We’ve entered a new era of software distribution, try before you buy is the normal. Most potential customers barely answer their phones and A.I. will kill email next.
It’s time for a new approach. Today companies use Ripe to reach out and meet people inside the products they are trialling and evaluating. With this sales can finally leverage product analytics data to help build relationships with the right customers at the right time.
About the role
As aat Ripe, you’ll work alongside our tech team to build the foundation of Ripe’s platform. You’ll be working across the full tech stack from React components to the API layer to build 0 to 1 products. Joining now, you'll also help in building the company culture from the ground up.
What you will do
We are currently a team of seven! You’ll be the eighth 🎱 and also the fourth in a team of other full-stack engineers. You’ll help us build and roll out our initial product as we continue to expand the feature set:
Architect and implement complex features from the ground up.
Work closely with Product, UX/UI, and the Engineering team to build and execute our roadmap, code reviews, architecture reviews, brainstorms, etc.
Implement best practices and contribute to the evolving team as we continue to grow. We take immense pride in the craft of our work. We don’t skimp on things like code review, developer tooling, documentation, testing, etc.
Join an incredible team at a magical time
Who you are
You're an experienced full-stack dev (, , experience, but we also love if you’re tooling agnostic and could help us make new choices for the stack) and familiar with cloud services like and . You love to build rock-solid architectures but are also pragmatic and lean towards shipping.
You're comfortable with ambiguity and a scenario where we have to ship a new feature in a week — how can we slice it down to something shippable?
You value open dialogue and feedback culture.
You are kind (yes, we value people who are kind and honest), and not too precious about processes for the sake of processes.
You are excited about bringing other top-tier engineers to the team and building something great. You are generally an optimistic person.
Bonus: You have built high-scale systems with modern data technologies like Kafka, PubSub, Spark, Flink, Clickhouse, etc.
What we offer
Become part of a top-tier team with previous experience from some of the best tech companies in the world. You can get direct access to world-class mentors.
Opportunity to grow into a leadership role rapidly
Be a part of a fast-growing venture-backed startup in its early days. Take part in building a Product, Engineering and GTM organisation from the ground up.
All the latest tech equipment you need (MacBook, Monitors, etc.)
SEK 5,000 wellness benefit
Centrally located office in Stockholm with a real startup atmosphere + team spirit.
🍰 Equity package
Want to be an owner and win together?We do! QESO Stock Options for all team members.
💶 Competitive salary
We value experience and grit and pay accordingly.
Our process is about meeting the people you’ll work with
30 min get to know each other
Whiteboard session on a relevant topic
Meet the full team (lunch / dinner / drinks)
Why you should join Ripe now
Every business is becoming an tech business
PLG is a model where the actual product is the key driver of user acquisition, monetization, and retention — not only sales or marketing. Companies like Zoom, Dropbox, Figma and Slack are great examples of companies successfully deploying these bottom-up, end-user-focused motions. And 91% of SaaS companies plan to increase their PLG investments during the upcoming years.
We're building Ripe to help the best products grow faster
Every company that offers software products in a freemium or self-serve way, wants to build strong relationships between their teams and their users in order to grow.
But for most teams, it’s very hard to know to whom they should talk to and in what order. And even when you do know who to talk to, it’s tedious to break through the noise.
The lucky invest a ton of time and effort to pull their disparate data together every month, and then push automated actions toward their best-fitted prospects. For most, the solution is a mix of fragile spreadsheets, back-and-forth emailing, and then drowning their best prospects with emails.
We don’t want to stop by just fixing the workflow but we’re enabling sales teams to become data-driven, not only in who they should target, but when.
It’s a complex tech problem with tangible real-world outcomes, join the fun!