Senior Product Manager, Data & Intelligence / BaskQL
At a glance
Senior Product Management role at Bask Health. Remote, United States · no salary stated · we estimate $157,011–$215,000 across the United States.
Bask Health has not published a salary for this role. The figure below is our estimate, not theirs.
remoteroles summary, based on the employer's posting.
What you'll do
- Set BaskQL’s direction and delivery plan, then carry related data and analytics features through release and refinement
- Talk with merchants and internal teams to uncover reporting questions, data problems, and information users need
- Shape ways for users to filter, examine, and interpret platform information, including possible natural-language or AI-assisted exploration
- Work with engineers on APIs, data models, integrations, permissions, accuracy, and tradeoffs in query speed and reliability
- Track adoption, reporting use, successful queries, and satisfaction, using feedback and product data to choose improvements
What you bring
- At least five years managing products through software development and launch
- Hands-on coding experience from software engineering or another technical background, with the ability to discuss implementation with engineers
- Experience owning technical SaaS, analytics, data-heavy, or complex business software products
- Working knowledge of APIs, databases, data models, and software architecture
Who this fits
This is a hands-on senior product role for someone comfortable taking a technical data product from discovery through launch and ongoing improvement. The role is remote in the United States.
From the employer
About Bask Health
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.
About the Role
We're looking for a Senior Product Manager, Data & Intelligence / BaskQL to lead the strategy, development, and improvement of Bask's data and intelligence product experiences.
You'll own the product direction for BaskQL and related analytics capabilities, helping merchants and internal teams turn complex platform data into useful insights and informed decisions.
This is a hands-on technical product management role focused on building intuitive, reliable, and scalable data products. You'll work closely with engineering, design, and customer-facing teams to understand reporting needs, improve access to information, and develop tools that make complex data easier to explore and understand.
We're looking for someone who combines strong technical judgment with an understanding of data-driven products and can take ownership from discovery through launch and iteration.
What You'll Do
- Own the product vision, strategy, roadmap, and execution for BaskQL and related data intelligence experiences.
- Lead product discovery and development for analytics, reporting, and data exploration capabilities.
- Work directly with merchants and internal teams to understand their reporting needs, business questions, and data challenges.
- Define intuitive experiences that help users access, filter, analyze, and interpret information across the platform.
- Partner with engineering teams to translate data requirements into scalable product capabilities.
- Collaborate on product requirements involving APIs, data models, query workflows, and data integrations.
- Identify opportunities to simplify complex reporting processes and reduce manual data analysis.
- Define requirements for data accuracy, consistency, access permissions, and clear presentation of information.
- Explore opportunities for natural-language data exploration and AI-assisted insights where they provide meaningful user value.
- Coordinate with other product teams to ensure analytics experiences reflect the underlying workflows and data across Bask's applications.
- Work with engineering to evaluate technical tradeoffs involving query performance, reliability, and scalability.
- Define and track product metrics such as feature adoption, reporting usage, query success, and user satisfaction.
- Use customer feedback, product analytics, and hands-on testing to prioritize improvements.
- Lead product initiatives from discovery and technical planning through development, launch, and iteration.
- Take ownership of product outcomes and continuously improve how users interact with Bask's data.
Requirements
- 5+ years of professional product management experience building and shipping software products.
- Previous software engineering experience or a technical background that includes hands-on coding experience.
- Ability to read and write code, understand technical implementation details, and communicate effectively with engineers.
- Experience owning technical SaaS products, analytics platforms, data-intensive applications, or complex business software.
- Strong understanding of APIs, data models, databases, and modern software architecture.
- Ability to work with technical teams on data quality, system performance, and integration requirements.
- Proven experience leading products from discovery and technical planning through launch and iteration.
- Ability to translate complex user questions and business requirements into intuitive product experiences.
- Strong product discovery, prioritization, and roadmap management skills.
- Experience using quantitative data and qualitative feedback to guide product decisions.
- Experience collaborating directly with engineers, designers, and cross-functional stakeholders.
- Excellent written and verbal communication skills.
- Ability to work independently, navigate ambiguity, and ship high-quality products under tight timelines.
Nice to Have
- Experience building business intelligence, analytics, reporting, or data exploration products.
- Familiarity with SQL, query interfaces, data visualization, or self-service analytics tools.
- Experience with data platforms, data warehouses, or analytics infrastructure.
- Familiarity with natural-language querying, AI-assisted analytics, or large language model applications.
- Experience designing data products for nontechnical business users.
- Knowledge of data permissions, privacy, governance, and reliability considerations.
- Experience building multi-tenant SaaS products with configurable reporting capabilities.
- Experience with e-commerce, subscription businesses, or merchant-facing platforms.
- Experience with telehealth, digital health, or healthcare technology platforms.