ScienceLogic

Director, AI Product Management

Reston, Virginia, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Information Technology & ServicesIndustries

Position Overview

  • Location Type: Not Specified
  • Job Type: Not Specified
  • Salary: Not Specified

ScienceLogic is seeking a strategic, forward-thinking product leader to drive the vision and development of GenAI and AI observability solutions within our Skylar AI suite. The ideal candidate has a deep understanding of generative and agentic AI technologies and knows how to translate complex technical capabilities into intuitive, scalable, and impactful enterprise products. You’ll own the full product lifecycle - from shaping strategy and building roadmaps to leading cross-functional teams through launch and iteration. You’ll champion innovation in areas like agent behavior analytics, model drift detection, compliance, and AI safety, while setting the standard for best practices in monitoring AI systems in production.

Company Information

In a world of constant change, we're leading the charge towards truly autonomous enterprises. Our cutting-edge platform harnesses the power of automation and generative AI to revolutionize how businesses manage and optimize their IT operations. We're not just adapting to digital transformation—we're accelerating it. Our solutions bring business and operations leaders together, unlocking new levels of innovation, efficiency, and scalability. We empower organizations to deliver superior customer experiences and drive revenue growth in an always-on, always-mobile world. We are leading the charge toward truly autonomous enterprises with our Skylar AI platform—an advanced AI suite that revolutionizes IT operations by harnessing generative AI, unsupervised machine learning, and human-in-the-loop automation. Skylar AI delivers deep autonomous real-time data visualization, exploration, and advanced analytics to help organizations stay ahead in an increasingly complex and competitive digital landscape.

Responsibilities

  • 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.
  • Lead the end-to-end lifecycle for new AI-powered observability features, including requirements gathering, development, launch, and continuous improvement.
  • Partner with engineering, data science, and UX teams to deliver robust, scalable, and user-centric monitoring solutions for GenAI and Agentic AI services.
  • Drive the adoption of advanced capabilities such as agent behavior analytics, model drift detection, lineage tracking, compliance reporting, and AI safety monitoring.
  • Establish and promote best practices for monitoring and managing GenAI and Agentic AI in production environments, focusing on reliability, transparency, and ethical use.
  • Collaborate with customers, sales, marketing, and support teams to gather feedback, prioritize features, and ensure product-market fit for Skylar AI.
  • Communicate product vision, progress, and impact to executive leadership and key stakeholders.
  • Lead, mentor, and inspire a team of product managers, fostering a culture of innovation, excellence, and cross-functional collaboration.
  • Build and develop the product management team to ensure high performance and professional growth.
  • Define and track KPIs for product adoption, customer satisfaction, business impact, and AI model/agent performance.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field; advanced degree (MS, MBA, or PhD) preferred.
  • 10+ years of product management experience, with at least 3 years leading AI/ML-powered products, including generative AI and agentic AI systems.
  • Strong understanding of AI/ML fundamentals, including model development, deployment, monitoring, and the unique challenges of AI product lifecycle management.
  • Experience with observability, monitoring, or AIOps platforms in enterprise IT environments is preferred.
  • Familiarity with generative AI, agentic f

Application Instructions

Not Specified

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.

Reston, VirginiaHeadquarters
2003Year Founded
$228.8MTotal Funding
LATE_VCCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
501-1,000Employees

Benefits

A remote-first culture
Comprehensive medical, dental & vision plans
401(k) plan with employer match
Flexible Paid Time Off (FTO)
Volunteer Time Off (VTO)
5-year service milestone sabbatical
Paid parental leave
Generous employee referral bonus program
Pet insurance
Well-stocked kitchen with rotating snacks and beverages
Regular virtual company-wide events

Risks

Emerging AIOps platforms may offer similar capabilities at lower costs.
Rapid AI advancements could outpace ScienceLogic's integration capabilities.
Potential AI regulatory changes in Europe may increase compliance costs.

Differentiation

ScienceLogic offers AI-driven monitoring for hybrid cloud management, enhancing IT efficiency.
The SL1 platform provides real-time views of IT components across cloud and on-premises.
ScienceLogic's subscription model ensures steady revenue with customizable service tiers.

Upsides

Growing demand for hybrid cloud management boosts ScienceLogic's SL1 platform adoption.
Interest in AIOps aligns with ScienceLogic's AI-driven monitoring solutions.
Partnerships like LTIMindtree expand market reach and enhance service offerings.

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