ml engineer for marketing intelligence

Improvado is building a unified marketing intelligence platform for enterprises such as Spotify, Asus, and Colgate. Its Platform Team operates the core data pipeline infrastructure powering more than 500 integrations.

• Own the platform architecture by designing and evolving data extraction, load, and pipeline systems serving 500+ integrations at scale;
• Identify architectural bottlenecks and drive performance and reliability improvements at scale using Kubernetes, distributed systems, ClickHouse, and PostgreSQL;
• Lead the modernization of legacy systems (LES, DSAS, ULS) into scalable, AI-native infrastructure;
• Design and implement agentic development frameworks for codebase maintenance and continuous improvement, owning the full loop from AI-assisted development to automated acceptance and rollout with validation, testing, and architectural guardrails;
• Make and document key technical decisions and set standards for code quality, system reliability, and performance;
• Mentor and level up engineers on AI-assisted development practices;
• Collaborate cross-functionally with product and AI teams on agentic framework rollout and new integration capabilities.

• 7+ Years of hands-on backend engineering experience, including at least 2 years in a principal- or architect-level role owning production systems;
• Experience designing and scaling complex systems;
• Hands-on experience with AI-assisted development, Claude Code, and agentic coding, including building agentic frameworks for code maintenance and rollout;
• Strong distributed systems background with Kubernetes, workflow orchestration such as Temporal, and message queues such as RabbitMQ;
• Experience building secure, resilient systems;
• Experience with reliability practices at scale, including observability, alerting, and incident response;
• Solid SQL and query optimization across PostgreSQL and ClickHouse;
• Ability to work within the EST timezone;
• Fluency in English;
• Nice to have: Track record of defining engineering standards and driving adoption across a team, experience migrating legacy pipeline systems, background in data integration or ETL infrastructure.

• Remote-first environment;
• 20 PTO days plus US holidays;
• Stock options;
• Professional development reimbursement;
• Optional relocation assistance to Latin America after the trial period.