Senior Product Manager (Conversational AI)

About Spyne Spyne is building the AI operating system for automotive retail. Starting with visual merchandising and expanding into conversational AI, Spyne helps dealers move inventory faster, respond to buyers instantly, and run more of the dealership stack with AI. Founded by operators from Amazon, Cox, and OYO, Spyne has grown 30x in under three years and now powers 1,500+ dealerships across the US. Its products, Studio AI and Vini AI, are coming together into a full-stack Retail AI platform for modern dealerships. Backed by Accel, Vertex Ventures, and Storm Ventures, Spyne is emerging as one of the category leaders redefining how dealerships operate in the AI era. Studio AI: https://www.youtube.com/watch?v=j0_CsQpCbwg Vini AI: https://www.youtube.com/watch?v=WFjhPWp6gJU The role You will lead the core of Conversational & Voice AI platform, Vini which handles inbound and outbound calls for dealer BDCs across multiple dealer workflows. Sales: lead follow-up, qualification, and appointment setting. Service: service appointment booking, recall outreach, status updates. Acquisition: outbound to source trade-in inventory from past customers. Finance: financing, lease, emi, credits across inventory, customer, and dealer. The agent does the work a human BDC rep does. On the phone. In real time. With DMS, IMS, and CRM context. Our product goal is to make the human BDC seat redundant. What you’ll own The Vini product roadmap across Sales, Service, and Acquisition. You decide what we build, in what order, and why. Agent design. The prompt stack, tool and function design, conversation flow, escalation logic, guardrails, voice persona. You own how the agent behaves and how we make it better. Evals. Multi-turn conversation quality, function calling accuracy, interruption handling, turn taking, ASR error recovery, hallucination rate, task completion. You define the metrics, build the test sets, and run regression on every release. The latency budget. TTFT, endpointing, tool call latency, end-to-end response time. You own perceived response time. Model and vendor choices. ASR (Deepgram, AssemblyAI, in-house), TTS (ElevenLabs, Cartesia, others), LLM provider mix per use case. You make the calls based on cost, latency, and quality data. Customer deployment quality. You sit with deployment engineers and Customer Success on the hardest 20 accounts. You listen to call recordings. You find the failure modes before customers do. The dealer-facing configuration surface. The UI that lets a non-technical dealer onboard, edit prompts, change business hours, and read transcripts. DMS and IMS integrations roadmap that unlocks the agent's capability ceiling: CDK, Reynolds & Reynolds, Tekion, vAuto, and the rest. What we expect 5+ years in product management. At least 2 of those years on a voice or conversational AI product that real customers used at real volume. Demos and internal tools do not count. You have personally owned a production…