tl;dr: We are an early-stage startup looking for a passionate, experienced back-end developer to join us in building Ampersand from the ground up. At Ampersand, we're creating tools that give Customer Success teams research superpowers. Details about us, the role, and interview process below.
Salary: CAD$120,000 - CAD$150,000 Equity: 0.2% - 2.0% Location: Fully remote, anywhere in Canada (slight preference for EST)
Ampersand is a mighty, but friendly, conversation analysis platform that lets non-technical Customer Success teams get meaningful qualitative insights from their customer conversations (starting with Zoom calls), so they can uncover mutual value (and the revenue that follows).
We call this "research superpowers", because our approach uses AI/ML to unlock people's ability to scale themselves, and the autonomy to choose when or whether to.
Join us on our quest to product-market fit, as we ship the very first versions of Ampersand!
Joining this early means you'll have the opportunity to have a massive impact on our product, culture, and direction. You’ll take on complexity and ambiguity, and make hard decisions that will define the shape of a product that hasn’t been built before. You’ll mainly be working with Anwar, our co-founder and CTO, but because we are a small and co-creative team you’ll collaborate with everyone.
Simply put, we’re looking for someone to own the Ampersand back-end.
This means you must have work experience building back-end services for multi-tier, data-intensive applications. You are comfortable with taking on (at times vague) problem descriptions, helping come up with the solutions, identifying what needs doing — and then doing it. While we have prototyped an initial approach, this will be 0 to 1 kind of work. You’ll be architecting it from scratch. Experience building integrations, data pipelines or warehouses is crucial to be successful in this role.
We’ve approximated this requirement as “having 3-5 years of professional experience building and shipping products leveraging Python, NodeJS, cloud computing platforms (e.g. Google Cloud, AWS), Kubernetes, Docker, Spark, Flink, Kafka etc