Customer Success Engineer

Posted 17 Days Ago
Hiring Remotely in USA
Remote
140K-220K Annually
Mid level
Artificial Intelligence • Machine Learning • Software • Cybersecurity
The Role
The Customer Support Engineer is responsible for technical guidance and issue resolution, collaborating with customers post-sales, and maintaining documentation for support.
Summary Generated by Built In

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

Top Skills

AI
AWS
Azure
Cybersecurity
GCP
Kubernetes
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Seattle, Washington
87 Employees
On-site Workplace
Year Founded: 2022

What We Do

Protect AI is a cybersecurity company focused on AI & ML systems. Through the delivery of innovative security products and thought leadership in MLSecOps, we help our customers build a safer AI powered world.

Protect AI is based in Seattle, Washington, with offices in Dallas, Texas, and Raleigh, North Carolina. The company is directed by proven leaders in AI and ML with funding from successful venture partners in cybersecurity and enterprise software.

Similar Jobs

ReversingLabs Logo ReversingLabs

Senior Customer Success Engineer

Information Technology • Software • Cybersecurity
Remote
United States
300 Employees
174K-184K Annually

GitLab Logo GitLab

Manager, Customer Success Engineer (CSE)

Cloud • Security • Software • Cybersecurity • Automation
Easy Apply
Remote
3 Locations
2350 Employees
107K-230K Annually

Attentive Logo Attentive

Senior Software Engineer, Customer Success

Artificial Intelligence • Marketing Tech • Mobile • Software
Remote
United States
1000 Employees
165K-200K Annually

Freshworks Logo Freshworks

Senior Customer Success Engineer (Device42)

Artificial Intelligence • Cloud • Enterprise Web • Software • Business Intelligence
Remote
Hybrid
Boston, MA, USA
5500 Employees
127K-159K Annually

Similar Companies Hiring

True Anomaly Thumbnail
Software • Machine Learning • Hardware • Defense • Artificial Intelligence • Aerospace
Colorado Springs, CO
131 Employees
Caliola Engineering Thumbnail
Software • Machine Learning • Hardware • Defense • Data Privacy • App development • Aerospace
Colorado Springs, CO
53 Employees
Red 6 Thumbnail
Virtual Reality • Software • Hardware • Defense • Aerospace
Orlando, Florida
113 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account