Product Manager, Data & Intelligence / BaskQL
New
B
Bask HealthTelehealth SaaS
United StatesFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 2+ years of professional product management experience building and shipping software products. At least 1 year of JavaScript/TypeScript experience. At least 1 year of professional experience in an engineering role.
- Required Skills
- JavascriptProduct ManagementTypeScriptProduct AnalyticsRESTful APIsSoftware EngineeringSaaS
Requirements
- Have 2+ years of professional product management experience building and shipping software products.
- Have at least 1 year of JavaScript/TypeScript experience.
- Have at least 1 year of professional experience in an engineering role.
- Be able to read and write code, understand technical implementation details, and communicate with engineers.
- Have experience with SaaS products, analytics applications, business software, or complex web-based platforms.
- Understand APIs, integrations, data flows, and modern software development.
- Be able to work with engineers on requirements involving data models, databases, and system performance.
- Have experience translating user needs and business requirements into actionable product specifications.
- Bring product discovery, prioritization, and execution experience.
- Have experience working with engineers, designers, and cross-functional stakeholders.
- Use quantitative data, customer feedback, and product analytics to inform decisions.
Responsibilities
- Own assigned product initiatives across BaskQL and related data intelligence experiences.
- Help define and execute the roadmap for analytics, reporting, and data exploration capabilities.
- Gather reporting needs and business questions from merchants, customer-facing teams, and internal stakeholders.
- Improve how users access, filter, organize, and interpret information across the platform.
- Translate user needs into product requirements and technical specifications with engineering and design teams.
- Work with engineers on APIs, data models, integrations, query workflows, and implementation tradeoffs.
- Improve the usability, consistency, and reliability of reporting and analytics experiences.
- Monitor feature adoption, reporting usage, query success, workflow completion, and user satisfaction.
- Lead initiatives through discovery, development, testing, launch, and iteration.
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