Top Natural Language Processing Jobs in Boston, MA

The Robotics Software Engineer will architect systems, implement navigation algorithms, develop software for UAS, and support prototype vehicle testing.

The Systems Engineer will provide leadership in designing, integrating, and testing complex aircraft mission systems. Responsibilities include managing requirements, conducting trade studies, and evaluating design alternatives for mission capabilities.

The Technical Recruiter will manage the full recruitment cycle, source candidates for various technical roles, and enhance MORSE's employer brand.

Lead architecture and engineering of cloud-based HPC platforms (AWS/GCP). Define technologies and standards, drive IaC (Terraform/CloudFormation), OS image and scheduler work, optimize performance/cost/security, implement monitoring/observability, and mentor engineers to deliver scalable, reliable HPC and ML/AI workloads.

Drive go-to-market strategy and adoption for Kensho AI products by bridging technical AI capabilities and commercial teams. Lead customer demos, technical deep-dives, co-development partnerships, market analysis, and sales enablement while feeding product and strategy teams with market insights to expand revenue and partnerships.

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.

The Partner Technical Enablement Manager at Superhuman will develop technical enablement assets, launch learning paths, and lead training for partners to enhance product adoption and success.

As a Staff Revenue Designer, you will lead the design of marketing materials and campaigns, collaborating with teams to create impactful visual experiences for enterprise audiences.

The Enterprise Account Executive will drive sales and expansion within the Enterprise segment, focusing on large accounts. Responsibilities include managing the full sales cycle, building executive relationships, navigating complex deal cycles, and collaborating with cross-functional teams to establish a foundation for future sales processes.

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 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.

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.

Design and implement secure, scalable backend services for speech inference and audio processing. Optimize networking, transcoding, latency, memory, and distributed compute orchestration. Measure and improve system performance, debug complex networking/scheduling/HPC issues, customize services for customers, and partner with Product to deliver features end-to-end.

Own and grow Smartling’s social presence across LinkedIn, Instagram, Facebook, X, YouTube and emerging platforms. Build channel-specific content calendars, run employee advocacy, adapt long-form assets into native social content, create and brief short-form media, track analytics and iterate, monitor brand mentions, and leverage AI tools to boost efficiency and outcomes.

Lead and scale the enterprise customer success function for Zocks, managing a team of Enterprise CSMs to drive adoption, value realization, renewals and expansion with large RIAs, broker-dealers, banks and financial firms. Build playbooks, metrics, and cross-functional partnerships while personally engaging executive stakeholders to ensure measurable customer outcomes.

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.