Product Manager - AI & Data Analytics

WorkWave is a company focused on innovative SaaS solutions, and they are seeking a results-oriented Product Manager to drive the vision and execution of their customer-facing AI and data analytics products. This role involves collaborating with clients to co-develop solutions while translating technical capabilities into business value.

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
• Use your analytical skills to conduct product-related data analysis, validate data assets, and prove/disprove hypotheses
• Act as the primary translator between customer requirements and data engineering, using your technical fluency to assess the viability of new ideas
• Work closely with data scientists to define requirements for AI/ML-driven features, ensuring the underlying data is structured for success

Requirements:

• 3-5+ years of relevant experience in one of the fields described above
• A strong ability to connect complex technical features directly to customer value, user needs, and business outcomes (like ROI or retention)
• Experience working directly with customers or key stakeholders to gather requirements, validate ideas, and manage feedback loops
• Excellent communication and data storytelling skills. You can build consensus and manage expectations with diverse audiences (from engineering to sales to external clients)
• A demonstrated ability to manage a backlog, make trade-offs, and align teams on a clear set of priorities
• You have solid SQL fundamentals and are comfortable writing queries (like joins and aggregations) to explore data and conduct analysis
• Experience with a modern BI platform (e.g., Tableau, Looker, Power BI, Sigma). You understand the principles of effective data visualization
• A strong functional understanding of data transformation techniques (aggregation, string manipulation, type casting)
• Modern Data Stack Experience: This is a great opportunity to work with (or learn) industry-leading tools. Our stack includes Snowflake, Fivetran, DBT, and Sigma
• Experience with B2B SaaS verticals such as Field Services (e.g., pest control, lawn care) or Building Services (e.g., cleaning, security) would give you an advantage in onboarding speed
• You have some familiarity with a scripting language (like R or Python) for data analysis
• You have exposure to the AI/ML lifecycle or have worked with production machine learning models