ShyftLabs Announces Official OpenAI Partnership
ShyftLabs
ShyftLabs announced that it became an official OpenAI partner as it expands enterprise AI solutions and production deployments.
Read articleShyftLabs 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
The Principal Technical Product Manager shapes strategy and delivery for technically complex products, working across product, engineering, data, AI, and business teams. The role spans product discovery through launch and improvement, with direct Fortune 500 client engagement and responsibility for aligning technical choices with business outcomes.
ShyftLabs builds enterprise data and AI systems for organizations in retail, healthcare, financial services, energy, government, manufacturing and supply chain. Its work spans applied intelligence, data infrastructure and engineering, activation and analytics, and governance and security. The company also develops Continuum, an agentic AI platform comprising an open-source agent runtime, Aura for intelligent model routing, and Provenance for governance and observability. ShyftLabs says it has launched more than 50 enterprise solutions and employs more than 250 data and AI specialists across locations including Toronto, New York, Dubai and India.
ShyftLabs offers candidates exposure to enterprise AI, data engineering and agentic AI projects used by major retailers, healthcare organizations and public-sector clients. The company says it has more than 250 data and AI specialists and has launched over 50 enterprise solutions. Its Continuum platform includes an open-source agent runtime, intelligent model routing and AI governance, creating work across agents, distributed systems, data infrastructure and security. Current roles reference Python, Databricks, Spark, AWS, Azure, GCP, Terraform and Kubernetes. Job postings also highlight technical ownership, mentoring, professional development, employer-paid health benefits in Canada and hybrid flexibility for applicable roles.
Programming Language
Backend Framework
Frontend Framework
Database
Database
Data and AI Platform
Data Processing
Data Processing
Data Platform
Cloud Data Platform
Data Transformation
Data Orchestration
Cloud Infrastructure
Cloud Infrastructure
Cloud Infrastructure
Infrastructure as Code
Containers
Container Orchestration
Workflow Orchestration
Vector Database
Vector Database
AI Observability
Machine Learning Platform
Cloud Data Warehouse
Founder and CEO of ShyftLabs with a background in analytics, product and retail technology. Before founding ShyftLabs, Khandelwal worked at companies including Jet.com, Citi and Evernote and co-founded Minoan. He holds an MS in Operations Research from Columbia University and a BE in Computer Science from Panjab University.
Leads security and privacy initiatives at ShyftLabs and contributes to the company's enterprise AI governance work. His background includes software engineering, application security, penetration testing and cloud security, with prior cybersecurity experience at KPMG and professional certifications across AWS and Google Cloud.
Leads consulting and services at ShyftLabs, helping translate enterprise business requirements into data, AI and digital transformation programs. His background includes product management, consulting and entrepreneurship, including co-founding healthcare technology venture InsightHx.
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ShyftLabs announced that it became an official OpenAI partner as it expands enterprise AI solutions and production deployments.
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