Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 149 days ago

Sr Manager, Data Factory Operation

Faraday Future82 open roles

Pay
$180,000 – $200,000 a year
Where
El Segundo, California, United States
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSr Manager, Data Factory OperationFaraday Future · El Segundo, California, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Faraday Future's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. Faraday Future postings stay open a median of 62 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 149 days ago

Faraday Future median: 62 days open

The posting

The Company:

Faraday Future (FF) is a California-based embodied artificial intelligence ecosystem company, leveraging the latest technologies and world’s best talent to realize exciting new possibilities in mobility and robotics. We’re producing user-centric, technology-first vehicles and robots to establish new paradigms in human-AI interaction. We’re not just seeking to change how our cars and robots work – we’re seeking to change the way we drive and interact with machines. At FF, we’re creating something new, something connected, and something with a true global impact.

Founded in 2014, the Company’s mission is to disrupt the automotive and technology industries by creating user-centric, technology-first experiences. The Company, together with its controlled subsidiaries, operates across multiple technology-driven areas, including AI electric vehicles, robotics, and its crypto business (AIXC), all under its upgraded Global EAI Industry Bridge Strategy, marking the beginning of a new chapter in AI mobility and Web3 integration. The Company aims to leverage the latest technologies and world’s best talent to realize exciting new possibilities across all of these lines. Faraday Future’s automotive business exemplifies its vision for luxury, innovation, and performance, while its FX strategy aims to introduce mass production models equipped with state-of-the-art luxury technology derived from the FF brand, targeted towards a broader market with middle-to-low price range offerings. FF is committed to redefining mobility through AI innovation. Join us in shaping the future of intelligent transportation and technology by creating something new, something connected, and something with a true global impact.

Your Role:

As the Senior Manager of Data Factory Operation, you will lead the mid-end functions of Data Factory, overseeing both centralized and decentralized data production pipelines. You are responsible for the end-to-end execution of large-scale data collection—ranging from environment design to real-world robot data submission—to support the training of Embodied AI (EAI) models.

Responsibilities:

Site Infrastructure & Layout Design (Centralized Operations)

  • On-demand Environment Construction: Direct the design, renovation, and construction of physical data collection sites based on specific project needs.
  • Scenario Layout: Manage the setup of diverse scenarios, including retail (supermarket shelves), light manufacturing (electronics assembly), and industrial production lines (conveyor belts).
  • Resource Management: Oversee the rental and maintenance of centralized collection robots and data processing hardware.

Large-Scale Operational Execution

  • Workforce Management: Lead the global contributor network, including the onboarding, contracting, and registration of decentralized data collectors.
  • Throughput Management: Execute high-volume collection tasks, such as the 20,000-hour industrial luggage factory requirement, managing 50+ devices across multiple shifts .
  • SOP Development: Maintain and update the "Data Collector User Manual," covering VR teleoperation instructions and sensor calibration protocols.

Standards, Quality & Acceptance

  • Standardization: Design and enforce action standards and acceptance criteria for all collected data.
  • Data Integrity: Ensure technical compliance (1080p+, 30FPS+, FOV 130+, IMU sync) and quality rejection of unstable or occluded footage .
  • Preliminary Acceptance: Supervise the screening, filtering, and clipping of raw robot data and egocentric streams before submission to clients.
  • Compliance & Privacy: Guarantee that all Visible Personally Identifiable Information (PII) is anonymized/blurred before delivery .

Client Support & Technical Liaison

  • Remote & On-site Support: Provide technical and operational support for client-specific teleoperation and data inquiry needs.
  • Feedback Loops: Continuously optimize data collection actions and execution protocols based on client feedback and model performance metrics.

Basic Qualifications:

  • Bachelor’s or Master’s degree in Robotics, Computer Science, Mechanical Engineering, Industrial Engineering, Data Science, or a related technical field.
  • 10+ years of experience in large-scale operations, robotics data collection, AI/ML data operations, manufacturing operations, operations management or aftersales.
  • Deep understanding of data privacy laws (GDPR/CCPA) and PII handling requirements .
  • Proven experience managing complex data production pipelines across centralized and distributed operational models.
  • Strong understanding of Embodied AI (EAI), robotics systems, teleoperation workflows, sensor systems, and multimodal data collection processes.
  • Hands-on experience designing and operating physical collection environments such as retail spaces, warehouses, manufacturing lines, or industrial simulation environments.
  • Demonstrated ability to scale high-throughput operations involving large device fleets, multi-shift execution, and geographically distributed contributors.
  • Experience developing and enforcing SOPs, operational standards, quality control processes, and acceptance criteria for large-scale data operations.
  • Familiarity with robotics hardware and sensors, including RGB/RGB-D cameras, IMUs, LiDAR, VR teleoperation systems, and edge compute devices.
  • Strong knowledge of data quality requirements, including video resolution standards, synchronization validation, calibration procedures, and dataset integrity checks.
  • Experience with data annotation, preprocessing, clipping, filtering, and dataset acceptance workflows for AI/ML training pipelines.
  • Understanding of privacy, compliance, and data governance requirements, including anonymization and handling of Personally Identifiable Information (PII).
  • Proven ability to manage vendors, contractors, equipment rentals, and operational budgets in fast-paced environments.
  • Strong project management and cross-functional coordination skills, with the ability to align engineering, operations, and client delivery teams.
  • Excellent analytical and problem-solving capabilities with a data-driven approach to operational optimization and continuous improvement.
  • Experience supporting enterprise or technical clients, including troubleshooting, remote operational support, and translating client feedback into process improvements.
  • Exceptional written and verbal communication skills, including documentation, reporting, and stakeholder management.
  • Willingness to travel domestically and internationally to support site launches, client engagements, and operational execution as needed.

Preferred Qualifications:

  • Technical Knowledge: Familiarity with data quality control, VR Teleoperation, and multi-modal data formats (MCAP, HDF5).
  • Experience working with humanoid robots, autonomous mobile robots (AMRs), or embodied AI model training datasets.
  • Familiarity with synthetic data generation, simulation environments, or robotics benchmarking methodologies.
  • Experience managing global contributor or crowdsourcing networks for AI data collection initiatives.
  • Knowledge of manufacturing, warehouse automation, or industrial engineering workflows.
  • Experience with cloud-based data infrastructure, data pipelines, or MLOps environments.
  • PMP, Lean Six Sigma, or other operations/project management certifications are a plus.

Annual Salary Range:

($180,000 - $200,000 DOE), plus benefits and incentive plans

Perks + Benefits

  • Healthcare + dental + vision benefits (Free for you/discounted for family)
  • 401(k) options
  • Casual dress code + relaxed work environment
  • Culturally diverse, progressive atmosphere

Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Faraday Future's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Faraday Future's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Faraday Future's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.