Technical Product Manager - AI & Data Analytics

Job description

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. If you want to move away from internal tooling and actually ship AI/ML features that drive massive, quantifiable ARR, this is your playground. This job is remote in the US **Please note:** 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. ### WHAT YOU'LL DO: #### **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. ### **What You’ll Bring to the Table** - **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. (We care about your analytical problem-solving, not whether you memorized advanced syntax). - **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. ### WHO YOU ARE: - Great product minds don’t all follow the same blueprint. You likely fall into one of these buckets: - **The Seasoned Data PM:** You already build data products but want a more visible, customer-facing role where you can co-develop directly with clients on a modern stack. - **The Data-Obsessed SaaS PM:** You manage a standard SaaS product, but you secretly spend all your time in SQL, building dashboards, and lurking in the analytics team's Slack channels. You're ready to make Data/AI your full-time focus. - **The Product-Minded Analyst:** You're a Senior Data Analyst or BI Developer who doesn't just answer *"what happened?"* but actively tells stakeholders *"what's next."* You’ve been "unofficially" product-managing your work for a while and are ready to make it official. ### WHAT YOU'LL BRING: - **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. (We care about your analytical problem-solving, not whether you memorized advanced syntax). - **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. ### WHAT WOULD ALSO BE AWESOME: - **Our Stack:** Experience with (or a burning desire to learn) our modern data stack: **Snowflake, DBT, Fivetran, and Sigma.** - **Industry Context:** Experience in complex B2B SaaS verticals—especially physical operations like Field Services (logistics, routing, dispatch) or Building Services—is a massive plus. These industries are sitting on massive, unoptimized datasets ripe for AI disruption. - **Coding Lite:** Familiarity with Python or R for lightweight data analysis. - **AI/ML Exposure:** Experience working around the machine learning lifecycle or productionized models.