- Role: Forward Deployed Engineer (Voice & Conversational 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: Product, Engineering, GTM, Onboarding, Customer Success
- Work hours: US hours (6pm IST onwards), frequent US travel
- Studio AI: https://www.youtube.com/watch?v=j0_CsQpCbwg
- Vini AI: https://www.youtube.com/watch?v=WFjhPWp6gJU
- Join sales calls and demos as the technical authority on Vini. Answer dealer questions about call handling, integrations, data, and accuracy that an AE can't
- Run proof-of-concept setups for prospects. Configure a working agent against the dealer's real call scenarios so they hear it before they sign
- Map each prospect's BDC workflows (which calls, which CRM, which DMS, which phone system) and tell Sales what's straightforward and what's hard
- Build the technical knowledge base that lets AEs answer common questions without you, so your time goes to the deals that actually need it.
- Own the technical onboarding once a dealer signs. Connect Vini to their CRM, DMS, and telephony, configure the three call workflows, and set up routing, scripts, and escalation rules for their store
- Get the agent from copilot to autopilot on the dealer's timeline. Tune prompts, intents, and call logic against real calls until the dealer trusts it to run unattended
- Train the dealer's staff and BDC managers on how Vini fits their day, what to expect, and how to read its output
- Cut onboarding time. Find the steps that slow every deployment and turn them into repeatable setup, templates, or product requests
- Become the subject matter expert the Success team brings in when an account has a technical problem they can't solve: a drop in answer rate, a workflow that needs reconfiguring after the dealer changes process, a new integration
- Monitor live deployments. Watch call performance, catch failures before the dealer does, and fix the agent or the config
- Expand accounts. Move dealers from one workflow to three, from one rooftop to a group, by proving Vini works on the calls they were nervous about
- 4+ years as an engineer, solutions engineer, FDE, or implementation engineer, with real time in front of customers. You've shipped code and you've also sat across from a frustrated user and fixed their problem live
- Comfort with APIs, integrations, and reading logs to find why something broke. You don't need to be a senior backend engineer, but you debug without waiting for the eng team
- Product sense. You can look at a pile of customer problems and tell which ones are config, which are training, and which are real product gaps. You write requests engineers want to pick up
- Experience working directly with Product and Engineering teams: filing well-scoped issues, sitting in on prioritization, and pushing for customer-facing fixes without burning the relationship
- Experience with at least one of: voice AI or conversational AI, telephony or contact-center systems, or CRM/DMS integrations
- The judgment to talk to a dealership GM and a Spyne engineer in the same hour and translate between them
- Willingness to work US-overlapping hours and travel to the US often, sometimes for a week or more at a time. Dealers want to see a person on site during go-live
- A bias toward owning the outcome. When a deployment stalls, you don't hand it off. You find out why and you fix it
- You've built or deployed production voice agents and know where they fail: latency, interruption handling, transfers, intent confusion
- You've owned a product feedback loop before: collecting field signal, turning it into specs, and seeing your requests through to shipped features
- You've been the first FDE or early implementation hire somewhere and built the playbook from nothing
Skills Required
- 4+ years as an engineer, solutions engineer, FDE, or implementation engineer with customer-facing experience and shipped code
- Comfort with APIs, integrations, and reading logs to debug production issues
- Product sense to triage config vs training vs product gaps and write actionable requests
- Experience working directly with Product and Engineering teams: filing scoped issues and participating in prioritization
- Experience with at least one of: voice AI/conversational AI, telephony/contact-center systems, or CRM/DMS integrations
- Willingness to work US-overlapping hours and travel frequently to the US (sometimes for a week or more)
- Strong ownership bias: drive deployments to completion and fix stalled rollouts
- Built or deployed production voice agents (latency, interruptions, transfers, intent handling)
- Owned a product feedback loop: collected field signal and turned it into shipped features
- Experience as an early FDE/implementation hire building playbooks from scratch
What We Do
One of the biggest pain points for any online seller is to showcase their products in the best possible manner to grab customer attention and increase conversions. Spyne is transforming the way businesses create their catalog using state-of-the-art AI technology. No studio. No photography skills. No complex processes. Just Spyne to create stunning catalogs that drive 40% better conversions. We are building first-of-its-kind AI that would transform the way businesses will create high-impact catalogs without the need for a physical studio. We are building computer vision and AI technology to automate image processing workflows. This will help any business or marketplace shoot, edit, and publish product visuals at scale, at a fraction of the cost, and time. We are helping large e-commerce marketplaces in the automotive, food, fashion, real estate, and retail industry create and upgrade high-quality visual catalogs at scale. Founded in 2018, Spyne is headquartered in Gurugram, India serving 80+ customers across 15+ countries including Amazon India, Karvi, OLACars, and The Luxury Closet Dubai. We are backed by Accel Partners, Storm Ventures, and other marquee investors.








