Recall is the universal API for meeting bots. Our unified API captures data from meeting platforms like Zoom, Microsoft Teams, and Google Meet. We support over 1000 companies today, and process millions of hours of meeting data every year. We provide a simple API to a problem that typically takes our customers more than a year to build in house, and a team of 5 to maintain forever.

We’re at an inflection point in our growth. In a market where everyone is mining for gold, we’re selling shovels. We grew 1300% last year to multi-million ARR, and serve category leaders such as Calendly, Apollo.io, Instacart, Mindtickle, and more. Our NRR is 150%.

Learn more about this role here!

Recall.ai’s mission is to make it easy for developers to work with conversation data.

Conversations have become the world’s largest dataset. Every year there are more words spoken over phone calls & video conferences than on every webpage on the internet.

Recall.ai is the foundational infrastructure enabling 400+ companies to tap into this dataset.

Build Foundational Infrastructure for the World’s Largest Dataset

You'll be our seventh engineering hire in our downtown SF office. This role is in person five days a week. You'll have full ownership over major features, play a huge role in creating the culture of our engineering team, and will work closely with the founders.

You will develop high performance real-time code, deploy to large scale infrastructure, and process massive volumes of data. To give you a sense of the problem space you’ll be working in:

• We process over 1TB per second of raw video at peak load
• We launched 6 million+ EC2 instances in the last month

Responsibilities

• Build the core product, from APIs, to real-time video processing pipelines. Be independent and own major features through development and deployment.
• Operate, scale and extend our extensive video processing infrastructure. You'll be responsible for running your code in production.
• Work directly with customers to solve their problems. All team members participate in customer support in order to drive empathy for our users and help us build better products.

Your Qualifications

• 4+ years of software development experience
• Deep customer empathy, including the desire to speak with customers and make product decisions
• Strong ability to learn new technologies and be productive in unfamiliar domains
• Bonus points: Previously founded a startup. Extra bonus for a dev-tools startup.

You might be the right fit if…

• You love writing code, but you love having impact more: We’re a team of engineers at heart, but our #1 goal is building the best possible product. That means making pragmatic choices and looking for 80/20 solutions.
• You’re great at “figuring it out”: Recall.ai is a low-structure, high-trust environment. There’s minimal process, and we’re growing so fast that circumstances are constantly changing. If you can take a high level goal and independently figure out how to achieve it, you’ll fit in great.
• You don’t give up: The most impactful problems we’ve solved initially seemed impossible. We work in a uniquely hard problem domain, and every important problem needs heaps of persistence.
• You want to be a founder: Joining early at a fast-growing, high-talent-density startup is the best thing you can do if you want to be a founder. Anything you want to learn about startups or the business, we’ll teach you.

You might be the wrong fit if…

• You’re looking for a chill gig: Startups are very hard, especially if they’re growing fast. You’ll have a ton of responsibility, and there’s always an enormous amount of stuff to do. Raw hours actually make a big difference in the impact we can make right now.
• You want to ship perfect code: Velocity is a startup’s only advantage. We don’t have the luxury to wait for perfection, and we’re always looking for ways to get more done with less. We release as soon as we can, and get customer feedback immediately.

Knowledge of our tech is not necessary, but if you're curious, we use:

• API Frontend: Django
• Real-time Video Processing: Rust
• Database: Postgres
• Infrastructure: Kubernetes running on AWS EKS. All infrastructure managed through Terraform.