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Technical Data Operations Lead (Alameda)
Technical Data Operations Lead (Alameda)Confidential • Alameda, CA, United States
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Technical Data Operations Lead (Alameda)

Technical Data Operations Lead (Alameda)

Confidential • Alameda, CA, United States
[job_card.1_day_ago]
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  • [job_card.full_time]
[job_card.job_description]

About the Company (Confidential)

This company is a cutting-edge AI research organization focused exclusively on advancing video data intelligence. They combine large-scale video infrastructure, novel video understanding techniques, and rich multi-source datasets to push the frontier of video modeling.

Video now represents more than 80% of global internet traffic and is the backbone of modern digital experiences : creativity tools, communication platforms, gaming, AR / VR, robotics, and more. The company exists to solve the single biggest bottleneck limiting the growth of these next-generation applications : access to high-quality, scalable, training-ready video datasets.

The team is exceptionally lean around a dozen people yet has already partnered with leading AI labs and generated multi-million-dollar quarterly revenue. Backed by top-tier investors, they are rapidly expanding their operational capacity to support an increasing volume of data initiatives.

The Role

The company is hiring its first Operations Lead , a foundational role responsible for building and scaling the entire data operations function.

This is a highly entrepreneurial position where you will work across a broad set of operational initiatives, including :

  • Establishing and managing data partnerships with content owners
  • Identifying creative and novel sources for new datasets
  • Building and scaling a distributed human workforce
  • Designing and improving human QA processes
  • Owning operational workflows that directly support engineering and customer needs
  • Driving strategic initiatives that shape the companys long-term operations roadmap

You will own these initiatives end-to-end, collaborate closely with leadership, and make decisions that significantly influence how the company grows. This role is ideal for someone who thrives in ambiguity, enjoys solving hard operational and technical problems, and wants to make an outsized impact at an early-stage AI company.

Responsibilities

  • Build and operationalize data acquisition pipelines, including partnerships, sourcing, and internal workflows
  • Develop scalable systems for human workforce management, quality control, and operational efficiency
  • Work cross-functionally with engineering to deliver high-quality datasets that meet technical specifications
  • Identify new opportunities for data expansion and operational innovation
  • Establish processes, documentation, and metrics for long-term scalability
  • Take ownership of mission-critical projects from ideation through execution
  • Act as an early strategic partner to leadership in defining operational capabilities for the companys future
  • Help shape internal culture, processes, and systems as one of the earliest operations hires
  • Requirements

    Must-Haves

  • Strong general problem-solving abilities
  • Bachelors degree in Computer Science (or equivalent technical foundation)
  • Ability and willingness to be on-site full-time at the San Francisco HQ
  • Comfort operating in undefined, high-ambiguity environments
  • Bonus Qualifications

  • 1+ years of engineering experience
  • Prior experience driving operations for an AI lab or similar technical organization
  • Experience as an early hire at a fast-paced startup
  • Demonstrated ability to build processes from scratch
  • Compensation & Benefits

  • Salary : $100,000 $160,000
  • Competitive early-stage equity
  • Health insurance
  • Free lunch and dinner daily
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