9 hours ago
Responsibilities
- Lead customer discovery around data architectures, operational constraints, and business needs.
- Scope and deliver proofs of value from technical validation through production deployment commitments.
- Run technical demonstrations, explain architectural tradeoffs, and address enterprise stakeholder objections.
- Create reusable discovery frameworks, demo narratives, objection-handling guidance, and reference architectures.
- Translate customer requirements and edge cases into actionable product feedback for engineering teams.
- Partner with machine learning and infrastructure teams to support deployments and customer commitments.
- Travel regularly to customer sites across the UK and Europe.
Requirements
- At least 5 years of professional experience, including 2 to 3 years in a hands-on technical or data role.
- Demonstrated success converting technical proofs of value into production deployments in enterprise B2B software.
- Strong knowledge of data warehouses, ETL/ELT pipelines, data governance, and enterprise data architectures.
- Working knowledge of production LLM and agentic systems, including their capabilities and limitations.
- Experience leading technical discovery, demonstrations, proofs of concept, security reviews, and multi-stakeholder enterprise buying processes.
- Ability to prototype for customers using Python or SQL and communicate technical feedback clearly to engineering teams.
- Experience with regulated or air-gapped deployments, knowledge graphs, semantic layers, ontologies, or entity resolution is valuable.
- Startup experience and multilingual skills are a plus.
- Comfort working in ambiguous, customer-facing environments.
Benefits
- Hybrid role based in New York, United States.
- Regular travel to customer sites across the UK and Europe.
- Visa sponsorship is not available for this role.