Connectly.ai · 1 month ago
Platform Product Manager (EU)
Europe
Full-time
Hybrid
Senior Level
5+ years expConnectly is a VC-backed Series B startup focused on conversational commerce in Latin America. They are seeking a Platform Product Manager to define and scale their AI platform infrastructure, collaborating with engineering teams to optimize and integrate various systems for AI commerce.
Artificial Intelligence (AI)Information TechnologyMachine LearningMessaging
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
Qualification
Required
5+ years of product management experience, with at least 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), and 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, and ideally based in or able to collaborate closely with teams in Brazil and San Francisco
Preferred
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
Benefits
Be part of a mission-driven team redefining commerce through AI.
Competitive compensation and equity participation.
Unlimited time off and flexible working hours.
Hybrid work culture with teams in Brazil, Bogotá, and San Francisco.
Company
Connectly.ai
Connectly is a conversational commerce company that uses artificial intelligence models to help retailers grow their business.
51-200 employees
H1B Sponsorship
Connectly.ai has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (3)
2021 (1)
Funding
Current Stage
Growth StageTotal Funding
$37.25MKey Investors
Alibaba GroupVolpe CapitalUnusual Ventures
2024-09-11Series B· $20M
2023-09-21Series A· $7.85M
2023-03-30Seed· $2.5M
Leadership Team
Stefanos Loukakos
Co-founder & CEO
Yandong Liu
Co-founder and CTO
Recent News
Marathon Venture Capital
2025-11-12
2025-01-29
Company data provided by crunchbase