What You'll Do
Provide expert-level technical assistance to customers across EMEA and other global regions, helping them overcome challenges with the Everyday AI Platform. You'll diagnose and resolve complex software issues using a range of communication methods, ensuring users get timely and effective solutions.
Partner closely with research and development teams to investigate bugs, replicate technical problems, and provide actionable insights from customer feedback to guide future product enhancements. Work hand-in-hand with customer-facing departments to escalate and redirect issues efficiently, maintaining continuity and clarity throughout the resolution process.
Build and maintain technical documentation, including knowledge base articles and internal forums, to strengthen long-term support capabilities. In a fast-moving environment, you may also take on additional responsibilities as needed, contributing across teams to meet evolving demands.
Requirements
- Minimum of three years in a technical, customer-facing role involving sophisticated and evolving software systems
- Proven experience with cloud infrastructure platforms such as AWS, Azure, or GCP
- Familiarity with containerization tools including Docker and orchestration via Kubernetes
- Strong problem-solving skills with a track record in log analysis, debugging, and error reproduction
- Proficiency in Unix-based operating systems and command-line environments
- Working knowledge of relational databases, data warehouses like Snowflake, and SQL querying
- Ability to read, write, and troubleshoot code in Python or R
- Team-oriented mindset with a commitment to collaboration and shared success
Preferred Qualifications
- Background in big data frameworks such as Hadoop or Apache Spark
- Experience configuring and troubleshooting authentication protocols including LDAP, SAML, and Kerberos
- Exposure to machine learning models or large language models (LLMs) in production environments
Benefits
This role operates in a fully remote capacity, offering flexibility and autonomy regardless of location. You'll work within a culture that values transparency, teamwork, and enterprise-grade control, supporting organizations in deploying AI consistently across diverse technology ecosystems.
