Technical Product Manager - AI & Data Analytics

We aren't just looking for someone to manage a backlog; we're looking for the founding architect of our customer-facing data and AI strategy. As a Technical Product Manager (Data & AI), you will sit at the high-impact intersection of cutting-edge Data Science, modern Engineering, and customer-facing value. This is a highly visible, strategic role where you'll partner directly with executive-level clients to co-develop the predictive models, analytical features, and SaaS data products that will define our industry. Applicants must be currently authorized to work in the United States on a full-time basis. The company does not currently or in the future provide sponsorship for employment visa status.

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 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 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 move 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 a complex technical feature to customer ROI; SQL Fluency: comfortable writing joins and aggregations to explore data; Data Visualization Chops: experience with a modern BI platform (e.g., Sigma, Tableau, Looker) and presenting data clearly; The "Translator" Superpower: elite communication skills to pitch to executive clients, align sales teams, and debate data modeling with engineers; Applicants must be currently authorized to work in the United States

Nice to have

Experience with or a desire to learn the data stack: Snowflake, DBT, Fivetran, and Sigma; Experience in complex B2B SaaS verticals, especially 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

Benefits

Health and dental insurance; 401k with company match; Flexible Time Off policy or generous PTO plan (role dependent) and paid holidays; Up to 4 weeks paid bonding leave; Tuition reimbursement; Employee Assistance Program through TotalCare (free counseling 24/7/365, financial counseling, legal guidance, adoption assistance); 24/7 access to virtual medical care with Teladoc; Quarterly awards based on peer nominations; Regional discounts and perks; Opportunities to participate in charitable events; Remote work flexibility; Extensive video libraries and live trainings for soft skill and role-specific development