Artificial Intelligence Jobs in Cambridge, MA

Leads complex commercial sales and negotiation strategies for strategic customer accounts. Develops customer-centric offers, pricing scenarios, contract structures, and close plans to drive revenue, cloud adoption, renewals, and growth. Advises internal and external stakeholders, coordinates account and partner teams, assesses deal, legal, profitability, and compliance risks, and ensures adherence to commercial policies and regulatory requirements. Coaches sales teams and uses AI-enabled tools and sales metrics to improve pipeline conversion and deal outcomes.

Leads and develops a team of 4–6 Account Executives selling enterprise AI-powered safety and operations solutions. Responsibilities include coaching, pipeline management, forecasting, account planning, deal negotiation, customer health monitoring, cross-functional growth initiatives, and supporting strategic customer conversations across manufacturing, logistics, and warehousing markets.

Own strategy and execution for Klaviyo's Analytics AI product area, principally the Analytics Agent. Define quality measurement, AI-generated analytics UX, and query infrastructure transitions. Partner cross-functionally to ship data-grounded LLM experiences, ensure metric accuracy and platform health, write rigorous product specs, and support multi-brand Enterprise analytics needs.

Leads product vision, roadmap, backlog management, prioritization, and Agile delivery for AI-enabled workflow transformation in Global Corporate Trust. Identifies process improvement opportunities, translates stakeholder needs into scalable solutions, coordinates testing and delivery, evaluates emerging AI capabilities, and drives change management, readiness, and adoption. Partners with business and technology teams to deliver governed AI solutions that improve productivity, decision-making, operational efficiency, and stakeholder experiences.

Manage and grow sales across named state, local, and higher-education accounts in New England. Exceed sales targets through consultative selling, develop new and existing customer relationships, present solutions to decision-makers, and build account plans. Partner with systems engineers, professional services, executives, technology partners, and channel organizations to position networking and cloud solutions. Navigate government procurement, generate demand through events, and maintain knowledge of competitive technologies.

Lead the strategy and execution of MaintainX reporting, analytics, and ROI products. Expand capabilities from frontline managers to enterprise stakeholders, including operations, finance, and EHS leaders. Partner with data, infrastructure, design, engineering, sales, and post-sales teams to define requirements, support enterprise deals, prioritize roadmap investments, and measure customer and business outcomes through KPIs.

Supports enterprise risk management by maintaining operational risk frameworks, facilitating Risk and Control Self-Assessments, triaging incidents, developing risk metrics, and monitoring mitigation plans. The role partners with enterprise and technology teams, provides risk management training, uses AI to enhance analytics, and ensures alignment with organizational objectives and regulatory requirements.

The Applied Researcher II will work on developing AI foundation models, partner with cross-functional teams, and engage in impactful research to enhance customer experiences using advanced AI techniques.

Design, develop, deploy, and support foundational AI systems, including model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale production AI systems for scalability, latency, throughput, cost, and hardware utilization. Partner with engineers, scientists, technical program managers, and product managers while contributing to technical vision, roadmap development, and responsible AI practices. Lead and mentor engineering teams and apply emerging AI research to production systems.

Senior leader responsible for analytical testing strategy across cell and gene therapy programs, including manual and automated methods, assay qualification, PAT, laboratory automation, informatics, data integrity, and stability testing. Leads cross-functional partnerships, regulatory-supporting documentation, operational best practices, reagent and assay control management, and organizational growth. Oversees budgets, headcount, recruitment, mentoring, and development of analytical testing, operations, and automation teams.

Own CloudZero’s B2B content strategy and editorial quality, aligning content with buyer stages, demand generation, campaigns, and product differentiation. Develop and test hypotheses about engagement, optimize publishing cadence and distribution, repurpose assets, and edit writers and subject-matter experts. Partner with product marketing, growth, demand generation, internal experts, and customers to create authoritative content for finance and technical audiences. Use AI tools to scale output while maintaining high editorial standards.

Senior Solutions Engineer responsible for supporting enterprise sales of identity governance and security solutions. Duties include technical discovery, presentations, RFP responses, proof-of-concept delivery, customer consultation, opportunity management, product feedback, and collaboration with sales, product, marketing, and bid teams. The role also mentors Solutions Engineers and requires expertise in identity security, cloud platforms, DevOps, AI technologies, and technical communication. Boston Metro preferred; remote work with up to 40% domestic travel.

Serve as a Microsoft Dynamics 365 functional lead delivering CRM/ERP assessments, design, configuration, fit-gap analysis, data migration, testing, training, and client-facing implementation support. Lead project tasks, create functional requirements and process flows, support proposals and business development, and coach junior staff to deliver solutions leveraging Microsoft platforms.

Lead design and implementation of enterprise AI architectures and integration solutions, manage multiple projects and executive client relationships, drive strategic technology planning and business development, mentor teams, conduct market research and feasibility studies, and promote technological innovation across the firm.

Design, code, test, and maintain applications using Kotlin, Rust, and SwiftUI. Implement ATDD and CI/CD, build API integrations and microservices, manage application lifecycle and project planning, conduct code reviews and debugging, collaborate with clients, and apply analytical thinking for business process improvements.

Lead and coach teams to design, develop, and deliver production-grade AI and data solutions for clients. Manage client accounts, ensure quality and timelines, analyze complex datasets, implement best practices, and drive continuous improvement while fostering client relationships and technical excellence.

Lead large Microsoft Dynamics 365 (CRM/CE) implementations as a Senior Manager: engage senior clients, design functional solutions, oversee delivery lifecycle, coach teams, refine processes, and ensure operational excellence and adherence to firm standards.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Lead AI-native solution architecture and end-to-end technology delivery for client engagements. Set strategy, build product roadmaps, guide engineering teams on LLM/RAG implementations, mentor leaders, drive market opportunities, and ensure quality, integration, and compliance with firm standards.

Lead design and implementation of AI and blockchain-enabled integration and platform architectures. Analyze requirements, develop technical designs, direct large projects, validate outcomes with clients, coach diverse teams, drive cloud strategy (Azure), perform feasibility studies and business process modeling to optimize enterprise technology infrastructure.

Lead and manage a software engineering team to design, build, test, and deploy AI-enabled applications (LLM integrations, RAG, APIs). Own project planning, budgeting, CI/CD, code quality, observability, microservices, and cross-functional collaboration while coaching and developing team members.

Lead AI engineering teams to design, build, and deploy end-to-end AI solutions. Manage client relationships, plan and deliver projects, mentor staff, drive adoption of cloud-native microservices, CI/CD, vector databases and orchestration tools, and ensure high standards of quality, innovation, and compliance.

Lead and manage data science teams to build ML and deep learning models, maintain data pipelines and lakes, ensure data quality, deliver actionable insights, and manage project timelines and client expectations.

Lead design, development, deployment, and support of large-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, observability). Optimize LLM performance and scalability, partner with cross-functional teams, and contribute technical vision and roadmap for foundational AI systems.

Prospect, develop, and close enterprise sales opportunities for Snowflake’s data platform. Responsibilities include conducting discovery calls, demos, and presentations; advising customers on IT roadmaps; expanding regional accounts; achieving quarterly and annual quotas; developing territory sales strategies; and collaborating with sales engineering, professional services, marketing, legal, and finance teams.