Growth Marketing Strategy & Planning Manager
- New York, United States
- Mid Level
- 4+ years
- Posted
Skills
Required
- analytics
- marketing analytics
- Marketo
- Looker
- statistical analysis / automation / building lightweight models
- GTM/marketing strategy
- revenue operations
- FP&A
- Salesforce
- SQL
- Python
Preferred
- pipeline
- SaaS performance metrics
- conversion rates
Join our team as a Growth Marketing Strategy & Planning Manager. In this high visibility role, you will be responsible for setting marketing-level targets, making investment decisions, and analyzing marketing performance. You will work closely with marketing leadership and have direct exposure to senior stakeholders. The ideal candidate will have 4 to 7 years of experience in marketing analytics or strategy within a B2B SaaS environment.
USD 150,573 - 188,216
Responsibilities
- 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.
- Partenaire avec l'équipe d'analyse pour concevoir et maintenir des modèles quantifiant l'impact des programmes marketing à travers le parcours d'achat.
- Clear point of view and the confidence to challenge assumptions and bring data-backed perspectives to senior stakeholders, including a VP
- Understanding of B2B SaaS performance metrics: pipeline, ACV, conversion rates, velocity, marketing-sourced vs. influenced pipeline, and attribution concepts
Requirements
- 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
- 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
- Comfort operating in a fast-changing environment where definitions, targets, and operating models are still evolving, and the ability to balance speed with rigor
- Comfortable with SQL, Excel/google sheets and BI/visualization tools like Looker to move quickly through data
- Ability to independently structure ambiguous problems, move quickly, and drive them to clear, actionable recommendations
- 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
Experience with multi-touch attribution platforms (Bizible/Marketo)
- Exposure to experiment design, significance testing, or applied statistics in a marketing context
- Python or R proficiency for statistical analysis, automation, or building lightweight models
