Technical Product Manager - AI & Data Analytics

WorkWave is a company focused on innovative solutions in the data and AI space. They are seeking a Technical Product Manager to shape the AI & Data Vision, drive the predictive roadmap, and collaborate with clients to develop impactful data products.

Responsibilities:

• Shape the AI & Data Vision • 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
• Execute & Ship with Impact • 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
• The 'Translator' Superpower: 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