Sr. Software Engineer, MarTech

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 Sr. Software Engineer - MarTech to join our fast-growing Marketing IT team. You will apply AI to transform how Marketing and Sales work, building LLM-based agents and machine learning solutions across Digital, Revenue, Partner, and Event Marketing. Your focus will be turning high-impact initiatives, such as event invitations, prospecting, lead and contact data quality, site search, and partner experiences, into reliable, measurable, production-grade solutions. This role also entails platform engineering work. You will also train and enable Marketing and IT team members to adopt AI effectively and responsibly. What You'll Do AI & Applied ML Use Case Discovery: Partner with Marketing teams to identify, prioritize, and scope AI opportunities, with success metrics tied to business outcomes. Agent Development: Build and deploy LLM-based agents for event invitations, account and contact prospecting, and partner workflows, with orchestration and human-in-the-loop controls. Lead & Contact Quality: Build ML and LLM-assisted pipelines to clean, deduplicate, enrich, validate, and score leads and contacts across Salesforce, Marketo, and related systems, including...

Summary and match are AI-generated; verify details on the original posting.

Listed via Himalayas. All sources