You are a high-impact hire. You'll step into a critical role owning the pipelines, models, and data flows that drive decision-making, personalization, and growth across the business.

At Ladder, data isn't just support - it's infrastructure. Clean, reliable, fast-moving data fuels every insight, every product decision, every member experience. This is a hands-on, high-responsibility role with wide scope - your work will shape how we operate and how we scale.

If you're not ready to take full ownership of our data pipelines, models, and warehouse - do not apply. The TLDR Ladder is the #1 strength & conditioning app on iOS - We deliver custom weekly workout plans with in-workout coaching, progress tracking, and a tight-knit fitness community. HQ in Austin, TX - We love local, but remote is an option if you're in US time zones. We are on FIRE - 10x'ed the business in two years and cash flow positive; 4.9 stars (100k+ ratings) and Apple Editors' Choice Award. Tier 1 Investors - Well capitalized by Point72 and a $100M growth capital commitment from General Catalyst. You're a top tier Data Engineer - Experienced, curious, and relentless about building clean, scalable systems that drive real business impact. You'll architect and scale the data foundation of a high-growth consumer app - Every pipeline you build powers smarter decisions, personalized experiences, and stronger outcomes for our members. About Ladder

Ladder | Your Daily Workout Plan

Ladder launched in 2020 to reinvent strength training for everyday athletes. We're a lean, high-output team of veteran builders focused on solving real customer problems and creating the most rewarding fitness experience anywhere.

We've scaled fast - thanks to strong retention, smart unit economics, and a product people love. With fresh capital, momentum, and a bold vision to expand beyond fitness, we're building something your kids will brag about.

We keep the bar high. We trust our people. And we have fun while doing it.

What You'll Do Strategy & Ownership Build and evolve data pipelines that connect our core systems (e.g., PostgreSQL, BigQuery, Braze) Own data modeling and warehouse architecture to support business use cases Design and manage scalable data flows - whether through Segment, reverse ETL, or custom solutions Maintain data workflows that support reporting, experimentation, cohort analysis, and marketing automation Execution & Collaboration Partner with Lifecycle and Product teams to define metrics, build segmentation logic, and support experimentation Collaborate cross-functionally to enable reporting, cohort analysis, and marketing automation Translate business needs into clean, scalable datasets - and make technical concepts accessible to non-technical teams Innovation & Impact Leverage and evolve tools like Segment, BigQuery, dbt, Airbyte, or other best-in-class solutions to build fast, reliable, and scalable systems Continuously evaluate and improve our data stack, from ingestion to activation Deliver data to train state of the art AI agents and models Help define and evolve our data engineering practices as we scale The DNA We're Looking For

You're a data engineer who wants full ownership - not just of pipelines, but of outcomes. You care deeply about clean data, fast queries, and high-leverage tooling. You'll be the go-to expert for all things data at Ladder, with the autonomy to build and the responsibility to raise the bar . You bring a proactive mindset and thrive in a high-agency, fast-growth environment where data drives every decision. The Foundation 5+ years in Data Engineering, Analytics Engineering, or similar roles Expert-level SQL skills and deep experience with BigQuery Hands-on experience with tools like dbt, Airbyte, Airflow, or Segment - or strong opinions on what we should be using Familiarity with reverse ETL flows and customer engagement platforms like Braze Comfortable working across teams to define metrics, support experimentation, and build reliable data infrastructure The Mindset Outcome-oriented - you don't just move data, you move the business Data quality obsessive - you love clean, reliable, and accessible pipelines Collaborative communicator - fluent in translating business needs into scalable data solutions High agency - you spot problems and solve them before they land on someone else's desk Bonus Points Experience with machine learning and AI tooling Experience with Braze or other Marketing Automation tools Familiarity with BI tools like Looker Knowledge of event tracking platforms like Segment or Amplitude Python experience for transformation logic Fitness/wellness industry experience or passion Why Join Ladder? The Business Well capitalized by Point 72 and General Catalyst Profitable unit economics with disciplined growth Big ambition: building a household name beyond fitness that our peers and children recognize in a decade The Culture High-performing team that wins the right way "Let you cook if you have the chops" environment Veteran team focused on customer problems and fast execution The Benefits Competitive salary + meaningful equity Full health benefits (medical, dental, vision) Unlimited PTO Brand new equipment Austin HQ with remote flexibility (US time zones) Free Ladder membership for you and your family Fully-stocked gym and studio access Ready to Build the Future of Fitness?

If you're a data engineer ready to take full ownership of critical systems and build the data foundation behind a category-defining fitness experience - we'd love to meet you.