Top Artificial Intelligence Jobs

Develop end-to-end software and analytic data processing solutions from design through production. Build and maintain data pipelines, process large datasets, develop cloud-based systems, optimize SQL and NoSQL queries, and use distributed processing frameworks. Collaborate in agile environments, evaluate architectures, identify system improvements, and deliver scalable solutions for government missions.

Owns full-cycle B2B sales and business development for translation, localization, and language technology solutions. Responsibilities include prospecting, pipeline generation, discovery, solution development, proposals, RFP responses, negotiation, contracting, forecasting, and client handoff. The role builds executive relationships, meets revenue and activity targets, collaborates cross-functionally, represents the company at industry events, and maintains accurate CRM data. This is a remote U.S. position requiring less than 25% travel.

Own and grow a portfolio of small- and mid-market accounts through retention, renewals, upselling, cross-selling, business reviews, and adoption support. Build net-new pipeline through prospecting, stakeholder mapping, consultative selling, and value-based proposals. Manage full sales cycles, maintain accurate Salesforce records, provide forecasts, coordinate cross-functional issue resolution, and support customer implementations. The position requires occasional U.S. travel and is based in Monterey, California.

Develops net-new business and manages the full B2B sales cycle for translation, localization, language technology, and AI-enabled solutions. Responsibilities include prospecting, discovery, solution development, proposals, RFP responses, pricing, negotiation, contracting, forecasting, and post-sale handoff. Builds client relationships, maintains sales pipelines, coordinates cross-functional teams, represents the company at industry events, and achieves revenue and activity targets within an assigned U.S. territory.

Build and lead DriveNets’ advanced support organization for AI Factory deployments. Hire Tier 3 engineers, establish support tiers, SLAs, escalation paths, on-call operations, and knowledge management. Own critical multi-vendor incidents, customer communications, RMA strategy, diagnostics, post-incident reviews, and collaboration with AMD and R&D. Shape support product requirements, oversee customer onboarding, track service-health KPIs, and improve resolution speed, fault pinpointing, and no-fault-found rates.

Own FAR.AI’s earned media strategy, including research release planning, reporter and outlet relationships, media training, inbound requests, op-eds, pitches, and reactive communications. The role requires shaping coverage of AI safety research, preparing researchers and leaders for interviews, deciding how to communicate sensitive findings, and securing credible coverage among AI and policy audiences.

Provide phone-first customer support to insurance agents and policyholders through calls, email, and chat. Resolve service and billing inquiries, maintain quote files and CRM notes, assist with onboarding and account setup, guide users on tools, and escalate recurring feedback. The role also contributes to evolving customer service processes and playbooks in a fast-growing startup.

Build and manage the go-to-market operating foundation, including funnel stages, lead routing, CRM strategy, revenue technology, account-based marketing support, attribution, pipeline reporting, forecasting, and leadership reporting. The role partners across Marketing, Business Development, Operations, and Finance to improve commercial data quality and connect deals through contracting and revenue.

Lead enterprise customer deployments from contract signature through onboarding, adoption, and expansion. Manage rollout plans, stakeholders, success metrics, risks, and change management for engineering consultancy customers. Partner with MEP specialists, account managers, product, and engineering teams to remove roadblocks, communicate value, identify expansion opportunities, provide customer insights, and build scalable deployment playbooks.

The Federal Sales Engineer supports sales by delivering technical presentations, product demonstrations, and complex customer evaluations. They connect business challenges to Harness solutions, troubleshoot common issues, respond to RFIs/RFPs, communicate customer needs to Engineering, and represent the product at events. The role requires cloud and infrastructure automation knowledge, familiarity with software development or DevOps, strong presentation skills, customer engagement, and travel throughout a federal sales territory.

Generate new enterprise sales opportunities through account research, cold calling, email, LinkedIn, direct mail, and inbound follow-up. Use sales tools to prospect target accounts, collaborate with Account Executives, explain the Harness Platform’s value, and meet daily, monthly, and quarterly pipeline KPIs. The role requires a metrics-driven, curious, adaptable professional with prior cold-calling experience and a strong desire to learn and exceed quotas.

Own architecture and operations for a large-scale multi-tenant SaaS platform across AWS and GCP. Responsibilities include managing Kubernetes clusters, Terraform infrastructure, CI/CD, observability, DevSecOps controls, databases, disaster recovery, and AI-powered platform tooling. The role partners with engineering teams on service design and production launches while establishing runbooks and technical standards.

Lead DevOps, SecOps, MLOps, and IT engineering teams while designing and implementing scalable multi-cloud microservice infrastructure. Oversee infrastructure automation, production reliability, monitoring, security, SOC 2 compliance, customer deployments, operational costs, and developer productivity. Manage DevOps initiatives and collaborate with stakeholders to align technical execution with business objectives.

Own Infinitus’s revenue operations strategy and go-to-market engine. Build and optimize the revenue technology stack, apply AI to automate workflows and analyze customer interactions, improve forecasting and pipeline generation, and provide actionable insights across Sales, Marketing, Customer Success, and Finance. The role also leads incentive design, supports strategic execution, and may hire or direct contractors and vendors.