Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2025 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team? About the role As a Staff Data Scientist on the Growth Marketing team, you will leverage data to develop insights and implement growth strategies that maximize user acquisition and retention. This is a high-impact role that blends analytical expertise, strategic thinking, and cross-functional collaboration to drive Flex’s mission forward. What you’ll do Data Analysis Read Less

Junior Marketing Operations Read Less

Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide and over 500,000 business users, Replit is democratizing software development by removing traditional barriers to application creation. Replit is redefining how software is built, and who gets to build it. Our mission is to achieve Autonomy for All: making programming accessible, collaborative, and powered by AI. To realize this vision, we are building a brand that is as iconic, inventive, and human as the product itself. You'll directly impact Replit's growth by turning user behavior into actionable insights that optimize our marketing efforts, improve conversion funnels, and drive sustainable revenue growth across our self-serve and enterprise segments. You will: Design and analyze marketing experiments to optimize campaigns, messaging, and channel performance across email, paid ads, social, and content marketing. Build attribution models and multi-touch conversion funnels to understand the customer journey from first touch to paid conversion. Develop predictive models to identify high-intent prospects, optimize lead scoring, and improve targeting for paid acquisition campaigns. Partner with marketing, growth, and revenue teams to translate business questions into rigorous analysis and clear recommendations. Create self-service dashboards and automated reporting that surface key marketing metrics (CAC, LTV, ROAS, conversion rates) for go-to-market teams. Build and maintain data pipelines that integrate marketing platforms (Google Ads, Meta, Iterable, Segment, etc.) with our product analytics. Examples of what you could do: Build propensity models to identify which free users are most likely to convert to plans based on usage patterns and engagement signals. Analyze cohort behavior and retention patterns to optimize lifecycle marketing campaigns and reduce churn. Develop segmentation models to personalize messaging and targeting for different user personas (students, hobbyists, professional developers, enterprise teams). Build real-time alerting systems to flag anomalies in campaign performance or conversion metrics, automate bidding adjustments across platforms. Required skills and experience: Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or related field, OR equivalent real-world experience in data roles. 2-4 years of experience in data science, analytics, or related roles with a focus on marketing, growth, or business analytics. Strong SQL skills and experience working with large datasets, particularly event-level user behavior data, and designing ETL workflows using dbt Proficiency in Python and data science libraries (pandas, scikit-learn, statsmodels, etc.). Experience designing and analyzing A/B tests and experiments, including statistical rigor around sample sizing, significance testing, and causal inference. Experience building dashboards and visualizations (Looker, Tableau, Mode, or similar tools). Ability to translate ambiguous business questions into structured analysis and communicate findings clearly to non-technical stakeholders. Preferred Qualifications: Experience with modern data stack (dbt, BigQuery, Snowflake, Fivetran, etc.). Background in growth analytics, marketing analytics, or conversion rate optimization at a SaaS or PLG company. Familiarity with marketing technology platforms (Google Analytics, Segment, Iterable, Marketo, HubSpot, etc.). Experience with attribution modeling, marketing mix modeling, or incrementality testing. Understanding of PLG (product-led growth) motions and self-serve conversion funnels. Bonus Points: Experience analyzing freemium or usage-based pricing models. Understanding of developer tools, collaborative coding environments, or technical products. Experience with causal inference methods (difference-in-differences, synthetic control, propensity score matching). Familiarity with customer data platforms (CDPs) and event tracking implementation. Experience working with sales and customer success data to analyze expansion revenue and upsell opportunities. This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary Read Less

Thumbtack helps millions of people confidently care for their homes. Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together. About the Marketing Tech Team Marketing Tech is a critical team at Thumbtack overseeing and optimizing millions of marketing spend and is directly responsible for driving our company’s top line revenue growth. As part of this team, you’d get to work on a wide range of Marketing lanes such as paid (SEM, Social, Streaming Media, etc) as well as organic (SEO, Engagement and Lifecycle Marketing, etc) and have an outsized impact on our broader marketing efforts. The Challenge Thumbtack is relatively early in the journey of building out a world-class Marketing Tech stack. This role reports to the Embedded Data Engineering team, but works day-to-day with the Marketing Tech engineering team, with a small sub-team of two other Data Engineers. You’ll work collaboratively to develop and build the vision of incorporating data through all aspects of marketing at Thumbtack, designed with our cross--functional team. Thumbtack fosters a very collaborative culture of builders, and as such, you’d help set the data architecture, be hands on in building our datasets and mentor engineers as we go. What you'll do Collaboratively refine and evangelize a comprehensive framework for integrating data-thinking into the software development lifecycle for marketing Design, architect, and maintain core marketing datasets, data marts, and feature stores that support a blend of mature products and features with a rapidly evolving product line, in partnership with analytics, data science, and machine learning Integrate with teams consisting of product engineers, analysts, data scientists, machine learning engineers throughout marketing to understand their data needs, and help design datasets with the same engineering rigor as any other software we design Drive data quality and best practices across marketing and business areas Help build the next generation of marketing data products at Thumbtack, based on real-time data products on top of Apache Kafka In order to be successful, you must bring 8+ years of experience designing, building, and scaling data systems—spanning pipelines, warehouses, and analytical data products that drive measurable business impact. Proven technical leadership in architecting and evolving complex data ecosystems, including ownership of data models, transformation frameworks, and integrations across multiple data domains; advanced proficiency in SQL and Python. Deep experience with modern data stacks, including cloud-native warehouses (e.g., BigQuery or Snowflake), orchestration tools (Airflow or equivalent), and transformation frameworks (dbt or similar). Strong system design and architecture mindset, able to reason about scalability, cost, and performance trade-offs, and define long-term data strategy. Exceptional collaboration and influence skills, partnering effectively with Marketing Engineering, Analytics, and Data Science to translate business goals into robust, production-grade data systems. Strong sense of ownership and accountability, balancing hands-on technical execution with the ability to mentor others, raise standards, and drive organization-wide improvements in data quality and reliability. Expected salary ranges For candidates living in San Francisco / Bay Area, San Jose, New York City, or Seattle metros, the expected salary range for the role is currently $249,900 - $323,400. For candidates living in Austin, TX or Washington DC metros or in California, Massachusetts, New Jersey, or Washington states, the expected salary range for the role is currently $224,900 - $291,100. For candidates living in all other US locations, the expected salary range for this role is currently $212,400 - $274,900. Actual offered salaries will vary and will be based on various factors, such as calibrated job level, qualifications, skills, competencies, and proficiency for the role. #LI-Remote Thumbtack embraces diversity. We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ancestry, citizenship, marital status, military or veteran status, genetic information, disability status, or any other characteristic protected by federal, provincial, state, or local law. We also will consider for employment qualified applicants with arrest and conviction records, consistent with applicable law. Thumbtack is committed to working with and providing reasonable accommodation to individuals with disabilities. If you would like to request a reasonable accommodation for a medical condition or disability during any part of the application process, please contact: recruitingops@thumbtack.com . If you are a California resident, please review information regarding your rights under California privacy laws contained in Thumbtack’s Privacy policy available at https://www.thumbtack.com/privacy/ . We put as much craftsmanship into candidate safety as we do into the hiring experience itself. While scammers may try to impersonate our team, we’ll never ask you for money, banking info, or SSNs during hiring. Check out our blueprint on how to spot the fakes. Read Less

We are looking for a Data Scientist to join the Business Analytics team at Spotify. In this role, you’ll shape Spotify’s performance marketing and growth strategy by developing models, designing experiments and measuring the impact of marketing investments. Partnering with the Growth Analytics Lead, you’ll turn data into strategies that guide budget allocation, optimize spend and accelerate efficient growth across paid media channels. You’ll collaborate with a global, cross-functional team of analysts, data scientists, marketers, business leaders, and engineers to scale insights and drive efficient growth. Learning and improving is part of our daily routine, and you will get a platform to develop your data skills and carve out efficient ways of working. The Business Analytics team is part of Spotify’s core business strategy organization. You’ll play a crucial role in the growth and direction of Spotify as we grow to 700M+ users around the globe. At your fingertips, you’ll have access to all of the data Spotify has to offer, and the opportunity to be creative with how you use it to derive insights and strategies. Above all, your work will impact the way the world experiences audio! What You'll Do Develop data-driven strategies to drive the growth of Spotify users and subscribers, with a focus on performance marketing Refine attribution practices and define robust, data-backed methods to measure the incremental impact of marketing spend Partner with third-party advertising platforms and agencies to design and implement comprehensive experiments and lift studies Contribute to annual and quarterly planning through impact forecasting, budget allocation and scenario modelling Build scalable data pipelines and dashboards to track marketing efficiency and Global business performance Collaborate closely with business partners to understand growth drivers and guide strategic marketing decisions Present insights and recommendations to senior stakeholders, influencing the course of our business Who You Are 3+ years synthesizing insights from data using tools such as Python/R and SQL Hands-on experience supporting marketing organizations with their paid media strategy, including running and analyzing incrementality tests on platforms like Meta, Google and TikTok Proven experience building advanced models to understand and optimise paid media campaigns Skilled at collaborating with business partners to measure the impact of marketing initiatives and presenting those findings in coherent recommendations Intellectually curious, creative, and diligent - you enjoy thinking about the business as much as about the data Have a background in Computer Science, Statistics, Engineering or other relevant field Comfortable working on a globally distributed team (with occasional international travel) Where You'll Be This role is based in New York We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. The United States base range for this position is $110,018 - $157,169, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, paid sick leave. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service. Read Less

About Fora Fora is the modern travel agency, redefining what it means to be a travel advisor in today’s world. We’re a next-generation platform that provides a comprehensive, business-in-a-box solution —combining cutting-edge technology , personalized training , a vibrant community , and exclusive industry partnerships —all designed to empower anyone with a passion for travel to turn that passion into a thriving business. Whether you're a travel enthusiast or an experienced professional, Fora equips you with everything needed to launch and scale a successful travel advisory business , making it the ultimate way to align work with your lifestyle. At the heart of Fora is our mission: to power the next generation of travel entrepreneurs to transform their love for travel into a fulfilling full-time or part-time career, offering unparalleled flexibility, autonomy, and support. We believe that everyone, from seasoned travel professionals to first-time entrepreneurs, can build a career that’s both profitable and aligned with their passions. Our platform combines innovative technology with the human touch, offering: Best-in-class training programs to help agents develop expert knowledge, no matter their starting point. A powerful suite of tools for booking, client management, and marketing, ensuring agents can focus on delivering exceptional travel experiences. Access to an engaged community of fellow advisors , fostering collaboration, support, and shared learning. Exclusive partnerships with top travel brands, providing access to competitive rates, perks, and experiences that elevate advisors’ offerings. Since our founding in 2021 by experienced travel entrepreneurs Henley Vazquez , Jake Peters , and Evan Frank , Fora has experienced rapid growth, expanding to a team of 130 + full-time employees based in downtown New York City . Earlier this year, we announced our $60 million Series B and C investment rounds , led by Thrive Capital and Insight Partners , with participation by previous investors including Forerunner and Heartcore Capital. This funding represents a vote of confidence in the enduring power of entrepreneurship, and secures our ability to build a category-defining travel brand. We have a vision for the future that leverages the best of humans and the best of technology to create the first truly unified platform for all travel needs - from staycation to the safari. We're proud of the recognition we've received, including: LinkedIn’s Top Startups List 2024 Fast Company’s Most Innovative Companies 2025 and 2023 Built In 2025 Best Places to Work And several "top agency" awards from our fantastic partners including Virtuoso, IHG, Four Seasons , and more Fora is a mission-driven company that believes in the power of entrepreneurship, community, and passion. As we continue to grow, we are looking for more talented and like-minded individuals to join our team - people who are excited about transforming the travel space and helping us scale our vision globally. About The Role We are looking for a Senior Data Analyst to join our growing Data team with a focus on Marketing Read Less

About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re hiring a Senior Marketing Data Analyst to support our Marketing organization and unlock insights from the rich internal data at Fivetran. This role focuses on analyzing marketing performance, campaign effectiveness, and funnel data to drive growth, optimize spend, and enable smarter decision-making. You’ll lead high-impact, cross-functional projects and develop trusted relationships with marketing, sales, and product partners. You’ll define and maintain core marketing metrics, own key data pipelines and dashboards, and help shape the team’s analytics culture and best practices. If you love digging into campaign attribution, untangling complex datasets, and turning insight into action — this is your opportunity to make a real impact. This is a full-time, hybrid position based out of our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use SQL (BigQuery) dbt/SQLMesh Looker/LookML Sigma/Hex/Google Colab/Google Sheets Jira What You’ll Do Define and own Marketing metrics across funnel performance, campaign effectiveness, pipeline contribution, and ROI; establish benchmarks and enable monitoring through dashboards and self-serve tools. Analyze diverse datasets (e.g., digital campaigns, website analytics, CRM, product usage, pipeline and revenue data) to generate actionable insights and recommendations that improve efficiency and growth. Lead cross-functional projects with Marketing, Sales, Finance, and Product partners in areas such as: campaign attribution and performance, pipeline conversion efficiency, spend optimization, and audience segmentation. Analyze marketing experiments (e.g., A/B tests, channel pilots, creative variations) to measure impact, validate hypotheses, and provide clear recommendations for scaling or iterating. Investigate anomalies and performance shifts , conducting deep dives and creative exploration across disparate datasets to uncover root causes and opportunities. Own and enhance data infrastructure for Marketing Analytics — from metric definitions to data pipelines to dashboards and reporting systems. Shape data culture by mentoring junior analysts and establishing best practices in metric design, marketing analytics quality, and data storytelling. Skills We’re Looking For 4+ years of experience analyzing data in a marketing, growth, or go-to-market context Advanced proficiency in SQL and data modeling; fluency with large, complex, and cross-functional datasets Experience with BI tools such as Looker, Tableau, or similar platforms for building dashboards and visualizations Strong attention to detail and a proven track record of analytical rigor in delivering reliable insights Excellent communication and storytelling skills — able to simplify complex analyses and influence marketing and business decision-makers Comfortable taking ownership of ambiguous problems and developing end-to-end analytic solutions Demonstrated success using analytics to drive decisions in areas like campaign performance, funnel optimization, spend efficiency, or revenue impact Passion for leveraging data and analytics to shape marketing strategy and drive measurable business impact Bonus Skills Experience working with marketing and funnel-level data (e.g., campaign performance, website analytics, CRM/marketing automation data, or product usage signals) Proficiency in Python or R for deeper analysis, statistical modeling, and automation of reporting Background in B2B SaaS or growth-focused marketing analytics , ideally in environments with complex funnels, multi-channel attribution, or developer-focused products Strong expertise in marketing attribution and ROI analysis, connecting spend and campaigns to pipeline and revenue outcomes Applied knowledge of statistical methods (e.g., regression modeling, significance testing, experiment analysis) to evaluate marketing impact and guide decision-making #LI-HYBRID #LI-EM1 Read Less

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. OVERVIEW We are looking for economists and machine learning engineers to join our fast-moving team. The Economics team at Instacart works on a range of interesting and challenging problems, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making. There is tremendous opportunity in front of us, and joining now gives you a chance to grow your career and interests as we succeed. ABOUT THE ROLE The ideal candidate for this role will have extensive applied experience in paid marketing (e.g., incrementality estimation, experimentation, marketing mix models) and bring a combination of experience in both economics and machine learning. More senior candidates are also welcome to apply. ABOUT THE TEAM The Economics team at Instacart works on a range of interesting and challenging problems, from aligning the incentives in our multi-sided marketplace to analyzing the role of prices and product placement in our customers' decision-making. Some of the core areas of focus for our team include pricing, online advertising, uplift and long term value modeling, and general causal inference. ABOUT THE JOB You will help design and build end-to-end machine learning solutions and optimization algorithms, with a particular focus on paid marketing. You will be working in small and cross-functional product teams, with great opportunities for growth and ownership of projects. You will be an active member of an internal community, including economists, data scientists, operations research scientists and machine learning engineers, sharing learnings, best practices and research across many domains. You will develop high impact solutions to support Instacart's ambitious growth plans. You will work closely with engineers, product managers, other teams, and both internal and external stakeholders, owning a large part of the process from problem understanding to recommending a solution and testing it in controlled experiments. You will have the freedom to suggest and drive organization-wide initiatives. ABOUT YOU MINIMUM QUALIFICATIONS PhD in Economics, Marketing, or Finance with focus on data-intense problems or 3-5 years of industry experience in machine learning or economics roles. Deep applied expertise in marketing applications, including MMMs, experimentation, and incrementality estimation. A blend of economic theory, applied econometrics, and business skills that let you jump into a fast-paced environment and contribute from day one. Expertise in causal inference with observational and experimental data. Strong engineering skills with expertise in R or Python and fluency in data manipulation (SQL, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools. An ability to identify and prioritize high-impact problems and deliver solutions that provide reasonable trade-offs between urgency and quality. Willing and able to travel internationally based on job requirements. Self-motivation and a strong sense of ownership. PREFERRED QUALIFICATIONS Experience with training large-scale models and model deployment on cloud services (Docker, AWS/GCP/Azure) Experience building full-stack, data-driven internal tooling. Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here . Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here . For Canadian based candidates, the base pay ranges for a successful candidate are listed below. CAN $203,000 — $225,000 USD Read Less

Belvedere Trading is a leading proprietary trading firm proudly headquartered in downtown Chicago. Our traders work hard to provide liquidity to the market through their market-making activities and are the masters of a diverse set of commodities, interest rates, exchange-traded funds (ETF), and equity index options. From the beginning, we began iteratively investing in our proprietary technology and committing to Women and underrepresented groups frequently apply to jobs only if they meet 100% of the qualifications. We encourage you to break that mold and apply. No candidate is perfect; all have a lot to offer. We welcome your application. Core Values The secret to our award-winning culture is our Core Values: Team Belvedere, Me In Team, Own It, Iterative Innovation, and Passionate Discourse . We live and breathe these values every day. Our Stance Belvedere is an Equal Opportunity Employer and is committed to providing a non-discriminatory employment environment for its employees. Discrimination against employees and applicants due to race, color, religion, sex, national origin, disability, age, military, and veteran status is prohibited. Belvedere encourages initiatives to increase diversity and provide equal opportunity to all applicants and employees. Belvedere is committed to providing a positive environment in which team members are treated with respect, dignity, and courtesy. Our firm believes in a dynamic culture of inclusion and diversity, where people thrive on individual and organizational characteristics, values, experiences, and backgrounds. Please note that Belvedere Trading does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resumes will become the property of Team Belvedere. No phone calls, please. Any questions regarding the virtual recruiting process, please reach out to recruiting@belvederetrading.com. Read Less

Job Description: Before you apply, please note: This is a hybrid role open to candidates within commuting distance of our South Salt Lake City headquarters. As a Marketing Data Analyst at PDQ, you will play a critical role in enabling data-driven decision making across the marketing organization. You’ll turn complex data into actionable insights that fuel growth, optimize marketing performance, and drive efficiency across acquisition, retention, and lifecycle initiatives. You’ll collaborate closely with marketing, sales, and operations teams to measure performance, design experiments, and guide strategic investments. What you'll be doing: Analyze campaign and channel effectiveness to identify optimization opportunities and recommend data-backed improvements. Develop and maintain dashboards and reports that track marketing performance, funnel metrics, and ROI across channels. Partner with Marketing Operations and RevOps to ensure data accuracy, consistency, and integration across marketing and CRM platforms. Conduct cohort, segmentation, and attribution analyses to understand customer behavior and inform targeting and personalization strategies. Design and evaluate A/B tests and experiments to measure the impact of campaigns, creative, and messaging. Provide insights into customer acquisition cost (CAC), lifetime value (LTV), churn, retention, and pipeline velocity. Collaborate with data and operations teams to improve tracking, tagging, and data pipelines for marketing analytics. Translate complex analytics into clear recommendations for marketing, product, and leadership teams. Support annual and quarterly planning by forecasting and modeling marketing performance and growth scenarios. We're looking for people who have: Bachelor’s degree in Marketing, Statistics, Economics, Business, or a related field. 3–5 years of experience in marketing analytics, marketing operations, or a related data-focused marketing role (B2B SaaS strongly preferred). Strong proficiency in SQL and experience building queries to extract and manipulate data. Strong proficiency in Excel for analysis, data modeling, and reporting. Hands-on experience with BI and data visualization tools (e.g., Tableau, Looker, Power BI). Familiarity with marketing automation and CRM systems (e.g., HubSpot, Salesforce). Solid understanding of key marketing metrics—CAC, LTV, funnel conversion, retention, ROI, etc. Excellent communication skills and ability to translate data into actionable business insights. Strong attention to detail, problem-solving mindset, and collaborative working style. Preferred: Experience in SaaS or Product-Led Growth (PLG) environments . Familiarity with Sigma or similar tools Familiarity with modern data stacks (dbt, Snowflake, BigQuery). PDQ Perks Read Less

About Semgrep Our mission is to make world-class software security available to everyone. This means building program analysis tools that are open source, easy to use, powerful, and fast. It also means building a team with security expertise and a passion for great developer experiences. Most of all, it means working with honesty and respect in a diverse community of dreamers and builders. We’ve redefined static analysis tooling by committing to all of these, and turned our project, Semgrep, into an essential safeguard for code at Snowflake, Dropbox, and more. About Semgrep Our mission is to make world-class software security available to everyone. This means building program analysis tools that are open source, easy to use, powerful, and fast. It also means building a team with security expertise and a passion for great developer experiences. Most of all, it means working with honesty and respect in a diverse community of dreamers and builders. We’ve redefined static analysis tooling by committing to all of these, and turned our project, Semgrep, into an essential safeguard for code at Snowflake, Dropbox, and more. About the role As a Senior Marketing Data Engineer within Revenue Marketing, you’ll be instrumental in shaping data-driven marketing strategies that drive measurable growth across our revenue organization, including demand generation, channel partnerships, and sales. In this role, you’ll build and optimize data infrastructure that delivers actionable insights, empowering the team to make high-impact, data-informed decisions. Leveraging advanced analytics and predictive modeling, you’ll help forecast marketing trends and inform strategic investment choices. You’ll also take ownership of data integrity, working closely with marketing operations to ensure quality data collection and analysis. Reporting to the Head of Revenue Marketing, you’ll play a pivotal role in aligning analytics with our marketing vision and maximizing campaign effectiveness through experimentation and robust KPI tracking. What you'll achieve Build and Automate Reporting Solutions: Work with leaders across marketing and revenue teams to create easy-to-use reporting tools that promote transparency and accountability. Automate routine reports to give Revenue Operations clear, valuable insights and more time to focus on strategic work. Drive Data-Backed Marketing Strategies: Use data to shape strategies in demand generation, account-based marketing (ABM), and channel partnerships. Set up performance metrics that guide smart decisions as we expand our marketing channels, ensuring our resources are used effectively. Lead Customer Acquisition Forecasting: Own the customer acquisition forecast process within Revenue Operations, working closely with Finance to track progress toward goals. Use predictive analytics to anticipate trends and help the team stay ahead of changing customer needs. Ensure Data Quality Across Systems: Partner with Business Systems to improve data quality and reliability, making sure all processes and tools work smoothly together. Take the lead in ensuring data accuracy and setting up reliable data collection and reporting practices. Use Advanced Analytics to Improve Campaigns: Apply statistical methods like A/B testing to dig into campaign performance and find opportunities for improvement. Support marketing operations by helping optimize our technology setup so it can deliver clear, actionable insights for the team Ensure Data Integrity and Quality: Build and maintain processes that guarantee high-quality, accurate data collection and reporting, serving as a key steward of data integrity within the revenue marketing team. Drive Predictive Analytics and Modeling: Leverage advanced analytics and predictive modeling to forecast marketing trends, guiding strategy and anticipating customer needs. Optimize Marketing Investments: Support budget optimization by providing data-backed analyses that inform resource allocation, helping prioritize initiatives with the greatest revenue impact. Enhance Marketing Technology Stack: Collaborate with the marketing operations team to optimize our technology stack, ensuring it supports comprehensive analytics and seamless reporting. You are ideal for this role if you have 7+ Years of Relevant Experience: Extensive experience in Revenue Operations, Sales Operations, Growth Analytics, or Business Intelligence, with a focus on leveraging data to drive strategic decisions. 5+ Years Collaborating with Marketing and Sales Teams: Solid understanding of go-to-market (GTM) metrics and how they inform marketing strategies and sales initiatives. Data-Driven Problem Solver: Proven ability to translate complex business processes and data into actionable analytics solutions that address key business questions. Expert SQL Proficiency: Mastery of SQL for querying and manipulating large datasets, coupled with familiarity with Salesforce, Marketo (or comparable marketing automation tools), and a BI tool (Tableau, Looker, Power BI, etc.) to create insightful reports and dashboards. Strong Dimensional Modeling and Data Warehousing Knowledge: Deep understanding of dimensional modeling principles and data warehousing concepts to design and maintain efficient data structures. Cross-Functional Collaboration Skills: Demonstrated ability to work effectively across teams, understanding the underlying needs behind data requests to deliver tailored analytics solutions. Data Quality and Troubleshooting Expertise: Experience in identifying and resolving data discrepancies, working closely with Business Systems and Engineering teams to address upstream data issues and improve data integrity. Curiosity and Analytical Mindset: A strong desire to understand complex systems and processes, with a knack for creating clarity and order from chaotic data environments. Constructive Attitude Toward Improvement: A balanced approach to evaluation, with the ability to recognize what’s working well while identifying opportunities for enhancement. Compensation/Location Must be willing to be onsite in our SF office 2-3 days per week. Salary Range: $133,000 - $196,000 Our compensation package includes equity and benefits in addition to salary. Please note that the range listed is for someone based in the San Francisco Bay Area. What we offer Our goal is to competitively and fairly compensate every Semgrep employee with a system that equally rewards those who are vocal and those who are less comfortable making demands during the final steps of the hiring process. To that end, we generate internal compensation bands that are used when discussing and negotiating salaries. We update these based on market data to make sure they’re above the average for comparable roles. We also invest in our employees’ well-being and long term success with comprehensive health plans, generous vacation time, 401k, learning stipends, and more. Our benefits are for everyone, so that you’re taken care of, and we work with individuals to make sure they have what they need, whether that’s quiet work space, adjusted hours, or something else. Who we are We have people from France and the Philippines, physics and philosophy, formal methods research and full fledged corporations. We’re new parents and new grads, aspiring authors and aspiring Americans, dog lovers and dogfooders. We get together often to bike, bake, and meet up in parks. In our interactions, we believe respect and honesty go hand in hand, and prioritize both. Semgrep is an equal-opportunity employer seeking a diverse range of backgrounds. We value who you are — including your cultural heritage, your socioeconomic status, your age, your race, your gender, your sexual orientation, your disabilities. We value what’s vitally important to you — your family, your religion, your politics. We value what you love in this world — your music, your weekend pursuits. We believe in welcoming varied professional backgrounds, educations, and interests. If you’re exceptional in your role, believe in Semgrep’s mission, and treat Semgrep’s values as your own, you belong here. Read Less

WHO ARE WE? Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase. The company is headquartered in vibrant downtown Delray Beach, Florida , with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners. BASE SALARY: $110,000 to $150,000 per year, paid semi-monthly MUST HAVE: Experience BI, analytics, or marketing/data science roles with digital marketing exposure. Experience in digital media or performance marketing industries Advanced SQL and Looker proficiency. Strong business acumen and cross-functional communication skills. EXPERIENCE: Minimum of 5 years in business intelligence or analytics in digital media or performance marketing. YOUR ROLE Deliver actionable business intelligence and strategic insights that drive revenue and margin growth across Launch Potato’s digital properties. Outcomes (Performance Expectations) Clean, standardize, and document stakeholder-facing dashboards in Looker with aligned definitions and metrics within the first 60 days. Identify and resolve at least five inconsistencies or discrepancies in reporting logic within the first 90 days. Partner with FP thinks beyond the dashboard. Communication: Distills complex data into simple narratives for technical and non-technical stakeholders. Ownership: Delivers timely insights and updates; proactively surfaces blockers or gaps. Collaboration: Forms strong partnerships across product, media, and finance teams. 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 make your impact in a profitable, high-growth company? 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. Read Less

WHO ARE WE? Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase. The company is headquartered in vibrant downtown Delray Beach, Florida , with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners. BASE SALARY: $110,000 to $150,000 per year, paid semi-monthly MUST HAVE: Experience BI, analytics, or marketing/data science roles with digital marketing exposure. Experience in digital media or performance marketing industries Advanced SQL and Looker proficiency. Strong business acumen and cross-functional communication skills. EXPERIENCE: Minimum of 5 years in business intelligence or analytics in digital media or performance marketing. YOUR ROLE Deliver actionable business intelligence and strategic insights that drive revenue and margin growth across Launch Potato’s digital properties. Outcomes (Performance Expectations) Clean, standardize, and document stakeholder-facing dashboards in Looker with aligned definitions and metrics within the first 60 days. Identify and resolve at least five inconsistencies or discrepancies in reporting logic within the first 90 days. Partner with FP thinks beyond the dashboard. Communication: Distills complex data into simple narratives for technical and non-technical stakeholders. Ownership: Delivers timely insights and updates; proactively surfaces blockers or gaps. Collaboration: Forms strong partnerships across product, media, and finance teams. 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 make your impact in a profitable, high-growth company? 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. Read Less

WHO ARE WE? Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase. The company is headquartered in vibrant downtown Delray Beach, Florida , with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners. BASE SALARY: $110,000 to $150,000 per year, paid semi-monthly MUST HAVE: Experience BI, analytics, or marketing/data science roles with digital marketing exposure. Experience in digital media or performance marketing industries Advanced SQL and Looker proficiency. Strong business acumen and cross-functional communication skills. EXPERIENCE: Minimum of 5 years in business intelligence or analytics in digital media or performance marketing. YOUR ROLE Deliver actionable business intelligence and strategic insights that drive revenue and margin growth across Launch Potato’s digital properties. Outcomes (Performance Expectations) Clean, standardize, and document stakeholder-facing dashboards in Looker with aligned definitions and metrics within the first 60 days. Identify and resolve at least five inconsistencies or discrepancies in reporting logic within the first 90 days. Partner with FP thinks beyond the dashboard. Communication: Distills complex data into simple narratives for technical and non-technical stakeholders. Ownership: Delivers timely insights and updates; proactively surfaces blockers or gaps. Collaboration: Forms strong partnerships across product, media, and finance teams. 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 make your impact in a profitable, high-growth company? 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. Read Less

WHO ARE WE? Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase. The company is headquartered in vibrant downtown Delray Beach, Florida , with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners. BASE SALARY: $110,000 to $150,000 per year, paid semi-monthly MUST HAVE: Experience BI, analytics, or marketing/data science roles with digital marketing exposure. Experience in digital media or performance marketing industries Advanced SQL and Looker proficiency. Strong business acumen and cross-functional communication skills. EXPERIENCE: Minimum of 5 years in business intelligence or analytics in digital media or performance marketing. YOUR ROLE Deliver actionable business intelligence and strategic insights that drive revenue and margin growth across Launch Potato’s digital properties. Outcomes (Performance Expectations) Clean, standardize, and document stakeholder-facing dashboards in Looker with aligned definitions and metrics within the first 60 days. Identify and resolve at least five inconsistencies or discrepancies in reporting logic within the first 90 days. Partner with FP thinks beyond the dashboard. Communication: Distills complex data into simple narratives for technical and non-technical stakeholders. Ownership: Delivers timely insights and updates; proactively surfaces blockers or gaps. Collaboration: Forms strong partnerships across product, media, and finance teams. 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 make your impact in a profitable, high-growth company? 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. Read Less

Company Overview ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 140 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 44 state government agencies, and 66 healthcare organizations. More than 600 consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me’s technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to “No Identity Left Behind” to enable all people to have a secure digital identity. To learn more, visit https://network.id.me/ . ID.me is looking for a Data Scientist to help pioneer the Data Science function with the company, and to drive Data Science for Marketing and Lifecycle Communications. By filling this role, ID.me will be equipped to manage the growing complexity of data interactions and member expectations effectively. The Data Scientist V will play a critical role in enhancing the security, usability, and personalization of the ID.me platform, driving increased satisfaction and engagement among members and partners. This position will be pivotal in transforming ID.me into a trusted, centralized service for identity and data management across the digital landscape. Responsibilities Data Analysis and Integration: Analyze large datasets to understand patterns and trends in member behavior and data accuracy. Develop algorithms and models to integrate member data seamlessly across various platforms, ensuring data integrity and relevance in real-time during member authentication processes. Machine Learning and Predictive Modeling: Design and deploy machine learning models to predict member data changes, such as address or contact information updates. Use predictive analytics to anticipate member needs and reduce friction in updating and authorizing data across multiple platforms. Data Quality Assurance: Implement robust data validation and cleansing techniques to ensure the accuracy and quality of data used across the network. Continuously monitor data quality metrics and develop automated systems to correct inconsistencies and errors in real-time. Profile Management Innovation: Lead initiatives to create dynamic member profiles that align with various use cases and contexts, enhancing personalization and relevance of data. Work closely with the UX team to integrate these profiles into partner authentication screens and ID.me's own interfaces effectively. Cross-functional Collaboration: Collaborate with technical teams, product managers, and business stakeholders to enhance the ID.me platform's functionality, focusing on data governance and the secure sharing of sensitive information. Ensure that all data handling complies with relevant regulations and ethical standards. Data Governance and Strategy: Develop and oversee data governance policies that support scalable, secure, and efficient data operations. Advise on the strategic use of data and analytics to drive business decisions and improve the member experience. Data Governance and Strategy Translate insights into narratives that enable marketing investment decisions at the executive level. Marketing and Lifecycle-Specific Responsibilities Campaign and Channel Analytics: Analyze performance across paid, owned, and earned channels, providing funnel analysis (impressions → leads → conversions), channel ROI metrics (CPC, CPL, LTV), and real-time dashboards to guide tactical optimization. Audience Insights and Segmentation: Use behavioral and demographic data to construct audience segments, journey maps, and high-value member personas to inform campaign targeting and personalized communications. Forecasting and Target-Setting: Utilize historical performance, market benchmarks, and predictive modeling to forecast campaign and channel outcomes and inform goal-setting processes. Experimentation and Optimization: Design and evaluate A/B tests and multivariate experiments to refine messaging, creative, and media mix; guide the Marketing team in data-driven optimization loops. Churn and Retention Analytics: Build models that identify at-risk members and recommend interventions to increase lifecycle retention and re-engagement. Marketing Mix Modeling: Support budgeting and planning by quantifying the relative impact of various channels and tactics on business outcomes. Basic Qualifications 7+ years of hands-on experience in data science for a SaaS company or a mature startup BS/MS in Data Science or a related quantitative or scientific field 3+ years of experience working with SQL and Python. The annual base salary listed does not include a company bonus, incentive for sales roles, equity and benefits which will be determined based on experience, skills, education, relevant training, geographic location and role. ID.me offers comprehensive medical, dental, vision, health savings account, flexible spending accounts (medical, limited purpose, dependent care, commuter benefit accounts), basic and voluntary life and AD Read Less

WHO ARE WE? Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase. The company is headquartered in vibrant downtown Delray Beach, Florida , with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners. BASE SALARY: $110,000 to $150,000 per year, paid semi-monthly MUST HAVE: Experience BI, analytics, or marketing/data science roles with digital marketing exposure. Experience in digital media or performance marketing industries Advanced SQL and Looker proficiency. Strong business acumen and cross-functional communication skills. EXPERIENCE: Minimum of 5 years in business intelligence or analytics in digital media or performance marketing. YOUR ROLE Deliver actionable business intelligence and strategic insights that drive revenue and margin growth across Launch Potato’s digital properties. Outcomes (Performance Expectations) Clean, standardize, and document stakeholder-facing dashboards in Looker with aligned definitions and metrics within the first 60 days. Identify and resolve at least five inconsistencies or discrepancies in reporting logic within the first 90 days. Partner with FP thinks beyond the dashboard. Communication: Distills complex data into simple narratives for technical and non-technical stakeholders. Ownership: Delivers timely insights and updates; proactively surfaces blockers or gaps. Collaboration: Forms strong partnerships across product, media, and finance teams. 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 make your impact in a profitable, high-growth company? 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. Read Less

Netflix is one of the world s leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. At Netflix, our mission is to connect global stories with audiences worldwide. When a Netflix member opens our app, we have a few precious moments to help them choose a story or a game that is right for them at that instance. Presenting them evidence – Artwork, Trailers, Synopses – that authentically represents each title and resonates with the member is essential to this effort. Beyond connecting global stories with existing audiences, we also aim to reach new subscribers and increase engagement through innovative marketing campaigns. By crafting compelling and targeted marketing strategies, we strive to capture the attention of potential members and convert their interest into subscriptions. Additionally, we focus on increasing conversation and excitement about Netflix and our content, creating buzz and anticipation that encourages both current and prospective members to explore and engage with our diverse offerings. Getting this evidence just right for each title is a tall order; however, the Promo Media Algo team, with assistance from creative supervision and member feedback data, have built tools processes that use technologies like Computer Vision, and Machine Learning to enable our creators to tell the best version of the story they want while allowing our studio to scale further. Join us to be part of a team that is shaping the future of media and marketing at Netflix. We are seeking an experienced Machine Learning Software Engineer with 5 years of experience to join our team. You will work closely with our ML scientists to design and develop scalable systems and workflows that enable the efficient development, deployment, and operation of ML/CV algorithms across Netflix s Promo Media and Marketing workflows. This role supports a diverse portfolio of projects - from batch Computer Vision pipelines processing every video package ingested to Netflix, to real-time GenAI systems serving creative workflows - requiring versatility and expertise across different ML deployment paradigms. Responsibilities: Architect and implement robust ML pipelines and reusable frameworks across the full ML lifecycle in the multimedia domain, including data processing, efficient distributed model training with GPUs, and deploying models into creator workflows and production systems, personally developing critical components while providing technical leadership and mentorship to team members implementing other parts of the system Collaborate cross-functionally with ML scientists, product managers, and engineers to define and prioritize system requirements Partner with our ML platform team to translate technical needs into infrastructure requirements, advocating for platform capabilities that enhance reliability, boost team productivity, and support our long-term vision for innovation at scale Optimize systems and workflows for latency, throughput, and reliability across both batch processing workflows and real-time services to meet SLA requirements Strategically identify and address technical debt to improve development velocity, while implementing tools and processes that enhance team productivity and code quality About you: 5 years of proven experience in software engineering for ML projects and products, with strong proficiency in Python BSc in Computer Science, Electrical Engineering, or a related technical field. Familiarity with ML libraries such as PyTorch, experience with ML/CV/GenAI pipelines, and knowledge of distributed data processing systems. Experience with ML workflow orchestration tools like Metaflow, Airflow, or similar pipeline management systems Proficient in cloud infrastructure, including S3, Docker containers. Basic understanding of (multi) GPU training and inference for debugging and performance assessment, and CUDA runtime. Demonstrated ability to effectively communicate technical requirements and influence infrastructure decisions across team boundaries Track record of mentoring engineers on ML engineering best practices while balancing technical debt reduction with feature delivery Excellent communication and interpersonal skills, with a strong ability to navigate ambiguity. You are collaborative and thrive in fast-paced dynamic environments, contributing positively to the team and company culture. The Netflix culture resonates with you. Bonus Experience: Experience with GPU training and inference optimization, performance tuning, and debugging Experience building end-to-end multimedia systems and computer vision algorithms. Familiarity with generative models and tools, such as diffusion-based models Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $150,000 - $750,000 . Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled. Read Less

WHO ARE WE? Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase. The company is headquartered in vibrant downtown Delray Beach, Florida , with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners. BASE SALARY: $110,000 to $150,000 per year, paid semi-monthly MUST HAVE: Experience BI, analytics, or marketing/data science roles with digital marketing exposure. Experience in digital media or performance marketing industries Advanced SQL and Looker proficiency. Strong business acumen and cross-functional communication skills. EXPERIENCE: Minimum of 5 years in business intelligence or analytics in digital media or performance marketing. YOUR ROLE Deliver actionable business intelligence and strategic insights that drive revenue and margin growth across Launch Potato’s digital properties. Outcomes (Performance Expectations) Clean, standardize, and document stakeholder-facing dashboards in Looker with aligned definitions and metrics within the first 60 days. Identify and resolve at least five inconsistencies or discrepancies in reporting logic within the first 90 days. Partner with FP thinks beyond the dashboard. Communication: Distills complex data into simple narratives for technical and non-technical stakeholders. Ownership: Delivers timely insights and updates; proactively surfaces blockers or gaps. Collaboration: Forms strong partnerships across product, media, and finance teams. 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 make your impact in a profitable, high-growth company? 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. Read Less

WHO ARE WE? Launch Potato is a digital media company with a portfolio of brands and technologies. As The Discovery and Conversion Company, Launch Potato is a leading connector of advertisers to customers at all parts of the consumer journey, from awareness to consideration to purchase. The company is headquartered in vibrant downtown Delray Beach, Florida , with a unique international team across over a dozen countries. Launch Potato's success comes from a diverse, energetic culture and high-performing, entrepreneurial team. As a result, the company is always looking for like-minded teammates and partners. BASE SALARY: $110,000 to $150,000 per year, paid semi-monthly MUST HAVE: Experience BI, analytics, or marketing/data science roles with digital marketing exposure. Experience in digital media or performance marketing industries Advanced SQL and Looker proficiency. Strong business acumen and cross-functional communication skills. EXPERIENCE: Minimum of 5 years in business intelligence or analytics in digital media or performance marketing. YOUR ROLE Deliver actionable business intelligence and strategic insights that drive revenue and margin growth across Launch Potato’s digital properties. Outcomes (Performance Expectations) Clean, standardize, and document stakeholder-facing dashboards in Looker with aligned definitions and metrics within the first 60 days. Identify and resolve at least five inconsistencies or discrepancies in reporting logic within the first 90 days. Partner with FP thinks beyond the dashboard. Communication: Distills complex data into simple narratives for technical and non-technical stakeholders. Ownership: Delivers timely insights and updates; proactively surfaces blockers or gaps. Collaboration: Forms strong partnerships across product, media, and finance teams. 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 make your impact in a profitable, high-growth company? 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. Read Less