GTM Strategic Finance
Parallel Web Systems
GTM Strategic Finance
Parallel Web Systems
APIs for AI-driven web research
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 be a core part of the Go-to-Market (GTM) Strategic Finance team. You’ll partner directly with revenue leadership on hiring plans, quota and capacity models, compensation plans, and spend. Additionally, you will help inform complex strategic distribution and customer deals. You’ll turn pipeline, attainment, and unit economics into recommendations that impact the sales organization. You’ll build the operating plan and bookings forecast for the sales org and hold it accountable to them. You’ll bring a financial lens to pricing and packaging across usage-based and committed-spend models, and you’ll set the credits and discount policy, as well as margin targets that the deal desk enforces. You’ll work with the broader Corporate Finance team on sales planning and board reporting. As the function grows, you’ll be instrumental, early, contributor and grow with Parallel.
You: You’ve spent a few years in a high-rigor seat like investment banking or strategy consulting, followed by an investing role at a private equity or growth firm, or a GTM finance role at a high-growth company. You’ve set sales strategy including quotas, building capacity models, and commission plans alongside sales leaders who trusted your numbers. You’ve used AI tools to do real work faster, and you’re eager to find new ways to apply them. You take ownership without being asked, flag problems early, and want to grow into a finance and general business leader at Parallel.
We believe in a fully in person work culture 5 days a week. We’re building strong offices in San Francisco, Palo Alto, Austin, and New York. Your office and in office days will depend on your team, and we will walk you through the details during the interview process. 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
APIs for AI-driven web research
Parallel Web Systems builds infrastructure and tools that let artificial intelligence use the web effectively. Its core products are APIs, including a Deep Research API and a Search API, that give AI agents fast and accurate access to web data. The systems re-engineer every layer of data flow—from crawling and indexing to ranking—so machines can consume information efficiently rather than humans. Developers and enterprises embed these APIs into their applications to enable real-time research, workflow automation, coding assistance, and market intelligence. The company differentiates itself by focusing on AI-native web access and machine-to-machine research, creating a programmatic web where AI agents can autonomously query, analyze, and synthesize information. Its goal is to establish a standard way for AI to interact with the web, powering automated research and data-driven workflows at scale.
Explore more opportunities at Parallel Web Systems