AI Solutions Strategist, GTM Applications

🕒 June 12

🏄 California – Remote

🏄 California – Remote

💵 $145k - $220k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🎁 Product Marketing

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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CrowdStrike

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2011

🔒 Cybersecurity

☁️ SaaS

🤖 Artificial Intelligence

Cybersecurity • SaaS • Artificial Intelligence

CrowdStrike is a cybersecurity company that provides cloud-based security services to stop breaches. It is recognized as a leader in endpoint protection, identity and cloud security, and managed detection and response. CrowdStrike's platform, Falcon, integrates artificial intelligence to offer real-time visibility, detection, and protection against sophisticated cyber threats. The company is lauded for its effectiveness in securing networks and data, making it a trusted partner for businesses worldwide.

📋 Description

• Lead the design, deployment, and operationalization of agentic AI workflows across GTM platforms (Salesforce, Slack, Marketo, CPQ, Snowflake and enterprise systems) • Drive end-to-end delivery of enterprise AI initiatives by partnering with Product Managers, Engineering teams, Security, and Business Stakeholders across the GTM ecosystem • Define scalable integration patterns for LLM-powered agents, RAG pipelines, orchestration frameworks, and enterprise AI services using LangGraph, CrewAI, MCP, or similar technologies • Oversee implementation of intelligent workflows with human-in-the-loop escalation, retry handling, observability, and governance controls • Establish AI deployment standards, reusable design patterns, and operational guardrails for the GTM AI Pod engineering teams • Collaborate closely with developers and solution teams while remaining hands-on in solution design, deployment planning, technical reviews, and implementation guidance • Lead architecture and delivery reviews to ensure AI solutions are scalable, secure, maintainable, and aligned with enterprise standards • Define standards for Agentic Development Life cycle, operating model and deployment of agents on SAAS/On-prem infrastructure • Partner with Information Security teams to ensure responsible AI practices, secure data handling, and policy controlled compliant AI workflows • Drive stakeholder alignment across business, technology teams and leadership team for strategic AI programs • Evaluate and recommend AI platforms, vector databases, orchestration tooling, and enterprise integration strategies • Champion adoption of Agentic AI and LLM-powered tooling across GTM engineering and operational workflows • Promote automation-first thinking and pragmatic application of AI/ML technologies to enterprise GTM systems • Stay current with rapidly evolving AI ecosystems, orchestration frameworks, and enterprise AI best practices • Encourage adoption of open standards and open-source AI tooling wherever appropriate • Operate with responsible AI principles including security, transparency, governance, and data privacy by default • Contributions to open-source AI ecosystems or AI engineering communities

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field • 10+ years of experience in enterprise technology, solution delivery, distributed architecture, or product engineering environments • Experience leading enterprise Agentic AI transformation initiatives • 3+ years of hands-on experience designing and deploying AI/LLM-powered enterprise solutions • Strong experience leading cross-functional programs and managing stakeholder relationships across business and technology organizations • Deep understanding of AI orchestration frameworks such as LangGraph, CrewAI, LangChain, Semantic Kernel, or similar platforms • Experience with LLM APIs and enterprise AI platforms including OpenAI, Anthropic, AWS Bedrock, or equivalent ecosystems • Experience implementing RAG architectures, vector databases, AI observability, and intelligent workflow orchestration • Experience with AI governance, prompt security, and AI risk mitigation frameworks • Strong understanding of enterprise integrations, APIs, event-driven architectures, and GTM platforms (Salesforce preferred) • Experience guiding engineering teams through implementation while remaining hands-on in solution design and deployment strategy • Strong communication, executive presentation, and technical leadership skills.

🏖️ 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