Senior Field AI Engineer - Customer Success - Canada (Remote)

Fiddler AI; Toronto; Remote; CAD 125,000 - 150,000; Full time

Job summary

A leading AI technology company is seeking a Senior Field AI Engineer for a remote role in Canada. You will act as a trusted advisor, ensuring customer success in utilizing the Fiddler platform for their observability needs. Required qualifications include over 2 years of experience with ML models and familiarity with tools like Snowflake and Kubernetes. This full-time position prioritizes technical success and strong communication skills.

Qualifications

• 2+ years of experience working with ML models.
• Excellent organizational and interpersonal skills.
• Familiarity with tools for structured and unstructured data.

Responsibilities

• Act as a trusted advisor to customers and technical stakeholders.
• Help deliver onboarding services for new customers.
• Engage customers on status calls and manage escalations.

Skills

ML model development

Kubernetes

Data science concepts

Python coding

Communication skills

Tools

Snowflake

Airflow

Kafka

MLFlow

BigQuery

Job description

Overview

Senior Field AI Engineer - Customer Success - Canada (Remote) role at Fiddler AI.

What You’ll Do

• You will act as a trusted advisor to our customers while also building relationships with technical stakeholders
• Work alongside a Fiddler Delivery Manager to help deliver Fiddler onboarding services for our new customers
• You will act as the “Voice of the Customer”; regularly engaging them on status calls, educating on product roadmap and QBRs, managing escalations, while influencing our roadmap in partnership with our Product team
• Become a Fiddler AI Observability product specialist in order to help customers utilize the platform to meet their observability needs
• Ensure technical success for customer onboarding by writing custom code to integrate with their data pipeline using tools like Snowflake, Airflow, MLFlow, S3, Kafka, etc
• Develop Fiddler platform integration to expedite onboarding with data platforms, workflow tools, and ML platform
• Spearhead new opportunities in which Fiddler can provide the most value that will drive renewals and expansion

What We’re Looking For

• 2+ years of experience working with ML models
• Familiarity with Kubernetes in the public Cloud environments (AWS, Azure, GCP)
• Knowledge of data science concepts, including developing interpretable machine learning model tools to be used in Fiddler’s product
• Familiarity with tools used for structured and unstructured data like Hadoop, Snowflake, BigQuery, Spark, Kafka, Kinesis, RabbitMQ, Airflow, MLFlow, Luigi, Kubeflow, Argo
• Working knowledge of Generative AI, Large Language Models, and related concepts like agents, RAG, etc.
• Experience with coding / scripting, preferably in Python
• Excellent organizational, communication, writing, and interpersonal skills
• Curiosity, ownership, empathy towards customers, willingness to learn new things, and desire to inspire others are values we care

The posted range represents the expected salary range for this job requisition and does not include any other potential components of the compensation package, benefits, and perks previously outlined. Ultimately, in determining pay, we'll consider your experience, leveling, location, and other job-related factors.

Fiddler is proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering, Information Technology, and Sales

Industries

• Software Development and IT Services and IT Consulting