Job description
About the Role
Join an early-stage enterprise AI infrastructure company as the technical lead for customer engagements across Europe. You will work across product, sales, and engineering, helping enterprise teams move from initial technical discovery to production deployments of AI systems grounded in their data.
What You'll Do
Lead customer discovery to understand data architectures, operational constraints, and business needs.
Scope and deliver proofs of value from technical validation through production commitments.
Run demonstrations, explain architectural tradeoffs, and address technical objections with enterprise stakeholders.
Build reusable discovery frameworks, demo narratives, objection handling guidance, and reference architectures.
Translate customer requirements and edge cases into actionable product feedback for engineering.
Partner with machine learning and infrastructure teams to support deployments and deliver on customer commitments.
Travel regularly to customer sites across the UK and Europe.
What We're Looking For
At least 5 years of professional experience, including 2 to 3 years in a hands-on technical or data role.
A record of 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, demos, 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.
Comfort working in ambiguous, customer-facing environments; startup experience and multilingual skills are a plus.
Compensation & Benefits
Visa sponsorship is not available for this role.
Location
Hybrid, based in New York, United States, with regular travel to customer sites across the UK and Europe.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.