[Hiring] Senior Product Manager, Data & Intelligence @Bask Health

Role Description

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.

Qualifications

• 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.