WatchGuard Technologies, Inc. - jobs

• MSP market knowledge: Deep familiarity with how managed service providers operate, including how they structure their teams, price and deliver services, manage margin pressures, and where technician time goes. You understand that for MSPs, simplicity and automation are not features; they are the business case. You know the difference between a tool an MSP will actually adopt and one that adds process to an already stretched team. • MSP market knowledge: • Agentic AI product experience: Demonstrated depth in product management, with meaningful hands-on experience shipping agentic AI or LLM-powered automation in a B2B context — typically 8+ years overall and at least 2 years working directly on autonomous or semi-autonomous AI workflows where the system takes action on behalf of the user. Candidates who have shipped real agentic products recently will be weighted over those with tenure alone. • LLM technical fluency: Hands-on familiarity with how LLMs work in production: context limits, latency tradeoffs, hallucination risks, and when RAG, fine-tuning, or deterministic fallbacks are the right answer. • LLM technical fluency: • AI evaluation and governance: Experience defining evaluation criteria and quality standards for AI actions, including how to validate that an automated workflow is safe to run unsupervised. • AI evaluation and governance: • AI-native product approach: AI tools are part of your core workflow. You use them for customer research synthesis, Spec Driven Design, and prototype validation, getting to a well-structured spec faster and with more rigor than traditional methods allow. You think in terms of what AI can own end-to-end, not just where it can assist. • AI-native product approach: • Product instincts: Strong instincts for what makes an agentic feature genuinely useful versus impressive in a demo, especially in an MSP context where trust, reliability, and low-friction adoption determine whether a product survives the first 90 days. • Product instincts: • Cross-functional collaboration: Comfort working across engineering, design, and go-to-market in a fast-moving environment. • Cross-functional collaboration: • Communication skills: Clear, direct communicator who can move between technical depth and business narrative depending on the audience. • PSA and RMM familiarity: Experience with MSP operational tooling including ConnectWise, Autotask, NinjaOne, or HaloPSA. • PSA and RMM familiarity: • Security or platform background: Background in cybersecurity products, managed services, or multi-tenant SaaS platforms. • Security or platform background: • Prototyping experience: Experience building or evaluating functional prototypes as a discovery and alignment tool. • Responsible AI: Understanding of responsible AI in production environments, including explainability, auditability, rollback behavior, and least-privilege action design. • Responsible AI: