Lead and grow the Application & Product Security squad by defining the roadmap, KPIs, and strategic direction for product and AI security. This player-coach role involves driving vulnerability management and offensive security programs while embedding AI-automated approaches into the SDLC.
Monarch Money
7 Remote Job Openings at Monarch Money
Senior Security Engineer, Detection and Response
Monarch Money
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Full Time
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16 days ago
Monarch Money
Build and maintain a detection engineering program and incident response pipelines using AI-augmented workflows. Govern enterprise AI platforms and partner with IT to harden SaaS platforms and endpoints.
The Manager, Customer Success will lead and develop a team of CS Leads while managing workload capacity and team growth. They will also handle complex customer escalations, drive process improvements, and represent the department in cross-functional initiatives.
You will lead technical execution for growth initiatives, including user acquisition, activation, and retention projects. You will also collaborate cross-functionally with product, design, and marketing teams to drive experimentation and improve user onboarding flows.
This role involves leading and scaling the design team through hiring, mentoring, and resource allocation to ensure the product maintains a high standard of usability and craft. Key duties include partnering with product and engineering leadership and establishing scalable design operations, including integrating AI-powered workflows.
The IT Support Engineer will own daily IT support operations for all hardware, software, and access requests across the distributed team, ensuring efficient resolution and high-quality response times. This role involves building and maintaining scalable automations using tools like Okta Workflows and AI platforms to streamline provisioning, access management, and operational tasks.
The engineer will apply Generative AI and Machine Learning to solve real financial problems for users, focusing on building intelligent features and advancing ML systems at the application layer. Key duties include choosing the right AI tools for each problem and leveraging evaluation frameworks to ship features with confidence.