BENGALURU · FULLTIME
Staff GTM AI Engineer
Procore
Bengaluru · onsite · Posted 12d ago
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Section · 01
About this role
- Architectural Ownership
- System Authority: Serve as the technical lead for our Seller Agentic platform. You own the architecture across business functions and are responsible for its long-term health and scalability.
- Platform Evolution: Design and build the next-gen data/AI infrastructure. This includes robust integration layers, real-time intelligence pipelines, and service architectures that handle high-volume data without degradation.
- Risk Mitigation: Anticipate scaling bottlenecks. You will define the roadmap for iterative modernization to ensure the platform is future-proofed before performance issues surface
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- Technical Execution & Mentorship
- Hands-on Leadership: While you are a strategic leader, you are also a practitioner. You will contribute to writing and shipping the code.
- Engineering Excellence: Set the standards for the team. You will ensure that rapid prototyping is built on sound, sustainable foundations, teaching others how to manage complexity as the platform scales.
- The "Golden Record" Strategy: Lead the data strategy to establish a single, trusted system of record for account intelligence, ensuring consistency across the revenue lifecycle.
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- Engineering Outcomes You ll Own
- Scalable Architecture: Build a foundation that supports moving from one use case to dozens without regressions or downtime.
- Systemic Trust: Ensure AI outputs are auditable, accurate, and consistent. You will turn "Trust" into a provable engineering metric, not a marketing claim.
- Multiplier Effect: Your abstractions and API boundaries should enable junior engineers to ship faster and safer. You are here to amplify the teams output.
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- 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.
- 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.
- 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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
Section · Company
About Procore
Procore
Software Product
13
employees
Bangalore / Bengaluru, Karnataka
India
₹34.5L PA avg
Avg at Procore
About
Procore Technologies, Inc. (NYSE: PCOR) provides cloud-based construction software to clients across the globe. Using its award-winning suite of project management tools, hundreds of thousands of registered Procore users manage all types of construction projects, including industrial plants, office buildings, apartment complexes, university facilities, retail centers, and more.
Every day, we speak to construction firms that still heavily rely on paper-based documentation, email chains, and spreadsheets to manage their projects. Our goal is to help construction professionals increase their project success by simplifying project management with powerful collaborative software.
Procore helps firms drastically increase project efficiency and accountability by streamlining and mobilizing project communications and documentation. This real-time data and accessibility minimize costly risks and delays—ultimately boosting profits.
Industries
Employee ratings
10 reviews
Culture
3.1
Career growth
2.1
Work-life
2.9
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