Nooks

Nooks

Security Engineer

San Francisco

Sponsorship not specified$200k-$315kDetected 21 days ago
AWSGCPLLMsAgentic AICybersecurityComplianceHubSpotResearchCommunication

About the role

  • Nooks is the Agent Workspace for Sales, where reps and AI agents execute and decide next moves together across 1M+ interactions per day.
  • As our second security engineer, you'll help secure a fast-growing, AI-native platform and the customer data that flows through it - across a rapidly expanding set of product surfaces.
  • This is a foundational, high-ownership role: you'll shape our security program from the ground up, including the novel challenge of securing AI agents and how they're used within organizations.

Responsibilities

  • Own security reviews and threat modeling for new and existing product surfaces.
  • Build and improve core security processes (secure SDLC, detection & response).
  • Harden our cloud and application infrastructure and drive remediation of high-priority risks.
  • Support enterprise customer trust: security questionnaires, compliance (SOC 2), and customer-facing security needs.
  • Partner closely with product and infra engineering to embed security into how we ship.
  • Nooks is an applied AI lab building the Agent Workspace for GTM.
  • We design AI agents that operate across the full sales action set, from account strategy to prospect research and outreach.
  • Building 0→1 has never been easier, but selling at the speed of the market remains the last frontier for AI.
  • A world-class team to build it with.
  • You'll partner with them to make security a first-class part of how we ship.

Requirements

  • 5+ years of hands-on information security experience.
  • Experience at a startup or early-stage company
  • comfort with ambiguity, autonomy, and high ownership.
  • Experience securing AI agents / LLM systems or governing AI agent use within an organization.
  • 4 - 5+ years of hands-on information security experience.
  • Strong fundamentals in application and/or cloud security (AWS/GCP).
  • Pragmatic judgment - able to prioritize risk and do more with less.
  • Clear communication and a collaborative, low-ego style.
  • Nice to haves
  • Enterprise compliance experience (SOC 2, ISO 27001).
  • At Nooks You'll Enjoy
  • An early seat on a small, high-leverage security team. You'll be one of our first security hires and help build out the function - its standards, tooling, and threat models - owning whole domains end-to-end as Nooks scales across many more product surfaces, with a clear path to grow into a senior or lead role.
  • A world-class team to build it with. Around 70 engineers, mostly former founders or founding engineers and veteran builders from places like Applied Intuition, Scale, Airtable, Citadel, and Jane Street, with thirteen Olympiad medals across the team. You'll partner with them to make security a first-class part of how we ship.
  • Frontier security problems. Securing AI agents and how they operate inside organizations is largely unsolved territory - you'll help define how it's done.

Compensation

  • Top-of-market compensation.

Company info

  • Our mission is to 10x every seller by automating the busywork so they can focus on what humans do best: closing deals.
  • Today, over 1,500 customers run on Nooks, including Notion, HubSpot, Cursor, and Rippling.

Equal opportunity

  • Nooks is an equal opportunity employer committed to fostering a diverse and inclusive workforce.
  • We believe in providing equal employment opportunities to all individuals regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other characteristic protected by law.
  • Nooks does not discriminate in hiring, promotion, compensation, or any other employment practices, and we are committed to ensuring a workplace that is free from discrimination, harassment, and retaliation.
  • We encourage individuals from all backgrounds to apply and join our team.

This listing is sourced directly from Nooks's careers page and normalized into a canonical job model.