RingCentral

AIProductEngineer

$0–0k Belmont, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“AI Product Engineer at RingCentral. Skills: AI Product Engineering, Solution Architecture, AI Development. Architect AI solutions end-to-end. Join business meetings”

What You'll Achieve.

Drive production delivery; Accelerate adoption; Monitor quantifiable impact

Industry & Context.

Problems you'll solve

Identify AI opportunities; Architect solutions; Build AI solutions

What They're Looking For.

Must Have

3+ years experience building AI solutions, Architect solutions from scratch, Proficiency in Python, Solid grasp of AI/ML concepts, Experience integrating enterprise APIs, Strong communication skills, Track record of shipping prototypes

Nice to Have

Exposure to enterprise systems, Experience with conversational AI platforms, Familiarity with cloud AI/ML services, Background in product management, Comfort with SQL

What You'll Do.

Architect AI solutions end-to-end

Join business meetings

Uncover automation opportunities

Design solution patterns

Recommend solution patterns

Evaluate third-party AI tools

Define integration points

Define system contracts

Develop working prototypes

Build proof-of-concepts

Develop production-grade AI features

Implement RAG pipelines

Iterate on RAG pipelines

Implement LLM orchestrations

Iterate on LLM orchestrations

Implement agentic workflows

Iterate on agentic workflows

Implement API integrations

Iterate on API integrations

Implement chatbot experiences

Iterate on chatbot experiences

Implement copilot experiences

Iterate on copilot experiences

Establish telemetry frameworks

Establish LLM evaluation frameworks

Partner with business units

Identify high-impact use cases

Define success criteria

Maintain product roadmap

Own quarterly planning

Keep AI tool landscape

Use rapid experimentation

Set realistic expectations

Demystify technical concepts

Lead AI training sessions

Conduct internal demos

Lead working sessions

How You'll Work.

Team & Collaboration

Business stakeholders; Product managers; Engineering teams; Business units; Cross-functional teams

Communication Scope

Explain technical architecture; Translate business problems

Process & Methodology

Roadmap planning, Quarterly planning, Backlog prioritization, Agile rituals, Rapid experimentation

Full Job Description

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. **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:

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