Senior Customer Success Engineer (Remote)

Key Skills

Aartificial intelligence, Apache Airflow, Computer Vision (CV), Data science techniques, Effective communication skills, Machine learning techniques, MongoDB, Natural Language Processing (NLP), Planning and organization, PyTorch, REST API, Scikit-learn, Snowflake, TensorFlow, Writing

Job Description

Fiddler is recognized as a pioneer in the field of AI Observability and has received numerous accolades, including: 2022 a16z Data50 list, 2021 CB Insights AI 100 most promising startups, 2020 WEF Technology Pioneer, 2020 Forbes AI 50 most promising startups of 2020, and a 2019 Gartner Cool Vendor in Enterprise AI Governance and Ethical Response. By joining our brilliant (at least we think so) team, you will help pave the way in the AI Observability space.

What You'll Do

• You will act as a trusted advisor to our customers, while also building relationships with technical stakeholders
• 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
• Knowledge of data science concepts, including developing interpretable machine learning model tools to be used in Fiddler's product
• 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

• BS/MS in Computer Science (AI/ML specialization), Statistics, Mathematics, or equivalent
• 2+ years of real-world experience working with ML models in production
• Comfortable with Kubernetes and public Cloud environments (AWS, Azure, GCP)
• Working knowledge of tools used for structured and unstructured data, messaging and workflow tools at scale. Tools like Hadoop, MongoDB, Snowflake, Bigquery, Spark, Kafka, Kinesis, RabbitMQ, Airflow, MLFlow, Luigi, Kubeflow, Argo
• Knowledge of machine learning frameworks such as TensorFlow, PyTorch or Scikit-learn
• Understanding of ML/DS concepts, model evaluation strategies and lifecycle (feature generation, model training, model deployment, batch and real time scoring via REST APIs) and engineering considerations
• Strong coding skills, preferably in Python
• Experience with large-scale industrial applications of deep learning in domains like Computer Vision, NLP and/or Speech-to-Text, a plus
• 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

Pay Range in San Francisco California is $160,000 - $195,000.

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.