• Ensure uninterrupted data flow between marketing and sales. • Apply a continuous questioning mindset and data-driven experimentation. • Respond quickly and prioritize initiatives that genuinely impact growth. • Identify funnel bottlenecks and establish SLAs between teams and workstreams. • Ensure that technology (CRM, Marketing Automation and BI) serves as the "single source of truth" for decision making.

• Set and own the strategy for new user acquisition across paid and unpaid channels, with an early focus on social and influencer partnerships • Personally run growth experiments end to end—defining hypotheses, launching tests, analyzing results, and making scale/kill decisions • Identify and validate new acquisition channels through scrappy, manual approaches first, then scale successful bets via agencies, tooling, and automation • Establish clear success metrics and ROI thresholds to guide investment and prioritization • Partner closely with Product and Creative and Product Marketing to test value propositions, landing experiences, and onboarding flows that improve conversion • Build a durable experimentation and measurement framework that enables fast iteration across messaging, targeting, and funnel steps • Leverage external resources and modern tools (including AI) to maximize impact without overbuilding internal teams • Help shape the long-term growth marketing muscle at ClassDojo, with potential to take on people leadership as impact is proven

• Build the Growth Engine: Define and execute a portfolio-wide strategy across acquisition, activation, retention, and monetization. • Institutionalize Experimentation: Establish a standardized system for A/B testing. • Optimize the Funnel: Improve and manage key metrics across all products. • Lead through Execution: Generate bold, creative hypotheses to unlock new revenue. • Collaborate Cross-Functionally: Work directly with Founders, Product, Performance Marketing, and Engineering. • Team Building: Act as a "player-coach", leading the development team.

• Design and lead a high-velocity A/B and multivariate testing roadmap across channels, campaign types, ad creatives and audience segments. • Provide data-backed briefs that tell Channel Managers exactly where to pivot spend based on test winners. • Go beyond standard reporting to "mine" data for untapped growth levers. Identify patterns that haven't been scaled and propose the business case for expansion. • Stay at the bleeding edge of ad platform capabilities (Google, Meta, LinkedIn). Experiment with "alpha/beta" features to ensure our stack is consistently ahead of industry benchmarks. • Continuously refine our multi-touch attribution (MTA) and Media Mix Modeling (MMM) models to measure the incremental impact of non-linear B2B buyer journeys. • Partner with Analytics Engineering to build clean, scalable data models in Snowflake (via dbt) that specifically track experiment lift and incrementalities, and present their performance metrics in dashboard.