AI Applications Ops Manager, GPS

Scale AI
Doha, London
Workplace: OnsiteFull timeFunction: Business OperationsExperience: 6+ yearsSkills: ["Communication","Leadership","Problem-solving"]

Lead production AI operations for Scale's International Public Sector team, owning the end-to-end lifecycle of full-stack AI applications deployed for international government partners. Ensure reliability, observability, sovereign data orchestration, and secure cloud infrastructure; drive incident response, translate performance metrics for senior officials, and collaborate with Engineering and ML teams to evolve architecture.

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FursaFursa
Scale AI
Scale AI
7 months ago

AI Applications Ops Manager, GPS

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Source: Company careers pageValidated by: Fursa AI
Last checked: 35 minutes agoStatus: Live

Job Summary

Lead production AI operations for Scale's International Public Sector team, owning the end-to-end lifecycle of full-stack AI applications deployed for international government partners. Ensure reliability, observability, sovereign data orchestration, and secure cloud infrastructure; drive incident response, translate performance metrics for senior officials, and collaborate with Engineering and ML teams to evolve architecture.
Location: Doha, London
Workplace: Onsite
Employment Type: Full time
Job Function: Business Operations
Seniority: Manager level

Key Responsibilities

  • •Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies.
  • •Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment.
  • •Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability.
  • •Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks.
  • •Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again.

Key Requirements

  • •6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector.
  • •Global perspective: Familiarity with international government security standards and the complexities of deploying sovereign AI.
  • •System architecture proficiency: Deep understanding of the full request lifecycle and connecting frontend/API layers to the backend and AI core.
  • •Modern AI Stack expertise: Proficiency with Kubernetes, vector databases, agentic development, and LLM observability tools.
  • •Ownership: Treat every production deployment as your own and solve hard problems before the customer sees them.
Experience:6+ yearsPublic sectorGovernmentAISREMLOps
Skills:CommunicationLeadershipProblem-solving
Languages:English
Tech Stack:KubernetesVector databasesAgentic developmentLLM observability toolsAPIsCloud

Company Brief

Scale AI
Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn