Technical Product Manager - AI & Data Analytics

Responsibilities

• Own the Predictive Roadmap: Drive the vision and strategy for 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 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 intuitive data visualizations and high-impact product demos.
• Translate Complexity: Translate customer business problems into precise technical specs, transformation logic, and data requirements for engineers and data scientists.
• Own the GTM: Collaborate with Product Marketing and Sales to launch features that drive SaaS metrics (Adoption, Retention, ARR expansion).
• Hypothesize & Validate: Use 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: ability to connect complex technical features to customer ROI.
• SQL fluency: comfortable writing joins and aggregations to explore data.
• Experience with a modern BI platform (e.g., Sigma, Tableau, Looker) and strong data presentation skills.
• Elite communication skills: pitch vision to executive clients, align sales teams, and debate data modeling with engineers.

Nice-to-Haves

• Experience with 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.