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Reltio

B2B data platform with velocity packs

Customer Engineer

Customer SupportConfirmed live in the last 24 hours
Full-timeUnited States$77k - $162kRemote

About the Job

Requirements

  • Bachelor's degree in Computer Science or an equivalent field of study.
  • At least 3 years of experience with on-premise or cloud data unification solutions.
  • At least 3 years of experience supporting enterprise SaaS products in a customer-facing role.
  • At least 3 years of experience with public cloud platforms, including AWS, Google Cloud Platform, or Azure, and their services.
  • At least 3 years of experience with REST APIs and integration tools.
  • At least 3 years of prior experience as a software engineer, support engineer, or solution engineer supporting enterprise-focused applications.
  • Experience in data management, master data management, analytics, and big data platforms and technologies.
  • Hands-on programming experience, such as Python or Java.
  • Experience with object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis.
  • Experience with RESTful API development and debugging, and Postman.
  • Experience with web UI development using JavaScript frameworks.
  • Working knowledge of scalable and distributed data systems using distributed file systems, Java, and cloud technology.

Responsibilities

  • Handle complex customer technical problems involving technical configuration, workflow compilation, lambda code debugging, integration, and JSON.
  • Resolve customer technical questions, tasks, and problems through research, reproduction, and troubleshooting in accordance with organizational goals.
  • Develop alternate solutions and use independent judgment to develop methods, techniques, and evaluation criteria that lead to prompt issue resolution.
  • Provide customer engineering assistance that achieves high customer satisfaction.
  • Serve as a subject matter expert in multiple product features to support, enhance, and fix solutions for a rapidly growing business at scale.
  • Meet with clients to analyze, troubleshoot, and diagnose problems.
  • Participate in rapid-response teams with Engineering and DevOps, representing customers in communications and feedback.
  • Monitor tenant-level alerting tools and collaborate on communications to prevent escalations.
  • Provide product and service enhancement feedback to Engineering, Product Management, Sales, and Marketing to improve customer success and product adoption.
  • Handle daily tasks with minimal guidance and take on new initiatives under high-level direction.
  • Keep current on product functionality, dependencies, underlying architecture, and operational impact.
  • Participate in a 24/7 on-call rotation and provide after-hours support for critical issues.
  • Share and develop best practices with team members to improve technical-support quality and efficiency, and contribute to the knowledge base.
  • Communicate proactively to prevent escalations and negative customer satisfaction.
  • Write technical documents about common issues and solutions to build the knowledge base, and participate in communities.
  • Support weekend shifts on a rotational or as-needed basis when requested.
  • Lead support initiatives to improve the organization and team.
  • Perform other duties and responsibilities as assigned.

Desired Qualifications

  • A master's degree in Computer Science or equivalent experience is preferred.
  • Experience with NoSQL databases such as Cassandra, Elasticsearch, or DynamoDB, and distributed indexes, is a plus.

About the Company

Reltio

B2B data platform with velocity packs

Reltio provides a data management platform for businesses to organize and harmonize large data sets. It uses velocity packs—prebuilt components and industry-specific data models—that can be customized to fit a company’s needs, enabling data cleansing and interoperability to deliver business value within 90 days. The product targets B2B customers across technology, finance, healthcare, and retail, and is complemented by a network of service partners (systems integrators, technology vendors, data providers, consultants) that help implement the platform. Unlike some competitors that require building data models from scratch, Reltio emphasizes rapid deployment with ready-to-use packs and an ecosystem of partners to accelerate implementation. The company's goal is to help organizations manage data efficiently and gain a competitive advantage by turning complex data into actionable insights quickly.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$237M
Headquarters
Palo Alto, CA
Founded
2011

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