AI Solutions Strategist, GTM Applications (Remote)
About The Position
This role is part of CrowdStrike’s Core Tech, Go To Market IT Apps Team — a high-performing organization delivering scalable, secure, and intelligent GTM capabilities that accelerate business velocity and operational excellence. As part of the GTM AI Pod, team members are expected to embrace Agentic AI technologies, leverage modern AI engineering practices, and contribute toward building next-generation intelligent GTM workflows. As a GTM AI Deployment Strategist, you will serve as a hands-on technical leader responsible for deploying, scaling, and overseeing delivery of enterprise AI solutions across CrowdStrike’s GTM ecosystem. This is not a traditional Product Manager or pure Development role. Instead, the role bridges business strategy, AI solution implementation, workflow orchestration, stakeholder alignment, and execution leadership. You will collaborate closely with Product Managers, Developers, Architects, and Business Stakeholders to transform business requirements into scalable AI-enabled solutions. The role requires strong stakeholder management skills, technical depth in AI technologies and integrations, and the ability to drive end-to-end delivery while remaining hands-on in solution design, deployment planning, orchestration patterns, and implementation guidance.
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.
Nice To Haves
- Familiarity with MCP (Model Context Protocol) and enterprise AI interoperability patterns.
- Experience with GTM and revenue platforms such as Salesforce, Gong, Clari, Outreach, or Salesloft.
- Familiarity with enterprise AI observability and monitoring platforms such as LangSmith or OpenTelemetry.
Responsibilities
- 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.
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
- health insurance
- 401k
- paid time off
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
