Cinder provides a platform to protect the internet. We help companies manage the interaction layer — the part of their product where users engage, and sometimes abuse systems.
Our AI agents, workflows, and tooling power real-time trust & safety, AI red teaming, and content integrity for some of the most important technology companies in the world.
We’re a small, fast-moving team backed by Accel and Y Combinator. We care about being intentional, direct, and deeply focused on providing real outcomes for our customers.
We’re hiring a Customer Success Manager to help us scale how we support and partner with customers as we grow.
You’ll join an existing foundation and work closely with our Customer Success team, as well as Product and Engineering, to deliver a high-quality and consistent customer experience.
This is a technical, hands-on role. A large portion of customer interactions involve diagnosing issues, understanding how systems are configured, and helping customers navigate the details of how Cinder works in practice.
You will own a set of accounts and be responsible for both customer outcomes and technical problem-solving, including:
helping customers successfully implement and use Cinder in their workflows
supporting adoption of new features and capabilities as the product evolves
investigating issues, answering detailed product questions, and guiding customers to resolution
following through on product gaps, bugs, and edge cases that impact customer experience
You’ll act as the bridge between customers and the product — not just relaying information, but understanding the system deeply enough to diagnose problems, explain tradeoffs, and drive clarity.
Debug and investigate customer issues across APIs, workflows, and data flows
Answer detailed product and implementation questions (not just route them)
Reproduce issues, identify root causes, and determine next steps
Escalate to engineering when needed, with clear context and hypotheses
Help customers understand and adopt new features in a practical, hands-on way
Translate product changes into concrete workflows for customers
Follow up to ensure changes are actually implemented and delivering value
Serve as the primary point of contact for your accounts
Build trust with both technical and non-technical stakeholders
Communicate clearly about issues, timelines, and tradeoffs
Identify patterns in customer issues and product gaps
Help refine support workflows, escalation paths, and documentation
Contribute to a tighter feedback loop between customers and product
Every customer has a clear owner and consistent experience
Support is structured (SLAs, prioritization, fast responses)
Customers trust you and come to you first with issues
Churn risk is proactively managed (no surprises)
Product feedback from customers is clear, actionable, and recurring
Founders and engineers are no longer the default support layer
Have 4+ years in a technical, customer-facing role (Customer Success, Solutions, Technical Account Management, Implementation, or similar)
Are comfortable debugging issues across APIs, data, or system workflows
Have experience working with databases, logs, or structured data (e.g., SQL, querying, data inspection)
Can independently investigate and resolve customer issues without relying entirely on engineering
Are an excellent communicator who can explain technical concepts clearly to different audiences
Take ownership of outcomes and follow through on details
Have experience with data models, schemas, or backend systems
Have worked on Trust & Safety, AI systems, or platform products
Have experience in early-stage or fast-moving environments
This is one of the highest-leverage roles at Cinder.
Retention, customer trust, and product feedback loops all depend on this function. Done well, this role directly shapes:
how customers experience Cinder
how our product evolves
how we scale
We prioritize candidates based in New York City or willing to relocate. We believe this role benefits from close collaboration with the team.
We use structured, skills-based interviews focused on real scenarios (e.g., handling customer escalations, prioritizing support issues). This helps us evaluate candidates fairly and consistently, based on how they would actually perform in the role.

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