Delivery Analytics for Software Teams
Our Product and Mission
Haystack helps engineering teams become world class through delivery analytics. Team use our product to measure, improve, and establish best practices through analytics & alerts.
We’e backed by Y Combinator and the same people who built Doordash, Airbnb, and Optimizely. We work with world class engineering leaders at companies like Microsoft, Robinhood, and The Economist.
Work directly with founders and a close knit team of hustlers. We've all got experience building and scaling startups. You'll the unique opportunity to scale a business from the ground up. If you're the type of person that loves new challenges, learning new things, taking on more responsibility, and seeing how your work impacts customers on a daily basis - then we'd love to meet you.
About the Role
This role is primarily responsible for working with Haystack customers to make sure Haystack’s product delivers the value we promise. The Customer Success Manager should become an expert on Haystack’s product, understand customer needs, advise customers on how to best use Haystack, build relationships, and implement programs that will increase the business’ revenue potentials and minimize churn rates.
What You'll Do
What We're Looking For
About the hiring process
The path to an offer
How to Apply
That’s it! 🙌
We are bringing the competitive advantage data-driven engineering teams like Google have - to everyone else.
Our analytics platform plugs directly into developer tools like Github to provide insights on delivery speeds, bottlenecks, and risks that impact team velocity & developer happiness.
We're trusted by some of the world’s most innovative teams: Microsoft, The Economist, and Indiegogo and backed by Y Combinator, Soma Capital, Funders Club, and strategic angels (Founder @Optimizely, SVP Sales @Amplitude) .
Haystack is a culture of tinkering, learning, testing and iterating. We ship quickly and help our customers do the same. We're led by founded by two technical founders who have experienced this problem first-hand after scaling their startups from 0 to 100m+ users.