Engineering Manager, Data Ecosystem

Heap is seeking a remote manager to oversee a team of engineers and drive the technical strategy for their managed ETL product, Connect. The manager will be responsible for coaching and developing the team, as well as partnering with product management and 3rd party developers to maintain and extend integrations. The role requires a track record of leading diverse engineering teams.

Remotely manage a diverse group of 5-8 engineers ranging from junior to senior. Support their growth and development through continuous coaching and feedback.

Drive the technical strategy and partner on product direction for our managed ETL product, Connect.

Work closely with product management, partnerships team, and 3rd party developers, to maintain and extend our integrations platform.

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

• At least 3+ years of experience managing a team of 4 or more engineers
• At least 5+ years of total experience in technical roles
• Experience in leading and coaching diverse teams of engineers
• Solid engineering background and familiarity with new technologies
• Experience in running team cadences in a fast-moving, agile environment
• Ability to work cross-functionally with product management to set roadmap and direction
• Relevant experience in building integrations and data platforms at scale
• Familiarity with event streaming architectures
• Strong understanding of cloud computing, particularly AWS
• Willingness to learn and ramp up on new technologies and concepts

• Competitive salary range of $240,000-$280,000 for New York City-based candidates
• Opportunity to manage a team of 4 or more engineers
• Solid engineering background with at least 5+ years of total experience in technical roles
• Experience running team cadences in a fast-moving, agile environment
• Collaboration with product management to set roadmap and direction
• Experience in building integrations, building data platforms at scale, working with event streaming architectures, and/or a strong understanding of cloud computing (particularly AWS)
• Knowledge or experience with data warehouse or data engineering technologies such as Spark, Snowflake, Redshift, BigQuery
• Genuine commitment to building diverse teams and promoting equity and inclusion
• Opportunity to work with modern technologies such as TypeScript, Golang, Scala, Spark, Kafka, Redis, and PostgreSQL
• Funding of $205M from reputable investors
• Named #17 on Glassdoor's Best Places to Work (SMB)
• Commitment to creating a diverse and inclusive equal opportunity workplace