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We're building something that doesn't exist anywhere else: the first true agentic AI solution for data teams. And we need someone to lead the technical engine that turns curiosity into contracts. As Director of Field Engineering, you'll lead a team of Solution Architects who do one thing exceptionally well—show customers exactly how Matillion eliminates the data bottlenecks stalling their AI projects. We're talking 40 hours of data engineering collapsed into one hour. That's not marketing speak. That's what we deliver. Your job? Build a Field Engineering function that operates at speed, scales with our explosive growth trajectory, and turns technical conversations into commercial wins. You're not just translating features—you're translating business outcomes. You're showing the C-suite why data bottlenecks are killing their AI ROI, and how we fix it.
Job Responsibility:
Lead a team of Solution Architects who show customers exactly how Matillion eliminates the data bottlenecks stalling their AI projects
Build a Field Engineering function that operates at speed, scales with explosive growth trajectory, and turns technical conversations into commercial wins
Translate business outcomes
Show the C-suite why data bottlenecks are killing their AI ROI, and how we fix it
Requirements:
Build, lead, and scale a team of Solution Architects across North America Sales
Set standards, own performance reviews, and drive promotions and comp decisions
Create a culture of accountability, customer obsession, and high technical/commercial performance
Scale team capacity in lockstep with regional growth and Sales coverage needs
Partner with Sales leadership on go-to-market coverage, territory design, and resource allocation
Lead technical win strategies for strategic accounts and complex deals—early cycle engagement required
Drive technical qualification, discovery, solution design, and proof-of-value
Track and improve: win rate, sales cycle length, technical close rate, customer satisfaction
Define Matillion's technical narrative—AI/ML use cases, data transformation, and business outcomes
Ensure architects articulate how Matillion enables AI readiness, governance, and modern data architectures
Stay ahead on competitive landscape, cloud platforms (Snowflake, Databricks, Redshift, BigQuery), and AI tooling
Translate product roadmap into customer-facing value