Director of Marketing

Job Description

Job Description

About zaimler

AI agents can't reason over data they don't understand. Enterprise data today is fragmented across dozens of systems with no shared context, meaning, or structure, and that's why most enterprise AI is failing. The shift from copilots to autonomous agents is creating an entirely new infrastructure layer, and we're building it.

zaimler is the context infrastructure for the agentic era: a platform that automatically discovers domain knowledge, maps relationships, and gives AI agents the semantic understanding to operate with precision at scale. Imagine knowledge graphs that support real-time inference, built for systems that need to reason, not just retrieve.

zaimler was founded by Biswajit Das (ex-VP Engineering, Truera), a Data Infra veteran and former Chief Architect at Visa, and Sofus Macskassy (ex-Director of Engineering, LinkedIn), who built one of the largest knowledge graphs in production in the industry at LinkedIn. We're growing and deploying with major enterprises across insurance, travel, and technology. If you want to build infrastructure that the next decade of enterprise AI runs on, we'd love to talk.

Why this role exists

We’re hiring zaimler’s first Product Marketer to take us from 0 → 1 in GTM: define our narrative, package the product for a clear ICP, and own the company launch end-to-end in a B2B/enterprise market.

What you’ll do

• Own messaging, positioning, and category narrative:
• Define zaimler’s positioning and differentiation across buyers and users.
• Build the messaging architecture: ICP → personas → use cases → value props → proof points.
• Create the “why now” story for enterprise context, agentic systems, and domain intelligence.

• Lead the public launch from scratch:
• Build the launch plan (timeline, assets, channels, internal readiness).
• Own launch deliverables: website narrative, announcement story, core deck, demos, press/analyst brief, and campaign assets.
• Coordinate tightly with founders, product, design, and engineering to ship a launch that lands.

• Create technical + customer-facing content that sells:
• Write high-signal content: blogs, solution briefs, explainers, reference architectures, integration guides.
• Produce demo-first assets: recorded demos, short videos, webinars, “how it works” walkthroughs.
• Turn complex system concepts into clear, credible stories.

• Build sales enablement for enterprise deals:
• Create battlecards, competitive POV, objection handling, and “why us” talk tracks.
• Enable Sales/SEs with pitch decks, discovery guides, and persona-specific one-pagers.
• Join key customer calls to sharpen messaging and accelerate the pipeline.

• Become the voice of the customer + market signal owner:
• Run customer/ICP discovery interviews; synthesize insights into product + GTM direction.
• Establish customer proof: early case studies, testimonials, lighthouse narratives.
• Partner with Product on packaging/pricing inputs, use-case prioritization, and adoption loops.

What we’re looking for

• 6+ years in Product Marketing / Technical Marketing / Developer Marketing (or equivalent path).
• Experience marketing highly technical B2B products: data platforms, infra, security, developer tools, AI/ML platforms, observability, etc.
• Strong ability to translate technical concepts into simple, sharp narratives for executive + technical audiences.
• Hands-on builder: you can create assets yourself (docs, decks, demos, videos) and iterate fast.
• Comfortable being customer-facing—on calls, on stage, and on camera when needed.
• Cross-functional operator: Partner with product, engineering, sales, and design

Nice to have

• Prior experience in early-stage 0→1 GTM or launching a new category.
• Familiarity with AI/ML ecosystems, semantic layers, governance/metadata, RAG/agents, and enterprise data ecosystems.
• Ability to articulate or reason about APIs/SDKs/architectures

We value builders over résumés. If this role excites you but you don't check every box, we still want to hear from you. zaimler is an equal opportunity employer.

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. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.