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 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 141,162 - 176,452

Responsibilities

• Own annual and quarterly target setting for the Growth marketing organization, including channel-level targets and budget allocation driven by a documented planning model.
• Support the weekly and monthly business review process: prepare data and partner with leadership to build a narrative that converts data into actionable insights.
• Analyze marketing experiments (landing pages, email sequences, ad creative, offers) to drive continuous improvement.
• Understanding of B2B SaaS performance metrics: pipeline, ACV, conversion rates, velocity, marketing-sourced vs. influenced pipeline, and attribution concepts
• Working knowledge of Salesforce (reports, dashboards, opportunity data), marketing automation platforms (Marketo preferred), and ad platforms (Demandbase, Google Ads, LinkedIn Ads, chatgpt Ads, etc)

Requirements

• 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
• 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