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- Tasks: Drive customer success by creating innovative tech solutions and guiding them through implementation.
- Company: Join a leading tech firm focused on Generative AI and Google Cloud.
- Benefits: Enjoy medical, dental, vision, PTO, pension, and remote work flexibility.
- Why this job: Be at the forefront of AI technology and make a real impact on businesses.
- Qualifications: Bachelor's degree in Computer Science or related field; 3+ years in a technical role.
- Other info: Collaborative environment with opportunities for professional development and growth.
The predicted salary is between 36000 - 60000 £ per year.
As a Customer Engineer, you will be a key player in driving our customers' success by translating their business needs into innovative and effective technical solutions. You will partner with sales teams to understand customer challenges, design and present compelling solutions, and guide customers through the implementation and adoption of our products and services, with a focus on Generative AI solutions on Google Cloud. This role requires a blend of technical depth, business acumen, and strong communication skills, with a specialization in applying Generative AI technologies to solve complex business problems. A Customer Engineer needs a blend of strong technical skills in cloud-native technologies, including AI/ML, and excellent communication and problem-solving abilities to assist customers with their cloud solutions.
Core Focus:
- Google Cloud Platform (GCP) Expertise
- Cloud-Native Proficiency: Kubernetes, containers, and serverless architectures.
- GCP Service Mastery: Deep knowledge of core GCP services (Compute Engine, Storage, SQL, BigQuery, etc.), with a strong emphasis on Vertex AI and other AI/ML offerings.
- Vertex AI: Expertise in building, deploying, and scaling machine learning models with Vertex AI, including AutoML, custom training, and pre-trained models. Understanding of Vertex AI's role in enabling generative AI solutions.
- GCP AI/ML Services: Knowledge of other relevant Google Cloud AI/ML services and APIs (e.g., Natural Language API, Vision API).
- Infrastructure Automation: IaC with Terraform or Cloud Deployment Manager.
- Cloud Solution Design: Building scalable, secure, and resilient cloud architectures, including designing AI/ML infrastructure.
- Data Handling: Big data analytics, warehousing, and ETL/ELT processes, with a focus on leveraging data for AI/ML.
- Network & Security: Comprehensive understanding of cloud networking and security principles, including security best practices for AI/ML workloads.
- Database Management: Experience with SQL and NoSQL databases, including database solutions for AI/ML applications (e.g., vector databases).
Responsibilities:
- Customer Engagement: Partner with sales teams to identify and qualify business opportunities and understand key customer technical objections, with a focus on Generative AI opportunities. Develop strategies to overcome technical blockers and drive solution adoption, specifically for Generative AI solutions. Build and maintain strong relationships with key technical stakeholders and executive leaders at customer organizations, with an emphasis on understanding their Generative AI needs.
- Solution Design & Architecture: Analyze customer business and technical requirements to design comprehensive solutions that address their needs, with a focus on Generative AI use cases. Develop and present solution architectures, including diagrams, documentation, and best practices, with a focus on integrating Generative AI components. Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to successfully implement solutions, including Generative AI solutions.
- Technical Leadership: Provide deep technical expertise to support customer engagements, including technology advocacy, product and solution briefings, and proofs-of-concept, with a focus on Google Cloud's Generative AI capabilities. Guide customers through assessments of their existing environments and provide recommendations for modernization and optimization, including incorporating Generative AI. Stay up-to-date on industry trends and emerging technologies, especially in Generative AI, and drive innovation and best practices.
- Collaboration: Work closely with product management and engineering teams to prioritize customer needs and influence product development, including requirements for Generative AI products and services. Collaborate with internal teams and partners to ensure successful solution delivery and customer satisfaction, including Generative AI solutions. Share knowledge and best practices with the broader team and contribute to the development of internal tools and processes, including those related to Generative AI.
- Pre-sales Support: Participate in the technical aspects of Request for Proposals (RFPs), including those involving Generative AI solutions. Conduct product demonstrations and prototypes in customer environments, showcasing Google Cloud's Generative AI offerings. Experience in writing Statements of Work (SOWs) that clearly define project scope, deliverables, and timelines.
Requirements:
- Qualifications: Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience preferred. 3 + years of experience in a customer-facing technical role, such as solutions architect, sales engineer, or consultant. Strong understanding of cloud computing concepts, platforms, and services (preferably Google Cloud).
- Supporting Technical Skills: Scripting: Proficiency in Python, Go, or Bash for automation. Problem-Solving: Strong troubleshooting and diagnostic abilities. Communication: Clear communication of complex technical information. Customer Service: Effective interaction and support for clients. DevOps Practices: Familiarity with DevOps principles and tools.
- Preferred Qualifications: Experience in migrating applications and services to cloud platforms. Experience with networking concepts such as software-defined networking, routing, virtual private networks, load balancers, and firewalls. Experience with security concepts such as encryption, identity management, access control, attack vectors, and penetration testing. Excellent presentation, communication, and interpersonal skills. Ability to travel to customer sites as needed.
Benefits:
- Medical, Dental, Vision
- PTO
- Pension
- Professional Development
- Macbook Laptop
- Remote work flexibility
Customer Engineer in London employer: WALT Labs
Contact Detail:
WALT Labs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Engineer in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to Generative AI and Google Cloud. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. Focus on how you would tackle customer challenges using GCP and Generative AI solutions. The more you rehearse, the more confident you'll feel when it’s showtime!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you. Plus, it’s a great way to ensure your application gets seen by the right people. Let’s get you that Customer Engineer role!
We think you need these skills to ace Customer Engineer in London
Some tips for your application 🫡
Show Off Your Technical Skills: Make sure to highlight your technical expertise, especially in cloud-native technologies and Generative AI. We want to see how you can translate complex concepts into practical solutions for our customers.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Customer Engineer role. Mention your experience with Google Cloud and any relevant projects you've worked on.
Communicate Clearly: Strong communication skills are key for this role. Use clear and concise language in your application to demonstrate your ability to convey complex information effectively. We love a good storyteller!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining our team!
How to prepare for a job interview at WALT Labs
✨Know Your GCP Inside Out
Make sure you brush up on your Google Cloud Platform knowledge, especially around core services like Compute Engine, Storage, and Vertex AI. Be ready to discuss how these services can be applied to solve real customer problems, particularly in the realm of Generative AI.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex technical challenges in previous roles. Highlight your experience with cloud-native technologies and how you've used them to create effective solutions for customers.
✨Communicate Clearly and Confidently
Since this role requires strong communication skills, practice explaining technical concepts in a way that's easy to understand. Use clear examples and avoid jargon when possible, as you'll need to engage with both technical and non-technical stakeholders.
✨Demonstrate Your Customer Engagement Experience
Be ready to discuss your experience working directly with customers. Share how you've built relationships, understood their needs, and guided them through the implementation of technical solutions, especially those involving AI/ML technologies.
