About The Position

Stripe is a financial infrastructure platform used by companies of all sizes to accept payments, grow revenue, and pursue new business opportunities. Its mission is to increase the GDP of the internet. The Solutions Architecture Transformation team makes focused global investments that turn SA strategy and innovation into scalable capabilities. It partners with global SA leadership, GTM, Product, and Engineering to improve how SAs work and scale promising innovation. The team combines transformation program leadership with matrixed partnerships across AI Engineering and Demo Engineering. As Manager of SA Transformation, you will set the vision, priorities, and operating model for a team that turns strategy and innovation into durable, globally scalable capabilities. You will lead program managers and serve as a second-line leader to the AI Engineers and Demo Engineers leader. You will coach the team through ambiguous, cross-functional work and guide high-leverage initiatives from early signal and experimentation through launch, adoption, and long-term ownership. You will partner with SA leadership and leaders across GTM, Product, and Engineering to ensure the transformation portfolio improves how SAs work and the outcomes they deliver for users.

Requirements

  • 10+ years of experience in go-to-market program management, business operations, management consulting, or a related discipline.
  • 3+ years of experience directly managing and developing high-performing teams in program management, strategy, operations, product, engineering, or a comparable discipline.
  • Experience managing through another people leader and maintaining accountability without taking over day-to-day execution.
  • Track record of building high-performing teams through clear expectations, coaching, thoughtful work allocation, and performance management.
  • Experience setting a team or portfolio strategy and translating broad organizational priorities into focused, measurable programs.
  • End-to-end global delivery expertise in fast-paced, ambiguous environments, with an ability to solve complex commercial, operational, and workflow challenges.
  • Excellent communication and stakeholder management skills, including analyzing data, influencing across levels from individual contributors to C-suite, and aligning cross-functional teams around common objectives.
  • Experience identifying, evaluating, and scaling AI or automation opportunities that produce measurable workflow or productivity improvements beyond basic prompt engineering.

Nice To Haves

  • Leadership experience in Solutions Architecture, Solutions Engineering, or a technical GTM transformation function.
  • Domain expertise in fintech, financial services, payments, or regulated technology environments.
  • Track record of scaling global GTM functions across AMER, EMEA, and APAC during periods of rapid growth.
  • Experience taking ideas from field signal through experimentation, launch, adoption, and a durable long-term operating model.

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 members to lead day-to-day program execution while setting clear expectations, coaching, and building long-term organizational capabilities.
  • Create an inclusive, high-performing team environment grounded in accountability, sound judgment, and commitment to user impact.
  • Identify recurring friction in SA workflows and design 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 scale globally.
  • 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 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.
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