Software Engineering Manager, Analytics Platform
- Pay
- $240,000 – $360,000 per year
- Location
- Fremont, CA · On-site
- Job type
- Full-time
- Level
- Lead / Staff
- Listed
- 28 days ago
Skills & highlights for this role
- software engineering
- analytics platform
- engineering management
About the role
Software Engineering Manager, Analytics Platform | Tesla (Engineering & Information Technology)
Location: Fremont, California | Req ID: 282992 | Job Type: Full-time
What to Expect
We are building an SI-powered analytics platform combining intelligent agents, self-service visualization, and enterprise data tools to accelerate insights and drive data-driven decisions across Tesla. This platform serves as the daily operational hub for all Tesla employees — from frontline operators to executive leadership — enabling them to interact with data intuitively and act on it confidently.
As a manager, you will lead a team of talented engineers responsible for designing and delivering critical components of this platform — spanning backend services, SI agentic workflows, data pipelines, and intuitive front-end experiences. You will set the technical direction, grow engineering talent, and partner closely with product, data, and business stakeholders to shape the future of analytics at Tesla.
Location: Open to candidates in or willing to relocate to Fremont, CA or Austin, TX
What You'll Do
- Directly manage a team of software engineers — including hiring, onboarding, performance management, career development, and retention
- Foster a high-performance engineering culture grounded in ownership, collaboration, and continuous improvement
- Define and drive the technical vision and roadmap for the analytics platform, ensuring alignment with Tesla's broader data and SI strategy
- Serve as a hands-on technical leader who can engage deeply in design reviews, code reviews, and complex problem-solving
- Lead the design and delivery of SI agentic workflows integrated with homegrown and third-party LLM systems
- Ensure platform reliability, scalability, and performance through robust testing, monitoring, and deployment automation
- Collaborate with business and operations stakeholders to deeply understand Tesla's workflows and translate them into impactful data tools
What You'll Bring
- Degree in Computer Science, Information Technology, or a related field, or equivalent experience
- 8+ years of software engineering experience, with 3+ years in an engineering management or technical leadrole with direct reports
- Strong proficiency in Python and ReactJS with a deep understanding of performant coding patterns andscalable software architectures
- Proven experience with microservice based architecture, authentication/authorization frameworks, and APIdesign and integration
- Proficiency with relational and nonrelational database systems (MySQL, NoSQL, OpenSearch, etc.)
- Hands-on experience with Docker, Kubernetes, and CI/CD pipelines
- Experience with SI/LLM integration and building applied SI or agentic solutions is strongly preferred
- Familiarity with data orchestration frameworks such as Airflow or Temporal, experience with charting and visualization libraries (D3.js, ECharts, etc.), and experience with frontend testing frameworks(Jest, Jasmine)
- Demonstrated ability to lead, mentor, and grow engineering teams in a fast-paced environment, plus strongstrategic thinking with the ability to balance long-term vision with near-term execution
- Ability to operate with high autonomy, drive alignment across teams, and influence without authority
Benefits
Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
- Medical plans > plan options with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
- Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
- Healthcare and Dependent Care Flexible Spending Accounts (FSA)
- 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
- Company paid Basic Life, AD&D
- Short-term and long-term disability insurance (90 day waiting period)
- Employee Assistance Program
- Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
- Back-up childcare and parenting support resources
- Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
- Weight Loss and Tobacco Cessation Programs
- Tesla Babies program
- Commuter benefits
- Employee discounts and perks program
- Earned Wage Access: Real-time pay access paid daily, subject to eligibility and schedule (applicable for below Sr. Managers levels)
Expected Compensation$240,000 - $360,000/annual salary + cash and stock awards + benefitsPay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
From Tesla's careers page, first listed on Rolev.ai on October 12, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Software Engineering Manager, Analytics Platform role at Tesla?
The Software Engineering Manager, Analytics Platform posting at Tesla states compensation of $240,000 – $360,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Tesla's official career site.
Where is the Software Engineering Manager, Analytics Platform job at Tesla located?
This Software Engineering Manager, Analytics Platform position at Tesla is located in Fremont, CA (On-site). Always check Tesla's application page for specific state eligibility or relocation policies.
What qualifications are required for Software Engineering Manager, Analytics Platform at Tesla?
For the Software Engineering Manager, Analytics Platform role, Tesla highlights experience with software engineering, analytics platform, engineering management. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Software Engineering Manager, Analytics Platform position at Tesla?
This listing links directly to Tesla's application page. You can apply directly on Tesla's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.