--- title: 'Principal Technical Product Manager at ShyftLabs' canonical: 'https://feeny.ai/job/principal-technical-product-manager-shyftlabs-toronto-dcgq4stsw1j7' type: 'job' last_seen: '2026-09-08' --- # Principal Technical Product Manager at ShyftLabs - **Company:** ShyftLabs - **Location:** Toronto, Canada - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-09-02 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.lever.co/shyftlabs/28c7ffc8-8074-4d69-b743-d294753912f4 ## Job description ## About ShyftLabs ShyftLabs is a data products and services company that partners with Fortune 500 organizations to solve complex business challenges through digital, data, and AI-driven solutions. We combine deep technical expertise with a consulting mindset to build scalable, enterprise-grade platforms and products that drive measurable business impact. The Opportunity We are looking for a Principal Technical Product Manager to lead the strategy, roadmap, and execution of complex, technically sophisticated products and platforms. This is a highly collaborative and hands-on role at the intersection of product, engineering, data, AI, and business strategy. You will translate ambiguous business and client needs into clear product direction while working closely with engineering and architecture teams to make informed technical and product trade-offs. You will partner directly with Fortune 500 clients and internal technical leaders across cloud, data, and AI initiatives. The ideal candidate is comfortable operating at both the strategic and technical levels, able to define product vision and business outcomes while engaging deeply with engineers and architects on architecture, APIs, data, and delivery. ## What You'll Do Product Strategy & Ownership - Own the end-to-end product strategy, vision, roadmap, and execution for one or more technical product lines. - Lead products through the full lifecycle, from discovery and problem definition through development, launch, adoption, and continuous improvement. - Translate business objectives, customer needs, and technical capabilities into clear product requirements, user stories, and prioritized backlogs. - Define product goals, KPIs, and success metrics to measure adoption, performance, and business impact. - Make informed prioritization decisions and balance business value, technical complexity, customer needs, and delivery timelines. Technical Product Leadership - Partner closely with engineering, architecture, data, and AI/ML teams to assess feasibility, sequence delivery, and resolve technical trade-offs. - Maintain a strong understanding of underlying technical architecture, including cloud platforms, APIs, data platforms, integrations, and AI/ML systems. - Participate in technical design discussions and confidently communicate with engineers and architects without requiring technical translation. - Drive build-vs-buy decisions and help evaluate technologies, platforms, vendors, and technical approaches. - Identify technical risks, dependencies, and opportunities early and work cross-functionally to address them. Client & Stakeholder Leadership - Serve as a senior product leader and primary product point of contact for Fortune 500 clients and stakeholders. - Lead discovery sessions, product workshops, roadmap discussions, and executive presentations. - Translate complex technical concepts into clear business outcomes for executive and non-technical stakeholders. - Build alignment across clients, engineering teams, delivery teams, and internal leadership. - Manage competing priorities, expectations, scope, and timelines across multiple stakeholders. Delivery & Team Leadership - Lead cross-functional product planning and delivery across distributed teams, including teams in Toronto and India. - Partner with engineering leadership to establish realistic delivery plans and ensure products are delivered against agreed objectives. - Remove roadblocks, manage dependencies, and maintain momentum in a fast-moving consulting and delivery environment. - Mentor and support junior Product Managers and Product Analysts as the team grows. - Establish and continuously improve product management practices, processes, and standards. ## What You'll Bring - 8+ years of product management experience, including significant experience in technical, platform, data, or enterprise product management. - Proven experience owning the strategy and roadmap for data-intensive, cloud-based, AI/ML, or technically complex products. - Strong technical fluency with the ability to understand architecture diagrams, APIs, data contracts, integrations, and system dependencies. - Demonstrated experience partnering directly with enterprise or Fortune 500 clients, preferably within a consulting, technology services, or product-services environment. - Proven ability to take complex and ambiguous problems from discovery through production and measurable business outcomes. - Strong understanding of modern software development and product delivery methodologies. - Excellent communication and stakeholder management skills, with the ability to adapt between technical discussions with engineers and strategic conversations with executives. - Experience leading products and roadmaps across distributed, cross-functional, and cross-time-zone teams. - Strong analytical and problem-solving skills with a data-driven approach to prioritization and decision-making. - A bias toward action and ownership, with the ability to make sound decisions in environments where requirements and priorities are constantly evolving. - Ability to operate comfortably at both the strategic and execution levels. ## Nice to Have - Experience with modern data platforms and technologies such as BigQuery, Snowflake, Databricks, or Apache Spark. - Experience working with cloud platforms such as GCP, AWS, or Azure. - Experience building or managing AI/LLM-powered products, including RAG, agentic workflows, or AI-powered automation. - Background in data products, analytics platforms, enterprise SaaS, or digital transformation. - Familiarity with APIs, microservices, event-driven architectures, and modern application platforms. - Experience working with enterprise architecture, governance, compliance, security, or InfoSec review processes. - Experience working with emerging AI technologies and frameworks, including MCP-style architectures. Salary Range - $130,000 - $160,000 (CAD) Why Join ShyftLabs? - Hybrid Flexibility: Work three days per week from our downtown Toronto office. - Comprehensive Benefits: 100% of health, dental, and vision premiums covered for you and your dependents from day one. - High-Impact Work: Take ownership of product strategy and delivery for high-profile Fortune 500 programs. - Technical & Product Leadership: Work alongside experienced engineering, data, AI, and product professionals on complex technical challenges. - Growth & Learning: Access extensive learning and development resources to continue building your technical and product leadership capabilities. - Collaborative Environment: Work with a global, multidisciplinary team across Toronto and India. ## Equal Opportunity ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive workplace. We value different perspectives and encourage applicants from all backgrounds to apply. ## About ShyftLabs ## Company Overview - **One-liner**: ShyftLabs is a data and AI consulting firm that builds enterprise-grade intelligent systems to help Fortune 500 companies, retailers, health organizations, and public agencies turn data into measurable business outcomes. - **Entity Type**: Private (Bootstrapped) - **Headquarters**: Toronto, Ontario, Canada - **Founded**: 2018 - **Founders**: Brian Würtz Leth (Co-Founder, COO) – additional co-founders are not publicly listed. ## Core Business - **Primary industries**: Data & AI consulting, digital transformation, enterprise technology services. - **Target customers**: B2B, large enterprises (Fortune 500), government agencies, healthcare organizations. - **Mission or purpose statement**: “Move from pain points to measurable outcomes, fast.” They aim to make data actionable and power real-time decisions with privacy-first, responsible AI systems. ## Products & Services - **Enterprise AI & Data Consulting**: Custom AI solutions, machine learning models, and data infrastructure designed for trusted enterprise deployment. - **Digital Transformation Services**: Modernization of legacy systems, cloud migration, and scalable AI-ready platforms. - **Data Infrastructure & Governance**: Building governed data pipelines, privacy-first architecture, and secure integrations. - **Responsible AI Controls**: Governance frameworks, bias detection, and compliance-focused AI deployment. ## Market Standing - **Valuation/Market Cap**: Not disclosed (privately held). - **Key Metric**: Claims to have unlocked over $2B in client value (as stated on their website) and $500M+ in measurable value for clients. - **Notable Investors/Partners**: No public investors listed. Partners include major retailers, health organizations, and public agencies (specific names not disclosed). - **Growth Signals**: - Headcount: ~177 employees (LinkedIn) with +1.4% monthly growth; website states 250+ experts. - Active job postings: 30+ (Lever) with 22 roles posted in the last 90 days. - Offices in Toronto, New York, Dubai, and Noida (India), with distributed teams across 6 countries. - 54% of employees in technical roles, indicating strong engineering focus. ## Competitive Advantages - **Privacy-first architecture** and **governed data infrastructure** tailored for enterprise compliance. - **Multi-geography delivery** (North America, Europe, Middle East, India) enabling 24/7 support and diverse talent pools. - **Track record with Fortune 500 clients** and proven ability to deliver measurable ROI (over $500M client value). - **Full-stack AI expertise** spanning data engineering, machine learning, and responsible AI governance. ## Strategic Focus - Scaling AI systems that power real-time decisions across critical industries (retail, healthcare, government). - Modernizing legacy infrastructure for enterprises moving to AI-ready platforms. - Expanding their presence in commerce media (e.g., Carter partnership) and deepening client relationships through account management. - Growth in autonomous AI agents and privacy-first solutions. ## Why Work Here - **Culture & Ratings**: 4.2/5 on Glassdoor (60 reviews) with Work-Life Balance 4.3, Compensation 4.2, Culture 4.2. - **Benefits**: 100% coverage for health, dental, and vision insurance for employees and dependents from day one. - **Work Environment**: Hybrid policy in Toronto (minimum 4 in-office days per week); other offices vary. Fast-paced, product-focused, and collaborative. - **Growth Opportunities**: Continuous learning, influence over strategic direction, and opportunities to build AI systems used by Fortune 500 companies. - **Diversity & Inclusion**: Equal opportunity employer committed to creating a safe, diverse, and inclusive environment. ## Sources 1. [shyftlabs.io](https://shyftlabs.io/about-us) 2. [LinkedIn](https://linkedin.com/company/shyftlabsio) 3. [Indeed](https://ca.indeed.com/cmp/Shyftlabs/jobs) 4. [GetClera](https://www.getclera.com/companies/shyftlabsio) 5. 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