דרושים Engineering Manager - Ai Application Platform Marketplace ב-Booking

The product marketer in this role will join the Partner sourcing product marketing team, part of the Accommodations Product department. The team is responsible for some of ’s largest commercial products (Like Genius, Preferred, Mobile discounts) in the area of Pricing & Supply that deliver unparalleled value to all parts of our marketplace - accommodation partners, travelers and Booking.com. Here are a few examples of challenges that we are pursuing that the candidate may work on:

• Perfecting the right formula for competitive pricing is the highest priority of the accommodation business unit. Our intent is to offer attractive rates and deals globally and we do that by monitoring relevant prices in the market and creating deal events or discounting rates with Booking.com funds.

• Sourcing competitive prices directly from our accommodation partners by crafting a compelling story and bringing this to life across various channels is one of the key challenges for our product marketing team

• We drive partner adoption and retention of our products by creating compelling and data-driven value propositions together with other content, tools and materials to help them make informed decisions and implement our products - all while keeping the end user, accommodation partner, in mind.

• To steer the adoption & retention of our products, we work very closely with digital and human channels, often innovating on how to test and scale across these channels. Creating collateral and enablement materials for these channels is a key responsibility for the product marketing manager in this team

• Driving customer loyalty is essential, but we also need to ensure that it drives incremental business to our partners and to ensure this, we constantly evolve the Genius program.

• We constantly monitor the status of our listings and continuously deliver solutions that match our supply of available rooms with shifting demand patterns, in order to offer the most relevant choices when travelers are searching for an accommodation

• We make our products more flexible and hence accessible to newer partner segments by understanding critical needs and translating them to strong opportunities in the product roadmap

• We often work on company priorities & Must-do’s which need to trickle down to our products and solutions (both compliance and business optimization driven)

• We organize and participate in global and regional partner-facing events (like Click, Elevate etc.)

• Being a Product Marketing Manager for mature commercial products is about identifying new avenues to scale and improve products, features and services that help increase partner satisfaction, improve customer experience and grow the commercial success of Booking.com. With vast amounts of data at your fingertips, you will scale, create, test and validate value propositions for partners across the globe. Therefore, you will work on a global scale and with a great impact.

Manage all aspects of product marketing across multiple products including: product proposition validation and market fit, go-to-market strategy, new product launch, portfolio marketing strategy and execution, positioning, messaging, competitive research, internal communications and field enablement. Some of the things we expect you to excel at:

• Represent the customer/partner at all times, both internally and externally, while keeping eye on the business interests of B.com.

• Own the end-to-end GTM process from target setting, planning, implementation, reporting and retrospective.

• Proactively manage stakeholders across the organization to influence and share information, in the right medium, at the right time across local and global audiences.

• Responsible for internal communication to the field, including identifying the right channel is used with the relevant, timely and accurate product and commercial updates.

• Own strategy for all external communications, working with all key stakeholders (internal and external) to execute.

• Validate value propositions with target audience through qualitative and quantitative research methods.

• Provide ongoing product feedback to product teams, aggregated from multiple channels.

• Drive business impact or growth using data, analytical thinking and structured presentation skills.

• Work with other teams to establish potential commercial incentives to drive API adoption.

• 3-5 years of experience shaping and taking to market a suite of products addressing a major external customer or partner need, beyond an individual isolated feature.

• 3-5 years of experience defining and marketing a commercial product or portfolio of products, which required the definition and achievement of adoption targets and ambition to scale to all relevant customers within a timeframe.

• Partner (B2B) product marketing experience, which required longer and non-linear product validation and scaling, combining quantitative and qualitative validation beyond a single experiment, taking into account partner, customer and platform impact to define market fit and scaling approach.

• Product commercialization experience, working with go-to-market stakeholders to pilot and scale the product by embedding it into commercial frameworks and existing incentive programs of channels.

• Complex and multi-craft stakeholder management with the ability to steer and influence decision-making for product direction, speed to market and path to impact throughout the entire product lifecycle.

• Strong verbal & written communication, manifested in the ability to craft compelling value propositions and work alongside writing and marketing resources to deliver the product proposition in a balanced business and marketing centric manner for internal and external marketing purposes.

• Good at business economics, to help shape product impact measurement alongside data science and product management peers.

• Balanced t-shaped skill set, balancing technical understanding of the product / fluency with engineering teams with marketing centricity and understanding of go-to-market terms and stakeholder needs

• Well-rounded marketing experience in various marketing roles and good understanding of the full marketing mix, from product, to distribution, to communication and pricing.

• Comfort with stage presence and exposure to internal and external audiences for product pitches

• Basic querying skills and ability to find, process and use various data points and facts (internal and external) to make decisions

• Strong interpersonal skills and ability to manage initiatives across multiple departments and stakeholders and with a flexible mindset

• Proactive, flexible and capable of working independently as well as working in a team

• Strategic thinker, able to balance long-term vision with short and medium-term goals

• Let’s go places together:

• This role does not come with relocation assistance.

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Key Job Responsibilities and Duties:

• Implement innovative ML models, algorithms, and engineering approaches with the potential to impact our core business.

• Service ownership - ensure operational excellence in a fast-paced and complex environment, troubleshoot performance issues and own technical incident management.

• Collaborate with various teams to integrate ranking innovations into the search results funnel.

• Build readable and reusable code, applying in depth knowledge of business area tools and product needs.

Qualifications & Skills:

• At least 5 years of hands-on experience in software development.

• Relevant experience working on high-scale distributed systems that impact a large customer base.

• Experience with Java, Scala or Kotlin as a server side programming language.

• Demonstrated experience with technologies such as Kubernetes, Docker, MySQL and Redis.

• BSc or MSc or equivalent experience in Computer Science, Engineering or a related field, or equal industry experience.

• Experience working in cross-functional teams and development of AI/ML products. Advantage.

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:

• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave

• Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)

• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit

Application Process:

• Let’s go places together:

• This role does not come with relocation assistance.

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Role Description:

You will be required to provide strong financial and analytical support to your business unit (BU) or department’s stakeholders. You will have to bridge what the data tell you and how that could help decision-making on a wide array of topics.

You will be supporting the planning and forecasting cycles for both financial and operational business metrics. This includes revenues, expenses and other important KPIs. You will also be involved in reporting versus budget and forecast and support on ad-hoc analyses whenever there is a need from the business.

Key Job Responsibilities and Duties:

• Support with forecasting, variance analysis and reporting of financial performance;

• Contribute to robust, scalable and insightful reporting of the business unit or department’s key metrics;

• Proactively deliver intelligence based on data to support and advise the FP&A team and/or business partners whenever necessary;

• Provide analytical support and contribute to strategic decision making;

• Continuously seek ways to improve and optimize the existing reporting to fit with evolving requests from senior management;

• Perform ad-hoc analysis, scenarios and benchmarking as needed.

Qualifications & Skills:

• Bachelor’s degree in Business/Finance or other related field (preferred);

• 2-4 years’ experience in a similar role;

• Strong financial modeling and analytical skills;

• High attention to detail and ability to connect the dots and reconcile multiple data sources;

• Strong communication skills and ability to present to different audiences;

• Self-driven mentality, proactively seeking to find solutions to problems and providing the best analytics possible to key decision makers

• Advanced knowledge of Excel;

• Strong affinity with modern reporting and analytics tools such as Microstrategy, Power BI, Tableau, or similar data visualization platforms. Familiarity with SQL for querying and a basic understanding of data modeling concepts is preferred;

• Ability to understand, work with and proactively advise and influence senior business partners;

• Sees the headlines or big picture whilst having attention for the details;

• Strong team-working skills with ability to work independently;

• Comfortable working in cross-functional teams and working in an unstructured environment;

• Demonstrated ability to manage multiple competing priorities simultaneously and drive projects to completion.

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive, as well unique-to-Booking.com benefits which include:

• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave
• Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)
• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit

Application Process:

This section should provide:

• Let’s go places together:
• Detailed instructions on post-application requirements including any required application materials, deadlines, portfolios, coding challenges, or other assessments as defined by BU or department.
• This role does not come with relocation assistance.
• The interview process contains a role play session in person to demonstrate customer success and communication skills needed for the corporate travel industry

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Key Job Responsibilities and Duties:

• Leadership in LLM Development- Build, Guide and mentor a team of ML scientists and ML engineers in the development, fine-tuning, and deployment of large language models (LLMs) tailored for the travel domain.

• Expertise in the engineering aspects of deploying LLMs at scale with minimal latency. This includes optimizing model performance, scalability, and efficiency to meet the demands of real-time, high-traffic applications.

• Define and communicate the technical vision and strategy for LLM-related initiatives, ensuring alignment with company goals and customer needs.

• Foster a culture of collaboration, innovation, and excellence within the team.

• Prioritize work in collaboration with Product Managers, depending on business needs and keeping stakeholders aligned at all times.

• Translate machine learning vision and strategy into planning and execution, and ensure timely delivery of their plans.

• Develop innovative ML models, algorithms, and engineering approaches or identify existing ones, with the potential to impact our business.

• Design and execute applied research plans to understand, apply, test, evolve, and generalize these technologies into reusable frameworks.

• Translate business problems into viable, reliable and robust ML and AI solutions, accounting for constraints of the production environment.

• Monitor product health, performance and business impact and act accordingly when requirements are not met.

• Identify underlying issues and opportunities across domains and situations that are not obviously related through application of structured thinking and logic.

• Solve issues by applying methods and insights gained from a variety of disciplines, navigating a variety of environments.

• Make things happen by maintaining motivation and conveying a sense of urgency, focusing on outcomes and accomplishments, while respecting the need to balance long- and short-term goals, by applying influencing techniques and decision making skills.

• Drive, coach and mentor others through evidence and clear communication, explaining advanced technical concepts in simpler terms.

• Continuously evolve your craft. Keep up to date with industry and academic standard methodologies, periodically explore new technologies, introduce them to the machine learning community and promote their application in areas where they can generate impact.

• Actively contribute to Machine Learning at Booking.com through training, exploration of new technologies, interviewing, onboarding and mentoring colleagues.

• Push for improvements, scaling and extending machine learning tooling and infrastructure, collaborating with central teams.

Qualifications & Skills:

• Leadership Experience: At least 4 years of experience leading ML teams in Natural Language Processing (NLP) or Generative AI (GenAI) domains, with a proven ability to guide teams in achieving impactful results.

• LLM Expertise: Advanced knowledge and experience in managing teams developing Large Language Models (LLMs), with strong expertise in the engineering aspects of scalable LLM deployment, ensuring optimal performance and minimal latency.

• Academic and Applied Background:

  • MSc with 6+ years of professional experience, or PhD with 4+ years of experience, applying Machine Learning to solve business challenges.

  • Master’s, PhD, or equivalent experience in a quantitative field (e.g., Computer Science, Engineering, Mathematics, Artificial Intelligence, Physics, etc.).

  • Strong advantage for candidates whose MSc or PhD thesis work is related to NLP, showcasing deep research capabilities in this field.

• End-to-End R&D Proficiency: Demonstrated experience in designing and executing end-to-end research and development plans, from problem definition and data preparation to model deployment and performance monitoring.

• Proven Impact: A track record of delivering measurable business value through the development and implementation of large-scale machine learning models.

• Experience on multiple machine learning facets: working with large data sets, model development, statistics, experimentation, data visualization, optimization, software development.

• Experience collaborating cross functionally in the development of machine learning products (e.g. Developers, UX specialists, Product Managers, etc.).

• Strong working knowledge of Python, Java, Kafka, Hadoop, SQL, and Spark or similar technologies. Working experience with version control systems.

• Excellent English communication skills, both written and verbal.

• Leading by example, gaining respect through actions, not your title. Developing your team and motivating them to achieve their goals. Providing feedback timely and managing your key team performance indicators

Booking.com’s Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive , as well unique-to-Booking.com benefits which include:

• Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave

• Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country)

• Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit

Application Process:

• Let’s go places together:

• This role does not come with relocation assistance.

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.