Primary Skills: Jira (advanced), Confluence (advanced), AI (intermediate), Risk Management (advanced), Process Improvement (advanced)
Contract Type: W2 and C2C
Location: Fremont, CA (Onsite)
Duration: 6+ months
Pay Range: $60-$65/hr on W2 or C2C
Interview Mode: Onsite interview scheduled for Wednesday, August 19th in Fremont, CA.
Summary:
We are seeking a highly experienced Technical Program Manager (TPM) to lead complex, high-visibility software and AI programs within Tesla's rapidly growing Auto, Energy, Market Expansion, Charging, Megapack, and Powerwall organizations.
This role is ideal for a technically strong TPM who can bridge product vision, software engineering execution, and cross-functional delivery. The successful candidate will work closely with software, firmware, applications, product, and service engineering teams to drive programs from requirements and planning through production launch.
The ideal candidate will have a strong understanding of software engineering and SDLC, with previous software engineering or hands-on technical experience being a significant advantage.
Key Responsibilities:
- Orchestrate the full lifecycle of complex software development projects.
- Foster seamless communication and collaboration across engineering disciplines.
- Apply technical expertise to guide engineering discussions and problem-solving.
- Implement and uphold rigorous software development and quality standards.
- Proactively identify and resolve project risks and impediments.
Must-Have Skills:
- 10+ years of experience in Technical Program Management, software development, or a closely related technical environment.
- Strong experience leading complex software development programs.
- Strong understanding of SDLC, software engineering methodologies, and production releases.
- Working knowledge of SQL and relational/table structures.
- Experience with Jira and Confluence or similar program management tools
Industry:
This role requires experience in the fast-paced technology sector, with a preference for those who have worked with AI solutions or in rapidly scaling product environments.
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