Engineering Manager, AgentControl

About The Job

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.

Responsibilities

• 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.

Qualifications

• 3+ years of experience in software engineering, with at least 2 years managing a team of backend or infrastructure engineers.
• Proven ability to partner with Product Management to translate business goals into engineering plans with reliable estimations.
• Strong communication skills, especially in distributed team environments with cross-timezone collaboration.
• 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.
• Familiarity with common AI providers (Anthropic, OpenAI, Bedrock, Gemini) and popular AI tooling (Langchain, Arize).
• Experience with Go and Python or comparable backend languages (Java, Rust, Ruby) is a plus.

Pay

Target pay ranges based on Geographic Zones*

• Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $191,800 - $263,670
• Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $172,600 - $237,270
• Zone 3: All other US locations - $163,000 - $224,070

All Zones Inclusive of a 10% Bonus Target

LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.

Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.

Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.