Product Manager (Data Ingestion & Delivery)

Job Requisition ID #

26WD101185

Position Overview

Autodesk is hiring a Product Manager to join the Analytics Data organization.

The Analytics Data organization builds and runs the data and AI platform Autodesk teams use to capture, produce, and deliver analytics at scale. It powers analytics and AI for nearly every part of Autodesk.

This role owns how data moves into and out of the platform. Inbound pipelines bring data from products and other sources. Outbound interfaces deliver it to applications, dashboards, and AI experiences.

Our direction is self-serve and automated. Teams connect a new source or consumer in minutes through consistent, versioned APIs. We deliver in real time and in batch, and we are opening the platform to agents that act on data on a user's behalf.

As a Product Manager, you will partner with a distributed engineering team to deliver this work, balancing the needs of data producers and consumers with the company's needs for cost, freshness, and reliability.

• Own the vision and roadmap for how data moves into and out of the platform
• Own reliability and freshness as measurable commitments, setting clear targets and reporting against them across coverage, time to onboard, and cost
• Give users clear visibility into the data they send and use, where it comes from, and what it costs
• Work directly with producers, consumers, and engineering to find what slows them down, turn it into clear requirements, and drive delivery
• Manage the full lifecycle, from new connectors and delivery patterns through migrations to retirement, keeping the platform current as sources, formats, and engines change
• Build in privacy, security, and compliance from the start
• Track streaming and big data trends, and run vendor assessments when buying beats building
• Be the go-to expert and advocate for ingestion and delivery, keeping documentation current and supporting everyone who builds on it

• 3+ years in product management
• Experience with data integration or platform products at scale
• A strong cross-functional collaborator and clear communicator who drives initiatives and adoption
• Empathetic to technical users, using research into their daily problems to decide what to build
• Able to prioritize across many competing producers, consumers, and workloads
• Data-driven, connecting platform decisions to measurable business outcomes
• Experience performing technical migrations

• Experience with data pipelines and the tooling behind them (such as Kafka, Flink, Airflow, etc.)
• Experience with data delivery, including APIs, event-driven delivery, reverse ETL, and SDKs for event collection
• Experience with schema management and data contracts, and a point of view on the tools and technologies worth adopting
• Experience with second- and third-party data integrations (such as Salesforce, Segment, etc.)
• Experience supporting analytics built on governed data, including consent, privacy, and regional data-residency requirements