About the job
About Numeral:
Numeral is revolutionizing the automation infrastructure of internet commerce, beginning with the complex world of sales tax compliance. We manage everything from registration to remittance, providing an exceptional service that allows e-commerce businesses to concentrate on what they excel at: scaling their products, expanding their customer base, and enhancing their teams.
As one of the fastest-growing companies from Y Combinator's W23 cohort, we are backed by elite investors, including Benchmark Capital. Our team comprises seasoned professionals from renowned companies such as Stripe, Airbnb, and Notion; we are committed to bringing the same level of expertise, speed, and ambition to an industry that is ripe for transformation.
Numeral may be small, but we are incredibly impactful. Our rapid growth is already nearly unmanageable—every hire we make now will significantly influence our company's future. If you're eager to join as an early team member and seek the kind of ownership that can define your career, we would love to connect with you.
Mission:
Running an online business today requires juggling numerous responsibilities—most of which are not the reasons founders initiated their companies. Our mission is to alleviate the administrative and accounting burdens that divert businesses from pursuing their passions.
We have already assisted hundreds of merchants in avoiding the hassle of assembling large finance teams solely to manage tax compliance. Our vision for tomorrow is to broaden that impact even further by creating the automation layer that empowers internet businesses to remain agile, compliant, and ready for the future.
Numeral has raised over $57 million, currently serves over 2,500 paying customers, and has consistently tripled our revenue year over year.
About the Role:
We are in search of a Foundational AI Engineer who excels in ambiguous environments, enjoys constructing real-world AI systems from the ground up, and is eager to shape the technical and architectural foundations of an early-stage startup.
This role is hands-on for an individual who wishes to design and implement LLM-powered automation systems, including model orchestration, tool calling, MCP-style integrations, agentic workflows, and automation-driven tools, while also being well-versed in a traditional full-stack development environment. Familiarity with AI-powered development tools is essential.
Collaboration with product and leadership teams will be key as you turn AI concepts into production-grade systems that our customers rely on daily.

