Technical Product Manager - AI & Data Analytics
About The Position
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.
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. (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.
Nice To Haves
- 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—is a massive plus. These industries are sitting on massive, unoptimized datasets ripe for AI disruption.
- Familiarity with Python or R for lightweight data analysis.
- Experience working around the machine learning lifecycle or productionized models.
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.
Benefits
- health and dental
- 401k with company match
- Flexible Time Off policy or generous PTO plan (role dependent)
- paid holidays
- Up to 4 weeks paid bonding leave
- Tuition reimbursement
- Robust Employee Assistance Program through TotalCare offering free counseling 24/7/365, plus financial counseling, legal guidance, adoption assistance services and much more!
- 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 and give back to the community
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
