Jobs at Tekion

Lead the architecture, development, deployment, and optimization of Salesforce Sales Cloud and CPQ solutions. Own lead-to-cash, quoting, pricing, subscription, renewal, and amendment workflows while integrating Salesforce with ERP, billing, marketing automation, and CLM systems. Translate business requirements into scalable technical solutions, ensure security and data integrity, establish DevOps and testing practices, document architectures, and mentor Salesforce developers and administrators.

Provides technical support to customers through phone, email, and chat by diagnosing software and hardware issues, documenting resolutions, escalating complex problems, and creating support documentation. Collaborates with engineering and product teams, participates in training, and helps maintain customer satisfaction and effective support processes.

Leads strategic value advisory engagements for enterprise customers, developing ROI models, financial business cases, industry benchmarks, and executive presentations. Partners with sales, product, finance, marketing, and customer success teams to communicate economic value, support deal structuring, and influence C-level decisions. Also develops scalable value methodologies and mentors junior team members and sales staff.

Leads large-scale technical programs across engineering, product, infrastructure, security, and operations. Responsibilities include defining scope and delivery plans, managing risks and dependencies, coordinating stakeholders, providing executive updates, ensuring accountability across workstreams, mentoring junior technical program managers, and influencing strategic roadmaps. The role requires technical depth in software development, system architecture, and agile methodologies, along with strong communication and stakeholder-management skills.

Leads end-to-end execution of mid-to-large-scale technical programs, coordinating Engineering, Product, QA, and other teams. Manages requirements, milestones, timelines, risks, dependencies, agile ceremonies, documentation, dashboards, and stakeholder communications. The role also drives process improvements, cross-functional alignment, knowledge sharing, and mentorship while delivering software or platform initiatives on time and within scope.

Leads the account development function, managing ADRs and team leaders while driving inbound and outbound prospecting, lead qualification, meeting creation, and pipeline generation. Establishes performance goals, coaches team members, partners with Sales, Marketing, and Revenue Operations, improves funnel performance through data analysis, oversees onboarding and enablement, ensures CRM discipline, and supports workforce planning and organizational growth.

Build automated testing and evaluation frameworks for generative AI, LLM, RAG, multi-agent, classical ML, and data pipelines. Validate model quality, data integrity, retrieval performance, drift, and AI safety. Integrate testing into MLOps and CI/CD pipelines, monitor quality KPIs, and support release readiness. The role requires expert Python, SQL, AI evaluation frameworks, API automation, observability, and model testing experience.

Build automated testing and evaluation systems for generative AI, LLM, RAG, multi-agent, classical ML, and deep learning products. Validate data quality, model metrics, embeddings, vector database retrieval, drift, privacy, and pipeline integrity. Develop API and backend test automation, integrate AI quality gates into MLOps and CI/CD pipelines, monitor production systems, and communicate quality KPIs and release readiness.

Leads Tekion’s global inside sales organization, defining strategy for outbound prospecting, inbound qualification, SDR/BDR programs, pipeline generation, and lead conversion. Manages sales leaders and representatives, develops scalable processes and training, monitors performance metrics, and collaborates with Field Sales, Marketing, Revenue Operations, and Product. Owns headcount planning, budgeting, organizational design, hiring roadmaps, and executive-level representation.

Lead Tekion’s Chennai engineering organization of approximately 20 engineers across backend, frontend, AI, and QA. Own delivery, technical quality, cross-team coordination, hiring, talent development, performance management, and engineering culture. Partner with US-based Product leadership and platform teams to translate requirements into execution plans, manage dependencies, and shape the AI-focused technical roadmap. Provide architectural guidance across Java, distributed microservices, SaaS, and event-driven systems while resolving complex technical challenges.

Leads development of scalable, high-performance software systems and services from concept through deployment. Influences architecture and technical strategy, resolves production and development bottlenecks, conducts code reviews, establishes engineering standards, mentors junior engineers, and promotes best practices. Requires expertise in modern programming languages, distributed systems, cloud-native services, microservices, containerization, cloud platforms, and performance optimization.

Generate and qualify sales opportunities by researching automotive dealership accounts, managing inbound leads, executing cold-calling and outreach strategies, meeting appointment KPIs, presenting Tekion’s value proposition, and transferring qualified opportunities to field sales representatives. The role requires CRM tracking, territory planning, follow-up management, executive communication, and independent lead-generation performance.

Generates appointments by researching automotive dealership accounts, managing inbound leads, executing cold-call strategies, presenting Tekion’s value proposition, and nurturing executive relationships. The representative tracks outreach and appointment KPIs, develops territory plans, coordinates handoffs to field sales representatives, and independently manages follow-up activities. The role requires strong communication, negotiation, organization, CRM proficiency, and quota-driven business development experience.

Leads applied science and machine learning teams, setting technical vision, research roadmaps, and production model deployment. Oversees experimentation, evaluation, responsible AI, and integration with scalable systems. Partners with Product, Engineering, and Data teams to deliver measurable business outcomes, mentors scientists and engineers, removes blockers, and represents applied science in executive planning.

Design and build scalable, multi-tenant data platforms, warehouses, and lakehouse architectures. Develop batch, streaming, and CDC ingestion pipelines using Python, SQL, Spark, AWS, and streaming technologies. Apply data modeling, Data Vault, governance, data quality, schema evolution, orchestration, and performance optimization practices to support analytics, operational insights, and AI-driven products.

Develop and optimize database solutions, including schema changes, stored procedures, indexing, query tuning, monitoring, backups, and failover. Automate maintenance and data-processing tasks using SQL and scripting, collaborate with engineering, DevOps, and product teams, participate in code reviews and documentation, and support incident response and root-cause analysis for database issues.

Owns DevOps, DBA, and platform engineering across AWS cloud infrastructure. Responsibilities include CI/CD, infrastructure as code, Kubernetes, database administration, multi-region high availability, disaster recovery, security controls, observability, incident response, cloud cost optimization, and infrastructure support for data and AI platforms.

Leads site reliability initiatives across large-scale cloud-native systems. Designs monitoring, alerting, self-healing infrastructure, and automation; leads incident response, root cause analysis, capacity planning, fault-tolerance analysis, and performance optimization. Collaborates with engineering and DevOps teams, mentors junior SREs, and drives operational maturity and platform reliability with minimal supervision.

The Director of GTM Engineering builds and operates AI-powered workflows, data pipelines, integrations, automation, dashboards, and internal tooling for go-to-market teams. Responsibilities include architecting the GTM technology stack, deploying and evaluating AI agents, automating repetitive processes, improving enrichment infrastructure, and measuring effects on conversion and pipeline velocity. The role requires hands-on technical building experience across CRM, marketing automation, enrichment platforms, APIs, SQL, and data systems in a high-growth B2B SaaS environment.

Leads FP&A activities across business units, including budgeting, forecasting, long-range planning, financial modeling, dashboards, variance analysis, and executive reporting. Partners with leadership on strategic decisions, improves planning processes and tools, and manages financial reviews. Oversees a team of finance analysts and managers, supporting development and performance.