3 days ago
Responsibilities
- Lead customer discovery to understand data architectures, technical constraints, and business needs.
- Scope and deliver proofs of value from technical validation through production commitments.
- Run demos, address technical objections, and lead architecture discussions with enterprise stakeholders and senior engineers.
- Develop reusable discovery frameworks, demo narratives, objection-handling materials, and reference architectures.
- Translate customer constraints and edge cases into actionable product feedback for engineering teams.
- Partner with machine learning and infrastructure teams to deliver customer 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 a hands-on technical or data role.
- Track record of converting technical proofs of value into production commitments in enterprise B2B software.
- Strong working knowledge of data warehouses, ETL and ELT pipelines, and data governance.
- Experience with enterprise technical discovery, demos, procurement, security reviews, and multi-stakeholder buying processes.
- Working knowledge of production LLM and agentic systems, including their capabilities and limitations.
- Experience owning end-to-end proofs of concept and communicating structured product feedback to engineering teams.
- Python or SQL skills sufficient to prototype with customers.
- Knowledge of graphs, semantic layers, ontologies, or entity resolution is valuable.
- Experience in regulated or air-gapped environments, European markets, or an early-stage data or AI company is a plus.
Benefits
- Hybrid work in New York City.
- Regular travel to customer sites across the UK and Europe.
- Visa sponsorship is not available.