Customer Centric Engineer

Job Overview

This opportunity is offered through a partner company based in Ireland seeking a Customer Centric Engineer. The role centers on becoming a pivotal technical collaborator for enterprise clients by enabling them to leverage modern data and AI solutions effectively.

As a liaison among customers, engineering, and product teams, you will tackle intricate technical problems and enhance the customer experience. This role blends software engineering skills with data platform expertise and a passion for customer advocacy in a dynamic tech setting.

Key Responsibilities

• Deliver advanced technical support to enterprise clients through various communication channels, including ticketing systems, video calls, and collaboration platforms.
• Diagnose and resolve complex software configurations, integrations, networking, and system architecture issues within customer environments.
• Analyze system logs, replicate problems, debug code, and work closely with engineering teams to devise robust solutions.
• Assist clients in adopting and optimizing platform functionality while proactively identifying enhancement opportunities.
• Serve as a reliable technical advisor, guiding customers on industry best practices and operational problem-solving.
• Collaborate with Product, Engineering, and Customer Success units to escalate issues, refine product features, and influence the product development roadmap.
• Monitor customer health metrics and internally represent customer needs effectively.
• Develop and maintain comprehensive customer-facing documentation, including FAQs, troubleshooting manuals, training materials, and knowledgebase articles.
• Commit to ongoing technical development through certifications, training, and autonomous learning.

Candidate Profile

The preferred candidate possesses extensive software engineering or data engineering experience coupled with expertise in enterprise software support, along with strong communication and customer-centric skills.

• Minimum of 5 years in software or data engineering or complex enterprise application support roles.
• Proficient in Python programming with familiarity in frontend technologies such as React, TypeScript, and JavaScript.
• Experience with modern data ecosystems including data pipelines, ELT workflows, and enterprise data platforms.
• Skilled in SQL and platforms such as Snowflake, BigQuery, dbt, Airflow, Tableau, or Looker.
• Knowledgeable about cloud environments including AWS, Azure, or GCP and container technologies like Kubernetes and Docker.
• Comfortable with UNIX systems, command-line tools, and system administration.
• Strong troubleshooting skills for complex software problems in enterprise contexts.
• Excellent written and verbal communication skills to articulate technical concepts to diverse audiences.
• Customer-focused approach with the capability to build trusted partnerships and work collaboratively.
• Ability to excel in a fast-paced startup culture with adaptability and proactivity.
• Holds a Bachelor's degree in Computer Science or equivalent practical experience.

Benefits & Compensation

• Competitive salary aligned with expertise and impact.
• Opportunity for equity participation in company growth.
• Fully remote working with flexible environment support.
• Monthly stipend toward coworking space expenses.
• Comprehensive health benefits including medical, dental, and vision with employer contributions.
• Access to Flexible Spending Accounts (FSA) and Dependent Care FSAs.
• Inclusive benefits supporting fertility and family formation.
• Unlimited paid vacation and flexible sick leave policies.
• Continuous learning prospects, professional growth, and career advancement.
• Chance to address significant AI and data infrastructure challenges at an enterprise scale.

Additional Information

The application process involves an AI-driven matching system that expedites fair and objective candidate screening, followed by selection and further steps managed internally by the hiring partner. Privacy is respected in accordance with GDPR and data protection regulations, and AI assists only as a tool without replacing human judgment in hiring decisions.