--- title: 'Director, Engineering at Tekion' canonical: 'https://feeny.ai/job/director-engineering-tekion-chennai-19s6cgxgnvzg' type: 'job' last_seen: '2026-10-25' --- # Director, Engineering at Tekion - **Company:** Tekion - **Location:** Chennai, India - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-10-23 - **Last confirmed live:** 2026-10-25 - **Apply:** https://jobs.ashbyhq.com/tekion/cd4d9c70-5d4b-468b-a4d8-83bd7e023833 ## Job description About Tekion: Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe. ## Role Overview We are seeking an Engineering Director to lead the Chennai engineering organization for 2 scrum teams, shared platform resources (Architect, ML Engineer, SDET), and a team of ~20 engineers across backend, frontend, AI, and QA disciplines. You will own delivery accountability, team health, technical quality, and the cross-team coordination that keeps two scrum teams moving in the same direction. You will be the primary technical counterpart to the US-based Product leadership, the direct interface to platform teams, and the person who sets the engineering culture for the entire team. ## Key Responsibilities - Lead the full Chennai engineering organization (~20 engineers): two Scrum teams, two Engineering Managers, Staff/Senior engineers, Applied ML, and Staff SDET. - Own delivery accountability: sprint cadence, cross-team dependency management, risk tracking, and executive reporting on engineering progress. - Set and enforce technical standards: hexagonal architecture discipline, AI-native integration patterns, code quality gates, and observability standards across both teams. - Act as the primary technical counterpart to US-based Product leadership — translate business requirements into engineering execution plans, surface trade-offs early, and maintain shared understanding of what is being built and why. - Own the cross-team coordination interface to platform teams (Agentic Engine, Core Platform, ARC backend, Design) — ensuring product dependencies are tracked, escalated, and resolved on schedule. - Hire, develop, and retain top engineering talent: own the full hiring pipeline, define career ladders, conduct performance reviews, and make compensation decisions. - Drive the technical roadmap for Phase 2 in partnership with the ML Architect, Applied Scientist, and Product leadership — shaping the next wave of AI capabilities. - Maintain technical depth: actively participate in architecture reviews, challenge design decisions, and unblock engineers on complex distributed systems and AI integration challenges. - Build and sustain a high-trust, high-accountability engineering culture where engineers feel ownership, psychological safety, and pride in their craft. ## Skills & Qualifications - 12+ years of software engineering experience with 5+ years of engineering leadership — managing managers and leading teams of 15+ engineers. - Deep technical background in Java backend systems, distributed microservices, and event-driven architecture — able to engage credibly in architecture reviews and design decisions. - Proven track record building and operating SaaS platforms on AWS with multi-database stacks (MongoDB, PostgreSQL, Kafka, Elasticsearch, Redis/Aerospike). - Demonstrated experience with hexagonal architecture at scale — enforcing domain isolation as teams and services grow. - Strong cross-functional leadership: experience working closely with Product Management, Design, and executive stakeholders across geographies (US-India distributed teams). - Track record of recruiting and developing senior engineering talent — building teams from the ground up in competitive markets. - Experience delivering in fast-paced, high-ambiguity environments with evolving platform dependencies and shifting priorities. Good to Have - Experience leading engineering teams building AI-native products (LLM integration, agentic systems, scoring pipelines, MCP tool design). - Background in martech, customer data platforms, or dealer/automotive technology. - Prior experience managing both backend and frontend engineering disciplines within the same org. Exposure Temporal for durable workflow orchestration at the team level. ## Perks & Benefits - Competitive compensation and generous stock options. - Medical insurance coverage. - Work with some of the brightest minds from Silicon Valley's most dominant and successful companies. Current Tekion Employees: Please apply via the Internal Job Board in Ashby Note: Tekion recently transitioned to a new recruiting tool and we appreciate your patience and feedback as we adjust to our new system! Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics. For more information on our privacy practices, please refer to our Applicant Privacy Notice [here](https://tekion.com/legal/privacy/applicant-and-candidate-privacy-notice). ## About Tekion ## Company Overview - **One-liner**: Tekion provides an end-to-end, AI-native platform that unifies dealerships, OEMs, and partners for modern automotive retail. - **Entity Type**: Private (growth stage; $200M growth equity raise in 2024 at a $4B+ valuation) - **Headquarters**: Pleasanton, California, USA - **Founded**: 2016 - **Founders**: Jay Vijayan (CEO) and Guru Sankararaman (COO) ## Core Business - **Primary industries**: Automotive retail technology, cloud-based dealership management, vertical AI. - **Target customers**: B2B – automotive dealerships (retail groups and independents) and original equipment manufacturers (OEMs). - **Mission**: To create a connected, convenient, and consistent consumer experience by unifying dealers, OEMs, and partners on a single AI-native platform. ## Products & Services - **[Automotive Retail Cloud (ARC)](https://www.tekion.com/)**: AI-native operating system for dealerships covering sales, service, parts, accounting, and analytics. SaaS. - **[Automotive Partner Cloud (APC)](https://www.tekion.com/)**: Next-gen platform for OEMs and partners to integrate and collaborate with the dealer ecosystem. SaaS. - **[Tekion AI Agents](https://www.tekion.com/)**: Role-aware AI tools including Service Scheduler AI (automates booking), Technician AI (surfaces repairs), and Service Advisor AI (turns notes into customer-facing recommendations). Embedded in the platform. ## Market Standing - **Valuation**: $4B+ (as of the 2024 growth equity round) [[tekion.com/about-us](https://www.tekion.com/about-us)] - **Key Metric**: 3,000+ dealerships powered by Tekion; 235M+ annual transactions processed. - **Notable Investors/Partners**: The specific lead investor for the $200M round is not publicly named in available materials. Key partners include General Motors (OEM), Ken Garff Automotive Group, and a Fortune 500 dealer group (largest in the country). [[tekion.com/about-us](https://www.tekion.com/about-us)] - **Growth Signals**: Secured $200M in growth equity in 2024; crossed 1,100 ARC dealers in 2024; launched Service AI in 2025; earned recognition from Goldman Sachs Builders & Innovators (2022–2025), Forbes Cloud 100 (2023), and Fast Company Best Workplace for Innovators (2025). ## Competitive Advantages - **AI-native, unified platform**: Unlike legacy point solutions, Tekion is built on a single data foundation, enabling real-time context across sales, service, accounting, and analytics. - **Vertical AI specialty**: Purpose-built for automotive with ISO 42001 certification (responsible AI) and trained on dealership/OEM data. - **High adoption & trust**: Customer approval rate for AI recommendations is 95%, and dealers report additional revenue generated from AI in 2025. - **OEM certifications**: Certified with all major OEMs. ## Strategic Focus - Expanding agentic AI capabilities (Service AI launched 2025) to further automate dealership workflows. - Deepening enterprise partnerships with large dealer groups and OEMs globally. - Continuing to scale the platform to more dealers and markets worldwide. ## Why Work Here - **Culture**: Recognized as a Great Place To Work® (2026–2027) and Fast Company Best Workplace for Innovators (2025). Values include "One Team," collaboration, and continuous learning. [[tekion.com/careers](https://tekion.com/careers)] - **Work flexibility**: Primarily in-person culture at Pleasanton HQ, but some fully remote positions exist in US, Canada, and EMEA. India offices (Bangalore, Chennai) are onsite with flex days. Roles are marked as remote/hybrid/onsite in job listings. - **Perks**: 100% employer-paid medical/dental/vision, unlimited PTO (varies by role), stock options, flexible time off, wellness programs, recognition culture. - **Growth & learning**: Tek-Learn program with Udemy, Frontend Masters, skill workshops, AMAs, and fireside chats. - **Engineering culture**: AI-native, startup environment focused on disrupting automotive retail; described as "Silicon Valley Startup Environment" with a global team. ## Sources 1. [tekion.com](https://www.tekion.com/) – Product overview, platform details, metrics 2. [tekion.com/about-us](https://www.tekion.com/about-us) – Company history, leadership, funding, awards, partnerships 3. [tekion.com/careers](https://tekion.com/careers) – Culture, benefits, work policy, values 4. [linkedin.com/company/tekion](https://www.linkedin.com/company/tekion) – Entity summary and recent updates 5. [tekion.com/job-openings](https://tekion.com/job-openings) – Current job listings (via careers page) ## Other roles at Tekion - [Director, Inside Sales](https://feeny.ai/job/director-inside-sales-tekion-cincinnati-e4tvshzqxrx6) — Cincinnati, OH - [Inside Sales Representative II](https://feeny.ai/job/inside-sales-representative-ii-tekion-united-states-9ws70bwws97d) — United States - [Customer Support Engineer I (CRM)](https://feeny.ai/job/customer-support-engineer-i-crm-tekion-cincinnati-0x5fgf537ys4) — Cincinnati, OH - [Account Development Representative I](https://feeny.ai/job/account-development-representative-i-tekion-united-states-gx42xa5yzapk) — United States - [Account Development Representative I](https://feeny.ai/job/account-development-representative-i-tekion-united-states-snsm4kd0zpww) — United States - [Director, Applied Science](https://feeny.ai/job/director-applied-science-tekion-bengaluru-y1qf168mkyts) — Bengaluru, India - [Senior Software Engineer - Data Engineer](https://feeny.ai/job/senior-software-engineer-data-engineer-tekion-bengaluru-mqypt75mb8d7) — Bengaluru, India - [Database Engineer II](https://feeny.ai/job/database-engineer-ii-tekion-chennai-psa8tbwhqt2m) — Chennai, India - [Automotive Emerging Product Enablement Lead](https://feeny.ai/job/automotive-emerging-product-enablement-lead-tekion-united-states-kb9fa43yqx8a) — United States - [Senior DevOps, DBA engineer](https://feeny.ai/job/senior-devops-dba-engineer-tekion-chennai-eyrgbytydx62) — Chennai, India