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Lead production-focused AI and machine learning development across classification, prediction, generative AI, LLM, and agentic use cases. Own modeling, evaluation, deployment, monitoring, and lifecycle improvement for customer-facing capabilities. Partner with Product, Engineering, Data Engineering, and MLOps to assess feasibility, prioritize opportunities, establish evaluation standards, and translate complex automotive data into reliable, scalable AI products. The role also provides technical leadership and product judgment without direct people-management responsibility.

Own daily accounts receivable inbox triage, apply incoming payments, resolve discrepancies, reconcile cash, maintain customer records, prepare journal entries, support month-end reconciliations, and improve AR workflows in NetSuite. The role also provides reporting and broader accounting support in a remote SaaS environment.

Lead Enterprise Client Success for Dynatron's largest customers, owning GRR/NRR, building strategy and playbooks, developing a high-performing team, driving adoption and expansion using data, and partnering cross-functionally to deliver measurable customer value and predictable revenue outcomes.

Lead design, build, and operate scalable AWS-based data pipelines and real-time ingestion for analytics and ML. Implement data modeling, automated validation, observability, and event-driven architectures; mentor engineers and collaborate with Product and ML teams to productionize feature stores and ML-ready datasets.