Join Our Team

Location: Ultralag, Heredia (Hybrid)
Experience: 3+ years
Education: Associate’s degree or equivalent preferred
No. of Openings: 1+

Summary:

• The Asset Recovery Analyst is responsible for supporting asset recovery operations by ensuring accurate reconciliation between internal systems and third-party logistics partners.
• This role plays a key part in maintaining data integrity across the service logistics network, managing return transactions, and supporting billing and recovery processes.
• The analyst will work closely with internal teams and external partners to monitor return dispatches, resolve transaction issues, and provide reporting insights to drive operational improvements.
• This is a highly detail-oriented role requiring strong analytical skills and the ability to manage tasks independently in a fast-paced environment.

Core Responsibilities:

• Monitor return dispatches and ensure alignment between ERP systems (e.g., SAP) and third-party return transactions
• Identify failed or incorrect transactions, investigate root causes, and implement corrections
• Track daily and weekly defective return locations (e.g., UPS) to identify processing issues and resolve open transactions
• Maintain a consolidated log of defective transactions, including root cause and corrective actions
• Provide weekly reconciliation reports and highlight areas requiring remediation to leadership teams
• Support monthly and quarterly close processes by addressing transaction discrepancies
• Identify activities supporting billing and payment processes within asset recovery
• Collaborate with third-party partners and internal IT teams to ensure system alignment
• Respond to customer and partner inquiries related to return labels and instructions
• Participate in ongoing projects, meetings, and provide regular updates on operational activities

Required Skills:

• 3+ years of experience in data analysis within a service parts, logistics, or supply chain environment
• Experience working with ERP systems such as SAP or Oracle
• Strong analytical and problem-solving skills
• Advanced Excel/Google Sheets skills (VLOOKUP, Pivot Tables, Concatenate)
• High attention to detail and accuracy
• Strong written and verbal communication skills
• Ability to work independently in a remote environment
• Proficiency in Microsoft Office or Google Workspace

Desired Skills:

• Basic understanding of global logistics and trade management
• Experience with service planning or logistics systems (e.g., UPS, Baxter)
• Experience supporting billing and asset recovery processes
• Ability to work in global or cross-functional environments
• Additional language skills beyond English

Location: Ultralag
Education: Bachelor’s Degree preferred
Experience: 2–4+ years in operations / fulfillment / supply chain / order management
No of Openings: 1+

Summary

• The Fulfillment Operations Analyst plays a critical role in ensuring a seamless order-to-cash process by managing fulfillment operations and coordinating across multiple teams such as Sales, Supply Chain, Finance, and Logistics.
• This role focuses on executing high-volume transactional workflows, maintaining data accuracy, resolving order issues, and supporting operational improvements to ensure timely and accurate delivery of customer orders.

Roles and Responsibilities

• Manage end-to-end fulfillment execution within ERP systems (e.g., NetSuite)
• Process and validate orders, including CMPOs, manual fulfillments, and shipment coordination
• Handle high-volume transactional workflows with strong accuracy and attention to detail
• Monitor and manage expedite requests and operational escalations
• Act as point of contact for order-related inquiries and provide timely responses
• Collaborate with cross-functional teams (Sales, Finance, Supply Chain, Logistics) to resolve order issues
• Track backlog and monitor order health to ensure on-time delivery
• Ensure data integrity across pricing, configurations, BOMs, and system records
• Identify and mitigate risks that could impact fulfillment timelines
• Support process improvements and contribute to operational efficiency initiatives
• Assist with reporting and documentation using tools like Google Sheets and Tableau

Required Skills

• Experience working with ERP systems (e.g., NetSuite)
• Familiarity with CRM tools such as Salesforce
• Strong analytical and problem-solving skills
• High attention to detail and accuracy
• Ability to manage high-volume workloads in fast-paced environments
• Strong communication and cross-functional collaboration skills
• Proficiency in Google Workspace (Sheets, Docs, Slides)
• Ability to manage multiple priorities and meet deadlines

Desired Skills

• Experience with Tableau, Asana, or Smartsheet
• Knowledge of B2B EDI transactions
• Background in supply chain, logistics, or order management
• Experience with process improvement initiatives
• Ability to work in global or cross-regional environments

Location: Hybrid, Ultralag, Heredia
Education: Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience)
Experience: 2+ years in data engineering, analytics engineering, or similar roles
No of Openings: 1

Summary:

• The Data Engineer – Customer Success Analytics is responsible for building and maintaining the data infrastructure that supports Customer Success operations and decision-making.
• This role focuses on developing scalable data pipelines, improving data models, and ensuring high-quality, reliable datasets for reporting and analytics.
• The ideal candidate is hands-on, detail-oriented, and passionate about transforming complex data into actionable insights that drive customer outcomes, operational efficiency, and future automation initiatives.

Roles and Responsibilities:

• Design, build, and maintain ETL/ELT pipelines from systems such as Salesforce and other operational platforms into data warehouses (e.g., Snowflake).
• Audit, normalize, and restructure existing data models, tables, and views to improve performance, consistency, and usability.
• Develop clean, scalable, and analytics-ready data models to support dashboards, reporting, and operational workflows.
• Translate business requirements (e.g., ARR, renewals, churn, consumption, customer health) into structured and well-documented data definitions.
• Investigate and resolve data discrepancies by identifying root causes and implementing long-term fixes.
• Optimize query performance, data processing, and overall data warehouse efficiency.
• Implement data validation frameworks, monitoring processes, and quality controls to ensure data accuracy and reliability.
• Document data lineage, transformations, and definitions to support governance and transparency.
• Collaborate with Data Analysts, Customer Success teams, and Operations to build scalable and reusable datasets.
• Prepare structured datasets to support automation initiatives, reporting improvements, and future AI-driven use cases.

Required Skills:

• 2+ years of experience working with data in roles such as Data Engineer, Data Analyst, Analytics Engineer, or similar.
• Strong SQL skills and experience with ETL/ELT processes and data modeling.
• Experience with at least one programming language (e.g., Python, Scala, C#, or similar).
• Hands-on experience with data warehouse technologies (e.g., Snowflake, BigQuery, Spark).
• Familiarity with data build tools such as DBT.
• Experience with version control tools (Git/GitHub) and development workflows.
• Strong understanding of data modeling principles (normalization, dimensional modeling, schema design).
• Proven ability to identify and improve data pipeline and reporting performance.
• Strong analytical and problem-solving skills, particularly in resolving data inconsistencies.
• Ability to work cross-functionally and communicate technical concepts clearly.
• English C1

Desired Skills:

• Experience working with Salesforce data models (Accounts, Opportunities, Contracts, Subscriptions).
• Familiarity with tools such as Tableau, Gainsight, or similar analytics platforms.
• Experience supporting SaaS or subscription-based business models (ARR, renewals, churn, consumption).
• Exposure to automation, predictive analytics, or AI-related data preparation.
• Experience with data governance, access control, and documentation standards.
• Knowledge of REST APIs and server-side technologies (e.g., Node.js, TypeScript, Python).

Job title: Technical Support Executive – Voice Process
Location: Ambattur, Chennai
Experience: Minimum 1 year in Technical Support Voice.
Education:  Any Bachelor’s degree

Roles and Responsibilities:

• Assisting the USA customers through Inbound calls
• Must have experience into handling international calls.

Required Skills & Desired Skills :

• Excellent Communication Skills both in Verbal and written communication.
• Must be flexible to work in rotational night shift. 
• Should have basic technical knowledge on, Router, modem , Ip Address, and basics of troubleshooting steps.

Perks and Benefits:

• Doorstep cab service for pick-up and drop-off
• 15-day relocation accommodation support
• Provident fund for financial security
• Comprehensive medical insurance