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.
Running 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.
We are looking for a Data Software Engineer to join our founding engineering team. You will help architect, build, and scale the core data systems that power Numeral. This is a foundational role with direct impact on how our product scales, how we handle complex datasets, and how we deliver value to customers.
Design, implement, and scale robust data pipelines using tools like Python, dbt, PostgreSQL, and Snowflake
Build and optimize data infrastructure to support analytics, reporting, and product features
Collaborate closely with backend engineers, product managers, and operations to ensure data flows are accurate, reliable, and scalable
Develop tools and frameworks to automate data quality checks, monitoring, and validation
Contribute to engineering best practices, documentation, and team processes as an early team member
6+ Strong experience building and maintaining data infrastructure and pipelines
Proficiency with Python and SQL
Familiarity with data warehouse tools (e.g., Snowflake) and transformation tools (e.g., dbt)
Experience working with cloud infrastructure, preferably AWS
Ability to thrive in a fast-paced startup environment, with a bias for ownership and action
Excellent problem-solving and communication skills
Prior experience in fintech, e-commerce, or tax/accounting domains
Experience working in an early-stage startup
Familiarity with CI/CD pipelines and data observability tools
Be a core builder in an ambitious, globally minded startup.
Learn hands-on how to scale international compliance systems.
Enjoy a flexible, remote-first culture with strong mentorship and ownership opportunities.
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