Enterprise AI Product Engineer

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.

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).

Requirements

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.

Nice to Have

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 $164,000 and $200,000 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.