Overview

Synapt Context Substrate is the trusted context layer that sits between enterprise data and AI agents — organizing knowledge, procedures, relationships and decisions so that every agent reasons from the same governed, current source of truth. We are looking for a Technical Lead to join the Customer Success (FDE) team and own the technical arc of customer engagements end to end: from spotting a genuine substrate problem inside a customer's workplace, through building the demo that proves it, to running the pilot and carrying it into production.
This is a hands-on, customer-facing technical leadership role. You will not hand off between “the person who sells it” and “the person who builds it” — you are both, across every account you own. You will work directly inside the team's three-stage engagement model — Introduce, Prove, Establish — and be the technical backbone that moves an account from first conversation to a production deployment the customer treats as standard infrastructure, not a project.

Responsibilities

Use-Case Design (Introduce stage)




Read a customer's estate — systems, workflows, existing tools — rather than waiting for a fully-formed requirement, and diagnose whether the problem is genuinely a substrate problem: a reasoning or judgment gap over fragmented knowledge, not an integration, ML, or reporting problem in disguise.
Partner with account and sales teams to shape one well-scoped use case per engagement, built from the customer's own documents and systems, that can produce a measurable result in 3–6 weeks.
Exit this stage with the customer naming one use case and the KPI it will be judged on — not general enthusiasm.
Customer Demonstrations
Design and deliver technical demos and proofs-of-concept that ground the pitch in the customer's own data and systems rather than generic examples.
Translate the substrate's architecture and value proposition (a shared context foundation across every agent, always-current knowledge, customer-host

📌 Technical Lead (Chennai)
🏢 Prodapt
📍 Chennai