Customer Success Engineer

Customer Success Engineer

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Perplexity AI

At a Glance

  • Tasks: Solve technical challenges and enhance user experience for our AI-powered platform.
  • Company: Join Perplexity AI, a leader in innovative AI technology.
  • Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
  • Other info: Collaborative team culture focused on continuous learning and improvement.
  • Why this job: Be a key player in transforming customer experiences with cutting-edge AI solutions.
  • Qualifications: 7+ years in software engineering, strong Python/NodeJS skills, and cloud knowledge.

The predicted salary is between 60000 - 80000 £ per year.

Requirements

  • 7+ years of experience in software engineering or similar roles, with a focus on application development, tooling and automation
  • Excellent proficiency in Python/NodeJS and developing scalable applications
  • Good knowledge of a Cloud Service Provider (e.g. AWS) platform
  • Hands-on experience in using Agentic Coding (Claude Code, Codex etc.)
  • Bachelor’s degree in Computer Science or a related field
  • Proven ability to identify technical pain points in both our solutions and our customers’ implementations (Desirable)
  • Strong track record of building relationships with customers and cross-functional teams to drive performance improvements (Desirable)
  • Humble attitude, eagerness to help others, and willingness to acquire new knowledge to support team and customer success (Desirable)
  • Ability to operate with high efficiency, adeptly switch between contexts, work on multiple projects simultaneously, and prioritise effectively (Desirable)
  • Experience building prototypes or applications using AI-powered APIs, with a deep understanding of the AI and search technology landscape (Desirable)
  • Preference for short, deep-dive projects that involve chasing down problems and understanding diverse use cases

What the job involves

The Support team at Perplexity AI is the frontline of our user experience, dedicated to ensuring that our AI-powered search and question-answering platform delivers exceptional value to our diverse user base. We work tirelessly to understand user needs, resolve issues, and gather insights that drive product improvements. Our team collaborates closely with Product, Technical staff, and other departments to continuously enhance the user experience and maintain the high standards of our innovative AI technology.

We are seeking a talented Customer Success Engineer to join our team and collaborate directly with our strategic enterprise accounts. In this role, you will be at the forefront of solving challenging technical problems faced by our customers. As a key member of our technical troubleshooting team, you will provide expert guidance to both our customers and internal teams on complex issues within our environment. Your contributions will be vital in building knowledge within the team and driving strategic initiatives for organisational and process improvements.

Become one of the foremost technical experts for our API and product offerings at Perplexity AI. Serve as the dedicated technical resource and advocate for our most important API and product customers, providing in-depth troubleshooting assistance and educating them on optimal use of our platforms. Partner with the Enterprise, Mobile, and API teams to resolve issues, engaging leaders internally or with customers and coordinating resources across multiple teams as needed. Translate learnings from customer issues into scalable solutions, working with Engineering, Customer Experience and Go-To-Market teams to implement improvements and automations. Build strong relationships with customer leaders and operators to ensure the success of their applications.

Customer Success Engineer employer: Perplexity AI

At Perplexity AI, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. As a Customer Success Engineer, you will not only tackle complex technical challenges but also have the opportunity to grow your skills in a cutting-edge environment focused on AI technology. Our commitment to employee development, coupled with a supportive team atmosphere, makes us an exceptional employer for those seeking meaningful and rewarding careers.

Perplexity AI

Contact Details:

Perplexity AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Customer Success Engineer

Tip Number 1

Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Customer Success Engineer role.

Tip Number 2

Prepare for those interviews by brushing up on your technical skills and understanding the company’s products inside out. We recommend doing mock interviews with friends or using online resources to practice common questions related to Python, NodeJS, and cloud services.

Tip Number 3

Showcase your problem-solving skills! During interviews, be ready to discuss specific challenges you've faced in previous roles and how you tackled them. We want to see your thought process and how you can apply it to help our customers succeed.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team at Perplexity AI.

We think you need these skills to ace Customer Success Engineer

Python
NodeJS
Application Development
Tooling and Automation
Cloud Service Provider (AWS)
Agentic Coding (Claude Code, Codex)
Technical Problem Identification

Some tips for your application 🫡

Show Off Your Experience:Make sure to highlight your 7+ years of experience in software engineering or similar roles. We want to see how your background in application development, tooling, and automation makes you a perfect fit for the Customer Success Engineer role.

Get Technical:Don’t hold back on your proficiency in Python/NodeJS! We’re looking for someone who can develop scalable applications, so share specific examples of your work with these technologies in your application.

Demonstrate Your Problem-Solving Skills:We love candidates who can identify technical pain points. In your application, give us a sneak peek into how you've tackled complex issues in the past and how you’ve helped customers succeed.

Be Yourself:We value a humble attitude and eagerness to learn. Let your personality shine through in your application! Show us how you build relationships and collaborate with others to drive performance improvements.

How to prepare for a job interview at Perplexity AI

Know Your Tech Inside Out

Make sure you brush up on your Python and NodeJS skills before the interview. Be ready to discuss your experience with scalable applications and any projects you've worked on that involved cloud services like AWS. They’ll want to see how you can apply your technical knowledge to real-world problems.

Showcase Your Problem-Solving Skills

Prepare examples of how you've identified and resolved technical pain points in previous roles. Think about specific challenges you faced and how you approached them. This will demonstrate your ability to troubleshoot effectively, which is key for a Customer Success Engineer.

Build Relationships, Even Virtually

Since this role involves collaborating with customers and cross-functional teams, be ready to talk about how you've built strong relationships in the past. Share stories that highlight your humble attitude and eagerness to help others, as these traits are highly valued.

Prioritise and Manage Your Time

They'll likely ask how you handle multiple projects at once. Prepare to discuss your strategies for prioritising tasks and managing your time efficiently. Use examples from your experience to illustrate how you’ve successfully juggled various responsibilities while maintaining high performance.