As a Growth Engineer at Trello, you'll be driving company growth at the intersection of product, engineering, marketing, and data. We'll be working together to build features and run experiments to improve acquisition, engagement, retention, revenue, and virality.
We're a small team that brings together people with a range of skills to break down metric-based goals into small components, iterate on experimentations in those areas to generate improvement and to share those improvements and knowledge with everyone at Trello.
As a member of the growth team, you'll decide what you work on to meet the goals we have as a team. Some of the things you might be responsible for:
- Defining how we look at the results of our data to actually learn things.
- Collaborating with the team and using your experience, intuition, and analysis to decide where we should focus next.
- Developing and improving our tools for experimentation.
- Working with the rest of the team to implement features and experiments everywhere we touch users.
This is a technical position, and programming will be at the core of your work. You're probably a few years into your career.
- You probably know a lot of math, and have experience in using Bayesian analysis to gain knowledge reliably and reproducibly.
- You don’t hate data. You've slung some SQL and done horrible things in Excel. You know what A/B testing and cohort analysis are.
- You have strong opinions about the right way to do things and you change them when the data says otherwise.
- You have an excellent command of written and spoken English and communicate about what you're doing with your coworkers.
- You have a diverse background. You know what callbacks are and what a CTA is. You're excited to learn new strategies, skills, and areas of knowledge.
You may also have these bonus skills...
- Improving conversion funnels.
- Using data to figure out where users bail.
- Calculating LTV across channels.
- Building features across the full stack from back-ends (we use Node.js) to front-ends in rich client frameworks (we use Backbone and React).
- Using Python to do analysis, which we use for the analysis server code.
- Building and optimizing landing pages.
- Running email campaigns.