Heap logo

Software Engineer, Data Platform (Staff, Office of CTO)

Heap’s mission is to power business decisions with truth.

Heap

Icons/design/feather/users

201-500

Icons/design/feather/country/us United States
Icons/design/feather/country/au Australia

Heap’s mission is to power business decisions with truth. We’re building infrastructure to automatically capture customer interactions on web and mobile applications, make sense of them, and make them useful in improving products. We want to enable everyone to understand their millionth customer as well as they understood their first.


We’re looking for a seasoned engineer with distributed computing experience to lead design and implementation of highly scalable data systems. Our product enables users to run complex, ad hoc analyses over billions of events with sub-second latencies, and it includes some unique wrinkles that make our data problem a particularly complex technical challenge.


You’ll initially work in the Office of the CTO, exploring possible designs for the next generation of the core platform that powers analyses in Heap. Once we’ve converged on something we want to develop for production use, you’ll join our Data Platform team and lead its implementation.


This problem is core to our technology and our company: the characteristics of our data layer ultimately determine everything from what new analyses we can support to which verticals suit our unit economics.


We’re a distributed team that operates mostly in US West (PT) and Australian (EST) time zones. We’re open to hiring the right person anywhere within those timezones.

What we’re looking for


  • Deep knowledge of distributed database fundamentals.


  • Practical experience (5+ years) building data platforms for fast, ad hoc analytical workloads. Broad familiarity with existing approaches used to solve this kind of problem.


  • Excellent communication skills, especially in writing. We’re a globally distributed team, and we pride ourselves on our ability to communicate complex ideas clearly.


  • An end-user-oriented approach, and the ability to connect design tradeoffs to product consequences.


  • Enthusiasm about the prospect of mentoring other engineers and nurturing their growth.


Heap is powered by Node.js, TypeScript, Golang, Scala, Spark, Kafka, Redis, and PostgreSQL (using CitusDB). 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!

About this role

December 19th, 2021

June 21st, 2021

Full Time

To apply, you must have a permit to work in this country.
Icons/design/feather/country/us United States
Icons/design/feather/country/au Australia
Heap is hiring for this role
 in these timezones.
Icons/design/feather/country/us All US timezones
Icons/design/feather/country/au All AU timezones
-10.00 -10.00
-9.00 -9.00
-8.00 -8.00
-7.00 -7.00
-6.00 -6.00
-5.00 -5.00
8.00 8.00
8.75 8.75
9.50 9.50
10.00 10.00
10.50 10.50
14.00 14.00

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About Heap

Learn about Heap and their company culture.

View company profile

The New Standard In Product Analytics. Fuel product growth and team agility.

Every growing business is trying to predict the future: What products should we build? What markets should we enter? How do we provide great customer service?

These predictions require that businesses understand their ground truth: customers. Yet as businesses grow in size and complexity, customer understanding can get lost in internal politics and ego.

We’re building a product analytics tool to automatically capture all customer interactions within web and mobile, make sense of them, and make them actionable for anyone. We want to enable everyone to understand their millionth customer as well as they understood their first. We now have over 10,000 businesses using us, including fast-growing startups and big companies like E-Trade, Amazon, WeWork, Twilio, McKinsey, and AT&T.

Tech stack

Learn about the technology and tools that Heap uses.

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App Analytics
Icons/design/feather/users

201-500

2013

Ken Fine

Icons/design/feather/country/us United States
Icons/design/feather/country/au Australia
Icons/design/feather/country/gb United Kingdom

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