Top Tech Jobs & Startup Jobs in Wilmington, NC

Leads Zscaler’s scaled partner sales organization, owning revenue strategy, quota, pipeline, forecasting, and commercial performance across low- and no-touch sales, MSSPs, MSPs, distributors, and cloud aggregators. Builds repeatable partner-led and digitally assisted sales motions, recruits and activates partners, drives recurring revenue and customer expansion, and aligns Sales, Marketing, Enablement, Product, Finance, and Operations. Uses analytics, automation, and AI to improve partner productivity, conversion, sales efficiency, and cost to serve.

Leads client discovery and analysis for facilities management solutions, analyzing operational and financial data, building business cases, developing proposals, and presenting executive recommendations. Partners with sales, operations, product, and implementation teams to shape deliverable solutions, support deal strategy, and create repeatable value models and enablement tools. Requires commercial facilities management expertise, financial modeling, advanced Excel, executive presentation skills, and experience with dispersed multisite portfolios.

Drive full-cycle enterprise SaaS sales across Fortune 500 accounts through strategic territory planning, pipeline development, complex deal negotiation, quota attainment, and land-and-expand opportunities. Build relationships with C-suite and digital product leaders, develop ROI-focused business cases, use consultative discovery and sales methodologies, and partner with delivery teams to support post-sale success.

Monitor and triage security alerts, support incident response and vulnerability remediation, review logs, tune SIEM detections, and maintain security documentation. The role contributes to risk assessments, control improvements, automation, dashboards, and operational playbooks while collaborating with internal teams. It requires familiarity with EDR, SIEM/SOAR, CSPM, vulnerability management, firewalls, cloud environments, networking, operating systems, security frameworks, and common attack techniques.

Owns complex property subrogation recovery efforts, including investigation, liability evaluation, evidence preservation, expert and litigation strategy, vendor and counsel oversight, negotiation, reserving, and reporting. The role also trains claims adjusters, identifies high-value recovery opportunities, manages multi-state legal considerations, and improves the broader recovery program in a remote environment.

Leads enterprise data protection and AI security strategy, architecture, and execution. Builds and manages security engineering teams; oversees Microsoft Purview classification, labeling, DLP, endpoint protection, insider risk, and DSPM. Defines security controls for generative AI, LLMs, agents, and AI-enabled SaaS; guides AI governance and vendor assessments. Partners with Security Operations and Incident Response to address data exfiltration, insider threats, and AI-related incidents while meeting regulatory and contractual obligations.

Leads hands-on product design for data, analytics, intelligence, and AI products while building Digible’s design function. Responsibilities include managing and mentoring a product designer, shaping product strategy, leading customer research, creating design principles and systems, establishing design operations and career frameworks, and driving AI-native design practices. The role partners closely with product, engineering, agency, and leadership teams to improve customer engagement, trust, consistency, and design velocity.

Lead a small, hands-on engineering team responsible for analytics infrastructure and member growth. Own technical strategy for ClickHouse-powered analytics, data visualizations, and LLM-enabled data experiences, while guiding onboarding and activation roadmaps. Write and review code, design experiments, partner with product and design, make architectural decisions, and hire, mentor, and develop engineers. The role requires strong web application experience, product judgment, communication skills, and expertise across Ruby on Rails, databases, ReactJS, and TypeScript.

Lead compensation analysis and programs, including market pricing, pay ranges, compensation cycles, offers, promotions, equity, budget modeling, and process improvements. Build scalable compensation tools and frameworks, use AI and automation, improve data quality across Workday, Pave, and Carta, and advise HR, Talent Acquisition, Finance, and managers on compensation decisions.

Partners with Account Executives to support mid-market sales through discovery, customized product demonstrations, solution design, RFI/RFP responses, and value-based selling. Translates customer challenges into measurable outcomes, advises technical and business stakeholders, explains APIs and integrations, and collaborates with Product, Engineering, Customer Success, and Marketing. Requires strong communication, analytical, and problem-solving skills, plus willingness to travel 15–20%.