AI Product Engineer Jobs in Mountain View, CA
AI Product Engineer jobs in Mountain View are in high demand, concentrated in the North Bayshore tech corridor, Castro Street district, and the San Antonio Center area, across AI infrastructure, enterprise software, and consumer platforms. Employers hiring right now include Intuit, Google, and ServiceNow. See the openings below and apply to the ones that match your experience.
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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
- Intuit81

- Google70

- ServiceNow47

- Newsbreak23

- Gen Digital23

Top Industries Hiring
- Technology & Software
AI Product Engineer Jobs in Mountain View: Frequently Asked Questions
How do I get a ai product engineer job in Mountain View?
Mountain View's ai product engineer market is driven by large tech campuses in North Bayshore and the San Antonio corridor, plus a dense cluster of AI-focused startups near Castro Street. Candidates with hands-on experience building ML-powered product features, defining technical roadmaps, and working closely with applied research teams have a clear edge. Targeting companies with dedicated AI labs or platform teams gives you the strongest entry point locally.
Which companies hire ai product engineers in Mountain View?
Mountain View ai product engineer roles are posted by Intuit, Google, and ServiceNow and others right now, based on current listings on Migrate Mate as of November 2026. The city hosts a mix of established tech giants with large AI product divisions and well-funded startups building foundation model applications, making it one of the most active hiring clusters in the Bay Area for this role.
Are there remote ai product engineer jobs in Mountain View?
Yes, though fully remote arrangements are more common for analytical and roadmap-heavy responsibilities than for roles requiring close collaboration with on-site research or hardware teams. About 100% of ai product engineer openings tied to Mountain View are remote or hybrid as of November 2026. Strategy, requirements definition, and cross-functional coordination work are the parts of the role most frequently done remotely by Mountain View employers.
How can I get a ai product engineer job in Mountain View with little or no experience?
The most realistic entry path in Mountain View is through associate product manager or technical program coordinator roles at mid-size AI software companies near Castro Street or the Shoreline area, where teams are smaller and cross-functional exposure happens faster. Building a portfolio of AI tool prototypes or contributing to open-source ML projects signals hands-on ability. Targeting growth-stage startups over large campuses often means less competition and broader early responsibility.
Which industries hire the most ai product engineers in Mountain View?
Mountain View ai product engineer roles concentrate in Technology & Software, based on current listings on Migrate Mate as of November 2026. Mountain View's identity as a hub for search, cloud infrastructure, and consumer AI means these sectors consistently generate the highest volume of openings as companies compete to embed AI capabilities directly into their core products.
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