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 run the scheduling and admin side of recruiting for every team at Parallel: Engineering, GTM, and G&A. You'll build and manage interview loops across busy calendars and time zones, from technical interviews and work samples to sales panels and finance screens. You'll keep Ashby accurate in real time and be the main contact for candidates from first screen to signed offer. You'll work with both the technical and non-technical recruiting teams, handle onboarding logistics with People, and track recruiting metrics so hiring managers and leadership always know where things stand. You'll be Parallel's first coordinator, so you'll design how coordination works here, not inherit it.
You: You've coordinated high-volume hiring at a fast-moving company, ideally across both technical and non-technical roles. You know a technical loop runs differently from a sales loop. You've kept an ATS clean when no one was checking. You've rescheduled a five-person panel on short notice without the candidate noticing anything went wrong. You treat every scheduling email as part of the candidate experience, and you handle comp and offer details with discretion. You'd rather build the system once than solve the same problem twice. You flag problems 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 coordinating high-volume hiring at a fast-moving company
- Experience coordinating technical and non-technical recruiting processes
- Ability to manage complex interview loops across calendars and time zones
- Experience maintaining accurate applicant tracking system records
- Ability to handle compensation and offer details confidentially
- Ability to build and improve recruiting coordination systems and processes
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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