Head of Outcome Engineering

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 True Foundry, 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:

• Intelligent routing with observability, cost policies, and fallback logic
• Centralized tool and MCP server management with security and lifecycle controls
• Agent orchestration with governance and guardrails
• A unified compute layer to run self-hosted models, custom tools, and agents

We’ve built two products to solve this:

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:

• Owning the technical delivery of high-impact, GenAI-powered solutions across multiple verticals — ensuring excellence in engineering, ML, and domain execution.
• Building and leading a high-performing engineering and applied ML team that ships projects reliably, repeatably, and scalably.
• Developing domain-aligned technical frameworks, reusable components
  , and solution templates to reduce service effort and accelerate time-to-value.
• Partnering closely with the Head of Enterprise Outcomes to align delivery with strategic vertical bets, client goals, and product feedback loops.
• Driving a culture of quality, repeatability, and financial discipline in how solutions are scoped, staffed, and shipped.

• Oversee delivery of ML/GenAI solutions that meet business outcomes with world-class engineering rigor.
• Ensure outcomes are production-grade, scalable, and referenceable
  .
• Act as technical sponsor for top accounts and POCs.

• Build accelerators, templates, and tools that reduce effort across future engagements (e.g., Cognita apps, domain-specific evals, RAG pipelines).
• Codify delivery best practices into solution playbooks that can be reused across customers.
• Channel structured technical feedback into product roadmap conversations with True Foundry platform teams.

• Hire, grow, and manage a pipeline of engineering talent to support services without compromising margins.
• Own resourcing, forecasting, and execution across all delivery projects.
• Build systems for timeline reliability, knowledge reuse, and cost-effective staffing
  .

• You’ve built and led Applied ML teams at some of the large tech companies. Ideally, you have also led research and / or engineering at startups.
• You are deeply hands-on with ML, GenAI, systems design
  , and are opinionated about repeatable architectures for AI delivery.
• You care about customer outcomes
  , but measure success by how repeatable and product-integrated the delivery is.
• You thrive in fast-paced, ambiguous environments where strategy, execution, and feedback loops happen in tight cycles.
• You’re passionate about building not just great solutions — but the org, processes, and playbooks that make them scale.

• Build True Foundry’s Enterprise Outcomes Engineering function from the ground up with founders and GTM leaders fully invested.
• Work on deeply strategic projects with enterprise leaders across healthcare, manufacturing, retail, and more.
• Define how engineering delivery intersects with GenAI product building at scale.
• Join a Series A-backed company shaping the future of AI application infrastructure.