Head of Outcome Engineering

<p><strong><span style="font-size: 12pt; font-family: arial, helvetica, sans-serif;">About TrueFoundry</span></strong><br><br>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 Head of Outcome Engineer 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>The Role</strong></h3> <p>As <strong>Head of Outcome Engineering</strong>, you’ll lead the engineering, delivery, and team-building functions of our enterprise outcomes initiatives.</p> <p>You’ll be responsible for:</p> <ul> <li>Owning the <strong>technical delivery</strong> of high-impact, GenAI-powered solutions across multiple verticals — ensuring excellence in engineering, ML, and domain execution.</li> <li>Building and leading a <strong>high-performing engineering and applied ML team</strong> that ships projects reliably, repeatably, and scalably.</li> <li>Developing <strong>domain-aligned technical frameworks, reusable components</strong>, and <strong>solution templates</strong> to reduce service effort and accelerate time-to-value.</li> <li>Partnering closely with the <strong>Head of Enterprise Outcomes</strong> to align delivery with strategic vertical bets, client goals, and product feedback loops.</li> <li>Driving a <strong>culture of quality, repeatability, and financial discipline</strong> in how solutions are scoped, staffed, and shipped.</li> </ul> <h3><strong>What You’ll Own</strong></h3> <h4><strong>Engineering Delivery &amp; Excellence</strong></h4> <ul> <li>Oversee delivery of ML/GenAI solutions that meet business outcomes with world-class engineering rigor.</li> <li>Ensure outcomes are <strong>production-grade, scalable, and referenceable</strong>.</li> <li>Act as technical sponsor for top accounts and POCs.</li> </ul> <h4><strong>&nbsp;Repeatability &amp; Platform Impact</strong></h4> <ul> <li>Build <strong>accelerators, templates, and tools</strong> that reduce effort across future engagements (e.g., Cognita apps, domain-specific evals, RAG pipelines).</li> <li>Codify delivery best practices into <strong>solution playbooks</strong> that can be reused across customers.</li> <li>Channel structured technical feedback into product roadmap conversations with TrueFoundry platform teams.</li> </ul> <h4><strong>Operational and Team Leadership</strong></h4> <ul> <li>Hire, grow, and manage a <strong>pipeline of engineering talent</strong> to support services without compromising margins.</li> <li>Own <strong>resourcing, forecasting, and execution</strong> across all delivery projects.</li> <li>Build systems for <strong>timeline reliability, knowledge reuse, and cost-effective staffing</strong>.</li> </ul> <h3><strong>&nbsp;Who You Are</strong></h3> <ul> <li>You’ve <strong>built and led Applied ML teams</strong> at some of the large tech companies. Ideally, you have also led research and / or engineering at startups.&nbsp;</li> <li>You are deeply hands-on with <strong>ML, GenAI, systems design</strong>, and are opinionated about <strong>repeatable architectures</strong> for AI delivery.</li> <li>You care about <strong>customer outcomes</strong>, but measure success by how <strong>repeatable and product-integrated</strong> the delivery is.</li> <li>You thrive in <strong>fast-paced, ambiguous environments</strong> where strategy, execution, and feedback loops happen in tight cycles.</li> <li>You’re passionate about building not just great solutions — but the <strong>org, processes, and playbooks</strong> that make them scale.</li> </ul> <h3><strong>Why Join TrueFoundry</strong></h3> <ul> <li>Build TrueFoundry’s <strong>Enterprise Outcomes Engineering</strong> function from the ground up — with founders and GTM leaders fully invested.</li> <li>Work on deeply strategic projects with enterprise leaders across healthcare, manufacturing, retail, and more.</li> <li>Define how engineering delivery intersects with GenAI product building at scale.</li> <li>Join a <strong>Series A-backed company</strong> shaping the future of AI application infrastructure.</li> </ul>