Senior Product Manager - Machine Learning Platforms

Senior Product Manager - Machine Learning Platforms Join to apply for the Senior Product Manager - Machine Learning Platforms role at Quantiphi .
Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
Company Highlights:
2.5x growth YoY since 2013, with over 4,000 professionals globally.
Elite/Premier Partner for Google Cloud, AWS, NVIDIA, Snowflake, and more.
Multiple awards including 17x Google Cloud Partner of the Year, 3x AWS AI/ML, 3x NVIDIA Partner of the Year, and 2x Snowflake Partner of the Year.
Recognized by Gartner, ISG, and Everest Group.
Industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, powered by Generative AI and Agentic AI.
Certified as a Great Place to Work for three consecutive years.
Be part of a trailblazing team shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!
Work Location: Remote - United Kingdom
Description:
Seeking an experienced Product Manager to lead development of a centralized enterprise platform for managing AI agents powered by large language models (LLMs). This role involves AI product strategy, developer platforms, and enterprise IT transformation, collaborating with multiple client teams building AI-driven solutions.
You will define and deliver shared platform capabilities (e.g., templates, agent lifecycle tooling, observability, governance frameworks) that enable safe and scalable deployment of AI agents across diverse technology landscapes. This highly collaborative role requires technical fluency, product leadership, and stakeholder alignment across varying levels of maturity and adoption.
Key Responsibilities:
Define the platform roadmap and strategy for enterprise-scale LLM-powered agent development and deployment.
Design core platform capabilities, including reference patterns, reusable components, testing, evaluation tooling, observability, governance, scalable workflows, deployment templates, and service hooks.
Bridge between centralized engineering and distributed business-unit teams with different tech stacks and priorities.
Develop a pragmatic approach to platform standardization and build early champions.
Identify use cases requiring tailored solutions and establish minimum standards and governance.
Prioritize and manage platform feature backlog based on client needs and evolving AI/ML best practices.
Improve developer experience via onboarding, documentation, and tooling to ensure successful adoption.
Ideal Experience:
5+ years in product management with focus on internal platforms, developer tooling, or AI/ML systems.
Strong understanding of AI agent architectures, orchestration frameworks, and LLM operations (LangChain, RAG, evaluation tooling).
Familiarity with DevOps, CI/CD, SDLC governance, and enterprise cloud infrastructure.
Experience managing platform adoption across distributed teams.
Excellent communication and stakeholder management skills.
Experience in consulting or matrixed client organizations is a plus.
Key Capabilities We Value:
Platform thinking for scalable, modular systems.
Negotiation and influence skills to earn trust and guide decisions.
Technical fluency to communicate with engineers and guide architecture tradeoffs.
Execution focus with measurable success metrics.
Client-centric mindset for solving problems in complex environments.
What is in it for you:
Join a company recognized as NVIDIA's AI Services Partner of the Year three times, with a proven track record in AI applications on DGX and Cloud GPUs.
Peer learning opportunities in Applied AI, GPU Computing, and technical communication.
Work with AI leaders at Fortune 500 companies and disruptors leveraging Generative AI.
Access to cutting-edge GPU infrastructure on cloud and on-premise.
Be part of the fastest-growing AI-first digital transformation company worldwide.
Seniority level Mid-Senior level
Employment type Full-time
Industries IT Services and IT Consulting

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