Jobs at Launch Potato

Execute and optimize high-traffic landing page and funnel tests across devices and user journeys. Build, QA, launch, analyze, and document experiments involving copy, UI/UX, advertiser order, and lead forms. Monitor multiple KPIs, identify conversion improvements, ensure accurate tracking, and collaborate with copy, design, media, and optimization teams to deliver reliable, revenue-driving performance marketing outcomes.

Manage affiliate publishers across insurance, personal finance, and other regulated verticals. Own publisher relationships, revenue and margin targets, compliance monitoring, diversification, and proactive performance optimization. Use affiliate tracking and compliance platforms to identify opportunities, resolve constraints, scale partner performance, and drive incremental margin. Build and maintain publisher relationships while sharing optimization insights with the team.

Manage affiliate publisher relationships across insurance, personal finance, and other regulated verticals. Own account growth, revenue and margin targets, compliance monitoring, partner diversification, optimization, and end-to-end performance. Use affiliate tracking and compliance platforms to identify issues and scale opportunities. Build publisher relationships, resolve compliance barriers, improve partner assets, and share successful strategies with the team.

Owns Meta and TikTok paid social for auto insurance, including budget and bid strategy, margin performance, creative testing, attribution, compliance, landing-page optimization, and channel scaling. The role requires hands-on daily buying, direct accountability for contribution margin, collaboration with creative, product, compliance, and insurance leadership, and development of a repeatable paid-social playbook.

Own end-to-end data science for a priority vertical (starting with Insurance): frame business problems, build and validate models, partner with ML engineering for deployment, monitor live ROAS performance, and drive measurable revenue and lead quality improvements.

Lead end-to-end applied data science for a priority vertical (starting with Insurance), from problem framing to deployed models and live ROAS performance. Build, validate, monitor, and iterate ML models for paid media, ad ranking, recommendation, LTV and funnel optimization, partnering with ML engineering and business stakeholders to drive measurable revenue and lead quality improvements.

Lead end-to-end applied ML for an adtech vertical (Insurance): frame business problems, build and validate models, partner with ML engineering for deployment, monitor live ROAS, and drive measurable lead quality and revenue improvements.

Lead end-to-end data science for a priority vertical (Insurance), building, validating, and deploying ML models that drive ROAS and lead quality. Partner with stakeholders and ML engineering to monitor live performance, iterate models, and identify new modeling opportunities to improve revenue and media efficiency.

Lead full-cycle recruiting: own searches end-to-end, source top passive talent, run structured behavioral interviews, build reporting and dashboards, coach hiring managers, and improve recruiting systems and processes.

Lead BI developer who owns reporting infrastructure end-to-end: SQL-based data extraction from messy sources, LookML/BI model development, dashboard standardization, stakeholder partnership, and performance marketing optimization to drive actionable insights and business outcomes.

Lead BI developer owning end-to-end reporting for performance marketing verticals. Build and standardize dashboards, author LookML models, extract insights from messy third-party data, partner with Yield/Paid Media/Account teams, deliver retrospective analyses, and drive adoption and business impact.

Lead BI Developer owns reporting infrastructure end-to-end, building standardized, trusted dashboards and LookML models, analyzing messy third-party data, partnering with Yield/Paid Media/Account teams to deliver actionable performance marketing insights and retrospective analyses that drive business decisions.