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The Technical Enablement Business Partner will create and manage enablement programs for the Professional Services team, focusing on technical skills and consulting capabilities to enhance productivity and revenue. Responsibilities include program management, content production, cross-functional collaboration, and performance analysis to address skill gaps and drive continuous improvement.

The role involves analyzing complex pricing strategies, conducting data-driven analyses, collaborating with cross-functional teams, and translating insights into strategic business recommendations.

The Account Executive will manage relationships with upper middle market and enterprise companies, driving growth through sales cycles, strategizing with teams, and engaging with executives.

The Brand Partnerships & Strategy Lead will manage Stripe's global partnerships, overseeing strategy, campaign execution, and brand storytelling while ensuring impactful collaboration across teams and stakeholders.

As an Account Executive, you'll manage relationships with upper middle market and enterprise clients to drive sales and develop strategic partnerships using Stripe's platform.

Own and resolve complex technical customer issues using SQL and API knowledge, coordinating with Engineering and Product. Drive process improvements, scale support operations, lead cross-functional projects, and create self-service documentation to improve CSAT, contact rate, and SLA compliance.

The KYC Operations Associate will perform KYC reviews, ensure compliance with regulations, handle complex customer information, and collaborate with teams to mitigate risks.

Lead product discussions, consult on embedded finance, define best practices, and provide insights to influence the Money Management product roadmap.

Design, build, and maintain Android apps and SDKs in Kotlin for Stripe's Terminal devices, collaborating with engineers and stakeholders for new features.

Lead end-to-end design and delivery of Stripe Assistant's ML and agent architecture. Improve answer quality, safety, and execution for high-trust actions using LLMs, RAG, fine-tuning, and agent orchestration. Set SLOs, build evaluation and benchmarking pipelines, optimize latency/cost/reliability, and mentor engineers while collaborating cross-functionally to ship secure, observable, and scalable AI-driven features.