Osmos
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About
Osmos is an omnichannel retail and commerce media operating system designed to help retailers, marketplaces, and e-commerce companies build and scale their own bespoke advertising platforms. Unlike traditional demand-side platforms that focus solely on buying media, Osmos is a retailer-centric solution that provides the infrastructure to manage ad serving, yield optimization, and campaign automation across multiple touchpoints. By integrating directly with a retailer's existing technology stack, the platform enables the monetization of first-party shopper data through onsite, offsite, email, and in-store digital advertisements. The system operates through three strategic pillars—Adscape, ControlHub, and StratEdge—providing a modular app ecosystem for campaign management, omnichannel activation, and real-time bidding. AI-powered features facilitate budget tracking, metric estimation, and automated budget recommendations, helping users optimize their return on ad spend. The platform is built for high-scale environments, capable of processing billions of ad auctions and shopper events monthly with low latency, ensuring reliability for enterprise-level operations. This solution is ideal for e-commerce marketplaces, omnichannel grocery or pharmacy retailers, and specialty retailers looking to establish a retail media network without building it from scratch in-house. It caters to both the retailer’s internal operations and the needs of third-party advertisers who require intuitive planning and measurement tools. Because the platform supports a wide range of ad formats—including sponsored products, display banners, and gamified ads—it serves as a comprehensive hub for diverse marketing strategies across the shopper journey. What distinguishes Osmos from competitors is its focus on modularity, meaning it connects to existing DSPs, commerce platforms, and data tools via open APIs rather than requiring a complete system overhaul. It offers a faster time-to-value, often getting networks live within four weeks. The platform emphasizes retailer ownership, allowing businesses to maintain full control over their data and tech stack rather than renting inventory on external networks. This balance of speed, modularity, and data sovereignty makes it a specialized choice for growth-focused retail entities.
Pros & Cons
Rapid deployment allows retailers to launch a media stack in as little as four weeks.
Directly integrates with existing tech stacks through open APIs and modular connectors.
Supports a diverse range of ad formats including product, display, email, and in-store ads.
Maintains high performance with low latency while processing billions of monthly events.
Compliant with global data privacy standards including GDPR, CCPA, SOC 2, and ISO.
Pricing is not transparent and requires contacting a sales team for a custom quote.
Implementation of a full custom setup can take up to four weeks for complex needs.
Focused primarily on retail-centric businesses, making it less suitable for other niches.
Use Cases
E-commerce marketplace managers can implement self-serve tools for sellers to manage and optimize their own product ad campaigns.
Omnichannel grocery retailers can monetize first-party data by delivering targeted ads across onsite platforms and physical in-store digital displays.
Marketing teams at OTT platforms can automate campaign reporting and budget tracking to improve return on ad spend for brand partners.
Specialty retailers can expand their advertising reach by integrating with offsite channels like TikTok and Meta through modular adapters.
Platform
Task
Features
• first party targeting
• omnichannel activation
• ai-powered yield optimization
• automated budget recommendations
• cookie-less identity solutions
• real-time ad auctions
• full funnel reporting
• self-serve campaign management
FAQs
What is the main difference between Osmos and a traditional DSP?
Osmos is retailer-centric, allowing businesses to own their stack and monetize first-party data rather than just buying ad inventory on external networks. It provides the infrastructure to manage ad serving and yield optimization across onsite and offsite channels.
How long does it take to get a retail media platform live with Osmos?
Typical implementation timelines range from a few weeks for turnkey solutions to approximately four weeks for full custom setups. This speed is achieved because the platform integrates with existing systems rather than requiring a rip-and-replace approach.
Does Osmos support cookie-less environments?
The platform provides cookie-less identity options and privacy-aware targeting to align with modern data protection standards. This ensures that retailers can continue to deliver personalized experiences while maintaining compliance with global regulations.
Can I use Osmos with my current e-commerce platform?
Osmos is designed to work on top of your existing stack via APIs and modular connectors, so no system replacement is required. It integrates with custom commerce platforms, data layers, and third-party tools seamlessly.
What kind of reporting is available for advertisers?
Advertisers have access to full-funnel reporting and closed-loop attribution, tracking performance from the initial impression to the final conversion. This transparency helps brands understand their true return on ad spend and revenue uplift.
Pricing Plans
Enterprise
Unknown Price• Full Funnel Reporting
• Self-Serve Campaigns
• Omnichannel Activation
• Yield Optimization
• First Party Targeting
• AI Metric Estimates
• Real-time Ad Auctions
• Cookie-less Targeting
• API Access
• Support Services
Job Opportunities
Director, Sales - AMEU (Remote)
Monetize first-party data and scale retail media networks in weeks with an AI-powered operating system designed for omnichannel retailers and marketplaces.
Benefits:
Startup Energy, Enterprise Scale: Fast-paced innovation with global ambition
Revolutionize Retail Marketing: Be at the forefront of AI-powered solutions
Meaningful Contribution: Directly impacts major brands' success
No Red Tape: Autonomy and empowerment to drive results
Growth & Fun: Continuous learning in a vibrant, collaborative culture
Experience Requirements:
4–7 years of experience in sales leadership roles within SaaS, retail media, or digital advertising
Other Requirements:
A hunter mindset and a hands-on approach
Exposure to retail media or enterprise SaaS sales
Excellent communication, negotiation, and presentation skills
Experience collaborating with cross-geo teams and stakeholders
Analytical and data-driven
Responsibilities:
Develop and execute sales strategies to achieve revenue goals and expand market presence
Proactively identify and secure new opportunities with a hunter mindset
Build, nurture, and manage strong relationships with key clients and partners
Work closely with global and local teams across product, marketing, and customer success
Share insights on industry trends, customer needs, and competitive activity
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DevOps Engineer
Monetize first-party data and scale retail media networks in weeks with an AI-powered operating system designed for omnichannel retailers and marketplaces.
Benefits:
Startup Energy, Enterprise Scale: Fast-paced innovation with global ambition
Revolutionize Retail Marketing: Be at the forefront of AI-powered solutions
Meaningful Contribution: Directly impacts major brands' success
No Red Tape: Autonomy and empowerment to drive results
Growth & Fun: Continuous learning in a vibrant, collaborative culture
Experience Requirements:
3–7 years of experience managing large-scale, high-availability systems in production
Other Requirements:
Strong expertise in Kubernetes administration
Hands-on experience with IaC tools like Terraform or CloudFormation
Proficiency in designing and maintaining CI/CD pipelines
Solid knowledge of cloud platforms (AWS, GCP, or Azure)
Proficient in Linux administration, scripting (Bash, Python), and debugging
Responsibilities:
Deploy, manage, and scale Kubernetes clusters for high throughput and low latency
Implement and maintain Infrastructure as Code (IaC)
Build and optimize CI/CD pipelines to enable seamless, zero-downtime deployments
Ensure high availability (99.99%) for mission-critical, high QPS applications
Support and maintain multi-region deployments to achieve geo-redundant infrastructure
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QA Lead
Monetize first-party data and scale retail media networks in weeks with an AI-powered operating system designed for omnichannel retailers and marketplaces.
Benefits:
Startup Energy, Enterprise Scale: Fast-paced innovation with global ambition
Revolutionize Retail Marketing: Be at the forefront of AI-powered solutions
Meaningful Contribution: Directly impacts major brands' success
No Red Tape: Autonomy and empowerment to drive results
Growth & Fun: Continuous learning in a vibrant, collaborative culture
Experience Requirements:
5-8 years of experience in Quality Assurance
At least 2 years in a lead/managerial role
Other Requirements:
Strong expertise in test automation frameworks (e.g., Selenium, Cypress, JUnit, PyTest)
Hands-on experience with API testing tools (e.g., Postman, RestAssured)
Strong knowledge of microservices testing, performance testing, and security testing
Familiarity with monitoring/logging tools like Prometheus, Kibana, Nagios
Responsibilities:
Build a team of QA engineers and provide technical guidance
Define and drive the QA strategy, roadmap, and best practices
Collaborate with Product Managers and Developers to align quality processes
Establish and maintain test plans, test cases, and test automation frameworks
Drive automation for regression, performance, and integration testing
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