As a Strategic Enterprise Account Executive, you will bring an informed and compelling point of view on the Big Data, Advanced Analytics, and AI space, guiding your strategy to provide exceptional value to customers in the Swiss Pharma/Life-Science sector.

Your impact will include:

• Designing and developing unique use cases and solutions that differentiate Databricks
• Co-developing a business plan to accelerate customer success, identify new opportunities, and exceed usage and booking goals
• Motivating a diverse team of big data and AI professionals to implement your business plan
• Leading customers and partners to identify impactful big data and AI use cases
• Supporting broader big data and AI transformation goals through strategic partnerships and executive engagement

We look for:

• True sales leaders with accountability, sales execution, and operational excellence skills
• Experience in direct sales of enterprise software platforms to large enterprises
• Executive-level relationships with clients
• Extensive experience working with regulated organisations
• Knowledge of the Data + AI space with technology sales experience
• Quota over-achievement and significant growth in complex software and services sales
• Experience driving adoption of usage-based subscription services and co-selling with cloud teams
• Familiarity with sales methodologies and processes
• Native level German and fluent English

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The impact you will have:

• Provide industry insight and business creativity to design and develop unique use cases and solutions that differentiate Databricks within the Insurance segment.
• Co-develop a business plan with your team and ecosystem partners to accelerate existing customer success, identify and acquire new opportunities, and exceed quarterly/annual usage and booking goals.
• Motivate a diverse team of big data and AI professionals to implement your business plan.
• Lead your team, customers, and partners to identify impactful big data and AI use cases and prove their value on the Databricks Data Intelligence Platform.
• Support the broader big data and AI transformation goals of your customers through strategic partnerships, professional services, training, and Executive engagement.
• Build exceptional value with all engagements to guide successful negotiations to close.

What we look for:

• True sales leader with skills in accountability and ownership, sales execution, and operational excellence.
• Experience in direct sales of enterprise software platforms to large enterprises.
• Ownership of executive-level relationships with clients.
• Extensive experience working with large, complex, regulated organisations.
• Knowledge of the Data + AI space with technology sales experience.
• Quota over-achievement and significant growth when selling complex software and services to Enterprise accounts.
• Experience driving successful adoption of usage-based subscription services (SaaS) and co-selling with AWS, Azure, and Google Cloud teams.
• Familiarity with sales methodologies and processes (e.g., Territory and Account planning, MEDDPICC, Challenger Sales).
• Experience developing partnerships with champions and client teams to support execution of your territory plan.
• Native level German and fluent English.

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.

Our Commitment to Diversity and Inclusion: At Databricks, we are committed to fostering 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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Responsibilities

Office Operations & Building Management

• Coordinate with and manage vendors who handle day-to-day operations and maintenance of the Zurich office, including janitorial services, deliveries, office supplies, and building repairs
• Address workplace issues promptly (elevator down, restroom flood, HVAC failure, refrigerator not cooling, etc.), engaging the right vendor and keeping colleagues informed until the issue is resolved
• Conduct minor repairs and hands-on maintenance tasks; coordinate vendors for more complex work
• Support HVAC, preventive maintenance schedules, and building system upkeep
• Manage workstation setups for new hires and team changes, including monitors, monitor arms, and ergonomic equipment
• Support office moves, restacks, furniture reconfigurations, and space planning as the team grows
• Partner with Security on emergency response support and help maintain compliance with local safety codes, permits, and inspections

Employee Experience & Hospitality

• Own the day-to-day employee experience for the Zurich office , you are the face of the office and the first point of contact for how things work
• Ensure new hires have a seamless first-day experience: desk ready, equipment set up, office tour, and a warm welcome
• Manage food and beverage programming, including snacks, coffee, catering for meetings, and team meals, keeping offerings fresh and responsive to employee preferences
• Monitor and proactively improve the in-office experience through regular walkthroughs, employee feedback, and observation , fix what is not working before it becomes a ticket
• Respond to requests in our internal ticketing system within SLAs, providing a high level of service through clear, timely, and empathetic communication
• Develop and preserve office culture, norms, and the hospitality standard that makes Zurich feel like an Anthropic office

Events & Programming

• Plan and execute local office events: team gatherings, holiday celebrations, milestone moments, happy hours, and visiting-executive hospitality
• Coordinate with the broader Workplace, People, and Experience teams on company-wide events that have a Zurich component (All-Hands watch parties, offsites, team-building activities)
• Own event logistics end-to-end: space setup, catering, A/V, vendor coordination, budget tracking, and post-event teardown
• Support visiting teams and executives with workspace setup, local recommendations, and logistics
• Bring a hospitality mindset to every event and meeting setup, ensuring the space is welcoming and well-prepared

Cross-Functional Coordination & Process

• Partner closely with People Operations, Security, the global Workplace team, IT/AV and local vendors to keep the office running smoothly
• Help maintain and improve Standard Operating Procedures so that recurring processes scale as the office and team grow
• Manage multiple competing priorities with clear judgment on what matters most
• Surface issues, risks, and facility needs to the global Workplace team early and clearly

Requirements

Minimum Qualifications

• Have 5+ years of experience in workplace coordination, office management, hospitality, or building operations
• Have working knowledge of building systems like HVAC, elevators, plumbing, and lighting, and can supervise maintenance, repairs, and services
• Bring a service-minded, solutions-oriented approach and genuinely enjoy being the person who makes things work
• Have experience managing food and beverage service, catering, or hospitality programming in an office setting
• Are comfortable independently managing an office , you have been the sole workplace person at a site before, or are ready to be
• Enjoy rolling up your sleeves, with no task too big or too small
• Have excellent organisational and communication skills, and can manage many competing priorities

Preferred Qualifications

• Have managed workplace projects or programs (HVAC, preventive maintenance, office moves, events) in a multi-building or high-growth environment
• Have planned and executed office events, from small team gatherings to larger company celebrations
• Have experience at a high-growth technology company where processes are being built in real time
• Be interested in artificial intelligence and care that it is developed safely and beneficially
• Have experience managing permit, license, and inspection requirements

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Responsibilities

Office Operations & Building Management

• Coordinate with and manage vendors for day-to-day operations and maintenance of the Zurich office.
• Address workplace issues promptly and engage the right vendor.
• Conduct minor repairs and hands-on maintenance tasks.
• Support HVAC and preventive maintenance schedules.
• Manage workstation setups for new hires and team changes.
• Support office moves and space planning.
• Partner with Security on emergency response support.

Employee Experience & Hospitality

• Own the day-to-day employee experience for the Zurich office.
• Ensure new hires have a seamless first-day experience.
• Manage food and beverage programming.
• Monitor and improve the in-office experience.
• Respond to requests in the internal ticketing system.
• Develop and preserve office culture.

Events & Programming

• Plan and execute local office events.
• Coordinate with the broader Workplace, People, and Experience teams on company-wide events.
• Own event logistics end-to-end.
• Support visiting teams and executives.

Cross-Functional Coordination & Process

• Partner closely with People Operations, Security, and the global Workplace team.
• Help maintain and improve Standard Operating Procedures.
• Manage multiple competing priorities.
• Surface issues, risks, and facility needs to the global Workplace team.

Minimum Qualifications

• Have 5+ years of experience in workplace coordination, office management, hospitality, or building operations.
• Have working knowledge of building systems.
• Bring a service-minded, solutions-oriented approach.
• Have experience managing food and beverage service.
• Are comfortable independently managing an office.
• Enjoy rolling up your sleeves.
• Have excellent organisational and communication skills.

Preferred Qualifications

• Have managed workplace projects or programs.
• Have planned and executed office events.
• Have experience at a high-growth technology company.
• Be interested in artificial intelligence.
• Have experience managing permit, license, and inspection requirements.

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You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy.

The Impact You Will Have

• Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
• Lead complex architecture discussions , designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics
• Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
• Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions
• Develop and declare an emerging technical specialization (archetype) , becoming a go-to resource for your team in that domain
• Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs
• Influence product direction by providing structured feedback on customer requirements and competitive gaps

What We Look For

• 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
• Strong coding proficiency in Python and SQL , you must demonstrate live coding, debugging, and solution-building skills
• Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
• Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
• Proven ability to lead architecture discussions with senior technical stakeholders , whiteboarding, design reviews, and trade-off analysis
• Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
• Track record of driving platform adoption and consumption growth within accounts
• Excellent communication skills , able to translate complex architectures into business value for both technical and executive audiences
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)

Nice to Have:

• Databricks certifications (Data Engineer, ML, Platform)
• Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) , understanding the landscape you'll position against
• Background in a data/AI company or cloud provider
• Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)

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The IT Operations team at Anthropic keeps the organisation running smoothly. We are looking for an IT Support Engineer who can pair strong technical skills with a service mindset and good judgment. As Anthropic grows rapidly, the IT team needs to keep pace by onboarding at scale, automating repetitive work, and improving the day-to-day employee experience.

The successful candidate will handle support across our mostly macOS environment and contribute to operational work that enables scaling. They will work closely with IT Engineering and Security, with opportunities to grow into more technical infrastructure work over time. This role involves real ownership, using judgment to improve processes, and growing with the team as we scale.

Key responsibilities

• Triage and resolve issues across hardware, software, networking, and accounts
• Diagnose and fix issues across macOS, ChromeOS, iOS, Android, and core SaaS platforms like Google Workspace, Slack, GitHub, and Atlassian
• Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement
• Support access management and employee lifecycle workflows
• Handle escalations requiring cross-team coordination
• Participate in on-call rotation for urgent issues outside business hours
• Provide hands-on support for user technology, AV systems, conference rooms, and printers
• Communicate clearly with users at various technical levels
• Write and maintain internal documentation
• Identify patterns in support requests and opportunities for automation
• Streamline onboarding and other high-volume operations
• Contribute to automation efforts
• Maintain and improve device management, identity, and access systems
• Write scripts in Bash or Python to automate repetitive tasks

Minimum qualifications

• Hands-on IT support experience, preferably in a fast-paced environment
• Experience supporting macOS endpoints and comfort with ChromeOS, iOS, and Android
• Experience with Google Workspace administration
• Experience with Slack administration
• Understanding of identity and access fundamentals
• Familiarity with MDM fundamentals and endpoint management concepts
• Basic scripting skills in Bash or Python
• Strong troubleshooting skills and clear communication abilities

Preferred qualifications

• Familiarity with zero-trust security concepts and endpoint security tooling
• Networking basics: DNS, DHCP, VPNs
• Experience with IT projects beyond day-to-day support
• Experience using AI tools to improve productivity
• Interest in developing deeper technical skills

Logistics

• Minimum education: Bachelor’s degree or equivalent
• Required field of study: Relevant to the role
• Minimum years of experience: Correlates with internal job level requirements
• Location-based hybrid policy: 25% office time
• Visa sponsorship: Available

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You'll partner with engineering, product, and design teams to build, evaluate, and iterate on scalable solutions that help Pinners find relevant, inspiring content.

In this role, you'll grow your technical expertise while contributing to reliable, high-impact systems.

Responsibilities:

• Conduct applied machine learning research to address product and platform challenges at Pinterest.
• Collect, analyze, and synthesize data to develop data-driven machine learning models.
• Write maintainable, efficient code and contribute to testing and code-review practices.
• Apply machine learning techniques, including natural language processing and graph-based approaches, to modeling and ranking challenges across discovery, ads, and search.
• Design, build, and test recommendation and engagement-prediction models that improve push, email, and in-app notification experiences.
• Develop and iterate on large-scale applied machine learning systems, using evaluation results to improve model performance and reliability.
• Scope, implement, and deliver solutions for moderately complex ML problems, escalating risks and tradeoffs as needed.

Requirements:

• Master's in Computer Science, ML, NLP, Statistics, Information Sciences, or related field required.
• Machine Learning experience (ranking, computer vision, NLP, content recommendations, embedding, information retrieval, etc.).
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable real-time systems that process stream data.
• Mastery of at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow).
• Cross-functional collaborator and strong communicator.
• Comfortable solving ambiguous problems and adapting to a dynamic environment.
• Experience in research and in solving analytical problems.

Benefits:

• The minimum and maximum salary for this position is $133,600-153,600.
• Relocation assistance may be eligible.
• In-office requirement: 2-3 weekdays per week in the Zurich office.

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The IT Operations team at Anthropic is seeking an IT Support Engineer who can provide technical support while ensuring a smooth employee experience. You will work closely with IT Engineering and Security teams to handle support requests, automate repetitive tasks, and improve processes.

Key Responsibilities

• Triage and resolve technical issues across hardware, software, networking, and accounts
• Diagnose and fix issues in macOS, ChromeOS, iOS, Android, and core SaaS platforms like Google Workspace, Slack, GitHub, and Atlassian
• Troubleshoot device issues including enrollment, configuration profiles, and policy enforcement
• Support access management and employee lifecycle workflows
• Handle escalations requiring cross-team coordination and participate in on-call rotations for urgent issues
• Provide hands-on support for user technology, AV systems, conference rooms, and printers
• Communicate effectively with users at various technical levels
• Write and maintain internal documentation and spot patterns in support requests to identify areas for improvement
• Streamline onboarding and other high-volume operations, contribute to automation efforts, and maintain device management systems
• Write scripts in Bash or Python to automate repetitive tasks

Minimum Qualifications

• Hands-on IT support experience, preferably in a fast-paced environment
• Experience supporting macOS endpoints and other operating systems
• Google Workspace and Slack administration experience
• Understanding of identity and access fundamentals, MDM, and endpoint management
• Basic scripting skills in Bash or Python
• Strong troubleshooting and communication skills

Preferred Qualifications

• Familiarity with zero-trust security concepts and endpoint security tooling
• Networking basics: DNS, DHCP, VPNs
• Experience with IT projects beyond day-to-day support
• Familiarity with AI tools
• Interest in developing deeper technical skills

Logistics

• Minimum education: Bachelor’s degree or equivalent
• Location-based hybrid policy: 25% office time
• Visa sponsorship available

Benefits

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space

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As a Senior/Staff Security Engineer on Anthropic's Detection and Response team, you will help build and enhance our detection and response capabilities from the ground up. You will work closely with our security and research teams to spot threats and respond to incidents across every layer of Anthropic's technology stack.

Key Responsibilities

• Lead incident response across various domains, including external attacks and insider threats, spanning all layers of Anthropic's technology stack.
• Build and deploy tooling, including tools that use large language models, to improve detection and response to threats.
• Create and fine-tune detections, playbooks, and workflows to quickly catch and respond to incidents.
• Review incident response metrics and procedures, driving improvements.
• Collaborate across security and engineering teams.
• Participate in an on-call rotation.

Minimum Qualifications

• Experience handling security incidents and investigating anomalies as part of a team.
• Working knowledge of EDR, SIEM, SOAR, or similar security tooling.
• Solid understanding of cloud environments and operations.
• Experience working with engineering teams in a SaaS environment.
• Proficiency with a scripting language such as Python and query languages such as SQL.
• Strong communication and collaboration skills.
• Ability to lead projects with little guidance.
• Ability to quickly pick up new languages and technologies.

Preferred Qualifications

• 7+ years of software engineering experience, or 7+ years of detection engineering, incident response, or threat hunting experience.
• Security operations or investigations involving large-scale Kubernetes environments.
• Experience analyzing attack behavior and prototyping high-quality detections.
• Experience with threat intelligence, malware analysis, infrastructure as code, or forensics.
• Experience contributing to a high-growth startup environment.

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.
• Required field of study: A field relevant to the role.
• Location-based hybrid policy: Staff are expected to be in one of our offices at least 25% of the time.
• Visa sponsorship: Available, with efforts made to secure visas for successful candidates.

Benefits

• Competitive compensation and benefits.
• Optional equity donation matching.
• Generous vacation and parental leave.
• Flexible working hours.
• Lovely office space.

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As Anthropic's models grow more capable, so does the interest of people who want to attack or misuse them. The Detection and Response (D&R) team spots those threats and responds to incidents across every layer of Anthropic's technology stack.

The team is early-stage, so you'll help build our detection and response capabilities from the ground up and work closely with our security and research teams.

Key responsibilities

• Lead incident response across a range of domains, from external attacks to insider threats, spanning all layers of Anthropic's technology stack
• Build and deploy tooling, including tools that use large language models, to improve how we detect and respond to threats
• Create and tune detections, playbooks, and workflows to catch and respond to incidents quickly
• Review incident response metrics and procedures, and drive improvements
• Work across security and engineering teams
• Take part in an on-call rotation

Minimum qualifications

• Experience handling security incidents and investigating anomalies as part of a team
• Working knowledge of EDR, SIEM, SOAR, or similar security tooling
• A solid understanding of cloud environments and operations
• Experience working with engineering teams in a SaaS environment
• Proficiency with a scripting language such as Python and query languages such as SQL
• Strong communication and collaboration skills
• Able to lead projects with little guidance
• Able to pick up new languages and technologies quickly

Preferred qualifications

• 7+ years of software engineering experience, or 7+ years of detection engineering, incident response, or threat hunting experience
• Security operations or investigations involving large-scale Kubernetes environments
• Experience analyzing attack behavior and prototyping high-quality detections
• Experience with threat intelligence, malware analysis, infrastructure as code, or forensics
• Experience contributing to a high-growth startup environment

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

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As a Sr. Delivery Solutions Architect, you will partner with Sales, Solutions Architecture, and Field Engineering to accelerate the adoption, growth, and strategic impact of Databricks with our most complex customers.

You will serve as a senior technical advisor, helping customers design, implement, scale, and optimize complex data and AI solutions across business units, geographies, and product areas.

The Impact You Will Have

• Define technical execution strategy across high-value, complex customer accounts spanning multiple use cases, business units, geographies, or product areas
• Serve as a senior technical advisor to customer architects, technical leaders, and Director/VP-level stakeholders
• Design and influence secure, governed, scalable architectures while balancing performance, cost, reliability, and long-term platform strategy
• Orchestrate Databricks, customer, and implementation partner teams to align technical execution and accelerate strategic outcomes
• Anticipate platform maturity and scaling needs and establish technical standards for security, governance, developer experience, and operational excellence
• Drive adoption, consumption, and measurable business outcomes through technical strategy and execution
• Lead complex technical escalations spanning multiple systems, teams, or workloads
• Build reusable technical frameworks, solutions, and assets that scale across customers, teams, or regions
• Mentor DSAs and contribute to technical enablement, specialization, and thought leadership

What We Look For

• 8+ years in solutions architecture, technical consulting, professional services, data engineering, or a related senior technical role
• Demonstrated experience leading technical strategy and architecture for high-value or highly complex customer environments
• Experience navigating complex programs across multiple business units, product areas, geographies, or technical workstreams
• Deep expertise in one or more Data and AI domains, with strong knowledge of distributed data systems and cloud architectures
• Strong coding proficiency in Python, SQL, Scala, or similar languages
• Experience designing secure, governed, scalable, and production-ready architectures across cloud and enterprise environments
• Ability to solve complex technical problems using first-principles thinking, structured analysis, and technical experimentation
• Demonstrated ability to influence senior technical stakeholders and executive audiences and de-escalate complex customer situations
• Strong cross-functional leadership and stakeholder management skills, with the ability to orchestrate teams without formal authority
• Track record of driving customer adoption, consumption, and measurable business outcomes through technical leadership
• Experience creating reusable technical frameworks, assets, or programs that extend impact beyond individual customer engagements
• Bachelor's degree in Computer Science, Engineering, or equivalent experience

Nice to Have

• Databricks experience or certification
• Recognized expertise in a Data and AI specialization or competitive technology
• Experience influencing product direction through structured customer feedback
• External technical thought leadership through blogs, conferences, summits, seminars, or industry events
• Experience mentoring technical talent or leading enablement across teams or regions

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As a Delivery Solutions Architect (DSA), you will partner with Sales, Solutions Architecture, and Field Engineering to accelerate adoption and growth of the Databricks platform. You will serve as a trusted technical advisor, helping customers design, implement, scale, and optimize data and AI solutions that deliver measurable business value.

The Impact You Will Have

• Define and influence technical execution strategies across complex use cases and multiple workstreams within strategic accounts
• Serve as a trusted technical advisor to customer technical leads and architects, leading architecture discussions and guiding technical decisions
• Design secure, governed, and scalable Databricks architectures while balancing performance, cost, reliability, and long-term needs
• Build and demonstrate working solutions, prototypes, and reusable technical assets that accelerate customer outcomes
• Anticipate platform maturity and scaling needs and establish best practices for security, governance, and operational excellence
• Drive adoption and consumption by influencing architecture, unblocking delivery, and connecting technical execution to business outcomes
• Partner across Databricks, customer, and implementation teams to align resources, manage risks, and accelerate delivery
• Mentor peers and contribute reusable technical guidance, frameworks, and enablement across the organization

What We Look For

• 5+ years in solutions architecture, solutions engineering, technical consulting, professional services, data engineering, or a related technical role
• Experience in influencing technical strategy and architecture across complex customer use cases or multiple workstreams
• Strong coding proficiency in Python, SQL, Scala, or similar languages, with the ability to build, debug, and validate technical solutions
• Deep understanding of distributed data systems, data engineering, analytics, data warehousing, AI/ML, and modern cloud architectures
• Experience designing secure, governed, scalable, and production-ready data solutions
• Ability to solve ambiguous technical problems, evaluate trade-offs, and validate solutions through structured analysis or experimentation
• Experience leading architecture discussions with technical leads, architects, and senior customer stakeholders
• Strong understanding of platform operational excellence, including security, governance, performance, reliability, and cost optimization
• Demonstrated ability to drive customer adoption, consumption, and measurable business outcomes through technical leadership
• Strong stakeholder management and cross-functional leadership skills, with the ability to align teams without formal authority
• Bachelor's degree in Computer Science, Engineering, or equivalent experience

Nice to Have

• Databricks experience or certification
• Developing expertise in a technical specialization such as AI/ML, data engineering, streaming, data warehousing, governance, or migrations
• Experience with AWS, Azure, or GCP and production cloud deployments
• Experience creating reusable technical frameworks, demos, or enablement that scale across teams

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We're looking for inquisitive, collaborative interns to join our engineering teams in Zurich. As a Software Engineering Intern, you will work closely with mentors and product, design, data, and engineers to learn how large-scale systems operate and play a meaningful role in building new technologies, features, and tools.

Responsibilities

• Complete assigned technical projects with attention to quality, incorporating feedback from your mentor, manager and peers
• Execute scoped technical tasks end-to-end that contribute to Pinterest products and infrastructure
• Deliver code that is well-documented, tested, and operable
• Share ideas, questions and perspectives clearly and respectfully while learning from feedback
• Build technical and professional skills through learning and development opportunities
• Collaborate with your team and contribute to production-oriented projects that support Pinterest’s goals
• Leverage opportunities to connect with leaders and colleagues across Pinterest and participate in intern program events
• Foundational exposure to AI concepts or AI-assisted software development through coursework, projects, internships or practical experience
• Interest in learning how to use AI-powered technologies responsibly to improve product development, while validating outputs through testing, review and engineering judgment

Requirements

• Current enrollment in a school or education program in which the individual is working towards a Bachelor’s in Computer Science or related technical field
• Obtain Bachelor's in Computer Science or related technical field by June 2028
• Ability to demonstrate an understanding of computer science fundamentals, including data structures and algorithms
• Familiarity using AI as a learning, productivity, and engineering tool, and as an iterative coding partner, to accelerate engineering work while exercising strong judgment around accuracy, security, and when to ask for help
• Experience with one or more programming languages such as Python, Java, JavaScript/TypeScript, Go, or C++, and familiarity with relevant frameworks, tools, or technologies such as React or similar
• Non-academic coding experience (i.e. hackathons, code challenges, personal projects, GitHub, Open Source, volunteer coding experience, conference participation, etc.)
• A curious nature with a desire to tackle and solve complex problems

In-Office Requirement

• This onsite internship will be based in our Zurich office requiring a few days in office. Our program will run in a full-time capacity during typical business hours between Monday-Friday
• This role will need to be in the office for in-person collaboration 2-3 weekdays per week and therefore needs to be within a commutable distance of Zurich

Relocation Statement

• This position may be eligible for relocation assistance. Visit our PinFlex page to learn more about our working model

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You’ll work with engineering, product and data teams to prototype, evaluate and improve ML-powered features and discovery experiences.

Throughout your internship, you’ll contribute to real projects, learn how large-scale ML systems are developed and build practical skills with guidance from experienced engineers.

Responsibilities

• Own a scoped machine learning project from problem definition through experimentation, implementation and communication of results, with guidance from your manager and team
• Contribute to applied machine learning and AI research that informs Pinterest product experiences
• Collect, analyze and synthesize data to develop data-driven machine learning models
• Write clean, efficient and maintainable code, supported by appropriate documentation and testing
• Apply relevant machine learning techniques, including natural language processing or graph-based approaches, to modeling and ranking problems across discovery, ads and search
• Break down scoped technical problems, propose approaches and implement solutions with guidance from the team
• Deliver assigned project milestones, share progress and findings with teammates and seek guidance when needed

Requirements

• Working towards a Master's or PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field
• Experience with machine learning (ranking, computer vision, NLP, content recommendations, embedding, information retrieval etc)
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
• Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
• Experience in research and in solving analytical problems
• Strong communicator and team player with the ability to find solutions for open-ended problems

Benefits

• This position may be eligible for relocation assistance
• In-office collaboration 2-3 weekdays per week

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You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.

The impact you will have:

• Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration.
• Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications.
• Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
• Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics, or software engineering.
• Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks.
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
• Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals.
• Familiarity with CI/CD for production deployments.
• Working knowledge of MLOps, ML/AI models and AI APIs.
• Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
• Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
• Documentation and white-boarding skills.
• Experience working with enterprise clients and managing conflicts across a broad stakeholder range.
• Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time.
• Databricks Certification.

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The Security team at Anthropic protects the company's AI systems and maintains user trust. As a Research Engineer on the team, you will help advance the capabilities of models in secure coding, vulnerability remediation, and other defensive cybersecurity areas.

This role combines research and engineering. You will develop new approaches and build them in code. Your work will include designing and implementing RL environments, running experiments and evaluations, delivering work into production training runs, and collaborating with researchers, engineers, and cybersecurity specialists.

The role requires domain expertise in cybersecurity and an interest or experience in training safe AI models. You might be a security researcher curious about LLMs, a security engineer interested in AI-enhanced system hardening, or a detection and response professional exploring AI-improved defensive workflows.

Key Responsibilities

• Design, build, and maintain RL environments and evaluations to measure and improve model capabilities in secure coding, vulnerability discovery and remediation, and other defensive security tasks.
• Run experiments to develop and test new training approaches and deliver successful results into production training runs.
• Partner with researchers, engineers, and security specialists to understand where AI can strengthen defensive workflows and build toward those needs.
• Collaborate with external cybersecurity experts and organizations to ground environments and evaluations in realistic defensive work.
• Contribute to the strategic direction of the team, including decisions on what to build, what to partner on, and where to invest.
• Participate in an on-call rotation as needed.

Minimum Qualifications

• Experience in cybersecurity research or applied security work.
• Experience with machine learning.
• Ability to balance research exploration with engineering implementation.
• Commitment to developing safe and beneficial AI systems.

Preferred Qualifications

• Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work.
• Experience participating in or building CTF competitions and cyber ranges.
• Academic research experience in cybersecurity.
• Familiarity with RL techniques and environments.
• Familiarity with LLM training methodologies.

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.
• Required field of study: A field relevant to the role.
• Minimum years of experience: Correlates with internal job level requirements.
• Location-based hybrid policy: Staff expected to be in one of our offices at least 25% of the time.
• Visa sponsorship: Available, with efforts to assist with visa applications.

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As a Research Engineer on Anthropic's Security team, you will help safely advance the capabilities of our models in secure coding, vulnerability remediation, and other areas of defensive cybersecurity.

This role blends research and engineering. You will develop new approaches and build them in code. Your work will include designing and implementing RL environments, running experiments and evaluations, delivering your work into production training runs, and working with researchers, engineers, and cybersecurity specialists both inside and outside Anthropic.

The role requires domain expertise in cybersecurity paired with interest or experience in training safe AI models. You might be a security researcher curious about how LLMs could change your work, a security engineer interested in how AI could help harden systems at scale, or a detection and response professional wondering how models could improve defensive workflows.

Key Responsibilities

• Design, build, and maintain RL environments and evaluations that measure and improve model capabilities in secure coding, vulnerability discovery and remediation, and other defensive security tasks
• Run experiments to develop and test new training approaches, and deliver successful results into production training runs
• Partner with researchers, engineers, and security specialists across Anthropic to understand where AI can strengthen defensive workflows, and build toward those needs
• Work with external cybersecurity experts and organizations to ground environments and evaluations in realistic defensive work
• Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest
• Participate in an on-call rotation as needed

Minimum Qualifications

• Experience in cybersecurity research or applied security work
• Experience with machine learning
• Ability to balance research exploration with engineering implementation
• Care about AI's potential and are committed to developing safe and beneficial systems

Preferred Qualifications

• Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work
• Experience participating in or building CTF competitions and cyber ranges
• Academic research experience in cybersecurity
• Familiarity with RL techniques and environments
• Familiarity with LLM training methodologies

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate.

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You combine deep technical expertise with a hands-on builder mindset to position Databricks as the foundation of your customers' data and AI strategy.

The Impact You Will Have:

• Own the end-to-end technical strategy for your accounts , from discovery through production deployment , driving competitive wins by building differentiated AI and data solutions that accelerate consumption growth
• Lead complex architecture discussions , designing production-grade solutions across data engineering, AI/ML, agentic systems, and real-time analytics
• Serve as a trusted technical partner to customer architects, engineering leads, and Directors , helping shape their data and AI journey on Databricks
• Develop an emerging technical specialization (archetype) , ideally in AI/ML, agentic architectures, or a related domain , becoming a go-to resource within your team
• Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver end-to-end AI and data solutions for complex customer needs
• Provide structured feedback to product teams on customer requirements, AI capabilities, and competitive gaps

What We Look For:

• 6+ years in solutions architecture, data engineering, data science/AI, or technical pre-sales , with a strong track record of hands-on solution building and customer-facing technical leadership
• Deep expertise in modern data and AI architectures , lakehouse design, scalable pipelines, real-time/streaming, and cloud-native platforms , with the ability to lead architecture discussions with senior stakeholders through whiteboarding, design reviews, and trade-off analysis that connect data foundations to AI/ML outcomes
• Strong understanding of AI/ML concepts, agentic architectures, and ontology design , including experience with compound AI systems, autonomous agent frameworks, knowledge graphs, and semantic data models that enable intelligent, context-aware applications
• Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., AI/ML, agentic systems, real-time/streaming, data governance, migrations)
• Experience with production deployments on public cloud (AWS, Azure, or GCP), including security and governance considerations
• Track record of driving platform adoption and consumption growth , particularly across AI/ML and data analytics workloads
• Excellent communication skills , able to translate complex AI and data architectures into business value for technical and executive audiences
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)

Nice to Have:

• Databricks certifications (Data Engineer, ML Associate/Professional, Platform)
• Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) , understanding the landscape you'll position against
• Background in an AI-first company, data platform vendor, or cloud provider
• Industry domain expertise, preferably in CPG and Manufacturing (Financial Services, Healthcare, Retail, Media, etc. also valued)

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In this role you'll act as a strategic partner and trusted advisor, enabling clients to leverage our industry-leading models and ElevenAgents , our end-to-end platform for building and deploying AI voice agents , to reimagine their customer experience, internal workflows, and monetization strategies.

Responsibilities:

• Build and manage a growing portfolio of strategic accounts across Switzerland to help ElevenLabs meet its revenue goals.
• Identify new business opportunities where ElevenLabs' conversational AI capabilities, including ElevenAgents, can drive customer engagement, contact center automation, and operational efficiency for consumer and retail brands.
• Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI voice technology into measurable business value for senior executives and economic buyers.
• Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends, particularly as they apply to Swiss consumer and retail organizations operating at scale.
• Demonstrate expertise, or a strong willingness to learn, about conversational AI and how ElevenLabs' voice technology can unlock value across customer support, virtual agents, IVR modernization, and in-app assistants.
• Develop and execute account strategies to expand ElevenLabs' presence within the Swiss consumer and retail sector, navigating complex procurement and organizational structures.
• Partner closely with Customer Success, FDEs and Solutions Engineering to ensure smooth onboarding, deployment, and expansion of accounts.
• Serve as a trusted advisor to clients, educating C-suite and senior operations leaders on emerging trends in generative AI, voice interfaces, and conversational agents.

Requirements:

• 7+ years of quota-carrying strategic sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API-driven platforms.
• Proven success closing deals and managing long, complex sales cycles with multiple stakeholders across business, IT, legal, and procurement.
• Well-connected in the Swiss consumer and retail landscape, with an existing network of senior individuals and strong executive presence and ability to build relationships at the C-suite and board level.
• Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value.
• Deep understanding of enterprise procurement and legal processes in Switzerland, with the ability to accelerate deal velocity within complex organizational structures.
• Comfort operating in an early-stage, high-growth environment, including building new playbooks and iterating quickly.
• Passion for voice and audio AI and how it can unlock transformative value for customers.
• A hybrid of customer and product-driven mentality that prioritizes client satisfaction and scale.
• Swiss German is the preferred default language for this role; fluency in both Swiss German and French is a strong plus given Switzerland's multilingual market. Strong English is also required for internal collaboration.

Benefits:

• Innovative culture
• Growth paths
• Learning & development
• Social travel
• Annual company offsite
• Co-working

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In this role you'll act as a strategic partner and trusted advisor, enabling clients to leverage our industry-leading models and ElevenAgents , our end-to-end platform for building and deploying AI voice agents , to reimagine their customer experience, internal workflows, and monetization strategies.

Responsibilities:

• Build and manage a growing portfolio of strategic accounts across Switzerland to help ElevenLabs meet its revenue goals.
• Identify new business opportunities where ElevenLabs' conversational AI capabilities, including ElevenAgents, can drive customer engagement, contact center automation, and operational efficiency for consumer and retail brands.
• Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI voice technology into measurable business value for senior executives and economic buyers.
• Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends, particularly as they apply to Swiss consumer and retail organizations operating at scale.
• Demonstrate expertise, or a strong willingness to learn, about conversational AI and how ElevenLabs' voice technology can unlock value across customer support, virtual agents, IVR modernization, and in-app assistants.
• Develop and execute account strategies to expand ElevenLabs' presence within the Swiss consumer and retail sector, navigating complex procurement and organizational structures.
• Partner closely with Customer Success, FDEs and Solutions Engineering to ensure smooth onboarding, deployment, and expansion of accounts.
• Serve as a trusted advisor to clients, educating C-suite and senior operations leaders on emerging trends in generative AI, voice interfaces, and conversational agents.

Requirements:

• 7+ years of quota-carrying strategic sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API-driven platforms.
• Proven success closing deals and managing long, complex sales cycles with multiple stakeholders across business, IT, legal, and procurement.
• Well-connected in the Swiss consumer and retail landscape, with an existing network of senior individuals and strong executive presence and ability to build relationships at the C-suite and board level.
• Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value.
• Deep understanding of enterprise procurement and legal processes in Switzerland, with the ability to accelerate deal velocity within complex organizational structures.
• Comfort operating in an early-stage, high-growth environment, including building new playbooks and iterating quickly.
• Passion for voice and audio AI and how it can unlock transformative value for customers.
• A hybrid of customer and product-driven mentality that prioritizes client satisfaction and scale.
• Swiss German is the preferred default language for this role; fluency in both Swiss German and French is a strong plus given Switzerland's multilingual market. Strong English is also required for internal collaboration.

Benefits:

• Innovative culture
• Growth paths
• Learning & development
• Social travel
• Annual company offsite
• Co-working

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In this role you'll act as a strategic partner and trusted advisor, enabling clients to leverage our industry-leading models and ElevenAgents , our end-to-end platform for building and deploying AI voice agents , to reimagine their customer experience, internal workflows, and monetization strategies.

Responsibilities:

• Build and manage a growing portfolio of strategic accounts across Switzerland to help ElevenLabs meet its revenue goals.
• Identify new business opportunities where ElevenLabs' conversational AI capabilities, including ElevenAgents, can drive customer engagement, contact center automation, and operational efficiency for consumer and retail brands.
• Lead consultative, multi-stakeholder sales cycles, building compelling business cases that translate AI voice technology into measurable business value for senior executives and economic buyers.
• Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends, particularly as they apply to Swiss consumer and retail organizations operating at scale.
• Demonstrate expertise, or a strong willingness to learn, about conversational AI and how ElevenLabs' voice technology can unlock value across customer support, virtual agents, IVR modernization, and in-app assistants.
• Develop and execute account strategies to expand ElevenLabs' presence within the Swiss consumer and retail sector, navigating complex procurement and organizational structures.
• Partner closely with Customer Success, FDEs and Solutions Engineering to ensure smooth onboarding, deployment, and expansion of accounts.
• Serve as a trusted advisor to clients, educating C-suite and senior operations leaders on emerging trends in generative AI, voice interfaces, and conversational agents.

Requirements:

• 7+ years of quota-carrying strategic sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API-driven platforms.
• Proven success closing deals and managing long, complex sales cycles with multiple stakeholders across business, IT, legal, and procurement.
• Well-connected in the Swiss consumer and retail landscape, with an existing network of senior individuals and strong executive presence and ability to build relationships at the C-suite and board level.
• Experience selling technical solutions to product and engineering leaders; ability to translate complex technology into business value.
• Deep understanding of enterprise procurement and legal processes in Switzerland, with the ability to accelerate deal velocity within complex organizational structures.
• Comfort operating in an early-stage, high-growth environment, including building new playbooks and iterating quickly.
• Passion for voice and audio AI and how it can unlock transformative value for customers.
• A hybrid of customer and product-driven mentality that prioritizes client satisfaction and scale.
• Swiss German is the preferred default language for this role; fluency in both Swiss German and French is a strong plus given Switzerland's multilingual market. Strong English is also required for internal collaboration.

Benefits:

• Innovative culture
• Growth paths
• Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
• Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
• Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
• Co-working: If you're not located near one of our main hubs, we offer a monthly co-working stipend.

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Key Responsibilities:

• Partner with leading research labs, researchers, and university faculty as a trusted technical advisor
• Develop a keen understanding of their scientific goals and drive joint research projects at supercomputing scale
• Identify and accelerate high-impact workloads by integrating NVIDIA's frameworks, libraries, and core software stack into research projects
• Help researchers amplify their impact through publications, conference presentations, and technical content
• Advocate for accelerated computing, robotics, Multimodal AI and Physical AI, and deliver hands-on trainings, workshops, lectures and demonstrations across NVIDIA's platforms
• Mentor power users to become NVIDIA champions
• Track emerging research trends and turn gaps between researcher needs and NVIDIA's offerings into prototypical solutions and direct feedback to NVIDIA Engineering
• Maintain deep expertise in your domain while staying versatile across NVIDIA's full platform: GPUs, CPUs, networking, and software

Requirements:

• A graduate degree from a leading university in a STEM related discipline or equivalent experience
• 5+ years across the multimodal and world model lifecycle on multi-node GPU systems
• Strong collaboration and communication skills, with the ability to build relationships with academic and research stakeholders
• Action oriented, analytical, self-motivated, and a passionate learner, with excellent organization skills to work in a heavily multi-tasked environment
• Fluent in English, both oral and written, and comfortable working in Python

Nice to Have:

• A PhD from a leading university in a STEM related discipline, with 3+ years of research in the domain
• A track record of thought leadership: high-impact publications, talks at academic conferences and workshops, as well as good understanding of scientific policy engagement, grant processes, or national/European research program structures
• Experience with NVIDIA's stack for visual and multimodal AI, built on CUDA and CUDA-X

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Positioned at the intersection of complex cloud architecture and enterprise business value, you will serve as a pivotal technical leader driving Databricks’ market expansion and customer acceleration across the EE region.

In this role, you will partner with Enterprise Sales leadership to technical sales cycles, build strategic C-level alignment, and establish a repeatable technical motion.

You will balance strategic regional planning with hands-on technical guidance helping your team architect modern Data & AI solutions while maintaining a bar-raising, inclusive engineering culture.

The Impact You Will Have

• Scale & Enable Technical Talent: Hire, onboard, and mentor a top-tier pre-sales engineering team across Eastern Europe, maintaining a robust talent pipeline and fostering continuous technical enablement on the Databricks Data Intelligence Platform.

• Drive Consumption-Based Growth: Partner closely with Sales leadership to accurately forecast, technically qualify, and accelerate enterprise sales cycles, linking technical validations (PoCs/PVs) directly to long-term consumption and measurable customer ROI.

• Cultivate Value-Engineered Solutions: Institute rigorous pre-sales methodologies that shift conversations from feature lists to strategic business outcomes, establishing your team as trusted architectural advisors to customer CTOs, CDOs, and Chief AI Officers.

• Build Executive & Strategic Alignment: Engage directly with key customer executives and regional System Integrator (SI) / Cloud Service Provider (CSP) partners to secure reference architectures, co-selling motions, and successful downstream implementation strategies.

• Foster an Inclusive, Builder-First Culture: Promote a customer-obsessed, highly collaborative engineering team culture rooted in technical curiosity, architectural excellence, and diversity of thought.

• Expand Regional Brand & Market Presence: Act as a key technical leader in Eastern Europe in partnership with Regional Marketing and Field Leadership to drive community engagement, executive roundtables, and developer events.

What We Look For

• Pre-Sales Engineering Leadership: Proven track record of building, coaching, and scaling technical pre-sales or solutions architecture teams within a hyper-growth SaaS, Cloud, or Enterprise Data/AI ecosystem.

• Deep Domain Expertise: Background as a practitioner or technical consultant in at least one core technical domain.

• Consumption & Commercial Acumen: Hands-on understanding of consumption-driven SaaS business models, technical pipeline management, and strategic deal-qualification frameworks (e.g., MEDDPICC).

• Architectural Authority: Ability to review, challenge, and influence complex multi-cloud data architectures (AWS, Azure, GCP) to earn the immediate trust of customer engineering teams and internal product leaders.

• Executive Presence: Strong communication, whiteboarding, and storytelling skills; adept at translating complex distributed systems concepts into clear executive business drivers.

• Regional Language Capabilities: Professional fluency in English is required. Fluency in one or more Eastern European languages (e.g., Polish, Greek, Romanian, Bulgarian, or Czech) is strongly preferred.

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You will develop new software and hardware approaches, shape platform evolution through hands-on innovation, and contribute to designing systems powering the fastest AI workloads globally. Collaborate with our distinguished team of researchers and engineers building software and hardware for AI at an outstanding scale.

Responsibilities:

• Build and evolve the architecture of scalable software systems for distributed AI training and inference, focusing on throughput, latency, resiliency, and memory efficiency across cluster-scale deployments.
• Develop and evaluate next-generation communication and runtime capabilities in libraries such as NCCL, UCX, and UCC, tailored to the evolving demands of frontier AI workloads.
• Partner with AI framework teams (e.g., TensorFlow, PyTorch, JAX) and internal platform teams to build integrations, explore new approaches, and improve end-to-end performance and reliability.
• Collaborate on hardware and system-level features across GPUs, DPUs, and interconnects to speed up data movement and enable new capabilities for training, inference, and model serving at scale.
• Drive innovation across runtime systems, communication libraries, and AI-specific protocol layers, helping turn new ideas into practical capabilities and robust implementations.

Requirements:

• Ph.D., or equivalent industry experience, in computer science, computer engineering, or a closely related field.
• 5+ years of experience in systems programming, parallel or distributed computing, high-performance networking, or large-scale data movement, including experience designing and building complex systems.
• Strong programming background in C++, Python, and ideally CUDA or other GPU programming models, with a track record of building production-quality performance-critical software.
• Extensive hands-on experience with AI frameworks (e.g., PyTorch, TensorFlow, JAX) and a solid grasp of how communication libraries and runtime systems facilitate large-scale training and inference.
• Demonstrated success in developing and refining high-throughput, low-latency systems, including the ability to reason across software stacks, hardware capabilities, and system bottlenecks.
• Strong collaboration skills in a multi-national, interdisciplinary setting, with the ability to contribute ideas, build momentum, and work effectively with senior engineers, researchers, and partner teams.

Benefits:

NVIDIA offers highly competitive salaries and a comprehensive benefits package. You can learn more about our benefits at www.nvidiabenefits.com/

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CHF 365K – CHF 555K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About The Team

The Data Understanding team is responsible for creating high-quality datasets and their quantized representation for OpenAI. This includes synthesizing data, building VQ representations, and processing, filtering, deduplication, quality control, and tokenization so it can be used effectively in big model training runs.

About The Role

We're looking to advance how OpenAI builds and understands pretraining data at scale. You'll treat data quality and curation as core research problems: developing new methods to select, combine, and transform data; creating datasets that improve model capabilities; and designing rigorous experiments to understand how data choices and interventions affect model learning and downstream behavior. You'll work closely with frontier models and web-scale data to build evidence for which approaches work and why, then translate successful research into scalable data processing pipelines.

We Expect You To

• Have a strong track record of new or improved ML ideas, through publications, projects, or applied research.
• Own and drive a research agenda, from choosing the right problems to carrying long-running work through to impact.
• Be excited by OpenAI’s empirical, collaborative approach to research.

Nice To Have

• Thoughtfulness about AI’s impact, including privacy, provenance, and data quality.
• Experience building high-performance deep learning or large-scale data processing systems.

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This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.

The impact you will have

• Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.
• Lead with outcomes for key Lakebase personas , including platform teams and developers, data teams, and central IT , articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.
• Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.
• Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.
• Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.
• Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.
• Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.
• Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.
• Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organisation.

What success looks like in this role This role requires the ability to operate across two key motions simultaneously:

• Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase.
• Drive longer-term Postgres standardisation and migration within Databricks' most strategic accounts.

Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business.

Success in this role requires strength in four areas:

• Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.
• Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.
• Field enablement – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.
• Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.

What we look for

• Strong enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.
• Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.
• Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.
• Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).
• Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.
• Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.
• Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.
• Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.
• Bachelor’s degree or equivalent practical experience.

Preferred qualifications

• Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts.
• Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.
• Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications.
• Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services.
• Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives.
• Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.

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OpenAI's Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.

About the role

As a Forward Deployed Engineer, you will lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. Your responsibilities will include ownership of discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.

Your success will be measured through production adoption, measurable workflow impact, and evaluation-driven feedback that influences product and model roadmaps. You will work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.

This role is based in Zurich and utilizes a hybrid work model of 3 days in the office per week. We offer relocation assistance, and travel up to 50% is required.

Responsibilities

• Own technical delivery across multiple deployments from first prototype to stable production.
• Build full-stack systems that deliver customer value and enhance how we learn.
• Embed closely with customer teams, understand their needs, and guide the adoption of what you build.
• Scope work, sequence delivery, and remove blockers early.
• Make trade-offs between scope, speed, and quality; adjust plans to protect delivery.
• Contribute directly to the code when progress or clarity depends on it.
• Codify working patterns into tools, playbooks, or building blocks that others can use.
• Share field feedback that helps Research and Product understand where the models succeed and where they can improve.
• Keep teams moving through clarity and follow-through.

Requirements

• Bring 5+ years of engineering or technical deployment experience that includes customer-facing work.
• Have scoped and delivered complex systems in fast-moving or ambiguous environments.
• Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks.
• Have built or deployed systems powered by LLMs or generative models and understand how model behavior affects product experience.
• Simplify complexity and make fast, sound decisions under pressure.
• Communicate clearly with engineers, product teams, and customer stakeholders.
• Spot risks early and adjust without slowing down.
• Model calm and judgment when the stakes are high.

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In this role, you will work closely with developers, software vendors, startups, system integrators, and industrial enterprises to accelerate adoption of NVIDIA’s AI and accelerated computing platforms for manufacturing use cases. You will act as a trusted technical advisor and advocate,bridging the needs of the manufacturing developer community with NVIDIA’s engineering, product, and platform teams.

The ideal candidate combines deep knowledge of industrial software ecosystems with strong technical credibility, developer advocacy skills, and a passion for enabling real-world AI adoption in manufacturing environments.

Responsibilities:

• Serve as the trusted technical advisor and advocate for the manufacturing and industrial developer ecosystem across EMEA, working closely with software developers, ISVs, startups, OEMs, and system integrators.

• Accelerate adoption of NVIDIA technologies by demonstrating end-to-end solutions for manufacturing workloads such as robotics, digital twins, simulation, computer vision, quality inspection, predictive maintenance, and industrial AI.

• Design and deliver technical enablement assets including sample code, reference architectures, demonstrations, workshops, and best-practice guides tailored to manufacturing and industrial use cases.

• Guide partners and developers through onboarding, integration, and optimization of NVIDIA platforms and programs, fostering co-innovation and early technical success.

• Engage deeply with partner engineering teams and technical leaders to understand requirements, solve complex technical challenges, and promote scalable, production-ready implementations.

• Map, track, and analyze the manufacturing developer ecosystem to identify gaps, opportunities, and emerging trends that inform NVIDIA’s adoption and engagement strategies.

• Collaborate cross-functionally with engineering, product management, solution architects, marketing, and sales to align developer feedback with product roadmaps and go-to-market initiatives.

• Represent the voice of manufacturing developers internally, providing structured feedback from field engagements to influence platform capabilities, tooling, and documentation.

• Support marketing and ecosystem programs by highlighting customer and partner success stories, contributing to technical content, events, launches, and industry forums.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).

• 8+ years of experience in software engineering, developer relations, technical partnerships, or solution architecture, with at least 5+ years focused on industrial or manufacturing ecosystems.

• Strong technical understanding of AI/ML applications in manufacturing, including robotics, simulation, digital twins, industrial vision, or data-driven automation.

• Familiarity with industrial software ecosystems, including ISVs, platforms, and solution stacks used in manufacturing environments.

• Proven ability to lead complex technical engagements and collaborate across engineering, product, marketing, and partner organizations.

• Excellent communication skills with the ability to translate complex technical concepts for audiences ranging from hands-on developers to technical executives.

• Passion for developer advocacy, ecosystem development, and working in fast-paced, highly collaborative environments.

• Coachability, intellectual curiosity, and a continuous learning mindset.

• Strong written and spoken English; additional European languages are a plus.

Benefits:

• Competitive salaries and a generous benefits package.

• Opportunity to work with a leading technology company that specializes in artificial intelligence, accelerated computing, and software development.

• Collaborative and dynamic work environment with a team of experienced professionals.

• Opportunities for professional growth and development.

• Recognition and rewards for outstanding performance.

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As a Senior GPU Networking Architect, you will be responsible for building, implementing, and optimizing GPU communication kernels that underpin collective and point-to-point operations in large-scale AI systems. You will leverage deep knowledge of GPU architecture,thread scheduling, memory hierarchy, execution pipelines,to improve kernel efficiency, minimize latency, and overlap computation with communication.

Key responsibilities include:

• Building, implementing, and optimizing GPU communication kernels that underpin collective and point-to-point operations in large-scale AI systems.
• Leveraging deep knowledge of GPU architecture,thread scheduling, memory hierarchy, execution pipelines,to improve kernel efficiency, minimize latency, and overlap computation with communication.
• Developing GPU-resident communication primitives and device-side APIs that enable fine-grained, kernel-initiated data movement across nodes and accelerators.
• Profiling and tuning GPU kernels end-to-end, identifying bottlenecks at the intersection of compute, memory, and network, and driving targeted optimizations.
• Collaborating with network software, hardware, and AI framework teams to co-design communication strategies that align with GPU execution patterns and emerging model architectures.
• Building proofs-of-concept, conducting experiments, and performing quantitative modeling to evaluate and validate new communication strategies before committing them to production.

To succeed in this role, you will need:

• 5+ years of hands-on CUDA programming, including writing and optimizing non-trivial GPU kernels.
• M.Sc. or equivalent experience in computer science, computer engineering, or a closely related field.
• Strong understanding of GPU architecture fundamentals: warp scheduling, shared memory, L2 cache, memory coalescing, occupancy tuning, and asynchronous execution.
• Experience with systems-level C/C++ development in performance-critical environments.
• Familiarity with GPU data movement mechanisms such as GPUDirect RDMA and GPU-initiated communication.
• Ability to read and reason about GPU performance profiles (e.g., Nsight Compute, Nsight Systems) and translate observations into actionable optimizations.
• Strong collaboration skills in a multi-national, interdisciplinary environment.

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Our product is a performance-oriented low-level infrastructure, crafted to change the way inference works.

The rewards are sweet and include working with some of the brightest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to collaborate on products that transform daily the way people work and play.

Responsibilities:

• Developing a highly optimized inference framework

• Running on the world’s largest supercomputers and data centers.

Requirements:

• B.Sc. or equivalent experience in Computer Science or Software Engineering

• 8 years’ experience in modern C++ / C / Rust development

• 3 years’ experience in Linux environment and familiarity with development tools

• Deep knowledge of the TCP/IP network stack

• Understanding of computer architecture and operating systems concepts

Nice to Have:

• Hands-on experience with LLM inference stacks

• Expertise in distributed storage technologies

• Background in Linux internals and low-level software optimizations (benchmarking, bottleneck research, performance tuning)

• Experience in programming CUDA kernels is an advantage

• Background in parallel programming / high-performance computing / RDMA technology

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You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges.

Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering skills.

• Low-level systems debugging, performance measurement, and optimization on large production clusters.

• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.

• Introduce tools to allow greater automation and operability of services.

• Use your deep experience to help prevent and investigate production issues.

• Plan and lead complicated technical projects that work with several teams within the company.

• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.

• Comfortable working towards a multi-year vision with incremental deliverables.

• Motivated by delivering customer value and impact.

• Strong foundation in algorithms and data structures and their real-world use cases.

• Experience driving company initiatives towards customer satisfaction.

• BS/MS/PhD in Computer Science or related majors, or equivalent experience.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.

About the role

Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with.

You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models.

Responsibilities

• Implement and optimize post-training techniques at scale on frontier models
• Conduct research to develop and optimize post-training recipes that directly improve production model quality
• Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation
• Develop tools to measure and improve model performance across various dimensions
• Collaborate with research teams to translate emerging techniques into production-ready implementations
• Debug complex issues in training pipelines and model behavior
• Help establish best practices for reliable, reproducible model post-training

You may be a good fit if you:

• Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities
• Adapt quickly to changing priorities
• Maintain clarity when debugging complex, time-sensitive issues
• Have strong software engineering skills with experience building complex ML systems
• Are comfortable working with large-scale distributed systems and high-performance computing
• Have experience with training, fine-tuning, or evaluating large language models
• Can balance research exploration with engineering rigor and operational reliability
• Are adept at analyzing and debugging model training processes
• Enjoy collaborating across research and engineering disciplines
• Can navigate ambiguity and make progress in fast-moving research environments

Strong candidates may also:

• Have experience with LLMs
• Have a keen interest in AI safety and responsible deployment

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with.

You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models.

_Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends._

Responsibilities:

• Implement and optimize post-training techniques at scale on frontier models

• Conduct research to develop and optimize post-training recipes that directly improve production model quality

• Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation

• Develop tools to measure and improve model performance across various dimensions

• Collaborate with research teams to translate emerging techniques into production-ready implementations

• Debug complex issues in training pipelines and model behavior

• Help establish best practices for reliable, reproducible model post-training

You may be a good fit if you:

• Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities

• Adapt quickly to changing priorities

• Maintain clarity when debugging complex, time-sensitive issues

• Have strong software engineering skills with experience building complex ML systems

• Are comfortable working with large-scale distributed systems and high-performance computing

• Have experience with training, fine-tuning, or evaluating large language models

• Can balance research exploration with engineering rigor and operational reliability

• Are adept at analyzing and debugging model training processes

• Enjoy collaborating across research and engineering disciplines

• Can navigate ambiguity and make progress in fast-moving research environments

Strong candidates may also:

• Have experience with LLMs

• Have a keen interest in AI safety and responsible deployment

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

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