5 дней назад
Senior Product Manager (Cybersecurity)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager (Cybersecurity): Leading the end-to-end product lifecycle for complex cybersecurity and SaaS product initiatives with an accent on product strategy, customer discovery, cross-functional execution, and data-driven decisions. Focus on building unified data models across heterogeneous systems, applying GenAI and LLM capabilities in cybersecurity, and optimizing products for customer and business impact.
Location: Hybrid in Albuquerque, New Mexico; candidates must reside in or be within commuting distance of Albuquerque. Candidates must be legally authorized to work in the United States without current or future employer sponsorship.
Company
is an AI-native cybersecurity company providing a Preemptive Exposure Management Platform that helps organizations identify exploitable risks and prioritize remediation.
What you will do
- Own the end-to-end product lifecycle for a key product domain, from ideation and customer discovery through launch and iteration.
- Define product vision, strategy, and roadmaps aligned with customer needs and company goals.
- Partner with engineering, design, go-to-market teams, and executive stakeholders to deliver high-impact features.
- Use user research, analytics, and customer feedback to guide product decisions.
- Define success metrics, monitor product performance, and optimize customer and business outcomes.
- Mentor product colleagues and help raise product management standards across the organization.
Requirements
- 6+ years of product management experience.
- Bachelor’s degree in engineering or computer applications preferred; an MBA is an advantage.
- Proven success leading product initiatives at scale in SaaS and B2B environments.
- Experience in cybersecurity or the technology industry, with strong technical fluency and data analysis skills.
- Experience designing unified data models by identifying and normalizing patterns across heterogeneous systems.
- Understanding of time and space complexity modeling, GenAI and LLM applications in cybersecurity, and regulatory frameworks for product design.
Nice to have
- Experience in high-growth or startup environments.
- MBA degree.
Culture & Benefits
- AI fluency is expected in daily work, with responsible validation of AI-generated outputs.
- Close collaboration with executive leadership in a high-growth environment.
- Medical, dental, vision, life, AD&D, and disability insurance.
- Unlimited paid time off and a 401(k) benefit.
- Benefits enrollment and management through Rippling.
Hiring process
- Employment is contingent upon successful completion of a background check, including prior employment verification.
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