Matching Ops jobs
- Solutions Advisor, Legal Ops $150k–$200kGC AISan Mateo, California remote 4+ years exp Posted Sep 2Optimize legal workflows with AI, draft prompts, advise customers, drive adoption, and teach legal AI courses.
- Head of GTM Strategy & Ops - Global Partnerships $210k–$256kFireworksSan Mateo remote 7+ years exp Posted Oct 20Build and run partnership strategy, pipeline forecasting, analytics, planning, and operating processes across sales, finance, and partner teams.
- ML Ops Infrastructure Engineer $160k–$220kDeepgramUS - Remote remote 4+ years exp Posted Apr 6Build pipelines and infrastructure for deploying ML models at scale
- Vice President Sales — Data Ops $200k–$250kBill Gosling OutsourcingUS - Remote remote 7+ years exp Posted Oct 15Build BGO’s enterprise sales motion, prospect for new clients, develop pipeline, and close large AI-first outsourcing deals.
- Backend Engineer, Ops Engineering $168k–$285kRampNew York, NY (HQ) remote 5+ years exp Posted Apr 20Build and scale backend services, APIs, and AI-powered internal tools that help operations teams work efficiently.
- Staff Platform Manager - GTM & Ops Tooling $200k–$240kAirbnbUS remote 10+ years exp Posted Sep 24Manage and improve Airbnb's operations platform, integrating AI and automation.
- Generalist (Talent Ops) $105k–$200kKairosRemote Posted Sep 27Identify and support promising AI safety talent, make referrals, track outcomes, and contribute to cross-team projects.
- GTM Strategy & Operations Lead (Legal & Field Ops) $128k–$205kAffirmRemote US 6+ years exp Posted Oct 16Own go-to-market operations, translating product and pricing initiatives into field-ready processes and tracking customer adoption.
- Senior Client Delivery Lead - Ops $150k–$200kKrakenNew York remote Posted Oct 11Lead utility transformation workstreams, coach client leaders, embed operational processes, and build organizational capability across North American utilities.
- Member of Technical Staff - ML Ops $185k–$245kVinciPalo Alto HQ remote 5+ years exp Posted Oct 31Build and operate scalable simulation-data pipelines, GPU job scheduling, dataset lineage, and ML training lifecycle systems.
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