Top Artificial Intelligence Jobs

Manage end-to-end customer implementations, coordinating healthcare data feeds, plan documents, enrollment, consent, and member communications. Drive activation, engagement, retention, and renewals through performance reporting and clinical outreach strategies. Build trusted relationships with benefits leaders, brokers, consultants, and TPAs; translate customer feedback into product recommendations; and improve processes for scalable operations.

Owns pipeline generation, deal strategy, forecasting, and quota achievement for large enterprise software accounts across U.S. chemical, materials science, life sciences, and pharmaceutical sectors. Builds trusted C-level relationships, leads complex consultative sales cycles, translates scientific R&D workflows into business value, develops account plans, and collaborates with technical, customer engagement, and marketing teams. Represents the company at industry events and provides market feedback to leadership.

Own the full sales cycle for AI infrastructure customers, from outbound prospecting and technical validation through negotiation and close. Activate existing relationships with AI founders, infrastructure leaders, and ML teams; build qualified pipeline; maintain accurate forecasts and CRM data; and partner with Solutions Engineering on evaluations. Advise technical buyers on architecture, training and inference economics, GPU supply, and cluster tradeoffs. Travel up to 35% for customer meetings, events, and site visits.

Commercial Counsel will negotiate revenue-critical agreements, manage complex commercial deals, and help build the company’s legal function. Responsibilities include developing templates, playbooks, risk frameworks, approval workflows, and AI-enabled legal tools. The role also supports corporate governance, compliance, privacy, security, export controls, employment, IP, vendor matters, fundraising, M&A, and strategic transactions while partnering with sales, finance, product, and operations.

Develop distributed computing algorithms, performance metrics, and analysis tools for Zoox’s Collision Avoidance System. Analyze petabytes of urban driving data, evaluate system performance, and collaborate with CAS Perception, Planning, Systems Design, Mission Assurance, and QA engineers to define autonomous-driving validation metrics and plans.

Design and implement scalable, reliable full-stack web applications supporting autonomous robotaxi fleet monitoring and operations. Collaborate with product managers, designers, QA engineers, remote operators, and engineering teams to build features, improve existing systems, and optimize application performance, including latency, CPU and memory usage, and database queries. Contribute to in-vehicle visualization and real-time rider support tools while developing toward senior-level responsibilities.

Drive design for serviceability and service readiness for autonomous vehicles. Evaluate diagnostics and controller programming across component, system, and vehicle levels; develop diagnostic tools and standardized programming requirements; create service procedures and wiring documentation; and partner with engineering, manufacturing, validation, and field technicians to improve maintenance and repair workflows.

Summer interns will support business functions including supply chain, logistics, procurement, IT, software, data analytics, finance, accounting, HR, administration, process improvement, reporting, and documentation. Interns will work full-time onsite in Houston from May through August 2027, contributing to cross-functional projects and gaining exposure to manufacturing and global operations.

Monitor and resolve work order, inventory, purchasing, and fixed asset discrepancies. Analyze cost variances, BOM and work order differences, inventory reports, purchase and selling price discrepancies, and fixed asset records. Support cycle counts, physical inventories, audits, and reporting. The role requires advanced Excel skills, strong analytical ability, accounting knowledge, and bilingual Chinese communication skills. The position is based in Houston with regular in-office work.

Provides day-to-day database administration and on-premises platform infrastructure support. Responsibilities include database monitoring, patching, upgrades, backup and recovery, query performance optimization, security access management, and administration of Redis, MinIO, Kafka, Windows, and Linux environments. The role also supports CI/CD pipeline operations, troubleshooting, documentation, and platform service maintenance.

Build full-stack prospect demo solutions for ecommerce search and discovery products. Develop JavaScript data collection tools, front-end integrations, ETL workflows, dashboards, alerts, and open-source UI libraries and REST clients. Validate prospect data, support integrations, answer technical questions, collaborate with sales and product teams, and contribute to automated testing, code reviews, and demo infrastructure.

Own enterprise demand generation strategy, budget, pipeline targets, account-based marketing, target-account playbooks, buying journeys, and cross-channel demand programs. Partner closely with sales, revenue operations, customer, product, and marketing teams to identify priority industries, engage buying committees, test new channels, and build scalable programs that generate qualified enterprise pipeline and high-value customers.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

Lead US government affairs and public policy strategy for Cohere across federal and state levels. Monitor AI policy, craft responses to regulatory and legislative initiatives, cultivate relationships with lawmakers and regulators, support public-sector sales and procurement, manage external lobbyists and trade associations, and ensure compliance with lobbying and political laws.

As a Software Engineer in Robotics, you'll develop production software for Vision-Language-Action models, including data integration, benchmarking, and dataset management, collaborating with clients to enhance robot learning systems.

Lead the Enterprise Platform product area while managing and coaching PMs. Own strategy, customer discovery, product definition, execution, launch, adoption, and learning for APIs, integrations, permissions, governance, audit, workspaces, and reliability. Establish product planning, review, metrics, and decision-making practices across Product, Design, and Engineering, while coordinating priorities across the broader product portfolio and partnering with executive, technical, customer, and go-to-market leaders.