Sr. Software Engineer, MarTech
Backend Developer
Marketing
Adobe Experience Cloud
Ai Ml
Application Support
Artificial Intelligence
Business Systems
Cloud Operations
CRM
Crm Analytics
Crm Integration
Data Analysis
Data Analytics
Data Integration
Data Platform
Data Processing
DevOps
Event Driven Architecture
Generative AI
Information Technology (IT)
Large Language Models
Machine Learning
Marketing Cloud
Marketing Technology
Pii Compliance
Relationship Management
Salesforce
Salesforce Crm
Software
Software Development
Software Engineering
SQL
Job Description
CrowdStrike is hiring a Sr. Software Engineer (MarTech) to support the Marketing IT team in applying AI to improve marketing and sales workflows. This role focuses on platform engineering and practical delivery of LLM-based solutions, including evaluation, integrations, and hands-on enablement for Marketing and IT teams.
This position is based in Sunnyvale, CA (remote) and offers USD 125,000 to 225,000 per year. Candidates should have at least 5 years of relevant experience, with advanced work bringing LLM or ML solutions into production.
What you will do
- Partner with Marketing teams to identify, prioritize, and scope AI opportunities, with success metrics tied to business outcomes.
- Build and deploy LLM-based agents for event invitations, account and contact prospecting, and partner workflows, including orchestration and human-in-the-loop controls.
- Create 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.
- Modernize site search and partner locator using semantic and hybrid retrieval, embeddings, and RAG grounded in approved content.
- Improve partner lead ROI reporting and support Adobe Analytics adoption using AI-assisted analysis.
- Define evaluation metrics and regression tests, and monitor accuracy, latency, and cost. Implement PII handling, consent enforcement, and audit logging in collaboration with Security, Privacy, and Legal.
- Evaluate AI tools, LLM platforms, and Adobe-native AI capabilities, then recommend a technical direction.
- 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.
- Integrate AI solutions with Adobe Experience Cloud, Salesforce, Marketo, and other systems using APIs and event-driven patterns.
- Implement monitoring and alerting for AI services, and support incident response and runbooks.
- Collaborate with AEP and platform engineers on data access, environments, and releases.
- Enable Marketing and IT team members to adopt AI effectively and responsibly.
What you bring
- 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 the marketing business domain in the 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 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.
- Ability to train and mentor both technical and non-technical colleagues.
- Ability to balance project work with operational tasks and work Pacific Time (PT) business hours.
Technologies you will work with
- LLM, machine learning, Python, SQL, TypeScript/JavaScript, Java
- RESTful APIs, LLM APIs, agent frameworks, prompt engineering, tool calling, orchestration
- RAG, embeddings, vector search, hybrid retrieval
- Salesforce, Marketo, Adobe Experience Cloud, Adobe Analytics
- APIs, event-driven patterns, AWS, Azure
- Jenkins, GitLab CI/CD, GitHub
- GDPR, CCPA, human-in-the-loop controls, PII handling
Benefits
- Market leader in compensation and equity awards
- Comprehensive physical and mental wellness programs
- Competitive vacation and holidays
- Paid parental and adoption leaves
- Professional development opportunities for all employees regardless of level or role
- Employee Networks, geographic neighborhood groups, and volunteer opportunities
- Vibrant office culture with world class amenities
- Great Place to Work Certified™ across the globe
- Health insurance
- 401k
- Paid time off
Nice to have
- 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.
Expected close date: 12-07-2026