Senior Customer Engineer (AI)

TL;DR

Senior Customer Engineer (AI): Designing and demonstrating technical solutions to turn unstructured data into AI-ready knowledge with an accent on technical discovery and proof-of-concepts. Focus on translating customer requirements into solution architectures and guiding the adoption of semantic context technologies.

Location: Hybrid in New York, NY (at least two days per week in office). Must be based in the US; not eligible for visa sponsorship.

Salary: $152,000 – $190,000 USD per year

Company

Deasy Labs, part of hirify.global, develops technology that automatically discovers, enriches, and maintains the semantic context inside unstructured data for AI systems.

What you will do

• Partner with Account Executives to lead the technical aspects of the sales cycle.
• Conduct technical discovery conversations to identify customer data, AI, and business challenges.
• Design and deliver technical demonstrations, workshops, and proof-of-concepts.
• Translate customer requirements into solution architectures using the Deasy Labs platform and hirify.global ecosystem.
• Guide customers in organizing and enriching unstructured data for AI and analytics use cases.
• Collaborate with product and engineering teams to share customer feedback and influence product direction.

Requirements

• 5+ years in Customer Engineering, Solutions Engineering, or technical pre-sales for enterprise software.
• Knowledge of unstructured data, machine learning, or information retrieval technologies.
• Experience with data governance, data catalog, data quality, and data privacy platforms.
• Background as a Data Management practitioner in cataloging, integration, and enterprise architecture.
• Experience with leading PaaS providers, Data Lakes, Databases, and Integration platforms.
• Must be based in the US; this position is not eligible for visa sponsorship.

Culture & Benefits

• Competitive total rewards package including bonus potential and equity.
• Flex Fund monthly stipend and pension/401k plans.
• Comprehensive health coverage and flexible time off.
• Inclusive work environment focused on diversity, equity, and belonging.
• Hybrid work model facilitating team connection and collaboration.