Skip to content

Open nowPosted 30 days ago

Technical Program Manager , AI/ML

Autodesk170 open roles

Pay
$95,000 – $138,600 a year
Where
Toronto ON CAN
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowTechnical Program Manager , AI/MLAutodesk · Toronto ON CAN
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Autodesk's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. Autodesk postings stay open a median of 34 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 30 days ago

Autodesk median: 34 days open

The posting

Job Requisition ID #

26WD101205

L'affichage de poste en français suivra / The French job posting follows.

26WD101205, Technical Program Manager , AI/ML

Position Overview

The Platform Services and Emerging Technologies (PSET) team is seeking a Technical Program Manager (TPM) to drive successful delivery of Autodesk's Generative AI Accelerator (GAIA) outcomes.

In this role, you will drive complex, cross-functional programs that move emerging AI capabilities from research into production. You will partner closely with research, engineering, architecture, data, security, legal, and product leadership so that new AI capabilities are delivered responsibly, predictably, and at scale.

This role requires strong technical depth including AI fluency, excellent execution discipline, and the ability to operate effectively across organizations to align priorities, manage risk, and drive outcomes in ambiguous, fast-moving environments.

Responsibilities

  • Drive end-to-end delivery of GAIA program outcomes, from experimentation through production readiness and adoption
  • Drive the business outcomes realized through delivery of AI/ML capabilities, partnering with engineering teams and leadership across product integration, platform adoption, and operational scalability
  • Build and maintain integrated delivery plans across research and engineering teams, ensuring clear milestones, dependencies, and risk management
  • Drive delivery forecasting, execution tracking, and transparent reporting across program lifecycles
  • Orchestrate delivery across research, engineering, security, legal, product, and platform teams, following changes downstream to everything they touch
  • Partner with executive stakeholders, architects, and product leaders to shape strategy, sequencing, and execution plans
  • Provide clear, actionable status reporting at both executive and team levels, including risks, tradeoffs, and mitigation strategies
  • Anticipate dependencies and risks rather than discover them, across data, model readiness, and delivery timelines
  • Support teams with impediment removal, exception handling, and dependency resolution
  • Use approved AI tools and automation responsibly to create visibility, repeatability, and a single source of truth across delivery, while validating outputs and maintaining human judgment
  • Champion Agile and Lean delivery practices, supporting self-organizing teams operating in complex environments
  • Use evidence and validated learning to adapt plans, improving delivery effectiveness, collaboration, and program outcomes
  • Act as a change agent, helping teams navigate evolving requirements, research uncertainty, and platform priorities

Minimum Qualifications

  • Bachelor's degree in Engineering, Computer Science, Business Administration, or a related field
  • 5+ years of experience delivering complex, cross-team initiatives in fast-paced technical environments
  • 3+ years in a TPM, Product Manager, Software Architect, or similar role
  • Strong understanding of cloud platforms and distributed systems, including APIs and services on AWS, Azure, or Google Cloud
  • Working knowledge of AI/ML concepts and the software development lifecycle, including how AI-assisted tools are used in delivery
  • Excellent communication and stakeholder management skills, with the ability to influence across technical and non-technical audiences
  • Strong problem-solving skills with a bias toward action and outcomes

Preferred Qualifications

  • Experience delivering AI/ML, Generative AI, data platform, or research-to-production programs
  • Familiarity with AI systems such as model training and evaluation, inference and serving, or retrieval and vector databases
  • Understanding of Responsible AI, data governance, privacy, and compliance concepts
  • Passion for operational excellence, process improvement, and scalable delivery practices

--------------------------------------------------------------------------------------------------------------------

26WD101205 Responsable de programme technique, IA/ML

Aperçu du Poste

L'équipe « Platform Services and Emerging Technologies » (PSET) recherche un responsable de programme technique (TPM) chargé de piloter la mise en œuvre réussie des résultats du programme « Generative AI Accelerator » (GAIA) d'Autodesk.

À ce poste, vous piloterez des programmes complexes et transversaux visant à faire passer les capacités émergentes en IA de la recherche à la production. Vous travaillerez en étroite collaboration avec les responsables de la recherche, de l’ingénierie, de l’architecture, des données, de la sécurité, des affaires juridiques et des produits afin de garantir que les nouvelles capacités d’IA soient mises en œuvre de manière responsable, prévisible et à grande échelle.

Ce poste exige de solides connaissances techniques, notamment une maîtrise approfondie de l’IA, une excellente discipline d’exécution et la capacité à intervenir efficacement au sein de différentes structures organisationnelles pour aligner les priorités, gérer les risques et obtenir des résultats dans des environnements ambigus et en constante évolution.

Responsabilités

  • Piloter la mise en œuvre de bout en bout des résultats du programme GAIA, de l’expérimentation à la mise en production et à l’adoption
  • Piloter les résultats commerciaux obtenus grâce à la mise en œuvre des capacités d’IA/ML, en partenariat avec les équipes d’ingénierie et les responsables dans les domaines de l’intégration des produits, de l’adoption de la plateforme et de l’évolutivité opérationnelle
  • Élaborer et maintenir des plans de mise en œuvre intégrés entre les équipes de recherche et d’ingénierie, en garantissant la clarté des jalons, des dépendances et de la gestion des risques
  • Piloter les prévisions de mise en œuvre, le suivi de l’exécution et le reporting transparent tout au long du cycle de vie des programmes
  • Orchestrer la mise en œuvre entre les équipes de recherche, d’ingénierie, de sécurité, juridiques, produit et de plateforme, en suivant les répercussions en aval sur tout ce qu’elles touchent
  • Collaborer avec les parties prenantes de la direction, les architectes et les responsables produit pour définir la stratégie, l’enchaînement des étapes et les plans d’exécution
  • Fournir des rapports d’état clairs et exploitables tant au niveau de la direction qu’au niveau des équipes, incluant les risques, les compromis et les stratégies d’atténuation
  • Anticiper les dépendances et les risques plutôt que de les découvrir a posteriori, qu’il s’agisse des données, de l’état de préparation des modèles ou des délais de mise en œuvre
  • Soutenir les équipes en éliminant les obstacles, en gérant les exceptions et en résolvant les dépendances
  • Utiliser de manière responsable les outils d’IA et d’automatisation approuvés pour garantir la visibilité, la reproductibilité et une source unique de vérité tout au long de la livraison, tout en validant les résultats et en préservant le jugement humain
  • Promouvoir les pratiques de livraison Agile et Lean, en soutenant les équipes auto-organisées évoluant dans des environnements complexes
  • S’appuyer sur des données factuelles et des enseignements validés pour adapter les plans, améliorant ainsi l’efficacité de la livraison, la collaboration et les résultats du programme
  • Agir en tant qu’agent du changement, en aidant les équipes à s’adapter à l’évolution des exigences, aux incertitudes liées à la recherche et aux priorités de la plateforme

Qualifications Minimales

  • Licence en ingénierie, en informatique, en gestion d’entreprise ou dans un domaine connexe
  • Au moins 5 ans d’expérience dans la mise en œuvre d’initiatives complexes impliquant plusieurs équipes, au sein d’environnements techniques en constante évolution
  • Au moins 3 ans d’expérience dans un poste de TPM, de chef de produit, d’architecte logiciel ou dans un rôle similaire
  • Solide compréhension des plateformes cloud et des systèmes distribués, y compris les API et les services sur AWS, Azure ou Google Cloud
  • Connaissance pratique des concepts d’IA/ML et du cycle de vie du développement logiciel, notamment de l’utilisation des outils assistés par l’IA dans la mise en œuvre
  • Excellentes compétences en communication et en gestion des parties prenantes, avec la capacité d’influencer des publics tant techniques que non techniques
  • Solides compétences en résolution de problèmes, avec une orientation vers l’action et les résultats

Qualifications Souhaitées

  • Expérience dans la mise en œuvre de programmes d’IA/ML, d’IA générative, de plateformes de données ou de programmes allant de la recherche à la production
  • Connaissance des systèmes d’IA tels que l’entraînement et l’évaluation de modèles, l’inférence et le service, ou encore les bases de données de recherche et vectorielles
  • Compréhension des concepts de responsabilité en matière d’IA, de gouvernance des données, de confidentialité et de conformité
  • Passion pour l’excellence opérationnelle, l’amélioration des processus et les pratiques de livraison évolutives

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 $95,000 and $138,600. 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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Autodesk's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Autodesk's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Autodesk's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.