Senior Product Security Engineer

Why Join Doppel

Doppel is building the future of social engineering defense. Our AI-native platform uses agentic AI to protect executives, employees, customers, and brands from phishing, impersonation, fraud, and other AI-powered threats across digital channels. We help some of the world’s most recognized brands detect and dismantle attacker infrastructure while strengthening employee resilience through threat-informed training and simulation. By unifying Digital Risk Protection, Human Risk Management and Email Security, Doppel connects threats into a real-time intelligence graph to power faster disruption, smarter defense, and modern security awareness at scale.

Backed by leading investors including Andreessen Horowitz and Bessemer Venture Partners, and trusted by leading enterprises, Doppel is a rapidly growing Series C startup building the future of social engineering defense. Our team combines deep cybersecurity expertise, operational rigor, and startup velocity to solve some of the internet’s most urgent trust and safety challenges.

The Role

At Doppel, we focus on building a culture where people feel respected, supported, and trusted to do meaningful work. We value clarity, collaboration, and solving real problems for our customers and teammates.

We’re looking for a Product Security Engineer to support and scale our product and cloud security efforts by embedding security into engineering workflows and serving as a subject matter expert on all things security. The candidate will partner closely with engineering teams to conduct architecture reviews, design secure solutions to complex problems, improve and maintain our tooling (both first and third-party) and guardrails, and help design a well-rounded security program in a world where code gets written by AI and velocity is ever increasing. In addition to hands-on execution, the role emphasizes enablement providing guidance, documentation, and mentorship to engineers, along with clear communication and reporting to security leadership.

This role is open remotely across the U.S. and Canada, or hybrid from our New York, San Francisco, or Toronto office.

What You Will Do

Partner with product and engineering teams on architecture reviews, threat modeling, and secure design, translating complex security risks into practical recommendations and clear tradeoffs.

Evaluate and roll out AI-assisted and agentic security workflows to increase security coverage and accelerate reviews, triage, and remediation, with appropriate validation and human oversight.

Improve and maintain our first- and third-party security tooling, including our in-house ASPM platform, to reduce noise, improve prioritization, and make findings easier for engineering teams to act on.

Strengthen security controls throughout the SDLC and CI/CD pipeline, including code and dependency scanning, software supply chain protections, and safeguards for AI-assisted development, without introducing unnecessary friction.

Serve as a GCP security subject matter expert, advising engineering teams on secure patterns for networking, data protection, secrets management, workload runtimes, and logging and monitoring.

Partner with infrastructure and engineering teams to implement least-privilege IAM, secure workload identities, and durable security guardrails through policy and infrastructure-as-code.

Drive vulnerability management from triage through resolution: validate findings, assess risk, establish ownership, track remediation against SLAs, and document exceptions and risk acceptance.

Coordinate penetration testing engagements, including vendor selection, scoping, testing logistics, findings validation, and remediation and retesting with engineering teams.

Help shape and scale our product security program by identifying gaps, prioritizing improvements, and communicating risk, progress, and outcomes to security leadership.

Enable engineers to make sound security decisions through practical documentation, reusable guidance, targeted training, and mentorship that keeps pace with how teams build and ship.

What We Are Looking For

5–7 years of experience in product security, cloud security engineering, software development or a related field.

Practical experience applying AI and agentic workflows to accelerate security reviews, vulnerability triage, and remediation, with a strong understanding of the security risks associated with AI-assisted development.

Strong knowledge of Google Cloud Platform (GCP) services and security best practices, including IAM, networking, data protection, and workload runtimes.

Hands-on experience with penetration testing coordination, threat modeling, and risk assessment.

Demonstrated proficiency in Python and cloud-native programming or scripting languages to design and maintain security automation, policy enforcement, and continuous compliance controls using Infrastructure as Code.