Matching Ops jobs
- Office of the CEO - Growth, Strategy and Ops $110k–$210kPalletSan Francisco or New York City on site 3+ years exp Posted Jun 5Drive growth initiatives, develop market strategies, and support sales and partnerships.
- People Ops - Dragonfly Portfolio $80k–$220kDragonflyNew York City hybrid Posted May 25Connect candidates with portfolio companies, facilitate HR processes, and manage talent relationships.
- Solutions Advisor, Legal Ops $150k–$200kGC AISan Mateo, California hybrid 4+ years exp Posted Sep 2Analyze legal processes, create AI prompts, support customer workflows, teach courses.
- SVP, Client Ops $190k–$230kOmnicom MediaNew York, New York, US 10+ years exp Posted Jun 24Lead client operations, process optimization, media workflow redesign, and financial oversight.
- Efficiency AI Ops Engineer Hybrid $203k–$259kCiscoSan Jose, California, US on site 4+ years exp Posted Sep 10Develop and optimize AI models, automate processes, and implement AI techniques in production.
- Software/Dev Ops Engineer - Level 4 - Space AHT $136k–$204kNorthrop GrummanUS-Alabama-Huntsville on site 4+ years exp Posted Aug 22Support software development for missile defense programs in a DevOps environment.
- Business Performance - Supply Chain Manufacturing Ops & AI Transformation Delivery - Manager $128k–$267kEYPalo Alto, CA, 94301, US remote 4+ years exp Posted Sep 17Lead manufacturing transformation projects integrating AI, data, and digital solutions for clients.
- Sr. Manager, Ad Ops Demand Management (UCAN) $280k–$450kNetflixNew York,New York,US remote 10+ years exp Posted Jul 23Lead digital advertising operations team, optimize campaign delivery, leverage automation and AI.
- Manager, Engineering - Dev Ops/SRE (Hybrid) $140k–$215kCrowdStrikeUS - Sunnyvale, CA hybrid 10+ years exp Posted Jun 10Lead and manage SRE team ensuring reliability, scalability, and performance of cloud security platform.
- ML Ops Infrastructure Engineer $160k–$220kDeepgramUS + 1 other location remote 4+ years exp Posted Apr 6Build pipelines, deployment, and monitoring systems for ML models at scale
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