CrowdStrike

Sr. Software Engineer, MarTech (Remote)

In short

CrowdStrike seeks a Senior Software Engineer for its Marketing IT team to build LLM-based agents and ML solutions for event invitations, prospecting, lead/contact data quality, site search, and partner workflows, integrating with Adobe Experience Cloud, Salesforce, and Marketo. The role requires 5+ years of software/data engineering experience including 2+ years deploying LLM/ML solutions to production, strong Python/SQL skills, and working Pacific Time hours. It also involves training and mentoring Marketing and IT teams on responsible AI adoption.

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.
•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.
•Experience leading internal AI training programs.
•Cloud or AI certifications.
Benefits of Working at CrowdStrike
•Market leader in compensation and equity awards
•Comprehensive physical and mental wellness programs
•Competitive vacation and holidays for recharge
•Paid parental and adoption leaves
•Professional development opportunities for all employees regardless of level or role
•Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
•Vibrant office culture with world class amenities
•Great Place to Work Certified™ across the globe
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.

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