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 Founder's Office GTM to join the team.

The Problem We're Solving

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:

AI Gateway is the control plane that has five composable components (Prompts, LLM Gateway, MCP Gateway, Guardrails, Agent Gateway) that handle routing, orchestration, and governance.

AI Deploy is the compute layer of 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

Role Overview

We are looking for a high-strategic, execution-focused individual to join the Founder’s Office – GTM.

This is a high-impact role working directly with the founders on strategic go-to-market initiatives, revenue acceleration, partnerships, and growth experiments. You will operate at the intersection of strategy and execution helping define GTM direction while also rolling up your sleeves to drive outcomes.

Key Responsibilities

Work directly with founders to define and execute GTM priorities
Identify and validate new market opportunities, ICPs, and expansion segments
Drive strategic outbound initiatives and support enterprise deals
Support high-stakes customer conversations, demos, and strategic accounts
Own cross-functional GTM projects across Sales, Marketing, Product, and Customer Success
Translate technical capabilities into strong business value propositions
Build GTM playbooks, positioning, and messaging for AI/ML platform offerings
Track pipeline, funnel metrics, and revenue insights to drive growth
Assist in partnerships, ecosystem development, and strategic alliances
Lead special projects such as product launches, pricing experiments, and new market entry
Understanding of AI/ML ecosystem and LLM landscape
Understanding of cloud platforms: AWS / GCP / Azure
Knowledge of Kubernetes, Docker, APIs, and developer workflows
Ability to understand and articulate AI infrastructure, model deployment, and inference workflows
Experience selling or positioning B2B SaaS, DevTools, or AI platforms
Ability to run product demos and technical discovery calls with customers
Strong skills in GTM analytics, CRM tools (HubSpot/Salesforce), and sales enablement
Ability to convert technical features into compelling business and ROI narratives.

What We’re Looking For

4–7 years of experience in consulting, GTM, growth, product strategy, or early-stage startups
Prior experience in AI/ML, DevTools, SaaS, or cloud ecosystem
Strong analytical and structured problem-solving skills
Excellent communication, storytelling, and stakeholder management
High ownership mindset with ability to operate in ambiguity
Comfort working directly with founders

Nice to Have

Experience in AI infrastructure, developer tools, or platform SaaS
Prior Founder’s Office or early-stage startup experience
MBA or consulting background
Exposure to US or global B2B markets

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