Job Description
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.
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.
💡 Quick Summary
Seeking a career-building opportunity? The Product Director position is now open for candidates interested in the Operations Executive Jobs sector. This role in Ahmedabad offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Operations Executive Jobs is a plus.
