At a Glance
- Tasks: Engage with clients to showcase AI solutions and drive technical wins.
- Company: Join CrewAI, a leader in AI technology with a dynamic team.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Other info: Collaborative environment with a focus on career development.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: 3+ years in a technical role, strong Python skills, and AI knowledge.
The predicted salary is between 60000 - 80000 € per year.
Overview
The Solutions Engineer at CrewAI is a pre‑sales technical role 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
CrewAI is an exceptional employer that fosters a dynamic work culture where innovation meets collaboration. As a Solutions Engineer, you will not only engage with cutting-edge AI technologies but also enjoy ample opportunities for professional growth through hands-on experience and thought leadership initiatives. With a focus on employee development and a supportive team environment, CrewAI empowers its staff to thrive in their careers while making a meaningful impact in the AI landscape.
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 these in detail. Visuals can really help convey your ideas and make a lasting impression.
✨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 check out our website for openings!
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 relevant experience!
Tailor Your Application:When applying, tailor your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We love seeing candidates who take the time to connect their background with what we’re looking for at CrewAI.
Demonstrate Your Communication Skills:Since this role involves presenting to both technical and executive audiences, make sure your written application reflects your communication prowess. We want to see clarity and confidence in your writing, so keep it engaging and professional!
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 Solutions Engineer role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at CrewAI
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, APIs, and cloud platforms like AWS, Azure, or GCP. Brush up on AI/ML concepts and be ready to discuss how they relate to the role. The more you know, the more confident you'll feel when answering technical questions.
✨Master the Art of Demos
Prepare to showcase your demo skills by creating a compelling proof-of-concept that highlights CrewAI’s multi-agent capabilities. Think about how you can tailor your presentation to different audiences, from engineers to C-suite executives, and practice delivering it smoothly.
✨Understand the Sales Cycle
Familiarise yourself with the sales process and how a Solutions Engineer fits into it. Be ready to discuss how you can partner with Account Executives and contribute to deal velocity. Showing that you understand the sales cycle will demonstrate your business acumen.
✨Engage with Questions
During the interview, don’t hesitate to ask insightful questions about the company’s technology stack, current projects, and team dynamics. This not only shows your interest but also helps you gauge if the role aligns with your career goals.
