Top Artificial Intelligence Jobs

Provides strategic technical consulting to enterprise customers using Atlassian Cloud, AI, and related solutions. Responsibilities include solving business challenges, developing prescriptive technical guidance, supporting cloud migrations, designing AI proof-of-concept solutions, promoting service expansion, advocating for customer needs, and collaborating across internal teams. The role requires customer-facing expertise, strong knowledge of Atlassian ecosystems and SaaS architectures, and up to 30% domestic and international travel.

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.

Lead product design for Atlassian’s AI experiences, including Rovo, across Jira, Confluence, Loom, and other products. Develop complex enterprise software experiences, apply AI to search, chat, and agent workflows, align customer and business needs, facilitate cross-functional design decisions, and improve design processes and methodologies to accelerate product adoption and team velocity.

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.

Lead product security initiatives for cloud, AI, and enterprise platforms. Responsibilities include threat modeling, security architecture reviews, identifying systemic weaknesses, developing secure-by-design guidance and reference architectures, advising engineering and product leaders, leveraging AI and automation for scalable security assessments, investigating emerging attack paths, mentoring teams, and improving security review methodologies and tooling.

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.

The Chief Operating Officer leads NCOA’s enterprise operations across finance, human resources, information technology, compliance, and administration. This executive translates strategy into operating plans, budgets, performance metrics, and organizational improvements while advising the CEO and Board. Responsibilities include risk management, financial stewardship, technology and AI enablement, talent development, change leadership, partnership support, and building an accountable, inclusive, high-performing culture.

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.

Translates business, operational, legal, and policy requirements into configured technology experiences. Configures workflows, rules, permissions, decision logic, content, and Salesforce business experiences. Leads technical discovery, dependency analysis, onboarding, testing, deployment, and production readiness while partnering with Product, Engineering, Legal, Policy, and business teams. Supports scalable AI-enabled and structured-content solutions across associate, customer, and self-service experiences.

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.

Leads DFMEA-driven 3D CFD and thermal-fluid analysis for propulsion and battery systems. Responsibilities include modeling battery thermal performance, thermal runaway propagation, venting dynamics, power electronics, and failure containment; conducting architecture trade studies; correlating simulations with physical tests; communicating results; and advancing CFD and multiphysics methods. The role requires propulsion-system experience, commercial CFD software expertise, heat transfer and fluid mechanics knowledge, and a mechanical or aerospace engineering degree.

Design, develop, test, certify, and deploy autonomy components for large off-road machines across perception, planning, control, and learning. Take robotics solutions from prototype through production on real hardware, contribute across the autonomy stack, and collaborate in outcome-focused engineering pods. The role involves simulation, on-vehicle deployment, field robotics, and potentially machine-learning infrastructure.

Leads the enterprise AI PMO by translating AI strategy into an integrated portfolio of initiatives. Oversees governance, prioritization, funding, ROI and benefits realization, delivery coordination, RAID management, financial transparency, controls, regulatory readiness, executive reporting, adoption, and organizational change across complex, regulated environments.

Leads Odyssey Logistics’ enterprise AI program, setting strategy across predictive, agentic, generative, and simulation applications. The role manages AI leads, prioritizes use cases, scales solutions into production, establishes governance, and measures business value. It requires senior leadership, hands-on AI architecture experience, cross-functional influence, and experience building AI capabilities or governance in complex, asset-heavy organizations.

Leads Metropolis's hospitality growth strategy, commercial expansion, national account sales, partnerships, vertical marketing, and product commercialization. Owns the segment growth target and collaborates with sales, operations, marketing, product, and data teams to build market-leading hospitality solutions. Responsibilities include developing commercial structures, scaling the Recognition Platform, creating industry partnerships, translating customer insights into product-market fit, and using data-driven tools to accelerate pipeline performance and value creation.

Leads retail growth and commercial strategy, owning revenue expansion, national account wins, partnerships, B2B marketing, deal structures, product-market fit, and vertical offerings. Builds retail industry relationships, coordinates sales, product, marketing, operations, and data teams, establishes growth reporting, and represents the company through trade press, conferences, and industry thought leadership.

Leads hospitality-sector growth strategy, commercial expansion, national account wins, partnerships, vertical marketing, and profitable segment performance. Collaborates with sales, operations, product, marketing, and data teams to scale parking, security, recognition, and biometric technology solutions. Owns hospitality growth targets, commercial structures, product-market fit, industry positioning, dashboards, and enterprise relationships across major hospitality brands.