Owns strategy, roadmap, and lifecycle for enterprise AI products and reusable AI capabilities serving multiple customer journeys, business units, or platforms.
Accountable for measurable business outcomes including revenue growth, cost reduction, adoption, retention, automation impact, and customer experience improvement.
Drives multi-year product investment strategy, including business cases, funding requests, and prioritization of AI initiatives across a portfolio of opportunities.
Own the product lifecycle for complex technical solutions, ensuring alignment with business objectives and customer needs.
Conducts deep customer research and market analysis to identify breakthrough AI opportunities.
Defines success metrics and tracks progress against ambitious growth targets.
Anticipates AI trends and competitive threats, incorporating insights into product strategy.
Conducts analysis of quantitative and qualitative data to identify product innovation opportunities or root cause of issues, and assess opportunity size and impact.
May work with data scientists to answer complex questions or identify meaningful insights from data.
Leverages rapid hypothesis driven testing methodologies and experiments (i.e. paper prototype, A/B testing, etc.) to inform direction, prioritize investment.
Communicates, influences, and sells ideas at SVP/EVP/C-Level and below. This includes regularly delivering product presentations.

Bachelor's Degree in Computer Science, Engineering, IT or equivalent experience.
8+ years’ experience in hands on technical role writing production code, solution engineering, or technical architecture in large scale company / application / product environment.
More than 10 years Relevant Product Management experience in an agile software product development environment.
Demonstrates complete mastery of business side skills (communication, customer research, product vision, feature definition), as well as technical architecture, Dev, and execution skills.
Proven analytical skills with demonstrated ability to identify/analyze/synthesize product use data and use the data to drive decisions.
Mastery level (industry leading) understanding of customer experience.
Mastery level understanding of platform technologies and components such as security, performance, optimization, API integration.
Expert level knowledge of full technology stack on which your assigned product runs.
Proven success in directing matrixed resources and delivering software, with Agile Scrum methodologies and other commonly used tools, across multiple teams.
Experience working with external partners, vendors, and ecosystem players.
Expertise in design thinking, lean startup methodologies, rapid prototyping, and hypothesis-driven development.

Principal AI Product Manager – Technical

Key skills