Jobs at Tekion

The People Business Partner will support product and engineering teams, driving talent enhancement, performance management, and employee engagement initiatives while ensuring HR compliance.

Lead graphic design projects, maintain brand identity, mentor a design team, advocate for design in leadership discussions, and innovate workflows.

Manage and execute HR programs, ensuring compliance and operational excellence while collaborating with cross-functional teams for effective project delivery and employee experience enhancement.

Define and implement automated testing and validation for Tekion's AI Platform: feature pipelines, training/serving infrastructure, model registry, deployment, LLM gateways, and vector stores. Build performance, scalability, regression, and reconciliation suites; define quality metrics and SLO validation; use LLMs to accelerate test generation; drive root cause analysis and champion reliability best practices across the platform.

Build and operate production ML infrastructure to convert prototype models (LLM, NLP, recommendation, forecasting, tabular) into low-latency, reliable services. Own CI/CD, containers, orchestration, inference microservices, feature pipelines, model/feature lifecycle, observability, safety/guardrails, and runtime reliability while collaborating with Applied Sciences and Product.

Own end-to-end quality for enterprise data products: design and implement automated testing for pipelines, transformations, APIs, and platform capabilities; validate data correctness, completeness, consistency, freshness, and lineage; build reconciliation frameworks; define data quality metrics and monitoring; create regression suites and drive root-cause analysis; and design evaluation frameworks and test strategies for AI-powered analytics agent outputs.

Own end-to-end quality for ML models and AI agents: design automated testing and evaluation frameworks, create eval datasets, detect hallucinations and regressions, validate integrations and latency, build regression suites and monitoring, perform root-cause analysis, and use LLMs to generate test cases and synthetic data to accelerate quality engineering.

Design, build, and operate an LLM control plane/gateway and agent runtime for multi‑tenant automotive SaaS. Implement retrieval (graph+vector+keyword), MLOps pipelines, monitoring, safety/PII controls, autoscaling, and tooling so product teams can deploy and govern LLM and classical ML models at scale.

Own and run an LLM control plane/gateway and agent runtime, build unified APIs/SDKs, enforce safety/privacy, enable multi-model retrieval and hybrid search, manage ML training/scoring pipelines, monitor model/data drift, define SLOs and observability, and mentor teams to deploy scalable, cost‑aware AI/ML platform features.

Design, build, and operate Tekion's AI platform: an LLM control plane/gateway, agent runtime and orchestration, retrieval/graph-backed context, MLOps pipelines, monitoring, safety/privacy guardrails, and SDK/APIs to enable multi-tenant, cost‑aware, production AI and classical ML models.

Lead validation and quality engineering for Tekion's Enterprise Data Platform. Design and implement automated tests, reconciliation frameworks, data quality metrics, and regression suites. Validate data correctness, lineage, freshness, and platform capabilities. Define and execute AI/Analytics Agent evaluation strategies, create evaluation datasets, measure accuracy, identify hallucinations, and drive root-cause fixes with engineering teams.

Own end-to-end dealer-facing product and integration for Tekion's GM DRP program. Define roadmaps, integration architecture, data contracts, KPIs, and backlog; troubleshoot APIs and event pipelines; align OEM, dealer success, engineering, and leadership; and drive adoption, compliance, and platform scalability.

Validate and ensure end-to-end data quality for the Enterprise Data Platform by designing and implementing automated test and reconciliation frameworks, monitoring data correctness, completeness, freshness, consistency and lineage, partnering with engineering on platform capabilities, executing regression suites and root-cause analysis, and defining/evaluating test strategies and evaluation datasets for AI-powered analytics features.

Lead multiple engineering teams through design, development, and deployment. Define technical strategy and roadmaps, oversee hiring and resource planning, drive engineering best practices and platform modernization, mentor engineering managers, and collaborate cross-functionally to deliver scalable cloud-native solutions.

Lead design, development, and delivery of complex cloud-native systems. Drive end-to-end technical execution, set engineering standards and architecture, mentor engineers, collaborate with product/UX/architecture, troubleshoot production issues, and champion performance and system improvements.

Lead roadmap and delivery of retail application features that improve dealership workflows, usability, automation, and reporting. Translate dealer pain points into product requirements, partner with Engineering and Design to build scalable experiences, measure and prioritize using data and feedback, and support launch, enablement, and iteration. Contribute to long-term strategy and prepare systems for AI/automation.

Design and build a multi-tenant, cloud-scale data platform and lakehouse architectures; implement batch, streaming, and CDC ingestion pipelines; perform data modeling (dimensional, Data Vault), SQL optimization, Spark-based processing, and data quality/monitoring; use Python/Scala, Airflow, and AWS services to enable real-time analytics and AI use cases.

Lead end-to-end delivery of large cross-functional technical programs, coordinate product/engineering/infrastructure/security stakeholders, manage risks and dependencies, establish status cadences and executive updates, mentor junior TPMs, and influence strategic roadmaps to meet product milestones.

Partner with business leaders as a strategic HR advisor for multiple units. Drive org design, talent development, succession planning, performance cycles, employee relations, change initiatives, and People program execution. Build People infrastructure, influence senior leaders, and contribute to People team culture while operating in a fast-paced, high-growth environment requiring in-office presence in Pleasanton, CA.

Lead full-spectrum employee relations for US/Canada/UK/Germany: run complex investigations end-to-end, coach managers on performance and documentation, own PIP lifecycle, design and deliver compliance training, and maintain the employee handbook and policies. Build processes, training, and playbooks to proactively reduce ER risk and improve leadership effectiveness across the business.