Productivity Security, Lead

Toyota North America • Plano, TX

3d

About The Position

We are seeking a highly skilled and versatile Senior Productivity Security Engineer to serve as a key technical lead and trusted right-hand partner to the National Manager of Productivity Security. This role will help drive the security strategy, engineering execution, and operational maturity of modern workforce technologies, including AI-driven productivity platforms, enterprise APIs, endpoint applications, browsers, and mobile environments. The ideal candidate is both strategic and hands-on — capable of translating security vision into scalable engineering outcomes while partnering cross-functionally with workplace technology, cloud, engineering, product, and governance teams. This individual will act as a senior technical advisor, lead complex initiatives, mentor junior engineers, and help operationalize secure-by-design productivity technologies across the enterprise.

Requirements

• 10+ years of experience in IT engineering with 2-3 years of cybersecurity specific engineering.
• Hands-on experience across one or more domains including endpoint security, AI security, API security, cloud security, application security, DLP, vulnerability management, or security operations.
• Technical understanding of AI security concepts, including prompt injection risks, data exposure pathways, model misuse, identity and access control considerations, and AI governance principles.
• Hands-on experience securing endpoint applications and browsers, including application control, endpoint privilege management, browser security, device hardening, and user activity protections.
• Familiarity with enterprise mobile security architectures, including MDM/MAM, mobile application protection policies, and secure mobile data handling.
• Ability to balance strategic thinking with hands-on engineering execution in a fast-moving enterprise environment.
• Strong communication and collaboration skills, with the ability to work effectively across security, engineering, workplace technology, cloud, and product teams.
• Experience contributing to security standards, operational procedures, technical roadmaps, and architecture reviews.
• Working knowledge of security frameworks and standards such as NIST, CIS Controls, OWASP Top 10, and OWASP API Security Top 10.

Nice To Haves

• Experience securing enterprise AI productivity platforms such as Microsoft Copilot, ChatGPT Enterprise, AWS Bedrock, developer copilots, or internally developed GenAI solutions.
• Hands-on experience with endpoint security technologies such as EDR, MAM/MDM, application allow listing, endpoint privilege management (EPM), browser isolation, or DLP-integrated controls.
• Familiarity with API security platforms, runtime protection technologies, or AI security tooling.
• Experience operating in highly regulated environments such as financial services, healthcare, or critical infrastructure.
• Exposure to AI governance frameworks, acceptable-use guardrails, model risk management practices, and audit-ready AI control programs.
• Experience mentoring engineers or serving as a technical lead for cross-functional security initiatives.

Responsibilities

• Serve as a senior technical lead and strategic partner to the National Manager of Productivity Security, helping drive execution, prioritization, and operational maturity across the program.
• Lead the engineering and implementation of security controls supporting AI-enabled productivity platforms, enterprise APIs, endpoint applications, browsers, and mobile technologies.
• Help design and operationalize secure AI usage patterns, including prompt protection, data leakage prevention, identity-aware access controls, workload isolation, and governance guardrails.
• Drive endpoint and browser security initiatives across managed devices, including application allow listing, endpoint privilege management, browser hardening, secure configuration baselines, and runtime protections.
• Support mobile security engineering efforts, including MDM/MAM integrations, mobile application protections, conditional access enforcement, and secure data handling controls.
• Partner closely with workplace technology, cloud, product, and engineering teams to embed security into productivity platforms and workflows by design.
• Conduct threat modeling, risk assessments, control reviews, and technical security evaluations across AI workflows, APIs, endpoint applications, and mobile ecosystems.
• Assist with the development and enforcement of security standards, engineering guardrails, implementation patterns, and operational procedures related to AI, APIs, endpoints, and productivity tooling.
• Investigate emerging threats, misuse patterns, and attack techniques impacting AI systems, workforce productivity technologies, and modern collaboration platforms.
• Contribute to roadmap planning, architecture reviews, incident response support, metrics development, and executive-level reporting on security posture and residual risk.
• Mentor and support junior engineers while helping establish engineering best practices, documentation standards, and repeatable operational processes.
• Act as a technical escalation point and provide leadership continuity in support of the manager and broader Productivity Security function.

Benefits

• A work environment built on teamwork, flexibility, and respect
• Professional growth and development programs to help advance your career, as well as tuition reimbursement
• Team Member Vehicle Purchase Discount
• Toyota Team Member Lease Vehicle Program (if applicable)
• Comprehensive health care and wellness plans for your entire family
• Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute
• Paid holidays and paid time off
• Referral services related to prenatal services, adoption, childcare, schools and more
• Relocation assistance (if applicable)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed