Growth Marketing Strategy & Planning Manager (B2B SaaS)

Location: Hybrid position based in the United States, with one to two days per week in an office in Oakland, Denver, Austin, or New York City.

Salary: $150,573–$188,216 USD annually.

Company

Builds data infrastructure that helps organizations move, transform, govern, and analyze data for analytics, AI, and business decisions.

What you will do

• Own annual and quarterly growth marketing targets, budgets, channel allocation, and marketing ROI analysis.
• Build segment, regional, buyer-journey, pipeline, coverage, conversion, and velocity models.
• Prepare executive business reviews and translate performance data into actionable investment recommendations.
• Align product marketing, product, sales, BDR, marketing, Finance, and Field Operations around ICP, pipeline contribution, and revenue targets.
• Analyze and design experiments across landing pages, email sequences, advertising, offers, and self-serve funnel interventions.
• Lead capacity and headcount planning, modeling trade-offs between staffing, program spend, and pipeline output.

Requirements

• 4–7 years of experience in marketing analytics, GTM or marketing strategy, revenue operations analytics, FP&A, or business intelligence within B2B SaaS.
• Strong planning and financial-modeling skills, including target, budget, and pipeline-coverage models.
• Understanding of B2B SaaS metrics such as pipeline, ACV, conversion, velocity, sourced and influenced pipeline, and attribution.
• Comfort with SQL, Excel or Google Sheets, and BI or visualization tools such as Looker.
• Working knowledge of Salesforce, marketing automation platforms such as Marketo, and advertising platforms including Demandbase, Google Ads, LinkedIn Ads, and ChatGPT Ads.
• Ability to work in a hybrid model from Oakland, Denver, Austin, or New York City, with one to two office days per week.

Nice to have

• Python or R proficiency for statistical analysis, automation, or lightweight models.
• Experience with multi-touch attribution, experiment design, significance testing, predictive modeling, LTV estimation, propensity scoring, or cohort analysis.
• Familiarity with Fivetran, dbt, Snowflake, and the modern data stack.
• Background in data infrastructure, developer tools, or analytics software.

Culture & Benefits

• Hybrid work combining remote flexibility with in-person collaboration.
• Employer-paid medical insurance, subject to country and worker type.
• Paid vacation or flexible or unlimited vacation depending on role and country, paid sick time, parental leave, holidays, and volunteer days.
• RSU stock grants, professional development, and training opportunities.
• Virtual social events, team-building activities, a cell phone stipend, and mental health support.