Build Products That Ship. Not Features That Sit.
ChangelogLabs takes products from zero to commercially ready.
We work with founders and companies to build AI-native products & organizations — fast. Our engineering team ships real products to real users, not prototypes that demo well.
We're hiring engineers who want real ownership, variety, and the chance to work on problems that matter.
The Role
A Member of Technical Staff is not a level. It's a stance.
Being a MTS means:
- You own outcomes, not tasks
- You ship products, not just code
- You make decisions when specs are vague
- You build with AI because that's how modern products work
Small team. High leverage. High standards.
The Work
You'll build AI-native products across various industries. The domains vary — the constants don't:
- Ambiguous problems. We'll tell you what needs to exist, not how to build it.
- Real users. Everything you ship gets used. No shelf-ware.
- End-to-end ownership. You're not handing off to another team. You see it through.
- AI at the core. LLMs, embeddings, intelligent systems — not bolted on, built in on a first principles basis.
You'll have premium access to SOTA frontier models with generous limits. Build with the best tools available.
What We're Looking For
Required
You ship value, not code. Good engineers don't identify as "backend" or "frontend". They identify problems and solve them — whatever that takes. Database, API, UI, infrastructure. The stack is a means, not an identity.
AI fluency. You've built systems with LLMs. You understand how to make AI reliable, not just impressive in demos.
Product instinct. You can look at a problem and decide what to build. You've shipped things users actually wanted, not just what was specified.
Speed bias. You default to shipping over planning. Imperfect today beats perfect someday.
Comfort with ambiguity. Requirements change. Priorities shift. You find this energizing.
Strong Signals
- Built and shipped something people actually use
- Early-stage startup experience
- Can explain complex technical concepts simply
- Strong opinions, loosely held, bias to action
Tech
Python, Node, React, TypeScript, LLM APIs, vector databases, AWS/Vercel. Different stack? Good engineers adapt.
What We Offer
Ownership. You'll own product areas, not tickets. Your decisions shape what ships.
Premium AI tooling. Frontier models with generous limits. Build with the best available.
Variety. Different products, different domains, new problems. Growth comes from range.
No bureaucracy. Small team. Direct communication. Ship when ready.
Compensation. Fair & competitive for Cairo + equity participation in what you build.
Flexibility. Remote-friendly. Output over attendance.
Who This Isn't For
- Specialists who want to stay in one lane
- People who need detailed specs to start
- Anyone optimizing for titles over impact
How to Apply
No cover letter. Show us work.
Send:
- GitHub (or equivalent) — what you've built
- One shipped thing — link to something live you made
- A hard problem you solved — how you thought through it
Process
- Review (1-2 days)
- Technical conversation (1 hour) — what you've built, how you think
- Deep-Dive Pairing Problem Solving Session (4 hours) — real problem, real code
- Final conversation (45 minutes) — fit, expectations, questions
- Offer (1-2 days)
No leetcode. No whiteboard tricks. We evaluate builders by watching them build.
If you build things that ship, let's talk.