AI Product Engineer Visa Sponsorship Jobs in California
California leads U.S. hiring for AI product engineers, with major employers including Google, Meta, Apple, and Salesforce concentrated in the Bay Area, Los Angeles, and San Diego. Companies across these hubs regularly sponsor H-1B visa and O-1 visas for qualified candidates, making California one of the most active states for AI product engineering sponsorship.
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Get Access To All JobsINTRODUCTION
Say hello to opportunities.
It’s not every day that you consider starting a new career. We’re RingCentral, and we’re happy that someone as talented as you is considering this role. First, a little about us, we’re a $2 Billion annual revenue company with double-digit Annual Recurring Revenue (ARR) and a $93 Billion market opportunity in UCaaS, Contact Center, and AI-powered adjacencies. We invest more than $250 million annually to ensure our AI-enabled technology and platforms meet or exceed the needs of our customers.
RingSense AI is our proprietary AI solution. It’s designed to fit the business needs of our customers, orchestrated to be accurate and precise, and built on the same open platform principles we apply to our core software solutions.
RingCentral's Enterprise AI organization is looking for a strong hybrid: someone who can walk into a business meeting, identify the enterprise AI opportunity, architect the solution, and then build it. This is not a traditional product management role. We are hiring an AI Product Engineer — a hands-on technologist with enough product instinct to own the “why,” enough architecture depth to define the “how,” and enough engineering skill to actually build it.
You will sit within our product management team and serve as a force multiplier — partnering with business stakeholders & product managers to uncover AI opportunities, designing end-to-end solutions, prototyping quickly, and driving production delivery alongside engineering. The emphasis is firmly on building and architecting, with product management as your professional home base.
ROLE AND RESPONSIBILITIES
Architect AI Solutions End-to-End
- Join business meetings and workshops to uncover automation and AI opportunities in real time; translate them into concrete solution architectures on the spot.
- Design and recommend solution patterns — RAG pipelines, agentic workflows, MCP integrations, prompt/eval frameworks — choosing the right approach for each use case.
- Own build-vs-buy decisions: evaluate third-party AI tools (Copilot, Gemini, Claude, etc.) against custom in-house builds using structured technical and business criteria.
- Define data flows, integration points, and system contracts across enterprise platforms such as Salesforce, Workday, NetSuite, and cloud AI services (AWS, GCP, Azure).
Build and Ship Hands-On
- Develop working prototypes, proof-of-concepts, and production-grade AI features — not slide decks.
- Implement and iterate on RAG pipelines, LLM orchestrations, agentic workflows, API integrations, and chatbot/copilot experiences.
- Establish telemetry and LLM evaluation frameworks (correctness, faithfulness, latency, cost, token usage) and monitor live systems post-launch.
- Collaborate closely with engineering teams through code reviews, technical workshops, and paired development sessions.
Drive Product Direction
- Partner with business units (Sales, Marketing, HR, Finance, Legal, CX) to identify high-impact use cases, quantify ROI, and define measurable success criteria.
- Maintain the product roadmap for AI initiatives, owning quarterly planning, backlog prioritization, and end-to-end AI-DLC from discovery through launch and iteration.
- Keep a current AI tool landscape and comparison matrix spanning general-purpose copilots and function-specific enterprise apps.
- Use agile rituals and rapid experimentation to learn quickly and keep delivery momentum.
Evangelize and Enable
- Serve as the organization’s resident AI practitioner: educate stakeholders on what’s possible, set realistic expectations, and demystify technical concepts for non-technical audiences.
- Lead AI training sessions, internal demos, and working sessions to accelerate adoption across business functions.
- Monitor and communicate the quantifiable impact of launched AI solutions (time saved, quality, adoption, CSAT).
BASIC QUALIFICATIONS
- 3+ years of hands-on experience building or integrating AI-powered solutions in an enterprise setting (RAG, LLM applications, AI agents, or similar).
- Demonstrated ability to architect solutions from scratch — designing data flows, integration patterns, and system components in live stakeholder settings.
- Proficiency in at least one scripting or development language (Python strongly preferred; familiarity with JavaScript/TypeScript a plus).
- Solid grasp of modern AI/ML concepts: LLMs, embeddings, vector databases, prompt engineering, retrieval-augmented generation, and agent frameworks.
- Experience integrating with enterprise APIs and platforms (REST, GraphQL, OAuth 2.0, webhooks) and familiarity with data stores (PostgreSQL, MongoDB, Redis, or similar).
- Strong communication skills — able to explain technical architecture clearly to executives, and to translate fuzzy business problems into precise technical requirements.
- A track record of shipping: prototypes that became products, pilots that became programs.
PREFERRED QUALIFICATIONS
- Exposure to enterprise systems: Salesforce, Workday, NetSuite, ServiceNow, or similar HRIS/CRM/ITSM platforms.
- Experience with conversational AI platforms: Google Dialogflow CX, Microsoft Copilot Studio, or equivalent.
- Familiarity with cloud AI/ML services on AWS, GCP, or Azure.
- Background or coursework in product management, systems design, or solutions architecture.
- Comfort with SQL and analytical tooling for evaluating AI system performance.
This role is for the technology enthusiast who is equally energized by a whiteboard architecture session and an afternoon of building. You will have real ownership over meaningful problems, a short path from idea to production, and the support of a world-class engineering organization — all from RingCentral’s Silicon Valley headquarters.
WHAT WE OFFER:
- Comprehensive medical, dental, vision, disability, life insurance
- Health Savings Account (HSA), Flexible Spending Account (FSAs) and Commuter benefits
- Voluntary supplemental health coverage and life insurance
- 401K match and ESPP
- Paid time off and paid sick leave
- Paid parental and pregnancy leave
- Family-forming benefits (IVF, Preservation, Adoption etc.)
- Emergency backup care (Child/Adult/Pets)
- Employee Assistance Program (EAP) with counseling sessions available 24/7
- Free legal services that provide legal advice, document creation and estate planning
- Employee bonus referral program
- Student loan refinancing assistance
- Employee 1:1 coaching, perks and discounts program
RingCentral’s IT team ensures company data is accessible, secure, and optimized in ways that provide maximum competitive advantage. We are constantly discovering, developing, and deploying innovations that power productivity and drive better decisions for our customers. Our IT professionals are talented, ambitious, out-of-the-box thinkers who love to learn on the job—planning, deploying, and maintaining state-of-the-art technology to deliver flawless performance 24/7/365.
RingCentral’s work culture is the backbone of our success. And don’t just take our word for it: we are recognized as a Best Place to Work by Glassdoor, the Top Work Culture by Comparably and hold local BPTW awards in every major location. Bottom line: We are committed to hiring and retaining great people because we know you power our success.
ABOUT RINGCENTRAL
RingCentral, Inc. (NYSE: RNG) is a leading provider of business cloud communications and contact center solutions based on its powerful Message Video Phone™ (MVP™) global platform. More flexible and cost-effective than legacy on-premises PBX and video conferencing systems that it replaces, RingCentral® empowers modern mobile and distributed workforces to communicate, collaborate, and connect via any mode, any device, and any location. RingCentral is headquartered in Belmont, California, and has offices around the world.
RingCentral is an equal opportunity employer that truly values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations for individuals with disabilities during our application and interview process. If you require such accommodations, please click on the following link to learn more about how we can assist you.
If you are hired in Belmont, California, the compensation range for this position is between $127,400 and $182,000 for full-time employees, in addition to eligibility for variable pay, equity, and benefits. Benefits may include, but are not limited to, health and wellness, 401k, ESPP, vacation, parental leave, and more! The salary may vary depending on your location, skills, and experience.
INTRODUCTION
Say hello to opportunities.
It’s not every day that you consider starting a new career. We’re RingCentral, and we’re happy that someone as talented as you is considering this role. First, a little about us, we’re a $2 Billion annual revenue company with double-digit Annual Recurring Revenue (ARR) and a $93 Billion market opportunity in UCaaS, Contact Center, and AI-powered adjacencies. We invest more than $250 million annually to ensure our AI-enabled technology and platforms meet or exceed the needs of our customers.
RingSense AI is our proprietary AI solution. It’s designed to fit the business needs of our customers, orchestrated to be accurate and precise, and built on the same open platform principles we apply to our core software solutions.
RingCentral's Enterprise AI organization is looking for a strong hybrid: someone who can walk into a business meeting, identify the enterprise AI opportunity, architect the solution, and then build it. This is not a traditional product management role. We are hiring an AI Product Engineer — a hands-on technologist with enough product instinct to own the “why,” enough architecture depth to define the “how,” and enough engineering skill to actually build it.
You will sit within our product management team and serve as a force multiplier — partnering with business stakeholders & product managers to uncover AI opportunities, designing end-to-end solutions, prototyping quickly, and driving production delivery alongside engineering. The emphasis is firmly on building and architecting, with product management as your professional home base.
ROLE AND RESPONSIBILITIES
Architect AI Solutions End-to-End
- Join business meetings and workshops to uncover automation and AI opportunities in real time; translate them into concrete solution architectures on the spot.
- Design and recommend solution patterns — RAG pipelines, agentic workflows, MCP integrations, prompt/eval frameworks — choosing the right approach for each use case.
- Own build-vs-buy decisions: evaluate third-party AI tools (Copilot, Gemini, Claude, etc.) against custom in-house builds using structured technical and business criteria.
- Define data flows, integration points, and system contracts across enterprise platforms such as Salesforce, Workday, NetSuite, and cloud AI services (AWS, GCP, Azure).
Build and Ship Hands-On
- Develop working prototypes, proof-of-concepts, and production-grade AI features — not slide decks.
- Implement and iterate on RAG pipelines, LLM orchestrations, agentic workflows, API integrations, and chatbot/copilot experiences.
- Establish telemetry and LLM evaluation frameworks (correctness, faithfulness, latency, cost, token usage) and monitor live systems post-launch.
- Collaborate closely with engineering teams through code reviews, technical workshops, and paired development sessions.
Drive Product Direction
- Partner with business units (Sales, Marketing, HR, Finance, Legal, CX) to identify high-impact use cases, quantify ROI, and define measurable success criteria.
- Maintain the product roadmap for AI initiatives, owning quarterly planning, backlog prioritization, and end-to-end AI-DLC from discovery through launch and iteration.
- Keep a current AI tool landscape and comparison matrix spanning general-purpose copilots and function-specific enterprise apps.
- Use agile rituals and rapid experimentation to learn quickly and keep delivery momentum.
Evangelize and Enable
- Serve as the organization’s resident AI practitioner: educate stakeholders on what’s possible, set realistic expectations, and demystify technical concepts for non-technical audiences.
- Lead AI training sessions, internal demos, and working sessions to accelerate adoption across business functions.
- Monitor and communicate the quantifiable impact of launched AI solutions (time saved, quality, adoption, CSAT).
BASIC QUALIFICATIONS
- 3+ years of hands-on experience building or integrating AI-powered solutions in an enterprise setting (RAG, LLM applications, AI agents, or similar).
- Demonstrated ability to architect solutions from scratch — designing data flows, integration patterns, and system components in live stakeholder settings.
- Proficiency in at least one scripting or development language (Python strongly preferred; familiarity with JavaScript/TypeScript a plus).
- Solid grasp of modern AI/ML concepts: LLMs, embeddings, vector databases, prompt engineering, retrieval-augmented generation, and agent frameworks.
- Experience integrating with enterprise APIs and platforms (REST, GraphQL, OAuth 2.0, webhooks) and familiarity with data stores (PostgreSQL, MongoDB, Redis, or similar).
- Strong communication skills — able to explain technical architecture clearly to executives, and to translate fuzzy business problems into precise technical requirements.
- A track record of shipping: prototypes that became products, pilots that became programs.
PREFERRED QUALIFICATIONS
- Exposure to enterprise systems: Salesforce, Workday, NetSuite, ServiceNow, or similar HRIS/CRM/ITSM platforms.
- Experience with conversational AI platforms: Google Dialogflow CX, Microsoft Copilot Studio, or equivalent.
- Familiarity with cloud AI/ML services on AWS, GCP, or Azure.
- Background or coursework in product management, systems design, or solutions architecture.
- Comfort with SQL and analytical tooling for evaluating AI system performance.
This role is for the technology enthusiast who is equally energized by a whiteboard architecture session and an afternoon of building. You will have real ownership over meaningful problems, a short path from idea to production, and the support of a world-class engineering organization — all from RingCentral’s Silicon Valley headquarters.
WHAT WE OFFER:
- Comprehensive medical, dental, vision, disability, life insurance
- Health Savings Account (HSA), Flexible Spending Account (FSAs) and Commuter benefits
- Voluntary supplemental health coverage and life insurance
- 401K match and ESPP
- Paid time off and paid sick leave
- Paid parental and pregnancy leave
- Family-forming benefits (IVF, Preservation, Adoption etc.)
- Emergency backup care (Child/Adult/Pets)
- Employee Assistance Program (EAP) with counseling sessions available 24/7
- Free legal services that provide legal advice, document creation and estate planning
- Employee bonus referral program
- Student loan refinancing assistance
- Employee 1:1 coaching, perks and discounts program
RingCentral’s IT team ensures company data is accessible, secure, and optimized in ways that provide maximum competitive advantage. We are constantly discovering, developing, and deploying innovations that power productivity and drive better decisions for our customers. Our IT professionals are talented, ambitious, out-of-the-box thinkers who love to learn on the job—planning, deploying, and maintaining state-of-the-art technology to deliver flawless performance 24/7/365.
RingCentral’s work culture is the backbone of our success. And don’t just take our word for it: we are recognized as a Best Place to Work by Glassdoor, the Top Work Culture by Comparably and hold local BPTW awards in every major location. Bottom line: We are committed to hiring and retaining great people because we know you power our success.
ABOUT RINGCENTRAL
RingCentral, Inc. (NYSE: RNG) is a leading provider of business cloud communications and contact center solutions based on its powerful Message Video Phone™ (MVP™) global platform. More flexible and cost-effective than legacy on-premises PBX and video conferencing systems that it replaces, RingCentral® empowers modern mobile and distributed workforces to communicate, collaborate, and connect via any mode, any device, and any location. RingCentral is headquartered in Belmont, California, and has offices around the world.
RingCentral is an equal opportunity employer that truly values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations for individuals with disabilities during our application and interview process. If you require such accommodations, please click on the following link to learn more about how we can assist you.
If you are hired in Belmont, California, the compensation range for this position is between $127,400 and $182,000 for full-time employees, in addition to eligibility for variable pay, equity, and benefits. Benefits may include, but are not limited to, health and wellness, 401k, ESPP, vacation, parental leave, and more! The salary may vary depending on your location, skills, and experience.
AI Product Engineer Job Roles in California
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Search AI Product Engineer Jobs in CaliforniaAI Product Engineer Jobs in California: Frequently Asked Questions
Which companies sponsor visas for AI product engineers in California?
California's largest tech employers, including Google, Apple, Meta, Salesforce, Adobe, and Nvidia, have consistent track records of sponsoring H-1B visas for AI product engineers. Mid-size AI-focused companies such as Anthropic, OpenAI, and Databricks, headquartered in the Bay Area, also sponsor regularly. Sponsorship patterns are publicly searchable through the Department of Labor's OFLC disclosure data, which lists certified Labor Condition Applications by employer and job title.
Which visa types are most common for AI product engineer roles in California?
The H-1B is the most common visa for AI product engineers in California, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, AI, or a related field. Candidates with exceptional recognition in the field sometimes pursue the O-1A. Individuals already holding L-1B status at a multinational with California offices may also transfer into AI product engineering roles without entering the H-1B lottery.
Which cities in California have the most AI product engineer sponsorship jobs?
The San Francisco Bay Area, encompassing San Francisco, San Jose, Mountain View, and Palo Alto, accounts for the largest concentration of AI product engineering sponsorship jobs in California. Los Angeles has grown significantly as a secondary hub, driven by startups and entertainment-tech crossovers. San Diego has a smaller but active cluster tied to defense-tech and biotech AI applications. Remote-first California employers sometimes list jobs without a specific city but still sponsor visas.
How to find ai product engineer visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to search for AI product engineer roles in California without wading through positions that don't sponsor. You can filter by state and role type to surface relevant openings from companies that have an active sponsorship history. This saves significant time compared to manually screening general job listings for sponsorship eligibility.
Are there state-specific considerations for AI product engineers seeking sponsorship in California?
California does not impose additional state-level visa requirements, but it does have one of the highest prevailing wage levels in the country for AI and software roles, which directly affects the wage floor employers must certify on a Labor Condition Application. California's strong university pipeline, including UC Berkeley, Stanford, and UCLA, means employers are experienced with OPT and STEM OPT candidates who later transition to H-1B sponsorship. Competition for roles at top employers is high given the density of qualified applicants in the state.
What is the prevailing wage for sponsored ai product engineer jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.