Founding Engineer, Full-Stack

About PromptArmor

We break LLM Applications.

Or at least, that’s how we started. This is core to our DNA, puts us on the cutting edge of AI security, and you can get an idea of some of our discoveries below:

• Data Exfiltration from Slack AI (hit #1 on HackerNews)
• Data Exfiltration from Writer.com (hit #5 on HackerNews)
• many more under responsible disclosure

We’ve been using this expertise to build defenses, helping the largest enterprises in America securely accelerate their AI journey by solving the most complex, net-new AI security problem set that exists today (hint: not content moderation). We work with teams from the cutting edge AI-native unicorn to iconic Fortune 100s, to the biggest law firms in the world.

We are building one of the only product platforms in AI security that people actually want.

Fun Facts

Here’s some other things you might care about (but hopefully less than the above):

• Our team has experience from companies like Google, Tesla, Roblox, and Panther.
• We are backed by top investors (Y Combinator, Joe Montana, Chris Howard, Mark Pincus), have raised $3.2M, and run lean so we have lots of runway.
• Here’s a video from Garry Tan (CEO of Y Combinator) talking about us on the first Lightcone podcast.
• You will get cool but respectable swag
• We have an office dog who gets very excited when we ship

Our Mission

The biggest barrier to enterprise AI adoption is security. This is a hard, category-defining problem.

But the rewards are immense. If we win, we will enable trillions in economic value and unlock human potential.

We intend to win. And we hope you join us.

About The Role:

You’ll be working with the founders and a tight knit team in San Francisco (we work in person, 5-6 days of the week) to build and scale the PromptArmor platform - architecting, building, and iterating on new and existing systems across the stack.

Technical Requirements

• Excellence in:
  • Python (or a similar language)
  • Designing and implementing distributed systems
  • React, Next.js (or a similar frontend framework)
• Interest in:
  • AI Security
  • Leveraging LLMs
  • Infrastructure

You’re likely a good fit if:

• You’ve gone 0 to 1 with a product as a founder, engineer, or for a side project
• You have interest across the stack
• Learning new technical skills and mastering them excite you.
• Have great communication skills and product intuition
• You like owning products end-to-end

We don’t care about where you went to school, how many years of experience you have, or anything other than the above, and the following:

What We Value

• Focus:
  • We only care about customers, product, and our team -- everything else is noise.
• Customer Oriented:
  • You want to help your users succeed.
• Ownership:
  • You will dive into the details to get every aspect right.
• Adaptability:
  • You move fast, and adapt to change quickly. The future is uncertain, but that’s why its fun!
• Excellence:
  • You set a high bar for yourself. And are internally motivated to hit it. And then once you hit it, you move that bar even higher.

Benefits

Compensation:

• Base: 120k-180k
• Equity: .75-2%
• Company and Individual Performance Bonus: Equity + Cash

Intangibles:

• Working on the cutting edge of AI security
• Working with and learning from a cracked team of engineers, AI security practitioners, and security GTM experts
• The opportunity to rapidly grow technical and product skillsets

Applying

We’re an early stage company, based in San Francisco and work in person from the office (one of the only real office buildings in Pac Heights, we got lucky). We vow to never have an office in SOMA or any other Gotham-esque part of the city.

To apply, please attach your resume and write a short description of the project/achievement you’re most proud of (could be technical or non-technical) in your message or email it to careers[at]promptarmor.com

Interview Process

1. Intro Interview (30 minutes)
   1. Get to know you, your interests, and what you’re looking for
2. Interview with both Founders (15 mins)
3. Technical Interview #1 (1 hour)
4. Onsite (2.5 hours)
   1. System Design - 1 hour
   2. Functional Programming/Algorithms - 1 hour
   3. Lunch - 30 minutes
5. Vibe Check with Goose (office dog)
6. Offer