We are redefining how people get stronger and hiring for a critical role to expand our Data team.

Data at Ladder means powering the insights, personalization, and automation that fuel our member experience. It's not just about pipelines and queries—it’s about building the infrastructure behind something people can’t live without.

🚀 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

• Architect and maintain robust data pipelines between our PostgreSQL DB, BigQuery warehouse, Braze, and reporting tools
• Design scalable data models and warehouse architecture to unlock smarter decision-making
• Own our reverse ETL flows to customer engagement tools like Braze — enabling personalized experiences at scale
• Ensure data quality, governance, and observability across all analytics and reporting workflows

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 tools like Segment, BigQuery, dbt, and Airbyte to move fast and build reliable systems
• Continuously evaluate and improve our data stack, from ingestion to activation
• Help define and evolve our data engineering practices as we scale

🧬 The DNA We're Looking For

You're a data engineer who thinks like a product builder — equal parts system architect, SQL wizard, and business partner. You care deeply about clean data, fast pipelines, and high-leverage tooling. You bring a proactive mindset and thrive in a rapidly growing, high-agency environment.

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 Segment, dbt, Airbyte, or similar pipeline tools
• 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 who thrives in a high-agency environment and wants to architect the systems that power next-gen fitness experiences — we’d love to meet you.