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Engineering Manager, Agent Orchestration

Lead the Agent Orchestration team at Decagon, driving technical strategy and team development in a fast-paced environment.

Location
San Francisco
Compensation
$280k–$430k/yr
Level
lead
Type
full time · On-site

Posted by employer 7 months ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at Decagon → Save job Scanned from decagon.ai

Role intensity

10% coding — mostly leadership/strategy

Requirements

Experience
2+ years

Not disclosed in this posting: visa sponsorship.

Benefits

401k Match Take what you need vacation policy Daily lunches and snacks Wellness Stipend Fertility and family building benefits Health Insurance Parental Leave

Joblaze summary

The Engineering Manager for the Agent Orchestration team at Decagon will oversee the development and execution of the orchestration engine that underpins customer interactions across various channels. This role requires a strong technical background in distributed systems and real-time platforms, along with the ability to lead and mentor a high-performing engineering team. Ideal candidates will have experience navigating complex problem spaces and delivering projects in fast-paced environments, making this position suitable for those with a solid foundation in engineering management.

Joblaze insights

Quick facts

Is the Engineering Manager, Agent Orchestration role remote?
No — this is an on-site role in San Francisco.
What's the salary range?
Decagon lists $280,000–$430,000 for this role.
How much experience is required?
At least 2 years of relevant experience for this Engineering Manager, Agent Orchestration role.
Where is the role based?
Decagon is hiring for this position in San Francisco.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, distributed systems, real-time platforms.
What seniority level is this role?
Decagon targets lead candidates for this position.
Is this full-time or contract?
Full-time for this Engineering Manager, Agent Orchestration role at Decagon.

From the original posting

About Decagon

Decagon is the leading conversational AI platform empowering every brand to deliver concierge customer experiences.

Our technology enables industry-defining enterprises like Avis Budget Group, Block’s Cash App and Square, Chime, Oura Health, and Hunter Douglas to deploy AI agents that power personalized, deeply satisfying interactions across voice, chat, email, SMS, and every other channel.

We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships. We’re proud to be backed by world-class investors who share that vision, including a16z, Accel, Bain Capital Ventures, Coatue, and Index Ventures, along with many others.

We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values — Just Get It Done, Invent What Customers Want, Winner’s Mindset, and The Polymath Principle — shape how we work and grow as a team.

About the Team

The Agent Orchestration team builds the runtime and model orchestration layer that powers Decagon’s agents in production. This is the orchestration layer that turns workflows, tools and guardrails into a reliable, low-latency, and delightful experience for end users.

At the core of this work is the agent harness: the routing, execution logic, tool orchestration, and control-plane systems that determine how an agent behaves in a live conversation. The team owns the full execution lifecycle of each conversation—from selecting workflows and orchestrating multiple models (e.g., router/planner/supervisor patterns), to coordinating tool calls, enforcing safety constraints, and communicating back to the user.

The team operates across both real-time systems (e.g., voice interactions with strict latency requirements) and longer-horizon execution (supporting more complex reasoning and workflows). Our research shows that an agent’s task execution reliability increasingly depends on the orchestration layer that wraps around it.

This is highly experimental, frontier-style engineering. The team continuously analyzes real-world failures, builds feedback loops through offline evaluation and online experimentation, and iterates quickly to improve quality, reliability, and capability. As model capabilities evolve, the team regularly rethinks system design to push agent performance forward in production.

About the Role

We’re looking for an Engineering Manager to lead the Agent Orchestration team. This is a highly technical, player/coach leadership role at the core of Decagon’s product. You’ll lead the team responsible for the runtime and control plane that powers every agent interaction—coordinating model reasoning, tool use, and evaluation in production—and own the technical strategy and delivery for the orchestration engine behind every customer conversation.

You’ll hire and develop a high-performing team while staying close to architecture, debugging, and reliability. You’ll partner closely with Research, Infrastructure, Product Engineering, and Agent SWE to translate frontier model improvements into predictable, safe, and scalable agent behavior in real customer environments. Success requires strong people leadership, clear execution in ambiguous problem spaces, and the technical depth to drive correctness and operational excellence.

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 + Offers Equity

Benefits

We proudly offer the following benefits for our full-time employees:

  • Medical, Dental, and Vision benefits for you and your family

  • Life Insurance and Disability Benefits

  • Retirement Plan (e.g., 401K, pension)

  • Parental Leave

  • Fertility and family building benefits through Carrot

  • Monthly stipend to support your wellness, lifestyle, and work-life balance

  • Daily lunches and snacks in the office to keep you at your best

  • Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave)

These benefits are described in more detail in Decagon’s policies, may vary by location, and can change at any time according to applicable compensation and benefits plans.

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