Heap

San Francisco
201-500 employees
Heap is an analytics platform that helps product, marketing, and customer success teams craft exceptional digital experiences that convert and retain users.

Engineering Manager, Data Ecosystem

Engineering Manager, Data Ecosystem

This job is no longer open

Heap’s mission is to power business decisions with truth. We’re building the next generation of product analytics that helps you surface everything users do on your site and automatically surface unique “unknown unknowns” that remain invisible with other tools. Our goal is to enable everyone to understand their millionth customer as well as they understood their first.

At Heap, our Data Ecosystem group helps customers get their data in and out of Heap and structure it for easy analysis. For this role, we’re looking for an Engineering Manager to grow and develop the Connect product, which helps customers sync large volumes of events from Heap to their Data Warehouse, as well as own other critical parts of the Data Ecosystem backend infrastructure. You’ll be responsible for technical strategy, execution, and delivery on a core part of our product experience used by thousands of customers, and you’ll hire, coach, and develop a diverse team of engineers working cross-functionally to inform direction and roadmap.

This is a unique opportunity to apply data engineering skills to a directly customer-facing product. You’ll help develop and scale a system that executes thousands of daily ETL jobs to Redshift, Snowflake, BigQuery, and S3. You’ll also work with our product and design teams to make setting up and managing those integrations an easy and delightful user experience.

What you’ll do

  • Remotely manage a diverse group of 4-8 engineers ranging from junior to senior. Support their growth and development through continuous coaching and feedback.

  • Work closely with product management, product marketing, and solutions to extend our existing platform with new features and capabilities, and continue to scale the platform as we grow.

  • Own execution and delivery on your eng team, and help the team balance new feature work with technical debt and platform investment.

  • Contribute to a fast-growing engineering organization and help us scale up processes and best practices across the entire company.

The team members you’ll work with are distributed across US timezones and Europe. For this role, we’re looking for someone in a US timezone to maximize overlap with your team.

What we’re looking for

  • A track record of leading and coaching diverse teams of engineers (at least 2+ years managing a team of 4+, including remote engineers)

  • A solid engineering background that has kept pace with new technologies, even if it’s been a few years since you coded full time (at least 5+ years of total experience in technical roles)

  • Experience running team cadences in a fast-moving, Agile environment, and working cross-functionally with product management to set roadmap and direction

  • Experience building backend services at scale in a cloud environment (AWS a plus). Experience working with data warehouse or data engineering technologies a plus (Spark, Snowflake, Redshift, BigQuery)

  • A genuine commitment to building diverse teams, and promoting equity and inclusion on your team and throughout the organization

Under the hood, Heap is powered by TypeScript, Golang, Scala, Spark, Kafka, Redis, and PostgreSQL (using Citus). For more about our architecture, check out Virtual Events: Making Data-Driven Decisions a Reality.


People are what make Heap awesome. Regardless of age, education, ethnicity, gender, sexual orientation, or any personal characteristics, we want everyone to feel welcome. We are committed to building a diverse and inclusive equal opportunity workplace everyone can call home.

Heap has raised $95M in funding from NEA, Y Combinator, Menlo Ventures, SVAngel, Sam Altman, Garry Tan, Alexis Ohanian, Harj Taggar, Ram Shriram, and others. We offer plenty of awesome benefits, and we were named #1 on Glassdoor’s Best Places to Work (SMB). We'd love to hear from you!

#LI-MM1

This job is no longer open
Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.