Top Artificial Intelligence Operations & Support Jobs

The Strategic Sourcing Manager will manage procurement operations, develop sourcing strategies, negotiate supplier agreements, and collaborate across teams to optimize the supply chain.

Provide end-to-end IT support for engineering and operations, manage endpoints and MDM/MAM, administer identity and access (SSO/IAM), design and secure networks (VPNs, VLANs, firewalls), implement EDR/XDR, automate workflows (Python/Bash/PowerShell), and coordinate vendors to maintain high operational reliability and compliance.

Lead global IT operations for a HIPAA-regulated healthtech company, managing a small support team and hands-on ticketing. Build and maintain systems for compliance and visibility, optimize vendor costs, implement security/onboarding processes, drive process improvements with KPIs and automation, and serve as primary IT liaison to leadership and partners.

Own and scale critical legal-service workflows combining human expertise and AI. Design and implement operational processes across legal delivery, quality control, training, and client success. Partner with product and engineering teams to prototype internal tools, improve throughput, reduce errors, and operationalize playbooks, training systems, and incentives. This is an in-person, execution-focused operations role requiring end-to-end ownership in an ambiguous, high-stakes environment.

Provides frontline technical support for AI networking infrastructure. Diagnoses network performance, configuration, and connectivity issues; collaborates with hardware and software engineers on reproductions, workarounds, and fixes; creates troubleshooting documentation; develops product expertise; participates in 24/7 on-call coverage; and contributes to incident reviews and process improvements.

Business Operations professional supporting research planning, product-science coordination, resource allocation, roadmap development, evaluation processes, and strategic analyses. The role translates scientific and AI progress into operating plans and product outcomes, builds scalable planning systems, removes organizational bottlenecks, and partners with researchers, product leaders, founders, customers, and external collaborators. Candidates need scientific or quantitative training, 4+ years in strategy, operations, product, chief-of-staff, or related roles, and experience in technical or research-driven environments.

Own travel logistics and operational coordination for the Growth team, including booking transportation and lodging, managing last-minute changes, organizing trip information, and keeping events moving. The role also supports customer and project information management, cross-company communication, process improvement, and light calendar, inbox, and administrative support for a senior leader.

Support the CEO with scheduling, inbox follow-up, administrative coordination, recruiting workflows, event strategy, vendor coordination, research, and special projects. The role requires strong judgment, discretion, organization, written communication, and the ability to create structure in a fast-moving startup. It is an in-person position in San Francisco with broad responsibility across executive operations, office management, recruiting, and events.

Own customer support and payments risk operations for subscriptions, credits, and payments. Handle billing issues, refunds, disputes, chargebacks, fraud investigations, and account anomalies. Build workflows, escalation paths, macros, SLAs, and support metrics. Manage payment-platform and outsourced support relationships, partner with Product and Engineering on recurring issues, and scale internal and vendor operations as volume grows.

Own the revenue operations infrastructure supporting the full funnel from first touch through closed-won. Manage HubSpot and connected tools, CRM architecture, workflows, integrations, data hygiene, lead routing, enrichment, scoring, reporting, attribution, pipeline analytics, and forecasting data. Build scalable marketing workflows, playbooks, and automation while enforcing data quality and driving adoption across marketing, sales, and finance.