Salesforce Business Systems Analyst, Quote-to-Cash (Remote)
CrowdStrike
- Location
- USA - Remote
- Work model
- Remote
- Level
- Mid
- H-1B history
- 35 approvals (FY2023)
- Posted
- Aug 25, 2026
Skills
About this role
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.
About the Role
CrowdStrike is looking for a Salesforce Business Systems Analyst to join our Go-to-Market Applications team, where the systems we build directly power how CrowdStrike sells, partners, and grows. Our team designs, builds, and ships the capabilities that let Sales and Channel pitch new products, enter new markets, deepen partner relationships, and adopt new selling motions — from self-service eCommerce to complex, multi-year enterprise deals. In this role, you'll be the liaison between our business partners and our engineering teams. You'll develop a deep understanding of our quote, order, and revenue processes, then translate that understanding into scalable solutions across Salesforce CPQ, Revenue Cloud, and the broader Lead-to-Cash ecosystem. You'll act as a strategic consultant, constructively challenging requests, proposing better alternatives, and using AI to move from idea to production faster than traditional delivery models allow. This role is part of a globally distributed team. You'll partner daily with engineers, QA, and analysts across US and offshore locations, and with stakeholders in multiple regions — so comfort operating asynchronously, documenting clearly, and flexing occasionally for early or late calls is essential to how we work. Your mission is simple: make it easier to do business at CrowdStrike. Requested in lieu of a cover letter: Tell us about one project where your analysis changed the outcome. Start with a short intro paragraph describing the business problem and why it was hard, then give us no more than 10 bullet points of specific actions you took that led to the result. If AI played a role in how you got there, we want to hear about it.
What You'll Do
Partner with stakeholders across Sales, Channel, Professional Services, Finance, and Revenue Operations to lead requirements-gathering sessions, prioritize competing requests, and set pragmatic expectations. Own functional deliverables end to end: process definition, requirements, fit/gap analysis, functional design, test planning and execution, training, and post-launch support. Drive the pre-research phase independently — analyze data, validate assumptions, and identify trends without relying on developers to do your discovery for you. Assess systemic impact of every change across the Quote-to-Cash ecosystem, including downstream effects on provisioning, entitlements, billing, and reporting. Leverage AI tools to accelerate the delivery lifecycle — drafting requirements and user stories, generating functional designs and test cases, building proof of concepts and accelerators, and analyzing data to inform recommendations. Apply AI-powered