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Product Manager - Automation

shyftlabs · Toronto, ON, Canada

Business StrategyManager LevelExternal listingfull-time24 days ago

About The Role

About ShyftLabs

At ShyftLabs, we live and breathe data. Since 2020, we’ve been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create measurable business impact. We’re growing fast and we’re looking for passionate problem-solvers who are ready to turn big ideas into real outcomes.

The Opportunity

We’re looking for a forward-thinking Product Manager to lead our AI-driven automation initiatives across business and engineering workflows. In this role, you’ll define and deliver intelligent systems that reduce manual effort, enhance decision-making, and transform how we operate. You’ll work closely with data scientists, ML engineers, and business stakeholders to build scalable, compliant, and impactful automation products powered by cutting-edge AI.

What you'll be doing

  • Drive Automation Strategy: Identify and prioritize high-ROI opportunities to automate internal processes and customer-facing workflows using AI (e.g., document extraction, data matching, code generation, and intelligent support bots).
  • Define Product Vision: Translate business needs into functional requirements, product specs, and measurable success metrics for AI-powered modules leveraging LLMs, embeddings, OCR, and predictive analytics .
  • Collaborate Cross-Functionally: Partner with ML engineers to design and implement human-in-the-loop workflows , confidence-scoring systems, and validation frameworks to ensure accuracy and trust.
  • Integrate AI into Core Products: Develop and maintain a product roadmap for embedding automation into existing solutions, such as receipt and invoice reconciliation or ad platform optimizations to enhance efficiency and scalability.
  • Ensure Governance and Compliance: Align automation initiatives with data governance, compliance, and auditability standards, ensuring responsible and transparent AI implementation.
  • Evaluate and Implement Technologies: Conduct vendor assessments (e.g., Google Vertex AI, AWS Bedrock, OpenAI APIs ) and manage proofs of concept (PoCs) to validate technical feasibility and business impact.

What you bring

  • 5+ years of product management experience, preferably in AI, ML, automation, or data-driven products .
  • Strong understanding of AI technologies (LLMs, embeddings, OCR, predictive models) and their business applications.
  • Proven ability to translate complex technical concepts into clear business outcomes.
  • Experience with cloud-based AI platforms (AWS, GCP, Azure) and vendor evaluation processes.
  • Familiarity with compliance and governance frameworks related to AI or data automation.
  • Excellent communication and stakeholder management skills.

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