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Sr. Product Manager - Media Planner

Job in Washington, District of Columbia, 20022, USA
Listing for: Factor Eleven
Full Time position
Listed on 2026-09-29
Job specializations:
  • IT/Tech
    Data Analyst, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
Position: Sr. Product Manager - Media Planner (all genders)

About F11

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  are redefining how physical retail connects with digital audiences, driving tangible store revenue uplift through proprietary automation.

The Role

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.

What You Will Do
  • 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.

Who You Are
  • 5+ years of product management experience, with at least 3 of those years specifically in SaaS AdTech or Mar Tech , 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

What Makes You Exceptional
  • 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).

Why F11?
  • 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.

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