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Careers at Launchpotato

Browse and filter through all verified positions currently open at Launchpotato.

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launchpotato.comHQ: Delray Beach, Florida, United States

✚ Click 'Follow' aboveLaunch Potato is a profitable startup studio that launches and scales mobile and web companies on our proprietary technology stack. We acquire, re-market and monetize users at scale via social media, mobile and email. We're HQed in Delray Beach, FL, but have an amazing, distributed global team. We're growing our portfolio of products quickly and looking for high-performance, ambitious teammates who can solve complex problems using smart marketing, great engineering, data science and fun!

Sector:advertisingcommunity buildingconsumer internetconsumerscustomer acquisition

All Openings (5)

Ordered by most recently published

Lead BI Developer

Remotefull timeLead / StaffUnited States (Remote)
Apply Now

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. 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 the data. Communication: Asks enough upfront to make sure the answer lands with the right context for the right audience. Proactive Ownership: Surfaces problems early, engages before being asked, and drives work forward with a clear point of view. Collaboration: Builds trust by asking genuine questions and showing they care about what stakeholders need, not just what they asked for. Curiosity & Growth: Asks more than most and is driven to grow from technical executor into analytical partner over time. TOTAL COMPENSATION Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments. 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.

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Software EngineeringVia Greenhouse
Verified6 days ago

Staff Data Scientist, Marketing

Remotefull timeLead / StaffUnited States (Remote)
Apply Now

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. MUST HAVE: Proven experience in digital marketing, performance marketing, or the leadgen industry Building adtech algorithms and supporting user acquisition or paid media modeling (highly desired) Strong modeling fundamentals: the ability to build effective models that drive business impact Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud Hands-on experience across core technique areas: multi-armed bandit / reinforcement learning, recommendation and ranking systems (content-based, collaborative filtering, hybrid), funnel and monetization optimization, LTV modeling Expert Python and SQL EXPERIENCE: 5+ years in a hands-on, in-the-weeds applied data science role delivering measurable business impact. YOUR ROLE Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency. This is a hands-on, in-the-weeds role: you are heavily immersed in the data and the modeling, framing the business problem directly with stakeholders, building and validating the model, handing the ML-engineering last mile to your ML engineering partner, and staying engaged through deployment, monitoring, and performance analysis. You will start focusing on Insurance and Advertiser Quality, with scope that broadens over time. Your primary metric is ROAS. OUTCOMES Own the Insurance vertical's primary modeling work end-to-end with measurable ROAS impact Deliver buying models that maintain positive ROAS and quality Drive lead quality improvements across our portfolio of brands: Messaging, Funnels, Content/Listicles, and more resulting in measurable impact to revenue growth Establish trusted, direct partnership with vertical business stakeholders Produce trusted output: validated, documented, low correction burden Identify and leverage net-new modeling opportunities the business has not flagged COMPETENCIES Business-first framing: Starts with the problem and the metric, not the model. Full-stack ownership: Stays engaged from problem definition through deployed performance Proactive communication: Closes loops without being chased Collaborative: Leans on ML engineering for the last mile rather than working solo Coachable: Seeks feedback and turns it into visible behavior change Curiosity paired with delivery discipline NICE TO HAVES Sophisticated ML at companies where paid digital media is core to the business model Creative embeddings work: incorporating embeddings of creatives, videos, headlines, and search into paid media models Insurance domain experience Creating state-of-the-art Ad Ranking algorithms Modeling against ad-platform data points (Google, Meta, native) LLMs / deep learning applied to personalization or content Familiarity with Looker TOTAL COMPENSATION Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments. 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.

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AI / ML & Data ScienceVia Greenhouse
Verified19 days ago

Staff Applied Scientist, AdTech

Remotefull timeLead / StaffUnited States (Remote)
Apply Now

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. MUST HAVE: Proven experience in digital marketing, performance marketing, or the leadgen industry Building adtech algorithms and supporting user acquisition or paid media modeling (highly desired) Strong modeling fundamentals: the ability to build effective models that drive business impact Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud Hands-on experience across core technique areas: multi-armed bandit / reinforcement learning, recommendation and ranking systems (content-based, collaborative filtering, hybrid), funnel and monetization optimization, LTV modeling Expert Python and SQL EXPERIENCE: 5+ years in a hands-on, in-the-weeds applied data science role delivering measurable business impact. YOUR ROLE Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency. This is a hands-on, in-the-weeds role: you are heavily immersed in the data and the modeling, framing the business problem directly with stakeholders, building and validating the model, handing the ML-engineering last mile to your ML engineering partner, and staying engaged through deployment, monitoring, and performance analysis. You will start focusing on Insurance and Advertiser Quality, with scope that broadens over time. Your primary metric is ROAS. OUTCOMES Own the Insurance vertical's primary modeling work end-to-end with measurable ROAS impact Deliver buying models that maintain positive ROAS and quality Drive lead quality improvements across our portfolio of brands: Messaging, Funnels, Content/Listicles, and more resulting in measurable impact to revenue growth Establish trusted, direct partnership with vertical business stakeholders Produce trusted output: validated, documented, low correction burden Identify and leverage net-new modeling opportunities the business has not flagged COMPETENCIES Business-first framing: Starts with the problem and the metric, not the model. Full-stack ownership: Stays engaged from problem definition through deployed performance Proactive communication: Closes loops without being chased Collaborative: Leans on ML engineering for the last mile rather than working solo Coachable: Seeks feedback and turns it into visible behavior change Curiosity paired with delivery discipline NICE TO HAVES Sophisticated ML at companies where paid digital media is core to the business model Creative embeddings work: incorporating embeddings of creatives, videos, headlines, and search into paid media models Insurance domain experience Creating state-of-the-art Ad Ranking algorithms Modeling against ad-platform data points (Google, Meta, native) LLMs / deep learning applied to personalization or content Familiarity with Looker TOTAL COMPENSATION Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments. 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.

View more...
AI / ML & Data ScienceVia Greenhouse
Verified19 days ago

Lead Data Scientist, AdTech

Remotefull timeLead / StaffUnited States (Remote)
Apply Now

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. MUST HAVE: Proven experience in digital marketing, performance marketing, or the leadgen industry Building adtech algorithms and supporting user acquisition or paid media modeling (highly desired) Strong modeling fundamentals: the ability to build effective models that drive business impact Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud Hands-on experience across core technique areas: multi-armed bandit / reinforcement learning, recommendation and ranking systems (content-based, collaborative filtering, hybrid), funnel and monetization optimization, LTV modeling Expert Python and SQL EXPERIENCE: 5+ years in a hands-on, in-the-weeds applied data science role delivering measurable business impact. YOUR ROLE Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency. This is a hands-on, in-the-weeds role: you are heavily immersed in the data and the modeling, framing the business problem directly with stakeholders, building and validating the model, handing the ML-engineering last mile to your ML engineering partner, and staying engaged through deployment, monitoring, and performance analysis. You will start focusing on Insurance and Advertiser Quality, with scope that broadens over time. Your primary metric is ROAS. OUTCOMES Own the Insurance vertical's primary modeling work end-to-end with measurable ROAS impact Deliver buying models that maintain positive ROAS and quality Drive lead quality improvements across our portfolio of brands: Messaging, Funnels, Content/Listicles, and more resulting in measurable impact to revenue growth Establish trusted, direct partnership with vertical business stakeholders Produce trusted output: validated, documented, low correction burden Identify and leverage net-new modeling opportunities the business has not flagged COMPETENCIES Business-first framing: Starts with the problem and the metric, not the model. Full-stack ownership: Stays engaged from problem definition through deployed performance Proactive communication: Closes loops without being chased Collaborative: Leans on ML engineering for the last mile rather than working solo Coachable: Seeks feedback and turns it into visible behavior change Curiosity paired with delivery discipline NICE TO HAVES Sophisticated ML at companies where paid digital media is core to the business model Creative embeddings work: incorporating embeddings of creatives, videos, headlines, and search into paid media models Insurance domain experience Creating state-of-the-art Ad Ranking algorithms Modeling against ad-platform data points (Google, Meta, native) LLMs / deep learning applied to personalization or content Familiarity with Looker TOTAL COMPENSATION Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments. 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.

View more...
AI / ML & Data ScienceVia Greenhouse
Verified19 days ago

Lead Applied Scientist, Marketing

Remotefull timeLead / StaffUnited States (Remote)
Apply Now

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. MUST HAVE: Proven experience in digital marketing, performance marketing, or the leadgen industry Building adtech algorithms and supporting user acquisition or paid media modeling (highly desired) Strong modeling fundamentals: the ability to build effective models that drive business impact Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud Hands-on experience across core technique areas: multi-armed bandit / reinforcement learning, recommendation and ranking systems (content-based, collaborative filtering, hybrid), funnel and monetization optimization, LTV modeling Expert Python and SQL EXPERIENCE: 5+ years in a hands-on, in-the-weeds applied data science role delivering measurable business impact. YOUR ROLE Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency. This is a hands-on, in-the-weeds role: you are heavily immersed in the data and the modeling, framing the business problem directly with stakeholders, building and validating the model, handing the ML-engineering last mile to your ML engineering partner, and staying engaged through deployment, monitoring, and performance analysis. You will start focusing on Insurance and Advertiser Quality, with scope that broadens over time. Your primary metric is ROAS. OUTCOMES Own the Insurance vertical's primary modeling work end-to-end with measurable ROAS impact Deliver buying models that maintain positive ROAS and quality Drive lead quality improvements across our portfolio of brands: Messaging, Funnels, Content/Listicles, and more resulting in measurable impact to revenue growth Establish trusted, direct partnership with vertical business stakeholders Produce trusted output: validated, documented, low correction burden Identify and leverage net-new modeling opportunities the business has not flagged COMPETENCIES Business-first framing: Starts with the problem and the metric, not the model. Full-stack ownership: Stays engaged from problem definition through deployed performance Proactive communication: Closes loops without being chased Collaborative: Leans on ML engineering for the last mile rather than working solo Coachable: Seeks feedback and turns it into visible behavior change Curiosity paired with delivery discipline NICE TO HAVES Sophisticated ML at companies where paid digital media is core to the business model Creative embeddings work: incorporating embeddings of creatives, videos, headlines, and search into paid media models Insurance domain experience Creating state-of-the-art Ad Ranking algorithms Modeling against ad-platform data points (Google, Meta, native) LLMs / deep learning applied to personalization or content Familiarity with Looker TOTAL COMPENSATION Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments. 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.

View more...
AI / ML & Data ScienceVia Greenhouse
Verified19 days ago