Navigating Platform Product Teams in Big Enterprises
Demystifying the Maze: A Look at Big Enterprise Platform Product Teams
I began my product management career with a B2C product, and stepping into my first role as a Platform Product Manager was both exciting and confusing. Suddenly, I found myself immersed in a world of new teams and objectives that were previously unfamiliar to me. It took time to grasp the significance of each platform product and how they contribute to the robust foundation for accelerating the development of customer-facing products. In this article, we'll explore the common platform teams you’ll find in large enterprises. To provide a concrete understanding of how these teams operate, we’ll use AWS as our example throughout.
Understanding Platform Product Teams
In large enterprises, platform product teams are the backbone that supports various business and consumer-facing products. They provide the essential services and infrastructure that enable different parts of the organization to build and deploy applications efficiently. Let’s dive into some of the key platform product teams you’ll likely encounter.
1. Identity Platform Team
Objective
The Identity Platform Team aims to ensure secure and seamless user access across the organization's products and services.
What They Do
User Authentication and Authorization: Implementing and managing user login systems, such as single sign-on (SSO) and multi-factor authentication (MFA).
Identity Management: Handling user identities, roles, and permissions.
Compliance and Security: Ensuring that identity protocols comply with regulatory standards and best practices.
Example Capability
Think of AWS Identity and Access Management (IAM). This service allows AWS users to securely control access to AWS services and resources. By managing permissions and user roles, IAM ensures that the right users have the right access at the right time, thereby enhancing security and compliance.
2. Commerce Platform Team
Objective
The Commerce Platform Team is responsible for creating and managing the infrastructure for transactions, billing, and payments.
What They Do
Payment Processing: Ensuring secure and efficient handling of financial transactions.
Billing Systems: Managing subscription billing, invoicing, and financial reporting.
Backend Capabilities: They develop systems that facilitate users to access and utilize various product offerings.
Example Capability
An excellent illustration of this team's capability is the backend infrastructure of AWS. This team constructs the backend capability that enables users to discover, purchase services in the AWS Cloud. They ensure that transactions are executed smoothly and securely, and that the billing is precise and punctual. Users can then access invoice/billing information in their account based on their region.
3. Business Platform Team
Objective
The Business Platform Team focuses on providing tools and services that support business operations, such as customer relationship management (CRM), enterprise resource planning (ERP), and business intelligence (BI).
What They Do
CRM Systems: Developing and maintaining systems that manage customer interactions and data.
ERP Solutions: Integrating core business processes like finance, HR, and supply chain management.
BI Tools: Providing analytics and reporting tools to help businesses make data-driven decisions.
Example Capability
Amazon connect is good example. It is cloud based service, and support businesses in handling customer interactions through various channels like phone calls, chats, and even tasks.
4. Developer Platform Team
Objective
The Developer Platform Team aims to enhance developer productivity by providing robust tools and environments. These could be focused on internal as well as external developers.
What They Do
Development Frameworks: Offering libraries and frameworks to speed up development.
CI/CD Pipelines: Automating the build, test, and deployment processes.
IDEs and Tools: Providing integrated development environments and other tools to streamline coding.
Example Capability
AWS CodePipeline is a service that automates the build, test, and deploy phases of your release process. By streamlining these stages, it allows developers to release code faster and more reliably.
5. Data Platform Team
Objective
The Data Platform Team is dedicated to managing the organization's data infrastructure, ensuring efficient data storage, processing, and retrieval.
What They Do
Database Management: Handling various database technologies and ensuring their optimal performance.
Data Lakes and Warehouses: Managing large-scale data storage solutions for structured and unstructured data.
Data Processing: Ensuring efficient data processing pipelines and ETL (Extract, Transform, Load) processes.
Example Capability
Amazon Redshift, a fully managed data warehouse service, exemplifies the capabilities built by the Data Platform Team. It allows companies to run complex queries on large datasets and get results in seconds, making data analysis swift and effective.
6. Security Platform Team
Objective
The Security Platform Team ensures that all services and data are protected against threats, maintaining the security and integrity of the organization's infrastructure.
What They Do
Threat Detection: Implementing systems to detect and respond to security threats.
Compliance Management: Ensuring all systems comply with relevant security standards and regulations.
Data Protection: Implementing encryption, access controls, and other data protection measures.
Example Capability
AWS Shield is a managed DDoS protection service that safeguards applications running on AWS. The Security Platform Team would be responsible for developing and maintaining such robust security measures to protect enterprise assets.
7. Analytics Platform Team
Objective
The Analytics Platform Team provides tools and services for data analysis, helping the organization derive insights from their data.
What They Do
Data Visualization: Creating dashboards and visualization tools to present data insights.
Advanced Analytics: Implementing machine learning and AI to derive predictive insights.
Reporting Tools: Developing tools that allow users to generate detailed reports from data.
Example Capability
Amazon QuickSight is an example of a service managed by the Analytics Platform Team. It allows users to create and share interactive dashboards, making it easier to derive insights from complex data sets.
8. Data Science Platform Team
Objective
The Data Science Platform Team provides the infrastructure and tools needed for data scientists to build, train, and deploy machine learning models.
What They Do
ML Infrastructure: Offering scalable infrastructure for machine learning model development and deployment.
Data Pipelines: Ensuring efficient data flow and preprocessing for machine learning models.
Collaboration Tools: Providing tools that enable data scientists to collaborate effectively.
Example Capability
Amazon SageMaker is a fully managed service that provides every data scientist and developer with the ability to build, train, and deploy machine learning models quickly. The Data Science Platform Team would ensure this service operates efficiently and meets the needs of its users.
Building Capabilities and Driving Functionality
Each of these platform teams contributes to the overall functionality and capability of the enterprise's ecosystem. Let’s look at how they collaborate and integrate:
Seamless Integration for Better User Experience
Imagine you're using AWS IAM for identity management, AWS Marketplace for transactions, and AWS Shield for security. These platform teams ensure that all these services work together seamlessly, providing a secure and efficient experience for the end-users. For instance, a user can log in securely through IAM, purchase a service on AWS Marketplace, and trust that their transactions are protected by AWS Shield.
Driving Efficiency and Innovation
By building robust platforms, these teams enable other parts of the enterprise to focus on innovation rather than reinventing the wheel. Developers can use the tools provided by the Developer Platform Team to deploy new features quickly. Business teams can use insights from the Business Platform Team to make strategic decisions. This division of labor ensures that each team can specialize and excel in their domain, driving overall efficiency and innovation.
Final Thoughts
Understanding the different platform product teams and their roles is crucial for any aspiring product manager in a big enterprise. These teams build the foundational capabilities that allow businesses to scale, innovate, and deliver value to their customers. By understanding how each platform team contribute towards overall goal, you'll be well-equipped to lead your teams to success.
Key to success in Platform Product Management is understanding different capabilities, how they come together to allow innovation at speed and build products which solve customer problems. Stay curious and enjoy world of Platform PM.
Let us know in comments, which other platform product teams you observed in your organisations?