Top Artificial Intelligence Jobs

Senior commercial counsel responsible for drafting, negotiating, and managing complex government contracts and ensuring compliance with FAR and agency-specific requirements. Advises across government sales, solicitations, bids, implementation, product development, and ongoing compliance. Partners with sales, security, product, legal operations, and outside counsel to improve contracting processes, templates, automation, and efficiency while navigating novel contractual and regulatory matters.

Build and scale an enterprise GTM motion through partner account relationships: cultivate internal champions, run discovery, craft proposals/SOWs/MSAs, close six-figure+ deals, document repeatable playbooks, and enable partners to carry smaller opportunities.

Develop and deploy robotics software across navigation, perception, teleoperation, motion behaviors, and warehouse-management integrations. Build features in C++ and Python using ROS2, debug autonomous navigation, containerize deployments with Docker, and commission robots on customer warehouse sites. The role involves hands-on work with real hardware, sensors, embedded compute, and fleet systems, with mentorship from senior roboticists and ownership of features from prototype through production deployment.

Leads audit engagements, reviews AI-generated audit workpapers, owns audit quality and methodology, and defines standards for AI-powered audit workflows. Manages client relationships, makes evidence and risk judgments, mentors accounting engineers, and partners with engineering and product teams to develop, test, and improve automated audit procedures.

Lead and build Jump's customer marketing function: develop customer stories, case studies, advocacy and reference programs, run customer advisory boards, partner with Sales and CS to drive adoption, retention, and expansion, and manage budget, vendors, and program measurement.

Lead the architecture, development, evaluation, and operation of enterprise autonomous AI agents integrated with Salesforce. Build stateful multi-agent workflows using LangGraph, Claude, and MCP; implement evaluation, observability, security, and PII protection; optimize model routing and performance; and establish engineering standards, API contracts, and architecture roadmaps. The role requires extensive software engineering and production LLM experience, strong debugging and stakeholder communication skills, and advanced English proficiency.

Lead customer-facing implementations for Fortune 500 organizations by discovering and optimizing third-party risk processes, configuring workflows and automations in Certa Studio, integrating systems, debugging data flows, managing testing and go-live, and supporting hypercare. Translate customer feedback into product improvements, templates, and deployment accelerators while working with compliance, security, privacy, legal, procurement, finance, and sustainability stakeholders.

Drive new business and expansion across GitHub and developer productivity services, including Copilot, GitHub Advanced Security, migrations, DevOps, platform engineering, and AI enablement. Build relationships with engineering leaders, partner with Microsoft and GitHub sellers, develop account strategies and proposals, manage pipelines, forecast revenue, negotiate profitable deals, and close sales while ensuring strong client experiences.

Owns full-funnel demand generation and pipeline growth for a B2B SaaS company serving private equity and financial services buyers. Responsibilities include managing HubSpot campaigns, workflows, lead scoring, attribution, paid media, integrated campaigns, website conversion, SEO, social channels, events, content, and agency relationships. The role partners with executive leadership and sales, builds marketing systems from the ground up, and measures programs against pipeline and revenue outcomes.

Build AI agent evaluation and trace intelligence features, run benchmarks and experiments on Mastra primitives, and use findings to improve agent accuracy, configuration, and behavior. Develop tools that help developers understand agent performance and enable automatic self-improvement through evaluations, suggestions, and rollouts. This hands-on role combines experimentation, benchmarking, and production framework engineering in a fully remote environment.