Director, Forward Deployed Engineering

Scale AI
London
Workplace: OnsiteFull timeFunction: Executive & General ManagementExperience: 120+ yearsSkills: ["Communication","Leadership","Stakeholder management","Problem solving","Influencing"]

Lead a high-autonomy team of Forward Deployed Engineers delivering deeply integrated AI agents for Fortune 500 customers. Own end-to-end delivery across strategic accounts, drive platform-wide improvements, and partner with Product and Platform teams to scale deployments while maintaining production excellence and executive-facing stakeholder management.

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FursaFursa
Scale AI
Scale AI
3 months ago

Director, Forward Deployed Engineering

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Lead a high-autonomy team of Forward Deployed Engineers delivering deeply integrated AI agents for Fortune 500 customers. Own end-to-end delivery across strategic accounts, drive platform-wide improvements, and partner with Product and Platform teams to scale deployments while maintaining production excellence and executive-facing stakeholder management.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Executive & General Management
Seniority: Sr. Director level

Key Responsibilities

  • •Own delivery for our largest accounts. Lead end-to-end execution across our most strategic enterprise customers—scoping engagements, sequencing delivery, removing blockers, and making sharp trade-offs between scope, speed, and quality to drive production adoption.
  • •Lead and grow the team. Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set the technical bar, establish hiring standards, and build onboarding and career frameworks that let the team scale without losing intensity.
  • •Provide holistic technical oversight. Maintain a deep working understanding of every layer of what we ship—agents, models, evaluations, backend services, data pipelines, and cloud infrastructure—so you can review architectures, debug production issues, and raise the quality bar across every engagement.
  • •Engage directly with customer leadership. Forge trusted relationships with senior stakeholders at Fortune 500 customers. Translate ambiguous business problems into concrete technical roadmaps with measurable outcomes, and represent Scale at the executive level.
  • •Enforce production excellence. Set and hold the standard for reliability, security, observability, and evaluation across deployed agents—making sure the systems we ship are genuinely enterprise-ready, not just demo-ready.

Key Requirements

  • •10+ years of software engineering or technical delivery experience, including 3+ years leading high-performing customer-facing engineering teams
  • •Solid engineering background with a track record of prototype-to-production delivery and hands-on system design, code review, and debugging
  • •Proven ability to scale a delivery team, including hiring, onboarding, and operating standards for technical organizations
  • •Hands-on fluency with the full AI stack: LLMs and agent systems, evaluation frameworks, backend and API design (Python or TypeScript), data systems (PostgreSQL, DynamoDB, MongoDB), and cloud infra (AWS, Azure, GCP) including Kubernetes, Docker, IaC
  • •Experience deploying AI into complex enterprise environments with security reviews, identity/SSO, data residency, legacy integrations, and compliance requirements
Experience:120+ yearsEnterprise AIAI deploymentsCloudFortune 500
Skills:CommunicationLeadershipStakeholder managementProblem solvingInfluencing
Languages:English
Tech Stack:PythonTypeScriptPostgreSQLDynamoDBMongoDBAWSAzureGCPKubernetesDockerIaC

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