Top Natural Language Processing Jobs in Boston, MA

Leads reporting, analytics, and optimization across Pfizer’s promotional content delivery ecosystem. Builds and maintains dashboards and report catalogs using Power BI and Adobe platforms, monitors adoption and usage trends, interprets metrics, and delivers actionable recommendations. Manages complex cross-functional projects involving Biopharma Operations, marketing, agencies, and stakeholders. Supports improved content effectiveness, speed to market, service efficiency, and cost optimization while leveraging AI-enabled insights and operating independently in a matrixed environment.

Design, develop, prototype, integrate, and test electronic systems for innovative air vehicle and R&D platforms. Responsibilities include avionics, embedded systems, RF communications, power subsystems, analog and digital circuit design, PCB development, fabrication procedures, troubleshooting, and flight test support. The role requires cross-functional collaboration, hands-on system testing, and expertise in at least one area such as power systems, RF, or embedded control.

Build and evaluate machine learning models, agentic systems, LLM applications, and pipeline components under senior-engineer guidance. Interns will gain experience across the ML lifecycle, including problem framing, model selection, development, evaluation, and deployment support. The role involves collaborating with ML Engineers, Product Managers, Designers, and Full-Stack Engineers on scalable AI solutions.

Lead AML/BSA, KYC/KYB, fraud, transaction monitoring, and sanctions compliance programs. Manage banking and financial institution relationships, oversee investigations and UAR/SAR processes, translate regulations into operational controls, coordinate audits and examinations, track regulatory developments, and deliver compliance training. Partner cross-functionally with Legal, Product, Engineering, and Operations to support responsible product growth and regulatory readiness.

Coordinate recruiting operations across technical and business hiring, including interview scheduling, candidate communications, travel logistics, feedback collection, and ATS data hygiene. The role aims to improve scheduling speed and accuracy through AI-native workflows, automation, templates, and process improvements while delivering a clear, responsive candidate experience.

Own and grow Deepgram’s AWS alliance, driving co-sell revenue, joint pipeline, AWS Marketplace transactions, integrations, campaigns, and enterprise relationships. Build healthcare and financial services partnership motions, enable AWS and Deepgram sellers, influence product and engineering roadmaps, and manage additional partnerships. The role requires hands-on AWS alliance expertise, quota ownership, technical fluency, cross-functional leadership, and an AI-first working style.

Leads SMB and commercial sales strategy, revenue performance, team development, pipeline forecasting, enablement, hiring, and complex enterprise deals. Partners with Product, Marketing, Customer Success, and executive leadership to scale go-to-market execution, improve sales consistency, and drive customer expansion across a multi-product SaaS environment.

Own end-to-end localization operations for enterprise clients, serving as the primary operational contact and trusted advisor. Coordinate stakeholders and cross-functional teams, manage localization workflows and configurations across TMS and project tools, resolve client and internal issues, and improve processes through documentation, automation, and AI-enabled solutions. The role requires localization or translation project management experience, client communication skills, familiarity with localization formats and CAT/TMS tools, and strong organizational abilities.

Own outbound sourcing strategy across open roles, building passive-candidate pipelines from scratch through Boolean and X-ray search, LinkedIn Recruiter, and personalized outreach. Conduct candidate conversations, evaluate initial fit, and partner with hiring managers and leadership on search strategy. Manage searches end-to-end, adapt sourcing approaches, and represent Zocks to prospective candidates.

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.

Own the end-to-end new business sales process for Fortune 1000 corporate accounts. Responsibilities include researching and prospecting opportunities, building relationships, conducting product demonstrations, managing trials, closing deals, forecasting accurately, developing pipeline, partnering with SDRs and product specialists, supporting customer health and upsell opportunities, and sharing client feedback with sales and product teams.

Owns the full enterprise new-business sales cycle, including researching prospects, building relationships, conducting product demonstrations, managing trials, forecasting, and closing deals. Partners with SDRs, Product Specialists, Account Management, and leadership to develop pipeline, achieve quota, support customer health, and identify upsell and cross-sell opportunities. Targets Fortune 1000 organizations across corporate strategy, competitive intelligence, business development, investor relations, and M&A.

Drive strategic growth across major financial services accounts by upselling existing relationships, prospecting new teams, conducting value-based product demonstrations, managing trials, and closing enterprise sales. Partner with global sales, customer success, sales development, and product teams to build pipeline, forecast accurately, execute account growth plans, and achieve shared revenue targets. Regularly engage with clients and provide market and product feedback internally.