Why This Role Matters 

This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.  

What Makes This Opportunity Unique 

This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue.  You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models . 

Responsibilities 

• Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking. 

• Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics). 

• Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction. 

• Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning. 

• Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval. 

• Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows. 

• Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging. 

• Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance. 

• Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems. 

• Evolve the domain graph and entity resolution; build reliable data ingestion pipelines. 

• Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage. 

• Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost. 

• Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity. 

• Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls. 

• Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed. 

• Provide templates/CLIs, sandboxes, and docs so product teams can build and ship fast; mentor engineers and champion MLOps and AI safety best practices. 

Desired Skills & Experience 

• 12–15+ years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems). 

• Production experience with Python plus one of Java/Scala/Go; microservices and API design. 

• MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka). 

• Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS. 

• Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows. 

• Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting. 

• Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry. 

• Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns. 

Preferred Mindset 

• Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs. 

• Thinks in systems - observability, fallback, access control are core, not afterthoughts. 

• Passionate about AI - enjoys enabling real-world LLM and agentic use cases. 

• Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation. 

• Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience. 

• Documentation and teaching: you make complex systems understandable; you uplevel teams. 

Role Overview
We are seeking a Staff Frontend Engineer to be the technical anchor for our frontend capability. This role goes beyond feature delivery — you will define the frontend architecture, establish the component design system, own the Next.js application structure, drive performance standards, and mentor Senior and mid-level frontend engineers. You will build the most complex, data-intensive UI surfaces: real-time attribution dashboards, AI powered campaign builders, and platform-embedded intelligence widgets — all in React + Next.js stack integrated with Elasticsearch-powered search and streaming AI responses.  

Key Responsibilities
• Own and evolve the frontend architecture: Next.js App Router structure, component boundaries, state management strategy (Redux), and data-fetching patterns — applying hexagonal UI principles where the component layer is decoupled from specific backend service contracts.

• Design and build the most technically complex UI surfaces: real-time attribution dashboards (streaming data), AI-powered campaign builder (LLM response streaming), Elasticsearch-backed customer search with faceted filtering, and platform-embedded opportunity cards.

• Define the component design system: atomic component library, theming contracts, accessibility standards (WCAG 2.1), and Storybook-based documentation.

• Establish frontend performance standards: Core Web Vitals targets, bundle size budgets, SSR/SSG strategy with Next.js, lazy loading, and virtualization for large data tables.

• Lead Next.js architecture decisions: App Router vs. Pages Router tradeoffs, RSC (React Server Components) applicability, streaming SSR for AI-generated content, and API route design.

• Integrate AI-native frontend patterns: streaming LLM responses into UI components, real-time score updates from Redis/Aerospike via SSE, and Elasticsearch typeahead search. 

• Drive code quality through design reviews, code reviews, pair programming, and frontend-specific engineering standards.

• Mentor Senior and mid-level frontend engineers — setting the bar for component design, test coverage, and performance discipline.

• Collaborate closely with backend Staff Engineers to define API contracts and with designers to implement pixel-perfect, accessible UIs

Skills & Qualifications

• 8+ years of frontend engineering experience with deep React and Next.js expertise in production systems.

• Mastery of Next.js 14+ App Router, React Server Components, streaming SSR, and static generation — knowing when to apply each pattern.

• Strong TypeScript expertise: type safety across component props, API contracts, Redux store shape, and server/client boundaries.

• Deep Redux expertise: slice design, selector optimization, middleware patterns, and RTK Query for data fetching.

• Proven experience building data-intensive dashboards with real-time data (WebSocket, SSE, or polling) and chart libraries (Recharts, D3.js).

• Experience integrating Elasticsearch-powered search UIs: typeahead, faceted search, and result ranking display.

• Strong frontend performance engineering: bundle analysis, code splitting, memoization, virtualization, and Core Web Vitals optimization.

• Experience establishing and maintaining component design systems with accessibility standards.

• Experience mentoring engineers and raising the technical bar across a frontend team. 

Good to Have

• Experience streaming LLM/AI-generated content into React UI components (token streaming, partial rendering patterns).

• Familiarity with platform-embedded micro-frontend patterns (module federation or iframe-based embedding).

• Background in automotive retail, eCommerce analytics, or SaaS BI/reporting platforms.

• Experience with Storybook for component documentation and visual regression testing. 

Summary:

The Business Solutions Analyst I supports the delivery and implementation of scalable solutions within Tekion’s Professional Services organization. This role assists with gathering business requirements, documenting processes, supporting configuration, and contributing to testing efforts. The ideal candidate is detail-oriented, analytically minded, and motivated to learn how technology can improve operational efficiency and customer experience.

Duties & Responsibilities:

• Please note travel is up to 90% by plane and car.
• Candidates from the following areas preferred: Ontario (Toronto Area), British Columbia (Vancouver area), and Alberta (Calgary area)
• Internal title for this role is Business Solutions Analyst I. 
• Oversee and facilitate dealership user training and support through the implementation lifecycle 
• Provide DMS training to dealership staff in all departments and have fun while doing it 
• Guide and direct additional implementation specialists assigned to the project to ensure high execution 
• Obtain critical milestone signoffs from key dealership contacts 
• Proactively identify implementation risks and mitigate them effectively and efficiently 
• Manage training and setup items in an organized manner, keeping detailed notes, and completing all checklist items in our implementation runbook 
• Must successfully complete an 8-10 week certification/training program and display a strong grasp of product and process knowledge retention 
• Demonstrated history of sustaining a positive attitude during high-stress situations with both dealer partners (DP) and internal teams 
• Fast-learner, and passionate ability to remain in-touch with fast-changing SaaS solutions 
• In-depth knowledge of the retail automotive industry, including common terminology and dealership process flows 
• Deep understanding of Tekion products, including end-user workflows and configurations 
• Knowledge and understanding of implementation processes, including adjacent internal teams role & responsibility with the project 
• Represent Tekion in a positive and professional way in all dealership interactions 
• Work closely with the Implementation manager to set and manage dealership expectations
• Foster relationship with all dealership personnel and stakeholders 

Qualifications:

• 5+ years of DMS experience in the auto industry 
• Proven experience implementing SaaS solutions in large and small auto dealerships 
• Experience working in an early-stage startup environment is a plus 
• Exceptional written and verbal communication skills, interacting with all levels of stakeholders 
• Established ability to articulate technical jargon into consumable levels of understanding for adult learners 
• Ability to take customer suggestions or insights and translate them into technical deliverables for Tekion Product & Support teams 
• 3+ years in Project Management or Project Lead role is preferred 
• Travel (flying) is 90%
• Normally receives little instruction on day-to-day work, general instructions on new assignments. 

Perks and Benefits

• Competitive compensation and generous stock options   
• 100% employer-paid top-of-the-line medical, dental and vision coverage  
• Great benefits including unlimited PTO, parental leave and free snacks and beverages  
• The opportunity to work with some of the brightest minds from Silicon Valley’s most dominant and successful companies   
• Be part of an early stage, hyper-growth start-up with the opportunity to grow and prosper    
• Work on the latest and coolest technologies – everything is home-grown and built ground-up   
• A dynamic work environment with a strong sense of community and collaboration   
• The open and transparent culture that encourages innovation, rewards performance and discourages hierarchy   
• Exciting opportunities for career growth and development   

Current Tekion Employees – Please apply via Greenhouse Internal Job Board

Role Overview
We are seeking a senior, technically strong Product Manager to own platform capabilities across one of our engineering Scrum teams while driving customer-facing outcomes and continuous improvement. This role requires close collaboration with Engineering, AI, and platform teams, along with hands-on understanding of event-driven systems, agentic AI integration, scalable service design, and data-driven product development.

Key Responsibilities
• Own the product backlog for a Scrum team — writing clear, actionable user stories, acceptance criteria, and feature specifications aligned with business goals.
• Partner closely with Engineering and AI teams to deliver high-quality solutions across Java microservices, Kafka event pipelines, and agentic platform integrations.
• Collaborate with platform and infrastructure teams to ensure seamless integrations, well-defined data contracts, and API alignment.
• Track success metrics, adoption, and outcomes — iterating rapidly based on data and field feedback.
• Author Intent definitions, Skill specifications, and Policy configurations for the agentic platform layer (PRDas-Code approach).
• Design and maintain golden dataset scenarios used to validate intelligent capabilities before release.
• Drive change management and adoption of new features, tools, and platform capabilities.
• Build and maintain automations using workflow tools (Zapier or equivalent) to streamline internal processes.
• Demonstrate strong understanding of RESTful APIs, webhooks, and authentication mechanisms; troubleshoot integration issues hands-on.
• Work with data teams to define schemas, reporting views, and analytics instrumentation.
• Facilitate prioritization discussions, manage stakeholder expectations, and communicate trade-offs clearly across Engineering, Design, and Leadership.

Skills & Qualifications
• 6+ years of Product Management experience, preferably in platform, data-driven, or AI-enabled products.
• Strong experience collaborating with engineering teams on technical products — comfortable reading system designs, API specs, and data models.
• Proven analytical and problem-solving skills with a data-driven mindset; experience defining and tracking product KPIs.
• Hands-on experience with RESTful APIs, webhooks, and system integrations (ERP, CRM, data platforms, or cloud services).
• Familiarity with AI systems, LLM-based tools, and agentic AI patterns (intent routing, skill/policy design, MCP tools).
• Experience designing scalable, maintainable solution architectures in collaboration with engineering.
• Excellent verbal and written communication skills; strong stakeholder management across technical and non-technical audiences.
• Structured problem-solving and critical thinking; ability to navigate complex system trade-offs.
• Bachelor's or Master's degree in IT, Computer Science, Business Administration, or a related field.

Good to Have
• Experience authoring PRD-as-Code artifacts: Intent definitions, Skill specs, Policy configurations.
• Background in marketing technology, CDP, or customer data platforms.
• Experience with LMS platforms and user enablement programs.
• Prior experience in automotive retail or dealer technology.

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

Job Description

You will develop enterprise-grade frontend experiences embedded within our core platform and collaborate closely with designers, backend engineers, and product managers to deliver a world-class, AI-native user experience. You will build scalable, performant React + Next.js applications that surface real-time intelligence, campaign management interfaces, and data-rich dashboards — deeply integrated with our backend services and platform component framework.

Key Responsibilities
• Design and build responsive, reusable UI components using ReactJS and Next.js — including data visualization dashboards, campaign management interfaces, and customer intelligence widgets.
• Develop large-scale, cloud-ready frontend applications integrated with backend REST APIs, real-time data streams, and Elasticsearch-powered search experiences.
• Manage application state using Redux, ensuring seamless synchronization with backend microservices.
• Build platform-embedded frontend components following the hexagonal UI principle — components are independent, composable, and decoupled from specific data sources via port interfaces.
• Leverage Next.js SSR and SSG capabilities where appropriate for performance-critical views and SEO relevant surfaces.
• Collaborate with product, design, and backend teams to rapidly prototype and deliver high-quality, data-rich features.
• Ensure usability, performance, security, and visual consistency across environments and devices.
• Diagnose and fix UI bugs, rendering performance issues, and frontend bottlenecks.
• Write high-quality, maintainable code with thorough unit and integration tests.
• Follow Tekion UI, design, and engineering best practices.

Skills & Experience
• 3-5 years of experience in frontend engineering; Bachelor's degree in Computer Science or a related field.
• Strong hands-on expertise with React, Next.js, JavaScript/TypeScript, and Redux.
• Solid knowledge of HTML, CSS, and web standards (REST, HTTP, JSON, DOM, W3C).
• Experience building enterprise-grade SaaS applications with real-time data and complex state management requirements.
• Familiarity with Next.js App Router, SSR, SSG, and API routes.
• Excellent understanding of frontend performance: code splitting, lazy loading, memoization, virtualization.
• Experience with Git and project management tools (e.g., JIRA).
• Proven experience delivering scalable, high-performance frontend systems with thorough test coverage.
• Strong sense of ownership and bias for action in a fast-paced startup environment.

Preferred Skills
• Experience integrating AI-generated content and LLM-streamed responses into frontend components.
• Familiarity with data visualization libraries (Recharts, D3.js) for analytics and reporting dashboards.
• Experience building embedded micro-frontend components within larger platform shells.
• Exposure to Elasticsearch-powered search UI patterns (faceted search, typeahead, result ranking).

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.

Job Description
You will develop enterprise-grade frontend experiences embedded within our core platform and collaborate closely with designers, backend engineers, and product managers to deliver a world-class, AI-native user experience. You will build scalable, performant React + Next.js applications that surface real-time intelligence, campaign management interfaces, and data-rich dashboards — deeply integrated with our backend services and platform component framework.

Key Responsibilities
• Design and build responsive, reusable UI components using ReactJS and Next.js — including data visualization dashboards, campaign management interfaces, and customer intelligence widgets.
• Develop large-scale, cloud-ready frontend applications integrated with backend REST APIs, real-time data streams, and Elasticsearch-powered search experiences.
• Manage application state using Redux, ensuring seamless synchronization with backend microservices.
• Build platform-embedded frontend components following the hexagonal UI principle — components are independent, composable, and decoupled from specific data sources via port interfaces.
• Leverage Next.js SSR and SSG capabilities where appropriate for performance-critical views and SEO relevant surfaces.
• Collaborate with product, design, and backend teams to rapidly prototype and deliver high-quality, data-rich features.
• Ensure usability, performance, security, and visual consistency across environments and devices.
• Diagnose and fix UI bugs, rendering performance issues, and frontend bottlenecks.
• Write high-quality, maintainable code with thorough unit and integration tests.
• Follow Tekion UI, design, and engineering best practices.

Skills & Experience
• 5+ years of experience in frontend engineering; Bachelor's degree in Computer Science or a related field.
• Strong hands-on expertise with React, Next.js, JavaScript/TypeScript, and Redux.
• Solid knowledge of HTML, CSS, and web standards (REST, HTTP, JSON, DOM, W3C).
• Experience building enterprise-grade SaaS applications with real-time data and complex state management requirements.
• Familiarity with Next.js App Router, SSR, SSG, and API routes.
• Excellent understanding of frontend performance: code splitting, lazy loading, memoization, virtualization.
• Experience with Git and project management tools (e.g., JIRA).
• Proven experience delivering scalable, high-performance frontend systems with thorough test coverage.
• Strong sense of ownership and bias for action in a fast-paced startup environment.

Preferred Skills
• Experience integrating AI-generated content and LLM-streamed responses into frontend components.
• Familiarity with data visualization libraries (Recharts, D3.js) for analytics and reporting dashboards.
• Experience building embedded micro-frontend components within larger platform shells.
• Exposure to Elasticsearch-powered search UI patterns (faceted search, typeahead, result ranking).

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.

Summary:
Tekion seeks an exceptionally talented and seasoned Senior Staff Applied Scientist to architect the future of our AI-driven solutions. The incumbent will assume a pivotal role in our organization, providing the strategic and technical stewardship necessary to translate cutting-edge research into tangible business value. The ideal candidate is a first-principles thinker, adept at navigating ambiguity, and possesses the intellectual curiosity to formulate and solve complex, unstructured problems. This is a seminal opportunity to influence the trajectory of our AI strategy and deliver transformative solutions at an enterprise scale. 

Key Responsibilities:

• Strategic Direction: Architect and execute the strategic vision for applied AI and Machine Learning within Tekion, ensuring rigorous alignment with overarching business objectives and industry challenges.
• Innovation & Research Leadership: Steer the R&D roadmap by identifying and capitalizing on emergent technological opportunities. Drive innovation through the ideation and implementation of novel, scientifically-grounded solutions.
• Stakeholder Alignment: Serve as the principal technical liaison between the R&D organization and executive stakeholders, ensuring technical strategies are congruent with business imperatives.
• Cross-Functional Execution: Lead collaborations with product, engineering, and business units to define, develop, and integrate sophisticated machine learning systems into core products and services.
• Scientific Contribution: Contribute to the broader scientific community through publications in premier academic conferences and journals, enhancing Tekion's position as a center of innovation.
• Mentorship & Talent Development: Mentor and cultivate a culture of scientific rigor and innovation among applied scientists, guiding project execution and fostering professional growth.
• Impact Quantification: Establish robust frameworks for model evaluation and performance measurement. Quantify and articulate the business impact of machine learning initiatives to executive leadership.
• Governance & Best Practices: Institute and govern best practices for the entire machine learning lifecycle, including model development, validation, deployment, and monitoring, while championing ethical and responsible AI

Core Competencies & Technical Expertise
The successful candidate will demonstrate mastery in the following areas:

• Foundational Expertise: Deep, theoretical and practical expertise in Machine Learning, Deep Learning, Causal Inference, and Explainable AI.
• Statistical Rigor: Advanced proficiency in applied probability and statistics to derive and validate insights from complex, high-dimensional data.
• Deep Learning:
  • Expert-level proficiency with frameworks such as TensorFlow, Keras, and PyTorch.
  • Extensive experience implementing advanced neural network architectures.
  • Practical application of Computer Vision (e.g., OpenCV) and Natural Language Processing (e.g., spaCy) methodologies.
• Large Language Models (LLMs): Demonstrated experience with Large Language Models, including advanced prompt engineering, fine-tuning, and deployment for specific business applications.
• Technical Proficiencies:
  • Advanced programming skills in Python and mastery of SQL. Familiarity with distributed computing frameworks (e.g., Spark) is advantageous.
  • Proficiency with cloud computing platforms (GCP, Azure, AWS).
  • Expertise in experimental design (A/B testing, causal inference).
  • Proficient in version control systems (Git).

Required Qualifications

• An advanced degree (Ph.D. or M.S. preferred) in a quantitative discipline such as Computer Science, Statistics, Operations Research, Physics, or a related field.
• A minimum of 10+ years of post-academic experience in applied science or quantitative research roles, with a demonstrable history of translating complex models into tangible business value.
• A distinguished track record of solving difficult, business-critical problems using a scientific, data-driven approach.
• Proven experience in programming, data manipulation, and building models in a business context.
• Sophisticated data visualization and presentation skills, with the ability to distill complex analytical results into clear, actionable insights for diverse audiences.

Ideal Candidate Profile

• A profound intellectual curiosity and a systematic, first-principles approach to problem-solving.
• Domain expertise in the automotive industry or related fields such as finance or enterprise SaaS is highly desirable.
• Experience in specialized areas such as Recommendation Engines or advanced NLP is preferred.
• Exceptional communication and presentation capabilities, with a proven ability to distill complex technical concepts for executive-level audiences.
• A demonstrated ability to work collaboratively and effectively lead initiatives across multi-disciplinary teams.
• A commitment to continuous personal and team development within a collaborative, high-performance culture.

Address:

Bangalore Office  

Tekion India Private Limited 

6th, 7th & 8th Floor, Helium, Bagmane Solarium City, Doddanekkundi Village, KR Puram Hobli, East Taluk, Bangalore - 560037 

Chennai Office

Embassy Splendid Zone, Block 2, 9th floor, Velan Nagar, Arulmurugan Nagar, Old Pallavaram, Chennai, Tamil Nadu 600043

Summary:

​The Senior Accountant will lead key components of the accounting cycle including complex reconciliations, month-end close activities, and financial reporting. This role plays a critical role in ensuring accuracy and compliance with accounting standards, while supporting audits and process improvements across the finance function. ​

Duties & Responsibilities:

• This position is onsite 4 days a week in Pleasanton, CA- Thursday remote. 
• International experience with India, UK and Canada preferred.
• Prepares and reviews journal entries, accruals, and reconciliations for complex balance sheet and income statement accounts.
• ​Leads portions of the monthly, quarterly, and annual close processes to ensure timely and accurate financial results.
• Supports preparation of financial statements and variance analysis for management reporting.
• ​Assists in the development and enforcement of accounting policies and internal controls.
• ​Coordinates with auditors during internal and external audit processes and provides required documentation.
• Partners cross-functionally with FP&A, operations, and other teams to ensure proper accounting treatment and data flow. ​

Qualifications:

• 4–6 years of progressive accounting experience
• ​Bachelor’s degree in Accounting or Finance required; CPA or progress toward certification preferred
• ​Deep knowledge of US GAAP and internal control principles
• Strong command of operational accounting.
• ​Experience with ERP systems NetSuite is highly preferred (e.g., Oracle, NetSuite, SAP) and financial reporting tools
• ​Strong analytical and problem-solving skills, with proficiency in Microsoft Excel
• ​Excellent organizational, written, and verbal communication skills
• ​Ability to work cross-functionally and manage multiple priorities in a fast-paced environment
• Experience with cash accounting, fixed assets, operational accounting and payroll accounting with close management and reconciliations. 

Perks & Benefits

• Competitive compensation and generous stock options    
• 100% employer-paid top-of-the-line medical, dental and vision coverage   
• Great benefits including unlimited PTO, parental leave and free snacks and beverages   
• The opportunity to work with some of the brightest minds from Silicon Valley’s most dominant and successful companies    
• Be part of an early stage, hyper-growth start-up with the opportunity to grow and prosper     
• Work on the latest and coolest technologies – everything is home-grown and built ground-up    
• A dynamic work environment with a strong sense of community and collaboration    
• The open and transparent culture that encourages innovation, rewards performance and discourages hierarchy    
• Exciting opportunities for career growth and development    

Current Tekion Employees – Please apply via Greenhouse Internal Job Board 

Summary:

Oversees all accounting, reporting, and compliance activities for Tekion's international operations. Ensures global consistency in financial processes while meeting regional statutory and tax requirements. Partners with local and corporate teams to support accurate reporting, internal controls, and operational efficiency. 

Duties & Responsibilities:

• This position is onsite 4 days a week in Pleasanton, CA- Thursday remote. 
• International experience with India, UK and Canada preferred.
• Lead month-end close, statutory reporting, and intercompany reconciliation across multiple jurisdictions. 

• Review and record global subsidiary financial reports, prepare and post journal entries, and maintain account reconciliations and flux analyses. 

• Oversee global financial consolidations, FX revaluations, and transfer pricing alignment; review cost-plus calculations and related intercompany entries. 

• Coordinate with foreign entities' local accountants for timely monthly financial reporting and day-to-day operational activities. 

• Ensure compliance with US GAAP, local accounting standards, and tax regulations across all global entities. 

• Assist with adherence to local and international accounting regulations, including various filings, reporting requirements, and statutory deadlines. 

• Implement and maintain strong internal controls; perform SOX controls over assigned areas to ensure audit readiness and financial accuracy. 

• Support international tax structure compliance, including review of intercompany entries and relevant documentation. 

• Manage relationships with external auditors, tax advisors, and regulatory authorities in international markets. 

• Coordinate internal and external audit and tax requests, including preparation of supporting reports and documentation. 

• Collaborate with corporate FP&A, tax, treasury, and legal teams to support cross-border initiatives and financial integration. 

• Identify and develop solutions for process improvements; help implement accounting-related software solutions and ad-hoc projects as needed. 

• Mentor and manage international accounting team members, supporting growth, development, and performance management. 

Qualifications 

• Education & Certification 

• Bachelor's degree or higher in Accounting, Finance, or a related field required. 

• CPA designation is a plus; Big 4 or professional services background strongly preferred. 

Experience & Skills 

• 7+ years of progressive accounting experience with significant exposure to international operations and multi-entity environments. 

• Advanced Excel skills, including ability to perform complex functions; experience with NetSuite is a plus. 

• Strong knowledge of US GAAP, local statutory reporting, SOX compliance, and international tax structures. 

• Excellent communication skills with the ability to manage multiple priorities and meet team goals and deadlines. 

• Critical thinking skills to identify process improvements and drive efficiencies across global accounting functions. 

• Exceptional attention to detail; committed to accuracy and thoroughness in all accounting records and deliverables. 

• Willingness to contribute beyond the defined role and adapt to evolving business needs. 

Perks & Benefits

• Competitive compensation and generous stock options    

• 100% employer-paid top-of-the-line medical, dental and vision coverage   

• Great benefits including unlimited PTO, parental leave and free snacks and beverages   

• The opportunity to work with some of the brightest minds from Silicon Valley’s most dominant and successful companies    

• Be part of an early stage, hyper-growth start-up with the opportunity to grow and prosper     

• Work on the latest and coolest technologies – everything is home-grown and built ground-up    

• A dynamic work environment with a strong sense of community and collaboration    

• The open and transparent culture that encourages innovation, rewards performance and discourages hierarchy    

• Exciting opportunities for career growth and development    

Current Tekion Employees – Please apply via Greenhouse Internal Job Board 

Role Overview

We are looking for a Senior Backend Engineer to design, build, and scale robust backend services that power complex business workflows. This role requires strong ownership, deep Java expertise, a solid grounding in hexagonal architecture, and the ability to collaborate effectively across product, QA, AI/ML, and engineering teams in a fast-moving, AI-native environment.

Key Responsibilities

• Design and build Java (Spring Boot 3.x) microservices following hexagonal architecture — clean domain logic isolated from MongoDB, PostgreSQL, Cosmos DB, and Kafka adapter implementations.

• Develop and maintain REST APIs, Kafka event consumers/producers, and domain service logic for campaign, scoring, attribution, and customer profile workflows.

• Build and manage MongoDB document schemas and PostgreSQL relational schemas for high-throughput, multi-tenant use cases. 

• Implement Cosmos DB data models for event and state storage with appropriate partition key and consistency strategies.

• Take end-to-end ownership of components — from domain design and hexagonal adapter implementation through deployment and ongoing optimization.

• Integrate with Elasticsearch for campaign search, customer lookup, and full-text query workloads.

• Configure and tune Redis or Aerospike for frequency cap enforcement, scoring cache, and session state management.

• Identify and resolve performance bottlenecks across services, event pipelines, and data layers.

• Participate actively in design discussions, architecture decisions, and code reviews.

• Mentor Junior engineers and act as a role model for code quality, hexagonal design, and AI-native engineering best practices.

Skills & Qualifications

• 5+ years of backend engineering experience; Bachelor's or Master's degree in Computer Science or a related field.

• Strong Java 21 and Spring Boot 3.x expertise; solid grasp of hexagonal architecture and clean domain modeling.

• Experience with Kafka: consumer/producer patterns, at-least-once delivery, idempotent processing, and event-driven service design.

• Hands-on MongoDB experience: document schema design, indexing, aggregation pipelines, multi-tenant isolation.

• PostgreSQL experience: schema design, query optimization, migration management.

• Familiarity with Cosmos DB or equivalent distributed key-value / document stores.

• Experience with Elasticsearch for search and analytics workloads.

• Experience with Redis or Aerospike for high-throughput caching patterns.

• Familiarity with cloud-based systems on AWS (EKS, MSK, S3).

• Strong debugging, performance tuning, and system optimization skills.

• Familiarity with Agile/Scrum development practices and CI/CD pipelines.

Good to Have

• Experience with Temporal for workflow orchestration.

• Familiarity with AI-native integration patterns: MCP tool registration, scoring API contracts, LLM gateway usage.

• Working knowledge of Python for understanding AI/ML service outputs and integrating scoring results.

• Background in enterprise-scale SaaS platforms: eCommerce, supply chain, or similar. 

Job Description

We are looking for a Software Engineer II to join one of our Scrum teams building AI-native, event-driven services for automotive retail intelligence. This is a core contributor role for engineers with 2–4 years of experience who are ready to take end-to-end ownership of features, grow their distributed systems skills, and work in a high velocity environment that demands code quality, hexagonal architecture discipline, and genuine curiosity about AI-native engineering.

Key Responsibilities

• Develop and maintain Java (Spring Boot 3.x) backend services — implementing domain logic, REST APIs, Kafka event consumers/producers, and MongoDB/PostgreSQL persistence adapters following hexagonal architecture patterns.
• Build features across the full backend slice: domain model, port interface, adapter implementation, unit tests, and integration tests.
• Write integration tests using Testcontainers for MongoDB, PostgreSQL, Kafka, and Elasticsearch adapters — ensuring each adapter is tested independently from the domain core.
• Participate in design discussions, architecture reviews, and code reviews — actively learning from Staff and Senior engineers.
• Investigate and resolve bugs, performance issues, and Kafka consumer lag across services.
• Write clean, well-documented, testable code with consistent application of hexagonal design principles.
• Contribute to golden dataset test scenario design under the guidance of the Product Manager and SDET.
• Operate with ownership and curiosity in a fast-paced, startup environment.

Skills and Experience

• 2–4 years of backend engineering experience; Bachelor's or Master's degree in Computer Science or a related field.
• Solid Java fundamentals: object-oriented design, Spring Boot, REST API implementation, and unit testing (JUnit 5).
• Working knowledge of at least one of: MongoDB, PostgreSQL, or Kafka — with willingness to develop depth across all three.
• Understanding of hexagonal architecture concepts (ports & adapters) — ability to implement adapters under the guidance of senior engineers.
• Familiarity with cloud environments (AWS), containerization (Docker), and CI/CD pipelines.
• Strong problem-solving skills, attention to code quality, and ability to receive and apply feedback quickly.
• Collaborative mindset and clear communication — comfortable asking questions and flagging blockers early.

Preferred Skills

• Exposure to Kafka producers and consumers in a production or learning context.
• Familiarity with Elasticsearch for search and analytics use cases.
• Curiosity about AI/ML systems — awareness of what scoring models, embeddings, and LLMs do at a systems level.
• Exposure to Redis or Aerospike for caching patterns.
  
  

Perks and 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.

Job Description

We are seeking a Staff Backend Engineer to design and build scalable, AI-native backend services that power customer intelligence, campaign orchestration, and attribution at automotive retail scale. This role is the critical technical anchor — defining hexagonal architecture patterns, owning service boundaries, driving AI integration patterns, and setting the engineering bar for the entire team.

Key Responsibilities

 • Architect Java (Spring Boot 3.x) microservices using hexagonal architecture — defining clean domain cores, port interfaces for persistence (MongoDB, PostgreSQL, Cosmos DB), and adapter implementations for Kafka, Elasticsearch, Redis/Aerospike, and external APIs.

• Own core domain models and service boundaries end-to-end: from initial hexagonal design through production operation, Kafka event contracts, and iterative enhancement.

• Build scalable, secure REST APIs and robust Kafka-based event-driven pipelines that consume and produce events across multiple source systems. 

• Design MongoDB document schemas and PostgreSQL relational schemas for high-throughput, multi-tenant workloads — with deep attention to indexing strategy, TTL, and tenant isolation patterns.

• Design Cosmos DB data models for high-throughput event and state storage — partition key strategy, consistency levels, and TTL configuration. 

• Design and implement durable campaign execution workflows using Temporal. 

• Establish and own AI-native integration patterns: MCP tool registration, scoring model serving contracts, LLM gateway integration, and agentic workflow design.

• Identify and resolve performance bottlenecks across services, Kafka pipelines, data layers, and Elasticsearch query performance. 

• Ensure all systems meet reliability, scalability, and observability standards.

• Mentor senior, mid-level, and junior engineers — setting and consistently raising the engineering bar.

Skills & Qualifications

• 8+ years of backend engineering experience with a strong track record delivering production-grade Java systems.

• Deep expertise in hexagonal architecture (ports & adapters) — proven ability to design domain cores fully decoupled from infrastructure layers.

• Strong Java 21 and Spring Boot 3.x expertise with event-driven, microservices-first design. 

• Strong experience with Kafka — consumer groups, partition design, offset management, idempotent consumers, and event-driven service integration.

• Proven experience with MongoDB: document schema design, indexing, aggregation pipelines, and multi tenant isolation patterns.

• Strong PostgreSQL experience: complex schema design, query optimization, migration management.

• Experience with Cosmos DB or equivalent globally distributed key-value stores: partition key design, consistency tuning, high-throughput read/write patterns.

• Solid experience with Elasticsearch: index design, search query optimization, relevance tuning.

• Experience with Redis or Aerospike for high-throughput caching and session/state management.

• Strong understanding of distributed systems: service boundaries, data consistency, idempotency, retries, and circuit breaking on AWS (EKS, MSK).

Preferred Skills

• Experience with Temporal for durable workflow orchestration. 

• Familiarity with MCP tool registration patterns and agentic platform integration.

• Working knowledge of Python for AI/ML pipeline integration (scoring models, feature serving, LLM gateway patterns).

• Prior experience building data platforms, real-time analytics systems, or AI-native SaaS products.

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.

Role Overview

We are seeking a Principal Applied Scientist to be the highest-level AI technical authority on the team. This role is above the Applied Scientist level — you set the AI research and engineering direction, own the agentic system architecture, define the eval framework standards, and operate as the primary interface to the external AI research community and internal platform AI leadership. You will combine deep research rigor with relentless production focus: every AI capability you design ships, gets measured, and improves based on evidence.

You are the person who answers: "Is this AI approach the right one, and how do we know when it's working"

Key Responsibilities

• Own the agentic system architecture: define the multi-agent coordination patterns, MCP tool taxonomy, intent-to-skill routing logic, policy enforcement design, and memory management strategy across all AI workflows on the platform.
• Lead the AI evaluation framework: design the golden dataset structure, define eval metrics (RAG retrieval quality, scoring accuracy, LLM response correctness, agentic workflow success rate), and own the CI/CD AI eval pipeline that gates every AI capability release.
• Drive the RAG architecture strategy: chunking strategies for MongoDB and Elasticsearch-indexed documents, embedding model selection and fine-tuning, retrieval reranking design, and hallucination mitigation patterns.
• Own the LLM integration architecture: prompt engineering standards, LLM gateway usage policies, context window management, streaming response patterns, and model version governance.
• Lead applied research initiatives: identify novel techniques (RLHF, Constitutional AI, multi-modal, sparse retrieval) that are practically applicable to automotive retail intelligence use cases and prototype them rigorously in Python.
• Define the hexagonal AI adapter contract standard: the formal interface specification between Python AI services and Java domain cores — ensuring AI infrastructure remains swappable without domain logic changes.
• Act as primary technical interface to platform AI leadership (LLM Gateway, ML Platform, Agentic Engine) — influencing platform roadmap based on teams practical requirements.
• Mentor the Applied Scientist and ML Architect; conduct technical reviews of AI system designs, eval frameworks, and research approaches.
• Publish, present, or contribute to open-source where appropriate — representing Tekion's AI engineering excellence externally.

Skills & Qualifications

• 10+ years of applied AI/ML experience with at least 3 years at Staff or Principal level — a track record of shipping AI systems that measurably changed business outcomes.
• Deep expertise across: LLM fine-tuning and alignment, RAG system design (chunking, embedding, retrieval, reranking), agentic frameworks (LangGraph, CrewAI, AutoGen), and MCP tool design.
• Python mastery: PyTorch, Hugging Face Transformers, LangChain/LangGraph, scikit-learn, and production ML serving tooling.
• Strong understanding of distributed AI systems: Elasticsearch-backed vector search, Redis/Aerospike serving, Cosmos DB for AI event logging, and Kafka-based feature pipelines.
• Proven ability to design formal eval frameworks for AI systems — not just accuracy metrics but business aligned quality gates.
• Experience defining and enforcing hexagonal adapter contracts between AI services and domain service layers in production systems.
• Track record of communicating complex AI system design to non-technical stakeholders, influencing product roadmaps, and driving cross-team alignment. 

Good to Have

• Publications or significant open-source contributions in NLP, information retrieval, or agentic systems.
• Experience with Constitutional AI, RLAIF, or preference optimization techniques (DPO, PPO).
• Familiarity with multi-modal AI and its application to automotive retail data (images, documents, tabular data fusion).
• Prior experience in a product-focused AI role at a SaaS or platform company — not purely research. 

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.

Summary:

Leads advanced financial analysis and optimization strategies for cloud infrastructure, providing expert-level insight and technical guidance to drive cost efficiency, forecasting accuracy, and financial accountability across multi-cloud environments. This role partners closely with engineering, finance, and procurement teams to enable strategic cloud investment decisions.​

Duties & Responsibilities:

• ​ Lead in-depth cost modeling, forecasting, and trend analysis for AWS, Azure, GCP, and other cloud platforms.
• Design and implement scalable chargeback/showback models, allocation frameworks, and budget controls across business units.
• Serve as the primary expert on cloud cost optimization, including automation of rightsizing, usage analysis, and commitment planning (RI/SP/CUD).
• Collaborate with cloud engineering and architecture teams to ensure cost considerations are embedded in system design and scaling strategies.
• Provide financial oversight and scenario modeling to support large-scale cloud investments and vendor negotiations.
• Own and maintain FinOps dashboards, data pipelines, and cloud billing integrations with BI platforms.
• Define and drive FinOps best practices, governance standards, and cross-functional training initiatives.
• Mentor other analysts and serve as a lead contributor to FinOps maturity and tooling strategies.​

Job Complexity:

Leads the most complex, high-impact cloud financial analysis and optimization initiatives. Translates technical usage into strategic financial insights.

Required Supervision:

Operates independently with a high degree of autonomy. Trusted to guide FinOps execution and influence enterprise cloud strategy.

Expertise:

Deep subject matter expertise in cloud billing, cost modeling, and FinOps strategy. Recognized as a key influencer in cloud financial planning and optimization.​

Qualifications:

• ​ Bachelor’s or Master’s degree in Finance, Data Science, Engineering, or a related field.
• 7+ years of experience in cloud cost optimization, infrastructure finance, or enterprise technology operations.
• Advanced knowledge of public cloud platforms (AWS, Azure, GCP), billing constructs, and pricing strategies.
• Proficiency in SQL, Excel, and BI tools such as Tableau, Power BI, or Looker.
• Experience with cloud cost management platforms (e.g., Apptio Cloudability, CloudHealth, native tools).
• Strong technical acumen, communication skills, and ability to collaborate across engineering and finance.
• FinOps Certified Practitioner or Professional strongly preferred.

Summary:

Leads advanced financial analysis and optimization strategies for cloud infrastructure, providing expert-level insight and technical guidance to drive cost efficiency, forecasting accuracy, and financial accountability across multi-cloud environments. This role partners closely with engineering, finance, and procurement teams to enable strategic cloud investment decisions.​

Duties & Responsibilities:

• ​ Lead in-depth cost modeling, forecasting, and trend analysis for AWS, Azure, GCP, and other cloud platforms.
• Design and implement scalable chargeback/showback models, allocation frameworks, and budget controls across business units.
• Serve as the primary expert on cloud cost optimization, including automation of rightsizing, usage analysis, and commitment planning (RI/SP/CUD).
• Collaborate with cloud engineering and architecture teams to ensure cost considerations are embedded in system design and scaling strategies.
• Provide financial oversight and scenario modeling to support large-scale cloud investments and vendor negotiations.
• Own and maintain FinOps dashboards, data pipelines, and cloud billing integrations with BI platforms.
• Define and drive FinOps best practices, governance standards, and cross-functional training initiatives.
• Mentor other analysts and serve as a lead contributor to FinOps maturity and tooling strategies.​

Job Complexity:

Leads the most complex, high-impact cloud financial analysis and optimization initiatives. Translates technical usage into strategic financial insights.

Required Supervision:

Operates independently with a high degree of autonomy. Trusted to guide FinOps execution and influence enterprise cloud strategy.

Expertise:

Deep subject matter expertise in cloud billing, cost modeling, and FinOps strategy. Recognized as a key influencer in cloud financial planning and optimization.​

Qualifications:

• ​ Bachelor’s or Master’s degree in Finance, Data Science, Engineering, or a related field.
• 7+ years of experience in cloud cost optimization, infrastructure finance, or enterprise technology operations.
• Advanced knowledge of public cloud platforms (AWS, Azure, GCP), billing constructs, and pricing strategies.
• Proficiency in SQL, Excel, and BI tools such as Tableau, Power BI, or Looker.
• Experience with cloud cost management platforms (e.g., Apptio Cloudability, CloudHealth, native tools).
• Strong technical acumen, communication skills, and ability to collaborate across engineering and finance.
• FinOps Certified Practitioner or Professional strongly preferred.

As a Senior Database Engineer at Tekion, you will design, automate, and optimise database operations across our cloud-native automotive retail platform, connecting OEMs, dealerships, partners, and consumers. You’ll be working on scaling problems, laying down processes and streamlining requirements to actual executable tasks.

You’re expected to know in-depth about different storage and replication internals, trade-offs across SQL/NoSQL technologies, distributed systems fundamentals, transaction interaction and concurrency. A combination of this with strong Python fundamentals and Python scripting experience would make you a strong candidate for this role.

You should have at least 4+ years of experience. You should know about MongoDB in depth, and at least one SQL database like MySQL, MariaDB, PostgreSQL. People who want to build systems, not just manage them.

Key Responsibilities:

1. Core Database Engineering & Distributed Systems (Primary Focus):
1. Debug and prevent concurrency issues (deadlocks, lock escalation, starvation, long-running transactions) and advise teams on safe patterns (idempotency, retries, backoff, fencing tokens).
2. B-tree/LSM trade-offs, page layout, WiredTiger cache, journaling, WAL/redo/undo, checkpoints, compaction, MVCC behaviour
3. Backups (Logical vs Physical vs Snapshots based), upgradation of database systems and versions, data migration, and Disaster Recovery implementation
4. Query planner behaviour, statistics, cardinality estimation pitfalls
5. Indexing strategies and write amplification trade-offs
2. Reliability Engineering, Observability & Incident Response :
   Build and implement database reliability practices:

1. Lead incident response and postmortems; implement preventative controls and automated remediation.
2. Implement monitoring and alerting for replication lag, lock contention, buffer/cache health, slow query patterns, storage growth, and failover events.

1. Python Automation & Platform Tooling (Required):
   Develop and maintain robust Python tooling/services for:

• Automated health checks, failover verification, backup/restore validation, and consistency checks.
• Online schema change orchestration, safe rollout/rollback workflows, and guardrails in automation.
• Performance diagnostics automation (plan capture, workload fingerprinting).
• Build scalable automation that handles millions of records/events efficiently (attention to time/space complexity).

1. Data Modelling Across SQL & NoSQL:
   Guide data modelling decisions across relational and document/Key-Value stores:

• Normalisation vs denormalisation trade-offs
• Secondary index design, hot partition mitigation, and throughput planning
• TTL, archiving, and lifecycle policies
• Define governance for data correctness, durability, and operational safety in high-throughput systems

1. Collaboration, Standards & Enablement

1. Partner with application teams to design safe data access patterns, migration strategies, and operational standards.
2. Define best practices for production change management, access controls, auditing, and compliance requirements.
3. Mentor engineers and raise the bar on database engineering craftsmanship across the org.
4.  

Qualifications & Skills

Must have

• 4+ years of work experience as an engineer in a relevant role and responsibilities.
• Strong foundation in distributed systems and database fundamentals: CAP, consensus basics, replication, failure handling, and consistency.
• Deep understanding of transaction semantics, isolation levels, MVCC, locking, concurrency failure modes, storage engines and DB internals.
• Strong Python skills for building production-grade automation and diagnostics tooling.
• Hands-on experience operating and tuning production databases (MongoDB and at least one SQL system such as MySQL, PostgreSQL, MariaDB etc).
• Strong debugging and performance analysis skills; comfortable working from metrics, logs, traces, and low-level symptoms.
• Experience working with Linux and familiarity with common commands.

Nice to Have

• Experience with multi-region data architectures, global tables, and cross-region failover strategies.
• Familiarity with AWS and MongoDB Atlas.
• Understanding of Networking concepts like VPC, subnets, security groups, CIDR, peering etc.
• Experience with Kubernetes and/or self-managed database experience
• Experience building internal platforms (self-serve database ops, policy-as-code, safe migration frameworks).

What We’re Looking For

A senior engineer who:

• Thinks in trade-offs (latency vs consistency, durability vs throughput, cost vs performance), thinks deeply.
• Can reason from first principles about database behaviour under failure and load.
• Uses Python to operationalise best practices into repeatable, safe automation and can instruct others on best practices.
• Drives reliability, performance, and correctness across both SQL and NoSQL systems.
• Leads through technical clarity, ownership, and mentorship.

Role Overview

We are seeking a Staff Technical Program Manager to own the cross-team delivery machinery for a 20-person AI native engineering organization. This is not a project coordination role — it is a technical program ownership role.  You will maintain the master delivery plan across two Scrum teams and shared resources, track and resolve  
cross-team dependencies (platform teams, ARC backend, OEM integrations), manage risk before it becomes a miss, and create the delivery transparency that allows Engineering, Product, and Executive leadership to make fast, informed decisions. The best TPMs are invisible when things go well and indispensable when they don't. 

Key Responsibilities 

• Own the master delivery plan: maintain the integrated roadmap across both Scrum teams, shared resources (Architect, ML, SDET), and external platform dependencies — with milestone-level clarity at all times.  
• Track and resolve cross-team dependencies: Agentic Engine, Core Platform (Temporal, MCP Gateway, Component Framework), ARC backend (Kafka event contracts, API dependencies), Design (component specs), and external vendors (email/SMS providers).  
• Run the delivery rhythm: sprint review calendar, cross-team sync cadence, dependency review meetings, and risk escalation forums — keeping the Director and VP Engineering informed without burying them in status updates.  
• Identify, quantify, and manage delivery risks: surface blockers early, drive resolution with urgency, and maintain a live risk register with mitigation owners and timelines.  
• Own cross-team technical communication: translate engineering status into language that Product, Business, and Executive stakeholders can act on — and translate business urgency back into engineering trade-off decisions.  
• Drive the release process: define release criteria, coordinate go/no-go decisions with Engineering, QA (Staff SDET), and Product, and manage production deployments across services.  
• Manage the dependency interface to the T1 Agentic Engine team: track which Intent, Skill, Policy, and MCP tool registrations are ready, which are blocked, and what the critical path impact is.  
• Continuously improve the delivery system: identify bottlenecks in the engineering process, drive retrospectives, and implement changes that sustainably increase throughput and quality.

Skills & Qualifications 

• 12+ years of technical program management experience, with at least 3 years at Staff level managing multi team programs at SaaS or platform companies.  
• Strong technical depth: able to read architecture diagrams, understand Kafka dependency graphs, evaluate API contract blockers, and participate credibly in engineering design discussions.  
• Proven experience managing complex, multi-team delivery programs with many external dependencies — including platform dependencies outside your direct control.  
• Expert facilitation of engineering delivery rituals: sprint planning, dependency reviews, release gates, post mortems, and architecture syncs.  
• Deep understanding of AI-native product delivery: what makes AI system delivery different from traditional software (eval requirements, model versioning, non-deterministic outputs, golden dataset dependencies).  
• Excellent written communication: can produce a crisp, executive-readable status update that tells the truth clearly and drives decisions.  
• Strong stakeholder management across Engineering, Product, Design, and Executive levels — comfortable managing up, across, and down.  

 
Good to Have  

• Experience managing delivery programs that involve both Java microservices and Python AI/ML engineering teams simultaneously.  
• Familiarity with agentic AI platform concepts: intent registries, MCP tools, skill/policy authoring, and eval frameworks — enough to track technical dependency status accurately.  
• Background in automotive retail technology or dealer management systems.  
• Prior experience working in a US-India distributed engineering organization.  
 

Job Description

We need a senior graphic designer who can think strategically and ship great work. You'll manage our brand's visual identity across all digital channels and work directly with the communication team, marketing, and leadership to create designs that connect with our audience. You'll mentor the design team, maintain quality standards, and help build the way we work. This role fits someone who wants to lead, create, and grow a design practice at a technology company that moves fast.

Key Responsibilities

Brand Vision & Consistency: You'll maintain our brand's visual standards and build the design systems that keep everything consistent. That means creating guidelines, components, and patterns that work across all platforms - so every project reinforces the brand without starting from scratch.

End-to-End Creative Leadership: You'll own design projects from start to finish across web, mobile, and marketing campaigns. That means taking concepts from initial ideas through final launch. You'll work with communications, marketing, product, and leadership to create designs that look sharp and move business metrics - whether that's revenue, adoption, or conversion.

Ideation & Storytelling: You'll research concepts and turn them into working designs. Then you'll present your work to different teams - product, marketing, leadership - and explain the thinking behind your JD - Associate Principle Graphic Designer 1 choices. That means showing why certain design decisions solve specific problems, not just what looks good. You need to make your case clearly whether you're talking to designers or marketers or executives. 

Team Leadership & Growth: You'll manage a small design team and help them grow. That means coaching designers on their projects, giving feedback that improves their work, and building accountability around quality. The goal is creating a design powerhouse where people own their craft and keep getting better at it. Holistic Design Oversight: You'll review all design work before it ships - product interfaces, illustrations, brand materials, presentations, and campaign visuals. That means maintaining quality standards across everything and making sure it all feels consistent. Nothing goes out without your approval.

Systems & Workflow Innovation: You'll build design systems and workflows that make the team more efficient. As we grow, you'll keep improving how we work - finding ways to move faster without dropping quality. The goal is scaling output while keeping the work sharp.

Strategic Design Advocacy: You'll represent design in leadership meetings and cross-functional discussions. That means explaining design decisions to executives and showing how they connect to business goals - whether that's Brand perception, revenue, adoption, or user retention. You'll need to make the case for design quality and user experience when priorities compete.

Qualifications

• Five or more years of hands-on visual and brand design experience in tech or SaaS, with a portfolio that shows clear thinking, strong storytelling, and high craft.
• A track record of leading or managing designers on real projects, with experience owning outcomes, not just visuals.
• Deep expertise in Figma and Adobe Creative Suite, plus comfort exploring new tools for motion, prototyping, and collaboration.
• Proven ability to build and evolve brand identities, logos, and web experiences that can scale across enterprise audiences and channels. 
• Strong communication skills with real executive presence: you can defend your work with clarity, invite feedback, and align teams around a shared vision.
• Experience running projects end to end, from brief and discovery through delivery, with a structured approach to planning, prioritizing, and followthrough.
• A habit of staying ahead of design, product, and culture trends, and turning that curiosity into concrete ideas we can ship.
• High personal accountability: you take ownership, push for better outcomes, and hold yourself and others to a strong quality bar.
• Genuine passion for design and storytelling, and a desire to grow a small team into a tight, proud, high-performing creative group. 

Perks and Benefits

• Competitive compensation
• Generous stock options
• Medical Insurance coverage
• Work with some of the brightest minds from Silicon Valley’s most dominant and successful companies

ROLE SUMMARY: The Senior Financial Analyst leads complex financial analyses and planning activities to support strategic decision-making and business performance management. This role partners with cross-functional teams to provide financial insights, manage forecasting processes, and improve reporting capabilities across the organization.

KEY RESPONSIBILITIES

Financial Planning & Analysis:

• Lead budgeting, forecasting, and long-range planning activities for assigned departments or business units.
• Develop advanced financial models to analyze business scenarios, track performance, and support strategic initiatives.
• Perform variance analysis and partner with business leaders to identify risks, opportunities, and efficiency improvements.

Reporting & Insights

• Prepare and deliver financial reporting packages and dashboards for leadership, highlighting key trends and insights.
• Support business units with KPI reporting on key operational, sales, and financial metrics.
• Provide ad-hoc reporting and forward-looking analysis, proactively engaging business leaders in gap analysis and course correction.

Close & Compliance

• Support monthly and quarterly close processes, including accruals, reconciliations, and financial statement analysis.
• Apply a thorough understanding of US GAAP for purposes of financial statement analysis.

Process Improvement & Systems

• Contribute to process improvements, financial systems upgrades, and automation initiatives.
• Identify and assist in the implementation of enhancements to financial reporting and planning systems.

QUALIFICATIONS

Required

• 5-6yrs years of experience in FP&A, financial analysis, or corporate finance.
• Bachelor's degree in Finance, Accounting, Economics, or a related field.
• Proficient in financial modeling, Excel, and reporting tools (e.g., Power BI, Anaplan, Adaptive Insights).
• Experience with ERP systems (e.g., Oracle, SAP, NetSuite) and financial planning platforms.
• Thorough understanding of US GAAP for financial statement analysis.
• Excellent communication, problem-solving, and cross-functional collaboration skills.
• Proven ability to manage competing deadlines and shifting priorities with minimal supervision.

Preferred

• MBA or CFA designation.
• Experience in a high-growth or publicly traded company environment.
• Familiarity with data visualization and BI tools.

CORE COMPETENCIES

Candidates will be evaluated against the following behavioral competencies:

Job Description

We are looking for a Senior QA Engineer / SDET to drive quality across our AI-native backend services and platform systems. You will own test automation strategy, release quality gates, and quality engineering practices — working closely with backend engineers (Java + Python), product managers, and platform architects. This role focuses heavily on validating hexagonal architecture adapters, Kafka event pipelines, multi-database correctness, and AI scoring model outputs.

Key Responsibilities

• Design, build, and scale automated test frameworks for Java microservices built on hexagonal architecture — with distinct test strategies for the domain core, adapter layers (MongoDB, PostgreSQL, Cosmos DB, Kafka, Elasticsearch, Redis/Aerospike), and external integrations.

• Develop and maintain comprehensive test suites: functional, integration (Testcontainers), regression, contract, and end-to-end across all adapter implementations.

• Validate Kafka event pipelines: consumer behavior, event ordering, idempotency, poison pill handling, and dead-letter queue processing. 

• Validate MongoDB document integrity, PostgreSQL relational consistency, Cosmos DB partition correctness, and Elasticsearch index accuracy across service boundaries.

• Design and execute golden dataset test scenarios — seeding realistic dealer and customer data to validate scoring accuracy, suppression correctness, and attribution logic.

• Validate Python-based AI/ML service outputs: scoring model results, recommendation correctness, and LLM response safety gates. 

• Collaborate closely with backend engineers and architects to embed quality early in hexagonal domain design and adapter implementation.

• Drive testability improvements by influencing API design, logging, observability, and error handling.

• Own release quality and go/no-go decisions by defining and tracking quality gates in CI/CD pipelines.

• Define and monitor quality metrics: test coverage, defect leakage, flakiness, MTTR, and automation ROI. 

• Lead root cause analysis for production issues and drive preventive measures.

• Mentor junior QA/SDET engineers and set best practices across teams.

Skills & Experience

• 6+ years of hands-on experience in QA Engineering, Test Automation, or SDET roles.

• Strong test automation expertise using modern Java-based frameworks; working knowledge of Python test frameworks (pytest) is a strong plus.

• Deep experience testing distributed microservices, REST APIs, and Kafka-based architectures.

• Experience with Testcontainers for integration testing across MongoDB, PostgreSQL, Kafka, and Elasticsearch locally.

• Strong understanding of Kafka testing: consumer behavior, event ordering guarantees, and idempotency validation.

• Experience with MongoDB and PostgreSQL testing patterns: data integrity, schema migration validation, multi-tenant isolation verification.

• Familiarity with Elasticsearch test strategies: index correctness, relevance, and query result validation.

• Experience with CI/CD pipeline integration (GitHub Actions, Jenkins, or equivalent).

• Familiarity with containerized environments (Docker, Kubernetes).

• Excellent problem-solving, communication, and collaboration skills.

Preferred Skills

• Experience validating AI/ML model outputs and scoring pipeline correctness.

• Exposure to contract testing (Pact or similar) and service virtualization for hexagonal adapter boundaries.

• Experience with performance, load, and chaos testing (JMeter, Gatling, k6) against Elasticsearch and Kafka.

• Background in DevOps or Site Reliability Engineering practices.

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. 

Job Description

We are seeking a Staff SDET to own the quality architecture for our AI-native platform. This is not a test execution role — it is a quality engineering leadership role. You will design and own the test strategy across all layers of the hexagonal architecture (domain core, adapters, integration, end-to-end), establish quality gates for AI model outputs, build the golden dataset evaluation framework, and set the engineering bar for Senior SDETs and QA engineers on both Scrum teams. Nothing ships without your sign-off.

Key Responsibilities

• Own the complete quality architecture: define test strategies at each hexagonal layer — domain core unit tests, adapter integration tests (Testcontainers), service-to-service contract tests (Pact), and end-to-end scenario tests.

• Design and build the golden dataset evaluation framework: seed realistic multi-tenant dealer/customer data across MongoDB, PostgreSQL, Cosmos DB, Elasticsearch, and Kafka, and define assertion criteria for scoring accuracy, suppression correctness, and attribution logic. 

• Establish AI quality gates: define evaluation criteria for ML model outputs (scoring, recommendations), LLM response quality, RAG retrieval accuracy (precision@k, recall), and agentic workflow correctness.

• Architect test infrastructure: Testcontainers configurations for MongoDB, PostgreSQL, Cosmos DB, Kafka, Elasticsearch, and Redis/Aerospike — enabling fully local integration test runs.

• Own CI/CD quality pipeline: define what automated tests run at commit, PR, staging, and pre-release gates — with blocking quality thresholds.

• Define and track quality metrics: test coverage per hexagonal layer, defect leakage, flakiness rate, MTTR, and automation ROI.

• Lead root cause analysis for production escapes — own post-mortems and preventive measure implementation. 

• Mentor Senior SDETs and QA engineers across both teams; conduct design reviews for test frameworks and golden dataset designs.

• Influence backend and frontend engineers on testability: drive API design, logging, observability, and error handling that makes services intrinsically testable. 

Skills & Experience

• 8+ years of QA Engineering, Test Automation, or SDET experience with strong hands-on engineering depth.

• Deep expertise designing test strategies for hexagonal architecture: proven ability to test domain cores independently from adapters, and adapters independently from each other.

• Strong programming skills in Java (primary) and Python — able to write production-quality test frameworks, not just test scripts. 

• Expert-level Testcontainers experience across MongoDB, PostgreSQL, Kafka, Elasticsearch, and Redis/Aerospike. 

• Experience with contract testing (Pact or similar) for service boundary validation and service virtualization.

• Deep Kafka testing expertise: consumer group behavior, event ordering guarantees, idempotency, and dead-letter queue validation.

• Experience designing golden dataset strategies: multi-tenant data seeding, realistic event sequences, and deterministic assertion design.

• Experience integrating quality gates into CI/CD pipelines with meaningful blocking thresholds.

• Strong understanding of AI/ML output validation: scoring correctness, RAG retrieval quality metrics, and agentic workflow eval design.

Preferred Skills

• Experience with performance, load, and chaos testing (Gatling, k6) against Kafka, Elasticsearch, and MongoDB at scale.

• Background in AI/ML quality engineering: eval frameworks (RAGAS or similar), model regression detection, and LLM safety testing.

• Prior experience owning quality for a platform serving multiple engineering teams (quality platform ownership).

• Familiarity with Cosmos DB testing patterns and eventual consistency validation strategies.

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.

Role Summary

Tekion is seeking a Director, GTM Product Management to lead and scale our Go-To-Market engine from Bangalore, India. This is a hybrid leadership role that spans product marketing, product strategy, GTM engineering, AI-powered content operations, and competitive enablement — reporting to the VP of Product Innovation and Design or VP of Product Marketing. You will own the strategy, systems, and content infrastructure that connects Tekion’s product innovation to revenue outcomes, building AI-native workflows that accelerate pipeline generation, shorten sales cycles, and increase competitive win rates across our Automotive Retail Cloud (ARC), Automotive Enterprise Cloud (AEC), and Automotive Partner Cloud (APC) product lines. You will also play a critical role in shaping product strategy by translating market intelligence, competitive dynamics, and customer insights into strategic inputs that influence the product roadmap and investment priorities.

Roles and Responsibilities

• Go-To-Market Strategy & Execution — Own end-to-end GTM planning for new product launches and feature releases across ARC, AEC, and APC — from Ideal Customer Profile (ICP) definition (including target dealer groups by size, geography, OEM affiliation, and technology maturity) and channel strategy through pricing alignment, partner co-marketing, and launch execution.

• AI-Powered Content Pipeline Design — Architect and operate automated content systems that transform raw inputs (call transcripts, win/loss data, competitor signals, CRM data) into publish-ready sales assets including battle cards, objection handlers, one-pagers, value propositions, ROI calculators, value/ROI justification content, and pre-call briefings.

• Prompt Engineering & Agent Prototyping — Design, test, and optimize prompt libraries and AI agent workflows for GTM use cases such as competitive intelligence extraction, personalized outbound sequencing, dynamic battle card generation, and real-time objection handling support during sales calls.

• Competitive Intelligence Program — Build and maintain a continuous competitive monitoring system that tracks competitor pricing, features, messaging, customer reviews, and analyst coverage — translating insights into actionable sales tools within hours, not weeks. Ensure the competitive enablement program scales through automation rather than manual effort.

• Sales Enablement & Revenue Tooling — Create and manage the content arsenal that sales uses in-deal: pitch decks, demo scripts, talk tracks, persona-specific email templates, and competitive positioning guides. Partner with Product Marketing teams to align enablement materials with broader campaign themes and product narratives. Ensure assets are delivered inside the tools reps already use (CRM, email, meeting prep) rather than buried in a wiki.

• GTM Workflow Automation — Design and deploy multi-step automated workflows connecting Tekion’s CRM, marketing automation, enrichment tools, and analytics into a unified revenue engine — including sales trigger systems that react to buying signals (funding rounds, leadership changes, DMS contract expirations) with immediate, tailored follow-ups.

• Win/Loss Analysis & Market Intelligence — Run structured win/loss programs, buyer persona research, and voice-of-customer analysis. Extract patterns from deal data and call transcripts to continuously sharpen positioning, enablement content, and product feedback loops.

• Content-to-Revenue Attribution — Implement measurement frameworks that track which enablement assets and GTM programs actually influence win rates, deal velocity, and revenue — not just views and downloads. Use data to prioritize investment and retire underperforming content.

• Product Strategy & Roadmap Influence — Translate market intelligence, competitive analysis, win/loss patterns, and voice-of-customer insights into strategic recommendations that shape Tekion’s product roadmap and investment priorities. Serve as a bridge between GTM and Product/Engineering, ensuring that market reality informs build decisions.

• Team Leadership — Build, mentor, and scale a high-performing GTM product management team in Bangalore. Set the vision, operating cadence, and quality bar for all GTM outputs. Partner closely with Product, Engineering, Sales, Solutions, and Customer Success leadership across time zones.

Qualifications and Education Requirements

• At least 10 years of experience in product management/marketing, product strategy, sales enablement, or revenue operations within B2B SaaS

• Demonstrated experience building and operating AI-powered content pipelines, prompt engineering workflows, or AI agent prototypes for GTM functions. Hands-on comfort with LLMs, automation platforms, and structured prompt design is required — not theoretical knowledge.

• Exceptional written and verbal communication skills with the ability to translate complex technical capabilities into compelling, persona-specific narratives for diverse audiences (dealers, OEM executives, technology partners, end consumers).

• Strong analytical mindset with experience in content-to-revenue attribution, win/loss analysis, and data-driven GTM optimization.

• Experience influencing product strategy and roadmap priorities through structured market intelligence, competitive analysis, and customer insights.

• Experience leading and scaling distributed teams across geographies and time zones, with a bias toward building systems and playbooks that scale beyond individual effort.

• Bachelor’s degree in Product, Business, Marketing, Engineering, or a related field. MBA or advanced degree is a strong plus.

Preferred Skills

• Automotive or DMS software product expertise

• Experience building competitive intelligence programs that measurably improved win rates in enterprise sales cycles.

• Strong technical fluency with GTM tooling ecosystems including CRM platforms (Salesforce, HubSpot), marketing automation, project management tools (Jira, Confluence), and data enrichment platforms.

• Experience designing and deploying automated outbound and sales trigger workflows that connect multiple systems into cohesive revenue pipelines.

As a Lead Automation QA Engineer, you will champion world-class software quality by architecting and executing advanced, hands-on automation across complex business workflows. Though you may provide strategy and mentorship, your core focus will be as a technical individual contributor running sophisticated, E2E test automation—including data, API, mobile, and cross-platform business process validations spanning the full Lead-to-Cash cycle (Salesforce, Implementation, and NetSuite). You’ll also adopt AI-based test automation, including LLM and RAG system validations.

Responsibilities

Hands-On Test Automation:

• E2E Business Process Validation:
• Design and execute automated E2E tests spanning the full Lead-to-Cash cycle, including Salesforce, downstream processes, and financial handoff to NetSuite.
• Orchestrate multi-system test scenarios to validate data flows, business process logic, integrations, and error handling across Salesforce and NetSuite.
• Develop automated test scripts to ensure synchronization and data integrity between CRM, integrated system, and ERP for business-critical workflows.
• Data Validation:
• Write and automate SQL queries for multi-source data verification, ensuring consistent, accurate information across connected systems.
• Perform automated backend checks as opportunities progress through different pipeline stages from Lead to Revenue realization.
• API & Integration Testing:
• Build and maintain robust API validation suites using Rest Assured or similar frameworks, covering all RESTful interfaces connecting Salesforce, Integrated system, and NetSuite.
• Validate integration points and data exchange between systems.
• Mobile Test Automation:
• Create and execute automated mobile tests (Appium, Espresso, XCUITest) for mobile components of business processes (if applicable).
• AI-Driven QA:
• Leverage AI-powered test automation tools and approaches to optimize and expand test coverage.
• Design and manage automated validation of Large Language Model (LLM) or Retrieval-Augmented Generation (RAG)-enabled workflows.
• DevOps Integration:
• Integrate automated E2E and component tests into CI/CD pipelines for continuous validation.

QA Leadership:

• Mentor team members in test strategy for multi-system, E2E automation.
• Review test plans and ensure adoption of QA best practices for cross-platform business process validation.
• Collaborate with cross-functional teams (Salesforce admins, implementation engineers, ERP developers) to ensure quality across business processes.

Requirements

• 8+ years’ automation QA experience, with proven E2E validation across business process systems.
• Hands-on experience automating tests across Salesforce, middleware/implementation platforms, and ERP systems like NetSuite.
• Advanced SQL query skills for backend data validation and reconciliation.
• Strong experience with API automation (Rest Assured or similar) and automated UI testing tools.
• Experience with mobile automation frameworks (Appium, Espresso, XCUITest, etc.).
• Familiarity or experience with AI/LLM/RAG or willingness to learn and implement.
• Proficient with CI/CD, Agile workflows, and test automation best practices.
• Excellent analytical, troubleshooting, and communication skills.

Build and operate the production backbone that takes models from Applied Sciences (AS) and delivers reliable, low-latency ML services across Tekion’s DMS, CRM, Digital Retail, Service, Payments, and enterprise products. You’ll own pipelines, microservices, CI/CD, observability, and runtime reliability—working hand-in-hand with Applied Sciences and Product to turn ideas into measurable dealer and consumer impact. 

Why this Role Matters 

• Accelerate the rollout of LLM-powered and agent-driven features across Tekion products. 

• Enable agentic workflows that automate, reason, and interact on behalf of users and internal stakeholders. 

• Operationalize secure, compliant, and explainable LLM and agentic services at scale. 

• Convert Applied Sciences models into scalable, compliant, cost‑efficient production services. 

• Standardize how models are trained, validated, deployed, and monitored across Tekion products. 

• Power real-time, context-aware experiences by integrating batch/stream features, graph context, and online inference. 

What You’ll Do 

• Turn Applied Sciences prototype models (tabular, NLP/LLM, recommendation, forecasting) into fast, reliable services with well-defined API contracts. 

• Integrate with the LLM Gateway/MCP, prompt/config versioning. 

• Build and orchestrate CI/CD pipelines. 

• Review data science models; refactor and optimize code; containerize; deploy; version; and monitor for quality. 

• Collaborate with data scientists, data engineers, product managers, and architects to design enterprise systems. 

• Monitor, detect, and mitigate risks unique to LLMs and agentic systems. 

• Implement prompt management: versioning, A/B testing, guardrails, and dynamic orchestration based on feedback and metrics. 

• Design batch/stream pipelines (Airflow/Kubeflow, Spark/Flink, Kafka) and online features linked to our domain graph. 

• Build inference microservices (REST/gRPC) with schema versioning, structured outputs, and stringent p95 latency targets. 

• Manage the model/feature lifecycle: feature store strategy, model/agent registry, versioning, and lineage. 

• Instrument deep observability: traces/logs/metrics, data/feature drift, model performance, safety signals, and cost tracking. 

• Ensure real-time reliability: autoscaling, caching, circuit breakers, retries/fallbacks, and graceful degradation. 

• Develop templates/SDKs/CLIs, sandbox datasets, and documentation that make shipping ML the default path. 

Desired Skills and Experience 

• 6+ years in ML engineering/MLOps or backend/platform engineering with production ML. 

• Experience with LLMs, retrieval systems, vector stores, and graph/knowledge stores. 

• Strong software engineering fundamentals: Python plus one of Java/Go/Scala; API design; concurrency; testing. 

• Hands-on with orchestration frameworks and libraries (LangChain, LlamaIndex, OpenAI Function Calling, AgentKit, etc.). 

• Knowledge of agent architectures (reactive, planning, retrieval-augmented agents), and safe execution patterns. 

• Pipelines and data: Airflow/Kubeflow or similar; Spark/Flink; Kafka/Kinesis; strong data quality practices. 

• Microservices and runtime: Docker/Kubernetes, service meshes, REST/gRPC; performance and reliability engineering. 

• Model ops: experiment tracking, registries (e.g., MLflow), feature stores, A/B and shadow testing, drift detection. 

• Observability: OpenTelemetry/Prometheus/Grafana; debugging latency, tail behavior, and memory/CPU hotspots. 

• Cloud: AWS preferred (IAM, ECS/EKS, S3, RDS/DynamoDB, Step Functions/Lambda), with cost optimization experience. 

• Security/compliance: secrets management, RBAC/ABAC, PII handling, auditability. 

Preferred Mindset 

• Product-oriented: You measure success by dealer and consumer outcomes, not just technical metrics. 
• Reliability- and safety-first: You move fast with guardrails, rollbacks, and clear SLOs. 
• Systems thinker: You design for multi-tenant scale, portability, and cost efficiency
• Collaborative: You translate between Applied Sciences, Product, and the Data & AI Platform; you document and teach. 

Senior Software Engineer  -  Senior Machine Learning Platform

Why This Role Matters 

This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.  

What Makes This Opportunity Unique 

This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue.  You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models . 

Responsibilities 

• Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking. 

• Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics). 

• Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction. 

• Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning. 

• Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval. 

• Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows. 

• Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging. 

• Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance. 

• Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems. 

• Evolve the domain graph and entity resolution; build reliable data ingestion pipelines. 

• Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage. 

• Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost. 

• Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity. 

• Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls. 

• Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed. 

• Provide templates/CLIs, sandboxes, and docs so product teams can build and ship fast; mentor engineers and champion MLOps and AI safety best practices. 

Desired Skills & Experience 

• 5 - 7 years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems). 

• Production experience with Python plus one of Java/Scala/Go; microservices and API design. 

• MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka). 

• Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS. 

• Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows. 

• Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting. 

• Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry. 

• Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns. 

Preferred Mindset 

• Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs. 

• Thinks in systems - observability, fallback, access control are core, not afterthoughts. 

• Passionate about AI - enjoys enabling real-world LLM and agentic use cases. 

• Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation. 

• Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience. 

• Documentation and teaching: you make complex systems understandable; you uplevel teams. 

At Tekion, we’re building the only cloud -native platform that is transforming the automotive retail industry, leap frogging it into the future and providing unparalleled customer experience. We’re creating seamlessly integrated, elegant, and intuitive solutions built with cutting edge technology and powered by Big Data, Machine Learning (ML)/ AI and Internet of Things (Connected vehicle to connected devices). We’re harnessing passion, entrepreneurial spirit, deep industry expertise and the latest technologies to create something very special. We’re inventing new technology along the way to overcome barriers and solve big problems, all while having a blast doing it!

Core Responsibilities:
• Taking ownership of customer issues reported and seeing problems through to resolution
• Researching, diagnosing, troubleshooting, and identifying solutions to resolve system issues
• Following standard procedures for proper escalation of unresolved issues to the appropriate internal teams
• Ability to understand the application both functionally and technically
• Ref er to internal database or external resources to provide accurate tech solutions
• Ensure all issues are properly logged
• Prioritize and manage several open issues at one time
• Prepare accurate and timely reports
• Document technical knowledge in the form of notes and manuals

Required Skills:
• Experience as an Application/Product/Customer Support Engineer.
• Ability to learn and master employer-specific software
• Complex problem solving
• Written and verbal communication skills
• Ability to diagnose & address application issues
• Basic understanding of IoT and software - preferred not mandatory
• Candidate should be ready for rotational shift perks and benefits

Hands on experience on chats / Ticketing tools

Role Overview

As the Manager, Database Reliability Engineering (DBRE), you will lead a team of expert DBREs responsible for the health, performance, automation, and scalability of Tekion’s data backbone. Your focus will be on operational excellence, automation first, and continuous improvement of reliability and efficiency for our MongoDB, MySQL, and Elasticsearch clusters. You'll mentor your team, drive innovation in database automation (using Go or Python), and collaborate with product, engineering, and Cloud teams.

Key Responsibilities

• Team Leadership & Strategy: Build, mentor, and lead a high-performing Database Reliability Engineering team, fostering a culture of technical excellence, ownership, and collaboration.
• Database Operations & Reliability: Oversee the reliability, performance, availability, and scalability of MongoDB, MySQL, and Elasticsearch across multiple environments and regions.
• Automation & Engineering: Architect and drive automation for database provisioning, scaling, backups, upgrades, patching, and recovery using Go or Python. Establish standards for Infrastructure as Code and self-service database management.
• Monitoring & Incident Response: Implement and enhance automated monitoring, alerting, performance tuning, and self-healing solutions. Lead major incident response, postmortems, and continuous improvement.
• Collaboration: Partner with SRE, CloudOps, Security, and development teams to understand requirements, drive database reliability improvements, and support feature launches.
• Best Practices & Documentation: Define and enforce database reliability best practices, documentation, runbooks, and automation guides. Promote DBRE standards and knowledge sharing.
• Capacity & Cost Management: Monitor capacity, forecast growth, and work with engineering and product teams on cost-effective database scaling.
• Security & Compliance: Ensure security, compliance, and data protection in all database operations and automation solutions.

Required Qualifications

• Bachelor's or master’s in computer science, Engineering, or equivalent practical experience.
• 8+ years of experience in database engineering, DBRE, or SRE roles, with at least 3+ years in a technical/team leadership or management position.
• Deep hands-on experience managing and automating MongoDB, MySQL, and Elasticsearch (good to have).
• Strong programming skills in Go or Python for database automation and tooling.
• Proven ability to design and implement automation for database lifecycle operations, monitoring, and self-healing.
• Expertise in building, running, and scaling highly available database clusters (replication, sharding, backup/restore, performance tuning).
• Strong knowledge of database security, access controls, patching, and compliance practices.
• Excellent communication, incident leadership, and cross-functional collaboration skills.
• Track record of hiring, mentoring, and developing technical talent.
• Prior Manager experience is a must 

About Tekion 

Tekion is revolutionizing the automotive landscape through cloud-native platforms and intelligent products that power dealerships, OEMs, and partners worldwide. At Tekion, we’re passionate about building a future where technology simplifies, secures, and transforms the way vehicles are bought, sold, and serviced. Our collaborative and innovation-driven culture is fueled by a relentless commitment to security, reliability, and scalability as we accelerate our global footprint. 

Team Overview 

You will lead a high-impact Cloud Infrastructure Automation & SRE team within Cloud Engineering, focusing on building and operating secure, reliable, scalable, resilient & self-serve infrastructure platforms for all Tekion. In close partnership with our Cloud Security, Product Security, and Application teams, you’ll play a vital role in establishing and enforcing security best practices and automation-first principles across all layers of our cloud environments. 

Roles and Responsibilities 

Strategic Leadership: Lead and grow a team of talented cloud infrastructure engineers and SREs, providing technical and people leadership, mentorship, and career development. 

Infrastructure as Code: Drive the adoption and evolution of infrastructure automation (IaC) frameworks (such as Terraform, Pulumi, CRD) to enable consistent, auditable, and scalable platform management. 

Operational Excellence: Oversee the reliability, scalability, and performance of critical infrastructure services, ensuring high availability, rapid mitigation of incidents, and root cause analysis. 

Platform Enablement: Architect, build, and optimize cloud platforms (AWS/GCP/Azure), Kubernetes clusters, and CI/CD pipelines to support the needs of Tekion’s products and services. 

Security & Compliance: Partner with Cloud Security and Product Security teams to define, implement, and maintain robust security controls, policies, and monitoring across infrastructure and applications. 

Collaboration: Work cross-functionally with engineering, security, and application teams to balance operational needs, reliability, and security requirements in cloud environments. 

Incident Management: Establish, refine, and lead SRE practices for monitoring, alerting, on-call processes, incident response, and postmortems with a security-first approach. 

Automation & Tooling: Identify opportunities for automation across infrastructure, operations, and security workflows; enable self-service tooling and guardrails for developers. 

Continuous Improvement: Promote a culture of continuous learning, process optimization, and operational excellence, keeping up to date with emerging security and cloud technologies. 

Reporting & Metrics: Track and present key performance indicators (SLAs, SLOs, security posture, automation coverage, incident metrics) to stakeholders and executive leadership. 

What makes you relevant for this role? 

• Bachelor’s or master’s degree in computer science, Engineering, or related field OR equivalent practical experience. 

• 10+ years of experience in DevOps, Site Reliability Engineering, or Cloud Infrastructure roles, with at least 2+ years in technical leadership or management. 

• Hands-on expertise in cloud platforms (AWS/GCP/Azure), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, CloudFormation, Ansible, etc.). 

• Deep knowledge of cloud security best practices, cloud-native IAM, network security, secrets management, and compliance (SOC2, ISO 27001, etc.). 

• Proven experience driving operational reliability with SRE methodologies: monitoring, alerting, incident response, and post-incident analysis. 

• Track record of building and developing high-performing infrastructure or SRE teams. 

• Strong background in automation, CI/CD pipeline management, and system architecture at scale. 

• Excellent communication, stakeholder management, and cross-functional collaboration skills. 

• Security Integration: Embed security best practices across the software development lifecycle (SDLC), from code commit to deployment, ensuring "security by design."
• Collaboration: Work closely with Cloud Security and Product Security teams to develop and enforce security standards, policies, and frameworks.
• Infrastructure Hardening: Implement and automate security controls across AWS/Azure/GCP resources, Kubernetes clusters, containers, and other infrastructure components.
• CI/CD Security: Integrate automated security testing, static and dynamic analysis, and vulnerability scanning into CI/CD pipelines.
• Threat Detection & Incident Response: Develop and maintain monitoring/alerting for security incidents; participate in incident triage, root cause analysis, and response efforts.
• Tooling & Automation: Build and maintain automation for compliance checks, secrets management, access controls, patching, and audit logging.
• Governance: Ensure the team’s infrastructure and deployments are compliant with industry regulations and Tekion’s internal security requirements.
• Continuous Improvement: Stay current with emerging threats, vulnerabilities, and security best practices; propose and implement relevant improvements.
• Evangelism: Foster a security-first mindset within DevOps and engineering teams through knowledge sharing, documentation, and training.

• Bachelor’s degree in computer science, Engineering, or a related technical field, or equivalent practical experience.
• 3-7 years of experience in DevOps, Site Reliability Engineering, or Security Engineering roles.
• Solid hands-on experience with cloud infrastructure (AWS/GCP/Azure).
• Deep understanding of secure infrastructure design, identity and access management, network security, and related best practices.
• Experience securing container platforms (Docker, Kubernetes) and modern CI/CD toolchains (e.g., Jenkin, Tekton, GitHub actions, ArgoCD).
• Proficiency in at least one scripting/programming language (Python, Go, etc.) and strong automation skills.
• Practical familiarity with vulnerability management, scanning, threat modeling, and remediation workflows.
• Strong collaboration, communication, and documentation abilities.

• Opportunity to work with some of the smartest minds to solve complex security challenges at scale.
• Impactful role in shaping and securing a global, cloud-native & AI driven platform.
• Innovative, collaborative, and fast-paced culture.

Summary:

The Senior Manager, DevOps leads the strategic direction and execution of Tekion’s DevOps and infrastructure automation initiatives. This role oversees global teams responsible for platform reliability, CI/CD, observability, and cloud operations. It focuses on scaling infrastructure, improving deployment velocity, and ensuring operational excellence across the engineering organization.

Duties & Responsibilities:

• Defines and executes the DevOps roadmap, aligning automation, reliability, and scalability goals with organizational priorities.
• Manages and scales teams responsible for cloud infrastructure, CI/CD pipelines, monitoring, and SRE practices.
• Partners with Engineering, Product, and Security leadership to align on architectural standards and operational policies.
• Leads modernization initiatives including infrastructure as code, containerization, and service mesh adoption.
• Establishes SLAs, incident response processes, and performance metrics for platform health and resilience.
• Oversees budget planning, vendor evaluation, and tooling strategy to ensure efficiency and scalability.
• Mentors DevOps managers and senior engineers, fostering a culture of accountability, innovation, and continuous improvement.

Job Complexity:

Leads global, cross-functional infrastructure programs with high strategic value. Balances short-term platform demands with long-term architectural and operational vision.

Required Supervision:

Operates with complete autonomy. Responsible for team leadership, budget oversight, and cross-department alignment with executive stakeholders.

Expertise:

Demonstrates deep expertise in DevOps, infrastructure automation, cloud architecture, and site reliability engineering. Influences enterprise-wide technical decisions and leads transformation across engineering operations.

Qualifications:

• 10+ years of experience in DevOps, cloud engineering, or infrastructure leadership roles
• 5+ years in technical leadership or management, including global team oversight
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• Strong expertise in AWS, GCP, or Azure and infrastructure-as-code tools like Terraform, CloudFormation, or Pulumi
• Proficiency in CI/CD pipeline tooling (e.g., Jenkins, GitLab CI/CD, ArgoCD) and observability stacks (e.g., Prometheus, Grafana, ELK)
• Experience implementing SRE practices, reliability metrics, and service-level objectives
• Excellent leadership, strategic thinking, and cross-functional collaboration skills

This role is on site in our Pleasanton, California office

The People Business Generalist II provides broad support across the People function, assisting with employee relations, policy administration, onboarding, and HR processes. This role supports People Business Partners and People leadership in delivering consistent programs and ensuring compliance with company policies and employment regulations. The Senior Generalist contributes to process improvements, employee engagement initiatives, and day-to-day operations that enable a positive employee experience.

Duties and Responsibilities 

• ​Support People Business Partners in administering HR programs, policies, and processes. 

• ​Provide guidance to employees on HR procedures, benefits, and policies, escalating complex issues as needed. 

• ​Assist with employee relations cases, documentation, and investigations under the direction of senior staff. 

• ​Coordinate onboarding, orientation, and offboarding activities. 

• ​Partner with Payroll, Total Rewards, and Talent Acquisition to ensure smooth execution of people processes. 

• ​Maintain employee records and ensure compliance with data privacy, labor law, and reporting requirements. 

• ​Contribute to HR communications, trainings, and initiatives that strengthen engagement and culture. 

• ​Support workforce reporting and analytics by preparing reports and ensuring data accuracy. 

• ​Participate in process improvement projects to enhance efficiency and consistency. 

• ​Serve as a resource to employees and managers, providing day-to-day operational HR support. 

• ​Job Complexity: Handles tasks of moderate scope within established policies and practices. Requires problem-solving and judgment to address employee issues and support business needs. 

• ​Required Supervision: Operates under moderate supervision. Work is reviewed for accuracy, compliance, and alignment with HR practices. 

• ​Expertise: Demonstrates solid knowledge of HR policies, processes, and compliance requirements. Applies experience to resolve issues and recommend improvements to programs and workflows. 

Qualifications:

• ​3–5 years of experience in Human Resources, with exposure to generalist or business partner functions. 

• ​Knowledge of employment laws, HR operations, and compliance requirements. 

• ​Experience with HRIS systems (e.g., Workday, SuccessFactors, or similar). 

• ​Strong interpersonal and communication skills with ability to support employees and managers effectively. 

• ​Highly organized with strong attention to detail and documentation skills. 

• ​Bachelor’s degree in Human Resources, Business, or related field (or equivalent experience). 

No Sponsorship for this role

Perks and Benefits

• Competitive compensation and generous stock options   
• 100% employer-paid top-of-the-line medical, dental and vision coverage  
• Great benefits including unlimited PTO, parental leave and free snacks and beverages  
• The opportunity to work with some of the brightest minds from Silicon Valley’s most dominant and successful companies   
• Be part of an early stage, hyper-growth start-up with the opportunity to grow and prosper    
• Work on the latest and coolest technologies – everything is home-grown and built ground-up   
• A dynamic work environment with a strong sense of community and collaboration   
• The open and transparent culture that encourages innovation, rewards performance and discourages hierarchy   
• Exciting opportunities for career growth and development   

Current Tekion Employees – Please apply via Greenhouse Internal Job Board

Job Description

We are looking for a Senior QA Engineer / SDET to drive quality across our AI-native backend services and platform systems. You will own test automation strategy, release quality gates, and quality engineering practices — working closely with backend engineers (Java + Python), product managers, and platform architects. This role focuses heavily on validating hexagonal architecture adapters, Kafka event pipelines, multi-database correctness, and AI scoring model outputs.

Key Responsibilities

• Design, build, and scale automated test frameworks for Java microservices built on hexagonal architecture — with distinct test strategies for the domain core, adapter layers (MongoDB, PostgreSQL, Cosmos DB, Kafka, Elasticsearch, Redis/Aerospike), and external integrations.

• Develop and maintain comprehensive test suites: functional, integration (Testcontainers), regression, contract, and end-to-end across all adapter implementations.

• Validate Kafka event pipelines: consumer behavior, event ordering, idempotency, poison pill handling, and dead-letter queue processing. 

• Validate MongoDB document integrity, PostgreSQL relational consistency, Cosmos DB partition correctness, and Elasticsearch index accuracy across service boundaries.

• Design and execute golden dataset test scenarios — seeding realistic dealer and customer data to validate scoring accuracy, suppression correctness, and attribution logic.

• Validate Python-based AI/ML service outputs: scoring model results, recommendation correctness, and LLM response safety gates. 

• Collaborate closely with backend engineers and architects to embed quality early in hexagonal domain design and adapter implementation.

• Drive testability improvements by influencing API design, logging, observability, and error handling.

• Own release quality and go/no-go decisions by defining and tracking quality gates in CI/CD pipelines.

• Define and monitor quality metrics: test coverage, defect leakage, flakiness, MTTR, and automation ROI. 

• Lead root cause analysis for production issues and drive preventive measures.

• Mentor junior QA/SDET engineers and set best practices across teams.

Skills & Experience

• 6+ years of hands-on experience in QA Engineering, Test Automation, or SDET roles.

• Strong test automation expertise using modern Java-based frameworks; working knowledge of Python test frameworks (pytest) is a strong plus.

• Deep experience testing distributed microservices, REST APIs, and Kafka-based architectures.

• Experience with Testcontainers for integration testing across MongoDB, PostgreSQL, Kafka, and Elasticsearch locally.

• Strong understanding of Kafka testing: consumer behavior, event ordering guarantees, and idempotency validation.

• Experience with MongoDB and PostgreSQL testing patterns: data integrity, schema migration validation, multi-tenant isolation verification.

• Familiarity with Elasticsearch test strategies: index correctness, relevance, and query result validation.

• Experience with CI/CD pipeline integration (GitHub Actions, Jenkins, or equivalent).

• Familiarity with containerized environments (Docker, Kubernetes).

• Excellent problem-solving, communication, and collaboration skills.

Preferred Skills

• Experience validating AI/ML model outputs and scoring pipeline correctness.

• Exposure to contract testing (Pact or similar) and service virtualization for hexagonal adapter boundaries.

• Experience with performance, load, and chaos testing (JMeter, Gatling, k6) against Elasticsearch and Kafka.

• Background in DevOps or Site Reliability Engineering practices.

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. 

We are seeking a Senior Product Manager to join the Tekion Service Product Team in Pleasanton. In this role, you will drive the application of AI/ML across the entire value chain of the Service Department – from Scheduling to Invoicing – for dealership users who repair vehicles. You will own high-visibility, critical capabilities that reduce manual steps and review time, empowering BDC Agents, Technicians, and Service Advisors to focus on their core expertise.

You will work closely with ML/AI Engineers, Design, Data, GTM, and Customer Success teams to define strategy, drive execution, and deliver measurable business impact. This role is ideal for an AI-first product leader who thrives in complex technical domains, brings strong customer empathy, and can translate cutting-edge AI/ML capabilities into practical dealer workflows in a fast-paced SaaS environment. Our team, known internally as the JiraHunters, values precision, attention to detail, and a relentless focus on solving complex problems. You will also extend the benefits of Service innovations to external vendor tools via Automotive Partner Cloud (APC).

Key Responsibilities

Own Product Strategy & Outcomes
• Own the end-to-end product lifecycle for AI/ML-powered Service capabilities across Scheduling, Repair Order Management, Parts Operations, Technician Workflows, and Invoicing
• Define and evolve the product strategy and roadmap for Service workflows, aligned with company goals, dealer needs, and AI/ML innovation

Drive AI/ML Product Innovation
• Partner with ML/AI Engineers to identify, prioritize, and productize AI/ML use cases that deliver tangible value across the Service value chain
• Translate technical AI/ML capabilities into intuitive, workflow-embedded features for BDC Agents, Service Advisors, Technicians, and Parts Counterpersons

Drive Business Impact
• Drive adoption, efficiency gains, and customer satisfaction for Service AI/ML products, with clear accountability for usage, time savings, and workflow improvements
• Partner with GTM and Customer Success teams to ensure features translate into measurable dealer value and operational excellence

Extend Value via APC Integration
• Drive integration and value extension to external vendor tools through Automotive Partner Cloud (APC), enabling seamless ecosystem connectivity
• Collaborate with Partner Engineering teams to ensure Service innovations benefit the broader automotive ecosystem

Customer-Centric Product Development
• Act as the voice of the customer, deeply understanding dealership service workflows, technician pain points, scheduling challenges, and parts operations
• Continuously gather and synthesize customer feedback, usage data, and field insights to inform product decisions and AI/ML model refinement

Data-Driven Decision Making
• Define success metrics and KPIs for AI/ML product areas, including accuracy, adoption, time savings, and workflow efficiency
• Use data to prioritize investments, evaluate model performance, and guide post-launch iteration

Cross-Functional Leadership
• Lead complex AI/ML initiatives across Engineering (ML/AI Engineers), Design, Data Science, Marketing, Customer Success, and Partner Engineering
• Align stakeholders across product verticals to ensure roadmap coherence, platform consistency, and responsible AI deployment

Platform & Scale Thinking
• Design AI/ML solutions that scale across dealership sizes, service volumes, and regional requirements
• Balance innovation with reliability, ensuring solutions are explainable, configurable, and sustainable

Execution with Velocity
• Enable teams to move fast without breaking things – clarifying priorities, managing dependencies, and making informed trade-offs to hit both short-term goals and long-term AI/ML bets

Requirements
• 7+ years of Product Management experience owning customer-facing SaaS products
• 2+ years of hands-on AI/ML product management experience (building ML-powered features, working with data scientists/ML engineers, understanding model lifecycle)
• Strong system design and product architecture skills – ability to design scalable, extensible technical solutions
• Experience leading distributed onshore and offshore teams
• AI-first thought process and mindset – comfort with ambiguity, rapid learning, and translating technical AI/ML concepts into product value
• Strong business acumen with ability to operate in complex, multi-stakeholder environments
• Proven track record of driving product adoption and measurable business impact
• Excellent written and verbal communication
• Experience partnering closely with ML/AI Engineers, Design, Data Science, and GTM teams
• Strong prioritization skills and ability to align stakeholders across functions
• Hands-on product leader with strong judgment and bias for action
• End-to-end ownership of the product lifecycle, including post-launch iteration and model performance monitoring

Preferred Skills
• Experience in the automotive service/aftermarket industry or with dealer/OEM service workflows
• Understanding of automotive repair operations, diagnostic workflows, scheduling systems, or parts catalog systems
• Experience with LLMs, NLP, or recommendation systems
• Familiarity with responsible AI principles and model explainability
• Background in operations research, process optimization, or workflow automation
• Experience with platform integrations and API-driven ecosystems (Open AI and/or MCP experience a plus

Sponsorship
Please note that visa sponsorship is not available for this position.

Perks and Benefits
Competitive compensation and generous stock options  
100% employer-paid top-of-the-line medical, dental and vision coverage 
Great benefits including unlimited PTO, parental leave and free snacks and beverages 
The opportunity to work with some of the brightest minds from Silicon Valley’s most dominant and successful companies  
Be part of an early stage, hyper-growth start-up with the opportunity to grow and prosper   
Work on the latest and coolest technologies – everything is home-grown and built ground-up  
A dynamic work environment with a strong sense of community and collaboration  
The open and transparent culture that encourages innovation, rewards performance and discourages hierarchy  
Exciting opportunities for career growth and development  

Current Tekion Employees – Please apply via Greenhouse Internal Job Board

Job Description-

Key Responsibilities-

At Tekion, we’re building the only cloud -native platform that is transforming the automotive retail industry, leap frogging it into the future and providing unparalleled customer experience. We’re creating seamlessly integrated, elegant, and intuitive solutions built with cutting edge technology and powered by Big Data, Machine Learning (ML)/ AI and Internet of Things (Connected vehicle to connected devices). We’re harnessing passion, entrepreneurial spirit, deep industry expertise and the latest technologies to create something very special. We’re inventing new technology along the way to overcome barriers and solve big problems, all while having a blast doing it!

Core Responsibilities:
• Taking ownership of customer issues reported and seeing problems through to resolution
• Researching, diagnosing, troubleshooting, and identifying solutions to resolve system issues
• Following standard procedures for proper escalation of unresolved issues to the appropriate internal teams
• Ability to understand the application both functionally and technically
• Ref er to internal database or external resources to provide accurate tech solutions
• Ensure all issues are properly logged
• Prioritize and manage several open issues at one time
• Prepare accurate and timely reports
• Document technical knowledge in the form of notes and manuals

Required Skills:
• Experience as an Application/Product/Customer Support Engineer.
• Ability to learn and master employer-specific software
• Complex problem solving
• Written and verbal communication skills
• Ability to diagnose & address application issues
• Basic understanding of IoT and software - preferred not mandatory
• Candidate should be ready for rotational shift perks and benefits

Hands on experience on chats / Ticketing tools

Tekion seeks an exceptionally talented and seasoned Staff / Lead Applied Scientist to architect the future of our AI-driven solutions. The incumbent will assume a pivotal role in our organization, providing the strategic and technical stewardship necessary to translate cutting-edge research into tangible business value. The ideal candidate is a first-principles thinker, adept at navigating ambiguity, and possesses the intellectual curiosity to formulate and solve complex, unstructured problems. This is seminal opportunity to influence the trajectory of our AI strategy and deliver transformative solutions at an enterprise scale.  
 
Key Responsibilities 

• Strategic Direction: Architect and execute the strategic vision for applied AI and Machine Learning within Tekion, ensuring rigorous alignment with overarching business objectives and industry challenges. 

• Innovation & Research Leadership: Steer the R&D roadmap by identifying and capitalizing on emergent technological opportunities. Drive innovation through the ideation and implementation of novel, scientifically-grounded solutions. 

• Stakeholder Alignment: Serve as the principal technical liaison between the R&D organization and executive stakeholders, ensuring technical strategies are congruent with business imperatives. 

• Cross-Functional Execution: Lead collaborations with product, engineering, and business units to define, develop, and integrate sophisticated machine learning systems into core products and services. 

• Scientific Contribution: Contribute to the broader scientific community through publications in premier academic conferences and journals, enhancing Tekion's position as a center of innovation. 

• Mentorship & Talent Development: Mentor and cultivate a culture of scientific rigor and innovation among applied scientists, guiding project execution and fostering professional growth. 

• Impact Quantification: Establish robust frameworks for model evaluation and performance measurement. Quantify and articulate the business impact of machine learning initiatives to executive leadership. 

• Governance & Best Practices: Institute and govern best practices for the entire machine learning lifecycle, including model development, validation, deployment, and monitoring, while championing ethical and responsible AI 

Core Competencies & Technical Expertise 

            The successful candidate will demonstrate mastery in the following areas: 

• Foundational Expertise: Deep, theoretical and practical expertise in Machine Learning, Deep Learning, Causal Inference, and Explainable AI. 

• Statistical Rigor: Advanced proficiency in applied probability and statistics to derive and validate insights from complex, high-dimensional data. 
   
   

Deep Learning: 

• Expert-level proficiency with frameworks such as TensorFlow, Keras, and PyTorch. 

• Extensive experience implementing advanced neural network architectures. 

• Practical application of Computer Vision (e.g., OpenCV) and Natural Language Processing (e.g.,spaCy) methodologies. 

• Large Language Models (LLMs): Demonstrated experience with Large Language Models, including advanced prompt engineering, fine-tuning, and deployment for specific business applications. 

Technical Proficiencies: 

• Advanced programming skills in Python and mastery of SQL. Familiarity with distributed computing frameworks (e.g., Spark) is advantageous. 

• Proficiency with cloud computing platforms (GCP, Azure, AWS). 

• Expertise in experimental design (A/B testing, causal inference). 

• Proficient in version control systems (Git). 

Required Qualifications 

• An advanced degree (Ph.D. or M.S. preferred) in a quantitative discipline such as Computer Science, Statistics, Operations Research, Physics, or a related field. 

• A minimum of 7 - 9 years of post-academic experience in applied science or quantitative research roles, with a demonstrable history of translating complex models into tangible business value. 

• A distinguished track record of solving difficult, business-critical problems using a scientific, data-driven approach. 

• Proven experience in programming, data manipulation, and building models in a business context. 

• Sophisticated data visualization and presentation skills, with the ability to distill complex analytical results into clear, actionable insights for diverse audiences. 
   

Ideal Candidate Profile 
 

• A profound intellectual curiosity and a systematic, first-principles approach to problem-solving. 

• Domain expertise in the automotive industry or related fields such as finance or enterprise SaaS is highly desirable. 

• Experience in specialized areas such as Recommendation Engines or advanced NLP is preferred. 

• Exceptional communication and presentation capabilities, with a proven ability to distill complex technical concepts for executive-level audiences. 

• A demonstrated ability to work collaboratively and effectively lead initiatives across multi-disciplinary teams. 

• A commitment to continuous personal and team development within a collaborative, high-performance culture. 

Perks and Benefits

• Competitive compensation 

• Generous stock options 

• Medical Insurance coverage 

• Work with some of the brightest minds from Silicon Valley’s most dominant and successful companies 

Why This Role Matters
We're looking for a Data Platform Engineer with deep systems engineering expertise and a passion for building reusable infrastructure. You'll help
architect and deliver the internal frameworks that power data ingestion, transformation, observability, and self-serve analytics across the company. Your work will be central to enabling scalable, multi-tenant ingestion pipelines (including CDC via Debezium), serving layers built on Trino, and robust tooling that lets teams move fast without compromising on data quality or platform
health.

What Makes This Opportunity Unique
Build platform tooling for multi-region, multi-tenant data infrastructure using modern open-source and cloud-native technologies.
Lead engineering efforts around CDC pipelines using Debezium, enabling reliable change capture from application databases.
Shape the developer experience for data engineers, from ingestion to publishing and consumption, with metadata-aware automation.
Drive the evolution of data serving infrastructure using Trino and open table formats like Delta Lake or Iceberg.
Work at the intersection of data engineering, infrastructure, and platform strategy, directly influencing core architectural decisions.

Responsibilities

• Design and implement foundational frameworks for ingestion, orchestration, schema validation, and metadata management.
• Build robust, scalable pipelines for Change Data Capture (CDC) using Debezium integrated with Kafka and Spark.
• Develop internal tooling to standardize and accelerate data ingestion, transformation, and publishing workflows.
• Optimize data serving layers powered by Trino, including metadata syncing, security filtering, and performance tuning.
• Partner with SRE and Infra teams to build autoscaling, self-healing, and cost-optimized Spark jobs on AWS EMR.
• Implement observability features — logs, metrics, alerts — for critical platform services and data pipelines.
• Define and enforce standards for schema evolution, lineage tracking, and data governance.
• Automate platform operations using CI/CD pipelines, metadata-driven configurations, and infrastructure-as-code.

Desired Skills & Experience

• 7+–12 years of experience in data platform, infrastructure, or backend systems engineering roles.
• Strong systems engineering fundamentals — distributed systems, fault tolerance, performance tuning.
• Expertise in Apache Spark with production experience on AWS EMR.
• Experience building or managing CDC pipelines using tools like Debezium, Kafka Connect, or custom connectors. Familiarity with streaming systems such as Kafka, Kinesis, or Flink.
• Experience serving data using Trino or Presto in a multi-tenant environment.
• Proficiency in Python, Java or Scala, and Unix/Linux systems.
• Strong understanding of open table formats like Delta Lake or Apache Iceberg.
• Exposure to infrastructure as code (Terraform, CloudFormation) and CI/CD automation.

Preferred Mindset

• Platform-first thinker — designs systems for scale, abstraction, and reusability.
• Builder's bias — values automation, clean interfaces, and measurable SLAs.Deep collaborator — partners well across Data, Infra, and Engineering teams.
• Operational discipline — understands the impact of monitoring, logging,and reliability.

Why This Role Matters
We're looking for a Data Platform Engineer with deep systems engineering expertise and a passion for building reusable infrastructure. You'll help
architect and deliver the internal frameworks that power data ingestion, transformation, observability, and self-serve analytics across the company. Your work will be central to enabling scalable, multi-tenant ingestion pipelines (including CDC via Debezium), serving layers built on Trino, and robust tooling that lets teams move fast without compromising on data quality or platform
health.

What Makes This Opportunity Unique
Build platform tooling for multi-region, multi-tenant data infrastructure using modern open-source and cloud-native technologies.
Lead engineering efforts around CDC pipelines using Debezium, enabling reliable change capture from application databases.
Shape the developer experience for data engineers, from ingestion to publishing and consumption, with metadata-aware automation.
Drive the evolution of data serving infrastructure using Trino and open table formats like Delta Lake or Iceberg.
Work at the intersection of data engineering, infrastructure, and platform strategy, directly influencing core architectural decisions.

Responsibilities

• Design and implement foundational frameworks for ingestion, orchestration, schema validation, and metadata management.
• Build robust, scalable pipelines for Change Data Capture (CDC) using Debezium integrated with Kafka and Spark.
• Optimize data serving layers powered by Trino, including metadata syncing, security filtering, and performance tuning.
• Partner with SRE and Infra teams to build autoscaling, self-healing, and cost-optimized Spark jobs on AWS EMR.
• Implement observability features — logs, metrics, alerts — for critical platform services and data pipelines.
• Define and enforce standards for schema evolution, lineage tracking, and data governance.
• Automate platform operations using CI/CD pipelines, metadata-driven configurations, and infrastructure-as-code.

Desired Skills & Experience

• 5-7 years of experience in data platform, infrastructure, or backend systems engineering roles.
• Strong systems engineering fundamentals — distributed systems, fault tolerance, performance tuning.
• Expertise in Apache Spark with production experience on AWS EMR.
• Experience building or managing CDC pipelines using tools like Debezium, Kafka Connect, or custom connectors. Familiarity with streaming systems such as Kafka, Kinesis, or Flink.
• Experience serving data using Trino or Presto in a multi-tenant environment.
• Proficiency in Python, Java or Scala, and Unix/Linux systems.
• Strong understanding of open table formats like Delta Lake or Apache Iceberg.
• Exposure to infrastructure as code (Terraform, CloudFormation) and CI/CD automation.

Why This Role Matters 

This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.  

What Makes This Opportunity Unique 

This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue.  You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models . 

Responsibilities 

• Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking. 

• Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics). 

• Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction. 

• Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning. 

• Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval. 

• Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows. 

• Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging. 

• Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance. 

• Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems. 

• Evolve the domain graph and entity resolution; build reliable data ingestion pipelines. 

• Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage. 

• Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost. 

• Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity. 

• Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls. 

• Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed. 

Desired Skills & Experience 

• 4 - 5+ years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems). 

• Production experience with Python plus one of Java/Scala/Go; microservices and API design. 

• MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka). 

• Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS. 

• Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows. 

• Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting. 

• Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry. 

• Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns. 

Preferred Mindset 

• Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs. 

• Thinks in systems - observability, fallback, access control are core, not afterthoughts. 

• Passionate about AI - enjoys enabling real-world LLM and agentic use cases. 

• Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation. 

• Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience. 

Why This Role Matters 

This role powers Tekion’s AI‑native, end‑to‑end automotive platform by turning unified dealership data across DMS, CRM, Digital Retail, Service, and Payments into real‑time intelligence. You’ll operationalize a graph‑based contextual ecosystem so agents can retrieve the right context, enforce policy, and personalize experiences that drive measurable dealer outcomes. You’ll also build the resilient control layer - MCP and the LLM Gateway - that enables safe, cost‑efficient, multi‑provider LLM usage. Finally, you’ll define the standards for building, evaluating, deploying, and governing agentic systems so product teams can ship AI features quickly, safely, and at scale. In addition to enabling agentic systems powered by LLMs, this role also drives building the platform for classical ML models driving optimization across dealership operations.  

What Makes This Opportunity Unique 

This role offers direct, measurable impact on dealer outcomes and consumer experiences across Tekion’s Automotive Retail Cloud and Automotive Enterprise Cloud, with end‑to‑end ownership of an LLM control plane and gateway that serve multi‑tenant workloads under SLAs and, quality and cost guardrails. You’ll leverage a rich vertical dataset and domain graph spanning sales, service, parts, F&I, accounting, and consumer touchpoints to power context‑aware agents and retrieval‑augmented generation. You’ll also shape core levers - agent orchestration patterns, evaluation frameworks, and safety guardrails - so improvements in latency, reliability, evaluation quality, and safety translate into dealer KPIs like upsell, cycle time, CSAT, and service revenue.  You’ll also maintain and enhance the platform to support classical supervised and unsupervised ML models . 

Responsibilities 

• Build and run the LLM control plane/gateway: smart routing, rate limits/quotas, failover, and token/cost tracking. 

• Ship a unified API and SDKs (REST/gRPC) with normalized schemas, structured outputs, caching, and full observability (traces/logs/metrics). 

• Enforce safety and privacy by default: content filtering, prompt/response validation, and PII redaction. 

• Enable multi‑model, multi‑vendor use LLMs with automated canarying and versioning. 

• Own the agent runtime: tool registry, permissions, function calling, grounding, and retrieval. 

• Design orchestration patterns (sequential, planner‑executor, streaming) and manage agent state and long‑running workflows. 

• Enabling platform components for training and scoring pipelines for classical ML (e.g., XGBoost/LightGBM/linear/trees) and deep models; standardize experiment tracking and packaging. 

• Create components to Monitor model and data drift, retraining and tuning models as needed to maintain accuracy and relevance. 

• Add human‑in‑the‑loop review and safe‑actioning before agents touch dealer systems. 

• Evolve the domain graph and entity resolution; build reliable data ingestion pipelines. 

• Serve real‑time context to agents (profiles, inventory, pricing, appointments, service history) with access controls and lineage. 

• Power retrieval with hybrid search (graph + vector + keyword) and smart cache/TTL to balance accuracy, latency, and cost. 

• Run continuous offline/online evaluations for quality, factuality, bias, and safety for the platform sanity. 

• Define SLOs for latency (p50/p95), uptime, and cost view capabilities; enable autoscaling and spend controls. 

• Maintain a model/agent registry, versioning, approvals, audit trails, and reproducibility; support compliances where needed. 

• Provide templates/CLIs, sandboxes, and docs so product teams can build and ship fast; mentor engineers and champion MLOps and AI safety best practices. 

Desired Skills & Experience 

• 5+ - 8+ years building large‑scale data/ML or platform systems; strong software engineering fundamentals (Abstracted API design, concurrency, distributed systems). 

• Production experience with Python plus one of Java/Scala/Go; microservices and API design. 

• MLOps at scale: pipelines (Airflow/Kubeflow), tracking/registry (MLflow), CI/CD for models, A/B testing, shadow/canary, and online feature computation (Spark/Flink/Kafka). 

• Cloud and containers: AWS (preferred), plus Docker/Kubernetes; performance, reliability, and cost engineering in multi‑tenant SaaS. 

• Practical ML knowledge (feature engineering, training, evaluation, drift detection); experience deploying models that power user‑facing workflows. 

• Built or operated an LLM gateway/control plane: provider adapters, routing/policies, caching, quota/rate‑limit, cost and token accounting. 

• Agentic systems: tool use/function calling, orchestration frameworks, human‑in‑the‑loop, safety/guardrails, and online evaluation/telemetry. 

• Graph and retrieval: knowledge graphs (e.g., Neo4j/Neptune/TigerGraph), GraphQL, vector search (e.g., pgvector/Qdrant/Milvus), hybrid retrieval patterns. 

Preferred Mindset 

• Platform‑as‑product: obsess over developer experience, paved roads, and clear SLAs. 

• Thinks in systems - observability, fallback, access control are core, not afterthoughts. 

• Passionate about AI - enjoys enabling real-world LLM and agentic use cases. 

• Cost‑aware builder: you treat latency and dollars as first‑class metrics and design for graceful degradation. 

• Vendor‑agnostic thinker: choose the right model/provider per use case; build for portability and resilience. 

Role Summary

The Principal, Solutions Architect — Enterprise Sales is Tekion’s most senior domain authority in enterprise sales engagements, serving as the decisive voice of expertise that gives large dealer group executives the confidence to commit to the Tekion ARC platform. You partner with enterprise Account Executives as a peer and strategic advisor — not in a support capacity, but as a principal-level leader who shapes how Tekion approaches and wins the most complex, highest-value opportunities.

This role is defined first and foremost by deep, earned credibility. You have spent years inside or alongside large dealership operations and understand — in genuine detail — how a multi-rooftop dealer group runs: how the Controller thinks about a chart of accounts migration, how a Fixed Ops Director evaluates labor guide integrations, how a CFO stress-tests a platform transition. That operational depth is what separates this role from a traditional pre-sales function, and it is what makes you trusted rather than merely tolerated in executive conversations.

You bring fluency across every major dimension of a DMS and dealer operations — fixed ops, variable ops, accounting, F&I, parts, service, CRM, and retail — and the executive presence to engage at the VP and C-suite level with authority. Target customers include large publicly traded and privately held dealer groups (e.g., Asbury, Lithia, Penske, Group 1, AutoNation) as well as high-growth mid-market groups where Tekion’s platform can deliver transformative operational value.

Key Responsibilities

Enterprise Sales Engagement & Advisory

• Partner with enterprise Account Executives as a principal-level peer and domain advisor throughout the sales cycle — from discovery and qualification through proposal, executive alignment, and close.
• Lead solution discovery sessions with prospective dealer group executives, developing a thorough understanding of their current DMS environment, operational structure, pain points, and strategic priorities.
• Design and deliver tailored solution presentations and platform demonstrations that connect Tekion ARC capabilities directly to the prospect’s operational realities — grounded in how their business actually works, not generic product pitches.
• Navigate complex, multi-stakeholder evaluations involving dealer group executive leadership (CEO, CFO, COO, CIO), department heads (Controller, Fixed Ops Director, F&I Director), and IT decision-makers, building independent credibility with each audience.
• Travel 40–60% to engage prospects onsite, lead executive briefings, and be present for the moments that determine deal outcomes.

DMS & Dealer Operations Domain Expertise

• Serve as Tekion’s deepest subject matter expert on DMS platforms and end-to-end dealer operations, covering fixed operations (service, parts, repair), variable operations (retail, F&I, desking), accounting and financial reporting, and CRM.
• Understand the full operational footprint of large, multi-rooftop dealer groups — including how processes, reporting hierarchies, and system dependencies scale across dozens or hundreds of rooftops.
• Articulate the operational and financial impact of a DMS migration credibly, including data conversion, workflow retraining, integration dependencies, and go-live risk management.
• Stay current on competitive DMS platforms (CDK, Reynolds & Reynolds, DealerSocket) — understanding their strengths, weaknesses, and the switching costs and objections they create.

Executive-Level Credibility & Trusted Advisor Positioning

• Establish immediate and durable credibility with dealer group executives by demonstrating firsthand knowledge of how large dealership operations work — not product features in the abstract, but the operational decisions, tradeoffs, and pressures that define their day-to-day reality.
• Lead executive discovery conversations that go beyond the immediate platform evaluation to uncover strategic priorities: growth and acquisition plans, margin improvement goals, talent and process challenges, and long-term digital transformation ambitions.
• Position Tekion as a long-term strategic partner, not a software vendor — advising prospective customers on industry best practices, operational benchmarks, and how the ARC platform can serve as a foundational capability for their next phase of growth.
• Handle the toughest objections — on platform maturity, migration risk, competitive alternatives, and organizational change — with transparency, data, and the quiet confidence of someone who has seen these transitions succeed.
• Be the person in the room that dealer group executives want to call back. Your credibility extends the relationship beyond the sales cycle.

Solution Design & Technical Scoping

• Design and document tailored solution architectures for complex, multi-rooftop implementations, including integration requirements, data migration scope, phasing strategies, and third-party connectivity.
• Identify and evaluate solution tradeoffs, clearly communicating implications for timeline, cost, and operational risk to both the prospect and internal Tekion stakeholders.
• Collaborate with Tekion’s product and implementation teams to validate feasibility of proposed solutions and establish realistic delivery commitments.
• Produce high-quality deal artifacts including solution overviews, scope summaries, integration maps, and RFP responses.

Internal Alignment & Feedback Loop

• Act as a direct feedback channel from large dealer group prospects to Tekion’s product organization — surfacing gaps, competitive pressures, and feature requests that influence roadmap prioritization.
• Collaborate with Sales, Product, and Implementation leadership to continuously refine Tekion’s enterprise go-to-market approach, demo environments, and competitive positioning materials.
• Contribute to a growing library of enterprise sales assets including reference architectures, objection handling guides, and case studies.

Skills & Experience

Required

• 10+ years in solutions architecture, domain consulting, or senior technical leadership roles, with substantial experience in automotive dealer management systems or dealership operations technology at the enterprise level.
• Comprehensive, hands-on knowledge of DMS platforms and dealership operations across all major departments: fixed ops (service, parts, repair), variable ops (retail, desking, F&I), accounting and financial reporting, and CRM.
• Demonstrated ability to engage with mid-market or large dealer group executives (VP and C-suite) with genuine authority — as a domain peer, not a vendor presenter.
• Deep understanding of DMS migration complexity at scale — data conversion, third-party integrations, workflow change management, and multi-rooftop go-live sequencing.
• Deep familiarity with at least one major legacy DMS platform (CDK, Reynolds & Reynolds, DealerSocket, or equivalent) from an implementation, operational, or consulting context.
• Exceptional executive communication, listening, and presentation skills; able to command credibility in a boardroom and adapt fluently across technical and non-technical audiences.
• Proven experience contributing to complex, high-value B2B evaluations in a domain expert or senior advisory capacity.

Preferred

• Direct operational or consulting experience at or with a large, publicly traded dealer group (e.g., Asbury, AutoNation, Lithia, Penske, Group 1, Sonic) — understanding how these organizations are structured, governed, and how technology decisions get made.
• Prior experience in a principal or staff-level solutions architect role with accountability for the most strategically significant accounts or opportunities in the portfolio.
• Familiarity with Tekion ARC or experience evaluating Tekion as part of a competitive DMS assessment.
• Understanding of dealer group financial structures, including multi-entity accounting, OEM financial statement requirements, and group-level reporting consolidation.
• Deep fixed operations expertise beyond the DMS core — including shop management, labor guides, parts procurement, warranty claim processing, and service lane technology.
• Exposure to digital retail, online F&I, and consumer-facing platforms and how they integrate into DMS workflows at enterprise scale.

Sponsorship

• Please note that visa sponsorship is not available for this position. 

Perks and Benefits

• Competitive compensation and generous stock options   
• 100% employer-paid top-of-the-line medical, dental and vision coverage  
• Great benefits including unlimited PTO, parental leave and free snacks and beverages  
• The opportunity to work with some of the brightest minds from Silicon Valley’s most dominant and successful companies   
• Be part of an early stage, hyper-growth start-up with the opportunity to grow and prosper    
• Work on the latest and coolest technologies – everything is home-grown and built ground-up   
• A dynamic work environment with a strong sense of community and collaboration   
• The open and transparent culture that encourages innovation, rewards performance and discourages hierarchy   
• Exciting opportunities for career growth and development   

Current Tekion Employees – Please apply via Greenhouse Internal Job Board

Job Summary - Software Platform Architect

The Software Platform Architect is responsible for the high-level design, development, and evolution of scalable software platforms that support multiple products and business needs. This role collaborates with cross-functional teams—including engineering, product, and operations—to define technology standards, guide architectural decisions, and ensure the platform’s reliability, scalability, and security.

Key Responsibilities

• Lead the architecture and design of Integration and System Integrator Platform platforms, ensuring alignment with business objectives and technical strategy.
• Define and promote the use of architectural patterns, best practices, and standards across the engineering organization.
• Collaborate with development teams to translate business requirements into robust, scalable, and modular solutions.
• Evaluate and select appropriate technologies, frameworks, and tools to meet platform needs.
• Oversee integration with internal and third-party systems, ensuring data integrity and optimal performance.
• Conduct architecture reviews and provide technical guidance to engineering teams throughout the software development lifecycle.
• Identify and address potential bottlenecks, vulnerabilities, and system failures.
• Maintain documentation of architecture, processes, and best practices.
• Stay current with emerging technologies and industry trends, evaluating their potential impact on the platform.
• Mentor and coach engineering teams on architectural principles and practices.

Qualifications

• Bachelor’s or master's degree in computer science, Software Engineering, or related field.
• Experience in building at event driven applications at scale
• 10+ years of relevant experience in software development and architecture, with a focus on building platforms or large-scale systems.
• Experience is large scale messaging systems like Kafka
• Experience using Mongodb, ElasticSearch, MySQL, Postgresql
• Proven experience in building platform components using the java, SpringBoot.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and container orchestration (e.g., Kubernetes, Docker).
• Strong knowledge of APIs, microservices, data storage, and integration methodologies.
• Experience in SaaS platform architecture or development.
• Familiarity with DevOps practices and CI/CD pipelines.
• Experience with security, compliance, and regulatory requirements for enterprise software.
• Excellent problem-solving, communication, and leadership skills.
• Experience working in Agile environments.
• Experience in using AI tools (Augment, Cursor, Claude code)

Job Summary - Software Architect(Frontend)

The Software Architect – Frontend is responsible for leading the design, architecture, and implementation of modern, scalable, and maintainable frontend applications across our product suite. This role collaborates cross-functionally with designers, backend engineers, and product managers to ensure a seamless and consistent user experience, driving the adoption of best practices in frontend engineering and staying abreast of the latest technology trends.

Key Responsibilities:

· Define, design, and document the architecture for frontend applications, ensuring scalability, performance, accessibility, and maintainability.

· Establish and enforce the use of frontend development best practices, frameworks, and design patterns across teams.

· Collaborate closely with UX/UI designers to translate design concepts into functional, pixel-perfect user interfaces.

· Work with backend engineers to design and implement robust APIs and data integration strategies.

· Provide technical guidance and mentorship to frontend development teams, conducting code reviews and promoting a culture of continuous improvement.

· Optimize frontend performance for various browsers and devices, proactively identifying bottlenecks and areas for improvement.

· Evaluate and select technologies, frameworks, and tools to support the evolving needs of the frontend platform.

· Contribute to cross-team architectural initiatives and promote reusability across web and mobile solutions.

· Stay up to date with emerging trends in frontend development, evaluating their relevance and potential impact.

· Maintain thorough documentation of frontend architecture, workflows, and best practices.

Qualifications

· Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

· 8+ years of professional frontend development experience, including significant experience in architectural or lead roles.

· Expertise in JavaScript, TypeScript, HTML5, CSS3, and modern frontend frameworks (e.g., React, Angular, Vue.js).

· Experience architecting and building large-scale, high-performance web applications.

· Strong understanding of web performance, security, accessibility standards (e.g., WCAG), and responsive design principles.

· Proven experience with state management solutions, component-based architecture, and modular design.

· Familiarity with backend integration, RESTful APIs, and micro frontends.

· Proficiency in build tools (e.g., Webpack, Babel), testing frameworks, and CI/CD pipelines.

· Excellent communication, leadership, and problem-solving abilities.

· Experience working in Agile or cross-functional teams.

· Experience with mobile web or hybrid app development.

· Knowledge of UI/UX best practices and collaboration with design systems teams.

· Contributions to open-source frontend projects or active involvement in frontend technology communities.

· Experience with internationalization, localization, and accessibility compliance in web applications.

· Experience in using AI tools (Augment, Cursor, Claude Code)

Job Description

Key Responsibilities

• Own end-to-end delivery of CI/CD pipelines, infrastructure as code, and deployment automation workflows. 
• Collaborate with application, infrastructure, and security teams to drive automation, system reliability, and operational excellence. 
• Establish and track key metrics (KPIs) for deployment frequency, change lead time, incident reduction, and operational resilience. 
• Ensure compliance and security requirements are met through robust tooling and effective processes (e.g., secrets management, vulnerability scanning, audit logging). 
• Manage resource planning, hiring, and performance reviews; foster a collaborative and inclusive team environment. 
• Report progress, risks, and key outcomes to senior leadership; contribute to technology, roadmaps and budget planning. 

Skills and Experience

• Bachelor’s/master’s in computer science, Engineering, or related field, or equivalent practical experience. 
• 5+ years of experience in DevOps or SRE roles, including large-scale automation and modern infrastructure management. 
• Deep experience with modern DevOps tooling and practices (e.g., Kubernetes, Terraform, Jenkins, GitHub Actions, AWS/GCP/Azure). 
• Proven expertise in automation, configuration management, monitoring/alerting, and incident response. 
• Solid understanding of security best practices for cloud-native environments (e.g., IAM, RBAC, encryption, compliance frameworks). 
• Strong communication skills, with the ability to effectively manage stakeholders, prioritize work, and build high-performing teams. 

Overview 

 Tekion is entering its next phase of growth and is looking for a People Program Manager to support day-to-day People Program operations and help scale the infrastructure that powers our employee experience in India. 

 This is an individual contributor role focused on strong execution, program ownership, and operational excellence. You will partner closely with People Operations, People Partners, Talent Acquisition, Legal/Privacy, and Systems teams to deliver consistent, compliant, and employee centric People programs. For globally owned People programs, this role will serve as the India execution lead, responsible for localizing requirements, coordinating stakeholders, and ensuring successful delivery and adoption in India. 

 What you’ll do 

• Own and execute People programs end-to-end including performance management cycles, engagement surveys, internal talent movement programs, People/HR system upgrades, and compliance related initiatives. 
• Manage project delivery by building and maintaining project plans, timelines, milestones, dependencies, and status updates; proactively identify risks and drive mitigation. 
• Operationalize programs by supporting governance, operating rhythms, documentation, and handoffs to ensure programs are sustainable beyond initial launch. 
• Drive standardization and continuous improvement by maintaining core program artifacts (project charter, RACI, project plan, comms plan, launch readiness checklist, building repeatable playbooks/SOPs, and running post-launch retros to capture learnings and improve future cycles. 
• Create clear, scalable resources such as process guides, FAQs, templates, and manager communications to enable self-service and consistent execution. 
• Partner with Legal/Privacy and India compliance experts to ensure programs align with local statutory, audit, and data privacy requirements. 
• Maintain and analyze People data, including reporting, data audits, and basic dashboards to track program health and identify improvement opportunities. 
• Support the People team’s operating cadence, including preparation for Monthly and Quarterly Business Reviews and readiness for peak People cycles. 

What success looks like in this role 

• Core People programs and cycles run smoothly, on time, and with minimal escalations. 
• Stakeholders have clear visibility into timelines, ownership, and expectations for People & Cross-functional programs. 
• Processes and documentation are clear enough to enable consistent execution and increased self-service 
• The People team can rely on this role for strong operational follow-through and program readiness. 

 About you 

• A strong executor who brings structure to ambiguity and reliably follows through on commitments. 
• A process-oriented thinker who looks for practical improvements on that scale. 
• A collaborative partner who communicates clearly with cross functional stakeholders and balances people's needs with business priorities. 
• Detail oriented and organized with the confidence to raise risks and push back when needed. 

 Qualifications 

• 4–6 years of experience in HR/People Programs, HR/People Operations, HR/People Project Management, or related roles, ideally in a fast growing or mid to large organization. 
• Hands-on experience delivering cross-functional projects or recurring cycles (e.g., performance reviews, engagement surveys, system rollouts). 
• Working knowledge of project management tools (e.g., Jira, Microsoft Planner, Asana) and strong documentation practices. 
• Solid Excel or Google Sheets skills for reporting, tracking, and basic analysis of HR data. 
• Experience working with vendors or internal service providers to track deliverables and timelines. 
• Comfort collaborating with global stakeholders across time zones, including India–US teams. 

Preferred Qualifications:

• Exposure to India compliance topics (e.g., statutory processes, audits) through partnership with subject matter experts 
• Experience with People systems such as Workday (or equivalent HRIS), Greenhouse or Ashby (ATS), or similar tools. 
• Formal project management training or certification (PMP, Prince2, or equivalent). 

Job Description

At Tekion, Design and user experience are at the forefront of everything we do. Our design teams include designers, researchers, content strategists, and engineers who are passionate about quality, usability, and simplicity. We work together to collaboratively to solve complex challenges and craft experiences that highlight our products' unique capabilities. Tekion’s 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, Europe and we’re growing. 

As a Senior Product Designer, you'll tackle complex problems and transform them into intuitive, accessible and easy-to-use designs — from the first-time user to the sophisticated expert. Achieving this goal requires collaboration with teams of Designers, Researchers, Engineers and Product Managers throughout the design process—from creating user flows and wireframes to building user interface mock-ups and prototypes. At each stage, you will anticipate what our users need, advocate for them and ensure that the final product is easy to use and solving their problems.

What you bring to the team 

• User Advocacy: Champion the users throughout the design process and prioritize their needs throughout the product development cycle. You are someone who balances user needs with platform constraints while solving complex problems. 
• Inspire with Innovation: Brainstorm and conceptualise solutions that set new industry standards and deliver seamless, high-quality end-to-end experiences. You will be a part of a fast-paced team that works across other departments to create inclusive solutions. 
• Cross Functional Collaboration: You have a proven ability to work closely with product managers, engineers, marketers, and other stakeholders translating product requirements into functional, user-friendly designs. Being a part of a cross functional team, you are someone who can leverage collaboration methodologies like design workshops and thrive in fast-paced environments to build quality designs that benefits the user. 
• Investigator: You question assumptions and clarify requirements throughout the design process. You are a keen observer of user behaviour and can reframe problems to uncover innovative solution spaces while collaborating with your peers. You can think on your feet and come up with realistic trade-offs as the situation requires.

Skills and Qualifications 

• Systems Thinking: As a Senior, you understand how certain design components interact within a larger ecosystem and therefore can gauge the ripple effects of a design decision across a platform. You can design scalable and reusable solutions that work across multiple products and teams. 
• Figma Magician: Using Figma is like second nature to you — you breathe autolayouts, frames and responsive design. You have strong proficiency in both UX and visual design, with a demonstrated ability to deliver high quality and organised designs. Expertise in secondary tools like Framer, Principle, Miro, etc is a plus. You have impeccable understanding of various design systems, their components, variables, tokens, and can leverage best practices to your advantage when ideating. But you are courageous enough to break out of the mould when needed. 
• Storyteller: Create compelling narratives around design decisions and articulate thinking and solution rationale effectively. Present ideas and strategies clearly to team members and stakeholders, gather feedback before incorporating them in the designs. Build rapport with teams that depend on platform components. 

The Essentials

• You bring 5+ years' experience in end-to-end product design, with a robust portfolio showcasing user-centred design solutions that have delivered tangible results. You have an eye for detail, curiosity and growth mindset driving you as a designer. 
• Bachelor's degree in computer science, Human-Computer Interaction (HCI), Design, or equivalent practical experience. 
• Experience in designing for B2B, enterprise, or platform applications is highly desirable, but isn’t strictly necessary. 
• Strong proficiency in both UX and visual design, with a demonstrated ability to deliver high-quality designs that meet user needs and business objectives. 

Perks and Benefits

• Competitive compensation
• Generous stock options
• Medical Insurance coverage
• Work with some of the brightest minds from Silicon Valley’s most dominant and successful Companies

Role Overview

This is an individual contributor role requiring strong product instincts, technical fluency, and the ability to operate autonomously across the full delivery lifecycle. The ideal candidate is equally comfortable in a whiteboard session defining a solution and in a sprint review tracking execution details Expectations Own the intake, prioritization, and end-to-end product delivery of AEC platform requirements driven by OEM program teams. This role works closely with AEC platform product and engineering stakeholders to ensure solutions are scalable and reusable, while partnering with program teams to translate OEM needs into clear requirements and execution-ready work items.

Key Responsibilities

· Consolidate and prioritize platform asks across OEM programs with program leadership; manage tradeoffs and release scope

· Define solutions and author high-quality PRDs covering scope, workflows, data contracts, acceptance criteria, and rollout; create and manage epics and stories in the tracking system

· Drive cross-team solution alignment; identify dependencies early and secure commitments

· Lead grooming with engineering, QA, and TPMs to obtain estimates, sequencing, and risk/dependency tracking; ensure release readiness

· Track execution through release, escalate blockers, and maintain clear stakeholder communication

· Post-release: monitor outcomes, triage issues versus enhancements, and feed learnings back into the roadmap

Ideal Candidate

 Must-haves: 5+ years in enterprise SaaS PM, strong PRD writing skills, executive stakeholder management, platform architecture fluency, and experience leading engineering grooming independently.

Strong plus: Automotive retail or DMS experience, familiarity with OEM-dealer dynamics, exposure to Tekion AEC or comparable platforms. 

Key Hire Signal
This person must be able to design solutions and write PRDs that survive expert review without needing platform PMs in the room. If they rely on collaborative grooming to refine requirements, they will create bottlenecks in the delivery cycle. 

Perks and Benefits

• Competitive compensation

• Generous stock options

• Medical Insurance coverage

• Work with some of the brightest minds from Silicon Valley’s most dominant and successful companies