• Own the roadmap for platform scalability • Drive the strategy and execution of enterprise-grade features • Own the development and planning process for Bugcrowd’s APIs • Partner with Engineering and Security leaders to design products that meet compliance • Communicate a compelling vision to inspire teams

• Define and execute Anomali’s global Security and IT Operations Platform strategy • Facilitate the expansion of the product suite and define scalable workflow-driven products • Evaluate emerging technologies to continuously enhance product capabilities • Drive operational excellence and cross-functional strategies • Monitor adoption, performance, and ROI of managed workflows • Oversee competitive landscape analysis and business case development

• Define the vision and strategy for AI-powered user experiences across Splunk Platform • Partner with AI/ML teams to translate model capabilities into meaningful customer workflows • Collaborate with Design to define new interaction patterns (NL, agentic actions, conversational UX, multimodal interfaces) • Engage with internal and external customers regularly to gather feedback and validate value proposition • Diagnose and resolve systemic obstacles that prevent your team from delivering high-quality software • Collaborate with product marketing and technical writers to support creation of customer driven messaging and content • Formulate and execute GTM strategy to drive adoption and help app developers unlock value with Splunk

We're seeking a technical Product Manager of Enterprise Data to execute TradeStation's data strategy and ensure our enterprise data foundation powers decision-making across the organization. This role will partner with data engineering, data scientists, and data analysts to deliver high-quality, governed, and accessible data products that enable analytics, AI, and business operations. Own the data product lifecycle — define roadmaps, write requirements, and deliver data products, pipelines, and platforms that meet business and technical needs Write production-grade SQL queries and Python scripts to validate data quality and build data solutions Partner with data engineering to design and optimize data models, pipelines, and workflows in Databricks Establish and manage data governance frameworks — including data classification, quality standards, lineage tracking, and access controls Define and manage data quality KPIs — track completeness, accuracy, timeliness, and consistency; drive continuous improvement initiatives Ensure compliance with regulatory requirements and internal policies for data handling and security Drive self-service analytics adoption — build documentation, training, and support structures that enable stakeholders to access and use data effectively Collaborate with Product, Analytics, and business teams to understand data needs and translate them into scalable platform capabilities Evangelize data best practices and platform capabilities across the enterprise Contribute to data strategy and roadmap planning aligned with business priorities Report measurable outcomes — communicate progress on data initiatives tied to adoption, quality improvements, and business impact Stay current on data platform trends, tools, and best practices to keep TradeStation's data capabilities competitive