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 Power product launches and announcements - Own the technical proof for every major launch and GA: the demo that shows the new capability working, the reference architecture that explains it to architects, and the launch talk or session - Turn new platform capabilities into credible technical narrative fast, translate what shipped into why it matters for data architects, enterprise architects, and AI practitioners - Partner with product marketing and product management so the technical story lands on day one Standard technical marketing - Partner with product marketing, product management, sales engineering, and developer relations on launch content, competitive technical positioning, and sales enablement - Carry field and practitioner signal back into product and positioning What Winning Looks Like (first 6 To 12 Months) - A library of live, runnable demos spanning the three solutions (Data & Analytics, Data Observability & ADM, AI & Applications) - 10 in-person/online conference talks delivered to architect and practitioner audiences - The field actively uses the sample apps and other technical material in sales pursuits Bonus -

Requirements

• 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
• Strong writer and presenter with genuine stage presence.
• 12+ years in technical marketing engineering, developer relations, solutions/sales engineering, or a hands-on architect role
• This role requires 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