Product Director
TELUS Digital AI Data Solutions
5 - 10 years
Bengaluru
Posted: 31/01/2026
Job Description
About 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
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 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 organizations generating valuable datasets that model builders need but lack infrastructure to monetize on their own
- Structure win-win deals : Design partnership models and monetization 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
Product 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 capabilities
- Prioritize features ruthlessly based on marketplace impact: enabling seamless data discovery, streamlining partnership onboarding, building trust through provenance tracking, and creating transparent monetization mechanisms
- Develop 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 models
Qualifications:
- 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.
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