Director of Software Engineering

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Datacor, Inc.

WebsiteLinkedInAll Job Openings

201 - 500 employees

🍽️ Food & Beverage

🏭 Manufacturing

☁️ SaaS

Food & Beverage • Manufacturing • SaaS

Datacor, Inc. is a leading provider of advanced process manufacturing software, offering integrated ERP and CRM solutions to maximize productivity and business growth. Their software solutions cater to the chemical, food & beverage, personal care, industrial, coatings & adhesives, and animal feed & pet food nutrition industries. Datacor provides industry-specific, configurable technology to enhance operational visibility and control, helping businesses manage complex pricing, formulas, and specifications while complying with government regulations. With a strong reputation as industry experts, Datacor is recognized for its robust support during software implementation and ongoing customer collaboration, particularly excelling in chemical distribution software.

📋 Description

• Lead and manage software development teams across CHEMCAD, Flow Simulation, and GoldSim product lines • Establish and continuously improve development practices, including version control, code reviews, automated testing, CI/CD, and agile processes • Own DESG's internal AI adoption strategy and define criteria for adopting AI-assisted development tools and workflows • Champion an AI-first, growth mindset and encourage experimentation and continuous learning • Drive measurable improvements in throughput, release cadence, and quality using engineering metrics • Partner with Product Management and R&D leadership to execute roadmap priorities and customer deliverables • Define and lead the product AI strategy, identifying and delivering AI-powered capabilities across product families • Identify technical debt and architectural risk, and make decisions on remediation, refactoring, or re-platforming • Mentor, coach, and grow engineers, especially team leads into independent people leaders • Uphold a high hiring bar and participate in key interview loops • Foster a collaborative, engineering-first culture • Own long-term architectural vision for the platforms, focusing on scalability, maintainability, and performance • Build engineering standards, onboarding practices, and integration playbooks for future acquisitions • Collaborate with other Datacor units to promote shared learning, tools, and process maturity • Ensure technical communication and knowledge sharing across geographically distributed teams • Build succession planning, internal mobility paths, and future engineering leadership

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field • 7+ years of experience in software development, including 3+ years in engineering management or technical leadership • Track record operating at a Director level of scope, building team structure, engineering strategy, and roadmap direction • Demonstrated experience improving legacy development environments and guiding teams through modernization • Strong understanding of modern software architecture principles, including modularization, service decomposition, and interface design • Familiarity with Microsoft-based ecosystems such as .NET, C++, and VB.NET, with ability to hold technical discussions regardless of stack • Proven success introducing or evolving Agile practices in teams with limited historical process • Excellent communication, leadership, and collaboration skills when aligning with Product and R&D counterparts • Experience scaling engineering teams and delivering commercial desktop or simulation software is a strong plus • Exposure to simulation or scientific modeling in chemical or mechanical engineering domains • Experience with Git-based workflows, branching strategies, and DevOps automation • Familiarity with Jira, Notion, and Nave or other Agile metrics platforms • Experience building engineering practices and playbooks across acquired products or teams • Experience managing remote teams, including international teams • Background managing cross-functional or multidisciplinary engineering teams