About GTM Intelli

At GTM Intelli, we’re redefining how enterprises manage their Go-to-Market operations. Our platform leverages AI-powered agents to optimize sales, marketing, and customer success workflows at scale.

We are building next-generation AI solutions that enable enterprise teams to execute smarter, faster, and with greater precision:

GTMCommandCenter – Unified GTM orchestration platform with intelligent agents managing CRM, spend analysis, and tactical execution.

All of our products are built with a reusable AI framework designed for scalability, security, and enterprise compliance. We are now seeking a senior AI Platform Engineer to take these platforms from prototype to production-ready, enterprise-grade deployments.

Your Mission

You will own the architecture, design, and operational deployment of GTM Intelli’s AI Platform. This role requires both strategic thinking and hands-on execution — designing scalable AI systems, integrating LLMs, enforcing security, and operationalizing production-level AI workflows for thousands of concurrent agents.

Key Responsibilities

Architect & Design

Define the technical architecture for GTM Intelli’s AI platform, including agent orchestration, LLM integrations, and secure data flows.
Translate GTM strategy into modular AI agent designs that scale across products and enterprise clients.
Evaluate and integrate LLM providers (OpenAI, Gemini, Claude, Knapsack, etc.) based on performance, cost, and data sensitivity.
Establish standards for API usage, orchestration logic, HITL workflows, and decisioning frameworks.
Ensure compliance with SOC 2, GDPR, ISO, and other enterprise regulations.

Build & Deploy

Audit and optimize existing prototypes, defining the fastest and most reliable path to production.
Architect and deploy secure, scalable infrastructure using GCP, Firebase, and hybrid cloud solutions.
Containerize, migrate, and operationalize platforms with CI/CD pipelines, and autoscaling.
Implement large-scale AI agent execution (1,000+ concurrent processes) with memory, goal logic, and guardrails.
Integrate third-party systems: Stripe, Twilio, SendGrid, Salesforce, HubSpot, Calendly, Terminus, SalesLoft, and others.
Manage authentication, RBAC, secrets management, and multi-tenant data isolation.

Collaborate & Lead

Work closely with leadership and engineering teams to shape the platform’s evolution.
Establish best practices for monitoring, logging, observability, and reliability.
Mentor and help grow a team of AI engineers and DevOps specialists over time.

Required Qualifications

4+ years in AI/ML architecture, enterprise systems design, or full-stack platform engineering.
Proven experience deploying AI/LLM applications at scale (LangChain, Claude, GPT, etc.).
Expert-level experience with Firebase and migrating prototypes to production.
Strong expertise in cloud platforms (GCP, AWS, or Azure) and DevOps practices.
Hands-on experience with GTM/CRM tools (Salesforce, HubSpot, Terminus, SalesLoft).
Solid development background: Node.js, Python, React/Next.js, modern front-end/backend frameworks.
Strong understanding of security and compliance (auth flows, encryption, RBAC, abuse prevention).
Ability to think in systems and platforms, not just individual apps.

Bonus Points

Experience orchestrating 100+ concurrent agents or processes in production.
Hands-on experience with real-time messaging, call flows, or voice agents.
Background in AI-native startups or labs.
Passion for building tools that redefine enterprise GTM operations.

Why GTM Intelli

This is your opportunity to lead the design and implementation of the next-generation AI GTM platform. You’ll work with a high-performing team, cutting-edge LLM technology, and the freedom to innovate at enterprise scale.

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