Recall.ai
The API to get recordings, transcripts, and metadata from meetings
Developer Experience Engineer [In Person, SF]
About the role
This is a generalist role that is both technical and customer facing.
What You'll Do
You'll own the entire developer experience function. This means doing absolutely everything to do with developer experience, including:
- Developer Success: You'll be in all customer Slack channels as the frontline to help answer their questions and solve their problems. You'll give them advice on best practices for integrating with our API, and provide thoughtful support when they get stuck or need advice.
- Technical Writing: You'll develop high-quality sample code, documentation, and technical demos to improve the developer experience.
- Product: You'll chat with our customers to deeply understand what they need. You'll advocate for them by communicating their feedback to the rest of the team. You'll be the person we lean on when we build out self-serve developer flows.
- Internal Tools and Workflows: You’ll build tools to make our debugging processes more efficient and triaging less time consuming. You’ll have full agency to add new tools and processes as needed to help our customers to be more successful, faster.
- And Other Things: Rarely, you may need to join sales calls as a technical resource, contribute to a technical marketing blog post, etc.
Most of the developer experience work will be post-sales. This means that at the moment, this role doesn't involve speaking at tech conferences or writing a ton of marketing content.
What It Will Be Like
- Huge impact. You'll have a major role in building a culture centered around customer empathy. You get to build the foundations of the company and developer experience.
- No bureaucracy. You’ll own and drive every initiative you work on from start to finish. We fully trust you.
- Massive growth opportunities. And not just on the technical/customer-facing side. Anything you want to learn about the business we’ll teach you.
Your Qualifications
- Deep customer empathy, including the desire to help people and solve their problems
- Strong ability to communicate complex technical topics in a simple and understandable way
- 2-3 years of software development experience
Who You Are
- You want to work hard. As a founding member of the team, there is a lot of work that needs to be done.
- Self-starter who finds excitement in building a function from scratch
- Passionate about being a founding startup member
- Feels fulfillment in helping others
- Not afraid to do things that have never been done before
- Enjoys speaking with customers
Who is this not a fit for?
- You can’t work hard right now. Being the 4th developer experience engineer hire at a startup is going to be a lot of work. The entire company is less than 30 people, and this will likely the hardest job you've ever had.
- You need a stability. As a fast growing startup with 1000+ customers and 10+ years of runway, we're in a pretty good spot. However, startups are inherently risky. If stability is important to you, this founding role may not be the right fit.
- You’re not excited about helping developers. You won’t be able to succeed at this role unless you love our customers and want to truly help them in whatever way possible.
Our Company Culture
(Why you may or may not be excited about joining us)
Raw hours make a difference
- Working too many hours doesn't guarantee success, but working too few leads to failure. We expect everyone to put in their best effort every day, but we generally don't expect you to work late evenings or on weekends. We are careful to avoid burnout, but we also don't want to sugarcoat the fact that raw hours can make a huge difference in a startup.
Customer obsession
- We would be nothing without our customers, and we believe being obsessed about our customers is a competitive advantage. Every single member of the team at Recall responds to customers, helps them debug issues, and deeply understands our customer's goals, even outside of Recall. The easiest way to obsess over our customers is to genuinely care about as humans, which naturally turns into the desire to want to help them.
What We Offer
- Competitive equity
- Computer and workspace enhancements
- Unlimited vacation
- Quarterly company off-sites with the team and explore exciting destinations around the world
- Opportunity to take on significant responsibility and ownership in building out Recall
We are looking forward to meeting you!
About Recall.ai
Recall.ai is building a new hyperscaler for the world's largest dataset: conversation data. Our mission is to get all the conversation data in the world into a form that's accessible and understandable by AI.
Companies like Salesforce, HubSpot, Datadog, Rippling, Deel, Monday.com, Calendly, Asana, and Workday already work with us. Every software company of note is either already powering their AI features through Recall, or in a deal cycle with us.
They choose us because this problem is genuinely important and hard to solve.
Here's why our mission is important: 50-70% of an office worker's day is uncreative toil that AI can alleviate (e.g. sending emails, scheduling, drafting contracts, etc.). But AI is bottlenecked by context, not intelligence. Just like how humans get most context from conversations, we’re giving AI the eyes and ears to access the same conversation data set.
This is a brutal infrastructure problem because conversations happen all at once. At 9am Pacific, millions of people across North America click "start meeting" within 60 seconds of each other, every single hour. Our load graph spikes vertically at the top of every hour. Our weekly peak load is 4,000% higher than our weekly minimum. When Amazon built AWS, they built it to handle Black Friday, one day a year where millions of people hit their systems at once. We deal with the equivalent of roughly 240 Black Fridays a week.
We run nearly 100,000 computers in our cluster, processing the equivalent of 3,000 full length movies of raw video per second at peak load, and we're just getting started. All the words ever written in human history are still less than 20% of one year of US office conversations.
What makes this exciting is how early we are. We captured 0.02% of office conversations last year, just in the US. If in 5 years, 20% of tech forward companies want conversation context inside their AI tools, that's a thousand times more data than we process today.
