Head of Outcome Engineering
TrueFoundry
Head of Outcome Engineering
TrueFoundry
Enterprise AI gateway and deployment platform
About TrueFoundry
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.
That infrastructure layer is being built right now.
We're TrueFoundry, and we're building it. We're looking for a Head of Outcome Engineer to join the team.
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.
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.
You need a control plane that handles:
We've built two products to solve this:
AI Gateway is the control plane, a five-composable components (Prompts, LLM Gateway, MCP Gateway, Guardrails, Agent Gateway) that handle routing, orchestration, and governance.
AI Deploy is the compute layer, a Kubernetes-based platform that abstracts ML workloads as standard software primitives, so everything runs on unified infrastructure.
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.
As Head of Outcome Engineering, you’ll lead the engineering, delivery, and team-building functions of our enterprise outcomes initiatives.
You’ll be responsible for:
Enterprise AI gateway and deployment platform
TrueFoundry provides an Enterprise Platform as a Service to build, ship, and govern Agentic AI applications at scale with its AI Gateway and Agentic Deployment platform. The AI Gateway combines LLM, MCP, and Agent Gateways to give a single control plane for managing, observing, and governing all components of Gen AI apps with FinOps controls. The Agentic Deployment platform runs on Kubernetes-native infrastructure to deploy models on GPUs, run AI agents, and host MCP servers, with on-prem, multi-cloud, or hybrid options and data residency plus enterprise compliance. Its goal is to be the central control plane for Agentic AI at scale within enterprises, enabling multi-agent systems to form a self-sustaining ecosystem that speeds innovation.
Explore more opportunities at TrueFoundry