Build the Agentic Decision OS
that enterprises will run on.

PhrasIQ is building the infrastructure between enterprise data and human decisions. We started in finance, one of the most demanding and audit-sensitive environments, but the problem is universal. Join us to build the systems that help organizations make better decisions.

Our mission

Make every important enterprise decision
traceable, explainable, and fast.

Most enterprise AI tools generate output and walk away. PhrasIQ closes the loop, from raw data to approved decision, with a full audit trail that every stakeholder can stand behind. We call it the Agentic Decision OS. We are starting with finance, and expanding across the enterprise.

The platform roadmap

Finance is the proving ground. The platform is the destination.

01
FP&A Intelligence
Variance attribution, rolling forecasts, scenario simulation, decision memory. The most demanding, audit-sensitive domain we could have chosen. Getting this right proves the architecture.
Live in production
02
Finance-wide OS
Expanding beyond FP&A into treasury, procurement, investor relations, and M&A diligence. The same architecture, applied to every financial decision in the enterprise.
Building toward
03
Enterprise Decision OS
The full platform, agentic decision infrastructure for every high-stakes domain: legal, compliance, operations, supply chain, people.
The long game
How we work

Things we actually believe in.

We are building systems for high-stakes decisions. The way we work has to reflect that: precise, documented, close to the people using the product, and honest before polished.

Start with the hardest domain, not the easiest
We chose finance deliberately. If you can make agentic AI trustworthy here, you can make it trustworthy anywhere.
Write things down
Decisions, reasoning, context, assumptions. A decision that exists only in someone's head or a Slack thread hasn't happened yet. Good writing is a core skill here.
Early and honest beats late and polished
Surface things early. Invite real feedback. Update fast. This applies to code, design, copy, and product direction.
Stay close to the people you're building for
Everyone on the team talks directly to the people using what we build. That connection never gets outsourced.
The honest version

What it's actually like to work here.

What to expect
Priorities change as we learn from users
Everyone contributes beyond their job description
You'll help build some of the systems you rely on
Strong opinions, open debate, and constant iteration
High standards and a fast pace
What you get
Work on one of the hardest problems in AI: auditable decision-making
Ownership that grows quickly because what you build matters immediately
Direct access to customers and the problems they're solving
The opportunity to help define an entirely new category
An async-first culture focused on outcomes, not meetings
The practical stuff

What comes with the role.

We're early-stage. We can't match Big Tech packages. What we can offer is scope, equity, and the experience of building something from the ground up that could matter at scale.

Competitive salary + equity
Market-rate salary. Meaningful early-stage equity. We're at a stage where it could matter significantly.
Remote-first, async-friendly
Work from anywhere. Default to async. Synchronous work is deliberate, not default.
Home office setup budget
Budget for tools and hardware. Your environment, your choice.
Health coverage
Medical, dental, and vision. Varies by location. We'll be transparent before you sign.
Flexible time off
Unlimited PTO that we actually mean. We track outcomes, not hours.
Learning budget
Annual budget for books, courses, conferences. If it makes you better, we fund it.