Account Executive, Enterprise (Founding)

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.

The Role

We’re hiring our first enterprise Account Executive to convert early market traction into signed contracts. You’ll inherit an active pipeline—dozens of inbound prospects at various stages, including accounts moving toward proof-of-concept—and own qualifying, advancing, and closing those deals while building net-new pipeline on top.

This is a founder-adjacent, hands-on role. You’ll partner with founders and our Founding Forward Deployed Engineer on deal strategy and technical validation while owning the commercial relationship end-to-end. Beyond closing deals, you’ll build the sales playbook, processes, and tooling that a future team will scale on.

What You’ll Do

• Qualify and advance existing inbound pipeline; build net-new pipeline through outbound, network, and events
• Drive complex, multi-threaded sales cycles across Engineering, Data, Security, Procurement, and Executive stakeholders
• Close $150K–$500K+ ACV enterprise deals with consultative, multi-month sales cycles
• Lead discovery and commercial strategy; coordinate with FDE and founders on demos, POCs, and technical validation
• Translate platform capabilities into business and architectural value—frame the problem before pitching the solution
• Shape deal artifacts: pricing proposals, POC success criteria, ROI narratives, and procurement materials
• Define ICP, target account strategy, and outbound sequences based on early deal learnings
• Stand up CRM workflows, pipeline hygiene, and forecasting; document repeatable playbooks and competitive positioning
• Establish early customer references and momentum for future GTM scale

What We’re Looking For

• 6+ years of enterprise B2B software sales with a proven track record closing net-new logos
• Experience selling technical, platform-level products (data infrastructure, AI/ML, developer tools, or adjacent)
• Demonstrated ability to generate pipeline independently—not just work inbound leads passed from SDRs
• Comfort navigating ambiguous value propositions and long educational sales cycles in new or emerging categories
• Strong executive presence with the ability to lead multi-stakeholder sales conversations across technical and business audiences
• Experience with enterprise procurement, security reviews, and legal processes
• Bias toward ownership, resourcefulness, and action—thrives with minimal structure

Nice to Have

• Familiarity with enterprise AI, data infrastructure, knowledge graphs, or semantic layer concepts
• Experience as one of the first enterprise sellers at an early-stage startup, ideally building a category or GTM motion from scratch
• Prior SE, Solutions Architect, or technically adjacent background
• Existing buyer relationships in enterprise data, platform engineering, or AI/ML organizations

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. 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.