Project N

< 10 Employees
< 10 Engineers
$2M - $5M Funding
Pre-Series A

We're a stealth startup building radically new systems and software that solve some of the most complex data problems on the planet. It starts by drilling down to the lowest order bit, asking fundamental questions, and rapid experimentation. The outcomes are powerful tools that redefine how businesses harness their massive swaths of data to innovate, better and faster.

Active Roles
Why join us?
  • We're building fundamentally new algorithms and architectures that could become the de facto standard for data efficiency, in the cloud and on the edge.

  • We're passionate technologists (ex-Stanford) that have formerly built petabyte scale distributed systems at distinguished companies such as Google, Pure Storage, Cohesity, Nutanix.

  • We're backed by some of the most storied investors in the technology business.

  • We already have great initial customer traction from some of the world's leading brands, ingesting billions of records into our data pipelines across multiple petabytes of data sets.

  • We care, about everything we do.


Engineering at Project N
Engineering team and processes

We hate sprints. We believe they stifle innovation and cause burn out.

So we deliberately chose to work in cycles. The typical duration for a cycle is 1 month. Each cycle begins with a discussion on current priorities, research, and execution plans. Teams are formed per cycle depending on needs and interests. The teams can range from 1-3 engineers. Cycles ensure that enough time is baked in for research. They also ensure that the focus on speed, doesn't sacrifice quality.

We use GitLab for version control, CI/CD, and release management. We empower engineers to push code to production frequently, often multiple times a day.

The result of this: speed, innovation, quality, ownership, engineer fulfillment, and most importantly customer delight.

P.S.> We celebrate vacations and encourage unplugging from work during that time. How vacations should be.

Technical Challenges

The data efficiency engine we're building needs to scale to hundreds of PBs at the finest granularity, while maintaining consistently high performance and immaculate data integrity.

Projects you might work on
  • You would get to work on building radically new data efficiency algorithms, many of which will be patented.

  • You would get to work on auto-scaling and high-performance systems that run across massive swaths of data, where every ms of latency matters.

Tech stack
Go
Kubernetes
Docker
AWS
Google Cloud
C
C++
Python

Working at Project N

Imagine a world where you wake up inspired; find meaning in your work; help each other succeed; and return home fulfilled, each and every day. We're committed to building a company that fosters this ethos. An ethos where we do the best work of our lives.

We thrive on being respectfully bold, having boundless grit, being passionate about hard, unsolved problems, and having relentless focus.

Generous Vacation
Free Food
Company Retreats
Maternal/Paternal Leave
Flexible Hours
Health Insurance
Team Activities
401(k) Contribution
Philanthropic Contributions
Relocation
Transportation
Work from Home

Interested in this company?
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