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Tesla logo

Forward Deployment Engineer, Global Megapack Operations

Tesla
  • 🇺🇸 United States
  • On-site
  • 1 hour ago
  • $72,000 – $162,000
  • AI
  • RAG
  • Claude
  • GPT
  • Copilot
  • Python
  • Git
  • GitHub
  • Technical Writing
  • CRM
  • ERP
  • Pension
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What to Expect

The SI Product Analyst, Megapack Operations will own the building, maintenance, and adoption of AI-powered tools and agents that support Tesla's Megapack business. This role sits at the intersection of product thinking, hands-on SI tool development, and operational domain knowledge. You will build and maintain RAG-based agents, support a shipped desktop SI platform (600+ users), curate a shared skills repository, and drive enablement programs that help non-technical teams use SI effectively in their daily work.

This is not a traditional analyst role. You will spend the majority of your time building and shipping SI products, not writing reports. A great SI Product Analyst is someone who can investigate why an agent gave a wrong answer in the morning, ship a fix by lunch, write the documentation in the afternoon, and present adoption metrics to leadership by end of day.

As a key member of the Megapack Operations team, you will work closely with the SI product lead, software engineers, and cross-functional stakeholders across Sales, Finance, Legal, Service, and Deployment. You should be comfortable with ambiguity, energized by building tools that make other people's jobs easier, and willing to wear many hats in a fast-moving environment.

What You’ll Do

  • Build, tune, test, and maintain SI agents powered by RAG (retrieval-augmented generation) platforms, including document ingestion, prompt engineering, chunking strategy, and answer quality validation
  • Support a shipped SI desktop application by testing new features, filing structured bug reports, validating UX with real users, and feeding product feedback to the engineering team
  • Curate and manage a shared SI skills repository, including reviewing contributions from other teams, enforcing metadata standards, and maintaining a prompt template library
  • Design and deliver SI enablement programs: training materials, walkthrough videos, onboarding guides, monthly newsletters, office hours, and SI Show & Tell sessions
  • Track and report on SI adoption metrics across the organization, including weekly active users, retention, tool usage frequency, and time-to-value
  • Write clear use-case documentation for each SI tool in the portfolio so teams can self-serve

What You’ll Bring

  • Bachelor's Degree in Computer Science, Engineering, Data Science, Information Systems, or equivalent experience
  • 2+ years of hands-on experience with AI/LLM tools (Claude, GPT, Copilot, or similar) in a professional setting, not just personal experimentation
  • Demonstrated ability to build and maintain RAG-based agents or LLM-powered applications (prompt engineering, document pipelines, quality testing)
  • Proficiency in Python for scripting, data processing, and API integration
  • Familiarity with Git/GitHub workflows (branching, PRs, code review)
  • Strong technical writing skills with the ability to create documentation, training materials, and user guides for non-technical audiences
  • Experience with enterprise systems (CRM, ERP, quoting tools, or project management platforms) or willingness to learn Tesla's internal systems quickly
  • Product instinct: you can identify when something feels wrong to a user, not just when it crashes

Compensation and Benefits

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$72,000 - $162,000/annual salary + cash and stock awards + benefits

    Pay 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.

    Forward Deployment Engineer, Global Megapack Operations · Tesla

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