Growth Data Engineer

About OpenArtOpenArt is an AI Storytelling and Visual Creation Platform used by millions worldwide. We’re building the next generation of creative tools powered by cutting-edge AI, enabling anyone to create videos, visuals, characters, and stories with unprecedented speed and imagination. We believe the future of creativity is AI-native, and we’re shaping that future. Why Join OpenArtOwn the measurement and attribution layer of a fast-scaling AI company.Direct impact on growth — your work drives acquisition efficiency and revenue.Work across product, marketing, and data — highly cross-functional role.Build from 0 → 1 — define how we track, attribute, and optimize growth.High ownership, low process, fast iteration environment.7–10X revenue growth over the past 2 years — now scaling growth infrastructure. About the RoleWe’re looking for a Growth Data Engineer to build and own OpenArt’s marketing data and attribution systems, ensuring that all acquisition and lifecycle efforts are accurately measured and optimized.This role sits at the intersection of data engineering, marketing tech, and analytics — focused on making sure that data flows reliably between product, warehouse, CRM, and ad platforms.You will be responsible for ensuring that every marketing dollar is measurable, attributable, and optimizable — from first touch to revenue. What You’ll DoBuild and maintain marketing attribution systems (UTM tracking, user journey, conversion mapping)Implement and manage 1st-party data passback to ad platforms (e.g., conversions, revenue, LTV signals)Configure and maintain tracking infrastructure:GTM (client + server-side)Google Ads (Enhanced Conversions)Meta Pixel + Conversions APILinkedIn, TikTok, and other ad platformsSet up and maintain conversion events and schemas across platformsEnsure consistent event definitions and naming across product, CRM, and ad platformsBuild and manage audience sync pipelinesIntegrate CRM and warehouse data into ad platforms for optimization (offline conversions, lead stages, revenue)Operationalize new marketing experiments (UTMs, tracking parameters, campaign setup)Debug and resolve tracking and attribution discrepancies across systems (e.g., Ads vs CRM vs warehouse)Build and validate marketing and pipeline dashboards, ensuring data accuracy and consistencyImplement privacy-safe tracking practices (Consent Mode, CMP integrations)Partner closely with growth, product, and data teams to ensure measurement supports decision-making ‍ What We’re Looking ForCore Requirements3–5 years of experience in growth data, marketing data engineering, or analytics engineeringStrong hands-on experience with:GTM, pixels, conversion APIsAd platforms (Google Ads, Meta, etc.)Experience implementing conversion tracking and attribution systemsExperience sending offline conversions / LTV signals back to ad platformsFamiliarity with data pipelines and warehouse concepts (BigQuery, SQL, ETL/ELT)Strong SQL skills; comfortable working with data directlyStrong debugging skills — able to systematically investigate and resolve data discrepanciesComfortable working cross-functionally with marketing, product, and data teamsHigh ownership, fast execution, and strong attention to detailNice to HaveExperience supporting performance marketing teamsFamiliarity with:Attribution models (last-click, MTA, probabilistic vs deterministic)Privacy frameworks (SKAN, ATT, Privacy Sandbox)Experience with mobile attribution tools (AppsFlyer, Adjust, Branch)Experience with experimentation and A/B testing frameworksExperience in consumer product, marketplaces, or e-commerceBasic Python or scripting for automation⚙ Tech Stack You’ll Work WithGTM, Google Ads, Meta Ads, TikTok Ads, BigQuery, Metabase, Amplitude, Stripe, SQL, GCP CompensationCompetitive base salary and bonus programEquity — meaningful ownership in what you buildHigh autonomy, high growth environment Work SetupBay Area preferred (hybrid allowed)Visa sponsorship availableWe’ll consider remote

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