Top Cybersecurity Jobs in Memphis, TN

Lead the CrowdStrike Identity Security consulting practice at Kroll by assessing, architecting, implementing identity solutions, mentoring consultants, and advising clients on identity strategy.

Join At-Bay's DFIR team to handle incident investigations, recovery, and threat response while developing evidence and training for clients.

This role involves recruiting new partners, onboarding them, managing relationships, and ensuring strategic partners meet program requirements. You'll deliver value propositions, communicate product launches, and execute marketing programs to drive leads, all while meeting sales quotas.

Develop and scale brand narratives and messaging that simplify cybersecurity and AI concepts. Write website copy, campaigns, product launches, case studies, video scripts, executive thought leadership, and event content. Partner with executives, product marketing, design, demand gen, and communications to ensure consistent, distinctive voice and positioning across channels.

Lead enterprise AI opportunity discovery and architecture across business units, build ROI-driven business cases, evaluate and pilot AI tools and vendors, and partner with Engineering, Security, Legal, and Compliance to scale responsible AI solutions. Drive process discovery, solution design, vendor selection, and change management to translate strategic recommendations into measurable business outcomes.

Sell Horizon3.ai's NodeZero platform to mid-enterprise accounts in Southern California. Prospect and close new business, manage channel partner relationships, run demos and proof-of-value, track pipeline in Salesforce, drive post-POV ROI, and meet quarterly quotas while collaborating with distributed sales and customer success teams.

This is a general application for prospective candidates looking for future job opportunities with DefenseStorm across various locations.

The Software Engineer will manage edge networking configuration, evolve the ingress layer, build network observability, and support regional expansion while defining technical standards for the team.

Senior BI Data Researcher will lead research and engineering across modern data systems: big data management, data cleaning, quality, metadata, search/discovery, information extraction, time-series and heterogeneous analytics, applied AI/ML, distributed processing, and query/storage optimization. Collaborates with research teams to build scalable tooling, ML models across diverse modalities (tabular, time series, text, audio, video), and edge-enabled architectures.

Act as a strategic partner to Revenue Operations by analyzing performance, building executive dashboards and reports, improving CRM data quality and governance, supporting forecasting and pipeline management, and designing scalable processes and automations to increase efficiency and revenue visibility.