Top AI Jobs in Boston, MA

Leads pre-sales professional services engagements, including scoping, proposals, quotes, statements of work, business cases, forecasting, and bookings. Partners with account executives, sales engineers, delivery teams, support, and resilience stakeholders to position services, conduct customer workshops, align scope with post-sale outcomes, and support larger deal closures. Requires expertise in change management, transformation, data protection, cloud, cyber resilience, and security. Travel is required up to 10%.

Own the full lifecycle of customer enablement content, including auditing, taxonomy, governance, instructional design, Help Center maintenance, release enablement, and performance measurement. Create reusable guides, walkthroughs, videos, and in-workflow learning materials grounded in adult learning principles. Partner cross-functionally with Product, Product Marketing, Operations, and Customer Success while using AI and content platforms to improve quality, consistency, discoverability, and efficiency.

Analyzes the exposure management competitive landscape, synthesizes technical and market intelligence, conducts win/loss analysis, supports competitive deals, develops field enablement materials, and recommends product and go-to-market strategies. Partners with Product, Sales, Marketing, Strategy, Investor Relations, and senior leadership to translate complex cybersecurity concepts into actionable guidance and executive insights.

Lead Circle’s Global Risk Management AI transformation by redesigning processes around intelligent agents, building reusable AI capabilities, applying responsible AI controls, and driving initiatives from vision through delivery and adoption. Partner with risk, compliance, engineering, and enterprise AI teams; manage roadmaps, dependencies, reporting, executive updates, and measurable outcomes while ensuring AI solutions remain safe, explainable, auditable, and human-supervised.

Lead design and implementation of Microsoft Dynamics 365 solutions, supervise and mentor teams, manage project delivery, translate complex requirements into technical designs, handle data migrations and integrations, and build strong client relationships while improving service delivery.

Lead influencer marketing strategy and execution for iGaming and Lottery businesses. Manage creator campaigns across planning, activation, measurement, and analysis; oversee budgets, optimize performance, identify emerging creators and trends, and develop full-funnel programs supporting awareness, engagement, consideration, and acquisition. Collaborate with Marketing, Creative, Analytics, Legal, Compliance, and agencies while improving campaign workflows through automation and emerging technologies.

Lead creative strategy for paid social campaigns by turning audience insights, performance data, and cultural trends into high-performing creative. Build briefs, testing frameworks, and a centralized learnings library; partner cross-functionally and with agencies; run strategy sessions; and adopt emerging technologies, including AI, to improve ideation and optimization.

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.

Leads administration, compliance, analysis, benchmarking, and continuous improvement for company-wide compensation, benefits, leave, and accommodation programs. Partners with employees, managers, executives, brokers, advisors, and global HR teams to maintain competitive and legally compliant programs. Coaches the team, oversees performance, develops compensation leveling recommendations, supports audits, and uses data and emerging technologies to improve operational efficiency and insights.

Support procurement intake, supplier onboarding, contract and purchasing workflows, and procurement technology administration. Produce spend and supplier performance analysis, maintain procurement data and dashboards, monitor service levels and compliance, and drive automation and continuous-improvement initiatives to streamline procurement operations.

Develop, test, and integrate AI software for aerospace and industrial applications. Interns will use Python, JavaScript, and C++ to build AI solutions, evaluate data and algorithms, collaborate with machine learning and data engineers, monitor AI trends and regulations, and present progress to leadership and stakeholders.

Lead architecture and technical execution for Toast’s Payroll and Team Management products. Own authentication, authorization, and organizational hierarchy across a multi-tenant SaaS platform. Drive high-scale, full-stack initiatives, modern agentic development practices, integrations, technical strategy, quality standards, deployment practices, and cross-functional collaboration. Mentor engineers across teams and leverage AI tools and LLM integration to improve software development velocity and quality.

Leads Liberty Mutual’s People, Purpose and Brand technology strategy, modernization, investment portfolio, and 125-person organization. Oversees HCM platforms, employee experience, data, AI, architecture, security, integrations, vendors, and resilient operations. Partners with executives to prioritize investments, drive multi-year transformation, improve outcomes, and modernize engineering practices. Builds high-performing, inclusive teams and manages financial, operational, talent, vendor, and change leadership responsibilities across a complex regulated environment.

Serve as a global SME for Industrial Metaverse technologies (PLCs, IoT, cloud/edge, digital twins, AI, EMC/RED, cybersecurity). Lead standards work, develop test programs, perform and supervise complex testing, train staff, represent UL externally, and support clients and continuous improvement across regional or global labs.

Manage high-volume pre- and post-sales marketing deliverables, translating AI, data, identity, and platform capabilities into client narratives, proposals, presentations, and enablement materials. Partner cross-functionally on product marketing, positioning, sales training, field marketing, events, and thought leadership. Develop scalable collateral libraries and explore AI-powered tools and workflows to improve marketing and sales efficiency.

Own the vision, strategy, roadmap, and end-to-end execution for a major AI-driven product area. Collaborate with Design, Engineering, Sales, Customer Success, and Marketing to ship measurable customer and business outcomes. Lead discovery, prototype and evaluate AI-enabled solutions, drive go-to-market and adoption, mentor product managers, and help improve product development practices across Crexi.

Own the competitive intelligence program for fraud prevention and AML compliance. Responsibilities include developing CI strategy, conducting primary and secondary research, maintaining competitive databases, creating battlecards and win/loss analyses, supporting sales calls, informing marketing and product positioning, evaluating competitor architectures, managing CI knowledge, and optimizing intelligence workflows with AI capabilities.

Develop product and commercial strategies for AI solutions, including innovation funnel management, business case development, competitive analysis, market intelligence, product positioning, and go-to-market execution. Assess market opportunities and revenue potential, guide investment decisions, facilitate product development and commercialization plans, analyze data, and collaborate with leadership, clients, and teams to support product innovation.

Build and lead Rubrik’s global professional services resource management and capacity planning function. Standardize workflows across NAM, EMEA, and APAC; improve data integrity, reporting, automation, and PSA system adoption; forecast capacity and demand; manage subcontractor partnerships; and provide executives with utilization and talent distribution insights. Partner with delivery, finance, HR, and regional leaders to drive consistent global execution and operational efficiency.

Own the strategy, roadmap, packaging, and go-to-market evolution of Pluralsight’s AI, Cloud, and Security learning solutions. Design blended learning programs, define expert perspectives, identify content and lab components, monitor market needs, and use customer and learner data to improve outcomes. Partner with Product, Sales, Marketing, Curriculum, Engineering, and Services teams, support strategic enterprise deals, manage solution benchmarks, and drive adoption, renewals, and revenue growth.

Lead AI Engineer responsible for designing, developing, deploying, and supporting scalable AI systems. The role focuses on foundation model training, LLM inference, similarity search, guardrails, model evaluation, governance, observability, and optimization. Responsibilities include improving AI system scalability, cost, latency, throughput, and hardware utilization; applying emerging research in production; and contributing to the long-term technical roadmap for foundational AI platforms.

Design, develop, deploy, and support scalable AI platform components, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Optimize production AI systems for cost, latency, throughput, and scalability. Contribute to foundational AI strategy and roadmap while collaborating with engineering, research, product, and program teams. Lead and mentor engineers and apply emerging AI research to responsible production systems.

Design, develop, test, deploy, and support foundational AI systems, including model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale AI systems for scalability, cost, latency, throughput, and hardware utilization. Collaborate with engineers, scientists, technical program managers, and product managers while shaping the technical vision and roadmap for responsible AI platforms.

Leads client-facing data science and analytics initiatives, translating complex marketing and media data into actionable business narratives. Develops measurement strategies, including test/holdout incrementality, informs acquisition and retention decisions, scales analytics best practices, and manages analyst teams. Partners with Sales, Client Services, Operations, and other stakeholders while supporting predictive and adaptive AI/ML solutions. The role requires strong client communication, strategic leadership, analytics expertise, and proficiency with Python, SQL, Tableau, and related tools.

Design and implement AI-enabled integration solutions, cloud architectures, and enterprise technology platforms. Lead strategic planning, analyze business requirements, conduct feasibility studies, coach teams, manage stakeholders, and validate solutions with clients. Apply generative and agentic AI, IoT, sensor data, systems thinking, and enterprise architecture practices to solve complex business problems and drive innovation.