Product Marketing Manager

Responsibilities

• Own defined components within the AI security solution area, working under the guidance of senior product marketing leadership.
• Support product positioning and messaging by translating technical capabilities into clear customer value, sales narratives, and market-facing language.
• Contribute to product launches by supporting launch planning, asset development, internal communications, and field readiness.
• Build sales enablement materials, including talk tracks, FAQs, objection-handling content, battlecards, and seller-ready guidance.
• Develop content including blogs, one-pagers, solution briefs, web copy, and sales collateral.
• Gather and maintain competitive intelligence, including competitor tracking, win/loss input, field feedback, and battlecard updates.
• Support analyst relations inputs, submissions, briefing preparation, and proof-point gathering under the guidance of senior PMM and analyst relations stakeholders.
• Support case study and customer proof point development, including coordinating customer input, sourcing quotes, and turning outcomes into usable go-to-market assets.

Requirements

• Proven product marketing experience within a B2B technology environment, ideally in cybersecurity, AI, SaaS, or enterprise software.
• Experience supporting product positioning, messaging, sales enablement, product launches, and broader go-to-market initiatives.
• Strong written communication skills, with the ability to develop compelling content for both internal and external audiences.
• Demonstrated ability to synthesise technical, market, and competitive information into clear, customer-focused and sales-ready materials.
• Experience creating content such as blogs, solution briefs, web copy, presentations, sales collateral, or enablement assets.
• Comfortable working cross-functionally with sales, product, analyst relations, and senior marketing stakeholders, influencing without direct authority.
• Self-starter who can take ownership of a defined scope, prioritise effectively, and deliver results independently.
• Coachable, with strong learning agility and a genuine interest in cybersecurity, AI, and enterprise technology markets.

Preferred

• Cybersecurity or AI industry exposure, particularly in email security, network security, cloud security, identity, data security, or broader enterprise security markets.
• Experience supporting analyst relations processes, competitive intelligence programmes, win/loss analysis, or case study production.
• Experience working with sales teams, solution engineers, or customer-facing stakeholders to translate technical differentiation into practical field guidance.
• Familiarity with enterprise technology buying cycles, B2B sales motions, and go-to-market strategy.

Benefits

• 23 days’ holiday + all public holidays, rising to 25 days after 2 years of service,
• Additional day off for your birthday,
• Private medical insurance which covers you, your cohabiting partner and children,
• Life insurance of 4 times your base salary,
• Salary sacrifice pension scheme
• Enhanced family leave
• Confidential Employee Assistance Program
• Cycle to work scheme.
• As a growing business strengthening its governance and controls, this role plays a part in supporting high standards of integrity and accountability.