---
title: 'Agent Deployment Engineer at Decagon'
canonical: 'https://feeny.ai/job/agent-deployment-engineer-decagon-san-francisco-cynv8yhgbd08'
type: 'job'
last_seen: '2026-09-05'
---

# Agent Deployment Engineer at Decagon

- **Company:** [Decagon](https://feeny.ai/companies/decagon)
- **Location:** San Francisco, CA
- **Compensation:** $175k–$230k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-01-20
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/decagon/8c40fb7a-5f25-4112-a1df-f1c22b81042c/application

**Skills:** API integration, Agent configuration, Agent validation, Code writing, System testing, LLM development, Prompt engineering, AI agent evaluation, Enterprise SaaS integrations, CRM integration, Data pipeline integration, Security compliance

> The Customer Engineer, Agent Builder owns end-to-end execution of AI agent builds for strategic customers, partnering with internal teams to translate requirements into build plans. This role involves writing agent configurations, validating integrations, and ensuring reliable performance at scale while interfacing...

## Job description

## 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

Over the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require hands-on execution, rigorous iteration, and deep technical delivery to reach enterprise-grade performance.

We’re creating an Agent Deployment Engineering Org: a specialized technical delivery team responsible for end-to-end execution of AI agent builds. Agent Deployment Engineers own the hands-on work required to deliver best-in-class agents—writing and configuring key components, validating integrations, and ensuring agents perform reliably at scale. This team brings greater specialization and focus to build quality. Agent Deployment Engineers are technical and customer-facing: you’ll interface with senior technical stakeholders on the customer side while also going deep on agent configuration and build execution.

## About the Role

As an Agent Deployment Engineer, you will be responsible for end-to-end execution of AI agent builds for strategic customers. This is a highly technical delivery role where you will own the implementation work required to launch and scale enterprise-quality agents—partnering with customers and internal teams to define success, translate requirements into build plans, and deliver agents that meaningfully impact the customer’s business.

You’ll work closely with Agent PMs, Agent Success, Engineering, and GTM teams to create tight feedback loops: executing builds, surfacing gaps, and influencing the evolution of Decagon’s agent-building platform based on real customer needs. This role is ideal for someone who thrives in fast-moving environments, enjoys shipping customer-facing technical work, and can balance hands-on execution with structured thinking.

In this role, you will

- Own end-to-end architecture and execution of AI agent builds for enterprise customers, from systems design and initial scoping through implementation, evaluation, and production deployment.
- Design and engineer the core agentic logic governing agent behavior, applying engineering principles to optimize quality, reliability, and correctness across non-deterministic model outputs.
- Engineer and validate layered guardrails and supervisory controls to ensure safe, compliant, and predictable agent performance across real-world scenarios.
- Architect, build, and test integrations with customer systems (e.g., data pipelines, CRMs, ticketing systems), including building the tools, APIs, and workflows needed for reliable deployments at scale.
- Interface with senior technical stakeholders at customers to define success criteria and system requirements, and drive technical delivery against timelines.
- Diagnose, debug, and resolve both probabilistic and technical failures through root-cause analysis of execution traces, error logs, and model behavior.
- Design evaluation and regression-testing frameworks to validate agent behavior against ground truth and guard against performance drift.
- Translate customer needs into clear internal documentation and run tight feedback loops with Engineering to drive platform improvements.
- Partner closely with APMs, Engineering, Design, and Go-To-Market teams to deliver consistent, repeatable, best-in-class agent builds.

## Your background looks something like this

- Have 5+ years of relevant experience in a technical customer-facing role (e.g., solutions engineering, forward-deployed engineering, technical consulting, implementation engineering, technical product/PM, or similar).
- Strong technical foundation: comfortable writing code, working with APIs, and building/validating integrations end-to-end.

Experience delivering production-grade customer solutions that require structured execution, testing/validation, and iteration.

- Ability to communicate clearly with senior technical stakeholders, translate requirements into implementation plans, and drive delivery.
- Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.

Even better if you have

- Experience building with or around LLMs / AI agents (prompting, evaluation, guardrails, tooling, workflow design, etc.).
- Experience with enterprise SaaS integrations (e.g., ticketing systems, CRM, data pipelines) and associated security/compliance considerations.
- A Computer Science, Engineering, or Math degree, or equivalent technical experience.
- Strong product instinct: ability to write crisp PRDs, define success metrics, and contribute customer insight back into product roadmap.

## Compensation

$175K – $230K • 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.

## About Decagon

## Company Overview
- **One-liner**: Decagon is an AI customer support platform that enables enterprises to deploy autonomous AI agents for concierge-level customer experiences across voice, chat, email, and other channels.
- **Entity Type**: Private (Series B, $481M total funding)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2023
- **Founders**: Jesse Zhang (CEO) and Ashwin Sreenivas (CTO)

## Core Business
- **Primary industry**: AI-powered customer support software / Enterprise conversational AI
- **Target customers**: B2B, mid-market to enterprise (e.g., Avis Budget Group, Chime, Oura Health, 1-800-FLOWERS.COM, Hunter Douglas, Duolingo, Curology, Valon)
- **Mission or purpose**: "Build a future where customer experiences are being redefined from support tickets and hold music to faster resolutions, richer conversations, and deeper relationships."

## Products & Services
- **[Decagon AI Concierge Platform](https://decagon.ai/)**: Unified omnichannel AI agent handling chat, voice, and email — powered by natural-language Agent Operating Procedures (AOPs) for workflow definition and an analytics suite for continuous optimization.
- **[Decagon Voice AI](https://decagon.ai/product/voice)**: Fast, intelligent voice agents built for natural dialog, fully customizable to brand tone, claiming 50%+ deflection on voice and 70% chat+voice resolution.
- **[Decagon Chat](https://decagon.ai/product/chat)**: Flexible, personalized chat agent that executes complex workflows reliably, claiming 80% deflection rate and 32% cost reduction.
- **[Decagon Email](https://decagon.ai/product/email)**: Always-on, intuitive email agent that resolves issues quickly, reporting 1M+ revenue from fully AI-handled conversations and 3x CSAT increase.
- **[Duet Autopilot](https://decagon.ai/)**: Newer product tier (announced 2025) for autonomous, end-to-end handling of customer interactions.

## Market Standing
- **Valuation**: ~$4.5B (Series B round led by Coatue Management and Index Ventures, tripling valuation in under six months as of late 2025/early 2026) [jobsbyculture.com](https://jobsbyculture.com/blog/working-at-decagon-2026)
- **Total Funding**: USD $481,000,000 across 7 rounds [LinkedIn](https://www.linkedin.com/company/decagon-ai)
  - Seed (Jun 2024): $5M led by a16z
  - Series B (Oct 2024): $65M led by Bain Capital Ventures
  - Venture Round (Nov 2025): undisclosed amount, 1 investor
- **Notable Investors/Partners**: Andreessen Horowitz (a16z), Accel, Bain Capital Ventures, Coatue Management, Index Ventures, Elad Gil [jobsbyculture.com](https://jobsbyculture.com/blog/working-at-decagon-2026)
- **Growth Signals**:
  - 311 employees (+325.3% YoY) as of mid-2026
  - 100+ enterprise customers
  - Over 60,000 LinkedIn followers (+274.8% yearly growth)
  - Active in 7 countries (US, UK, Ireland, Germany, Netherlands, Philippines, Nigeria)
  - 134 active job postings (+332.3% yearly growth)
  - Key talent sourced from Verkada, Scale AI, Bain & Company, Glean, Databricks, xAI, Salesforce, TikTok, Five9

## Competitive Advantages
- **Proven enterprise adoption**: Deployed at major brands (Chime, Avis, Oura, Duolingo) with highly publicized results — e.g., Oura reported 95% chat+voice resolution, Curology 80% deflection, and one customer saw "10x higher deflection at launch than anticipated" [decagon.ai](https://decagon.ai/)
- **Omnichannel by design**: Unified chat, voice, and email on a single intelligence layer — a rare end-to-end approach vs. point solutions for just chat or voice.
- **Natural-language AOPs**: Agent Operating Procedures in plain English, enabling non-engineers to define and iterate on agent workflows without engineering support — faster iteration and less vendor lock-in.
- **Elite investor syndicate**: Backed by the top enterprise AI investors (a16z, Accel, Coatue, Index, Bain Capital Ventures), signaling strong confidence and access to a broad network.
- **Founding team pedigree**: Founded by former executives/engineers from high-growth AI companies (Jesse Zhang and Ashwin Sreenivas have backgrounds from fast-scaling AI startups).

## Strategic Focus
- **Scaling enterprise sales**: Actively hiring Enterprise Account Executives, Implementation Managers, and Strategic Account Directors [LinkedIn](https://www.linkedin.com/company/decagon-ai)
- **Deepening voice capabilities**: Staff Research Engineer and Senior Research Engineer for Voice + Speech roles signal heavy investment in voice AI quality and differentiation [LinkedIn](https://www.linkedin.com/company/decagon-ai)
- **International expansion**: Established offices in London (UK), plus presence in Ireland, Germany, Netherlands, and Philippines — recruiting across all regions.
- **Product velocity**: Emphasis on rapid iteration and continuous improvement of agents; building out analytics suite (Decagon Insights) and Duet Autopilot for fully autonomous operation.

## Why Work Here
- **Culture**: Described as "Eng-Driven, Ship Fast, Equity, Product Impact" by employees. Values include: "Just get it done," "Invent what customers want," "Winner's mindset," "The Polymath Principle" (cross-functional collaboration) [decagon.ai/careers](https://decagon.ai/careers)
- **Compensation**: "We hire the best and treat them accordingly" — competitive compensation philosophy; Glassdoor rating: 3.9/5.0 (257 reviews), Compensation: 5.0/5.0 in Glassdoor-style internal review [jobsbyculture.com](https://jobsbyculture.com/blog/working-at-decagon-2026)
- **Benefits**:
  - 100% medical, dental, and vision coverage for dependents
  - 401k and FSA/commuter benefits
  - Flexible PTO + company-wide winter break shutdown
  - Free daily lunches, dinner, and snacks at HQ
  - Wellness programs and company events [decagon.ai/careers](https://decagon.ai/careers)
- **Remote/Hybrid/Office**: HQ in San Francisco (2261 Market Street); London office (50 York Way). Roles span remote, hybrid, and on-site options based on job postings.
- **Engineering culture**: 89 technical employees (21% of workforce), Staff/Senior Research Engineer roles for Voice + Speech; "Build, optimize, and scale AI agents" is core identity. Alumni go on to OpenAI, Datadog, Postman, Accel — strong talent pipeline.
- **Growth trajectory**: 134 open roles; 300+% headcount growth YoY; $4.5B valuation at 3 years old — extremely high-growth environment ideal for career acceleration.
- **Notable perk**: "We’re building a future where customer experiences are being redefined from support tickets and hold music to faster resolutions" — employees report high product impact and ownership.

## Sources
1. [decagon.ai](https://decagon.ai/)
2. [decagon.ai/careers](https://decagon.ai/careers)
3. [LinkedIn - Decagon](https://www.linkedin.com/company/decagon-ai)
4. [jobsbyculture.com - Working at Decagon 2026](https://jobsbyculture.com/blog/working-at-decagon-2026)
5. [dealroom.co - Decagon profile](https://dealroom.co/companies/decagon/)

## Other roles at Decagon

- [Engineering Manager, Research](https://feeny.ai/job/engineering-manager-research-decagon-san-francisco-p4c837fyqnby) — San Francisco, CA
- [Research Engineer, Audio and Speech](https://feeny.ai/job/research-engineer-audio-and-speech-decagon-san-francisco-b8k43356nm2g) — San Francisco, CA
- [Research Engineer, Safety](https://feeny.ai/job/research-engineer-safety-decagon-san-francisco-ddrp6e2n67s0) — San Francisco, CA
- [Senior Research Engineer, Safety](https://feeny.ai/job/senior-research-engineer-safety-decagon-san-francisco-25bb5evf72c7) — San Francisco, CA
- [Growth Marketing Manager, Paid Social](https://feeny.ai/job/growth-marketing-manager-paid-social-decagon-san-francisco-3ejhkdsjb3pp) — San Francisco, CA
- [AI Acceleration Engineer](https://feeny.ai/job/ai-acceleration-engineer-decagon-san-francisco-2v40s7e6zm4t) — San Francisco, CA
- [Business Systems Manager](https://feeny.ai/job/business-systems-manager-decagon-san-francisco-eza2f6xc5sb5) — San Francisco, CA
- [Growth Engineer, Web & Growth Products](https://feeny.ai/job/growth-engineer-web-growth-products-decagon-san-francisco-8p1n2g7bcvm1) — San Francisco, CA
- [Senior Agent Product Manager](https://feeny.ai/job/senior-agent-product-manager-decagon-brazil-pm3tnqz1p795) — Brazil
- [Senior Product Designer](https://feeny.ai/job/senior-product-designer-decagon-san-francisco-94fab3a5c125) — San Francisco, CA