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About the Role

We're looking for a Technical Product Manager to own a portfolio of data and AI products, translating ambiguous business problems into clear product bets and driving them to delivery. This is a hands-on role requiring close collaboration with enterprise clients, engineering, and data science teams.

Responsibilities

Own the roadmap for one or more data and AI product lines, setting priorities and being accountable for results.
Run discovery directly with enterprise clients and internal stakeholders to identify high-value problems.
Write clear product requirements, including user stories, acceptance criteria, and data contracts.
Partner with engineering, data engineering, and design to sequence delivery and unblock decisions.
Define and instrument success metrics such as adoption, data quality, and time-to-insight.
Lead sprint ceremonies and ensure predictable delivery without creating a ticket factory.
Translate client feedback, usage data, and support signals into a prioritized backlog.
Manage launches end-to-end, including rollout plans, enablement materials, and training.
Communicate roadmap status, risks, and trade-offs to senior stakeholders.
Contribute to the shaping of product practices, prioritization frameworks, and delivery rituals.

Requirements

3–6 years of product management experience, with at least 2 years shipping data, analytics, platform, or AI-powered products.
A track record of taking products from problem statement to production.
Strong technical fluency, including ability to discuss architecture, read data models, and understand APIs and integrations.
Comfort working with enterprise stakeholders and providing constructive pushback.
Analytical rigor, using data to frame decisions and acknowledging data limitations.
Experience with Agile delivery and modern product tooling (Jira, Confluence, Figma, or equivalents).
Excellent written communication skills.
Bachelor's degree in Computer Science, Engineering, Business, or a related field, or equivalent practical experience.

Skills

Data modeling
APIs
Integrations
Agile delivery
Jira
Confluence
Figma
Retail
Commerce media
Retail media networks
LLM-based products
RAG
Prompt orchestration
Tool calling
Evaluation frameworks
Guardrails
Databricks
Snowflake
BigQuery
SQL

Location

Toronto

Work Type

Hybrid

Experience Level

3-6 years

Education Level

Bachelor's degree in Computer Science, Engineering, Business, or related field, or equivalent practical experience

Salary/Compensations

$130,000 - $160,000 (CAD)

Benefits

100% coverage of health, dental, and vision insurance premiums for employee and dependents, starting day one.
Extensive learning and development resources.

About the Company

ShyftLabs is a data and AI company that partners with Fortune 500 organizations across various sectors to transform enterprise data into business-moving systems.
The company builds privacy-first AI, modern data infrastructure, and analytics products that deliver measurable value.
ShyftLabs is scaling quickly and values employees who prefer shipping real products over extensive documentation.

Equal Opportunity

ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment.
Encourages applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply.
Offers accommodation during the interview process upon request.