Dynatron Software, Inc.

• Manage inbound phone calls, emails, and support cases • Investigate customer issues and provide technical assistance • Document troubleshooting steps and ensure customer issues are resolved • Collaborate with teammates for complex customer issues

• Drive Regional Growth: Lead revenue generation and market expansion efforts across Minnesota, achieving or exceeding monthly and annual sales targets. • Full Sales Ownership: 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. • Territory Strategy & Execution: Develop and execute a regional business plan grounded in data, local market insights, and dealership relationships. • Leverage mapping and planning tools to maximize in-market efficiency and impact. • Dealer Engagement: Engage directly with dealership decision-makers, conducting multiple in-person visits, and holding qualified meetings daily to uncover opportunities and present tailored Dynatron solutions. • Pipeline & CRM Excellence: Maintain a disciplined approach to pipeline management using SugarCRM. Ensure all activities, opportunities, and communications are accurately documented. • Collaboration & Communication: Partner closely with Sales Leadership, Marketing, and Enablement to align strategies, share insights, and execute go-to-market initiatives. • Participate in weekly team huddles, sales meetings, and ongoing Allego training sessions to continuously sharpen your skills. • Team & Culture Champion: Represent Dynatron’s Core Values of Urgency, Results, Accountability, Positivity, and Success-Driven Excellence in every interaction with clients, partners, and peers.

• Drive Regional Growth: Lead revenue generation and market expansion efforts across Minnesota, achieving or exceeding monthly and annual sales targets. • Full Sales Ownership: 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. • Territory Strategy & Execution: Develop and execute a regional business plan grounded in data, local market insights, and dealership relationships. • Leverage mapping and planning tools to maximize in-market efficiency and impact. • Dealer Engagement: Engage directly with dealership decision-makers, conducting multiple in-person visits, and holding qualified meetings daily to uncover opportunities and present tailored Dynatron solutions. • Pipeline & CRM Excellence: Maintain a disciplined approach to pipeline management using SugarCRM. Ensure all activities, opportunities, and communications are accurately documented. • Collaboration & Communication: Partner closely with Sales Leadership, Marketing, and Enablement to align strategies, share insights, and execute go-to-market initiatives. Participate in weekly team huddles, sales meetings, and ongoing Allego training sessions to continuously sharpen your skills. • Team & Culture Champion: Represent Dynatron’s Core Values of Urgency, Results, Accountability, Positivity, and Success-Driven Excellence in every interaction with clients, partners, and peers.

• Own the end-to-end dunning and collections lifecycle across assigned customer accounts. • Drive a structured, escalating outreach cadence across email, phone, and portal channels to recover past-due and stuck balances. • Prioritize AR aging by cash-at-risk, account status, age of balance, and root cause. • Maintain professional, firm, and customer-aware communication throughout the collections process. • Investigate and clear the root causes behind stuck cash, including unapplied and misapplied payments, short-pays, billing disputes, credit holds, and unattached or orphaned receivable entries. • Reconcile customer accounts and match payments to open invoices in NetSuite. • Identify patterns in past-due balances and recommend corrective actions to prevent recurring issues. • Partner with Billing, Sales, Customer Success, and Cash Application to resolve disputes quickly and remove payment roadblocks. • Build, maintain, and report on collections KPIs, including DSO, aging bucket movement, cash collected versus target, and dispute resolution cycle time. • Develop, document, and maintain collections SOPs, dunning workflows, and escalation procedures.

• Own and maintain the data product backlog—writing, refining, and prioritizing user stories, epics, and technical tasks across data ingestion, transformation, APIs, and integrations • Lead sprint planning, backlog grooming, and sprint reviews in close partnership with Engineering and Data teams • Manage dependencies, track delivery progress, and proactively surface blockers or risks to stakeholders • Partner with Product leadership to shape and maintain the roadmap for Dynatron’s enterprise data platform, ensuring alignment with company objectives and long-term product direction • Prioritize initiatives across ingestion, transformation, categorization, storage, governance, and data delivery based on business value and strategic impact • Partner with Product Managers across all product lines to ensure products have the data sources, integrations, and intelligence needed to meet roadmap goals and customer needs • Own all third-party data integrations and API partnerships, including evaluation, prioritization, implementation coordination, and ongoing optimization • Collaborate with Analytics, Data Science, and AI teams to surface KPIs, benchmarks, predictive capabilities, and intelligent automation opportunities • Support go-to-market readiness for data-driven features and platform enhancements.

• Responsible for transforming raw data into clean, reliable, and well-documented models that power analytics. • Design, build, and maintain transformation layers in dbt, following best practices for data modeling. • Own the semantic and metrics layer, defining governed, version-controlled business metrics. • Partner with BI developers to expose trusted datasets through BI tools. • Build and maintain documentation, data dictionaries, and lineage for stakeholders. • Own end-to-end data validation by building automated tests into the transformation workflow. • Collaborate on operationalizing analytics within services such as Snowflake Cortex and Databricks AI. • Mentor junior analysts and engineers in SQL and dbt best practices.

• Build and maintain complex data pipelines using AWS Glue, Step Functions, or Databricks Workflows. • Implement modular data structures using advanced modeling techniques. • Manage scalable data storage solutions using AWS S3 as the primary landing zone. • Optimize storage formats and compute performance to ensure high-throughput processing. • Build decoupled, event-driven architectures using AWS SNS and SQS. • Develop and deploy real-time ingestion pipelines using AWS Kinesis or Kafka. • Own end-to-end data validation and QA by building automated data quality checks. • Engineer ML-ready datasets and manage Feature Stores to support the Data Science team. • Mentor junior engineers in coding best practices, SQL optimization, and Python development.

• Own and evolve the product vision, strategy, and roadmap for MarketSmart • Define clear priorities and success metrics to guide roadmap decisions • Lead ongoing product discovery to understand customer workflows and pain points • Translate customer, market, and performance insights into product requirements • Collaborate with Engineering and Product Design to define and deliver solutions • Analyze product usage data, campaign performance metrics, and customer feedback • Lead validation efforts including beta programs, usability testing, and post-launch feedback

• 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.

• Own the data platform roadmap. • Prioritize and manage initiatives for ingestion, transformation, categorization, storage, and delivery of data to downstream systems and products. • Manage vendor relationships. • Evaluate, negotiate, and oversee external data partnerships, ensuring quality, cost-effectiveness, and compliance • Lead internal data initiatives and guide the Data team in building categorization logic, enrichment pipelines, and insights layers to support reporting, analytics, and product functionality. • Define and document product requirements for data feeds, APIs, schemas, and reporting layers that will power customer facing applications • Partner with Engineering and Data teams to ensure robust architecture, scalability, and high quality data availability across products • Drive insight generation and collaborate with Data Science and Analytics teams to surface KPIs, benchmarks, and predictive capabilities that improve client outcomes. • Champion data quality and governance by setting standards for accuracy, consistency, and transparency across datasets. • Translate business needs into data capabilities, ensuring customer requirements are met with clear, actionable use cases. • Support go-to-market readiness by enabling Marketing, Sales, and Client Success with the right narratives, use cases, and enablement tools around data driven features. • Evaluate new data opportunities and identify emerging data sources, licensing models, and enrichment services that can expand product capabilities.