Top Artificial Intelligence Jobs

Owns expense-side P&L analysis, budgeting, forecasting, variance analysis, headcount and workforce cost modeling, SaaS unit economics, and executive reporting. Partners with Accounting, HR, department leaders, and go-to-market teams while maintaining financial models in Excel and Workday Adaptive Planning. Supports monthly close, reconciliations, scenario analysis, and process improvements in a remote corporate finance environment.

Own technical strategy for mid-market and enterprise sales opportunities from discovery through close. Lead architecture discussions, product demonstrations, proof-of-value exercises, security reviews, integrations, and production-readiness evaluations. Analyze traffic and logs, design deployments across web, mobile, API, CDN, cloud, and hybrid environments, address technical objections, and translate customer feedback into product input. Mentor Solutions Engineers and create enablement content.

Own an AI agent product area end to end, from customer discovery and workflow definition through launch and production outcomes. Define agent permissions, approval rules, evaluations, quality thresholds, and MSP configuration. Partner closely with design and engineering, conduct weekly research with MSP customers and technicians, support pilots, prototype prompts and workflows, and prioritize improvements using metrics such as resolution rate, escalation accuracy, time saved, and customer satisfaction.

Lead product direction and execution for an open AI infrastructure platform. Partner with founders, engineers, technical leads, customers, and researchers to connect environments, evaluations, training, deployment, and traces into cohesive workflows. Define roadmaps, prototype solutions, write product specifications, guide design and implementation, and measure adoption and user success. The role requires deep experience building technical products, preferably in developer tools, AI infrastructure, or ML platforms, with useful expertise in training, inference, multi-agent systems, reinforcement learning, continual learning, or evaluations.

Develop and improve AI agents and machine learning models that identify financial opportunities in healthcare contracts, supply chain, pharmacy, and managed care data. Analyze complex datasets, automate manual workflows, build information extraction and agentic capabilities, and establish evaluation frameworks. Collaborate with engineering, product, value engineers, and healthcare subject-matter experts to translate research into scalable solutions with measurable financial impact.

Build and lead Unframe’s western U.S. enterprise sales organization, managing Regional GMs across technology, media, and manufacturing. Responsibilities include hiring and coaching sales leaders, developing regional pipeline strategy, guiding complex multi-stakeholder enterprise deals, collaborating with Marketing, Product, and Customer Success, representing the company in market ecosystems, and shaping go-to-market strategy. The role requires frequent travel for customer meetings, executive sessions, QBRs, and industry events.

Owns full-cycle recruiting for engineering and research roles, partnering with hiring managers and founders to define candidate profiles, source passive talent, screen candidates, manage agencies, close offers, and build technical talent pipelines. The role focuses on hiring engineers and specialists in AI evaluations, security, research, and forward-deployed engineering while using funnel data, talent mapping, events, and networks to improve recruiting outcomes.

Supports the U.S. Attorney’s Office by managing witnesses before, during, and after trials. Responsibilities include coordinating travel and lodging, providing courtroom orientation, preparing reimbursement documentation, tracking hearings and appearances, maintaining files and databases, communicating with attorneys and federal agencies, and completing legal and administrative forms in accordance with DOJ procedures.

Supports the SVP of Engineering and VP of Project Finance by managing calendars, leadership meetings, travel, expenses, hiring logistics, confidential information, and follow-through. Owns day-to-day office administration, including facilities, vendors, supplies, access badges, visitors, onboarding, events, safety procedures, space planning, and workplace policies. Coordinates with Engineering, Finance, People/HR, IT, Legal, and Project Management.

Own platform reliability across APIs, websockets, inference jobs, and rendering workloads. Define SLOs, improve observability, manage Kubernetes and AWS infrastructure, strengthen queues and deployment safety, lead major incident response, remediate security findings, support SOC 2 and ISO evidence, and optimize GPU costs. The role also requires application-level TypeScript fixes, infrastructure as code, postmortems, and participation in an on-call rotation.