Autodesk is seeking a Product Manager for its Fusion Data Platform, focused on driving data services and platform capabilities that enhance the design-to-make lifecycle. The ideal candidate will have experience in product management, particularly in data-centric products, and will work at the intersection of data infrastructure, APIs, and developer ecosystems
Job Summary
Our Product Managers are passionate about shaping the future of design and engineering, serving as the critical link between customer needs, business strategy, platform architecture, and execution.
In this role, you will focus on the Fusion Data Platform, driving the strategy and execution of data services that power the Design-to-Make lifecycle.
We take great pride in our culture here at Autodesk – it’s at the core of everything we do.
Matching Summary
Match Score: 85
Autodesk is seeking a Product Manager for its Fusion Data Platform, focused on driving data services and platform capabilities that enhance the design-to-make lifecycle. The ideal candidate will have experience in product management, particularly in data-centric products, and will work at the intersection of data infrastructure, APIs, and developer ecosystems.
Skills & Requirements
Must-have
Fusion Data Platform
data services strategy and execution
platform thinking and data fluency
API, data infrastructure, analytics
developer ecosystems
Design-to-Make lifecycle
Nice-to-have
transform data into strategic asset
voice of the customer
drive adoption and success
data-driven workflows and applications
meaningful work that helps build a better world
Key Requirements
3+ years of experience in Product Management
platform, SaaS, or data-centric products
Strong understanding of data platforms, APIs, and distributed systems
Background in Computer Science, Engineering, Data Science, or related field
Experience working with data services
Proven ability to work cross-functionally
Strong analytical and problem-solving skills
Excellent communication skills
Experience building or managing developer platforms or ecosystems
Familiarity with cloud data architectures
Exposure to real-time data systems, event-driven architectures, or AI/ML data pipelines
Understanding of data governance, privacy, and security best practices