Product Manager

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Work Location: Remote - Canada/USA

Description:

You will be responsible for defining and delivering shared platform capabilities (e.g., templates, agent lifecycle tooling, observability, governance frameworks) that accelerate the safe and scalable deployment of AI agents across a distributed technology landscape. This is a highly collaborative role requiring technical fluency, product leadership, and stakeholder alignment across varying levels of maturity and adoption readiness.

Key Responsibilities:

• Define the platform roadmap and product strategy for enabling enterprise-scale development and deployment of LLM-powered agents.
• Lead the design of core platform capabilities, including.
• Reference patterns and reusable components for agent development.
• Common tooling for testing, evaluation, observability, and governance.
• Scalable inference and orchestration workflows.
• Shared deployment templates and service hooks.
• Act as the bridge between centralized engineering teams and distributed business-unit-aligned development teams, who each have varying tech stacks, priorities, and adoption curves.
• Develop a pragmatic approach to platform standardization.
• Build early champions and show value through rapid enablement.
• Identify middle-ground use cases requiring tailored paths.
• Establish minimum standards and governance for mandatory components.
• Prioritize and manage a backlog of platform features based on client needs, feedback from internal users, and evolving best practices in the AI/ML ecosystem.
• Drive developer experience improvements across onboarding, documentation, and tooling to ensure successful platform adoption.

Ideal Experience:

• 5+ years of experience in product management with a focus on internal platforms, developer tooling, or AI/ML systems.
• Strong understanding of modern AI agent architectures, orchestration frameworks, and LLM operations (LangChain, RAG, evaluation tooling, etc.).
• Familiarity with DevOps, CI/CD, SDLC governance, and cloud infrastructure in an enterprise context.
• Demonstrated success managing platform adoption across distributed or federated development teams.
• Exceptional communication and stakeholder management skills, with the ability to navigate organizational complexity and drive alignment.
• Experience working in or with consulting environments or matrixed client organizations is a plus.

Key Capabilities We Value:

• Platform Thinking – Ability to design modular, reusable systems that can scale across teams.
• Negotiation & Influence – Capable of earning trust and guiding decision-making across varied stakeholder groups.
• Technical Fluency – Comfortable speaking with engineers, understanding architecture tradeoffs, and guiding implementation paths.
• Execution Focus – Experience shipping platform features with clear success metrics and adoption KPIs.
• Client-Centric Mindset – Adaptable, professional, and focused on solving problems in dynamic and complex client environments.

What is in it for you:

• Be part of a team and company that has won NVIDIA's AI Services Partner of the Year three times in a row with an unparalleled track record of building production AI applications on DGX and Cloud GPUs.
• Strong peer learning which will accelerate your learning curve across Applied AI, GPU Computing and other softer aspects such as technical communication.
• Exposure to working with highly experienced AI leaders at Fortune 500 companies and innovative market disruptors looking to transform their business with Generative AI.
• Access to state-of-the-art GPU infrastructure on the cloud and on-premise.
• Be part of the fastest-growing AI-first digital transformation and engineering company in the world.