Product Manager - Automation

Canada·TorontoFull-Timemid

Product ManagementProduct ManagerPrincipal Product Manager

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Quick Summary

Overview

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.

Technical Tools

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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.

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.

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.