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1,003 remote jobs

Performance Marketing/Growth Manager (App Campaigns)

Remote Uruguay

IDT (www.idt.net) is a communications and financial services company founded in 1990 and headquartered in New Jersey US. Today it is an industry leader in prepaid communication and payment services and one of the world’s largest international voice carriers. We are listed on the NYSE employ over 1500 people across 20+ countries and have revenues in excess of $1.5 billion. IDT is looking for a hands-on Mobile Performance Marketing Manager to support our marketing team. In this role you will assist in executing and scaling paid campaigns across multiple digital channels helping grow the user base for two of our flagship apps Boss Money and Boss Revolution. This is a great opportunity for someone looking to develop their UA skills through smart strategy continuous testing and data-driven optimization. The interview process will be conducted in English. What You'll Do Support the execution of paid campaigns across multiple channels including Google Ads Meta TikTok Snapchat Reddit X and others assisting with strategy setup and daily optimization. Help develop and execute channel strategies to contribute to user acquisition targets (CPI CPA ROAS). Analyze the full performance funnel from ad impression through install activation and downstream conversions connecting paid media inputs to outcomes that inform budget and optimization decisions. Support creative testing from concept to completion executing A/B tests and helping establish a structured testing framework. Monitor and measure creative performance to evaluate how UA optimizations and changes influence results. Identify areas of improvement by analyzing performance data and converting insights into clear actions. Support the day-to-day collaboration with designers and creative teams to ensure ad assets are aligned with each app's messaging and audience. Continuously seek to learn and experiment with new channels optimization strategies and creative concepts staying ahead of the latest trends in mobile user acquisition. Experience or interest in leveraging AI tools to support day-to-day marketing tasks from creative production and copywriting to campaign workflows and performance analysis. Requirements 3+ years managing paid campaigns in a UA performance marketing or growth role. B2C + App acquisition experience needed. Hands-on experience with paid social platforms such as Meta TikTok and Snapchat. Strong analytical mindset with the ability to analyze performance data and turn it into clear optimization decisions. Fluent in English written and spoken. Nice to have Experience working with Tableau. Experience with fintech remittance or financial apps. Familiarity with MMPs. Experience with additional paid channels such as Google Ads DSPs Reddit and others is a plus. Basic understanding of ASO (App Store Optimization) and its role in driving organic and paid app growth is a plus. Working knowledge of AI tools for marketing (creative copy analysis or workflow automation). Experience with influencer marketing. What we offer 100% Remote work opportunity for the Latam region! B2B Employment ($ gross). Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training seminars and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. Please attach CV in English. The interview process will be conducted in English. Only accepting applicants from LATAM. We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Jr. NOC Analyst

Remote Uruguay

We are looking for a Jr. NOC Analyst to join our team! You will proactively monitor and resolve all production alerts within IDT’s 24x7x365 Global Network Operations team. NOC Support Engineers monitor large networks and servers to detect hardware software or environmental malfunctions. When alerts trigger they analyze the issue determine the root cause and perform network or software troubleshooting. Following standard operating procedures they manage incident response and coordinate with site technicians third-party vendors or other IT teams to track and resolve problems. Working Days Tuesday to Saturday ### At this position you will Proactively monitor all production networks applications and services. Respond to & resolve alerts/alarms according to standard operating procedures. Track all issues in a ticketing system. Escalate alerts/issues to the appropriate Support team and work with the Support team towards a timely resolution. Work with the following tools Splunk New Relic Grafana Zabbix Jira Slack etc. ### Requirements 2 years of similar experience. Bachelor’s degree in Computer Science Information Technology Engineering or a related field Excellent monitoring / troubleshooting skills. Working knowledge of Windows and Linux OS Networks. Working knowledge of issues / ticket track system. Good level of English – B2 or higher. You will need to verbally explain technical issues clearly to non-technical stakeholders. Preferred certifications include Cisco CCNA CompTIA Network+/Security+ ITIL Foundation or AWS/Azure Fundamentals. Experience participating in high-priority incident bridge calls and writing post-mortem reports. ### Nice to have New Relic (or Datadog or SolarWinds). Splunk or other data log management tools like DynaTrace/Loggly/SumoLogic. Linux/Unix - basic knowledge. Networking (basic understanding of BGP MPLS OSPF protocols). ### We offer you Remote work opportunity! B2B Employment ($ gross). Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training seminars and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. A few words about us IDT Corporation is a global communications company founded in 1990 and headquartered in Newark New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE employ over 1800 people across 20 countries and have over $1.5 billion in revenues. We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions. We understand the challenge of being apart from those who matter most. BOSS Revolutionis our flagship brand. It includes International Calling Mobile Top Up and Money Transfer services. It enables people to keep in touch with family and friends around the world as well as to send money to more than 50 countries with low fees and great exchange rates. - ONLY ACCEPTING CANDIDATES FROM LATAM PLEASE SUBMIT CV IN ENGLISH We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Sr. Support Specialist, Phones - Contract

Remote Uruguay

### About this Role This contractor will join the Phones Support team to handle complex technical issues related to VoIP SIP and PBX systems for multi-site clients. The role exists to strengthen the team’s capacity on advanced troubleshooting reduce escalation volume and improve first-contact resolution on network and call-quality problems. The contractor will work tickets daily support remote diagnostics and help document solutions so the wider team can scale more effectively. This is a 100% remote contract position based in Latin America (including Central America) with availability aligned to North American business hours as agreed per engagement. Fluency in English (both written and spoken) is required for this role. To apply for the this position please submit your resume in English highlighting your qualifications. Contractors must provide their own equipment (laptop monitors keyboard mouse etc.) stable internet connectivity and dedicated workstations. ### Tasks Diagnose and resolve SIP/VoIP connectivity issues including NAT traversal SDP mismatches one-way audio and packet loss across 15+ client tickets per day Administer and troubleshoot PBX systems at the call-flow and trunk-configuration level not just individual device settings Remotely diagnose network-level issues at client sites including router/firewall checks and guide non-technical client staff through resolution steps via phone or screen share Provision and configure IP phones (Yealink Grandstream Polycom-class devices) for new and existing client accounts Manage and resolve client-facing tickets in the ticketing system daily maintaining SLA adherence and clear written communication throughout Document recurring technical issues and solutions in the internal knowledge base for team-wide use ### Requirements 2-4 years of experience in technical VoIP/PBX support with demonstrated experience on multi-site or enterprise-scale PBX deployments Solid working knowledge of SIP protocol RTP/RTCP PBX call routing/configuration codec-related call quality issues and common VoIP failure modes Working knowledge of networking fundamentals subnetting/VLANs QoS configuration and packet capture analysis (Wireshark or equivalent) Hands-on experience provisioning and configuring IP phones across multiple hardware vendors Strong written English communication for client-facing correspondence Demonstrated ownership — able to see a complex technical issue through to full resolution without heavy oversight PetDesk offers an ecosystem of top-tier client engagement solutions for the pet healthcare and services communities enhancing communication service quality and client retention. With its cutting-edge solutions we support more than 10000 veterinary clinics and over 400 grooming facilities and serve over 20 million pet parents worldwide. Please no external recruiters—candidate profiles submitted from external recruiting agencies will not be considered. We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Senior Revenue Operations Manager

Remote Mexico / Remote Uruguay / Remote Peru / Remote Chile / Remote Argentina / Remote Colombia / Remote Costa Rica

" About Us Spreedly is the world's leading Open Payments Platform. Founded in 2007 and headquartered in Durham NC the company gives mid-market and enterprise businesses the infrastructure to connect to any payment gateway processor or fraud tool through a single API. The platform is vendor-agnostic by design meaning customers are never locked into a single provider and never need to rebuild their payments stack to access new capabilities.   The core business problem Spreedly solves is real and costly global merchants face a fragmented payments ecosystem where every new market payment method or fraud tool typically requires a separate time-consuming integration. Spreedly eliminates that complexity enabling companies to route transactions intelligently secure cardholder data prevent fraud and expand into new markets without heavy engineering overhead. Product Offering  Spreedly provides an open payments platform. The platform’s connectivity provides payments performance. Key products and services include Connect — A unified API that integrates with hundreds of payment gateways processors and alternative payment methods worldwide including digital wallets. Merchants access the global payments ecosystem through one connection.Vault — A PCI-compliant secure repository for payment methods. Merchants store card data once and reuse it across any payment service reducing PCI scope and protecting cardholder data at scale.Optimize — Workflow-driven routing and retry logic that directs each transaction to the best-performing gateway in real time. On average 7.9% of failed transactions succeed immediately when retried on a secondary gateway. This is where merchants recover lost revenue and increase authorization success rates.Protect — A flexible fraud and authentication layer incorporating advanced fraud tools and 3DS. Following Spreedly's acquisition of Dodgeball in September 2025 fraud orchestration and payment optimization now operate within the same platform.Resolve — Centralized management and reporting that reduces operational silos strengthens security and improves billing control across a merchant's entire payment operation. What It's Like to Work Here We describe our team as ""Spreedlings"" diverse forward-thinking and driven by a shared belief that a more open payments ecosystem benefits everyone. The company operates with a culture built on transparency courageous collaboration and self-driven leadership. The team values simplicity in both product and process and approaches problem-solving with genuine curiosity.  About the Role   We're hiring a Senior Revenue Operations Manager to own operations across the full customer lifecycle the funnel systems numbers deals and post-sale motion. You'll report directly to the Senior Director of Revenue Operations as the senior individual contributor on a small team setting the standard for how the work gets done. Be clear-eyed about one thing this is a hands-on role. There's a real backlog and for the first stretch you'll be in the work — building the reports running the deal desk fixing the data — while automating it as you go. The leverage compounds but it doesn't start on day one. The substance of the job is core revenue operations sales operations GTM strategy and planning deal desk forecasting incentive compensation data management and analytics. It also extends beyond the close you'll be the operational partner to Account Management Implementation Customer Success and Customer Support which means renewals and amendments onboarding milestones health and adoption signals and the handoffs between those teams all fall within your scope. Payments makes it more complex than most our revenue moves with our customers' transaction volume so getting the numbers right means understanding how the business actually works. What's different is the leverage. We're building a RevOps function where AI carries more of the repeatable work and this role sits at the center of that. You should already be using AI in your day-to-day work and be able to show us what you've built with it — not a certification but real examples. You don't need to be an ML engineer and we'll invest in deepening those skills. What we can't teach on the job is the operational foundation underneath it knowing what a defensible forecast looks like where a funnel definition breaks down what a comp plan can't get wrong. That judgment is what makes automation trustworthy and it's why this role needs both. If you have the RevOps fundamentals and you're already building with AI we'd like to talk.   This role is open to candidates based in Latin America (excluding Brazil) ➡ About Us ➡ Funnel architecture and governance Own revenue operations across the full go-to-market funnel. Partner with sales account management customer success and marketing to hold rigorous KPI governance and lifecycle definitions (MQL / SAL / SQL) that every team trusts and reports against. Deal desk and commercial support Run deal desk for non-standard structures — pricing exceptions consumption commitments multi-product bundles — and make sure what gets signed is what gets billed and reported. Forecasting and planning Own forecast accuracy pipeline hygiene and coverage analysis. Support territory quota and capacity planning alongside the Senior Director. Incentive compensation Administer and stress-test comp plans model changes and resolve disputes with a clear audit trail. Customer operations Extend the same operational rigor to the post-sale organization supporting Account Management Implementation Customer Success and Customer Support. Own the process systems and reporting behind renewals and amendments onboarding and implementation milestones health and adoption signals escalation paths and the handoffs between each team — so the customer journey holds together after the deal closes. Data management and analytics Own the integrity of GTM data — enrichment deduplication source attribution and the metric definitions that keep two reports from answering the same question differently. Turn that into analysis leadership actually uses. AI-enabled operations Design and build the agents automations and workflows that carry the repeatable load applying business rules surfacing recommendations mid-cycle flagging expansion signals and pipeline risk and escalating to a human only where judgment is genuinely required. You'll be given latitude to decide what gets automated and what stays manual. Systems partnership Work in close partnership with our Salesforce owner and technical partners — you own the operational design and requirements they own platform build and administration. Translate ambiguous business asks into solutions that hold up across the stack. Raising the bar Set the quality standard for how RevOps work gets done here. As the senior operator on the team you'll help unblock the people around you mentor where it's useful and grow the range of the function overall. Proactive ownership Diagnose pipeline breakpoints and process friction and drive fixes cross-functionally. Nobody here will hand you a prescriptive task list.   Product Offering  ➡ 5+ years in revenue operations sales operations or GTM operations — or equivalent depth in a closely related function — including at least 2 in a senior or lead capacity Willingness to be hands-on. You'll be doing the work as well as designing it particularly early on Working command of the end-to-end customer journey from top-of-funnel acquisition through post-sale retention and expansion and the metrics that describe each stage Hands-on depth in at least two of deal desk forecasting methodology incentive compensation or GTM data management and quality Experience supporting post-sale teams — customer success account management implementation or support operations — including renewal and expansion motion health scoring or onboarding process Strong Salesforce fluency — reporting objects and data model and how operational processes get encoded in a CRM Current hands-on use of AI in your own work with specific examples you can walk us through — an agent an automation an assistant or a workflow you built and put to use. We care about what you've actually shipped not which tool you used A considered point of view on how AI changes operations work and a track record of picking up new tooling quickly Proven ability to manage senior stakeholders translate between business and technical requirements and influence teams you don't control Excellent written and verbal communication in English particularly with senior stakeholders Strong prioritization and ownership in an environment with more opportunities than instruction Experience mentoring reviewing or leveling up teammates formally or informally What It's Like to Work Here ➡ Payments fintech or another usage-based or consumption-priced business AI agents or LLM-backed workflows you've built for a commercial or operational team running in production with other people depending on them Hands-on work with automation platforms (n8n Zapier) or agentic tooling (Claude and similar) Enough technical comfort to work in a Git repo and ship something to a hosted environment — you don't need to be an engineer but the people who thrive here can build not only specify SQL and hands-on work in a BI tool (we use Tableau) CPQ CLM or billing-system experience (Salesforce CPQ Ironclad) Revenue intelligence tooling (Gong Apollo) Customer support and success platforms (Zendesk Intercom) and the reporting that sits on top of them ➡ We champion the ethical creative use of AI—if you’re someone who pairs human judgment with modern AI tools to work smarter and drive bigger impact you’ll thrive here.     Spreedly is an equal opportunity employer. We are committed to fostering cultivating and preserving a culture of diversity equity inclusion and belonging. We actively work to drive out even unintentional discrimination in our hiring processes via practices like blindly graded work samples structured interviews and diversity awareness training.   Due to the sensitive nature of what Spreedly does - handling payment data - finalist candidates must complete a successful background and reference check.   At this time Spreedly is unable to provide sponsorship for employment and we are not set up to support remote employees who reside in New York. In order to be considered for employment applicants must be currently legally authorized to work in the job location country and not require future sponsorship in order to continue working in that country.   We appreciate your interest in our company. Because of the high volume of resume flow we may only respond to those candidates that we think will be a potential fit.     #LI-AE1"

Staff Data Scientist, Marketing

Montevideo, Uruguay Remote

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 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.

Lead Data Scientist, AdTech

Montevideo, Uruguay Remote

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 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.

Lead Applied Scientist, Marketing

Montevideo, Uruguay Remote

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 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.

Staff Applied Scientist, AdTech

Montevideo, Uruguay Remote

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 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.

Senior Data Engineer

Remote Uruguay

### About Us Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients value autonomy and clear communication and build long-term partnerships through technical excellence. More information http//coderio.com We are looking for a Senior Data Engineer to design build and optimize scalable high-performance data platforms supporting large volumes of financial and transactional data. The ideal candidate has strong expertise in Python SQL Apache Spark AWS and modern data engineering architectures with proven experience working with production-grade systems in fast-paced environments. ### What You Can Expect (Responsibilities) Design build and maintain high-throughput low-latency batch and streaming data pipelines to ingest and process financial transactions from diverse global sources. Design scale and optimize cloud data warehouse and lakehouse architectures capable of handling massive volumes of structured and unstructured data. Collaborate with Data Scientists Software Engineers and Product Managers to understand business needs and translate them into scalable reliable data solutions. Implement and enforce data quality frameworks automated testing monitoring and alerting to ensure data integrity reliability high availability and compliance with SLAs. Drive the adoption of DataOps practices including CI/CD workflow automation and Infrastructure as Code (IaC) for data systems. Champion data governance privacy and security standards across data storage and compute layers including GDPR/LGPD compliance. Mentor and guide junior and mid-level Data Engineers promoting engineering excellence best practices and modern architectural patterns. ### Requirements 5+ years of experience in Data Engineering Big Data or related Software Engineering roles with a proven track record managing high-volume production-grade data systems in fast-paced environments. Strong proficiency in Python and SQL for complex data processing optimization and software development Scala or Java experience is a plus. Hands-on experience with Apache Spark/PySpark Delta Lake and modern lakehouse architectures including Data Mesh principles. Strong expertise in AWS data services particularly S3 Glue Athena EventBridge Firehose and Lambda. Solid experience with data orchestration and warehousing technologies including Apache Airflow or similar DAG-based tools and platforms such as Snowflake AWS Redshift or Google BigQuery. Experience designing real-time streaming architectures using technologies such as Apache Kafka or AWS Kinesis as well as familiarity with modern data transformation and modeling tools such as dbt. Strong knowledge of DevOps/DataOps practices including Git Docker CI/CD pipelines (GitHub Actions GitLab CI or similar) Infrastructure as Code and cloud platforms such as AWS or GCP. Advanced English proficiency is required with the ability to communicate effectively in English in both technical and non-technical contexts. ### Nice to Have Previous experience in Fintech Payments E-commerce or other high-growth technology environments particularly working with financial transactions or highly regulated data. Experience with Databricks and advanced cloud lakehouse architectures. Knowledge of data privacy governance and security frameworks including GDPR/LGPD as well as experience implementing secure data platforms. Experience with Infrastructure as Code tools such as Terraform advanced DataOps automation and mentoring Data Engineers or contributing to technical architecture decisions. ### Benefits 100% remote Long-term commitment with autonomy and meaningful impact Strategic high-visibility role within a modern engineering culture Collaborative international team with strong technical leadership Career development and growth opportunities within Coderio ### Why join Coderio? At Coderio we value talent and excellence. While we are primarily a remote-first company this specific strategic role offers the opportunity to work directly on-site to drive high-stakes initiatives. We are passionate about technology collaboration and fair compensation. We offer an inclusive and challenging environment with real growth opportunities. If you are motivated to design solutions that make a difference we are waiting for you. Apply now. We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Sr Data Ops Engineer

Remote Uruguay

About Us Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients value autonomy and clear communication and build long-term partnerships through technical excellence. More information http//coderio.com This is a high-impact technical role. We are looking for a motivated and adaptive DataOps Engineer Technical Referent to join our fast-paced environment. You will operate at the intersection of data engineering cloud infrastructure and DevOps where a high tolerance for ambiguity and a passion for constant learning are essential. Your primary mission involves interacting with customers to understand their needs extract requirements and both design and propose scalable solutions. You will be responsible for tackling the challenge of working within a team to develop solutions as well as executing hands-on technical work to ensure robust data operations. What To Expect In This Role (Responsibilities) Automation & Integration Develop Python components Terraform modules and pipelines to integrate and automate various tools and processes. API & System Orchestration Promote the use of APIs from distinct systems to extract and update data trigger and monitor processes and help tie infrastructures together. Cloud Reliability & Operations Deploy maintain and oversee cloud infrastructure to ensure it runs with the performance and reliability our customers expect. Data Modeling & Documentation Help create Data Models technical documents and best practices for our users. DataOps Best Practices & Innovation Develop policies processes and best practices regarding DevOps and DataOps. You will also help identify opportunities generate innovative solutions and improve existing product features. Requirements Development & Scripting Strong proficiency in Python and bash and fluency in SQL as a second language. Data Ecosystems & Pipelines Deep familiarity with databases data warehouses and data lakes as well as being adept at data pipelines and process improvement. Cloud & Tooling Mastery Strong knowledge of AWS environments including EC2 Lambda IAM SQS RDS Kinesis Glue and EKS. Must also be familiar with modern development tools like Terraform GitHub Docker and dbt. Mindset & Work Style Ability to thrive in an environment with constant and quick iterations consistently seeking out creative solutions to challenging problems. Must have strong attention to detail. Autonomy & Collaboration Ability to work collaboratively while also being capable of owning a project with little guidance. Must be comfortable working in a diverse environment and non-hierarchical organizations. Customer-Facing Skills Ability to interact directly with customers to understand needs extract requirements and propose technical solutions. Nice to Have AWS associate or professional-level certifications such as Solutions Architect Developer or DevOps Engineer. Benefits High-impact strategic role driving modern data infrastructure and automation. Collaborative international environment with senior technical leadership. High autonomy to design propose and implement cutting-edge DataOps solutions. Long-term engagement with competitive compensation and growth opportunities. Why Join Coderio? At Coderio we value talent and technical excellence. We are passionate about modern engineering high autonomy and building solutions that make a real difference. We offer an inclusive and challenging environment where innovation is encouraged and technical leadership is valued. If you are eager to design and deploy next-generation data solutions that elevate engineering teams apply now. We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

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