Senior Software Engineer, MarTech

CrowdStrike

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: TX
Salary: $125,000–$180,000 / yr
Employment: Full-time
Posted: 8 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $189k

This role $152k

$112k $243k

below market most similar roles pay here above market

This role pays less than 77% of similar roles. Most pay $160,761–$217,500 — the blue band above. At the midpoint, this role pays about $152k versus about $189k for comparable roles.

Based on 240 similar postings.

Employer

About CrowdStrike

CrowdStrike is a leading American cybersecurity technology firm, specializing in cloud-native endpoint protection, threat intelligence, and incident response.

CrowdStrike currently has 22 open roles on FindRole.

Listed pay typically runs $112,500–$167,500 across 22 roles with salary data.

Most-posted roles

View all roles at CrowdStrike

At a glance

TL;DR · Senior Software Engineer, MarTech

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The Sr. Software Engineer, MarTech joins the Marketing IT team to apply artificial intelligence to transform marketing and sales workflows. This role involves building LLM-based agents and machine learning solutions for digital, revenue, partner, and event marketing. Key responsibilities include developing pipelines for lead and contact data quality, modernizing site search using RAG and embeddings, and integrating AI solutions with Salesforce, Marketo, and Adobe Experience Cloud. The engineer will also perform platform engineering, define evaluation metrics, and train team members on responsible AI practices. Required technical skills include Python, SQL, TypeScript/JavaScript, or Java, along with experience in LLM APIs, prompt engineering, and cloud platforms like AWS or Azure. The role solves complex problems regarding data enrichment, fraud detection, and automated prospecting within a high-tech business domain.

What does a Software Engineer earn in Texas?

Median $178175 from 187 postings across 44 companies.

See salary data

Skills

Python SQL TypeScript JavaScript Java LLM Machine Learning RAG Embeddings RESTful APIs AWS Azure CI/CD Jenkins GitLab CI/CD GitHub Salesforce Marketo Adobe Experience Cloud Adobe Analytics Snowflake Databricks Kafka Elasticsearch OpenSearch Algolia Prompt Engineering Data Governance

What you'll do

Build and deploy LLM-based agents for event invitations, account prospecting, and partner workflows.
Develop ML pipelines to clean, deduplicate, enrich, and score leads across Salesforce and Marketo.
Modernize site search and partner locators using semantic retrieval, embeddings, and RAG.
Integrate AI solutions with Adobe Experience Cloud and other systems via APIs and event-driven patterns.
Define evaluation metrics, monitor model latency and costs, and implement PII handling and audit logging.
Train and mentor engineers and marketing stakeholders on AI tools, prompt design, and responsible use.
Evaluate AI tools and LLM platforms to recommend build vs. buy directions for marketing initiatives.
Monitor AI services and support incident response through established runbooks and alerting systems.

What we're looking for

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.
2+ years of experience taking LLM or ML solutions to production.
Hands-on experience with LLM APIs, agent frameworks, prompt engineering, tool calling, and orchestration.
Experience with RAG, embeddings, vector or hybrid search, and ML-based entity resolution, classification, or scoring.
Proficiency in Python and SQL, plus TypeScript/JavaScript or Java, and experience building RESTful APIs.
Working knowledge of CRM and marketing automation data models in platforms such as Salesforce and Marketo.
Experience with a major cloud platform (AWS or Azure), CI/CD tools, and GitHub.
Experience with Adobe Experience Platform, Adobe Analytics, Target, Journey Optimizer, AEM, Firefly, or GenStudio (preferred).
Experience with search platforms (Elasticsearch, OpenSearch, Algolia) (preferred).
Experience with Snowflake, Databricks, or Kafka (preferred).
Experience with sales technology or bot and fraud mitigation (preferred).
Experience leading internal AI training programs (preferred).
Cloud or AI certifications (preferred).

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