דרושים » שירות לקוחות » Customer Success Manager

We're looking for a Customer Success Manager who is passionate about driving customer outcomes, building trust-based relationships, and contributing to meaningful growth in a fast-paced and collaborative environment.

In this role, you will support enterprise clients from the Go Live phase, managing user communication, training, customized content, webinars, and operational efficiency. You will identify trends and monitor usage, engagement, performance data, and the success of transactions to uncover opportunities and mitigate risks.

You will provide personalized recommendations to enhance platform utilization and client satisfaction, and participate in regular business review meetings. Collaborating with Support, Operations, Product, and Sales teams, you will resolve issues and ensure clear communication. Additionally, you will analyze support data, propose improvements, and work with the RVPs of Customer Success and Sales to grow accounts.

This role reports to our Customer Success Team Manager.

As a Customer Operations AI Transformation Lead, you will drive the strategy, execution, and adoption of AI initiatives across the Customer Operations organization. You will work closely with senior leadership and cross-functional stakeholders to identify high-impact opportunities for AI, translate them into scalable programs, and ensure measurable business outcomes.
In this role, you will lead multiple AI transformation projects-spanning processes, tooling, automation, analytics, and customer-facing operational workflows-while establishing governance, best practices, and success metrics. You will ensure alignment across teams, mitigate risks, and build organizational readiness for change.
What youll do:
AI Transformation Strategy & Planning
Define and articulate the AI transformation roadmap for Customer Operations aligned with organizational goals.
Identify and prioritize AI use cases with clear ROI (efficiency, quality, customer experience).
Build detailed execution plans including timelines, milestones, dependencies, and resources.
Program Oversight & Execution
Lead the delivery of multiple AI initiatives (automation, copilots, workflow optimization, knowledge enablement).
Monitor progress, manage dependencies, and ensure adherence to quality and delivery standards.
Track impact using KPIs (e.g., cycle time reduction, cost-to-serve, deflection, quality improvements).
Manage resource allocation across projects and ensure operatinal continuity during change.
Stakeholder Management & Change Enablement
Serve as the primary point of contact for senior management on AI transformation progress.
Align cross-functional stakeholders (Ops, CS, Product, R&D, Data, IT, Security).
Drive adoption by building enablement plans, training, communications, and feedback loops.
Governance, Standards & Risk Management
Establish best practices for AI implementation in Customer Operations (process, tooling, documentation).
Define governance for AI usage (quality control, privacy, security, compliance, escalation flows).
Identify risks early and develop mitigation and contingency plans.
Reporting & Documentation
Prepare and present regular program updates including milestones, outcomes, risks, and KPIs.
Maintain structured documentation: business cases, implementation plans, adoption plans, lessons learned.

Were hiring a Customer Success Engineer to work directly with customers to onboard, implement, troubleshoot, and optimize the platform- across Linux, Kubernetes, IAM, and secure access workflows. Youll be the primary technical contact: diagnosing issues, guiding best practices, collaborating with Product/Engineering on escalations, and turning learnings into repeatable runbooks that keep deployments stable and effective.

Responsibilities:
Deliver a smooth onboarding experience and drive adoption/expansion for existing customers.
Proactively identify opportunities to drive customer success and product adoption through architectural guidance, hands-on enablement, and technical planning.
Investigate and resolve our cases (secret access, authentication, certificate workflows, remote access) while guiding secure configuration and best practices.
Reproduce issues in test environments (Linux, Docker, K8s) to isolate root causes.
Write KB articles to streamline troubleshooting and improve customer experience.
Learn customers business and challenges; log and communicate requirements; partner with Product & Engineering to escalate/validate fixes, contribute to team processes, internal tooling, and advocate for customers.
Act as a trusted advisor and support critical issues.

we are looking for a dedicated and customer-focused Customer Success Engineer to join our team. In this role, you will be responsible for ensuring that our customers derive maximum value from our products post-purchase. You will act as a vital link between our technical teams and customers, providing training, deployment support, and ongoing engagement to foster strong relationships and drive customer satisfaction.
Responsibilities:
Customer Usage: Collaborate with customers to drive usage Networks means segmenting assets and users effectively, ensuring tailored deployment support and engagement strategies.
Training Delivery: Conduct comprehensive training sessions for customers following procurement, equipping them with the knowledge and skills to utilize our products effectively.
Regular Engagement: Schedule and conduct regular touch bases with customers.
Technical Issue Resolution: Lead with extreme accountability to resolution, customer issues in collaboration with support and R&D.
Customer Relationship Management: Build and maintain strong relationships with customers, understanding their goals, challenges, and feedback to enhance their experience with our products.
Feedback Loop: Gather customer feedback and insights to relay to internal teams, contributing to product improvements and enhancements.