Client Success Director - Amazon

Who We Are

Welcome to TELUS Digital, where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting‑edge technology, agile thinking, and a people‑first culture.

With a global team across North America, South America, Central America, Europe, and APAC, we offer end‑to‑end expertise across eight core service areas:
Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Enterprise Technology, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.

From mobile apps and websites to voice UI, chatbots, AI, customer service, and in‑store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are, all backed by the secure infrastructure and scale of our multi‑billion‑dollar parent company.

This role can operate remotely within the US (we are prioritizing candidates based on the US West Coast)
OR be based out of one of our major US office locations - Charlottesville, VA, Durham, NC, Columbus, OH, or Boston, MA.

As Client Success Director for our Amazon relationship, you will serve as the primary commercial and strategic owner of one of our most critical and complex client partnerships. This is a hands‑on, high‑impact individual contributor role focused exclusively on deepening, expanding, and protecting our footprint within Amazon, spanning their AI, Alexa, AWS, and broader machine learning organizations. You will operate at the intersection of artificial intelligence, data operations, and enterprise account management, bringing a strong understanding of the full AI data lifecycle from initial collection and annotation through to validation, fine‑tuning, and model evaluation.

Our service offerings span the breadth of what modern AI development demands. On the Generative AI side, we partner with clients to build human‑aligned datasets for fine‑tuning and evaluating large language models, supporting workflows including Supervised Fine‑Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), red‑teaming, and bespoke dataset creation across more than 20 domains and 100 languages. For data collection
, we leverage a global AI Community of over one million contributors to deliver fully managed, multimodal datasets spanning text, audio, video, image, geo, and 3D data at any scale and complexity. Our data annotation capabilities transform raw, ambiguous data into contextually enriched training assets through advanced labeling services covering image and video, audio, text, and 3D sensor fusion. We also provide rigorous data validation services, ensuring datasets are accurate, relevant, and production‑ready through offerings such as search evaluation, ad evaluation, geo‑location data verification, and machine translation quality assessment.

Rounding out our portfolio, we offer a library of off‑the‑shelf datasets purpose‑built for training and evaluating LLMs, computer vision models, and audio AI systems, providing clients with accessible, cost‑effective solutions ready for immediate integration.

The ideal candidate will bring both technical fluency and a sharp client‑facing mindset, with the ability to translate Amazon's complex, large‑scale data requirements into scalable, high‑quality solutions that deliver measurable outcomes across their AI development initiatives.

Client Account Ownership

• 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…