Solutions Architect, Customer Success - Canada (Remote)

Masters with no experience or Bachelors in Computer Science (AI/ML), Statistics, Mathematics, or equivalent. 7+ years of experience. 2+ years of real-world experience working with ML models in production. Familiarity with Kubernetes in public cloud environments (AWS, Azure, GCP). Knowledge of data science concepts. Working knowledge of tools for structured and unstructured data, messaging, and workflow tools at scale (e.g., Hadoop, Snowflake, Kafka, Airflow, MLFlow). Knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Understanding of ML/DS concepts and model lifecycle. Understanding of Generative AI and Large Language Models. Strong coding skills, preferably in Python. Experience with industrial deep learning applications (Computer Vision, NLP, Speech-to-Text) is a plus. Excellent organizational, communication, writing, and interpersonal skills. Curiosity, ownership, empathy, willingness to learn, and desire to inspire.

Act as a trusted advisor to customers. Build relationships with technical stakeholders. Assist with Fiddler onboarding services for new customers. Educate customers on product roadmap and manage escalations. Become a Fiddler AI Observability product specialist. Write custom code to integrate with customer data pipelines. Develop Fiddler platform integrations. Spearhead new opportunities to drive renewals and expansion.