Product Manager - AI & Data Analytics
New
Remote, USFull-TimeManager
Salary155,000 - 165,000 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 3-5+ years
- Required Skills
- SQLBusiness IntelligenceProduct ManagementTableauData visualizationData analyticsSaaSLooker
Requirements
- 3-5+ years of relevant experience in product management, analytics, or data-focused roles.
- Strong ability to connect complex technical features directly to customer value, user needs, and business outcomes.
- Experience working directly with customers or key stakeholders to gather requirements.
- Excellent communication and data storytelling skills.
- Demonstrated ability to manage a backlog, make trade-offs, and align teams on priorities.
- Solid SQL fundamentals, comfortable writing queries for analysis.
- Experience with a modern BI platform (e.g., Tableau, Looker, Power BI, Sigma).
- Functional understanding of data transformation techniques (aggregation, string manipulation, type casting).
Responsibilities
- Own the product vision and strategic roadmap for our external, customer-facing AI/ML models, data products, and analytics features.
- Engage directly with strategic customers and design partners to understand their needs, validate roadmaps, and co-develop new features.
- Define, measure, and communicate product success using metrics that correlate with customer value and SaaS business metrics (e.g., adoption, retention, ARR expansion).
- Partner with UX, Data Science, and Sales Engineering to create impactful data visualizations and product demos that communicate clear value to customers.
- Define clear, testable requirements (epics and user stories) based on customer feedback, market analysis, and strategic priorities.
- Write precise, detailed specifications for complex data processes, transformation logic, and aggregation rules.
- Partner with Product Marketing, Sales, and Customer Success to develop launch plans, sales collateral, and communication plans for new features.
- Conduct product-related data analysis, validate data assets, and prove/disprove hypotheses.
- Act as the primary translator between customer requirements and data engineering.
- Work closely with data scientists to define requirements for AI/ML-driven features.
View Full Description & ApplyYou'll be redirected to the employer's site
