Who you are

• This is a technical product role and expects the candidate to bring in the hands-on expertise, ensuring enterprise-grade scalability, governance, and performance while delivering customer-centric, impactful solutions that accelerate AI adoption across the organization
• The ideal candidate is a strategic thinker, fast learner, adept problem-solver, and obsessed about customer value
• Typically requires a minimum of 12 years of related experience; a Masters degree with 8 years of enterprise software product management experience, including 5+ years in SaaS or data/AI platforms
• Deep expertise with data platforms, cloud, scalability, event-driven systems, and workload management, data-architecture and governance
• Proven experience building or managing GenAI/LLM capabilities with deep understanding of Applied AI into the world of Data platform
• Background in AI/ML, Data Engineering, or Applied Data Science
• Ability to make trade-offs between technical feasibility, user experience, and business impact
• Exceptional communication and stakeholder management skills to translate complex AI concepts into actionable business specs with outcomes
• Demonstrated success driving large, cross-functional stakeholder in ambiguous, high-growth environments
• Hands-on data expert: Develop deep domain expertise mastering datasets and metrics. Analyze data using tools of your choice (Excel, R, or Python) and build simple machine learning models as needed
• Experience with Agentic AI systems, autonomous agents, retrieval-augmented workflows, or orchestration frameworks
• Familiarity with vector databases, LLMOps, data observability, and responsible AI practices
• Understanding of ServiceNow platform is highly desirable
• Having Figma expertise is a plus

What the job involves

• The ServiceNow Enterprise Data team builds AI powered data solutions to unlock full value of Enterprise data
• This means building capabilities to elevate the automation and experience to build AI-native applications and empowering everyone with Enterprise data to enable data-driven decision making for every persona in the organization
• We are looking for an experienced Technical Product Manager for Enterprise Data team, part of central Data & Analytics team
• With a focus on AI, this person will lead the strategy, roadmap, and execution of data and AI platform capabilities that power next-generation intelligent enterprise applications to enable Enterprise Data for every persona and unlock full value of Enterprise data
• This role focuses on building scalable, trusted, and AI-ready data infrastructure, enabling seamless integration of GenAI and Agentic AI capabilities ensuring data orchestration, model lifecycle management, and observability
• This is a unique role to simplify the complexities for the data-world and create value with unlocking enterprise data yet keeping security as the key consideration
• As enterprises accelerate their AI transformation, the need for scalable, trusted, and data-rich platforms has never been greater
• As a Technical Product Manager for Enterprise Data with a focus on Generative AI and Agentic AI, you will define and drive the strategy for AI-native data platform that power next-generation intelligent applications unlocking the full value of Enterprise data
• Own the design, strategy and roadmap, and execution for enterprise data and GenAI platform capabilities—focusing on data lifecycle management, prompt orchestration, and output validation
• Performs research, partner with x-functional teams, users and business leads, to understand the opportunities fand ideate for enterprise grade design and solutions, with a focus on scale, quality, security, and self-service across the enterprise
• Drive AI readiness and data initiatives, integrating governance, observability, and database capabilities into the platform
• Collaborate closely with horizontal and vertical teams to embed AI-driven capabilities and experiences into key workflows, ensuring reusability, scalability, and trust across the ecosystem
• Combine technical depth with strategic vision, balancing innovation with operational excellence and performance optimization
• Lead cross-functional delivery, managing priorities, dependencies, and success metrics across multiple teams working with users, dev teams, and tech architects on day-to-day basis to understand challenges, gather insights, and co-create AI-powered data solutions that deliver measurable value
• Prototype and validate new Agentic AI and data-driven capabilities, translating early learnings into strategic product direction
• Design solutions with clarity on how users will act and create value from the data and AI models; incorporates feedback loop instrumentation into the design
• Drive the adoption of products amongst the user community, increase product satisfaction and drive ACV the impact from Analytics products
• Champion a customer-centric and data-driven culture, promoting a deep understanding of how data, AI models, and decision intelligence come together to drive business outcomes
• Influence across organizational boundaries, leading alignment between data, AI, and platform product areas to ensure coherent architecture and shared innovation goals

Benefits

• Commuter benefits
• Annual learning stipends
• Work from home opportunities
• Generous family leave
• Matched donations
• Flexible PTO
• 401(k) matching
• Paid volunteer time