Product Director

Job Title: Product Director, AI Data MarketplaceAbout Us:TELUS Digital is at the forefront of the Generative AI revolution, specializing in the creation of high-quality, high-fidelity datasets essential for training leading frontier AI models. We are transitioning our focus to complex, domain-specific data challenges, moving beyond standard annotation. Our mission is to power the future of AI by providing the exceptional data these advanced models require. We value a hands-on approach, operate with a bias for action, and promote a culture centered on solving real problems through rapid iteration and continuous learning. We empower our teams with ownership and use data-driven feedback loops to guide our progress towards ambitious goals.The Opportunity:The AI industry faces a critical challenge: we're running out of high-quality training data. As frontier models advance, they need diverse data sources—synthetic data generated at scale, expert-curated reasoning from domain specialists, generalist annotations for broad coverage, physical-world sensor data, and premium content behind paywalls. These aren't separate products. They're interconnected pieces of a single ecosystem that needs seamless orchestration.We're hiring a Product Director to architect this vision: a unified AI data marketplace that integrates multiple production models, creates scalable monetization frameworks, and establishes trust mechanisms for quality and provenance. You'll define how the AI industry sources its most critical resource for the next decade and establish TELUS Digital AI as the definitive platform where AI builders come first for training data. If you're driven to build marketplace dynamics and shape the infrastructure layer of AI, let's talk.You will work shoulder-to-shoulder with other Product teams, Operations, Sourcing, and Quality teams, actively using our ongoing dataset projects as a live laboratory. Responsibilities:Marketplace Strategy & Partnership Development:Map the AI data landscape: Develop a comprehensive view of what data types frontier model builders need most and where market gaps exist that we can uniquely fillIntegrate our existing capabilities: Orchestrate synthetic data pipelines, expert-curated data from GenAI business line, generalist annotations from search/ads workflows, and physical-world data from automotive pipelines into a unified marketplace offeringUnlock new data sources: Forge partnerships to access premium content behind paywalls and enterprise datasets that haven't been available to AI buildersOnboard external data producers: Identify organizations generating valuable datasets that model builders need but lack infrastructure to monetize on their ownStructure win-win deals: Design partnership models and monetization frameworks that work for data producers, AI companies, and our platformBuild the technical integration: Define how diverse data sources connect to our marketplace infrastructure while maintaining quality standards and provenance trackingExecute the vision: Transform fragmented data capabilities into a coherent marketplace that establishes TELUS Digital AI as the central hub where AI builders source training dataProduct Strategy & Roadmap Definition:Define the product vision, strategy, and phased roadmap for the AI Data Marketplace - including data discovery, licensing models, quality verification, and integration capabilitiesPrioritize features ruthlessly based on marketplace impact: enabling seamless data discovery, streamlining partnership onboarding, building trust through provenance tracking, and creating transparent monetization mechanismsDevelop clear, actionable product requirements, user stories, and specifications that effectively bridge operational needs with technical solutions.Execution & Cross-Functional Leadership:Drive the product development lifecycle from ideation through requirements, design oversight, launch, and iteration.Collaborate cross-functionally with Engineering, Business Development, Legal, Finance, and existing product lines to ensure marketplace velocity and strategic alignment.Champion a data-driven approach, using marketplace metrics (supply/demand balance, deal velocity, data quality signals) to continuously refine product strategy and partnership modelsQualifications:Proven experience (8-10+ years) in Product Management, with a clear track record of launching and iterating on complex systems, operational tools, or data platforms.Demonstrated ability and willingness to deeply understand complex operational workflows first-hand and translate those insights into impactful product requirements.Prior experience in B2B, partnerships, or growth product managementStrong analytical and problem-solving skills; highly proficient in using data (quantitative and qualitative) to diagnose problems and guide decisions.Excellent cross-functional collaboration and communication skills – capable of building strong relationships and driving alignment across diverse teams (ops, technical, business).Experience defining product vision, strategy, and roadmaps, particularly in ambiguous or rapidly evolving environments.Preferred / Bonus:Experience in domains directly related to data operations, data annotation platforms, data quality systems, AI/ML infrastructure, or managing specialized/expert talent networks.Past entrepreneurial experience or as a software/ML engineer or designer Experience working on multi-sided marketplacesExperience with products designed for technical, scientific, or highly skilled knowledge workers.You have multiple side projects/initiatives and the work to show for itWhy Join Us:Directly Fuel the AI Revolution: Lead the creation of the essential systems that source, validate, and manage the elite human expertise required to generate the highest-quality data for the world's most advanced AI models. Your work directly impacts the capabilities and safety of frontier AI – this is a high-leverage role in the largest technological shift of our lifetimes.Build Foundational Infrastructure: Architect and own the AI Data Marketplace from its inception. It's about defining and building the core engine for managing specialized talent in the AI data space, setting a new standard for business models.Solve Novel, High-Stakes Problems: Tackle uncharted challenges at the complex nexus of deep domain expertise, AI data operations, rigorous quality assurance, and scalable platform design. The solutions you build will address unique problems with no off-the-shelf answers.Drive Critical Strategic Impact: Be at the epicenter of our company's most vital strategic initiative. You'll have significant ownership, visibility, and the opportunity to directly shape our ability to lead in the rapidly expanding AI ecosystem.

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