Top Artificial Intelligence Jobs

Acquire and grow mid-market customers for AI-powered customer experience, contact center, unified communications, and business communication solutions. Generate pipeline through prospecting, referrals, networking, partners, and inbound opportunities; manage complex multi-stakeholder sales cycles; conduct consultative discovery; develop account plans; present solutions; maintain CRM data and forecasts; use AI-enabled sales tools and analytics; and collaborate with marketing, partners, solution consultants, customer success, and product teams.

Own Avante’s enterprise account-based demand generation strategy and pipeline. Define and prioritize target accounts, design personalized ABM plays, manage LinkedIn and paid search campaigns, support events and webinars, align with sales and partners, and measure account engagement, velocity, and pipeline. Build AI-powered automations for account research, signal monitoring, buying committee mapping, and campaign execution while remaining hands-on in an early-stage startup environment.

Own Avante’s content strategy and brand voice across thought leadership, blogs, social media, events, webinars, podcasts, sales enablement, and nurture campaigns. Build the content engine, create compelling narratives for HR and benefits leaders, support SEO and AEO, and use AI to repurpose content efficiently. Partner with product marketing, demand generation, creative, sales, customers, and executives while maintaining consistent messaging and adapting to the needs of a growing startup.

Conduct applied research on foundation models for real-time fraud detection using large-scale behavioral and sequential data. Design experiments, benchmarks, holdouts, and monitoring systems; develop models from data preparation through deployment; and optimize training and inference efficiency. Collaborate with engineering, client-facing teams, legal, compliance, and customers to productionize models and establish explainability, governance, and risk documentation.

Conduct applied AI research in computer vision, machine learning, generative AI, and multimodal systems. Lead research from proof of concept through production, developing responsible and privacy-preserving models for visual data. Create metrics, optimize models for resource-constrained devices, validate performance, collaborate with scientists, engineers, and product managers, and contribute to publications, technical documentation, and patents.

Own the full B2B sales cycle from prospecting and qualification through negotiation, closing, account expansion, renewals, and post-sale relationship management. Build trusted customer partnerships, conduct site visits, represent the company at industry events, and collaborate with leadership, product, and design teams to incorporate customer feedback. The role is remote, focused on U.S. time zones, and requires significant domestic and international travel.

Develop deep learning models using imitation and reinforcement learning to generate autonomous vehicle trajectories. Build production ML pipelines, metrics, and error-analysis tools; evaluate driving plans for safety, progress, and comfort; and collaborate with Planning, Perception, Simulation, and Systems Engineering teams to improve autonomous driving in complex urban environments.

Perform system safety analyses for autonomous vehicle sensing and perception systems. Define safety requirements, metrics, and fail-operational architectures for camera, lidar, radar, sensor fusion, and machine learning subsystems. Lead cross-functional safety projects, apply ISO 26262 and SOTIF methods, guide sensor architecture decisions, analyze field and simulation data, and support safety arguments for public-road deployment. The role also involves data analysis, system-level tradeoffs, and using AI/LLM tools to improve efficiency.

Leads architecture, optimization, scaling, and ownership of Zoox’s enterprise and AI data platform. Builds self-healing pipelines, governance frameworks, data quality and observability systems, secure access controls, lifecycle policies, and automated CI/CD deployment infrastructure. Optimizes Databricks and AWS EMR performance and costs while enabling low-latency, AI-ready data foundations. The role also drives enterprise security, compliance, schema evolution, and developer velocity, with opportunities to apply GenAI, Terraform, and EKS.

Lead Nearmap’s global legal function across ANZ, North America, and Europe. Advise executives and the board on legal risk, governance, compliance, disputes, M&A, privacy, and strategic transactions. Own global commercial contracting, intellectual property, outside counsel, and legal spend while building a high-performing in-house team. Negotiate SaaS, licensing, reseller, data processing, vendor, and procurement agreements across jurisdictions, and partner with commercial, finance, people, and operations teams.

Provides Tier 2 and Tier 3 technical support for SaaS customers, investigating complex data, configuration, and pipeline issues to identify root causes and permanent fixes. Responsibilities include ticket triage, data investigation, AI-assisted troubleshooting, knowledge-base improvement, customer onboarding, training, documentation, and cross-functional collaboration. The role also helps improve Alloy’s AI support assistant and uses recurring customer issues to drive product and process enhancements.

Own the complete sales cycle for OpenGov products, from qualified lead through contract signature, across a defined state and local government territory. Responsibilities include prospecting, discovery, product demonstrations, proposals, opportunity strategy, pipeline management, MEDDIC-based sales execution, negotiation, and quota attainment. The role partners with solution engineers, marketing, and cross-functional teams while developing relationships with government organizations and contributing market feedback.

Own the full sales cycle for OpenGov products serving state and local governments, from prospecting and discovery through demonstrations, proposals, negotiation, and contract close. Manage a defined territory, build government relationships, maintain Salesforce pipeline data, use MEDDIC methodology, achieve quota targets, and collaborate with solution engineers, marketing, and cross-functional teams. Occasional customer travel is required.

Serves as a liaison between cybersecurity teams and business stakeholders by gathering requirements, documenting processes, supporting security programs, analyzing metrics, and tracking project risks and deliverables. Responsibilities include governance, risk management, compliance, identity and vulnerability management, incident response support, process improvement, reporting, dashboard development, and stakeholder communication.

Analyzes cyber threat intelligence from open-source, commercial, and government sources; researches threat actors, vulnerabilities, malware campaigns, and adversary tactics. Produces intelligence reports and advisories, supports SOC, incident response, threat hunting, detection engineering, and vulnerability assessment, and communicates findings to technical and business stakeholders. Maintains intelligence processes, repositories, dashboards, and documentation while supporting intelligence sharing and external partner engagement.

Conduct malware analysis, reverse engineering, vulnerability research, exploit analysis, and adversary TTP investigations. Develop detection content such as IOCs, YARA and Sigma rules, MITRE ATT&CK mappings, and SOC analytics. Build research automation tools, maintain secure analysis environments, collaborate with incident response and security teams, and produce technical reports. The role requires strong operating system internals, assembly, programming, exploitation, and reverse engineering expertise.