Responsibilities

• 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 (lineage, governance, pipeline health), enterprise architects (cross-environment control plane, no consolidation), and AI practitioners (governed data for agents, model-agnostic runtimes). Each is a different dialect; you write all three credibly
• Own the technical framework behind the positioning: control without consolidation, runtime versus design-time governance, multi-engine observability, source- and model-agnostic interoperability. Provide proof through demos, papers and talks
• Represent Acceldata in the field
• Run live platform demos at tradeshows and events, and support SDRs on early-stage screening and qualification calls, the top-of-funnel demo that helps sort real prospects from noise, distinct from the deal-stage evaluation the Sales Engineer owns
• Build and deliver conference sessions and technical presentations; speak on stage

Requirements

• 12+ years in technical marketing engineering, developer relations, solutions/sales engineering, or a hands-on architect role
• Hands-on: you build, you don't just describe. Comfortable across data engines (Spark, streaming, warehouses, lakes), Kubernetes, APIs, and modern AI/agent tooling (LLM APIs, MCP, agent frameworks)
• Can hold a room of data architects and a room of AI practitioners with equal credibility
• On-site presence at HQ three days a week

Preferred

• Domain background in data observability, data management, or governance
• Existing conference speaking track record
• Has previously built demos or sample apps for a platform (not point-tool) product