{"schemaVersion":"jobsearcher.job.v1","id":"602e4b56b5663af19bef2e11","url":"https://jobsearcher.com/jobs/602e4b56b5663af19bef2e11","canonicalUrl":"https://jobsearcher.com/jobs/602e4b56b5663af19bef2e11","title":"Data Ops","description":"Salary $120k+ base with performance based bonusData is the lifeblood of our models. In this role you will own the end-to-end data pipeline — sourcing, negotiating, and closing large-scale data contracts, then building the operational processes to get that data to the research team quickly and reliably. You will sit at the intersection of the research team, third-party data providers, and customers.Why you may want to joinOwn a critical function — the quality of our data directly determines the quality of our modelsUnusual mix of negotiation, operations, and technical work rarely found in one roleWork with actors, directors, and creative professionals alongside a world-class research teamHigh autonomy to design processes from scratch at a fast-growing companyWhat you will doNegotiate and manage large data licensing and acquisition contractsDesign and run operational workflows that move data from source to training pipelineBuild lightweight internal tooling and automation to scale data operationsCoordinate across research, engineering, and external partners to unblock model developmentRun processes for actors and directors involved in data capture sessionsTypical backgroundsTop STEM programsInvestment banking or private equityManagement consulting (e.g. McKinsey, BCG, Bain)Operations roles at high-growth startupsWhat is the interview process?\r\nStep 1: Introduction CallAssess your fit from a skill perspectiveAssess your fit from a culture perspectiveGive you a chance to ask questions and find out moreYou will spend time with the team in person, learning about the problems we face across data sourcing, pipeline operations, and partner coordination. You will share your own insights, discuss challenges, and work through real scenarios together.Step 3: On-site\r\nYou will spend 2–5 days in person with the data ops team. Depending on the situation you would either work through an operational challenge the team has already tackled, take on a new data pipeline or vendor coordination problem with the team, or another activity that seems productive with two aims:Helping the data ops team get a sense of working with youHelping you get a sense of working with the data ops team#J-18808-Ljbffr","company":"Canopy Labs","rawCompany":"canopy labs","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-08T01:17:12.005Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"13-1199.00","title":"Business Operations Specialists, All Other","slug":"business-operations-specialists-all-other"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Ops","description":"Salary $120k+ base with performance based bonusData is the lifeblood of our models. In this role you will own the end-to-end data pipeline — sourcing, negotiating, and closing large-scale data contracts, then building the operational processes to get that data to the research team quickly and reliably. You will sit at the intersection of the research team, third-party data providers, and customers.Why you may want to joinOwn a critical function — the quality of our data directly determines the quality of our modelsUnusual mix of negotiation, operations, and technical work rarely found in one roleWork with actors, directors, and creative professionals alongside a world-class research teamHigh autonomy to design processes from scratch at a fast-growing companyWhat you will doNegotiate and manage large data licensing and acquisition contractsDesign and run operational workflows that move data from source to training pipelineBuild lightweight internal tooling and automation to scale data operationsCoordinate across research, engineering, and external partners to unblock model developmentRun processes for actors and directors involved in data capture sessionsTypical backgroundsTop STEM programsInvestment banking or private equityManagement consulting (e.g. McKinsey, BCG, Bain)Operations roles at high-growth startupsWhat is the interview process?\r\nStep 1: Introduction CallAssess your fit from a skill perspectiveAssess your fit from a culture perspectiveGive you a chance to ask questions and find out moreYou will spend time with the team in person, learning about the problems we face across data sourcing, pipeline operations, and partner coordination. You will share your own insights, discuss challenges, and work through real scenarios together.Step 3: On-site\r\nYou will spend 2–5 days in person with the data ops team. 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