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- Tasks: Engage with clients to design AI solutions and deliver impactful demos.
- Company: Join CrewAI, a leader in AI technology with a vibrant team culture.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Other info: Collaborate with diverse teams and influence product development.
- Why this job: Be at the forefront of AI innovation and help businesses transform.
- 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- 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.
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 in London employer: crewAI, Inc.
Contact Detail:
crewAI, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Engineer in London
✨Tip Number 1
Get to know the company inside out! Research CrewAI's products, values, and recent news. This will help you tailor your conversations and show genuine interest during interviews.
✨Tip Number 2
Practice your demo skills! Since you'll be building proof-of-concept demos, make sure you're comfortable showcasing technical solutions. Use mock scenarios to refine your presentation style.
✨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or attend industry events. This can give you insider tips and potentially a referral, which can really boost your chances.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the CrewAI team!
We think you need these skills to ace Solutions Engineer in London
Some tips for your application 🫡
Show Your Technical Skills: Make sure to highlight your technical expertise in your application. We want to see your experience with Python, APIs, and cloud platforms like AWS or Azure. Don’t forget to mention any hands-on projects or demos you've worked on!
Tailor Your Application: Take the time to customise your application for the Solutions Engineer role. We love seeing how you can translate complex requirements into solutions. Use examples from your past experiences that align with what we do at CrewAI.
Communicate Clearly: Your communication skills are key! When writing your application, be clear and concise. We need to know you can present technical concepts to both engineers and executives, so show us your best writing style.
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 shows you’re keen on joining our team!
How to prepare for a job interview at crewAI, Inc.
✨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 CrewAI's multi-agent platform. This will show that you can translate complex requirements into effective solutions.
✨Master the Art of Demos
Prepare to showcase your skills by building a compelling proof-of-concept demo. Think about how you can highlight CrewAI’s capabilities in a way that resonates with both technical and executive audiences. Practice delivering this demo under time pressure to simulate real interview conditions.
✨Engage with Sales Mindset
Understand the sales cycle and how your role as a Solutions Engineer fits into it. Be ready to discuss how you would partner with Account Executives and handle objections. Show that you can not only provide technical insights but also contribute to closing deals.
✨Communicate Clearly and Confidently
Your communication skills are key! Prepare to present technical proposals and architecture diagrams clearly. Practice explaining complex ideas simply, as you’ll need to earn the trust of both engineers and C-suite executives during the interview.