Define and deliver world-class AI products, collaborating with engineering teams and clients to bring visions to life. Manage requirements, work with design and development teams, and keep development aligned with product goals. Strong technical skills and experience with AI technologies required.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
AI PRODUCT LEAD
Who We Are
Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.
With a global team across North America, South America, Central America, Europe, Africa, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.
From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.
Location and Flexibility
This role can be fully remote for candidates based in Brazil, due to team distribution and occasional in-person opportunities. If you are based in São Paulo or Porto Alegre, you are welcome to work from one of our offices on a flexible schedule.
The Opportunity
As an AI Product Lead, you’ll play a central role in defining and delivering world-class products. The Product Lead uncovers the “why” and works closely with engineering teams to successfully bring our partners’ visions to life. You’ll follow products through implementation, managing requirements, and working with design, development teams, and clients to keep development aligned with product goals, specifically as they relate to the evolving Data and AI landscape. We understand our responsibility to create a diverse, equitable, and inclusive place within the tech industry, while pushing to make our industry more representative. Because of this responsibility, we need candidates who value diversity and inclusion through their work, team collaboration, or mentorship. So in your cover letter, we encourage you to reflect on diversity, equity, and inclusion.
Responsibilities
- Help clients define product vision and user objectives, maintaining strong client relationships
- Work with internal and external team members to define feature lists that align with the client's strategy
- Collaborate with cross-functional teams to iteratively build solutions that are in line with time and budget constraints
- Facilitate conversations around scope management and feature prioritization
- Elicit requirements from stakeholders and manage complex requirement backlogs that account for data quality and AI model constraints
- Build a shared understanding of product requirements among all stakeholders (internal and external)
- Understand and advocate for the end-user’s needs
- Contributes to a strategic product roadmap that prioritizes features according to the client's vision
- Work alongside engineers to understand data flows and the conceptual logic of AI agents to guide feature development
- Manage and document technical dependencies and API needs for use in feature implementations
- Collaborate with product designers and engineers to create best-in-class user experiences that make AI interactions intuitive and accessible
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- 3+ years of experience in the software development industry as a Product Owner, Product Manager, Technical Business Analyst, or related position, with exposure to Data or AI-driven products
- An understanding of the software development life-cycle (SDLC) and experience adapting regular PM methodologies to the iterative nature of AI development
- Demonstrated experience with AI technologies in personal and/or professional contexts
- Experience working closely with stakeholders to elicit and define requirements for data-intensive applications or automated workflows
- Strong documentation and technical writing skills, with familiarity working with user stories, acceptance criteria, use cases, flow diagrams, user personas, and API documentation
- Excellent analytical, problem-solving, and decision-making skills
- Ability to size solutions based on project constraints, i.e., time/scope/budget
- Experience in identifying and mitigating risks specific to AI, such as data privacy or output reliability
- Ability to communicate clearly, confidently, and tactfully, and to explain AI concepts (like GenAI or Agents) to non-technical audiences
- Knowledge of frontend and backend technologies (i.e., web/native apps, APIs, databases) and the risks and constraints of different technologies
- An understanding of and deep appreciation for the topic of user experience (UX) and how AI impacts user behavior and trust
- Self-starter who takes initiative in solving problems and can self-manage commitments and deadlines
- Professional or personal experience utilizing AI tools
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- In-depth software development knowledge or development experience
- Working knowledge of backend systems such as databases and cloud platforms
- Agency and/or consulting experience with a variety of clients and industries
- A strategic understanding of Generative AI and Agentic AI workflows and how they differ from traditional software
- Certified ScrumMaster and/or Certified Scrum Product Owner
At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity.
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