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Lead end-to-end deployment of Reducto into customer environments, collaborating with enterprise teams to configure and operate infrastructure solutions.

Lead and build Reducto's ML infrastructure: own roadmap, implement and optimize training and inference stacks, improve multi-node/multi-GPU performance, GPU utilization, latency, throughput, reliability and observability, develop benchmarks, and enable fast experiment-to-production workflows while mentoring engineers.

The People Operations Generalist will manage the full employee lifecycle, design HR systems and policies, ensure compliance, manage payroll, and lead employee engagement initiatives.

The Machine Learning Engineer will train, fine-tune, and deploy ML models for parsing unstructured data, and build data pipelines for product integration.

As a Solutions Engineer, you'll provide technical expertise to customers, work on system architecture, and improve product usability, while collaborating closely with various teams.

The Founding Account Executive will manage the full sales cycle, from prospecting to closing, while refining the sales approach and providing market feedback to the founders.

Reducto is seeking a Business Operations Associate to help establish and scale its operations function. The role focuses on enhancing efficiency in processing unstructured enterprise data to support AI teams.

As a Technical Recruiter, you will oversee full-cycle recruiting for engineering, ML, and infrastructure roles, collaborating with leaders and ensuring a high-quality candidate experience.

As a Frontend Engineer, you'll develop Reducto Studio, focusing on building interactive document viewers, data extraction workflows, and responsive user interfaces using TypeScript and React.

As a Backend/AI Engineer, you'll integrate LLMs, optimize document processing pipelines, and improve API design for document understanding tasks.