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Jarrod Tran

Jarrod Tran

Worth Mulling

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About

I work at Tesla Energy as Lead, AI Enablement & Factory Strategy. I built the team that ships our AI tools, got people using them, and put reporting in place so leadership can see whether the tools move the business. Before that: Apple's 0→1 iPhone launch in India, Engineering Operations planning at Waymo, and Tesla Special Projects through the 4680 launch.

Houston, TXUniversity at Buffalo · B.S. Business Administration, Finance · Cum Laude

Experience

1,000+

Active users on AI tools I shipped

Tesla Energy

20+

Production AI solutions

Tesla Energy

$156M

Incremental annual profit

Tesla Energy

$260M

Annualized savings

Tesla Energy

  1. Tesla

    Rejoined in 2023 after Apple and Waymo.

    Lead, AI Enablement & Factory Strategy

    Aug 2023 - Present

    I own Tesla Energy’s AI enablement strategy and the product team that ships it: roadmap, rules, and what I report to leadership.

    • Built and lead a forward-deployed AI product and engineering org at Tesla Energy, scaling adoption to 1,000+ active users across 20+ production AI solutions: RAG troubleshooting, automated reporting, workflow automation, and decision-support.
    • Modeled AI productivity at roughly 540 hours reclaimed per week and $1.6M in annualized value, with more upside as automation adoption grows.
    • Owned the global investment roadmap across California, Texas, and Shanghai: scaled Megapack 3.2×, allocated $23M across 50+ initiatives for $156M in incremental annual profit, and led a separate program that delivered $260M in annualized savings.
    • Mitigated $550M in projected tariff exposure by redesigning the product and investment plan, then built and promoted successors so I could focus on AI enablement.

    Program Manager, Special Projects

    Jun 2018 - Jun 2021

    I ran new programs at Tesla, including the 4680 launch and the Model 3 and Model Y scale-up.

    • Advanced Project Roadrunner, Tesla's 4680 program, from early pilot to a launch-ready platform. Stage gates, readiness reviews, and cross-functional ownership through Battery Day.
    • Designed and launched a $3.5M/month coordination platform (“Warehouse on Wheels”) to protect product availability during rapid scale-up.
    • Led planning and recovery across Model 3 and Model Y programs through demand surges and supply disruptions.

  2. Waymo

    Strategy & Operations Manager

    Oct 2022 - May 2023

    • Led annual planning, OKRs, and quarterly business reviews for Engineering Operations. Turned org priorities into resource plans, targets, and milestones.
    • Got hardware, software, fleet, Product, Legal, and Engineering onto the same facts, including safety and regulatory work for commercial autonomous-vehicle deployment.
    • Built leadership dashboards for performance, fleet health, and program milestones so senior leaders weren't stuck in ad-hoc reporting.

  3. Apple

    Strategic Operations Program Manager

    Jun 2021 - Jun 2022

    • Led the 0→1 iPhone India launch from market entry and partner qualification through readiness and scaled delivery, under tight quality, regulatory, and timing requirements.
    • Supported 293% year-over-year growth (4.3M → 16.9M units) and a program whose reported revenue grew from $2B to $10B by translating demand into investment and readiness plans.
    • Expanded iPhone India exports from 6 to 40+ countries, building a second-source network that reduced geographic concentration risk.

Selected work

1,000+

Active users across 20+ production AI solutions

Tesla Energy: AI product that got used

Tesla Energy needed AI tools people would actually use. Priorities were scattered, nobody owned the use cases, and we couldn't tell if adoption changed results.

I stood up the product and engineering team, ranked the use cases, and set up training and adoption reporting for everything we shipped.

Modeled at ~540 hours reclaimed per week and $1.6M in annualized productivity value.

$156M

Incremental annual profit from a $23M portfolio

Tesla Energy: which dollar moves the P&L

Demand outran what we could fund. 50+ asks. $23M to spend. Which dollar moved the P&L?

I built Python and Tableau models linking investment, labor, cost, and timing. We funded the work with the best return and killed the rest. The same logic ranks AI use cases today.

3.2× scale on Megapack, $260M in annualized savings, and $550M in tariff exposure mitigated.

293%

Year-over-year growth, 4.3M → 16.9M units

Apple: 0→1 iPhone India

India had to go from plan to scaled launch while market entry, partner readiness, and demand were all still moving.

I drove market-entry decisions, partner qualification, and launch readiness, and kept demand, quality, and geopolitical risk in one plan.

Program revenue grew from $2B to $10B, and exports expanded from 6 to 40+ countries.

One plan

Six functions on one shared scoreboard

Waymo: one plan, six functions

Each function ran its own planning, and leadership settled conflicts with data nobody else trusted.

I built the annual planning, OKR, resource-plan, QBR, and dashboard rhythm that every function worked from.

A shared Engineering Operations rhythm that forced tradeoffs into the open and cut the ad-hoc reporting.

How I work

  • Get the facts first

    Get the outcome, constraints, economics, and assumptions on the table before anyone spends. Structured problem-solving starts there.

  • Find where work stalls

    Follow the dependencies, incentives, and bottlenecks. Problems usually show up where one team hands work to another.

  • Cut what doesn't matter

    Cut work that doesn't serve the outcome. On Megapack that was 50+ requests down to a ranked $23M portfolio.

  • Name an owner

    Name the tradeoff, the owner, and the next move. A plan only counts once each step has an owner.

  • Keep improving it

    Add the feedback (and the automation) that makes the system better as it grows. I add AI where it clearly saves time.

Looking for product, strategy, or AI roles.

Growth-stage tech, consulting, early-stage startups, or an operating role at a VC firm. Based in Houston.