Top Artificial Intelligence Jobs

Oversee accounts payable processes, including invoice sorting, coding, matching, journal and ledger posting, discrepancy resolution, vendor communication, month-end close support, audit documentation, and credit tracking. The role requires strong Excel skills, analytical attention to detail, and at least three years of accounts payable experience.

Research, design, train, and deploy multimodal AI models using clinical and molecular data to support precision medicine, biomarker discovery, therapy outcome prediction, and companion diagnostics. The role requires collaboration with life sciences companies, regulatory alignment for healthcare products, and publication of original research. Responsibilities include working with pathology slides, genomic profiles, spatial omics, and longitudinal patient records while contributing hands-on model development and product-level engineering.

Leads data engineers and architects while owning Tempus’s enterprise data model and data reliability. Integrates clinical, genomic, NGS, and radiology data across relational and NoSQL systems; establishes modeling, observability, quality, and documentation standards; and mentors teams through technical reviews. Partners with product and engineering leaders to prioritize work and uses AI-assisted development tools to improve modeling, testing, and pipeline delivery. Requires strong SQL, Python, modern data stack, healthcare data standards, data observability, and healthcare/genomics domain expertise.

Own Vercel’s go-to-market planning models, including headcount capacity, staffing ratios, ramp curves, attrition, productivity, quota methodology, and pipeline coverage. Develop consumption-based quota frameworks, track plan-versus-actual performance, model investment scenarios, and provide recommendations to senior leadership. Partner with Finance, Recruiting, and Data & Analytics to validate assumptions and support quarterly planning.

Own sales strategy and operations for Vercel’s US Majors and Verticals organization. Partner with sales leadership on forecasting, pipeline reviews, QBRs, territory and account planning, capacity modeling, target setting, sales plays, and growth programs. Analyze pipeline, deal velocity, win/loss trends, retention risk, and revenue opportunities. Collaborate with Sales Development, Finance, GTM Systems, Engineering, and Data to improve tooling, automation, AI-driven workflows, enablement, onboarding, and seller effectiveness.

Leads Shield AI’s global partner program across reseller and OEM relationships. Responsibilities include recruiting and onboarding strategic partners, designing program structures and incentives, developing two-way channels, enabling partners, governing relationships, and tracking pipeline, revenue, margins, productivity, and incentive ROI. The role systematizes partner operations across regions and requires approximately 40% international travel.

Supports global mobility operations, including domestic and international relocations, expatriate assignments, immigration coordination, case tracking, employee communications, vendor management, documentation, reporting, audits, and process improvement. The role coordinates with HR, payroll, finance, legal, security, immigration counsel, relocation providers, and other stakeholders while maintaining accurate records, meeting deadlines, and escalating complex or sensitive matters.

Owns propulsion hardware and capabilities from requirements and architecture through procurement, integration, testing, flight, and operational deployment. Leads engine performance and vehicle integration, technical reviews, supplier engagement, propulsion testing, data analysis, failure investigations, and corrective actions. Collaborates with multidisciplinary engineering, manufacturing, supply chain, test, and flight teams while mentoring junior personnel. Requires strong gas turbine propulsion fundamentals, hands-on aerospace hardware experience, Python-based engineering analysis, and U.S. citizenship with clearance eligibility.

Own the full sales cycle for mid-market SaaS customers, from relationship building and stakeholder engagement through negotiation and contracting. Advise customers on monday.com’s platform, connect solutions to ROI, coordinate cross-functional support, and address commercial or relationship escalations. The role requires consultative selling, complex deal management, strong communication and negotiation skills, sales achievement, independent prioritization, and collaboration.

Build SDKs, frameworks, reference applications, and evaluation tools for Physical AI systems operating across cloud, edge, and real-world hardware. Integrate AI models, inference runtimes, agent frameworks, and connected devices. Maintain development hardware fleets, improve platform security and reliability, document open-source tools, and collaborate with engineering, product, architecture, and industry partners.

Lead customer discovery and design end-to-end agentic AI solutions for Altana’s platform. Translate ambiguous business problems into workflows, prompts, evaluation criteria, requirements, and acceptance criteria for deployment engineers. Prototype solutions, guide implementation through launch, measure adoption and business outcomes, train users, and identify expansion opportunities. Partner with sales, customer success, engineering, machine learning, and product teams while developing reusable solution patterns and integration strategies.

Manage global monthly, quarterly, and year-end close across multiple entities, including reconciliations, journal entries, consolidation, flux analysis, and audit coordination. Lead accounting teams in New York and Stockholm, improve close processes, establish SOX-ready controls, support acquisitions, and oversee the accounting migration to NetSuite. Partner with Technical Accounting, FP&A, Tax, AP, AR, Payroll, and external auditors.

Own commercial strategy, renewals, expansion, pricing, forecasting, and executive relationships for global accounting and consulting networks. Drive adoption across decentralized member firms, service lines, and territories; translate global agreements into local proposals; coordinate sales, engagement, legal, product, and regional teams; and support US tax-market growth and sell-with initiatives.

Design and manage automated commercial lifecycle programs across email, in-app, and Slack to drive customer awareness, adoption, expansion, and retention. Analyze engagement and usage data, run A/B tests, optimize journeys, and translate findings into recommendations for leadership. Collaborate with Sales, Customer Success, Product, Marketing, and Analytics while using AI tools and automation platforms to prototype, scale, and improve customer programs.

Manages sales and services operations for Implementation, Installation, and Customer Education teams. Improves workflows, customer onboarding, resource allocation, and performance through data-driven analysis. Partners with Sales, Support, Product, and leadership on strategic projects, forecasting, territory alignment, QBRs, reporting, and Salesforce dashboards. Oversees recurring business processes, identifies inefficiencies, and provides operational guidance in a high-growth SaaS environment.

Own strategy, execution requirements, performance, and optimization for revenue-focused lifecycle marketing motions, including PLG, PQL conversion, cross-sell, expansion, and reactivation. Develop customer journeys, messaging, audiences, sequencing, and success measures; align Product Marketing, Product, Sales, Legal, Analytics, and Marketing Operations; track pipeline and revenue outcomes; and optimize campaigns through testing, attribution, and data-driven insights.

Own and optimize assigned B2B customer lifecycle journeys, including onboarding, adoption, renewal, churn prevention, and reactivation. Translate strategy into campaign briefs, audience requirements, content needs, success measures, and testing plans. Partner with Campaign Operations, creative, content, and analytics teams on implementation, Marketo migration, newsletter management, reporting, and continuous improvement. Track journey performance, identify risks, communicate insights, and use AI and automation to improve execution.

Leads the internal Applied AI product roadmap, partnering with Finance, Operations, and GTM leaders to identify automation opportunities and deliver AI-powered workflows, applications, and process transformations. Defines PRDs, requirements, roadmaps, and success metrics; collaborates with AI engineers and vendors; prototypes solutions; manages agile development, adoption, change management, reliability, and business impact.

Leads the internal Applied AI product roadmap, translating operational challenges into AI applications, RAG implementations, agentic workflows, and automation systems. Partners with Finance, Operations, and go-to-market leaders to identify opportunities, define requirements and success metrics, collaborate with engineers and vendors, prototype solutions, drive adoption, and measure business impact. The role also oversees agile development, change management, reliability, and continuous improvement of internal AI tools.

Lead the internal Applied AI product roadmap and transform business workflows across Finance, Operations, and Go-To-Market. Partner with AI engineers and vendors to build applications, prompt pipelines, RAG implementations, and agentic workflows. Define PRDs, success metrics, and roadmaps; oversee agile delivery, prototyping, adoption, change management, reliability, and business impact. The role requires hands-on AI fluency, stakeholder leadership, and experience shipping AI-powered applications or process automation.