Deloitte Customer team is looking to hire an AI and Emerging Technologies Product Manager to help clients build, enhance, and launch new digital products, focusing on AI-first and AI-native approaches, to solve complex business problems and drive customer value.
Requirements
- 2+ years experience working in AI or emerging technologies
- Technical proficiency-comfortable with software engineering concepts, architecture trade-offs, and solutioning.
- Hands-on expertise implementing product analytics, establishing KPIs/OKRs, and driving data-informed iterations; can cite at least two examples of A/B testing or experimentation that led to improved product outcomes.
- Minimum 3 years' experience working within Agile methodologies, including backlog management, sprint leadership, and release planning for digital products.
- Demonstrated fluency with modern AI technologies (LLMs, RAG, ML pipelines) and experience integrating AI into digital product strategies and architectures.
- Hands-on experience leading AI adoption initiatives, including prototyping, experimentation, and evaluating AI models or platforms.
Responsibilities
- Research emerging technologies (including AI use cases) to help identify and recommend new solutions for clients.
- Translate product vision into actionable implementation plans.
- Help prioritize features and enhancements based on user needs, analytics, and business impact.
- Combine analytical skills, product insights, and entrepreneurial spirit to actively contribute to successful product launches and iterations.
- Own the end-to-end success of digital products that fuel our clients' biggest growth opportunities and enhance customer experiences.
- Demonstrated fluency with modern AI technologies (LLMs, RAG, ML pipelines) and experience integrating AI into digital product strategies and architectures.
- Hands-on experience leading AI adoption initiatives, including prototyping, experimentation, and evaluating AI models or platforms.
Other
- Act as a manager: Take accountability for validating market opportunities, shaping new business models, and ensuring successful, cross-functional execution - from product and engineering through design and go-to-market.
- Prove it through experience: Bring a proven record of working on high velocity teams building digital products or companies from ideation through launch; provide concrete case studies and metrics demonstrating business impact.
- Collaboration & Communication: Partner with engineers, designers, and strategists to execute against the product roadmap. Facilitate communication across team functions; assist with stakeholder presentations and product demos to share progress and learnings.
- Continuous Learning: Stay current on technology trends, contribute to team knowledge sharing, and build a personal reputation as a go-to resource for product leadership and delivery.
- Bachelor's degree in Business, Computer Science, Engineering, or a related field required.
- 5+ years of professional experience in product management, digital product development, or venture operations
- Minimum 5 years of experience in leading end-to-end engineering product strategy and implementation for software or technology solutions
- Been a part of a team that has built and launched at least one digital product or venture from concept to market adoption.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Ability to travel up to 40% on average based on the work you do and the clients and industries/sectors you serve
- Prior experience launching and scaling startups, ventures, or new business units inside large organizations.
- Background combining consulting, hands-on product leadership, and entrepreneurial achievement.
- Proven ability to shape, validate, and execute new business models-should have led the go-to-market strategy and financial planning for a new product, including securing internal/external funding or investment.
- Demonstrated experience presenting to and influencing senior client stakeholders in strategic decision-making contexts.
