Solutions Engineer
Pre-Sales · Customer-Facing · Technical Overview The Solutions Engineer at CrewAI is a pre-sales technical role that sits at the intersection of AI expertise and business acumen. You will partner with Sales to demonstrate the transformative potential of CrewAI's multi-agent platform, translate complex prospect requirements into compelling solution architectures, and drive technical wins that accelerate deal velocity. This role is ideal for someone who thrives on the energy of the sales cycle—scoping what's possible, building proof-of-concept demos, and earning the technical trust of engineering leaders at prospective customers. Key Responsibilities Technical Discovery & Solution Design 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. Demos, POCs & Technical Validation 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. Sales Partnership & Deal Support 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. Thought Leadership & Enablement 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. Requirements Qualifications & Desired Skills 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. Team Collaboration You will work closely with Sales, Product, Engineering, and Marketing to shape the go-to-market technical narrative. You'll provide structured prospect feedback that influences the product roadmap and collaborate with the post-sales deployment team to ensure smooth handoffs for won deals. Performance Metrics Technical win rate on qualified opportunities. POC-to-close conversion rate and time-to-technical-decision. Quality and reusability of demo assets, technical proposals, and sales collateral. Pipeline influence and contribution to deal velocity. Prospect and Sales team satisfaction with technical engagement quality.