Technical Product Manager - AI & Data Analytics

WorkWave is a global SaaS company that develops innovative solutions to help customers and their businesses succeed. The Technical Product Manager will lead the customer-facing AI and data strategy, including predictive models, advanced analytics features, and data products. This role partners with clients, UX, data science, engineering, product marketing, and sales to translate business needs into technical solutions and launch products that drive adoption, retention, and ARR expansion.

Responsibilities:

• Own the Predictive Roadmap: Drive the vision and strategy for our external AI/ML models, advanced analytics features, and data products
• Co-Innovate with Clients: Embed deeply with strategic customers and design partners to validate ideas, uncover raw user needs, and co-develop next-gen features
• Tell the Story of Data: Partner with UX and Data Science to turn complex backend algorithms into beautiful, intuitive data visualizations and high-impact product demos
• Translate Complexity: Act as the ultimate bridge. Translate messy customer business problems into precise technical specs, transformation logic, and data requirements for our engineers and data scientists
• Own the GTM: Collaborate with Product Marketing and Sales to launch features that aren't just technically impressive, but actually move the needle on SaaS metrics (Adoption, Retention, ARR expansion)
• Hypothesize & Validate: Use your analytical skills to dive into data assets, validate assumptions, and prove (or disprove) product hypotheses before writing code

Requirements:

• 3+ years of relevant experience across Product Management, Data Analytics, or Data Engineering
• Strong Business & Product Acumen: The ability to look at a complex technical feature and immediately see how it connects to customer ROI
• SQL Fluency: You are comfortable writing joins and aggregations to explore data yourself
• Data Visualization Chops: Experience with a modern BI platform (e.g., Sigma, Tableau, Looker) and a strong sense of how to present data clearly
• Elite communication skills: You can pitch a vision to an executive client, align a sales team, and debate data modeling with an engineer
• Experience with (or a burning desire to learn) our modern data stack: Snowflake, DBT, Fivetran, and Sigma
• Experience in complex B2B SaaS verticals—especially physical operations like Field Services (logistics, routing, dispatch) or Building Services
• Familiarity with Python or R for lightweight data analysis
• Experience working around the machine learning lifecycle or productionized models