15 часов назад
Engineering Manager, AgentControl (AI)
163 000 - 263 670$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager, AgentControl (AI): Leading development and operation of offline evaluations, playgrounds, LLM-as-judges, annotated datasets, and the distributed services powering AgentControl with an accent on people management, technical leadership, and production reliability. Focus on coordinating roadmap delivery, improving observability and incident response, and building scalable AI evaluation infrastructure with Go, Python, TypeScript, AWS, and CockroachDB.
Location: Remote within the United States
Salary: $163,000–$224,070 for Zone 3, $172,600–$237,270 for Zone 2, or $191,800–$263,670 for Zone 1, plus a 10% bonus target. RSUs and health, vision, dental, and mental health benefits are provided.
Company
provides a software delivery platform for controlled feature releases, experimentation, observability, and safer application changes.
What you will do
- Lead, coach, and develop a team of backend and infrastructure engineers.
- Drive development and operation of AgentControl services for offline evaluations, playgrounds, LLM-as-judges, and annotated datasets.
- Partner with Product Management and Design to scope, estimate, sequence, and deliver roadmap items.
- Coordinate infrastructure decisions and dependencies with AI Agents, Observability, and Feature Management teams.
- Communicate roadmaps, risks, and progress to engineering leadership and cross-functional stakeholders.
- Improve production reliability, observability, incident response, team working norms, and hiring.
Requirements
- At least 3 years of software engineering experience, including 2 or more years managing backend or infrastructure engineers.
- Experience translating business goals into engineering plans and reliable estimates with Product Management.
- Strong communication skills in distributed teams with cross-timezone collaboration.
- Experience coaching and developing engineers through performance management, career planning, and technical mentorship.
- Familiarity with metrics, tracing, alerting, structured logging, and production incident response.
- Familiarity with Anthropic, OpenAI, Bedrock, Gemini, LangChain, or Arize; experience with Go and Python or comparable backend languages is a plus.
Culture & Benefits
- High-trust, transparent, humble, open, collaborative, respectful, and kind working environment.
- 10% bonus target and restricted stock units.
- Health, vision, dental, and mental health benefits.
- Equal opportunity workplace focused on team effectiveness and diversity.
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