AI Acceleration Engineer
Decagon is hiring an AI Acceleration Engineer in San Francisco, United States. It pays $180k-$220k a year and Level rates it ; you can apply on Decagon.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Claude, Cursor and Claude Code.
- Level classifies it as a mid-level role.
- Level lists 133 other open roles at Decagon.
AI in this role
Build internal automation systems and deploy AI agents, tools, and MCP servers across Decagon's internal business functions.
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
This role rolls up into the AI Acceleration team, within the broader Finance Org today - though our mandate reaches far beyond it. We're pushing to leverage AI across the entire organization, creating multiples of efficiency in how every function operates. We partner closely across Finance, Accounting, People, Legal, and Sales to develop solutions in a meaningful way. We execute and deliver at extremely fast velocity.
About the Role
Decagon is growing fast, and we're looking for an AI Acceleration Engineer to build the systems the company runs on and make AI a practical part of how every team works.
You'll extend the platform that already serves as our source of truth for contracts and customers, automate the billing, collections, and close work that still takes days of manual effort each month, and replace processes running on spreadsheets with systems people can trust. You'll also AI-pill the rest of the company, giving them the MCP servers, skills, agents, and artifacts to automate their own work.
This isn't a role about evaluating tools and writing decks. It's a hands-on technical role: you'll own what you build and keep owning it, working directly with the people whose processes you're changing. Because this space moves every few weeks, you'll be the one deciding what's worth adopting and getting it into people's hands. If you see manual processes as problems to engineer away, and have the range to do it, this role was built for you.
In this role, you will
Own projects end to end, from requirements gathering and solution design through development, testing, deployment, and ongoing maintenance.
Build and maintain the web applications and integrations internal teams run on, from existing systems such as our internal contract and revenue platform to new tools you design and stand up from scratch.
Work with stakeholders across Finance, Accounting, Legal, People, and Recruiting to surface new use cases and areas to automate, and determine whether each calls for a custom build, an AI vendor, or a hybrid approach.
Take on major workstreams as they come up: billing, revenue recognition, usage data ingestion, and reconciliation across our internal data, the ERP, and Salesforce.
Build the interfaces that let others work with our systems through AI, including MCP servers, skills, and agent-facing tooling, and enable power users across the business to handle the simpler automations themselves.
Measure and communicate impact back to leadership: time saved, cost reduced, errors eliminated.
Your background looks something like this
You have 6+ years of hands-on experience building the internal tools, systems, and automations that business teams rely on — internal tooling, business systems, and/or revenue and finance operations.
You have owned projects across the full lifecycle, from requirements gathering through deployment and ongoing maintenance.
You're technical enough to build production-quality internal tools, but you're not looking for a product engineering role — the work here is solving business problems, and that's where you want to spend your time.
You're a strong generalist who could go deep on billing one quarter and rebuild a recruiting workflow the next.
You have sound instincts for how systems should be built — how data flows, where things break, and what it takes for someone else to maintain your work. Fundamentals matter more here than familiarity with any particular tool.
You know when a workflow calls for an agentic/AI approach and when a deterministic pipeline is the better answer.
You have hands-on experience with AI-native coding tools such as Claude Code, Codex, Cursor and have used them to ship production solutions. Coding experience is preferred: Python, TypeScript, or JavaScript; working with APIs; and deploying what you build.
You build trust quickly with Finance, Accounting, Legal, and People, and can independently drive complex projects under ambiguity without needing formal authority to get things done.
Even better if you have
You've led AI acceleration / transformation initiatives — you know the common failure modes and how to avoid them.
You have a product mindset: you don't just build automations, you build things people actually adopt and love using.
You have hands-on GCP experience — Cloud Run, BigQuery, Cloud Functions, Pub/Sub — and have built custom MCP servers, not just used them.
You've worked on billing or revenue systems, or been through an ERP implementation
Compensation
$180K - $220K + 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.
How we rate this
AI Acceleration Engineer at Decagon rates 75 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.
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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where automation was part of your work. What did you do?
- Tell me about a project where internal tools was part of your work. What did you do?
- Tell me about a project where systems engineering was part of your work. What did you do?
- Walk me through how you've used Claude in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI agents, Automation, Internal Tools, Systems Engineering, and Claude. 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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