Top Artificial Intelligence Jobs

Leads controllership and G&A accounting, monthly close, financial reporting support, and internal controls. Drives finance transformation through Oracle Fusion, automation, AI, analytics, process standardization, and close modernization. Partners with Finance, Technology, Audit, Treasury, Procurement, and external auditors to improve scalability, governance, accuracy, and reporting. Provides leadership, coaching, and development for accounting teams while supporting U.S. GAAP compliance and operational efficiency.

Designs and develops AI-enhanced corporate sales training, including microlearning, e-learning, web-based training, and virtual or in-person instructor-led programs. Conducts needs assessments, collaborates with subject matter experts, creates facilitator and student materials, manages multiple projects, evaluates training effectiveness, and improves learning solutions. The role requires expertise in adult learning, instructional design models, Articulate 360, project management, and alignment of training with sales performance goals.

Analyzes, cleanses, integrates, and validates data across Oracle, Salesforce, Dun & Bradstreet, and ZoomInfo. Uses machine learning, AI scoring, forecasting, and reporting tools to improve prospect qualification, territory equity, sales coverage planning, and quota development. Maintains data integrations, evaluates data quality, supports governance and AI ethics, and presents statistical insights to sales leadership and management.

Leads global engineering process optimization across product lines, improving efficiency, quality, reliability, cycle time, and productivity. Standardizes DFSS, requirements traceability, FMEA, design quality, and continuous improvement practices. Deploys AI-enabled engineering tools and digital technologies, aligns workflows with PLM and engineering systems, establishes performance metrics, and drives adoption across global teams. The role is onsite in Westerville, Ohio, or Novi, Michigan, with 10–20% domestic and international travel.

Leads strategic sourcing and IT category management for infrastructure procurement, including hardware, data centers, networks, servers, laptops, telephony, and CCaaS. Develops multi-year category strategies, leads RFx processes and negotiations, analyzes spend and markets, drives savings and risk mitigation, and partners with Finance, Legal, IT, Contracting, and Operations. The role also advances automation, analytics, and AI in sourcing workflows while advising executives and developing sourcing talent.

Leads technical program integration for the NCCT intelligence-targeting program, coordinating contractors, vendors, government stakeholders, and technology providers. Oversees software and system capability planning, development, testing, deployment, requirements translation, technical evaluations, budgets, schedules, and contract documentation. Applies data engineering, software architecture, containerization, orchestration, messaging, and API integration expertise to resolve complex integration challenges. Requires technical team leadership, operational intelligence experience, DoD standards knowledge, TS/SCI clearance, and travel as needed.

Manage full-cycle recruiting for technical and professional AEC roles. Responsibilities include sourcing candidates, screening and interviewing, coordinating hiring processes, evaluating qualifications, researching compensation, maintaining ATS records, supporting offers, developing talent pipelines, and improving recruiting processes. The role partners with hiring managers and senior recruiting staff while using AI, automation, analytics, and standard recruiting tools to improve efficiency and candidate experience.

Oversee project accounting, financial performance, revenue forecasting, billing accuracy, profitability, and reporting. Administer Deltek Vantagepoint, establish project setup governance, improve financial controls, and lead system enhancements, training, automation, and AI-enabled process improvements. Partner with project managers and leadership to identify financial risks, improve forecasts, support audits, and strengthen project accounting practices.

Leads the design, development, deployment, and governance of enterprise AI and machine learning systems. Builds production generative AI applications using LLMs, RAG, copilots, and automation; develops scalable pipelines, APIs, integrations, predictive models, and analytics. Partners with stakeholders to prioritize AI use cases, ensures model security and monitoring, evaluates emerging tools, drives rapid prototyping, documents solutions, and mentors engineers.

Defines enterprise technical direction, architecture patterns, integration standards, and reusable platform capabilities. Leads AI-driven legacy modernization, AI-enabled SDLC practices, and responsible AI governance. Establishes architecture and engineering standards, resolves cross-functional design issues, influences technology strategy, and mentors engineering teams. Requires expertise in distributed systems, large-scale architectures, APIs, microservices, cloud, CI/CD, and DevOps.

Lead the vision, strategy, roadmap, platform definition, and go-to-market for LaunchDarkly’s end-to-end data products, spanning SDK ingestion, data infrastructure, analytics, observability, experimentation, and AI-powered experiences. Partner cross-functionally with engineering, design, marketing, sales, and customer teams; advocate for customers; ensure reliable data foundations; monitor industry trends; and mentor other product managers. Candidates need substantial product or data-intensive engineering experience and strong knowledge of modern data architectures.

Leads the Business Intelligence, reporting, analytics, and data governance functions. Manages and develops the BI team, oversees enterprise dashboards and KPI frameworks, ensures data quality and governance, delivers business insights, supports data integration and warehouse initiatives, and enables AI and advanced analytics. Partners with cross-functional leaders to transform enterprise data into actionable recommendations for operational, financial, sales, inventory, customer, and strategic decision-making.

Leads and grows an engineering team building new products from concept through commercial launch. Partners with product leadership to translate market hypotheses into architectures, makes build-versus-buy decisions, owns technical execution, and improves reliability, observability, and scalability. The role combines hands-on technical leadership, people management, hiring, career development, and high-ambiguity 0-to-1 product development.

Leads enterprise technology and innovation strategy, cybersecurity, business continuity, AI adoption, Microsoft 365, vendor and MSP relationships, technology budgets, executive reporting, KPIs, and long-term roadmaps. Partners with executive leadership to connect technology investments to growth, efficiency, customer experience, and competitive advantage. Also evaluates emerging technologies and may support SaaS platform management and M&A integration.

Own and grow strategic global hyperscale accounts across cloud, AI, and data center customers. Develop global account strategies, build executive relationships, coordinate complex international sales opportunities, expand share of wallet, manage pricing and commercial agreements, and negotiate supply contracts. Partner with R&D, engineering, product, and procurement teams to secure specification wins and commercialize Brady solutions across customer value chains.

Conduct original philosophical and AI-alignment research, identify important research questions, connect conceptual analysis with empirical and technical work, design experiments and evaluations, collaborate across disciplines, and communicate findings through papers, reports, presentations, and external engagement. Depending on seniority, the role may also define research areas, shape the agenda, lead collaborations, and mentor researchers.

Leads global Alzheimer's disease commercial strategy, pipeline assessments, market development, launch planning, and commercialization initiatives. Develops opportunity profiles, patient journeys, segmentation strategies, brand plans, and value-access approaches. Partners cross-functionally with R&D, Medical, Market Access, Pricing, Advocacy, and country teams, while engaging neurologists, patient organizations, thought leaders, and external stakeholders. Supports biomarker adoption, disease recognition, competitive assessments, strategic planning, and local market execution across the global Alzheimer's franchise.

Manages revenue-cycle operations for a law firm by monitoring work in progress and accounts receivable, accelerating billing and collections, preventing budget overruns, and escalating aging or complex matters. The role produces financial reports, analyzes billing data, supports process improvements and automation, ensures compliance with client requirements, and collaborates with attorneys, practice managers, finance teams, clients, and executive leadership.

Leads a global 60-person BDR organization responsible for inbound and outbound pipeline generation across public-sector, enterprise, and destination-marketing segments. Develops go-to-market strategy, improves conversion and pipeline velocity, implements AI and sales technologies, establishes performance systems, and partners with Sales, Marketing, Product Marketing, Communications, and Revenue Operations. Oversees playbooks, qualification, coaching, technology adoption, cross-functional alignment, and talent development.

Leads firmwide legal AI initiatives by identifying use cases, building and implementing AI agents, evaluating emerging solutions, supporting pilots, resolving technical issues, and driving adoption. Collaborates with attorneys, IT, vendors, and leadership to assess risks, document technical limitations, deliver training and content, manage testing milestones, and provide recommendations based on pilot results and use-case data.

Leads Granicus’s end-to-end AI go-to-market strategy, including commercialization, pipeline generation, strategic enterprise deals, customer value realization, and repeatable sales motions. Builds and manages AI Advisors, Architects, and Value Engineers while partnering across Sales, Product, Marketing, Services, and Customer Success. Establishes performance metrics, develops market feedback loops, enables the field, and translates AI capabilities into differentiated customer and business outcomes.

Generates demand and qualified opportunities for AI solutions serving government organizations. Conducts high-volume discovery calls, identifies AI and process-automation opportunities, progresses prospects through qualification, and scopes pre-sales engagements. Partners with account executives, BDRs, marketing, revenue operations, and AI specialists while maintaining Salesforce pipeline accuracy. Advises customers on AI use cases, surfaces market insights, and supports bookings across assigned territories.

Staff Product Manager responsible for importing, modeling, governing, and activating contract data across Ironclad’s platform. The role defines data foundations, knowledge graph capabilities, AI agents, integrations, schemas, APIs, quality metrics, lineage, and trust controls. This leader partners across Engineering, AI, Design, Search, Contract Understanding, and business teams to deliver context-aware experiences that support search, analytics, workflows, predictions, recommendations, and automated actions.

Participate in a 12-week technical internship through a software engineering, AI/ML, cloud and DevOps, cybersecurity, data, or research focus area. Interns will contribute to technical projects, participate in Agile ceremonies, research and test solutions, collaborate with mentors and cross-functional teams, document progress, and present a final capstone project. The role is primarily remote with one required onsite summit in Bridgeport, West Virginia.

Lead Hyperbolic Labs’ global marketing function, building the brand and communications strategy for its AI cloud, GPU marketplace, and inference services. Develop product positioning, messaging, and storytelling for technical and enterprise audiences; use quantitative metrics to improve acquisition and engagement; partner with engineering and product teams; and build, recruit, and lead the marketing organization. Manage ecosystem partnerships, community advocates, channel growth, and creative experimentation.