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Added 11 mins ago
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Autodesk

Senior Product Manager, Data Platform

Toronto, ON, Canada
AMER - Canada - Ontario - Toronto - University Ave, Canada

For Canada based roles, we expect a starting base salary between $122,000 and $179,300. · Full-time

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Job details

Pay: For Canada based roles, we expect a starting base salary between $122,000 and $179,300.
Job type: Full-time
Posting language: English
Posted: Oct 9, 2026

Original job description

Job Requisition ID #

26WD100898

Position Overview

Autodesk is hiring a Product Manager to join the Analytics Data Platform team. 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 product health analytics across the portfolio, personalized insights inside AutoCAD, Revit, and Fusion, generative AI features, Autodesk Profile, and the Autodesk Assistant. The Analytics Data Platform team owns the infrastructure the platform runs on. This is where data lives, where compute processes it, and where work moves from one step to the next. It determines whether a team ships in a day or a quarter, and it drives the platform's cost, performance, and reliability. Our direction is self-serve and automated. Teams provision what they need in minutes, we modernize the engines and storage formats underneath, and we are opening the platform to agents that can provision, query, and optimize on a user's behalf. To get there, we are making the infrastructure work like one product, not a set of separate systems each team has to learn. As a Product Manager on the team, you will partner with a distributed engineering team to deliver this work, balancing the needs of platform users, including data engineers, scientists, analysts, and ML and BI teams, with the company's needs for cost, compliance, and reliability. We are looking for a hands-on, technically fluent product manager who leads through influence, enjoys making complex infrastructure simple to use, and knows that Autodesk's analytics and AI depend on getting this infrastructure right.

Responsibilities

Own the vision and roadmap for the platform's storage, compute, and the systems that connect analytics platform workflows
Define a unified, self-serve experience for getting storage, compute, and access on demand
Set the reliability bar for the platform and hold it there, so teams can run business-critical analytics and AI workloads with confidence
Give teams clear visibility into what they use, what it costs, and how to improve performance
Partner with a distributed engineering team, and talk to users directly to find what slows them down and add the fixes to the roadmap
Lead technical discussions, write clear product requirements, and run quarterly planning and prioritization
Manage the full lifecycle, from new capabilities through migrations to retirement, keeping the platform current as engines, formats, and cloud services change
Build in security and compliance from the start, including least-privilege, project-scoped access, and environment isolation
Track big data and AI infrastructure trends, and run vendor assessments when buying beats building
Measure and report the platform's impact, including time to provision, reliability, performance, adoption, and cost
Be the go-to expert and advocate for the platform, keeping documentation current and supporting the teams that build on it

Minimum Qualifications

4+ years in product management, including infrastructure or platform products at scale such as data platforms, cloud infrastructure, or developer tooling
Proven ability to align cross-functional and globally distributed teams without formal authority
Skilled at working with stakeholders, communicating early, anticipating needs, and building agreement with peers and senior leadership
Strong empathy for technical users, turning the daily problems of engineers, scientists, and analysts into product decisions
Able to connect platform decisions to business outcomes and to clear targets for cost, performance, and reliability
Able to prioritize across many competing teams and workloads
Technical depth to discuss storage, compute, query engines, and orchestration credibly with senior engineers, and to weigh the trade-offs of scale, performance, and cost
A clear communicator who drives adoption across internal teams
Fluency in product discovery, using research and data to learn what is worth building, whether it will work, and whether teams will use it
A track record of leading delivery end to end, including migrations where users actually move and the old path is retired
A data-driven approach, measuring how the platform is used and making decisions from that data

Preferred Qualifications

Experience with big data compute and query engines (such as Spark, Trino, or Athena) and container orchestration (Kubernetes or EKS)
Experience with lakehouse storage and open table formats (such as Iceberg) and warehouses (such as Snowflake)
Experience with orchestration and DataOps or MLOps tooling (such as Airflow, Temporal, or Metaflow)
Experience with access management for big data (project-scoped or role-based models, such as Ranger or Lake Formation)
Experience with platform observability and cost and performance management
Experience with the analytics surfaces that sit on top, such as Looker, notebooks, or query workbenches
Experience leading an infrastructure or platform migration at scale, including multi-region or data-residency requirements
Experience making build-versus-buy decisions and running vendor assessments

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $122,000 and $179,300. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

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More about this job

Responsibilities

You will own the vision and roadmap for the analytics data platform, focusing on storage, compute, and self-serve infrastructure. You will partner with distributed engineering teams to deliver reliable, cost-effective, and scalable data solutions for internal users.

Requirements

Candidates must have 4+ years of product management experience in infrastructure or platform products at scale. Strong technical depth in data systems and the ability to lead cross-functional teams without formal authority are essential.

Skills

Product management
Data platform
Cloud infrastructure
Big data
AI infrastructure
Cross-functional leadership
Stakeholder management
Data engineering
Platform observability
Cost management
Reliability engineering
Vendor assessment
Kubernetes
Spark
DataOps

Benefits

Annual cash bonuses
Stock grants

Visa sponsorship

Not detected in the job text

Keywords

Product Manager
Data Platform
Analytics
AI
Infrastructure
Cloud
Spark
Trino
Athena
Kubernetes
EKS
Iceberg
Snowflake
Airflow
Temporal
Metaflow
Ranger
Lake Formation
Looker
DataOps
MLOps
Scalability
Reliability
Compliance
Product Discovery
Roadmap
Stakeholder Management
Technical Leadership
Big Data
Observability

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