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GroTech Search is hiring a Founding Customer Success Engineer in New York to act as the technical partner, guiding customers from ideas to trusted, automated systems. You will own data, workflows, and goals, resolving issues and shaping product feedback into future automations and documentation.
You will build relationships with both technical and business stakeholders, turn deployments into reusable playbooks, and push for durable customer value as the platform scales.
Our client is hiring a Founding Customer Success Engineer to help customers get meaningful value from the platform. The successful candidate will maintain an unusually high-touch and customer-facing approach as the company scales, building the automation, tools, and operating systems that handle everything a person should not have to do manually.
Our client is an agent-first platform for teams to build bespoke GTM software. Agents are making it possible for anyone to build custom software around how a company sells. However, turning a good idea into a production system still requires coordination across data providers, internal and external data, APIs, permissions, integrations, monitoring, and operational infrastructure.
The platform makes that layer practical, giving power users and agents the primitives to build and run the exact systems their company needs. The company already has thousands of power users across several T1 companies and has grown rapidly since launching six months ago. The team is lean, deeply technical, and moving quickly to build infrastructure for agent-built software.
This is not a traditional support role. The successful candidate will be the technical partner who helps customers move from a promising idea to a system they trust and rely on. They will go deep on customer data, tools, workflows, and goals, guide implementation, solve problems when they emerge, and ensure the product is producing real outcomes.
The successful candidate will also be close to the company's most important product feedback. The patterns they find across customer deployments should become AI automations, product capabilities, and documentation that make the next customer successful faster.