About the Role:
CrowdStrike's marketing team is building an agentic AI platform that automates end-to-end workflows. Our mission is to reinvent how marketing works at CrowdStrike, giving teams the power to move faster, create smarter, and drive greater impact.

You will architect and build the infrastructure behind modern marketing execution, from AI agents and orchestration pipelines to unified data foundations, internal tooling, and production-grade integrations. You will turn high-friction workflows into durable operating systems that teams can trust and adopt at scale.

As a Sr. Full Stack Engineer on this team, you'll own the technical foundation of this platform. You'll build the integrations, infrastructure, UIs and tooling that delivers an enterprise-grade system used by marketing teams across CrowdStrike. You'll work directly with marketing leadership to ship production capabilities fast. This role is ideally suited for a builder who can pair product thinking with hands-on execution.

You will embed directly with marketing teams, building alongside the people doing the work to solve real operational pain points. Success in this role is measured not only by what you ship, but by workflows permanently transformed, adoption that sticks, and teams that become increasingly self-sufficient.

This role leads the Marketing Engineering pillar and reports directly to the VP of Marketing Excellence & Transformation. It offers rare greenfield ownership at the intersection of AI, marketing operations, and developer tooling, with direct visibility to senior marketing leadership.

Locations: Preference for candidates in Seattle, WA or located remotely on the West Coast.

What You’ll Do:

• Build integrations: connecting the AI campaign engine to CrowdStrike's marketing stack — work management platforms (e.g., Workfront), marketing automation systems (e.g., Marketo), collaboration tools (Google Docs, Slack), CMS, and digital asset management systems

• Develop the orchestration layer: that manages multi-agent pipelines, state persistence, error recovery, and parallel execution

• Design and build intuitive web UIs: that make AI-powered workflows accessible to non-technical marketing users — campaign dashboards, workflow builders, approval interfaces, and real-time pipeline status views

• Create production tooling: including HTML/email template generation from agent outputs, design asset pipelines (PPTX, PDF, SVG), and content publishing workflows

• Build analytics infrastructure: performance dashboards, agent quality scoring, A/B test tracking, and feedback loops from distribution metrics back into the agent system

• Design, build, and deploy custom AI agents: and agentic workflows that integrate AI APIs, MCP servers, automation platforms, and enterprise systems into our GTM motion

• Implement auth, permissions, and multi-tenancy: so multiple marketing teams and campaign owners can run pipelines concurrently with appropriate access controls

• Own CI/CD and reliability: automated testing for agent outputs, regression detection, deployment pipelines, monitoring and alerting

• Optimize performance: caching, parallelization, and cost management for LLM API calls across high-volume campaign runs

• Partner closely with Performance Marketing, Digital Intelligence, Engineering, and marketing leadership: to ensure the roadmap is technically sound, operationally meaningful, and connected to business outcomes

What You’ll Need:

• 8+ years of full-stack engineering experience with Python and modern JavaScript or TypeScript

• Frontend engineering experience: you've built production web applications with React (or equivalent) and understand how to design interfaces that drive adoption with non-technical users

• Production experience with LLM/AI APIs: you've built and shipped systems that call Claude, GPT, or similar models at scale, and you understand token management, rate limiting, error handling, reliability, and cost optimization

• Demonstrated experience with AI agents: you've designed, built, and deployed agentic workflows that transformed real work, not just isolated experiments

• Experience building evaluation frameworks: for AI systems, including prompt evals, output quality scoring, benchmarking, and testing against clear baselines

• Strong systems design skills: you can architect a multi-service platform, design APIs, and make infrastructure decisions that hold up as the system scales

• Integration experience: you've connected systems via REST APIs, webhooks, OAuth, and worked with enterprise tools (project management, CMS, marketing automation platforms)

• A strong builder mindset: you would rather ship a working v1, learn quickly, and iterate than spend a quarter talking about what might be possible. You thrive in ambiguity, make smart architectural calls, and create clarity where none exists yet

• Strong communication skills and a genuine ability to translate technical concepts for non-technical audiences

• Working knowledge of CI/CD, containerization, cloud infrastructure, and observability (AWS preferred)

Bonus Points:

• Experience with multi-agent AI systems, LLM orchestration frameworks (LangChain, CrewAI, Claude Code agents), or building AI-powered automation at scale

• Experience working closely with marketing teams or building systems for marketers as end users — familiarity with work management platforms (e.g., Workfront, Asana), marketing automation systems (e.g., Marketo, HubSpot), CMS platforms, or the campaign lifecycle

• Experience building internal platforms, developer tools, or self-service systems where other teams are your customers

• Experience building workflow builders, drag-and-drop interfaces, or low-code/no-code platforms — an eye for UX and tools that non-engineers actually enjoy using

• Familiarity with document and content pipelines — HTML email rendering, PDF or PPTX generation, structured publishing workflows, or turning structured data into polished visual outputs

• Familiarity with vector databases, embeddings, retrieval systems, and RAG architectures

• Background in marketing operations, RevOps, digital product management, personalization, or journey orchestration

• Experience leading technical teams or influencing technical direction across functions

• Contributions to open-source AI or automation projects, or a track record of strong technical writing

• Prior work in high-growth B2B SaaS or cybersecurity environments

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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

CrowdStrike, Inc. is committed to fair and equitable compensation practices. 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 $140,000 - $215,000 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 .