Top Natural Language Processing Jobs in Boston, MA

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.

Provide Tier 1/2 support across MacOS, Windows, and Linux; onboard employees; troubleshoot desktops, servers, and networks; assist with cybersecurity architecture, vulnerability scanning, incident response, audits, and compliance documentation.

The GTM Product Enablement Manager will develop training strategies, create content, analyze effectiveness, and support sales and marketing initiatives to enhance product understanding and adoption.

Design, build, and productionize agentic AI systems including LLM orchestration, retrieval, and evaluation. Work across the ML lifecycle from experimentation to deployment and monitoring, leverage proprietary structured and unstructured financial data, and collaborate with data, product, design, and MLOps teams to deliver scalable, robust agentic solutions.

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.

Lead enterprise practice management engagements for large RIAs, broker-dealers, banks, and insurers. Design rollout strategies, build scalable enablement programs and content, run discovery workshops, analyze data to recommend operational improvements, and deliver in-person/virtual facilitation and industry presentations. Act as enterprise client voice to product and travel frequently for client meetings and conferences.

The Engineering Manager will lead a team developing web applications and AI tools, optimizing product-led growth strategies and enhancing the developer experience.

Lead and coach a team of 5-7 Enterprise Account Executives to drive Superhuman Go enterprise sales, co-sell Mail and Docs, manage pipeline and forecasting, partner cross-functionally, support key negotiations, hire and ramp reps, and inform product and GTM strategy to expand platform footprint at large accounts.

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 a web experience and operations team to treat the site as a product: set roadmap, manage AEM content, run A/B testing and personalization (Adobe Target), analyze user behavior (Adobe Customer Journey Analytics), optimize SEO/localization, oversee external agencies, and manage intake via Jira/Asana to drive conversion and pipeline.