Commercial Planning Manager
Quick Summary
đ Mission: At Too Good To Go, we have an ambitious mission: to inspire and empower everyone to fight food waste together. More than 1/3 of all food produced in the world is wasted,
đ Mission: At Too Good To Go, we have an ambitious mission: to inspire and empower everyone to fight food waste together. More than 1/3 of all food produced in the world is wasted, which has a huge impact on our planet - 10% of greenhouse gas emissions, to be exact.
About the Role
~2 min readWeâre looking for a Commercial Planning Manager to join the Parcels Planning team.
This role sits at the heart of how we plan, forecast and trade the Parcels business. Youâll be responsible for designing the planning methodologies, forecasting frameworks and analytical approaches that translate commercial ambition into robust, evidence-based plans in direct partnership with our advanced analytics team/Data Scientists, helping the business understand where we are heading, and making sure we have the right planning foundations in place to support growth. The team combines commercial judgement with statistical modelling, causal inference, AI and decision science to support better business decisions.
Youâll own the commercial planning methodology across budgeting, rolling forecasting, latest estimates and scenario planning, ensuring planning outputs are statistically robust, commercially relevant and operationally actionable. Youâll work closely with Commercial leaders, Logistics, Finance and country teams to make sure we have a clear view of demand, revenue, margin and the actions needed to deliver against our targets.
This role is not just about running the planning cycle. Itâs about transforming how commercial planning is performed by combining statistical modelling, causal analysis, AI-assisted workflows and automation to build a faster, more accurate and more scalable planning capability.
We are specifically looking for someone who has already used tools like Claude, ChatGPT, Gemini or other AI/automation tools to improve budgeting, forecasting, planning or analytical processes. This could include using AI to improve forecast accuracy, improve model calibration, automate variance analysis, speed up budget builds, validate assumptions, generate planning commentary, build scenario models or make planning outputs more consistent and scalable.
This is a great role for someone who is commercially sharp, comfortable working with data, and has practical experience using AI and automation to improve how planning is done.
Responsibilities
~2 min read- âYouâll help redesign the budget and forecasting process using better data, smarter tools, automation and AI-assisted workflows.
- âYouâll use AI tools in a practical way to improve planning accuracy, reduce manual work, validate assumptions, generate insight and make forecasting easier to repeat and explain.
- âYouâll own about transforming how commercial planning is performed by combining statistical modelling, causal analysis, AI-assisted workflows and automation to build a faster, more accurate and more scalable planning capability,, moving the team away from manual or fragmented ways of working and towards more scalable, data-led planning.
- âYouâll lead core commercial planning processes across Parcels, including budgeting, 4+8 forecasting, monthly latest estimates and re-forecasting cycles.
- âYouâll build a clear view of expected performance across key markets, helping the business understand risks, opportunities and the actions needed to close gaps.
- âYouâll partner closely with Commercial and country teams to understand market performance, customer demand, sales trends, pricing, conversion and order behaviour.
- âYouâll run ad hoc commercial deep dives into areas such as demand, revenue, AOV, margin, item availability, market trends and customer behaviour.
- âYouâll work with Finance to make sure forecasts are commercially grounded, clearly explained and connected to business targets.
- âYouâll support the AD of Planning in building a stronger planning rhythm for Parcels, including clearer reporting, better governance and improved decision-making forums.
Requirements
~2 min read- Experience in commercial planning, business planning, trading, merchandising, demand planning, finance, strategy or a similar commercially focused role.
- Experience designing, implementing and improving large statistical forecasting models and translating them into actionable commercial forecasts.
- A practical understanding of how to use AI responsibly in a business planning context, including where it can add value and where human judgement, governance and validation are still critical.
- Practical experience using AI tools such as Claude, ChatGPT, Gemini or similar to improve budgeting, forecasting, planning, reporting or analytical processes.
- Strong understanding of forecasting methodologies including time series forecasting, regression modelling, seasonality, trend decomposition, demand sensing and modelling.
- Experience evaluating forecast accuracy using appropriate statistical measures such as MAPE, WAPE, RMSE, bias or similar metrics.
- Experience improving planning processes through automation, AI-assisted workflows, better data structures or more scalable tools.
- Strong analytical skills, with the ability to work with large datasets and turn them into clear commercial insight.
- Comfortable working with revenue, margin, pricing, demand, conversion, forecast accuracy or similar commercial KPIs.
- Strong Excel or Google Sheets skills. Experience with Looker, SQL, Python, Apps Script or other BI/automation tools would be a plus.
- A strong commercial mindset, with the ability to connect numbers to business decisions.
- Good stakeholder management skills, with the confidence to work across Commercial, Finance, Data, Logistics and country teams.
- A structured, organised way of working, with the ability to bring clarity to complex or ambiguous topics.
- Budgeting and forecasting processes become faster, more structured and easier to repeat.
- AI and automation are used practically to reduce manual work, improve accuracy and support better decision-making.
- Commercial risks and opportunities are identified earlier and translated into clear actions.
- Forecast assumptions, risks and opportunities are easier to explain, challenge and validate.
- Planning outputs are trusted by Commercial, Finance and leadership teams.
- The Parcels team spends less time debating numbers and more time acting on them.
- We win together: Food waste is a big beast to fight. We believe in a #oneteam.
- We raise the bar: We always push for more. We work smart, smash barriers and elevate one another.
- We keep it simple: Our ambitions are bold but our solutions are simple.
- We build a legacy: Weâre proud of the change weâre driving.
- We care: We always look out for each other. Caring is also about the way we do business. We do the right thing.
What We Offer
~1 min read- We are passionate about recruitment and grateful for your interest! Please carefully read everything written above and check out our website and international media to get a good overview of Too Good To Go.
- Submit your Resume and Cover letter in English.
- Please note that we only accept applications coming through our platform. Resumes and/or Cover Letters will not be accepted by email or LinkedIn direct messaging.
- The application process consists of a short video call with Talent Acquisition, followed by an interview with the hiring manager, and a final interview with the Associate Director of Planning and the Global Director of Buying and Sourcing.
A Movement for Everyone
We want to inspire and empower everyone to fight food waste together. With that mission, itâs only natural that we want to build a diverse and inclusive team of highly capable individuals who are passionate about doing things in a better way. We strongly believe we all excel and are more creative when weâre allowed to be ourselves, and weâre committed to a culture where all of us belong.
We are an equal opportunity employer and all employment is decided on the basis of qualifications, merit and business need. If you need reasonable accommodation at any point in the application or interview process, please let us know.
Location & Eligibility
Listing Details
- Posted
- June 30, 2026
- First seen
- June 30, 2026
- Last seen
- June 30, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 60%
- Scored at
- June 30, 2026
Signal breakdown
Please let Toogoodtogo know you found this job on Jobera.
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