Senior Product Manager - Agentic AI

Sr Product Manager (Agentic AI)

Scale Voice & Conversational AI product suite across 0-1, 1-0, 10-100 journeys.

Department: Product Management.

Reports To: Head of Product.

Location: Gurugram.

Great, if you have a US travel Visa.

Team Stage: Series B.

Key Partners: Engineering, GTM, Onboarding, Customer Success.

About Spyne:

eSpyne 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. 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.

The Role:

You will lead the Conversational & Voice AI product across one of the Dealer functions:

- 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.

What youll own:

- 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: The latency budget, model and vendor choices, customer deployment quality, the dealer-facing configuration surface.

- 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 metric on a conversational agent: containment, resolution rate, AHT, CSAT, transfer rate, or task completion.

- You can explain in 5 minutes how you moved it and what you tried that did not work.

- You have built evals for non-deterministic systems: Golden sets, simulation harnesses, LLM-as-judge with human-graded calibration, regression suites that run on every prompt change.

- You have made architecture calls on STT, LLM, and TTS pipelines. You know what TTFT, endpointing latency, and barge-in mean and you have tuned them. You know why function calls stack latency and what to do about it.

- You have shipped agentic systems with tools and integrations.

- You write your own SQL or use a notebook. You do not file tickets to the data team to check call outcomes.

- You have run customer deployments yourself. You have been the PM on a call with an angry customer at 9pm on a Friday. You know what edge cases look like in production.

- You write clearly. Short PRDs. Specific success criteria. No fluff.

Bonus:

- Contact center, BDC, or call ops background.

- Auto retail context: dealerships, DMS, F&I, fixed ops, used car operations. If you have not worked in auto, you will learn it inside 60 days.

- CS or engineering degree, or you have shipped code in the last 2 years.

- 0 to 1 experience. You founded something, or you were the first PM at a startup.

- Bilingual or multilingual product experience (Spanish, French Canadian).