Top Tech Jobs & Startup Jobs

Manage and optimize paid lead-generation campaigns across search, social, native, display, and other digital channels. Drive lead volume, quality, conversion rates, cost efficiency, and return on ad spend through data analysis and testing. Lead digital marketing strategy, collaborate with media partners and affiliates, oversee funnel growth, and communicate performance insights and recommendations. The role is hands-on and focused on scaling profitable acquisition programs.

Lead digital acquisition strategy and execution across paid search, social, native, display, and other channels. Optimize campaigns for lead volume, quality, conversion rate, cost efficiency, and return on ad spend. Analyze performance data, test landing pages, creative, targeting, call flows, and traffic sources, while managing relationships with partners, publishers, affiliates, and internal teams. Provide reporting and recommendations to scale profitable lead generation programs.

Own and scale paid social, native, display, and programmatic advertising for Home Services and Automotive. Lead strategy and hands-on campaign execution, manage substantial budgets, improve lead quality and conversion economics, establish testing and measurement systems, integrate AI into workflows, and build a scalable paid media team and operating model. Partner with cross-functional teams and communicate performance insights, risks, and investment recommendations to senior leadership.

Prospect and qualify B2B clients through cold outreach, networking, and presentations. Build and maintain the sales pipeline, schedule meetings, negotiate and close contracts, identify strategic account opportunities, and collaborate with Client Success. Track sales activities and KPIs in the CRM, maintain customer relationships, meet quotas, and travel to conferences and prospective customers as needed.

Build and maintain scalable data pipelines, cloud data platforms, warehouses, semantic layers, and data integrations. Ensure data reliability, quality, security, and accessibility while supporting MLOps, predictive modeling, AI-assisted workflows, dashboards, reporting, and self-service analytics. Collaborate with stakeholders, select data tools, develop databases, and produce technical documentation.