Top Natural Language Processing Jobs in Boston, MA

The Electrical Engineer will design and develop electronic systems, collaborate on integration tasks, and troubleshoot complex systems for air vehicle systems.

Design and develop scalable software applications in Python, collaborate with teams, and ensure code quality for critical defense projects.

As a Frontend Software Engineer, design, develop, and deploy web applications, collaborate with UX engineers, and implement user-friendly interfaces.

The Director Solution Engineering Lead will oversee engineering resources, drive AI solution innovations, and ensure alignment with business objectives and enterprise standards.

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.

Own the Coda Docs sales motion within an enterprise book: build pipeline, partner with ATU AEs, Sales Engineers and CSMs, run consultative discovery with VP/C-suite stakeholders, demo tailored Coda solutions, navigate procurement/legal, maintain Salesforce pipeline and forecasts, and contribute GTM playbook improvements to drive land and expansion revenue.

Lead and develop a team of eight Account Executives for the Commercial (Mid-Market) segment. Drive quota attainment, coaching, forecasting, pipeline accuracy in Salesforce, hiring and onboarding, cross-functional GTM execution, and streamline sales processes while occasionally acting as a player-coach in customer negotiations.

The Strategic Partner Manager at Deepgram will build and scale technology partnerships, drive revenue motions, and operate AI-natively to enhance partner relations and ecosystem integration.

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.