Product Manager & Engineer, Approximate Labs
Next.js
$150-300k
+ Equity
Building data fluent AI
Job no longer available
Building data fluent AI
1-20 employees
Job no longer available
$150-300k
+ Equity
1-20 employees
Company mission
To create a future where access to data analysis is universal.
Role
Who you are
- Fundamentals of computer science
- Designing, building, and shipping real-world software from scratch
- Creating intuitive and visually appealing user interfaces
- Building beautiful user interfaces
- User experience design
- Obsessively talking to users and iterating with feedback
- Experience as a founder, or on a founding team
- This role will do full-stack development with a focus on front-end development in Javascript (React, Next.js)
What the job involves
- Specifically, we are looking for someone to wear two hats: 1) Founding Engineer with a focus on frontend development and 2) Product Manager helping us define and run product experiments
- The ideal candidate is excited to work in a pre-product-market fit environment where figuring out the right thing to build is more important than building things the right way. This will involve both lots of talking to users and lots of shipping software
- What we’re building:
- Multi-modal text and data foundation model
- Foundation models like GPT-4 have demonstrated that AI can achieve human level-competency in tasks across multiple domains. We are building a multi-modal foundation model for text and data that will understand and manipulate data as well as human data analysts
- Repository of tabular data
- Increasingly large training data sets are a key driver of the rapid increase in AI intelligence. We are building a repository of tabular data with sufficient volume and diversity to train a foundation model. This data set will be similar in scope to The Pile and LAION-5B
- Natural language interfaces to data systems
- Our AI data analyst will engage with humans as a collaborator. It will need to clarify and select approaches amidst ambiguity, explain how it arrived at its answers, and adjust it's approach with feedback. All of this will be done in natural language
Our take
As the world becomes progressively more data-driven, the demand for real-time, top-quality data analytics platforms has increased. Approximate Labs is an AI research lab and product studio that is aiming to make an AI as fluent in data as GPT-3 and DALL-E are fluent in language and art. This would make data analysis more universally available, driving results such as faster scientific discovery, all while combatting misinformation.
Approximate Labs’ multi-model text and data foundation model has the ability to understand and manipulate data at the same level as a human data analyst. The AI analyst operates as a collaborator, engaging with its users in a human-like manner as it compiles and presents data, explains how it arrived at its answers and adjusts its approach based on feedback.
The young startup is raising funds to further accelerate product development and make key hires to the founding team. With the rapid increase in AI intelligence, Approximate Labs is developing a product that covers a niche in the market with substantial growth potential.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
Mar 2023
$5.4m
EARLY VC
Total funding: $5.4m
Company benefits
- Great health insurance (fully covered health, dental, and vision)
- Extreme flexibility. Work when you want, where you want, and how you want
- Unlimited vacation, because there is more to life than working
Company HQ
Boulder, CO
Leadership
Mike Biven
(Founder)Former VP of Operations at Unsupervised, Managing Director of Strategy, Talent, and Operations at Teach for America, and Business Analyst at Deloitte Consulting.
Justin Waugh
(Founder)Former Chief Scientist and Chief Architect at Unsupervised, and was a Data Scientist at divirod.
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