Software Engineer - Security

Foundr, LLC; San Francisco (CA); On-site; USD 180,000 - 300,000; Full time

Job summary

Foundr, LLC, a Series A AI company, is seeking the first dedicated security hire to own the function end-to-end as we scale. You will lead security strategy across product, infrastructure, and AI systems, balancing risk with rapid growth.

You will design secure cloud architectures (AWS/GCP), perform threat modeling and secure SDLC, implement logging/monitoring, and engage with enterprise customers on security and trust as we expand go-to-market.

Qualifications

• Security leadership experience at a high-growth startup or modern tech company
• Deep cloud (AWS/GCP) and application/infrastructure security expertise
• Hands-on IC who can own strategy in a 0-1 environment
• Credible with engineers and non-technical stakeholders alike
• Bonus: secured AI/ML systems, SOC 2 or ISO 27001 exposure

Responsibilities

• Define security strategy and roadmap across applications, infrastructure and corporate environments
• Design secure cloud-native architecture for AI pipelines and data protection
• Lead threat modeling, risk assessments and secure SDLC practices
• Oversee detection and incident response, including logging and monitoring
• Engage with enterprise customers on security and trust during scale

Skills

Security leadership

Cloud security

Threat modeling

Secure SDLC

Stakeholder mgmt

Tools

AWS

GCP

Job description

Series A AI company, early traction moving to scale

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Practice

Security

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Be the first security hire and own the function end-to-end across product, infrastructure and AI systems as the company scales.

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About the company

Series A AI company backed by S-tier VC's building the observability platform for the AI era. It has top-tier investors and experienced founders, and is moving from early traction toward scale. There is no dedicated security function yet.

What you'll own

• Security strategy and roadmap across application, infrastructure and corporate environments
• Secure architecture for cloud-native systems and AI/ML pipelines, including model integrity and data protection
• Threat modeling, risk assessments and secure SDLC practices across engineering
• Detection and response: logging, monitoring and incident response
• Security and trust conversations with enterprise customers as go-to-market scale

Who we're looking for

• Security engineering or leadership experience at a high-growth startup or modern tech company
• Deep cloud (AWS/GCP), application and infrastructure security expertise
• Hands-on IC who can also own strategy in a 0-1 environment
• Credible with engineers and non-technical stakeholders alike
• Bonus: secured AI/ML systems, built a program from scratch, SOC 2 or ISO 27001 exposure