About the Role
As an AI Product Owner, you will shape the AI products and agentic solutions for clients and the firm, driving the AI-first transformation work. You will own the functionality of AI products, overseeing everything from business discovery and agentic workflow design to hands-on prototyping, validation, user adoption, and measurable outcomes. This is a non-traditional product owner role that requires collaboration in small multidisciplinary teams with AI Product Engineers, consultants, industry experts, and client teams on live engagements. This role is perfect for those who desire to design and build working agency solutions and witness their direct business impact.
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Responsibilities
- Discovery and problem framing: Engage with users and client teams to understand business problems, map processes, exceptions, decisions, and data dependencies, and identify areas where agents add value versus simpler automation.
- Agentic workflow and solution design: Define agent roles, tool use, hand-offs, human checkpoints, failure handling, and appropriate autonomy. Create solution blueprints that connect user journeys, workflows, data flows, and controls.
- Hands-on prototyping and agent behavior: Construct and refine agent and workflow prototypes using agent platforms, no-code tools, or light scripting. Experiment and test solutions against realistic scenarios.
- Acceptance and readiness: Define and perform functional acceptance tests that cover successful outcomes and edge cases. Own business acceptance and manage technical, security, and risk approvals with specialists.
- Product ownership and value: Develop clear requirements, priorities, backlog, roadmap, and acceptance criteria. Create business cases, establish performance baselines, and measure realized value post-deployment.
- Human-agent experience and adoption: Design user interactions with AI agents and support change management, including training and handover for client teams.
- Responsible AI and controls: Establish guidelines for acceptable use, data access, accountability, and decision boundaries, collaborating with engineers and specialists for proper governance.
- Collaboration and client impact: Transform business needs into actionable scope and align technical constraints with business decisions.
- AI-native practice and continuous improvement: Utilize AI tools to enhance processes and contribute resources as you grow in experience, leading product workstreams and mentoring others.
Skills and Qualifications
- A degree in business, design, engineering, computer science, or a related field, or equivalent practical experience.
- Demonstrated experience in product, digital delivery, user research, service design, or process improvement through work, independent projects, or coursework.
- Evidence of building and testing at least one working AI, agentic, or automation prototype.
- Capability to identify user needs, map processes, and translate ambiguous problems into clear requirements.
- Working technical knowledge of large language models (LLMs), agents, tool integration, APIs, and common technical issues to effectively collaborate with engineers.
- Practical experience in refining agent instructions and workflows based on realistic feedback.
- Ability to recognize dependencies on data, systems, permissions, and human approvals, along with technical or operational constraints.
- Understanding of functional acceptance testing for agent behaviors and when to escalate issues.
- Product judgement, including defining success measures and using data to enhance products.
- A human-centered design approach, focusing on user journeys, trust, and accessibility.
- Strong problem-solving and collaboration abilities with both business and technology stakeholders.
- Excellent written and verbal communication skills in English.
Nice to Have
- Familiarity with agent-builder, low-code, or workflow automation platforms, along with light scripting (e.g., Python or SQL).
- Experience designing and testing user interfaces or human-in-the-loop processes.
- Background in product analytics, value measurement, and digital product improvement.
- Knowledge of change management and end-to-end process transformation.
- Understanding of responsible AI practices and governance.
- Experience in consulting, client-facing roles, or regulated environments, along with a portfolio of working prototypes or solutions launched.
Benefits
- Meaningful work from day one in a global, entrepreneurial environment.
- Support network and flexible career paths, without artificial barriers to advancement.
- Collaborative and impactful team culture that values diversity and authenticity.
Values
- Be Brave: Stand behind your beliefs and explore new possibilities.
- Lead with Heart: Build genuine relationships through transparency and trust, combining passion with skill.
- Strive for Breakthroughs: Pursue ambitious ideas and insights through curiosity and diverse perspectives.
- Work as One: Collaborate as a unified team, celebrating shared achievements while caring for one another.
- Own Our Impact: Act as an entrepreneur and steward, upholding high standards to create lasting change.
