
1 - 10 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
crewAI is a leading multi-agent platform that partners with IBM to provide AI-driven solutions for smart business growth. The company offers tools and frameworks for building, deploying, and managing automated workflows using large language models and cloud platforms. CrewAI aims to streamline business processes across various industries through its no-code tools and seamless integration with existing apps. It is widely adopted by industry leaders, including Fortune 500 companies, and supports both cloud-based and self-hosted deployment options. CrewAI also provides insights and optimization tools to continuously improve AI agent performance and enhance business intelligence.
🕒 April 9
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1 - 10 employees
🤖 Artificial Intelligence
🏢 Enterprise
☁️ SaaS
Artificial Intelligence • Enterprise • SaaS
crewAI is a leading multi-agent platform that partners with IBM to provide AI-driven solutions for smart business growth. The company offers tools and frameworks for building, deploying, and managing automated workflows using large language models and cloud platforms. CrewAI aims to streamline business processes across various industries through its no-code tools and seamless integration with existing apps. It is widely adopted by industry leaders, including Fortune 500 companies, and supports both cloud-based and self-hosted deployment options. CrewAI also provides insights and optimization tools to continuously improve AI agent performance and enhance business intelligence.
• Lead technical discovery calls to deeply understand prospects' business objectives, data landscapes, and existing technology stacks. • Translate prospect requirements into solution architectures that showcase CrewAI's multi-agent capabilities, including agent role design, workflow orchestration, and integration points. • Develop and present tailored technical proposals, architecture diagrams, and scoping documents that align CrewAI's platform to prospect needs. • Build and deliver compelling product demonstrations and proof-of-concept implementations that bring CrewAI's value to life for technical and executive audiences. • Scope, manage, and execute time-boxed POC engagements, defining clear success criteria and working hands-on with prospect engineering teams. • Develop reusable demo environments, scripts, and reference architectures that accelerate the pre-sales cycle. • Partner closely with Account Executives throughout the sales cycle—from initial qualification to technical close. • Respond to RFPs, RFIs, and security questionnaires with accurate, compelling technical content. • Serve as the trusted technical advisor for prospects, handling objections and competitive differentiation conversations with confidence. • Provide feedback to Product and Engineering teams based on patterns observed across prospect engagements. • Conduct technical workshops, webinars, and conference presentations that position CrewAI as an industry leader in AI agent orchestration. • Create and maintain technical collateral—white papers, integration guides, comparison matrices—that support the sales motion. • Stay current on competitive offerings, AI/ML trends, and emerging multi-agent design patterns.
• 3+ years in a pre-sales or customer-facing technical role (Solutions Engineer, Sales Engineer, Technical Consultant, or similar). • Strong proficiency in Python and hands-on experience with APIs, system integrations, and cloud platforms (AWS, Azure, or GCP). • Familiarity with AI/ML concepts and technologies, including LLMs, AI agent frameworks, RAG patterns, and prompt engineering. • Exceptional communication and presentation skills—comfortable presenting to both deeply technical engineers and C-suite executives. • Experience building and delivering product demos and proof-of-concept solutions under time pressure. • Knowledge of workflow orchestration, multi-agent systems, or distributed computing is a strong plus. • Bachelor's degree in Computer Science, Engineering, or a related technical field preferred. • Contributions to open-source AI agent projects or experience with GenAI solution design patterns is a significant bonus.
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