Application Support Engineer

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, & co-founder, Tim Shi, an early member of Open AI.

We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world.

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

We are seeking a highly motivated and technically proficient Application Support Engineer to join our growing Customer Success team. This role is ideal for individuals who enjoy solving complex technical challenges, assisting customers, and serving as a crucial link between our customers and product development. You will be instrumental in ensuring a smooth and successful customer experience by transforming complex issues into clear, actionable solutions.

• →Technical Issue Resolution: Investigate, diagnose, and resolve intricate technical issues related to API integrations, databases, servers, microservice performance, web hosting, telephony and network technologies, and containerized applications.
• →Customer Advocacy: Serve as the primary technical point of contact for customer inquiries, providing clear, concise, and empathetic communication via email and our support portal.
• →Collaboration & Escalation: Partner closely with Engineering, Product, and Sales teams to escalate bugs, feature requests, and critical incidents, ensuring timely resolution and feedback.
• →Knowledge Management: Create and maintain comprehensive documentation, FAQs, and knowledge base articles to empower both customers and internal teams.
• →Issue Reproduction & Testing: Replicate customer environments and issues to identify root causes and verify solutions.
• →Product Expertise: Develop deep product knowledge, understanding architecture, functionality, and common use cases.
• →Process Improvement: Identify recurring issues and contribute to process enhancements that improve the customer support experience and product quality.
• →On-Call Support: Participate in a rotational on-call schedule for urgent issues outside regular business hours.

• 2-4 years of experience in a technical support, helpdesk, or customer-facing engineering role.
• Strong problem-solving and analytical skills, with the ability to deconstruct complex issues.
• Excellent written and verbal communication skills, capable of translating technical details for both technical and non-technical audiences.
• Proficiency in:
• Web hosting technologies.
• APIs (automation, collaboration, and data extraction/changes through HTTP methods).
• Application log analysis.
• Experience with support ticketing systems (e.g., Zendesk, Linear, JIRA).
• A customer-centric mindset with a genuine desire to deliver excellent service.
• Ability to work independently and collaboratively in a fast-paced environment.

• Experience managing or integrating SaaS applications or CCaaS platforms (e.g., Avaya, Five9, Genesys) and telephony infrastructure.
• Experience with cloud-based hyperscaler solutions (e.g., AWS S3/RDS/EKS for file repositories and databases).
• Familiarity with Kubernetes for containerized applications.
• Basic scripting skills (e.g., Python, PowerShell, Bash) for automation or data analysis.
• Experience with logging and monitoring tools (e.g., Datadog, Grafana, Groundcover).
• Fluency in additional languages.
• A degree in Computer Science, Engineering, or a related technical field.
• Telephony signaling protocols for VOIP (SIP/SIPrec, H.323) and media control protocols (RTP).
• Network architecture and components.
• Server OS and hardware troubleshooting.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai