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Principal AI Product Manager

Job in Stamford, Fairfield County, Connecticut, 06925, USA
Listing for: AXA Group
Full Time position
Listed on 2026-07-26
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 180000 - 280000 USD Yearly USD 180000.00 280000.00 YEAR
Job Description & How to Apply Below

The Principal AI Architect to design and lead the technical strategy for our AI infrastructure, platforms, and systems. In this role, you will own the architectural vision for how we build, deploy, and scale AI solutions across the organization. You'll work at the intersection of AI/ML innovation, systems design, and engineering excellence, partnering with product, data science, and infrastructure teams to build robust, scalable, and responsible AI systems.

This is a high-impact technical leadership role ideal for someone who is passionate about AI systems, thinks deeply about architecture and design patterns, and is excited about solving complex technical challenges at scale.

Whatyou’ll be doing

What will your essential responsibilities include?

Product Strategy & Innovation (40%)
  • Own the strategic vision and multi-year roadmap for AI product initiatives
  • Identify market opportunities, emerging AI trends, and competitive threats
  • Evaluate new AI technologies (LLMs, multimodal models, agents, fine-tuning, RAG) for strategic relevance
  • Define product positioning, target use cases, and customer segments with precision
  • Build business cases and investment recommendations for new AI product lines
  • Present strategic initiatives to executive leadership and board stakeholders
Product Leadership & Execution (30%)
  • Drive the end-to-end technical delivery of AI products, actively engaging in planning, development, and deployment processes.
  • Define detailed technical requirements, success metrics, and acceptance criteria to guide implementation.
  • Collaborate directly with engineering teams to scope complex AI initiatives, manage dependencies, and mitigate technical risks.
  • Work closely with design and data science teams to ensure AI solutions deliver seamless, explainable, and transparent user experiences.
  • Prioritize features and technical enhancements based on data insights, customer feedback, and technical feasibility.
  • Manage product backlog, facilitate sprint planning, and oversee release schedules to ensure continuous delivery.
  • Ensure on-time, high-quality deployment of AI solutions, balancing speed, technical rigor, and operational stability.
Customer Discovery & Insights (15%)
  • Conduct both qualitative and quantitative analysis to identify customer pain points, needs, and preferences.
  • Foster robust relationships with key business, prospects, and industry influencers to gather valuable insights.
  • Analyze customer feedback, usage data, and market signals to generate actionable products and business insights.
  • Define and monitor business success metrics such as NPS, adoption rates, retention, and engagement levels.
  • Advocate for business needs within the organization, ensuring their voice influences product and strategic decisions.
  • Collaborate closely with business teams to develop customer strategies and identify expansion opportunities.
Cross-Functional Leadership & Collaboration (10%)
  • Mentor and develop junior product managers and product analysts
  • Lead product discussions with Marketing, Sales, Legal, Ethics, and Compliance teams
  • Coordinate go-to-market strategy including positioning, messaging, pricing, and launch campaigns
  • Align stakeholders across the organization on product vision and roadmap
  • Build and maintain outstanding working relationships with key partners and influencers
  • Champion a culture of data-driven decision-making and continuous improvement
Responsible AI & Governance (5%)
  • Establish and enforce responsible AI practices including bias detection, fairness, and transparency
  • Define ethical guidelines and guardrails for AI model performance and deployment
  • Navigate regulatory landscape and ensure compliance with AI regulations (AI Act, etc.)
  • Lead internal discussions on AI ethics, safety, and responsible product decisions
  • Communicate clearly with business about AI capabilities, limitations, and responsible use
  • Build customer trust through transparency on model performance and data usage

You will report to the Global Head of Digital Factory.

What you will BRING

We’re looking for someone who has these abilities and skills:

Required

Skills and Abilities:
  • Extensive product management experience, withsome experience inleading AI/ML products
  • Prove…
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