Customer Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Customer Engineer based in the United States.

This role sits at the intersection of deep technical expertise and customer success, supporting some of the most innovative AI-native and cloud-first companies. You will act as the primary technical advisor for high-value accounts, ensuring customers are successful from onboarding through production scale. The position blends architecture guidance, performance optimization, and proactive account management in fast-moving environments where reliability and speed are critical. You will work closely with engineering leaders, founders, and infrastructure teams to design scalable solutions for complex workloads. Beyond troubleshooting, you will help customers unlock new capabilities and expand their usage of the platform. This is a high-impact, customer-facing role where technical depth directly drives revenue growth and long-term customer success.

Accountabilities:

Own the technical relationship for a portfolio of strategic customers, ensuring successful onboarding, stable production deployments, and continuous platform adoption.

Lead architecture reviews, onboarding sessions, and production readiness planning for new and existing customers
Monitor customer health signals such as performance, usage patterns, and reliability metrics, proactively addressing risks
Conduct technical check-ins and executive business reviews translating system usage into actionable business insights
Support customers in designing and optimizing AI-native and cloud applications, including scaling, integrations, and performance tuning
Identify expansion opportunities in collaboration with sales teams, aligning technical recommendations with commercial growth
Act as escalation point for complex technical issues, coordinating with engineering and support to resolve critical incidents

Requirements:

You bring strong post-sales technical experience supporting cloud infrastructure or developer platforms, with the ability to guide customers through complex architecture decisions.

8+ years in Customer Engineering, Solutions Architecture, Technical Account Management, or similar post-sales technical roles
Strong understanding of cloud systems including web services, databases, containers, networking, and distributed architectures
Experience supporting AI-native or data-intensive applications, including familiarity with LLM APIs, vector databases, and modern AI stacks
Proven ability to engage with technical and executive stakeholders, translating complex systems into clear guidance and outcomes
Commercial mindset with experience identifying expansion opportunities and contributing to revenue growth metrics such as NRR
Hands-on troubleshooting and problem-solving skills in high-scale production environments

Benefits:

Competitive compensation package including base salary, equity, and performance-based incentives
4 weeks of paid vacation and flexible time off
14 weeks of fully paid parental leave for all parents
Comprehensive health coverage including medical, dental, and vision (fully or near fully employer-paid)
Retirement benefits including 401(k) plans
Monthly stipends for wellness, mental health, hobbies, phone, and internet
Home office support and commuter benefits where applicable
Continuous learning and professional development support

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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Benefits:

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