Senior Product Manager, Data Platform

Autodesk, Inc; Toronto; Vor Ort; CAD 122.000 - 179.000; Vollzeit

Zusammenfassung

Autodesk, Inc. is seeking a Product Manager for the Analytics Data Platform to own the storage, compute, and workflows that power analytics at scale across AutoCAD, Revit, and Fusion.

You will partner with a distributed team to deliver a unified, self-serve platform that improves reliability, cost, and performance for data engineers, scientists, analysts, and ML/BI teams. You will lead through influence, translate complex infrastructure into usable features, and ensure governance and security

Qualifikationen

• 4+ years in product management for infrastructure or platform products at scale.
• Proven ability to align cross-functional and globally distributed teams.
• Strong empathy for technical users and ability to translate needs into decisions.
• Connect platform choices to business outcomes such as cost, performance, and reliability.
• Fluency in product discovery using data and research to guide build decisions.
• End-to-end delivery experience, including migrations and retirement of old paths.
• Data-driven, measurable decision making for platform usage and impact.

Aufgaben

• Own the vision and roadmap for storage, compute, and platform integration.
• Define a unified self-serve experience for storage, compute, and access on demand.
• Set reliability targets so analytics and AI workloads run with confidence.
• Provide visibility into usage, costs, and performance to teams.
• Partner with distributed engineers and talk to users to uncover blockers.
• Lead technical discussions, write clear PRDs, and run quarterly planning.
• Champion security and compliance from development through deployment.
• Measure platform impact on provision time, reliability, adoption, and cost.

Kenntnisse

Cross-functional leadership

Data platforms

Cloud infrastructure

Technical depth

Product discovery

Stakeholder management

Ausbildung

Bachelor's degree in a technical field

Tools

Spark

Trino

Iceberg

Snowflake

Kubernetes

Looker

Airflow

Jobbeschreibung

Job ID26WD100898Job ID26WD100898Job Requisition ID #26WD100898Position OverviewAutodesk 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.ResponsibilitiesOwn the vision and roadmap for the platform's storage, compute, and the systems that connect analytics platform workflowsDefine a unified, self-serve experience for getting storage, compute, and access on demandSet the reliability bar for the platform and hold it there, so teams can run business-critical analytics and AI workloads with confidenceGive teams clear visibility into what they use, what it costs, and how to improve performancePartner with a distributed engineering team, and talk to users directly to find what slows them down and add the fixes to the roadmapLead technical discussions, write clear product requirements, and run quarterly planning and prioritizationManage the full lifecycle, from new capabilities through migrations to retirement, keeping the platform current as engines, formats, and cloud services changeBuild in security and compliance from the start, including least-privilege, project-scoped access, and environment isolationTrack big data and AI infrastructure trends, and run vendor assessments when buying beats buildingMeasure and report the platform's impact, including time to provision, reliability, performance, adoption, and costBe the go-to expert and advocate for the platform, keeping documentation current and supporting the teams that build on itMinimum Qualifications4+ years in product management, including infrastructure or platform products at scale such as data platforms, cloud infrastructure, or developer toolingProven ability to align cross-functional and globally distributed teams without formal authoritySkilled at working with stakeholders, communicating early, anticipating needs, and building agreement with peers and senior leadershipStrong empathy for technical users, turning the daily problems of engineers, scientists, and analysts into product decisionsAble to connect platform decisions to business outcomes and to clear targets for cost, performance, and reliabilityAble to prioritize across many competing teams and workloadsTechnical depth to discuss storage, compute, query engines, and orchestration credibly with senior engineers, and to weigh the trade-offs of scale, performance, and costA clear communicator who drives adoption across internal teamsFluency in product discovery, using research and data to learn what is worth building, whether it will work, and whether teams will use itA track record of leading delivery end to end, including migrations where users actually move and the old path is retiredA data-driven approach, measuring how the platform is used and making decisions from that dataPreferred QualificationsExperience 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 managementExperience with the analytics surfaces that sit on top, such as Looker, notebooks, or query workbenchesExperience leading an infrastructure or platform migration at scale, including multi-region or data-residency requirementsExperience making build-versus-buy decisions and running vendor assessmentsLearn MoreAbout AutodeskWelcome 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 transparencySalary 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.BelongingWe take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belongingIn-Person Onboarding and Identity VerificationThis role may require in-person onboarding and/or in-person ID verification.