Senior Data Engineer @ Ladder
Senior Data Engineer @ Ladder
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Job Description
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. Its not just about pipelines and queriesits about building the infrastructure behind something people cant 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 youre 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 OShaughnessy (Invest Like The Best).
- Youre a top tier Data Engineer Experienced curious and relentless about building clean scalable systems that drive real business impact.
- Youll 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. Were a lean high-output team of veteran builders focused on solving real customer problems and creating the most rewarding fitness experience anywhere.
Weve 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 were building something your kids will brag about.
We keep the bar high. We trust our people. And we have fun while doing it.
What Youll 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 Were Looking For
Youre 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. Youll 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 dont 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 elses 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 youre a data engineer ready to take full ownership of critical systems and build the data foundation behind a category-defining fitness experience wed love to meet you.
Required Experience:
Senior IC
Employment Type
Full-Time
