×
WHIRL AI
AI agents for enterprise IT operations, the foundational context layer that makes Enterprise AI actually work inside complex organisations
Last verified August 15, 2026 · Updated daily
What WHIRL AI is building
Enterprise AI keeps stalling for a specific, well-documented reason: the AI has no idea how your systems actually work. Every large enterprise runs on a tangle of customised ERP configurations, undocumented API integrations, workarounds built by people who left three years ago, and business logic that exists nowhere except in institutional memory. When you ask an AI agent to change a core business process inside that environment, it is operating blind. The result is enterprise AI stuck in pilot phase permanently. Whirl AI is building the context layer that fixes this. The platform continuously ingests metadata from enterprise systems and converts it into a living, searchable knowledge base, maintaining real-time system intelligence that updates as environments change: which applications exist, how they are configured in practice, what integrations depend on what, what the actual business processes are versus what the documentation says. Purpose-built AI agents then operate on top of that context to help IT teams research, design, develop, implement, and test changes to applications and integrations, compressing work that previously took weeks into hours.
Why this matters
ICONIQ is primarily a growth-stage fund. They have backed Snowflake, Figma, Workday, and ServiceNow. Leading a seed round is so unusual for ICONIQ that they made it their headline: this is described as "one of ICONIQ's earliest ever investments." The partner who led it, Matt Jacobson, worked alongside Sunny Bedi directly at Snowflake and had a front-row view of the exact operational problem Whirl is solving. His public statement is unusually specific: "The problem Whirl solves is not theoretical to him. He lived it firsthand, at scale, for two decades." The angel roster from Okta, Splunk, and VMware represents three of the most consequential enterprise software companies of the last twenty years. These are people who built and sold to enterprise IT at scale and understand the problem firsthand. The competitive context is also instructive: Glean raised a $150M Series F at a $7.2B valuation in June 2025, and Moveworks was acquired by ServiceNow in March 2025. The market for enterprise AI context and intelligence layers is validating rapidly, and Whirl is at the earliest possible entry point.
Open roles at WHIRL AI
3 positions we're tracking. Roles are re-checked daily and removed when filled.
Hiring outlook
Very High. ICONIQ leading their first-ever seed investment is the most distinctive signal on this list. Matt Jacobson worked alongside Sunny at Snowflake personally. The company page explicitly states "Production AI experience. Enterprise standards. Startup speed. If that sounds like you, we are hiring."
Working at WHIRL AI
WHIRL AI is AI agents for enterprise IT operations, the foundational context layer that makes Enterprise AI actually work inside complex organisations, founded in and now <50 people. What this means for you: broad remit, direct access to founders, and equity that still means something if the company works out.
San Francisco is where most WHIRL AI positions are located.
Frequently asked questions
How many jobs does WHIRL AI have open?
We're tracking 3 active openings at WHIRL AI (verified April 2026).
Does WHIRL AI hire remotely?
Currently, WHIRL AI only has in-office roles in San Francisco.
What roles is WHIRL AI hiring for?
WHIRL AI is hiring across Engineering, Sales, Customer. The most recent opening is Senior AI / Platform Engineer.
How do I apply for a job at WHIRL AI?
Click through to apply, or see our detailed guide on landing a job at WHIRL AI.
Where is WHIRL AI based?
WHIRL AI is headquartered in San Francisco, US.
Get WHIRL AI roles before they're posted
Get AI jobs like these before they hit LinkedIn. We track companies like WHIRL AI daily.
Get early access →