Member of Technical Staff, Retrieval & Indexing
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At a glance
Requirements
Credentials this posting asks for.
Job overview
Parallel Web Systems is hiring a Member of Technical Staff, Retrieval & Indexing. Parallel Web Systems is seeking a Member of Technical Staff to build and operate large-scale full-text indexing systems for the web. This role involves working across the full lifecycle, from corpus definition and searchable structure creation to building quality signals and serving queries efficiently. The ideal candidate will anticipate bottlenecks and ensure architectural evolution to meet increasing demand.
Key focus areas include Build and operate systems for large-scale full-text indexing over the web, Decide what belongs in the corpus, and Build searchable structures that hold the corpus.
Important skills include Information Retrieval, Distributed Systems, Performance Optimization, and Reasoning About Trade-offs. Preferred (not required): Customer Impact, Obsess Over Craft, Accelerate Change, and Create Win-wins.
Skills & qualifications
Skills
Benefits
Full job description
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 build and operate the systems that let Parallel run its own large-scale full-text index over the web. You will work across the full lifecycle: deciding what belongs in the corpus, building the searchable structures that hold it, building the signals and models that judge source quality and freshness, and serving queries against the index quickly and economically. You will anticipate bottlenecks before they appear and ensure the architecture evolves to meet increasing demand.
You: Have deep intuition on information retrieval, distributed systems, and performance tuning. You like to reason about the trade-offs between classical and neural retrieval, and between cost, reliability, and latency. You care about your work helping agents find the right information, and about infrastructure that can support products used by millions without breaking a sweat.
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:
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Own customer impact: It’s on us to ensure real-world outcomes for our customers.
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Obsess over craft: Perfect every detail because quality compounds.
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Accelerate change : Ship fast, adapt faster, and move frontier ideas into production.
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Create win-wins : Creatively turn trade-offs into upside.
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Make high-conviction bets : Try and fail. But succeed an unfair amount.
Compensation & benefits
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Competitive salary
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Generous equity
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Visa sponsorships
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401K plans
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Daily lunch & office snacks
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Dinner at the office
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Unlimited vacation
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Caltrain pass reimbursement
You've read the whole posting — now see how you match it.