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Staff Software Engineer (AI Tooling)

Greylock Partners · San Francisco, CA

Spotted 2h ago

Job details

Level
Staff / principal
Experience
3+ years
Posted
Oct 14, 2026
Last confirmed open
Oct 14, 2026
Job description

About this role

Greylock has a history of creating and investing in category-defining companies in the enterprise. We're privileged to invest in a startup focused on a vital developer tool for the evolving AI product landscape. Like other successful tools such as Datadog, a seamless, intuitive, high-performing user experience will be vital to this company's success.

We are looking for a software engineer who excels at creating fast, reliable, and user-friendly web applications. Given the product's data-rich nature, experience with complex data visualization layouts would be a highly valuable asset. The ideal candidate will have at least 3 years of industry experience and expert-level proficiency in front-end technologies, particularly TypeScript, D3, React, HTML, and CSS.

Experience in founding or working at startups is a major plus, as it demonstrates adaptability, a startup mindset, and experience with rapid iteration and growth. Familiarity with GPT models, including writing prompts or experimenting with AI-powered applications, is also a valued skill, showing a strong interest in emerging technologies and hands-on experience with AI-driven tools.

Stage : Series A Team Size : ~15 Location : San Francisco, 5 days a week.

About Greylock

Greylock is an early-stage investor in hundreds of remarkable companies, including Airbnb, LinkedIn, Dropbox, Workday, Cloudera, Facebook, Instagram, Roblox, Coinbase, and Palo Alto Networks.

More can be found about us here: https://greylock.com/ About the Greylock Recruiting Team: As full-time, salaried employees of Greylock, we provide free candidate referrals/introductions to active and upcoming investments to help them grow/succeed (as one of the many services we provide).

Our recruiting team, combined, has over 125 years of in-house recruiting experience at successful startups through FAANG’s and over 30 years of VC Talent.

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