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Partner with sales teams to design and deliver technical demonstrations and evaluations for data security solutions. Gather requirements, configure custom product setups, lead hands-on evaluations, and guide customers to successful outcomes in strategic enterprise opportunities.

Partner with sales to design and present data security solutions for SLED customers. Lead technical evaluations, gather requirements, build test plans, configure proof-of-concepts, and guide customers to successful outcomes while collaborating across GTM teams.

Senior, full-cycle recruiter responsible for sourcing and hiring Sales Account Executives across the Americas. Build proactive pipelines via LinkedIn Recruiter and sourcing tools, partner with sales leaders on hiring strategy and compensation, manage interview scorecards and process, deliver pipeline health updates, and negotiate offers to close high-quality, diverse candidates.

Lead product strategy and commercialization for AI-focused software within Internal Firm Services. Drive innovation, market and competitive analysis, TAM assessment, go-to-market planning, and portfolio management. Set strategic direction, maintain executive client relationships, mentor teams, and validate revenue potential to support investment and commercialization decisions.

Lead design and execution of data architecture and GenAI/LLM-enabled systems using Python and cloud platforms. Mentor and manage a team, collaborate with stakeholders, implement IaC and DevOps pipelines, optimize cloud performance and costs, and ensure delivery quality and firm standards.

Provide tax advice to financial services clients (real estate focus), manage local and international tax matters, advise on pricing between related parties, support tax structuring for transactions, drive digitization and automation, mentor junior staff, build client relationships, and uphold professional and technical standards.

Lead district warranty and dealer service initiatives to improve customer retention by enforcing service policies, reducing warranty waste, managing goodwill claims, ensuring field action completion, conducting dealer audits and training, and supporting cross-functional and legal reviews. Maintain dealer relationships, host performance meetings, and execute business plans to meet district warranty and customer experience metrics.

Lead Zendesk configuration and optimization for Support Operations: design workflows, triggers, automations, SLAs, and reporting. Serve as primary Zendesk SME and business analyst, gather requirements, document system designs, support governance/change management, ensure security and role-based access, and collaborate cross-functionally to deploy integrations, testing, and adopt Zendesk AI capabilities.

Lead global cloud and hybrid datacenter infrastructure teams to ensure reliable, scalable, and secure foundational services. Drive cloud governance, FinOps, Infrastructure-as-Code adoption (Terraform/CloudFormation), automation, and collaboration with SRE, security, and product engineering. Manage hiring, performance, and platform modernization for large-scale SaaS environments.

Lead product strategy and execution for the MGA portfolio, drive AI agent adoption, manage roadmaps and backlogs, partner with GTM and engineering, build training and sales enablement, own business operations headcount, and measure success by retention, adoption, and customer satisfaction.

Design, implement, and maintain partner integration solutions; translate partner requirements into scalable technical implementations; troubleshoot and automate fixes; collaborate with product and engineering teams to improve tools and ensure successful partner onboarding and launches.

Lead and grow a model governance team to oversee model validation, monitoring, drift and fair-lending assessments, documentation, change management, and customer/regulatory interactions. Own strategy, customer-facing governance relationships, validation reports, remediation tracking, and hands-on mentorship when needed.

Lead and scale a model governance and quantitative risk team responsible for performance and drift monitoring, validation, documentation, remediation, and customer-facing governance. Set strategy for governance automation and standards, manage cross-functional relationships, prepare reports for customers/regulators, and perform hands-on model review and mentoring as needed.

Design, train, and productionize machine learning models for fraud and identity risk across the full ML lifecycle. Research new fraud types, perform feature engineering and labeling, write production-ready code for real-time decisioning, monitor models, and provide analyses to inform product, sales, and data acquisition.

Lead execution of integrated demand generation campaigns across paid digital, email/nurture, SEO, ABM, and events. Manage paid budgets, Salesforce campaign structure, attribution and pipeline reporting, partner/vendor relationships, and martech stack. Align marketing to Sales through pipeline reviews, win-loss analysis, and account tiering. Use AI tools to scale personalization and optimize channel performance.

Lead Cox Fleet process design, standardization, and continuous improvement across the business. Drive transformation initiatives (acquisitions, integrations), partner with stakeholders and BI to build metrics, govern process standards, prioritize technology enhancements, and manage implementation of process excellence and change management to improve efficiency and compliance.

Manage daily account activities for assigned fleets, including scheduling and processing repairs, estimating and auditing repair costs, coordinating vendor work, ensuring PM compliance, and following up on scheduled and unscheduled events to ensure timely, accurate invoicing and customer approvals.

Lead and grow a data engineering team that builds and operates ingestion, transformation, orchestration, and serving layers and a self-serve analytics substrate. Own data quality, observability, cost efficiency, SLAs, and engineering practices while partnering with Data Science, BIE, Analytics, and Product to deliver reliable, reusable data products.

Lead and scale Product Marketing operations: build operating models for messaging lifecycle, portfolio and roadmap visibility, PMM launch governance, cross-functional decision rights, templates, reporting, and AI/automation-enabled workflows to improve launch readiness and go-to-market execution.