Founding Data Engineer

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Today, job seekers rely on outdated and biased tools to evaluate employers.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.