
51 - 200 employees
Founded 2020
🤖 Artificial Intelligence
🔌 API
☁️ SaaS
💰 $25M Series A on 2020-07
Artificial Intelligence • API • SaaS
Surge AI is a company that provides high-quality training data and data-labeling solutions for machine learning teams. It offers an API-driven, SaaS platform that combines human-in-the-loop annotation, quality control, and tooling for collecting, validating, and managing datasets to accelerate model development and improve model performance.
🕒 July 28
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51 - 200 employees
Founded 2020
🤖 Artificial Intelligence
🔌 API
☁️ SaaS
💰 $25M Series A on 2020-07
Artificial Intelligence • API • SaaS
Surge AI is a company that provides high-quality training data and data-labeling solutions for machine learning teams. It offers an API-driven, SaaS platform that combines human-in-the-loop annotation, quality control, and tooling for collecting, validating, and managing datasets to accelerate model development and improve model performance.
• Oversee the end-to-end product operations cycle, ensuring timely and efficient delivery of features, improvements, and customer-facing solutions. • Collaborate with product and engineering teams to align operational processes with product goals, ensuring that customer needs are met with scalable solutions. • Establish, track, and optimize key performance metrics that ensure product and operational success, identifying areas for continuous improvement. • Manage internal and external communication around product updates, resolving any operational roadblocks that arise. • Use data-driven insights to refine operational strategies, ensuring seamless execution and support for product teams.
• Strong analytical skills with a focus on improving operational efficiencies and product delivery. • Ability to navigate ambiguity, manage multiple initiatives, and drive continuous improvement across product and operational teams. • Excellent communication skills, with the ability to collaborate across departments and translate complex processes into actionable steps. • Interest in AI/ML systems is a plus, but not required.
• Health insurance • 401(k) matching • Paid time off • Flexible working arrangements • Professional development opportunities
Apply Now🕒 July 28
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