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Senior Full-Stack Engineer

Candor· Engineering
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Hybrid (San Francisco, CA)$150k - $250kFull-timePosted 3mo ago

About the role

Candor is building the insider threat layer for the modern enterprise. The role involves building the core product end to end across frontend, backend, data, and AI workflows, with a focus on security infrastructure, UX, and reliable systems.

Responsibilities

  • Build the core product end to end: investigation workflows, AI-assisted triage, detection modules, enterprise integrations, reporting, and containment actions across tools like Microsoft 365, Slack, Okta, CrowdStrike, SIEMs, and ServiceNow.
  • Own features from ambiguous product spec to shipped customer value.
  • Work across frontend, backend, data, and AI workflows with a product mindset.
  • Collaborate directly with founders in a small YC-backed team in San Francisco.

Qualifications

  • 3+ years building production web applications across the stack
  • Strong TypeScript, React, Node.js, and PostgreSQL fundamentals
  • Experience owning features from ambiguous product spec to shipped customer value
  • Comfort working with complex data models, background jobs, APIs, and third-party integrations
  • Good product sense: making powerful workflows feel simple and fast

Skills

Required:TypeScriptReactNode.jsPostgreSQL
Nice to have:AI/LLM conceptsAuth, permissions, audit logs

Benefits

  • Not specified in the description
Last updated Oct 25, 2026. Interested? Apply on the company site.
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About Candor

Protect your data and stop insider risk

Candor is agentic data loss prevention (DLP) and insider risk management. Employees share sensitive data with third parties and email source code to personal inboxes every day. For fast-moving companies, protecting these crown jewels and customer trust is core to closing deals. Legacy DLP tools can cross off compliance checkboxes but flood security teams with false positives. Candor's AI agents understand both the data movement and the person behind it, giving lean security teams broad coverage without the noise.

Artificial IntelligenceCybersecurity