AI Product Owner Jobs in Mountain View, CA
AI Product Owner jobs in Mountain View are in high demand, concentrated in the North Bayshore tech corridor, Castro Street's innovation hub, and the Moffett Field adjacent campuses, across AI infrastructure, enterprise SaaS, and consumer technology. Employers hiring right now include Intuit, Google, and ServiceNow. Scan the live roles below and apply to whichever ones fit.
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Overview
We are seeking a Sr. Staff Product Manager to lead the strategy and roadmap for AI Context capabilities within Intuit's Consumer Group (CG). In this role, you will own the foundational context platform that enables TurboTax and Credit Karma teams to build deeply personalized, relevant, and trustworthy consumer AI experiences at scale.
You will define how AI agents understand each customer's goals, needs, and journey by bringing together context from their conversations, persistent memory, actions, pages they view, and their own data. The platform will ensure the right context is available to agents at the right moment, with appropriate permissions, privacy safeguards, and controls.
This is a deeply technical and high-impact product leadership role. You will work closely with multiple AI experience PMs, AI engineers, and partner teams to solve complex challenges in context engineering, memory, retrieval, grounding, large-scale customer data integration, and agent evaluation. You will identify which experience needs should become reusable platform capabilities and drive them from strategy through adoption and measurable customer impact.
If you have built Agentic AI platforms and large-scale customer data systems, this is an opportunity to define a critical layer of Intuit's AI technology stack and shape the next generation of personalized consumer AI experiences across Credit Karma and TurboTax.
Responsibilities
- Define and drive the long-term vision, strategy, and roadmap for the AI Context platform, enabling teams to deliver sophisticated, context-aware consumer agents at scale.
- Own the end-to-end strategy for capturing, structuring, retrieving, and serving relevant context from conversations, memory, customer actions, page views, and permissioned customer data.
- Drive foundational context capabilities, including short- and long-term memory, context assembly, retrieval and grounding, relevance and freshness, and secure access patterns for agents.
- Collaborate deeply with AI experience PMs and AI engineers across TurboTax and Credit Karma, to translate real consumer needs into reusable platform primitives and accelerate adoption.
- Partner with internal AI platform teams including data, identity, privacy, security to ensure reusable, scalable, permission-aware use of customer context across products and experiences.
- Establish rigorous offline and online agent evaluation frameworks to measure how context improves response quality, personalization, task completion, customer trust, and business outcomes.
- Demonstrate end-to-end ownership of complex, cross-organizational initiatives, aligning technical architecture, product tradeoffs, delivery, and adoption to measurable customer impact.
Qualifications
- 7+ years of product management experience building consumer-facing technology platforms, large-scale customer data systems, personalization infrastructure, or AI/ML products.
- 2+ years of experience building and shipping production-grade Agentic AI platforms, with a strong understanding of consumer-facing agents and their product and technical requirements.
- Deep technical understanding of modern Agentic AI and context engineering, including agent SDKs, conversational state, memory architectures, retrieval/RAG, grounding, tool use, and customer data integration.
- Proven experience working with large-scale customer data platforms, including real-time signals, data quality, low-latency access, privacy controls, and production reliability.
- Demonstrated experience designing and using agent evaluation frameworks, including offline and online evaluations of agent quality, personalization, and task outcomes.
Proven track record of high-ownership product leadership, successfully driving complex foundational platforms from concept to production and broad adoption.
Strong ability to influence and align AI engineering, AI science, consumer experience, data, privacy, security, and other platform teams in a highly matrixed organization
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
Mountain View $205,500 - $278,000
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Who's Hiring
- Intuit74

- Google64

- ServiceNow43

- Newsbreak21

- Gen Digital21

Top Industries Hiring
- Technology & Software
AI Product Owner Jobs in Mountain View: Frequently Asked Questions
How do I get a ai product owner job in Mountain View?
The strongest path is targeting Mountain View's dense cluster of AI-native and enterprise SaaS companies, particularly those building large language model products, developer tools, and platform infrastructure. Candidates who can demonstrate hands-on experience scoping AI features, writing detailed product requirements for ML teams, and measuring model performance outcomes stand out. Networking within the North Bayshore tech campus ecosystem and attending local product and AI meetups also gives candidates a meaningful edge in this market.
Which companies hire ai product owners in Mountain View?
Employers hiring ai product owners in Mountain View right now include Intuit, Google, and ServiceNow, based on current listings on Migrate Mate as of November 2026. Mountain View is home to a mix of major technology giants, growth-stage AI startups, and research-driven companies, giving candidates options from large established teams to early-stage roles with broad scope.
Are there remote ai product owner jobs in Mountain View?
Yes, though many Mountain View ai product owner roles favor in-person or hybrid arrangements given the collaborative nature of working with on-site engineering and research teams. About 100% of ai product owner openings tied to Mountain View are remote or hybrid as of November 2026, with the most remote-friendly positions tending to be in platform strategy and roadmap planning rather than roles requiring daily cross-functional lab collaboration.
How can I get a ai product owner job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is through associate product manager or AI program coordinator roles at mid-size SaaS and AI infrastructure companies, which often hire candidates with strong analytical skills and some technical coursework over direct product experience. Building a portfolio of AI product case studies, contributing to open-source AI projects, or completing a structured APM program can substitute for work history. Local companies here value hands-on familiarity with tools like prompt engineering workflows and model evaluation frameworks.
Which industries hire the most ai product owners in Mountain View?
Mountain View ai product owner roles concentrate in Technology & Software, based on current listings on Migrate Mate as of November 2026. Mountain View's position at the center of Silicon Valley's AI research and enterprise software ecosystem makes it a natural hub for these sectors, with companies there investing heavily in AI product teams to build and ship production-ready intelligent systems.
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