Company
Product Management
Director,AIProductManagement
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“Director, AI Product Management. Skills: AI Product Management, Agentic AI, LLM. Drive ideation, design, development of AI agents. Define and prioritize agentic workflows”
What You'll Achieve.
Ensure agents are monetizable; Commercial success of agents; Create monetizable agentic capabilities; Balance near-term partner value; Balance longer-term platform convergence; Move MSPs from visibility to decision to action; Replace or extend MSP workforce jobs; Automated action ready for production; Validate product direction; Translate product capability into GTM strategy; Achieve automation rate; Achieve ticket deflection; Achieve time-to-action; Achieve accuracy; Achieve downstream business outcomes
Industry & Context.
What They're Looking For.
Must Have
MSP market knowledge, Agentic AI product experience, LLM technical fluency, AI evaluation and governance, AI-native product approach, Product instincts, Cross-functional collaboration, Communication skills
Nice to Have
PSA and RMM familiarity, Security or platform background, Prototyping experience, Responsible AI
What You'll Do.
development of AI agents
Define and prioritize agentic workflows
Establish AI evaluation frameworks
Work with MSP partners for discovery
Drive alignment across teams
Own AI safety and reliability
Partner on GTM strategy
Define and track success metrics
Monitor competitive landscape
How You'll Work.
Team & Collaboration
Drive alignment across engineering, channel, PMM, and leadership; Partner with PMM, channel, and sales; Comfort working across engineering, design, and go-to-market
Communication Scope
Clear, direct communicator; Move between technical depth and business narrative
Full Job Description
## Position Responsibilities Business ownership: Ensure the agents are monetizable and a commercial success. You will drive the ideation, design, and development of AI-powered agents and solutions, with a focus on creating monetizable agentic capabilities aligned to MSP market needs. Roadmap ownership: Own the Rai product roadmap from discovery through delivery, balancing near-term partner value with the longer-term platform convergence vision. Agentic workflow definition: Define and prioritize agentic workflows that move MSPs from visibility to decision to action, replacing or extending MSP workforce jobs rather than just adding a chat interface. AI evaluation and quality: Establish evaluation frameworks for AI features, including how WatchGuard defines quality bars, measures accuracy and reliability, and decides when an automated action is ready for production. Customer discovery: Work directly with MSP partners to understand workflows and pain points, and validate product direction through direct customer engagement. Cross-functional alignment: Drive alignment across engineering, channel, PMM, and leadership using working prototypes and real partner feedback. Clearly conveying the outcomes to each stakeholder. AI safety and reliability: Own AI safety and reliability as a product responsibility, including how Rai behaves when confidence is low, when actions are irreversible, and when the MSP’s trust is on the line. Go-to-market partnership: Partner with PMM, channel, and sales to translate product capability into GTM strategy, partner messaging, and enablement. Performance monitoring: Define and track success metrics for Rai features: automation rate, ticket deflection, time-to-action, accuracy, and downstream business outcomes for MSPs. Competitive intelligence: Monitor the AI and MSP platform competitive landscape to identify differentiation opportunities. ## Required Qualifications MSP market knowledge: Deep familiarity with how managed service providers operat
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