{"id":69153,"url":"https://alion.io/job/intuitive-senior-manager-product-management-ai-platform","title":"Senior Manager, Product Management, AI Platform","company":{"id":3128,"name":"Intuitive Surgical","domain":"intuitive.com","url":"https://alion.io/company/intuitive","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":76,"open_postings":71,"ghost_share":0,"stale_share":0.972,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Product","role_family":"Product","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":219000,"max_usd":405000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2761},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Feature Store","optional":false},{"name":"LLM","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-21T19:39:02Z","employer_posted_date":"2026-08-21","last_verified_at":"2026-11-02T20:32:49Z","board_verified":true,"closed_at":null,"days_open":73,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":73},"description":"It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive. As a global leader in robotic-assisted surgery and minimally invasive care, our technologies-like the da Vinci surgical system and Ion -have transformed how care is delivered for millions of patients worldwide.\nWe’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world.\nThe problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful-because every improvement we make has the potential to change a life.\nIf you’re ready to contribute to something bigger than yourself and help transform the future of healthcare, you’ll find your purpose here.\n 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.\nThis 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.\nThis 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.\nThe Enterprise AI Platform\nThe platform supports a growing set of enterprise AI capabilities, including:\nSecure knowledge and unstructured data: Upload, process, chunk, index, and interact with company-confidential unstructured content using approved foundation models.\n\nEnterprise Knowledge Bases: Create and access a growing repository of governed knowledge bases for business functions and enterprise users.\n\nNatural 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.\n\nAI agents and workflow automation: Build and deploy agents that automate or augment enterprise business workflows.\n\nShared AI services: Provide reusable capabilities such as translation and other common AI services.\n\nModel choice and platform evolution: Support approved foundation models and continuously incorporate new AI capabilities as technologies and business needs evolve.\n\nKey Responsibilities\n1. Product Strategy & Roadmap\n\nOwn and evolve the product vision, strategy, and roadmap for the Enterprise AI Platform.\n\nTranslate Enterprise AI strategy and business priorities into a coherent set of platform capabilities and product investments.\n\nContinuously assess emerging AI technologies and product patterns and determine where they should influence the platform roadmap.\n\nBalance near-term business needs with platform scalability, reuse, security, maintainability, and long-term architectural direction.\n\n2. Requirements Translation & Product Definition\n\nPartner with business-facing Data & Analytics teams, business stakeholders, and technical teams to understand new use cases and capability requests.\n\nTranslate business-level requirements into well-defined platform capabilities, user stories, acceptance criteria, workflows, and engineering deliverables.\n\nClarify the problem to be solved, target users, expected business value, data requirements, dependencies, and measures of success before committing engineering capacity.\n\n3. Prioritization, Backlog & Release Management\n\nOwn the product backlog and establish a transparent framework for evaluating and prioritizing feature requests.\n\nPrioritize investments based on business impact, user reach, strategic alignment, technical feasibility, risk, dependencies, and engineering effort.\n\nPartner with AI Engineering leadership to define release plans, sequencing, milestones, and delivery commitments.\n\nManage competing stakeholder priorities and communicate product decisions, trade-offs, roadmap changes, and release expectations clearly.\n\n4. Platform Adoption & Product Experience\n\nDevelop a deep understanding of how employees and business teams use the platform and identify opportunities to improve usability, discoverability, adoption, and time-to-value.\n\nDefine product success metrics and use platform telemetry, user feedback, adoption data, and business outcomes to guide roadmap decisions.\n\nDrive consistent product experiences across knowledge bases, Text-to-SQL, agents, model access, translation, and other platform services.\n\nPartner with enablement and support teams to improve onboarding, documentation, release communications, and user education.\n\n5. Cross-Functional Leadership & Governance\n\nServe as the primary product partner to AI Engineering and Data Science teams, ensuring engineering execution remains aligned with product priorities and user needs.\n\nPartner with AI & Data Governance, Security, Privacy, Legal, and Infrastructure teams to ensure platform capabilities meet enterprise standards.\n\nEnsure new features incorporate appropriate security, access controls, responsible AI, data governance, observability, and operational requirements from the outset.\n\nBuild strong relationships across business functions and create mechanisms for structured intake, feedback, prioritization, and roadmap communication.\n\nDistinguish between reusable platform capabilities and one-off use-case requirements, driving reuse and standardization wherever appropriate.\n\n Qualifications\n8+ 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.\n\nDemonstrated success owning complex product roadmaps and translating ambiguous business needs into clear, executable engineering requirements.\n\nExperience prioritizing large backlogs across multiple stakeholders and making disciplined trade-offs among business value, user needs, technical complexity, and platform strategy.\n\nStrong 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.\n\nExperience with AI/ML infrastructure, data platforms, or cloud services (e.g., model training, model serving, feature stores, vector search, LLM infrastructure, ML pipelines).\n\nWorking knowledge of cloud platforms, APIs, enterprise data environments, identity/access controls, and modern software delivery practices.\n\nAbility to engage credibly with AI engineers, data scientists, architects, and security teams while communicating effectively with non-technical business stakeholders.\n\nStrong written and verbal communication, stakeholder management, and executive presentation skills.\n\nProven ability to operate effectively in a rapidly evolving environment where technologies, user expectations, and priorities change quickly.\n\nDeep 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.\n\nPreferred Experience\nExperience managing an internal enterprise AI platform, developer platform, data platform, or other shared enterprise technology product.\n\nExperience with enterprise GenAI implementations involving confidential or sensitive company data.\n\nExperience with agentic AI, workflow automation, semantic layers, enterprise search/RAG, or natural-language access to structured data.\n\nExperience establishing product operating mechanisms such as intake processes, prioritization frameworks, product councils, roadmap reviews, release planning, and adoption metrics.\n\nWhat Success Looks Like\nA clear, business-aligned product strategy and roadmap for the Enterprise AI Platform.\n\nA disciplined and transparent process for intake, prioritization, backlog management, and release planning.\n\nBusiness requests are translated into high-quality product requirements that enable AI Engineering and Data Science teams to execute efficiently.\n\nEngineering capacity is increasingly directed toward reusable platform capabilities that create value across multiple business functions.\n\nPlatform adoption, user experience, reliability, and measurable business value improve over time.\n\nBusiness stakeholders have clear visibility into priorities, product decisions, upcoming capabilities, and release timing.\n\nWhy This Role Matters\nAs 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.\n 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.\nIntuitive 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.\nMandatory Notices\nU.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 employees who are nationals from countries currently on embargo or sanctions status.\nCertain 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 government’s 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).\nFor 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 employee’s start 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.\nWe will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws.\nPreference 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.\nThis position may be filled at a different job level than listed here depending on\nbusiness need and/or on the selected candidate’s experience, knowledge and skills.\nCompensation will be based primarily on the job level at which the role...","description_format":"text","description_chars":12426,"description_truncated":true,"requirements":{"experience_years_min":8,"management_years_min":8,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All 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