About Warp

Warp is an automated back-office platform for startups.

Warp lets you set up HR, payroll, and tax compliance for your team in just 10 mins. Using AI Agents, we automate all state tax registrations and filings, monitor for compliance across hundreds of tax jurisdictions, enabling founders to never waste time on HR ops ever again.

We have raised $24M from top investors like Y Combinator, A-Star, Elad Gil, Drew Houston (CEO, Dropbox), Arash Ferdowsi (CTO, Dropbox), Balajis, Kyle Vogt (CEO, Cruise Automation) and SV Angel.

Some of the fastest growing startups today already run on Warp. We are growing quickly, and are on track to be processing $1BN in payroll transactions annually by end of 2025. In this next phase, we have some amazing infra, engineering, product, and GTM opportunities ahead of us this year, and we are looking for exceptional members to join us for this adventure.

About The Role

As an AI/ML Engineer at Warp, you will lead our effort to use AI agents to automate the startup back office. You will architect and build secure and reliable AI systems that revolutionize HR technology. You'll have the opportunity to build a team of AI engineers through hiring, mentoring, and creating a culture of AI innovation.

What You'll Do

Lead the engineering team to architect and build AI applications to automate back-office compliance work
Be hands-on building agents from 0 to 1
Experiment with novel ways to integrate LLMs into modern financial infrastructure
Collaborate with product teams to build user-facing applications powered by AI
Be willing to live in New York City and be able to work regularly out of our office in SoHo

You would be good for this role if you

Have fun experimenting with the capabilities of the latest LLM models
Have shipped AI applications to production environments
Are passionate about using AI to revolutionize legacy workflows
Want fast-paced career growth and the opportunity to build a team

What You Need

Experience building with LLMs
Knowledge of model capabilities and best practices for building AI integrations
Strong expertise in Python or Typescript
High agency and the ability to figure things out

Compensation

On Target Earnings (OTE): $180,000–$290,000. Equity: 0.15%-0.25%

We review all applications, please do not reach out to anyone on the team.

Compensation Range: $180K - $290K

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