Top Natural Language Processing Jobs in Boston, MA

Own the full enterprise sales cycle from prospecting through close, targeting complex organizations and senior stakeholders such as CISOs, CIOs, and General Counsels. Develop strategic account plans, generate outbound pipeline, demonstrate forensic watermarking technology, exceed revenue quotas, and provide market feedback to product teams while helping shape the company's sales playbook.

Lead strategic sourcing and procurement for professional services categories, including consulting, marketing, legal, communications, and other external services. Manage end-to-end procurement, RFPs, vendor negotiations, category strategies, contracts, supplier performance, compliance, savings initiatives, and purchase-to-pay processes. Collaborate with FP&A, Accounting, Legal, and business stakeholders while maintaining documentation, controls, and performance reporting.

Provides transactional legal support across the Americas by reviewing quotes, drafting and negotiating SaaS customer agreements, and handling MSAs, DPAs, amendments, security, and AI addenda. Partners with Sales, RevOps, Finance, procurement, vendors, and marketing; applies contracting playbooks; manages escalations; and improves legal workflows. Requires U.S. bar admission, transactional experience, SaaS contract familiarity, privacy and information-security knowledge, and hybrid availability in Boston.

Evaluate AI model outputs, conduct audit-based reviews, identify patterns and failure modes, apply and improve evaluation guidelines, and document actionable findings. The role requires native-level Marathi, strong English, structured writing, GenAI safety knowledge, critical thinking, and comfort making judgment calls in ambiguous situations. Associates collaborate with leads and stakeholders, participate in calibrations, and help refine quality standards. This is a full-time, one-year, 100% onsite contract role in specified U.S. cities.

Evaluates and integrates financial datasets and content for an AI-powered market intelligence platform. Leads vendor due diligence, data trials, proofs of concept, quality and coverage assessments, business cases, licensing strategies, competitive research, and content roadmap development. Partners with engineers, content leaders, partnership managers, and vendors to identify high-impact investment research data and AI workflow opportunities.

Lead technical discovery with federal customers to define requirements and design secure, compliant cloud-native architectures. Build POCs/MVPs, produce architecture and deployment documentation, integrate third-party tools, guide implementations, and align sales, engineering, and product teams to deliver AI-driven knowledge management solutions for government environments.

Perform high-volume digital content curation and metadata validation for written and audio content. Follow SOPs, checklists, and client guidelines; correct straightforward issues, document defects in internal tools, escalate complex problems, manage assigned queues to SLA targets, and maintain accuracy and confidentiality while incorporating feedback through training and calibration.

Own strategy and roadmap for Crunchbase's customer-facing AI data layer. Identify and validate model-derived data products, lead cross-functional development, set quality standards, drive adoption and monetization, and monitor performance and product economics.

The Sr. DevOps Engineer will manage cloud infrastructure, ensuring efficient deployment and maintenance with extensive use of AWS and Cassandra.

Own product areas from customer discovery through launch and measurable outcomes. Partner closely with legal professionals and enterprise stakeholders to understand workflows, define requirements, prioritize roadmaps, and validate prototypes. Collaborate with Engineering, ML, Design, Sales, and Customer Success to build scalable AI-powered legal products, incorporating security, permissions, integrations, governance, and enterprise rollout needs. Use customer evidence and adoption data to distinguish platform opportunities from one-off requests and shape product strategy.