Technical Marketing Manager - Data & AI Platforms

Salary Range: 200000 to 250000 (Currency: USD) (Pay period: per-year-salary)

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). 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
 
-- 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.
 

Who you are

-- 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.
 
 
This role requires on-site presence at HQ three days a week.