דרושים Application Database Administrator Oracle Enterprise Applications

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.

Role Description:

As a machine learning scientist, your work will focus on building, training and deploying content models (Computer vision, NLP and Generative AI) using the most advanced technologies and models.
You will be responsible for identifying and proposing the most appropriate data sources and modeling techniques to solve complex problems and drive business value.

Key Job Responsibilities and Duties:

• Explore and apply state-of-the-art techniques in multimodal machine learning.

• Train innovative ML models (NLP, CV, LLM-finetuning…), build algorithms, and engineering approaches to drive business impact..

• Coding skills: ensure implementation of reusable frameworks (clean and scalable code).

• Conduct data analysis with detailed metrics to evaluate model’s performance, labels quality, features exploration.

• Work closely with machine learning engineers to ensure the model's latency/throughput meets product requirements and ensure deployment of your model to production.

• Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

Qualifications & Skills:

• Advanced knowledge and experience in Computer Vision and Natural Language Processing, engineering aspects of developing ML and GenerativeAI models at scale.

• Experience designing and executing end-to-end research and development plans and generating impact through large-scale machine learning model development. Preferably evidenced by peer-reviewed publication, patents, open sourced code or the like.

• Relevant work or academic experience (MSc + 5 years of working experience, or PhD + 3 years of working experience), involved in the application of Machine Learning to business problems.

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

• 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.

• Successfully driving technical, business and people related initiatives that improve productivity, performance and quality while communicating with stakeholders at all levels

• 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.