F11 is a high-touch Enterprise Managed-Service Platform that automates the full campaign lifecycle for brick-and-mortar retailers and CPG brands.
Unlike traditional self-serve SaaS, we function as a sophisticated delivery engine that powers complex, locally-targeted campaigns at scale. We are redefining how physical retail connects with digital audiences, driving tangible store revenue uplift through proprietary automation.
We are seeking a Senior Product Manager to own an essential module within our Delivery Engine . This module is the foundational core of our platform, the proprietary delivery engine that translates store-level inputs (budgets, locations, audience data) into optimised, hyper-local media plans across our publisher and platform network.
In this role, you will be the bridge between complex data science and operational media excellence . You are not building for external end-users; you are building for our internal team of expert Media Planners. Your success is measured and reflected by the intelligence, efficiency, and revenue-driving capability of the automation you build.
Own the Engine: Drive the strategy, roadmap, and execution for our Media Planning Module.
Solve for Complexity: Translate the nuances of retail-local advertising into scalable software logic.
Collaborate with Data Science: Define precision metrics, evaluate allocation logic, and spec model improvements. You will work side‑by‑side with engineers and data scientists to refine our proprietary algorithms.
Drive Operational Excellence: Obsess over how our Media Experts use the tool to eliminate friction and maximise the quality of automated media planning.
Bridge Business & Tech: Maintain a high‑level view of how planning inputs translate into business outcomes while ensuring the technical feasibility and integrity of the underlying models.
5+ years of product management experience, with at least 3 of those years specifically in SaaS AdTech or MarTech , focusing on planning or media tooling .
You possess a profound understanding of media planning (reach/frequency, geographic budget allocation, demographic targeting, and media mix).
You have worked at or deeply with planning software or equivalent . You know exactly where current industry tools succeed and where they fall short.
You are comfortable working with complex, algorithmic products . You can hold a technical conversation about model inputs/outputs without needing to code them yourself.
You are motivated by building high-performance internal tooling . You thrive in environments where the "customer" is your internal team, and the "product" is operational speed and intelligence.
Fluency in English is required; German language proficiency is a significant plus.
The "Dual Perspective": You have seen planning from both sides: as a software vendor and as an agency/brand-side strategist.
ML Fluency: You have experience with ML-assisted features like budget recommendation engines, reach forecasting models, or audience allocation algorithms.
System Thinker: You can simultaneously discuss the nuances of Store Revenue Uplift (business logic) and the I/O requirements of an allocation model (engineering logic).
Impact: You will own the foundational logic of a platform that is actively changing how physical retail operates.
High-Touch/High-Utility: We prioritize functional depth and automation quality over superficial UI/UX polish.
Fast-Paced: We operate with agility, avoiding the long, consensus-driven roadmaps found in large, traditional enterprises.
Veröffentlichungsdatum:
30 Jul 2026Standort:
MünchenTyp:
VollzeitArbeitsmodell:
Vor OrtKategorie:
Erfahrung:
2+ yearsArbeitsverhältnis:
Angestellt
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