Technical Product Manager

6 Minutes ago • 5 Years +
Product Management

Job Description

ShyftLabs is a fast-growing startup focused on redefining how automation, AI, and data infrastructure power business decisions for Fortune 500 companies. The Technical Product Manager will own the end-to-end product lifecycle, translating complex business needs into scalable technical solutions across backend, AI, and data-platform projects. This role involves shaping the product ecosystem, leading AI automation initiatives, and making critical architecture decisions, working at the intersection of AI, data, and cloud infrastructure to deliver measurable business impact.
Good To Have:
  • Worked at an early-stage startup before.
Must Have:
  • Own the product lifecycle end-to-end for backend, AI, and data-platform projects.
  • Translate complex business needs into clear technical specs and user stories.
  • Partner with engineering, data science, DevOps, QA, and design teams.
  • Define success metrics (SLAs, SLOs) and drive delivery outcomes.
  • Lead AI-powered automation initiatives (OCR, LLM-based data extraction).
  • Shape technical direction and make architecture calls.
  • Keep teams aligned through sprint planning and documentation.
  • 5+ years in technical product management in data or automation.
  • Strong grasp of cloud infrastructure (GCP/AWS), APIs, data workflows, automation frameworks.
  • Experience leading AI/ML or data-platform products.
  • Comfortable with architecture discussions and trade-off decisions.
  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
Perks:
  • Hybrid flexibility (3 days per week in our Toronto office).
  • Downtown Toronto office location.
  • 100% coverage for health, dental, and vision insurance premiums for you and your dependents (from day one).
  • Access to extensive learning and development resources.

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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 a fast-growing startup on a mission to redefine how automation, AI, and data infrastructure power business decisions. Our platform is scaling quickly, and we’re looking for a Technical Product Manager who can translate big ideas into scalable products that ship fast and deliver real value. You’ll 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 builder’s 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.
  • Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience (bonus if you’ve worked at an early-stage startup before).

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.

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