You will conceive practical and creative ways to identify leading talent and invest considerable time activating and engaging passive candidates. You will use data to set benchmarks and metrics to create targeted recruiting strategies while partnering with leadership to build inspired teams. You will report directly to the Manager, EMEA Talent Acquisition.

This is a fixed-term position for a period of 12 months, with the possibility of extension.

The impact you will have:

• Apply your knowledge to meet our hiring needs within Field Engineering and develop unique full-cycle hiring strategies.
• Build engaged talent pipelines for roles across Field Engineering, with active and passive candidates which can sustain long-term hiring goals.
• Act as a trusted advisor to Field Engineering leaders across EMEA , running intake and calibration sessions, challenging assumptions on role design and seniority, and holding hiring managers to a consistently high bar.
• Create closing approaches to manage partner expectations through market data.
• Lead the business with data to promote future workforce planning decisions and accurate forecasting.
• Help Databricks to provide a positive interview experience for all and periodically review experiential data to enhance our offering and drive Diversity and Inclusion in our hiring.

What we look for:

• Experience with recruiting for Go To Market professionals, specifically Pre-sales Engineers and Post-sales engineers from Entry level to Director within the software industry.
• Experience building strategic partnerships within the business and cross-functionally, and influencing senior stakeholders with data rather than opinion.
• Experience recruiting across multiple EMEA markets and navigating the local nuances that come with it.
• You will have had success in scaling a high-growth software/Data/AI company and be able to bring your learning from your success to our team.
• Experience serving as a mentor and expert regarding all recruiting-related activities and be comfortable sharing your knowledge within the business and our wider team.
• Significant experience in a recruiting environment, ideally in-house, focussed on the SaaS software, ideally within the Data and AI space.

Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

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The Brand Specialist works on understanding and gathering consumer insights and market research, specifically what drives top-of-mind awareness, brand salience, and per capita consumption. You will work closely with the Brand Manager to contribute to the annual business plan by creating, planning, and executing brand, advertising, new products, and packaging initiatives while ensuring the brand is portrayed in the right way.

Responsibilities

• Work closely with the Brand Manager and other country marketing specialists and International HQ specialists to share learnings, best practices, align plans, and share updates and insights.
• Instigate and participate in creative sessions to develop tactics and assess best-practice case studies.
• Ensure the consumer and brand perspective is considered in every project, with a strong focus on digital and social media.
• Sustain or strengthen the brand part of the trial and awareness study, including past 4-week/12-month consumption, top-of-mind awareness, and brand salience.
• Create branding and through-the-line communication for specific marketing projects in collaboration with marketing functions.
• Develop and implement the ideal advertising plan, ensuring international and local learnings and the right country-specific level of digital and social components.
• Control creative and media agencies to ensure correct contractual setup and strong working relationships.
• Manage the media agency to ensure the best possible value-for-money advertising plan.
• Annually review media planning and buying with the agency and international teams.
• Lead and manage solid product launches with sales, finance, and other marketing functions.
• Understand which packaging solutions address country-specific needs and lead/manage launch proposals.
• Collect learnings to share locally and with International HQ.
• Turn data into compelling insights that are actionable and relevant.
• Monitor the consumer's perception of the brand and products on social media, especially for the younger segment of the target group.
• Support the Brand Manager in developing and implementing the annual business plan.
• Prepare the annual plan and financial budgets/P&L with the Brand Manager and marketing and sales teams.
• Manage and maintain the agreed budget.
• Strengthen agency service and client/agency relationships.
• Build a strong, transparent, trustworthy partnership and cooperation with management and personnel.

Requirements

• Minimum of 1 year of experience in a similar position within the FMCG sector.
• Clear understanding of competitor activity and consumer behavior in a brand and FMCG context.
• Ability to generate consumer insights and translate them into successful brand initiatives.
• Strong analytical ability and commercial acumen to understand financial statements and market trends.
• High standard of integrity with a passion for the brand and commitment to Red Bull values.
• Proficiency in Microsoft Office (Word, Excel, PowerPoint, etc.).
• University degree in Marketing, Communications, Economics, or related fields.
• Fluency in English and local language.
• Travel 0-10%.

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The impact you will have:

• Work with a team to build features for the Databricks platform
• Manage your project end-to-end, including design, code, and feedback
• Learn about building a platform that scales quickly while maintaining quality and security

What we look for:

• You will graduate between fall 2027 and Summer 2028 with a degree in Computer Science, Engineering, or a related subject
• You have implementation skills with a general-purpose programming language, such as Python, Java, or C++
• You have good knowledge of algorithms, data structures, and OOP principles
• You are excited to solve ambiguous problems with a collaborative team

Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all our employees. For specific details on the benefits offered in your region, click here.

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The impact you will have:

• Deeply understand customer problem space and establish the rails for viable solution space
• Prototype and test early ideas with customers and engineers to validate direction before the team commits to a build
• Work with engineers and designers to ship features on the Databricks platform
• Own your project end-to-end , design, build, launch, and iterate on feedback
• Build with scale, quality, and security in mind from day one

What we look for:

• You will graduate in Fall 2026 or Spring 2027 with a bachelor's or master's degree in computer science or related engineering practice
• You've used AI tooling for both personal productivity and development projects
• You have some first-hand experience with SQL and/or Python
• You're hands-on and learn by doing , happy to build, test, and iterate your way to an answer
• You use analytical skills to make data-driven decisions
• You can make complex topics simple and communicate nuance to partners in both written and verbal form
• You're excited to solve ambiguous problems with a collaborative team
• You stay curious and keep learning, whether it's a new technology, a customer's domain, or a corner of the product you haven't touched

Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

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You will learn how to be a successful PM at a high-growth enterprise technology company that operates at the important intersection of data and AI.

The internship program is 12 weeks, paid, and located in either Amsterdam, Belgrade, or Berlin.

Responsibilities:

• Deeply understand customer problem space and establish the rails for viable solution space
• Prototype and test early ideas with customers and engineers to validate direction before the team commits to a build
• Work with engineers and designers to ship features on the Databricks platform
• Own your project end-to-end , design, build, launch, and iterate on feedback
• Build with scale, quality, and security in mind from day one

Requirements:

• Pursuing a bachelor's or master's in computer science or a related engineering field graduating between Fall 2027 and Summer 2028
• You've used AI tooling for both personal productivity and development projects
• You have some first-hand experience with SQL and/or Python
• You're hands-on and learn by doing , happy to build, test, and iterate your way to an answer
• You use analytical skills to make data-driven decisions
• You can make complex topics simple and communicate nuance to partners in both written and verbal form
• You're excited to solve ambiguous problems with a collaborative team
• You stay curious and keep learning

Benefits: Databricks strives to provide comprehensive benefits and perks that meet the needs of all employees.

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Responsibilities

• Relentlessly push search quality forward through models, data, evaluation, infrastructure, or any other leverage available.
• Own ranking-quality problems end to end: define the evaluation, identify the bottleneck, build the solution, and ship it safely.
• Train and evaluate retrieval, ranking, and classification models, including neural and LLM-based approaches where appropriate.
• Build and operate ranking infrastructure, including feature computation, low-latency inference, multi-stage cascades, deployment, and monitoring.
• Make sound trade-offs across quality, latency, reliability, cost, and engineering complexity.
• Collaborate across Data, AI, Infrastructure, and Product while retaining ownership of the final quality outcome.

Qualifications

• Deep understanding of search or recommender systems and their evaluation.
• Proven ownership of a large-scale production ranking system or a substantial class of quality problems.
• Strong machine-learning and software-engineering skills across data, models, serving, and monitoring.
• Ability to drive ambiguous, cross-team problems without continuous task decomposition.
• Exceptional depth in either modern neural ranking methods or low-latency ranking systems and runtime.
• Minimum 5 years of relevant industry experience.

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As a Staff Software Engineer - Backend, you will join as a founding member of the Belgrade site and contribute to our multi-year journey to achieve our Lakehouse vision. You will be involved in the entire development cycle and exemplify all core Databricks values.

The impact you'll have: Our backend teams span many domains across our essential service platforms. You might work on challenges such as:

• Distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.
• Building reliable, secure, and high-performance services and client libraries for storing and accessing large amounts of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store.
• Developing product features that empower our customers to easily store and access their data.

What we look for:

• BS (or higher) in Computer Science, or a related field
• 8+ years of production-level experience in one of: Java, Scala, C++, or similar languages
• Experience developing large-scale distributed systems
• Experience working on a SaaS platform or with Service-Oriented Architectures
• Knowledge of SQL

Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all our employees. For specific details on the benefits offered in your region, click here.

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We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

As a software engineer, you will join as a founding member of the Belgrade site, and as a founding team for our multi-year journey to achieve our Lakehouse vision.

Responsibilities

• Drive requirements clarity and design decisions for ambiguous problems
• Produce technical design documents and project plans
• Develop new features
• Mentor more junior engineers
• Test and rollout to production, monitoring

Requirements

• BS in Computer Science or equivalent practical experience in databases or distributed systems
• Comfortable working towards a multi-year vision with incremental deliverables
• Motivated by delivering customer value and impact
• 8+ years of production-level experience in either Java, Scala, or C++
• Solid foundation in algorithms and data structures and their real-world use cases
• Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop)

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

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We are looking for a software engineer to join our team as a founding member of our Belgrade site. As a software engineer, you will be involved in the entire development cycle and exemplify all core Databricks values.

The responsibilities you will have:

• Drive requirements clarity and design decisions for ambiguous problems
• Produce technical design documents and project plans
• Develop new features
• Mentor more junior engineers
• Test and rollout to production, monitoring

What we look for:

• BS in Computer Science or equivalent practical experience in databases or distributed systems
• Comfortable working towards a multi-year vision with incremental deliverables
• Motivated by delivering customer value and impact
• 3+ years of production level experience in either Java, Scala or C++
• Solid foundation in algorithms and data structures and their real-world use cases
• Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop)

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.

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Our backend teams span many domains across our essential service platforms. You will work on problems that span from product to infrastructure, including distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.

To succeed in this role, you will need a BS (or higher) in Computer Science, or a related field, and 3+ years of production level experience in one of: Java, Scala, C++, or similar language. You will also need experience developing large-scale distributed systems, experience working on a SaaS platform or with Service-Oriented Architectures, and knowledge of SQL.

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Responsibilities:

• Drive requirements clarity and design decisions for ambiguous problems
• Produce technical design documents and project plans
• Develop new features
• Mentor more junior engineers
• Test and rollout to production, monitoring

Requirements:

• Passion for database systems, storage systems, distributed systems, language design, or performance optimization
• Comfortable working towards a multi-year vision with incremental deliverables
• Customer-oriented and focused on having an impact
• 5+ years of experience working in a related system
• Optional: PhD in databases or distributed systems

Benefits:

• Comprehensive benefits and perks that meet the needs of all employees
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

At Databricks, we strive to provide a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

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To be successful in this role, you will need a BS in Computer Science or equivalent practical experience in databases or distributed systems, comfort working towards a multi-year vision with incremental deliverables, motivation by delivering customer value and impact, and 5+ years of production-level experience in either Java, Scala, or C++. You should also have a solid foundation in algorithms and data structures and their real-world use cases, experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop), and a strong understanding of software engineering principles and practices.

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.

Our commitment to diversity and inclusion is a key part of our culture, and we take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

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Our backend teams span many domains across our essential service platforms. You might work on challenges such as:

• Distributed systems, at-scale service architecture and monitoring, workflow orchestration, and developer experience.

• Building reliable, secure, and high-performance services and client libraries for storing and accessing humongous amounts of data on cloud storage backends, e.g., AWS S3, GCS, Azure Blob Store.

• Developing product features that empower our customers to easily store and access their data.

To succeed in this role, you will need:

• A Bachelor's degree in Computer Science or a related field.

• 5+ years of production-level experience in one of Java, Scala, C++, or similar languages.

• Experience developing large-scale distributed systems.

• Experience working on a SaaS platform or with Service-Oriented Architectures.

• Knowledge of SQL.

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.

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Our ideal candidate has a passion for database systems, storage systems, distributed systems, language design, or performance optimisation. They should be comfortable working towards a multi-year vision with incremental deliverables and be customer-oriented with a focus on having an impact. A minimum of 5 years of experience working in a related system is required, with a PhD in databases or distributed systems being optional.

In return, we offer a comprehensive benefits package and a commitment to diversity and inclusion. If you're excited about the opportunity to join our team and contribute to the development of next-generation database systems, please apply.

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Our mission at Databricks is to simplify the data lifecycle from ingestion to ETL, BI, and ML/AI with a unified platform. We believe the data warehouse architecture will be replaced by a new architectural pattern, Lakehouse, which unifies data warehousing and advanced analytics.

The new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. To achieve this vision, we are building a decoupled query engine and structured storage system that can outperform specialized data warehouses in relational query performance.

As a Staff Software Engineer, you will design these next-generation systems that leapfrog state-of-the-art within the following areas:

• Query compilation and optimization
• Distributed query execution and scheduling
• Vectorized execution engine
• Data security
• Resource management
• Transaction coordination
• Efficient storage structures (encodings, indexes)
• Automatic physical data optimization

Your responsibilities will include driving requirements clarity and design decisions for ambiguous problems, producing technical design documents and project plans, developing new features, mentoring more junior engineers, testing and rolling out to production, and monitoring.

We look for a passion for database systems, storage systems, distributed systems, language design, or performance optimization. You should be comfortable working towards a multi-year vision with incremental deliverables, be customer-oriented and focused on having an impact, and have 7+ years of experience working in a related system. A PhD in databases or distributed systems is optional.

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From statistical models all the way down to deep and foundational models, feature augmentation and auto-tuning, our Applied ML/AI team works on some of the most complex, most interesting problems facing businesses, making Databricks' infrastructure and products as performant and cost-efficient as possible.

This is a high-impact problem as our customers look at us to deliver the most out of their data.

Key responsibilities include:

• Building features and running end-to-end systems in a small team of experienced engineers and data scientists.
• Shaping the direction of our applied ML investment by engaging with engineering and product teams across the company.
• Driving the development and deployment of state-of-the-art ML/AI models and systems that directly impact the capabilities and performance of Databricks’ products, infrastructure, and services.
• Architecting and implementing robust, scalable ML infrastructure, including model training and serving components to support seamless integration of AI/ML models into production environments.
• Working on novel modeling techniques in the field of ML for forecasting.

What we look for:

• 2-8 years of machine learning engineering experience in high-velocity, high-growth companies.
• Strong understanding of both computer systems and statistics.
• Experience developing AI/ML systems at scale in production.
• Strong track record of ML modeling that goes beyond using standard libraries.
• Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews, and deployment.
• A large breadth of knowledge or willingness to develop mathematical modelling beyond the ML.

Why Join Us?

At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.

If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!

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What you'll do

You will work closely with experienced engineers to help design, build, and operate robust infrastructure and backend services that keep Perplexity fast, reliable, and scalable.

• Build and maintain infrastructure that supports high-performance search systems, with mentorship from senior engineers.
• Design internal tools and automation to improve developer workflows and operational efficiency.
• Support the design, deployment, and monitoring of cloud-native systems on AWS.
• Contribute to improving CI/CD pipelines, testing infrastructure, and release processes.
• Debug and optimize Linux-based services, containers, and backend systems.
• Contribute to product codebases, primarily using Rust, Go or C++.

What you need

• Working towards a degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Familiarity with at least one programming language such as Go, Rust, or C/C++, through coursework or projects.
• Basic understanding or exposure to cloud infrastructure (e.g. AWS) and Linux systems is a plus, not a requirement.
• Interest in infrastructure, distributed systems, or backend engineering, with willingness to learn about CI/CD, monitoring, and performance.
• A proactive and curious learner who enjoys collaborating in a fast-paced, innovative environment

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What you'll do

As a Senior Machine Learning Engineer, you will be responsible for pushing search quality forward through models, data, tools, or any other leverage available.

• Relentlessly push search quality forward—through models, data, tools, or any other leverage available
• Architect and build core components of our search platform and model stack
• Train and evaluate retrieval, ranking and classification models, including LLMs
• Deploy models - from boosting to LLMs - in a scalable and performant way
• Build and optimise RAG pipelines for grounding and answer generation
• Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery

What you need

• Deep understanding of search and retrieval systems, including quality evaluation principles and metrics
• Proven track record with large-scale search or recommender systems
• Self-driven, with a strong sense of ownership and execution
• Minimum of 5 years of working on search or recsys-related projects

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What you'll do

As a Senior Infrastructure Engineer, you will be responsible for building and maintaining core systems that power Perplexity's products and development workflows. This will involve developing internal tools and automation to streamline developer workflows and operational efficiency.

• Build and maintain robust, scalable infrastructure to support high-performance search systems
• Develop internal tools and automation to streamline developer workflows and operational efficiency

What you need

To be successful in this role, you will need to have a strong background in cloud infrastructure, systems design, and automation. You will also need to have a deep understanding of Linux internals, performance tuning, and debugging.

• Strong background in cloud infrastructure (AWS preferred), systems design, and automation
• Deep understanding of Linux internals, performance tuning, and debugging

Why this matters

This role is critical to ensuring the high-quality product that Perplexity delivers. Your passion and diligence will be essential in ensuring that the company's products meet the highest standards.

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What you'll do

In this role, you will take ownership of and lead projects focused on developing large-scale web crawlers, ingestion pipelines, and data processing systems. You will build, maintain, and optimize core backend and frontend components for crawler services, including storage, retrieval, and UI dashboards for data management.

• Take ownership of and lead projects focused on developing large-scale web crawlers, ingestion pipelines, and data processing systems.
• Build, maintain, and optimize core backend and frontend components for crawler services, including storage, retrieval, and UI dashboards for data management.

What you need

• Minimum of 5 years of software development experience, with strong knowledge of data structures and algorithms in at least one of the following languages: Python, C++, Rust, or Go.
• Experience with large-scale web crawlers is highly desirable.
• Proven experience building, deploying, and optimizing high-load, distributed, and hardware-adjacent services.
• Deep understanding of cloud infrastructure, with hands-on experience in Kubernetes (K8s) and AWS.
• Demonstrated passion for writing clean, efficient, and scalable systems.

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What you'll do

You will be responsible for developing new types of search index storage, including streaming and batch data processing systems in a high-load environment capable of handling billions of pages. You will also build new core search components, including algorithms for efficient retrieval and ranking, and push the limits of hardware performance.

• Develop new types of search index storage, including streaming and batch data processing systems in a high-load environment capable of handling billions of pages
• Build new core search components, including algorithms for efficient retrieval and ranking
• Push the limits of hardware performance

What you need

• 5+ years of hands-on experience in C++ development
• Knowledge of Python or other scripting languages
• Passion for writing clean, efficient, and scalable C++ code
• Strong knowledge of algorithms and data structures, and the ability to apply them effectively
• Deep understanding of multithreading, including various approaches, challenges, and trade-offs

Why this matters

This role is critical to building next-generation search products and technologies. You will help drive key decisions around the architecture, design, and implementation of foundational components in their technical stack.

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What you'll do

You will be responsible for designing highly scalable infrastructure, building systems, tools and performing testing, monitoring, and maintenance. Our backend stack includes Python, Go, Rust, PostgreSQL, DynamoDB, Redis, and Kubernetes - built alongside dedicated in-house AI and search interfaces.

• Design and implement highly available, high-performance, and scalable systems.
• Design and implement various tools for other engineers helping them with their day to day job.
• Design and implement CI/CD and other workflows to enhance stability, robustness and speed of iteration.
• Maintain and optimise key-value and relational databases.
• Scale and load balance web server backends to meet rapidly changing needs.
• Monitor systems and applications, proactively identifying and resolving reliability, scalability, or performance issues.
• Develop monitoring tools, alerts, and dashboards to provide visibility into system health and performance.

What you need

• Strong experience with cloud infrastructure built on AWS.
• Proficient in database management and caching strategies.
• Excellent problem-solving and troubleshooting skills, with the ability to analyse, debug, and resolve complex technical issues.
• Experience working with containers (Docker, Kubernetes) and orchestration tools.
• Excellent communication and collaboration skills.
• Experience with Python and Terraform.
• 3+ years of DevOps/SRE/System Administration experience.

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What you'll do

You'll find and diagnose quality issues in our search pipeline, design metrics from scratch to track and measure search quality, build datasets for model training, including LLM-as-a-judge labeling pipelines, improve search snippet quality and page selection algorithms for indexing, and design and analyze A/B experiments to validate improvements.

What you need

• 4+ years of experience as a data analyst or in a related role
• Strong coding skills — expected to write production-grade code at a mid-level backend engineer level
• Proficiency with SQL and Python
• Demonstrated hands-on experience with at least one of the following: designing metrics from scratch (not just analyzing existing A/B experiments), building labeling pipelines using LLM-as-a-judge, training ML models that shipped to production with measurable metric improvements, or designing evals with known ground truth (e.g. SimpleQA, BrowseComp) or driving meaningful improvements on such evals

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What you'll do

• Contribute to experiments that improve search quality through better models, data usage, and evaluation tools, under the guidance of senior engineers.
• Design and implement components of the search platform and model stack, including retrieval, ranking, and classification models.
• Train evaluating models (including LLM-based approaches) for retrieval, ranking, and classification tasks.
• Support deployment and monitoring of search and ranking models in a scalable and performant way.
• Help build and iterate on RAG pipelines for grounding and answer generation.
• Collaborate with Data, AI, Infrastructure and Product teams to deliver improvements quickly and learn best practices in production ML.

What you need

• Strong foundation in machine learning and statistics, with coursework or projects related to information retrieval, ranking, or recommender systems.
• Experience with Python and common ML frameworks (e.g. PyTorch, TensorFlow, JAX) through academic, open source, or personal projects.
• Familiarity with evaluating model quality using offline metrics and/or A/B testing is a plus, but not required.
• Previous experience (internships, research, or significant projects) working on search, recommendation, or NLP is a plus, but not required.
• Self-driven and curious, with a strong sense of ownership, willingness to learn, and comfort working in a fast-paced environment
• Experience with Rust will be a plus

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