Top Artificial Intelligence Jobs

Leads engineering strategy, execution, hiring, and team development for enterprise AI software. Owns technical direction across APIs, application services, data pipelines, cloud and ML infrastructure while remaining hands-on with architecture, coding, debugging, and production operations. Partners with product and leadership on roadmap delivery, guides model training and serving decisions, improves reliability and security practices, and develops engineering managers and technical leaders.

Owns METR’s People Operations function, including compensation, benefits, payroll, HR compliance, employee relations, onboarding, performance management, professional development, and culture. The role will build scalable HR systems and processes, advise employees and managers, manage HR data and benefits, coordinate trainings and retreats, and support organizational growth from approximately 30 to 200+ employees.

Develop and execute sales strategies for consulting services, identify and qualify target accounts, manage opportunities from lead through close, and grow relationships with direct clients and technology partners. The role involves pipeline management, prospecting, targeted messaging, partner collaboration, market-facing activities, and representing Entrada at client meetings and industry events. Candidates should build credibility in data and analytics and use HubSpot, LinkedIn, AI, and other prospecting tools.

Design, build, and own scalable data infrastructure for proteomics research and machine learning. Develop production data platforms, automated workflows, cloud infrastructure, pipelines, lakehouse architectures, and integrations with instruments and LIMS. Establish data integrity, lineage, security, and reproducibility standards while partnering with scientific teams. Set technical direction, operate terabyte-scale systems, review designs and code, and mentor colleagues.

Own the roadmap and delivery of internal data platform products supporting clinical trial model development. Partner with engineering and scientific teams to understand workflows, prioritize improvements, write requirements, guide technical tradeoffs, measure outcomes, and drive adoption. The role requires hands-on data exploration, technical product management, and end-to-end ownership of platform improvements that accelerate model delivery.

Build and maintain reliable CI/CD pipelines, deploy containerized web applications to cloud environments, automate workflows, troubleshoot build issues, integrate security and testing frameworks, monitor pipeline performance, and improve DevOps practices. The role also supports Agile delivery, Kubernetes and container orchestration, infrastructure as code, developer productivity, and secure deployment processes. U.S. citizenship and eligibility to obtain a Secret or Top Secret clearance are required.

Own full-cycle recruiting for engineering and technical roles, including sourcing, screening, candidate management, hiring-manager partnership, offer strategy, and closing. Build creative sourcing strategies and strong technical talent pipelines, engage passive candidates, use recruiting data to improve searches, and represent Harper’s product and culture. Help improve interview processes and hiring standards while maintaining a high-quality candidate experience.

Support customers with complex database integration issues while contributing directly to Airbyte’s Java and Kotlin open-source connectors. Troubleshoot replication, CDC, query performance, authentication, networking, schema evolution, and warehouse or lake destinations. Reproduce bugs, inspect logs and query plans, improve connector reliability, review community contributions, and collaborate with Engineering, Product, Solutions, Sales, and Customer Success. The role also includes technical documentation, mentoring support engineers, customer onboarding, and developing AI-assisted troubleshooting processes.

Build experimental applications and interactive tools for configuring experiments, monitoring execution, visualizing results, and capturing metadata. Integrate instrument APIs with SDKs, data services, backend systems, and automation workflows. Implement testing, logging, failure recovery, CI, packaging, and deployment improvements. Diagnose issues across application, performance, concurrency, native-code, and hardware layers while collaborating directly with scientists and engineers to deliver reliable software.

Leads Unifyed’s company-wide strategy, operations, product direction, sales, marketing, customer success, financial management, and organizational growth. The President will scale the SaaS business, build and mentor leadership teams, manage budgeting and P&L performance, improve operational processes, oversee product strategy, drive customer retention and revenue growth, and report to the Board. The role requires strategic vision, hands-on execution, and extensive leadership experience in technology or SaaS organizations.