- Studio AI: https://www.youtube.com/watch?v=j0_CsQpCbwg
- Vini AI: https://www.youtube.com/watch?v=WFjhPWp6gJU
- A tiered FDE service model: which dealer requests are standard config, which require custom logic, and which need product-level input — with clear escalation paths for each.
- A configuration QA process: every custom workflow gets tested against real conversation scenarios before going live with a dealer.
- An AI quality review programme — FDEs regularly audit live conversations for tone, accuracy, escalation behaviour, and brand compliance.
- A configuration knowledge base: documented patterns, reusable templates, and common customisation recipes that reduce per-dealer effort over time.
- A technical discovery framework used at the start of every complex dealer engagement to surface requirements, constraints, and risks early.
- Build and lead the FDE team from the ground up: hire engineers who have the rare mix of technical depth and customer-facing judgment that this role demands.
- Define what great looks like for an FDE at Spyne - the deployment standards, quality thresholds, and customer interaction expectations - and hold the team to them.
- Write the FDE playbook: onboarding process, configuration templates, escalation protocols, and the tribal knowledge that currently lives in individual heads.
- Run weekly deployment reviews. Know the status of every live dealer in the team's portfolio - what's working, what's stalling, and where you need to step in.
- Develop FDEs from reactive troubleshooters into engineers who anticipate failure, improve product, and grow accounts without being asked.
- Own the most complex dealer accounts yourself: enterprise groups, multi-rooftop deployments, integrations with non-standard DMS or telephony stacks, and accounts where a previous deployment has failed.
- Join strategic sales calls and demos as the technical authority for Vini - the person who answers the questions an AE cannot and who makes a sceptical GM trust the product before they sign.
- Personally lead go-lives for high-stakes accounts. When a dealer insists on a person on-site, you are that person.
- Handle critical escalations: a live deployment that breaks, a conversation quality collapse, an integration that stops syncing. You diagnose, fix, and debrief.
- Own the formal channel between field reality and Product. Every pattern your team sees across deployments - config gaps, recurring failures, features dealers keep requesting - gets translated into well-scoped engineering input.
- Sit in product prioritisation and push for fixes that unblock deployment or improve conversation quality. You are not a passive reporter - you advocate for your dealers.
- Define and track the metrics that prove Vini is working: time-to-autopilot, answer rate, booking conversion, conversation quality scores. Use them to drive product decisions, not just report them.
- Build the internal knowledge base that lets the team share what they learn - prompt patterns that work, integration quirks by DMS vendors, dealer-type-specific configuration approaches.
- Set the QA standard for every deployment: no dealer goes to autopilot without passing the call quality review your team defines.
- Monitor live deployments proactively. Catch performance drops before the dealer does.
- Expand accounts - move dealers from one workflow to three, from one rooftop to a group - by proving Vini handles the calls they were nervous about.
- 6+ years as an FDE, solutions engineer, implementation engineer, or technical account manager - with meaningful time in front of customers. You have shipped technical deployments and sat across from a frustrated customer and fixed their problem live.
- You have led or mentored a small technical team - and you know the difference between being the best individual contributor in the room and being the person who makes everyone around them better.
- Deep comfort with voice AI or conversational AI specifically: prompt engineering, intent design, call flow logic, latency and interruption handling, transfer behaviour. You know where these systems fail and why.
- Fluency with APIs, CRM/DMS integrations, telephony systems, and log-reading. You debug without waiting for the engineering team and you file issues engineers want to pick up.
- Product sense sharp enough to look at a week of dealer complaints and separate config problems from training problems from real product gaps - and write the latter up in a way that gets prioritised.
- The range to talk to a dealership GM and a Spyne backend engineer in the same hour and be trusted by both.
- Willingness to work US-overlapping hours and travel to the US regularly - sometimes for a week at a time during a go-live or a critical dealer escalation.
- A bias toward outcome ownership. When a deployment stalls under your team, you do not reassign it. You find out why and you fix it.
- Hands-on prompt engineering experience with LLMs (GPT-4, Claude, Gemini, or similar).
- Automotive, dealer tech, or field service background.
- Experience with agentic AI workflows — tool use, multi-step reasoning, handoffs.
- Familiarity with conversation analytics and quality scoring methodologies.
- Ownership A new business to build from scratch - not a department to manage. Yours to define, prove, and scale.
- Autonomy Full freedom to operate like a founder, backed by Spyne’s platform, customers, and capital.
- Equity Meaningful equity reflecting a founding business leader role, structured for long-term wealth creation.
- Trajectory Clear path from EIR to Business Head with full P&L ownership as the business scales.
Skills Required
- 6+ years of experience as a forward deployed engineer, solutions engineer, implementation engineer, or technical account manager
- Meaningful customer-facing experience shipping technical deployments and resolving customer issues live
- Experience leading or mentoring a small technical team
- Deep expertise in voice AI or conversational AI, including prompt engineering, intent design, call flow logic, latency, interruption handling, and transfer behavior
- Fluency with APIs, CRM or DMS integrations, telephony systems, and log reading
- Ability to distinguish configuration issues, training issues, and product gaps and communicate actionable engineering requirements
- Ability to work effectively with dealership executives and backend engineers
- Willingness to work US-overlapping hours from 6pm IST to 3am IST
- Willingness to travel regularly to the United States, including week-long trips for go-lives or critical escalations
- Hands-on prompt engineering experience with LLMs such as GPT-4, Claude, or Gemini
- Automotive, dealer technology, or field service experience
- Experience with agentic AI workflows, tool use, multi-step reasoning, or handoffs
- Familiarity with conversation analytics and quality scoring methodologies
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.







