Sr. Product Manager - Skylar Analytics

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.