Sr. Software Engineer, MarTech (Remote)

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 bot and fraud detection.

Search & Retrieval: Modernize site search and partner locator using semantic and hybrid retrieval, embeddings, and RAG grounded in approved content.

Analytics: Use AI-assisted analysis to improve partner lead ROI reporting and Adobe Analytics adoption.

Evaluation & Guardrails: Define evaluation metrics and regression tests, monitor accuracy, latency, and cost, and implement PII handling, consent enforcement, and audit logging in partnership with Security, Privacy, and Legal.

Build vs. Buy: Evaluate AI tools, LLM platforms, and Adobe-native AI capabilities, and recommend a direction.

Training & Enablement: Train and mentor engineers, marketing operations, and Sales stakeholders on AI tools, prompt design, and responsible use. Run workshops and maintain playbooks and reusable templates.

Integration: Integrate AI solutions with Adobe Experience Cloud, Salesforce, Marketo, and other systems via APIs and event-driven patterns.

DevOps & Operations: Monitoring, and alerting for AI services, and support incident response and runbooks.