Top Natural Language Processing Jobs in Boston, MA

Own AI partnership development from qualification through launch while managing strategic customer accounts. Build partner relationships, coordinate cross-functional sales, product, engineering, legal, and marketing efforts, and drive commercial outcomes. Lead customer adoption, renewals, expansion, trial conversion, and time-to-value for API, enterprise, and developer products. Operate autonomously in ambiguous environments, create new playbooks, resolve engagement issues, and manage senior stakeholder relationships globally.

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.

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.

Own and maintain lifecycle marketing systems: administer Hightouch reverse ETL, monitor syncs and pipeline health, triage martech issues, partner with engineering and marketing on implementations, document configurations, manage access and governance, support audience segmentation and QA, and identify automation opportunities while building solutions with AI.

Own the voice agent go-to-market: define category narrative, drive developer adoption to enterprise deployment, lead product launches, craft positioning and battlecards, enable sales with collateral and proof points, collaborate on market and competitive intelligence, produce developer-facing content, and build repeatable AI-assisted PMM workflows.

Lead solutions marketing for voice AI use cases and verticals: craft narratives, decks, demos, battlecards, proof points, and web copy; enable sales and demand gen; measure pipeline impact and build AI-powered content production systems.

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.

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.

Lead positioning, messaging, and GTM for Recorded Future AI products. Own launches, packaging, pricing narratives, and sales enablement. Engage customers for feedback, create case studies and value stories, analyze competitors and market trends, and align product, sales, and marketing to drive adoption across enterprise buyers.