Growth Marketing Strategy & Planning Manager

Join our team as a Growth Marketing Strategy & Planning Manager. In this high visibility role, you will be responsible for setting annual and quarterly targets for the Growth marketing organization, conducting marketing ROI analysis, and supporting executive reporting and cross-functional alignment. You will also own the Growth pipeline model, analyze marketing experiments, and manage capacity and headcount planning. The ideal candidate will have 4 to 7 years of experience in marketing analytics, GTM/marketing strategy, revenue operations analytics, FP&A or business intelligence within a B2B SaaS environment.

• Responsable de la définition des objectifs annuels et trimestriels pour l'organisation marketing de croissance, y compris les objectifs par canal et l'allocation budgétaire.
• Analyse des expériences marketing (pages de destination, séquences d'e-mails, créations publicitaires, offres) pour conduire une amélioration continue.
• Posséder le modèle de pipeline de croissance, alignant la contribution source et influencée à travers les partenaires, les ventes, le BDR et le marketing.

• Understanding of B2B SaaS performance metrics: pipeline, ACV, conversion rates, velocity, marketing-sourced vs. influenced pipeline, and attribution concepts
• Ability to independently structure ambiguous problems, move quickly, and drive them to clear, actionable recommendations
• Comfortable with SQL, Excel/google sheets and BI/visualization tools like Looker to move quickly through data
• Working knowledge of Salesforce (reports, dashboards, opportunity data), marketing automation platforms (Marketo preferred), and ad platforms (Demandbase, Google Ads, LinkedIn Ads, chatgpt Ads, etc)
• Strong planning and financial-modeling skills: comfortable building target, budget, and pipeline-coverage models from ambiguous inputs
• Clear point of view and the confidence to challenge assumptions and bring data-backed perspectives to senior stakeholders, including a VP
• 4 to 7 years of experience in marketing analytics, GTM/marketing strategy, revenue operations analytics, FP&A or business intelligence within a B2B SaaS environment
• Comfort operating in a fast-changing environment where definitions, targets, and operating models are still evolving, and the ability to balance speed with rigor
• Background in data infrastructure, developer tools, or analytics software industries
• Familiarity with the modern data stack (Fivetran, dbt, Snowflake, Looker)
• Experience with predictive modeling: LTV estimation, propensity scoring, or cohort analysis applied to marketing audiences
• Exposure to experiment design, significance testing, or applied statistics in a marketing context
• Experience with multi-touch attribution platforms (Bizible/Marketo)
• Python or R proficiency for statistical analysis, automation, or building lightweight models