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TrueFoundry

Enterprise AI gateway and deployment platform

Head of Outcome Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • Experience building and leading Applied ML teams at large technology companies; experience leading research or engineering at startups is ideal.
  • Deep hands-on expertise in machine learning, generative AI, and systems design, with strong opinions about repeatable architectures for AI delivery.
  • A focus on customer outcomes and measuring success by repeatable, product-integrated delivery.
  • Ability to thrive in fast-paced, ambiguous environments with tight strategy, execution, and feedback cycles.
  • Passion for building the organization, processes, and playbooks needed to scale.

Responsibilities

  • Lead the engineering, delivery, and team-building functions of enterprise outcomes initiatives.
  • Own technical delivery of high-impact, generative AI-powered solutions across multiple verticals, ensuring excellence in engineering, machine learning, and domain execution.
  • Build and lead a high-performing engineering and applied machine learning team that delivers projects reliably, repeatably, and scalably.
  • Develop domain-aligned technical frameworks, reusable components, and solution templates to reduce service effort and accelerate time-to-value.
  • Partner with the Head of Enterprise Outcomes to align delivery with strategic vertical priorities, client goals, and product feedback loops.
  • Drive quality, repeatability, and financial discipline in scoping, staffing, and delivering solutions.
  • Oversee delivery of machine learning and generative AI solutions that meet business outcomes with engineering rigor.
  • Ensure solutions are production-grade, scalable, and referenceable.
  • Act as technical sponsor for top accounts and proofs of concept.
  • Build accelerators, templates, and tools that reduce effort across future engagements, including Cognita applications, domain-specific evaluations, and retrieval-augmented generation pipelines.
  • Codify delivery best practices into solution playbooks reusable across customers.
  • Channel structured technical feedback into product roadmap discussions with platform teams.
  • Hire, grow, and manage a pipeline of engineering talent to support services while protecting margins.
  • Own resourcing, forecasting, and execution across delivery projects.
  • Build systems for timeline reliability, knowledge reuse, and cost-effective staffing.

Desired Qualifications

  • Experience leading research or engineering at startups.

About the Company

TrueFoundry

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.

Company size
51-200
Company stage
Series A
Total funding
$21.3M
Headquarters
San Francisco, CA
Founded
2021

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