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Senior Product Manager

Menlo SecurityEMEA - UKR&D
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Salary
Not listed
Job type
Full-time
Posted
25 Sept 2026
Status
Open · checked 7d ago

About this role

Role Overview

Menlo Security is hiring a Senior Product Manager to join the R&D team in EMEA. This role takes end-to-end ownership of Menlo Agent Runtime Security (MARS) for Agents, a cutting-edge product line designed to secure autonomous and hybrid AI workforces. Operating with a high degree of autonomy, the successful candidate will shape a rapidly evolving security category while collaborating closely with engineering and go-to-market teams.

Key Responsibilities

Own inbound product direction by researching emerging agentic AI capabilities, attacker techniques, and adjacent standards like MCP and agent identity frameworks.
Translate market, customer, and competitive input into clear product requirement documents, user stories, and acceptance criteria.
Groom the product backlog and make daily prioritization calls within strategic guardrails, partnering directly with engineering through the full build cycle.
Validate requirements hands-on using AI coding assistants, Model Context Protocol clients, and agent runtimes to prototype proposed behaviors.
Enable technical support and solutions engineering by maintaining current capability documentation and delivering pre-release briefings.
Engage regularly with customers, sales, and marketing to gather requirements, support technical evaluations, and refine positioning.
Track competitors across network security, identity management, and emerging agent-security pure-plays to maintain an honest competitive point of view.

Requirements

Bring 10+ years of professional background, including 6 to 10+ years of product management or product owner experience in B2B SaaS, enterprise infrastructure, or security software.
Demonstrated ability to write clear, engineering-ready requirements and own a backlog end to end for complex technical products.
Comfortable operating with a high degree of autonomy and high velocity within an agile development environment.
Solid working knowledge of AI agent technology, including LLMs, tool calling, and the Model Context Protocol ecosystem.
Real cybersecurity background with familiarity in identity and access management, proxy architectures, and content inspection.
Hands-on personal use of AI tools such as Claude, ChatGPT, or GitHub Copilot.
Strong written communication skills with experience producing specifications, FAQs, and enablement materials.

Nice to Have

Working knowledge of the Microsoft 365 Copilot ecosystem, Copilot Studio agents, and Azure agent identity planes.
Prior product ownership of an identity system, a proxy product, or an API and integration platform.
Direct experience with MCP, LLM tool-calling architectures, or building integrations with frontier model providers.
Familiarity with OWASP frameworks for agentic AI security.
Experience supporting a technical sales motion with enablement and competitive battlecards.
Background at a company scaling a new product line or category from early traction.
Experience using AI-assisted research tooling for customer feedback synthesis or prototyping.
Bachelor degree in Computer Science, Engineering, or a related technical field.

Skills and Tools

Azure
LLM
Model Context Protocol (MCP)
AI coding assistants and agent runtimes
Agile software development methodologies

About the Company

Menlo Security is the leader in browser security for human and agentic workforces, enabling secure connection, communication, and collaboration without compromise. The patented isolation platform protects global organizations, including Fortune 500 companies and government agencies, from cyberattacks across the web, documents, and email. Backed by top-tier investors, the company extends protection to AI agents working alongside employees through Menlo Agent Runtime Security.

How to Apply

Interested candidates should visit the official Menlo Security careers page to submit an application for this opportunity.

Skills and tech stack

LLMLLMsAzure

Questions candidates ask

What is the primary focus of this Senior Product Manager role?

The role takes end-to-end ownership of a technically complex area within Menlo Agent Runtime Security (MARS) for Agents, defining security features for autonomous and hybrid AI workforces.

Where is the position located?

The role is based in the EMEA region, specifically associated with the United Kingdom location.

What level of experience is required?

Candidates must have 10+ years of overall background, including 6 to 10+ years of product management or product owner experience in B2B SaaS, enterprise infrastructure, or security software.

What technical knowledge is expected from applicants?

Applicants need a solid working knowledge of AI agent technology, LLMs, tool calling, the Model Context Protocol (MCP) ecosystem, and cybersecurity fundamentals like proxy architectures and identity management.

How does the product team utilize AI tools?

AI assistants and LLM-based tools are part of the daily toolkit, used to synthesize customer and competitive signal, pressure-test requirements, and prototype against MCP clients and agent runtimes.

Ready to apply?

The application is on the official Menlo Security careers page.

Apply on company site