{"id":1205738,"url":"https://alion.io/job/openart-growth-data-engineer","title":"Growth Data Engineer","company":{"id":176113,"name":"OpenArt","domain":"openart.ai","url":"https://alion.io/company/openart-2","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Carlos, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":300000,"max":350000,"currency":"USD","period":"year","gross":null,"usd_annual":350000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"Edge AI","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"SQL","optional":false},{"name":"A/B Testing","optional":true},{"name":"Adjust","optional":true},{"name":"AppsFlyer SDK","optional":true},{"name":"GCP","optional":true},{"name":"Metabase","optional":true},{"name":"Python","optional":true},{"name":"Stripe","optional":true}],"status":"live","first_seen_at":"2026-09-24T21:24:15Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-27T01:21:16Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Growth Data Engineer\nAbout OpenArt\nOpenArt 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 isAI-native, and we’re shaping that future.\nWhy Join OpenArt\nOwn the measurement and attribution layer of a fast-scaling AI company.\n\nDirect impact on growth - your work drives acquisition efficiency and revenue.\n\nWork across product, marketing, and data - highly cross-functional role.\n\nBuild from 0 → 1 - define how we track, attribute, and optimize growth.\n\nHigh ownership, low process, fast iteration environment.\n\n7-10X revenue growth over the past 2 years - now scaling growth infrastructure.\n\nAbout the Role\nWe’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. \nThis 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. \nYou will be responsible for ensuring that every marketing dollar is measurable, attributable, and optimizable - from first touch to revenue.\n What You’ll Do\nBuild and maintain marketing attribution systems (UTM tracking, userjourney, conversion mapping)\n\nImplement and manage 1st-party data pass back to ad platforms (e.g.,conversions, revenue, LTV signals)\n\nConfigure and maintain tracking infrastructure: \nGTM (client + server-side)\n\nGoogle Ads (Enhanced Conversions)\n\nMeta Pixel + Conversions API\n\nLinkedIn, TikTok, and other ad platforms\n\nSet up and maintain conversion events and schemas across platforms\n\nEnsure consistent event definitions and naming across product, CRM, and ad platforms\n\nBuild and manage audience sync pipelines\n\nIntegrate CRM and warehouse data into ad platforms for optimization (offline conversions, lead stages, revenue)\n\nOperationalize new marketing experiments (UTMs, tracking parameters, campaign setup)\n\nDebug and resolve tracking and attribution discrepancies across systems(e.g., Ads vs CRM vs warehouse)\n\nBuild and validate marketing and pipeline dashboards, ensuring data accuracy and consistency\n\nImplement privacy-safe tracking practices (Consent Mode, CMP integrations)\n\nPartner closely with growth, product, and data teams to ensure measurementsupports decision-making\n\nWhat We’re Looking For\n Core Requirements\n3-5 years of experience in growth data, marketing data engineering, oranalytics engineering\n\nStrong hands-on experience with:\nGTM, pixels, conversion APIs\n\nAd platforms (Google Ads, Meta, etc.)\n\nExperience implementing conversion tracking and attribution systems\n\nExperience sending offline conversions / LTV signals back to ad platforms\n\nFamiliarity with data pipelines and warehouse concepts (BigQuery, SQL,ETL/ELT)\n\nStrong SQL skills; comfortable working with data directly\n\nStrong debugging skills - able to systematically investigate and resolve datadiscrepancies\n\nComfortable working cross-functionally with marketing, product, and datateams\n\nHigh ownership, fast execution, and strong attention to detail\n Nice to Have\n\nExperience supporting performance marketing teams\n\nFamiliarity with: \nAttribution models (last-click, MTA, probabilistic vs deterministic)\n\nPrivacy frameworks (SKAN, ATT, Privacy Sandbox)\n\nExperience with mobile attribution tools (AppsFlyer, Adjust, Branch)\n\nExperience with experimentation and A/B testing frameworks\n\nExperience in consumer product, marketplaces, or e-commerce\n\nBasic Python or scripting for automation\n\nTech Stack You’ll Work With\nGTM, Google Ads, Meta Ads, TikTok Ads, BigQuery, Metabase, Amplitude, Stripe,SQL, GCP\n\nCompensation\nCompetitive base salary and bonus program\n\nEquity - meaningful ownership in what you build\n\nHigh autonomy, high growth environment\n\n Work Setup\nBay Area required (hybrid allowed)\n\nVisa sponsorship available","description_format":"text","description_chars":4088,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","LLM & Generative AI","Generative Image"],"lifecycle":[{"event":"open","at":"2026-09-24T23:45:27Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":43,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-09-26T05:45:00Z"},"pay":{"stated_usd_annual":350000,"is_top_pay":true},"html_url":"https://alion.io/job/openart-growth-data-engineer","json_url":"https://alion.io/job/openart-growth-data-engineer.json","meta":{"generated_at":"2026-09-27T02:28:44Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2213,"day_limit":5000,"remaining_today":2787,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}