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Solutions Architect, Customer Success
4 weeks ago
Solutions Architect, Customer Success (Canada) At Fiddler, we understand the implications of AI and the impact that it has on human lives. Our company was born with the mission of building trust into AI. The rise of Generative AI and agents has unlocked generalized intelligence but also widened the risk aperture and made it harder to ensure that AI applications are working well. Fiddler enables organizations to get ahead of these issues by helping deploy trustworthy and transparent AI solutions. Fiddler partners with AI-first organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. AI engineers, data science, and business teams use Fiddler AI to monitor, evaluate, secure, analyze, and improve their AI solutions to drive better outcomes. Our platform enables engineering teams and business stakeholders alike to understand the “what”, “why”, and “also why” behind AI outcomes. As a Solutions Architect, Customer Success at Fiddler, your mission is to ensure our customers achieve meaningful, measurable outcomes from their AI observability investments. You serve as both a technical expert and trusted advisor, bridging the gap between complex ML/LLM systems and real‑world business value. By guiding customers through onboarding, building seamless integrations, and championing their needs across the organization, you help them operationalize trustworthy AI at scale while fueling Fiddler’s growth through successful adoption, renewals, and expansion. What You’ll Do: Drive successful onboarding experiences. Partner closely with a Fiddler Delivery Manager to architect and implement onboarding solutions, aligning customer goals with Fiddler’s capabilities and ensuring deployments are delivered on time with clear success criteria met. Be the trusted technical partner our customers rely on. Build strong relationships with data science and ML engineering teams, guiding them through every stage of their AI observability journey and ensuring they realize measurable value from Fiddler. Champion the customer voice across Fiddler. Lead ongoing technical engagements, status syncs, roadmap discussions, QBRs, and escalation management to ensure customer feedback influences our product roadmap and long‑term strategy. Become a domain expert in AI Observability. Master Fiddler’s platform and help customers operationalize observability best practices—improving model transparency, performance monitoring, and compliance across their ML lifecycle. Deliver seamless integrations and technical success. Write custom integration code that connects Fiddler to customer data ecosystems using tools like Snowflake, Airflow, MLflow, S3, Kafka, and more; ensuring robust, scalable, and secure pipelines. Accelerate platform adoption. Build and refine integration patterns between Fiddler and common data platforms, workflow tools, and ML infrastructures to reduce time‑to‑value for new customers. Uncover and drive expansion opportunities. Identify new ways Fiddler can provide impact—whether through advanced observability use cases, expanded integrations, or deeper model governance—to drive renewals and growth. Bachelor’s degree in Computer Science (AI/ML focus), Statistics, Mathematics, or related field with 5‑7+ years of professional experience. 2+ years of hands‑on experience deploying, monitoring, or maintaining ML models in production environments. Excellent communication, presentation, and storytelling abilities; able to distill complex technical concepts into clear, actionable insights for both technical and executive audiences. Strong organizational and project management skills, with the ability to balance multiple customer engagements and priorities. Demonstrated collaboration across cross‑functional teams—Product, Engineering, and Delivery—to drive customer outcomes. A customer‑first mindset with empathy, curiosity, and a deep sense of ownership for delivering value. Passion for continuous learning and a desire to inspire customers and peers through thought leadership and technical credibility. Even Better Understanding of data science concepts, model interpretability, and explainability techniques used in modern ML systems. Working knowledge of data and workflow tools such as Hadoop, MongoDB, Snowflake, BigQuery, Spark, Kafka, Kinesis, RabbitMQ, Airflow, MLflow, Luigi, Kubeflow, or Argo. Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit‑learn. Proficiency with Kubernetes and cloud platforms (AWS, Azure, GCP). Familiarity with the ML/DS lifecycle, including feature generation, model training, deployment, monitoring, and evaluation (batch and real‑time scoring via REST APIs). Understanding of emerging AI technologies—Generative AI, Large Language Models (LLMs), RAG architectures, and agent‑based systems. $200,000 – $240,000 CAD Fiddler is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you require special accommodations in order to complete the interviews or perform job duties, please inform the recruiter at the beginning of the process. #J-18808-Ljbffr
