Engineering Manager (AgentControl)

• We’re looking for an Engineering Manager for our AgentControl Evaluations team. In this role, you’ll lead the team that builds and operates a critical part of the core AgentControl product, focused on offline evaluations, playgrounds, LLM-as-judges, and annotated datasets
• LaunchDarkly’s AgentControl team is on a mission to manage the complete software development lifecycle for shipping agents to production, from configuring to benchmarking to observing and beyond
• This team has a huge opportunity ahead of it; we’re growing fast and we need your help writing the next chapter in our story
• AgentControl is built atop critical systems such as the web application that customers interact with on a daily basis and distributed systems that power AI evaluations at scale
• These systems enable customers to control, monitor, and optimize their agent’s functionality
• You and your team will primarily work in Go, Python, and Typescript and will work directly with other technologies and tools such as AWS, CockroachDB, and Datadog
• As the Engineering Manager, you’ll bring a balance of people management and technical leadership as you drive the development of the multiple services that power this product and foster a high-performing, collaborative engineering culture
• Lead and develop a team of engineers, providing coaching, feedback, and career growth opportunities
• Partner with PM and Design to scope, estimate, and sequence roadmap items, making scope tradeoffs in real time
• Own the team’s delivery of features, ensuring completion within timelines and quality requirements
• Collaborate with adjacent teams (AI Agents, Observability, Feature Management) on shared infrastructure decisions and cross-team dependencies
• Communicate roadmaps, risks, and progress clearly to engineering leadership and cross-functional stakeholders
• Build team working norms that promote collaboration, reduce silos, and keep engineers engaged
• Drive operational excellence — improve reliability, observability, and incident response for production infrastructure
• Participate in hiring to grow the team and raise the engineering bar

Benefits

• Full Vision
• Full Dental
• Full Medical
• Flexible Schedule
• Healthy Lunches & Snacks
• Conference & Meetup Access
• Education Stipend
• Personalized Work Station
• Close to Public Transportation
• Bike Parking
• Team Activities
• Unlimited paid time off policy
• Work from home opportunities
• Health insurance- Experience with Go and Python or comparable backend languages (Java, Rust, Ruby) is a plus
• Track record of coaching and developing engineers, including performance management, career growth planning, and technical mentorship
• Familiarity with observability practices (metrics, tracing, alerting, structured logging) and comfort with production incident response
• Proven ability to partner with Product Management to translate business goals into engineering plans with reliable estimations
• 3+ years of experience in software engineering, with at least 2 years managing a team of backend or infrastructure engineers
• Familiarity with common AI providers (Anthropic, OpenAI, Bedrock, Gemini) and popular AI tooling (Langchain, Arize)
• Strong communication skills, especially in distributed team environments with cross-timezone collaboration