Technical Marketing Manager, Data & AI Platforms

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.

What you'll do
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).

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.
-- 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
-- Domain background in data observability, data management, or governance.
-- Has previously built demos or sample apps for a platform (not point-tool) product.

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.
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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. If you would like more information about how your data is processed, please contact us.