SLAY is seeking a Senior Marketing Data Engineer to contribute to their rapidly expanding mobile app business.  The role involves leveraging data to optimize marketing campaigns and drive growth.  Responsibilities include SKAdNetwork (SKAN) attribution modeling, LTV forecasting, predictive modeling, and working with large datasets. The ideal candidate possesses strong SQL and programming skills (Python or R), experience with predictive modeling and machine learning techniques, a deep understanding of attribution models, and familiarity with cloud data warehouses. The role demands a highly driven and results-oriented individual capable of working independently and within a fast-paced environment. This is a hands-on position requiring versatility and a willingness to take on various tasks.  The company emphasizes a flat organizational structure, data-driven decision-making, and a strong work ethic.

<p>Building social gaming products.</p><p><br></p>

Slay

Senior Marketing Data Engineer (SKAN Attribution, LTV forecasting)

Analytics Engineer

Marketing Data Analyst (SKAN Attribution, LTV forecasting)

React Native Engineer

Backend Engineer

Community & Social Media Manager

Chief of Staff

<div class="EditorContent-sc-dc2fd2dc-0 RmbKY"><div class="sc-hLseeU eFIfeu"><p>SLAY, founded in December 2022, has swiftly made its mark in the mobile world. The company developed 5 apps and games that reached the #1 spot in the App Store across 3 continents.</p><p>Backed by some of the world's most esteemed investors, including Accel, Kevin Weil, Riccardo Zacconi, Scott Belsky, and Ilkka Paananen, SLAY is rapidly growing and reaching millions of users.</p><p>Our mission is to create digital life through AI and become the leading company for virtual friends that live, grow and evolve like humans—starting with Pengu. Pengu has become the biggest AI character app with its own IP in the US and Europe.</p></div><h2 class="sc-hLseeU gDfXIv">Tasks</h2><div class="sc-hLseeU eFIfeu"><ul><li><strong>Location</strong>: In-person working (Berlin). No remote/hybrid.</li><li><strong>A-Players Only</strong>: We’re building a team of top-tier talent. A-players hire A-players. We’d rather invest in one exceptional person with an above-market salary they’re thrilled about than settle for multiple B-players at standard rates.</li><li><strong>Drive</strong>: You’re relentless and motivated to do whatever it takes to succeed. You might have something to prove, a fire in your belly, or a mind that works differently. Work isn’t just a job—it’s a core part of who you are and how you find purpose.</li><li><strong>Grind</strong>. We work/text on weekends and at night. It’s ok to send messages at 3am.</li><li><strong>Urgency</strong>: Move at lightning speed—turn weeks into days, hours into minutes. Smash through obstacles to get results. Respond instantly, not eventually.</li><li><strong>Relentless</strong>. Winning comes first.Follow up 10x a day if needed. Triple-text or call if someone’s ghosting you. Persistence is your superpower.</li><li><strong>Fast Firing</strong>: We move on quickly from anyone who isn’t an A-player. You’ll need to be comfortable with this. Paid trials help us both figure out the fit upfront.</li><li><strong>Mission-Driven</strong>: Our mission—“Becoming the leading company for virtual characters”—excites you. You’re here to make an impact.</li><li><strong>Versatility</strong>: No task is beneath you. Wear many hats. No job is not your job.</li><li><strong>EV-Based Decisions</strong>: We optimize for expected value, not comfort zones. No playing it safe with “good enough” choices.</li><li><strong>Flat Structure</strong>: Flat company org. Titles reflect scope. No political promotion games.</li></ul><p>If you’re an A-player ready to run hard and win big, this is your shot. Let’s build something extraordinary together.</p></div><h2 class="sc-hLseeU gDfXIv">Requirements</h2><div class="sc-hLseeU eFIfeu"><ul><li>Strong expertise in SQL and experience with data analysis tools.</li><li>Proficiency in a programming language (e.g., Python or R).</li><li>Experience with predictive modeling techniques and forecasting LTV.</li><li>Familiarity with machine learning concepts and algorithms relevant to marketing analytics.</li><li>Strong knowledge of attribution models, including probabilistic and multi-touch models.</li><li>Familiarity with mobile attribution challenges like SKAdNetwork (SKAN).</li><li>Experience with cloud data warehouses is a plus.</li><li>Having product sense, eyes for the details is great</li><li>No product managers</li><li>0-1, early stage data experience is great</li><li>Passion and experience building consumer-facing products! We’d love to hear about apps you’ve made!</li></ul></div></div>