14 hours ago
Responsibilities
- Lead customer discovery covering data architectures, operating constraints, and deployment requirements.
- Scope and deliver proofs of value from technical validation through production commitments.
- Run product demonstrations, address technical objections, and discuss architecture with senior engineering and business stakeholders.
- Create repeatable materials and approaches for discovery, demonstrations, objection handling, and reference architectures.
- Translate customer edge cases and technical constraints into actionable product feedback for engineering.
- Partner with machine learning and infrastructure teams to deliver customer-aligned deployments.
- Travel regularly to customer sites across the UK and Europe.
Requirements
- At least 5 years of professional experience, including 2 to 3 years in hands-on engineering or data work.
- Demonstrated success personally converting enterprise B2B software proofs of value into production commitments.
- Experience with procurement, security reviews, and multi-stakeholder enterprise buying processes.
- Strong knowledge of data warehouses, ETL or ELT pipelines, and enterprise data governance.
- Experience leading technical discovery and demonstrations with enterprise stakeholders and delivering proofs of concept through production deployment.
- Working knowledge of production LLM and agentic systems, including their capabilities and limitations.
- Ability to prototype with Python or SQL and communicate customer needs clearly to engineering teams.
- Valuable experience with knowledge graphs, semantic layers, ontologies, entity resolution, regulated or air-gapped deployments, or multiple European markets.
- Comfort with ambiguity and startup environments; multilingual ability is a plus.
Benefits
- Hybrid role based in New York, United States.
- Regular travel to customer sites across the UK and Europe.