Top AI Jobs in Boston, MA

Analyze and optimize clients’ supply chain operations, logistics, inventory, and core business processes. Develop and implement process improvements, operations strategies, and distribution solutions using analytical thinking and Six Sigma methodologies. Manage project initiatives, collaborate with clients, deliver actionable recommendations, and support sustainable growth and operational efficiency while mentoring junior team members.

Leads healthcare operations consulting projects focused on supply chain, process optimization, service delivery, and business transformation. Analyzes performance metrics and business data, implements quality standards, manages change, coordinates operational improvements, and develops execution plans. The role requires client engagement, stakeholder collaboration, critical thinking, and mentoring while aligning healthcare operations with regulations and technology advancements.

Lead Babylist’s brand positioning, architecture, visual identity, creative studio, campaign concepting, video production, and partnership marketing. Build scalable, AI-enabled brand systems that help teams create on-brand work without manual approvals. Partner with product design, engineering, content, communications, and commercial teams to increase brand awareness, customer acquisition, and partner value while protecting brand consistency across the customer journey.

Lead customer listening and Voice of Customer programs, including NPS, CSAT, CES, surveys, and interviews. Analyze qualitative and quantitative customer data to identify drivers, trends, pain points, and opportunities. Present insights to executives and cross-functional teams, facilitate action planning, and drive systemic customer experience improvements. Evaluate AI tools for sentiment analysis, theme extraction, and customer research while helping build a data-driven, customer-centric culture.

Drives revenue growth by selling hybrid infrastructure services and solutions to public-sector, aerospace, and defense customers. Manages the full sales lifecycle, develops account strategies, builds customer and partner relationships, designs technical solutions, prepares BOMs and SOWs, and forecasts pipeline activity in Salesforce. Provides data-center expertise across VMware, HPE, Dell, and Cisco, mentors junior executives, supports industry events, and coordinates internal teams to achieve sales and profitability targets.

Manage intellectual property litigation, disputes, discovery, outside counsel, and court filings. Advise teams on patents, trademarks, copyrights, publicity rights, and legal risk. Support patent harvesting and prosecution, trademark protection, regulatory inquiries, customer complaints, commercial litigation, and artificial intelligence governance. Translate complex legal issues into practical business guidance while managing multiple priorities.

Leads engineering teams delivering automation and robotic process automation solutions across the service organization. Partners with product, operations, and technology leaders to modernize processes, reduce manual work, improve quality, and develop AI-enabled capabilities. The manager is responsible for team leadership, technology strategy, responsible AI adoption, operational excellence, stakeholder collaboration, and delivering practical business value through software solutions in an agile environment.

Provides administrative and operational support to the Tax team by coordinating filings, payments, signatures, licenses, deadlines, correspondence, and stakeholder communications. The role manages tax-related projects, maintains accurate records, improves workflows, translates business needs into reporting and dashboard requirements, and supports adoption of tax technology and automation tools. It also partners with compliance, legal, accounting, consultants, and government agencies to resolve inquiries and ensure timely regulatory compliance.

The Account Executive will manage major enterprise accounts across New England, build relationships with C-suite and internal stakeholders, develop strategic account plans, and serve as a trusted advisor. The role involves selling software or security solutions, closing new customer logos, meeting sales targets, leveraging channel partnerships, and aligning Zscaler’s cloud security offerings with customer goals. The position also requires active adoption of AI tools to improve workflows and problem-solving.

Owns Motive’s full-funnel B2B content strategy, including thought leadership, research, customer stories, executive content, and long-form editorial. Leads programs from opportunity identification through production, distribution, optimization, and measurement. Partners with marketing, sales, communications, SEO, brand, customer, and executive teams to align content with audience, brand, pipeline, and enterprise buying goals. Builds scalable, AI-enabled content processes and establishes editorial standards.

Leads Babylist’s editorial, branded content, social, creator and influencer marketing, community programs, and podcasts. Builds an affiliate creator program from the ground up, establishes content strategy and operating models, directs social-native video, balances editorial integrity with sponsored content, and drives acquisition through organic and paid distribution. Manages a multi-format content leadership team and partners across marketing, creative, and brand strategy to measure performance and scale growth.

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.

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.

Conduct applied AI research and build foundation models across design, training, evaluation, validation, and deployment. Partner with data scientists, software engineers, ML engineers, and product managers to deliver scalable AI products. Research areas include deep learning, graph and sequential models, model optimization, self-supervised learning, robustness, explainability, RLHF, LLM fine-tuning, and data preparation. Own research agendas, publish innovative work, and translate technical findings into business outcomes.

Lead a cross-organizational program to transition engineering to an AI-driven, self-optimizing ecosystem with robust telemetry and evaluation. Orchestrate strategy and execution, mitigate technical risk, build and grow a TPM practice, align product/engineering/design/data science, and deliver measurable business impact.

Lead development of scalable, responsible AI platform services, including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Optimize AI training and inference for scalability, cost, latency, throughput, and hardware utilization. Partner with engineers, scientists, technical program managers, and product managers to deliver production AI systems and shape the long-term technical roadmap.

Conduct applied research and develop scalable AI foundation models, including large language models, through design, training, evaluation, validation, fine-tuning, and production implementation. Collaborate with data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products. Research emerging methods, optimize training and inference, contribute platform or solution code, and independently pursue impactful research agendas.

Lead the design, development, deployment, and support of foundational AI systems, including model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Develop optimization techniques that improve production AI system scalability, latency, throughput, cost, and hardware utilization. Partner with engineers, scientists, technical program managers, and product managers while shaping the long-term technical roadmap for responsible AI platforms.

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 performance, scalability, latency, throughput, and cost. Collaborate with engineers, research scientists, technical program managers, and product managers while shaping the long-term roadmap for responsible AI infrastructure.

The Lead AI Engineer will develop and deploy AI components, optimize large language models, and improve AI systems performance while collaborating with cross-functional teams.

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.