AI Solutions Strategist, GTM Applications (Remote)

CrowdStrike

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $145,000–$220,000 / yr
Posted: 3 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $205k

This role $182k

$133k most similar roles pay here $254k

This role pays less than 69% of similar roles. Most pay $168,375–$242,500 — the shaded band above. At the midpoint, this role pays about $182k versus about $205k for comparable roles.

Based on 240 similar postings.

Employer

About CrowdStrike

CrowdStrike is a leading American cybersecurity technology firm, specializing in cloud-native endpoint protection, threat intelligence, and incident response.

CrowdStrike currently has 27 open roles on FindRole.

Listed pay typically runs $140,000–$215,000 across 27 roles with salary data.

Most-posted roles

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At a glance

TL;DR · AI Solutions Strategist, GTM Applications (Remote)

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As part of CrowdStrike’s Core Tech Go To Market IT Apps Team, the GTM AI Deployment Strategist role involves leading the design, deployment, and operationalization of agentic AI workflows across platforms like Salesforce, Slack, and Snowflake. This hands-on technical leader will collaborate with Product Managers, Developers, Architects, and Business Stakeholders to transform business requirements into scalable AI-enabled solutions, driving end-to-end delivery while ensuring alignment with enterprise standards. Key responsibilities include defining integration patterns for LLM-powered agents, overseeing implementation of intelligent workflows, establishing deployment standards, and partnering with Information Security teams to ensure responsible AI practices. The role requires expertise in AI orchestration frameworks like LangGraph and CrewAI, experience with LLM APIs, RAG architectures, vector databases, and a deep understanding of enterprise integrations and GTM platforms.

Skills

LangGraph CrewAI LangChain Semantic Kernel MCP OpenAI Anthropic AWS Bedrock Salesforce RAG Vector databases AI observability LLM APIs Prompt security AI risk mitigation Enterprise integrations APIs Event-driven architectures Gong Clari Outreach Salesloft LangSmith OpenTelemetry

What you'll do

Lead the design, deployment, and operationalization of agentic AI workflows across GTM platforms.
Define scalable integration patterns for LLM-powered agents and enterprise AI services using modern technologies.
Oversee implementation of intelligent workflows with human-in-the-loop escalation and governance controls.
Establish AI deployment standards and reusable design patterns for engineering teams.
Lead architecture and delivery reviews to ensure AI solutions are secure, maintainable, and aligned with enterprise standards.
Partner with Information Security teams to ensure responsible AI practices and policy compliance.

What we're looking for

At least 10 years of experience in enterprise technology or product engineering environments.
Proven leadership in cross-functional programs and stakeholder management across business and tech organizations.
Hands-on experience designing and deploying AI/LLM-powered enterprise solutions for at least 3 years.
Deep understanding of AI orchestration frameworks like LangGraph, CrewAI, and similar platforms.
Experience with LLM APIs and enterprise AI platforms including OpenAI, Anthropic, AWS Bedrock, or equivalents.
Expertise in implementing RAG architectures, vector databases, AI observability, and intelligent workflow orchestration.

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