Customer Success Manager

<p><span style="font-family: arial, helvetica, sans-serif;"><strong><span style="font-size: 12pt;">About TrueFoundry</span></strong></span></p> <p>Every production AI system, whether it's powering customer support, writing code, analyzing financial data, or diagnosing medical conditions, needs the same foundational infrastructure.A way to route between models. A way to manage tools and integrate them securely. A way to orchestrate agents and enforce governance. A unified compute layer to run it all.</p> <p><strong>That infrastructure layer is being built right now.</strong></p> <p>We're TrueFoundry, and we're building it. We're looking for a Founder's Office with a focus on Customer Success to join the team.</p> <h2><span style="font-size: 12pt;"><strong>The Problem We're Solving</strong></span></h2> <p>Companies are moving beyond simple chatbots to production agentic systems. These systems route between OpenAI, Anthropic, Google, and self-hosted models. They integrate dozens of tools via protocols like MCP. They orchestrate multi-agent workflows where agents coordinate with other agents.</p> <p>The infrastructure to support this doesn't exist yet. You can't just duct-tape together a few API calls and call it production-ready.</p> <p>You need a control plane that handles:</p> <ul> <li>Intelligent routing with observability, cost policies, and fallback logic</li> <li>Centralized tool and MCP server management with security and lifecycle controls</li> <li>Agent orchestration with governance and guardrails</li> <li>A unified compute layer to run self-hosted models, custom tools, and agents</li> </ul> <p>We've built two products to solve this:</p> <p><strong>AI Gateway</strong> is the control plane, a five-composable components (Prompts, LLM Gateway, MCP Gateway, Guardrails, Agent Gateway) that handle routing, orchestration, and governance.</p> <p><strong>AI Deploy</strong> is the compute layer, a Kubernetes-based platform that abstracts ML workloads as standard software primitives, so everything runs on unified infrastructure.</p> <p>We're Series A, backed by Intel Capital and Sequoia. Companies like CVS, Mastercard, Siemens, Paytm, Synopsys, and Zscaler run production AI workloads on our platform.</p> <h3><strong>Role Summary</strong></h3> <p>You will work directly with the Co-founders on strategy, execution, and cross-functional initiatives. You will drive high-impact projects across AI platform strategy, GTM, enterprise adoption, customer success and operating cadence in a fast-growing, developer-first B2B SaaS company.</p> <h3><strong>Key Responsibilities</strong></h3> <ul> <li>Drive founder-led strategic initiatives and quarterly priorities</li> <li>Translate strategy into execution plans, milestones, and outcomes</li> <li>Partner with Product, Platform Engineering and Customer Success</li> <li>Support enterprise GTM, strategic accounts.</li> <li>Track OKRs, leadership action items, and cross-team dependencies</li> <li>Prepare leadership decks, dashboards, decision memos, and investor updates</li> <li>Lead or support special projects: Launch and scale <strong>GenAI capabilities</strong> (LLM deployment, inference optimization, model orchestration)</li> </ul> <p><strong>Who You Are:&nbsp;</strong></p> <ul> <li>Minimum of 3 years experience in startups, consulting, product ops, strategy, or business roles</li> <li>Strong problem-solving, structured thinking, and execution skills</li> <li>Excellent written and verbal communication and strong analytical and dashboarding skills</li> <li>High ownership, bias for action, comfort with ambiguity</li> <li>Exposure to B2B SaaS, AI/ML platforms, cloud infrastructure, or developer tools</li> <li>Experience working with founders, platform teams, or enterprise customers</li> </ul>