Top AI Jobs in Boston, MA

Provides strategic industrial hygiene and safety engineering leadership for a major customer account. Responsibilities include hazard identification, exposure assessment, control evaluation, robotics and automation safety reviews, onsite assessments, capital project support, executive reporting, KPI tracking, training, mentoring, and consulting project leadership. The role is work from home with up to 35% overnight travel across the U.S. and potentially internationally.

Own and develop Finance data functions or products end to end, including operating models, stakeholder alignment, requirements discovery, approval processes, and enterprise data capabilities. Lead cross-functional teams without direct authority, establish priorities, resolve complex problems, and deliver technology-driven solutions supporting artificial intelligence, financial reporting, regulators, investors, and lines of business.

Build business cases for enterprise marketplace opportunities, including financial models, assortment strategies, operational impact analyses, and transformation roadmaps. Present recommendations to VP- and C-level stakeholders, support complex sales opportunities with benchmarks and deal structures, and develop reusable value frameworks. The role also advances AI-enabled workflows and represents Mirakl externally. Candidates need consulting or strategy experience, strong financial modeling and executive communication skills, marketplace or commerce knowledge, and a bachelor's degree.

Supports Revenue Operations by sourcing and enriching account and contact data, maintaining data quality, developing sales forecasting and pipeline models, identifying operational inefficiencies, and contributing to process improvements. The role partners with Sales, Marketing, Partnerships, Enablement, Finance, and other teams to optimize go-to-market execution. This is a six-month Northeastern University co-op or internship based in Boston.

Leads financial statement audits for digital assets and financial services clients, evaluating regulatory compliance, governance, risk management, and internal controls. Applies advanced auditing and technical accounting expertise to identify material misstatements and issue audit reports. Directs complex engagements, coaches diverse teams, manages client relationships, communicates findings, and reinforces professional, independence, and ethical standards. The role also involves data analysis and exploring AI and machine learning platforms to improve processes.

Provides technical account management for enterprise customers using Samsara’s IoT platform. Builds customer relationships, troubleshoots APIs, hardware, software, and AI technologies, manages significant incidents, aligns solutions with business needs, maintains account records, and serves as a trusted technical advisor. Collaborates with internal teams, supports customer growth, contributes to TAM team development, and provides occasional travel and after-hours coverage.

Provides analytics consulting to help clients translate complex data into business decisions. Develops statistical frameworks, guides analytical approaches, interprets findings, creates strategic recommendations, and communicates insights through presentations and deliverables. Partners with clients and cross-functional teams, manages project updates, mentors junior analysts, and supports solution implementation. Requires strong quantitative, communication, client-facing, and problem-solving skills, with interest in analytics, AI, and business strategy.

Leads CDW’s AI advisory consulting portfolio, including strategy, governance, operating models, adoption, prioritization, and roadmaps. Develops consulting methodologies, delivery frameworks, sales enablement, and thought leadership. Advises executives and customers, leads complex presales pursuits, shapes proposals and business cases, oversees delivery quality and risk, evaluates technical feasibility, and mentors consulting and presales teams.

Lead product strategy and execution for GitLab’s software planning capabilities as development increasingly involves AI agents. Define how user intent becomes actionable work, determine where automation versus human involvement is appropriate, connect planning to business priorities and budgets, and shape roadmaps with engineering and design. Share ownership of work items, boards, specifications, and portfolio planning while influencing senior leaders and guiding decisions in an evolving product area.

Leads and develops a regional sales engineering team supporting Zscaler’s core and generative AI portfolio. The role includes recruiting, mentoring, scaling discovery and proof-of-concept processes, partnering with sales and customers on solution design, and driving value-based selling. Candidates need cybersecurity and networking expertise, sales or systems engineering experience, team leadership skills, AI fluency, and the ability to operate in a matrixed go-to-market environment.

A 12-week unpaid fellowship providing hands-on training in Palantir Foundry and AIP. Participants attend live virtual instruction, complete technical projects, engage with Palantir engineers and leadership, and earn a professional certification. The program seeks builders with technical experience in software, data, automation, process improvement, prototyping, or related fields. Exceptional performers may interview for roles at Palantir or partner companies.

Advise prospects and customers on adopting GitLab’s AI-powered DevSecOps platform. Lead technical discovery, demonstrations, proofs of concept, workshops, solution architecture, and technical evaluations. Partner with sales teams to support pipeline and expansion, guide customers through software delivery, security, and cloud adoption, and communicate field feedback to product and engineering teams.

Leads technical pre-sales activities for GitLab’s AI-powered DevSecOps platform across Southern EMEA. Responsibilities include customer discovery, demonstrations, solution architecture, proofs of concept and value, workshops, tenders, audits, and value stream assessments. Advises customers on software development, CI/CD, security, and cloud practices; collaborates with Account Executives on account strategy; builds customer relationships; and communicates feedback to Product, Engineering, Sales, and Marketing.

The Corporate Sales Engineer supports pre-sales activities for CrowdStrike’s endpoint security platform. Responsibilities include partnering with Account Executives, demonstrating solutions, conducting proof-of-value engagements, explaining security concepts to technical and executive audiences, and serving as a technical bridge between prospects and internal teams. The role requires knowledge of endpoint security, operating systems, cloud platforms, Active Directory, malware analysis, scripting, virtualization, and customer-facing presentations. It is fully remote for U.S.-based employees with minimal travel.

Leads Takeda’s global Drug Substance Upstream process technology and innovation strategy. Owns technology roadmaps, innovation portfolios, manufacturing architecture, technology evaluation, industrialization, GMP deployment, and network-wide transformation. Partners with MSAT, Pharmaceutical Sciences, Manufacturing, Quality, Engineering, Digital, and Supply Chain teams to improve productivity, quality, sustainability, cost efficiency, and supply reliability. Builds external partnerships, advises senior leadership, and drives cross-functional innovation across a global biopharmaceutical manufacturing network.

Leads global process technology and innovation strategy for pharmaceutical manufacturing, overseeing roadmaps, innovation portfolios, technology industrialization, automation, digital and AI-enabled solutions. Partners across R&D, Manufacturing, Quality, Engineering, Supply Chain and Digital teams to deploy scalable technologies, improve performance and compliance, guide investments, build partnerships, and advise senior leadership.

Leads Takeda’s global PAT technology and innovation strategy across manufacturing. Owns the multi-year roadmap, innovation portfolio, technology standards, vendor partnerships, and deployment of analytical technologies, process models, automation, digital twins, and AI-enabled manufacturing solutions. Drives PAT industrialization from scouting through validated GMP implementation, including RTRT and advanced process control. Establishes data integrity, validation, regulatory, and lifecycle governance while delivering improvements in quality, yield, productivity, release time, and supply reliability. Develops organizational capability and coordinates cross-functional stakeholders across MSAT, manufacturing, quality, engineering, and digital technology.

Lead a high-volume Scale Customer Success team serving mid-market and large commercial customers. Build segmentation strategies, digital and AI-driven engagement programs, playbooks, and lifecycle workflows to improve retention, expansion, adoption, and CSM productivity. Hire and develop CSMs, manage risk using data, collaborate with Sales and cross-functional teams, and personally handle critical customer escalations.

Owns the roadmap and execution of global partner programs across sourcing, co-selling, services, adoption, renewals, and marketplace motions. Coordinates cross-functional stakeholders, improves partner journeys, designs incentives, maintains program documentation, creates enablement materials, and establishes performance reporting. This strategic individual contributor connects partner activity to pipeline, revenue, and customer outcomes while driving program adoption, compliance, and continuous improvement.

Leads enterprise AI strategy and implementation across the pharmaceutical clinical development lifecycle. Partners with clinical, data, regulatory, digital, and medical teams to develop AI-enabled solutions for trial design, operations, data review, decision-making, and regulatory readiness. Establishes governance and validation frameworks, guides AI product deployment, drives organizational adoption, and represents the company in regulatory and industry forums.

Manages strategic relationships with cybersecurity services retainer customers, improving preparedness, service utilization, and satisfaction. Coordinates with sales and delivery teams, conducts account reviews, documents follow-up actions, develops customer success plans, scopes services, and supports account expansion. The role also contributes to program improvements and applies cybersecurity, incident response, security framework, and AI knowledge to optimize customer outcomes.

Lead oncology and precision medicine expertise for real-world evidence products and services. Scope and validate clinical-molecular datasets, support biopharma research across discovery and clinical development, advise on biomarker-defined cohorts and trial designs, contribute to presales and solution development, train internal teams, and participate in scientific research and conferences.

Build and lead Hex’s Systems Integrator partner program from the ground up. Recruit, qualify, enable, and prioritize SI partners; develop joint go-to-market plans; generate partner-sourced pipeline and revenue; support enterprise deal cycles; and create scalable partner playbooks, incentives, and enablement. Collaborate closely with Sales, Solutions Engineering, Customer Success, Marketing, and cloud and data platform partners to drive customer adoption and company growth.

Drives enterprise sales growth across the Chicago territory by managing strategic accounts, generating pipeline, leading consultative sales cycles, and expanding customer adoption of GitLab’s AI-powered DevSecOps platform. Builds executive relationships, develops account plans, coordinates cross-functional teams and partners, manages negotiations and implementations, and contributes to forecasting, win/loss analysis, and go-to-market improvements.

Build and deploy AI-powered tools for Rula’s business and clinical teams by observing workflows, rapidly delivering production software, measuring usage and impact, and enabling teams to operate tools independently. The role requires privacy-by-design practices, rigorous AI evaluation, customer-centric discovery, and integration with complex legacy systems. Staff engineers may optimize LLM costs and quality while creating reusable building blocks for future teams.