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# Technical Program Manager

- **Company:** Tesla, Inc.
- **Location:** Austin, TX, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Agentic-AI, Automation Anywhere
- **Published:** October 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=423ee76052ee2dfb

## About the Role

* Bachelor's degree and background in program coordination, operations support, customer/user support, implementation, or equivalent experience
 * Strong people skills: you build trust quickly, listen well, and work comfortably with non-technical stakeholders as well as engineers and leaders
 * Support-first mindset with empathy, patience, and clear communication-especially when users are frustrated, under time pressure, or learning a new system
 * Solid problem-solving instincts: you dig into issues, find practical answers, and know when to escalate versus resolve yourself
 * Comfort handling high-volume support through AI-assisted channels and in-person conversations without losing quality or follow-through
 * Ability to deliver at Tesla pace-prioritize, stay organized under load, and move work forward even when requirements are incomplete or changing
 * Willingness to learn technical tools, UAT practices, and AI workflows hands-on; curiosity and coachability matter

## Description

* Support end-to-end delivery of MyEHS programs and releases-scope, milestones, dependencies, risks, and outcomes-in partnership with product, engineering, and EHS&S stakeholders
 * Provide high-volume user support through AI agents and in-person conversations, triaging issues, coaching users, and escalating systemic problems with clear root-cause context
 * Engage non-technical stakeholders across manufacturing, service, and energy teams; translate workflows, constraints, and feedback into actionable requirements
 * Plan and execute user acceptance testing (UAT) for MyEHS features and integrations, validating real-world scenarios before go-live and driving defect closure to ship quality
 * Design, build, and iterate AI-assisted support and operational workflows that reduce time-to-resolution while preserving accuracy, escalation paths, and auditability
 * Support stakeholder alignment across regions and functions-status, trade-offs, adoption risks, and decisions-so priorities stay clear and delivery stays predictable
 * Use hands-on technical judgment (systems, data, tooling, and process) to unblock work yourself when possible, improve operating rhythms, and raise the bar on support quality and program execution