--- title: 'Security at Phoebe' canonical: 'https://feeny.ai/job/security-phoebe-06cqphx7nqts' type: 'job' last_seen: '2026-11-08' --- # Security at Phoebe - **Company:** Phoebe - **Last confirmed live:** 2026-11-08 - **Apply:** https://www.ashbyhq.com/security ## About Phoebe ## Company Overview - **One-liner**: Phoebe is an AI agent platform that helps engineering teams troubleshoot, diagnose, and prevent software failures by automatically searching across logs, metrics, traces, and code to find root causes and generate fixes. - **Entity Type**: Private (Seed-stage; raised $17M) - **Headquarters**: London, United Kingdom - **Founded**: 2024 - **Founders**: Matt Henderson and James Summerfield ## Core Business - **Primary industry**: AI-powered software reliability and observability - **Target customers**: B2B; engineering teams at mid-market and enterprise companies managing complex software systems - **Mission or purpose**: To build an "immune system for software" — a system context layer that helps humans and AI agents anticipate, diagnose, and prevent problems before they cause customer-impacting failures. ## Products & Services - **[Phoebe Agentic Search Platform]**: An AI agent that engineers can query using natural language to investigate live system data (logs, traces, metrics, commits, alerts). It uses "swarms" of AI agents to search across siloed data, evaluate potential causes, and generate code or infrastructure changes to resolve issues. The platform proactively initiates searches after alerts and generates post-incident retrospectives to build a knowledge base. (Type: SaaS/AI Agent Platform) ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total Funding — $17 million (Seed round, announced August 2025) - **Notable Investors/Partners**: GV (Google Ventures), Cherry Ventures (co-leads). Early access customers include Trainline and PPRO. - **Growth Signals**: Launched publicly in August 2025 with paying customers already live; claims time-to-resolution can be up to 90% faster; founded by experienced operators who previously sold Rangespan to Google; team includes ex-Google, Meta, Amazon, and Stripe engineers. ## Competitive Advantages - **Proprietary system context models** that combine LLMs with proprietary models to understand and connect data across diverse, siloed systems — enabling stronger performance than built-in AI features of incumbent observability tools (e.g., generating CloudWatch queries more successfully than Amazon’s own AI assistant). - **Preventative capability**: Can predict some incidents from leading indicators and generate preemptive fixes before disruption occurs, moving beyond reactive troubleshooting. - **Founding team pedigree**: CEO and CIO of Stripe Europe (Henderson and Summerfield) with a prior exit to Google, plus engineering talent from major tech companies. - **Multi-source reasoning**: Agents jointly analyze logs, metrics, traces, alerts, and business data to find root causes, not just symptoms. ## Strategic Focus - Rapidly expanding platform capabilities and customer base following the public launch and seed funding. - Building toward a full "immune system for software" where the majority of emergent problems are prevented before becoming customer-impacting failures. - Deepening integration with existing tech stacks and incident management workflows. ## Why Work Here - **Culture**: Remote-first company; founded by experienced tech leaders with a track record of building at scale. Focus is on deep technical challenges in AI, ML, and distributed systems. - **Remote/hybrid/office policy**: Fully remote workspace. - **Notable perks**: Opportunity to work on cutting-edge AI agent architectures, multi-modal analysis, and causal reasoning at production scale. Early-stage environment with direct impact on product direction and customer outcomes. - **Engineering culture**: Heavy emphasis on ML research, agentic design, and building evaluation infrastructure. Team includes ML researchers and software engineers from top-tier companies. ## Sources 1. [blog.phoebe.ai](https://blog.phoebe.ai/phoebe-raises-17m-to-build-the-first-immune-system-for-software/) 2. [blog.phoebe.ai](https://blog.phoebe.ai/troubleshoot-faster/) 3. [builtin.com](https://builtin.com/company/phoebe) 4. [tech.eu](https://tech.eu/2025/08/20/ai-software-failure-fixer-phoebe-raises-17m/) 5. 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