Engineering Manager, Agent Orchestration
Leads Agent Orchestration team building core execution layer for AI agents, coordinating model reasoning, tool use, and evaluation at scale. Requires 2+ years engineering management, strong IC technical depth in distributed systems, and cross-functional collaboration.
About the job
In this role, you will
- Build, lead, and develop a high performing team of engineers, including hiring, coaching, and performance management.
- Own the technical strategy and roadmap for Decagon’s orchestration engine, balancing speed of iteration with correctness and safety.
- Drive architecture for systems that coordinate complex reasoning and action flows at scale.
- Set reliability, testing, and observability standards across the orchestration stack, and build an operating cadence that prevents repeated incidents.
- Create frameworks and guardrails that enable fast, safe iteration on agent behavior, evaluation, and rollout.
- Partner with Product, Research, and Infrastructure teams to define requirements, navigate tradeoffs, and ship multi-quarter initiatives that move core company metrics.
Your background will look something like this
- Have 2+ years of engineering management experience leading high performing teams in fast-moving environments.
- Have strong technical depth and an IC foundation that enables you to guide architecture, debug complex failures, and make sound trade-offs.
- Have experience building distributed systems, execution engines, real-time platforms, or other high scale systems where correctness and reliability matter.
- Have a track record of delivering multi-quarter projects through ambiguity, creating clarity for your team and stakeholders.
- Care deeply about engineering craft and operational excellence, including testing strategy, observability, and incident learning.
- Communicate clearly and collaborate well across Product, Research, and Infrastructure teams.
Even better if you 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.
Compensation
$280,000 - $430,000 + equity
Skills
Distributed Systems, Agent Frameworks, Orchestration, LLMs, Observability, Testing, Real-Time Platforms, Evaluation Systems, Execution Engines
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