Senior Product Manager - Search & Ranking

<p>At Catawiki, every day brings the extraordinary! Whether it’s , a , or , we encounter exceptional objects every day.</p> <p>We're a one-of-a-kind marketplace for buying and selling special objects! Each week we offer over 75,000 unique items in auction_,_ carefully curated by our passionate in-house experts.</p> <p>Having sold over 20 million unique objects to date, we’re on a mission to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by our core values: </p> <ul> <li>Taking ownership and driving impact</li> <li>Being open to change and feedback</li> <li>Being passionate about our mission and our customers.</li> </ul> <p>If these values resonate with you, we’d love to explore how you can join us on this exciting journey! </p> <h2 id="what-you-will-do"><strong>What you will do</strong></h2> <p>Special objects are the last frontier of E-commerce. We need you to conquer this last frontier. We’re looking for a Senior Product Manager to play a pivotal role in shaping and executing our Personalisation and Machine Learning strategy across ranking and search domains, ensuring a highly tailored and engaging user experience. You’ll be responsible for the improved relevance of recommended lots across the entire Buyer Journey. Doing this while owning holistic cross-team and cross-vertical initiatives that aim to deliver the most engaged and personalised experience for Catawiki buyers. You will collaborate closely with the Search &amp; Ranking team, including engineering, design, marketing, and data science, to deliver innovative personalization features that delight users.</p> <ul> <li>Work with the Search &amp; Ranking team to articulate the Search, Ranking &amp; Personalization vision and set the roadmap</li> <li>Understand the strategy of Catawiki and work with internal teams across the organisation to translate this into the most impactful personalization outcomes</li> <li>Work closely with stakeholders across the organisation to make sure that the team is meeting the needs of the company’s long and short term goals.</li> <li>Drive experimentation agenda on our recommendation/ML models, including working with ML engineers to measure quality and assess the potential impact of new machine learning models on customers’ needs.</li> <li>Lead the integration of personalization features across our user experience, ensuring alignment with the overall product roadmap.</li> <li>Own metrics on models and personalization performance and collaborate with teams to iterate and optimise features based on feedback and data insights.</li> <li>Collaborate with design to ensure a user-centric approach to personalization, emphasising seamless integration and a delightful user experience.</li> <li>You will be joining our Demand vertical where we focus on welcoming users to Catawiki, give them a great onboarding experience, help them find the objects they love and turn them into happy winners.</li> </ul> <h2 id="who-you-are">Who you are</h2> <ul> <li>You have at least 5 years of product management experience and have had demonstrated success defining product roadmaps specifically for personalization, product recommendations, search or other relevant ML-centric products</li> <li>Are outcome-driven with a bias towards action, demonstrating the ability to set and achieve ambitious goals.</li> <li>Possess a sense of urgency and the capability to thrive in a fast-paced, dynamic environment, delivering results within tight timelines.</li> <li>Demonstrated decision-making skills, with the ability to make informed and strategic choices while considering both short-term and long-term implications.</li> <li>Have excellent storytelling abilities, capable of articulating a compelling product vision and strategy to both internal teams and external stakeholders.</li> <li>Have a strong analytical mindset with the ability to derive actionable insights from data, contributing to data-informed decision-making.</li> <li>Possesses extensive experience in designing, executing, and analyzing A/B tests and other experimentation methodologies specific to Machine Learning projects. Capable of leveraging data-driven insights to refine and enhance personalization algorithms, ensuring continuous improvement in user engagement and product performance.</li> <li>Demonstrated a strong technical understanding of machine learning concepts and applications, from the statistical and mathematical foundations to the practical aspects of turning models into product features.</li> <li>Must be skilled in working alongside machine learning engineers to develop and integrate user-focused personalization features into a product ecosystem, ensuring they are optimized and effectively implemented.</li> <li>Possess strong business acumen, with the ability to align product strategies with broader business objectives, identify opportunities for revenue growth, and balance user-centric design with commerc