Top Artificial Intelligence Jobs

Partners with Marketing and Customer Success Managers to identify opportunities, conduct consultative discovery, demonstrate AI and other solutions, and develop ROI-backed proposals. Qualifies and documents opportunities for CSM-led closing, ensures seamless customer handoffs, and shares customer and market insights with Marketing and Product. The role requires translating AI capabilities into business value, generating pipeline, and communicating effectively with technical and executive audiences.

Lead enterprise AI and automation deployments from validated prototypes through secure, supported production. Manage the AI deployment lifecycle, technical standards, architecture patterns, vendor and platform strategy, governance, security, monitoring, and operational resilience. Partner with Information Technology and operating brands to integrate solutions, establish production ownership, oversee support, and evaluate emerging AI technologies. Lead technical employees, manage budgets, develop talent, and represent AI in enterprise governance forums.

Lead product marketing for Glean Agents by developing go-to-market strategies, positioning, messaging, campaigns, and enablement. Partner with sales, marketing, product, and customer-facing teams to increase awareness, demand, adoption, and competitive differentiation. Represent customer and market needs, guide product iteration, and create compelling external content while measuring results and operating effectively in a fast-paced environment.

Leads Salesforce’s global influencer strategy, building relationships with influential technology, business, AI, media, creator, and customer voices. Develops ongoing engagement programs, shapes narratives with product and communications teams, supports CEO visibility, measures brand and business impact, manages reputational risk, and builds a high-performing internal and agency team. The role requires executive-level leadership, deep technology and influencer ecosystem expertise, and experience creating scalable, measurable programs.

Leads site-wide continuous improvement initiatives in regulated pharmaceutical manufacturing. Manages Lean and Six Sigma projects to improve safety, quality, delivery, cost, and workforce performance; coaches teams on GPS standards, structured problem solving, and performance management; uses data and digital tools to identify improvements; and partners cross-functionally to implement, standardize, and sustain operational gains.

Lead enterprise AI strategy by prioritizing opportunities, developing business cases and roadmaps, shaping AI operating models, and establishing portfolio governance and value measurement. Partner with Product, Engineering, Data, Risk, Legal, Compliance, and business teams to ensure responsible, secure, feasible execution. Translate complex AI topics into executive recommendations while tracking emerging technologies, adoption, controls, and strategic outcomes.

Leads Microsoft Copilot product marketing focused on creating product videos, demos, live experiences, event presentations, and field enablement assets. Directs a Demo Center of Excellence, drives innovation and performance measurement, partners with executives, and leads, coaches, and develops product marketing teams. The role also shapes product roadmaps, go-to-market strategies, and customer adoption initiatives for AI and IT solutions.

Leads nonclinical safety and toxicologic pathology activities supporting drug development from discovery through marketed products. Interprets and integrates anatomic and clinical pathology findings, contributes to safety strategies, regulatory interactions, submissions, mechanistic studies, and cross-functional project teams. Provides scientific leadership, mentors junior scientists, represents pathology externally, and supports diverse therapeutic areas and molecular modalities.

Leads enterprise AI portfolio management and transformation by prioritizing use cases, coordinating business, product, data, and engineering teams, tracking milestones and risks, establishing governance, and reporting progress and value to executives. The role also supports AI adoption, change management, organizational enablement, vendor coordination, and evaluation of emerging AI tools and workflows.

Leads a 45-person employee organization and 50 contractors responsible for USAA’s telematics application strategy, architecture, engineering delivery, vendors, budgets, security, compliance, and modernization. Oversees cloud, mobile, data, AI, machine learning, IoT, and connected-vehicle capabilities supporting insurance pricing, underwriting, claims, fraud detection, and member engagement. Partners with business and technology executives on roadmaps, technical debt reduction, SDLC controls, risk management, and ecosystem relationships.

Leads and develops a SaaS application support team, overseeing queue operations, metrics, escalations, and customer service delivery. Implements AI agents and large language models to automate support workflows and improve efficiency. Partners with Engineering, Product, and Sales to advocate for customers and drive product enhancements. Analyzes support trends, optimizes processes, and establishes service standards while fostering continuous team development.

Leads enterprise Responsible AI governance, overseeing AI and Generative AI risk assessments, fairness testing, model evaluations, monitoring, controls, and lifecycle governance. Advises business, technical, legal, compliance, and risk stakeholders; develops scalable governance frameworks; and evaluates emerging technologies such as foundation models and agentic AI. Drives controls for monitoring, human oversight, intervention, containment, and system shutdown while balancing regulatory obligations, risk management, innovation, and business value.

Chief of Staff to the CEO responsible for driving company priorities, building the organization’s operating cadence, managing KPI reporting, leading cross-functional special projects, and increasing executive leverage. The role requires turning ambiguous problems into measurable plans, coordinating leaders and external partners, deploying AI effectively across operations, and improving organizational efficiency in a high-growth B2B SaaS environment.

Leads global workplace strategy and operations programs, improving processes, governance, workflows, reporting, and cross-functional execution. Evaluates and implements AI tools and automation, establishes operating rhythms and KPIs, coordinates regional and functional stakeholders, manages strategic initiatives, and delivers executive-ready updates. The role also supports workplace process standardization, change adoption, and implementation of global operating models across regions.

Support national security clients by assessing AI and ML capabilities, analyzing mission environments, designing AI adoption roadmaps, developing operational frameworks, and creating mission-focused demonstrations. The role evaluates AI risks and vulnerabilities, supports exercises and wargaming, collaborates with technology and research partners, presents solutions to leadership, and provides data-driven recommendations for implementing mission AI capabilities.

Build and maintain data pipelines, interactive dashboards, and visualizations using Foundry, Power BI, Tableau, or Qlik. Analyze data quality, structures, and relationships; perform transformations and communicate insights to stakeholders. Collaborate with business analysts and users to clarify reporting needs. The role may also apply data science, AI, and machine learning techniques while supporting DoD and Army data systems.

Leads market-facing pre-sales and solutioning for Finance AI offerings across Accounts Payable, Accounts Receivable, and Record-to-Report. Owns pipeline, forecasting, executive CFO-organizational engagement, discovery, business cases, proof-of-concepts, proposals, RFPs, and deal shaping. Represents the company through thought leadership and industry engagement while translating AI capabilities into measurable finance outcomes.

Leads product security initiatives focused on securing AI-assisted software development, AI-enabled products, and agentic systems. Designs scalable security controls, improves vulnerability detection and remediation, partners with architecture, engineering, product, and platform teams, and provides technical direction and mentorship across PayPal.

Edits, standardizes, and releases Bluetooth specifications, test documentation, and related technical content. Collaborates with subject-matter experts, working groups, internal teams, and global member organizations to ensure clarity, consistency, and quality. Supports content planning, scheduling, information architecture, drafting guidelines, consensus building, and process improvements. The role also contributes to content strategy, complex documentation projects, candidate interviews, and responsible AI adoption.

Provides technical leadership and pre-sales engineering support for complex networking, security, data center, AI, and cloud solutions. Partners with sales teams and customers to gather requirements, design architectures, develop configurations and proposals, respond to RFPs, scope statements of work, conduct presentations, and support opportunity development. Requires customer-facing communication, OEM certifications, technical solution design, and extensive pre-sales experience.

Supports mission-critical data science initiatives by collecting, transforming, and analyzing complex datasets; building ETL, data quality, machine learning, and analytics pipelines; and applying Python, R, Spark, SQL, TensorFlow, and PyTorch. Collaborates in Agile and DevOps environments using distributed technologies such as Kubernetes and Docker. Troubleshoots data and pipeline issues, communicates insights to technical and non-technical stakeholders, and contributes to modern cloud-native mission capabilities.

Provides legal counsel on commercial transactions, technology agreements, AI governance, privacy, cybersecurity, compliance, and corporate governance. Drafts and negotiates SaaS, cloud, software, data processing, vendor, marketing, and partnership agreements; develops contract templates and policies; advises on GDPR, CCPA/CPRA, data protection, incident response, and emerging technology regulations; and supports risk assessments, investigations, training, and enterprise governance.

Drive enterprise sales growth across a defined region by building account strategies, developing pipelines, closing complex cybersecurity deals, and expanding strategic accounts. Sell Noma’s AI security platform to CISOs and AI security leaders, build channel and cloud partnerships, and collaborate with Product, Marketing, and leadership. The role requires expertise in enterprise security software sales, complex procurement processes, category creation, formal sales methodologies, and six-figure, multi-stakeholder deals.

Provides global technical leadership for digital AI standards, certification, assurance, training, advisory, and assessment services. Develops AI governance and lifecycle assurance methodologies covering predictive and generative AI, LLMs, agents, cloud AI, model risk, testing, transparency, fairness, privacy, security, robustness, and operational resilience. Translates regulations, standards, emerging technologies, and customer needs into scalable offerings while engaging customers, regulators, standards bodies, and internal stakeholders.

Designs, prototypes, and implements AI-enabled solutions that improve productivity, automation, and decision-making across engineering and business functions. Evaluates AI tools and platforms, integrates capabilities into existing workflows and development processes, and supports organizational adoption through guidance and demonstrations. Collaborates with engineering, security, compliance, and business teams to deliver reliable solutions for sensitive and classified environments while advising on AI trends, security, compliance, and adoption strategies.