Top Natural Language Processing Jobs in Boston, MA

Build and scale production-quality AI/ML systems for scientific and clinical workflows. Responsibilities include developing generative AI, agentic, predictive, foundation model, RAG, and fine-tuned systems; engineering data and ETL platforms; deploying cloud infrastructure and CI/CD; creating evaluation harnesses; debugging prototypes; assessing build-versus-buy options; establishing safeguards and SOPs; and collaborating with biologists, immunologists, computational scientists, and clinicians.

Manage the full lifecycle of defense contracts, subcontracts, purchase orders, modifications, and agreements. Review and negotiate NDAs, teaming agreements, licenses, and contract terms; analyze FAR/DFARS requirements; monitor milestones, CDRLs, and deliveries; coordinate invoices and funding; track government-furnished property; maintain records; and support contract closeout while collaborating with government, prime contractor, technical, finance, and internal teams.

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.

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.

Partner with the SVP of Customer Success to improve executive effectiveness and organizational operating rigor. Responsibilities include calendar and meeting management, forecasting and business analytics, executive and board reporting, cross-functional initiative coordination, operating-rhythm management, action tracking, process improvement, and synthesizing data into insights, risks, decisions, and recommendations. The role combines executive support, business operations, project management, and analytical judgment.

Develops and commercializes partner-built solutions across the Superhuman Suite. Responsibilities include shaping joint value propositions, creating pitch and demo assets, enabling alliance managers and partners, packaging repeatable solutions, coordinating launches, supporting partner growth, and tracking post-launch performance. The role works across Alliance Programs, Partner Marketing, Technical Alliances, Product, and solution architecture, with approximately 25% international travel.

Own partner-network relationships after agreement signing, managing onboarding, contractual commitments, co-marketing, advisor adoption, and network penetration. Drive net-new bookings, expansions, trials, conversions, webinars, demos, and enablement activities. Track activation and pipeline metrics in Salesforce, coordinate with strategic partnerships, marketing, sales, account management, RevOps, and product teams, and forecast bookings across multiple financial-advisor networks.

Develop product launch narratives and messaging that connect with customers and prospects. Create demos, case studies, webinars, campaigns, web content, and customer stories. Partner cross-functionally with product, sales, and customer success to ensure consistent positioning. Conduct customer and prospect research, identify market trends, and use data-driven insights to strengthen product marketing strategy.

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.

Lead an established RevOps and Enablement team to sharpen analytics, harden systems and data architecture, and scale AI-first workflows across Sales, Marketing, and CX. Own revenue tech stack, forecasting, GTM reporting, process optimization, and enablement programs while partnering with executive leadership to drive measurable revenue outcomes.