Sr. Product Manager - Skylar Analytics

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. Product Manager - Skylar Analytics based in United States. This is a remote senior product leadership opportunity focused on building and scaling an enterprise analytics and reporting product. You will own the product vision and roadmap across data access, modeling, reporting, and query capabilities. The role sits at the intersection of product, data engineering, data science, and enterprise BI. You will help customers turn complex operational telemetry into accessible, actionable business insights. Your work will reduce time-to-value through ready-to-use connectors, data structures, and reporting templates. You will also shape anomaly detection, predictive alerting, data integrations, and future AI-powered capabilities. This is an opportunity to influence both product strategy and go-to-market for a technically sophisticated SaaS offering. \n Accountabilities: Own the product vision, strategy, and roadmap for the analytics and reporting platform, covering data modeling, customer-facing reporting, query capabilities, and data access. Define and deliver connectors, data structures, and reporting templates for platforms such as Power BI and Superset, helping customers access operational data without requiring custom development. Collaborate closely with data engineering and data science teams to establish and continuously improve an extensible operational data model aligned with customer needs. Partner with the broader product organization to define and maintain data pipeline contracts, including data scope, fidelity, and evolution as connected products develop. Drive the customer experience for anomaly detection and predictive alerting by determining which machine-learning outputs are surfaced and how customers can act on them. Identify opportunities to strengthen shared data infrastructure and enable analytics data to support emerging agentic AI capabilities. Lead go-to-market strategy, including positioning, packaging, messaging, and the customer narrative that establishes the analytics offering as a compelling standalone product. Partner with sales, marketing, engineering, and other stakeholders to translate complex technical capabilities into clear customer value and measurable business outcomes. Use customer feedback, product data, and market insights to prioritize enhancements and continuously improve adoption, usability, and time-to-value. Requirements: 5+ years of Product Management experience focused on reporting, analytics, business intelligence, or a closely related data product, with a demonstrated history of delivering accessible dashboards and reporting solutions. Strong understanding of data modeling concepts, including dimensional modeling, OLAP cubes, schema design, analytical architectures, and query-performance tradeoffs. Hands-on SQL proficiency, with the ability to write queries, inspect data, and validate assumptions independently. Familiarity with modern data-stack technologies such as ClickHouse, dbt, data warehouses, and analytical data pipelines. Experience with BI platforms such as Superset, Power BI, Tableau, or comparable enterprise reporting tools. Working knowledge of data science and machine-learning concepts, particularly anomaly detection and ML pipelines, with the ability to collaborate effectively with technical specialists. Experience leading go-to-market initiatives for technical products and translating complex platform capabilities into compelling customer benefits. Experience with multi-tenant SaaS products and an understanding of the operational and architectural considerations they involve. Experience using Jira Software for product planning and collaboration. Strong communication, prioritization, stakeholder-management, and strategic thinking skills, with the ability to work effectively across product, engineering, data, sales, and marketing teams. Nice-to-have experience in IT operations, observability, infrastructure monitoring, agentic AI or LLM-powered products, OpenTelemetry, metrics ingestion, data governance, data cataloging, Apache Superset, or ClickHouse. Benefits: Base salary: $135,000–$155,000 annually. Equity compensation and bonus opportunities. Comprehensive medical, dental, and vision insurance. 401(k) plan with employer match. Flexible Paid Time Off (FTO). Two days of Volunteer Time Off (VTO) per calendar year. Paid parental leave. Five-year service milestone sabbatical. Pet insurance. Employee referral bonus program. Opportunities for professional learning, development, and career growth. Regular virtual company-wide events, including cooking classes, yoga, meditation, and other activities. Remote work environment with opportunities to collaborate with experienced professionals across the technology industry. \n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1