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Product Manager - Recommendations (all genders)

Company Description

As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero.

Job Description

We are on the lookout for a Product Manager, Recommendations (all genders) to join our product team at Pandora, which shapes the future of our thriving brands in Southeast Asia and Europe: Foodpanda, Foodora, and Yemeksepeti. In this position, you will drive the strategy, roadmap, and development of our recommendation product and other data science-powered features within Pandora. You will have the chance to leverage machine learning to enhance user experiences and platform outcomes.

You will collaborate with talented data scientists, engineers, UX researchers, analysts, and designers to achieve goals and drive impactful results.
If you geek out over data science topics and are passionate about problem-solving in the food delivery industry, this role is for you!

Join us in creating an engaging and personalised shopping experience for our users. Every feature and improvement you develop will enhance customer choice and app performance, making it easier for users to find and enjoy the products they love. Your work in the Pandora Team will have a lasting impact on customer satisfaction and loyalty across diverse markets.

  • Collaborate with business and product stakeholders to address challenges in browsing and recommendation through data-informed strategies.

  • Define, prioritize, and oversee a backlog of data-centric requirements that support overarching business goals.

  • Work alongside data scientists and machine learning engineers to design optimal solutions that meet product requirements, ensuring technical feasibility and alignment with user needs.

  • Cooperate with cross-functional teams to smoothly execute and deliver joint product solutions.

  • Partner with product analysts to validate product hypotheses through A/B testing and exploratory data analyses, using insights to refine product direction.

  • Create and maintain comprehensive but accessible technical documentation on the product.

Qualifications

  • 3-5 years of product management experience, preferably in AI/ML, as well as in the e-commerce or food delivery industry.
  • Experience in setting up the right hypotheses for your products, validating them with rigorous A/B testing frameworks.

  • Experience working with big data / machine learning technologies, and are comfortable with collaborating with data scientists on how and when to apply these capabilities to solve specific product problems.

  • Written and verbal communication skills, distilling complex technical information into clear messages tailored for diverse audiences.

  • Experience in interpreting and analyzing complex datasets, and are adept at deriving actionable insights from data.

Additional Information

Ensuring you and all our Heroes are looked after, happy, and healthy is always on the menu. Because if you’re in good shape, then we’re in good shape.

 

  • Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week

  • We offer 27 days holiday with an extra day on 2nd and 3rd year of service

  • We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses.

  • Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation, Yoga, Gym & Bicycle Subsidy

  • Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank,  Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan

  • The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers, Food Vouchers, Corporate Discounts. Courses.

                 

Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today!

We believe diversity and inclusion are key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities, religious beliefs, color, national origin, gender identities or expressions, sexual orientations, age, marital or disability statuses, or any other aspect that makes you, you. We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experience—just include it in your application. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

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CEO of Delivery Hero
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Niklas Östberg
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Average salary estimate

$75000 / YEARLY (est.)
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$60000K
$90000K

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What You Should Know About Product Manager - Recommendations (all genders), Delivery Hero

Are you ready to step into an exciting role at Delivery Hero as a Product Manager - Recommendations? Based out of our vibrant Berlin office, you will play a key role in shaping how Restaurant platforms deliver personalized experiences to users across Southeast Asia and Europe. In this dynamic position, you’ll collaborate with a team of forward-thinking data scientists, engineers, and UX researchers, pushing the envelope of what technology can do in the food delivery landscape. Your passion for data science will be put to good use as you drive the strategy and development of our recommendation product, leveraging cutting-edge machine learning techniques to enhance user experiences. You'll have the chance to propose insightful data-driven solutions that will have a direct impact on customer satisfaction and loyalty. Your instinct for problem-solving will shine, whether you are defining new product requirements or conducting A/B testing to validate your hypotheses. Here at Delivery Hero, your work will empower users to discover the products they love, making their journey smoother and more engaging with every interaction. Plus, with our commitment to diversity and inclusion, you'll be part of a team that values your unique perspective and contributions. Get ready to make a meaningful impact while enjoying the perks of a hybrid working model, generous time off, and professional development opportunities. If this sounds like the next step in your career, we can’t wait to meet you!

Frequently Asked Questions (FAQs) for Product Manager - Recommendations (all genders) Role at Delivery Hero
What are the responsibilities of a Product Manager - Recommendations at Delivery Hero?

As a Product Manager - Recommendations at Delivery Hero, your key responsibilities include driving the strategy and roadmap for the recommendation product, collaborating with cross-functional teams to design data-informed solutions, overseeing the backlog of data-centric requirements, and running A/B tests to validate product hypotheses. Your work will focus on enhancing user experiences and improving app performance, ensuring that you create a personalized shopping experience for our users.

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What qualifications are required for the Product Manager - Recommendations position at Delivery Hero?

To excel as a Product Manager - Recommendations at Delivery Hero, you should have 3-5 years of product management experience, ideally in AI/ML or the food delivery industry. A strong understanding of analytical frameworks, A/B testing, and experience with big data and machine learning technologies are essential. Additionally, excellent communication skills for distilling complex information into clear messages that can be understood by diverse audiences will serve you well in this role.

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How does the Product Manager - Recommendations role collaborate with data scientists at Delivery Hero?

At Delivery Hero, the Product Manager - Recommendations actively collaborates with data scientists and machine learning engineers to design optimal solutions that meet product requirements. This involves working closely to determine how data science capabilities can be best utilized to resolve specific product challenges and enhance user experiences within our platforms.

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What kind of work environment can a Product Manager - Recommendations expect at Delivery Hero?

Delivery Hero promotes a hybrid working model, allowing Product Manager - Recommendations team members to work in the Berlin office for vital face-to-face collaboration and to maintain a flexible balance with remote work. The workplace is dynamic and diverse, fostering creative collaboration and a culture where everyone is encouraged to share their ideas and perspectives.

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What benefits can a Product Manager - Recommendations expect when joining Delivery Hero?

Joining as a Product Manager - Recommendations at Delivery Hero comes with an attractive benefits package, including 27 days of holiday, professional development support with an educational budget, health and wellbeing initiatives such as gym subsidies and yoga sessions, and various meal vouchers. Plus, the company actively promotes diversity and inclusion, ensuring an enriching work environment for all.

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Common Interview Questions for Product Manager - Recommendations (all genders)
Can you describe your experience in product management regarding data-driven decision-making?

In answering this question, highlight your specific experiences where data-driven insights led to pivotal product decisions. Explain how you validated hypotheses through A/B testing and the impact these decisions had on user engagement or other key metrics.

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How do you prioritize product features in an agile environment?

Discuss your systematic approach to prioritization. Mention frameworks like the MoSCoW method or RICE scoring and how you've applied these to ensure that your team focuses on delivering the highest value features first, and align them with the overall business goals.

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What challenges have you faced in managing a product roadmap, and how did you overcome them?

Share specific challenges, such as conflicting stakeholder priorities or unforeseen technical difficulties. Emphasize your problem-solving skills and your ability to communicate and negotiate effectively with stakeholders to keep the project on track.

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How do you ensure good communication among cross-functional teams?

Explain your strategies for fostering communication, including regular updates, using project management tools, and facilitating collaborative meetings. Highlight specific examples where your efforts led to successful project outcomes.

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What methodologies have you used in product management, and which do you prefer?

Discuss your experience with various methodologies like Agile, Lean, or Scrum. Share your preference and why, including how these methodologies supported your product management processes effectively.

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How do you handle failure in product experiments or launches?

Talk about your perspective on failure as a learning opportunity. Describe an instance where a launch did not meet expectations and how you analyzed data to derive insights for future improvements.

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Can you provide an example of how you utilized machine learning in a product?

Describe a specific project where you collaborated with data scientists to implement a machine learning feature. Highlight your role in setting requirements and how the feature improved user experience or engagement.

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How do you stay updated with industry trends and emerging technologies?

Explain your approach to continuous learning, including following relevant publications, attending industry conferences, and networking with other professionals. Share specific examples of how new trends influenced your decisions in product management.

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What metrics do you consider most important for evaluating product success?

Discuss key performance indicators (KPIs) relevant to the role, like user engagement, conversion rates, or customer satisfaction. Emphasize your ability to tie these metrics back to business goals and to analyze data to inform future product improvements.

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Why do you want to work as a Product Manager - Recommendations at Delivery Hero?

Express your enthusiasm for the role and company. Mention how Delivery Hero’s commitment to innovation and user experience aligns with your values and career goals, and how you are eager to contribute to their mission.

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Our mission is to deliver an amazing experience, fast, easy, and to your door.

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Full-time, hybrid
DATE POSTED
November 30, 2024

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