Top Artificial Intelligence Jobs

Own a geographic territory to build pipeline and close new enterprise customers. Run complex, multi-stakeholder sales cycles from discovery through contract, coordinate cross-functional teams, maintain forecasting and CRM hygiene, represent the company at events, and achieve quota with ~20% travel.

Own post-go-live customer outcomes for finance teams using an AI-native platform. Manage account health, adoption, success plans, executive relationships, expansion opportunities, business reviews, implementation handoffs, and customer feedback. Partner with Sales, Product, Implementation, and leadership to improve finance workflows and measurable results. Help build the Customer Success function, including KPIs, health scoring, tooling, and scalable processes.

Drive KNOREX’s business growth by acquiring new clients, expanding into markets and verticals, managing strategic relationships, and exceeding revenue quotas. The role involves consultative selling of the KNOREX XPO platform and services, pipeline management, product positioning, negotiation of large deals, and representation at industry events. The director will collaborate with SDRs, solutions architects, and account managers while engaging media agencies, mid-market enterprises, and C-level stakeholders.

Work on front-end and back-end web projects: create and redesign websites, build sitemaps and wireframes, collaborate with teams, and focus on UI/UX and performant back-end functionality.

Guide new clients through software implementation, including kickoff meetings, project planning, platform configuration, data coordination, training, launch support, and early adoption. Manage timelines, milestones, documentation, and risks while coordinating clients and internal teams. Conduct post-launch health reviews, identify adoption barriers, create scalable onboarding resources, and improve implementation processes. Support client events, feedback collection, renewals, and expansion through successful implementation outcomes.

Develop and optimize machine learning methods for intrinsically disordered proteins, including generative models for protein conformational ensembles, affinity prediction, and generative chemistry. Build scalable training pipelines, adapt research methods, and collaborate with computational and experimental scientists to validate models using biophysical data.

Leads Laminar’s global deployment organization, portfolio, and operating system. Builds and develops deployment teams, establishes scalable processes and playbooks, manages capacity and resources, sets KPIs, and oversees complex multi-site customer rollouts. The role partners with engineering, product, value realization, plant leaders, and implementation partners to ensure predictable delivery, successful adoption, and measurable customer outcomes across manufacturing environments.

Full‑stack software engineering intern working across frontend, backend, AI infrastructure, ML, and devops. Define 0-to-1 project requirements, implement agentic AI systems, and deliver end-to-end features and fast iterations for CS students.

Manage office operations, supplies, equipment, logistics, vendors, invoices, budgets, executive errands, onboarding support, meetings, events, access controls, and workplace safety. The role requires independently coordinating a large corporate office, negotiating vendor contracts, supporting leadership, and maintaining an organized, welcoming workplace.

Deploys, maintains, and scales GitLab-centered engineering platforms and tooling. Designs complex CI/CD pipelines for container, Helm, RPM, and cross-platform builds; manages artifact registries; integrates SAST, code quality, vulnerability scanning, automated testing, and security controls. Establishes development standards, branch strategies, commit conventions, code review practices, pre-commit hooks, project scaffolding, signing, and secret management. May also build machine learning specialization pipelines.