Acceldata's platform runs data workloads & AI agents where data lives — observability, governance, & runtime control built in across hybrid clouds. Backed by Insight and Lightspeed.
About the role
-- Build and maintain working sample applications and reference implementations on xLake that make the value self-evident: an agent runtime scheduled across cloud and on-prem, an MCP-driven agent scenario on governed data, multi-engine observability tracing a failure back to upstream lineage and pipeline health. -- Package these into repeatable, runnable demo assets the field and marketing can deliver without you in the room.
More about this role
Why this role exists
You provide the technical proof that xLake Data & AI Platform is real. You build the demos, sample applications, and talks that make the platform's hardest claims undeniable to enterprise data architects, enterprise architects, and AI practitioners. You win the architects before the sales call: the ones in the audience, the ones debating the reference architecture, the ones deciding whether Acceldata is real before anyone from sales has said a word.
Build the proof (sample applications and demos)
-- Build and maintain working sample applications and reference implementations on xLake that make the value self-evident: an agent runtime scheduled across cloud and on-prem, an MCP-driven agent scenario on governed data, multi-engine observability tracing a failure back to upstream lineage and pipeline health.
-- Package these into repeatable, runnable demo assets the field and marketing can deliver without you in the room.
-- Keep demos current as the platform ships.
Create technical material for a technical buyer
--Author reference architectures, technical deep-dives, solution briefs, benchmarks, and whitepapers aimed at three distinct audiences: data architects...
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