Engineering Manager, Agent Oversight

Scale AI
San Francisco, New York
Workplace: HybridFull timeFunction: Software EngineeringExperience: 5+ yearsSkills: ["Leadership","Communication","Problem-solving","Mentoring","Collaboration"]

Lead and grow the AgentOps engineering team building an end-to-end platform for agent development in a fast-paced AI environment. You’ll guide product lifecycle from concept through production, design scalable back-end systems, mentor engineers, collaborate with cross-functional partners and drive technical delivery in a hybrid setup across San Francisco or New York City.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Scale AI
Scale AI
10 months ago

Engineering Manager, Agent Oversight

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Lead and grow the AgentOps engineering team building an end-to-end platform for agent development in a fast-paced AI environment. You’ll guide product lifecycle from concept through production, design scalable back-end systems, mentor engineers, collaborate with cross-functional partners and drive technical delivery in a hybrid setup across San Francisco or New York City.
Location: San Francisco, New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Manage the engineering team and drive technical delivery across the AgentOps platform.
  • •Collaborate cross-functionally with internal teams and external customers to align on requirements and delivery timelines.
  • •Oversee the full product lifecycle from conceptualization through production, ensuring scalable, reliable features.
  • •Build end-to-end features including back-end architecture, system design, debugging and testing.
  • •Inspire, mentor and grow engineers while shaping culture, values, and processes in a growing team.

Pay and Benefits

Perks:Health InsuranceRetirement BenefitsLearning BudgetCommuter BenefitsPaid Leave

Key Requirements

  • •5+ years of relevant experience with at least 2 years managing engineers
  • •Proven success leading and developing high-performing engineering teams
  • •Experience identifying product engagement patterns and trends for large-scale consumer products
  • •Track record shipping high-quality products and features at scale
  • •Ability to translate business and product ideas into engineering solutions
Experience:5+ yearsAIEnterprise SoftwareSaaS
Skills:LeadershipCommunicationProblem-solvingMentoringCollaboration
Languages:English
Tech Stack:BackendSystem designDebuggingTesting

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