Engineering Manager, Data

RevenueCat removes the headaches of building and scaling in‑app subscriptions. Since graduating from YC’s S18 batch we’ve grown into the default monetization platform for mobile: we’re in >40% of newly shipped subscription apps, we process $8B+ in annual purchase volume, and we help everyone from a solo dev in Brazil to the OpenAI mobile team understand and grow their revenue.

We’re a remote‑first crew of 100+, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance. If you want your work to touch hundreds of millions of end‑users (and help the developers behind them get paid), you’ll fit right in.

RevenueCat is searching for a Engineering Manager to help our Data Team grow and succeed in our mission to put data at the service of our customers, supporting the data platform growth and its challenges and helping create a product that will help developers make more money. We expect our managers to be highly technical.

Our infrastructure is built on AWS, with production databases on Aurora Postgres & MariaDB, replicated with debezium and kafka to our data lake in S3, snowflake for warehouse and clickhouse for real-time metrics. We use Sagemaker for machine learning capabilities, Dagster for orchestration, DBT for transformations.

• You have 5+ years of experience in data engineering or software engineering, with a track record of designing, building, and maintaining complex, large-scale systems.

• You always find yourself leading or influencing the grand vision and strategy on the Data.

• You are experienced in both real time and batch data processing.

• You have a product-focused mindset. You are opinionated and you envision how to put data at work.

• You are highly technical and enjoy staying hands-on, writing and reviewing code, helping solve challenging technical problems, contributing in brainstorms and roadmapping.

• As a manager, you thrive at mentoring and guiding engineers while actively contributing in technical decisions and when the team needs help.

• You establish good relationships and communication with other teams, in particular with infrastructure and product.

• You communicate clearly and collaborate effectively in a fully-remote environment. You are proactive and driven—when you see a problem or an opportunity to improve, you act. You are versatile, curious, and a fast learner who inspires the same in your team.

• Meet frequently with your team, your manager, and key stakeholders to get up to speed.

• Gain a high-level understanding of the data platform, its architecture, and how different teams interact with it.

• Implement and ship your first project.

• Familiarize with critical projects and subscription business concepts.

• Build relationships across teams, gathering context to influence technical and operational decisions.

• Build trust relationships with the engineers in the team.

• Fully grasp the current strategy, vision, challenges and ongoing projects. Start identifying opportunities for improvement.

• Actively participate in code reviews and technical discussions, setting standards for reliability, quality, and maintainability.

• Mentor engineers, helping them grow technically and professionally.

• Start delivering significant improvements, in architecture, cross-team alignment, project execution and technical roadmap.

• Become an expert in several of your team’s focus areas and support engineers in leveraging the platform effectively.
  

• Have a deep understanding of the entire system, capable of debugging complex, cross-team issues.

• Drive initiatives to improve reliability, scalability, and performance across the platform.

• Lead the specification, architecture, and rollout of medium-to-large projects, gathering feedback and aligning with stakeholders.

• Be recognized as a technical leader, influencing the engineering org’s strategy and practices.

• Continue mentoring engineers and fostering a culture of hands-on technical excellence.

• Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator

• 10-year window to exercise vested equity options

• Fully remote and flexible work environment

• 4-5 weeks of suggested time off annually for mental, physical, and emotional recharge

• $2,000 USD for workspace setup and $1,000 USD annual stipend for continuous learning

Curious about the interview process? Discover more in our blog post about how we hire and learn tips to help you succeed.