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Salary
$150k – $300k per year
Location
In office (San Francisco)
Seniority
Staff
Visa
Sponsorship offered in the posting · H-1B filings in 12 months: 10 · for this role: 7
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 31, 2026. First seen by Alion on Jun 23, 2026. Parallel scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Parallel Web Systems builds web search and research APIs for AI agents, used by developers and enterprises that need agents to find and synthesize public web data. It runs its own web-scale index of billions of pages updated daily and offers a Search API, a Task API for web enrichment and deep research with citations, and related tools for automated data collection. Founded in 2023 by former Twitter CEO Parag Agrawal, it serves more than 100,000 developers and customers such as Clay, Harvey and Notion, and has raised $230 million, including a $100 million Series B led by Sequoia in 2026.

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.

The role:

You will own the training pipeline behind the models that power both Parallel’s search stack and Parallel’s agents. On the search side, that means the rankers, classifiers, and query models that surface the right information. On the agent side, that means the models that help our agents plan, reason, and execute high-value tasks over web data. You will build the path from real product usage to high-quality training data, fine-tune and evaluate these models rigorously, and ship them safely to traffic used by millions.

About you:

Have deep intuition on modern models and training, including transformer fine-tuning, data curation, and the craft of label quality. 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.

You might be a good fit if you have:

  • Bachelor's degree or equivalent combination of education, training, and professional experience

  • A field relevant to the role as demonstrated through coursework, training, or professional experience

  • Years of experience required will correlated with the internal job level requirements for this position

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

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