Top Artificial Intelligence Jobs

Drive enterprise SaaS sales across EMEA by prospecting AI and machine learning stakeholders, conducting discovery, presenting Arize’s platform, managing proof-of-concept engagements, navigating complex sales cycles, closing new business, driving adoption, and expanding customer accounts. The role requires full-cycle enterprise sales expertise, strong communication, independent execution, account research, and relationship-building within the AI/ML community.

Participate in a paid remote research interview about finance, accounting, and business operations workflows. Discuss daily administrative and financial routines, software tools, financial data management, operational bottlenecks, and areas of friction. Participants should be active professionals with hands-on experience using accounting or operations software and be comfortable reviewing tools and sharing feedback during a video call.

Participate in a remote, AI-moderated interview about digital app experiences. Complete simple tasks on a website or app, explain your thought process, answer usability questions, and provide honest feedback about helpful features and areas for improvement. Applicants should regularly use digital applications, communicate openly, and have a reliable internet connection and microphone-equipped device.

Own the international ecommerce technology strategy, roadmap, and execution for market expansion across Japan, Europe, and future regions. Lead Shopify Markets capabilities, localized storefronts, international payments, taxation, fulfillment, integrations, and compliance. Drive technical go-to-market launches, cross-functional alignment, vendor coordination, requirements, prioritization, testing, and optimization. Use data and KPIs to guide decisions and communicate strategy, risks, and progress to senior leadership.

Designs and fabricates electromechanical fixtures, test rigs, enclosures, tooling, and lab infrastructure. Converts CAD concepts into finished hardware using CNC and manual machining, 3D printing, and wood and metal fabrication. Performs CNC rework, electrical wiring, power distribution, actuator integration, and troubleshooting. The role requires independently solving complex prototype hardware problems, rapidly producing custom equipment, and prioritizing varied projects.

Leads NPI Operations Engineering for complex electromechanical products, owning manufacturability, DFM/DFA, assembly processes, fixtures, equipment, supplier readiness, production validation, and handoff to sustaining engineering. Establishes yield, cycle-time, cost, and production-readiness targets; develops manufacturing technologies and documentation; manages capital budgets; and leads a team of manufacturing design and supply base engineers across multiple hardware programs.

Own and scale Teton’s global go-to-market infrastructure across marketing, sales, business development, account management, and customer success. Responsibilities include managing HubSpot and revenue systems, forecasting, analytics, territories, quotas, compensation, deal desk processes, lifecycle operations, market launches, and RevOps team development. The role requires building scalable processes and systems across multiple countries, verticals, and enterprise SaaS-plus-hardware sales motions.

Leads forecasting, budgeting, cash flow analysis, variance reviews, customer revenue forecasting, business-case evaluation, and gross-margin analysis. Prepares financial reporting for lenders, private equity investors, the Board, and executive leadership. Drives finance automation using AI tooling and conducts forensic analysis to explain trends, anomalies, and business performance.

Drive new-business growth by closing complex enterprise deals with commodity trading firms. Own the full sales cycle from prospecting through signing, navigate C-suite relationships, multithread stakeholders, and manage procurement, legal, and security reviews. Sell to technical buyers including CTOs, CIOs, and CDOs, while explaining platform architecture, MCP, APIs, data pipelines, entitlements, and latency considerations.

Develop end-to-end software and analytic data processing solutions from design through production. Build and maintain data pipelines, process large datasets, develop cloud-based systems, optimize SQL and NoSQL queries, and use distributed processing frameworks. Collaborate in agile environments, evaluate architectures, identify system improvements, and deliver scalable solutions for government missions.

Owns full-cycle B2B sales and business development for translation, localization, and language technology solutions. Responsibilities include prospecting, pipeline generation, discovery, solution development, proposals, RFP responses, negotiation, contracting, forecasting, and client handoff. The role builds executive relationships, meets revenue and activity targets, collaborates cross-functionally, represents the company at industry events, and maintains accurate CRM data. This is a remote U.S. position requiring less than 25% travel.

Own and grow a portfolio of small- and mid-market accounts through retention, renewals, upselling, cross-selling, business reviews, and adoption support. Build net-new pipeline through prospecting, stakeholder mapping, consultative selling, and value-based proposals. Manage full sales cycles, maintain accurate Salesforce records, provide forecasts, coordinate cross-functional issue resolution, and support customer implementations. The position requires occasional U.S. travel and is based in Monterey, California.

Develops net-new business and manages the full B2B sales cycle for translation, localization, language technology, and AI-enabled solutions. Responsibilities include prospecting, discovery, solution development, proposals, RFP responses, pricing, negotiation, contracting, forecasting, and post-sale handoff. Builds client relationships, maintains sales pipelines, coordinates cross-functional teams, represents the company at industry events, and achieves revenue and activity targets within an assigned U.S. territory.

Build and lead DriveNets’ advanced support organization for AI Factory deployments. Hire Tier 3 engineers, establish support tiers, SLAs, escalation paths, on-call operations, and knowledge management. Own critical multi-vendor incidents, customer communications, RMA strategy, diagnostics, post-incident reviews, and collaboration with AMD and R&D. Shape support product requirements, oversee customer onboarding, track service-health KPIs, and improve resolution speed, fault pinpointing, and no-fault-found rates.