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 the models behind Parallel’s biggest decisions. Working closely with our strategic finance lead, you’ll own key parts of the company model, headcount plan, and scenario analysis, and you’ll produce the analysis behind our board materials. You’ll get into pricing, unit economics, compute costs, and metrics, often in the same week, and turn what you find into clear recommendations. You’ll pull data from wherever it lives, clean it up, and build the reporting that leadership checks before deciding on hiring, pricing, and spend. You’ll work across finance, GTM, and engineering, and your scope will grow as fast as you earn it.
You: You’ve spent a few years in a high-rigor seat like banking, consulting, PE, or strategic finance at a high-growth company. You’ve built models from first principles, not templates, and you can defend every assumption when someone pushes. You’d rather pull the raw data yourself than wait for someone to hand it over. You’ve taken a messy analysis and turned it into a one-page answer that people outside finance could act on. You use AI tools to do real work faster. You take ownership without being asked, flag problems early, and want to run strategic finance yourself one day.
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
- Several years of experience in investment banking, consulting, private equity, or strategic finance at a high-growth company
- Experience building financial models from first principles
- Ability to defend modeling assumptions and analytical conclusions
- Ability to independently gather, clean, and analyze raw data
- Experience translating complex analysis into concise, actionable recommendations
- Experience using AI tools to accelerate work
- Strong ownership, initiative, and ability to identify problems early
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.
