➡️ Apply here: Founding Data Engineer
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🚀 About Us
We’re building the career intelligence platform for modern professionals — starting with marketing.
Today, job seekers rely on outdated and biased tools to evaluate employers. We’re changing that by collecting and structuring messy public data — jobs, salaries, org structures, tech stacks, and growth patterns — into clear, data-driven insights.
Our goal is to make career decisions data-driven — answering the questions that actually matter when choosing a role:
How long people stay and grow on a team.
What compensation looks like in reality, not just the posting.
How teams are structured and what tools they use.
How long interview and negotiation cycles take.
Whether a company is growing, stable, or in decline.
And much, much more!
We’re starting in the marketing industry, where transparency is long overdue — but the long-term vision extends across industries.
We already have a full-time developer and product designer. Now we’re looking for a Founding Data Engineer to build the data layer that powers everything.
⚙️ What You’ll Work On
You’ll own the foundation of our data infrastructure — from large-scale collection to actionable insights.
Build and scale systems to scrape and process hundreds of thousands of company websites and millions of job listings
Design and maintain ETL pipelines that continuously collect, clean, and refresh data
Define and evolve our data model for companies, roles, salaries, org structure, and growth
Use LLMs and NLP to extract structured data from unstructured text (job posts, bios, reviews, etc.)
Label and classify companies (agency vs in-house, vertical, size, growth stage, tech stack)
Collaborate with product and design to surface insights in filters, dashboards, and salary tools
Help us transform the web’s chaos into structured, reliable, and transparent career data
🧩 What We’re Looking For
You’re equal parts engineer, data hacker, and builder. You love structuring chaos and building scalable systems that turn raw data into usable truth.
Must-Have Skills
3+ years in Data Engineering, Applied AI, or Data Infrastructure
Strong Python skills (web scraping, APIs, ETL pipelines)
Experience scraping and processing large datasets (Playwright, Scrapy, Async frameworks, etc.)
Understanding of ETL design, data modeling, and cloud infra (AWS, GCP, etc.)
Familiarity with LLMs/NLP for extraction and classification (OpenAI, LangChain, embeddings, etc.)
Comfortable in 0→1 environments — you move fast, solve problems, and thrive on autonomy
Bonus Points
Experience with HRTech, analytics, or data aggregation products
Worked with LLMs to extract or label structured data
Familiarity with marketing or SaaS data (DSPs, CRMs, analytics platforms)
Experience building dashboards or visualization tools
💰 Compensation & Benefits
$3,500 USD/month
Fully remote (work in your local timezone)
35 total days off (PTO, holidays, and sick leave combined)
High autonomy and ownership over your domain
Bonus / revenue-share potential after 6 months
Join early and shape the culture, product, and data strategy from the ground up
🌍 Why This Role Matters
This is an opportunity to build the data engine behind a new category — career transparency at scale. You’ll turn unstructured chaos from across the web into the dataset that helps people make smarter, more informed career decisions. You’ll help redefine what it means to “research a company” — not through opinions, but through real, verified, data-driven insights.