6 дней назад
Sr. Product Manager - Skylar Analytics (SaaS Analytics)
135 000 - 155 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Sr. Product Manager - Skylar Analytics (SaaS Analytics): Building and scaling an enterprise analytics and reporting product across data access, modeling, query capabilities, connectors, and reporting templates with an accent on anomaly detection, predictive alerting, and actionable operational insights. Focus on shaping product strategy and go-to-market, collaborating on data infrastructure and ML outputs, and enabling future agentic AI capabilities.
Location: United States; remote
Base salary: $135,000–$155,000 annually, plus equity compensation and bonus opportunities.
Company
is presenting this opportunity on behalf of a partner company developing a technically sophisticated SaaS analytics and reporting product.
What you will do
- Own the product vision, strategy, and roadmap for analytics, reporting, data access, modeling, and query capabilities.
- Define connectors, operational data structures, and reporting templates for platforms such as Power BI and Superset.
- Collaborate with data engineering and data science teams on extensible data models, pipeline contracts, and shared data infrastructure.
- Shape customer-facing anomaly detection and predictive alerting experiences, including how machine-learning outputs are surfaced and used.
- Lead positioning, packaging, messaging, and go-to-market strategy for the analytics offering.
- Use customer feedback, product data, and market insights to improve adoption, usability, and time-to-value.
Requirements
- 5+ years of Product Management experience focused on reporting, analytics, business intelligence, or related data products.
- Strong understanding of data modeling, dimensional modeling, OLAP cubes, schema design, analytical architectures, and query-performance tradeoffs.
- Hands-on SQL proficiency and experience validating data and assumptions independently.
- Familiarity with ClickHouse, dbt, data warehouses, analytical data pipelines, and enterprise BI tools such as Superset, Power BI, or Tableau.
- Working knowledge of data science and machine-learning concepts, especially anomaly detection and ML pipelines.
- Experience with multi-tenant SaaS products, Jira Software, technical go-to-market initiatives, and cross-functional stakeholder management.
Nice to have
- Experience in IT operations, observability, infrastructure monitoring, agentic AI, or LLM-powered products.
- Knowledge of OpenTelemetry, metrics ingestion, data governance, data cataloging, Apache Superset, or ClickHouse.
Culture & Benefits
- Remote work environment with collaboration across the technology industry.
- Medical, dental, and vision insurance.
- 401(k) plan with employer match.
- Flexible paid time off, volunteer time off, and paid parental leave.
- Equity compensation, bonus opportunities, pet insurance, and an employee referral bonus program.
- Professional learning opportunities, career development, virtual company-wide events, and a five-year service milestone sabbatical.
Hiring process
- uses an AI-powered matching process to review applications against the role's core requirements.
- The shortlisted candidates are shared with the hiring company, which manages interviews, assessments, and final decisions.
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