GTM Engineer

GTM Engineer Divisions Maintenance Group - 2.8 Cincinnati, OH Job Details Full-time 23 hours ago Benefits Caregiver leave Health insurance Dental insurance Paid time off Employee assistance program Vision insurance 401(k) matching Volunteer time off Qualifications Performance dashboard reports Data model design Dashboard development Computer science Power BI Data visualization software proficiency Data transformation pipeline development Computer Science Automation Data modeling projects Workflow management (operations management method) Technical documentation Data reporting Mid-level SQL Data quality management Zapier Salesforce Cloud Bachelor's degree Confluence Forecasting Technical writing Scalability CRM system proficiency Data validation Data analytics tools AI Cross-functional collaboration Bachelor's degree in computer science Communication skills Project stakeholder communication Python ChatGPT Generative AI Cross-functional communication Stakeholder management Database software proficiency

Full Job Description Title:

GTM Engineer Reports To:

Sr.

Manager, Business Intelligence Department:

Revenue Strategy and Planning Location:

Cincinnati, OH Position Status:

Salary Exempt About DMG:

Divisions Maintenance Group provides facility maintenance services to retail chains and distribution and fulfillment centers across the country. We are leading the way with our technology, creating world-class products that are revolutionizing the industry and fulfilling our brand promise of "Uninterrupted Peace of Mind." DMG is a Certified Great Place to Work with a strong, inclusive culture and top-notch benefits.

Job Summary:

The GTM Engineer will join the Business Intelligence team within the Revenue Strategy & Planning organization. This role sits at the intersection of data engineering, analytics, and go-to-market operations, partnering closely with Sales, RevOps, and Finance to reduce friction across the revenue lifecycle. The GTM Engineer will focus on building scalable data models, analytics, dashboards, and AI-assisted workflows that improve visibility, reduce manual effort, and accelerate decision-making for GTM teams. This is not a pure data scientist role and not a deep platform engineering role. It is designed for a technically strong, early- to mid-career engineer or senior analyst with a computer science or data engineering background who can own problems end-to-end and communicate effectively with business stakeholders.

What You'll Do:

GTM Analytics & Engineering Build and maintain data pipelines, transformations, and analytical models supporting Sales, Marketing, and Revenue Operations. Design and deliver dashboards, KPIs, and self-service analytics used by GTM leaders and frontline teams. Ensure data quality, consistency, and documentation across BI and GTM data assets. Support pipeline health, performance tracking, forecasting inputs, and funnel analysis. Analyze historical deal and pricing data to identify patterns, risks, and opportunities that inform pricing strategy. Support pricing workflows by improving data completeness, validation checks, and standardized inputs (without owning CPQ or pricing systems). GTM Workflow Enablement & Automation Identify high-friction GTM workflows and partner with stakeholders to improve them using data, low-code automation, and AI-assisted tooling. Use AI tools (e.g., ChatGPT, Claude) to accelerate: Analysis and reporting, drafting GTM artifacts (summaries, insights, templates), and prototyping lightweight automation and validation checks. Leverage low-code automation tools (e.g., Zapier or similar) to streamline repetitive GTM workflows where appropriate. Build repeatable, governed processes rather than one-off analyses. Clearly document workflows, logic, and outcomes in Confluence, and communicate changes effectively to both technical and non-technical stakeholders. Instrument outputs so impact can be measured (time saved, adoption, performance lift). Cross-Functional Partnership Translate business questions into clear technical solutions. Communicate insights and tradeoffs to non-technical stakeholders. Other Other duties as assigned by management.

What You Need:

Bachelor's degree in Computer Science, Data Engineering, Analytics, or a related technical field. Strong SQL skills and experience working with structured datasets. Working knowledge of Python (or similar) for data transformation and automation. Familiarity with data modeling, ETL/ELT concepts, and modern analytics workflows. Experience building dashboards or reports in Power BI (or similar BI tools). Strong communication skills and comfort working directly with GTM stakeholders. Ability to clearly document technical work and workflows for both technical and non-technical audiences. Interest in go-to-market strategy, sales operations, and revenue analytics. Comfort using AI tools to accelerate coding, analysis, and problem-solving. Proactive, ownership-oriented mindset. Salesforce exposure (admin, reporting, or analytics), but not deep platform engineering. Ability to manage the stress of a fast-paced environment. Ability to meet the in-person requirements of the team and/or business needs.

What You'll Get:

At DMG, you'll be part of an amazing team that encourages learning, growth, and advancement. Our company has an entrepreneurial spirit that rewards self-starters and encourages employees to take charge of their own careers. Some of our many benefits include: Health, dental and vision coverage on day 1. Dollar-for-dollar 401K match up to 4% of salary with immediate 100% vesting. Paid Primary and Secondary Caregiver leave. Employee Assistance Program to assist with everyday challenges. Paid time off to volunteer. Divisions Maintenance Group is an equal opportunity employer.