---
title: 'Frontend Developer at detections.ai'
canonical: 'https://feeny.ai/job/frontend-developer-detections-ai-california-6mmhb82dxzbv'
type: 'job'
last_seen: '2026-09-05'
---

# Frontend Developer at detections.ai

- **Company:** detections.ai
- **Location:** California, United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2025-08-28
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.gem.com/detections-ai/am9icG9zdDqPCPEE5_QcbLdhsVS3AaDn

## Job description

Design the platform that makes threat detection feel like a superpower. Build experiences that turn complexity into clarity.

We're looking for a frontend engineer who believes security tools don't have to feel like they were designed in 2003. You'll craft the experiences that help detection engineers stop threats faster—turning overwhelming data into intuitive workflows that actually make sense.

The Mission: Transform how security teams interact with detection tools. Your interfaces will make writing YARA rules feel as natural as writing code, make threat hunting as intuitive as web search, and make complex security decisions feel obvious.

You'll Own:

- Detection rule builders that make complex logic feel simple without sacrificing power
- Real-time dashboards that surface critical threats from billions of events
- AI-powered copilot interfaces that feel like having a senior analyst at your shoulder
- Collaborative workflows that turn isolated analysts into connected teams
- Visual query builders that make threat hunting accessible to everyone

You Bring:

- 5+ years building modern web applications that people actually enjoy using
- React.js mastery, TypeScript fluency, and an eye for performance
- Product thinking - you build features users love, not just tickets closed
- Security-first mindset - you understand why RBAC and audit logs matter
- Full-stack capability - comfortable from CSS animations to API integration

Stand Out With:

- Experience with security tools (SIEMs, SOARs) - you know why security UX is uniquely challenging
- Track record building AI-enhanced interfaces (copilots, assistants)
- Background in data visualization or complex query builders
- Understanding of detection languages (YARA, Sigma, KQL)
- Experience with real-time, high-stakes applications

Tech Stack:

- Frontend: React.js, TypeScript, Tailwind CSS
- State Management: Your choice - we care about results, not religious wars
- Backend: Node.js, Python (FastAPI)
- AI Integration: OpenAI, Anthropic, Gemini
- Tooling: Figma, Storybook, modern CI/CD

Why This Matters: Every interface you build directly impacts how quickly threats get detected and stopped. Bad UX in security doesn't just frustrate users—it creates blind spots that attackers exploit.

The Offer:

- Remote-first with meaningful equity
- Work directly with security practitioners who use what you build daily
- Ship features that protect millions of systems worldwide
- Define the UX patterns that will shape security tools for the next decade

Ready to make security tools that look and feel amazing? Show us something beautiful you've built and tell us why security deserves better UX.

## About detections.ai

## Company Overview
- **One-liner**: A community-driven platform for detection engineers to share, discover, and build security detections across multiple SIEM languages.
- **Entity Type**: Private (Seed stage; Seed round in November 2025 led by Modern Technical Fund)
- **Headquarters**: San Francisco, California, United States
- **Founded**: Not publicly available (seed round in 2025 suggests a very early-stage startup)
- **Founders**: Prasanth Ganesan (Co-Founder & CTO) – other co-founders not publicly named

## Core Business
- **Primary industry**: Computer and Network Security (Detection Engineering)
- **Target customers**: B2B – detection engineers, security operations teams, enterprises running SIEM/EDR platforms
- **Mission or purpose**: "Building better detections, together" – a world where detection engineers collaborate openly, knowledge compounds, and no one solves the same problem twice.

## Products & Services
- **Community Platform (Free, Forever)**: Browse 20,000+ community-contributed detections in languages including Sigma, KQL, SPL, YARA, YARA-L, S1QL, Cortex QL, CQL, and Suricata. Save, publish, and translate across 9 languages.
- **AI Assistant**: Paste a threat intel report, blog post, or threat actor profile; AI drafts a detection and refines logic iteratively. Also translates detections between SIEM formats while preserving logic.
- **Intel Exchange**: Structured threat reports scored on actionability (1-10) linked to existing detections and CVEs. Publicly browseable.
- **Enterprise** (launched July 2026): Private team workspace, governance, coverage tracking across multiple SIEMs, AI Agents that audit for drift, staleness, noise, and overlap. Deploy back to SIEMs. Coverage reports.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Total funding – Seed round (November 2025) from 3 investors led by Modern Technical Fund; amount not disclosed
- **Notable Investors/Partners**: Modern Technical Fund (lead), plus two other unnamed investors. No strategic partners publicly listed.
- **Growth Signals**: Headcount grew +533.3% YoY (15 employees as of mid-2026); 16,000+ detection engineers use the community; Enterprise launch with AI agents; webinars and growing contributor base; monthly website traffic up 16% (1,509 visits, small but growing).

## Competitive Advantages
- **Community-led library**: 20,000+ detections contributed by peers – network effects make the platform more valuable as more engineers join.
- **Multi-language translation**: Seamlessly convert detections between 9 SIEM languages (Sigma, KQL, SPL, YARA-L, etc.) without manual porting.
- **AI-assisted detection generation**: Reduces time from threat intel to working detection – "coverage before lunch".
- **MITRE ATT&CK mapping**: Coverage visibility across the entire detection stack.
- **Open platform**: Free tier for individual contributors encourages widespread adoption and community trust.

## Strategic Focus
- **Enterprise adoption**: Monetizing the community platform with a paid Enterprise tier that adds governance, AI agents, and coverage tracking.
- **AI agent expansion**: Continuous auditing and tuning of detection libraries to reduce noise and drift.
- **Growing the contributor base**: Encouraging high-quality submissions through contributor features (subscriptions, webinars) to deepen the content moat.

## Why Work Here
- **Culture**: "Detection-obsessed" – a tight-knit team of domain experts passionate about collaborative security engineering. Emphasizes knowledge compounding and open sharing.
- **Remote-first**: Fully remote environment (employees in United States and Canada).
- **Growth stage**: Early-stage startup with rapid headcount growth (+533% YoY) – opportunity to shape product and culture.
- **Tech stack**: Modern tools including TypeScript, React, Python, PyTorch, Elasticsearch, Docker, GitHub Actions, and multiple cloud services (AWS likely).
- **Notable perks**: Not explicitly listed, but typical of seed-stage remote startups: flexible hours, equity, direct impact on product direction.

## Sources
1. [detections.ai](https://detections.ai)
2. [About – Detections AI](https://detections.ai/about)
3. [Built In – detections.ai](https://builtin.com/company/detections-ai)
4. [LinkedIn – detections.ai](https://linkedin.com/company/detectionsai)
5. [Gem Careers – detections.ai](https://jobs.gem.com/detections-ai)

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- [Data Engineer](https://feeny.ai/job/data-engineer-detections-ai-california-yy7cb2nan10h) — California, United States
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