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, how we scale, and how we reach $100M+ ARR and beyond.

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 - $60M ARR ($3M in 2023); 4.9 stars (100k+ ratings) and Apple Editors' Choice Award
• 🥇 Tier 1 Investors - 2024 Series B led by Point72, plus a $100M growth capital commitment from General Catalyst; early investors include Jorge Mazal (former CPO @ Duolingo), Gina Gotthilf (former VP Growth @ Duolingo), Conner Zwick (CEO @ Speak AI), Ed Hallen (Cofounder @ Klavio), Des Traynor (Cofounder @ Intercom), Doss Cunningham (CEO @ Nutrabolt/C4 Energy), Bill Shufelt (CEO @ Athletic Brew Co.), Patrick O'Shaughnessy (Invest Like The Best).
• 🧠 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 (Series B); join before our Series C!
• 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.