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Menlo Security

Cloud-based browser security platform prevents phishing.

Senior Product Manager

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeBracknell, UKNo salary listedIn-person

About the Job

Requirements

  • 6–10+ years of product management or product owner experience, ideally in B2B SaaS, enterprise infrastructure, or security software, including a track record of owning a complex, technical product area end to end.
  • Demonstrated ability to write clear, engineering-ready requirements, including product requirement documents, user stories, and acceptance criteria, and to own a backlog end to end for a technically complex product surface.
  • Ability to operate autonomously, taking strategic goals through research, requirements, engineering partnership, and launch across multiple related surfaces.
  • Ability to operate at high velocity while helping establish the process and rigor needed to scale the product.
  • Solid working knowledge of AI agent technology, including how large language models and AI agents operate, autonomous versus human-in-the-loop agents, tool and function calling, and the Model Context Protocol ecosystem (servers, clients, and tool calls) at a depth sufficient to write requirements for a Model Context Protocol Server and Proxy.
  • Cybersecurity background with working familiarity in identity and access management, proxy and gateway architectures (forward proxy, reverse proxy, secure web gateway, Security Service Edge, and Secure Access Service Edge), and content or traffic inspection.
  • Regular hands-on personal use of AI tools such as Claude, ChatGPT, Claude Code or Cowork, GitHub Copilot, or similar, including some exposure to their Model Context Protocol or other tool-calling integrations.
  • Strong written communication for producing specifications, FAQs, and internal enablement material.

Responsibilities

  • Own inbound product direction for the assigned area by researching emerging agentic AI capabilities, attacker techniques, and adjacent standards to determine what MARS for Agents should build across the agent registry, Claude integration, Microsoft Copilot integration, Model Context Protocol Server, Model Context Protocol Proxy, and large language model proxy.
  • Translate market, customer, and competitive input into clear product requirement documents, user stories, and acceptance criteria; use large-language-model-based tools to synthesize call notes, support tickets, standards documents, and usage data into prioritization insight while retaining accountability for decisions and accuracy.
  • Own and groom the backlog, make day-to-day prioritization decisions within strategic guardrails, and partner with engineering through refinement, in-sprint questions, review, and release.
  • Use AI coding assistants, Model Context Protocol clients, and agent runtimes to prototype and stress-test proposed behavior before specifying it; define success metrics and track them after release.
  • Brief technical support and solutions engineering on new and existing capabilities, maintain current capability documentation that distinguishes documented and shipping facts from planned work and open questions, and serve as the authority on the area’s current and planned capabilities.
  • Join customer and prospect conversations to gather requirements, pressure-test positioning, and support technical evaluations; support sales with technical questions and answers, competitive objection handling, and proposal and presentation input; work with product marketing on messaging, positioning, and launch content.
  • Continuously track competitors relevant to MARS for Agents, maintain a point of view on competitive strengths, gaps, and commoditizing capabilities, and feed findings into requirements, positioning, and roadmap prioritization.

Desired Qualifications

  • Working knowledge of the Microsoft 365 Copilot ecosystem, including Microsoft 365 Copilot, Copilot Studio agents, and Microsoft's Entra/Azure agent identity plane, sufficient to scope and write requirements for a two-way integration in which MARS augments Microsoft's agent governance.
  • Prior product ownership of an identity or registry system, a proxy or gateway product, or an API/integration platform.
  • Direct experience with Model Context Protocol, large language model or agent tool-calling architectures, or integrations with Claude or other frontier model providers.
  • Familiarity with OWASP frameworks, including emerging OWASP guidance for agentic AI security.
  • Experience directly supporting a technical sales motion, including sales-engineering enablement, competitive battlecards, or customer discovery calls.
  • Experience at a company scaling a new product line or product category from early traction.
  • Experience using AI-assisted research or analysis tools in a regular product workflow, such as synthesizing customer feedback at volume or building lightweight prototypes to validate requirements.
  • Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

About the Company

Menlo Security

Cloud-based browser security platform prevents phishing.

Menlo Security offers a cloud-based browser security platform that protects employees and businesses from online threats without triggering constant security alerts. The platform safeguards users wherever they go online, across any browser and device, by preventing phishing and malware from impacting the user’s session. Key products include HEAT Shield, an AI-powered phishing and ransomware protection solution that analyzes deep web sessions to stop new and unseen attacks before they reach a network, and HEATcheck, a vulnerability assessment that shows how evasive attacks could bypass typical defenses. Menlo Labs provides security researchers and tools to help customers secure online communications and stay informed about known and unknown threats. The company’s goal is to enable safe internet use for hybrid enterprises by making threats irrelevant to users and reducing the need for manual alert handling, while offering insights to improve overall security posture.

Company size
501-1,000
Company stage
Series E
Total funding
$260.5M
Headquarters
Mountain View, CA
Founded
2013

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