Primary Skills: Product-Led Growth (advanced), Experimentation Program Ownership (advanced), SaaS Monetization (advanced), AI-Powered Workflows (intermediate), Behavioral Data Analysis (advanced)
Contract: W2
Location: San Francisco, CA(#LI-Remote)
Duration: 8 months
Pay Range:$70-75 Per Hour
#LP
JOB SUMMARY:
Client is seeking a Growth Marketing Manager to drive growth within its SMB eCommerce business through Product-Led Growth (PLG) strategies and AI-powered execution. This role focuses on optimizing activation, monetization, expansion, and upgrade journeys within a self-serve SaaS environment. The ideal candidate has successfully owned experimentation programs end-to-end, leveraged product usage data to identify growth opportunities, and thrives in fast-paced environments where decisions must be made with imperfect data.
JOB REQUIREMENTS:
Own and optimize the SMB growth funnel across activation, conversion, expansion, cross-sell, and upgrades.
Design, prioritize, execute, and scale structured experimentation programs.
Translate product usage and behavioral data into actionable growth hypotheses.
Partner with Product, Analytics, Lifecycle Marketing, and eCommerce teams to drive growth initiatives.
Strengthen Product Qualified Lead (PQL) motions using engagement and behavioral signals.
Develop reporting frameworks and dashboards to measure monetization, retention, and conversion impact.
Leverage AI-powered tools, workflows, and automation to accelerate experimentation and operational efficiency.
Manage growth initiatives from strategy through execution and analysis.
Must have Skills:
Proven ownership of a structured experimentation program end-to-end (prioritization, test design, execution, analysis, iteration).
Strong Product-Led Growth (PLG) experience within a self-serve SaaS environment.
Hands-on experience driving activation, trial-to-paid conversion, upsell, expansion, or monetization initiatives.
Experience working with product usage data to identify growth opportunities and build experimentation roadmaps.
Demonstrated bias toward action and ability to make decisions with incomplete or messy data.
Strong analytical skills with tools such as Amplitude, Mixpanel, Adobe Analytics, Optimizely, or similar.
Experience collaborating with Product, Analytics, Engineering, and Marketing teams.
Industry Experience:
This role requires experience in the SaaS industry, specifically within self-serve models where product engagement drives customer conversion and expansion.
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