Principal Product Manager; Customer Data Platform

About Altana

Altana is the network for trusted trade, empowering a new era of global commerce by uniting businesses and governments on an AI-powered platform to build a more resilient and secure global supply chain. Enterprises like Boston Scientific, General Atomics, and L.L.Bean use Altana to map and manage their multi-tier value chains. Logistics leaders like UPS and Maersk use Altana to help customers reduce risk and prevent delays.

And governments across the U.S. and its allies use Altana to prevent supply chain disruptions and protect national security.

We are a team of ambitious, mission-driven engineers, data scientists, and domain experts. If you are passionate about solving complex, real-world problems with global impact, we want you to join us.

As the Principal Product Manager for Customer Data Platform, you will be the owner defining strategy/product vision through feature definition and roadmap prioritization. You’ll work closely with marketing and finance teams for positioning, naming, GTM/adoption, and financial metrics. We are looking for an experienced product leader who is passionate about deeply understanding ambiguous customer problems, with demonstrated success working with engineering to deliver solutions, and translating them into disruptive, successful products that delight customers.

As a Principal Product Manager with a focus on Customer Data Platform, you are defining the link between our customers' core enterprise systems and the Altana product network.

Your mission is to accelerate our customers' time-to-value
. You will deeply understand customer IT, data, and security needs to architect and build robust, scalable data integrations that solve their most pressing supply chain challenges. For many customers, their supply chain data is trapped in silos—messy ERP records, fragmented PLM files, or disparate spreadsheets. Your mission is to lower the barrier to entry for everyone. You will build the "pipes" and the "intelligence" that allow any organization—from a small specialized manufacturer to a global logistics giant—to onboard their data to Altana and see immediate value.

You will own the end-to-end data journey: from the moment a user hits "Connect" or "Upload," through the complex machinery of entity resolution, to the creation of a clean, unified view of their supply chain, collaborating with their suppliers, logistics providers, and regulatory agencies.

• The Integration Strategy:
  Define and execute the roadmap for getting data into Altana. You will own the suite of ingestion methods: high-volume REST APIs for tech-forward clients, native connectors for major ERPs (SAP, Oracle, Microsoft Dynamics), and simple, robust flat-file importers for smaller suppliers.
• Partner Ecosystem:
  Identify the most critical systems our customers use and lead the development of "One-Click" integrations that remove the need for custom engineering work.
• Streaming & Real-Time:
  Move us beyond static snapshots. Architect pipelines that support continuous data synchronization, ensuring the customer’s view of their supply chain is always current.

• Self-Service Mapping:
  Build intuitive, low-code tools that allow non-technical users to map their internal data fields (e.g., "") to Altana’s canonical schema. Make the onboarding process "wizard-driven" rather than service-driven.
• Automated Entity Resolution:
  Work with our AI teams to productize our matching logic. When a customer uploads a messy supplier list, your product should automatically clean, standardize, and resolve those rows against global entities.
• Data Quality Feedback:
  Create a transparent feedback loop. If a customer uploads bad data (broken formatting, missing fields), the system should instantly tell them what went wrong and how to fix it, without needing a support ticket.

• Tiered
  
  Experience:
  
  Design an experience that works for the "long tail." A small supplier should be able to onboard in minutes via self-service, while a large enterprise needs robust controls for massive data…