AI Automation Engineer, Finance & Operations
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked just now — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 2h ago
The date the source published, not the day we noticed it (2026-10-15). Last seen at its source just now.
Is it remote?
Remote US
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $150k–225k/yr
Middle 50% of 4098 listings that do state pay — Engineering · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Greenhouse employer's own board first seen just now · last seen just now
The listing
Who We Are
The Role
We are hiring an AI Automation Engineer who thrives on building durable, fast-moving solutions that unlock operational efficiency and connect people, processes, and tools across the functions that run the company.
In this role, you will serve as a hands-on builder and cross-functional partner, working with leaders and process owners across finance and operations to design and implement AI-powered workflows that make our teams more effective. You will focus on using tools like Claude and Claude Code, N8N, Glean, and direct API work against NetSuite, Salesforce, and Snowflake to automate, integrate, and scale how we work without needing to reinvent the wheel.
This is not a traditional engineering role. It is ideal for someone who loves solving complex problems at the intersection of technology and business operations, a true solutions engineer who is just as comfortable connecting APIs as sitting with an accountant to learn why a process works the way it does. You will also work closely with the AI Champions and builders already embedded across the business to align efforts, ensure adoption, and share best practices company-wide.
What You'll Do
- Find the work by partnering with process owners to map how work actually happens today, including the exceptions, the workarounds, and the steps that only live with a user. Much of the highest-value work will be work nobody filed a request for.
- Size it before you build it by defining the metric and stating the expected result up front, whether that is hours removed, cycle time, error rate, or cost avoided, then measuring the actual result once it ships.
- Build and automate smart workflows using AI agents and skills, API integrations, SQL and Python, workflow orchestration, and scripting against the systems where the work lives, taking each one from prototype to production.
- Own the connective layer by moving data cleanly between NetSuite, Salesforce, DealHub, Workday, Greenhouse, Snowflake, and the rest of the stack through APIs, webhooks, and pipelines, including the reconciliations that prove both sides agree.
- Multiply the builders already in each function by publishing the shared primitives, patterns, and templates they need, so capability compounds instead of queueing behind one person, and by maintaining the automation inventory, including retiring what no longer earns its place.
What You'll Bring
- 2-4+ years of experience in a technical, operations, or automation-focused role such as solutions engineering, business systems, RevOps, or technical program management..
- Working proficiency in at least one scripting language, plus experience integrating systems via APIs, webhooks, and data flows.
- Hands-on production experience with modern AI tooling such as Claude / Claude Code, Cursor, agent frameworks, MCP, or N8N, and informed opinions about when each is the wrong choice.
- Real depth in at least one enterprise business system and its data model.
- Strong cross-functional collaboration skills with the ability to translate business needs into clear, actionable technical solutions.
- A builder’s mindset that is creative, curious, and eager to experiment with new technologies to drive efficiency.
- Excellent communication skills and comfort working with multiple stakeholders in a fast-moving environment.
What Makes You Stand Out
- Experience in B2B SaaS, EdTech, or fintech industries.
- Familiarity with scripting or data tools such as Python, JavaScript, or SQL for customization and troubleshooting.
- Experience across a finance stack or a GTM stack (ERP, CRM, CPQ, support platforms).
- Understanding of AI-powered automation systems and data enrichment tools.
Why Apptegy
Life insurance
15 days Aguinaldo
Vales de Despensa
Fondo de Ahorro
Caja de Ahorro
Flexible paid time off policy
Paid travel to/from Little Rock, Arkansas for Onboarding.