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Senior Product Manager – Security Data Integrations and Management Jobs

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Senior Data Engineer - Python & Pyspark
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India , Chennai
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Citi
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Principal Corporate Security Engineer
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184500.00 - 289050.00 USD / Year
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Atlassian
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Storage Developer
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India , Pune
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IBM Deutschland GmbH
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Technical Lead
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United Kingdom , London
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iProov
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Acquisition management and planning analyst
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United States , El Segundo
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120000.00 - 150000.00 USD / Year
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Tecolote Research
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Senior Software Engineer
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United States , Flower Mound
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Software Professionals
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Senior Solutions Architect & Customer Advisor – Hybrid Cloud, Data and AI
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United States
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161000.00 - 268300.00 USD / Year
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Rackspace
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Director of Engineering
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United States , San Francisco
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Kiddom
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Data Platform Architect
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United States , San Francisco
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253500.00 - 380500.00 USD / Year
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GoFundMe
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Senior Software Engineer, AI
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India , Pune
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FloQast
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Senior Developer and Administrator
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United States , Columbus, Ohio / Mason, Ohio
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90000.00 - 120000.00 USD / Year
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DigiTech Partners
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Senior IT Engineer
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Germany , Berlin
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Cresta
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Senior Java Developer
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Canada , Mississauga
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Citi
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Infrastructure Operations Manager
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United States , Irving; New Castle
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156160.00 - 234240.00 USD / Year
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Citi
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Big Data/Java Application Developer
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Canada , Mississauga
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Citi
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Cloud Platform Architect Manager
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United States of America , Charlotte
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Circle K
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Country Risk Senior Analyst
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Singapore , Singapore
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Citi
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Apps Dev Tech Lead
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Canada , Mississauga
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Citi
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Senior Detection Engineer
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Singapore , Singapore
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Marriott Bonvoy
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Senior Software Engineer
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Israel , Tel Aviv
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Hewlett Packard Enterprise
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Senior Product Manager – Security Data Integrations and Management jobs represent a critical and specialized nexus within the cybersecurity and data infrastructure landscape. Professionals in this high-impact role are responsible for the end-to-end strategy and execution of platforms that collect, normalize, enrich, and route vast streams of security telemetry. Their core mission is to empower security teams by ensuring critical data from diverse sources is accessible, reliable, and actionable within the tools they rely on, such as SIEMs, data lakes, and analytics platforms. Typically, individuals in this profession own the product vision for security data pipeline and integration management solutions. Common responsibilities include conducting extensive market and customer research to understand pain points in security operations, log management, and compliance reporting. They define product roadmaps, prioritize features, and author detailed requirements. A key focus is on collaborating with engineering teams to build robust capabilities for data ingestion, parsing, transformation (e.g., enrichment, filtering), and seamless export to downstream systems. This involves deep work on data schemas and standards to ensure interoperability, often requiring knowledge of common information models like CIM, ECS, or OCSF. Furthermore, they establish and track key performance indicators to measure the health, efficiency, and adoption of data integrations, using metrics to drive data-informed product decisions. The typical skill set for these jobs is a blend of technical depth, security acumen, and strategic product leadership. Successful candidates usually possess 5+ years of product management experience, ideally within cybersecurity, observability, or data pipeline domains. A strong understanding of the security data ecosystem is essential, including familiarity with SIEM platforms, log analytics, network detection and response (NDR) tools, and core security technologies like intrusion detection systems. Practical knowledge of data manipulation tools and log routing paradigms is highly valuable. Beyond technical skills, exceptional cross-functional collaboration is paramount, as these product managers constantly partner with security architects, DevOps engineers, and customers to align product capabilities with real-world security workflows, detection engineering needs, and compliance frameworks. Ultimately, professionals pursuing Senior Product Manager – Security Data Integrations and Management jobs are building the foundational plumbing of modern security operations. They translate complex technical data challenges into intuitive, scalable products that break down data silos, reduce analyst fatigue, and accelerate threat detection and response, making them pivotal players in any organization's security posture.

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