Product Manager, Data & Intelligence / BaskQL

Bask Health provides a full-service SaaS platform that enables doctors, entrepreneurs, and healthcare businesses to build, manage, and grow direct-to-consumer telehealth businesses.

We're an entrepreneurial, product-focused team that values ownership, speed, and exceptional execution. We work in small teams, tackle complex problems, and expect everyone to take an active role in building and improving our products.

We're looking for a Product Manager, Data & Intelligence / BaskQL to help build and improve the data and analytics experiences across Bask's telehealth platform.

You'll work on BaskQL and related data intelligence capabilities, helping merchants and internal teams access, understand, and use information about their businesses and platform operations.

This is a hands-on technical product management role focused on making complex data easier to explore, interpret, and act on. You'll work closely with engineering, design, and merchant-facing teams to understand reporting needs, identify gaps, and deliver reliable, intuitive product experiences.

We're looking for someone who understands how software is built, can work directly with engineers, and takes ownership of product initiatives from discovery through launch and iteration.

• Own assigned product initiatives across BaskQL and related data intelligence experiences.
• Help define and execute the product roadmap for analytics, reporting, and data exploration capabilities.
• Work with merchants, customer-facing teams, and internal stakeholders to understand their reporting needs and business questions.
• Improve how users access, filter, organize, and interpret information across Bask's platform.
• Identify opportunities to simplify reporting workflows and reduce the need for manual data analysis.
• Partner with engineering and design teams to translate user needs into clear product requirements and technical specifications.
• Work with engineers to understand APIs, data models, integrations, query workflows, and technical implementation tradeoffs.
• Help improve the usability, consistency, and reliability of reporting and analytics experiences.
• Collaborate with engineering teams to identify and resolve issues involving data accuracy, query performance, and reporting reliability.
• Coordinate with other product teams to ensure reporting experiences accurately reflect underlying business and platform workflows.
• Explore opportunities for self-service reporting, automated insights, and AI-assisted data exploration.
• Help define requirements for data access, permissions, and appropriate handling of sensitive information.
• Define and monitor metrics such as feature adoption, reporting usage, query success, workflow completion, and user satisfaction.
• Gather customer feedback, review product analytics, and use findings to prioritize improvements.
• Lead assigned product initiatives through discovery, development, testing, launch, and iteration.
• Take ownership of product outcomes and continuously improve the data 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.
• Ability to read and write code, understand technical implementation details, and communicate effectively with engineers.
• Experience working on SaaS products, analytics applications, business software, or complex web-based platforms.
• Strong understanding of APIs, integrations, data flows, and modern software development.
• Ability to work with engineers on technical requirements involving data models, databases, and system performance.
• Experience translating user needs and business requirements into clear, actionable product specifications.
• Strong product discovery, prioritization, and execution skills.
• Experience working directly with engineers, designers, and cross-functional stakeholders.
• Ability to use quantitative data, customer feedback, and product analytics to make informed decisions.
• Excellent written and verbal communication skills.
• Ability to manage competing priorities, work independently, and deliver high-quality products in a fast-moving environment.

• Experience with business intelligence, analytics, reporting, or data exploration products.
• Familiarity with SQL, query interfaces, dashboards, or data visualization tools.
• Experience with data platforms, data warehouses, or analytics infrastructure.
• Familiarity with natural-language querying, AI-assisted analytics, or large language model applications.
• Experience building self-service reporting tools for nontechnical business users.
• Understanding of data quality, permissions, privacy, and governance considerations.
• Experience building configurable SaaS platforms that support multiple merchants or organizations.
• Familiarity with product analytics, reporting adoption, and data-driven experimentation.
• Experience with e-commerce, subscription-based businesses, or merchant-facing software.
• Experience with telehealth, digital health, or healthcare technology platforms.