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For Companies At a Glance
- Tasks: Lead technical discovery, design solutions, and deliver compelling demos for AI platforms.
- Company: Join CrewAI, a leader in AI agent orchestration with a dynamic team culture.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and influence product development while driving sales success.
- Why this job: Be at the forefront of AI technology and make a real impact in sales.
- Qualifications: 3+ years in a technical role, strong Python skills, and a passion for AI.
The predicted salary is between 60000 - 80000 £ per year.
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.
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.
Solutions Engineer employer: crewAI, Inc.
Contact Detail:
crewAI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Engineer
✨Tip Number 1
Get to know the company inside out! Research CrewAI's products, values, and recent news. This way, when you chat with them, you can show off your knowledge and passion for what they do.
✨Tip Number 2
Practice makes perfect! Set up mock interviews with friends or use online platforms to simulate the interview experience. Focus on explaining complex technical concepts in simple terms—this is key for a Solutions Engineer role.
✨Tip Number 3
Showcase your skills through demos! If you’ve built any proof-of-concept projects or have relevant experience, be ready to discuss them. Visuals can really help convey your ideas and demonstrate your technical prowess.
✨Tip Number 4
Don’t forget to network! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and might even lead to a referral—definitely a win!
We think you need these skills to ace Solutions Engineer
Some tips for your application 🫡
Show Your Technical Skills: Make sure to highlight your technical expertise in Python, APIs, and cloud platforms in your application. We want to see how you can translate complex requirements into effective solutions, so don’t hold back on showcasing your experience!
Tailor Your Application: Take the time to customise your application for the Solutions Engineer role. Mention specific experiences that align with the responsibilities outlined in the job description, like building demos or working closely with sales teams. This shows us you’re genuinely interested!
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language and structure your thoughts logically. We appreciate a well-organised application that makes it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at crewAI, Inc.
✨Know Your Tech Inside Out
As a Solutions Engineer, you need to be well-versed in AI/ML concepts and technologies. Brush up on your Python skills and get familiar with APIs and cloud platforms like AWS or Azure. Being able to discuss these topics confidently will show that you're the right fit for the role.
✨Master the Art of Demos
Since you'll be building proof-of-concept demos, practice delivering engaging presentations. Tailor your demos to showcase how CrewAI's platform meets specific prospect needs. Remember, it's not just about the tech; it's about how it solves real business problems.
✨Understand the Sales Cycle
Get a grip on the sales process and how your role fits into it. Familiarise yourself with common objections and competitive differentiation strategies. This knowledge will help you partner effectively with Account Executives and earn the trust of potential clients.
✨Stay Current and Be Curious
Keep up with the latest trends in AI and multi-agent systems. Show your enthusiasm for learning by discussing recent developments or projects you've been involved in. This will demonstrate your commitment to thought leadership and your ability to contribute to CrewAI's innovative edge.