We are seeking a Senior Product Manager, who is passionate about search, online commerce, AI / ML, generative AI, LLMs, and buyer experience, to join the Search product team.
The candidate should be comfortable dealing with ambiguity and have experience defining requirements, driving cross team collaboration, and communicating with executives.
In this role, you will work with product managers, engineers, applied researchers, user researchers, designers, and analytics teams to define solutions and make data-driven decisions.
This person will be responsible for leveraging generative AI technology to revolutionize Search for eBay, working across Retrieval, Filters, and Autocomplete to ensure the success of our AI-based features.
Take the next step in your career now, scroll down to read the full role description and make your application.
Responsibilities :
- Own product strategy and roadmap for products powered by generative AI that will cut across the Search organization, from retrieval to ads to experiences.
- Translate product strategy into clear and concise specifications, make functional and user interface design tradeoffs, handle product launches, and lead the product successes post-launch.
- Data driven product decisions with a balance of near-term deliverables and longer-term investment in technology platforms.
- Communicate strategies and trade-offs up to senior leaders and down to development teams.
- Put the customer first, understand market specific nuances, and identify search algo improvements to address unique search-specific needs.
- Drive collaboration across multiple teams to ensure teams are aligned and are working towards solving customer problems.
- Drive A / B testing to identify launch candidates that improve organizational goals.
Qualifications :
- 5+ years with a strong track record product management experience, having previous experience building customer centric products.
- 2+ years of experience in AI / ML product management.
- A proven track record building new, innovative, and engaging customer experiences informed by customer data from various sources (market research, A / B testing, user research).
- Strong analytical skills with the ability to use data to back up assumptions, recommendations, and drive decision making.
- Demonstrated leadership ability, self-motivated and directed, entrepreneurial ability to innovate quickly.
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