Data Operations Lead

Morpheus are partnered with an AI research lab exclusively focused on video data. Combining exabyte-scale video infrastructure, novel video understanding techniques, and dozens of data sources, they develop datasets that push the frontier of video modeling. Video makes up 80% of internet traffic and has become the enabling digital medium powering creativity, communication, gaming, AR/VR, and robotics. They exist to solve the biggest bottleneck in the growth of these applications: high-quality training data. They've partnered with top AI labs and generated significant revenue last quarter, as a team of just 15 people, and recently raised their Series A from a group of Tier 1 investors and accelerators The Role As Data Operations Lead, you'll own the day-to-day execution and scaling of their data operations platform. This is a deeply operational and semi-technical role. You'll manage their human workforce, build and improve QA processes, handle people sourcing and onboarding, and drive product ops initiatives that make the platform more efficient. A major part of this role is growth: running campaigns and experiments to expand the platform's user base, finding new sourcing channels, and driving adoption. This role is ideal for someone who is both a builder and an optimizer, comfortable getting into the weeds with tooling while also thinking strategically about scaling a complex operational machine What You'll do Operate and scale the internal data ops platform, including workforce management, task assignment, and QA workflows Drive platform growth: run acquisition campaigns, test new sourcing channels, and grow the user base through creative and scalable strategies Source, onboard, and manage a distributed human workforce for data annotation, curation, and quality review Build and improve QA processes to ensure data output meets the standards required by frontier AI labs Own product ops for the data platform, working with engineering to ship tooling improvements, track operational metrics, and identify gaps Create documentation, SOPs, and training materials for operational workflows Requirements Mixed technical and non-technical skillset, comfortable with data tooling, light scripting, and spreadsheet-level analysis Strong organisational skills and attention to detail, able to manage multiple concurrent workstreams Growth mindset with experience running or contributing to user acquisition, sourcing campaigns, or platform growth efforts Bachelor's degree in CS, STEM, or equivalent practical exp Based on site in SF office Nice to have Experience managing human-in-the-loop data operations or annotation pipelines At least 1 year of engineering experience or strong technical fluency Experience as an early hire at a startup or spearheading ops at an AI Lab Familiarity with data quality frameworks or ML data pipelines 401k and full health insurance Meals covered (breakfast, lunch, and dinner) plus snacks of your choice #J-18808-Ljbffr Morpheus Talent Solutions