Principal AI/ML Architect, Applied Field Engineering
Snowflake191,000 - 273,000 USD/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries
Requirements
Candidates should possess a Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field; an advanced degree (MS, MBA, or PhD) is preferred, and they must have at least 10 years of product management experience, with a minimum of 3 years focused on leading AI/ML-powered products, including generative AI and agentic AI systems. A strong understanding of AI/ML fundamentals, encompassing model development, deployment, monitoring, and the specific challenges of AI product lifecycle management is required. Experience with observability, monitoring, or AIOps platforms in enterprise IT environments is also desired.
Responsibilities
The Director, AI Product Management will define and execute the product strategy and roadmap for GenAI and Agentic AI observability solutions within the Skylar AI suite, ensuring alignment with ScienceLogic’s mission and customer needs. They will lead the end-to-end lifecycle for new AI-powered observability features, including requirements gathering, development, launch, and continuous improvement. This role involves partnering with engineering, data science, and UX teams to deliver robust monitoring solutions, driving the adoption of advanced capabilities like agent behavior analytics and model drift detection, and establishing best practices for monitoring GenAI in production. Collaboration with customers, sales, marketing, and support teams is crucial, alongside communicating product vision to executive leadership and mentoring a product management team.
Skills
Generative AI
Agentic AI
AI observability
Model drift detection
AI safety
Data visualization
Analytics
Automation
Unsupervised machine learning
Human-in-the-loop automation
ScienceLogic
IT operations management platform for monitoring
About ScienceLogic
ScienceLogic specializes in IT operations management, providing a platform called SL1 that helps businesses monitor and manage their IT infrastructure and applications. The SL1 platform is designed for organizations that depend on technology, such as large enterprises, managed service providers (MSPs), and government agencies. It offers tools for automating and streamlining IT operations, ensuring that systems run smoothly and efficiently. Clients pay a subscription fee to access SL1, which comes in different service tiers to accommodate various needs and budgets. Additionally, ScienceLogic offers professional services to assist clients in implementing and optimizing the platform. The company's goal is to support businesses in maintaining high performance and reliability in their IT systems.
Key Metrics
Reston, VirginiaHeadquarters
2003Year Founded
$228.8MTotal Funding
LATE_VCCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
501-1,000Employees