Senior Full Stack Engineer

Role Overview

• 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

Requirements

• 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)

Tech Stack

• AWS
• Cloud
• JavaScript
• Python
• React
• TypeScript

Benefits

• 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