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Reltio

B2B data platform with velocity packs

Associate Customer Engineer

Customer SupportUpdated on Nov 10
Full-time$61k - $114kIn-person

About the Job

Requirements

  • A Bachelor's degree in Computer Science or equivalent field of study is required.
  • Programming experience in Python and Java, with a solid understanding of cloud technologies.
  • Completion of two or more internships during undergraduate or graduate studies.
  • Motivation to learn and adopt new technologies, demonstrated by having taken certifications.
  • Troubleshooting and debugging skills demonstrated through investigating problems and identifying solutions or workarounds.
  • Problem-solving and analytical skills.

Responsibilities

  • Handle highly complex customer technical problems involving technical configuration, workflow compilation, lambda code debugging, integration, and JSON knowledge, primarily for concierge and premier success-plan customers.
  • Resolve customer technical issues through research, reproduction, and troubleshooting.
  • Develop alternate solutions and exercise independent judgment in selecting methods, techniques, and evaluation criteria to promptly resolve issues.
  • Provide high-quality customer engineering assistance that results in 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.
  • Attend client meetings to analyze, troubleshoot, and diagnose problems.
  • Resolve customer issues and ensure appropriate ticket investigation and resolution quality.
  • Share and develop best practices with team members to enhance technical-support quality and efficiency, and contribute to the knowledge base.
  • Participate in rapid-response teams with Engineering and DevOps, representing the customer in communications and feedback.
  • Actively monitor tenant-level alerting tools and participate in collaborative communications to prevent escalations.
  • Provide input on product- and service-related enhancement requests to Engineering, Product Management, Sales, and Marketing to improve customers' successful use of products and drive adoption.
  • Keep up to date 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.
  • Enhance technical-support quality and efficiency and contribute to the knowledge base.
  • Communicate proactively to avoid escalations and negative customer satisfaction.
  • Author technical documents on common issues and solutions to build the knowledge base, and participate in communities.
  • Support weekend shifts on a rotational or as-needed basis if requested.
  • 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.
  • Knowledge of object-oriented programming and design, data structures, and algorithms.
  • Experience in data management, master data management, analytics, and big-data platforms and technologies.

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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