Sr. Software Engineer, MarTech (Remote)

About the 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 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.

Pay and benefits

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. Collaboration: Work with the AEP and platform engineers on data access, environments, and releases.

What You'll Need Bachelor's or Master's degree in Computer Science, Data Science, or a related field (or equivalent practical experience). 5+ years of software or data engineering experience, including 2+ years taking LLM or ML solutions to production. Hands-on experience with LLM APIs, agent frameworks, prompt engineering, tool calling, and orchestration. Familiarity with marketing business domain in Hi-Tech industry.

Experience with RAG, embeddings, vector or hybrid search, and ML-based entity resolution, classification, or scoring. Experience with evaluation methods, prompt and model versioning, and production monitoring. Strong Python and SQL, plus TypeScript/JavaScript or Java, and experience building RESTful APIs.

Working knowledge of CRM and marketing automation data models (leads, contacts, accounts) in platforms such as Salesforce and Marketo. Experience with a major cloud platform (AWS or Azure), CI/CD tools (Jenkins, GitLab CI/CD), and GitHub. Understanding of data governance, privacy (GDPR, CCPA), and responsible AI practices. Demonstrated ability to train and mentor technical and non-technical colleagues.

Ability to balance project work with operational tasks and to work Pacific Time (PT) business hours. Nice to Haves Experience with Adobe Experience Platform, Adobe Analytics, Target, Journey Optimizer, AEM, Firefly, or GenStudio. Experience with search platforms (Elasticsearch, OpenSearch, Algolia). Experience with Snowflake, Databricks, or Kafka.

Experience with sales technology (engagement, intent, or enrichment tools) or bot and fraud mitigation. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed.

We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at for further assistance. Find out more about your rights as an applicant.

Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $125,000 - $180,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.

For detailed information about the U.S. benefits package, please click here. Expected Close Date of Job Posting is:12-16-2026