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ReN3 (The Reentry Foundation Pte Ltd) builds enterprise-grade agentic AI automation platform. Our platform enables organisations to deploy AI agents that reason, retrieve, and act across structured data sources, documents, and APIs — governed, auditable, and enterprise-ready.
We work with banks, government agencies, and large enterprises across Southeast Asia, deploying on sovereign infrastructure where data residency matters. The stack is real: MCP-native, multi-model, with deep integrations into Snowflake, relational databases, document stores, and enterprise identity systems.
As Presales Consultant, you sit at the intersection of product, engineering, and commercial. You're the person who walks into a room with a CTO and a CDO and earns their trust — not by selling, but by solving. You'll own technical discovery, solution design, and live demonstrations of ReN3's platform tailored to each client's environment.
This is a high-ownership role in a fast-moving team. You'll work directly with founders and engineers, shaping both deals and the product roadmap.
What You Bring
Bonus Points
Job ID: 148369481
Skills:
sentinel , cloud security, PowerShell, Identity Management, Microsoft 365, automation, Entra ID, Purview, AI technologies, Defender, Windows systems, Zero Trust, compliance frameworks, threat protection, Large Language Models
Skills:
Rest Apis, Swift, local payment networks
Skills:
Ml, Batch, ELT, Streaming, Gcp, Azure, AWS, Etl, data platforms, Ai, data ingestion and integration concepts, Pipelines, cloud ecosystems
Skills:
Predictive Modelling, Ml, Cloud Migration, Nlp, Computer Vision, Azure, AWS Bedrock, LLMs, Proposal Writing, Ai, costing, legacy modernisation, Bid Management, data platform implementations, Google Vertex AI, OpenAI, Process Automation
Skills:
Api Management, Integration patterns, Data pipeline and orchestration tools, Messaging queues, Prompt engineering, AI platforms, Middleware concepts, AI and LLM-based applications, Integration data management, Value-based selling methodologies, RAG vector search, Agent-based automation
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