ShyftLabs

Product Manager - Automation

ShyftLabs · Toronto, Canada
Toronto, Canada was $100K–$130K Closed
Applications are closed for this role. It was originally posted 2025-10-10. It’s no longer accepting applicants — see roles ShyftLabs is still hiring for →, or browse the live openings below.
Salary
$100K–$130K
Type
Full-time
Experience
5+ yr

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.

Why You’ll Love Working at ShyftLabs

At ShyftLabs, your work matters. We’re a growing data product company making a big impact with Fortune 500 clients and as we scale, you’ll have the chance to shape solutions, influence strategy, and grow your career alongside us.

Here’s what you can expect when you join our team:

  • Hybrid Flexibility: Enjoy a hybrid model with 3 days per week in our Toronto office.
  • Downtown Toronto Office: Work in the heart of the city.
  • Comprehensive Benefits: We cover 100% of health, dental, and vision insurance premiums for you and your dependents which means no out-of-pocket costs. Eligibility starts from day one itself.
  • Growth & Learning: Access extensive learning and development resources to keep leveling up your skills.

Inclusion at ShyftLabs

We’re building something big, and we want you on the journey with us. If you’re ready to use data and innovation to make an impact, apply today and let’s grow together.

ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we’ll be happy to support you.

  • 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.
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