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
