> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # AI Acceleration Engineer Canonical URL: https://nextmove.md/fde/jobs/33936cf53f20218a Decagon posts a FDE role to build for teams inside the company in San Francisco, CA, at $180,000–$220,000 base, above the senior FDE median of $190,000 across 1,864 postings with pay. Decagon is hiring an AI Acceleration Engineer to build internal systems and drive AI adoption across the company, focusing on finance, billing, and revenue operations. Read from the employer’s posting on November 8, 2026. - [Decagon](https://nextmove.md/fde/companies/decagon) Posted Sep 1, 2026 by Decagon · open on Ashby as of Nov 8, 2026 **$180,000–$220,000** + equity San Francisco, CA On-site Full-time Decagon is hiring an AI Acceleration Engineer to build internal systems and drive AI adoption across the company, focusing on finance, billing, and revenue operations. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F33936cf53f20218a&placement=top) - [View posting at Decagon](https://jobs.ashbyhq.com/decagon/c68de30e-1293-48bd-8f8e-dbbbb7d204b9/application) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay $180K–$220K Above the median Midpoint $200K · median $190K This job $180K to $220K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Builds for teams inside the company Balance **Mostly building** Project stages 1. Pre-sales (not covered) 2. Proof of concept (not covered) 3. Implementation 4. Operations - **Coding**: Writes production code - **Builds for**: Internal teams - **Level**: Senior - **Role**: Technical lead ### What they ask for Experience - **6+ years** Hands-on experience building internal tools, systems, and automations for business teams, including internal tooling, business systems, and/or revenue and finance operations Background - **Software engineering** ### Do you meet what the posting states? The posting asks for 6+ years. How many do you have? The posting reads as a senior role. What level are you at now? The job is in San Francisco, CA. Could you work there? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: San Francisco, CA - **Work arrangement**: On-site - **Employment type**: Full-time - **Pay**: ## More like this [Baseten](https://nextmove.md/fde/companies/baseten) ### [AI Engineer](https://nextmove.md/fde/jobs/738b7098fab36184) San Francisco, CA Hybrid 1mo ago $175,000–$190,000 [AssemblyAI](https://nextmove.md/fde/companies/assemblyai) ### [Senior GTM AI Engineer](https://nextmove.md/fde/jobs/f11b9f241b74e158) San Francisco, CA 2mo ago $160,000–$220,000 [Applied Compute](https://nextmove.md/fde/companies/applied-compute) ### [GTM AI Engineering](https://nextmove.md/fde/jobs/4aed0be0305443e1) San Francisco, CA On-site 2w ago $160,000–$240,000 - [Other jobs at Decagon (11)](https://nextmove.md/fde/companies/decagon) ## The job description from Decagon Posted by Decagon on Sep 1, 2026 ### 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.* [View posting at Decagon](https://jobs.ashbyhq.com/decagon/c68de30e-1293-48bd-8f8e-dbbbb7d204b9/application) ## About Decagon Omnichannel AI concierge platform for enterprises, unifying voice, chat, and email agents with shared memory and workflow execution. 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