Cybersecurity IT Program Lead — AI-Driven Delivery

Quality Ai

United States

On-site

USD 140,000 - 150,000

Full time

8 hours ago

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Benefits offered by this job

Global opportunities

Diversity & inclusion

Employee events

Tech academy training

Referral bonuses

Competitive pay

Job summary

QualityAI is seeking a Senior IT Project Manager - CyberSec to lead cross-functional delivery across software, product, and operations. You will own end-to-end programs, drive data pipelines, and ensure readiness gates before production or factory release.

Ideal candidates have 8+ years in technical program management, strong Agile experience, and a proven track record coordinating multiple engineering teams under high visibility. The role emphasizes AI-driven metrics and executive communication.

Qualifications

8+ years of experience in technical program/project management.
Strong working knowledge of Agile/Scrum methodologies with sprint ceremonies.
Experience coordinating multiple engineering teams simultaneously with prioritization and risk management.
Comfort operating in high-visibility, high-pressure settings (executive demos, live troubleshooting).
Familiarity with AI/automation tools for reporting, tracking, or workflow optimization.
Excellent written and verbal communication skills, with the ability to flex between technical and executive audiences.

Responsibilities

Serve as the central point of coordination across software development, product management, and operations teams, ensuring deliverables are scoped, tracked, and landed on schedule.
Manage delivery of technical initiatives spanning infrastructure builds, automated test tooling, telemetry/debug systems, and large-scale data pipelines, often supporting hardware/device validation and bring-up processes.
Act as a checkpoint between engineering completion and downstream production or factory release, ensuring software meets validation and calibration standards before sign-off.
Take hands-on ownership of operational functions such as tech support workflows, community/user engagement programs, and device or fleet management, not just software timelines, but the people and processes that support them.
Coordinate closely between teams generating data and teams consuming it, ensuring outputs match evolving downstream requirements, including transitions between data sourcing methodologies.
Plan, script, and run live product demos for senior leadership and executive audiences, including real-time troubleshooting and contingency management to ensure flawless execution under pressure.
Build or leverage AI-powered agents and dashboards to automatically track deliverables, flag risks, and generate stakeholder-ready status reports, reducing manual reporting overhead and improving visibility.
Translate technical progress and blockers into clear, concise updates for both engineering leadership and non-technical executive stakeholders.
Prototype new workflows and approaches when no SOP exists, then codify learnings into scalable SOPs.
Manage and mentor a small team or group of coordinators/contributors supporting operational functions, fostering an AI-forward, efficiency-driven culture.