Dynatron Software, Inc.

Director

• Own and execute Dynatron’s data strategy and roadmap aligned to company and product priorities.
• Lead, mentor, and scale high-performing teams across Data Engineering, Analytics, and Data Science.
• Ensure data initiatives are delivered on time, within scope, and with high quality.
• Act as a trusted partner to Product and Engineering.
• Own data governance, quality, privacy, and compliance outcomes across the organization.

Senior Director of Data

Solutions Engineer

• Participate in the evaluation and selection of an iPaaS platform that best supports Dynatron’s current and future integration needs
• Lead the technical architecture and implementation of the selected iPaaS solution
• Establish integration standards, patterns, and best practices
• Design, build, and maintain scalable and secure integration workflows connecting enterprise systems such as CRM, ERP, HR, and customer platforms
• Develop integration processes to synchronize data across systems
• Implement robust data transformations and mappings to ensure consistency and accuracy across systems
• Build automated workflows supporting employee onboarding and offboarding by integrating HR systems with downstream applications
• Enable 360-degree customer visibility by connecting decentralized Sales, Services, Customer Success, Customer Support, and Finance systems
• Design and manage REST and SOAP APIs across internal and third-party systems
• Proactively monitor integration health and performance
• Produce clear technical documentation, diagrams, and runbooks for integrations
• Communicate effectively with both technical and non-technical stakeholders
• Collaborate closely with Engineering, Product, Sales, Finance, HR, Customer Success, and IT teams.

iPaaS Integration Engineer

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
• Create documentation, reusable assets, and frameworks that elevate overall data quality discipline

QA Automation Engineer, Data

Business Development Rep

• Lead, manage, and develop a high-performance territory-based team of 10+ Sales Development Representatives
• Set clear activity, metrics, quality, and pipeline generation expectations
• Conduct regular 1:1s, call coaching, deal qualification reviews, and performance feedback
• Own team pipeline and meeting-booked targets, ensure consistent qualification and seamless handoff of opportunities to Regional Sales Executives
• Drive follow-up and conversion of inbound marketing-qualified leads (MQLs)
• Monitor and improve key funnel metrics (speed-to-lead, connect rates, conversion rates)

Director, BDR

Product Manager

• Own and evolve the product vision, strategy, and roadmap for FileSmart and Pay Plans
• Lead product discovery for assigned initiatives through customer interviews and usability testing
• Drive the evolution and improvement of existing products in partnership with Product Design
• Partner with Engineering and Product Owners to support backlog prioritization and delivery sequencing
• Analyze product usage data, customer feedback, and market signals for optimization
• Lead and contribute to Go-To-Market readiness for new features and major releases
• Serve as the product subject matter expert and internal voice for assigned functionality

• Partner closely with Product Management to translate product vision, strategy, and roadmap initiatives into a well-defined, actionable backlog
• Own backlog prioritization to ensure work is aligned to business goals, customer value, and strategic outcomes
• Write clear, concise user stories with well-defined, testable acceptance criteria that meet the Definition of Ready
• Continuously refine and groom the backlog to maintain clarity, focus, and delivery momentum
• Serve as the primary Product Owner for a dedicated Scrum team, actively participating in all Agile ceremonies including Sprint Planning, Daily Standups, Reviews, and Retrospectives
• Set clear sprint goals and collaborate with engineering to balance scope, capacity, and delivery commitments
• Partner with QA to ensure acceptance criteria are testable and that adequate regression coverage exists for core workflows
• Make informed prioritization decisions to ensure engineering effort is focused on the highest-impact work
• Work closely with Scrum Masters and Engineering to remove blockers, manage scope, and address production issues as they arise
• Identify and manage dependencies across teams, collaborating with other Product Owners as priorities or constraints evolve
• Provide clear, consistent updates on delivery progress, milestones, and risks to stakeholders at varying levels of detail
• Proactively communicate trade-offs, delivery risks, and changes in priorities to maintain trust and alignment
• Act as a reliable execution partner, consistently delivering on commitments while maintaining transparency when challenges arise.