- Studio AI (Visual Agents): turns a smartphone capture into a complete, publish-ready listing, so cars reach the website faster.
- Vini AI (Conversational Agents): answers every call, chat and text across sales and service, and writes outcomes back into the dealer's DMS and CRM. We’re building a family of agents for recall, receptionist, reputation, acquisition, sales and service, built for dealers to try and turn on themselves.
- AI Contact Service: Vini at the core with a human BDC team around it, delivering the outcomes dealers expect from an in-house BDC.
- DealerOS: the layer that brings it all together. It sits above the dealer's existing software (DMS, CRM, inventory, website, service) and runs agents across the vehicle journey, from sourcing to sale to service.
- Lead structured discovery with dealer principals, GMs, used-car managers, BDC and internet managers, marketing heads and dealer-group IT.
- Map the current vehicle lifecycle: acquisition, recon, photography, listing, lead response, appointment, sale, service.
- Quantify pain in dealer terms: time-to-line (days from acquisition to live listing), photo turnaround, lead response time, missed after-hours leads, appointment show rate, cost per sold unit, aged inventory.
- Document the current stack: DMS (CDK, Reynolds & Reynolds, Dealertrack, Tekion), CRM (VinSolutions, DealerSocket, Elead), website provider, inventory feeds and marketplaces (Cars.com, AutoTrader, CarGurus, Facebook).
- Qualify technical fit and flag disqualifiers early; agree a written mutual success plan with the AE.
- Build tailored demos using the prospect's own VINs, inventory photos and lead scenarios.
- Demo Studio AI and Vini AI together as one inventory-to-sale story, adjusted for franchise vs independent, single store vs group.
- Run live, role-specific sessions for executives (ROI), operators (daily workflow) and IT (integration, security, data flow).
- Handle objections on accuracy, brand consistency, AI conversation quality, compliance (TCPA, consent) and switching cost.
- Scope rooftops, modules, volumes (vehicles per month, lead volume), integrations, data feeds and custom requirements.
- Design and run pilots / proofs of concept with written success criteria, owners and a fixed end date.
- Size implementation effort and timelines with Onboarding; validate any non-standard ask with Product and Engineering before it is promised.
- Build the business case and ROI model with the AE for the economic buyer.
- Author the solution design for every deal above the enterprise threshold: business objectives, current vs future-state workflow, modules and configuration, integration architecture, data flows, assumptions, out-of-scope items, risks and success metrics.
- Own technical sections of RFPs, security questionnaires and order-form exhibits.
- Get sign-off from the customer's operational and technical owners before contract.
- Run a formal internal handover: solution document, success criteria, stakeholder map, integration checklist, open risks and commitments made in the sale.
- Join the customer kickoff to introduce Onboarding and restate scope and success metrics.
- Stay on point for technical escalations through go-live; review first 30-day adoption against the scoped success criteria.
- Act as technical lead on the top 10–15 opportunities each quarter: dealer groups, OEM and distributor programmes, marketplace and platform partnerships.
- Build account-level solution strategy and multi-year expansion paths (rooftop rollout, module cross-sell).
- Engage C-level and dealer-principal audiences as a credible automotive retail advisor, not a product presenter.
- Lead competitive positioning against merchandising, conversational AI, website and CRM vendors; maintain win/loss insight.
- Own the demo environment, demo scripts and reusable demo data sets.
- Create and maintain discovery frameworks, solution document templates, ROI calculators, reference architectures and the security/RFP answer library.
- Define the pilot playbook: entry criteria, success metrics, timeline and conversion path.
- Coach AEs and junior SEs on discovery, demo craft and technical objection handling; run deal reviews and demo certifications.
- Onboard new revenue hires on product, integrations and the dealer workflow.
- Help hire and build out the SE function as Spyne scales in the US.
- Feed structured field insight into Product: feature gaps, integration requests, deal-blocking issues, with revenue attached.
- Partner with Product Marketing on launches, positioning and sales collateral.
- Represent Spyne at industry events (e.g. NADA, Digital Dealer) and on customer advisory sessions.
- Provide a technical-win view on every committed deal in the forecast.
- Track presales capacity, deal coverage and pilot outcomes; report to the CRO.
- Protect margin and delivery: no unscoped commitments, no custom work without sign-off.
- Technical win rate: Share of SE-engaged opportunities where Spyne is the technical choice
- SE-influenced ARR: New and expansion ARR on deals with SE ownership
- Pilot-to-paid conversion: Pilots that convert to contract within the agreed window
- Sales cycle length: Days from discovery to signature on enterprise deals
- Solution document coverage: Share of enterprise deals signed with an approved solution document
- Handover quality: Onboarding sign-off on handover; scope changes or escalations in the first 60 days
- Time-to-value: Days from signature to go-live against the scoped plan
- Enablement output: Assets shipped, AEs certified on demo and discovery
- 30 days: learn the product, dealer workflow and integration stack; shadow live deals; audit current demo, discovery and handover practice.
- 60 days: own technical lead on active enterprise deals; ship the discovery framework, solution document template and handover checklist.
- 90 days: run the full deal cycle independently; launch the pilot playbook and demo environment; first AE enablement cohort complete.
- 8-10+ years in B2B SaaS, with 6+ years in presales / solution engineering, including enterprise and multi-stakeholder deals.
- Track record as technical lead on six-figure ARR deals with US customers.
- Hands-on mastery of discovery, value-based demos, pilot design and solution documentation.
- Strong grasp of integrations: APIs, webhooks, data feeds, SSO, and how SaaS fits into a customer's existing stack.
- Executive presence: can run a room of dealer principals, operators and IT in the same meeting.
- Excellent written English — solution documents and RFP responses that a buyer can sign off on as written.
- Comfortable working US hours overlap and travelling to the US.
- SAAS selling experience in global markets specially US market.
- Experience selling AI products — conversational AI, computer vision or generative AI — and explaining accuracy, guardrails and compliance.
- Has worked in a startup enviornment.
- Familiarity with automotive compliance and consent (TCPA, CAN-SPAM) and security reviews (SOC 2).
- Understanding of Integrations, landscape, API's.
- Customer outcome first; says no to the wrong scope.
- Writes things down; leaves every deal better documented than found.
- Moves fast in a scaling company and builds process only where it removes friction.
- A principal-level seat shaping how Spyne sells to the largest US dealer groups and OEMs.
- Direct line to the Head of Sales, and close partnership with Onboarding, Product and Engineering.
- Competitive fixed pay plus a variable component tied to technical-win and ARR targets.
- Room to build and lead the Solutions Engineering function as it grows.
Skills Required
- 8–10+ years of experience in B2B SaaS
- 6+ years of experience in presales or solution engineering
- Experience with enterprise and multi-stakeholder deals
- Track record as technical lead on six-figure ARR deals with US customers
- Hands-on mastery of discovery, value-based demos, pilot design, and solution documentation
- Strong understanding of integrations, including APIs, webhooks, data feeds, and SSO
- Ability to understand how SaaS fits into a customer's existing technology stack
- Executive presence with dealer principals, operators, and IT stakeholders
- Excellent written English for solution documents and RFP responses
- Ability to work US business hours with Eastern/Central overlap
- Willingness and ability to travel to the US
- SaaS selling experience in global markets, especially the US market
- Experience selling AI products such as conversational AI, computer vision, or generative AI
- Startup experience
- Familiarity with automotive compliance and consent requirements, including TCPA and CAN-SPAM
- Familiarity with security reviews and SOC 2
- Understanding of integration landscapes and APIs
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.





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