Modash
11 - 50 employees
👥 B2C
☁️ SaaS
B2C • Marketing • SaaS
Modash is a comprehensive influencer marketing platform that provides tools for discovering, analyzing, and managing influencer relationships. The company offers a range of features including influencer discovery, analytics, campaign tracking, and management. With Modash, brands can find targeted influencers across platforms like Instagram, TikTok, and YouTube, evaluate their audience demographics and performance metrics, and manage influencer campaigns effectively. Modash also offers seamless integration with Shopify, enabling brands to track promo codes and manage payments easily. The platform aims to simplify influencer marketing for consumer brands, helping them build powerful, data-driven influencer campaigns.
Senior Product Data Engineer
🕒 May 15
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Modash
11 - 50 employees
👥 B2C
☁️ SaaS
B2C • Marketing • SaaS
Modash is a comprehensive influencer marketing platform that provides tools for discovering, analyzing, and managing influencer relationships. The company offers a range of features including influencer discovery, analytics, campaign tracking, and management. With Modash, brands can find targeted influencers across platforms like Instagram, TikTok, and YouTube, evaluate their audience demographics and performance metrics, and manage influencer campaigns effectively. Modash also offers seamless integration with Shopify, enabling brands to track promo codes and manage payments easily. The platform aims to simplify influencer marketing for consumer brands, helping them build powerful, data-driven influencer campaigns.
📋 Description
• Start your day with a short standup • Heads-down focus time to plan, build, iterate, and launch • Minimal meetings — maximum ownership • Creating an understanding of the creators location, age, and interests at scale • Creating systems to extract collaborations between creators and brands from raw social data • Shaping the future of AI-assisted search, exploring how LLMs and embeddings can enhance search and recommendations.
🎯 Requirements
• Strong knowledge of Spark (Scala, Databricks, or PySpark; PySpark preferred but not required) • Proven track record with ETL/ELT pipelines and large-scale data processing • Comfortable working with unstructured data • Experience with workflow orchestration tools like Airflow or AWS Step Functions • Familiarity with the AWS ecosystem (Glue, EMR, etc.) • You've shipped full features from idea to production: planning & scoping → architecture → implementation → release → iteration • Based in Europe with significant working-hours overlap with EET (Tallinn time) • Hands-on experience building agentic / LLM-powered features in production • Practical understanding of trade-offs between LLMs (cost, latency, capability)**** • ✅ Bonus points if you… • Have worked with AI/ML tools or LLMs • Are familiar with the GCP stack (especially Vertex AI) • Have worked with lakehouse formats like Apache Iceberg • Have used Pulumi or Terraform for IaC • Are familiar with Node.js and TypeScript • Understand AWS cost mechanics (how scale impacts spend) • Care deeply about code quality and system design • Are curious about the creator economy (we'll help you get up to speed)** • Not a fit if... • Your data engineering experience is primarily in analytics or BI (dashboards, internal reporting, warehouse modeling for analysts) • You haven't built and operated data products that ship as part of a customer-facing application • You're looking for a role focused on stakeholder reporting rather than building production data systems
🏖️ Benefits
• Fully remote — work from anywhere in Europe • Unlimited paid vacation 🌴 • Flexible hours — async-friendly culture**High ownership, low bureaucracy, no bullshit. • Personal development support — courses, books, or conferences on us • Regular offsites — connect with your team IRL
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