Support becomes a financial burden.
Reactive work grows faster than the systems meant to absorb it.
Assaf Barnir · Operator + Engineer I've built and scaled customer-facing technical organizations at PubNub, Netomi, and RapidAPI — and I'm doing it today at Sentry.io. Rebuilding for the AI era is an operating-model problem.
Customer-facing engineering at scale — skin in a live org I love.
Onboarding, Support, and Customer Management for a developer platform, shaped early.
AI-native customer service from the inside — plus Sales Engineering, CSM, and Onboarding.
All the customer-facing technical orgs, for real-time infrastructure.
Professional Services and Solutions Architecture — the vendor side of the same table.
The operating pattern
The old customer organization was designed around queues, coverage, and handoffs. The next one connects technical judgment, automation, product signal, and customer trust into one operating system.
Reactive work grows faster than the systems meant to absorb it.
The hardest accounts start consuming executives, product, and engineering.
Roles, judgment, escalation, talent, and trust all move together.
❯ inspect --customer-org
Support Engineers
reactive ──▶ engineeredSales Engineers
heroics ──▶ systemSolutions Architects
one-off wins ──▶ repeatable motionCustomer Success
coverage ──▶ leverageForward Deployed Engineers
experiment ──▶ growth engineTalent
headcount ──▶ capabilityOutput: scale without gambling customer trust.
Or type it yourself
Commands
The operator
I'm an engineer who's built pre- and post-sales technical teams from the ground up — Support Engineering, Customer Success, Solutions Engineering, and Technical Account Management. I've been the first CS hire, helped other companies make their first customer-facing technical hires, and scaled those functions into world-class orgs — hiring in the hundreds along the way. I know what the table looks like from every side. I even built barnirhired — an AI job-fit tool for the same roles I've spent a career hiring.
Operator judgment
An operator who still has skin in a live org — I've earned the scars in the functions most boards only see as a cost line.
Support, SE, CS, TAM, FDE — shape, handoffs, and leverage. Not ticket theater.
Quality, escalation, ownership, kill switches. Operating model first, vendor second.
What customers and frontline technical teams are actually saying — before the dashboard lies.
Operator proof
Built, shipped, and used.
A full book and executable AI-agent skill for moving customer support from chatbot theater to a trustworthy operating model.
I wrote the field guide for the AI support migration — and shipped it as a working AI skill.
A live onboarding intelligence agent that maps how a team actually works from GitLab and Notion signals, then proposes a safe first task.
AI applied to a real org problem — grounded in how teams actually work, not how the wiki says they do.
An AI job-fit analysis tool for customer-facing technical roles — built from a career of hiring for them.
I know this talent market from both sides of the table — well enough to ship a product for it.
The Lab
Some projects exist because I couldn't not build them. The instinct is the same one I bring to the work.
A 48-turn political simulation that makes sustainable peace winnable, difficult, and legible through the systems surrounding it.
Built at an AWS Loop Hacking hackathon.
A therapeutic writing environment inspired by EMDR, designed to help difficult thoughts move instead of harden.
Interactive browser missions that teach Ada and SPARK through small systems bugs, compiler-style feedback, and proof.
Where humans and agents find each other, signal what they need, and show what they can do.
Recent signal
Latest post, latest build, latest book.
The playbook most CS leaders are running is built for a world that no longer exists.
Read → Latest buildA 48-turn political simulation where sustainable peace is winnable, difficult, and never guaranteed.
Read → Latest bookA full manuscript and executable AI skill for deploying AI in customer support without breaking trust. Free and open source.
Read →Specialists with scars get seats.
The AI era doesn't need less humanity — it needs better systems around it.
▎ Slides don't ship. I do.
▎ No calendar gate. No pitch deck required.