1 day ago
Responsibilities
- Lead customer discovery around data architectures, operational constraints, and AI agent opportunities.
- Scope and deliver proofs of value from requirements through technical validation and production deployment.
- Run technical demonstrations, address objections, and discuss architecture with engineering and business stakeholders.
- Conduct technical deep-dives with data platform, infrastructure, and executive teams.
- Develop reusable discovery frameworks, demo narratives, objection-handling approaches, and reference architectures.
- Translate customer requirements and edge cases into actionable feedback for product and engineering teams.
- Partner with machine learning and infrastructure teams to deliver customer deployments.
Requirements
- At least 5 years of professional experience, including 2 to 3 years in hands-on technical or data roles building systems.
- Demonstrated success 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 architectures.
- Experience with enterprise discovery, technical demos, security reviews, procurement, and multi-stakeholder buying processes.
- Working knowledge of production LLM and agentic systems, including their capabilities and limitations.
- Ability to use Python or SQL for customer-facing prototyping and structured engineering feedback.
- Willingness to travel regularly to customer sites across the UK and Europe.
- Experience with knowledge graphs, semantic layers, ontologies, entity resolution, regulated or air-gapped deployments, multilingual work, European markets, or startups is beneficial.
Benefits
- Hybrid role based in New York, United States.
- Regular travel to customer sites across the UK and Europe is required.
- Visa sponsorship is not available.