Sr. AI Growth Engineer (Remote)

About the role

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed - we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily.

Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation.

We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters?

The future of cybersecurity starts with you.

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. AI Growth 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.

Pay and benefits

Build AI solutions end-to-end for marketing: Translate marketing business problems into technical designs and working applications. Own development from initial prototypes through production deployment, including complex workflows that span multiple systems. Develop AI and agentic workflows: Design and implement agent orchestration, tool use, retrieval, context management, multi-step and agentic swarm workflows.

Make pragmatic architectural decisions based on the requirements of the applications. Integrate AI into enterprise systems: Connect AI applications to existing data, APIs, and business platforms. Partner with IT and AI platform teams to build secure, reliable solutions on shared infra.

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 Establish rigorous evaluation and validation.

Build/use evaluation harnesses, regression tests, and monitoring to measure solution quality, reliability, and business outcomes. Use these results to identify failure modes and improve system performance.

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 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 Bachelor's degree in Computer Science, Software Engineering, or a related technical field or equivalent practical experience Proven experience utilizing AI technologies and specific tooling (such as Cowork, Codex, Manus, etc.) to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes.

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 using evaluation frameworks for AI systems and applying evaluation-driven development: thinking critically about how to evaluate solutions before building them 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.

We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

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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 $160,000 - $250,000 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 click here. Expected Close Date of Job Posting is:12-02-2026