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.

The Opportunity :

Building and managing a scalable, on-demand network of specialized domain experts (in STEM, rare languages, creative writing, computer science, etc.) is fundamental to our success and our mission of delivering premier AI training data. This requires architecting the operational and product engine to consistently source, qualify, and manage world-class talent at scale, ensuring fast ramp-ups in our talent network.

We are seeking a strategic and operationally-minded Product leader to spearhead this critical initiative. Crucially, your initial focus will be deeply embedded within the operational realities of our current expert sourcing, qualification, and management processes. You will work shoulder-to-shoulder with our Community and Ops teams actively. Your primary goal starting out is to rapidly understand the ground-level challenges - the bottlenecks, the quality hurdles, the inefficiencies - through direct involvement and analysis across our expert management process.

From this deep operational understanding, you will transition into defining the core problems, architecting the solutions, and driving the product strategy and execution for our Talent Network and related operational tools.

Responsibilities :

1. Operational Immersion & Problem Discovery :

- Embed deeply within Operations, Sourcing, and Quality teams to gain first-hand mastery of the end-to-end expert lifecycle and dataset production workflows.

- Identify, analyze, and quantify critical bottlenecks, pain points, and opportunities impacting speed, cost, validation integrity, and data quality.

- Actively leverage current efforts as a primary source for user needs discovery (internal teams, experts) and build experiments that help us learn quickly.

2. Product Strategy & Roadmap Definition :

- Translate operational insights, user needs, and experimental learnings (derived from internal pilot projects) into a clear product vision, strategy, and phased roadmap for the Talent Intelligence System and supporting tools.

- Prioritize features ruthlessly based on their direct impact on strategic goals : enhancing dataset quality, accelerating expert deployment, strengthening validation, ensuring scalability, and improving expert engagement.

- Develop clear, actionable product requirements, user stories, and specifications that effectively bridge operational needs with technical solutions.

3. Execution & Cross-Functional Leadership :

- Drive the product development lifecycle from ideation through requirements, design oversight, launch, and iteration.

- Collaborate cross-functionally with Operations, Sourcing, Quality, Domain Experts, Growth Marketing, and Business Development to ensure velocity and holistic alignment.

- Champion a data-driven, iterative approach, using real-world project learnings and performance metrics to continuously refine the product strategy and validate hypotheses.

4. Market & Ecosystem Awareness :

- Maintain a strong understanding of the landscape for AI data operations, quality assurance, expert network management, and the specific data quality/validation needs of frontier AI labs.

- Stay informed about relevant technologies and best practices without getting boxed into generic solutions - focus remains on enabling our core AI data business.

Qualifications :

- Experience in domains directly related to managing specialized/expert talent networks.

- 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 B2C, 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 products around data operations, data annotation platforms, data quality systems, AI/ML infrastructure.

- Past experience 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.

Why 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 "Talent Intelligence System" from its inception. This isn't about tweaking existing tools; it's about defining and building the core engine for managing specialized talent in the AI data space, setting a new standard for quality and efficiency.

- 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.