Top Natural Language Processing Jobs in Boston, MA

Own the full sales cycle for EliseAI’s emerging AI products, from prospecting and discovery through demonstrations, negotiations, closing, and expansion. Build relationships with senior stakeholders, secure strategic design partners, navigate complex multi-party evaluations, and help shape pricing, packaging, positioning, and go-to-market strategy. Partner with Product, Engineering, Strategy, and Deployment teams to translate customer feedback into product direction, develop repeatable sales playbooks, and attend conferences and customer meetings.

The Cloud Engineer will develop and maintain cloud infrastructure, oversee deployment of cloud services, and ensure compliance with security guidelines. Candidates should possess strong communication skills and be eager to learn new technologies. Experience with AWS, Azure, GCP, Terraform, and Agile development is required.

Leads Pfizer’s global customs governance and compliance framework, including Belgian Authorized Economic Operator status, internal controls, customs valuation reporting, audits, continuous improvement, and stakeholder partnerships. Provides technical expertise in customs law and operations while implementing standardized, automated workflows aligned with GDP, GMP, and local regulations. Oversees talent development, performance standards, budgeting, and strategic customs initiatives across global operations.

As a Backend Software Engineer II, you will design and develop APIs, collaborate with teams, and enhance the software lifecycle. You will work with stakeholders to shape system architecture and improve overall software performance.

Own the full sales cycle for commercial enterprise accounts with 250–4,999 employees, driving new-logo acquisition, expansion, upsells, and multi-product revenue across Go, Mail, and Coda. Build executive relationships, navigate complex procurement and legal processes, manage pipeline and forecasting in Salesforce, and collaborate with Sales Engineering, Product, Marketing, Customer Success, Legal, and Finance. Help establish the Commercial sales playbook for future enterprise account executives.

Drive Superhuman Mail’s mid-market expansion through value-based B2B SaaS sales. Responsibilities include managing complex, multi-stakeholder deal cycles, negotiating contracts, building executive relationships, developing outbound strategies and account plans, forecasting, maintaining pipeline rigor, and collaborating with Sales Development, Customer Success, Sales Engineering, and Product teams.

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.

Designs and maintains automated test frameworks and exploratory suites for products, APIs, SDKs, AI models, and data platforms. Develops functional, integration, end-to-end, regression, API, browser, load, and reliability tests; creates datasets, evaluation pipelines, dashboards, and CI/CD release gates. Partners across Engineering, Research, Product, Data, and Infrastructure to validate model behavior, data quality, performance, and production readiness. Documents reproducible defects, supports triage, and communicates risks.

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.

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.

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.