• Take full responsibility for one or more paid acquisition channels, with the opportunity to expand scope based on results • Scale existing campaigns while maintaining efficiency targets • Build and refine acquisition funnels with a strong focus on measurable growth • Run rapid testing cycles across creatives, audiences, and placements to improve key metrics such as CAC and LTV • Monitor and evaluate campaign performance on a daily basis using tools such as GA4, Voluum, and internal dashboards • Translate data into actionable insights, focusing on CPA, ROAS, retention, and cohort performance • Develop and maintain reporting frameworks that support both strategic planning and day-to-day decision-making • Lead the creative briefing process by defining angles, messaging, and formats based on performance data • Collaborate with content and product teams to launch and optimize high-converting landing pages • Continuously test and refine funnels to improve conversion rates and reduce creative fatigue • Build and manage relationships with traffic sources, including negotiating placements and custom deals • Identify and evaluate new acquisition channels, tools, and formats • Stay informed on platform updates, policy changes, and algorithm shifts, adapting strategies accordingly • Identify opportunities to streamline workflows through automation and internal tooling • Create structured processes, playbooks, and experimentation frameworks to enable scalable growth

• Set the global paid search vision across mid-market and enterprise segments, with AI-augmented workflows built into every layer • Use Google Ads MCP server integrations to automate campaign management, surface insights, and act on signals faster than manual workflows allow • Deploy AI agents for automated bid adjustments, budget pacing, and anomaly detection across Google and Microsoft Ads • Use Claude Enterprise, Gemini for Ads, and Performance Max AI for keyword research, match type analysis, negative keyword mining, and query categorization • Build and scale AI-generated ad copy and creative testing frameworks — structured, hypothesis-driven, and continuous • Drive bid strategy through AI-powered models, value-based bidding (VBB), and audience signals (RLSA, Customer Match, CRM-based targeting) • Develop SEM playbooks that embed AI into every repeatable workflow, from campaign builds to performance reporting • Partner with Analytics and Data teams to ensure end-to-end visibility into ROI, pipeline contribution, and attribution across campaigns • Own annual and quarterly budget planning, pacing, and forecasting • Close the loop between ad spend and pipeline contribution, from first click to closed-won, in partnership with Analytics • Maintain campaign hygiene: naming conventions, UTM governance, conversion imports, and offline event tracking • Stay ahead of platform AI betas and algorithm updates through direct relationships with Google and Microsoft reps

• Assist in the setup, deployment, and management of multi-channel marketing campaigns • Work within our Marketing Tech Stack to build landing pages, email templates, and automated nurture sequences • Monitor lead flow from marketing campaigns to the sales team • Track and report on key performance indicators (KPIs) such as click-through rates and conversion rates

• Develop and execute a comprehensive demand generation strategy tied directly to pipeline and revenue goals. • Build programs that consistently generate high-quality, sales-ready opportunities. • Leverage AI and automation to improve targeting, personalization, lead scoring, and campaign execution. • Apply predictive analytics to identify high-intent prospects and improve conversion and efficiency. • Continuously evaluate and integrate emerging AI-driven tools into the marketing stack. • Own the funnel from acquisition through conversion, continuously improving conversion rates and pipeline velocity. • Partner closely with Sales and RevOps to ensure strong alignment, clean handoffs, and pipeline quality. • Plan and execute campaigns across channels (paid media, email, content, webinars, events, etc.). • Allocate budget and effort based on performance and ROI. • Build and refine reporting frameworks to measure performance across campaigns and channels. • Translate data into actionable insights that drive decision-making and resource allocation. • Run a high-velocity testing roadmap across messaging, audiences, channels, and offers. • Scale what works and rapidly iterate on what doesn’t. • Partner with Product Marketing on positioning and messaging. • Align with Sales on ICP definition, targeting, and pipeline feedback loops. • Collaborate with RevOps and data teams to ensure scalable systems and accurate reporting.