Location
Remote, North America and LATAM only, with reliable overlap with US business hours
Company
PushKeen is building Plurio, an AI agent for performance-marketing teams that automates media analysis and optimization across Google, Meta, and TikTok.
What you will do
•Own marketing attribution and measurement across first-touch, last-touch, multi-touch, custom-window, cross-channel, and LTV-driven models.
•Connect paid media, on-site behavior, CRM, and backend revenue into end-to-end funnel and unit-economics analysis.
•Analyze Meta and Google Ads performance, diagnose auction behavior and CPA changes, and guide budget reallocation and optimization decisions.
•Build AI-driven analytical skills, SQL queries, automations, and repeatable pipelines using Claude Code, Cursor, Codex, or equivalent tools.
•Create accessible dashboards and reporting using Power BI, Looker, Tableau-class tools, real-time anomaly detection, and 7–14-day evaluation windows.
•Partner with product, data, and engineering so attribution logic and analytical models improve the AI agent.
Requirements
•Excellent SQL, including complex query writing, data-model reasoning, debugging, and optimization of AI-generated queries.
•Proven experience in marketing analytics and marketing, including attribution, cross-channel or end-to-end analytics, Meta and Google Ads analysis, performance marketing, and web funnels.
•Hands-on experience with AI coding agents such as Claude Code, Cursor, Codex, or equivalent, including building skills and automations rather than only chatting with models.
•Systems-oriented approach focused on repeatable pipelines and automated analysis instead of manual one-off data pulls.
•Proficiency with version control for queries, skills, and analysis.
•Strong communication skills for translating data into actionable decisions for marketers and founders.
•Professional-level English and reliable overlap with US business hours.
•Current location in North America or LATAM.
Nice to have
•Python for analysis and data manipulation beyond SQL.
•Experience with dbt, BigQuery, Snowflake, or ETL and data-pipeline work.
•Hands-on experience with GA4, GTM, server-side tracking, consent, and production attribution issues.
•Experience with complex funnels and LTV-driven models in EdTech, FinTech, consumer apps, B2C SaaS, healthcare, or home services.
•Track record of independently owning projects from problem definition through results with minimal hand-holding.
•Public samples such as SQL, dashboards, an AI-agent skill, or a written analysis.
Culture & Benefits
•AI-first working environment with a shared Cursor workspace and premium team access to AI tools.
•Remote work from North America or LATAM with reliable US-hours overlap.
•Attribution models and analysis directly influence client outcomes and the AI product.
•Competitive compensation aligned with senior marketing-analytics experience; specific terms are discussed individually.
Hiring process
•Application with a CV and short answers; an initial response is targeted within 48 hours.
•People & Operations introduction call, followed by a technical interview covering SQL, attribution, cross-channel analytics, Meta and Google Ads, and AI-agent skill building.
•Final conversation, paid trial period with short real work, and offer alignment.
