Top Artificial Intelligence Jobs

Own and grow a named enterprise territory by prospecting, running structured pilots, and closing multi-year agreements with large plaintiff law firms. Sell business outcomes to firm owners and executives, manage pipeline and forecasts in HubSpot, attend conferences and client meetings, and partner with Customer Success on account expansion. The role requires enterprise quota-carrying experience, complex deal management, strong pipeline generation, pilot execution, and regular travel.

Leads computational science and AI strategy across a national laboratory division focused on nuclear energy and national missions. Develops AI models, agentic workflows, scientific software, and computational tools using high-performance computing infrastructure. Secures research funding through competitive proposals, guides responsible AI development, mentors multidisciplinary staff, advances partnerships, and communicates organizational capabilities to government, academic, industry, and laboratory stakeholders.

Leads two centers of excellence focused on intelligent automation, data insights, and advanced analytics. Develops enterprise AI, automation, data governance, infrastructure, privacy, security, and responsible AI strategies. Oversees platform and product delivery, data quality, regulatory compliance, AI ethics, records management, and information lifecycle controls. Partners with senior technology leaders, mentors staff, and coordinates with Cybersecurity. Requires extensive leadership experience, enterprise AI governance expertise, and eligibility for a DOE Q security clearance.

Leads central data strategy within Operations Risk and Regulatory Control by establishing governance routines, improving data quality and lineage, enabling automation and AI, and coordinating cross-functional delivery. Manages opportunity backlogs, standardizes reusable data patterns, oversees access controls and metrics, supports tool adoption and training, and communicates progress to stakeholders. The role requires strong operational risk, compliance, data management, project coordination, stakeholder engagement, and problem-solving expertise within financial services.

Supports internal audits, including SOX 404 compliance testing, operational and risk-based reviews, internal control evaluations, audit documentation, working papers, analytics tools, and formal reporting. The intern gains exposure to business processes, critical risk identification, and company operations while collaborating with audit staff and business leaders.

Leads revenue enablement for JFrog’s Americas sales organization by building sales excellence programs, partnering with senior sales leadership, facilitating workshops, implementing AI-powered coaching, standardizing Challenger Sale and MEDDICC methodologies, and translating technical product roadmaps into sales assets. The role measures enablement ROI, pipeline growth, win rates, and sales velocity while delivering educational events and field academies for technical audiences.

Leads digital transformation of procurement through technology, automation, and AI. Owns the source-to-pay technology roadmap, procurement platform strategy, tool implementations, KPI and value tracking, change management, training, governance, and adoption. Partners with Procurement, IT, Data & Analytics, Finance, suppliers, and global stakeholders to improve sourcing, supplier management, contracts, purchasing efficiency, cost optimization, and risk management.

Manages and grows an assigned customer portfolio while maintaining sales and profitability. Generates new business through outbound prospecting, researches and qualifies leads, negotiates pricing within guidelines, and advances opportunities through the sales pipeline. Serves as the primary customer contact, maintains CRM records, monitors market and competitor activity, and collaborates with account management, customer service, and technical support to resolve issues and improve service. This office-based role requires occasional travel.

Leads digital transformation of procurement through technology, automation, and AI. Owns the source-to-pay technology roadmap, drives procurement platform selection and implementation, establishes performance metrics, manages change and adoption, and oversees governance for tools, data, and AI. Partners with Procurement, IT, Finance, Data & Analytics, suppliers, and global stakeholders to improve efficiency, cost savings, cycle times, and risk management.

Own BI product management for Quote-to-Cash and Order-to-Cash financial systems. Identify operational pain points, translate them into BI, AI, and machine learning opportunities, author PRDs and roadmaps, define business requirements, and partner with delivery and engineering teams. Ensure quoting, deal structuring, billing, contract, and revenue-recognition data flows accurately into downstream data products while aligning Sales, Legal, Accounting, Product, and Finance stakeholders.

Leads and develops a team of pre-sales engineers delivering technical demonstrations, proofs of concept, integration strategies, and enterprise solution architectures. Partners with sales leadership on qualification, account planning, territory strategy, and revenue outcomes. Influences product direction through customer feedback and represents the platform in executive briefings and industry events. Requires extensive enterprise software pre-sales experience, technical architecture expertise, leadership experience, and up to 70% travel.

Owns BI product management for Quote-to-Cash and Order-to-Cash financial processes. The role identifies operational friction, translates finance and commercial data needs into BI, AI, and machine learning opportunities, and creates PRDs, roadmaps, and functional requirements. It partners with finance, sales, legal, product, delivery managers, and engineering teams to ensure quoting, contracting, billing, and revenue recognition data is accurately represented in downstream products and dashboards.

Own the end-to-end architecture, development, deployment, evaluation, and operations of AI and machine learning systems. Build predictive ordering models, agentic workflow copilots, retrieval and evaluation infrastructure, safety guardrails, and responsible AI practices. Prioritize AI initiatives based on business outcomes, establish model governance and production standards, advise product and engineering leadership, and mentor experienced contributors.

Lead enterprise network security architecture, governance modernization, and cybersecurity strategy across on-premises, hybrid, and multi-cloud environments. Design automated governance capabilities using Policy-as-Code, Process-as-Code, workflow optimization, and AI-assisted security analysis. Establish measurable methods for evaluating controls, policy compliance, risk, and governance maturity while influencing executives, architects, engineers, and business stakeholders. The role is fully onsite Monday through Friday and requires approximately 10% travel.

Lead complex HHS technology programs spanning modernization, software development, cloud, data, cybersecurity, and digital services. Manage scope, schedules, staffing, finances, risks, contractual deliverables, and multidisciplinary teams while maintaining customer relationships and compliance. Support business development through HHS customer engagement, opportunity identification, capture planning, solution development, teaming, proposal reviews, and pipeline growth.

Own account portfolio growth and pipeline, lead end-to-end complex multi-region digital deals, collaborate with internal and external stakeholders, align product roadmaps with customer insights, and maintain CRM hygiene while selling AI-enabled data management solutions into healthcare and life sciences.

Analyze structured and unstructured data to uncover insights, develop predictive models and algorithms, and create visualizations that support client decision-making. The role involves data exploration, cleaning, mining, statistical analysis, machine learning, artificial intelligence, and natural language processing across public- and private-sector challenges. Candidates collaborate with clients, use programming and distributed-computing tools, and must hold a Secret clearance and bachelor’s degree.

Develop algorithms, predictive models, quantitative analyses, and visualizations using structured and unstructured data. Collaborate with clients to understand business and mission needs, explore and clean complex datasets, apply statistical and machine learning techniques, and convert disparate information into actionable insights. The role supports applications including fraud detection, cancer research, and national intelligence.

Leads growth engineering for Hiya’s web presence, translating marketing strategy into high-converting experiences. Responsibilities include migrating Webflow to a headless CMS, architecting React and Next.js systems, optimizing performance and SEO, implementing analytics and experimentation, integrating AI and third-party APIs, and scaling localized websites across global markets. The role owns website KPIs, attribution, conversion optimization, accessibility, and collaboration across marketing, product, CRM, and PLG initiatives.

Leads ServiceNow’s global data and analytics go-to-market strategy to drive revenue growth and optimize performance. Collaborates with Product, Marketing, Sales, Finance, Strategy, and Industry teams; leads annual GTM planning; develops growth business cases; represents sales and GTM efforts; and serves as the data and analytics expert supporting agentic AI initiatives. Builds executive relationships, influences stakeholders, drives enterprise sales excellence, and enables global matrixed teams to exceed quotas.

Own strategic customer relationships and commercial opportunities for Arm silicon across Physical AI and Edge AI markets. Develop demand, identify lighthouse customers, progress opportunities from evaluation through design wins and deployment, maintain pipeline forecasts, gather market and product insights, and coordinate cross-functional teams. Engage senior business and engineering leaders while communicating Arm’s value in performance, power efficiency, AI capability, security, software ecosystem, and system economics.

Manage the post-sale lifecycle for strategic platform partners, driving adoption, retention, expansion, and value realization. Coordinate API/SDK solution development with customer and internal engineering teams, lead executive business reviews, analyze performance metrics, and support partner enablement through training, collateral, and success stories. Improve customer success processes, collaborate with Marketing on engagement, and provide insights to Product. The role requires enterprise relationship management, technical understanding, and flexible scheduling across U.S. time zones.

Owns day-to-day operations for an early-stage industrial robotics company, including sourcing materials, negotiating with suppliers, issuing and tracking purchase orders, coordinating freight, managing recruiting logistics, supporting onboarding, collecting vendor documentation, coordinating invoices, and maintaining operational systems. The role requires exceptional organization, persistence, resourcefulness, commercial judgment, phone-based follow-up, and comfort solving ambiguous problems independently.

Build and support AI-powered workflows and automation for Gusto’s go-to-market teams. The role contributes to GTM AI strategy, evaluates models and vendors, integrates Salesforce and other GTM systems with data warehouses, and develops evaluation frameworks measuring reliability, latency, cost, and business impact. It also coordinates cross-functional implementation, training, adoption, and reusable guardrails across Sales, Marketing, and Partner teams.

Leads development of secure, scalable data and AI platform solutions, including batch and real-time pipelines, ETL/ELT workflows, data modeling, governance, cataloging, lineage, quality frameworks, and semantic layers. Builds Agentic Autonomous Lakehouse capabilities for governed self-service provisioning and operational optimization. Partners with technical and business stakeholders, reviews production code, improves system stability, evaluates architectures and vendors, and promotes emerging technologies across engineering communities.