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Parallel is a web infrastructure company building the web for AIs. Our products are used by leading businesses in sales, marketing, insurance, and coding to create best-in-class AI agents with flexible and powerful programmatic access to the web. Backed by $230 million from top-tier investors including Kleiner Perkins, Sequoia, and Khosla Ventures, we are valued at $2 billion and are assembling a world-class team to achieve our mission.
You will make Parallel the default search layer across the AI developer ecosystem. This role owns a comprehensive pipeline spanning agent frameworks, coding tools, inference platforms, workflow builders, routing layers, and open-source chat interfaces. Your work involves shipping native integrations into major open-source projects, building commercial partnerships with platform companies, and managing ongoing relationships post-launch.
You will track competitive positioning, drive technical co-builds with engineering teams, and move deals from initial outreach to shipped integration. Additionally, you will keep the pipeline growing by identifying emerging tools and platforms, prioritizing them based on their distribution potential.
Our team works fully in-person between our Palo Alto HQ and San Francisco office. We are a flat, talent-dense organization dedicated to solving technical and creative problems. We seek individuals who share our passion for applying science, creativity, and consistency to big, complex problems with equally big outcomes.
Our core values guide our work:
We offer a competitive salary, generous equity, and visa sponsorships. Our benefits package includes 401K plans, daily lunch and office snacks, dinner at the office, unlimited vacation, and Caltrain pass reimbursement.
Work model: On-site
On-site
Parallel Web Systems operates within the technology, information, and internet sectors, headquartered in Palo Alto, California. The organization focuses on developing infrastructure specifically designed for artificial intelligence, creating a web ecosystem built with, by, and for AI systems. This approach addresses the unique requirements of machine agents interacting with digital content.
The company's technical scope covers critical components of data processing, including crawling, indexing, ranking, retrieval, and reasoning systems. These innovations aim to enhance how artificial intelligence accesses and utilizes online information. Parallel Web Systems has launched its initial product offering as a suite of APIs, enabling AI applications to perform more complex tasks using web data. This service facilitates deeper integration between autonomous agents and the broader internet, supporting the evolution of automated reasoning and data extraction capabilities.
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