Top Natural Language Processing Jobs in Boston, MA

As a Full-Stack Software Engineer II, you will develop AI-centric web applications using TypeScript, collaborating on product and technical decisions while managing project priorities and deliverables.

The GTM Product Enablement Manager will develop training strategies, create content, analyze effectiveness, and support sales and marketing initiatives to enhance product understanding and adoption.

As a Flight Test Engineer, you will plan and execute flight test activities, coordinate resources, and ensure equipment safety and operability, working collaboratively with interdisciplinary teams on UAS systems.

This role involves enabling AI-driven drug discovery projects, fostering collaboration between AI and bench scientists, and providing technical guidance to integrate AI tools in obesity research.

As a Pre-Sales Solutions Engineer, you will drive technical pre-sales engagements, architect custom solutions, and guide customers on API integration and deployment strategies, enhancing their experience with Voice AI technologies.

The Enterprise Account Executive will manage sales cycles for large accounts, focusing on new logos and expanding existing accounts while working with multiple stakeholders.

The Enterprise Account Executive will drive sales by managing the sales process, generating new business, engaging with prospects, and achieving revenue targets.

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.

Own and grow Hebbia's Middle East enterprise sales: prospect, run demos, negotiate and close large deals with sovereign wealth funds, asset managers, banks and PE/VC; build regional pipeline, represent the company at events, partner on technical evaluations, inform product and GTM strategy, and hire a regional team.

Lead technical discovery with federal customers to define requirements and design secure, compliant cloud-native architectures. Build POCs/MVPs, produce architecture and deployment documentation, integrate third-party tools, guide implementations, and align sales, engineering, and product teams to deliver AI-driven knowledge management solutions for government environments.