Technical Lead

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 environment, 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.

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-hosted data sovereignty, hallucination-free grounded answers) into a story specific to that account and its stakeholders. Present confidently to technical and executive audiences on the customer side, including in high-stakes leadership demos. Pilot Delivery (Prove stage) Lead pilots inside the customer's own environment, riding an engagement or cadence that already exists rather than triggering a new procurement cycle. Instrument the pilot against a KPI the customer already reports, and drive it to a number the customer will repeat to their own leadership without your team in the room. Manage pilot scope, timeline and technical risk directly — this role builds and debugs, it does not only direct others. Production Deployment (Establish stage) Own the technical path from a proven pilot to a production deployment: architecture decisions, integrating the customer's live systems as tools that stay outside the substrate rather than being rebuilt inside it, and governance and data-sovereignty requirements. Identify and scope the next domains that can run on the same substrate, without a rebuild, as the natural expansion path. Exit this stage when the substrate is the customer's default context layer — a standard, not a project. Cross-Account Technical Leadership Mentor and support other Field-Deployed Engineers; bring technical rigor and consistency across the account portfolio. Turn account-specific patterns into reusable use-case archetypes the rest of the team can apply elsewhere. Apply the team's stage-gate discipline — evidence, not enthusiasm: no move to Prove without a named KPI, no move to Establish without a measured result.

8–12 years of experience in technical/solutions engineering, forward-deployed engineering, technical pre-sales, or applied AI/ML delivery, with substantial direct customer-facing experience. Proven delivery of AI/LLM-based systems (agents, RAG, knowledge graphs, or comparable context/knowledge