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Principal Security Research Manager - Red Team

Swiftkey

Redmond, WAJobPosted 1 day agoStill listed today

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At a glance

Compensation
No compensation found
Location
Redmond, WA
Work Authorization
Not specified

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Job overview

The Principal Security Research Manager will build and develop a multidisciplinary team and set attack strategy and severity standards for identifying weaknesses in advanced AI models, agentic systems, and AI-enabled products. The role leads hands-on red-team operations and high-fidelity attack campaigns, drives findings through verified remediation, and turns recurring weaknesses into regression evaluations and stronger controls. It also tracks emerging AI attack techniques and evolves team methods, tooling, and technical investments.

Skills & qualifications

RequiredNice to have

Skills

Red-Team Program LeadershipRisk AssessmentAdversarial Machine LearningOffensive SecurityLarge Language Model TestingAgentic Systems TestingTool-Use TestingIndirect Prompt Injection TestingAI Security ProductsHiringCoachingTalent DevelopmentTechnical CommunicationRisk CommunicationTechnical Function BuildingPartnership Development

Qualifications

Bachelor's in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering or Related Field + 8 Years or Master's in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering or Related Field + 6 Years8+ Years Related Experience6+ Years Related Experience

Full job description

Build and develop a team of specialists spanning adversarial machine learning, agent security, offensive security, attack automation and privacy. Set the attack strategy and severity bar for uncovering critical weaknesses in advanced AI models, agentic systems and AI-enabled products. Lead hands-on red-team operations across models, training and evaluation systems, agent frameworks, tools, identities and permissions to discover exploitable behavior before release. Design and operationalize high-fidelity attack campaigns, continuous adversarial testing and automated suites that reproduce realistic threats at scale. Drive critical findings to verified remediation with research, engineering and product security teams, converting recurring weaknesses into regression evaluations, adversarial environments and stronger controls. Produce clear, reproducible evidence that enables rapid severity decisions, focused engineering action and efficient independent security review. Track emerging AI attack techniques and real-world threat behavior, then evolve the team's methods, tooling and technical investments to stay ahead of them. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) These requirements include, but are not limited to the following specialized security screenings: Experience leading red-team programs and making evidence-based risk decisions across complex technical stakeholders. Hands-on expertise in adversarial machine learning or offensive security, with demonstrated technical fluency across both AI systems and security operations. Experience testing large language models, agentic systems, tool use, indirect prompt injection or AI-enabled security products. Experience, including hiring, coaching and developing applied scientists, security researchers or similarly specialized technical talent. Demonstrated ability to communicate technical findings, severity and residual risk clearly to engineering teams and senior decision-makers. Experience building a new technical function, hiring multidisciplinary talent and establishing effective partnerships with independent security or governance teams.

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