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 PlanLadder 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)
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Own data modeling and warehouse architecture to support business use cases
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Design and manage scalable data flows — whether through Segment, reverse ETL, or custom solutions
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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.
