Top Artificial Intelligence Jobs

Source and engage qualified candidates for priority GTM, engineering, and product roles. Build strong talent pipelines, conduct thoughtful personalized outreach, evaluate candidate fit beyond titles and keywords, manage multiple searches independently, and use hiring-team feedback and conversion data to improve sourcing strategy and results in a fast-paced startup environment.

Designs and deploys predictive models, segmentation frameworks, machine learning solutions, and data pipelines for marketing and customer analytics. Analyzes complex datasets, conducts experiments, validates and monitors models, and translates findings into actionable recommendations. Collaborates with strategy, media, client services, and engineering teams while communicating insights to technical and executive audiences. The role also supports peer development, documentation, knowledge sharing, and adoption of emerging data science practices.

Modernize IBM System/36 applications by analyzing legacy programs, converting OCL to CL and RPG II to RPG IV/ILE RPG, remediating code, modernizing screens and menus, and validating functionality through unit, integration, and user acceptance testing. The role also includes troubleshooting, documentation, code reviews, stakeholder collaboration, and knowledge transfer.

Supports national Department of Transportation projects by identifying bids, reviewing plans, performing material takeoffs, preparing quotes and submittals, and ensuring products meet DOT specifications. Collaborates with sales representatives, engineers, contractors, and customers; tracks project progress in Salesforce and updates Power BI reports. The role requires blueprint interpretation, storm sewer product expertise, quote coordination, and cross-functional project process management.

Lead the cloud infrastructure engineering team, owning platform reliability, roadmap, costs, capacity, vendor relationships, observability, incident response, and compliance readiness. Manage hiring, performance, and career development while partnering with product, device, data, and security teams. Establish standards across AWS, Kubernetes, Terraform, GitOps, CI/CD, and secure device-to-cloud communication as the company scales.

Design, build, and operate backend services for stablecoin minting, burning, reserve accounting, reconciliation, settlement, and payments APIs. Integrate with banks, custodians, issuers, blockchains, and partner APIs while ensuring secure, observable, and reliable money movement. Build audit trails, monitoring, runbooks, and incident-response processes, and contribute to customer and operations workflows. Translate ambiguous business and compliance needs into robust technical systems.

Manage the full lifecycle of federal government contracts, including proposals, negotiations, awards, modifications, administration, compliance, and closeout. Negotiate NDAs, teaming agreements, subcontracts, vendor agreements, and customer contracts while identifying risks and supporting mitigation. Partner with Legal, Finance, Sales, Business Development, and program teams on complex bids, regulatory requirements, disputes, and contract strategy. Establish contract processes, support compliance with federal acquisition requirements, advise leadership, and mentor contracts personnel.

Six-month engineering internship building production backend services and AI pipelines. Design SQL schemas (PostgreSQL), implement SaaS integrations (REST APIs, webhooks), work with embeddings, transformer models and vector databases, build end-to-end data processing pipelines, and contribute to code reviews and architecture discussions.

Support up to four Partners through complex calendar management, communication triage, meeting and event coordination, executive travel arrangements, and office administration. The role requires proactive prioritization, discretion with confidential information, strong communication, and process improvement skills. The Executive Assistant will also coordinate vendors, prepare meeting materials and minutes, manage changing priorities, and use AI tools to improve daily workflows.

Build and lead Selector AI’s Incident & Escalation function by defining operating models, severity standards, workflows, escalation paths, customer communications, and incident metrics. Run critical incident response, develop Incident Commanders, drive post-incident corrective actions, and establish accountability across NOC, SRE, Engineering, Product, Support, and Account teams. Use automation and AI to improve detection, triage, investigation, and response while converting recurring issues into measurable product and engineering improvements.