Technical Account Manager, Managed Services Security

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation.

At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD.

We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived.

We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.

The Technical Account Manager (TAM) is a member of the AHEAD Managed Services Client Experience team, responsible for guiding clients through the strategic, operational, and technical aspects of their security transformation and driving measurable outcomes from AHEAD Managed Security Services. Working within AHEAD’s outcome-led delivery model, the TAM builds close client relationships to understand business goals, security challenges, and compliance requirements, and translates them into a prioritized roadmap that reduces risk and accelerates value realization.

The role calls for strong security depth across managed detection and response, security operations, endpoint protection, and incident response, combined with client-facing advisory skills and commercial acumen. A platform-first, multi-vendor mindset is essential: hands-on experience with Palo Alto Networks Cortex XSIAM and Cortex XDR is expected, but not exclusively—demonstrated fluency across other leading SIEM, XDR, and SOAR platforms and security automation is equally key. Experience with AI-enabled and agentic SOC operations—how AI, analytics, and automation accelerate detection, triage, and response and reduce mean time to detect and respond—is a core requirement of the role.