Top AI Jobs in Boston, MA

Lead clinical product strategy for a digital mental healthcare platform. Embed behavioral health expertise into product design, AI governance, patient safety, clinical quality, and measurable outcomes. Translate clinical workflows into product requirements, guide safe AI-enabled features, monitor provider and patient outcomes, and align product, design, data, and engineering teams. The role requires a licensed psychiatrist or psychologist with substantial clinical experience and prior collaboration with product and engineering teams.

Leads Monte Carlo’s Enterprise Americas sales team, overseeing forecasts, pipeline coverage, new-logo bookings, outbound prospecting, deal inspection, and enterprise sales coaching. The role requires developing a repeatable sales process, coaching reps through complex executive-level deals, recruiting enterprise account executives, and partnering with sales engineering, SDR, marketing, and customer success teams. Candidates should have prior enterprise SaaS sales leadership experience and expertise in disciplined methodologies such as MEDDPICC and value-based selling.

Manage DraftKings Rewards loyalty program operations by monitoring KPIs, analyzing player behavior and program economics, validating data, and recommending improvements. Coordinate testing, launches, and issue resolution for program enhancements while partnering with Analytics, Finance, and Loyalty Operations. Build data-backed business cases, improve reporting and workflows through AI and automation, and communicate recommendations to leadership.

Leads internal communications for a rapidly scaling, distributed technology company. Builds communication systems, channels, and cadences; partners with executives on employee messaging; translates complex business and technical information; supports culture, employee experience, company narrative, and major company moments; and uses data and AI to improve communication effectiveness.

Manage and mentor Product Managers while guiding product strategy, prioritization, roadmap execution, and lifecycle management for Rapid7’s cybersecurity platform. Partner with Product, Engineering, UX, executives, customers, and cloud ecosystem partners to define requirements, launch features, analyze usage and feedback, and drive market impact. The role also promotes AI-enabled product management practices, customer-centric decision-making, cross-functional alignment, and development of high-performing global teams.

Own monthly close, general ledger operations, journal entries, balance sheet reconciliations, corporate card and accounts payable workflows, SaaS billing reconciliations, equity accounting, and variable compensation calculations. Maintain US GAAP compliance and internal controls, support audits and tax filings, resolve cross-functional variances, and improve accounting systems and processes. The role requires an active CPA license and experience with cloud ERP and modern financial tooling.

Owns the operating model for the Office of the CISO, including planning cadences, governance, executive reporting, metrics, stakeholder forums, budgeting, and tool governance. Prepares leadership and Board-level communications, facilitates cross-functional alignment, manages Office of the CIO deliverables, and oversees the Crowd for Crowd program. The role also drives AI-enabled workflows, reporting standards, process improvements, and program adoption across cybersecurity operations.

Manages unit leaders overseeing Short Term Disability and absence claims teams. Establishes performance expectations, removes barriers, develops team capabilities, and drives customer service, expense management, claim accuracy, and operational efficiency. Uses performance data, claim reviews, call monitoring, automation, and AI strategies to address root causes and improve outcomes. Partners with internal and external customers, supports team accountability, and escalates issues with recommended solutions.

Leads Dropbox’s global Revenue and Marketing Operations strategy across SMB, Mid-Market, and Enterprise segments. Owns revenue planning, forecasting, segmentation, territories, quotas, incentives, GTM systems, analytics, pipeline management, and operational cadence across the customer lifecycle. Partners with executive leadership, Finance, Sales, Marketing, Product, and Customer teams to drive predictable growth, AI adoption, productivity, and transformation while building a high-performing Revenue Operations organization.

Own end-to-end sales operations workstreams supporting Enterprise Account Executives. Analyze sales data, build dashboards and KPIs, improve intake and pipeline processes, and recommend solutions that increase seller effectiveness, revenue, and profitability. Collaborate with Sales Operations, Deal Desk, Finance, Legal, Sales Strategy, and GTM Systems stakeholders. Use AI and automation to streamline workflows and present findings to senior leaders.

Advise clients on privacy, data protection, and responsible AI requirements. Evaluate AI systems for fairness, transparency, safety, privacy, accountability, and third-party risk. Develop governance operating models, policies, risk-tiering approaches, controls, impact assessments, and client deliverables. Interpret regulatory changes, support breach investigations, collaborate with legal, compliance, cybersecurity, data, and technology teams, and mentor junior staff. Apply technical literacy in AI/ML, GenAI, software development, technical architecture, and Python.

Leads the design and modernization of scalable data architecture for economic data platforms, including massive time-series datasets, archival documents, and research publications. Responsibilities include data modeling, metadata and governance design, storage and processing architecture, indexing, discoverability, security, lifecycle management, and API data access optimization. Partners with application architecture and cross-functional teams to deliver highly available, secure, public-facing data platforms supporting analytics and research.

Leads the design, development, testing, and evaluation of AI and machine learning solutions. Directs data analysis, modeling, infrastructure, monitoring, and integration efforts while establishing standards for AI robustness, bias, explainability, failure modes, and technical controls. Manages large projects, advises clients, coaches teams, and develops reusable evaluation tools and evidence workflows for responsible AI deployment.

Design and deploy AI systems and machine learning models, perform data wrangling and analysis, and integrate solutions into data infrastructure. Develop scalable AI applications, relational data systems, evaluation tools, automated tests, and monitoring capabilities. Assess AI behavior, robustness, bias, explainability, drift, hallucinations, and guardrails while evaluating technical controls and communicating findings to clients and stakeholders.

Develop and implement AI and machine learning solutions, including algorithms, data models, infrastructure, evaluation tools, automated tests, monitoring, and responsible AI controls. Lead testing for robustness, bias, drift, explainability, hallucinations, and failure modes. Manage client accounts and technical workstreams, review evidence and controls, communicate trade-offs, mentor teams, and maintain delivery and professional standards.

Leads global Clinical Pharmacology and Pharmacometrics Quality operations, strategy execution, transformation, organizational effectiveness, digitalization, AI adoption, governance, performance management, budgeting, workforce planning, vendor investments, and change management. Partners with senior leadership to manage strategic initiatives, improve operational excellence, build capabilities, and sustain a high-performing organization across R&D and Global Quality.

Supports human-centered research, design, usability evaluation, validation, and risk management for medical devices and combination products. Develops user research, human factors studies, usability engineering files, protocols, reports, and design-control documentation in accordance with regulatory guidance, IEC, and ISO standards. Collaborates with engineering, clinical, regulatory, quality, data science, and commercial teams; manages research vendors; supports AI-enabled research methods and internal and external audits.

Leads process analytics method development, automation, robotics-enabled workflows, and platform implementation across pharmaceutical development programs. Establishes analytical standards, governance, roadmaps, and performance measures; transfers methods into laboratories; modernizes data and instrument connectivity; manages vendors; and supports process analytical technology, quality, compliance, and inspection readiness. Provides technical and people leadership while coordinating cross-functional stakeholders and driving scalable, standardized analytical capabilities across sites.

Leads Takeda’s global communications insights and metrics capability, converting external stakeholder, media, policy, societal, reputational, and employee engagement signals into executive-ready intelligence. Builds narrative intelligence programs, dashboards, metrics, early-warning mechanisms, governance processes, and AI-enabled decision-support tools. Partners with senior leaders, analytics, data, digital, and technology teams to support strategic planning, organizational effectiveness, emerging-issue response, and governance effectiveness.

Leads Takeda Oncology’s global forecasting function across marketed products, launches, pipeline assets, lifecycle opportunities, and business development evaluations. Establishes forecasting strategy, governance, methodologies, and standards; directs portfolio modeling and scenario analysis; translates insights into commercial, investment, and business-planning recommendations; influences executive decisions; and develops a high-performing forecasting organization across a global matrix.

Owns platform product operations for Billing, Org & Auth, and Security teams. The role identifies enterprise-readiness gaps, connects platform investments to ARR, analyzes structured and unstructured data, and builds internal data and AI products. Responsibilities include roadmap prioritization, revenue-impact analysis, repeatable workflows, executive recommendations, and end-to-end ownership of tools and projects. Candidates need 8+ years of relevant experience, strong analytical and product judgment, and a record of shipping useful solutions tied to business outcomes.

Own Deepgram’s AI applications product line, including strategy, roadmap, customer definition, acquisition, activation, retention, monetization, and profitability. Lead zero-to-one product development, represent the product with customers and partners, and coordinate research, engineering, design, and marketing. Prototype and validate ideas through real usage and measurement while communicating decisions to executives. The role requires shipped, paid consumer or prosumer products, deep AI application experience, technical depth, design judgment, and strong product leadership.

Advises pharmaceutical and life sciences clients on R&D operations, clinical trial design, organizational design, process optimization, regulatory compliance, analytics, and portfolio management. Develops actionable strategies, executive presentations, and decision-support insights while coordinating projects and client workshops. Guides junior team members, supports change management, and helps clients improve R&D productivity, operational effectiveness, growth, and innovation across the drug development lifecycle.

Leads enterprise data science initiatives for agentic AI products, including AI/ML model development, experimentation, telemetry analysis, and strategic recommendations for senior leadership. Partners with data scientists, engineers, and product managers while translating complex statistical insights into business outcomes. Requires extensive experience in quantitative analytics, large-scale data analysis, production AI/ML deployment, A/B testing, and team leadership.

Manage full-cycle technical recruiting for Engineering, Product, Security, UX, and R&D roles. Partner with hiring leaders on role definition, structured interviews, sourcing strategy, market research, candidate assessment, pipeline management, and offer negotiations. Build diverse talent pipelines, use recruiting data to guide decisions, maintain accurate Greenhouse documentation, deliver an inclusive candidate experience, and improve recruiting practices through responsible AI use and shared resources.