Incubate and scale flagship agentic solutions that demonstrate platform value and transform how engineers discover, diagnose, and resolve issues. Bachelor's Degree AND 8+ years experience in product/service/program management or software development. These requirements include but are not limited to the following specialized security screenings: Bachelor's Degree AND 12+ years experience in product/service/program management or software development. OR equivalent experience. 4+ years experience taking a product, feature, or experience to market (e.g., design, addressing product market fit, and launch, internal tool/framework). 6+ years experience improving product metrics for a product, feature, or experience in a market (e.g., growing customer base, expanding customer usage, avoiding customer churn). 6+ years experience disrupting a market for a product, feature, or experience (e.g., competitive disruption, taking the place of an established competing product). Distills the vision and strategy into a product roadmap, emphasizing AI as a core differentiator to address customer needs and market opportunities. Identifies OKRs for multiple feature areas (e.g., product, service) across divisional boundaries and ensures alignment of the product with organization-level OKRs. Serves as an expert in identifying AI-informed, long-term or overall solution-level investment opportunities, evaluating tradeoffs, and prioritizing investments in consultation with cross organizational partners for multiple feature areas (e.g., product, service) across divisional boundaries. Influences and drives engagement with cross-functional internal partnerships, external partners, including early adopting customers, senior leadership, and other key stakeholders to gather input and garner support for product/service vision, strategy, and roadmap for multiple feature areas across divisional boundaries. Translates complex technical AI concepts into business value, engaging with executives and customers to build consensus and support for AI-first product strategies. Creates and drives strategy for taking the multiple feature areas across divisional boundaries from private preview to public preview and then to general availability. Leverages customer listening systems, telemetry, engagements (e.g., interviews, surveys), etc., to develop insights on product performance and customer needs.
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