Sr. AI Growth Engineer (Remote)

Overview

Build the technical foundation of CrowdStrike's agentic AI marketing platform, including AI agents, orchestration pipelines, integrations, internal tooling and UIs. Lead the Marketing Engineering pillar and report to the VP of Marketing Excellence & Transformation.

What you'll do

• Build integrations connecting the AI campaign engine to the marketing stack, including 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, including 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, including 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 the 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, including automated testing for agent outputs, regression detection, deployment pipelines, monitoring and alerting.
• Optimize performance, including caching, parallelization, and cost management for LLM API calls across high-volume campaign runs.
• Partner with Performance Marketing, Digital Intelligence, Engineering, and marketing leadership to keep the roadmap technically sound and connected to business outcomes.

What you'll need

• 8+ years of full-stack engineering experience with Python and modern JavaScript or TypeScript.
• Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
• Frontend engineering experience building production web applications with React (or equivalent), designing interfaces that drive adoption with non-technical users.
• Production experience with LLM/AI APIs such as Claude, GPT, or similar models at scale, including token management, rate limiting, error handling, reliability, and cost optimization.
• Demonstrated experience designing, building, and deploying 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: architecting multi-service platforms, designing APIs, and making infrastructure decisions that hold up as the system scales.
• Integration experience connecting systems via REST APIs, webhooks, and OAuth, and working with enterprise tools (project management, CMS, marketing automation platforms).
• A strong builder mindset: prioritizing shipping a working v1 and iterating, thriving in ambiguity, and making smart architectural calls.
• Strong communication skills and the ability to translate technical concepts for non-technical audiences.
• Working knowledge of CI/CD, containerization, cloud infrastructure, and observability (AWS preferred).
• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

Nice to have

• 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, including 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.
• Familiarity with document and content pipelines, including 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.

Details

• Location: Preference for candidates in Seattle, WA or located remotely on the West Coast.
• Work mode: Remote.
• Base salary range for U.S. candidates: $160,000 - $250,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package.
• Expected close date of job posting: 12-02-2026.