Lead Digital Product Manager – AI, Data, Security Tooling Ecosystem

🕒 May 14

🇺🇸 United States – Remote

💵 $134k - $209.8k / year

⏰ Full Time

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

🦅 H1B Visa Sponsor

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Logo of Allstate

Allstate

10,000+ employees

Founded 1931

💸 Finance

💰 Post-IPO Equity on 2014-01

Insurance • Finance

Allstate is an industry leader in providing insurance solutions, focusing on home, auto, device, and identity protection. With a commitment to customer well-being, Allstate aims to instill peace of mind and financial security for its customers. The company also emphasizes community impact and sustainability through various initiatives, showcasing their dedication to social responsibility and positive change.

📋 Description

• Define and maintain the north-star vision for an AI-first cyber operations ecosystem. • Own the product vision and outcomes for a mature Security Operations Data Plane. • Establish tooling readiness posture, defining when and how security-relevant tooling is operated or absorbed to uphold ecosystem standards. • Own portfolio strategy, roadmap, and outcome-based prioritization (OKRs/KPIs). • Drive adoption of ecosystem capabilities across Cyber Operations job roles. • Resolve tensions between local optimization and ecosystem integrity. • Partner with engineering, platform, and governance stakeholders to ensure defensible, scalable delivery.

🎯 Requirements

• 8+ years of experience in digital product management, platform product leadership, or enterprise product delivery. • Demonstrated success leading outcome-driven portfolios in complex enterprise environments. • Strong stakeholder leadership, operating-model rigor, and strategic communication skills. • Experience with security data, observability, analytics, and telemetry ecosystems. • Familiarity with KQL-style analytics and security log data concepts. • Experience with telemetry pipeline patterns such as routing, transformation, and normalization. • Experience enabling AI adoption at scale through platforms rather than point features. • Familiarity with agentic AI governance concepts such as guardrails, auditability, and safe actions. • Experience defining golden paths or internal platform adoption models.

🏖️ Benefits

• Health insurance • Retirement plans

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