Fullstack / Backend engineer

Remote, San Francisco, CA, United States • $150k - $200k • 0.75% - 1.00%

Eppo


Role Locations

  • Remote
  • San Francisco, CA, United States

Compensation

  • $150k - $200k
  • 0.75% - 1.00%

Employees

< 10 people

Address

1395 22nd Street
San Francisco, CA, 94107, US

Tech Stack

  • React
  • Node.js

Role Description

We are looking for a founding, backend focused engineer to own the application architecture of our system. You will create a domain specific language and governance system to communicate with customer's data warehouses and feed the results into our experimentation compute engine. You will create interfaces to serve the results in a way that is performant and powerful. This is an opportunity for a ground up architecture build for a system that can grow into a impactful and wide ranging set of capabilities if we make good choices at first.

We are building the future of experimentation, and our goal is to change corporate culture everywhere. Come join Eppo to give engineers at every company a vehicle to take risks and show results.

About Eppo

Eppo helps product teams run experiments that are reliably informative. Informative experiments validate or invalidate hypotheses and drive future product launches. But today's experiments are rarely reliable due to poor data infrastructure and experiment design. And experiments are rarely informative unless time-strapped data workers babysit them from inception to completion, including endless complex post-hoc deep dives into new segments and metrics.

At Airbnb, we were caught in a loop of throwing analyst headcount at experiment quality. So we created a 10 person, cross functional engineering team to centralize and automate these workflows. Over 5 years, we figured out how to deal with cross-device users, non-logged in users, bug detection, biased randomization, and outlier skews. We automated post-hoc analyses like no-code slice dice and funnels, extrapolating experiment results to global metric effect, and variance reduction techniques that make experiments 30% faster. And we implemented all of these pipelines while managing computation costs. Today, any engineer or product team can launch experiments and validate against core business metrics, driving $100s of millions in revenue.

We want companies to run experiments that are reliably informative. Skip the half decade of development and 10 person internal tools team, and immediately start gaining knowledge from higher quality experiments.

We are currently built on Next JS on top of a serverless GCP structure, and there is freedom to define our technical architecture and framework choices.

More information on Eppo can be found at this product manifesto. https://www.notion.so/Why-I-started-Eppo-855f757c69da4a7db49b0d23e7e55b51

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