Program Manager, Security Business Enablement
StripeWho we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team
The Stripe Security team is dedicated to improving the security of Stripe and its users. Our users trust us with some of their most sensitive information, and we make security a first-class consideration in everything we do. Security concerns are ever-evolving, creating an extremely dynamic environment for the Security team.
The goal of the Security Business Enablement team at Stripe is to build trust with our current and prospective customers and partners. We support Sales, Marketing, Legal, and Privacy by directly engaging with our customers and partners to communicate and represent the security activities performed by hundreds of employees and thousands of processes across our suite of products and services to operate the tools and platforms necessary to scale our resources across millions of users.
What you'll do
This role is part of the Office of the CISO pillar at Stripe. You'll represent all of Stripe directly to our customers and partners, facilitate conversations with Legal and Security teams, and identify opportunities to enhance our coverage and scalability with tooling and automation.
Responsibilities
• Function as an information security subject matter expert and lead cross-functional teams to engage with customers and partners to build trust and grow our business
• Serve as the main point of contact for all go-to-market-related requests
• Operate autonomously, leading large-scale efforts to implement and operate tooling and automation across multiple teams and functions, with stakeholders in different disciplines and time zones
• Identify and evaluate information security control gaps and oversee remediation efforts, in partnership with control owners
• Develop information security policies and standards based on cybersecurity framework guidelines
• Develop, define, and report on the team's program health and success metrics to provide insights to management to help drive strategic direction
Who you are
We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
• You are a subject matter expert in information security frameworks, practices, policies, standards, and procedures (e.g., NIST CSF, PCI DSS, ISO 27001,
Opens the company's application page
Listed via
Findwork
findwork.dev
Similar roles
Data Analyst
Harnham - Data & Analytics Recruitment
Senior Data Analyst
Harnham - Data & Analytics Recruitment
Service Charge Data Analyst
Robertson Bell
Data Analyst
R3vamp Limited
Design & Tech
Related reads from TCHNX
Why AI Design Tools Are Quietly Replacing Junior Designers and What Actually Comes Next
AI tools promise efficiency, but London studios are discovering an unexpected paradox: automation creates new bottlenecks requiring precisely the expertise being eliminated. We investigate what's actually happening to entry-level design work.
The Inference Economy: Why AI’s Biggest Cost Shift Is Happening After Training
A major shift in AI economics is reshaping the industry. As training frontier models becomes more expensive and inference becomes dramatically cheaper, companies are being forced to rethink how they build, deploy, price, and monetise intelligent systems.
The Emergence of Small Language Models: Why Efficiency Is Overtaking Scale
As the AI industry confronts computational costs and environmental concerns, a new generation of compact models is proving that bigger isn't always better. Small language models are reshaping enterprise AI deployment.