Field Engineer

Decagon is hiring a Field Engineer in New York, United States. It pays $240k-$280k a year and Level rates it ; you can apply on Decagon.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
Tools and skills the posting cites include AI agents.
Level classifies it as a mid-level role.
Level lists 133 other open roles at Decagon.

AI in this role

ai-agents

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 Role

As a Field Engineer, you will own the technical scoping and implementation of the most complex requirements that Decagon's enterprise prospects and customers bring to us. You will be the technical expert and trusted advisor to enterprise prospects and customers, proving technical feasibility during the evaluation, and may carry that work through to production.

The role is dynamic and cross-functional. You will build complex integrations, configure and optimize agents that deploy into production environments, partner with Solutions Engineers, Product and Engineering to build features your accounts require, and establish technical credibility with stakeholders across the C-suite, platform engineering, and CX organizations.

In this role, you will

Own the technical win on Decagon's most critical enterprise opportunities, partnering with Account Executives, Solutions Engineers and Agent Product Managers to build software and agents that turn sophisticated, skeptical buyers into signed customers.
Design and deliver custom integrations against enterprise telephony and CCaaS platforms, carrying them from prototype through production deployment.
Configure and optimize enterprise-grade AI agents using Agent Operating Procedures, iterating against production conversation data and instrumenting the metrics required to measure improvement.
Diagnose and resolve issues in live customer instances across telephony, voice flows, tool calls, and third-party integrations in order to protect at-risk go-lives.
Lead exploratory discussions with customers to help them understand how they can use AI in their technology stack to unlock business value
Educate customers on how to extract more value from the Decagon platform through technical enablement

Your background looks something like this

Have 4+ years experience owning highly ambiguous and technical projects. This includes software engineers, ex-founders, and forward-deployed roles at high-growth technology companies.
Write production-grade code in Python, SQL, or similar languages.
You have built integrations against third-party APIs and enterprise systems, and you are comfortable working from unfamiliar documentation to get something working quickly.
You can hold your own in a technical conversation with a customer's engineering team and translate what you learn into a concrete implementation plan.
You are comfortable navigating ambiguity and collaborating cross-functionally.

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.

How we rate this

Field Engineer at Decagon rates 76 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Field Engineer is an open job at Decagon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $240k-$280k a year.
The role is based in New York City.
The job was posted on January 21, 2026.
Seniority: mid.
Applications are handled by Decagon. Apply on Decagon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agents

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: AI agents. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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