Customer Engineer

Remote from: USA
Annual salary: Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department: Customer Success
Employment type: Full Time,
Job posted: 23 Jul 2026
Apply before: 23 Aug 2026
Views / Applies: 30 / 1

Real-Time Intelligence for Contact Centers

Actively Hiring

AI Summary

Cresta is hiring a Customer Engineer to deliver AI-driven solutions for enterprise contact centers. The role involves integrating Cresta's AI platform with customer systems using Go, Python, and JavaScript, while collaborating with Solution Architects and Customer Success teams. The ideal candidate has experience with contact center technologies like AWS Connect or Genesys, strong software engineering skills, and the ability to manage multiple projects. This is a high-impact role in a fast-growing AI startup, offering equity and benefits. Compensation is negotiable based on experience and location, with a focus on US and Canada.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight The role requires a blend of technical skills (Go, Python, JavaScript, AWS) and domain expertise in contact center technologies, plus strong customer-facing skills. It is challenging but not extremely specialized, hence a 3.

Salary Analysis

AI Insight The job listing does not specify salary, but for a Customer Engineer role in AI/contact center, the market range in the US is typically $90k-$180k, with a median around $130k. The actual offer will depend on experience and location.

Core Skills Required

Customber Engineer AI Solutions Contact Center Go Python JavaScript AWS API Integration Customer Success SDK Development Genesys Five9

Cover Letter Sample

Dear Hiring Manager,

I am writing to express my interest in the Customer Engineer position at Cresta. With a strong background in software engineering and experience integrating AI solutions into contact center environments, I am excited about the opportunity to help Cresta deliver transformative customer experiences. My expertise in Go, Python, and JavaScript, combined with hands-on work with AWS and contact center platforms like Genesys, aligns well with the responsibilities outlined. I thrive in fast-paced, customer-facing roles and am skilled at removing technical barriers to drive value. I look forward to contributing to Cresta's mission of redefining business interactions through AI. Thank you for your consideration.

Sample Interview Questions

Can you describe your experience with integrating AI or machine learning solutions into a contact center environment?

In my previous role, I worked with a cloud contact center platform to integrate a real-time agent assistance AI. I used REST APIs to connect the AI model's output to the agent desktop, enabling live suggestions during calls. This required coordinating with the AI team and understanding the telephony infrastructure.

How would you troubleshoot a customer issue where the integration you built is failing to load data from their CRM?

First, I'd check the logs to identify where the failure occurs—whether it's a network issue, authentication problem, or data format mismatch. I'd verify API endpoints and credentials, then test with a simple request. If the issue persists, I'd collaborate with the customer's IT team to inspect their system and ensure the integration aligns with their expected data schema.

Describe a time you had to manage multiple projects simultaneously. How did you prioritize?

I use a structured approach: I list all tasks, assess their impact and urgency, and align with stakeholders on priorities. For example, at my last job, I managed three customer integrations concurrently. I set up weekly check-ins with each customer, used a project management tool to track progress, and delegated tasks when possible. This ensured all deadlines were met without sacrificing quality.

What experience do you have with Cresta's tech stack: Go, Python, and JavaScript?

I have used Go for building high-performance microservices in a cloud environment. Python is my primary language for scripting and data analysis, and I've developed web applications using JavaScript (Node.js and React). In my current role, I built a monitoring dashboard using JavaScript and a backend service in Go for data ingestion.

How do you handle a situation where a customer's technical requirements are unclear or constantly changing?

I believe in proactive communication. I would schedule a discovery session with the customer to clarify goals and document requirements. For changes, I establish a change management process and ensure both parties agree on scope and timelines. I also stay flexible and iterate quickly, using MVPs to validate assumptions early.

Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day.

Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu, founded and led Google’s Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.

Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta.

About The Role:

As a Customer Engineer at Cresta, you’ll play a key role in delivering our cutting-edge AI solutions to enterprise contact centers. You’ll leverage your expertise in CX, call center infrastructure, chat platforms, AWS, and automation while collaborating closely with Solution Architects to ensure seamless integrations with customer systems.

This role requires strong software engineering skills, domain expertise, and the ability to manage multiple projects simultaneously. You’ll work closely with our Customer Success team, removing technical barriers and driving value for our customers through real-time coaching and agent efficiency tools. You’ll also contribute to shaping our land-and-expand sales strategy as we continue to grow rapidly.

Join our dynamic team of AI and ML experts and help transform the future of work with Cresta’s innovative solutions.

Responsibilities:

Execute on integration design and project plan created by IMs, SAs and other stakeholders
Design, build and deploy applications using Cresta SDKs, libraries and APIs
These applications will be integrated with contact center chat or phone platforms.
Participate in testing, troubleshooting and maintenance of Cresta products.
Hands on experience in Go, Python and Javascript
Partnering with the Customer Success Manager (CSM) to triage and resolve technical issues, while also facilitating collaboration with the engineering team to ensure successful technical outcomes.

Qualifications we value:

Operates with the enthusiasm of a salesperson, the confidence of a samurai wrestler and the precise delivery of a surgeon
Experience in Contact Center and Customer Experience technologies such as AWS Connect, Genesys, Five9, etc. is highly desirable.
Ability to use APIs and SDKs to build value added solutions
Experience with AWS and Git
Think big, deliver simple
Able to forge strong external relationships with external technical stakeholders and in general able to take a consultative and strategic approach to solving customer problems.

Conclusion:

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details.

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.com.

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