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Project Manager

• Coordinate cross-functional initiatives across industry teams and key stakeholders to drive alignment, communication, and accountability across workstreams
• Facilitate collaboration between marketing, sales, partner, and central organizations to support strategic program execution and stakeholder engagement
• Support the intake, validation, prioritization, and lifecycle tracking of AI use cases while contributing to scalable operational frameworks and processes
• Develop and operationalize intake frameworks, validation criteria, BOM structures, launch readiness processes, and partner enablement activities for AI deployments
• Lead and support the design of operational processes, governance models, workflows, templates, and documentation to improve scalability, adoption, and repeatability
• Identify process gaps and infrastructure improvement opportunities while recommending operational best practices and scalable process enhancements
• Manage day-to-day project activities, including facilitating meetings, tracking milestones and dependencies, and documenting risks, decisions, and action items
• Provide strategic recommendations and support future-state operational models, including AI-enabled and agentic workflow opportunities, to drive scalable program growth

QA Engineer

• Investigates, isolates the root cause, proposes solutions or workarounds, and communicates clearly with the team.
• Works across multiple projects, often in complex environments with multiple integrations such as APIs and third-party systems.

Project Manager

Mid-Level QA Analyst