Top Artificial Intelligence Jobs

Manage strategic B2B security-solution partners throughout onboarding and ongoing engagement. Monitor adoption, satisfaction, performance, service levels, and revenue; lead governance and executive business reviews; coordinate cross-functional teams; drive renewals, expansion, and product adoption; and advocate for partner needs. The role requires strong analytics, communication, relationship management, and the ability to translate partner insights into scalable growth initiatives.

Leads the AI solutions portfolio for HR and workforce offerings, including roadmap development, commercialization, go-to-market enablement, pricing, partnerships, client engagement, and performance management. Drives enterprise AI adoption and responsible AI practices while translating research and emerging capabilities into market-ready products. Partners with engineering, sales, operations, finance, legal, compliance, and executive stakeholders to deliver measurable customer and business outcomes.

Leads AI-enabled HR strategy, solution development, commercialization, and client growth. Advises CHROs and senior executives, develops workforce use cases and roadmaps, leads sales pursuits, integrates product, engineering, data science, legal, and compliance teams, and embeds responsible AI, privacy, fairness, and governance into enterprise HR solutions.

Leads the design, development, deployment, and operationalization of enterprise AI/ML, generative AI, and automation solutions. Provides technical leadership across architecture, engineering practices, evaluation, monitoring, governance, security, and responsible AI. Partners with cross-functional stakeholders, mentors engineers, establishes reusable standards, evaluates production readiness, and ensures scalable, reliable, compliant, and cost-effective delivery of AI/ML capabilities.

Define the future-state architecture and strategic roadmap for global Source-to-Pay platforms. Lead business architecture and transformation initiatives, align business and technology priorities, guide S2P application integration, and identify AI and automation opportunities. Partner with senior stakeholders, product owners, engineers, and external providers to establish governance, manage dependencies, and deliver scalable solutions across sourcing, contracting, purchasing, supplier management, invoicing, and payments.

Own end-to-end enterprise sales for pharmaceutical accounts in the US, including prospecting, pipeline development, discovery, demonstrations, executive presentations, negotiations, and closing multi-year contracts. Build relationships with pharmaceutical product development, manufacturing, and MSAT stakeholders. Collaborate with founders, sales engineering, and marketing on pilots, proof-of-concepts, campaigns, forecasting, and go-to-market strategy. Travel up to 25%, attend industry events, and maintain CRM and pipeline records.

Research and improve voice AI models by identifying production weaknesses, defining evaluation metrics, curating data, fine-tuning deep learning systems, and rapidly shipping solutions. The role focuses on speech-to-text, text-to-speech, voice agents, model evaluation, customer-driven research, and production machine learning systems.

Own end-to-end product execution for AI-native experiences, from concept through launch. Shape the roadmap using customer, market, competitive, and business insights; collaborate with Design, Research, Engineering, Marketing, and Analytics; iterate rapidly based on data; and define agentic product experiences that help small businesses automate administrative work.

Lead Micron’s Source-to-Pay AI Workflow Tower, shaping strategy and delivering agentic workflows from requirements through production deployment and scale. Coordinate procurement, finance, IT, architecture, data, and external delivery teams across a matrixed program. Manage roadmaps, backlogs, sprints, RAID logs, design decisions, dependencies, governance, compliance, adoption, executive reporting, and benefits realization while ensuring AI security, SOX controls, and operating-model readiness.

Own and expand an enterprise CPG client relationship by identifying AI opportunities across operations, supply chain, and commercial workflows. Lead discovery, sell follow-on work, manage SOWs, pricing, margins, and delivery quality, and oversee embedded delivery teams. Build relationships with multiple buying centers, maintain accountability for business outcomes, and develop reusable platform capabilities. The role requires regular client-site presence, strong commercial ownership, recent AI or data deployment experience, and 8+ years in enterprise technology delivery or consulting.

AI Demand Intelligence Intern supporting Atlassian’s Global Demand Campaigns team. Responsibilities include enriching account and prospect data, applying propensity and next-best-action models, building a human-in-the-loop AI nurture agent, generating seller-ready account briefs, delivering Slack notifications, and measuring campaign impact through a controlled pilot. The intern will collaborate with demand generation, product marketing, sales, and marketing operations teams.

Own financial planning, forecasting, budgeting, and modeling for Atlassian’s AI infrastructure and token spend. Partner with Engineering, Product, Business Operations, and Finance leadership to evaluate AI economics, usage, vendor pricing, infrastructure requirements, COGS, unit economics, and gross margins. Drive scenario analysis, long-range planning, process improvements, and scalable financial models while translating complex technical and financial data into actionable executive insights.

Develop and productionize machine learning systems for search, retrieval, ranking, recommendations, conversational experiences, and AI agents. Own projects across the ML lifecycle, build evaluation datasets and benchmarks, conduct offline and online evaluations, analyze model quality, and improve system performance. Design scalable architectures addressing reliability, latency, privacy, and cost. Collaborate across product and engineering teams, communicate technical decisions, mentor engineers, and contribute to ML best practices.

Develops AI products and business simulations for high-stakes decision-making. Partners with principals as a core product owner to define, design, and build new products; researches novel simulation techniques; and implements and evaluates state-of-the-art business simulations. The role is highly autonomous, in-person in San Francisco, and combines product, engineering, and research responsibilities.

Manage end-to-end virtual, hybrid, and in-person events, including budgeting, vendor coordination, team leadership, execution, attendee follow-up, reporting, and metrics analysis. Partner with marketing on event promotion and brand consistency, improve event processes, research emerging technologies, and provide product feedback. The role requires managing multiple concurrent events, resolving issues, negotiating budgets, and supporting time-sensitive needs.

Leads the enterprise digital procurement roadmap, technology enablement, process automation, AI adoption, and transformation delivery across the Source-to-Pay lifecycle. Translates procurement requirements into technology capabilities, coordinates cross-functional implementation teams, establishes governance and controls, drives user adoption, and monitors benefits, KPIs, digital maturity, and process performance. Partners with Procurement, IT, Finance, Legal, Security, and vendors to modernize procurement operations and transition repeatable work toward automated execution.

Lead end-to-end data science projects involving causal inference, experiments, statistical modeling, machine learning, political behavior, and online narratives. Build scalable data pipelines and production-quality Python code from messy datasets, rigorously evaluate models, collaborate with researchers and engineers, and contribute methods and technical direction. Mentor junior modelers while translating ambiguous questions into practical, deployable solutions.

The Data Scientist I will clean and structure messy datasets, engineer features, run exploratory and numerical analyses, fit and evaluate statistical and machine learning models, and support experiments. The role involves writing documented Python code, monitoring model performance, and collaborating with researchers and engineers. This early-career position offers mentorship while progressively increasing ownership of modeling projects involving online narratives, public opinion, AI, machine learning, and causal inference.

Serve as Adapt’s first dedicated product marketer, developing positioning, researching customers and competitors, launching product releases, creating demos and sales materials, supporting open-source adoption, and shaping packaging. Partner with the CEO, Product, Engineering, and Sales teams to translate complex AI products into clear messaging and measure the impact of launches on usage and revenue. This is an in-person role in San Francisco.

Leads Green Plains' enterprise technology organization, strategy, governance, applications, infrastructure, cybersecurity, data protection, project delivery, vendor management, and digital transformation. Partners with executives and business functions to optimize technology investments, improve processes, strengthen resilience, enable automation, and deliver measurable business value. Builds and develops a high-performing IT team while overseeing budgets, enterprise systems, operational support, risk management, and emerging technology adoption.

Leads enterprise cybersecurity strategy, governance, risk management, compliance, security operations, incident response, business continuity, identity and access management, and third-party risk. Advises executive leadership and the Audit Committee, builds the security organization, and establishes responsible AI governance, security controls, and employee education. The role requires executive communication, oversight during major incidents, and leadership of security programs in complex, regulated, or industrial environments.

Analyzes complex data sets, develops Python-based data solutions and pipelines, and applies advanced analytics to support client strategy and business performance. Designs dashboards and visualizations, collaborates with cross-functional teams, manages stakeholders, improves data quality, and builds client relationships. The role also involves solving complex business challenges, identifying industry trends, and delivering high-quality work within PwC’s Risk & Regulatory practice.

Leads finance partnership for the Technology organization, advising the CITO and senior technology leaders on budgeting, forecasting, cost containment, investment governance, accounting, and value realization. Oversees technology spending, cost allocation, cloud and AI financial governance, business cases, KPI reporting, vendor decisions, and transformation investments. Partners across Finance, Procurement, Legal, Accounting, and Technology to align investments with corporate strategy and financial objectives.

Leads HCP precision marketing for the RSV vaccine franchise, including integrated brand planning, audience segmentation, campaign execution, content strategy, media activation, agency management, analytics, KPI tracking, and optimization. The role develops branded and unbranded omnichannel campaigns, leverages research and behavioral insights, coordinates MLR review, and applies GenAI, personalization, sequencing, and A/B testing to improve engagement and vaccination outcomes.

Leads consulting engagements focused on customer sales and service strategies, sales operations, customer engagement, and revenue growth. Analyzes client needs, guides teams through strategy implementation, identifies business transformation opportunities, promotes AI-enabled sales processes, manages stakeholder relationships, and coaches high-performing teams.