Palo Alto, CA
Web search APIs for AI agents
Parallel builds APIs including Search, Task, FindAll, and Extract that enable AI agents to access, retrieve, and reason over live web data with high accuracy and verifiable citations. They serve frontier AI teams and Fortune 500 companies building agentic applications. This infrastructure powers millions of daily requests, reducing hallucinations and enabling complex web-based tasks.
Provides legal counsel on privacy, data protection, and compliance for AI products, partnering with Product and Engineering. Owns privacy program including policies, DPAs, and tools for GDPR/CCPA adherence. Requires 5+ years experience, JD, and technical fluency in data systems.
Own end-to-end accounting for a high-growth AI web infrastructure company, including month-end close, technical accounting, audits, tax, multi-entity international operations, and ERP/systems decisions. Partner with revenue teams on billing and quote-to-cash while building scalable processes. Requires 8+ years at high-growth tech firms with deep US GAAP and SaaS revenue expertise.
Sell Parallel's web infrastructure and AI agent products to enterprise customers. Build trusted relationships with senior stakeholders, adapt to customer needs, and consistently close deals as an experienced Enterprise GTM seller for technical products.
Build and own data foundations powering model training, product development, and analytics at Parallel. Design scalable ingestion pipelines, storage/serving layers, quality/lineage/observability systems, and anticipate scaling needs in a fast-growing AI infrastructure company.
Own growth experimentation as the first dedicated growth hire. Run A/B tests on the marketing site, optimize PLG signup-to-activation flows, manage paid channels like Google Ads, and drive decisions with data on conversion rates, cohorts, and statistical significance.
Technical Product Marketing role at Parallel, responsible for translating complex APIs into developer-friendly use cases, creating content/docs/collateral, and owning product launch motions. Requires technical background, PMM or developer marketing experience at API/infrastructure companies, and strong focus on developer trust.
Run day-to-day marketing execution for an AI web infrastructure company, including producing customer case studies and testimonials, managing newsletters, coordinating events and hackathons, and posting to developer communities like Reddit. Requires 1-2 years marketing experience, strong writing, organization, and proactive ownership.
Own and execute Parallel's field marketing events (conferences, hackathons, dinners) targeted at AI engineers and technical buyers. Drive pipeline and meetings through strategic event selection, independent logistics, sales collaboration, and rigorous follow-up.
Conduct research on training and scaling models for web indexing, focusing on convergence of search, recommendations, and transformer architectures. Requires deep intuition in modern ML models and a focus on applied research.
Own the training pipeline for search and agent models, building from product usage data through fine-tuning and evaluation to production deployment. Requires deep expertise in transformer fine-tuning, data curation, and training models for ranking, retrieval, and agent behavior.
Own the multi-stage ranking pipeline for web-scale search, balancing precision, recall, latency, and compute cost across retrieval, first-pass ranking, and neural reranking.
Build and operate large-scale web indexing systems including corpus selection, searchable structures, quality/freshness models, and low-latency query serving. Requires deep expertise in information retrieval and distributed systems.
Own cloud provider relationships, build co-sell motions with cloud sales teams, manage marketplace listings, and develop joint GTM programs to drive enterprise pipeline at an AI infrastructure company.
Owns Parallel's external storytelling, builds press/analyst relationships, drives product launch coverage, and shapes AI infrastructure narrative. Requires narrative thinking, technical story resonance, and established media credibility.
Leads go-to-market strategy, builds marketing function, defines positioning and narrative for AI web infrastructure products, and drives demand through brand, content, developer community, and growth initiatives. Requires experience scaling marketing at technical API/infrastructure companies.
Designs and trains embedding and retrieval models for AI agents to access web data at hyperscale, balancing research innovation with production efficiency for sub-second latency and fresh indexes.
Leads development and architecture of marketing site, developer dashboard, and technical docs using modern front-end frameworks. Requires strong TypeScript, CSS, Vercel, and CMS experience with focus on intuitive UIs, performance, and collaboration with product/marketing teams.
Builds and maintains high-scale backend systems handling millions of daily requests and stewards developer-friendly APIs. Requires deep expertise in distributed systems, databases, scalable design, and API ergonomics.
Owns end-to-end design of developer-facing products, reimagining playgrounds, API navigation, and scalable systems. Requires shipped dev tools experience, strong visual craft, systems thinking, and frontend comfort to collaborate with engineering.