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 NYC office. Parallel’s New York team works out of NeueHouse Madison Square, and your job is to make it feel like ours. You’ll manage the space, vendors, supplies, access and meals, and fix what’s off before anyone notices. You’ll run the in-person side of hiring and onboarding: candidate onsites, Day 1 for new hires, guests and visitors. Everyone who walks in should leave with the right impression. You’ll plan team gatherings, help bring company events to New York, and work with People Ops and the Palo Alto and SF office leads to keep all three offices consistent. As the NYC team grows, you’ll write the playbooks that let the office scale without you handling every detail yourself.
You: Have run an office or workplace on your own, ideally at a startup or in a coworking space where you were the only person on the ground. You’ve managed vendors, building relationships and events without a facilities team behind you. You notice the empty supply closet, the broken A/V and the guest no one met at the door. You make people feel welcome without making a production of it. You don’t sort tasks into above or below your job description. You keep many threads moving at once, you’d rather fix a process than repeat it, and you act before anyone asks.
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.
Competitive salary
Generous equity
Visa sponsorships
401K plans
Daily lunch & office snacks
Dinner at the office
Unlimited vacation
Caltrain pass reimbursement
Skills Required
- Experience independently running an office or workplace
- Experience managing vendors and building relationships
- Experience coordinating office events, visitors, candidate onsites, and onboarding
- Startup or coworking-space experience
- Ability to manage multiple priorities and proactively resolve workplace issues
Parallel Web Systems Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Parallel Web Systems and has not been reviewed or approved by Parallel Web Systems.
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Equity Value & Accessibility — Equity is prominently advertised as “generous” across roles, paired with competitive base pay. A reported ML Engineer package including substantial stock indicates equity is a meaningful component.
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Wellbeing & Lifestyle Benefits — Daily lunch, snacks, and dinner are provided, with Caltrain pass reimbursement supporting commuters. In‑person offices in Palo Alto and San Francisco enable these onsite perks.
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Retirement Support — A 401(k) plan is explicitly listed on multiple job postings. This establishes a baseline layer of retirement support alongside cash and equity.
Parallel Web Systems Insights
What We Do
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.

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