What you’ll do
As Manager of SA Transformation, you will set the vision, priorities, and operating model for a high-impact organization responsible for turning strategy and innovation into durable, globally scalable capabilities. You will directly manage a team of Program Managers while serving as a second-line leader across our AI Engineering and Demo Engineering teams. In this role, you will coach the team through ambiguous, cross-functional initiatives—guiding projects from early experimentation through global launch, adoption, and ongoing ownership.
You will act as a key strategic partner to leadership across Solutions Architecture, GTM, Product, and Engineering, ensuring our transformation portfolio materially improves how SAs operate and drives measurable outcomes for our users.
Responsibilities
- Set the strategy, priorities, and operating model for the SA Transformation team, translating SA, GTM, and Product direction into a focused portfolio of capabilities, experiments, and programs
- Manage and develop the team, empowering them to lead day-to-day program execution while setting clear expectations, providing coaching, and building the organization’s long-term capabilities
- Create an inclusive, high-performing team environment grounded in accountability, strong judgment, and a shared commitment to user impact
- Identify recurring friction in SA workflows and design better tools, practices, and operating models that improve effectiveness and technical excellence across regions, segments, and motions
- Build strong interlocks with Product, Product Operations, Product Marketing, Field Marketing, Developer Relations, Enablement, and Operations so field insight informs strategy and promising ideas can earn global scale
- Establish shared priorities and operating mechanisms across Transformation Programs, AI Engineering, and Demo Engineering, partnering with technical leaders and SA innovators to build and scale tools, demos, and automated workflows that measurably improve SA productivity and user outcomes
- Use qualitative and quantitative evidence to identify organizational opportunities, expose tradeoffs, set portfolio priorities, and measure adoption and impact; establish clear ownership, governance, and support models so successful initiatives endure