Launch Potato

WHO ARE WE? Launch Potato is the discovery and conversion company. We reach tens of millions of people every month through our brands, including FinanceBuzz, All About Cookies, and OnlyInYourState. We turn that attention into real outcomes for our partners, some of the world's leading companies. Our mission: create predictable, high-value customer acquisition at scale by connecting discovery, intent, and performance across category-leading consumer brands in finance, travel, and entertainment. We run profitable and bootstrapped, with a South Florida HQ and a remote-first team across 18 countries. WHY JOIN US? You own outcomes here, not tasks. We measure work by impact, not activity. The pace is real, and change is constant, so the people who do best turn change into opportunity instead of waiting for it to settle. Feedback runs direct and lands with respect. Ordinary people make themselves extraordinary at Launch Potato . YOUR ROLE You'll build the models that decide which carrier each auto insurance shopper sees on our click wall. The goal is to send every user to the carrier most likely to convert them, so carriers see our traffic convert and raise their bids. You'll also own the buying models behind our media spend, which are held to ROAS. Carrier conversion data (quotes, policies and acquisition cost) is now coming back to us, and you'll be the one who puts it to work in production. The hard part is the data. Outcomes land weeks or months after the click, many sessions are sparse, the same shoppers come back, and the market drifts. Our bids also decide which users we win, so the model shapes the data it learns from next. This is a hands-on individual contributor role. You frame problems directly with the business, find your own data, build and validate the model, and stay with it through deployment and monitoring. An ML engineer works alongside you on the production side. Auto insurance takes most of your time to start, and scope broadens to other verticals over time. We're remote first, and most of the company works East Coast hours. WHAT SUCCESS LOOKS LIKE By day 60, you run our insurance marketplace media buying on your own. By the end of your first year: Click wall serving that matches each user to the right carrier Carrier conversion data running in production models Automated marketplace bidding taken from proof of concept to scale A clear approach for repeat users and sparse sessions Production models that hold up through drift and changing objectives Output the business trusts and uses without rework MUST HAVE 5+ years of hands-on applied data science with measurable business impact Your models drove paid media decisions: spend, bidding or ad serving. Attribution and reporting alone don't qualify. You built what's on your resume and can explain it down to the loss function and architecture choice, neural network fundamentals included You see how today's bids shape tomorrow's training data, and you've handled late labels, sparse features or drift You own models end to end: you find your own data, build through deployment and monitoring, and bring a point of view Expert Python and SQL NICE TO HAVES Real ad budget spent in live auctions Large-scale ranking or recommendation systems Explaining tradeoffs to non-technical partners in plain terms Designing for auction feedback loops, selection bias and exploration Hands-on neural network work, such as embeddings of text, creative or user behavior AWS for data science: ECS, S3, Athena, SageMaker CI/CD deployment Want to accelerate your career? Apply now! Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Originally posted on Himalayas

WHO ARE WE? Launch Potato is the discovery and conversion company. We reach tens of millions of people every month through our brands, including FinanceBuzz, All About Cookies, and OnlyInYourState. We turn that attention into real outcomes for our partners, some of the world's leading companies. Our mission: create predictable, high-value customer acquisition at scale by connecting discovery, intent, and performance across category-leading consumer brands in finance, travel, and entertainment. We run profitable and bootstrapped, with a South Florida HQ and a remote-first team across 18 countries. WHY JOIN US? You own outcomes here, not tasks. We measure work by impact, not activity. The pace is real, and change is constant, so the people who do best turn change into opportunity instead of waiting for it to settle. Feedback runs direct and lands with respect. Ordinary people make themselves extraordinary at Launch Potato . BASE SALARY: $120,000 to $150,000 per year, paid semi-monthly MUST HAVE: Expert SQL & Comfortable with Unstructured Complex Data : Extracts accurate insights from raw, unstructured data without relying on clean models Reporting Ownership & Data Literacy : Builds, standardizes, drives adoption, and leaves teams more data-literate Performance Marketing Optimization : Connects data directly to levers that move the business, i.e. campaign performance, conversion rates, or revenue per session Advanced LookML Development (or equivalent in Power BI / Tableau) : Architects complex models with full understanding of downstream impacts Curiosity & Business Depth : Asks questions first; driven to grow business knowledge to become a trusted analytical partner, not just a builder EXPERIENCE: Minimum 7 years in business intelligence or analytics with direct exposure to performance or affiliate marketing. The strongest candidates have owned reporting end-to-end, from pipeline to dashboard, worked with messy, complex, third-party data, and partnered closely with business teams to uncover meaningful trends, conduct retrospective analyses, and connect data work to decisions that actually moved the business. YOUR ROLE Launch Potato is looking for a Lead BI Developer to own the reporting infrastructure that powers decision-making across our Credit Cards, Make Money/Manage Money, Banking, and Marketplace verticals with a clear growth path into becoming a proactive analytical partner who helps the team see around corners. You'll be embedded with the business from day one, partnering closely with our Yield, Paid Media, and Account Management teams to uncover meaningful trends, conduct retrospective analyses across experiments, creatives, offers, seasonality, and CAC performance, and challenge the team with insights they aren't currently seeing. This is NOT a role for someone who wants to build dashboards and hand them off, it's for someone who cares deeply about whether the work they build gets used, understood, and acted on. Outcomes (Performance Expectations) 30 Days in: Actively engaged with stakeholders to audit what reporting the team is consuming and why, i.e. identifying discrepancies, redundancies, and inconsistencies across existing dashboards and beginning to develop a roadmap to standardize reporting across your verticals. 60 Days in: Bridging business context and data understanding by being able to articulate how assigned verticals make money and what the key performance levers are. Actively improving dashboard standardization while executing on ad hoc requests with accuracy and business context. 90 Days in: Dashboard standardization is in execution and a clear roadmap exists for how trusted data sources will be developed to improve the efficiency of data consumption. LookML structure is understood well enough to begin making changes with full awareness of downstream impacts. Working relationships with Yield, Paid Media, and Account Management are established. 6 Months in: Trust is built with the business team through education, best practices, and a standardized reporting suite that enables confident self-service analytics. Proactive retrospective analyses are being delivered across experiments, creatives, offers, seasonality, and CAC performance. Strong understanding of the full funnel metrics that support each team. Year 1: Trusted technical owner for assigned verticals end-to-end, from raw data ingestion through final dashboard. Reporting standardization is complete, retrospective analysis is a consistent output, and the business team views you as a go-to analytical partner who recommends action, not just reports findings. Competencies Analytical Rigor: Asks the hard questions and traces discrepancies to the source before drawing conclusions. Reporting Ownership: Engages stakeholders to understand how reporting is used before building, i.e. creates dashboards that are adopted, not just delivered. Business Acumen: Invests in understanding the business by asking the right questions before pulling th