Platform Product Manager - AI Platform (EU)
C
Connectly IncConversational Commerce, AI
Remote/EuropeFull-TimeMiddle
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 5+ years of product management experience, with at least 2 years focused on platform, infrastructure, or AI systems.
- Required Skills
- AWSPythonSQLGCPSAPShopify
Requirements
- 5+ years of product management experience
- 2+ years focused on platform, infrastructure, or AI systems
- Technical background in Computer Science, Engineering, or equivalent experience
- Deep familiarity with APIs, data pipelines, cloud systems (AWS, GCP)
- Deep familiarity with enterprise integrations (CRM, eCommerce, messaging)
- Comfort working with data tools such as SQL, Python, or BI frameworks for decision-making
- Excellent communication and collaboration skills, especially across distributed engineering teams
- Fluent in English
- Strong technical fluency and ability to translate complex system design concepts into actionable product requirements
- Proven ability to work closely with engineering teams on backend, infrastructure, and data challenges
- Deep understanding of AI system performance, including latency, throughput, caching, and model evaluation
- Familiarity with cloud-native systems, data pipelines, and enterprise integration patterns
- Experience defining metrics frameworks, observability systems, and testing infrastructure for large-scale AI or SaaS platforms
- Passion for enabling others through tools, frameworks, and platforms rather than one-off solutions
- Hands-on curiosity about the evolving LLM ecosystem, including emerging approaches to orchestration, monitoring, and evaluation
Responsibilities
- Define and drive the AI platform roadmap, focusing on scalability, reliability, and developer efficiency
- Collaborate with the Platform Engineering Lead and technical leads in Brazil and San Francisco to scope, prioritize, and deliver platform infrastructure that supports rapid AI agent iteration
- Design observability and analytics capabilities — instrumentation, dashboards, and metrics frameworks to track agent performance, latency, and uptime across thousands of deployments
- Develop configuration and testing systems that enable engineers to safely experiment with prompts, flows, and integrations without affecting production traffic
- Optimize LLM performance and cost-efficiency, working with engineering to measure and reduce latency, improve caching, and streamline model evaluation and fallback mechanisms
- Own integration strategy with Meta APIs, customer CRM systems, and eCommerce platforms such as Shopify, VTEX, and SAP, ensuring reliable data flow and event synchronization
- Partner with infrastructure and data teams to build scalable pipelines for analytics, monitoring, and experimentation across the AI platform
- Codify best practices into platform features and tooling, enabling all Connectly teams to build customer-facing AI experiences faster and more reliably
- Drive security, privacy, and compliance standards for all platform components and integrations
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