3 days ago
Responsibilities
- Lead customer discovery to understand data architectures, operational constraints, and business needs.
- Scope and deliver technical proofs of value through production adoption plans and commitments.
- Run product demonstrations, address technical objections, and guide architecture discussions with senior stakeholders.
- Create repeatable pre-sales materials, discovery frameworks, and reference architectures.
- Translate customer requirements and edge cases into product and engineering feedback.
- 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 building or delivering technical data systems.
- Experience in forward-deployed engineering, solutions architecture, deployment strategy, or customer-facing data and AI delivery.
- A track record of taking enterprise proofs of value through production commitments, including procurement and security reviews.
- Strong knowledge of modern data stacks, including warehouses, ETL/ELT pipelines, and data governance.
- Production experience with LLM or agentic systems and sound judgment about their capabilities and limitations.
- Experience leading technical discovery and demos with enterprise stakeholders and translating customer constraints into product feedback.
- Python or SQL skills sufficient to prototype customer solutions.
- Knowledge of knowledge graphs, semantic layers, ontologies, or entity resolution is beneficial.
- Experience in regulated or air-gapped environments, European markets, or early-stage companies is valuable.
Benefits
- Hybrid role based in New York, New York.
- Regular travel to customer sites across the UK and Europe.
- Visa sponsorship is not available.