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Customer Success Engineer

Job Title: Customer Support Engineer

Location: Remote, or Seattle, WA

Company: Protect AI

Company Overview: At Protect AI, we specialize in securing AI systems and machine learning models, ensuring that our customers can trust their AI applications. Our products, including Guardian, Layer, and Recon, provide robust AI security solutions tailored to a wide range of industries.

Role Summary: The Customer Support Engineer at Protect AI will be responsible for providing technical guidance and issue resolution to customers in their production deployments. This role requires technical understanding of Kubernetes, AI, cybersecurity, and customer engagement.

Key Responsibilities and Duties:

  • Forge and maintain strong relationships with customers, becoming a trusted advisor on AI security and our product deployments.

  • Provide exceptional support to customers. Diagnose, reproduce, and resolve issues related to our AI security platform.

  • Collaborate with Customer Support Managers and the Solutions Engineering team to ensure customers have a successful post-sales journey.

  • Create and maintain knowledge base articles, runbooks, technical documentation, and best practices guides to empower customers and reduce support inquiries.

KPIs and OKRs:

  • Maintenance of high Customer Satisfaction (CSAT) scores by delivering exceptional customer support. Achieve high scores in technical support satisfaction surveys and contribute to customer retention and renewal rates.

  • Technical Issue Resolution Time: Minimize downtime by reducing the average resolution time for technical issues.

  • System Performance Improvement: Track improvements in system performance and security post-implementation.

Ideal Background Requirements:

  • 3+ years experience in customer success or related technical fields within the cybersecurity or AI industries.

  • Knowledge of maintaining and troubleshooting Kubernetes applications.

  • Experience with On-Premesis and cloud platforms (AWS, Azure, GCP)

  • Strong technical and analytical skills, capable of understanding and solving complex customer challenges.

  • Bachelor’s degree in Computer Science, Engineering, Cybersecurity, or a related technical field; relevant technical certifications are preferred.

Equal Employment Opportunity Statement:

Protect AI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Contact us if you need assistance or an accommodation due to a disability. All employment is decided based on qualifications, merit, and business need.

Salary Range: $140,000 to $220,000 based on qualifications and background experience

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$220000K

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What You Should Know About Customer Success Engineer, Protect AI

As a Customer Success Engineer at Protect AI, you will play a vital role in ensuring that our customers' AI systems are secure and functioning smoothly. Working remotely or from our Seattle office, you will be the go-to expert for technical guidance, providing outstanding support as customers navigate our AI security platform. Your responsibilities will include troubleshooting and resolving technical issues, maintaining strong relationships with customers, and acting as a trusted advisor for our cutting-edge products like Guardian, Layer, and Recon. You'll engage with customers to understand their needs deeply and craft tailored solutions that empower them to leverage our tools effectively. This position not only allows you to utilize your technical skills in Kubernetes, AI, and cybersecurity but also fosters collaboration with our Customer Support Managers and Solutions Engineering team to ensure a seamless post-sales experience. You will have the opportunity to create valuable resources, such as knowledge base articles and documentation, to further enhance customer satisfaction and success. With a firm commitment to customer service excellence, you’ll be instrumental in maintaining high CSAT scores and improving system performance post-implementation, all while working in a diverse and inclusive environment. If you're ready to make a significant impact and grow within an innovative company, Protect AI is eager to welcome you on board!

Frequently Asked Questions (FAQs) for Customer Success Engineer Role at Protect AI
What are the daily responsibilities of a Customer Success Engineer at Protect AI?

The Customer Success Engineer at Protect AI is responsible for providing technical support and guidance to customers using our AI security products. Daily tasks include troubleshooting technical issues, maintaining customer relationships, and collaborating with teams to enhance customer experiences. You'll be creating technical documentation and best practices guides to empower users, striving to achieve high customer satisfaction scores, and minimizing resolution times for any challenges customers may face.

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What qualifications are required for the Customer Success Engineer position at Protect AI?

Ideal candidates for the Customer Success Engineer position at Protect AI should have a minimum of 3 years of experience in customer success or a related technical field, preferably in AI or cybersecurity. A strong understanding of Kubernetes and experience with cloud platforms like AWS, Azure, or GCP is necessary. A Bachelor’s degree in a technical field, such as Computer Science, Engineering, or Cybersecurity, is preferred, as well as relevant certifications that demonstrate your expertise.

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How does Protect AI ensure customer satisfaction in the Customer Success Engineer role?

At Protect AI, customer satisfaction is paramount. As a Customer Success Engineer, you will focus on maintaining high Customer Satisfaction (CSAT) scores by providing exceptional technical support and being a reliable resource for customers. Your efforts in diagnosing issues quickly, producing effective technical documentation, and actively engaging with customers are key to enhancing their experience and promoting retention and renewal rates.

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What kind of technical skills should a Customer Success Engineer possess?

A Customer Success Engineer at Protect AI should have strong technical and analytical skills that allow you to understand complex challenges. Essential skills include the ability to troubleshoot and maintain Kubernetes applications, familiarity with AI security principles, and experience with on-premises and cloud solutions. Effective communication and problem-solving skills are also crucial to help customers maximize their use of our products.

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Can you describe the career growth opportunities for a Customer Success Engineer at Protect AI?

There are significant career growth opportunities for a Customer Success Engineer at Protect AI. By delivering exceptional support and developing relationships with customers, you can expand your technical expertise and move into more senior roles such as a Customer Support Manager or Solutions Engineer. The company's commitment to professional development allows employees to explore various paths within the organization while contributing to innovative AI security solutions.

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Common Interview Questions for Customer Success Engineer
How do you approach troubleshooting a technical issue for a customer?

When faced with a technical issue, I first gather all relevant information from the customer to understand the context and specifics of the problem. I then replicate the issue in a controlled environment to diagnose it accurately. Throughout the process, I maintain clear communication with the customer, providing updates on my findings and expected time frames for resolution to ensure they feel supported.

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Can you describe your experience working with Kubernetes?

I have over three years of experience working with Kubernetes, primarily focusing on deploying and managing applications within containerized environments. I am comfortable with troubleshooting issues, scaling services, and monitoring performance. I believe sharing best practices with customers is essential, and I aim to empower them by providing documentation that helps them manage their Kubernetes applications effectively.

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How would you ensure customer satisfaction in your role?

Ensuring customer satisfaction starts with actively listening to their needs and concerns. I prioritize clear communication and timely responses to their inquiries. By consistently delivering high-quality support and following up on resolved issues to confirm satisfaction, I can help build trust and foster long-term relationships. I also use customer feedback to improve my service continuously.

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What strategies do you use to keep up with industry trends in AI and cybersecurity?

I participate in industry webinars, subscribe to relevant publications, and join professional communities to stay on top of the latest trends in AI and cybersecurity. Engaging with peers and following thought leaders on platforms like LinkedIn allows me to absorb valuable insights and apply them to my role as a Customer Success Engineer at Protect AI.

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What do you think is the most challenging aspect of being a Customer Success Engineer?

One of the most challenging aspects of being a Customer Success Engineer can be managing customer expectations during times of technical difficulties. Maintaining a calm demeanor, communicating effectively, and providing timely updates are crucial to alleviate concerns. Ultimately, establishing trust is key, and I focus on being transparent and proactive in my problem-solving efforts.

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How do you prioritize multiple customer requests?

When faced with multiple customer requests, I prioritize based on urgency and impact. I assess which issues are causing the greatest disruption for the customers and tackle those first. Additionally, I communicate with all customers to manage expectations regarding response times and ensure they feel valued during the resolution process.

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What experience do you have with cloud platforms like AWS or Azure?

I have extensive experience with both AWS and Azure, where I’ve worked on deploying applications, configuring services, and optimizing performance for customers. My familiarity with cloud networking, storage solutions, and best practices enables me to provide insightful recommendations that enhance our customers' use of Protect AI's products.

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How would you explain a technical concept to a non-technical customer?

To explain a technical concept to a non-technical customer, I focus on using simple language and relatable analogies that resonate with their understanding. By breaking down the concept into manageable parts and addressing potential questions proactively, I ensure they grasp the essential information without feeling overwhelmed by technical jargon.

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What steps would you take if you encountered a complex issue that you couldn’t resolve immediately?

If I faced a complex issue that I couldn't resolve immediately, I would first communicate the situation to the customer, highlighting that I am working on it. I would engage with team members or escalate the issue to find a solution while conducting further research on my end. Keeping the customer updated throughout this process is key to maintaining their trust and satisfaction.

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Why are you interested in the Customer Success Engineer position at Protect AI?

I am particularly drawn to the Customer Success Engineer position at Protect AI due to my passion for AI and cybersecurity, combined with the opportunity to help customers feel secure in their technology choices. The company’s commitment to fostering innovation and the inclusive culture align with my values, making it an ideal environment for me to contribute my skills and grow professionally.

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Full-time, remote
DATE POSTED
January 10, 2025

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