Digital Marketing Manager

Docker, Inc. is a leading company in developer tooling, trusted by millions of users for building and sharing applications. They are seeking a Digital Marketing Manager to own the paid media strategy and execution, focusing on generating pipeline through effective audience targeting and campaign optimization.

Responsibilities:

• Own Docker’s paid media strategy and execution across paid search, paid social, display, and programmatic, with LinkedIn and Google as primary channels, tied to quarterly pipeline and efficiency targets rather than lead volume
• Own audience and ABM targeting end to end: first-party and install-base audiences, matched target-account lists, function, seniority, and title targeting, suppression, and retargeting, all aligned to Docker’s enterprise ICP
• Own the measurement and attribution model: platform conversion tracking (LinkedIn Insight Tag and CAPI, Google Enhanced Conversions), offline conversion import, and closed-loop reporting through Salesforce so spend maps to sourced and influenced pipeline. Report on pipeline quality, not cost per lead alone
• Own paid search directly: ad-group and keyword architecture, negative-keyword discipline, bid strategy, and spend efficiency, including not paying for terms Docker already ranks for organically
• Own budget allocation and return on ad spend across channels, with continuous testing and reallocation toward the best-performing programs and disciplined pausing of what is not working
• Own landing-page and conversion-path quality in partnership with Web and Marketing Operations: campaign-specific destinations, working forms and CTAs, and A/B testing of creative, audiences, and pages
• Serve as the strategic point of contact for Docker’s paid media agency. Set direction, briefs, GTM context, ICP, and audiences; QA the work; and hold the agency accountable to results
• Partner with Integrated Campaigns and Product Marketing to land Tier 01 product launches and ABM programs through paid, with the right assets, messaging, and destinations for each audience and buying stage
• Build and maintain performance dashboards using advanced attribution, and own paid media reporting and QBRs for Growth Marketing and marketing leadership
• Keep paid programs current with Docker’s product evolution and positioning, refreshing or retiring creative and offers as the portfolio and messaging change
• Partner with Marketing Operations on tracking, lead routing, and data integrity across all paid programs

Requirements:

• 5+ years in B2B paid media, performance marketing, or digital demand generation, ideally at a PLG and sales-led SaaS company
• Hands-on expertise building and optimizing LinkedIn Ads and Google Ads (Search) at scale across multiple paid channels
• Deep experience running paid media across multiple regions (NAMER, EMEA, and APAC): geo-targeting, region-specific audience strategy, and localized campaigns that perform in-market
• Demonstrated ownership of pipeline and efficiency targets, not activity or cost-per-lead metrics alone
• Proven experience building and owning a structured channel and experimentation framework: clear hypotheses, clean test design, statistically sound reads, and budget reallocation based on results
• Strong measurement and attribution skill: closed-loop Salesforce reporting, offline conversion import, platform conversion APIs, and the judgment to tell real pipeline quality from vanity volume
• ABM targeting experience: matched account lists, first-party audiences, function, seniority, and title targeting, suppression, and account-engagement reporting
• Agency management experience. You set direction, give the agency what it needs to succeed, and QA the output rather than hand the function off
• Comfortable owning paid search directly, not only paid social
• Fluency with the modern paid and measurement stack: Salesforce, marketing automation (e.g., Marketo or HubSpot), an ABM platform (e.g., 6sense), and GA4
• A builder-operator who owns the strategy and stays close enough to the account to know what is landing and what needs to change
• Developer-adjacent or technical audience experience preferred, and experience at a fast-growing AI company is a strong plus
• Background in containers, cloud infrastructure, AI, or open source is an advantage