We’re building the future of enterprise B2B SaaS with AI agents. We operate at the scale of our customers with 1% of the resources. That requires precision, good judgement, and a sense of daring. We care as much about model productivity as we do human productivity. As a software architect, you’re responsible for both.
We work exclusively with AWS Serverless products (Lambda, Step Functions, RDS Aurora). We’re obsessed with scaling without toil. We love AWS CDK. We really, really love it.
We work in Typescript and a tiny amount of Python, but we try not to be precious about these things.
Responsibilities
Design and build scalable, high-performance infrastructure.
Design architectures that allow both engineers and language models to quickly create, test, and deploy application code.
Create reliable monitoring, logging, and alerting systems to ensure platform stability and performance
Mentor teammates and lead technical decision-making across the organization
Collaborate with AI and product teams to translate complex requirements into elegant technical solutions
Drive engineering best practices, including code reviews, testing strategies, and documentation
Use codegen models to move 10x faster than you did two years ago
About you
You love language models.
You have the patience to be rigorous.
You act like an owner in everything you do.
People tell you you pick things up unusually quickly.
You love the weird little details of life in our customer’s companies.
You care about your work and you care about moving fast. A lot.
You know more than you need to know. You have an insatiable curiosity.
Top Skills
SafetyKit San Francisco, California, USA Office
San Francisco, CA, United States, 94114
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine



