Top AI Jobs in Boston, MA

Provides legal counsel for global biopharmaceutical supply, quality, procurement, and strategic transactions. Leads negotiation, drafting, review, and post-signing support for manufacturing, supply, logistics, quality, warehousing, equipment, and services contracts. Develops contracting templates, playbooks, escalation frameworks, and training; advises on regulatory, compliance, trade, sanctions, product liability, and continuity risks. Partners with global stakeholders across jurisdictions and time zones while balancing legal risk, business objectives, and execution speed.

Provides legal advice and leads negotiations for global technology, software, cloud, data, AI, digital health, and other enterprise transactions within Takeda’s biopharmaceutical business. Advises on risk, compliance, privacy, cybersecurity, intellectual property, and regulatory issues; supports due diligence, contract interpretation, disputes, amendments, and renewals. Develops contracting templates, playbooks, escalation frameworks, and training while partnering with Procurement, business teams, and global legal stakeholders.

Leads digital transformation initiatives for Global Clinical Supply Chain, including platform enhancements, automation, AI, control-tower development, integrations, process optimization, and GxP compliance. Manages system outages, develops alerts and workflows, supports inspections, trains users, and drives cross-functional supply chain projects using systems such as SmartSignals, SAP, and IRT.

Lead and develop a team of Technical Account Managers delivering post-sale guidance to cybersecurity partners. Establish standards for deployment, adoption, partner health, retention, and expansion; coach team members; coordinate with Sales, Support, Product, and Marketing; resolve technical and account issues; communicate with technical and executive audiences; and build AI-enabled workflows for account reviews, coaching, prioritization, and customer communication.

Serve as an embedded security partner to business, product, data, and technology teams. Assess architectures, conduct threat reviews, develop secure-by-design patterns, guide SaaS and vendor selection, and translate security requirements into practical controls. Support identity, infrastructure, AI workflows, data strategy, M&A integrations, and automated guardrails while enabling teams through training and collaboration.

Leads revenue and go-to-market strategy across segmentation, sales coverage, monetization, market expansion, pricing, packaging, and investment priorities. Builds models, analyses, and decision memos; advises senior Sales, Finance, and Product leaders; translates customer and field insights into product and commercial recommendations; and partners with Field Operations and Enablement to execute multi-quarter changes.

Lead product strategy, roadmap, and execution for Zscaler’s threat detection and response offerings within its Agentic SOC and MDR business. Translate threat intelligence and customer needs into innovative security products, coordinate engineering and go-to-market teams, and measure product impact. The role owns commercialization, technical direction, product quality, and business outcomes while requiring deep cybersecurity expertise and experience with enterprise security products.

Leads Motive’s competitive intelligence program, translating market and competitor insights into sales plays, battlecards, enablement, product feedback, and customer-facing content. The role researches competitors, analyzes win/loss and CRM data, uses AI for research automation, trains sales teams, supports strategic deals, and measures program impact on win rates and pipeline. It requires extensive product marketing or competitive intelligence experience in B2B technology or SaaS, with cross-functional influence and senior leadership communication skills.

Owns product strategy, user experience, and capabilities for Capital One’s enterprise API platform. The role drives platform modernization, API design, customer and associate experiences, AI-enabled capabilities, business value creation, and cross-functional alignment. Candidates need a quantitative, business, or marketing degree, or any bachelor’s degree plus at least three years of product management experience. Experience translating business strategy into consumer-facing digital products is preferred.

Leads strategy, roadmap, investment, and execution for horizontal AI capabilities, shared AI platforms, and AI-native cybersecurity products. Translates AI research into reliable, secure, scalable customer solutions; drives adoption across product teams; establishes launch and autonomy criteria; partners with customers and cross-functional leaders on commercialization; and builds a high-performing AI product organization.

Leads complex, cross-functional technical programs for the Superintelligence Lab. Responsibilities include roadmap execution, milestone and dependency management, risk mitigation, issue resolution, stakeholder alignment, leadership reporting, and implementing program-management best practices. The role requires collaboration with engineering, data science, and leadership teams while using AI technologies and Jira to improve workflows, decision-making, and business outcomes.

Leads information security strategy and execution for the Federal Reserve System’s District IT and Corporate Services portfolio. Advises senior technology and business leaders, manages cybersecurity risk and tolerance, develops resilient security practices, and partners across a matrixed organization to deliver secure technology services. Builds high-performing, AI-savvy teams, drives change and innovation, manages stakeholders and external partners, and aligns security initiatives with business objectives and system standards.

Leads information security strategy and execution for the Federal Reserve’s Central Bank Services portfolio, including Markets, Credit Risk Management, and Reserves. Advises senior business and technology leaders, manages cybersecurity risk and resilience, partners across a matrixed organization, develops security strategies, builds AI-savvy teams, drives change and innovation, and ensures secure, reliable technology delivery aligned with business objectives and System standards.

Leads enterprise architecture across product, platform, data, AI, and security domains. Chairs the Architecture Review Board, establishes technology standards and governance, owns the company-wide technology roadmap, guides cross-functional technical decisions, mentors architecture leaders, and advises executives on architecture posture, security, privacy, regulatory requirements, and M&A due diligence. The role requires cloud-native and Kubernetes expertise, broad technical fluency, hands-on engineering credibility, and experience in regulated or security-sensitive environments.

Leads epidemiology and real-world evidence strategies for pharmaceutical assets and research programs. Designs and interprets observational studies, evaluates real-world data sources, supports clinical development, regulatory, market access, commercialization, and lifecycle decisions, and authors scientific and regulatory materials. Partners cross-functionally, manages research vendors, and applies advanced analytics, digital tools, data visualization, and AI-enabled methods to address evidence needs.

Leads product positioning, messaging, customer research, product launches, customer storytelling, demonstrations, and sales enablement for Tulip’s AI-native B2B platform. Builds voice-of-customer programs through interviews, site visits, win-loss reviews, advisory boards, and sales-call analysis. Partners with product, sales, customer success, and marketing teams to connect platform capabilities to manufacturing customer outcomes and improve market performance.

Leads client portfolios using ZAIDYN data management and analytics solutions for emerging pharmaceutical companies. Responsibilities include business development, solution design, technology implementation, project and staffing management, client presentations, global team leadership, technical escalation, and mentoring. The role oversees scalable deployments involving analytics, AI, cloud, big data, BI, data governance, integration, and master data management.

Leads Global Surety’s technology product portfolio by translating business objectives into product strategies, prioritizing backlogs, allocating investment, coordinating product teams, and overseeing Agile delivery. Represents product vision to senior stakeholders, manages Product Owners and Agile teams, resolves portfolio trade-offs, approves release plans, and drives Agile transformation, customer outcomes, and business value across the organization.

Develops and oversees enterprise AI governance policies, standards, controls, monitoring, and risk-management processes. Advises business and technology leaders on responsible AI, regulatory requirements, controls, and mitigation strategies. Coordinates with cybersecurity, privacy, legal, compliance, architecture, and engineering teams; evaluates control effectiveness; drives corrective actions; supports audits, executive reporting, and governance committees; and promotes adoption through stakeholder education. Requires 8+ years in data analysis, reporting, or related fields, with SQL, analytics, data modeling, and visualization experience.

Own readiness and enablement programs for SDR teams, including onboarding, sales training, prospecting, qualification, product knowledge, tool adoption, AI workflows, and manager coaching. Facilitate workshops and role-plays, develop learning content and playbooks, partner with sales, marketing, operations, and systems teams, and measure impact through ramp time, conversion, pipeline, proficiency, and adoption metrics.

Partners with manufacturing customers to understand operational challenges, architect and implement Tulip solutions, and deliver enterprise projects. Configures connected applications, integrates MES, ERP, and devices, supports customers, resolves technical issues, and communicates customer insights to Product and Engineering. Builds relationships from the shop floor through executive leadership and contributes to delivery processes and continuous improvement initiatives.

Leads Circle National Trust’s operations, compliance, governance, business planning, regulatory engagement, audits, risk mitigation, and cross-functional resource coordination. The role reports to Circle executives and the Trust Board, ensures efficient and compliant fiduciary and custody operations, develops the business foundation, and promotes strong governance, communication, and operational performance within a regulated financial services environment.

Leads a multidisciplinary data science and data engineering team supporting Finance. Sets strategy, prioritizes initiatives, guides analytical models and data architecture, advances AI and machine learning applications, improves data quality and reliability, establishes scalable operating processes, and communicates technical recommendations to Finance and executive stakeholders. The role also manages talent, oversees forecasting and decision-support outcomes, and drives measurable business impact.

Medical Director supporting oncology real-world evidence, precision medicine, and cancer genomics initiatives. Partners with biopharma clients and cross-functional teams to design and validate clinical-molecular datasets, support translational research and clinical development, scope custom data solutions, and apply evidence to rare tumors, biomarkers, external control arms, and trial planning. Also contributes to pre-sales, internal training, scientific studies, and conference presentations.

Leads GitLab’s Product, Sales, and Finance Data Science teams, managing managers and a 12-person organization. Sets data science standards, prioritizes investments, partners with executives, drives product adoption and revenue growth, and oversees experimentation, causal inference, predictive modeling, and AI initiatives. Develops talent, builds succession, and collaborates with Analytics Engineering and Data Engineering on a shared data and AI roadmap.