Dynatron Software, Inc.

Sales

• Lead revenue generation and market expansion efforts across Michigan, achieving or exceeding monthly and annual sales targets.
• Manage all aspects of the sales process, from prospecting and pipeline development to contract negotiation and close, including direct sales, upsells, group deals, and partner sales.
• Develop and execute a regional business plan grounded in data, local market insights, and dealership relationships.
• Engage directly with dealership decision-makers, conducting multiple in-person visits, and holding qualified meetings daily to uncover opportunities and present tailored Dynatron solutions.
• Maintain a disciplined approach to pipeline management using SugarCRM. Ensure all activities, opportunities, and communications are accurately documented.
• Partner closely with Sales Leadership, Marketing, and Enablement to align strategies, share insights, and execute go-to-market initiatives.
• Represent Dynatron’s Core Values of Urgency, Results, Accountability, Positivity, and Success-Driven Excellence in every interaction with clients, partners, and peers.

Regional Sales Manager

SDET

• Design, develop, and maintain automated test frameworks for data pipelines and ETL workflows.
• Build reusable test components for Snowflake, Databricks, ADF, Airflow, streaming pipelines, and more.
• Automate schema validation, regression testing, backfill testing, and data contract checks.
• Implement automated monitors for stream quality, lag, CDC correctness, and consistency.
• Create, execute, and maintain detailed test cases, test plans, and regression suites for data enhancements.
• Validate data accuracy, completeness, and integrity across ingestion, transformation, and downstream layers.
• Develop SQL-based validation scripts to compare source vs. target datasets.
• Perform root-cause analysis for data inconsistencies and work closely with engineering teams to resolve issues.
• Partner with Data Engineers, Analysts, and Product teams to understand transformation logic and business rules.
• Participate in sprint ceremonies including requirement reviews, estimations, and deployment validations.
• Monitor pipeline execution, identify defects early, and verify fixes through structured retesting.
• Drive QA best practices across multiple data environments.

Regional Sales Manager

QA Automation Engineer, Data