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Описание вакансии
Текст:
TL;DR
Engineering Manager (AI): Leading the Agent Orchestration team building the runtime and control plane that coordinate model reasoning, tool use, workflows, and evaluation for production AI agents with an accent on low-latency execution, correctness, safety, and reliability. Focus on designing distributed orchestration systems, building guardrails and feedback loops, and driving architecture, incident learning, and multi-quarter delivery.
Location: San Francisco, United States; on-site
Salary: $280,000–$430,000 annually plus equity
Company
Decagon builds a conversational AI platform that enables enterprises to deliver personalized customer experiences across voice, chat, email, SMS, and other channels.
What you will do
- Build, lead, hire, coach, and develop a high-performing engineering team.
- Own the technical strategy and roadmap for the AI agent orchestration engine.
- Drive architecture for systems coordinating complex reasoning, workflows, tool calls, and action flows at scale.
- Establish reliability, testing, observability, and incident-learning standards across the orchestration stack.
- Create safety guardrails and evaluation frameworks that support fast iteration and production rollouts.
- Partner with Product, Research, Infrastructure, and Agent Engineering on requirements, trade-offs, and multi-quarter initiatives.
Requirements
- 2+ years of engineering management experience leading high-performing teams in fast-moving environments.
- Strong technical depth and an individual-contributor foundation for guiding architecture, debugging complex failures, and making trade-offs.
- Experience building distributed systems, execution engines, real-time platforms, or other high-scale systems where correctness and reliability matter.
- Experience delivering multi-quarter projects through ambiguity and creating clarity for teams and stakeholders.
- Strong focus on engineering craft, testing strategy, observability, operational excellence, and incident learning.
- Clear communication and effective collaboration across Product, Research, and Infrastructure.
Nice to have
- Experience with agent frameworks, runtimes, orchestration logic, or tool-use systems.
- Experience with evaluation, experimentation, or model-quality measurement systems.
- Experience building guardrails for safety-critical or highly reliable systems.
Culture & Benefits
- In-office environment focused on execution, experimentation, and engineering excellence.
- Medical, dental, vision, life insurance, and disability benefits for full-time employees.
- Retirement plan and parental leave.
- Fertility and family-building benefits through Carrot.
- Monthly wellness and lifestyle stipend, daily office lunches and snacks, and a flexible vacation policy subject to local requirements.
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