Top Senior Level Jobs in Albuquerque, NM

Lead and coach a recruiting team while owning day-to-day talent acquisition execution across engineering, research, and go-to-market functions. Run full-cycle recruiting, support complex searches, build AI-assisted workflows and scalable recruiting systems, use funnel data to diagnose performance, develop recruiters, and improve hiring quality through structured interviewing and stakeholder coaching.

Own long-term workforce planning and capacity strategy across Customer Success channels. Develop forecasts, staffing models, scenario analyses, dashboards, and labor investment recommendations. Analyze staffing, productivity, occupancy, shrinkage, service levels, and automation impacts. Partner with Customer Success, AI, Data, Finance, Talent Acquisition, BPO providers, and senior leadership to guide hiring, budgeting, headcount planning, and operational improvements through data-driven insights.

Lead development of interactive safety visualizations, dashboards, analytical applications, data marts, and automated reporting for autonomous-driving safety. Build trusted, performant data products with quality monitoring, frequent refreshes, metric definitions, lineage, and statistical interpretation. Partner with safety engineers, data engineers, program teams, and executives to translate complex safety information into clear decision-support tools and continuous improvement insights.

Own partner marketing initiatives from go-to-market strategy and joint positioning through channel activation, campaign execution, optimization, and reporting. Develop partner messaging, campaigns, sales tools, enablement, and training while collaborating with Sales, Partnerships, Product, and Marketing. Analyze pipeline, revenue, engagement, and adoption performance; identify funnel improvements; manage budgets and resources; and lead multiple complex initiatives to drive partner-sourced growth.

Leads Toast’s AI and analytics strategy for Enterprise Care. Owns the roadmap, evaluates and deploys AI-assisted support tools, develops operational intelligence products, and partners with Product, Engineering, and Data teams to move pilots into production. Establishes complexity and workload intelligence, assesses AI readiness, translates AI performance into measurable operational outcomes, and builds organizational AI literacy. The role requires extensive enterprise support or service-delivery leadership, hands-on production AI experience, operational data fluency, and the ability to drive trusted adoption among agents and executives.

Build and productionize traditional machine learning models, owning feature engineering, validation, deployment, monitoring, drift detection, and retraining. Develop LLM-powered agentic tools, dashboards, self-serve analytics products, and automated insight pipelines. Partner with engineering and business stakeholders, write production-grade Python and SQL, drive adoption, improve data quality, and establish responsible AI workflows for a regulated industry.

Own end-to-end third-party security risk assessments, vendor tiering, reassessments, remediation tracking, and contract security reviews. Partner with Legal, Procurement, and business owners; support ISO, SOC, and FedRAMP audits; escalate unresolved risks; and maintain dashboards reporting third-party risk posture. The role also supports automation and AI-enabled vendor risk workflows and mentors junior team members.

Lead Babylist’s brand positioning, architecture, visual identity, creative studio, campaign concepting, video production, and partnership marketing. Build scalable, AI-enabled brand systems that help teams create on-brand work without manual approvals. Partner with product design, engineering, content, communications, and commercial teams to increase brand awareness, customer acquisition, and partner value while protecting brand consistency across the customer journey.

Build and manage Huntress’s Security Quality Management System for agentic and human-led SOC investigations. Establish sampling methods, review cadences, quality standards, validation criteria, scorecards, and reporting. Independently assess investigation decisions, identify drift and recurring failures, lead root-cause analysis, validate corrective actions, and improve security operations in partnership with Analysis, Product, Engineering, and Security Operations. Initially hands-on, the role is expected to grow into leadership of the QMS function.

Leads technical vision and strategy for Affirm’s Marketplace, Search, Ads Platform, and consumer experiences. Designs scalable full-stack platforms, guides architecture and technical excellence, coordinates initiatives across engineering teams, mentors engineers, and drives reliable delivery of customer-focused products across iOS, Android, and Web.