Top Artificial Intelligence Jobs

Generate enterprise sales pipeline through cold calling US decision-makers, LinkedIn outreach, and AI-assisted email sequencing. Research target accounts, identify buyers, engage prospects across channels, book meetings, and maintain accurate HubSpot records. Attend discovery calls and demos to learn the full sales cycle. The role requires disciplined daily call blocks, strong writing, curiosity about AI, US-overlap hours, and interest in advancing toward an Account Executive career.

Owns PIC’s relationships with Fort Stockton, Pecos County, local officials, media, schools, businesses, and civic organizations. Serves as the project spokesperson, develops messaging and crisis communications, manages external PR agencies, leads public engagements, and coordinates milestone announcements. Designs community investment and workforce programs, monitors community sentiment, and translates technical project details into accessible language. Requires Texas government knowledge, media experience, agency management, independent program-building, and regular travel across West Texas and Austin.

Own the research agenda for Ambral Labs’ replayable enterprise environment engine. Design experiments, build environment factories, develop graders and evaluation sets, mine tasks from historical workflows, optimize models and agent policies, advance long-horizon post-training methods, and scale replay and observability systems. The role combines hands-on research and production implementation while establishing research culture, recruiting talent, and working directly with the CTO on enterprise deployments.

Own the full enterprise sales cycle for Andesite’s AI-driven cybersecurity platform through channel partners. Build territory pipeline, cultivate partner relationships, engage CISOs and executives, lead consultative discovery and POCs, develop ROI-based business cases, and drive new customer acquisition, expansion, ARR growth, and production deployments. Collaborate with engineering, product, marketing, and field teams while providing market insights to support product and go-to-market strategy.

Owns day-to-day operations for an early-stage industrial robotics company, including sourcing materials, negotiating with suppliers, issuing and tracking purchase orders, coordinating freight, managing recruiting logistics, supporting onboarding, collecting vendor documentation, coordinating invoices, and maintaining operational systems. The role requires exceptional organization, persistence, resourcefulness, commercial judgment, phone-based follow-up, and comfort solving ambiguous problems independently.

Develop C++ checkers and defect-fix algorithms for a static code analysis tool. Contribute to core source-code analysis and transformation algorithms, participate in daily Scrum meetings, and help advance AI-enabled software quality products.

Prospect and engage customer marketing, advocacy, and GTM leaders through thoughtful outreach, events, and warm introductions. Build qualified pipeline, research target accounts, collaborate with Account Executives and marketing on campaigns, and help develop scalable SDR tools, messaging, metrics, and playbooks. Own outreach, meetings booked, and pipeline goals while maintaining authentic, customer-centric communication.

Build and extend Kubernetes orchestration for AI inference: implement CRDs/controllers in Go, design high-performance ingress/load-balancing, implement GPU-aware autoscaling (HPA/VPA), tune scheduler/resource management, and ensure HA for platform components.

Own the marketing execution engine across HubSpot automation, technical SEO and AEO, email and newsletter operations, blog distribution, social channels, analytics, webinars, and event logistics. The role requires hands-on ownership of marketing systems, deliverability, search visibility, reporting, and recurring publishing processes. It is an individual contributor position initially, with potential to lead a small team as the company grows.

Develop and research novel machine learning algorithms for brain-computer interface applications. Improve brain activity identification, speed, accuracy, and muscle-artifact removal using real-time and large EEG datasets. Responsibilities include implementing and creating neural-network and other machine learning methods, rapidly prototyping features, collaborating with developers and the CEO, advancing intellectual property, documenting work, and contributing creatively in a fast-paced startup environment.