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TrueFoundry

Enterprise AI gateway and deployment platform

Forward Deployed Engineer - GTM

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USANo salary listedHybrid

About the Job

Requirements

  • Three to seven years of backend software engineering experience, including production systems that the candidate has shipped and owned.
  • Strong proficiency in Python, Go, or TypeScript.
  • Experience with Kubernetes or a major cloud platform such as AWS, Azure, or Google Cloud Platform.
  • Experience working with large language models, agents, evaluations, or machine-learning pipelines in production.
  • Ability to lead architecture discussions with customer engineering leaders and execute the technical work.
  • Business acumen to identify customer impact, architecture opportunities, and deal-winning opportunities.

Responsibilities

  • Own the technical arc of customer deals, from discovery and in-depth demonstrations through architecture discussions, proof of concept, and close.
  • Co-define proof-of-concept success criteria with customers, manage execution trackers and milestones, and build integration glue, agent workflows, and evaluation pipelines to demonstrate value in customer environments.
  • Make architecture decisions about how customers will operate artificial intelligence in production.
  • Represent TrueFoundry technically to enterprise customers and build credibility that helps convert evaluations into signed contracts.
  • Collect customer feedback and present structured, data-backed requests to the engineering and product teams to inform the product roadmap.

Desired Qualifications

  • Familiarity with vLLM, SGLang, LangChain, Triton, or model serving.
  • Experience as a founding engineer or chief technology officer at an early-stage startup, or experience at an infrastructure, MLOps, or developer-tools company.

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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