2 hours ago
Responsibilities
- Explore customer data architectures and constraints and explain how AI agents can use enterprise data effectively.
- Scope and deliver proofs of value from discovery and technical validation through production commitments.
- Lead product demonstrations, address technical objections, and discuss architecture with senior engineers and technology leaders.
- Run technical discovery sessions with data platform, infrastructure, and executive stakeholders across European markets.
- Create reusable pre-sales materials, including discovery frameworks, demo narratives, 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.
Requirements
- At least 5 years of professional experience, including 2 to 3 years building software or data systems in a hands-on technical role.
- Experience in forward-deployed engineering, deployment strategy, solutions architecture, or customer-facing data and AI delivery.
- Demonstrated ability to take enterprise technical proofs of value into production commitments, including procurement, security reviews, and multi-stakeholder buying processes.
- Strong knowledge of modern data platforms, warehouses, ETL/ELT pipelines, and data governance.
- Working knowledge of production LLM and agentic systems and their capabilities and limitations.
- Proficiency in Python or SQL for customer-facing prototyping and translating technical needs into product feedback.
- Helpful experience with knowledge graphs, semantic layers, ontologies, or entity resolution.
- Valuable experience with regulated or air-gapped deployments, startup environments, or multilingual and cross-European customer work.
- Willingness to travel regularly to customer sites across the UK and Europe.
Benefits
- Hybrid role based in New York, United States.
- Regular travel to customer sites across the UK and Europe.
- Visa sponsorship is not available.
