Fiddler AI

About Fiddler AI

Fiddler AI builds trust into AI, pioneering enterprise Model Performance Management. You will help F500 organizations monitor, explain, and improve their AI models. The platform unifies Data Science, MLOps, and Line of Business teams. It provides a common language and actionable insights for trustworthy AI at scale. Fiddler AI seamlessly integrates deep Explainable AI (XAI) and analytics. This helps you accelerate AI time-to-value and increase revenue. Notable customers include Integral Ad Science, the US Navy, and Tide. The company has secured $100 million in total funding, with a recent $30 million Series C. They were founded in 2018 and recognized on the a16z Data50 list and as a WEF Technology Pioneer. They empower organizations to get ahead of AI risks in production.

How We Work

You will join a remote-friendly, hybrid team that values collaboration and continuous learning. We emphasize constant communication and knowledge sharing, ensuring no one works in a silo. Our tight-knit Customer Success Engineering team partners closely with leading enterprise AI organizations. We operate with empathy, curiosity, and a deep sense of ownership for delivering customer value. The team celebrates successes and supports each other through complex challenges. Our values include being an owner, putting customers first, building anti-fragility, being responsible, and simplifying. We are committed to diversity, equity, and inclusion.

Engineering at Fiddler AI

You will solve complex challenges in AI Observability and Security for production models. This involves integrating Fiddler AI with diverse customer data ecosystems. You will work with tools like Snowflake, Airflow, MLflow, S3, and Kafka. Your projects will involve robust, scalable, and secure data pipelines. You'll accelerate platform adoption by building integration patterns with common data platforms. This includes Hadoop, MongoDB, BigQuery, Spark, and others. You will also apply machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Proficiency with Kubernetes and cloud platforms such as AWS, Azure, and GCP is valuable. You will navigate the ML/DS lifecycle, from feature generation to model monitoring. Emerging AI technologies like Generative AI, LLMs, and RAG architectures present exciting technical problems. You will ensure responsible AI practices through advanced observability use cases.

Why Join Us

• Shape the future of ethical and trustworthy AI for F500 organizations.
• Collaborate with a rapidly growing team of intelligent, empathetic builders.
• Gain monumental learning opportunities in a fast-paced, innovative industry.
• Contribute to a platform recognized as a pioneer by a16z, CB Insights, and Gartner.
• Drive real-world impact by operationalizing AI Observability best practices.

Benefits & Perks

• Competitive pay + equity compensation structure.
• Unlimited PTO and 12 holidays + 3 company recharge days.
• Premium health, dental, and vision insurance with 100% employee coverage.
• 401(k) retirement plan with company contributions.
• Paid parental leave to support new families.
• Monthly fitness reimbursement to promote well-being.
• Annual Caltrain pass for commuters in the SF Bay Area.
• Monthly in-office massages for HQ employees.
• Fastrak reimbursement for convenient commuting.
• Lunch provided Monday-Thursday at Palo Alto HQ.