Technical Product Manager - AI & Enterprise Platforms, Vice President
About this role
Role Summary
Technical Product Manager responsible for leading AI-driven enterprise platform initiatives , with ownership across product strategy, execution, and go-to-market. Drives cross-functional alignment across engineering, infrastructure, and business stakeholders to deliver scalable, enterprise-grade solutions.
Key Responsibilities
- Product Strategy & Roadmap Ownership
- Define and execute product strategy aligned to organizational objectives
- Translate complex, competing priorities into
clear, actionable roadmaps
- Drive prioritization decisions across multiple teams and stakeholders
- AI & Platform Innovation
• Lead development and adoption of AI-powered solutions (e.g., enterprise chatbots, automation tools)
- Build and deploy internal tools leveraging modern AI frameworks and APIs
- Identify opportunities to
scale automation and reduce manual operational effort
- Cross-Functional Leadership
- Partner with engineering, infrastructure, operations, and vendors
- Drive alignment across
large-scale, distributed engineering teams (10+ teams)
- Bridge technical and business domains by translating engineering insights into executive narratives
- Data-Driven Decision Making
- Conduct user discovery and stakeholder interviews to identify friction points
- Leverage analytics and AI to synthesize large volumes of signals into actionable insights
- Build dashboards and reporting frameworks to support leadership decision-making
5. Drive adoption of alternative solutions across regulated environments
- Operational Excellence & Process Design
- Design scalable processes, frameworks, and operating models (e.g., workflows, RACI)
- Improve engineering productivity and capacity allocation
- Ensure quality, reliability, and compliance in product delivery
Required Qualifications
• Experience in Technical Product Management within enterprise or SaaS environments
- Proven track record of managing
complex, cross-functional initiatives
- Strong understanding of
AI/ML applications in enterprise platforms
- Ability to translate technical concepts into business impact narratives
- Experience working with
distributed engineering teams and stakeholder groups
- Strong analytical and problem-solving capabilities
Preferred Qualifications
• Experience with ServiceNow or enterprise workflow platforms
- Familiarity with
cloud infrastructure and enterprise system integrations
- Hands-on experience with tools such as
Python, SQL, APIs, or prototyping tools
- Exposure to
regulated environments (e.g., FIPS-compliant systems)
- Background in
data-driven product discovery and experimentation
guidance
pay transparency statement.
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Skills
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