Product Marketing Manager

Requirements

Description and Requirements

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&aposll 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&aposs or Masters 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.
  

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&aposs or Masters degree in Marketing, Business, Computer Science, or a related field.
  

Language Reference