Member of Technical Staff -- Full-stack Software Engineer
Compound AI
San Francisco Bay Area
See who Compound AI has hired for this role
See who Compound AI has hired for this role
Compound AI provided pay range
This range is provided by Compound AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$150,000.00/yr - $300,000.00/yr
About Twenty Labs / Compound
Twenty Labs is an applied research lab working on augmenting knowledge workers, starting with finance. The penetration of AI in finance is still limited and we want to be the company that delivers AGI to finance through our product, Compound (@getcompoundai). Some product videos can be found on YouTube.
You'll be joining a highly technical founding team, including leading researchers and engineers from Google DeepMind/Brain and Microsoft who pioneered research in language models, shipped GenAI products to billions in production, paired with domain expertise from top finance and consulting firms (Coatue, Bain, Y Combinator).
Benefits
We're seeking exceptional full-stack engineers who can create AI-native product experiences that delight and dramatically amplify productivity for discerning finance workers. You'll work closely with the founders, translating cutting-edge AI advances into innovative, intuitive products poised to disrupt major incumbents in the finance workflow (e.g. Excel).
You, the ideal candidate
Twenty Labs is an applied research lab working on augmenting knowledge workers, starting with finance. The penetration of AI in finance is still limited and we want to be the company that delivers AGI to finance through our product, Compound (@getcompoundai). Some product videos can be found on YouTube.
You'll be joining a highly technical founding team, including leading researchers and engineers from Google DeepMind/Brain and Microsoft who pioneered research in language models, shipped GenAI products to billions in production, paired with domain expertise from top finance and consulting firms (Coatue, Bain, Y Combinator).
Benefits
- Comprehensive Medical/Dental/Vision insurance for you and dependents, including $0 premium plan with company HSA contribution
- 401(k) plan with 4% match
- Catered daily team lunch
- Urban downtown San Mateo office, 5-minute walk from Caltrain and free parking
- Time off as you need it
- Top-quality computers and ergonomic workspace
- Corporate AI subscriptions as much as you need for work
- We seek out the 10% of people who account for 90% of productivity and strive to be a small and talent-dense team.
- No formal performance reviews. If you're here, you're a high-performer.
- Our organization is flat with no middle managers and you will work directly with the founders who all code.
- No empire building – we operate as one team.
- If you see something you can fix efficiently end-to-end, just do it.
- We love being in-person at our San Mateo office 5-days a week for maximum bandwidth communication and enjoying delicious local food together.
- We write blameless post-mortems (incident reports) for any service outages to document and constantly improve reliability.
- We “Feel the AGI” and want to bring it to others to massively improve productivity.
We're seeking exceptional full-stack engineers who can create AI-native product experiences that delight and dramatically amplify productivity for discerning finance workers. You'll work closely with the founders, translating cutting-edge AI advances into innovative, intuitive products poised to disrupt major incumbents in the finance workflow (e.g. Excel).
You, the ideal candidate
- Have created high-performance and polished web applications end-to-end
- Are an expert in the latest frontend technologies – TypeScript, React, Tailwind, NextJS
- Can make non-trivial changes to backend microservices (say in NodeJS or python), and design new ones as needed to implement features end-to-end
- Are an expert in at least one statically-typed language, have a strong bias for type-safety, and can decide the best programming language for a task considering trade-offs (velocity, scalability, maintainability)
- Are experienced in deploying services (docker, kubernetes) to GCP, AWS, Azure
- Are not hesitant to rewrite existing systems when it makes sense
- Use AI to augment yourself, but you also augment AI (thoroughly review AI-code, catch its bugs, and call-out poor design)
- Are invigorated by high-performing peers and doing high-quality work
- Love technically challenging problems
-
Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Engineering and Information Technology -
Industries
Technology, Information and Internet
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