Develop high-impact features for our core product, drive positive change in engineering culture, and ensure well-tested, scalable code.
As a Software Engineer, you’ll help us build out our core product by developing high-impact, user-facing features. In our engineering organization, you’ll be a driver for positive change in our engineering culture, processes and technology. You will be a strong voice in product planning, drive the implementation and release of major features, and be a champion of best practices for writing well-tested, well-organized code.
You’ll become familiar with all parts of our stack. You will exercise judgment in making tradeoffs between design and feasibility. You’ll engineer your features to be scalable and resilient in a complex, single-page application. We believe that user-centric design ultimately leads to the best products, so we listen closely to our users, both external and internal. As an engineer on our close-knit, cross-functional team, you’ll be an active voice in shaping our product. We are constantly rolling out high-demand features and tackling ever greater challenges of scale. You’ll join a team where everyone—including you—is knowledgeable about development patterns and cares about the product development process.
Top Skills
APIs
CSS
HTML
Java
JavaScript
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San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
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- 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


