Product Marketing Manager

DataBahn delivers AI-native capabilities for modern security operations. With Cruz AI, organizations gain persona-driven assistants that interact with security data in real time — from SOC analysts triaging alerts to CISOs tracking detection posture and coverage. By embedding intelligence directly into operations, DataBahn empowers security teams to move from reactive to proactive. Learn more at www.databahn.ai.

Databahnis building theAI-powered, security-native data fabricfor modern enterprises. Our platform enables organizations to ingest, transform,optimize, and move massive volumes of security and operational data with reliability, observability, and automation at its core. As data volumes explode and AI reshapes security operations,Databahnis redefining what a modern, vendor-neutral data control plane looks like. 

We are seeking an experiencedProduct Marketing Manager with deep security and data platform knowledgeto lead a complete evolution of our messaging, positioning, and technical storytelling. This is a critical role focused on modernizing howDatabahnis presented to the market and helping define an emerging category around AI-powered security data pipelines. 

Responsibilities

Content Development & Technical Messaging

• Lead the creation of highly technical, product-driven content to supportDatabahn’spositioning as an AI-nativeIT andsecurity data platform. 

• Develop architecture diagrams, technical white papers, reference designs, demos, product one-pagers, playbooks, and solution guides for security and data personas. 

• Translate complex technical conceptsintoclear, value-based messagingthatresonateswith CISOs, Detection Engineering Teams, SOC leaders, and Platform/Data Architects. 

• Own the messaging framework forDatabahn’sproduct lines (Highway, Cruz, Reef, AI Foundry, Smart Edge) and evolve it as the product matures. 

Customer & Market Insights

• Conduct deep research into: 

• • Security data architectures 

• • SIEM/SOAR platforms 

• • Observability, XDR, and data lake strategies 

• • AI in security operations 

• Develop a strong understanding of customer environments, pain points, and buying triggers across: 

• • Enterprise security teams 

• • Managed security providers 

• • Platform / data engineering teams 

• Partner closely with Product, Solutions Engineering, and Customer Success to build: 

• • Use case documentation 

• • How-to guides 

• • Technical blogs and whitepapers 

• • Customer stories and use case maps 

• Turn customer insights intoclear positioning and narrative directionfor campaigns, product launches, and sales motion. 

Cross-Functional Collaboration

• Partner with Growth, Sales, Demand Gen, and Regional Marketing to build campaigns that highlightDatabahn’srole inAI readiness,Cost reduction,Security modernization, andVendor-neutral architecture. 

• Work with Partner Marketing toshowcaseDatabahnintegrations withecosystem partners through co-branded content, hands-on labs, webinars, and technical enablement. 

• Act as the internalsource of truthforDatabahnmessaging — ensuring consistency acrosswebsite, sales decks, analyst materials, partner collateral, and roadmap announcements. 

• Support analyst relations (Gartner, IDC, Forrester) by supplying technical narratives, proof points, and positioning guidance. 

Technical Expertise & Thought Leadership

• Serve as atechnical subject matter expertforDatabahn: 

• Represent the company in presentations, webinars, analyst briefings, and select customer conversations. 

• Support conference content (Black Hat,SecTor, RSA, etc.) with strong technical positioning and storytelling. 

• Help define and evangelize the emergingData Pipeline / AI-Native Fabriccategory. 

What Success Looks Like in First 6–12 Months

• A completely refreshed, consistent messaging framework forDatabahn 

• Strong technical narrative around vendor neutrality + AI + pipelines 

• Sales and partners usingDatabahnmaterials confidently and consistently 

• Clear use-case mapping perpersonaand vertical 

• Recognizable thought leadership positioning in the market 

• Improved MQL → SQL conversion due to clearer story + stronger assets 

WhatYou’llBring

• 5–8+ years of experience in product marketing, solutions engineering, or technical marketing

• Knowledge of SIEM, data pipelines, telemetry, normalization, ingestion pipelines, and SOC operations strongly preferred 

• Exceptional ability to: 

• • Synthesize complexity 

• • Create narratives 

• • Influence without authority 

• • Drive clarity and structure 

• Strong writer with experience producing: 

• • Technical whitepapers 

• • Architecture content 

• • Sales decks 

• • Message frameworks 

• Experience working with: Product, Sales, Analysts, Partners, and Executive leadership 

• Strategic thinker + hands-on executor — can move from vision to asset creation quickly 

• Comfortable in a fast-moving, ambiguous startup environment 

(Writing and portfolio samples will be requested as part of the interviewprocess.)

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