Software engineers build the core of Amplemarket.
The three co-founders have an engineering background (João, Luís and Mica studied Physics & Computer Science at university) and deeply value the work that engineers are responsible for.
Our main goal is to build a sales platform that helps companies grow. Our product requires us to solve a myriad of difficult engineering problems very diverse in nature: from working on NLP models that can extract information from a thread of emails to scaling an elasticsearch cluster holding terabytes of data.
We are deeply aware of the importance of our tool to our customers and look for people that share that vision.
Among other things, our stack includes:
Ruby on Rails, React, PostgreSQL, Elasticsearch, Redis
We don’t require you to have experience in our stack to apply.
Our customers use Amplemarket on a daily basis. We keep and enrich valuable data that is critical for sales reps’s success. We empower our users to engage with their prospects in the most personalized way. Luckily, you are reading this, and when you join Amplemarket will have even more jaw-dropping features.
As an early member of engineering team, you will build new user experiences and product features that are critical to our customers. You will work cross functionally in a fullstack team and in close collaboration with product, design, customer success, support, and sales functions.
You will:
Work directly with the co-founders
Have lots of autonomy and impact
Ship new features every week
Own central, complex components of the application
Implement a scalable, stable, and user-friendly product that can handle our current growth
Collaborate with experienced software engineers in the design, development and maintenance stages of the product
Drive and deliver on our product roadmap, turning rough specs into features
Find elegant solutions to usability problems
About you:
You have experience designing and maintaining complex/large/growing systems
When reviewing new system designs or code, you naturally think about what can go wrong: edge cases, failure modes, bottlenecks, migrations, releases, interesting metrics, etc
You love debugging and finding the root cause of production issues
You are proactive, when you see something broken you jump on it to fix it or suggest improvements
You strive to use best practices and always test the software that you deliver
- AI Engineer