Legacy Farmer

• Support the Operations team with daily execution and internal coordination • Maintain and update internal documentation, SOPs, and process guides • Assist with CRM (HubSpot) cleanup tasks, property updates, and record accuracy • Help set up accounts, access, and onboarding requirements • Monitor and triage inbound requests from other departments to ensure proper routing and timely follow-up • Troubleshoot operational issues and escalate when needed • Assist with process improvements and operational consistency across teams • Provide ad hoc support for projects, reporting needs, and system-related tasks as directed by the Head of Operations

• Analyze and optimize: Review top-performing ads weekly to identify creative patterns, psychological triggers, and messaging trends that drive CTR, CVR, and ROAS. • Write new ads: Produce ad copy and creative briefs for Meta, TikTok, and Google — ensuring alignment with audience insights, positioning, and funnel stage. • Strategic direction: Develop hypotheses and testing plans for creative iterations (e.g., hooks, angles, CTAs, visuals). • Cross-team collaboration: Work directly with the creative team to manage ad asset production, track deadlines, and ensure revisions are implemented quickly. • Communicate with media buyers to determine launch timing, testing structure, and next steps based on performance data. • Creative reporting: Compile performance snapshots and insights to share with leadership, highlighting what’s working, what’s not, and what’s next.

• Manage the day-to-day execution of integrated marketing campaigns (e.g., content launches, email marketing, social media campaigns, paid ads, website updates). • Create and maintain detailed project plans, timelines, and calendars for all marketing initiatives. • Coordinate internal and external resources, including content writers, designers, agencies, and vendors, to ensure project components are delivered on schedule. • Anticipate potential roadblocks and proactively troubleshoot issues to keep projects moving forward. • Track and report on the progress of all live marketing projects to the Marketing Manager on a weekly basis, highlighting key milestones and any potential deadline risks. • Monitor campaign performance and gather data to contribute to post-campaign analysis and optimization recommendations. • Maintain an organized system for all marketing assets and documentation. • Schedule and coordinate marketing team meetings, including developing agendas and capturing clear action items. • Manage the marketing budget tracking process, ensuring expenses are recorded accurately and in a timely manner. • Assist in the preparation of presentations and materials for internal stakeholders. • Stay up-to-date with the latest marketing trends and remote work best practices.

• Closing new clients • Managing the sales pipeline • Generating leads through outbound sales

• Own and develop producer-level economic and behavioral datasets that power product development, analytics, and AI systems. • Collect, clean, normalize, and structure producer economic data, including: • Financial statements and ratios • Business structure and management indicators • Demographic and enterprise characteristics • Platform usage and engagement signals • Build and maintain scalable data pipelines for analytics and modeling. • Enforce data quality standards, validation rules, and documentation. • Apply statistical and econometric methods to: • Identify patterns in producer decision-making • Measure risk awareness, adoption behavior, and planning discipline • Quantify relationships between financial behavior and outcomes • Develop producer segmentation, scoring, and benchmarking frameworks. • Monitor trends and anomalies across producer populations. • Design, administer, and analyze statistically sound producer surveys. • Convert survey responses into structured behavioral variables. • Integrate primary survey data into core analytical datasets. • Ensure sampling, weighting, and bias mitigation meet applied-economics standards. • Deliver clear, data-driven insights to the VP of Product and product teams. • Build repeatable reports, dashboards, and documentation. • Ensure analytical conclusions are traceable to well-defined data sources.