Jobs at Rempli

Design end-to-end AI architectures across cloud environments, translating business needs into scalable solutions. Define integrations, data flows, and model usage; guide implementation teams on best practices; and communicate complex AI systems to stakeholders. The role requires cloud-based AI/ML architecture experience, knowledge of APIs, microservices, data pipelines, LLM integrations, AI workflows, and enterprise system design.

Own and optimize paid acquisition across Google Ads and Meta Ads for a high-SKU, multi-brand DTC ecommerce business. Manage Search, Shopping, Performance Max, prospecting, and retargeting campaigns; optimize ROAS, CAC, budgets, pacing, and conversions across the full ecommerce funnel. Maintain Google Merchant Center product feeds, analyze performance through GA4 and ecommerce data, and independently manage significant advertising budgets.

Design, develop, deploy, and optimize machine learning models and AI solutions using large datasets. Collaborate with data scientists, engineers, and product teams to integrate AI into products, monitor model performance, and improve scalability. Document technical solutions, guide stakeholders, and stay current with AI and machine learning research, tools, and frameworks.

Design and manage cloud infrastructure, build CI/CD pipelines, monitor system performance and reliability, automate infrastructure with infrastructure-as-code tools, and support production systems through troubleshooting. The role requires cloud platform expertise, containerization and orchestration experience, automation knowledge, and a strong focus on debugging, uptime, scalability, and dependable deployments.

Develop and manage full-funnel paid media campaigns across search, social, and display. Test creatives, audiences, placements, and bidding strategies; analyze performance metrics; optimize campaigns in real time; plan media budgets and forecasts; allocate spend across channels; and collaborate with analytics, creative, and marketing teams to drive growth.

Monitor, detect, and respond to security threats; implement security controls across infrastructure and systems; conduct vulnerability assessments and penetration testing; secure cloud environments and applications; and collaborate with engineering teams to embed security best practices.

Build and maintain scalable data pipelines and architectures for AI and machine learning use cases. Prepare structured and unstructured datasets for training, fine-tuning, and inference while ensuring data quality, reliability, and governance. Collaborate with ML and AI teams to support data requirements and solve complex system-design challenges using technologies such as Airflow, dbt, Spark, data warehouses, and streaming platforms.

Design digital ads, landing pages, social content, and brand assets that support engagement and conversion goals. Collaborate with marketing, content, and performance teams, maintain brand consistency, iterate based on feedback and performance data, and contribute to campaign visual direction, branding, and storytelling.

Define the vision and roadmap for AI-driven products, translate user needs into requirements, collaborate with engineering and design, prioritize features using impact and feasibility, and measure performance to guide iteration. The role requires product management experience with AI/ML or data-driven products, strong product strategy and user experience understanding, cross-functional communication, and familiarity with AI/LLM features, Agile development, user research, and experimentation.