About ShyftLabs
At ShyftLabs, we live and breathe data. Since 2020, weâve been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create measurable business impact. Weâre growing fast and weâre looking for passionate problem-solvers who are ready to turn big ideas into real outcomes.
The Opportunity
Weâre a fast-growing startup on a mission to redefine how automation, AI, and data infrastructure power business decisions. Our platform is scaling quickly, and weâre looking for a
Technical Product Manager
who can translate big ideas into scalable products that ship fast and deliver real value. Youâll be working at the intersection of
AI, data, and cloud infrastructure
, shaping the backbone of our product ecosystem, from automation frameworks and data pipelines to intelligent models that learn and adapt.
What you'll be doing
Own the product lifecycle end-to-end, from defining the problem and writing PRDs to launching, measuring, and iterating across backend, AI, and data-platform projects
Turn complex business needs into clear technical specs, user stories, and priorities for engineering teams working in Node.js, Python, React, and GCP/AWS environments
Partner with engineering, data science, DevOps, QA, and design to prioritize roadmap items that align with strategic OKRs, cost targets, and release velocity
Define success metrics (SLAs, SLOs, cost-performance trade-offs) and drive delivery outcomes that balance reliability with speed
Lead automation initiatives powered by AI, from OCR and reconciliation models to LLM-based data extraction and anomaly detection
Shape technical direction, conducting feasibility analyses and making smart architecture calls (think GCP Cloud SQL vs Aurora, Kafka vs Pub/Sub, RDS Proxy adoption)
Keep everyone aligned through sprint planning, stakeholder syncs, and transparent documentation, including PRDs, SOWs, cost models, and architecture diagrams
Coordinate with vendors and partners like Altinity, AWS, and Petco Cloud to strengthen integrations and ensure compliance
What You Bring
5+ years in technical product management or a related role within startups, data, or automation-heavy environments
Strong grasp of cloud infrastructure (GCP/AWS), APIs, data workflows, and automation frameworks
Experience leading AI/ML or data-platform products from idea to production
Comfortable diving into architecture discussions and trade-off decisions with engineers
A builderâs mindset where you prioritize outcomes over process and love finding scrappy, elegant solutions
Excellent communicator who can translate technical complexity into clear value for both developers and business stakeholders
Bachelorâs degree in Computer Science, Engineering, or equivalent practical experience (bonus if youâve worked at an early-stage startup before)
Why Youâll Love Working at ShyftLabs
At ShyftLabs, your work matters. Weâre a growing data product company making a big impact with Fortune 500 clients and as we scale, youâll have the chance to shape solutions, influence strategy, and grow your career alongside us.
Hereâs 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
Weâre building something big, and we want you on the journey with us. If youâre ready to use data and innovation to make an impact, apply today and letâs 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 weâll be happy to support you.