About ShyftLabsAt 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 OpportunityWe’re a rapid‑growing startup redefining how automation, AI, and modern data infrastructure power business decisions. We’re looking for a seasoned
Technical Product Manager (TPM)
to lead the full lifecycle of complex AI and data initiatives, with a strong focus on
data management, agentic system orchestration, and evaluation frameworks .
In this role, you’ll define technical strategy across data platforms and AI products, drive execution of agent‑based systems end‑to‑end, and ensure scalable, governed, and measurable delivery. You will operate at the intersection of data architecture, AI orchestration, and product strategy, partnering closely with engineering to build systems that are robust, observable, and continuously improving.
What You’ll Be Doing
Own and drive the end‑to‑end lifecycle of AI‑ and data‑intensive technical initiatives across multiple products
Define and evolve data management strategy, including data modeling standards, pipeline requirements, governance, lineage, and quality frameworks
Lead product strategy for agentic systems, including orchestration layers, tool usage patterns, memory/context management, guardrails, and fallback strategies
Establish and operationalize evaluation frameworks for AI products (LLM evals, benchmarking, human‑in‑the‑loop review, automated scoring, drift monitoring)




Partner with engineering to design scalable architectures that support data ingestion, transformation, context retrieval, and multi‑agent coordination
Translate business objectives into clear technical specifications spanning APIs, data contracts, orchestration logic, and observability requirements
Define metrics for success across system performance, data quality, model reliability, latency, cost optimization, and user outcomes
Identify and mitigate risks across model behavior, data integrity, security, and compliance
Oversee validation processes for AI systems, including regression testing, prompt versioning, evaluation harnesses, and continuous improvement loops
Act as a bridge between product, data engineering, ML engineering, and platform teams to ensure technical alignment and delivery excellence
Communicate roadmap progress, architectural trade‑offs, and performance insights to executive stakeholders with clarity and rigor
Foster a culture of accountability, structured experimentation, and high technical standards across teams
Your Qualifications
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field
2–5 years of experience in technical product management, preferably in AI, ML, or data platform environments




Strong understanding of data architecture and data management principles, including data modeling, governance, lineage, quality monitoring, and cloud data platforms
Demonstrated experience working on AI‑powered or agent‑based products, including orchestration patterns and evaluation methodologies
Familiarity with LLM concepts such as context windows, retrieval augmentation (RAG), prompt orchestration, tool calling, memory management, and guardrails
Experience defining and operationalizing evaluation frameworks (offline/online testing, experimentation, quality metrics, performance benchmarking)
Deep understanding of cloud computing platforms, distributed systems, APIs, and integration patterns
Hands‑on exposure to Agile methodologies, DevOps practices, and CI/CD pipelines
Strong analytical thinking, structured problem‑solving, and data‑driven decision‑making skills
Excellent communication and stakeholder management abilities, including executive‑level reporting
Salary Range
$130,000 - $160,000 (CAD)
Why You’ll Love Working at ShyftLabsAt 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 four 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. Eli

📌 Technical Product Manager (Toronto)
🏢 ShyftLabs
📍 Toronto