Senior Manager, Product Management, AI Platform

We are seeking an experienced AI Product leader to own the product strategy roadmap prioritization and release planning for our enterprise Generative AI platform. The platform provides a secure scalable environment for building Generative AI solutions using company-confidential data and enterprise systems.

This role will operate at the intersection of business needs AI platform strategy and engineering execution. The successful candidate will translate a growing portfolio of feature requests and business requirements into clear platform capabilities and engineering deliverables establish priorities based on enterprise value and partner closely with AI Engineering Data Science and business-facing teams to deliver a coherent and high-impact AI platform roadmap.

This is an ideal role for a product leader who combines strong enterprise product management skills with sufficient technical depth in Generative AI data and agentic technologies to effectively shape requirements and make informed product trade-offs.

The Enterprise AI Platform

The platform supports a growing set of enterprise AI capabilities including:

• Secure knowledge and unstructured data: Upload process chunk index and interact with company-confidential unstructured content using approved foundation models.

• Enterprise Knowledge Bases: Create and access a growing repository of governed knowledge bases for business functions and enterprise users.

• Natural language access to structured data: Enable users and AI agents to ask business questions in natural language and access governed Enterprise Data Warehouse data through Text-to-SQL capabilities.

• AI agents and workflow automation: Build and deploy agents that automate or augment enterprise business workflows.

• Shared AI services: Provide reusable capabilities such as translation and other common AI services.

• Model choice and platform evolution: Support approved foundation models and continuously incorporate new AI capabilities as technologies and business needs evolve.

• Key Responsibilities

  1. Product Strategy & Roadmap

• Own and evolve the product vision strategy and roadmap for the Enterprise AI Platform.

• Translate Enterprise AI strategy and business priorities into a coherent set of platform capabilities and product investments.

• Continuously assess emerging AI technologies and product patterns and determine where they should influence the platform roadmap.

• Balance near-term business needs with platform scalability reuse security maintainability and long-term architectural direction.

• 2. Requirements Translation & Product Definition

• Partner with business-facing Data & Analytics teams business stakeholders and technical teams to understand new use cases and capability requests.

• Translate business-level requirements into well-defined platform capabilities user stories acceptance criteria workflows and engineering deliverables.

• Clarify the problem to be solved target users expected business value data requirements dependencies and measures of success before committing engineering capacity.

• 3. Prioritization Backlog & Release Management

• Own the product backlog and establish a transparent framework for evaluating and prioritizing feature requests.

• Prioritize investments based on business impact user reach strategic alignment technical feasibility risk dependencies and engineering effort.

• Partner with AI Engineering leadership to define release plans sequencing milestones and delivery commitments.

• Manage competing stakeholder priorities and communicate product decisions trade-offs roadmap changes and release expectations clearly.

• 4. Platform Adoption & Product Experience

• Develop a deep understanding of how employees and business teams use the platform and identify opportunities to improve usability discoverability adoption and time-to-value.

• Define product success metrics and use platform telemetry user feedback adoption data and business outcomes to guide roadmap decisions.

• Drive consistent product experiences across knowledge bases Text-to-SQL agents model access translation and other platform services.

• Partner with enablement and support teams to improve onboarding documentation release communications and user education.

• 5. Cross-Functional Leadership & Governance

• Serve as the primary product partner to AI Engineering and Data Science teams ensuring engineering execution remains aligned with product priorities and user needs.

• Partner with AI & Data Governance Security Privacy Legal and Infrastructure teams to ensure platform capabilities meet enterprise standards.

• Ensure new features incorporate appropriate security access controls responsible AI data governance observability and operational requirements from the outset.

• Build strong relationships across business functions and create mechanisms for structured intake feedback prioritization and roadmap communication.

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• Distinguish between reusable platform capabilities and one-off use-case requirements driving reuse and standardization wherever appropriate.

Qualifications :

Qualifications

• 8 years of product management experience including leadership of enterprise software data analytics AI/ML cloud or platform products; level will be calibrated based on experience and scope.

• Demonstrated success owning complex product roadmaps and translating ambiguous business needs into clear executable engineering requirements.

• Experience prioritizing large backlogs across multiple stakeholders and making disciplined trade-offs among business value user needs technical complexity and platform strategy.

• Strong understanding of Generative AI concepts and enterprise AI patterns including LLMs/foundation models retrieval-augmented generation and knowledge bases structured-data access/Text-to-SQL and AI agents.

• Experience with AI/ML infrastructure data platforms or cloud services (e.g. model training model serving feature stores vector search LLM infrastructure ML pipelines).

• Working knowledge of cloud platforms APIs enterprise data environments identity/access controls and modern software delivery practices.

• Ability to engage credibly with AI engineers data scientists architects and security teams while communicating effectively with non-technical business stakeholders.

• Strong written and verbal communication stakeholder management and executive presentation skills.

• Proven ability to operate effectively in a rapidly evolving environment where technologies user expectations and priorities change quickly.

• Deep technical background CS EE or equivalent degree strongly preferred; former software engineer experience is a significant plus. You should be comfortable going deep on system architecture writing technical specs and engaging credibly with world-class AI engineers.

Preferred Experience

• Experience managing an internal enterprise AI platform developer platform data platform or other shared enterprise technology product.

• Experience with enterprise GenAI implementations involving confidential or sensitive company data.

• Experience with agentic AI workflow automation semantic layers enterprise search/RAG or natural-language access to structured data.

• Experience establishing product operating mechanisms such as intake processes prioritization frameworks product councils roadmap reviews release planning and adoption metrics.

What Success Looks Like

• A clear business-aligned product strategy and roadmap for the Enterprise AI Platform.

• A disciplined and transparent process for intake prioritization backlog management and release planning.

• Business requests are translated into high-quality product requirements that enable AI Engineering and Data Science teams to execute efficiently.

• Engineering capacity is increasingly directed toward reusable platform capabilities that create value across multiple business functions.

• Platform adoption user experience reliability and measurable business value improve over time.

• Business stakeholders have clear visibility into priorities product decisions upcoming capabilities and release timing.

Why This Role Matters

As enterprise adoption of Generative AI accelerates the number and complexity of requests for new capabilities will continue to grow. This role provides the product leadership required to turn those demands into a focused scalable platform roadmap - ensuring that engineering investment is directed toward the capabilities that create the greatest enterprise value while maintaining the security governance and product discipline required for an enterprise-grade AI platform.

Additional Information :

Due to the nature of our business and the role please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19.  Details can vary by role.

Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees and prohibit discrimination and harassment of any type without regard to race sex pregnancy sexual orientation gender identity national origin color age religion protected veteran or disability status genetic information or any other status protected under federal state or local applicable laws.

Mandatory Notices

U.S. Export Controls Disclaimer:  In accordance with the U.S. Export Administration Regulations (15 CFR 743.13(b)) some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employeeswho are nationals from countries currently on embargo or sanctions status.

Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the governments licensing process can take 3 to 6 months) or (ii) implement a Technology Control Plan (TCP) (note: typically adds 2 weeks to the hiring process).  

For any Intuitive role subject to export controls final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employeesstart date which may or may not be flexible and within a timeframe that does not unreasonably impede the hiring need. If applicable candidates will be notified and instructed on any requirements for these purposes. 

We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.

Preference will be given to qualified candidates who do not reside or plan to reside in Alabama Arkansas Delaware Florida Indiana Iowa Louisiana Maryland Mississippi Missouri Oklahoma Pennsylvania South Carolina or Tennessee.

This position may be filled at a different job level than listed here depending on
business need and/or on the selected candidates experience knowledge and skills.
Compensation will be based primarily on the job level at which the role is filled and the
candidates qualifications consistent with applicable law.

We provide market-competitive compensation packages inclusive of base pay incentives benefits and equity. It would not be typical for someone to be hired at the top end of range for the role as actual pay will be determined based on several factors including experience skills and qualifications. The target compensation ranges are listed.

Remote Work :

No

Employment Type :

Full-time