Product Manager - Automation

Toronto · TorontoFull-Timemid

Product ManagementProduct ManagerPrincipal Product Manager

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Quick Summary

Requirements Summary

Partner with ML engineers to design and implement human-in-the-loop workflows, confidence-scoring systems, and validation frameworks to ensure accuracy and trust.

Technical Tools

Product ManagementProduct ManagerPrincipal Product Manager

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.