Member of Technical Staff, Search Ranking

Palo Alto, San Francisco

About the role

About us Parallel is a web infrastructure company. Our products are used by leading businesses in sales, marketing, insurance, and coding to build best-in-class AI agents with flexible and powerful programmatic access to the web. We've raised $230 million from Kleiner Perkins, Sequoia, Index Ventures, Spark Capital, Khosla Ventures, First Round, and Terrain to build the web for AIs. We're currently valued at $2 billion and we're forming a world-class team of engineers, designers, marketers, sellers, researchers, and operational experts to achieve our mission. Job: You will own the multi-stage ranking pipeline that narrows a web-scale set of candidates down to the handful of best passages for a query, spending the least compute necessary to do it well. You will push precision and recall across fast candidate retrieval, lightweight first-pass ranking, and heavier neural reranking, decide how much compute each query deserves, and grade everything on real usage outcomes rather than offline proxies. You: Have deep intuition for relevance, feature engineering, and the trade-offs between quality, latency, and cost. Think rigorously about how ranking, retrieval, and agent behavior inform one another, and how to train models that serve all three. You care about your research being applied to product and systems that millions use. Life at Parallel Our team works fully in-person , between our Palo Alto HQ and San Francisco office. We’re a flat, talent-dense organization dedicated to solving technical and creative problems. We seek like-minded individuals who share our passion for applying science, creativity, and consistency to big and complex problems with equally big outcomes. These are our values: Own customer impact: It’s on us to ensure real-world outcomes for our customers. Obsess over craft: Perfect every detail because quality compounds. Accelerate change : Ship fast, adapt faster, and move frontier ideas into production. Create win-wins : Creatively turn trade-offs into upside. Make high-conviction bets : Try and fail. But succeed an unfair amount.

Compensation &

benefits Competitive salary Generous equity Visa sponsorships 401K plans Daily lunch & office snacks Dinner at the office Unlimited vacation Caltrain pass reimbursement

About Parallel Web Systems

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 API for AIs to do more with web data.

Other roles at Parallel Web Systems

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Job details

Location

Palo Alto, San Francisco

Company

NameParallel Web Systems
IndustryArtificial Intelligence (AI)
Team Size2

Funding

Total raised

$230M

Last stage

Series A

Investors

Sequoia
Kleiner Perkins
Index Ventures
Khosla Ventures
First Round Capital

Founders

PA

Parag Agrawal

Founder

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.