Technical Marketing Manager, acceldata

• 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
• If you’re passionate about translating deep technology into market impact, we’d love to have you on the team

Desirable

• Reports to CMO
• 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 (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