AI Product Engineer Jobs in California
AI Product Engineer jobs in California are among the most active in the country, concentrated in tech, fintech, enterprise software, and consumer AI across a seniority range from junior associate to principal engineer. The largest hiring metros are San Francisco, Los Angeles, and San Diego, where companies like Google, Apple, and Salesforce maintain major engineering operations and consistently recruit for this role. In-demand specializations include LLM-based product development, AI infrastructure tooling, and cross-functional product management with ML systems expertise. Find a role that fits below and apply directly.
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INTRODUCTION
Say hello to opportunities.
It’s not everyday 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.
See All 981+ AI Product Engineer Jobs in California
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Find AI Product Engineer JobsAI Product Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
AI Product Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Apple63

- NVIDIA53

- Google51

- Adobe33

- Amazon21

Top Industries Hiring
- Technology & Software515
- Electronics & Hardware123
- Science & Research48
- Banking & Financial Services46
- Consulting & Professional Services45
What California Employers Look For
The qualifications that appear most often in AI product engineer jobs across California.
- Bachelor's or master's degree in computer science, AI, or a related engineering field
- Demonstrated experience building and shipping AI or ML-powered product features
- Proficiency with Python and machine learning frameworks such as PyTorch or TensorFlow
- Experience working cross-functionally with data science, design, and engineering teams
- Familiarity with LLM APIs, prompt engineering, or retrieval-augmented generation pipelines
- Strong product sense with the ability to translate user needs into AI-driven solutions
AI Product Engineer Jobs in California: Frequently Asked Questions
How do you become a ai product engineer in California?
Most ai product engineers in California start with a bachelor's or master's degree in computer science, artificial intelligence, or software engineering, as no state-issued license is required for this role. California employers, especially in the Bay Area and Los Angeles tech corridors, typically expect hands-on ML or product experience alongside a degree. Building a portfolio of AI-driven product work, contributing to open-source projects, or completing graduate programs at UC Berkeley, UCLA, or Stanford strengthens a candidate's profile considerably.
Which companies hire ai product engineers in California?
Employers hiring ai product engineers in California right now include Apple, NVIDIA, and Google, based on current listings on Migrate Mate as of June 2026. California's concentration of AI-native companies and large tech headquarters means demand is spread across both early-stage startups in the Bay Area and established enterprise organizations in Los Angeles and San Diego.
Which California cities have the most ai product engineer jobs?
San Francisco, San Jose, and Santa Clara have the most ai product engineer openings in California, reflecting the state's geography of tech employment. San Francisco and the broader Bay Area lead because of the density of AI-focused companies and major tech headquarters there, while Los Angeles has grown into a significant hub driven by its consumer tech, media-tech, and fintech sectors, and San Diego draws demand from its biotech and defense-adjacent software companies.
Are there remote ai product engineer jobs in California?
Yes, and more than most fields. About 28% of ai product engineer openings tied to California are remote or hybrid as of June 2026, reflecting how well this role translates to distributed work environments. Product and engineering collaboration tasks, including design sprints, code reviews, and model evaluation, are well suited to remote settings, though roles requiring close integration with on-site infrastructure or hardware teams tend to stay in-person.
How can I get hired as a ai product engineer in California with little or no experience?
The most realistic entry path is moving from an adjacent role, such as software engineer, data analyst, or technical product manager, into AI product work by demonstrating applied ML skills through side projects or internal initiatives. Large California employers including Google, Meta, and Salesforce run new-grad programs and associate product manager rotations that explicitly recruit candidates without prior AI product experience. Building a public portfolio using open-source LLM tools and contributing to AI product communities active in the Bay Area accelerates candidacy considerably.
Where can I find and apply to ai product engineer jobs in California?
You can find and apply to ai product engineer jobs in California on Migrate Mate, which lists current openings tied to California employers. Search the available roles, find the ones that match your experience and preferences, and apply directly to the ones that fit.
See All 981+ AI Product Engineer Jobs in California
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Find AI Product Engineer Jobs