Sr. Product Manager - Skylar Analytics

ABOUT SCIENCELOGIC…

ScienceLogic is redefining IT operations for the modern enterprise. Our AIOps platform empowers organizations to achieve Autonomic IT — where systems are self-healing, self-optimizing, and seamlessly aligned with business outcomes. We help enterprises and service providers gain unified visibility across hybrid and multi-cloud environments, automate workflows, and unlock performance at scale.

We’re accelerating digital transformation through the power of automation, AI, and analytics — giving IT and business leaders the tools to deliver superior customer experiences, drive efficiency, and innovate with confidence.

Role Overview

Skylar Analytics is ScienceLogic's data and reporting layer — the product that takes operational telemetry from across a customer's Skylar One deployments and other enterprise data sources and makes it accessible, unified, and intelligent.

This role sits at the intersection of data access and reporting product. You'll own the data access layer — defining the structures, connectors, and reporting templates that make it easy for customers to get value from their operational data out of the box, whether through Superset, Power BI, or their own BI tooling.

Responsibilities

• Own the Skylar Analytics product vision and roadmap, spanning data modeling requirements, customer-facing reporting, and query capabilities.
• Own the data access layer by defining and delivering connectors, data structures, and Power BI and Superset reporting templates that customers can use directly, reducing time-to-value without custom development.
• Collaborate with data engineering and data science teams to define and continually refine the operational data model, ensuring it reflects customer needs and remains extensible.
• Partner with the Skylar One team to define and maintain the data pipeline contract, including which operational data is sent to the Skylar AI platform, at what fidelity, and how it evolves as both products grow.
• Drive anomaly detection and predictive alerting in Analytics by defining which ML outputs customers see and how they use them.
• Partner with the Skylar Advisor team to strengthen shared data infrastructure and identify ways to feed Analytics data into Advisor’s agentic capabilities.
• Own the GTM strategy for Skylar Analytics, including positioning, packaging, and the narrative that establishes Analytics as a compelling standalone product.

Skills

• 5+ years of experience as a Product Manager for a reporting, analytics, or BI product, with a track record of shipping dashboards and reporting templates that non-technical users can easily use.
• Comfort collaborating with data engineers on data modeling concepts, including dimensional modeling, OLAP cubes, schema design, and query performance tradeoffs.
• Hands-on SQL experience, with the ability to write queries, inspect data directly, and validate assumptions without relying on an analyst.
• Familiarity with the modern data stack, including ClickHouse, dbt, data warehouse architecture, and the design and maintenance of analytical pipelines.
• Familiarity with BI tools such as Superset, Power BI, Tableau, or similar platforms, and how enterprise teams use them for operational reporting.
• Sufficient fluency in data science concepts to collaborate effectively on anomaly detection and ML pipelines, including knowing which questions to ask without a requirement to build models.
• Experience leading GTM for a technical product, with the ability to partner with sales and marketing to translate data platform capabilities into clear customer value.
• Experience with multi-tenant SaaS products and the operational complexity they introduce.
• Experience with using Jira software.

Nice to Have

• Background in IT operations, observability, or infrastructure monitoring.
• Experience with agentic AI products or LLM-powered platforms.
• Familiarity with Open Telemetry or metrics ingestion pipelines.
• Experience with data governance and cataloging, including making data discoverable and trustworthy for customers who are not data engineers.
• Experience with Apache Superset.
• Experience with ClickHouse database.

BENEFITS & PERKS

• Comprehensive medical, dental and vision plans.
• 401(k) plan with employer match.
• Flexible Paid Time Off (FTO) so that you can take the time that you need to re-energize.
• Volunteer Time Off (VTO) - take two days off per calendar year to volunteer with your preferred charitable organization.
• 5-year Service Milestone Sabbatical.
• Paid parental leave.
• Generous employee referral bonus program.
• Pet insurance.
• HQ Office centrally located in Reston Town Center featuring a well-stocked kitchen with rotating snacks and beverages, and catered lunch on Thursdays.
• Regular virtual company-wide events, including cooking classes, yoga, meditation and more.
• The opportunity to learn and develop from some of the best and brightest minds in the industry!

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At ScienceLogic, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which you are applying.

ABOUT SCIENCELOGIC

ScienceLogic is a leader in IT Operations Management, providing modern IT operations with actionable insights to resolve and predict problems faster in a digital, ephemeral world. Its solution sees everything across cloud and distributed architectures, contextualizes data through relationship mapping, and acts on this insight through integration and automation.

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