Staff GTM AI Engineer

Procore Technologies; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Procore Technologies is seeking a Staff Engineer, GTM AI for the India team. You will lead the architectural foundation and production-grade implementation of our internal agentic GTM AI systems, guiding transitions from rapid experimentation to scalable, enterprise-grade solutions.

This role requires systems thinking and a track record of scaling complex AI platforms. You will own architecture, drive engineering outcomes, and mentor teams through high-growth phases, while collaborating with

Qualifications

• 7–10+ years in software engineering with ownership of large-scale, distributed system architectures.

Responsibilities

• Architectural Ownership
• Technical Execution & Mentorship
• Engineering Outcomes You’ll Own

Skills

Systems thinking

Architecture leadership

Communication

Mentorship

Security mindset

Tools

Python

AWS

LangGraph

Claude

Vertex AI

Workato

Kubernetes

Microservices

Event-driven

Vector databases

Memory systems

Prompt engineering

LLMs

RAG

Job description

We are looking for a Staff Engineer, GTM AI to join the Procore India team. In the role you will lead the technical strategy and implementation for our Go-to-Market (GTM) AI systems. This is a high-visibility, “Staff+” role where you will not just contribute code—you will define the architectural foundation for our internal agentic solution. You will lead the transition from rapid experimentation to a scalable, production-grade agentic engine that empowers our sellers. If you are a systems-thinker who thrives on scaling complex, event-driven AI platforms and you want to define “how things are built” at an enterprise scale, this is your role.

Responsibilities

• Architectural Ownership
• Technical Execution & Mentorship
• Engineering Outcomes You’ll Own

Requirements

• Experience: 7–10+ years in software engineering, with a proven track record of owning large-scale, distributed system architectures.
• Languages & Infra: Expert-level fluency in Python and modern cloud environments ( AWS ).
• Agentic Platforms: Demonstrated experience building on Agentic frameworks (e.g., LangGraph, Claude, Vertex AI, Workato ).
• AI/ML Ops: Deep understanding of LLMs, RAG, vector databases, memory systems, and prompt engineering at scale.
• Architecture: Mastery of Kubernetes, microservices, and high-throughput event-driven architectures.

Leadership & Soft Skills

• Security Mindset: Proven ability to build enterprise-grade products with strict compliance, data privacy, and security-first principles.
• Communication: A track record of translating complex technical trade-offs into business-aligned roadmaps for executive leadership.
• Mentorship: Experience guiding engineering teams through hyper-growth or rapid scaling phases.

Nice to Have

• Experience with Revenue Tech / CRM (Salesforce,GONG, Outreach etc.) data structures.
• Exposure to AI Evaluation frameworks (automated testing/QA for LLM outputs).
• Experience working in a global-local model, driving alignment between distributed engineering teams.