Top Natural Language Processing Jobs in Boston, MA

The Cloud Engineer will develop and maintain cloud infrastructure, oversee deployment of cloud services, and ensure compliance with security guidelines. Candidates should possess strong communication skills and be eager to learn new technologies. Experience with AWS, Azure, GCP, Terraform, and Agile development is required.

Lead Applied AI/ML strategy and development for Internal Medicine Research, translating foundation models, agentic and multimodal AI into reusable, validated capabilities. Define governance, evaluation standards, prioritize high-value use cases, manage external partnerships, and drive adoption across IMRU while ensuring scientific rigor, reproducibility, and human oversight.

Generate new sales pipeline by prospecting property management leads via cold/warm calls, email, and social outbound campaigns. Qualify leads, book meetings for Account Executives, manage pipeline toward targets, and use tools like Salesforce, Outreach.io, Sales Navigator, LinkedIn, and ZoomInfo. Work in-office and collaborate across teams to iterate on outreach and sales processes.

As an AI Product Specialist, you'll drive market expansion and customer engagement by defining strategies for AI product growth, conducting market analyses, and supporting sales teams. You'll leverage AI expertise and guide product development and competitive positioning while collaborating across teams to enhance Kensho's AI solutions.

As a Billing & Analytics Software Engineer, you'll design and maintain the billing pipeline, integrate billing systems, and develop customer-facing analytics dashboards to support revenue recognition and operational observability.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Drive new customer acquisition and revenue growth as part of the Outbound Sales Development team. Collaborate with cross-functional teams to build a strong sales pipeline and understand customer needs in the ASR space.

Lead demand generation programs for Superhuman Mail, collaborating with Sales and other teams to drive marketing-sourced pipeline growth through integrated campaigns, optimization, and performance analysis.

Own and build Hebbia's APAC sales presence from Singapore: manage full enterprise sales cycles, develop relationships with institutional investors, shape regional GTM strategy, represent the product at events, and hire a regional team.

Partner with enterprise financial firms to design and implement scalable practice management programs. Lead executive engagement, success roadmapping, content and curriculum development, and live facilitation. Drive adoption through program design, data-driven recommendations, and feedback to Product. Travel regularly to client sites and industry events to deliver sessions and represent Zocks as a subject-matter expert.

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.

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