Nimble

HQ
Santa Monica
140 Total Employees
Year Founded: 2021

Teams at Nimble

Recently posted jobs

4 Days AgoSaved
Hybrid
New York, NY, USA
Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning • Natural Language Processing • Big Data Analytics
Build and deploy AI agents and search integrations for enterprise customers. Develop production Python orchestration code, integrate MCP, SDKs, and APIs, define evaluations, optimize quality, latency, and cost, and support production handoff. Partner directly with customer engineers and executives, document implementations, and train users. As the founding Forward Deployed Engineer, shape engagement processes, reusable integrations, evaluation tools, hiring strategy, and the broader FDE function.
4 Days AgoSaved
In-Office
San Francisco, CA, USA
Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning • Natural Language Processing • Big Data Analytics
Build and deploy AI agents and search integrations for enterprise customers. Develop production Python orchestration, agent tools, evaluations, and integrations using MCP, SDKs, or APIs. Partner with customer engineers to refine architecture, benchmark quality, latency, and cost, and deliver production handoffs. Create runbooks, train customers, and turn recurring implementation needs into reusable integrations and product improvements while shaping the founding Forward Deployed Engineering function.
6 Days AgoSaved
Hybrid
New York, NY, USA
Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning • Natural Language Processing • Big Data Analytics
Leads Nimble’s global enterprise Customer Success organization, owning retention, net revenue retention, expansion, adoption, and churn reduction. Builds and mentors CSM teams, establishes scalable success frameworks, drives renewals and forecasting, and partners with Sales, Product, Engineering, Finance, and Solutions. The role requires executive-level customer engagement, technical stakeholder management, data-driven operations, and startup experience in SaaS environments.