Principal AI Product Manager

AXA•Hartford, CT

10h•Remote

About The Position

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.

Requirements

Extensive product management experience, with some experience in leading AI/ML products
Proven track record of shipping multiple AI products from conception to scale
Deep understanding of AI/ML capabilities, limitations, architectures, and business applications
Robust business acumen: experience with P&L responsibility, pricing models, and business strategy
Demonstrated ability to lead and mentor product teams
Exceptional communication skills across technical, business, and executive audiences
Experience with cross-functional leadership and stakeholder management at scale
Customer obsession and ability to deeply understand user needs and pain points
Strategic thinking with ability to balance short-term execution and long-term vision
Intellectual curiosity and passion for staying current with AI/ML trends and innovations
Leadership presence and ability to influence without direct authority
Comfort with ambiguity and ability to navigate complex, evolving AI landscape
Outstanding written and verbal communication with ability to tell compelling stories
Track record of building and scaling high-performing product teams
Experience mentoring product managers who advanced into leadership roles
Thought leadership in AI product strategy (speaking engagements, publications, etc.)

Nice To Haves

Bachelor’s degree in Business, Computer Science, Project Management or a related field. Engineering, computer science, data science, or machine learning background
Understanding of AI infrastructure, model training, deployment, and MLOps
Familiarity with prompt engineering, fine-tuning, and LLM customization
Knowledge of RAG (Retrieval-Augmented Generation), agents, and advanced AI architectures
Experience in enterprise SaaS, B2B, or B2B2C product management
Track record in regulated industries (finance, healthcare, enterprise) or compliance-heavy environments
Previous experience with platform or ecosystem products
Demonstrated understanding of AI safety, fairness, bias mitigation, and responsible AI frameworks
Experience navigating AI regulation or compliance requirements
Knowledge of AI ethics principles and ability to operationalize them in product decisions
Experience with generative AI, LLMs, or conversational AI products

Responsibilities

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
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.
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.
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
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