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Salary
≈ $32k – $64k per year (Estimated)
Location
In office (Bengaluru)
Experience
8+ years exp

First seen by Alion on Oct 25, 2026.

Overview
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TELUS Digital, formerly TELUS International, is a Canadian digital customer experience and IT services company controlled by TELUS Corporation. It provides customer support outsourcing, trust and safety and content moderation, IT and digital transformation services, and AI data solutions, including data collection and annotation by a global contributor community working in hundreds of languages. The company is headquartered in Vancouver, British Columbia, Canada.

We're hiring a Group Product Manager to architect this vision: a unified AI data marketplace that integrates multiple production models, creates scalable monetisation 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:

  • 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 fill.
  • Integrate 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 offering.
  • Unlock new data sources: Forge partnerships to access premium content behind paywalls and enterprise datasets that haven't been available to AI builders.
  • Onboard external data producers: Identify organisations generating valuable datasets that model builders need but lack the infrastructure to monetise on their own
  • Structure win-win deals: Design partnership models and monetisation frameworks that work for data producers, AI companies, and our platform.
  • Build the technical integration: Define how diverse data sources connect to our marketplace infrastructure while maintaining quality standards and provenance tracking.
  • Execute the vision: Transform fragmented data capabilities into a coherent marketplace that establishes TELUS Digital AI as the central hub where AI builders source training data.
  • Define the product vision, strategy, and phased roadmap for the AI Data Marketplace - including data discovery, licensing models, quality verification, and integration capabilities.
  • Prioritise features ruthlessly based on marketplace impact: enabling seamless data discovery, streamlining partnership onboarding, building trust through provenance tracking, and creating transparent monetisation mechanisms.
  • Develop clear, actionable product requirements, user stories, and specifications that effectively bridge operational needs with technical solutions.
  • 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 models.


Requirements:

  • 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 management
  • Strong 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.


Bonus:

  • Experience in domains directly related to data operations, data annotation platforms, data quality systems, AI/ML infrastructure, or managing specialised expert talent networks.
  • Past entrepreneurial experience, or as a software/ML engineer or designer.
  • Experience working on multi-sided marketplaces.
  • Experience with products designed for technical, scientific, or highly skilled knowledge workers.
  • You have multiple side projects/initiatives and the work to show for it.

Skills

B2B, data platforms, growth, marketplace, partnerships, platforms, product, product management

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