Jobs at Dynatron Software

Build and maintain scalable AWS data pipelines, lakehouse storage, real-time streaming and CDC ingestion systems. Own automated data quality, validation, observability, schema evolution, and QA. Engineer ML-ready datasets and feature stores, operationalize AI workflows, optimize distributed processing, and mentor junior engineers while collaborating with Product, ML, Analytics, and Engineering teams.

Leads regional sales growth across automotive dealerships by owning territory strategy, prospecting, pipeline development, presentations, negotiations, closing, upsells, and partner sales. Builds relationships with dealership decision-makers, conducts in-person field meetings, maintains CRM data, and collaborates with sales, marketing, and enablement teams. Requires automotive fixed-operations expertise, territory sales success, strong communication, organization, and proficiency with CRM and sales technology.

Build, optimize, and maintain scalable AWS-based data pipelines and data lakes (Snowflake/Databricks). Implement streaming ingestion (Kinesis/Kafka), CDC, automated data quality checks, and ML-ready feature stores. Collaborate with Product, ML, and Analytics teams, own pipeline QA, observability, and participate in on-call rotations to resolve production data issues.

Own regional sales growth across Tennessee, Kentucky, and West Virginia by developing territory strategy, generating pipeline, managing the full sales cycle, expanding customer relationships, and closing dealership business. The role requires frequent dealer engagement, CRM discipline, cross-functional collaboration, and strong knowledge of automotive fixed operations.

Owns cross-sell and upsell revenue for MarketSmart products across existing Dynatron customers in the Central United States. Responsibilities include territory planning, independent prospecting, pipeline generation, consultative selling, product demonstrations, negotiations, closing, forecasting, CRM compliance, and relationship management with automotive dealership decision-makers. The role is quota-carrying, remote-first, and requires collaboration with Customer Success, Sales Operations, and other internal teams.

Build and lead scalable enablement programs for Client Success teams, including onboarding, ongoing development, product adoption, CRM and Customer Success platform rollouts, coaching, and change management. Assess skill gaps, design learning experiences, partner with leadership and Operations, and measure impact through employee readiness, ramp time, system usage, retention, renewals, expansion, and customer outcomes.

Own the production lifecycle for traditional ML and generative AI systems, including deployment pipelines, model registries, monitoring, retraining, governance, and incident response. Build reliable AWS-based infrastructure for LLM and agentic applications, establish observability and cost controls, and create operational standards, runbooks, and documentation. Partner with U.S.-based Data Science, Data Engineering, and Product teams while independently managing production workloads during India operating hours.