Guidepoint is a research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we enable our clients to turn answers into action. Backed by a network of nearly 1.75 million experts, and Guidepoint’s 1,600 employees worldwide we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint…
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
The Experts at Finding Expertise
Full company description
Guidepoint is a research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we enable our clients to turn answers into action.
Backed by a network of nearly 1.75 million experts, and Guidepoint’s 1,600 employees worldwide we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful.
For more information, visit www.guidepoint.com.
LinkedIn followers
177,834
People associated on LinkedIn
4,366
Reported office locations
675 Avenue of the Americas, 2nd Floor, New York, NY 10010, US
8+ YOECandidates need 8+ years of software engineering experience, including 3+ years building production AI or LLM products, and strong Python skills. They need hands-on experience with multi-agent systems, cloud deployment, retrieval and LLM evaluation, plus a relevant degree and a track record of scaling production systems.
7+ YOECandidates need 7 to 10 years as an agile product manager, including building SaaS web and mobile products. They also need hands-on experience with AI tools and LLMs, strong leadership and communication skills, and familiarity with OKRs and agile methods.
6+ YOECandidates need 6+ years of backend software engineering experience with a Bachelor's degree, or 4+ years with a Master's, including production LLM and Generative AI work. Strong Python, cloud container deployment and experience with LLM evaluation and MLOps are required.
6+ YOECandidates need 6+ years of software engineering, including 2+ years building LLM-powered products in production, plus strong TypeScript or Python skills. Real-time systems experience and cloud-native production experience are required; Azure and voice AI experience are assets.
6+ YOECandidates need a bachelor's degree with 6+ years, or a master's degree with 4+ years, of backend and Generative AI engineering experience. They must have strong Python, cloud and container skills, and hands-on experience building LLM applications.