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Manage a team of TPRM analysts to run the vendor risk lifecycle, improve tooling and automation (ServiceNow TPRM, AI), perform assessments and audits, develop TPRM policies aligned to frameworks (NIST/ISO/SOC 2), partner with procurement/legal/IT, track KPIs, and support audit and reporting to leadership.

The VP of Agentic Systems will lead data science research and development, focusing on AI systems to enhance cybersecurity operations, requiring strong leadership and collaboration across technical teams.

Lead global Customer Success analytics strategy, architect data and health/adoption models, oversee data pipelines, deliver executive-level storytelling, mentor an analytics team, and drive cross-functional KPI alignment and self-serve BI adoption.

Manage end-to-end California workers' compensation claims, including complex/high-exposure files. Conduct investigations, determine compensability, set reserves, manage medical and indemnity benefits, control litigation and legal costs, negotiate settlements, and provide excellent service to agents and insureds while mentoring junior adjusters and improving claims processes.

Partner with financial institutions to assess technical needs, deliver tailored product demos, respond to RFPs, and coordinate with product, implementation, and customer success to drive deals and revenue growth. Serve as the technical bridge between prospects and internal teams.

Lead operational risk management for Workplace Solutions globally, assessing risks for new initiatives, overseeing risk assessments and testing, reviewing loss events, supporting regulatory deliverables, engaging with horizontal risk programs, preparing materials for governance forums, and promoting a strong operational risk culture across regions and stakeholder groups.

Manage a portfolio of 70–90 small business clients, deliver tailored business banking and cash management solutions, identify credit opportunities up to ~$500K, build relationships through in-person client calls, collaborate with internal partners, and follow risk and regulatory protocols.

Manage and deepen a portfolio of ~100 business clients (>$5M revenue), drive deposit acquisition, cash management and credit opportunities up to ~$15M, deliver tailored financial advice, collaborate with specialists, protect the firm via risk controls, and cultivate referrals and cross-sell opportunities.

Lead and grow a US-based data science team while remaining hands-on: design, build, deploy, and maintain production ML models; write code; implement MLOps on GCP/Vertex AI; mentor junior data scientists and ML engineers; establish workflows, standards, and code repositories; translate business problems into rapid, production-grade data science solutions.

Manage paid search, social, and app acquisition across North America. Execute strategy and day-to-day on Google Ads, Apple Search Ads, Meta, Snap, TikTok, X, Reddit. Lead associates, optimize budgets and campaigns, drive conversion and YoY digital KPI growth, implement advanced measurement (MTA, MMM, incrementality), work with MMPs, and collaborate with brand, CRM, and global teams.

Handle escalated multi-channel customer inquiries (billing, renewals, cancellations, RMAs), mentor peers, manage high-volume cases, improve processes, and provide actionable insights to improve customer experience and retention.

Build automated reliability and self-healing platform tooling to protect production at scale. Improve incident management, reduce alert noise, evolve observability (monitoring, SLOs, performance detection), and develop AI-driven operational automation. Partner with product teams to diagnose reliability gaps, drive incident prevention, and champion operational excellence and best practices across engineering.

Develop, train, and optimize computer vision and ML models (particularly video-based safety) using petabyte-scale camera and sensor data. Deploy and optimize models for backend and edge inference, collaborate with cross-functional teams, and translate customer needs into scalable ML/CV solutions.

Manage large-scale software and consulting projects end-to-end for enterprise customers. Coordinate cross-functional teams, executive stakeholder communications, escalations, delivery schedules, scope, risks, and revenue recognition while improving Professional Services PM processes, tools, metrics, and templates.

Lead technical engagements to install, migrate, configure, and onboard customers to GitLab. Create SOWs, migration plans, training, documentation, and automation; communicate risks/status; collaborate with Product and Engineering; support quoting and process improvements. Travel approximately 20%.

Manage a portfolio of U.S. public sector customers to drive adoption, retention, and expansion of the GitLab DevSecOps platform. Translate pre-sales plans into measurable objectives, coach on Git, CI/CD, and DevSecOps best practices, coordinate cross-functional responses, and run enablement and project initiatives to ensure customers realize business outcomes from GitLab.

Own and improve end-to-end payroll and partner operational processes across CX. Design scalable workflows, define SLAs and escalation paths, coordinate incidents, analyze data for trends and risks, and drive cross-functional process standardization using Zendesk, Slack, Asana, and related systems.

Provide technical support and escalations for payroll customers: troubleshoot payroll runs, taxes, benefits, integrations, and data flows; advise on payroll configurations and compliance; partner with Product and Engineering to drive improvements and prevent payroll risks.

Lead development and support of enterprise insurance applications on the Microsoft .NET stack. Design, build, and maintain secure, scalable systems and integrations, troubleshoot production issues, modernize architecture and cloud adoption, and improve CI/CD and automated testing while collaborating with product, project, and business stakeholders.

Handle incoming owner relations inquiries about revenue, land, division orders, JIB, A/R, and A&P. Log and follow up cases in a tracking system, build trusting client relationships, manage difficult situations calmly, provide accurate timely responses, and participate in cross-training.

Design, build, and maintain high-throughput data ingestion and processing pipelines; integrate AI-powered infrastructure; implement and support complex computing algorithms and distributed services; own systems end-to-end including architecture, observability, reliability, and operational support; lead architectural initiatives and reduce system complexity while maintaining performance on large-scale real-time data.