Top Artificial Intelligence Jobs

Own a portfolio of enterprise customers to drive ARR expansion and Net Revenue Retention. Build executive relationships, develop global account plans, identify and close $100K+ ACV expansion opportunities, and orchestrate cross-functional teams to ensure product adoption and measurable customer outcomes. Maintain accurate forecasting and influence product and strategic decisions to grow Sitetracker's footprint within large enterprise organizations.

First in-house Controller to build and own accounting infrastructure at a fast-growing AI startup. Lead month-end and quarter-end close, manage ERP/expense/payroll tooling, design scalable controls and automation, handle revenue recognition, tax coordination, audit readiness, and support FP&A, cash/burn tracking, and leadership reporting while directing an outsourced accounting team.

Lead growth strategy and execution for NFL and American sports product launches. Drive paid user acquisition, manage multi-channel campaigns, scale creator/influencer programs, oversee marketing budget, and build brand and community to improve retention and ROI.

Provide high-level executive support to the CEO: manage strategic priorities and complex scheduling, prepare briefings, track action items, serve as primary liaison, coordinate travel and expenses, handle confidential documents, and streamline executive workflows for operational efficiency.

Manage a book of enterprise customers to drive onboarding, adoption, retention, renewals, and expansion. Run kick-offs, project meetings, QBRs, and handle escalations. Collaborate cross-functionally to surface product value via data and ensure accurate account health and renewal forecasting.

Own post-sale technical delivery for enterprise AI solutions: onboard customers, assess data readiness, design AI workflows, deploy and integrate with enterprise systems, ensure security and compliance, define success metrics, and drive adoption, expansion, and ongoing customer success.

Design, build, and optimize production-grade Rust systems for low-latency model serving and real-time data ingestion. Implement high-throughput backend APIs, caching, and memory-efficient components. Debug distributed systems, establish benchmarking and monitoring, and collaborate with Applied Scientists to translate ML advances into scalable runtime systems.

Customer-facing senior engineer who deploys and operates an LLM-powered AI SRE product in enterprise environments. Own end-to-end implementations, integrations (observability, ITSM, ticketing, collaboration), migrations from incumbent AIOps platforms, incident response and RCA, alert normalization, and production-grade AI workflow design while driving customer outcomes and product feedback.

Own and grow a book of enterprise accounts for a compensation intelligence SaaS platform: drive adoption, retention, renewals, and expansion by advising CHRO/CFO stakeholders, orchestrating cross-functional teams, and delivering measurable value that converts into renewals and multi-product expansion.

Lead product marketing end-to-end for a security data lake: own positioning, messaging, content, launches, events, sales enablement, and competitive research to drive pipeline and revenue.