Top Natural Language Processing Jobs in Boston, MA

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.

Lead technical vision and execution for AI/ML, decision systems, and mission planning programs. Manage multidisciplinary teams, ensure schedule and budget adherence, provide technical oversight, cultivate external partnerships, and pursue business growth while guiding program delivery and technical strategy.

Lead technical vision and execution for Battle Management C2 systems. Manage multidisciplinary Agile teams to design and deliver mission-critical web and mobile applications that fuse sensor data, provide real-time situational awareness, and support decision-making. Serve as technical liaison to government customers, drive business development and proposal capture, and ensure program schedule, budget, and delivery.

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.

The AI Engagement Manager will lead strategic relationships with clients to implement AI solutions, driving business transformation and optimizing operations in the housing sector.

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.

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.

Lead Deepgram's demand-generation function end-to-end: set strategy, build an AI-native repeatable demand system, run integrated performance campaigns (paid, web, events, field), partner with Sales and RevOps to convert leads to revenue, hire and grow a high-performing team, and establish attribution and reporting that ties spend to pipeline and revenue.

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 Business Development Representative engages with potential customers, qualifying leads and supporting sales efforts while managing prospect information in Salesforce.

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.