עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
GigaSpaces is looking for a Technical Customer Success professional with strong analytical skills, a passion for working with customers, and the agility to thrive in a fast-paced, cross-functional environment. This customer-facing role blends deep data exploration and business logic analysis with onboarding leadership and project coordination. Your work will help ensure customers achieve success while equipping internal teams with clear, actionable insights. You’ll partner closely with teams across the organization, balancing multiple priorities and translating complex datasets into meaningful outcomes.
About us: For over two decades, GigaSpaces has mastered the art of real-time data. We’ve built platforms that power the world’s most demanding systems, shaping how organizations grow their business with data-driven services. We have pioneered technologies that optimize data-driven services working with global organizations including American Airlines, Morgan Stanley, CSX, Goldman Sachs, Société Générale, Credit Agricole and more. As pioneers in data-tech, we are building on our DNA in real-time operational data to deliver cutting-edge GenAI solutions that empower businesses to unlock the full potential of their structured data and transform how they interact with information.
This position is full time, hybrid and located in Herzeliya.
Key Responsibilities:
- Lead customer onboarding – understand business needs, guide data integration, and support customer training and adoption.
- Manage multiple projects simultaneously, coordinating with cross-functional stakeholders to ensure smooth onboarding and issue resolution.
- Analyse raw customer data to uncover underlying business logic and ensure accurate integration with our platform.
- Identify data gaps, inconsistencies, or edge cases and proactively propose solutions.
- Perform data analysis to evaluate customer usage, product adoption, and system performance.
- Communicate findings effectively to both technical and non-technical audiences through compelling data stories.
- Define and refine success metrics in areas lacking benchmarks and continuously improve reporting processes.
- Coordinate onboarding timelines, deliverables, and dependencies across multiple teams.
- 2+ years of experience as a Data Analyst, Business Analyst, or a similar data-driven technical role - MUST
- 2+ years of experience as a Technical Customer Success, Technical Account Manager, or a similar customer-facing role.
- Advanced SQL skills and experience working with large datasets.
- Ability to analyse and reverse-engineer business logic from unfamiliar datasets.
- Excellent problem-solving skills and a structured, investigative mindset.
- Experience with data modelling, metric design.
- Experience with BI tools and semantic layer design.
- Proven ability to manage multiple onboarding projects and priorities in a fast-paced environment.
- Experience working cross-functionally with internal teams such as Product,R&D, QA, and Sales.
- Strong project management and communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
- Highly self-driven, with the ability to learn quickly and operate independently in dynamic environments.
- Comfortable operating in ambiguous environments and helping define structure where none yet exists.
- Customer-first mindset with a high level of ownership and accountability.
- Bonus: Familiarity with GenAI, RAG frameworks, or natural language query tools.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
שאלות ותשובות עבור משרת Technical Customer Success Manager
התפקיד כולל הובלת תהליכי אונבורדינג ללקוחות, ניהול פרויקטים מרובים, ניתוח נתוני לקוחות גולמיים כדי להבין לוגיקה עסקית, זיהוי פערים בנתונים והצעת פתרונות, ביצוע ניתוח נתונים להערכת שימוש ואימוץ מוצרים, ותיאום לוחות זמנים ואספקת פרויקטים בין צוותים שונים.
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