Engineering Manager, AgentControl

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $163k - $224.1k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

🦅 H1B Visa Sponsor

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Logo of LaunchDarkly

LaunchDarkly

201 - 500 employees

Founded 2014

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $200M Series D on 2021-08

Consulting • Healthcare • Logistics

LaunchDarkly is a software company offering a platform for feature management and experimentation. Its solutions allow developers to control software releases through feature flags, enabling safeguarded and progressive rollouts. The platform integrates with various developer tools and supports multiple programming languages to streamline deployment and improve the developer experience. LaunchDarkly's solutions cater to industries including financial services, healthcare, high tech, retail, and government, among others, providing a robust infrastructure that aids in delivering customized and targeted user experiences.

📋 Description

• 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 by improving reliability, observability, and incident response for production infrastructure • Participate in hiring to grow the team and raise the engineering bar

🎯 Requirements

• 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

🏖️ Benefits

• 10% Bonus Target • Restricted Stock Units (RSUs) • Health insurance • Vision insurance • Dental insurance • Mental health benefits

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