11 дней назад
Staff Product Security Engineer (AI)
158 400 - 247 500CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Product Security Engineer (AI): Improving the security architecture of SaaS products used by clinics with an accent on systemic vulnerability analysis, secure development practices, and AI-assisted security automation. Focus on designing architectural fixes, leading package repository and SCA initiatives, improving GitHub workflows, and mentoring developers across product teams.
Location: Canada; remote-first
Annual salary: $158,400–$247,500; typical starting salary: $188,100
Company
is a founder-led SaaS company building software and tools used by more than 70,000 clinics and businesses to manage bookings, charting, billing, and patient care.
What you will do
- Turn recurring application security findings into architectural fixes by identifying systemic vulnerability patterns and partnering with product teams.
- Lead product security projects involving private package repositories, software composition analysis tooling, development lifecycle improvements, and GitHub workflows.
- Build AI-assisted vulnerability analysis, reporting, reminders, and draft fixes closer to the code.
- Promote secure development practices by explaining risk clearly and building trusted relationships with developers and stakeholders.
- Own security initiatives, represent Product Security in cross-functional groups, and mentor teammates as the most senior hands-on engineer.
Requirements
- Staff-level application security experience, including ownership of security initiatives from start to finish.
- Professional development experience with Ruby on Rails preferred; Python, Java, or C# experience is also relevant with willingness to work in a Rails codebase.
- Ability to review pull requests and assess whether security fixes address the underlying issue.
- Experience driving architectural security improvements with engineering teams rather than only reporting individual vulnerabilities.
- Strong communication and relationship-building skills, including the ability to explain risk plainly and challenge decisions constructively.
- Hands-on experimentation with AI in security work, preferably through automation; experience securing AI product features is valuable.
Culture & Benefits
- Remote-first work environment with colleagues across Canada, the United States, and the United Kingdom.
- Regular career development and compensation conversations focused on growth.
- Access to tools, support, and time to experiment with AI across the organization.
- Open communication, adaptability, learning agility, and collaborative problem-solving are valued.
- Comprehensive benefits package.
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