Senior Product Manager, AI-Native Products

Sophos

. Own product strategy and roadmap for an agentic security product surface .

Posted 10/1/2026full-timeRemote • United StatesSenior💰 $162,000 - $270,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management with a focus on agentic security products, leveraging AI tooling and LLM product stack to drive product strategy, roadmap execution, and customer engagement. Proven ability to collaborate across teams and communicate effectively with executives while achieving product adoption and retention targets.

Highest-signal resume keywords

Product ManagementLLM Product StackAI ToolingCybersecurity ExperienceExecutive Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product StrategyRoadmap DevelopmentCustomer Discovery ResearchPrompt EngineeringModel Selection Trade-offsEngagement ExpansionExperimentation ProgramsProduct Evaluation FrameworkMulti-Agent OrchestrationData Loss Prevention

Soft Skills

Verbal CommunicationWritten CommunicationCollaborationProblem SolvingAdaptability

Tools & Technologies

AI ToolingMSP/MSSP ModelsLicensing FrameworksCommercial ModelsObservability Tools

Industry Keywords

CybersecuritySecurity OperationsIT OperationsAgentic SystemsAI Governance

Tech Stack

Tools & technologies

Cyber Security

About the role

Key responsibilities & impact

Own product strategy and roadmap for an agentic security product surface
Define priorities from product definition through launch
Conduct customer, design-partner, and MSP-partner discovery research
Convert customer feedback and usage data into roadmap decisions
Lead 0-to-1 product delivery with engineering, design, and go-to-market teams
Make trade-offs, control scope, and deliver products to customers
Set and achieve activation, usage, and retention targets
Run experimentation programs to improve adoption and engagement
Partner with the Securing AI PM and AI Safety Office to meet internal AI standards
Define and maintain the product evaluation framework
Provide requirements and evidence for packaging, licensing, and MSP/MSSP model decisions
Collaborate with pricing, finance, sales, and other business teams on commercial models
Use AI tooling to prototype concepts and identify product risks
Contribute to weekly updates, launch standups, QBR materials, and enablement content
Brief executives and internal field audiences

Requirements

What you’ll need

5+ years of product management or related industry experience
Demonstrated track record building for expert users
Direct, hands-on experience with the LLM product stack: RAG, prompt engineering, evals, model selection trade-offs, latency versus quality decisions, and hallucination mitigation
Strong understanding of AI feature adoption, onboarding, default behaviors, engagement expansion, and trust-related failure modes
Executive-grade written and verbal communication
Hands-on experience driving action in ambiguous spaces
Legal authorization to work in the United States without requiring employer sponsorship
Strong plus: cybersecurity, security operations, IT operations, or observability product experience
Strong plus: hands-on experience with agentic systems, including tool-calling, multi-agent orchestration, MCP, or similar
Strong plus: experience with AI governance, data loss prevention, or acceptable-use policy enforcement
Strong plus: MSP or MSSP channel product experience, including multi-tenant and partner-delivered motions

Benefits

Comp & perks

Bonus eligibility
Comprehensive benefits package
Remote-first working model
Employee-led diversity and inclusion networks
Annual charity and fundraising initiatives
Volunteer days
Global employee sustainability initiatives
Global fitness and trivia competitions
Global wellbeing days
Monthly wellbeing webinars and training
Equal opportunity and recruitment accommodations