Senior Product Manager – Skylar Analytics

🕒 vor 1 Tag

🇺🇸 Vereinigte Staaten – Remote

💵 $135.000 - $155.000 / Jahr

⏰ Vollzeit

🟠 Senior

✅ Produktmanager

👻 Geisterscore 0%

infoinfo

🗣️🇺🇸🇬🇧 Englisch erforderlich

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Logo of ScienceLogic

ScienceLogic

501 - 1000 Mitarbeiter

Gegründet 2003

🤖 Künstliche Intelligenz

☁️ SaaS

🤝 B2B

💰 €21.167.632 Venture Round - ScienceLogic im 2022-10

Artificial Intelligence • SaaS • B2B

ScienceLogic ist ein Anbieter von KI-gesteuerter Beobachtbarkeit und AIOps-Software, die Organisationen dabei unterstützt, komplexe hybride IT-Umgebungen zu überwachen, zu automatisieren und zu analysieren. Die ScienceLogic-AI-Plattform (Markenname Skylar) kombiniert Monitoring für hybride Cloud-Umgebungen, Netzwerk- und Anwendungsbeobachtbarkeit, automatisierte Ursachenanalyse, Workflow-Automatisierung, Compliance- und Konfigurationsmanagement sowie umfangreiche Integrationen, um die durchschnittliche Reparaturzeit (MTTR) zu verkürzen und IT-Tools zu konsolidieren. Das Unternehmen bietet seine Plattform als SaaS-Lösung mit schnellen Implementierungsoptionen an, zielt auf IT-Betriebe von Unternehmen und Dienstleistern und legt besonderen Wert auf KI/Automatisierung zur Steigerung der Betriebseffizienz, Widerstandsfähigkeit und Kostensenkung.

Beschreibung

• Own the Skylar Analytics product vision and roadmap across data modeling requirements, customer-facing reporting, and query capabilities • Define and deliver connectors, data structures, and Power BI and Superset reporting templates • Reduce customer time-to-value without custom development • Collaborate with data engineering and data science teams to define and refine the operational data model • Partner with the Skylar One team to define and maintain the data pipeline contract • Define which operational data is sent to the Skylar AI platform, at what fidelity, and how it evolves • Drive anomaly detection and predictive alerting in Analytics by defining customer-facing ML outputs and use cases • Partner with the Skylar Advisor team to strengthen shared data infrastructure and feed Analytics data into agentic capabilities • Own the go-to-market strategy, positioning, packaging, and product narrative for Skylar Analytics

🎯 Anforderungen

• 5+ years of experience as a Product Manager for a reporting, analytics, or BI product • Track record of shipping dashboards and reporting templates usable by non-technical users • Comfort collaborating with data engineers on dimensional modeling, OLAP cubes, schema design, and query performance tradeoffs • Hands-on SQL experience, including writing queries, inspecting data, and validating assumptions • Familiarity with ClickHouse, dbt, data warehouse architecture, and analytical pipelines • Familiarity with BI tools such as Superset, Power BI, Tableau, or similar platforms • Fluency in data science concepts related to anomaly detection and ML pipelines • Experience leading go-to-market strategy for a technical product • Experience with multi-tenant SaaS products • Experience using Jira software • Background in IT operations, observability, or infrastructure monitoring is nice to have • Experience with agentic AI products or LLM-powered platforms is nice to have • Familiarity with OpenTelemetry or metrics ingestion pipelines is nice to have • Experience with data governance and cataloging is nice to have • Experience with Apache Superset is nice to have • Experience with ClickHouse database is nice to have

🏖️ Vorteile

• Comprehensive medical, dental and vision plans • 401(k) plan with employer match • Flexible Paid Time Off (FTO) • Volunteer Time Off (VTO) — two days off per calendar year • 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 • Opportunity to learn and develop from industry experts • Equity • Bonus

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🗣️🇺🇸🇬🇧 Englisch erforderlich