We're hiring!
Hello, Chair Inc. believes the fabric of the internet can be fundamentally changed by recommendations. Our first app, Appsaurus, applies cutting edge machine learning to solve the problems of App Store discoverability. Appsaurus is already awesome (
read our reviews), but it's only a hint of our ambitions to revolutionize the way content and tools are discovered and shared.
Come help us make amazing things that help other people find amazing things.
About us
We're a well funded, 4 person company based in the beautiful Mission district of San Francisco. Our incredible investors include: Harrison Metal, Mitch Kapor, Chris Sacca, Y-Combinator and David Parker to name a few. We're also proud to have Alexis Ohanian as an advisor.
Being an early employee, you'll have tons of freedom and a major voice in the overall direction of the company. We offer competitive salaries and generous equity packages. Here's what we're looking for:
Mobile Developer
Full Time, San Francisco
Description
Appsaurus is in need of a mobile sorcerer/ess to join our small company. You should be a pro with Objective-C and everything surrounding iPhone development. Experience with Android development is a big plus.
Responsibilities
- Help plan and build the future of Appsaurus on the iPhone, iPad and other mobile devices
Requirements
- Strong Objective-C background
- Multithreaded Core Data
- Core Data schema design and migration
- JSON Parsing
- NSOperation
- OpenGL manipulation of UIViews
- CoreGraphics drawing
- UIView layout, autoresizing and rotation
- CoreAnimation
- Creating and distributing iPhone frameworks
- Universal (iPhone/iPad) application development
- Performance optimization
- Helpful skills: Mac OS app development, Windows app development, Git
Interested?
User Acquisition and Community Lead
Full Time, San Francisco
Description
Appsaurus is looking for a creative and passionate professional with extensive experience in marketing and customer relations. This is a critical position at the heart of our small company. Your job will be to utilize social media, press, biz dev, email, advertising and other avenues to attract users and build our community.
Responsibilities
- Write jaw-dropping copy for the app, website, advertisements, press releases, and the Appsaurus blog
- Cultivate vibrant Appsaurus communities in social media outlets such as Twitter and Facebook
- Effectively strategize and implement unique press campaigns
- Assist with business development opportunities
- Customer support
Requirements
- Experience in tech marketing, iPhone app marketing is a plus
- Able to work with a limited budget
Interested?
UI/UX Designer
Full Time, San Francisco
Description
Appsaurus is looking for an extremely talented UI/UX designer to help us construct the future of product discovery. Our unique approach to recommendations relies heavily on user interaction and feedback, making design a key part of our company. You should enjoy tackling big design challenges but also have the details-oriented skills needed to be a paragon of pixel positioning.
Responsibilities
- Concept and implement design for web and mobile apps
- Storyboard/prototype UX
- Icon design
- Design promotional/advertising material
Requirements
- Skilled in creating industrial design inspired user interfaces
- Mastery of Photoshop and Illustrator
- Experienced in user testing
- Knowledge of HTML, CSS and JS
Interested?
Machine Learning Specialist
Full Time, San Francisco
Description
Recommendations have the potential to fundamentally change how people access information. There are numerous interesting recommendation algorithms and methods out there, but all are not equal, and as of now there's no "right way" to do it. There's plenty of room for using creative problem solving to make significant improvements. We need your help refining our approach and identifying promising new directions in our machine learning technology. This is a key position within our company, the quality of our recommendations is one of our main focuses.
Responsibilities
- Constantly research and implement machine learning strategies for app recommendations. Essentially, we want you to enter a Netflix Prize-esque competition against yourself
- Figure out how to evaluate our recommender in a way better than root mean squared error
Requirements
- Strong machine learning background beyond off-the-shelf solutions
Interested?