At a Glance
- Tasks: Lead customer success by deploying and optimising AI software solutions.
- Company: Join Cognition.ai, a pioneering AI lab transforming engineering with innovative technology.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Work alongside top talent from leading AI companies in a fast-paced setting.
- Why this job: Be at the forefront of AI technology and make a real impact in engineering.
- Qualifications: STEM degree and experience in enterprise deployments; strong communication skills required.
The predicted salary is between 60000 - 80000 £ per year.
This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network.
Salary: Not Disclosed
Company Description: Cognition.ai - Pioneering AI software agents, makers of Devin.
As a Deployed Engineer at Cognition.ai, you'll be a customer-facing technical expert, ensuring clients maximize value from Devin, the first AI software engineer. You'll lead pre-sales, design compelling demos, execute pilots, and build deep relationships with engineering teams to drive product adoption and success.
Location: London, UK
Why this role is remarkable:
- Join Cognition.ai, an applied AI lab at the forefront of building end-to-end software agents, including Devin, the world's first AI software engineer.
- Work with a small, talent-dense team comprising world-class competitive programmers and leaders from cutting-edge AI companies like Google DeepMind and Scale AI.
- Directly impact customer success and product roadmap by being the technical expert, driving adoption of groundbreaking AI technology in real-world engineering organizations.
What you will do:
- Own the entire technical customer lifecycle, from initial deployment through activation, ensuring successful utilization of Devin.
- Collaborate closely with customers to identify their technical challenges and pinpoint optimal use cases for Devin's productivity.
- Build and nurture strong relationships with customer engineering teams to facilitate seamless product integration and drive widespread adoption.
The ideal candidate:
- Possesses a STEM degree and a proven track record of successful enterprise deployments in GTM or forward-deployed engineering roles.
- Is a natural relationship-builder and an excellent communicator, comfortable discussing complex technical topics with diverse stakeholders.
- Thrives in ambiguous, fast-paced environments, demonstrating a willingness to move quickly and rapidly expand scope and responsibility.
Required skills: Pre-sales, Relationship Building
Required languages: English
AI Deployment Engineer — Customer Success & Pre-Sales employer: Jack & Jill
Cognition.ai is an exceptional employer, offering a dynamic work environment in London where innovation meets collaboration. As a Deployed Engineer, you'll be part of a small, elite team of AI experts, driving customer success and shaping the future of AI technology. With opportunities for professional growth and direct impact on product development, Cognition.ai fosters a culture of excellence and creativity, making it an ideal place for those passionate about cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Deployment Engineer — Customer Success & Pre-Sales
✨Tip Number 1
Get to know Jack! He’s your go-to AI for understanding your skills and what you want from your career. Chat with him on our website to get tailored advice and find the best opportunities that match your profile.
✨Tip Number 2
Be ready to showcase your technical expertise! When you talk to Jack, highlight your experience with enterprise deployments and how you've tackled complex challenges. This will help him present you as a strong candidate to Jill.
✨Tip Number 3
Don’t underestimate the power of relationships! As a Deployed Engineer, building rapport with clients is key. Share examples of how you've successfully collaborated with engineering teams in the past during your chat with Jack.
✨Tip Number 4
Stay flexible and open-minded! The tech landscape is always changing, so be prepared to discuss how you can adapt and thrive in fast-paced environments. This will impress both Jack and Jill when they’re considering you for the role.
We think you need these skills to ace AI Deployment Engineer — Customer Success & Pre-Sales
Some tips for your application 🫡
Show Your Technical Expertise:Make sure to highlight your technical skills and experience in your application. We want to see how you've tackled complex challenges in the past, especially in customer-facing roles. Don't be shy about showcasing your STEM background!
Tailor Your Application:Take a moment to customise your application for this specific role. Mention how your previous experiences align with the responsibilities of an AI Deployment Engineer. We love seeing candidates who take the time to connect their skills with what we're looking for.
Communicate Clearly:Since this role involves a lot of relationship-building, make sure your application reflects your communication skills. Use clear and concise language, and don't hesitate to share examples of how you've effectively communicated complex ideas to diverse audiences.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets into the right hands. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Jack & Jill
✨Know Your Stuff
Make sure you understand the ins and outs of Devin, the AI software engineer. Familiarise yourself with its features and how it can solve real-world engineering problems. This will help you answer technical questions confidently and show that you're genuinely interested in the product.
✨Build Rapport
Since this role involves a lot of customer interaction, practice your relationship-building skills. Think about how you can connect with the interviewers on a personal level. Share relevant experiences where you've successfully collaborated with clients or teams to drive product adoption.
✨Prepare for Technical Challenges
Expect to discuss complex technical topics during the interview. Brush up on your knowledge of enterprise deployments and be ready to explain how you've tackled similar challenges in the past. Use specific examples to illustrate your problem-solving abilities.
✨Ask Insightful Questions
Show your enthusiasm for the role by preparing thoughtful questions about Cognition.ai's goals and the future of Devin. Inquire about the team dynamics and how they measure success in customer relationships. This not only demonstrates your interest but also helps you gauge if the company is the right fit for you.
