Zeely – AI Admaker
Jobs at Zeely – AI Admaker
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Recently posted jobs
AdTech • Artificial Intelligence • Marketing Tech
Own Zeely’s Experience & Monetization area across web and mobile. Drive onboarding, activation, retention, product utilization, subscription plans, B2C monetization, and the transition toward B2B and hybrid models. Responsibilities include pricing and tier design, B2B organizations and seats, agentic feature monetization, product discovery, UX consistency, roadmap prioritization, and data-driven experimentation focused on retention, churn, and revenue.
AdTech • Artificial Intelligence • Marketing Tech
Own and optimize payment infrastructure and billing operations: manage payment orchestration, provider relationships, acceptance rates, routing, recurring payments, and reporting. Collaborate with Product, Finance, Risk, and Engineering to improve payment performance and customer billing experience.
AdTech • Artificial Intelligence • Marketing Tech
Own the full B2B sales cycle from qualified lead through contract signing. Responsibilities include strategic discovery, tailored product demonstrations, proposals, pricing, negotiations, pipeline and forecast management, stakeholder relationship building, and closed-won handoffs. The role partners with SDR and Marketing teams to improve funnel performance and helps establish Zeely’s B2B sales playbook. Candidates need 5+ years of B2B sales experience, MarTech, AdTech, or SaaS expertise, international selling experience, and strong performance marketing knowledge.
AdTech • Artificial Intelligence • Marketing Tech
Build Zeely’s B2B sales function from scratch, including hiring and managing the team, developing the ICP and sales process, personally closing enterprise deals, and owning revenue growth. The role manages forecasting, reporting, P&L, unit economics, gross margin, customer acquisition, renewals, and global expansion. Candidates need substantial B2B sales leadership experience, enterprise selling expertise, team-building experience, strong closing skills, and fluent English for US negotiations.
AdTech • Artificial Intelligence • Marketing Tech
Conduct client discovery, analyze marketing workflows, develop tailored implementation roadmaps, present solutions to senior stakeholders, integrate Zeely into client processes, coordinate cross-functional implementation, track adoption and results, and build B2B implementation playbooks.
AdTech • Artificial Intelligence • Marketing Tech
The Motion Designer will create engaging video ads for social media, edit UGC content, and collaborate on new video concepts and marketing materials.
AdTech • Artificial Intelligence • Marketing Tech
The Marketing Operations Manager will optimize marketing processes and automation, utilizing AI and coordinating with teams to enhance creative output and efficiency.
AdTech • Artificial Intelligence • Marketing Tech
The Creative Marketing Manager will develop high-converting video content, analyze performance data, and manage social media campaigns to boost growth for Zeely AI.
AdTech • Artificial Intelligence • Marketing Tech
Develop and maintain back-end web applications, design REST APIs, manage databases, integrate third-party APIs, and optimize performance.
AdTech • Artificial Intelligence • Marketing Tech
Lead cross-functional operational audits, identify bottlenecks, design and implement scalable processes (SOPs, RACI, process maps), drive automation opportunities, measure impact, and partner with department leaders to improve efficiency using Jira and Tableau.
AdTech • Artificial Intelligence • Marketing Tech
Lead a 5-person mobile team while spending ~80% hands-on developing and maintaining Flutter apps. Drive architecture, code quality, testing, CI/CD, app publishing, debugging, and collaboration with product to deliver scalable, reliable mobile solutions.
AdTech • Artificial Intelligence • Marketing Tech
Lead and scale the backend team and architecture for a high-growth AI product. Own AI Gateway, generative pipelines, and mission-critical backend services; ensure reliability, scalability, observability, and cost-efficient AI orchestration across models and providers. Mentor engineers, manage performance, collaborate cross-functionally, and drive infrastructure and operational excellence.



