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Driven. Pioneering.

We’re a team of developers changing the way people code. Join us on our quest.

Join the Team

Our Mission

Kite is using machine learning to automate away the tedious parts of programming so software developers can revolutionize the world faster.

Our Values

Positive Impact

We see a world where everyone will be able to program, Kite will make a huge difference to all future generations.

Courage

Our small team is building the future of programming. We’re fearless and not afraid of taking risks!

Innovation

“What can we do better?” We love new ideas and coming up with features our users find valuable.

Collaboration

We have the autonomy to put our skills to work to best support our team efforts and get things done quickly.

“It’s great to be building a product where
I’m the target demographic”

What We’re Building

Software is in the process of transforming the world, but demand for programmers continues to outstrip supply. Coding today is very repetitive, and we see an opportunity to apply machine learning to eliminate the repetition and increase developer productivity. First, we created single-word completions sorted by popularity.

Today, Kite can complete entire lines of code as you type, all through secure cloudless processing! In the long term, we think Kite will write most of the code for you, allowing programmers to focus on high-level decisions like data representation and abstraction design.

Who We Are

We’re a team of talented developers and data scientists working together to change programming forever. We’re motivated by a deep belief in our problem space — eliminating the repetitive parts of writing code — and are excited to build a product that we use ourselves.

Backed by Trinity Ventures and the founders of Dropbox, PayPal, and Twitch, Kite has raised $17 million to build the future of programming.

Come along for the adventure and grow with us!

Meet Our Team

Naman Bharadwaj
Naman Bharadwaj
Engineering
CMU, FB, Google, Affirm, program analysis enthusiast, building keyboards and learning the violin.
Moe Nadal
Moe Nadal
Machine Learning
PhD at Bordeaux University, Yseop, Credit Karma. Loves applying DL to help developers, playing guitar and spending time in the snow!
Adam Smith
Adam Smith
Founder
MIT, Xobni (Y Combinator '06), sold shareware online at age 13, and long-time Burner.
Daniel Hung
Daniel Hung
Product
MIT, Deutsche Bank, Homejoy, sports, music, and snowboarding.
Jonathan Klaassen
Jonathan Klaassen
Engineering
Georgetown, Livefyre, Adobe, trail running, sports, and the outdoors.
Juan Lozano
Juan Lozano
Machine Learning
Stanford, cofounder of Blusofa, InsideMaps, basketball, tennis, music, and mathematics of all sorts.
Ed Zhao
Ed Zhao
Engineering
UC Berkeley, Amazon. Fitness junkie, sports fanatic, food and coffee snob.
Devan Zappia
Devan Zappia
Recruiting
UC Davis, Google, Facebook, hiking, watching combat sports, watching football, beginner level boxing/jiu-jitsu.
Tarak Upadhyaya
Tarak Upadhyaya
Machine Learning
MIT, Dropbox (previously interned when team was only 3 people!), Counsyl, and motorcycles.
Brendan McDonnell
Brendan McDonnell
Operations
Northeastern, airbnb superhost, a native Floridian, dog dad to #teddybeaglebark
Caelan Urquhart
Caelan Urquhart
Marketing
UVA, previously strategy consulting and marketing at PlushCare, outdoor enthusiast, constantly travel hacking, jazz fan
Soo Park
Soo Park
Recruiting
UC Berkeley, Rakuten, Wish, loves all puzzles, especially Rubik's Cube, and going to concerts.
Hrysoula Papadakis
Hrysoula Papadakis
Engineering
Stanford, startups, Counsyl, likes to read in her spare time, and all things brunch!
Wathid Assawasunthonnet
Wathid Assawasunthonnet
Machine Learning
MIT and Ph.D. from UIUC, Apple, Thailand native, enjoys martial arts (jujutsu and Muay Thai), cooking, and gardening.
Caren Guo
Caren Guo
Machine Learning
Tsinghua, Stanford, Rocket Fuel, loves cats, badminton, and books of all sorts, learning Japanese.
Sinan Ariturk
Sinan Ariturk
Machine Learning
University of Maryland, Johns Hopkins University, NextRoll, math, sports, music.
Patrick Lung
Patrick Lung
Product
UNC, Microsoft, Teespring, outdoor adrenaline junkie, all types of dance.

Benefits

Read details from the team on Glassdoor.

Competitive salary and equity package
Flexible vacation time
Health, dental, and vision plans
Daily lunches and snacks
401k retirement plan
Convenient location and gorgeous office space

Current Openings

Engineering - Core Engineering

Senior Software Engineer
San Francisco | Full-time
Software Engineer, Backend Systems
San Francisco | Full-time
Software Engineer, Full Stack
San Francisco | Full-time
Software Engineer, Program Analysis
San Francisco | Full-time

Engineering - Machine Learning

Data Engineer
San Francisco | Full-time
Machine Learning Engineer
San Francisco | Full-time
Machine Learning Researcher
San Francisco | Full-time

Marketing

Developer Relations
San Francisco | Full-time
Product Marketer
San Francisco | Full-time

Product

Product/UX Designer
San Francisco | Full-time
Don’t see the right role, but still interested in working with us?

Drop us a line at flywithus@kite.com