Top AI Jobs in Boston, MA

Develop and operate production ML and AI systems powering patient experiences such as matching, ranking, recommendations, onboarding, and personalization. Build reusable ML infrastructure, pipelines, evaluation, observability, and model-serving capabilities. Provide technical leadership across the ML lifecycle, guide architecture, evaluate custom versus foundation-model approaches, and partner with ML and Patient Engineering teams to deliver reliable, scalable AI products.

Manage enterprise SaaS renewals by protecting and expanding annual recurring revenue. Develop renewal strategies, negotiate commercial terms, prepare offers, structure upgrades and Flex conversions, manage contracts, research customer utilization, forecast renewals, and mitigate account risks. Partner with enterprise sales teams and customer value architects while serving as a subject matter expert on subscription renewals and sales processes.

Develops and leads complex hybrid infrastructure solutions in a field-based technical pre-sales role. Provides customer consultation, architecture, optimization, assessments, proposals, RFP responses, and executive-level technical guidance. Builds strategic customer relationships, leads solution visioning, mentors technical teams, supports business development, and contributes to go-to-market initiatives. Requires extensive hybrid infrastructure expertise, strong communication and presentation skills, executive influence, and willingness to travel.

Own Eve’s messaging house, positioning, competitive narrative, first-call deck, keynote and event content. Partner with executives, Product, Sales, Enablement, Demand Gen, and Content to ensure consistent, differentiated messaging. Gather market feedback from customers, prospects, and sales calls, translating technical AI capabilities into clear value for plaintiff attorneys. The role requires exceptional writing, executive presence, strategic messaging expertise, and 7+ years of B2B SaaS or legal technology product marketing experience.

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.

Leads the design and operation of an integrated renewals and commercial operations function covering pricing, deal desk, contract negotiation, discount governance, and RFP resources. Redesigns processes using AI and automation, defines CPQ and contract lifecycle requirements, improves ARR and productivity, establishes commercial policies, monitors KPIs, and builds a high-performing team while partnering with Sales, Legal, and Finance.

Own the clinical safety strategy for Headway’s behavioral health platform. Define risk detection, escalation, severity taxonomies, and safeguards across patient and provider product surfaces. Partner with product, engineering, clinical operations, and AI teams to audit safety gaps, evaluate AI outputs, create clinical rubrics, and ensure policies accurately reflect risk ownership. Advocate for clinical rigor while translating complex safety requirements into actionable product systems.

Owns the strategy, roadmap, implementation, compliance, and continuous improvement of global time and absence programs. Manages Workday Time and Absence modules, leave policies, regulatory updates, payroll data flows, stakeholder collaboration, training, communications, and change management across global regions. Ensures accurate time tracking, leave administration, legal compliance, operational efficiency, and positive employee experiences.

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 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.

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%.

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.

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.

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.

Lead AI-driven transformation across Operations by mapping current workflows, designing AI-native target states, validating feasibility and value, building business cases, and facilitating cross-functional workshops. Advise senior executives, manage communications and risks, secure stakeholder alignment, and lead a team of program managers delivering firmwide initiatives.

Lead and manage cross-firm AI in Operations program initiatives: develop strategic plans, apply structured problem-solving and design thinking, support multiple workstreams, engage senior stakeholders, standardize AI use cases, and drive scaling and reimagination of AI capabilities across operations.

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.

Designs, develops, deploys, and supports large-scale AI systems, including foundation models, LLM inference, agentic workflows, similarity search, guardrails, and model evaluation. Defines enterprise AI architecture, optimizes model performance, cost, latency, and throughput, establishes AI safety and governance standards, leads multi-year platform initiatives, and mentors senior technical leaders across engineering and research.

Lead the design, development, deployment, and governance of scalable AI systems, including foundation models, LLM inference, similarity search, guardrails, evaluation, and observability. Define AI platform strategy, optimize production systems, establish Responsible AI standards, and translate enterprise priorities into execution plans. Build and mentor multi-team engineering organizations while partnering with research, product, compliance, and risk teams.