Client Success Director - Amazon

Serve as a key client success leader in the Amazon client account, responsible for retention, expansion, and net-new workstream growth across Amazon's AI and ML business units.

Build and maintain trusted relationships with AI, data science, product, and operations leaders across Alexa, AWS AI Services, Amazon AGI, and other relevant organizations.

Lead executive business reviews and strategic planning sessions that align TELUS Digital's capabilities to Amazon's evolving AI roadmap and data needs.

Map the full Amazon organization to identify white space, emerging priorities, and expansion opportunities across teams and business units.

Act as Amazon's internal advocate, surfacing insights that shape delivery execution, tooling priorities, and research investments.

Develop deep expertise across TELUS Digital's Data for Generative AI, Data Collection, Data Annotation, Data Validation, and Off-the-Shelf Datasets capabilities, including text, image, video, audio, and sensor data labeling, agentic AI workflows, and responsible AI practices.

Guide Amazon stakeholders in designing scalable, high-quality data programs aligned to their model training, fine-tuning, and evaluation objectives.

Partner with Solutions Architecture and Delivery teams to develop technically credible, customized proposals that address Amazon's unique and often large-scale data pipeline requirements.

Stay ahead of industry trends in AI training data, including emerging labeling methodologies, quality assurance frameworks, and the evolving regulatory landscape around responsible AI.

Maintain rigorous pipeline hygiene, forecast accuracy, and account health reporting using Salesforce.

Manage long-cycle renewals, expansions, and new statement-of-work negotiations with multiple Amazon stakeholders across business units and seniority levels.

Collaborate cross-functionally with Delivery, Solutions Architecture, Finance, and Legal to ensure seamless client experiences and commercially sound agreements.

7+ years of enterprise account management or strategic sales experience, with a strong preference for candidates who have worked directly with Amazon or other large-scale technology companies.

2+ years of experience in Data Collection, Annotation, and/or Validation services, or adjacent AI/ML data services.

Deep familiarity with data workflows and quality frameworks across modalities, text, image, video, audio, and sensor data, and a strong understanding of how training data supports AI model development and evaluation.

Comfort discussing generative AI, agentic AI pipelines, and responsible AI principles with both technical and business audiences.

Demonstrated track record of growing complex, multi-stakeholder enterprise accounts with long sales cycles and large contract values.

Exceptional executive presence and communication skills, with the ability to engage credibly at the Director and VP level within a large, matrixed organization like Amazon.

Proficiency with Salesforce and enterprise account management methodologies.

A consultative, client-first approach, curious, solutions-oriented, and committed to understanding the client's business before proposing a path forward.

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