Top Natural Language Processing Jobs in Boston, MA

Own the full enterprise sales lifecycle for EliseAI’s housing CRM, from technical discovery and solution design through validation, proof of concept, and commercial close. Drive new logo acquisition and expansion, manage complex buying committees, serve as the primary technical authority, and translate customer requirements into scalable CRM implementations. Partner with Product, Engineering, and Implementation while supporting roadmap and go-to-market strategy. Regular travel and in-office work are required.

Lead Data Scientist will define goals and metrics for algorithm Test & Evaluation, research T&E methodology, lead vendor coordination, present analyses and results to stakeholders, and transition algorithms into software and real-time embedded systems.

Designs and scales manufacturing processes from prototype to production, develops work instructions and QA procedures, implements PFMEA and process improvements, selects/vendors equipment, coordinates with technicians and contract manufacturers, and applies DfM/DfA and GD&T to ensure high-yield production.

Design, develop, and maintain full-stack web applications hosted in the cloud. Implement front-end UIs, build backend APIs interacting with cloud services, containerize apps, collaborate with infrastructure engineers, follow Agile and DevSecOps practices, and contribute to extensible, object-oriented codebases.

Lead Kensho's AI partnerships agenda and manage a portfolio of strategic financial clients. Drive partner qualification, operational launch, cross-functional coordination, adoption, expansion, and post-sale value realization for APIs and enterprise products.

Lead delivery of scalable, secure, production-grade AI and application platforms. Define architecture, CI/CD, observability, and quality standards; manage ~30 FTEs and contractors; drive cross-functional integration with data, product, and platform teams; ensure reliable model deployment, monitoring, and continuous improvement while communicating trade-offs to senior leadership.

Research Staff will develop foundational voice AI technologies, including low-bitrate neural audio codecs, steerable speech generation, disentangled audio representations, latent recombination, synthetic audio data generation, and multimodal speech-to-speech models. The role also involves designing scalable architectures, training methods, and inference algorithms optimized for hardware, billion-hour datasets, and real-time deployment. Candidates need strong mathematical foundations, foundation-model expertise, large-scale data pipeline experience, rigorous experimentation skills, deployment optimization knowledge, and publications or open-source contributions in speech or language AI.

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.

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.

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.

Serve as the strategic Customer Success Manager for a top enterprise account, driving adoption of Anthropic products (API, Claude Code, Cowork). Build executive relationships, create account success plans, scale consumption, identify new use cases, lead change management and enablement, and surface customer insights to inform product and research priorities.