Principal AI Engineer – Platform Team

🔥 26 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🏗️ Platform Engineer

👻 Ghost score 11%

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Improvado

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

📣 Marketing

💼 Consulting

☁️ SaaS

💰 $22M Series A - Improvado on 2022-05

Marketing • Consulting • SaaS

Improvado is an AI-native SaaS platform that centralizes marketing and sales data, connecting 1,000+ sources to provide automated ETL/ELT/Reverse ETL, data transformation, and enterprise-grade data governance. Its conversational AI agent answers natural-language queries, builds dashboards on the fly, generates and runs experiments across ad platforms, and applies creative intelligence to analyze and generate ad variants. The platform targets marketing and analytics teams at enterprises and agencies, emphasizing no-code data pipelines, real-time insights, automated campaign validation, and compliance (SOC 2, GDPR, HIPAA support).

📋 Description

• Own platform architecture for data extraction, load, and pipeline systems serving 500+ integrations at scale • Identify architectural bottlenecks and drive performance and reliability improvements • Lead modernization of legacy systems into scalable, AI-native infrastructure • Design and implement agentic development frameworks for codebase maintenance and continuous improvement • Own the full loop from AI-assisted development to automated acceptance and rollout, with validation, testing, and architectural guardrails • Make and document key technical decisions • 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 • Write code, review architecture, and provide technical direction as a hands-on principal engineer

🎯 Requirements

• 7+ years of backend engineering (hands-on programming), with at least 2 years in a principal/architect-level role owning production systems • Designed and scaled complex systems, not just maintained them • Hands-on experience with AI-assisted development (Claude Code, agentic coding), including building agentic frameworks for code maintenance and rollout • Strong distributed systems background: Kubernetes, workflow orchestration (e.g. Temporal), message queues (e.g. RabbitMQ) • Experience building secure, resilient systems • Experience with reliability practices at scale: observability, alerting, incident response • Solid SQL and query optimization across PostgreSQL and ClickHouse • Comfortable with ambiguity and high-velocity, fast-shifting priorities • Ability to work within EST timezone • Fluency in English • Nice to have: track record of defining engineering standards and driving adoption across a team • Nice to have: experience migrating legacy pipeline systems • Nice to have: background in data integration or ETL infrastructure

🏖️ Benefits

• Remote-first environment • Direct impact on platform architecture — your decisions matter • Modern AI-native tech stack with real freedom to experiment • 20 PTO days + US holidays • Stock options • Professional development reimbursement • Optional relocation assistance to Latin America after trial period

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