Director, Field Engineering

Ready to shape the future of data?

Matillion is the intelligent data integration platform.

We're changing how the world works with data – and we need driven, curious people who think big and move fast.

We built the Data Productivity Cloud to supercharge data productivity, and now we’re shaping the future of data engineering with Maia – our AI-powered virtual data engineers that help teams design, build, and manage data pipelines at unmatched speed.

Join #Team Green, where the mission comes first, collaboration drives us forward, and everyone pulls in the same direction to make a dent in the universe bigger than ourselves.

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.

• 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, Big Query), and AI tooling
• Translate product roadmap into customer-facing value; influence product direction with field feedback

At Matillion, we are committed to providing competitive compensation in line with market standards based on the role, job family, job level, and country. This exempt role’s estimated annual salaried pay range for this position is $168,000 - $252,000. Because this role is eligible for variable pay in the form of sales commissions, your total on-target annual earnings will be between $240,000 - $360,000.

The final salary will be based on your relevant skills, experience, and qualifications demonstrated in the hiring process.

At Matillion, we’re here to do something hard - change the way the world works with data, and build a great company along the way. Big, bold goals aren’t for the faint-hearted, and we don’t shy away from them. But we don’t do it alone. No egos, no politics - just great people working together, guided by our six core values;

• Confidence without arrogance
• Working with integrity
• Customer obsessed
• Innovate and demand quality
• Bias for action
• We care

We operate a flexible working culture that promotes work-life balance, with benefits including:

• Company Equity
• 25 days PTO
• 5 days paid volunteering leave
• Health insurance
• Life insurance
• 401K
• Access to mental health support

Thousands of enterprises including Cisco, London Stock Exchange Group, EDF and Slack trust Matillion for a wide range of use cases from insights and operational analytics, to data science, machine learning and AI. We are a truly global workforce, dual headquartered in Manchester,…