Top Natural Language Processing Jobs in Boston, MA

As a Senior Full-Stack Software Engineer, you will build AI-centric web applications in TypeScript, manage project priorities, and make technology decisions while collaborating with Product and Design teams.

Develop autonomy software for unmanned systems, including algorithm design, software testing in simulations, and collaborative R&D efforts with a multidisciplinary team.

Lead Pfizer's Rare Disease Health IT strategy and customer engagement with leading health systems in the Southeast. Advise on EHR-enabled tools (CDS, order sets, patient portals), support account teams, influence Health IT strategy and governance, attend HIT conferences, and travel up to 35% to advance population health and care management initiatives.

Responsible for designing and implementing training programs for Sales and Customer Success teams, improving performance through metrics, and collaborating with departments for training needs.

Lead and build Deepgram's AI enablement function: prototype and ship reusable agents, MCP servers, paved-road workflows, prompt and retrieval patterns, and an enablement hub. Drive company-wide AI adoption with measurable productivity metrics, embed safe-use guardrails, partner across Platform, Security, Data, and People Ops, and grow a central team and distributed champions network.

Lead end-to-end delivery of ML infrastructure and AI tooling programs, defining architecture and rollout strategies for training, serving, and monitoring. Coordinate research, engineering, product, and data teams to optimize inference cost/latency, build internal tools for experiment tracking and model versioning, and resolve bottlenecks to enable faster, scalable ML deployments.

Design and implement scalable, secure inference services for speech processing. Optimize networking, audio transcoding, latency, memory, and distributed compute orchestration. Debug complex system issues, customize backend services for customers, and partner with Product to deliver end-to-end features.

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.

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 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.

Own and build Hebbia's APAC sales presence from Singapore: manage full enterprise sales cycles, develop relationships with institutional investors, shape regional GTM strategy, represent the product at events, and hire a regional team.

The Enterprise Account Executive will drive sales by managing the sales process, generating new business, engaging with prospects, and achieving revenue targets.

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.

Manage and develop a team of ~10 Customer Success Managers to drive product demos, adoption campaigns, and measurable client outcomes. Set strategy, prioritize account coverage with sales, build scalable playbooks and demo flows using product usage data and GenAI insights, and collaborate with Enablement, Marketing, and Product to align messaging and roll out initiatives.

Lead and scale a team of account managers for large financial services clients to drive renewals, reduce churn, grow revenue, increase product adoption, forecast retention and expansion, hire and develop talent, and partner with Sales, Product, and Marketing to align customer-facing initiatives.

As a Principal Product Manager, you will drive innovation in AI technology, reshape expert acquisition strategies, and collaborate with cross-functional teams to enhance product offerings.