Senior Product Manager (AI)

Job summary

The Senior Product Manager (AI) defines and delivers AI-powered products, connecting machine learning and LLMs to business outcomes. They own the end-to-end product strategy, from discovery and requirements gathering to launch and continuous optimization.

Job details

Are you ready to be a big part of something big? At Trader Interactive, we make buying and selling a great experience. We're a group of go-getters who decided they didn't want to settle for the status quo. We come together as one team to build value and drive innovation across our industries - but we have fun while we do it and make sure our people are always our #1 priority. When it comes to your career, we want to provide big opportunities to help you make a big impact. But for this to be possible, we strive to feel small. Small enough to quickly change tack, small enough to learn from different teams and small enough to connect authentically with leadership. And one of the best parts? We give you the freedom to work from whatever working location works best for you and your lifestyle - yes, this means you can be 100% remote if you want to be! What We Offer An inclusive and supportive work environment where you can move your career forward and will have the chance to do work that has real, significant impact on the world. The opportunity to be a part of a global group of digital marketplace businesses (CAR Group) located across Australia, Brazil, Chile and South Korea - collectively we have around 1,800 team members worldwide, and our Global Talent Exchange Program means you might just find yourself working in one of those businesses sometime soon. Plenty of flexible leave options and employee benefits including up to 31 days of paid time off in your first year, continuing education with access to LinkedIn Learning, a full benefits package including medical, dental & vision, 401K with company match, and wellness program. What You'll Do The Senior Product Manager (AI) is responsible for defining, delivering, and iterating AI-powered products and capabilities throughout the product life cycle — connecting data, machine learning, and large language models to real customer/consumer problems and measurable business outcomes. Own the vision, strategy, and market fit for AI-powered products and experiences within your domain (e.g., recommendations, pricing, search, workflow automation, conversational tools). Build deep consumer and dealer understanding through interviews, discovery sessions, and usage analytics to identify where AI can add real value (and where it should not be used). Serve as internal and external subject matter expert on your AI products, including their capabilities, limitations, and responsible-use guidelines, measurement and monitoring. Own the end-to-end product plan for AI capabilities, from discovery and problem framing through launch, adoption, and continuous optimization. Drive innovative, AI-enabled solutions that align to strategic business goals and are grounded in realistic data, model, and UX constraints. Gather business and data requirements from a variety of sources (consumers, dealers, account owners, sales, support, data science) and translate them into clear product outcomes and increments. Document and elaborate requirements, partnering with business and technology leadership to prioritize AI opportunities within the overall product roadmap. Maintain and prioritize a large product backlog that includes discovery, experimentation, and delivery work for AI features, as well as the data and tech debt required to keep them healthy. Serve as subject matter expert in relevant product domains, assisting with customer UAT, defect triage, and mitigation efforts — with particular attention to AI-specific issues such as output quality, bias, hallucination, and safety. Partner with stakeholders to define minimum viable products for AI features, balancing value, feasibility, risk, and responsible-use considerations. Inspect, accept, or reject completed development work against defined acceptance criteria, UX standards, and key performance metrics for AI behaviors. Communicate work in progress, results from experiments, and upcoming priorities to key internal and external stakeholders in a clear, non-hype way. Collaborate across Data, Sales, Design, other Product teams, QA, and Engineering to produce prototypes and proof-of-concept experiences that validate AI opportunities quickly. Collaborate with software development and data science to build robust, scalable AI solutions for existing and potential customers. Develop a nuanced understanding of the target markets and user bases (including their workflows and risk tolerance) to guide decisions on AI product backlog and prioritization. Contribute to business cases that justify AI investments, clearly articulating expected value, costs (including model and infrastructure costs), and key risks. Conduct customer, market, and competitive analysis to identify industry trends, market gaps, and unmet customer needs, with a specific lens on how AI is changing user expectations. Act as project manager lead in strategic AI initiatives for discovery and delivery, ensuring tight coordination across teams. What We're Looking For Bachelor's Degree in product management, business administration, engineering or a related field. 4-6 years of relevant product management, product ownership, business analytics or beta analytics experience in a software product development environment. 5+ years of relevant product management, product ownership, or closely related experience in a software product development environment, including 2+ years working on AI/ML-powered features or data products. Experience in a role with strong requirements elicitation and stakeholder management across technical and non-technical groups. Experience with customer support and bug tracking. Experience and proficiency with modern product and collaboration tools (e.g., JIRA, yED, G Suite); familiarity with analytics or experimentation tools is a plus (Optimizely, Fullstory, Adobe, etc.). Previous experience in marketplaces, advertising, e-commerce, SaaS, or other data-rich domains is a plus. Bonus Points Not specified in this posting. So come and join our team - because every role is a big role in our plans to go big. TI proudly supports a diverse workforce, and we encourage candidates from underrepresented groups to apply. Trader Interactive is an equal opportunity employer where hiring is based entirely on business needs, job requirements, and individual merit.

What you’ll do

The Senior Product Manager (AI) defines and delivers AI-powered products, connecting machine learning and LLMs to business outcomes. They own the end-to-end product strategy, from discovery and requirements gathering to launch and continuous optimization.

Requirements

Candidates need a Bachelor's degree and 5+ years of product management experience, including at least 2 years focused on AI/ML features. Proficiency with tools like JIRA and experience in data-rich domains such as e-commerce or SaaS is preferred.

Benefits

• Paid time off
• Continuing education
• LinkedIn Learning
• Medical insurance
• Dental insurance
• Vision insurance
• 401K with company match
• Wellness program

Listed skills

• Product management · Preferred
• Software · Preferred
• Teams · Preferred
• Data analysis · Preferred
• Jira · Preferred
• management · Preferred
• Sales · Preferred
• Machine learning · Preferred
• Development · Preferred
• Product Development · Preferred
• Requirements gathering · Preferred
• Customer · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Product Management
• Artificial Intelligence
• Machine Learning
• Large Language Models
• Stakeholder Management
• Requirements Elicitation
• Market Analysis
• Product Roadmap
• Jira
• G Suite
• Data Analytics
• User Acceptance Testing
• Agile Methodology
• Product Lifecycle Management
• UX Standards
• Business Analytics
• Hallucinations
• Sales Support
• Large Language Modeling
• Product Roadmaps
• Workflow Management
• Time Off Management
• Workflow Automation
• Acceptance Testing
• Software Development
• JIRA
• Customer Support
• Bug Tracking And Management
• Business Administration
• Software As A Service (SaaS)
• Collaborative Software
• Data Modeling
• Optimizely
• Sales
• Selling Techniques
• Leadership
• Scalability
• Innovation
• Risk Aversion
• Project Management
• New Product Development
• Performance Metric
• Product Planning
• Safety Assurance
• Business Strategies
• Target Market
• Triage
• User Experience (UX)
• Coordinating
• Mitigation

Job areas

• Software
• Technology
• Data & Analytics
• Management & Leadership
• Engineering
• Product Manager
• Product Manager (General)
• Research and Development Managers
• Marketing Managers

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