CareerOS

CareerOS is hiring on behalf of our employer partner (US e-commerce domain). This is the person who removes roadblocks across the whole company: embed with creative, ops, and leadership, find the manual workflows slowing everyone down, and ship AI-powered tools that kill them. Part engineer, part internal entrepreneur. 
 

About this role

Think of this as an internal-entrepreneur role with an engineer's hands. CareerOS is partnering with a fast-growing direct-to-consumer e-commerce company running two brands -men's hair care and pet wellness, across the US, Canada, Australia, Mexico, and the UK. They run lean and fast, and across the company people lose hours every day to manual, repetitive work: copying prompts between tools, re-uploading assets, pulling ad numbers by hand. 

Your job is to find that friction wherever it lives and build it away.

You'll embed with every business unit — creative, operations, performance marketing, and leadership (including the CFO and CMO) — learn how they actually work, and turn their biggest bottlenecks into AI-powered tools and automations. 

You own the full loop: spot the problem, build the tool, ship it, watch people use it, make it better. No detailed specs and no tickets handed down — you translate business problems into working software, and you measure success in hours saved and output gained.

This role is for a technical operator who builds internal competitive infrastructure. It's a hands-on building role — not a strategy-deck role, not research, not "prompt engineering." Real software that real teams depend on.
 

What you'll do

• Embed with business units — sit with editors, creative strategists, ops, and marketing to map how they work and find where time is being wasted.
• Build and ship internal tools, continuously — AI-powered creative-analysis dashboards, automated ad-script generators, workflow tools that replace multi-step manual processes, and integrations that connect existing platforms.
• Automate creative production end-to-end — extract video structure, analyze winning ad frameworks, generate variations at scale, connect everything via APIs.
• Own each tool through the full loop — problem → build → release → feedback → iterate.
• Proactively hunt for the next high-ROI automation across the whole company, beyond whatever's assigned.

What we're looking for

Must have:

• Software engineering background with production experience — you've shipped products to real users and can maintain and debug ~10 internal tools used by 30+ people.
• Full-stack capability with React and Next.js.
• Experience integrating external APIs and connecting systems together.
• Startup / fast-moving environment experience — comfortable with ambiguity, you know what questions to ask.
• Strong stakeholder skills — you gather requirements by talking to non-technical people across the business, not from a ticket board.
• English: Upper-Intermediate or higher (daily work with an English-speaking team).

Nice to have:

• DTC, e-commerce, or performance-marketing experience.
• You've built internal dashboards or tools before.
• Familiarity with ad creative workflows.

Can be learned on the job:

• Specific APIs (OpenAI, Claude, Meta, marketing platforms), AI techniques, and brand/company context.

What this role is NOT

• Not a research or data-science position.
• Not a junior automation role.
• Not "prompt engineering" — we need someone who builds and maintains real software.
• Not deep ML work (training custom models or building architectures from scratch).

Who you are

• You operate like a founder: you spot a broken process and fix it without being asked.
• You're as comfortable in a spec-less kickoff with the CMO as you are deep in a Next.js codebase.
• You think in systems, bias toward execution, and measure yourself in business outcomes — hours saved, output, cost — not lines of code.
• You don't wait for perfect specs; you go from a loosely defined problem to a shipped tool.

Success in your first 6 months

• Ship 2–3 internal AI-powered tools to production, used by the team daily.
• A measurable increase in creative output speed.
• Demonstrated cost savings through automation.
• Trust earned from internal users by responding fast and fixing issues.

About Us

CareerOS is a B2B2C career platform serving 100+ top MBA programs worldwide — including Oxford, INSEAD, London Business School, Georgetown, and Notre Dame — along with 30+ employers. We help 500K+ users land jobs they love, and we're growing with real revenue (not just runway).

We're a small, high-output team of 5 engineers based in Barcelona, scaling to 10+. We work in small squads, each owning their area of the product end-to-end. We ship fast, own our decisions, and push each other to do great work.
 

The Role

We're looking for a full-stack engineer to help build the services that power CareerOS. You're a few years into your career, you ship solid work, and you're ready to level up fast — this is a role you grow into.

You'll own whole features from database to API to UI, with the team backing you up. You'll work directly with the squad lead and product owner responsible for the domain - in the room when decisions get made, with real input on what we build. And because we deploy continuously, the code you merge today is live for real users today.

We're also an AI-native team, and that's central to how we work — see below.

Tech stack: Node.js (primary for new code), React/TypeScript on the frontend, some legacy Go. Infrastructure on GCP.

Typical split: backend-leaning, with real frontend work in React — it varies by project.

We Build With AI — and We Love It

We use AI coding tools every day, on real production code. It's one of the best parts of working here: you move faster, you build more, and you spend your energy on the interesting problems.

The thing that makes it work is you. The best AI output comes from engineers who direct it well, read what it produces, and catch it when it's off. You bring the judgment; the AI brings the speed. If that's already how you like to work — bonus points if you've used a structured or spec-driven workflow — you'll feel right at home.

What You'll Actually Do

• Ship full features, end-to-end — schema design, API, and the React UI on top. You own the vertical, with support when you need it.
• Work with data — write real queries, design schemas, reason about migrations.
• Build across the stack — backend-focused, but you'll ship real frontend in React/TypeScript too.
• Help move our Go services to Node — read existing Go to understand the logic, rebuild it cleanly in TypeScript with time. (You won't write new Go.)
• Build with AI tools — we use Claude Code, Cursor, and others daily. You should be comfortable, or excited, to work this way.
• Own your code in production — continuous deployment means what you merge today is live today. You debug it, monitor it, improve it.

What We're Looking For

Must-haves:

• 3+ years building production systems
• Strong TypeScript
• Solid Node.js backend experience building HTTP APIs
• Comfortable in React for real web apps
• Good SQL — you write real queries and think about schema design
• A real AI-assisted workflow — you can walk us through a feature you shipped with AI: what you delegated, and how you caught its mistakes
• Excellent communication and fluent English — we're distributed
• Eagerness to own features and grow fast

Strong signals:

• Experience with a spec-driven or structured AI workflow
• You've read Go before, or can pick it up enough to understand existing logic
• tRPC, Zod, Drizzle, or any modern ORM (concepts transfer)
• GCP, Docker, or monorepo tooling
• You've worked at an early-stage startup before (and liked it)
• You care about craft — clean code, good abstractions

What This Role is NOT

Let's be honest about fit:

• ❌ Not a backend-only seat — you'll spend real time in React.
• ❌ Not "paste into a chatbot and ship it" — AI is a power tool here, and you read and understand what you ship, whether you or the AI wrote it.
• ❌ Not a chill 9-to-5 — startup means more ownership and higher stakes. We respect personal time, but when we ship, we ship hard.

Your First 30 Days

We don't expect magic on day one. A great first month looks like:

• Week 1 — Local environment running, first small PR merged to production. Meet the team and get a feel for the codebase and how we use AI.
• Week 2 — Own a well-scoped feature end-to-end, schema to UI, with guidance and review.
• Weeks 3–4 — Take a scoped feature from idea to production with lighter support each time.

By day 30 you're shipping steadily, you know the patterns, and the team trusts you with real work.

Growth

You'll join as one of 5 engineers, growing to 10+. As we scale, there's a clear path to senior engineer and beyond for the right person. You'll help shape engineering culture and how we work with AI — not just inherit it.

What You Get

• Competitive salary + stock options possible — we'll discuss based on experience and location
• Remote-friendly — Barcelona hybrid optional, remote within CET ±2 hours
• Small team, visible impact — 500K+ users, real revenue, your work matters
• Quick decisions and fast moving — fast decisions, no layers, real influence
• AI-native team — AI-assisted development encouraged, never restricted