ABOUT THE ROLE 

• As the Global AI-Enhanced Quality Manager, you will define the future of quality at SharkNinja. You’ll lead global QA standards across human and AI-assisted channels, ensuring we deliver empathetic, consistent, and high-performing consumer experiences worldwide. You’ll modernize our approach to quality—shifting from traditional sampling to intelligent, AI-informed assessment—while ensuring our programs build trust and reinforce our Hear It, Feel It, Fix It philosophy. You’ll partner with Technology to influence how tools evolve and with regional leaders to ensure global alignment with local nuance. 

HERE’S WHAT YOU’LL DO 

• Lead global QA strategy, scorecard design, calibration models, and quality expectations across all regions and channels. 

• Modernize QA practices by integrating AI-supported evaluation, behavioral cues, and near-real-time performance visibility. 

• Partner with Technology to inform requirements, training data needs, and workflow enhancements for AI QA tools. 

• Drive global calibration practices to ensure fairness, alignment, and consistent agent evaluation. 

• Identify agent capability gaps and collaborate with Global L&D on training and coaching interventions. 

• Provide guidance to Operations, regional QA leaders, and BPO partners to maintain high standards and continuous improvement. 

• Translate QA learnings into clear actions that elevate empathy, trust, and the consumer experience. 

• Ensure SharkNinja provides all consumers with an extraordinary 5-star experience regardless of their preferred contact channel  

• Promote a culture of curiosity, quality, and rapid problem-solving in alignment with Hear It, Feel It, Fix It. 

• Travel to our international engagement centres as required  

HERE’S WHAT YOU’LL BRING 

• Bachelor’s degree in Business, Communications, Operations, or similar discipline; equivalent experience welcome. 

• 6+ years of experience in QA leadership, contact center operations, or consumer experience performance roles. 

• Deep understanding of QA frameworks, calibration practices, and performance drivers. 

• Experience working with or influencing AI-supported QA tools; ZOOM an asset. 

• Ability to drive global standardization while respecting cultural and linguistic differences. 

• Strong analytical mindset and ability to connect quality trends to meaningful actions. 

• Excellent communication skills with the ability to influence cross-regional leaders and partners. 

• Curiosity, adaptability, and a passion for elevating quality in modern, AI-enabled environments. 

• Fluency in English and French required. 

WHAT SUCCESS LOOKS LIKE 

• Global QA standards evolve into modern, AI-supported frameworks that improve accuracy and speed. 

• All markets show improved quality, consistency, and trust-building behaviors. 

• Calibration is strong, fair, and aligned across regions. 

• Clear, predictive quality signals help prevent issues before they impact consumers. 

• The QA function becomes a driver of brand trust through empathy, clarity, and action—embodying Hear It, Feel It, Fix It. 

 --------------------------------------------------------------------------------------------------------------------------
 
À PROPOS DU POSTE 

En tant que Responsable mondial(e) Qualité augmentée par l’IA, vous définirez l’avenir de la qualité chez SharkNinja. Vous piloterez les standards QA mondiaux sur les canaux humains et assistés par l’IA, en garantissant des expériences consommateurs empathiques, cohérentes et performantes à l’échelle mondiale. Vous moderniserez notre approche de la qualité — en passant d’un échantillonnage traditionnel à une évaluation intelligente alimentée par l’IA — tout en veillant à ce que nos programmes renforcent la confiance et incarnent notre philosophie Hear It, Feel It, Fix It. Vous collaborerez avec l’équipe Technologie pour influencer l’évolution des outils et avec les responsables régionaux afin d’assurer un alignement global respectant les spécificités locales. 

CE QUE VOUS FEREZ 

• Piloter la stratégie QA mondiale, la conception des scorecards, les modèles de calibration et les standards qualité dans toutes les régions et sur tous les canaux. 
   

• Moderniser les pratiques QA en intégrant des évaluations assistées par l’IA, des indicateurs comportementaux et une visibilité de la performance quasi en temps réel. 
   

• Collaborer avec l’équipe Technologie pour définir les besoins fonctionnels, les exigences en données d’entraînement et les améliorations des workflows des outils QA basés sur l’IA. 
   

• Déployer des pratiques de calibration mondiales afin de garantir équité, alignement et cohérence dans l’évaluation des agents. 
   

• Identifier les écarts de compétences des agents et collaborer avec l’équipe Global L&D sur les actions de formation et de coaching. 
   

• Fournir des orientations aux équipes Opérations, aux responsables QA régionaux et aux partenaires BPO afin de maintenir des standards élevés et une amélioration continue. 
   

• Traduire les enseignements QA en actions concrètes visant à renforcer l’empathie, la confiance et l’expérience consommateur. 
   

• Veiller à ce que SharkNinja offre à tous les consommateurs une expérience extraordinaire 5 étoiles, quel que soit leur canal de contact préféré. 
   

• Promouvoir une culture de curiosité, d’exigence qualité et de résolution rapide des problèmes, en cohérence avec Hear It, Feel It, Fix It. 
   

• Se déplacer dans nos centres internationaux d’engagement si nécessaire. 

CE QUE VOUS APPORTEREZ 

• Diplôme de niveau Licence en Commerce, Communication, Opérations ou discipline similaire ; expérience équivalente acceptée. 
   

• Plus de 6 ans d’expérience en leadership QA, opérations de centre de contact ou gestion de la performance en expérience consommateur. 
   

• Excellente maîtrise des frameworks QA, des pratiques de calibration et des leviers de performance. 
   

• Expérience dans l’utilisation ou l’influence d’outils QA assistés par l’IA ; la connaissance de ZOOM est un atout. 
   

• Capacité à piloter une standardisation mondiale tout en respectant les différences culturelles et linguistiques. 
   

• Solide esprit analytique et capacité à transformer les tendances qualité en actions concrètes et pertinentes. 
   

• Excellentes compétences en communication avec la capacité d’influencer des leaders et partenaires multi-régionaux. 
   

• Curiosité, adaptabilité et passion pour l’élévation des standards qualité dans des environnements modernes et enrichis par l’IA. 
   

• Maîtrise de l’anglais et du français requise. 

À QUOI RESSEMBLE LE SUCCÈS 

• Les standards QA mondiaux évoluent vers des frameworks modernes, soutenus par l’IA, améliorant la précision et la rapidité. 
   

• Tous les marchés démontrent une amélioration de la qualité, de la cohérence et des comportements générateurs de confiance. 
   

• La calibration est solide, équitable et alignée entre les régions. 
   

• Des indicateurs qualité clairs et prédictifs permettent de prévenir les problématiques avant qu’elles n’impactent les consommateurs. 
   

• La fonction QA devient un moteur de confiance pour la marque grâce à l’empathie, la clarté et l’action — incarnant pleinement Hear It, Feel It, Fix It. 

L’opportunité
Êtes-vous une ingénieure ou un ingénieur en développement et exploitation (DevOps) visionnaire qui s’intéresse particulièrement à la mise en place d’infrastructures modernes grâce à l’automatisation, à l’infrastructure en tant que code (IaC) et aux pratiques CI/CD avancées? Au sein de l’équipe IT Engineering de Unity Technologies, vous jouerez un rôle central dans l’évolution de notre environnement multinuagique mondial.

Ce rôle comprend la conception et la gestion de solutions conteneurisées à haute disponibilité, avec un fort accent sur Kubernetes (en particulier GKE), ainsi que l’intégration d’outils d’IA pour accroître l’efficacité. Votre expertise façonnera directement l’infrastructure dynamique des TI, qui permet aux équipes d’ingénierie de Unity de créer des logiciels novateurs utilisés par des millions de développeuses et développeurs dans le monde. Vous ferez partie d’une équipe performante, répartie sur plusieurs régions, qui se consacre à l’innovation continue et à l’automatisation de nos systèmes et qui établit des standards élevés d’excellence.

Si vous n’avez pas peur de retrousser vos manches et que vous aimez relever de nouveaux défis au sein d’une entreprise de renommée mondiale, nous voulons vous rencontrer!

Ce que vous allez faire

• Concevoir, mettre en œuvre et maintenir une infrastructure infonuagique évolutive en appliquant les principes d’infrastructure en tant que code (IaC).
• Créer des applications conteneurisées et gérer des grappes Kubernetes, avec un accent sur Google Kubernetes Engine (GKE).
• Concevoir et tenir à jour des pipelines CI/CD robustes à l’aide d’outils modernes comme ArgoCD, GitHub Actions et Jenkins afin de permettre des déploiements rapides.
• Automatiser l’ensemble des volets de l’infrastructure et des opérations TI afin de réduire le travail manuel, d’améliorer la fiabilité et d’optimiser l’expérience des utilisateurs.
• Explorer et implémenter des outils d’IA pour améliorer l’efficacité opérationnelle, la sécurité et les capacités de maintenance prédictive.

Ce que nous recherchons

• Expertise de Kubernetes (GKE) et des technologies de conteneurisation.
• Expérience éprouvée avec des outils d’infrastructure en tant que code (IaC) (p. ex. Terraform et Ansible).
• Maîtrise des méthodologies et des outils CI/CD (ArgoCD, GitHub Actions, Jenkins).
• Solide expérience de travail dans un environnement infonuagique (GCP, AWS ou Azure).
• Capacité à rédiger du code de haute qualité, prêt pour la production, dans des langages comme Python ou Golang pour l’automatisation et le développement de services.

Vous avez peut-être également

• Une expérience en développement ou en intégration d’outils d’IA/AA (ML).
• Une connaissance des pratiques modernes d’observabilité, incluant la journalisation avancée, les métriques et l’alertage, par exemple Elastic Stack (Elasticsearch, Kibana) et Prometheus/Grafana.
• Une expertise en dépannage avancé et en optimisation de performance de services complexes exécutés dans des environnements de production Linux à fort volume de trafic.
• Une connaissance des services infonuagiques natifs et disposer d’une expérience en automatisation d’infrastructures de bases de données SQL/NoSQL.
• Un sens solide des responsabilités pour mettre en place des feuilles de route et des initiatives techniques, et d’excellentes aptitudes de collaboration au sein d’une équipe répartie sur plusieurs régions.

Information supplémentaire

• Le support à la relocalisation n’est pas disponible pour ce poste
• Un visa de travail ou un parrainage de l’immigration n’est pas disponible pour ce poste

Avantages
Chez Unity, nous voulons que nos membres d’équipe s’épanouissent. Nous offrons un large éventail d’avantages conçus pour soutenir le bien-être et l’équilibre travail-vie personnelle.

Veuillez noter: L’admissibilité aux avantages, les offres spécifiques et la couverture varient selon le pays et le statut d’emploi.

Bien que les avantages précis puissent varier, voici certaines des façons dont nous nous efforçons de prendre soin de nos membres d’équipe admissibles à l’échelle mondiale : assurance santé, vie et invalidité complète | Subvention pour les déplacements | Participation des employés à l’actionnariat | Régimes de retraite/pension compétitifs | Vacances et congés personnels généreux | Soutien aux nouveaux parents grâce à des congés et des programmes de soutien aux familles | Collations offertes au bureau | Programmes et soutien en matière de santé mentale et de bien-être | Groupes-ressources pour employés | Programme mondial d’aide aux employés | Programmes de formation et de perfectionnement | Programme de bénévolat et de jumelage de dons

La vie chez Unity
Unity [NYSE : U] est le premier moteur de jeu au monde, propulsant les expériences de plus de 3 milliards d’utilisateurs(rices) chaque mois. Les plus grands jeux mobiles, les titres indépendants PC les plus populaires, des jeux console parmi les plus innovants, ainsi que la quasi-totalité des principales expériences XR et jeux Web sont développés, déployés et optimisés avec Unity.

Unity accompagne également des équipes dans des secteurs tels que l’automobile, l’industrie manufacturière et la santé pour concevoir, simuler et collaborer en 3D - comblant ainsi l’écart entre les idées et la réalité. Pour plus d’informations, veuillez visiter www.unity.com.

Unity est un employeur fier de garantir l’égalité des chances. Nous nous engageons à favoriser un environnement inclusif et innovateur et à célébrer nos employés à travers l’âge, l’éthinicité, la couleur, l’ascendance, l’origine nationale, la religion, le handicap, le sexe, l’identité ou l’expression de genre, l’orientation sexuelle ou tout autre statut protégé conformément à la loi applicable. Si vous êtes en situation de handicap ou avez des besoins spécifiques nécessitant des aménagements pour que votre entretien se déroule dans les meilleures conditions, nous vous invitons à remplir ce formulaire afin de nous en informer et que nous puissions faire le nécessaire.

Ce poste exige que son ou sa titulaire possède une connaissance de l’anglais qui soit suffisante pour lui permettre d’avoir des échanges professionnels verbaux et écrits dans cette langue, puisque l’accomplissement des tâches liées à ce poste nécessite des communications fréquentes et régulières avec des collègues et partenaire situés à l’échelle mondiale et dont la langue commune est l’anglais.

Les chasseurs de têtes et les agences de recrutement ne peuvent pas soumettre résumes/CV par ce site Web ou directement aux superviseurs. Unity n’accepte pas des chasseurs de têtes non sollicités et des résumés (CV) d’agence. Unity ne payera pas d’honoraires à aucune agence tierce ou entreprise qui n’a pas signé d’ententes avec Unity.

La protection de votre vie privée est importante pour nous. Veuillez prendre un moment pour consulter nos politiques de confidentialité pour les prospects et les candidats. Si vous avez des questions concernant la protection de votre vie privée, veuillez nous contacter à DPO@unity.com.

The opportunity
Are you a visionary DevOps Engineer with a keen focus on driving modern infrastructure through Automation, Infrastructure-as-Code (IaC), and advanced CI/CD practices? At Unity Technologies IT Engineering, you will be pivotal in evolving our global, multi-cloud environment.

This includes architecting and managing highly available, containerized solutions, with a strong emphasis on Kubernetes (specifically GKE), and integrating AI tooling to enhance efficiency. Your expertise will directly shape the dynamic IT infrastructure that empowers Unity’s engineering teams to create groundbreaking software utilized by millions of developers worldwide. You will be part of a high-performing, multi-region team dedicated to continuous innovation and automation of our systems, setting a high standard for excellence.

If you’re not afraid to roll up your sleeves and enjoy new challenges supporting a globally leading company, we are looking for you!

What you'll be doing

• Designing, implementing, and maintaining scalable cloud infrastructure using Infrastructure-as-Code (IaC) principles.
• Building containerized applications and managing Kubernetes clusters, with a focus on Google Kubernetes Engine (GKE).
• Developing and maintaining robust CI/CD pipelines using modern tools like ArgoCD, GitHub Actions, and Jenkins for rapid deployment.
• Driving automation across all aspects of the IT infrastructure and operations to minimize manual effort, improve reliability and improve the user experience.
• Exploring and implementing AI tooling to enhance operational efficiency, security, and predictive maintenance capabilities.

What we're looking for

• Expertise with Kubernetes (GKE) and containerization technologies.
• Proven experience with Infrastructure-as-Code (IaC) tools (e.g., Terraform and Ansible.)
• Deep understanding of CI/CD methodologies and tools (ArgoCD, GitHub Actions, Jenkins).
• Strong background working in a cloud environment (GCP, AWS, or Azure).
• Ability to write high-quality, production-grade code in languages like Python or Golang for automation and service development.

You might also have

• Experience with developing or integrating AI/ML tooling.
• Familiarity with modern Observability practices, including robust logging, metrics, and alerting, e.g. Elastic Stack (Elasticsearch, Kibana) and Prometheus/Grafana.
• Expertise in advanced troubleshooting and performance optimization of complex services running in high-traffic Linux-based production environments.
• Familiarity with cloud-native services and experience with SQL/NoSQL database infrastructure automation.
• Strong ownership mindset to drive technical roadmaps and initiatives, coupled with excellent collaboration skills to work effectively within a multi-region team.

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-SA1

L’opportunité
Êtes-vous une ingénieure ou un ingénieur en développement et exploitation (DevOps) visionnaire qui s’intéresse particulièrement à la mise en place d’infrastructures modernes grâce à l’automatisation, à l’infrastructure en tant que code (IaC) et aux pratiques CI/CD avancées? Au sein de l’équipe IT Engineering de Unity Technologies, vous jouerez un rôle central dans l’évolution de notre environnement multinuagique mondial.

Ce rôle comprend la conception et la gestion de solutions conteneurisées à haute disponibilité, avec un fort accent sur Kubernetes (en particulier GKE), ainsi que l’intégration d’outils d’IA pour accroître l’efficacité. Votre expertise façonnera directement l’infrastructure dynamique des TI, qui permet aux équipes d’ingénierie de Unity de créer des logiciels novateurs utilisés par des millions de développeuses et développeurs dans le monde. Vous ferez partie d’une équipe performante, répartie sur plusieurs régions, qui se consacre à l’innovation continue et à l’automatisation de nos systèmes et qui établit des standards élevés d’excellence.

Si vous n’avez pas peur de retrousser vos manches et que vous aimez relever de nouveaux défis au sein d’une entreprise de renommée mondiale, nous voulons vous rencontrer!

Ce que vous allez faire

• Concevoir, mettre en œuvre et maintenir une infrastructure infonuagique évolutive en appliquant les principes d’infrastructure en tant que code (IaC).
• Créer des applications conteneurisées et gérer des grappes Kubernetes, avec un accent sur Google Kubernetes Engine (GKE).
• Concevoir et tenir à jour des pipelines CI/CD robustes à l’aide d’outils modernes comme ArgoCD, GitHub Actions et Jenkins afin de permettre des déploiements rapides.
• Automatiser l’ensemble des volets de l’infrastructure et des opérations TI afin de réduire le travail manuel, d’améliorer la fiabilité et d’optimiser l’expérience des utilisateurs.
• Explorer et implémenter des outils d’IA pour améliorer l’efficacité opérationnelle, la sécurité et les capacités de maintenance prédictive.

Ce que nous recherchons

• Expertise de Kubernetes (GKE) et des technologies de conteneurisation.
• Expérience éprouvée avec des outils d’infrastructure en tant que code (IaC) (p. ex. Terraform et Ansible).
• Maîtrise des méthodologies et des outils CI/CD (ArgoCD, GitHub Actions, Jenkins).
• Solide expérience de travail dans un environnement infonuagique (GCP, AWS ou Azure).
• Capacité à rédiger du code de haute qualité, prêt pour la production, dans des langages comme Python ou Golang pour l’automatisation et le développement de services.

Vous avez peut-être également

• Une expérience en développement ou en intégration d’outils d’IA/AA (ML).
• Une connaissance des pratiques modernes d’observabilité, incluant la journalisation avancée, les métriques et l’alertage, par exemple Elastic Stack (Elasticsearch, Kibana) et Prometheus/Grafana.
• Une expertise en dépannage avancé et en optimisation de performance de services complexes exécutés dans des environnements de production Linux à fort volume de trafic.
• Une connaissance des services infonuagiques natifs et disposer d’une expérience en automatisation d’infrastructures de bases de données SQL/NoSQL.
• Un sens solide des responsabilités pour mettre en place des feuilles de route et des initiatives techniques, et d’excellentes aptitudes de collaboration au sein d’une équipe répartie sur plusieurs régions.

Information supplémentaire

• Le support à la relocalisation n’est pas disponible pour ce poste
• Un visa de travail ou un parrainage de l’immigration n’est pas disponible pour ce poste

Avantages
Chez Unity, nous voulons que nos membres d’équipe s’épanouissent. Nous offrons un large éventail d’avantages conçus pour soutenir le bien-être et l’équilibre travail-vie personnelle.

Veuillez noter: L’admissibilité aux avantages, les offres spécifiques et la couverture varient selon le pays et le statut d’emploi.

Bien que les avantages précis puissent varier, voici certaines des façons dont nous nous efforçons de prendre soin de nos membres d’équipe admissibles à l’échelle mondiale : assurance santé, vie et invalidité complète | Subvention pour les déplacements | Participation des employés à l’actionnariat | Régimes de retraite/pension compétitifs | Vacances et congés personnels généreux | Soutien aux nouveaux parents grâce à des congés et des programmes de soutien aux familles | Collations offertes au bureau | Programmes et soutien en matière de santé mentale et de bien-être | Groupes-ressources pour employés | Programme mondial d’aide aux employés | Programmes de formation et de perfectionnement | Programme de bénévolat et de jumelage de dons

La vie chez Unity
Unity [NYSE : U] est le premier moteur de jeu au monde, propulsant les expériences de plus de 3 milliards d’utilisateurs(rices) chaque mois. Les plus grands jeux mobiles, les titres indépendants PC les plus populaires, des jeux console parmi les plus innovants, ainsi que la quasi-totalité des principales expériences XR et jeux Web sont développés, déployés et optimisés avec Unity.

Unity accompagne également des équipes dans des secteurs tels que l’automobile, l’industrie manufacturière et la santé pour concevoir, simuler et collaborer en 3D - comblant ainsi l’écart entre les idées et la réalité. Pour plus d’informations, veuillez visiter www.unity.com.

Unity est un employeur fier de garantir l’égalité des chances. Nous nous engageons à favoriser un environnement inclusif et innovateur et à célébrer nos employés à travers l’âge, l’éthinicité, la couleur, l’ascendance, l’origine nationale, la religion, le handicap, le sexe, l’identité ou l’expression de genre, l’orientation sexuelle ou tout autre statut protégé conformément à la loi applicable. Si vous êtes en situation de handicap ou avez des besoins spécifiques nécessitant des aménagements pour que votre entretien se déroule dans les meilleures conditions, nous vous invitons à remplir ce formulaire afin de nous en informer et que nous puissions faire le nécessaire.

Ce poste exige que son ou sa titulaire possède une connaissance de l’anglais qui soit suffisante pour lui permettre d’avoir des échanges professionnels verbaux et écrits dans cette langue, puisque l’accomplissement des tâches liées à ce poste nécessite des communications fréquentes et régulières avec des collègues et partenaire situés à l’échelle mondiale et dont la langue commune est l’anglais.

Les chasseurs de têtes et les agences de recrutement ne peuvent pas soumettre résumes/CV par ce site Web ou directement aux superviseurs. Unity n’accepte pas des chasseurs de têtes non sollicités et des résumés (CV) d’agence. Unity ne payera pas d’honoraires à aucune agence tierce ou entreprise qui n’a pas signé d’ententes avec Unity.

La protection de votre vie privée est importante pour nous. Veuillez prendre un moment pour consulter nos politiques de confidentialité pour les prospects et les candidats. Si vous avez des questions concernant la protection de votre vie privée, veuillez nous contacter à DPO@unity.com.

The opportunity
Are you a visionary DevOps Engineer with a keen focus on driving modern infrastructure through Automation, Infrastructure-as-Code (IaC), and advanced CI/CD practices? At Unity Technologies IT Engineering, you will be pivotal in evolving our global, multi-cloud environment.

This includes architecting and managing highly available, containerized solutions, with a strong emphasis on Kubernetes (specifically GKE), and integrating AI tooling to enhance efficiency. Your expertise will directly shape the dynamic IT infrastructure that empowers Unity’s engineering teams to create groundbreaking software utilized by millions of developers worldwide. You will be part of a high-performing, multi-region team dedicated to continuous innovation and automation of our systems, setting a high standard for excellence.

If you’re not afraid to roll up your sleeves and enjoy new challenges supporting a globally leading company, we are looking for you!

What you'll be doing

• Designing, implementing, and maintaining scalable cloud infrastructure using Infrastructure-as-Code (IaC) principles.
• Building containerized applications and managing Kubernetes clusters, with a focus on Google Kubernetes Engine (GKE).
• Developing and maintaining robust CI/CD pipelines using modern tools like ArgoCD, GitHub Actions, and Jenkins for rapid deployment.
• Driving automation across all aspects of the IT infrastructure and operations to minimize manual effort, improve reliability and improve the user experience.
• Exploring and implementing AI tooling to enhance operational efficiency, security, and predictive maintenance capabilities.

What we're looking for

• Expertise with Kubernetes (GKE) and containerization technologies.
• Proven experience with Infrastructure-as-Code (IaC) tools (e.g., Terraform and Ansible.)
• Deep understanding of CI/CD methodologies and tools (ArgoCD, GitHub Actions, Jenkins).
• Strong background working in a cloud environment (GCP, AWS, or Azure).
• Ability to write high-quality, production-grade code in languages like Python or Golang for automation and service development.

You might also have

• Experience with developing or integrating AI/ML tooling.
• Familiarity with modern Observability practices, including robust logging, metrics, and alerting, e.g. Elastic Stack (Elasticsearch, Kibana) and Prometheus/Grafana.
• Expertise in advanced troubleshooting and performance optimization of complex services running in high-traffic Linux-based production environments.
• Familiarity with cloud-native services and experience with SQL/NoSQL database infrastructure automation.
• Strong ownership mindset to drive technical roadmaps and initiatives, coupled with excellent collaboration skills to work effectively within a multi-region team.

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-SA1

The opportunity
At Unity, we’re committed to building a culture that fosters collaboration and innovation. Within our fast-paced environment, we’re tackling complex challenges that drive meaningful impact for creators and users across our ecosystem.

Our Vector AI team plays a crucial role in shaping the future of Unity’s monetization products. We are seeking a Senior Backend Engineer (Distributed Systems) to scale the next generation of high-scale inference systems for Unity Ads.

In this role, you will be responsible for designing, developing, and maintaining the backend infrastructure that powers our large-scale advertising models, with a focus on the performance, reliability, and scalability of inference systems. You will collaborate closely with machine learning research, product, and engineering teams to build and operate the critical services that support our advertising capabilities.

What you'll be doing

• Design, develop, and deploy scalable, high-performance, and production-grade backend services and distributed systems to support large-scale model inference.
• Contribute significantly to the technical roadmap and design of our inference platform, focusing on low-latency, high-throughput services.
• Ensure the reliability, scalability, and efficiency of our systems in production using monitoring and observability tools like Prometheus and Grafana.
• Partner cross-functionally with data science, product, and engineering teams to align platform capabilities with strategic business goals.
• Manage and optimize our cloud infrastructure (GCP) and orchestrate workloads with Kubernetes.
• Promote and implement best practices for backend service development, testing, deployment, and monitoring (DevOps, SRE).

What we're looking for

• Background in Software Engineering or a related technical field.
• Extensive hands-on experience designing, deploying, and maintaining distributed systems at scale, including managing cloud infrastructure on GCP and orchestrating workloads with Kubernetes.
• Expertise in Golang for building high-performance, low-latency systems and infrastructure.
• Deep experience with monitoring and observability tools (e.g., Prometheus, Grafana).
• Familiarity with microservice architectures, containerization (Docker), and CI/CD best practices.
• Excellent communication and collaboration skills, with an ability to articulate technical concepts to both technical and non-technical audiences.

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

We are looking for an AI Full Stack Software Developer to join our AI and Multi Asset Systematic Strategies team. This team builds AI and ML-powered tools and solutions that enable teams across the firm to work more effectively. You'll build critical infrastructure and tooling that harnesses AI and machine learning to boost productivity across the firm. Location: Montréal (preferred). Open to remote for the right candidate.

Responsibilities:

• Build internal systems that leverage AI and Machine Learning to create tooling that assists the firm.
• Architect efficient and highly scalable RAG systems informed by cutting-edge research and state-of-the-art implementations.
• Design and implement robust and scalable LLM evaluation frameworks to measure model quality and performance.
• Provide technical expertise in relevant AI and ML technologies.
• Collaborate closely with traders, researchers, and engineers to define and implement critical features.
• Research emerging technologies and evaluate new frameworks for enhancing trading and AI systems.
• Drive projects from conception to production, including technical planning, execution, and operational handoff.
• Ensure system uptime and reliability through monitoring, alerting, and proactive maintenance.
• Write clean, maintainable, and well-documented code that adheres to company standards and best practices.
• Conduct code reviews to ensure high-quality code is maintained.
• Continuously learn and stay up-to-date with emerging technologies and best practices in AI and software development.
• Proactively contribute ideas for new tools, process improvements, and technology adoption that move the team forward.

Requirements:

• Bachelor's or Master's degree in Computer Science or Software Engineering.
• 4-7+ years building production software systems with demonstrated technical leadership.
• Strong full-stack development experience with modern web frameworks and backend services.
• Proficiency in Python (required) and experience with at least one systems language (Go, Rust, C++, or Java).
• Deep understanding of API design, microservices architecture, and distributed systems.
• Hands-on experience with containerization (Docker) and orchestration platforms.
• Strong grasp of software engineering principles including design patterns, testing strategies, and code maintainability.
• Strong experience with LLMs, RAG architectures, and Agentic AI systems.
• Experience with databases (PostgreSQL, Redis) and message queues (Kafka, RabbitMQ).
• Strong communication and interpersonal skills with ability to lead technical discussions

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-KS1] 

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

We are looking for an HPC Specialist to join our AI and Multi Asset Systematic Strategies team. This team builds and operates GPU infrastructure that powers AI and ML workloads. You'll work on the infrastructure stack from bare metal to model serving, combining systems engineering, performance optimization, and infrastructure automation to solve complex problems at the intersection of hardware, networking, and distributed systems.

Responsibilities:

• Deploy, maintain, and optimize GPU infrastructure for large-scale LLM inference workloads, including provisioning, configuration, and deployment of GPU server fleets.
• Architect and implement distributed serving solutions for multi-node, multi-GPU model deployments.
• Manage GPU-enabled Kubernetes clusters for LLM and ML workloads.
• Configure network infrastructure including load balancers, firewalls, and inter-node communication for GPU clusters.
• Implement and optimize storage solutions for model weights and inference caches.
• Troubleshoot performance bottlenecks across the stack: hardware, drivers, networking, and application layer.
• Research and evaluate emerging GPU technologies, model serving frameworks, and infrastructure optimizations.
• Collaborate with ML engineers to profile model performance and implement inference acceleration techniques.
• Drive reliability improvements through monitoring, alerting, capacity planning, and incident response.

Requirements:

• Bachelor's or Master's degree in Computer Science, Systems Engineering, or related field.
• 5+ years in DevOps, SRE, or infrastructure engineering roles.
• Strong experience with GPU infrastructure, model serving frameworks (vLLM, SGLang), and GPU driver management.
• Hands-on experience optimizing deep learning workloads (inference or training) on GPU clusters.
• Deep Linux systems knowledge including network configuration, storage optimization, and Kubernetes orchestration.
• Experience with infrastructure as code tools (Ansible, Terraform, or similar).
• Strong understanding of distributed systems, networking protocols (TCP/IP, HTTP/2), and load balancing.
• Proficiency in Python and Bash scripting for automation.
• Experience with monitoring and observability tools (Prometheus, Grafana, or similar).

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

[#LI-KS1] 

DRW est une société de négoce diversifiée avec plus de 3 décennies d'expérience qui réunit une technologie sophistiquée et des personnes exceptionnelles pour opérer sur les marchés du monde entier. Nous valorisons l'autonomie et la capacité à pivoter rapidement pour saisir les opportunités, c'est pourquoi nous opérons en utilisant notre propre capital et en négociant à nos propres risques.

Basée à Chicago et disposant de bureaux aux États-Unis, au Canada, en Europe et en Asie, nous négocions diverses catégories d'actifs, notamment les titres à revenu fixe, les FNB, les actions, les devises, les matières premières et l'énergie sur les principaux marchés mondiaux. Nous avons également tiré parti de notre expertise et de notre technologie pour nous développer dans trois stratégies non traditionnelles : l'immobilier, le capital-risque et les crypto-actifs.

Nous opérons avec respect, curiosité et ouverture d'esprit. Les personnes qui s'épanouissent ici partagent notre conviction que ce n'est pas seulement ce que nous faisons qui compte - c'est la façon dont nous le faisons. DRW est un lieu d'attentes élevées, d'intégrité, d'innovation et de volonté de remettre en question le consensus.

Nous recherchons un spécialiste CHP pour rejoindre notre équipe IA et stratégies systématiques multi-actifs. Cette équipe conçoit et exploite une infrastructure GPU qui alimente des charges de travail en IA et en apprentissage automatique. Vous travaillerez sur l’ensemble de la pile d’infrastructure, du matériel bare metal jusqu’au déploiement de modèles, en combinant ingénierie des systèmes, optimisation des performances et automatisation de l’infrastructure afin de résoudre des problèmes complexes à l’intersection du matériel, des réseaux et des systèmes distribués. 

Responsabilités :

• Déployer, maintenir et optimiser l’infrastructure GPU pour des charges de travail d’inférence LLM à grande échelle, incluant le provisionnement, la configuration et le déploiement de flottes de serveurs GPU.
• Concevoir et mettre en œuvre des solutions de serving distribuées pour des déploiements de modèles multi-nœuds et multi-GPU.
• Gérer des clusters Kubernetes avec support GPU pour des charges de travail LLM et ML.
• Configurer l’infrastructure réseau, incluant les load balancers, pare-feu et la communication inter-nœuds pour les clusters GPU.
• Mettre en œuvre et optimiser des solutions de stockage pour les poids des modèles et les caches d’inférence.
• Diagnostiquer les goulets d’étranglement en matière de performance à tous les niveaux : matériel, pilotes, réseau et couche applicative. Rechercher et évaluer les nouvelles technologies GPU, les frameworks de serving de modèles et les optimisations d’infrastructure.
• Collaborer avec les ingénieurs ML pour profiler les performances des modèles et mettre en œuvre des techniques d’accélération de l’inférence. Améliorer la fiabilité via la supervision, les alertes, la planification de capacité et la gestion des incidents.

Exigences :

• Licence ou maîtrise en informatique, ingénierie des systèmes ou domaine connexe.
• Plus de 5 ans d’expérience en DevOps, SRE ou ingénierie d’infrastructure.
• Solide expérience avec l’infrastructure GPU, les frameworks de serving de modèles (vLLM, SGLang) et la gestion des pilotes GPU. 
• Expérience pratique dans l’optimisation de charges de travail en "deep learning" (inférence ou entraînement) sur des clusters GPU.
• Connaissance approfondie des systèmes Linux, incluant la configuration réseau, l’optimisation du stockage et l’orchestration Kubernetes.
• Expérience avec des outils d’infrastructure as code (Ansible, Terraform ou équivalent). Bonne compréhension des systèmes distribués, des protocoles réseau (TCP/IP, HTTP/2) et du load balancing.
• Maîtrise de Python et des scripts Bash pour l’automatisation.
• Expérience avec des outils de monitoring et d’observabilité (Prometheus, Grafana ou équivalent).
• Si tu veux, je peux aussi adapter la traduction pour qu’elle soit plus simple ou plus naturelle pour une offre au Québec (ex : termes locaux, ton plus marketing, etc.).

Ce que DRW Montréal a à vous offrir:

• Reconnue comme l'un des meilleurs employeurs au Canada depuis 8 ans
• Engagement en faveur de la formation et du développement continus
• Un ensemble d'avantages et de bénéfices à la pointe de l'industrie
• Centré sur le bien-être des employés et l'équilibre entre vie professionnelle et vie privée
• Initiatives communautaires, programme de volontariat et possibilités de redonner

Découvrez tous nos avantages à: https://drw.com/fr/work-at-drw/avantages-montreal

Pour plus d'informations sur les activités de traitement de DRW et sur l'utilisation que nous faisons des données des postulants, veuillez lire notre Politique de confidentialité ici https://drw.com/fr/politique-de-confidentialite/.

Résidents de la Californie, veuillez consulter l’avis de confidentialité de la Californie pour obtenir des informations sur certains droits légaux ici https://drw.com/fr/politique-de-confidentialite-californie.

* Le masculin est utilisé sans discrimination dans le seul but d’alléger le texte.

[#LI-KS1] 

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world.

We are hiring a Customer Success Enablement Manager to own the systems, skills, and standards that enable our post-sales teams including Customer Success and Professional Services to deliver consistent value, faster time-to-value, and measurable customer outcomes at scale. 

This role is not about running training sessions for the sake of it. It is about changing behavior and directly impacting retention, expansion, and long-term customer success.

Why this role matters:

As MaintainX scales, post-sales execution becomes increasingly complex. Customers span multiple sites, stakeholders, and industries, and expectations for value realization continue to rise.

We need a dedicated enablement individual who can:

• Define what “great” looks like across post-sales roles
• Translate strategy into repeatable, role-based execution
• Reduce customer time-to-value and employee ramp time
• Drive measurable improvements in retention, expansion, and Net Dollar Retention

This role sits at the intersection of Customer Success, Professional Services, Product, and Revenue Enablement and owns post-sales enablement strategy end-to-end, from definition through execution and measurement.

What you'll do:

• Design and deliver scalable enablement programs that build post-sales capabilities across the full customer lifecycle and journey. This includes, but is not limited to, customer relationship management, value-based conversations, onboarding and product adoption execution, structured consulting engagements, renewal readiness, expansion support.
• Establish and maintain role-based curricula and learning programs for Customer Success Managers and Implementation Consultants in partnership with CS, Professional Services, and Enablement leadership.
• Partner with the New Hire University Program Manager to support onboarding and everboarding programs that accelerate ramp time and continuously upskill tenured post-sales team members.
• Create, maintain, and evolve enablement and training resources for the post-sales organization, including playbooks, frameworks, methodologies, process guidance, and industry best practices.
• Equip Customer Success Managers with frameworks and tools to deliver effective Business Impact Reviews, articulate ROI, and lead value-based conversations tailored to customer personas, industries, and levels of seniority.
• Enable Implementation Consultants with structured guidance, tools, and best practices to deliver consistent, high-quality onboarding experiences and drive faster customer time-to-value.
• Provide one-on-one coaching, feedback, and targeted training to post-sales team members to strengthen customer interactions, technical confidence, and problem-solving effectiveness.
• Analyze performance data, customer outcomes, and call insights to identify knowledge and skill gaps and prioritize enablement initiatives across post-sales roles.
• Drive improvement in key post-sales outcomes such as Net Dollar Retention, churn reduction, expansion readiness, and onboarding effectiveness through focused, measurable enablement efforts.
• Gather and synthesize feedback from post-sales team members and managers to continuously evolve training content, resources, and coaching practices.
• Champion thoughtful adoption of AI-driven tools and insights to scale coaching, learning, and enablement effectiveness across the post-sales organization.
• Measure the impact of enablement programs using qualitative and quantitative inputs, iterating continuously to ensure programs deliver clear, measurable business results.

About you:

• You are a systems thinker who designs enablement for scale, not one-off training events.
• You are comfortable influencing senior stakeholders and driving alignment without formal authority.
• You have a deep understanding of how post-sales execution drives retention, expansion, and long-term customer value.
• You combine strong instructional design skills with a pragmatic, outcome-oriented mindset.
• You are highly organized, detail-oriented, and able to drive initiatives from concept through execution.
• You’re a builder, a collaborator, and a team player who thrives on making an impact
• You take ownership of your growth and actively seek feedback, improvement, and impact.

Your experience:

• 3-5 years of experience in Customer Success, Professional Services, or post-sales roles within a B2B SaaS environment
• 2-4 years of dedicated Enablement, readiness, or field enablement experience.
• Proven ability to build and maintain scalable enablement programs that drive behavior change and measurable business outcomes.
• Experience supporting Mid-Market and Enterprise post-sales teams.
• Strong familiarity with post-sales tooling such as Salesforce, Gainsight, Gong, or similar platforms.
• Experience working within an LMS or enablement platform, with WorkRamp experience a plus.
• Exposure to CMMS, industrial SaaS, or high-growth B2B environments is a plus.
• Bachelor’s degree in business, marketing, product, education, organizational development, or a related field is a plus.

What success looks like in the first 12 months:

• Clear post-sales execution standards are defined, documented, and reinforced through enablement.
• New post-sales hires ramp faster and more consistently across segments.
• Managers are equipped to coach effectively against defined competencies.
• Enablement programs show measurable impact on time-to-value, retention, and expansion metrics.
• Post-sales teams view enablement as a critical partner in their success.

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take what you need PTO.
• A Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
• We believe in meritocracy, where ideas and effort are publicly celebrated.

About us:

Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world.

We are hiring a Customer Success Enablement Manager to own the systems, skills, and standards that enable our post-sales teams including Customer Success and Professional Services to deliver consistent value, faster time-to-value, and measurable customer outcomes at scale. 

This role is not about running training sessions for the sake of it. It is about changing behavior and directly impacting retention, expansion, and long-term customer success.

Why this role matters:

As MaintainX scales, post-sales execution becomes increasingly complex. Customers span multiple sites, stakeholders, and industries, and expectations for value realization continue to rise.

We need a dedicated enablement individual who can:

• Define what “great” looks like across post-sales roles
• Translate strategy into repeatable, role-based execution
• Reduce customer time-to-value and employee ramp time
• Drive measurable improvements in retention, expansion, and Net Dollar Retention

This role sits at the intersection of Customer Success, Professional Services, Product, and Revenue Enablement and owns post-sales enablement strategy end-to-end, from definition through execution and measurement.

What you'll do:

• Design and deliver scalable enablement programs that build post-sales capabilities across the full customer lifecycle and journey. This includes, but is not limited to, customer relationship management, value-based conversations, onboarding and product adoption execution, structured consulting engagements, renewal readiness, expansion support.
• Establish and maintain role-based curricula and learning programs for Customer Success Managers and Implementation Consultants in partnership with CS, Professional Services, and Enablement leadership.
• Partner with the New Hire University Program Manager to support onboarding and everboarding programs that accelerate ramp time and continuously upskill tenured post-sales team members.
• Create, maintain, and evolve enablement and training resources for the post-sales organization, including playbooks, frameworks, methodologies, process guidance, and industry best practices.
• Equip Customer Success Managers with frameworks and tools to deliver effective Business Impact Reviews, articulate ROI, and lead value-based conversations tailored to customer personas, industries, and levels of seniority.
• Enable Implementation Consultants with structured guidance, tools, and best practices to deliver consistent, high-quality onboarding experiences and drive faster customer time-to-value.
• Provide one-on-one coaching, feedback, and targeted training to post-sales team members to strengthen customer interactions, technical confidence, and problem-solving effectiveness.
• Analyze performance data, customer outcomes, and call insights to identify knowledge and skill gaps and prioritize enablement initiatives across post-sales roles.
• Drive improvement in key post-sales outcomes such as Net Dollar Retention, churn reduction, expansion readiness, and onboarding effectiveness through focused, measurable enablement efforts.
• Gather and synthesize feedback from post-sales team members and managers to continuously evolve training content, resources, and coaching practices.
• Champion thoughtful adoption of AI-driven tools and insights to scale coaching, learning, and enablement effectiveness across the post-sales organization.
• Measure the impact of enablement programs using qualitative and quantitative inputs, iterating continuously to ensure programs deliver clear, measurable business results.

About you:

• You are a systems thinker who designs enablement for scale, not one-off training events.
• You are comfortable influencing senior stakeholders and driving alignment without formal authority.
• You have a deep understanding of how post-sales execution drives retention, expansion, and long-term customer value.
• You combine strong instructional design skills with a pragmatic, outcome-oriented mindset.
• You are highly organized, detail-oriented, and able to drive initiatives from concept through execution.
• You’re a builder, a collaborator, and a team player who thrives on making an impact
• You take ownership of your growth and actively seek feedback, improvement, and impact.

Your experience:

• 3-5 years of experience in Customer Success, Professional Services, or post-sales roles within a B2B SaaS environment
• 2-4 years of dedicated Enablement, readiness, or field enablement experience.
• Proven ability to build and maintain scalable enablement programs that drive behavior change and measurable business outcomes.
• Experience supporting Mid-Market and Enterprise post-sales teams.
• Strong familiarity with post-sales tooling such as Salesforce, Gainsight, Gong, or similar platforms.
• Experience working within an LMS or enablement platform, with WorkRamp experience a plus.
• Exposure to CMMS, industrial SaaS, or high-growth B2B environments is a plus.
• Bachelor’s degree in business, marketing, product, education, organizational development, or a related field is a plus.

What success looks like in the first 12 months:

• Clear post-sales execution standards are defined, documented, and reinforced through enablement.
• New post-sales hires ramp faster and more consistently across segments.
• Managers are equipped to coach effectively against defined competencies.
• Enablement programs show measurable impact on time-to-value, retention, and expansion metrics.
• Post-sales teams view enablement as a critical partner in their success.

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take what you need PTO.
• A Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
• We believe in meritocracy, where ideas and effort are publicly celebrated.

About us:

Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world.

We are hiring a Customer Success Enablement Manager to own the systems, skills, and standards that enable our post-sales teams including Customer Success and Professional Services to deliver consistent value, faster time-to-value, and measurable customer outcomes at scale. 

This role is not about running training sessions for the sake of it. It is about changing behavior and directly impacting retention, expansion, and long-term customer success.

Why this role matters:

As MaintainX scales, post-sales execution becomes increasingly complex. Customers span multiple sites, stakeholders, and industries, and expectations for value realization continue to rise.

We need a dedicated enablement individual who can:

• Define what “great” looks like across post-sales roles
• Translate strategy into repeatable, role-based execution
• Reduce customer time-to-value and employee ramp time
• Drive measurable improvements in retention, expansion, and Net Dollar Retention

This role sits at the intersection of Customer Success, Professional Services, Product, and Revenue Enablement and owns post-sales enablement strategy end-to-end, from definition through execution and measurement.

What you'll do:

• Design and deliver scalable enablement programs that build post-sales capabilities across the full customer lifecycle and journey. This includes, but is not limited to, customer relationship management, value-based conversations, onboarding and product adoption execution, structured consulting engagements, renewal readiness, expansion support.
• Establish and maintain role-based curricula and learning programs for Customer Success Managers and Implementation Consultants in partnership with CS, Professional Services, and Enablement leadership.
• Partner with the New Hire University Program Manager to support onboarding and everboarding programs that accelerate ramp time and continuously upskill tenured post-sales team members.
• Create, maintain, and evolve enablement and training resources for the post-sales organization, including playbooks, frameworks, methodologies, process guidance, and industry best practices.
• Equip Customer Success Managers with frameworks and tools to deliver effective Business Impact Reviews, articulate ROI, and lead value-based conversations tailored to customer personas, industries, and levels of seniority.
• Enable Implementation Consultants with structured guidance, tools, and best practices to deliver consistent, high-quality onboarding experiences and drive faster customer time-to-value.
• Provide one-on-one coaching, feedback, and targeted training to post-sales team members to strengthen customer interactions, technical confidence, and problem-solving effectiveness.
• Analyze performance data, customer outcomes, and call insights to identify knowledge and skill gaps and prioritize enablement initiatives across post-sales roles.
• Drive improvement in key post-sales outcomes such as Net Dollar Retention, churn reduction, expansion readiness, and onboarding effectiveness through focused, measurable enablement efforts.
• Gather and synthesize feedback from post-sales team members and managers to continuously evolve training content, resources, and coaching practices.
• Champion thoughtful adoption of AI-driven tools and insights to scale coaching, learning, and enablement effectiveness across the post-sales organization.
• Measure the impact of enablement programs using qualitative and quantitative inputs, iterating continuously to ensure programs deliver clear, measurable business results.

About you:

• You are a systems thinker who designs enablement for scale, not one-off training events.
• You are comfortable influencing senior stakeholders and driving alignment without formal authority.
• You have a deep understanding of how post-sales execution drives retention, expansion, and long-term customer value.
• You combine strong instructional design skills with a pragmatic, outcome-oriented mindset.
• You are highly organized, detail-oriented, and able to drive initiatives from concept through execution.
• You’re a builder, a collaborator, and a team player who thrives on making an impact
• You take ownership of your growth and actively seek feedback, improvement, and impact.

Your experience:

• 3-5 years of experience in Customer Success, Professional Services, or post-sales roles within a B2B SaaS environment
• 2-4 years of dedicated Enablement, readiness, or field enablement experience.
• Proven ability to build and maintain scalable enablement programs that drive behavior change and measurable business outcomes.
• Experience supporting Mid-Market and Enterprise post-sales teams.
• Strong familiarity with post-sales tooling such as Salesforce, Gainsight, Gong, or similar platforms.
• Experience working within an LMS or enablement platform, with WorkRamp experience a plus.
• Exposure to CMMS, industrial SaaS, or high-growth B2B environments is a plus.
• Bachelor’s degree in business, marketing, product, education, organizational development, or a related field is a plus.

What success looks like in the first 12 months:

• Clear post-sales execution standards are defined, documented, and reinforced through enablement.
• New post-sales hires ramp faster and more consistently across segments.
• Managers are equipped to coach effectively against defined competencies.
• Enablement programs show measurable impact on time-to-value, retention, and expansion metrics.
• Post-sales teams view enablement as a critical partner in their success.

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take what you need PTO.
• A Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
• We believe in meritocracy, where ideas and effort are publicly celebrated.

About us:

Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world.

We are hiring a Customer Success Enablement Manager to own the systems, skills, and standards that enable our post-sales teams including Customer Success and Professional Services to deliver consistent value, faster time-to-value, and measurable customer outcomes at scale. 

This role is not about running training sessions for the sake of it. It is about changing behavior and directly impacting retention, expansion, and long-term customer success.

Why this role matters:

As MaintainX scales, post-sales execution becomes increasingly complex. Customers span multiple sites, stakeholders, and industries, and expectations for value realization continue to rise.

We need a dedicated enablement individual who can:

• Define what “great” looks like across post-sales roles
• Translate strategy into repeatable, role-based execution
• Reduce customer time-to-value and employee ramp time
• Drive measurable improvements in retention, expansion, and Net Dollar Retention

This role sits at the intersection of Customer Success, Professional Services, Product, and Revenue Enablement and owns post-sales enablement strategy end-to-end, from definition through execution and measurement.

What you'll do:

• Design and deliver scalable enablement programs that build post-sales capabilities across the full customer lifecycle and journey. This includes, but is not limited to, customer relationship management, value-based conversations, onboarding and product adoption execution, structured consulting engagements, renewal readiness, expansion support.
• Establish and maintain role-based curricula and learning programs for Customer Success Managers and Implementation Consultants in partnership with CS, Professional Services, and Enablement leadership.
• Partner with the New Hire University Program Manager to support onboarding and everboarding programs that accelerate ramp time and continuously upskill tenured post-sales team members.
• Create, maintain, and evolve enablement and training resources for the post-sales organization, including playbooks, frameworks, methodologies, process guidance, and industry best practices.
• Equip Customer Success Managers with frameworks and tools to deliver effective Business Impact Reviews, articulate ROI, and lead value-based conversations tailored to customer personas, industries, and levels of seniority.
• Enable Implementation Consultants with structured guidance, tools, and best practices to deliver consistent, high-quality onboarding experiences and drive faster customer time-to-value.
• Provide one-on-one coaching, feedback, and targeted training to post-sales team members to strengthen customer interactions, technical confidence, and problem-solving effectiveness.
• Analyze performance data, customer outcomes, and call insights to identify knowledge and skill gaps and prioritize enablement initiatives across post-sales roles.
• Drive improvement in key post-sales outcomes such as Net Dollar Retention, churn reduction, expansion readiness, and onboarding effectiveness through focused, measurable enablement efforts.
• Gather and synthesize feedback from post-sales team members and managers to continuously evolve training content, resources, and coaching practices.
• Champion thoughtful adoption of AI-driven tools and insights to scale coaching, learning, and enablement effectiveness across the post-sales organization.
• Measure the impact of enablement programs using qualitative and quantitative inputs, iterating continuously to ensure programs deliver clear, measurable business results.

About you:

• You are a systems thinker who designs enablement for scale, not one-off training events.
• You are comfortable influencing senior stakeholders and driving alignment without formal authority.
• You have a deep understanding of how post-sales execution drives retention, expansion, and long-term customer value.
• You combine strong instructional design skills with a pragmatic, outcome-oriented mindset.
• You are highly organized, detail-oriented, and able to drive initiatives from concept through execution.
• You’re a builder, a collaborator, and a team player who thrives on making an impact
• You take ownership of your growth and actively seek feedback, improvement, and impact.

Your experience:

• 3-5 years of experience in Customer Success, Professional Services, or post-sales roles within a B2B SaaS environment
• 2-4 years of dedicated Enablement, readiness, or field enablement experience.
• Proven ability to build and maintain scalable enablement programs that drive behavior change and measurable business outcomes.
• Experience supporting Mid-Market and Enterprise post-sales teams.
• Strong familiarity with post-sales tooling such as Salesforce, Gainsight, Gong, or similar platforms.
• Experience working within an LMS or enablement platform, with WorkRamp experience a plus.
• Exposure to CMMS, industrial SaaS, or high-growth B2B environments is a plus.
• Bachelor’s degree in business, marketing, product, education, organizational development, or a related field is a plus.

What success looks like in the first 12 months:

• Clear post-sales execution standards are defined, documented, and reinforced through enablement.
• New post-sales hires ramp faster and more consistently across segments.
• Managers are equipped to coach effectively against defined competencies.
• Enablement programs show measurable impact on time-to-value, retention, and expansion metrics.
• Post-sales teams view enablement as a critical partner in their success.

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take what you need PTO.
• A Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
• We believe in meritocracy, where ideas and effort are publicly celebrated.

About us:

Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world.

We are hiring a Customer Success Enablement Manager to own the systems, skills, and standards that enable our post-sales teams including Customer Success and Professional Services to deliver consistent value, faster time-to-value, and measurable customer outcomes at scale. 

This role is not about running training sessions for the sake of it. It is about changing behavior and directly impacting retention, expansion, and long-term customer success.

Why this role matters:

As MaintainX scales, post-sales execution becomes increasingly complex. Customers span multiple sites, stakeholders, and industries, and expectations for value realization continue to rise.

We need a dedicated enablement individual who can:

• Define what “great” looks like across post-sales roles
• Translate strategy into repeatable, role-based execution
• Reduce customer time-to-value and employee ramp time
• Drive measurable improvements in retention, expansion, and Net Dollar Retention

This role sits at the intersection of Customer Success, Professional Services, Product, and Revenue Enablement and owns post-sales enablement strategy end-to-end, from definition through execution and measurement.

What you'll do:

• Design and deliver scalable enablement programs that build post-sales capabilities across the full customer lifecycle and journey. This includes, but is not limited to, customer relationship management, value-based conversations, onboarding and product adoption execution, structured consulting engagements, renewal readiness, expansion support.
• Establish and maintain role-based curricula and learning programs for Customer Success Managers and Implementation Consultants in partnership with CS, Professional Services, and Enablement leadership.
• Partner with the New Hire University Program Manager to support onboarding and everboarding programs that accelerate ramp time and continuously upskill tenured post-sales team members.
• Create, maintain, and evolve enablement and training resources for the post-sales organization, including playbooks, frameworks, methodologies, process guidance, and industry best practices.
• Equip Customer Success Managers with frameworks and tools to deliver effective Business Impact Reviews, articulate ROI, and lead value-based conversations tailored to customer personas, industries, and levels of seniority.
• Enable Implementation Consultants with structured guidance, tools, and best practices to deliver consistent, high-quality onboarding experiences and drive faster customer time-to-value.
• Provide one-on-one coaching, feedback, and targeted training to post-sales team members to strengthen customer interactions, technical confidence, and problem-solving effectiveness.
• Analyze performance data, customer outcomes, and call insights to identify knowledge and skill gaps and prioritize enablement initiatives across post-sales roles.
• Drive improvement in key post-sales outcomes such as Net Dollar Retention, churn reduction, expansion readiness, and onboarding effectiveness through focused, measurable enablement efforts.
• Gather and synthesize feedback from post-sales team members and managers to continuously evolve training content, resources, and coaching practices.
• Champion thoughtful adoption of AI-driven tools and insights to scale coaching, learning, and enablement effectiveness across the post-sales organization.
• Measure the impact of enablement programs using qualitative and quantitative inputs, iterating continuously to ensure programs deliver clear, measurable business results.

About you:

• You are a systems thinker who designs enablement for scale, not one-off training events.
• You are comfortable influencing senior stakeholders and driving alignment without formal authority.
• You have a deep understanding of how post-sales execution drives retention, expansion, and long-term customer value.
• You combine strong instructional design skills with a pragmatic, outcome-oriented mindset.
• You are highly organized, detail-oriented, and able to drive initiatives from concept through execution.
• You’re a builder, a collaborator, and a team player who thrives on making an impact
• You take ownership of your growth and actively seek feedback, improvement, and impact.

Your experience:

• 3-5 years of experience in Customer Success, Professional Services, or post-sales roles within a B2B SaaS environment
• 2-4 years of dedicated Enablement, readiness, or field enablement experience.
• Proven ability to build and maintain scalable enablement programs that drive behavior change and measurable business outcomes.
• Experience supporting Mid-Market and Enterprise post-sales teams.
• Strong familiarity with post-sales tooling such as Salesforce, Gainsight, Gong, or similar platforms.
• Experience working within an LMS or enablement platform, with WorkRamp experience a plus.
• Exposure to CMMS, industrial SaaS, or high-growth B2B environments is a plus.
• Bachelor’s degree in business, marketing, product, education, organizational development, or a related field is a plus.

What success looks like in the first 12 months:

• Clear post-sales execution standards are defined, documented, and reinforced through enablement.
• New post-sales hires ramp faster and more consistently across segments.
• Managers are equipped to coach effectively against defined competencies.
• Enablement programs show measurable impact on time-to-value, retention, and expansion metrics.
• Post-sales teams view enablement as a critical partner in their success.

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take what you need PTO.
• A Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values, Smart Humble Optimist.
• We believe in meritocracy, where ideas and effort are publicly celebrated.

About us:

Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

About the Company 

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. 

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. 

Meet the Team

As a Senior Machine Learning Engineer – Camera Models, you will develop and deploy machine learning models that power camera-based perception for autonomous trucks. The Camera Models team builds and maintains core vision systems that enable the autonomy stack to understand the environment, detect and localize objects, and estimate scene structure from camera data.

Working closely with teams across perception, data, and infrastructure, you will own the development and improvement of robust, scalable camera-based models that support safe and reliable autonomous driving in real-world freight environments.

This role focuses on owning model development for scoped problem areas, improving system performance through iteration, and delivering production-ready machine learning solutions within the autonomy stack.

What You’ll Do

• Design, develop, and deploy deep learning models for camera-based perception (e.g., object detection, segmentation, depth estimation, scene understanding)
• Own end-to-end model development for scoped areas, from data curation and training to evaluation and deployment
• Write production-quality ML code to support scalable training, evaluation, and inference pipelines
• Analyze model performance across diverse driving scenarios, identify failure modes, and improve robustness and generalization
• Contribute to and improve large-scale training pipelines, including dataset preparation, distributed training, and experiment tracking
• Partner with data teams to improve dataset quality, including labeling strategies and coverage of edge cases
• Collaborate with perception, simulation, and validation teams to evaluate and integrate models into the autonomy stack
• Improve tooling, workflows, and infrastructure to accelerate experimentation and model iteration
• Contribute to model architecture decisions and technical discussions within the team
• Mentor junior engineers on implementation, debugging, and best practices

What You’ll Need to Succeed

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 6+ years of industry experience, OR Master’s degree with 3+ years OR PhD with 1+ years of experience
• Experience developing and deploying deep learning models for computer vision or perception systems
• Strong programming skills in Python and PyTorch, with experience writing production-quality ML code
• Experience training and evaluating models using large-scale datasets and distributed compute environments
• Solid understanding of modern deep learning architectures used in perception (e.g., CNNs, transformers, multi-task models)
• Experience debugging model behavior, analyzing performance metrics, and improving model reliability
• Ability to translate ambiguous problems into structured ML solutions and deliver independently
• Experience collaborating cross-functionally to integrate ML models into larger autonomy or robotics systems

Bonus Points:

• Experience in autonomous driving, robotics, or simulation-based ML systems
• Experience with multi-task learning or unified perception architectures
• Experience with large-scale data pipelines, distributed training systems (e.g., Ray), or experiment management frameworks
• Familiarity with camera calibration, geometric reasoning, or 3D perception from images (e.g., BEV, monocular depth, structure-from-motion)
• Experience deploying ML models into production or real-world robotics systems

Work Location: For this position, we are open to hiring in either the Torc Montreal, Quebec (Canada) or Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States or Canada.

Perks of Being a Full-time Torc’r (Canada) 

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: 

• A competitive compensation package that includes a bonus component and stock options
• Medical, dental, and vision for full-time employees
• RRSP plan with a 6% employer match
• Public Transit Subsidy (Montreal area only)
• Flexibility in schedule and generous paid vacation
• Company-wide holiday office closures
• Life Insurance 

 At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

Job ID:  R-102584

About Behavox

Behavox is a cloud-native AI company providing an integrated controls platform for global banks, asset managers, hedge funds, private equity firms, insurance businesses, and commodity firms. The platform unifies communications and trade surveillance, compliant archiving, policy management as well as front-office analytics on a single, AI-native technology stack, delivered as a globally scalable SaaS-based cloud service.

At Behavox, our engineering culture is built around speed, experimentation, and technical excellence, following agile principles and rapid iteration. We constantly test and adopt the latest cloud technologies and AI tooling, optimising for fast feedback loops and execution. We look for people who can move fast, challenge conventional wisdom, and who want to work at the frontier of modern AI, SaaS platforms, and distributed systems.

Behavox is a high-performance organisation with a strong bias toward delivery, ownership, and responsibility. We commit, and we execute. We are building systems that are complex, mission-critical, and global in scale; systems that many consider too large or too difficult. To do that, we seek the smartest, most technically capable engineers and technologists who take end-to-end responsibility and want to win by building what others cannot.

Founded in 2014 and backed by SoftBank Vision Fund, Behavox is headquartered in London, with offices worldwide, including New York City, Montreal, Seattle, Singapore, and Tokyo.

About the Role

The Software Engineer (Java) operates at a senior engineer level, driving technical direction across core product domains. The role combines deep hands-on Java engineering with architectural ownership — from high-level system design and technology selection to leading delivery of critical, cross-cutting platform capabilities.

At this level, engineering excellence extends beyond implementation: the engineer determines the right approach to complex problems, communicates technical decisions across functions, participates in hiring, and is accountable for the long-term health of the systems they own. This level demands sound judgment on technology and business trade-offs and the ability to act as a technical lead. A defining expectation is mastery of AI-assisted engineering — leveraging agentic AI tools as force multipliers while retaining full ownership of architecture, quality, and technical outcomes.

What You'll Bring

• Expert Java engineering: Deep understanding of Java internals — GC tuning, Collections Framework, advanced concurrency (java.util.concurrent, multithreading), NIO/NIO2, performance profiling, and heap-dump analysis. Mastery of Spring Framework (IoC/DI, bean lifecycle, Spring Boot). SOLID principles, Clean Code practices, and GoF design patterns
• Software architecture and design patterns: Expertise in monolith and microservices architectural styles — including migration patterns and domain-driven decomposition. Inter-process communication design (REST, gRPC, messaging), transaction management in distributed systems (Sagas, 2PC), CQRS, Event Sourcing, and external API design focused on scalability, security, and documentation
• Cloud-native platforms and infrastructure: Experience designing high-availability and high-load systems on GCP (preferred), AWS, and Azure. Cloud security best practices: IAM, VPC, data encryption, JWT/JWS/JWE. Infrastructure as Code (Terraform or equivalent) and Twelve-Factor App methodology
• Observability, reliability and deployment: Implementing full observability stacks: structured logging, distributed tracing, metrics, and alerting. SLI/SLO/SLA frameworks. Deployment strategies: Rolling Updates, Blue/Green Deployments, Canary Releases
• AI-assisted engineering: Practitioner-level command of agentic AI tools applied to software engineering — encompassing prompt engineering techniques, AI context management and its limitations, sub-agents, skills and plugins, multi-agent orchestration, and team-of-agents architectures. Experience with Claude Code (Anthropic), Codex (OpenAI), or equivalent is mandatory

What You'll Do

• Architecture and technology leadership: Lead high-level design for complex, cross-service features. Evaluate and select appropriate technologies, frameworks, and architectural patterns before delegating implementation. Produce and maintain architecture documentation: design docs, ADRs, tech specs, and wiki pages
• Advanced Java feature implementation: Own and implement critical product components — including prototyping, architecture validation, and production-grade code. Ensure correctness, performance, and long-term maintainability with comprehensive test coverage (unit, integration, contract, component)
• Technical roadmap contribution: Drive the engineering agenda for assigned product areas. Proactively identify gaps in requirements, architectural limitations, and technical risks. Contribute to product roadmap planning and delivery estimation. Participate in hiring processes
• Cross-functional technical communication: Drive technical communication across engineering, product, DevOps, and ML teams. Communicate technical decisions clearly to non-technical stakeholders. Produce design documents and participate in tech talks and knowledge-sharing sessions
• AI-augmented engineering: Direct agentic AI tools (Claude Code, Codex, or equivalent) across the full engineering workflow — code generation, testing, refactoring, debugging, and documentation. Demonstrated ability to apply advanced prompt engineering, manage AI context limitations, compose multi-agent orchestration workflows, and critically evaluate AI-generated outputs for correctness, security, and quality. Ability to establish guardrails and improve agent configurations to raise the quality bar. AI proficiency amplifies — it does not replace — deep engineering judgment and technical accountability

What We Offer

• The opportunity to work on a global, mission-critical AI platform alongside the best engineers and technologists across multiple geographies
• A role with real ownership and impact, building complex systems at scale in an environment that values speed, experimentation, and technical excellence
• A highly attractive benefits package, including competitive cash compensation, an equity award aligned with long-term value creation, and comprehensive health insurance for employees and their families
• Modern, comfortable offices in Montreal/ Toronto downtown, with an expectation of working from the office 1 day per week, reflecting our belief in strong in-person collaboration, while remaining flexible to accommodate remote work for candidates who live in other Canadian cities
• A generous time-off policy of 30 days annually, plus public holidays and sick leave, recognising the importance of sustained high performance

About Our Process

Our selection process is designed to rigorously assess a candidate’s depth of technical knowledge, problem-solving ability, and alignment with Behavox’s mission and core values.

As part of the process, candidates will first participate in a series of interviews focused on evaluating their technical expertise and engineering judgment. Candidates who successfully progress through these interviews will then be invited to complete a live technical exercise. The purpose of this live technical assessment is to validate the candidate’s stated technical competencies and assess their ability to solve complex problems with speed, accuracy, and sound engineering judgment. Note that whenever possible, we aim to conduct interviews in person at our offices.

We recognise and respect the time candidates invest in this process. In return, Behavox commits significant time and resources to ensure that those who join us have the capability, judgment, and alignment required to operate at the speed and level of complexity our work demands. We value efficiency and clarity on both sides; if at any point we determine that a candidate is not a fit, we reserve the right to immediately conclude the interview or the technical assessment.

Please note the following:

• A core objective of the process is to objectively assess individual knowledge and competencies. The use of AI tools or external assistance during live interviews or technical exercises is strictly prohibited (unless explicitly instructed otherwise) and will result in immediate disqualification.
• Interviews and technical sessions may be recorded for internal review to support fairness, consistency, and collaborative decision-making within the hiring team.

About Behavox

Behavox is shaping the future for how businesses harness their most important raw material - data. Our mission is bold: Organize enterprise data into actionable information that protects and promotes the business growth of multinational companies around the world. 

From managing enterprise risk and compliance to maximizing revenue and value, our data operating platform presents a widespread opportunity to build multilingual, AI/ML-based solutions that activate data for every function within a global enterprise. 

Our approach is unique, and it’s validated by our customers who tell us to keep forging ahead because no one else is aggregating, analyzing, and acting on data to uncover opportunities or solve problems quite the way we are.

We are looking for fearless innovators who have an insatiable appetite for building what no one has built before. 

About the Role

The mission of the Customer Success team is to identify, enable, and facilitate continuous value generation for customers. Your key responsibilities include: ensuring zero churn by facilitating high ROI for your customers, and expanding your book of business through upsells. Customer Success Managers (CSMs) leverage strong business acumen to help customers craft their KPIs and deliver value across those business goals.

In this role, you’ll be responsible for the end-to-end coordination and execution of functional deliverables during the delivery stage, priming your customer for long-term success. Following go-live your primary focus will be on measuring success of the program and guiding the customer on best practices, engaging executive stakeholders and further penetrating the account. This is an exciting opportunity for the right talented professional to:

- Work with some of the World's largest, most prestigious financial institutions 
- Build strong foundations for our Customer Success team
- Drive ROI across a growing suite of cutting edge Machine Learning powered products

What You'll Bring

• A deep and genuine interest in Behavox as demonstrated by a connection to its mission, marketplace and/or technologies
  
• Knowledge of managing relationships with financial services companies, Enterprise, or large corporations - leading change management efforts and driving customer accountability
  
• Skilled at working with Enterprise, high touch, clients with a BoB of < 10 clients valued higher than $250k
  
• Skilled at identifying revenue opportunities, devising account plans, and negotiating expansion opportunities
  
• Skilled in clear and concise communication (written/spoken) with team members/internal stakeholders and external counterparts, especially at executive level.

What You'll Do

• EXPAND accounts and generate additional revenue within their book of business
  
• REDUCE churn and retain accounts by increasing customer satisfaction
  
• PRIORITIZE strategically to provide customer analysis and activity plans
  
• SOLVE problems whilst applying highly customer-centric practices
  
• WORK across departments (PMs, PMs, AE) to champion for clients

What We Offer

• A truly global mission with a passionate community in locations all over the world
  
• Huge impact and learning potential as our aspirations require bold innovation
  
• Highly competitive compensation 
• Benefits include fully covered health coverage for employee and family
  
• Generous time-off policy and flexible work schedule

About Our Process
We take Talent very seriously and we are building a community of extraordinary individuals working together in very high performing teams. We also know that the best Talent always has options so we believe that the process has to be a two way assessment - the company AND the candidate assessing the business needs alignment, the career next step alignment, and the cultural alignment.

During the process we will begin by exploring the core factors regarding salary and location along with core experience and skills and values alignment. We will then deep dive explore the critical technical competencies we have identified for the role, and then we will deep dive in behavioral competencies.

The most aligned candidate will then be asked to do a practical work task simulation activity so we can make sure that you will enjoy the kind of work the role requires, and this task will typically be presented and discussed with a group of colleagues and managers. Finally we will ask you to meet with a number of our senior leaders to make sure that you are making the most informed call possible.

Please note that:

• We want to get to know you and have a genuine conversation, so the use of AI tools or assistance during live interviews is strictly prohibited and will result in immediate disqualification from the process 
• Interviews may be recorded for internal review purposes to ensure fairness and enable collaborative hiring discussions within the team.

Opérations publicitaires, spécialiste des campagnes
Poste à temps plein
Montréal

À propos de Perion

Vous êtes-vous déjà demandé comment ces écrans extérieurs parviennent à diffuser des publicités qui semblent correspondre exactement à vos goûts et intérêts ? Cela s’appelle la publicité numérique extérieure (DOOH – Digital Out of Home) et elle est généralement rendue possible grâce à la technologie programmatique. C’est précisément ce que nous faisons. Perion a révolutionné l’avenir de notre industrie en développant une plateforme technologique publicitaire complète unique.

Côté achat, les annonceurs utilisent la plateforme DSP (Demand Side Platform) de Perion pour créer des campagnes mesurables qui activent les écrans DOOH en temps réel en fonction du comportement des consommateurs et des schémas de déplacement des audiences. Côté vente, les propriétaires de médias DOOH utilisent la plateforme SSP (Supply Side Platform), ainsi que l’Ad Server et le Header Bidder de Perion, pour gérer leur inventaire et générer des revenus.

La clé de notre succès réside dans notre incroyable équipe mondiale passionnée par le rose. Nous ne nous limitons pas aux modèles de travail traditionnels : nous sommes flexibles face au changement et nous n’avons pas peur de nous démarquer et de promouvoir de nouvelles idées. Ça vous intéresse ? Rejoignez-nous et ayez un réel impact sur les écrans numériques à travers le monde.

À propos de cette opportunité

Nous recherchons un(e) spécialiste des opérations publicitaires pour rejoindre notre équipe à Montréal et contribuer à la croissance du marché des Amériques. La personne retenue sera responsable de soutenir les annonceurs dans l’activation des inventaires DOOH via la plateforme DSP de Perion. Le/la candidat(e) idéal(e) est passionné(e) par la publicité programmatique et souhaite développer sa carrière en service client et en opérations publicitaires.

Comment vous aurez un impact

• Vous participerez à la configuration et au lancement précis des campagnes selon les objectifs, avec ciblage, accords (deals) et assignation des créations.
• Vous assurerez le suivi des performances, du rythme de diffusion (pacing), des rapports et de l’optimisation afin de garantir la livraison complète et l’atteinte des objectifs.
• Vous identifierez de manière proactive les problèmes de performance et les résoudrez ou les escaladerez si nécessaire.
• Vous développerez une connaissance approfondie du marché et des fonctionnalités de la plateforme afin de mieux soutenir les clients.
• Vous collaborerez avec différents départements pour améliorer et optimiser les stratégies, relever les défis techniques et faire évoluer le produit dans un environnement en constante évolution.

Évolution de carrière

• Vous aurez l’opportunité de grandir avec Perion, alors que le secteur DOOH programmatique se développe rapidement.
• Vous participerez à la révolution du trading DOOH programmatique et deviendrez un expert de cette technologie et des données associées.
• Perion vous formera aux différents formats et technologies, ainsi qu’à leur utilisation combinée avec les données de localisation pour cibler les audiences et mesurer les performances.
• En travaillant dans l’adtech, vous développerez une compréhension approfondie du fonctionnement des systèmes, des causes des problèmes et de leurs solutions.
• En collaborant avec des clients du monde entier, vous découvrirez différents marchés, développerez votre réseau et apprendrez à travailler avec plusieurs devises et fuseaux horaires.

Profil recherché

Le/la candidat(e) idéal(e) possède une bonne compréhension de l’écosystème mondial de la publicité numérique et se tient informé(e) des évolutions du secteur.

• Diplôme universitaire ou expérience professionnelle équivalente
• 1 à 2 ans d’expérience dans un rôle similaire, idéalement dans l’adtech, le DOOH ou l’analyse de données mobiles
• Bonne maîtrise d’Excel et de la suite Google ; Salesforce et Jira/Atlassian sont un atout
• Excellentes compétences en communication, avec capacité à s’adresser à des publics techniques et non techniques
• Proactivité naturelle et capacité à travailler de manière autonome dans un environnement en croissance rapide
• Capacité à travailler avec différents fuseaux horaires
• Sens de l’organisation, grande attention aux détails, esprit d’excellence et attitude positive
• Maîtrise de l’anglais (oral et écrit) requise pour collaborer avec une équipe et des clients internationaux ; le français est un atout

Ce que nous offrons

Notre réussite repose sur des relations humaines solides et durables. Nous valorisons la diversité des perspectives, qui a nourri certaines de nos meilleures idées. Rejoignez la révolution rose !

• Opportunités de développement personnel et professionnel dans une entreprise mondiale dynamique
• Petites équipes collaboratives avec un impact direct sur le produit et la culture

Avantages :

• Rémunération compétitive et avantages santé, incluant :
  • Assurance santé
  • Plateforme de soins virtuels
  • Allocation annuelle bien-être
  • Plateforme d’apprentissage et de développement
  • Contribution au REER
  • Vendredis flexibles
  • 3 jours personnels
  • Congés maladie illimités
  • Mode de travail hybride / à distance
  • Avantages supplémentaires pour le télétravail

Notre culture

Nos valeurs fondamentales reflètent qui nous sommes et comment nous travaillons ensemble :

• Les personnes avant tout – Nous nous soucions de nos partenaires et les uns des autres.
• Aller vite – Nous savons penser et agir rapidement en toutes circonstances.
• Avancer ensemble – Notre réussite repose sur la confiance mutuelle.
• L’innovation avant le confort – Nous expérimentons et prenons des risques calculés.

Perion s’engage à promouvoir un environnement de travail diversifié, équitable et inclusif. Nous sommes fiers d’être un employeur offrant l’égalité des chances.

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Ad Operations, Campaign Specialist 

Full Time Position

Montreal

About Perion

Have you ever wondered how those outdoor screens manage to deliver advertisements that seem to speak directly to your likes and interests? It’s called digital out of home advertising and it’s usually enabled by programmatic technology. That’s exactly what we do. Perion revolutionized the future of our industry by building our unique full stack ad tech platform.

On the buy side, marketers use Perion’s Demand Side Platform (DSP) to create measurable campaigns that activate DOOH screens in real time based on consumer behavior and audience movement patterns. On the sell side, DOOH media owners use Perion’s Supply Side Platform (SSP) & Ad Server and Header Bidder to manage inventory and drive revenue.

The key to our success has been our amazing pink-loving global team.  We don’t like to rest on traditional workplace models, we are flexible to change and we aren’t afraid to stand out and champion new ideas. Sounds interesting? Come join us and make a real impact on digital screens around the world.

About this opportunity

We are looking for an Ad Operations Specialist to join us in Montreal and help us keep growing the Americas market. This chosen candidate will be responsible for supporting advertisers to activate Digital Out of Home inventory through the Perion DSP. The ideal candidate is an individual who has a passion for programmatic advertising and is interested in pursuing their career  in Client Service and Ad Operations.

How You’ll Make an Impact

• You will accurately support set up and launch of campaigns based on objectives with applied targeting, deals and creative assignment.
• You will monitor performance/pacing, reporting and optimization to ensure full delivery and campaign objectives are met.
• You will proactively identify and address performance concerns or escalate for support with technical and operational challenges..
• You will develop a deep knowledge of our current market specifics and our platform functionality to better support our clients.
• You will collaborate with multiple business departments to develop, improve, and optimize our strategy to meet technical challenges and evolve our product in a rapidly changing environment.

Career Path

• You will have the opportunity to grow with Perion as the Programmatic DOOH sector and Perion rapidly expand.
• You will be part of the revolution of trading DOOH programmatically and become an expert around the technology, and data behind it.
• Perion will teach you about the different formats and tech used, and how those can be combined with location data to target messaging to audiences and demonstrate campaign performance .
• Because we build adtech, you’ll gain a deep understanding of how things work, why they break and how to fix them.
• With customers located all over the globe, you’ll learn how different countries work, grow your network of contacts, and experience the joy (and challenges) of working in multiple currencies and time zones.

What do you need to perform in this job

Our ideal candidate has an understanding of the global digital advertising landscape and is up to date with key industry changes and events. You are experienced with the application of programmatic trading and audience-based buying.

• Required for this role is a bachelor’s degree or equivalent professional working experience
• 1-2 years in a similar role preferably in the adtech Industry, across Digital OOH or Mobile data analytics
• Solid knowledge of Excel and G-suite, as well as Salesforce, Jira /Atlassian are nice to have
• Excellent communication skills with the ability to communicate product operations to both a technical and non-technical audience
• Known to be naturally proactive, with the ability to work autonomously in a fast-growing environment with all our global offices
• Able to handle working with different time zones
• Highly organized with a rigorous attention to detail, drive for excellence, and a positive "can-do" approach
• The role requires the chosen individual to be fluent in English (spoken and written) in order to support our global team and clients. French is an asset.

What We’ll Bring to the Table/What’s in it for you

Our success is defined by our ability to create strong, long-lasting human relationships. We value different perspectives because they’ve shaped some of our best ideas. Join us in the pink revolution!

• An opportunity to grow with a dynamic global company, personally and professionally
• Small collaborative teams where you can directly impact both product and culture

What we offer:

• Competitive compensation packages, health and wellness benefits including:
  • Healthcare package
  • Virtual healthcare platform
  • Annual wellness allowance
  • Learning and development platform
  • RRSP matching
  • Flexible Fridays
  • 3 personal days
  • Unlimited sick days
  • Hybrid/ remote work
  • Additional Work from home perks

Our culture

Our core values reflect the essence of who we are and how we work towards a common goal. Our core values are:

• People First - We are a business that cares. We care about our partners. We care about each other.
• Embrace the fast lane - As a group we are motivated by our ability to think and act quickly under all circumstances.
• Move as one - Our team of excellent achievers is a reflection of the faith and belief we all have in each other.
• Innovation over comfort - Innovate through experimentation and take calculated risks often

Perion is committed to fostering, cultivating and preserving a culture of diversity, equity and inclusion. Perion is a proud equal opportunity employer.

Meet the Team: 
As a Machine Learning Engineer II – Scene Model, you will help develop and deploy machine learning models that enable autonomous trucks to understand their surrounding environment. Our team focuses on building multi-modal perception systems in bird’s-eye-view (BEV) that fuse information from LiDAR, cameras, radar, and map inputs to produce a unified representation of the scene.  

Working closely with teams across perception, prediction, planning, and platform infrastructure, you will contribute to models that detect objects, understand road structure, and generate spatial temporal representations used by downstream autonomy systems.  

This role focuses on developing and improving deep learning models, training pipelines, and data workflows that power scene understanding within the autonomy stack. 

What You’ll Do 

• Develop and train machine learning models for scene understanding, including tasks such as object detection, road and lane prediction, semantic voxel grid classification, occupancy prediction, and map understanding in bird’s-eye-view (BEV) space. 

• Implement production-quality ML code to support model training, evaluation, and inference within the perception stack. 

• Analyze model performance, identify failure modes, and propose improvements to increase robustness across diverse driving environments and conditions. 

• Identify and interpret objects, lanes, obstacles, and weather conditions in the driving environment. 

• Apply data science techniques to analyze model performance, understand data distributions, and identify corner cases. 

• Contribute to multi-modal perception systems, combining signals from LiDAR, cameras, radar, and map sources into unified scene representations. 

• Work with large-scale datasets from simulation, fleet logs, and on-vehicle data to curate training data and improve model performance. 

• Collaborate with data, deployment, and infrastructure teams to evaluate perception models and ensure reliable performance in real-world driving scenarios. 

• Help integrate perception models into the autonomy stack and testing pipelines, enabling faster experimentation and iteration. 

• Contribute to tooling and infrastructure that improves training efficiency, experiment tracking, and reproducibility. 

• Participate in technical discussions around model architectures, sensor fusion strategies, and training approaches within the team.  

What You’ll Need to Succeed 

• Bachelor’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field with 4+ years of industry experience, or a Master’s degree with 2+ years of experience. 

• Strong understanding of computer-vision, and machine learning basics. 

• Experience applying machine learning techniques such as imitation learning, reinforcement learning, or sequence modeling to robotics, autonomous systems, or complex control environments. 

• Strong programming skills in Python and PyTorch, with experience writing production-quality ML code. 

• Experience training and evaluating machine learning models using large datasets and scalable compute environments. 

• Understanding of ML architectures used in autonomy systems, such as transformers, graph neural networks, or sequence models. 

• Experience debugging model behavior, analyzing performance metrics, and iterating on training pipelines. 

• Ability to collaborate with cross-functional teams to integrate ML models into larger software systems. 

• Good technical communication skills, written and verbal. 

• A positive team-player mindset.  

Bonus Points! 

• PhD in machine learning or data science. 

• Experience working in autonomous driving, robotics, or simulation-based training environments. 

• Experience with distributed training frameworks or large-scale ML infrastructure (e.g., Ray, Anyscale). 

• Experience working with simulation environments or large-scale behavior datasets. 

• Familiarity with vehicle dynamics, motion planning, or multi-agent decision-making systems. 

• Experience deploying ML models into production or real-world robotics systems. 

• Experience with multi-modal sensor fusion, including LiDAR, cameras, radar, or map inputs. 

• Experience working with BEV representations, occupancy grids, or 3D scene representations. 

Hiring Range for Job Opening  

US Pay Range 

$153,200 - $183,300 USD 

Job ID: 102517

About the Company 

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. 

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. 

Meet the Team: 

As a Staff Machine Learning Engineer specializing in BEV (Bird’s-Eye View) and Multi-Modal Perception, you will lead the development of next-generation models that unify information across cameras, LiDAR and radar to deliver a rich spatial understanding of the driving environment. 

You will drive architectural innovation, large-scale model training, and data-driven improvements that directly advance the perception capabilities at the heart of Torc’s autonomous driving stack. 

This is a technical leadership role focused on model innovation and maturity, not downstream feature integration. 

What You’ll Do 

• Lead BEV model development: Define and execute the technical roadmap for BEV-based perception models across multiple tasks (e.g., detection, segmentation, road topology, and scene understanding). 
• Design advanced multi-modal architectures that fuse heterogeneous sensor data (camera, LiDAR, radar, HD maps) into unified spatial representations.
• Develop foundational perception models leveraging BEV transformers, voxel-based encoders, or implicit scene representations.
• Own large-scale training workflows — from data sampling strategies and augmentation pipelines to distributed training and hyperparameter optimization.
• Advance model robustness and generalization, addressing long-tail conditions such as low visibility, occlusions, and rare scene configurations.
• Establish evaluation frameworks for geometric accuracy, temporal stability, and cross-domain transfer performance.
• Collaborate cross-functionally with sensor calibration, mapping, and fusion teams to ensure cohesive perception model interfaces.
• Mentor and guide ML engineers, cultivating best practices in experimentation, code quality, and model validation.
• Stay at the forefront of ML research, exploring self-supervised learning, large-scale pretraining, or foundation models for 3D perception. 

What You’ll Need to Succeed 

• 10+ years of experience in deep learning for perception, 3D vision, and/or autonomous systems
• M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or related field (or equivalent practical experience).
• Proven expertise in BEV modeling, 3D scene understanding, and multi-view fusion.
• Strong background in multi-modal sensor fusion, particularly integrating camera and LiDAR data.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Experience with large-scale data pipelines, distributed training, and experiment management systems.
• Demonstrated leadership in driving ML model innovation and mentoring technical teams. 

Bonus Points! 

• Experience with autonomous driving or robotics perception in production environments.
• Experience with MLOps and infrastructure tools (Ray)
• Hands-on expertise in BEV-based ML architectures, LiDAR-vision fusion, or spatial-temporal modeling.
• Familiarity with 3D labeling, calibration, and sensor simulation pipelines.
• Track record of publications or open-source contributions in top-tier venues (CVPR, ICCV, NeurIPS, ICRA, CoRL).
• Understanding of performance tradeoffs and deployment constraints (latency, memory, accuracy). 

Knowledge of English is required since the selected candidate will need to collaborate daily with English-speaking colleagues in the United States and work with technical documentation written exclusively in English. 

Work Location: For this position, we are open to hiring in either the Torc Montreal, Quebec (Canada) or Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States or Canada.

Perks of Being a Full-time Torc’r (Canada) 

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: 

• A competitive compensation package that includes a bonus component and stock options
• Medical, dental, and vision for full-time employees
• RRSP plan with a 4% employer match
• Public Transit Subsidy (Montreal area only)
• Flexibility in schedule and generous paid vacation
• Company-wide holiday office closures
• Life Insurance 

 At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

CAD Compensation Range: $209,300-313,800 CAD

Job ID: 102405

About the Company 

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. 

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. 

Meet the Team: 

As a Staff Machine Learning Engineer focused on Road & Lane Detection, you will lead the model development efforts that enable Torc’s autonomous vehicles to perceive and interpret road geometry, lane structures, and drivable surfaces with precision and robustness. 

You’ll define the next generation of deep learning architectures and data-driven approaches that extract high-fidelity road and lane semantics from multi-modal sensor data — driving critical improvements in perception accuracy, stability, and scalability. 

This is a technical leadership role focused on model innovation and maturity, not downstream feature integration. 

What You’ll Do 

• Own the model roadmap for Road & Lane Detection within the Model Dev ML org — from concept through production-grade model maturity. 

• Research, design, and train advanced neural architectures (e.g., multi-camera BEV transformers, LiDAR-vision fusion models, topological lane graph networks) to detect, segment, and model road structures and lane connectivity. 

• Lead data strategy for this domain — defining data curation, labeling policies, and active learning pipelines to capture long-tail scenarios (e.g., occlusions, complex merges, construction zones). 

• Develop robust metrics and evaluation frameworks for lane and road geometry accuracy, temporal consistency, and cross-domain generalization. 

• Advance foundational capabilities such as self-supervised pretraining, synthetic-to-real adaptation, and temporal modeling for road and lane understanding. 

• Drive large-scale experiments — designing, running, and analyzing results from distributed training workflows and ablations to identify scalable improvements. 

• Collaborate with other model dev/perception teams to ensure model coherence and interface consistency. 

• Mentor engineers and scientists, setting best practices for model training, evaluation, and code quality. 

• Stay ahead of the research frontier by evaluating and adapting emerging techniques (e.g., BEV-based large models, vectorized map prediction, lane graph transformers) to production-grade perception. 

What You’ll Need to Succeed 

• 10+ years of experience developing deep learning models for perception or computer vision at scale. 

• M.S. or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or equivalent experience). 

• Deep expertise in semantic and instance segmentation, BEV modeling, or scene topology estimation. 

• Strong understanding of lane and road geometry modeling, camera calibration, and sensor projection. 

• Proficiency with Python and modern ML frameworks (e.g., PyTorch, Lightning). 

• Experience with distributed training pipelines, experiment management, and large-scale dataset handling. 

• Proven leadership in guiding technical roadmaps, mentoring engineers, and driving measurable model improvements. 

Bonus Points! 

• Experience developing ML models for autonomous driving, mapping, or ADAS systems. 

• Familiarity with multi-modal fusion (camera, LiDAR, radar, HD maps). 

• Hands-on experience with BEV-based and topological prediction models. 

• Contributions to perception-related ML research (CVPR, NeurIPS, ICCV, ICLR, ICRA). 

• Strong intuition for data quality, bias mitigation, and uncertainty modeling. 

Work Location: For this position, we are open to hiring in either the Torc Montreal, Quebec (Canada) or Ann Arbor, MI (U.S.) office work locations in a hybrid capacity. We are also open to hiring Remote in the United States or Canada.

Perks of Being a Full-time Torc’r (Canada) 

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: 

• A competitive compensation package that includes a bonus component and stock options
• Medical, dental, and vision for full-time employees
• RRSP plan with a 4% employer match
• Public Transit Subsidy (Montreal area only)
• Flexibility in schedule and generous paid vacation
• Company-wide holiday office closures
• Life Insurance 

 At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

Hiring Range for Job Opening  

CAD Compensation Range:

$209,300-313,800 CAD

Job ID:  R-102402

MaintainX is the world’s leading mobile-first Asset and Work Intelligence platform for industrial and frontline environments. We’re a modern, IoT-enabled, cloud-based solution that powers maintenance, safety, and operations on physical equipment and facilities.

We help 12,000+ organizations—including Duracell, Univar Solutions, Titan America, McDonald’s, Brenntag, Cintas, Xylem, and Shell—achieve operational excellence and reliability at scale.

Following our $150 million Series D led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, MaintainX has raised a total of $254 million, valuing the company at $2.5 billion.

As we enter our next phase of growth, we’re investing deeply in AI/ML, LLMs, and Industrial IoT to transform how frontline teams operate—predicting failures before they happen, automating workflows, and embedding intelligence into every asset and procedure.

The Role

We are seeking a highly skilled and motivated Senior Applied Machine Learning Developer to guide the technical direction and architecture of our Predictive Maintenance and Asset Intelligence initiatives.

You’ll combine deep ML expertise with strong software development and leadership skills—mentoring developers, scaling systems, and driving the roadmap for AI-enabled maintenance intelligence across thousands of industrial sites.

This role sits at the intersection of ML architecture, IoT data systems, and product impact, shaping the foundation for MaintainX’s predictive and generative AI strategy.

What you’ll do:

• Lead technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across MaintainX products.
• Architect end-to-end ML systems—from data ingestion and feature development to model training, deployment, and monitoring.
• Mentor a growing team of ML and data developers, instilling best practices for experimentation, evaluation, and model lifecycle management.
• Partner with product and software development leaders to align AI roadmap with customer needs and business goals.
• Design reliable data and feedback loops that connect customer telemetry and operator feedback to model retraining.
• Drive performance optimization through techniques like quantization, distillation, and scalable inference serving.
• Work with LLM frameworks (LangChain, LlamaIndex, Hugging Face) to build reasoning systems and agentic workflows for asset and work intelligence.
• Ensure ML infrastructure meets production standards for latency, reliability, explainability, and security.

About you:

• 7+ years of experience in Machine Learning, Data Science, or Applied AI.
• Expertise in Python, and strong familiarity with PyTorch, TensorFlow, and cloud ML stacks (AWS, Databricks, or similar).
• Proven experience deploying production ML systems—not just prototypes—at scale.
• Strong background in LLMs, time-series modeling, and anomaly detection for real-world data.
• Demonstrated ability to lead architectural decisions, mentor developers, and collaborate across product, data, and platform teams.
• Knowledge of MLOps tooling (Docker, Kubernetes, Weights & Biases, MLflow, SageMaker).
• Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field preferred.

Bonus skills: 

• Experience with OCR for extracting structured data from documents.
• Background in time-series modeling for predictive maintenance and anomaly detection.
• Familiarity with Industrial IoT systems (sensors, telemetry, edge computing).
• Experience applying reinforcement learning or agentic architectures for decision-making and control systems.
• Contributions to open-source ML frameworks or research in reliability, explainability, or digital twins.

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take what you need PTO.
• A high impact Culture:
• You’ll work with Smart, Humble Optimists across the globe.
• Meritocratic environment where ideas and outcomes are publicly celebrated.

About us:

We exist to make the lives of frontline and maintenance teams easier by building software that meets their real-world needs. Our product transforms how 80% of the global workforce—those who don’t sit behind a desk—manage their operations, assets, and teams.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

About the Company 

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. 
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. 
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. 

Meet the Team

The mission of the Application Engine Team is to provide a robust, efficient, and flexible platform for integrating and managing various deep learning models and processes in the context of L4 autonomous trucking. It aims to streamline development workflows, enhance team efficiency, and ensure consistent performance and safety standards. The Application Engine focuses on facilitating the creation of scalable, reproducible, and safety-compliant components, enabling feature teams to efficiently develop and deploy advanced autonomous driving features.

What You’ll Do 

• Development of a processing pipeline SDK capable of spanning multiple distributed System on a Chips using Ethernet, PCIe, and similar to move data through different processing stages.
• Optimization of concurrent usage of resources (Memory, GPU) for parallel execution of trained models on a single System on a Chip
• Development of a runtime environment, which uses the App Engine SDK to deploy machine learning based virtual driver applications.
• SDK Feature development to support the creation of Virtual Driver Software
• Support Virtual Driver Division with their usage of the Application Engine
• Creation of high-quality code including test case development

What You’ll Need to Succeed 

• Experience with Embedded Software Development, especially with a focus on GPUs
• Experience with TensorRT and CUDA
• Experience in the development of real-time distributed systems
• Profound knowledge of C++ and state of the art design principles
• Familiarity with machine learning technologies (e.g. PyTorch)
• Experience with Linux
• Degree: Masters in Computer Science or Electrical Engineering

Bonus Points

• Experience developing SDK’s for complex embedded systems, especially those featuring GPUs or multiple SOCs.
• Experience in autonomous robotic or vehicle systems.
• Knowledge of computer architecture principles such as pipelining, memory hierarchy, locality, etc.

Perks of Being a Full-time Torc’r 
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:    
 

• A competitive compensation package that includes a bonus component and stock options 

• 100% paid medical, dental, and vision premiums for full-time employees 

• 401K plan with a 6% employer match 

• Flexibility in schedule and generous paid vacation (available immediately after start date) 

• AD+D and Life Insurance 

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. 
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

Job ID: 102580

We are seeking a senior distributed machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to solve difficult training and inference problems using very large models.

Key Responsibilities

• Collaborate with researchers to accelerate research, model training and inference, and facilitate the use of large-scale models in distributed computing environments.
• Investigate performance bottlenecks, profile research experiment code, debug reported issues, and optimize the utilization of computing resources.
• Develop tools and libraries to simplify and orchestrate the use of distributed computing resources for research experiments.
• Establish, document, and maintain best practices for large-scale, distributed ML model development workflows.

Skills and Qualifications

• A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required. An advanced degree (master’s or PhD) related to machine learning or distributed ML systems is preferred but not required if the candidate demonstrates exceptional abilities and experience.
• 3+ years of experience in designing and implementing distributed ML training frameworks, with recent experience using e.g. Megatron, DeepSpeed, HuggingFace Accelerate, FSDP, vLLM,  and/or verl.
• Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in ML and software development.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and workload managers (e.g., Ray, SLURM).
• Experience with GPU profiling tools (e.g. PyTorch profiler, PyProf, NVIDIA Nsight).
• Familiarity with containerization tools (e.g., gRPC, Docker, Kubernetes).
• Familiarity with data infrastructures and platforms (e.g., vector databases).
• A track record of contributing to high-quality research projects in deep learning.

The title of Engineer is used for reference purposes and may or may not be the official title of the applicant based on jurisdiction.

What we offer

• The opportunity to contribute to a unique mission with a major impact.
• Comprehensive health benefits (including mental health and wellness management account)
• 20 days of vacation per year upon start
• Employer contribution of 4% to your retirement savings, with no required employee matching
• Additional compensation totaling 8% of your salary to apply towards additional retirement savings or bonuses (independent of group and individual performance)
• A team of passionate world-class experts in their field
• A collaborative and inclusive work environment in our vibrant office space in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation

We are seeking a machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to solve difficult training and inference problems using very large models.

Key responsibilities

• Collaborate with researchers to accelerate research, model training and inference, and facilitate the efficient implementation of novel models and simulated environments.
• Design and implement workflows for research experiments across toy scenarios and large scale projects.
• Develop tools and libraries to optimize the use of computing resources.
• Establish, document, and maintain best practices for ML model development workflows.

Skills and qualifications

• A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required, along with an advanced degree (MSc or higher) in machine learning or equivalent work experience.
• 3+ years of industry experience in designing and implementing complex machine learning workflows on high performance computing devices using PyTorch, TensorFlow, or JAX.
• Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in ML and software development.
• Experience with cloud platforms (e.g., AWS, GCP, Azure).
• Familiarity with containerization tools (e.g., Docker, Kubernetes).
• Familiarity with data infrastructures and platforms (e.g., vector databases).
• A track record of contributing to high-quality research projects in deep learning.

What we offer

• The opportunity to contribute to a unique mission with a major impact.
• Comprehensive health benefits.
• A minimum of 20 days vacation per year upon start.
• A minimum retirement savings employer contribution of 4%.
• Generous flexible benefits designed to contribute to your well-being.
• A team of passionate experts in their field.
• A collaborative and inclusive work environment with offices in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation.

We are seeking a Machine Learning (ML) Research Scientist to join our team working on a novel AI safety agenda. In this role, you will design and implement innovative ML models aimed at solving advanced AI safety problems.

Key responsibilities

• Propose, design, and implement novel ML models tailored to solve complex AI safety problems.
• Collaborate with mathematicians and other specialized research scientists to integrate theoretical advancements into practical ML algorithms and models.
• Adapt and fine-tune existing frontier models to enhance their applicability to specific settings.
• Design and implement experimental protocols and evaluation frameworks to validate hypotheses and ensure robust and reproducible results, including at the scale and complexity of frontier models.
• Analyze and interpret experimental data in order to steer future research questions and objectives.
• Benchmark and optimize model performance and efficiency along with ML engineers to ensure the optimal usage of computing resources over the course of long experiments.
• Communicate findings and synchronize work with other researchers and engineers.

Required skills and qualifications

• Advanced degree in a relevant field (e.g., Computer Science, Mathematics). A PhD is preferred but not required if the candidate demonstrates exceptional abilities.
• 3-5 years of experience in deep learning research projects, in particular with frontier models.
• Proven experience in the training, adaptation, and/or fine-tuning of frontier models across a variety of complex scenarios that involve, for example, transfer learning, domain adaptation, or meta learning.
• Expertise in the integration and use of ML libraries such as PyTorch, TensorFlow, or JAX for the development, training, and evaluation of ML models, ideally in distributed computing environments.
• Strong experience in Python software development, in the use of version control, collaboration tools, and experiment management and tracking tools.
• Strong communication skills, both written and verbal, with the ability to exchange ideas with researchers across different disciplines.
• Ability to work collaboratively in a team environment while also being self-motivated and independent.

Preferred skills and qualifications

• Experience analyzing the behavior of frontier models in safety-critical contexts.
• Experience in the design and development of model alignment strategies or benchmarks.
• Experience with natural language processing or probabilistic graphical models.
• A track record of contributing to high-quality research projects in deep learning.

What we offer

• The opportunity to contribute to a unique mission with a major impact.
• Comprehensive health benefits.
• A minimum of 20 days vacation per year upon start.
• A minimum retirement savings employer contribution of 4%.
• Generous flexible benefits designed to contribute to your well-being.
• A team of passionate experts in their field.
• A collaborative and inclusive work environment with offices in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation.

We are seeking a Machine Learning (ML) Research Scientist to join our team working on a novel AI safety research agenda. In this role, you will develop and evaluate probabilistic inference methods, with a focus on amortized inference, translating theoretical insights into practical implementations.

Key responsibilities

• Develop amortized inference methods suitable for high-dimensional discrete and continuous distributions.
• Develop parameter- and structure-learning methods for large probabilistic graphical models that benefit from amortized probabilistic inference.
• Design evaluation strategies for methods that rely on probabilistic inference.
• Collaborate with mathematicians on theory related to learning and inference in probabilistic models.
• Translate theoretical proposals into high quality implementations in a programming language such as Python.
• Analyze and interpret experimental results to steer future research directions.
• Communicate complex findings effectively to various stakeholders.
  

Skills and qualifications

• Advanced degree in a relevant field (e.g., Computer Science, Mathematics). A PhD is preferred but not required if the candidate demonstrates exceptional abilities.
• A minimum of 3 years of experience in deep learning research.
• Expertise in probabilistic inference is required, in addition to expertise in one or more of the following:
  • Bayesian inference
  • Sampling-based approximate inference methods
  • Amortized inference methods (including variational inference methods or Generative Flow Networks)
  • Parameter- and/or structure-learning in probabilistic graphical models (including causal models)
  • Reinforcement learning
  • Optimal control
• Strong background in mathematics.
• Proven experience in developing and implementing machine learning models.
• Proficiency in programming languages such as Python, and experience with  ML frameworks like PyTorch or TensorFlow.
• Excellent analytical and problem-solving skills, with a demonstrated ability to think critically about complex systems.
• Strong communication skills, both written and verbal, with the ability to explain complex ideas to diverse audiences.
• Track record of contributing to high-quality research in probabilistic inference or related fields.
• Ability to work collaboratively in a team environment while also being self-motivated and independent.

What we offer

• The opportunity to contribute to a unique mission with a major impact.
• Comprehensive health benefits.
• A minimum of 20 days vacation per year upon start.
• A minimum retirement savings employer contribution of 4%.
• Generous flexible benefits designed to contribute to your well-being.
• A team of passionate experts in their field.
• A collaborative and inclusive work environment with offices in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation.

Nous recherchons un.e chercheur.se en apprentissage automatique (ML) pour rejoindre notre équipe travaillant sur un agenda de recherche novateur en sécurité de l'IA. Dans ce rôle, vous concevrez et implémenterez des modèles de ML innovants visant à résoudre des problèmes avancés en sécurité de l'IA.

Responsabilités principales 

• Proposer, concevoir et implémenter des modèles de ML novateurs adaptés à la résolution de problèmes complexes en sécurité de l'IA.
• Collaborer avec des mathématicien.ne.s et d'autres chercheur.se.s spécialisé.e.s pour intégrer les avancées théoriques dans des algorithmes et modèles ML appliqués.
• Adapter et affiner les modèles de pointe existants pour améliorer leur applicabilité à des contextes spécifiques.
• Concevoir et implémenter des protocoles expérimentaux et des cadres d'évaluation pour valider les hypothèses et garantir des résultats robustes et reproductibles, y compris à l'échelle et à la complexité des modèles de pointe.
• Analyser et interpréter les données expérimentales afin d'orienter les futures questions et objectifs de recherche.
• Évaluer et optimiser les performances et l'efficacité des modèles avec les ingénieur.e.s ML pour assurer l'utilisation optimale des ressources de calcul au cours de longues expérimentations.
• Communiquer les résultats et synchroniser le travail avec d'autres chercheur.se.s et ingénieur.e.s.

Compétences et qualifications requises

• Diplôme supérieur dans un domaine pertinent (ex. : Informatique, Mathématiques). Un doctorat est préférable mais non requis si le.la candidat.e démontre des capacités exceptionnelles.
• 3 à 5 ans d'expérience dans des projets de recherche en apprentissage profond (deep learning), en particulier avec des modèles de pointe.
• Expérience avérée dans l'entraînement, l'adaptation et/ou l'ajustement fin ("fine tuning") de modèles de pointe dans une variété de scénarios complexes impliquant, par exemple, l'apprentissage par transfert, l'adaptation de domaine ou le méta-apprentissage.
• Expertise dans l'intégration et l'utilisation de bibliothèques ML telles que PyTorch, TensorFlow ou JAX pour le développement, l'entraînement et l'évaluation de modèles ML, idéalement dans des environnements de calcul distribué.
• Solide expérience en développement logiciel Python, dans l'utilisation d'outils de gestion de version, d'outils de collaboration et d'outils de gestion et de suivi d'expériences.
• Solides compétences en communication, écrites et verbales, avec la capacité d'échanger des idées avec des chercheur.se.s de différentes disciplines.
• Capacité à travailler en collaboration au sein d'une équipe tout en étant autonome et indépendant.e.

Compétences et qualifications souhaitées

• Expérience dans l'analyse du comportement des modèles de pointe dans des contextes critiques pour la sécurité.
• Expérience dans la conception et le développement de stratégies ou de benchmarks d'alignement de modèles.
• Expérience avec le traitement du langage naturel ou les modèles graphiques probabilistes.
• Historique de contributions à des projets de recherche de haute qualité en apprentissage profond.

Ce que nous offrons

• L’occasion de contribuer à une mission unique avec un impact important.
• Des avantages santé complets.
• Un minimum de 20 jours de vacances dès l’embauche.
• Un contribution d'épargne retraite de l’employeur d'un minimum de 4%.
• Des avantages généreux et flexibles conçus pour contribuer à votre bien-être.
• Une équipe d’experts de leur domaine, des gens passionnés et passionnants.
• Un milieu de travail collaboratif et inclusif avec des bureaux au cœur de la Petite Italie, dans le quartier branché Mile-Ex à proximité des transports en commun.

Machine Learning Engineer – Biometrics (Computer Vision)

We’re looking for a Staff/Senior Machine Learning Engineer with deep expertise in computer vision and biometrics to lead the design and scaling of face recognition systems in production. You’ll build and train models, and own ML systems end-to-end on AWS. The final job level for this role will be determined following the interview process.

What You’ll Do

• Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition)
• Rigorous fairness analysis and benchmarking of biometric models across various datasets and operating conditions.
• Architect, train, and optimize models using PyTorch, Tensorflow, and/or JAX
• Own and evolve end-to-end ML pipelines, from data ingestion to deployment. Design automated pipelines (Airflow) for data ingestion and cleaning. You will be responsible for curating balanced training sets and generating synthetic data to address both quality and diversity gaps.
• Production Engineering: Own the path to production. Optimize models for low-latency inference (quantization, distillation, TensorRT/ONNX) and manage deployment on AWS.
• Mentor ML engineers, conduct code/design reviews, and drive technical best practices across the Computer Vision team.

What We’re Looking For

• Experience: 5+ years of industry experience in Machine Learning, with at least 3 years dedicated to Biometrics or Face Analysis.
• Deep expertise in computer vision and biometrics, especially face recognition.
• Fairness & Ethics: You understand the sources of algorithmic bias in Computer Vision and have practical experience measuring and mitigating disparate impact.
• Strong Engineering: Expert proficiency in Python (both machine learning and vision libraries such as Pillow, OpenCV, PyTorch, etc). You write clean, modular, production-ready code.
• Systems Architecture: Experience designing end-to-end ML pipelines (Data to Train to Deploy) and working with workflow orchestrators like Airflow.
• Cloud Native: Hands-on experience scaling training jobs on multi-GPU clusters and deploying services on AWS (SageMaker, EC2, EKS).

Nice to Have

• Research Publications: Papers in CVPR, ICCV, ECCV, or FG related to face recognition, image quality assessment, or fairness.
• Large Scale Search: Experience with vector databases (e.g., Milvus, Faiss) and approximate nearest neighbor (ANN) search algorithms.
• Familiarity with privacy, security, and compliance in biometric systems.
• Mobile/Edge Experience: Experience porting models to edge or mobile devices utilizing frameworks such as CoreML, LiteRT, and/or TFLite.
• Synthetic Data: Experience using GANs or diffusion models to generate synthetic faces for training.
• Strong communication skills.

Location: US or Canada
Type: US Applicants - Full-Time; Canadian Applicants - Independent Contractor

About Human Agency

We're scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth.

We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don't insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time.

Our clients' missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact.

Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down.

We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation.

And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same.

The Opportunity

We are seeking an exceptional Chief of Staff for our Managing Director of AI—someone who combines strategic vision in AI with hands-on execution and technological know-how. You'll be both a force-multiplier and a transformation architect: designing AI-enabled processes, building automated engines that run independently, leading organizational rollouts, and ensuring crisp execution across our AI solutions practice.

This role goes beyond traditional Chief of Staff responsibilities. You'll design processes that leverage AI, build repeatable systems that scale, and lead entire client transformations from discovery to sustained adoption. You have the potential to grow into leading organizational-level AI implementations as the practice expands.

Key Responsibilities

Strategic & Executive Leadership

• Partner with the Managing Director of AI and the executive team to translate priorities into sequenced plans, resourcing, and measurable outcomes
• Lead Human Agency's AI transformation methodology: define offerings, build repeatable frameworks, and establish best practices for AI-enabled workflows
• Design end-to-end processes that embed AI tools (LLMs, automation platforms, knowledge assistants) into client workflows and internal operations
• Translate complex AI capabilities into clear business cases, use cases, and implementation roadmaps for executive audiences
• Produce high-quality executive materials (briefings, roadmaps, decision memos) that drive alignment and decisions
• Identify where AI creates leverage across client engagements and surface strategic opportunities to leadership

AI Process Design & Automated Engines

• Design and build AI-powered systems that operate independently with minimal ongoing intervention—automated engines that scale beyond individual engagements
• Create repeatable processes for AI implementation: discovery frameworks, solution architectures, evaluation routines, and governance models
• Design prompts, playbooks, and knowledge bases optimized for reliability, consistency, and reusability across multiple clients
• Implement lightweight automation using no/low-code tools (Zapier, Make, Airtable) integrated with AI capabilities
• Establish monitoring and feedback loops that enable self-correcting, continuously improving systems
• Document patterns and best practices that can be deployed at scale

Client Service Delivery & Organizational Rollouts

• Own end-to-end delivery on multiple client engagements involving AI-enabled solutions (e.g., knowledge assistants, workflow automations, content summarization, research copilots), from discovery through launch and sustained adoption
• Lead company-wide and client-wide AI adoption initiatives—managing stakeholder alignment, training, governance, and measurement across entire organizations
• Run comprehensive discovery to surface use cases, success metrics, risks, change-management needs, and technical requirements; translate findings into scopes, timelines, and clear acceptance criteria
• Coordinate solution build-outs with internal teammates and external partners: data/connectivity needs, tool selection, integration planning, prompt engineering, and rollout choreography
• Design change-management approaches that address skill gaps, cultural resistance, workflow disruption, and organizational readiness
• Partner with client leadership to sequence rollout phases, manage dependencies, and demonstrate ROI

Quality, Governance & Evaluation

• Set lightweight evaluation routines: accuracy metrics, latency benchmarks, cost tracking, quality assurance processes, and continuous improvement cycles
• Establish prompt/playbook management, basic safety/guardrail checks, and UAT plans
• Build governance frameworks that enable responsible, scalable AI adoption across organizations
• Implement monitoring systems that track performance, usage, and business impact

Stakeholder Management & Enablement

• Lead standing client check-ins, executive presentations, demo readiness, decision logs, and release notes, presenting succinct options and recommendations
• Create comprehensive enablement materials: user guides, FAQs, training programs, and governance playbooks that empower client teams to operate AI systems independently
• Build lasting client relationships through proactive communication, anticipation of needs, and consistent delivery quality
• Present to executive audiences with clarity and confidence, addressing concerns about accuracy, security, and adoption

Operations & Project Management

• Design and continuously improve the operating system for AI work: intake → triage → prioritization → delivery → QA → launch → measurement
• Manage staffing assignments and subcontractor contributions across concurrent workstreams; keep tools current (Asana/Notion, Google Workspace, Slack)
• Budget & scope control: track time against SOWs, flag changes early, manage vendors, and ensure on-budget delivery with clear documentation
• Establish shared dashboards for delivery health (timeline, risk, burn, dependency status) and run tight meeting cadences

Communications & Reporting

• Prepare agendas, briefings, and executive-ready presentations; synthesize complex information into actionable insights
• Provide clear, timely reporting to the Managing Director of AI and stakeholders on progress, risks, and decisions
• Contribute to Human Agency's AI thought leadership through documentation of best practices, case studies, and insights

Who You Are

Experience & Skills

• 5-7+ years in operations, client services, product/program/project management, strategic support, consulting, or transformation roles with direct ownership of client-facing delivery
• Demonstrated success leading multi-stakeholder projects and organizational change initiatives end-to-end (scope, timelines, budgets, risk, and change management)
• Deep AI fluency: hands-on experience implementing LLM-enabled solutions, prompt engineering, workflow automation, and knowledge management systems; can shape prompts/playbooks, evaluate quality, and choose appropriate tools or vendors
• Strong understanding of AI capabilities and limitations, when to use AI, how to design for reliability, and how to manage risks responsibly
• Proven ability to design repeatable processes and systems that scale beyond individual projects
• Experience with no/low-code automation platforms (e.g., Zapier/n8n), knowledge bases, and modern AI tooling
• High proficiency with Google Workspace, Asana/Notion, Slack, and comfort with modern web and content tools; experience preparing polished executive documents and presentations
• Exceptional ability to translate complex technical concepts into clear business value for non-technical audiences
• Bonus: Experience leading organizational-level technology rollouts, background in management consulting, familiarity with responsible AI considerations (privacy, data handling, consent, bias mitigation), or experience in AI/ML product development

Mindset & Traits

• Builder and operator: You design systems that work without constant oversight, not just execute tasks
• Strategic and tactical: Comfortable setting vision while rolling up sleeves for hands-on implementation
• AI pragmatist: Excited about possibilities but grounded in what actually delivers measurable value
• Mission-driven; systems thinker with bias for action
• Clear, persuasive communicator who can influence executive stakeholders and earn trust through delivery
• Calm under pressure with excellent judgment about when to escalate vs. solve independently
• Able to hold strategic context while driving tactical execution across multiple concurrent engagements
• Intellectually curious with strong learning agility, you stay current on AI capabilities and translate findings into practical applications
• Comfortable operating in ambiguity and creating structure where none exists

Considerations

• Education: Bachelor's degree or equivalent experience; an advanced degree in business, technology, or a related field is a plus
• Ethics: Commitment to ethical practices and responsible AI (transparency, human oversight, privacy, bias mitigation)
• Travel: Regular (20–40%) for client activities, organizational rollouts, and events
• Location: Remote-friendly with preference for candidates in major tech hubs

Compensation

This role offers a competitive base salary with performance-based bonuses and potential equity participation. Final compensation will vary based on experience, performance, and location.

Why Join Human Agency

Join a team of thinkers and builders creating meaningful impact across sectors—with autonomy to lead, the resources to succeed, and room to grow. This role offers the opportunity to shape how organizations integrate AI at scale, with clear pathways to increased leadership responsibility as our practice expands.

Equal Opportunity Commitment

Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.

Shape the future of enterprise AI technology

Do you want to turn cutting-edge natural language processing into products impacting millions of users?

As a Senior II Applied Scientist on Coveo’s Knowledge AI team, you will help build the language technologies at the core of our generative artificial intelligence platform.

You’ll take on a technical leadership role, influencing our NLP vision while designing, evaluating, and deploying advanced solutions such as retrieval augmented generation pipelines, information retrieval, semantic search, question answering, and agentic systems, always with real-world constraints in mind.

As one of our Senior II Applied Scientists, you will:

• Design, develop, and optimize modern language-based artificial intelligence solutions, from data and modeling choices to evaluation strategies and production constraints.
• Apply and serve transformer-based language models at scale, delivering reliable, real-time experiences to enterprise users.
• Collaborate closely with machine learning developers and the machine learning platform team to accelerate research and innovation cycles.
• Act as a technical reference within the team, guiding architectural decisions and promoting best practices in applied science.
• Mentor applied scientists, supporting their growth and helping raise the overall level of expertise within the group.
• Contribute to research and development processes that foster efficiency, rigor, and a culture of applied science excellence.
• Share our innovations externally through technical blog posts, presentations, or other thought leadership content.

Here is what will qualify you for the role:

• A PhD, or a Master’s degree with equivalent research experience, in a relevant field such as machine learning, computer science, mathematics, or physics.
• At least 8 years of industry experience applying modern natural language processing techniques, including deep learning and large language models, to real-world systems at scale.
• Strong experience designing models and systems that balance performance, user experience, and production realities.
• Ability to deliver production-grade code that is well-tested, maintainable, and evaluated through rigorous experimentation.

What will make you stand out:

• Experience in a technical leadership capacity, including mentoring, hiring, roadmap definition, or scientific project planning.
• Research or applied experience in areas closely related to Coveo’s business, such as information retrieval, neural search, semantic search, or question answering.
• Exposure to more traditional lexical or linguistics-based natural language processing techniques.
• International work experience and a demonstrated ability to collaborate across cultures and perspectives.

Do you think you can bring this role to life? Or add your own color?
You don’t need to check every single box; passion goes a long way and we appreciate that skillsets are transferable.

Send us your application, we want to hear from you!

Join the Coveolife!

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.
Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.

Shape the future of enterprise AI technology

Do you want to turn cutting-edge natural language processing into products impacting millions of users?

As a Senior II Applied Scientist on Coveo’s Knowledge AI team, you will help build the language technologies at the core of our generative artificial intelligence platform.

You’ll take on a technical leadership role, influencing our NLP vision while designing, evaluating, and deploying advanced solutions such as retrieval augmented generation pipelines, information retrieval, semantic search, question answering, and agentic systems, always with real-world constraints in mind.

As one of our Senior II Applied Scientists, you will:

• Design, develop, and optimize modern language-based artificial intelligence solutions, from data and modeling choices to evaluation strategies and production constraints.
• Apply and serve transformer-based language models at scale, delivering reliable, real-time experiences to enterprise users.
• Collaborate closely with machine learning developers and the machine learning platform team to accelerate research and innovation cycles.
• Act as a technical reference within the team, guiding architectural decisions and promoting best practices in applied science.
• Mentor applied scientists, supporting their growth and helping raise the overall level of expertise within the group.
• Contribute to research and development processes that foster efficiency, rigor, and a culture of applied science excellence.
• Share our innovations externally through technical blog posts, presentations, or other thought leadership content.

Here is what will qualify you for the role:

• A PhD, or a Master’s degree with equivalent research experience, in a relevant field such as machine learning, computer science, mathematics, or physics.
• At least 8 years of industry experience applying modern natural language processing techniques, including deep learning and large language models, to real-world systems at scale.
• Strong experience designing models and systems that balance performance, user experience, and production realities.
• Ability to deliver production-grade code that is well-tested, maintainable, and evaluated through rigorous experimentation.

What will make you stand out:

• Experience in a technical leadership capacity, including mentoring, hiring, roadmap definition, or scientific project planning.
• Research or applied experience in areas closely related to Coveo’s business, such as information retrieval, neural search, semantic search, or question answering.
• Exposure to more traditional lexical or linguistics-based natural language processing techniques.
• International work experience and a demonstrated ability to collaborate across cultures and perspectives.

Do you think you can bring this role to life? Or add your own color?
You don’t need to check every single box; passion goes a long way and we appreciate that skillsets are transferable.

Send us your application, we want to hear from you!

Join the Coveolife!

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.
Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.

Director of Financial Business Operations - Trading

Reports To: VP, Finance (or equivalent Lead)

Location: Montreal, QC (Hybrid)

About us

Broadsign is a growing software company with a mission to make buying, selling, and delivering out-of-home media easier than ever. Our software is operated by some of the most successful out-of-home businesses and powers impactful, compelling campaigns seen across the world.

About the role

The Director of Financial Business Operations - Trading owns the financial lifecycle of our Trading (programmatic) DOOH business. This is a highly cross-functional role that bridges the gap between Finance and other departments, including AdOps, Sales, and Legal, ensuring that every transaction—from insertion order to final invoice—is executed with precision, margin integrity, and operational efficiency.

What to expect

Revenue & Billing Integrity You will oversee the end-to-end billing process for programmatic DOOH, reconciling data between DSP/SSP platforms and internal systems. You will be responsible for validating margins, identifying revenue leakage, and ensuring accurate revenue recognition. Additionally, you will manage complex commission calculations and incentive tracking for trading personnel.

Strategic Commercial Partnership As a primary finance voice in commercial forums, you will review deal structures and contracts to assess margin impact and tax exposure. You will translate complex operational workflows into clear financial implications, helping the business scale safely by escalating risks early.

Process Automation & Systems Leadership You will drive the automation roadmap for revenue operations, leading system improvements across ERP and billing platforms. By defining data governance standards while implementing and tracking KPIs, you will provide leadership with deep insights into geographic and industry performance drivers.

What you need to perform in this job

• Experience: 6–10 years of experience blending accounting, revenue operations, and operational finance.
• Industry Knowledge: Hands-on experience with programmatic media economics and DOOH workflows.
• Technical Skills: Strong systems orientation with a focus on data governance and ERP/billing automation.
• Soft Skills: Ability to influence without formal authority and remain credible in front of Sales leadership.

What we bring to the table

• Comprehensive Benefits: 100% employer-paid insurance plan (health, dental, vision, travel).
• Health & Wellness: $500 annual HCSA and $500 annual Wellness fund.
• Retirement: Group RRSP with 50% matching up to 4% of salary.
• Work-Life Balance: Minimum 3 weeks vacation plus 5 floater and 5 sick days.
• Family First: Enhanced parental leave top-up (up to 23 weeks for maternity).
• Growth: Yearly training budget and professional development support.

At Broadsign, we value the varied social identities that make up our community. We recognize talent comes in different forms and encourage applications that reflect different backgrounds and experiences. Our promise is to be an inclusive employer and partner, open to learning, with thoughtful strategies and practices that amplify the different voices of our industry.

Knowledge of French is required for positions permanently located in Quebec so incumbents can communicate with their colleagues and partners in Quebec as necessary. French-language training is offered to all incumbents in permanent positions in Quebec who do not have a good knowledge of French. Fluent English is required for this position in order to communicate with colleagues, clients and partners (or suppliers) located outside Quebec and to understand the technical and scientific documentation used in our industry.

Technical Enablement Specialist

Reports To: VP, Services

Location: Montreal, QC /(Hybrid: work from home or the office, your choice)

About us

Broadsign is a growing software company with a mission to make buying, selling, and delivering out-of-home media easier than ever. Our software is operated by some of the most successful out-of-home businesses and powers impactful, compelling campaigns seen across the world.

About the role

The Technical Enablement Specialist, part of the Services Department, is a critical, multi-faceted role responsible for accelerating business growth and operational efficiency by bridging product gaps through custom technical solutions. This individual leverages deep expertise in APIs, scripting, and development to build bespoke client integrations, deploy non-productizable applications, automate internal service processes, and lead technical training initiatives across Broadsign, directly impacting customer success and internal team scalability.

What to expect

Internal Training & Onboarding

• Curriculum Design: Develop and maintain a rigorous onboarding program for Services roles (Support Specialist, Technical Specialists, Product Specialists, Technical Account Managers and Programmatic Technical Specialists)
• Continuous Learning: Participate in Product review and lead "Level Up" sessions on new product features, advanced troubleshooting, and emerging industry trends.
• Knowledge Management: Maintain a searchable internal knowledge base to ensure technical "tribal knowledge" is documented and accessible.

External Training & Certification Program

• Certification Roadmap: Design and manage a tiered external certification program that validates the expertise of our partners and customers.
• Content Creation: Produce high-quality external-facing technical labs, video tutorials, and assessment exams.
• LMS Administration: Manage the Learning Management System (LMS) to track external user progress, badge issuance, and program ROI.

Services Strategy & Operational Efficiency

• Leadership Partnership: Collaborate with the VP/Directors of Services to pinpoint new service offerings or address existing operational shortcomings, thereby enabling the Services team to scale effectively in support of Broadsign's growth objectives.
• Process Optimization: Collaborate closely with the VP and Directors of Services to ensure all Services team members comply with and adhere to documented and maintained standard operating procedures (SOPs). You will also be responsible for documenting and maintaining SOPs.
• Data-Driven Enablement: Collaborate with the VP/Directors of Services to establish, define, and oversee key performance indicator (KPI) reporting for the Services team. This involves working with the internal Data Services team to develop and build the necessary reports.
• AI-Assistance Tool Optimization and Content Improvement: Monitor and analyze the performance of the customer-facing AI-Assistance tool. This involves reviewing customer feedback, defining necessary actions for improvement (e.g., enhancing efficiency and accuracy), and either creating new knowledge base articles or collaborating with the Product Documentation team to update and improve existing customer-facing content.

What you need to perform in this job

• Experience in the adtech industry
• 3-5+ years of experience in a technical role (Sales Engineer, Consultant,  Technical Trainer or Technical Enablement Specialist) 
• Proven track record of creating educational content that is engaging, not just informative. You know how to explain complex concepts to a beginner. As an international company, being able to use technology to provide multilingual content is essential.
• Successfully created and managed an external certification program, achieving a high rate of participation.
• Analyze business operations to identify inefficiencies, then define, implement, and/or oversee solutions for process improvements.
• Proficiency in utilizing Learning Management Systems (LMS) like Absorb LMS and Customer Relationship Management (CRM) tools like Salesforce is essential. Additionally, experience with content creation tools is required.
• Experience with Salesforce Agentforce or equivalent AI productivity tools is a significant plus.

What we bring to the table

• Retirement Savings: Group RRSP with a 50% employer matching up to 4% of your salary.
• Wellness: $500 annual Wellness fund for mental/physical health and office-related expenses.
• Comprehensive Benefits: Complete company insurance plan (health, dental, vision, travel) effective from day one (100% employer-paid). $500 annual Health Care Savings Account (HCSA) for additional health-related expenses.Unlimited access to the virtual healthcare platform (Telus Health).
• Paid Time Off: Minimum 3 weeks vacation, 5 floater days, 5 sick/personal days, and 2 volunteer days.
• Financial Perks: Transportation reimbursement for travel to a Broadsign office.
• Family Support: Parental leave salary supplement.
• Growth Opportunities: Training & development opportunities with a yearly budget to support professional growth, 3 paid training days per year.

At Broadsign, we value the varied social identities that make up our community. We recognize talent comes in different forms and encourage applications that reflect different backgrounds and experiences. Our promise is to be an inclusive employer and partner, open to learning, with thoughtful strategies and practices that amplify the different voices of our industry.

Knowledge of French is required for positions permanently located in Quebec so incumbents can communicate with their colleagues and partners in Quebec as necessary. French-language training is offered to all incumbents in permanent positions in Quebec who do not have a good knowledge of French.

Fluent English is required for this position in order to communicate with colleagues, clients and partners (or suppliers) located outside Quebec and to understand the technical and scientific documentation used in our industry

Campaign Manager – Programmatique & Paid Social 
_{📍 Montréal – Temps plein} 

À propos de Perion & Outmax

Outmax est la solution d’optimisation média basée sur l’IA de Perion, conçue pour apporter intelligence, transparence et performance à la publicité digitale. Grâce à une intelligence artificielle avancée, Outmax améliore les achats média sur les principales plateformes telles que Meta, YouTube, TikTok, Snapchat et les DSP programmatiques.

En combinant technologie de pointe et expertise média approfondie, Perion aide les grandes marques à simplifier l’exécution des campagnes, réduire les inefficacités de la chaîne de valeur média et générer une performance plus intelligente et durable à grande échelle.

Aperçu du poste

En tant que Campaign Manager, vous rejoindrez l’équipe Opérations de Perion et jouerez un rôle clé dans le lancement et le développement de nos capacités de trading média en Amérique du Nord. Il s’agit d’un nouveau poste basé à Montréal, offrant une forte autonomie et un impact direct.

Vous serez responsable de la gestion de bout en bout de campagnes digitales à fort impact sur des plateformes programmatiques et paid social, en collaboration étroite avec les équipes internes (Sales, Product, Tech) ainsi qu’avec des parties prenantes internationales.

Responsabilités principales

• Mettre en place, activer et gérer des campagnes média sur des plateformes paid social et programmatiques (Meta, TikTok, Snapchat, YouTube, DV360, etc.)
• Suivre les performances des campagnes en temps réel et optimiser selon les objectifs clés : performance, marge, pacing et diffusion
• Analyser les principaux KPI média (CPM, CPC, CPA, CTR, VTR, ROAS, etc.) et fournir des insights clairs et actionnables
• Produire des rapports de performance et des recommandations pour les équipes internes et les clients
• Collaborer étroitement avec les équipes Sales et Product pour soutenir la stratégie, l’innovation et les retours produit
• Contribuer à la structuration des meilleures pratiques et des processus à mesure que le hub de Montréal se développe
• Participer à des projets internationaux et à des initiatives transverses

Profil recherché

Expertise technique & média

• 2+ ans d’expérience en trading média, achat programmatique ou paid social
• Solide expérience pratique des plateformes paid social (Meta obligatoire ; TikTok et Snapchat fortement souhaités)
• Bonne compréhension des environnements d’achat programmatique (DV360 ou autres DSP)
• Excellente maîtrise des KPI média et des logiques d’optimisation
• Maîtrise avancée d’Excel / Google Sheets (tableaux croisés dynamiques, formules, analyses)
• À l’aise dans un environnement orienté données et performance

Soft skills

• Très analytique et rigoureux(se)
• Autonome, proactif(ve) et structuré(e)
• Capacité à gérer plusieurs campagnes et priorités simultanément
• Esprit curieux avec un fort intérêt pour l’IA, l’ad tech et l’innovation
• Excellentes compétences en communication dans un contexte international
• Anglais requis. Le français est un atout important.

Ce que nous offrons

• Un rôle stratégique pour lancer et structurer une nouvelle présence à Montréal
• Une exposition à une technologie média innovante basée sur l’IA (Outmax)
• Un environnement international, dynamique et entrepreneurial
• Une collaboration étroite avec des équipes globales en EMEA et en Amérique du Nord
• Un package de rémunération compétitif selon l’expérience et le profil

Job Opening: Campaign Manager– Programmatic & Paid Social 

📍 Montreal – Full-time

About Perion & Outmax

Outmax is Perion’s AI-powered media optimization solution, designed to bring intelligence, transparency, and performance to digital advertising. Leveraging advanced artificial intelligence, Outmax enhances media buying across major platforms such as Meta, YouTube, TikTok, Snapchat, and programmatic DSPs.

By combining cutting-edge technology with deep media expertise, Perion helps leading brands simplify campaign execution, reduce inefficiencies across the media value chain, and drive smarter, more sustainable performance at scale.

Role Overview

As a Campaign Manager you will join Perion’s Operations team and play a key role in launching and scaling our media trading capabilities in North America. This is a new position based in Montreal, offering strong autonomy and direct impact.

You will be responsible for the end-to-end management of high-impact digital campaigns across programmatic and paid social platforms, working closely with internal teams (Sales, Product, Tech) and international stakeholders.

Key Responsibilities

• Set up, activate, and manage media campaigns across paid social and programmatic platforms (Meta, TikTok, Snapchat, YouTube, DV360, etc.)
• Monitor campaign performance in real time and optimize toward key objectives: performance, margin, pacing, and delivery
• Analyze core media KPIs (CPM, CPC, CPA, CTR, VTR, ROAS, etc.) and provide clear, actionable insights
• Produce performance reports and recommendations for internal teams and clients
• Collaborate closely with Sales and Product teams to support strategy, innovation, and product feedback
• Contribute to the structuring of best practices and processes as the Montreal hub grows
• Participate in international projects and cross-market initiatives

Profile

Technical & Media Expertise

• 3+ years of experience in media trading, programmatic buying, or paid social
• Strong hands-on experience with paid social platforms (Meta mandatory; TikTok, Snapchat strongly preferred)
• Solid understanding of programmatic buying environments (DV360 or other DSPs)
• Deep knowledge of media KPIs and optimization logic
• Advanced proficiency in Excel / Google Sheets (pivot tables, formulas, analysis)
• Comfortable working in a data-driven, performance-oriented environment

Soft Skills

• Highly analytical and detail-oriented
• Autonomous, proactive, and structured
• Ability to manage multiple campaigns and priorities simultaneously
• Curious mindset with a strong interest in AI, ad tech, and innovation
• Strong communication skills in an international context

English required. French is a strong plus.

What We Offer

• A strategic role in launching and shaping a new market presence in Montreal
• Exposure to cutting-edge AI-driven media technology (Outmax)
• A fast-growing, international, and entrepreneurial environment
• Close collaboration with global teams across EMEA and North America
• Competitive compensation package based on experience and profile

About the Company   

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.   
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.   
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.    

Meet The Team:    

Torc is marching towards its AV 3.0 strategy. Simulation and Data Generation are key elements towards autonomous trucking. The team builds the sensor simulation based on Neural Rendering and Generative models for Torc’s data-driven simulator. High-quality data from novel scenarios close the domain data gap, solving one of the biggest challenges for safe autonomous driving.  The team works on state-of-the-art approaches for Neural Rendering and data generation for camera, LiDAR, and Radar sensor data, that contributes to the Torc’s data workflow for training and validation across the complete AV stack.   

What You’ll Do:    

• Implement the latest research advances in Neural Rendering and generative models 
• Translate cutting edge solution in the domain of autonomous driving for high-quality Camera, LiDAR and Radar sensor simulations 
• Support implementing a neural rendering framework that allows to scale perception simulation and AV 3.0 training 
• Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks  
• Own development projects in the team – From research, design, to implementation, testing and deployment 
• Design, implement, test and deploy shippable production quality software starting from early prototypes using disciplined software development processes.
• Work in the cloud machine learning ecosystem alongside other machine learning services existing in the company.
• Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. 
• Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution, coaching and mentoring as needed.   

What You’ll Need to Succeed:    

• Proficiency in Python and deep learning frameworks such as PyTorch. 
• PhD or equivalent work experience of 6+ years in relevant fields (CS, Robotics, Electrical Engineering) with industry experience in shipping production software. 
• Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching). 
• Background in Computer Graphics, 3D Reconstruction, or 3D Computer Vision. 
• Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.   
• Experience with VDI and cloud based machine learning development environments.
• Expected to drive alignment across team interfaces to the rest of the organization.  
• Designs, maintains and owns team technical solutions and drives consensus.   
• Mentors and guides engineers within the group.    

Bonus Points!  

• Experience with autonomous driving or robotics perception in production environments. 
• Proficiency with CUDA programming for efficient rendering of large-scale scenes 
• Publications in top-tier CV/AI/Graphics conferences (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, SIGGRAPH) or journals 
• Experience with MLOps and infrastructure tools (Ray) 
• Familiarity with 3D labeling, calibration, and sensor simulation pipelines.  
• Handling of Autonomous Driving Sensors – Multiple timestamp, multiple sensor data from cameras, lidars, and radars  

Perks of Being a Full-time Torc’r   
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:     

• A competitive compensation package that includes a bonus component and stock options 
• 100% paid medical, dental, and vision premiums for full-time employees  
• 401K plan with a 6% employer match  
• Flexibility in schedule and generous paid vacation (available immediately after start date) 
• AD+D and Life Insurance   

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.  
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.  

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

US Base Pay Range:

$177,300 - $234,000

Job ID: R-102432

About the Company   

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.   
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.   
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.    

Meet The Team:    

Torc is marching towards its AV 3.0 strategy. Simulation and Data Generation are key elements towards autonomous trucking. The team builds the sensor simulation based on Neural Rendering and Generative models for Torc’s data-driven simulator. High-quality data from novel scenarios close the domain data gap, solving one of the biggest challenges for safe autonomous driving.  The team works on state-of-the-art approaches for Neural Rendering and data generation for camera, LiDAR, and Radar sensor data, that contributes to the Torc’s data workflow for training and validation across the complete AV stack.   

What You’ll Do:    

• Implement the latest research advances in Neural Rendering and generative models 
• Translate cutting edge solution in the domain of autonomous driving for high-quality Camera, LiDAR and Radar sensor simulations 
• Support implementing a neural rendering framework that allows to scale perception simulation and AV 3.0 training 
• Integrate the framework in a cloud environment and automate the pipeline to allow scaling for the target verification and validation of our autonomous trucks  
• Own development projects in the team – From research, design, to implementation, testing and deployment 
• Design, implement, test and deploy shippable production quality software starting from early prototypes using disciplined software development processes.
• Work in the cloud machine learning ecosystem alongside other machine learning services existing in the company.
• Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. 
• Demonstrate project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution, coaching and mentoring as needed.   

What You’ll Need to Succeed:    

• Proficiency in Python and deep learning frameworks such as PyTorch. 
• PhD or equivalent work experience of 6+ years in relevant fields (CS, Robotics, Electrical Engineering) with industry experience in shipping production software. 
• Proven expertise in Neural Rendering (Neural Radiance Fields and 3D Gaussian Splatting) and generative models (Diffusion Models, Flow Matching). 
• Background in Computer Graphics, 3D Reconstruction, or 3D Computer Vision. 
• Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment.   
• Experience with VDI and cloud based machine learning development environments.
• Expected to drive alignment across team interfaces to the rest of the organization.  
• Designs, maintains and owns team technical solutions and drives consensus.   
• Mentors and guides engineers within the group.    

Bonus Points!  

• Experience with autonomous driving or robotics perception in production environments. 
• Proficiency with CUDA programming for efficient rendering of large-scale scenes 
• Publications in top-tier CV/AI/Graphics conferences (CVPR/ECCV/ICCV, NeurIPS/ICLR/ICML, SIGGRAPH) or journals 
• Experience with MLOps and infrastructure tools (Ray) 
• Familiarity with 3D labeling, calibration, and sensor simulation pipelines.  
• Handling of Autonomous Driving Sensors – Multiple timestamp, multiple sensor data from cameras, lidars, and radars  

Perks of Being a Full-time Torc’r   
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:     

• A competitive compensation package that includes a bonus component and stock options 
• 100% paid medical, dental, and vision premiums for full-time employees  
• 401K plan with a 6% employer match  
• Flexibility in schedule and generous paid vacation (available immediately after start date) 
• AD+D and Life Insurance   

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.  
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.  

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

US Base Pay Range:

$160,800 - $212,300

Job ID: R-102432

About the Company 

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. 
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. 
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

Meet The Team:  

Pseudo-Labeling team's goal is to create high quality annotations on sensor data (images, point clouds). The annotations include 2D, 3D bounding boxes, classes, trajectories, lane lines, segmentations, depths etc. The annotations are then used by different downstream users, for example, perception teams use it to train various models and simulation teams use it for generating new data. 

What You’ll Do:  

• Design, implement, test and deploy offline object detection, tracking and fusion modules to automatically create annotations on Cloud Services from logged sensor data (Cameras, Lidars, Radars)
• Demonstrated project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution. 
• Stay up to date with the latest developments in AI and ML for autonomous driving.
• Independently develop offline perception models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control, and maintaining 
• Documentation of created applications. 
• Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows. 
• Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. 
• Measure and track auto labeling quality to meet internal customer requirements.
• Guide and produce information products, supporting visualization and data accessibility in a customer-centric manner. 
• Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety. 
• Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes.  
• Provides technical guidance or business process expertise, technical leadership, coaching and mentoring to team members.  

What You’ll Need to Succeed:  

• Considered highly skilled and proficient in discipline; conducts complex, important work under minimal supervision and with wide latitude for independent judgment. 
• Scope of Influence: Expected to drive alignment across team interfaces to the rest of the organization. Designs, maintains and owns team technical solutions and drives consensus.  Mentors and guides engineers within the group.  
• Bachelor’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 6+ years of experience OR;  
• Master’s Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 3+ years of experience OR; 
• Doctorate Degree in Computer Science, Robotics, Electrical Engineering or related technical field plus demonstrates competences and technical proficiencies typically acquired through 1+ years of experience. 
• Required Qualifications (some combination of the following skills):    
  • Active Learning & Pseudo-labeling - Computer Vision, Deep Learning, Model training.
  • Two of the following: 2D/3D Object Detection, Tracking, Sensor Fusion, Semantic Segmentation, SLAM, BEV.
  • Scaled ML Operations (MLOps) and Tooling – ML Frameworks, experiment tracking, model registry, MLFLow, Weights and Biases, ML Metrics and Evaluation / Quality. 
  • Distributed machine learning frameworks - PyTorch, Lightning, Ray. 
  • Model Data Curation - Parquet data processing (PyArrow, Daft, Pandas, etc). 
  • Development Tools & Eco-System (at scale) - Proficiency in Python software development. Also, VDI and cloud-based development environments, CI Systems (GitHub Actions), and Docker.  

Bonus Points! 

• Data operations and management at scale - Schema design, AWS storage and processing infra, vector databases / LanceDB, file formats (MCAP, parquet, etc). 
• Data Visualization - Integration with tooling such as OpenGL, 3.js, foxglove, 51, tableau. 
• Cloud Development – Python (proficient level), Terraform, AWS Managed Services (eg S3, ECS, Lambda, Dynamo, Step Functions, Athena).   
• Cloud-based orchestration and resource management - AWS Hyperpods, Anyscale, Etc. Model Inference Orchestration.  

Knowledge of English is required since the selected candidate will need to collaborate daily with English-speaking colleagues in the United States and work with technical documentation written exclusively in English. 

Perks of Being a Full-time Torc’r (Canada) 

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: 

• A competitive compensation package that includes a bonus component and stock options
• Medical, dental, and vision for full-time employees
• RRSP plan with a 4% employer match
• Public Transit Subsidy (Montreal area only)
• Flexibility in schedule and generous paid vacation
• Company-wide holiday office closures
• Life Insurance 

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. 
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

Hiring Range for Job Opening 

Canada Pay Range 

$199,200 to $298,800 CAD 

Job ID: 102399

The Role

This is a full-ownership data engineering role at the center of Medeloop's AI platform. You won't be maintaining pipelines someone else built,  you'll be architecting the data backbone that powers AI agents doing real operations at scale. You'll work directly with data scientists, AI engineers, and product teams to turn raw, complex healthcare data into the clean, structured, semantically-rich foundation our AI scientists depend on. Your work shows up in customer products and research outcomes, not internal dashboards that no one reads.Candidates who currently perform these tasks exclusively through manual processes are unlikely to be suitable for this role. We require an individual who has already adopted and integrated AI techniques to enhance operational velocity, rather than one who is contemplating future experimentation.If you want to build something that genuinely changes how medical research gets done, this is the role.

What You'll Own

• The healthcare data lake: curating, extending, and evolving it through new concepts, derived variables, and data models that directly inform our AI engines and customer products
• AI-native data workflows: designing and operating AI-powered pipelines (using tools like Claude Code and agent frameworks) to automate harmonization, cleaning, quality checks, and summarization at scale
• NLP and semantic infrastructure: building pipelines for entity extraction, concept normalization, embedding-based retrieval, and semantic search that power the AI Scientist platform
• Novel data extraction approaches: experimenting with and building new methodologies for working with unstructured clinical data, not just applying existing playbooks
• Research-grade data products: delivering analytical samples, cohorts, and final datasets that withstand scientific scrutiny and are actively used by researchers and customers
• Data governance and observability protocols: including access controls, PHI/PII handling, data classification, compliance, monitoring, alerting, data freshness, and comprehensive documentation to enable self-service capabilities.

What We're Looking For

• 3+ years of relevant data engineering or data management within an analytics-driven organization, with end-to-end ownership from raw ingestion to final data product
• Deep hands-on experience with healthcare CDMs (OMOP, FHIR, PCORnet) — designing or extending them, not just querying
• Knowledge of medical ontologies: UMLS, SNOMED CT, RxNorm
• Experience with big data, data pipelines and tooling that support retrieval-augmented generation (RAG), vector integrations, embedding workflows, and other AI/ML workloads. Experience in big data tooling such as Spark, Iceberg, EMR
• Fluent in Python and SQL; comfortable across structured and unstructured data
• Proven NLP experience: semantic search, entity recognition, concept normalization, embedding pipelines
• Strong grasp of inferential statistics and cohort methodology to be a real partner to data scientists and customers (as part of onboarding)
• Experience contributing to an AI/ML product, especially in automated research or scientific discovery
• Experience mentoring other engineers and providing technical leadership

Bonus Points

• Multi-cloud experience (AWS, Azure, GCP)
• Authorship or contribution to peer-reviewed publications or technical reports

Why Medeloop

• Ownership from day one: small team, high-trust, no layers between your work and its impact
• Technically ambitious: you'll build AI-powered workflows, not just support them
• Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter
• Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build

Director of AI and Enterprise Architecture

Who We Are: 

Quadbridge is a fast-growing North American IT solutions provider, empowering businesses to navigate complex challenges daily, through strong partnerships with leading technology provider and close collaboration with our team and customers.

With locations in Montreal, Kitchener and Vancouver, we strive to create an energetic, fun workplace where ambitious, like-minded teammates collaborate, innovate, and thrive as we continue to grow our national footprint.

We are Quadbridge. See how we’re building tomorrow’s solutions, together.

This Role:

The Head of AI and Enterprise Architecture is a leadership role responsible for defining and executing the organization’s AI strategy and enterprise technology architecture to enable scalable, secure, and value-driven digital transformation.

This role bridges business strategy, emerging AI capabilities, and core enterprise platforms, ensuring that innovation is aligned with architectural standards, governance, and long-term sustainability. The ideal candidate combines deep technical credibility with strong business acumen and executive influence.

This role reports directly to the : SVP, Technology, Services & Innovation.

Responsibilities:

The Head of AI and Enterprise Architecture will shape how technology drives competitive advantage across the organization for years to come. This role is critical to ensuring that AI adoption is intentional, scalable, and responsible, and that enterprise architecture acts as an enabler—not a bottleneck—of innovation.

AI Strategy & Enablement

· Define and lead the enterprise AI strategy, including use-case identification, prioritization, and value realization across business functions.

· Oversee the design, adoption, and scaling of AI solutions, including generative AI, machine learning, intelligent automation, and analytics platforms.

· Establish AI governance frameworks covering ethics, risk, security, privacy, model lifecycle management, and regulatory compliance.

· Partner with business leaders to translate strategic objectives into practical, high-impact AI initiatives.

· Track and report on AI value delivery, adoption, and business outcomes.

Enterprise Architecture Leadership

· Own the enterprise architecture vision, principles, and roadmaps across business, application, data, integration, and infrastructure domains.

· Ensure architectural alignment with business strategy and modernization initiatives.

· Lead architecture reviews to ensure solutions are scalable, resilient, secure, and cost-effective.

· Drive simplification, technical debt reduction, and platform rationalization across the technology landscape.

· Establish and maintain architecture standards, reference architectures, and decision frameworks.

Technology & Platform Strategy

· Guide cloud, data, integration, and platform strategies to support AI-driven and digital-first capabilities.

· Collaborate with cybersecurity, applications, and infrastructure leaders to ensure secure-by-design architectures.

· Evaluate emerging technologies and vendors, making recommendations aligned to enterprise strategy and ROI.

Leadership & Stakeholder Engagement

· Lead and mentor team of data and AI specialists.

· Act as a trusted advisor to senior leadership, providing clear guidance on technology trade-offs and investment decisions.

· Build strong partnerships with business teams to ensure alignment and execution.

· Represent the organization externally with vendors, partners, and industry forums as needed.

Required Skills and Qualifications

· 10+ years of progressive experience in enterprise architecture, technology strategy, or digital transformation, with senior leadership responsibility.

· Demonstrated experience leading AI initiatives at enterprise scale.

· Strong understanding of:

o Enterprise architecture frameworks (e.g., TOGAF or equivalent)

o Cloud platforms and modern application architectures

o Data platforms, integration patterns, and APIs

o AI/ML and generative AI concepts, risks, and operational considerations

· Proven ability to align technology strategy with business outcomes and financial value.

· Excellent communication and stakeholder-management skills

Preferred

· Experience operating in technology solutions provider environments.

· Familiarity with AI governance, responsible AI practices, and emerging regulations.

· Background in consulting, architecture leadership, or large-scale transformation programs.

· Relevant certifications (e.g., TOGAF, cloud certifications, AI/ML credentials).

Education & Certifications

· Bachelor’s degree required.

· TOGAF or equivalent enterprise architecture certification preferred.

· Cloud and AI certifications are a strong asset.

Why Quadbridge: 

• Grow With Us– Take advantage of ongoing professional training and development opportunities.
• Comprehensive Coverage– A complete health, dental, life and LTD insurance plan
• Top-Tier Equipment– We provide everything you need to do your best work.
• A Vibrant Workplace– Join us for monthly social and team building events.
• Perks You’ll Love – In our Montreal office, enjoy an onsite chef and gym.
• Stay Connected – Receive a phone allowance to keep you plugged in.
• Bring Your Best Friend– Our offices are pet-friendly!
• Invest in Your Future– Benefit from our RRSP program to help you plan ahead

Quadbridge is an equal opportunity employer, committed to diversity and inclusion in compliance with the Canadian Human Rights Act and Employment Equity Act. If you require accommodations under the applicable Canadian laws during the interview process, please inform us, and we will ensure your needs are met.

Work Schedule:

Monday to Friday, 8:30 a.m. to 5 p.m.
Full-time, permanent, hybrid

Salary range:

$165k to $180k per year, plus bonus

Application deadline: May 11, 2026.

This offer is for an existing vacancy.

Ce poste est également affiché en français. 

Shape the narrative of the connected worker movement

We’re looking for a strategic, hands-on Content Marketing Strategist to elevate Poka’s voice in the market and accelerate our next stage of growth. This role goes beyond writing - you’ll define how we tell our story across formats, channels, and regions, ensuring our content drives measurable business impact.

If you’re excited about building a modern content engine - including a stronger video presence and using data and AI to continuously improve performance, this role is for you.

The role

As Content Marketing Strategist, you’ll own and evolve Poka’s global content strategy across the full buyer journey from awareness to decision. You’ll work closely with the VP Marketing, Director Demand Generation and cross-functional teams to ensure our messaging is clear, differentiated, and performance-driven.

You’ll also take the lead in formalizing and accelerating our video strategy, bringing structure, consistency, and measurable impact to this critical channel.

This is a high-visibility role with direct influence on pipeline, brand perception, and market positioning.

What you’ll be doing

• Define and execute a comprehensive content strategy aligned with business priorities, product initiatives, and regional growth goals.
• Build and manage a dynamic editorial calendar mapped to personas and stages of the buyer journey.
• Develop and lead Poka’s video content strategy, including thought leadership, customer stories, product storytelling, and campaign support—ensuring video becomes a scalable, high-impact channel.
• Produce high-value content assets (e.g., whitepapers, guides, case studies, landing pages, blogs, video scripts, infographics) that support demand generation, SEO, and brand awareness.
• Write and edit blogs, web copy, email campaigns, speaking abstracts, and sales enablement materials to support integrated marketing programs.
• Leverage the latest AI-powered tools to enhance content research, creation, optimization, personalization, and performance analysis—while maintaining strong editorial standards and brand integrity.
• Collaborate with Product, Sales, Customer Success, and Leadership to translate subject matter expertise into compelling external narratives.
• Build repeatable workflows to maximize the reach and lifecycle of each content asset across web, social, email, paid, PR, and events.
• Partner closely with performance marketing to ensure content supports campaign goals and pipeline contribution.
• Define, track, and report on content KPIs (engagement, SEO performance, conversion, influenced pipeline, etc.), using insights to continuously refine strategy and improve effectiveness.
• Manage internal contributors and external writers, designers, video partners, and agencies to ensure consistent quality and delivery.

What you bring

• 5+ years of experience in content marketing, product marketing, PR, or corporate communications - ideally in B2B SaaS.
• Proven experience developing multi-format content strategies, including video.
• A strong editorial mindset and deep understanding of persona-driven, value-based messaging across the buyer journey.
• Exceptional English writing and editing skills - you can make complex industrial and technical topics clear and compelling.
• Strong analytical skills and experience measuring content effectiveness, tracking KPIs, and translating data into strategic improvements.
• Experience using modern AI tools to enhance productivity, content performance, and distribution strategy.
• A balance of creativity and structure, you can think big, but you also build systems that scale.
  
  
• Comfort working in a fast-paced, evolving global environment and managing multiple priorities.
• B2B SaaS experience required; manufacturing, industrial tech, or digital transformation experience is a strong plus.
• Bilingual (French) is an asset.

Why Poka?

This is a high-visibility role with real influence. You’ll help define a growing category in manufacturing technology, shape the voice of a scaling global company, and build modern, AI-enabled content operations from the ground up.

If you’re excited about turning complex industry challenges into content that drives real business impact - we’d love to connect.

Research Scientist, AI-powered scientific discovery

Location: Montreal, Canada

At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Snapshot

We are looking for a Research Scientist to join our team in Montreal dedicated to AI for Scientific Discovery. Specifically, the team studies systems that combine code execution and retrieval tools with natural-language scientific knowledge to accelerate new scientific discoveries. Research includes, but is not limited to general purpose algorithms that leverage Large Language Model (LLMs) for efficient search and exploration, LLM fine-tuning with Reinforcement Learning, and open-ended tasks for large scale AI-powered empirical research.  

About us

Artificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence. We use our technologies for widespread public benefit and scientific discovery, and collaborate with others on critical challenges, ensuring safety and ethics are the highest priority.

The role

Research Scientists at Google DeepMind lead our efforts in developing novel algorithmic architecture towards the end goal of solving and building Artificial General Intelligence.

In this role, responsibilities will include making key contributions into the latest research developed in Google DeepMind Scientific Discovery effort, such as:

Key responsibilities

• Design, implement and evaluate models, agents and software prototypes of large foundational models.
• Push the boundary of state of the art RL methods and machine learning optimization methods to build autonomous scientific discovery systems. 
• Report and present research findings and developments including status and results clearly and efficiently both internally and externally, verbally and in writing.
• Suggest and engage in team collaborations to meet ambitious research goals.
• Work with external collaborators and maintain relationships with relevant research labs and key individuals as appropriate.
• Work in collaboration with our Responsible AI teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.

About you

You are a passionate and talented researcher with a strong foundation and a proven ability to conduct impactful research in AI. You embrace change and thrive under ambiguity. You have a collaborative mindset and are excited to work as part of a team to tackle ambitious research challenges. You are passionate about seeing your research translated into real-world products that improve the scientific discovery process of users. You are eager to see your research contribute to real-world applications and are driven by a desire to create positive change through AI.

• PhD in Computer Science, Artificial Intelligence, or a related field.
• Strong publication record in top-tier machine learning conferences or journals.
• Solid understanding of deep learning, natural language processing, and/or reinforcement learning.
• Experience with Large Language Models, preferably in the context of code synthesis.
• Experience with relevant ML frameworks such as JAX, TensorFlow, or PyTorch.
• A real passion for AI!

About TTC

The Testing Consultancy is a global specialist software testing company with a focus on helping organizations transform the way they deliver quality software. We provide expert testing and quality engineering services that enable our clients to move faster, reduce risk, and deliver high quality software at scale.

Perks of Working for TTC

• Full Time Employment
• Remote Work Model within Canada
• Competitive Base Salary
• Work Life Balance
• Collaborative and Supportive Culture
• Growth and Development Opportunities

Location
Remote Canada
Preferred locations include Toronto Ontario or Montreal Quebec

Summary

The Test Automation Architect is a senior, hands on leadership role responsible for leading and evolving the automation practice across multiple delivery teams. This role requires a strong balance of strategic thinking and technical execution. The Test Automation Architect will define automation standards, set technical direction, mentor engineers, and actively contribute to framework design and complex automation challenges when needed.

This role plays a critical part in shaping how, when, and why automation is applied across the organization, ensuring scalable, maintainable, and effective automation solutions that support fast moving delivery teams.

Responsibilities

• Lead and support multiple test automation teams while setting technical direction and quality standards
• Design, build, and evolve scalable test automation frameworks primarily using Python and or Java
• Define automation strategy and provide guidance on when automation adds value versus when manual testing is more appropriate
• Act as a technical mentor and coach, supporting team growth and adoption of best practices
• Establish and enforce automation best practices, coding standards, and review processes
• Partner closely with QA, engineering, and product stakeholders to align testing approaches with delivery goals
• Remain hands on when required by contributing to framework development, troubleshooting, and critical initiatives
• Proactively identify risks, gaps, and opportunities for improvement across automation practices
• Communicate effectively with both technical and non technical stakeholders
• Continuously evaluate and adopt new tools, technologies, and approaches to strengthen the automation practice

Technical Skills and Experience

• Strong experience as a Test Automation Architect, Lead, or Senior Automation Engineer
• Deep expertise in Python and or Java for test automation
• Proven experience building and maintaining robust automation frameworks
• Experience leading or mentoring multiple automation teams
• Strong understanding of test strategy, test design, and quality engineering principles
• Ability to balance architectural leadership with hands on execution
• Excellent communication and collaboration skills
• Experience working effectively in a remote and distributed team environment

Nice to Have

• Experience testing IVR systems, Sierra, or contact center platforms
• Exposure to testing Generative AI solutions or LLM based systems
• Experience working in complex enterprise environments or large scale systems

Qualifications

• Bachelor’s Degree in Computer Science, Engineering, Information Systems, or a related field
• Significant experience in test automation and quality engineering in senior or lead roles
• Demonstrated ability to drive automation strategy while supporting delivery teams

If your experience and qualifications align with this role, we encourage you to apply. Experience comes in many forms and skills can be transferable. At TTC, we value diversity, continuous learning, and different perspectives, and we welcome candidates from all backgrounds.