Top Cybersecurity Jobs in Memphis, TN

Own full-cycle recruiting for GTM and broader organizational roles, including sourcing, candidate engagement, screening, interview coordination, offers, and closing. Partner with hiring managers, build talent pipelines, maintain ATS data, improve candidate experience, and enhance recruiting processes, employer branding, and automation. The role requires strong sourcing, communication, organization, recruiting operations, and startup adaptability in a high-growth technology or cybersecurity environment.

Design user experiences and interfaces for AI-driven and modern web applications. Create wireframes, user flows, mockups, and interactive prototypes in Figma; support digital signature workflows; maintain design systems and reusable components; collaborate with developers, product owners, and stakeholders; provide implementation guidance; and review completed work against approved designs in an Agile environment.

Designs, implements, migrates, and optimizes Palo Alto Networks security solutions for enterprise and data center customers. Owns projects end to end, including architecture, documentation, testing, implementation, customer workshops, and knowledge transfer. Develops delivery standards, reference architectures, service offerings, and deployment templates; mentors engineers; supports presales; and builds partner relationships. Requires deep Palo Alto expertise, network security engineering experience, data center networking knowledge, customer-facing communication, and relevant certifications.

Lead complex digital forensics and incident response engagements from investigation through containment and recovery. Serve as the primary client advisor to executives, legal counsel, insurers, and technical teams during ransomware, cloud compromise, insider threat, and advanced attack incidents. Direct forensic analysis across endpoint, cloud, identity, SaaS, email, and network environments; coordinate consultants and analysts; deliver executive briefings, remediation guidance, tabletop exercises, and post-incident reviews.

Leads Prove’s global implementation organization and owns the strategy, processes, and delivery engine for customer onboarding and API integrations. Responsibilities include scaling distributed teams, standardizing implementation playbooks, reducing time to live, improving margins, overseeing complex integrations, coordinating with Sales, Finance, Product, and Engineering, and engaging executive customer stakeholders. The role also establishes KPIs covering onboarding health, revenue recognition, resource utilization, customer success, and implementation satisfaction.

Creates and maintains technical documentation, training materials, marketing content, sales enablement assets, product messaging, and social media communications. Translates complex technical capabilities into accessible materials for government, defense, law enforcement, commercial, and internal audiences. Collaborates with Product, Marketing, SMEs, and Account Managers; administers Academy learning resources, maintains documentation workflows, and updates content based on product changes, analytics, and feedback.

Leads global demand generation strategy, team, budget, campaigns, events, lifecycle marketing, marketing operations, and pipeline results. Builds a predictable, data-driven pipeline engine across North America, EMEA, and APJ; partners with Sales, Product Marketing, Customer Success, Revenue Operations, CRO, and Finance. Owns funnel measurement, lead scoring, attribution, martech vendors, program ROI, and executive reporting while hiring and developing a multi-level team.

Supports end-to-end payroll and timekeeping, including data entry, timesheet review, pay adjustments, discrepancy resolution, certified payroll, and compliance with federal contractor requirements. Assists with onboarding, background checks, employee separations, employment verifications, and HRIS updates. Provides payroll and timekeeping support to employees and managers while safeguarding confidential information and maintaining accurate, audit-ready records.

The AI Engineer designs, develops, and operationalizes responsible AI systems, including generative AI applications, RLHF models, guardrails, prompt engineering, and RAG frameworks. Responsibilities include evaluating and fine-tuning models, developing Python applications on cloud platforms, implementing ML software engineering practices and CI/CD pipelines, and collaborating with stakeholders on AI roadmaps and delivery. The role requires leading complex AI/ML initiatives and translating technical concepts for diverse audiences.

Develop and validate machine learning and predictive models, perform statistical and data analysis, conduct ETL across repositories, and assess model quality. Communate findings through visualizations and written reports, automate analytical workflows, and collaborate directly with nontechnical customers to refine requirements and deliver data-driven solutions. The role requires expertise in ML/AI, programming, cloud environments, CI/CD, and government or safety-critical systems.