Top AI Jobs in Boston, MA

Leads onsite service relationships for a New York Life general office, serving as liaison among agency managers, recruiters, agents, and service teams. Resolves escalations, oversees onsite specialists, supports sales initiatives, trains users on AI and digital tools, coordinates engagement events, drives adoption, manages office operations, and oversees financial processes.

Develops AI and machine learning prototypes for insurance applications using Python, large language models, NLP, retrieval-augmented generation, agentic AI, information retrieval, and computer vision. Collaborates with data scientists and engineers on ideation, product design, algorithm development, data analysis, and experimentation in an R&D environment.

Leads the Independent Agency Data Science team and oversees Quote Efficiency models, emerging AI/ML initiatives, and products supporting agents, territory managers, and producers. Manages 7–10 data scientists across model development, deployment, monitoring, and performance evaluation. Partners with analytics, technology, strategy, marketing, and business stakeholders while developing talent and communicating with senior executives.

Leads analytical methodology and evaluation for AI-based healthcare and pharmaceutical workflows. Owns model selection, cohort and HCP segmentation, agent decision logic, and evaluation frameworks. Partners with engineering, data architecture, and governance teams to productionize rigorous analytical methods, identify new data and techniques, communicate insights, and mentor data science and engineering colleagues.

Leads data science methodology and advanced analytics for AI-enabled Medical Affairs workflows. Develops and evaluates statistical, machine-learning, NLP, and AI models using healthcare and real-world data; defines validation, monitoring, and decision frameworks; partners with engineering, governance, and business teams to operationalize solutions. Provides technical leadership, mentorship, documentation standards, and strategic guidance while ensuring privacy, compliance, responsible AI use, and clear communication of analytical findings.

Lead and grow an enterprise sales team selling AI-powered SaaS underwriting and analytics solutions to health insurance and benefits organizations. Responsibilities include recruiting, coaching, forecasting, quota attainment, pipeline management, strategic deal support, onboarding, performance improvement, and leadership reporting. The role partners with Marketing, Product, and Customer Success to shape demand generation and messaging while driving consultative sales methodology across the team.

Leads internal and external compliance audits, assessments, attestations, and certifications across security, privacy, and enterprise frameworks. Develops system integrations and scalable automation to streamline audit and compliance programs. Communicates with internal and external stakeholders, evaluates risks, improves information security processes, and applies AI technologies to enhance workflows and decision-making.

Own the strategic vision and roadmap for Coursera’s search experience, including conversational, personalized, semantic, multilingual, and AI-driven discovery. Partner with engineering, design, research, data science, marketing, and product teams to improve search accuracy, conversion, and learner engagement. Lead experimentation, KPI measurement, competitive analysis, and revenue-focused personalization initiatives across a global learning platform.

Develops and presents hybrid infrastructure solutions for federal and state/local government customers. Responsibilities include technical pre-sales consulting, solution architecture, assessments, service scoping, configurations and bills of materials, statements of work, sales strategy, customer and partner relationship management, and technical enablement. The role requires expertise across servers, storage, backup, virtualization, cloud, and AI technologies, along with mentoring other solution architects and traveling up to 25%.

Develops and leads complex hybrid infrastructure solutions for federal and state/local customers in a technical pre-sales capacity. Provides architecture, assessments, optimization, advisory services, proposals, RFP responses, configurations, and bills of materials. Acts as a trusted customer advisor, leads executive technical discussions, supports sales and go-to-market initiatives, mentors technical teams, and maintains strategic relationships. The role requires extensive technical or pre-sales experience, government customer expertise, and travel up to 25%.

Own Motive’s internal AI product strategy and roadmap for go-to-market teams. Translate business needs into technical requirements, guide agile development and releases, manage AI data and usage policies, evaluate vendors, forecast LLM costs, build investment cases, and drive adoption through training and executive communication. Partner closely with revenue developers, enterprise systems, procurement, legal, infosec, and business leaders to deliver AI agents, applications, and prompts.

Mission Lead Interns embed with defense customers, identify mission problems, configure and test AI workflows, troubleshoot deployments, onboard users, demonstrate mission impact, and expand customer relationships. The role requires independent execution in ambiguous environments, close coordination with Product, Engineering, Mission, Security, and Operations teams, frequent customer-site travel, and a current TS/SCI clearance.

Leads a team of Forward Deployed Engineers while supporting sales, customer discovery, solution architecture, foundational implementations, and proof-of-value engagements. The role translates customer requirements into SailPoint solutions, advises on product architecture and best practices, collaborates across sales, product, services, and customer success, and develops AI-powered agentic solutions for demonstrations and customer outcomes. It requires significant enterprise software implementation or presales experience, technical leadership, SaaS architecture knowledge, and client-facing consulting expertise.

Leads learning design for K-8 digital education content initiatives from brief through launch. Develops instructional frameworks, assessment items, content specifications, quality standards, and grade-band differentiation. Provides feedback and upskills learning designers, partners with product and editorial teams, and contributes to AI-assisted content workflows through prompt design, output evaluation, and quality rubrics. Requires strong assessment writing, curriculum expertise, standards knowledge, initiative leadership, and experience designing for multilingual learners.

Serve as a strategic partner and force multiplier to the Founder/CEO. Manage executive priorities, represent the CEO, drive ELT operating cadence and cross-functional alignment, prepare leadership and board materials, lead high-impact special projects, and implement AI tools to improve productivity. The role requires exceptional communication, analytical problem-solving, discretion, resilience, organization, and the ability to operate effectively in ambiguity.

Leads strategy and operations for the partnerships organization, partnering with business development, partner success, finance, systems, and enablement. Owns segmentation, planning, metrics, pipeline reviews, partner economics, deal desk, and operating cadence. Develops AI strategy and productivity improvements across forecasting, partner scoring, and field insights. Builds analyses directly, influences senior revenue leaders, and hires and manages a team of analysts and operations partners.

Leads payer onboarding, transitions, ongoing payer operations, licensing, credentialing, audits, site inspections, and regulatory compliance for Babylist Health. Builds scalable processes, monitors payer performance, manages commercial and Medicaid operations, program-manages new business launches, and partners with billing, legal, product, contracting, and customer support. Manages and develops two direct reports while establishing the operational foundation for expanding clinical services.

Advise cross-functional teams on legal and regulatory matters, including privacy, AI, disputes, and operational risk. Draft, review, and negotiate technology, vendor, professional services, and strategic partnership agreements. Partner with legal operations to improve workflows, automate processes, and create scalable guidance. Collaborate with finance, technology, and operations teams on third-party risk and regulatory compliance while providing practical, business-oriented counsel to senior leaders.

Leads a software engineering portfolio and people-management team building cloud-based, full-stack risk technology solutions. Oversees distributed microservices, regulatory technology, AI-powered risk management tools, and collaboration with product managers. Mentors engineers, evaluates code, promotes modern technology practices, and may contribute hands-on development using multiple programming languages, databases, containers, Kubernetes, and cloud services.

Own the vision, roadmap, and delivery of internal SOC tooling, including analyst UX, response workflows, investigation models, and automation. Partner with SOC leadership, engineering, design, and product teams to transform manual processes into scalable workflows. Define requirements, interfaces, operational metrics, and investment cases while improving analyst throughput, time-to-close, and delivery repeatability. The role requires deep SOC operations knowledge, cybersecurity product management experience, and expertise building operator-facing platforms and AI-enabled products.

Leads Engineering Operations by building the operating system connecting Product, Engineering, and Data strategy to measurable outcomes. Owns executive reporting, KPI and OKR definition, portfolio planning, software delivery reviews, capacity and headcount planning, risk and dependency tracking, and cross-functional decision-making. Partners with senior leaders across technology and business functions to improve delivery predictability, accountability, resource allocation, and organizational effectiveness.

Leads GitLab’s Agentic Software Delivery product section across continuous integration, artifact management, continuous deployment, and observability. Owns three-year strategy, product vision, business outcomes, adoption, retention, revenue, investment decisions, pricing, packaging, and go-to-market execution. Manages senior and principal product managers, partners with Engineering and commercial teams, and guides customers toward AI-powered software delivery. Requires strong technical fluency in DevOps, executive communication, portfolio leadership, and experience with AI-native product management.

Product Counsel will advise product, engineering, data science, marketing, compliance, and sales teams throughout the product lifecycle. Responsibilities include counseling on regulatory compliance, privacy, intellectual property, consumer protection, AI and machine learning, data rights, platform architecture, APIs, identity and account security, and marketing. The role translates legal requirements into technical guidance, supports AI governance, monitors evolving laws, and develops scalable legal processes for a fast-paced technology company.

Summer 2027 internship opportunities are available across sensors, intelligence, cyber, analytics and command-and-control, systems, operations, and corporate functions. Interns should be enrolled in a BS, MS, or PhD program, demonstrate strong academics and research interest, and be able to obtain a security clearance. The program offers competitive pay, housing at the Massachusetts site, alternate-site bonuses, flexible hours, and summer activities. Roles support advanced defense, intelligence, cybersecurity, sensing, communications, electronic warfare, and artificial intelligence research.

Drive product development for Mastercard’s commerce media and AdTech solutions. Responsibilities include defining product concepts, requirements, roadmaps, MVPs, workflows, and technical features; partnering with Engineering, Data Science, CX&D, TPMs, and business stakeholders; supporting go-to-market strategy and business cases; conducting market research; managing global workstreams; and mentoring junior product managers.