Appspace is dedicated to enhancing work experiences globally and is seeking a Digital Marketing Manager to lead their paid media initiatives. The role focuses on managing significant advertising budgets across various channels to drive pipeline contributions and optimize website performance for conversions.
Responsibilities:
- Manage and allocate multi-channel paid media budgets across Google Ads (Search, Display, P-Max), LinkedIn Campaign Manager, 6sense, and Meta Ads—continuously rebalancing based on pipeline contribution and cost-per-opportunity
- Build and maintain always-on advertising programs alongside point-in-time campaign bursts, ensuring consistent pipeline coverage throughout the fiscal year
- Develop quarterly paid media plans grounded in buyer persona research, intent data, and competitive analysis; translate strategy into channel-specific execution plans with clear KPIs
- Define and own paid media KPIs: CTR, CPC, CPL, cost-per-MQL, cost-per-opportunity, ROAS, and pipeline-influenced revenue. Report weekly to senior leadership
- Run structured A/B tests on ad copy, creative, audience segments, bidding strategies, and landing pages; document results and scale winners systematically
- Design and test ad creative and copy by leveraging AI generation tools alongside content and design teams—using performance data to drive the next iteration of brand assets
- Leverage B2B intent data and account-intelligence platforms (e.g., 6sense, Demandbase, Bombora) to build targeted ABM ad campaigns aligned with Sales outbound targets
- Stay current with platform algorithm changes (Google’s AI-driven bidding, LinkedIn audience expansion, Meta Advantage+) and adapt strategies proactively
- Measure and monitor the Appspace website’s health, performance, and conversion rates; share regular dashboards with marketing leadership and stakeholders
- Optimize web content, layout, structure, and UX for both human conversions (CRO) and AI-engine discoverability (SEO/AEO), ensuring Appspace surfaces across both traditional search and AI-powered discovery
- Manage and coordinate with Appspace’s external SEO agency—set deliverables, hold the agency accountable to results, and integrate SEO insights into paid media and content strategies
- Implement and maintain website tracking through Google Tag Manager
- Feed paid media performance data, search intent trends, and AI-discovery insights back into the content engine—partnering with creative, copywriting, and content teams so messaging continually evolves based on real-time market signals
- Work hand-in-hand with Revenue Operations to manage multi-touch attribution models, ensuring all digital spend is mapped to pipeline velocity and closed-won revenue
- Support integrated campaigns by handling all paid advertising components: planning, audience building, ad construction, trafficking, and measurement
- Contribute to quarterly and annual marketing planning by providing paid media performance data and forward-looking budget recommendations
Requirements:
- 5+ years managing substantial B2B SaaS paid media budgets with demonstrable results—specific experience driving pipeline from Google Ads, LinkedIn, and Meta is essential
- Hands-on use of AI-driven marketing workflows—ad copy generation, audience modeling, bid optimization, and creative testing at scale
- Expert-level command of Google Ads, LinkedIn Campaign Manager, Meta Ads Manager, GA4, GTM and SFDC reporting
- Practical experience using B2B intent platforms (6sense, Demandbase, or equivalent) to build targeted account-based campaigns in close partnership with Sales
- Ability to move beyond surface-level reporting—interpret multi-touch attribution, journey-aware bidding signals, and predictive analytics to make budget decisions with confidence
- Solid understanding of CMS management, landing page builders (e.g., Unbounce, Webflow), and conversion rate optimization best practices
- Comfortable tying digital spend directly to pipeline and closed-won revenue; you speak the language of Sales and RevOps, not just marketing
- A bias for action and experimentation in a fast-changing landscape where AI platforms and buyer behaviors shift quickly