The Role
Lead AI and data initiatives, define strategy for data management, oversee evaluation frameworks, and align engineering and product teams for successful delivery.
Summary Generated by Built In
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 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 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 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. 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.
Top Skills
Agile Methodologies
AI
APIs
Ci/Cd
Cloud Computing
Data Management
DevOps
Ml
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The Company
What We Do
We provide customized data and analytics consulting services, including automation and software development for a sustainable and intuitive digital transformation.
