Group Product Manager

TELUS Digital AI Data Solutions; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

TELUS Digital AI Data Solutions in Bengaluru is seeking a Group Product Manager responsible for architecting a unified AI data marketplace, essential for sourcing high-quality training data for AI models. This role involves mapping the AI data landscape, integrating capabilities, and executing the vision for a coherent marketplace.

The ideal candidate will have 8-10 years of Product Management experience, strong analytical skills, and an ability to collaborate effectively across teams. Join us to directly impact the rapidly evolving AI ecosystem.

Qualifications

• Proven experience in Product Management with launching complex systems.
• Strong analytical and problem-solving skills.
• Excellent collaboration and communication abilities.

Responsibilities

• Map the AI data landscape and develop a comprehensive view.
• Drive product development lifecycle from ideation to launch.
• Collaborate with cross-functional teams for strategic alignment.

Skills

Product Management

Analytical Skills

Cross-functional Collaboration

Problem-solving

Education

8-10 years in Product Management

Job description

TELUS Digital is at the forefront of the Generative AI revolution, specialising 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 centred 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 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.

You'll 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.

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.

Preferred / 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‑side marketplaces.
• Experience with products designed for technical, scientific, or highly skilled knowledge workers.
• Demonstrated multiple side projects/initiatives and visible results.

Why Join Us

• Directly fuel the AI revolution: lead the creation of 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.
• Build foundational infrastructure: architect and own the AI Data Marketplace from its inception, setting a new standard for business models.
• Solve novel, high‑stakes problems: tackle uncharted challenges at the nexus of deep domain expertise, AI data operations, rigorous quality assurance, and scalable platform design.
• Drive critical strategic impact: have significant ownership, visibility, and the opportunity to directly shape our ability to lead in the rapidly expanding AI ecosystem.