Job Description

The Product Marketing Manager role covers strategy, positioning, and GTM for the Data for GenAI
business unit of TELUS Digital, which includes GenAI training and post-training data solutions for frontier
AI model builders. The role will connect our product-engineering and solution functions to our commercial
teams, helping them establish TELUS Digital as a go-to partner for customers building next-gen AI
applications.

Key Responsibilities

Go-to-Market (GTM) Strategy: Develop and execute GTM strategies for TELUS Digital GenAI and LLM training data ecosystem. Create sales and ops materials for features and solutions, highlighting customer solution benefits and product usage benefits respectively. Positioning: Own messaging for the Fine-Tune Studio ecosystem, and create impactful value propositions that resonate with our target personas, including Data Scientists, Machine Learning Engineers, and AI leaders. Sales Enablement: Empower sales and operations teams with high-quality materials, including presentations, battle cards, demos and competitive analysis. Content Creation: Collaborate with the global marketing team to develop a pipeline of thought leadership content, demand generation content and case studies. Market & Competitive Intelligence: Conduct ongoing analysis of the competitive landscape and market trends to build internal expertise and define strategy. Voice of the Customer: Conduct ongoing customer feedback and insights from sales calls, user interviews, and market research to help guide the product roadmap. Product Launch: Lead new product introductions (NPIs) to support GTM and enablement.

What You'll Bring (Qualifications)

Required

:[3-5]+ years of experience in B2B product marketing, preferably within a SaaS or technology company. Proven experience marketing a technical product to a highly technical audience (e.g., developers, data scientists, ML engineers). Exceptional written and verbal communication skills, with a proven ability to translate complex technical concepts into clear, compelling value propositions. A storyteller at heart who can create engaging narratives and content. Strong analytical skills and a data-driven mindset for decision-making. Bachelor's or Master's degree in Marketing, Business, Computer Science, or a related field.

Preferred

:Direct experience in the AI/ML space, specifically with data labeling, data collection, MLOps, or data infrastructure platforms is a significant advantage. Familiarity with the machine learning development lifecycle, from data sourcing to model * deployment.