--- title: 'Forward Deployed - Data & AI Product Manager at ShyftLabs' canonical: 'https://feeny.ai/job/forward-deployed-data-ai-product-manager-shyftlabs-toronto-zy1ng9swef8p' type: 'job' last_seen: '2026-10-27' --- # Forward Deployed - Data & AI Product Manager at ShyftLabs - **Company:** ShyftLabs - **Location:** Toronto, Canada - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-10-26 - **Last confirmed live:** 2026-10-27 - **Apply:** https://jobs.lever.co/shyftlabs/fcb456d9-b11f-494d-9385-f9466c269d59 ## Job description The Opportunity ShyftLabs is seeking a client-facing Data & AI Product Manager to support a Quality AI initiative for a leading enterprise client. In this role, you will work as an extension of the client's Data & Analytics (D&A) team, partnering closely with Quality business stakeholders, technology teams, and implementation vendors to drive the successful delivery of AI-powered solutions. This is a hands-on product management opportunity for someone who can bridge business needs and technical execution, translate complex requirements into actionable product deliverables, and ensure that solutions deliver measurable business value. You will play a key role in providing product oversight, challenging vendor recommendations, coordinating implementation activities, and ensuring AI-driven workflows are reliable, user-friendly, and aligned with business objectives. The ideal candidate combines strong stakeholder management and delivery coordination skills with an understanding of enterprise data, analytics, and emerging AI capabilities. You should be comfortable engaging directly with senior stakeholders, facilitating cross-functional discussions, and driving accountability in a complex enterprise environment. ## What You'll Be Doing - Serve as a key product management partner to the client's Data & Analytics team, acting as the bridge between Quality business stakeholders, IT, data teams, and external implementation vendors. - Facilitate stakeholder discussions and requirements-gathering sessions to understand business needs, define priorities, and translate requirements into actionable product deliverables. - Manage day-to-day coordination across business and technical teams, ensuring alignment on scope, timelines, dependencies, deliverables, and implementation priorities. - Communicate product progress, risks, decisions, and recommendations clearly to business stakeholders and leadership. - Constructively challenge assumptions, proposed solutions, and vendor deliverables to ensure they meet business requirements and enterprise standards. - Review and evaluate vendor deliverables, including solution architectures, AI workflows, user interfaces, data mappings, testing strategies, and implementation plans. - Assess proposed AI-enabled solutions to ensure they address business requirements, support effective human oversight, and provide appropriate transparency into findings, exceptions, and recommendations. - Partner with business and technology teams to shape user-facing interfaces that enable Quality stakeholders to review documentation, investigate findings, assess exceptions, evaluate AI-generated recommendations, and support release decisions. - Coordinate business validation, user acceptance testing (UAT), defect resolution, and launch readiness activities. - Track implementation risks, dependencies, open issues, and decisions to maintain delivery momentum and ensure timely resolution. - Support the transition from implementation to operational use, ensuring stakeholders are prepared to adopt and effectively use the solution. - Define, challenge, and refine key performance indicators (KPIs) to measure the effectiveness and business impact of the Quality AI initiative. - Partner with the Value team to establish appropriate measurement frameworks, validate assumptions, and ensure benefits are tracked against agreed business objectives. - Translate business objectives into measurable product outcomes, ensuring the solution delivers tangible improvements in efficiency, quality, consistency, and decision-making. - Collaborate with data and analytics teams to validate data requirements, mappings, reporting needs, and the quality of information supporting AI-enabled workflows. - Maintain clear documentation of product requirements, decisions, risks, dependencies, action items, and delivery status. ## What You'll Bring - 4–8 years of experience in product management, data and analytics, business analysis, digital transformation, or a related field. - Demonstrated experience supporting the delivery of enterprise data, analytics, AI, or digital products from requirements definition through implementation and launch. - Strong client-facing experience, with the ability to build trusted relationships and coordinate effectively across business stakeholders, technical teams, and external vendors. - Experience reviewing technical deliverables, challenging proposed solutions, identifying gaps, and driving alignment between business expectations and technical implementation. - Familiarity with Generative AI, document intelligence, optical character recognition (OCR), AI agents, or human-in-the-loop workflows. - Strong communication, facilitation, presentation, and stakeholder management skills, including the ability to navigate competing priorities and constructively challenge demanding stakeholders. - Experience coordinating UAT, business validation, issue resolution, and implementation readiness. - Ability to define success metrics, evaluate product performance, and connect delivery outcomes to measurable business value. - Strong organizational skills, attention to detail, and the ability to manage multiple workstreams in a fast-paced enterprise environment. - Comfortable working independently while maintaining strong alignment with client stakeholders and cross-functional delivery teams. Salary Range - $150,000 - $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. 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. ## 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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