Numeral is building the automation backbone for internet commerce — starting with the painful world of sales tax compliance. We handle everything from registration to remittance, delivering a white-glove service so e-commerce businesses can stay laser-focused on what they do best: growing their products, customers, and teams.
We’re one of the fastest-growing companies from Y Combinator’s W23 batch, backed by top-tier investors including Benchmark Capital. Our team has deep roots from the early days at Stripe, Airbnb, Notion, and other breakout companies — and now we’re bringing that same level of craft, speed, and ambition to a space that’s long overdue for reinvention.
Numeral is small but mighty. Growth is already borderline unmanageable — which means every hire we make now will directly shape the trajectory of the company. If you’re excited about joining as an early team member and want the kind of ownership that defines careers, we want to meet you.
MissionRunning an online business today means wearing a thousand hats — most of them not the reason founders started their company. Our mission is to eliminate the administrative and accounting burdens that distract businesses from doing what they love.
We’ve already helped hundreds of merchants avoid the headache of building giant finance teams just to manage tax compliance. Tomorrow, we’re scaling that impact even further: building the automation layer that lets internet businesses stay nimble, compliant, and future-proof.
About the role:We’re hiring our first AI Automation Engineer to lead how we apply AI internally across Numeral. This is a rare opportunity to build the foundation for AI-assisted operations and tooling across every function of the company — from tax ops and onboarding to engineering and GTM.
You’ll work across the company to identify bottlenecks and build pragmatic, AI-powered solutions that unlock efficiency, precision, and scale. You’ll have access to the latest models via Poe and other frontier tools, and your work will directly impact our team’s productivity and our customers’ experience.
This role is ideal for an experienced engineer who’s pragmatic, curious, and deeply motivated by making real-world systems better — not just prototyping for the sake of novelty.
Responsibilities:Design and implement internal tools that automate repetitive workflows and increase operational leverage
Use AI to streamline your own development process and improve iteration speed
Partner across Engineering, Tax Operations, GTM, and Product to identify automation opportunities
Build MVPs that provide immediate value, then iterate quickly based on user feedback
Maintain, debug, and scale AI-assisted internal services in production
Act as a high-trust owner of tools that interface with sensitive or business-critical workflows
5+ years in full-stack engineering roles, ideally in early-stage or fast-moving environments
Proficiency with Python, JavaScript, and React
Familiarity with building and maintaining production systems
Deep understanding of LLM tooling, prompt design, and AI integration
Ability to identify impactful internal problems and independently drive projects to completion
Experience working cross-functionally and empathetically with non-technical stakeholders
Experience working with vector databases, agents, or LangChain
Prior experience building internal dev tools or automations
Interest in improving operational rigor, velocity, and tooling across a growing company
Be a core builder in an ambitious, globally minded startup.
Learn hands-on how to scale international compliance systems.
Work across functions and with leadership early in your career.
Make a visible impact immediately through enablement and operational design.
Enjoy a flexible, remote-first culture with strong mentorship and ownership opportunities.
Top Skills
Similar Jobs
What you need to know about the Colorado Tech Scene
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute