Technical Customer Success Manager
Description
Responsibilities:
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Manage a high-volume portfolio of accounts (details below)
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Identify customer needs, map them to solutions, and guide customers to resolution quickly and effectively
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Introduce relevant next use cases to drive continued adoption and value realization
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Build working solutions for customers using Cloudinary APIs, SDKs, webhooks, and integrations, including code samples, proofs of concept, and troubleshooting of customer implementations
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Collaborate closely with AMs to support active opportunities and at-risk accounts
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Maintain clear and consistent documentation of engagements, including sentiment, and outcomes
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Use AI to maximize operational efficiency in prep, follow-up, documentation, and signal triage
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Provide feedback to Product, Marketing, and Education teams based on recurring customer needs and trends
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Contribute to the development and refinement of Digital playbooks, automations, resources, and scalable solutions (guides, training, etc.)
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Execute a transactional engagement model with short-cycle engagements (2-4 weeks) to resolve specific adoption blockers or use cases
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Prioritize interactions using playbooks, campaigns, and inbound signals (AMs, Support), based on:
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Active sales opportunities (non-renewal)
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At-risk signals
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Campaign or product-driven initiatives
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Lead efficient, solution-oriented customer meetings (typically 30-60 minutes)
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Provide clear, actionable guidance and resources, including writing or reviewing code, then hand it back so customers can move forward independently
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Balance multiple concurrent engagements while maintaining speed and quality
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Re-engage customers as new needs arise
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Digital Account Management
About You:
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Strong technical background, including hands-on experience building solutions with APIs and SDKs (JavaScript, Python, or similar)
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Ability to design solutions across the full Cloudinary feature set and debug customer implementations
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Experience as a CSM, SE, or TAM at Cloudinary or similar SaaS environment
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Strong understanding of Cloudinary products and use cases (or ability to ramp quickly)
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Proven experience using AI to maximize operational efficiency, with examples
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Proven ability to manage a high volume of customer interactions effectively
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Strong problem-solving skills with a focus on identifying and resolving customer pain points quickly
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Excellent communication skills, with the ability to guide customers to clear outcomes in short engagements
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Ability to prioritize and manage multiple concurrent transactions
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Comfortable operating in a fast-paced, scalable engagement model with less structured, ongoing relationships
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Track record of driving product adoption and customer value, leading to retention and growth
Skills
As published by lever
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