Enterprise AI Product Engineer

Say hello to opportunities.

It’s not everyday that you consider starting a new career. We’re Ring Central, 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.

Ring Sense 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.

• 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, Net Suite, and cloud AI services (AWS, GCP, Azure).

• 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.

• 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.

• 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).

• 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/Type Script 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.

• Exposure to enterprise systems:
  Salesforce, Workday, Net Suite, Service Now, or similar HRIS/CRM/ITSM platforms.
• Experience with conversational AI platforms:
  Google Dialogflow…