Posted onFeb 16, 2026
LocationSan Francisco, California, United States | Palo Alto, California, United States (On-site)
Employment typeFull-time

At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of APIs for AIs to do more with web data.

We are a fully in-person team based in both San Francisco and Palo Alto, CA. Our organization is flat; our team is small and talent dense.

We want to talk to you if you are someone who can bring us closer to living our aspirational values:

  1. Own customer impact -It’s on us to ensure real-world outcomes for our customers.

  2. Obsess over craft -Perfect every detail because quality compounds.

  3. Accelerate change -Ship fast, adapt faster, and move frontier ideas into production.

  4. Create win-wins -Creatively turn trade-offs into upside.

  5. Make high-conviction bets -Try and fail. But succeed an unfair amount.

Job: As our first design hire, you will shape and build the best consumer showcase of what Parallel’s powerful APIs can do. You’ll also be responsible for building a developer playground that’s a joy to use. Additionally, you will extend and evolve our brand across multiple surfaces—product, marketing, and beyond—ensuring every touchpoint feels cohesive and intentional.

You: Love crafting experiences that are as beautiful as they are functional.Your portfolio shows end-to-end ownership, from design exploration to polished, shipped work. You have taste in both product and brand design, and you obsess about the details that make interfaces delightful. You thrive at the intersection of usability and identity, and you want your work to be seen, used, and loved by millions.

Our founder is Parag Agrawal. Previously, he was the CEO and CTO at Twitter. Our investors include First Round Capital, Index Ventures, Khosla Ventures, and many others.

Parallel Web Systems

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Parallel Web Systems builds web search and research APIs purpose-built for AI agents, providing production-grade infrastructure that outperforms humans and leading AI models on complex research benchmarks.

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