Top Natural Language Processing Jobs in Boston, MA

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.

This role involves leading AI-based drug discovery initiatives and partnerships, managing collaborations with various stakeholders, and reporting progress to senior leadership.

Lead the development and deployment of software solutions for AI, ML, and data management within the US National Security Ecosystem, ensuring program execution and technical oversight.

The AI Engagement Manager will lead strategic relationships with institutional owners to harness AI, improve asset performance, and drive measurable ROI across real estate portfolios.

As a Senior Full-Stack Software Engineer, you will build AI-centric web applications in TypeScript, manage project priorities, and make technology decisions while collaborating with Product and Design teams.

The Sales Engineer will support Account Executives by aligning Superhuman's solutions with educational institutions’ needs, delivering demos, conducting POCs, and engaging with technical stakeholders.

Lead and build a Strategic Customer Success team, design high-touch success programs and playbooks, coach CSMs into consultative executive partners, define adoption and retention metrics, synthesize account insights into product feedback, partner cross-functionally, and experiment to create a scalable strategic CS motion for a multi-product AI productivity suite.

Own end-to-end renewal negotiations for strategic, high-value consumption-based accounts. Forecast usage-driven renewals, build pricing and packaging, defend value with data, identify expansion opportunities, and quarterback cross-functional deal strategy to prevent churn and capture growth.

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.

The Marketing Systems & AI Automation Manager will create automated marketing workflows, integrate systems, optimize data management, and enhance GTM strategies using advanced technologies and tools.