3 hours ago
Responsibilities
- Lead customer discovery covering data architecture, technical constraints, and business needs.
- Scope and deliver proofs of value from technical validation through production commitments.
- Run product demonstrations, address technical objections, and lead architecture discussions with senior stakeholders.
- Develop reusable discovery frameworks, demo narratives, objection-handling approaches, and reference architectures.
- Translate customer edge cases into actionable feedback for product and engineering teams.
- Partner with machine learning and infrastructure teams to deliver customer deployments.
- Navigate enterprise security reviews, procurement processes, and multi-stakeholder buying decisions.
Requirements
- At least 5 years of professional experience, including 2 to 3 years in a hands-on technical or data role.
- Track record of converting technical proofs of value into production commitments in enterprise B2B software.
- Strong knowledge of data warehouses, ETL/ELT pipelines, data governance, and enterprise data architecture.
- Working knowledge of production LLM and agentic systems, including their capabilities and limitations.
- Experience leading technical discovery, demonstrations, and end-to-end proofs of concept with enterprise stakeholders.
- Python or SQL skills sufficient to prototype with customers.
- Experience with knowledge graphs, semantic layers, ontologies, or entity resolution is a plus.
- Experience in regulated or air-gapped environments, data or AI infrastructure, or an early-stage company is valuable.
- Ability to travel regularly to customer sites across the UK and Europe.
Benefits
- Visa sponsorship is not available.
- Hybrid role based in New York.
- Regular travel to customer sites across the UK and Europe is required.