Frontend Engineer at SafetyKit (San Francisco, CA)
SafetyKit· San Francisco, CA·
Role details
Work type
Onsite
Employment
Full-Time
Job description
We’re building the future of B2B SaaS with AI agents. We’re an enterprise company that cares a lot about user experience. You’ll own the interfaces and tools that our customers use to make sense of and tune millions of agent actions and decisions operating over 100% of their platform data. You’ll work directly with customers every day and have unusual influence over operations and policy-making at the world’s biggest companies. We work in React, Typescript, and a tiny amount of Python, but we try not to be precious about these things.
Responsibilities
- Turn language models into useful, functional, and beautiful products.
- Get to know our users deeply, using your product intuition to decide what matters to them. You’ll have to choose will need to make decisions on when time is best spent working on ‘perfect’ vs ‘good enough’
- Define and maintain best practices in our frontend codebase.
- Clearly communicate complex ideas
- Use codegen models to move 10x faster than you did two years ago
About you
- You love software.
- You have a good design sense.
- 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.
Why work at SafetyKit
- Culture: Described as a “tightly-bound team of autonomous operators” with a high bar for talent and a bias for action. The team includes former Stripe, Netflix, Meta, and MIT/Princeton engineers.
- Remote/Hybrid: Fully in-person in San Francisco, five days a week.
- Impact: Early-stage company (pre-product-market fit achieved) with massive customers – “99.9% of the value we’ll ever produce is ahead of us.”
- Perks & Environment: High ownership, direct collaboration with founders, and a chance to shape a product already used by billion-dollar platforms. Emphasis on learning from the best and moving at “maximum velocity.”