Our Culture
Our internal culture isn't separate from what we sell. Every process we recommend to clients, we run internally first. Every AI tool we deploy for clients, our engineers use daily. We eat our own cooking. That's how we know the recipes work.
How We Work Internally
The AI-augmented workflows we use with clients? We built them for ourselves first. Every process that makes us faster for clients is a process we use internally. No double standards. No "do as I say, not as I do."
We don't use separate tools for internal and client work. Our AI-powered development environment, automated testing frameworks, and documentation systems are the same ones that ship client code. When we find a better way to work, we use it everywhere.
Every piece of code that gets written is automatically tested, reviewed, and deployed. We don't have "deploy days" — we have continuous delivery. The code you want shipped is shipped as soon as it's ready, not at the end of a sprint.
We don't require real-time availability. Our distributed team works in their own time zones, communicates asynchronously, and has overlapping hours only when needed for sync points. No one burns out because someone needed an answer at midnight.
Not enterprise IT maintenance. Not CRUD apps. Challenging AI problems that require actual engineering thinking.
Small team, flat structure. The fastest path from "good idea" to "deployed" is as short as we can make it.
Our AI-native workflow is something most engineers have never experienced. Fast, intelligent, and always improving.
Follow-the-sun means no one is on-call at 2am. Problems get handled by the team in their timezone.
Global Team Structure
Most distributed teams are just async — they work independently but don't actually cover each other. A blocker found at 5pm waits until 9am.
Our distributed model is different. We have teams across US and Europe that deliberately overlap and hand off work. When US goes home, Europe continues. By the time US wakes up, there's fresh work waiting.
The result: Extended productive hours, zero overtime, and no one on call at midnight.
US (EST/New York)
Primary coverage
Europe (UK/London)
Extended coverage
We're always looking for senior engineers who want to work on interesting AI problems, use cutting-edge tools, and never be on-call at 2am.
Every engineer at ASP uses AI tools daily. This isn't optional and it isn't aspirational — it's a job requirement. We use AI for sprint planning, code development, code review, testing, documentation, internal communication summaries, and project management. When we tell a client that our methodology delivers 2-3x speed, it's because we've measured it on our own work first.
Before any human reviewer sees a pull request, AI tools have already scanned it for security vulnerabilities, test coverage gaps, style violations, and architectural deviations. The human reviewer's time goes to logic and judgment, not pattern checking.
When we plan our own sprints, AI analyses the backlog, generates complexity estimates, and identifies dependencies. Our internal velocity predictions have improved measurably since implementing this.
We dedicate time every week to evaluating new AI tools. When a new coding assistant, review tool, or deployment automation launches, our engineers test it on internal projects before deciding whether to adopt it for client work.
We don't hire junior engineers. This isn't elitism — it's a structural decision. Our AI-augmented workflow requires engineers who can evaluate AI output, make architecture decisions without hand-holding, and review code with judgment that only comes from years of production experience.
We deliberately avoid commodity work. No legacy maintenance, no staff augmentation, no "keep the lights on" contracts. Every engagement involves building something new, solving a problem that doesn't have an obvious answer, or pushing the boundary of what AI can do.
The AI landscape changes monthly. We allocate time for every engineer to explore, evaluate, and experiment with emerging technology. If our engineers aren't current, our methodology isn't current, and our clients don't get the best available approach.
Working across different regions creates cultural complexity. We address it directly. All teams share the same communication tools, the same coding standards, the same review processes, and the same quality expectations. Handoff protocols are structured so context is never lost. Weekly all-hands meetings rotate time zones so no single region is always meeting at inconvenient hours. The goal is one culture expressed across multiple geographies.