Senior Technical Program Manager

Design and operate the intake, prioritization and engagement-planning process for embedded assignments, release-focused pre-gate reviews and ad hoc requests. Maintain the findings lifecycle from initial report through severity assessment, ownership, remediation target, adversarial validation, closure and conversion into durable regression coverage. Coordinate red-team engagements across model, evaluation, engineering and product milestones, identifying dependencies and schedule risks early. Build clear pre-gate packages containing threat models, attack coverage, findings, fixes, residual risk and supporting evidence for independent review. Establish program metrics and operating reviews covering engagement coverage, escape rate, time to verified fix, finding durability and review efficiency. Facilitate severity and residual-risk discussions, document decisions and escalate unresolved issues through the agreed MART, AIRT, RAI and DSB processes. Partner with researchers and engineers to ensure findings are reproducible, actionable and assigned to accountable owners with realistic delivery dates. Manage relationships and operating agreements with AIRT, the MAI Red Team, product security teams, the AI Offense squad and other partner organizations. Develop concise executive reporting that communicates attack coverage, material risk, remediation status and decisions needed without obscuring technical evidence. Continuously improve the team's workflows, tooling requirements, engagement templates and governance interfaces as MART scales. Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. Experience managing complex technical or security programs across research, engineering, product and governance stakeholders. Demonstrated ability to establish operating processes, manage dependencies and drive high-priority findings or risks to accountable resolution. Ability to communicate technical risk, severity, trade-offs and residual uncertainty clearly to both technical teams and senior decision-makers. Experience with AI security, adversarial machine learning, red-team operations, product security, incident response or vulnerability-management programs. Knowledge of agentic systems, large language models, security evaluation, offensive-security workflows or AI governance and launch-review processes. Experience defining severity frameworks, managing confidential findings and coordinating remediation across multiple product or engineering organizations. Experience building metrics, dashboards, executive reviews and evidence packages for security, compliance or risk decisions. Demonstrated ability to build a new technical program, create trusted cross-organizational partnerships and operate effectively in ambiguous environments.