# Solutions Architect, Customer Success - US (Remote)

Hiring organization: [Fiddler AI](https://career.thegoodapps.co/organizations/fiddler-ai)

Canonical page: https://career.thegoodapps.co/jobs/cf002afe-650a-4ae4-8bc6-3477ff7bf5b8

Listed on Fiddler AI's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Mid
- Location: US - Remote
- Remote: yes
- Salary: 160000 – 230000 USD per year

## Summary

This role pairs technical expertise with customer success, tasking you with helping enterprise AI teams deploy and operationalize Fiddler's observability platform. You'll architect integrations, guide customers through their AI observability journey, and serve as the bridge between complex ML systems and measurable business outcomes.

_Our summary, not Fiddler AI's wording._

## Skills named

Amazon S3, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Apache Kafka, Argo CD, Google BigQuery, Kubeflow, Kubernetes, Microsoft Azure, MLflow, MongoDB, PyTorch, RabbitMQ, scikit-learn, Snowflake, SPARK, TensorFlow

## Required

- Bachelor's degree in Computer Science, Statistics, Mathematics, or related field
- 5-7+ years of professional experience
- 2+ years deploying, monitoring, or maintaining ML models in production
- Excellent communication and ability to translate complex technical concepts for both technical and executive audiences
- Strong project management and organizational skills to balance multiple customer engagements
- Cross-functional collaboration experience with Product, Engineering, and Delivery teams
- Customer-first mindset with empathy and ownership for delivering value

## Nice to have

- Understanding of data science concepts, model interpretability, and explainability techniques
- Experience with data and workflow tools like Hadoop, MongoDB, Snowflake, BigQuery, Spark, Kafka, Kinesis, RabbitMQ, Airflow, MLflow, Luigi, Kubeflow, or Argo
- Proficiency with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn
- Experience with Kubernetes and cloud platforms (AWS, Azure, GCP)
- Familiarity with the ML/DS lifecycle including feature generation, model training, deployment, monitoring, and evaluation
- Understanding of Generative AI, Large Language Models, RAG architectures, and agent-based systems

Apply on Fiddler AI's site: https://jobs.ashbyhq.com/fiddler-ai/640c12b9-6a07-4be1-a542-d76e4240e2ff/application