Founding Data Engineer (equity To Paid | Hybrid La)

Company: MeeBoss

Location: Los Angeles, CA

Posted on: October 29

Location: Remote to start, LA-based candidates preferred

Compensation: Equity to start transition to paid

Commitment: Full-time, Founding Team Role

About Us

Axon Solutions helps high-growth B2B companies turn messy, disjointed data into clean, revenue-generating go-to-market engines. Were the operational backbone for founders and GTM teams, stitching together CRMs, TAM data, enrichment layers, and everything in between to unlock real sales outcomes.

Weve already helped companies clean up thousands of CRM records, size their addressable market, and scale faster with clean, enriched data pipelines. Now were looking for a Founding Data Engineer to help us scale technically, operationally, and culturally.

What Youll Own

Youll be responsible for the end-to-end data stack: ingestion, transformation, modeling, application integration, and learning:

• Ingesting external and internal data from tools like BigQuery, Airbyte, or building custom extractors in Python
• Structuring robust transformation workflows with DBT
• Using Airflow/Dagster for orchestration
• Designing and building logic to learn from and improve data over time: e.g., predictive fields like expected revenue using AI/ML approaches
• Developing clean, scalable connections between processed data and our internal tools or customer-facing applications (e.g., through Metabase or equivalent)
• Collaborating directly with the CTO on product delivery, technical roadmap, and GTM support
• Building foundational data architecture that is both reliable today and scalable tomorrow

What Were Looking For

• Startup-ready mindset, youve worked in scrappy environments and know how to ship with limited oversight
• Deep experience across the modern data stack (youve used or can quickly get up to speed with tools like BigQuery, Airbyte, dbt, Python, Dagster/Airflow)
• Fluency in Python and confidence in building custom ETL pipelines when needed
• Comfort working with ML/AI pipelines or predictive logic, especially for business-relevant outputs like TAM scoring or revenue estimation
• Passion for clean data and elegant engineering
• Based in Los Angeles or willing to relocate - remote to start, but this will become a hybrid role

Why This Role Matters

This is not just a technical role, its a founding role. Youll help shape the culture, product, and processes of a company thats solving a real (and painful) problem. You wont be micromanaged. You will be trusted.

We're a small, high-trust, extremely collaborative team that believes the right person should be both fun to build with and comfortable getting deep in the weeds. The kind of person youd be down to work with all day and still grab a drink with after, not because you have to, but because you actually want to.

Tech Stack Were Working With (or Youll Help Define)

• Ingestion & Extraction: BigQuery, Airbyte, Python
• Transformation & Orchestration: Airflow, Dagster, dbt
• Visualization: Metabase (or similar tools to push data into apps)
• Languages: Python, SQL
• Machine Learning: Custom logic for data enrichment, scoring, and prediction

What You Get

• Equity in a fast-moving, venture-backed startup
• Autonomy and creative input on architecture, tools, and product direction
• A future paid role as the company scales (salary tied to milestones/funding)
• A team that values craft, clarity, and culture

About MeeBoss:

MeeBoss unleashes the potential in people, teams, and organizations. Were revolutionizing online recruiting with a mission to streamline hiring, connecting job seekers and employers faster, smarter, and more human than ever.

With real two-way communication, MeeBoss brings the human touch early, allowing both sides to quickly assess fit, swap feedback, and move the hiring journey forward, fast. Our mobile-first experience delivers top-quality candidate matches and instant chat with job-ready talent, helping businesses and job seekers connect anytime, anywhere.

At MeeBoss, we also collaborate closely with our clients to design optimal organizational structures, roles, and responsibilities, building stronger foundations for success. All postings we share are carried out with the prior consent and partnership of our clients.