Boston, Massachusetts, United States
Onsite
7AI is the foundational AI security company. Founded in 2024 by Cybereason co-founders Lior Div and Yonatan Striem-Amit, we came out of stealth in February 2025 to take on the non-human work of the SOC. Our platform pairs a federated SIEM with AI agents that detect, investigate, respond, and hunt, plus dedicated threat hunting and threat intelligence, with humans on the loop.
Backed by $166 million in total funding from investors including Index Ventures and Blackstone, we're building the AI foundation for security operations in the agentic era, and we're still early. That's the appeal: you'll join at a pivotal stage where your work shapes what 7AI becomes, alongside security veterans who've built this before. Our culture runs on respect, collaboration, and a shared bar for excellence, all pointed at one goal, delivering real outcomes for the customers who trust us to defend them.
AI-generated code is now central to how software gets built, and most security processes weren't designed for that pace or that risk. You'll join 7AI's Platform team to close that gap, building security into our products, platforms, and engineering workflows from day one rather than bolting it on after the fact. Rather than acting as a gatekeeper, you'll partner directly with engineers, product, and platform teams to build secure-by-default systems that let the organization move fast with confidence, and help define the guardrails and architecture patterns that let engineers use AI safely. This is a hands-on role: you'll work in code, build platform capabilities, and solve security problems through engineering rather than process.
Define and evolve secure architecture patterns for products, services, internal tools, and platform capabilities across 7AI.
Partner directly with engineering teams throughout the software development lifecycle to design, implement, and ship secure systems.
Build security guardrails, automation, and platform capabilities that let developers move quickly within secure boundaries.
Operate and continuously improve our SAST, SCA, CSPM, and other product security tooling.
Design and implement approaches for safely using AI-generated code, agentic workflows, and AI-powered developer tooling.
Work with Platform and DevOps engineers to integrate security controls directly into developer workflows, CI/CD pipelines, infrastructure, and deployment systems.
Identify security risks through architecture reviews, threat modeling, code review, and hands-on investigation, then work with engineers to fix them.
Contribute code, prototypes, tooling, and platform services that improve security across the engineering organization.
Help define security standards and development workflows that can scale with the company as it grows.
Act as a trusted technical partner to engineering teams, balancing security, usability, and delivery speed.
Join customer and partner security discussions when deep technical expertise is needed.
6+ years of software engineering, security engineering, or product security experience in modern cloud-native environments.
Strong understanding of secure application and system design, including authentication, authorization, secrets management, software supply chain security, and common application vulnerabilities.
Comfortable reading, reviewing, and contributing production code in at least two of Python, TypeScript, or Rust.
Experience implementing and tuning SAST, SCA, dependency management, and CSPM tooling.
Experience designing security controls and secure development workflows that integrate directly into engineering processes.
Hands-on experience building developer tooling, platform services, automation, or infrastructure that improves security outcomes.
Strong threat modeling and architectural reasoning skills, with the ability to translate security concerns into practical engineering solutions.
Ability to work collaboratively with product, platform, and engineering teams and influence decisions through technical credibility.
Excellent written and verbal communication skills.
Ability to balance security rigor with engineering velocity in a fast-moving product environment.
Experience securing AI platforms, LLM-powered applications, agentic systems, or AI-assisted software development workflows.
Experience building internal developer platforms, engineering enablement systems, or platform engineering capabilities.
Familiarity with AWS, GCP, or Azure.
Experience contributing to security tooling, open-source projects, developer infrastructure, or platform services.
Experience in high-growth startups where pragmatism, ownership, and execution matter more than organizational boundaries.
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