Role 01
AI Transformation Strategist
Leads executive discovery, identifies enterprise value, maps the AI-native transformation path, and turns client ambiguity into a deployment thesis.
Open Roles
Roles for people who can turn strategy into operating systems.
These are the first seats we would build around. Some may be full-time, fractional, contract, or partner-track depending on the person and the stage of the business.
Role 02
Forward-Deployed AI Engineer
Builds production workflows, agent systems, CRM writebacks, integrations, command views, and governed automation inside client environments.
Role 03
Revenue Systems Architect
Designs the operating layer across CRM, RevOps, sales process, data objects, approvals, reporting, and enterprise workflows.
Role 04
Growth Command Analyst
Translates revenue signals into decision queues, executive operating rhythms, performance views, and measurable growth interventions.
Role 05
Implementation Lead
Owns deployment execution from discovery through production, coordinating clients, engineers, operators, timelines, and governance.
Role 06
Enterprise Partnerships
Builds relationships with founders, operators, PE-backed companies, advisors, and leadership teams ready to become AI-native.
Operating Principles
We hire for judgment, ownership, and implementation range.
The work is not just technical and not just strategic. It requires the rare middle: seeing the business clearly, then building the system that changes it.
Operator First
We care about whether the system changes work inside the company, not whether it looks impressive in a demo.
High Trust
Enterprise clients need sober judgment, confidentiality, steady communication, and clean execution.
Build Close
The best infrastructure is built near the people who live with the workflow every day.
Outcome Owned
We stay attached to revenue outcomes, adoption, governance, and operating leverage after launch.
Apply
Send a serious signal.
Tell us what role you want to play in building AI-native operating infrastructure. The best applications will show evidence of operator judgment, implementation ability, and comfort with enterprise ambiguity.
- Show what you have shipped
- Explain how you think
- Be specific about your edge