Full-Time
AI Product Manager
Posted on 10/31/2025
ShyftLabs
11-50 employees
Data-driven decision-making platform for organizations
No salary listed
Toronto, ON, Canada
Hybrid
Hybrid role: 3 days in-office per week in Downtown Toronto; 2 days remote.
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- 8+ years of experience in product management.
- Proven track record of working on AI-focused projects within the last few years, with strong familiarity in LLMs and related technologies.
- Technical proficiency to collaborate effectively with engineering and data science teams.
- Experience in defining business cases, monetization models, and scaling enterprise-grade products.
- Excellent communication and stakeholder management skills, able to present complex concepts clearly.
- Strong background in managing cross-functional initiatives with organizational visibility.
- Demonstrated ability to balance strategic product vision with agile, hands-on execution.
- Define the AI product strategy and roadmap, including monetization models, to accelerate adoption across ShyftLabs’ solutions.
- Conduct market, user, and developer research to identify opportunities and shape product direction.
- Translate strategic business outcomes into actionable Objectives and Key Results (OKRs) to align with company goals.
- Partner with UX, engineering, and data science teams to design, prototype, and launch AI-driven features.
- Lead cross-functional initiatives to develop new platform capabilities and scale successful use cases across products.
- Define and monitor Key Performance Indicators (KPIs) to track adoption, performance, and impact of AI features.
- Actively experiment with LLMs, agent-based workflows, and orchestration tools like N8N to identify innovative solutions.
- Communicate plans, progress, and outcomes transparently with leadership and stakeholders.
- Stay current on emerging technologies such as LLMOps, Model Context Protocol, and multi-agent AI workflows to inform product decisions.
- Advanced degree in Business, Computer Science, or related field preferred.
- Experience with workflow automation/orchestration tools (e.g., N8N) is highly desirable.
ShyftLabs helps organizations adopt a data-first approach to decision making by designing and implementing processes that turn data into actionable insights. Its solution builds structured analytics workflows and governance, so teams access trustworthy data, follow defined steps, and act on results with clarity. Unlike tools that only show dashboards, ShyftLabs focuses on repeatable data practices and governance that speed up decisions and reduce ad hoc analysis. The goal is to help organizations stay ahead of the competition by enabling faster, more informed decisions across the business.
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
Canada
Founded
2018
Simplify's Take
What believers are saying
- ShyftLabs hires Apache Druid Engineers and Data Architects in Gurugram and Toronto.
- ShyftLabs powers 200+ experts streamlining operations for major public agencies.
- ShyftLabs modernizes legacy systems with cloud migration for scalable citizen services.
What critics are saying
- Databricks Lakehouse erodes consulting margins as clients build in-house pipelines.
- Snowflake Cortex AI bypasses ShyftLabs BI with native serverless ML functions.
- Talent exodus to AWS drains ShyftLabs engineers amid 30% higher salaries.
What makes ShyftLabs unique
- ShyftLabs delivers privacy-first Carter platform for secure public sector AI.
- ShyftLabs unlocked $500 million value via data and AI for retailers and health.
- ShyftLabs builds custom low-latency pipelines embedding intelligence for real-time decisions.
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Benefits
Health Insurance
Hybrid Work Options
Professional Development Budget