Research Scientist
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.
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.
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 developer partnerships pipeline to make Parallel the default search layer across the AI developer ecosystem. Build OSS integrations, commercial partnerships, and joint marketing content with agent frameworks, coding tools, and inference platforms.
First People Ops hire responsible for employee lifecycle, benefits, compliance, and building scalable HR processes on top of Rippling at a $2B AI infrastructure startup.
Lead security strategy and program for AI web infrastructure platform. Own security posture, compliance, and customer trust as the technical security leader for engineering and leadership teams.
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.
Designs and builds robust API integrations connecting the platform to third-party AI tools, creating custom nodes, plugins, and connectors. Requires hands-on experience in AI platforms, API debugging, and strong focus on developer experience.
Supports GTM leadership with hiring plans, quota setting, budgeting, and key metrics tracking like pipeline coverage and commissions. Provides financial recommendations for pricing and operations in a fast-growing AI startup. Requires 4-8 years experience in analytics and startups.
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.
Works directly with customers to optimize API usage, deeply understanding their products and use cases while acting as an API power user to drive impact and scale.
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.
Owns technical hiring for engineering roles, partnering closely with leadership to source, assess, and close top talent that others miss. Requires proven experience building elite engineering teams and deep understanding of scaling talent strategies.
Builds, operates, and scales infrastructure for web/AI products, focusing on reliability, cost-efficiency, and handling large language models. Requires expertise in distributed systems, cloud platforms, performance tuning, and scalable architectures.
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.