…Job Summary We are looking for an innovative Staff Product Manager, AI & Data to define the vision, strategy, and roadmap for Bugcrowd’s data…

…Managers, Engineering, Design, and leadership across the organization to align priorities across multiple pods and ensure teams are building toward a cohesive data strategy…

…Coach teams and customers on safe, enterprise‑grade Copilot usage, prompt strategies, and adoption patterns. Apply Responsible AI principles, embedding security, privacy, governance, and…

…engineering, AI research and programme management, driving products from early prototype to production with clarity of purpose and pace Shape commercial strategy for your…

…Leverage tools, AI, intent data, and industry insights to create advanced outbound plays, win-back motions, event-triggered outreach, and persona-based engagement strategies…

…Leverage data and analytics to drive business reviews, inform agency strategies, and surface actionable insights that support revenue growth and product adoption Relationship management…

…managing resources for data center locations. Preferred qualifications: 10 years of experience coordinating or leading security, and experience planning security operations or strategy for…

…outcomes and appropriately involve human operators Develop the orchestration, tool-calling, memory, context-management, evaluation, observability and governance foundations required to deploy AI agents…

…Help shape and drive your customer's AI strategy — partnering with their data science, ML, and AI platform teams to design GenAI and ML…

…and beyond Own equipment lifecycle management from installation and process qualification through high-volume production, including preventive maintenance strategies, spare parts optimization, and continuous…

…Our mission sits at the intersection of advanced AI, robotics, and real-world manufacturing, and we are building the operational backbone to scale production…

…Demonstrated ability to leverage automation and AI to improve operational efficiency, enhance self-service, and reduce manual effort. Experience with Jira Service Management or…

…Maintain SOX and ITGC controls across the integration and automation layer, including change management, sandbox strategy, regression testing, release governance, test evidence, audit support…

…You will own the end-to-end technical strategy and delivery of production-grade AI services. Our team includes data and business intelligence engineers…

…Leveraging deep technical expertise, data-driven insights, and advanced analytics, this role independently reviews Airworthiness Directives (ADs), Service Bulletins (SBs), and engineering dispositions at…

…small and large group presentations - Technical – Development/deployment experience, cloud computing, containerization, networking, generative AI, etc. - Operational – Web site/services operations, management, and security…

…powers Outbound Campaigns, from creation, curation, and template management to AI-assisted content generation, approval workflows, and governance at scale. - Define how businesses optimize…

…OSs, configuring, managing or troubleshooting systems at scale - Experience with PowerShell scripting, database administration and client server applications - Current, active US Government Security Clearance…

…OSs, configuring, managing or troubleshooting systems at scale - Experience with PowerShell scripting, database administration and client server applications - Current, active US Government Security Clearance…

…As a Solutions Analyst III in Commercial & Investment Bank, you will aid in bridging the gap between product owners, business, operations, and software developers…

…adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted…

…Exposure to agentic AI or AI-driven operations concepts, including workflow orchestration, decision support, and safe automation patterns. Familiarity with operational governance frameworks and…

…Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational…

…Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to…

…and close partnership with engineering, data science, and design teams. Champions responsible AI practices, including governance, risk management, and transparency, as capabilities mature and…