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 full cycle recruiting for engineering at Parallel, running searches from intake through close across all technical roles including ML, backend, data, deployed engineering, and research roles. You will partner directly with engineering leaders to define role scope, design interview loops, and calibrate what “great” looks like for each profile. You will drive sourcing and outbound for senior and hard to fill technical roles and keep every candidate moving without anyone going cold. You will help sharpen the scorecards, interviewer training, and playbooks the team runs on as engineering headcount scales quickly, report on pipeline health and pass through rates, and be trusted to close high conviction offers.
You: Have run full cycle technical recruiting at an early stage or fast growing company and know how to own engineering searches end to end. You can speak credibly with ML engineers and researchers about their work, and you know the difference between a strong systems engineer and a strong research engineer. You write outbound that gets responses from engineers who are not looking, and you know how to close a candidate weighing offers from the best AI companies in the world. You are fluent in equity and compensation conversations and comfortable navigating visa and immigration timelines. You work well solo but are just as sharp coordinating with other recruiters on shared priorities, and you move fast because momentum matters at a company at this stage.
Life at ParallelOur 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
- Full-cycle technical recruiting experience at an early-stage or fast-growing company
- Experience owning engineering searches from intake through close
- Ability to recruit for ML, backend, data, deployed engineering, and research roles
- Ability to communicate credibly with machine learning engineers and researchers
- Experience sourcing and conducting outbound recruiting for senior technical roles
- Strong candidate closing skills, including competitive offer situations
- Fluency in equity and compensation conversations
- Comfort navigating visa and immigration timelines
- Ability to work independently and coordinate with other recruiters
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.
