills
Strong product management fundamentals, including user discovery, requirements definition, prioritisation, product analytics, experimentation, and outcome-based roadmap management.
Working understanding of LLMs, agentic architectures, tool integrations such as MCP, and AI system limitations. Ability to judge where AI will genuinely add value and assess technical feasibility.
Hands-on with AI-native tools for research, prototyping, product specification, and delivery. Confident building functional prototypes with AI coding agents and prototyping tools to validate ideas.
Data-driven mindset with the ability to define success metrics, interpret product and delivery performance, assess ROI, and balance user experience, technical feasibility, cost, and risk.
Consulting & Client Skills
High agency; comfortable navigating ambiguity, challenging traditional product development approaches, and driving outcomes without a well defined playbook
Strong stakeholder management and communication skills; able to translate complex AI concepts into clear product decisions, align business and technical teams, and influence client priorities.
Curious, commercially minded, and technically fluent. You rapidly adopt emerging AI capabilities, test hypotheses through experimentation, and focus on delivering tangible user and business value.
Preferred
Domain exposure in Media, or experience delivering AI-enabled products or digital transformation initiatives.
Experience with agentic product patterns, AI-assisted software development, or deploying AI products into enterprise environments.
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
