Responsibilities

• Support the administration of Databricks environments (DEV, TEST, PROD)
• Manage user access, roles, and permissions
• Support identity provisioning via Azure AD / AWS IAM
• Collaborate with cloud teams on connectivity, storage access, and security topics

• Manage access to notebooks, jobs, clusters, and SQL Warehouses
• Support cluster configuration and usage policies
• Troubleshoot platform-related issues and coordinate with support teams
• Maintain operational documentation and internal guidelines

• Support Unity Catalog governance (catalogs, schemas, tables)
• Manage access controls and data ownership
• Ensure platform security standards and audit readiness
• Contribute to compliance and governance processes

• Support CI/CD processes for Databricks deployments
• Participate in automation initiatives using Git-based workflows
• Contribute to standard templates and deployment practices
• Support lifecycle management across environments

• Monitor platform usage and identify optimization opportunities
• Support cost tracking and reporting activities
• Contribute to tagging and governance practices for cost attribution

Requirements

• Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related technical field
• Minimum 3 years of experience in Databricks platform administration, preferably in an Azure environment
• Good understanding of CI/CD concepts and Git-based workflows
• Experience working in cloud-based data platforms or DevOps environments is a plus
• Experience with Databricks administration (workspace management, access management, clusters, Unity Catalog is a plus)
• Knowledge of Azure cloud services (preferred) or other cloud providers
• Familiarity with Infrastructure as Code concepts (Terraform is a plus)
• Scripting knowledge (Python or Bash is a plus)
• Databricks certifications (ex: Databricks Certified Data Engineer, Databricks Platform Administrator)
• Cloud certifications such as Azure Data Engineer, AWS Solutions Architect, or equivalent
• Strong English communication skills (written and spoken)
• Good analytical and troubleshooting skills
• Ability to work in a collaborative and international environment
• Proactive mindset and structured way of working

Benefits

• A role with true technical ownership: architecture, scaling, and governance decisions that directly impact production AI solutions.
• Complex projects that go beyond “just pipelines” – covering big data processing and large-scale ML/DL deployment.
• Opportunities to deepen your expertise in Databricks, cloud-native ML, and MLOps.
• A team where your input and technical decisions truly matter.
• A competitive package and benefits.

Join us and make a direct impact on shaping the future of Data, AI, and Mobility.

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During your training, you will participate in the conception and planning of new software projects, implement user requirements in functioning software, develop software for real-time operating systems and microcontroller-based programming, and test and debug program codes, especially in the embedded field.

As part of the team, you will develop your team spirit and communication skills. You will also get familiar with new technologies and trends in the IT industry.

The position is suitable for individuals with disabilities.

AVL offers a 3-year training period, with the possibility of shortening it. The company provides a team-oriented environment, open door policy, and flat hierarchies. You will receive individual support and integration into existing teams, a creative and open working environment, free drinks and fruit, a free Germany ticket for train travel, and 30 days paid holiday.

AVL is a leading mobility technology company that develops, simulates, and tests solutions for the automotive industry and other sectors. They deliver concepts, solutions, and methods in areas such as vehicle development and integration, e-mobility, driver assistance systems, and autonomous driving (ADAS/AD) and software for a greener, safer, and better world of mobility.

If you're interested in a job at AVL but unsure how to apply or what happens after submitting your application, please read our step-by-step guide.

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You will work closely with various departments and use various quality methods such as bonding and surface testing, as well as cubing. You will have the opportunity to gain comprehensive insights into the Porsche working world and contribute to the success of our organization.

The ideal candidate has a degree in mechanical engineering, automotive technology, or a related field, with at least 3 semesters of study experience. You should have technical knowledge and analytical thinking, as well as affinity for structured work and result evaluation. Proficiency in MS Office and excellent German language skills are required.

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Your responsibilities will include:

• Developing and implementing a comprehensive shift-left test strategy for SDV systems based on vECU virtualisation, including business case evaluation, tool comparison, scalability, and cost models
• Designing, building, and further developing cloud-based test environments for embedded and software-defined vehicle systems
• Providing strategic advice to OEMs, Tier-1s, and technology partners on cloud, hybrid, and hardware test approaches throughout the entire development cycle
• Evaluating, selecting, and integrating leading vECU solutions into existing toolchains and CI/CD pipelines
• Active stakeholder management, including customer contact, pre-sales support, and presenting strategic recommendations at the management level
• Introducing and scaling AI-driven methods in quality assurance, such as intelligent test prioritisation, anomaly detection, or data-driven optimisation of test strategies

To be successful in this role, you will need:

• A degree in computer science, electrical engineering, or a related field, combined with over 5 years of experience in test automation of embedded or SDV systems (e.g. ADAS, infotainment, or zone architectures)
• Practical experience with vECU approaches from at least two projects, including setting up cloud-based test environments and integration into CI/CD pipelines
• Passion for modern software-defined vehicle architectures, innovative test methods, and the use of AI in quality assurance, such as intelligent test case generation, fault classification, or anomaly detection
• Expertise in cloud and virtualisation technologies, particularly container and VM-based test infrastructures, as well as hybrid cloud/HIL scenarios
• Strong understanding of the market and technology landscape in the areas of vECU, SDV, and automotive testing, combined with experience with common toolchains

As an ideal candidate, you will be characterised by a structured and analytical approach, the ability to clearly present complex and unclear problem statements, and derive decision options for management and technology. You will also possess strong communication and advisory skills, as well as a leadership mindset with technical expertise, clarity, and initiative.

The position is available immediately, and we offer a competitive salary and benefits package. If you are interested in this exciting opportunity, please submit your application, including your resume and cover letter, to our careers portal.

We look forward to hearing from you!

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Key responsibilities include:

• Providing functional support for SAP FI processes, including General Ledger, Accounts Receivable, Accounts Payable, Asset Accounting, and Bank Accounting
• Leading incident analysis and resolution for complex FI-related issues
• Performing impact analysis and solution design for change requests
• Acting as the primary FI contact for business finance stakeholders
• Ensuring solutions align with SAP Best Practices and internal accounting controls

Requirements include:

• Strong experience in SAP Financial Accounting, with a focus on General Ledger (New GL/Universal Journal), Accounts Receivable, Accounts Payable, Asset Accounting, and Bank Accounting
• Proven experience in SAP S/4HANA Finance, with at least one AMS or post-go-live support engagement, working in L2/L3 support models
• Solid configuration knowledge of SAP FI processes
• Deep understanding of financial integration points
• Confident use of SAP Fiori Launchpad, application logs, and message handling
• Bachelor's Degree in Computer Science or a related field is an advantage

Nice to have:

• Experience in SAP S/4HANA implementation projects
• Functional support for data migration mapping and load
• Involvement in both ECC and S/4HANA environments
• Experience in SAP FI Localization
• Strong analytical mindset
• Structured problem-solving skills
• Excellent communication skills
• Continuous learning attitude
• Ability to deliver on parallel projects

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During your practical training, you will gain comprehensive insights into the Porsche working world and work on projects such as:

• Supporting planning activities in the areas of energy planning and environmental protection
• Participating in the design and implementation of your own projects
• Contributing to the development of a building- and production-based energy monitoring system
• Participating in the development of training concepts on energy and resource efficiency
• Supporting data analysis and participating in the implementation of innovation projects for sustainable energy supply

To be successful in this role, you should have a strong interest in energy management, energy efficiency, and sustainability, as well as a solid understanding of MS Office and a structured and independent way of working.

The ideal candidate will have completed at least three semesters of study in a relevant field, such as engineering, energy and environmental management, environmental technology, sustainability, or a similar subject.

This is a six-month internship starting on September 15, 2026, and you must be enrolled in a university program during the entire internship period.

Please submit your application with your latest degree, current enrollment certificate, and any relevant work or internship certificates and language proficiency certificates.

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As a Service Advisor, you will be responsible for handling customer inquiries, explaining repair work, and selling service packages. You will also ensure that all work is carried out according to the Porsche Service Core Process.

Responsibilities:

• Handle customer inquiries and provide information about repairs and maintenance
• Explain repair work and provide estimates to customers
• Sell service packages and accessories
• Ensure that all work is carried out according to the Porsche Service Core Process
• Create written estimates for customers
• Manage the allocation of replacement vehicles
• Build long-term relationships with customers

Requirements:

• Completed technical training, preferably as a Kfz-Mechatroniker or certified Service Advisor
• Several years of experience as a Service Advisor
• Technical product and model knowledge is desirable
• Self-motivated, structured, and reliable working style
• Excellent teamwork and communication skills
• High level of customer service awareness and passion for the Porsche brand
• Valid driving license (Class B)
• Familiarity with standard IT applications such as DMS, CRM, MS Office, and the internet

Benefits:

• Training programs
• 30 days annual leave
• Attendance bonus
• Air-conditioned workspace
• Company bike
• Team events
• Occupational pension scheme

If you're interested in this opportunity, please submit your application with your earliest possible start date to julian.schneider@porsche-hagen.de.

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Key Responsibilities:

• Lead the productization of automotive test-related products, focusing on intelligent test solutions
• Define product positioning, value propositions, and functional requirements
• Conduct market and user research to deeply understand the pain points of the testing domain and the needs of technical teams
• Collaborate with engineering, sales, finance, strategy, and customer teams to promote the landing testing solution product
• Manage product costs, pricing strategies, and profit goals
• Optimize the cost structure and balance product competitiveness and profitability
• Establish and improve product standards and operation processes
• Ensure product stability and scalability
• Drive product promotion and publicity initiatives
• Collaborate with marketing and sales teams to develop promotion strategies
• Build product branding in the automotive testing industry
• Track industry trends and technological advancements
• Continuously optimize product functions and user experience

Requirements:

• Bachelor's degree or above in electrical engineering, mechatronics, vehicle engineering, computer science, robotics, or a related field
• In-depth understanding of the automotive testing industry, familiar with ADAS, Infotainment, Connected Car, vehicle integration domains, and proficiency in the core logic of CLCD, automation, AI toolchain, test & data platforms, or robot automation
• Proven experience in productizing technical services or solutions into scalable and commercial products
• Strong strategic thinking and business acumen, able to accurately grasp the market demand and value of testing products
• Excellent communication and coordination skills, able to drive cross-departmental collaboration
• Proficient in product planning, requirement analysis, and roadmap formulation, with the ability to promote product iteration and landing with Agile/Scrum methodologies
• Familiar with productization logic of technical services, able to translate technical capabilities into marketable products
• Strong self-driven to work efficiently and lead project team for issue solving and continuous improvement
• Engineering mindset with critical thinking and hands-on capability
• Proficiency in English (written and spoken) is mandatory, German is a plus
• Willingness to travel

Benefits:

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment
• Recognition and rewards for outstanding performance

How to Apply: If you are a motivated and experienced product manager looking for a new challenge, please submit your application, including your resume and cover letter, to [jobs@porsche-engineering.cn](mailto:jobs@porsche-engineering.cn).

Please note that only applications submitted through the official Porsche Engineering website will be considered.

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Your responsibilities will include preparing rule rounds in the context of the error correction process in daily business, creating, maintaining, and presenting reports, documents, and documentation, and working on cross-functional error focal points in pre-series projects.

You will also participate in the analysis and follow-up of quality topics, support the coordination with various departments, and gain insights into the error correction process in the production environment.

To be successful in this role, you should have a strong technical understanding, analytical thinking, and interest in quality topics and cross-functional processes.

You should also have a structured and independent working style, organizational skills, and very good German language skills in writing and speaking.

The internship will last for six months, starting on August 15, 2026, and requires a valid student enrollment during the entire internship period.

Benefits include a diverse, subsidized catering offer, favorable mobility65 options, and a comprehensive lade infrastructure for e-fahrzeuge at our locations.

If you have any questions about your application, please contact our applicant hotline at +49 (0) 341 999-13115, Monday to Friday, 9:00 AM to 4:00 PM.

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You will conduct mobile application security assessments for Android and iOS platforms. You will author detailed technical reports documenting vulnerabilities, risk analysis, and remediation recommendations. You will present findings to stakeholders and technical teams. You will mentor colleagues and contribute to team skill development. You will handle the development of testing methodologies and processes through automation and innovation.

Key Responsibilities:

• Conduct penetration testing of web applications, APIs, and microservices architectures
• Perform advanced security assessments of cloud environments, hybrid, and on-prem infrastructure
• Validate Infrastructure as Code (IaC) implementations
• Conduct mobile application security assessments for Android and iOS platforms
• Author detailed technical reports
• Present findings to stakeholders and technical teams
• Mentor colleagues and contribute to team skill development
• Develop testing methodologies and processes through automation and innovation

Requirements:

• Proven track record in web application security testing with Burp Suite proficiency
• Good understanding of IT architectures and security concepts
• Security assessment and testing certifications (e.g., OSCP, OSWE, WAPTX) or cloud security certs
• Experience with Infrastructure as Code (Terraform, Ansible)
• Experience writing clear, actionable reports
• Demonstrated experience in cloud security for at least one major platform (AWS/Azure/GCP)

Benefits:

• Support and appreciation for colleagues as they are and celebrate successes together
• Welcome creativity and new impulses
• Opportunity to grow in tasks, knowledge, and responsibility
• Comprehensive overview of benefits available

Work Arrangements:

• Start date by arrangement, always on the 1st and 15th of the month
• Full-time (40h) working hours
• 27 vacation days
• Unlimited employment contract
• Flexibility and willingness to travel
• Valid work permit required

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You will also support workshops and coordination with internal departments and external partners (e.g., suppliers).

We offer flexible working hours, mobile learning, and a digital learning and work environment.

Our team is responsible for developing the diagnostic architecture, future-proofing diagnostic technologies, and making our vehicles and architectures OTA-ready. This ensures that our vehicles are compliant, diagnosable, and updatable from development to the last customer vehicle.

We provide a powerful diagnostic kernel for all tools and have fun doing this work.

The internship is a 5-6 month position, with flexible start dates. You will be part of a dynamic team that values innovation, creativity, and collaboration.

As a member of our team, you will have the opportunity to contribute to the development of cutting-edge technologies and work on exciting projects that shape the future of the automotive industry.

We are looking for a motivated and talented individual who is passionate about embedded software, E/E architectures, and modern vehicle concepts (SDV). You should have a strong interest in software development and a willingness to learn and grow with our team.

If you are a student in the final stages of your studies in computer science, electrical engineering, mechatronics, automotive engineering, or a related field, we encourage you to apply.

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.

If you are interested in joining our team and contributing to the development of innovative technologies, please submit your application, including your resume, cover letter, and any relevant documents.

We look forward to hearing from you!

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Your tasks will include supporting the implementation of digitalization projects, participating in the conception of e-learning modules in the field of occupational safety and environmental protection, assisting in the creation of presentation and training materials, and supporting the operational daily business.

To be successful in this role, you should have a strong interest in digitalization and e-learning, as well as excellent communication and teamwork skills. You should also be able to work independently and structured.

The traineeship will last for 5-6 months and will start at the beginning of each semester, either on the 1st or 15th of the month.

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Key responsibilities include:

• Design, develop, and enhance PAW dashboards, books, reports, and interactive planning applications
• Build and optimize PAX reports, input templates, and management reporting books
• Develop and maintain TI processes for data loading, data transformation, master data maintenance, and automation workflows
• Create, enhance, and troubleshoot TM1 Rules and Feeders
• Collaborate with business stakeholders to translate planning and reporting requirements into user-friendly PAW/PAX solutions
• Support backend model improvements, including dimension design, cube structures, security concepts, and performance optimization
• Participate in issue resolution, knowledge sharing, and continuous improvements of the Planning Analytics landscape

Requirements include:

• Strong hands-on experience with IBM Planning Analytics Workspace (PAW) development
• Very good experience in IBM Planning Analytics for Excel (PAX) reporting and input templates
• Solid backend expertise in IBM TM1 / IBM Planning Analytics
• Strong knowledge of TurboIntegrator (TI) scripting
• Practical experience with Rules, Feeders, and cube performance tuning
• Good understanding of dimension hierarchies, subsets, MDX, and cube design
• Experience with data integration, file-based loads, and process automation
• Experience with PowerShell / batch scripting for file automation (nice-to-have)
• Ability to work on both frontend user experience and backend technical logic
• Strong attention to detail
• Strong communication skills with both technical and business stakeholders
• Ability to translate business requirements into intuitive planning solutions
• High level of ownership and autonomy
• Analytical and problem-solving mindset

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As a brand ambassador, you'll work daily with the latest Porsche models, helping to turn automotive dreams into reality.

In your role as a Technology Expert (m/w/d) at Porsche Centre Ulm/Neu-Ulm, you'll support our sales and service teams. For example, you'll set up the right Connect services for demonstration and fleet vehicles, ensuring everything runs smoothly #[newline]and providing our customers with expert assistance on 'Porsche Connect' topics.

As an open and clear communicator, you'll be the central point of contact for our customers. Exceptional service quality and customer satisfaction are the guiding principles to drive our success forward. With a focus on the essentials, you'll take care of appointment scheduling and order preparation, as well as preliminary tasks in the areas of complaints handling and accounting.

We're looking for someone with a passion for cars and a deep understanding of their technology and functionality. A technical or commercial training, preferably in the automotive industry, is ideal. You should enjoy working with diverse customers, be curious, willing to learn, and enthusiastic about continuous development. You'll need to be self-motivated, structured, and have strong communication skills. If you're not 100% sure, let's still talk!

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Your tasks will include:

• Advising customers from various industries on the strategic alignment, further development, and operationalization of product development - from vision to sustainable implementation
• Accompanying the development of target images for the product development system of tomorrow and deriving concrete digital transformation paths
• Supporting the conception and implementation of strategies for the use of artificial intelligence in product development
• Project management in classical and agile environments and accompanying workshops with our customers from design to execution and moderation
• Co-shaping sales and acquisition activities as well as evaluating new technologies and trends

To be well-prepared for your path as a Senior Consultant Future Product Development, you should have the following qualifications:

• Completed studies and at least 1 year of professional experience, preferably in consulting with a focus on product development
• Expertise in the field of mechatronic/software-driven product development and digitalization
• Passion for innovations, technologies, and methods in the product development environment supplemented by data evaluation (e.g. using Python)
• Your way of working is characterized by very good communication and presentation skills, structure, self-motivation, analytical thinking, and strong team skills
• Skills in and understanding of modeling (UML, SysML, etc.) are an advantage

Important information before departure:

• Start: after agreement - always at the beginning of a month
• Working hours: full-time (40h) & 30 vacation days
• Employment relationship: unlimited
• Field of work: Consulting
• Language: fluent German and English
• Flexibility and willingness to travel
• Other: valid work permit; if necessary, we can apply for a work permit within our recruitment process. The procedure takes time and affects the start date

As a technology and business partner, MHP digitalizes processes and products for its customers and accompanies them in their IT transformations along the entire value chain. With over 25 years of experience, MHP has grown to become a leading player in the industry, with over 4,500 employees worldwide. MHP's mission is to drive excellence and sustainable success, and the company is committed to continuously improving its services and products to meet the evolving needs of its customers.

At MHP, you will have the opportunity to grow professionally and personally, with a focus on innovation and collaboration. Our team is passionate about delivering exceptional results and making a positive impact on our customers' businesses. We offer a dynamic and supportive work environment, with opportunities for professional development and growth. If you are looking for a challenging and rewarding career, join our team at MHP.

Benefits:

• Recognition: We appreciate and support our colleagues as they are and celebrate our successes together.
• Creativity: We welcome creativity and new ideas.
• Flexibility: Your working style is flexible, both in terms of time and location, adapted to the project requirements.
• Growth: You have the opportunity to grow in your tasks, knowledge, and responsibility.

For more information on our benefits, please visit our website.

How to apply:

Please submit your application as soon as possible. You can easily do this online through our Job Locator. There, you can upload your application documents, such as your resume, certificates, and possibly project lists, in just a few clicks. A cover letter is not required.

Note: If your application reaches us, our recruiting team will review it across departments to see if there is a suitable position for you. Regardless of current job postings, we try to find the best fit for you at MHP.

Contact:

If you have any questions, please check our FAQs on our Career website.

For further inquiries, please contact our Recruiting Team at +49 (0)7141 7856 1600.

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You will also be responsible for integrating, consolidating and comparing existing analysis and monitoring solutions, building dashboards and reports to provide transparent insights into usage and maturity.

Our team is responsible for the electrical/electronic scope for general vehicle and steering gear diagnosis, OTA enablers, and overall vehicle bedding in all our sports cars. In short, we are the technological foundation for the electronics of every Porsche vehicle.

As a member of our team, you will have the opportunity to work on exciting projects and contribute to the development of our diagnostic technologies.

We offer a dynamic and supportive work environment, with opportunities for professional growth and development. Our team is passionate about innovation and excellence, and we are committed to delivering high-quality results.

If you are a motivated and talented individual who is passionate about diagnostic technologies, we encourage you to apply for this释 opportunity.

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Your key responsibilities will include:

• Developing Advanced Driver Assist Systems (ADAS) control software functions and tuning vehicle control systems
• Developing functional software requirements related to CAN interface, Self-Diagnostic, Failsafe Detection for each vehicle development
• Performing project management activities, overseeing the testing of related vehicle systems, negotiating hardware and software interfaces to integrate the system into the vehicle, instrumenting and troubleshooting vehicles for testing, analysing test data, recommending solutions for test failures, and determining root cause(s)

To succeed in this role, you'll need:

• A Bachelor's or equivalent academic degree in Computer Science, Electrical/Electronics Engineering, Mechanical Engineering, Automotive Engineering, or Controls Engineering
• A minimum 3 years of relevant work experience in the industry
• Comprehensive understanding of vehicle dynamics, steering control functions, and experience for tuning vehicle control systems
• Comprehensive understanding of requirements management, function validation, diagnostics, and CAN structures
• Hands-on mechanical ability alongside good understanding of vehicle systems
• Analytical skills to prepare prototype vehicles for testing
• Ability to troubleshoot system issues and propose solutions to those issues
• PC Skills (Excel, Word, PowerPoint, CANalyzer, CANape, and other technical software)
• Excellent communication skills coupled with the willingness to pro-actively seek out information from others and convert concepts into specific requirements

This is an onsite job, based at the Honda Auto Development Centre (ADC), in Raymond, OH. One remote workday a week may be possible with prior departmental approval.

As a Senior ADAS Test Engineer at Honda, you'll enjoy a competitive base salary, paid overtime, regional bonus, industry-leading benefit plans, paid time off, company-paid short-term and long-term disability, 401K plan with company match, and relocation assistance (if eligible).

Advancement opportunities, career mobility, education reimbursement for continued learning, training and development programs, tuition assistance & student loan repayment, lifestyle account, childcare reimbursement account, elder care support, wellbeing program, community service and engagement programs, and product programs are also available.

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Honda has a clear vision for the future, and it’s a joyful one. We are looking for individuals with the skills, courage, persistence, and dreams that will help us reach our future-focused goals. At our core is innovation. Honda is constantly innovating and developing solutions to drive our business with record success. We strive to be a company that serves as a source of “power” that supports people around the world who are trying to do things based on their own initiative and that helps people expand their own potential. To this end, Honda strives to realize “the joy and freedom of mobility” by developing new technologies and an innovative approach to achieve a “zero environmental footprint.”

We are looking for qualified individuals with diverse backgrounds, experiences, continuous improvement values, and a strong work ethic to join our team.

If your goals and values align with Honda’s, we want you to join our team to Bring the Future!

Job Purpose

As member of Advanced Safety Controls (ASC) Division, your role would support the advancement and integration of driving assistance and vehicle dynamics control technologies working towards the future of electrification and advanced safety in Honda and Acura products. VCAP ADAS test engineers take ownership of developing a function or feature on the vehicle to suit the North American light duty market customer. You would work under the leadership and guidance of senior members in the group to build your knowledge and technical skills with autonomy as you gain experience.

Key Accountabilities

• Verify ADAS control system software function by completing standard requirement testing on simulation bench and in vehicle by proving grounds. Work with Technical Expert and other function PIC’s to countermeasure any issues found.
• Validate ADAS control system software through calibration by completing standard requirement testing on simulation bench and in vehicle by proving grounds. Work with Technical Expert and other function PIC’s to countermeasure any issues found.
• Support with preparation of verification test result documentation for assigned function and clearly present documentation to Section Chief, Technical Expert and Chief Engineer at data verification reviews. Continue to submit all necessary information as the development process moves forward.
• Support with management of one or more functions in vehicle development projects specifically related to ADAS control system specifications, actively maintain schedule and task list including internal, Japan R&D, and other function group schedules to ensure all expected deliverables are complete at each development milestone.
• Correlate with Technical Expert, Section Chief, or experienced PIC to support the integration of software functions into the vehicle, as well as verification of the function
• Develop own expertise and capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching. Gain or maintain external professional accreditations where relevant to improve performance and fulfil personal potential. Build proficiency in relevant technology and increase knowledge of external regulations and industry best practices through ongoing education, conferences, and specialist publications.
• Support with identifying shortcomings in function specifications through market analysis, competitive benchmarking, and other research activities. Suggest solutions to improve the overall product to the customer from these activities.

Qualifications, Experience, and Skills

• Bachelor of Science in Mechanical Engineering, Controls Engineering, Automotive Engineering
• Co-op/intern experience preferred
• Basic understanding of requirements management, function validation, diagnostics, and CAN structures or micro controller communication structures
• Familiarity with control specification development
• Demonstrated analytical skills necessary to troubleshoot control system issues, propose and implement potential solutions.
• Hands on mechanical ability / understanding of vehicle systems and cross functional interactions
• Strong PC Skills (Excel, PowerPoint, Project, and other technical software)
• Experience with data acquisition systems such as ETAS and Vector CAN tools is a plus
• Experience with programming (C++, Python, Java, Matlab, etc) is a plus
• Familiarity with ISO 26262 standard for functional safety
• Some travel domestic and internationally should be expected to visit various proving grounds, visit suppliers’ engineering offices and production locations and support Honda factories during pre-production launch timings.
• Valid driver’s license required to operate vehicles on proving grounds.

What differentiates Honda and make us an employer of choice?

Total Rewards:

• Competitive Base Wages (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
• Paid Overtime
• Regional Bonus (when applicable)
• Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
• Paid time off, including vacation, holidays, shutdown
• Company Paid Short-Term and Long-Term Disability
• 401K Plan with company match + additional contribution

Career Growth:

• Advancement Opportunities
• Career Mobility
• Education Reimbursement for Continued Learning
• Training and Development Programs

Additional Offerings:

• Lifestyle Account
• Childcare Reimbursement Account
• Tuition Assistance & Student Loan Repayment
• Elder Care Support
• Wellbeing Program
• Community Service and Engagement Programs
• Product Programs

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This role partners closely with Engineering and Production to ensure product producibility, define efficient build processes, develop tooling requirements, and support continuous improvement initiatives across assigned aircraft areas.

Key responsibilities include owning production process definition and implementation, developing and reviewing installation build plans, reviewing and approving engineering drawings and models, identifying and requesting manufacturing tooling, and managing Design for Manufacturability (DFM) requests.

You will also review and approve change requests, assess impacts to production, and coordinate with cross-functional teams. Additionally, you will support shop floor implementation of major engineering and process changes, drive process improvements to improve quality, efficiency, and production performance, and collaborate with suppliers, engineering, and production teams to support manufacturing execution.

As a Design Manufacturing Engineer II, you will have the opportunity to work on complex projects, develop your technical skills, and contribute to the success of Honda's manufacturing operations.

We offer a competitive base salary, paid overtime, regional bonus, industry-leading benefit plans, paid time off, and relocation assistance. We also provide opportunities for career growth, education reimbursement, training and development programs, tuition assistance, student loan repayment, lifestyle account, childcare reimbursement account, elder care support, wellbeing program, community service and engagement programs, and product programs.

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As a member of our team, you will take ownership of developing a function or feature on the vehicle to suit the North American light duty market customer. You will work under the leadership and guidance of senior members in the group to build your knowledge and technical skills with autonomy as you gain experience.

Your key accountabilities will include verifying ADAS control system software function by completing standard requirement testing on simulation bench and in vehicle by proving grounds. You will also validate ADAS system by completing standard requirement testing on simulation bench and in vehicle by proving grounds.

In addition, you will support with preparation of verification test result documentation for assigned function and clearly present documentation to Section Chief, Technical Expert and Chief Engineer at data verification reviews. You will continue to submit all necessary information as the development process moves forward.

You will also support with management of one or more devices in vehicle development projects specifically related to ADAS system specifications, actively maintain schedule and task list including internal, Japan R&D, and other function group schedules to ensure all expected deliverables are complete at each development milestone.

You will correlate with Technical Expert, Section Chief, or experienced PIC to support the integration of software functions into the vehicle, as well as verification of the function.

You will develop own expertise and capabilities by participating in assessment and development planning activities as well as formal and informal training and coaching. You will gain or maintain external professional accreditations where relevant to improve performance and fulfill personal potential. You will build proficiency in relevant technology and increase knowledge of external regulations and industry best practices through ongoing education, conferences, and specialist publications.

You will support with identifying shortcomings in system specifications through market analysis, competitive benchmarking, and other research activities. You will suggest solutions to improve the overall product to the customer from these activities.

The ideal candidate will have a Bachelor of Science in Electrical Engineering, Mechanical Engineering, Controls Engineering, Automotive Engineering, or Co-op/intern experience. They will have 6+ years of relevant experience if no degree.

They will have basic understanding of requirements management, function validation, diagnostics, and CAN structures or micro controller communication structures. They will have familiarity with control specification development.

They will have demonstrated analytical skills necessary to troubleshoot control system issues, propose and implement potential solutions.

They will have hands-on mechanical ability/understanding of vehicle systems and cross-functional interactions.

They will have strong PC skills (Excel, PowerPoint, Project, and other technical software).

They will have experience with data acquisition systems such as Vector CAN tools.

They will have some travel domestic and internationally to visit various proving grounds, visit suppliers' engineering offices and production locations and support Honda factories during pre-production launch timings.

They will have a valid driver's license to operate vehicles on proving grounds.

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Key responsibilities include reviewing discrepancy documents, developing repair dispositions, providing on-site technical support, assisting in determining if discrepancies are engineering-related or workmanship issues, and initiating design and process changes to correct design errors.

The ideal candidate will have a Bachelor's of Science degree in Mechanical or Aerospace Engineering, with 5+ years of experience in MRB type design and/or repair of aircraft structures & systems. They will also have working knowledge of Aircraft structure and aircraft systems, materials, fasteners, production methods, corrosion prevention, production hand tools, non-destructive testing, and Standard Repair Methods (SRM).

Additional requirements include proficiency in Microsoft Office Suites (Word, Excel, PowerPoint) and Lotus Notes, ability to write clear, concise, and easily understandable step-by-step rework, repair, and system troubleshooting instructions, and ability to create rework/repair drawings using CATIA, PowerPoint, Word, or hand-drawn sketches.

The successful candidate will be able to work independently or within a team-oriented environment, effectively communicate with all MRB team members and with all levels throughout the organisation, and be willing to travel to the shop floor or adjacent buildings to investigate problems on the aircraft or in production areas.

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You will take ownership of managing User Verification backlogs efficiently, finding gaps in our processes and proposing fixes that boost our operational efficiency, and supporting and motivating your team to reach their KPIs and grow professionally.

To thrive in this environment, you will need to have great empathy and high emotional intelligence, be a structured thinker who can make decisions independently and confidently, and be tenacious and relentless in your pursuit of excellence.

In addition, you will need to have proven skills in leading a team of User Verification Agents, a good knowledge of performance management and coaching, and a deep understanding of KYC, KYB, and EDD.

As a bonus, you will enjoy a hybrid setup with 2 days remote and 3 days in-office weekly, a MacBook, delicious lunches, private health insurance, and a monthly contribution to your phone and internet bills.

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We're not looking for a traditional SEO manager who just follows a playbook. We're looking for a strategic leader who lives and breathes AI-driven growth. Your mission is to build a sophisticated, self-improving organic growth engine, centered on our websites, that will become the primary driver of new users for bunq. This isn't about fragmented channels or theoretical strategy. It's about taking ownership of the entire organic ecosystem,from technical foundations to AI-powered content and conversion,and building a compounding flywheel that positions us to win the future of search.

Take Ownership

As our Head of Organic Growth, you are the architect of our website growth. You will:

Bridge Strategy and Execution: You won't just create plans, you'll build the system. You are technically proficient enough to guide on-site optimization but strategic enough to design a cohesive, multi-year growth plan.

Build a Closed Loop Website Growth Engine: Own the integration of our organic channels, focused exclusively on bunq.com and tricount.com. You will connect technical SEO, AI driven content, paid signals, and conversion optimization into a single, unified engine that learns from every interaction.

Innovate Beyond the SEO Playbook: Move beyond outdated tactics. You will architect and implement a modern growth strategy that leverages AI for programmatic content, workflow automation, and preparing our web properties for the next generation of AI driven search.

Lead a High-Performance, AI First Team: Lead, and scale a lean, high output team. Your focus is to 10x impact by replacing manual work with intelligent systems and clear frameworks, ensuring you deliver measurable results, not just reports.

Requirements

This challenge is for you if...

You are a strategic doer, not just a manager or a technician. You have a history of building growth systems from the ground up.

You think in systems, not just channels. You have proven expertise in designing AI driven growth loops that integrate SEO, content, and conversion into a compounding engine.

You are a master of modern, website centric SEO strategy and are obsessed with technical excellence, structured data, and what it takes to win in an AI search world.

You reject old playbooks and constantly seek innovative ways to drive growth, with a deep understanding of how AI is transforming organic discovery.

You have a get shit done mentality and thrive on taking ownership, moving fast, and driving projects to completion in a high-performance environment.

Curious to see how we make life easy? - try the bunq app, it only takes 5 minutes to sign up.

Your space to perform

We give you the space and the tools you need to succeed

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You will work together with experienced colleagues to ensure that our partners can successfully implement and continuously optimize our solutions. You will have the opportunity to dive deep into digital platform processes, partner onboarding, and performance optimization, and develop yourself step by step into an independent operations role.

Responsibilities:

• Support the implementation of HSD modules at new and existing partners.
• Accompany go-live phases and document technical setups.
• Support the analysis of product performance and create reports.
• Handle incoming technical partner requests.
• Maintain technical documentation and participate in testing new features.
• Collaborate closely with account management, product, and customer support.
• Collect partner feedback and pass it on to product and development teams.

Requirements:

• First professional experience (0-2 years) in a technical, digital, or customer-oriented environment (e.g., support, operations, consulting, project assistance, IT, e-commerce, SaaS).
• Basic technical understanding and interest in digital platforms and interfaces.
• Structured, reliable working style and willingness to learn.
• Good communication skills and enjoyment of working with customers and teams.
• First experiences with CRM or ticket systems are beneficial.
• Very good German and good English language skills.

Benefits:

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu, ideas become real products, data informs our decisions, and continuous improvement helps us learn faster. Your work has meaning – and you'll see the difference directly.
• Learning: Grow in a culture that lives by curiosity and open feedback. Learn from our outstanding colleagues, work across disciplines, and benefit from mentoring and personal learning budgets – with a special focus on AI.
• Great people: Join a team of smart, motivated, and international colleagues who challenge and support each other. We celebrate successes and keep our culture entertaining, ambitious, and human. Our customers are guests and hosts – people you can identify with – which makes our work meaningful and inspiring.
• Technology: Work in a modern tech environment. Experience the pace of a scale-up combined with the stability of a proven business model that allows you to continuously develop, test, and optimize new things.
• Flexibility: Enjoy the benefits of a hybrid work model with at least 50% office time for personal collaboration and work up to 8 weeks a year from inspiring locations. Stay connected through regular events and meetups across our nearly 30 offices.
• Additional benefits: Of course, we offer travel discounts, fitness rebates, and other perks that keep you full of energy. What sets us apart, however, is the opportunity to grow in a dynamic industry with great people and have a lot of fun.

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In this role, you will contribute to the continuous improvement of our DevOps processes, collaborate with cross-functional teams, and apply best practices for scalable, reliable, and secure systems.

Our ideal candidate has a solid technical foundation, a strong hands-on approach, and the ability to deliver results with minimal supervision.

Our Tech Stack

• Cloud: AWS (EC2, S3, RDS, EKS, Elasticache, Lambda)
• Container Orchestration: Kubernetes with Helm
• Infrastructure as Code: Terraform + Terragrunt, Pulumi/ CDK
• Monitoring & Observability: Prometheus, Grafana, Elastic Stack, OpenTelemetry
• CI/CD: Jenkins, GitHub Actions, ArgoCD, ArgoRollouts
• Scripting: Python, Go, Bash
• Version Control: GitHub
• Collaboration: Jira (Agile)
• Automation: N8N, AI-assisted tooling (Agentic ADK)

Your role in this journey

As a DevOps Engineer, you will be responsible for:

• Implementing and maintaining infrastructure definitions using Terraform, Pulumi, or similar tools
• Ensuring IaC standards are followed and contributing improvements to existing modules and patterns
• Managing and monitoring AWS services, ensuring system performance, availability, and adherence to best practices
• Troubleshooting production issues and participating in capacity planning
• Maintaining and troubleshooting Kubernetes clusters , deploying workloads, managing configurations, scaling services, and resolving incidents to support high-availability applications
• Maintaining and improving CI/CD pipelines to ensure smooth, automated software delivery
• Identifying bottlenecks and implementing enhancements across Jenkins, GitHub Actions, ArgoRollouts and ArgoCD
• Maintaining and extending our monitoring stack (Prometheus, Grafana)
• Building dashboards, configuring alerts, and improving observability to ensure comprehensive visibility into system health and performance

Your backpack is filled with

• 4+ years of experience in a DevOps, SRE, or cloud engineering role with hands-on production experience
• Solid working experience with AWS services (EC2, EKS, S3, RDS, Lambda) and cloud infrastructure management
• Hands-on experience with Docker and Kubernetes in production environments , deploying, scaling, and troubleshooting containerized workloads
• Practical experience with at least one Infrastructure as Code tool (Terraform, Pulumi, or AWS CDK)
• Experience maintaining and improving CI/CD pipelines using tools like Jenkins, GitHub Actions, or ArgoCD
• Proficiency in scripting with Python, Bash, or Go for operational automation
• Working knowledge of monitoring and observability tools such as Prometheus, Grafana, or similar platforms
• Familiarity with logging and log aggregation systems (Elastic Stack, Open Telemetry, or similar)
• Solid understanding of Linux administration, networking fundamentals, and system security basics
• Strong communication skills with the ability to collaborate across teams and explain technical decisions clearly

Nice to Have

• Experience with Helm charts and Kubernetes package management
• Familiarity with GitOps workflows (e.g., Github Actions, ArgoCD, Flux)
• Experience with designing AWS services-based architectures is a plus
• Experience with AI automation or low-code/no-code platforms such as N8N is a plus
• Familiarity with prompt engineering and using AI tools to augment DevOps workflows
• Exposure to cost optimization strategies for cloud infrastructure
• Experience with incident response, on-call rotations, or SRE practices (SLOs, error budgets)
• Experience with DevSecOps practices , integrating security scanning and compliance into CI/CD pipelines

Our adventure includes

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts
• Learning: Grow professionally in a culture that thrives on curiosity and feedback
• Great People: Join a team of smart, motivated, and international colleagues who challenge and support each other
• Technology: Work in a modern tech environment
• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations
• Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized

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The successful candidate will be directly involved in a critical path for high-volume trading with a core focus on technical and economic performance. They will work closely with quantitative research to optimize the firm's overall execution performance.

Key responsibilities include:

• Building out the C++ low-latency framework for algorithmic trading
• Developing execution algorithms, order management systems, strategy containers, market data handlers, and trading interfaces
• Enhancing the platform's efficiency using network and systems programming
• Creating systems, interfaces, and tools for historical market data and trading simulations
• Assisting in building and maintaining automated tests, performance benchmark framework, and other tools

The ideal candidate will have 5+ years of professional experience in a front-office, financial services environment as a senior contributor, with a strong background in data structures, algorithms, and object-oriented programming in C++. They should be proficient with new features of C++17/C++20/C++23, multithreading, and asynchronous environments. A degree in computer science or a related field is required.

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future.

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The successful candidate will conduct ongoing WMA compliance reviews, address compliance-related items for the launches of new WMA funds and separately managed accounts (“SMAs”), assist with regulatory examinations, inquiries, investigations and projects, as necessary.

Key responsibilities include monitoring global regulatory changes, updates and industry-wide compliance initiatives, assisting with drafting and amending compliance-related policies and procedures, creating and implementing additional WMA compliance reviews, reviewing marketing materials for WMA funds and SMAs, and preparing and conducting compliance trainings.

This role requires a strong analytical / conceptual problem-solving skills with attention to detail, a strong sense of ownership and personal responsibility, ability to prioritise, multi-task, and manage deadlines while successfully completing assignments, strong written and verbal communication skills, as well as the ability to coordinate efforts and projects across teams and departments.

The ideal candidate will have 14+ years of experience at a regulatory authority, bank/broker or buy-side firm, investment management compliance experience, inclusive of addressing regulatory items related to launching and ongoing compliance oversight of funds and SMAs, experience with addressing algorithmic/systematic trading matters is preferred, with an understanding of model-based trading and investment/execution algorithms.

A Bachelor’s degree in Computer Science, Finance, Economics or similar with a strong academic record is preferred, law degree is preferred, an understanding of global financial markets, including market structure, is preferred.

Good team player with a strong willingness to participate and help others.

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The team fosters a collaborative environment and is building a best-in-class program to partner with the business to protect the Firm’s information and computer systems. Millennium is a complex and robust technical environment and securing the Firm from external and internal threats is a top priority.

Responsibilities

• Define and implement security guardrails for Generative AI, LLMs, and Agentic frameworks, ensuring safe enterprise adoption.
• Conduct specialized threat modeling, red teaming, and risk assessments for AI/ML models (e.g., testing for prompt injection, model theft, and data poisoning).
• Lead risk management activities, including application risk assessments, design reviews, and mitigation strategies for IT projects.
• Engage throughout the SDLC to identify vulnerabilities, conduct code reviews/penetration testing, and enforce secure coding standards.
• Evangelize AppSec and AI security best practices through developer education, training materials, and outreach.
• Design robust security architectures and integrate automated security testing (SAST/DAST/SCA) into CI/CD pipelines.
• Partner with Technology, Trading, Legal, and Compliance to create policies and communicate technical risks to non-technical stakeholders.

Qualifications

• Bachelor's degree or higher in Computer Science, Computer Engineering, IT Security or related field.
• 5+ years’ experience working as an Application Security Engineer, Software Engineer, or similar role.
• Deep understanding of AI-specific risks (OWASP Top 10 for LLMs) and experience securing applications utilizing LLMs.
• Experience working with AI models, Agentic frameworks and security risks associated with AI.
• Experience in working with global teams, collaborating on code and presentations.
• Demonstrated work experience in hybrid on-premise and Public Cloud environments (AWS/GCP/Azure)
• Strong understanding of security architectures, secure configuration principles/coding practices, cryptography fundamentals and encryption protocols.
• Experience with common SCM & CI/CD technologies like GitHub, Jenkins, Artifactory, etc. and integrating Security Scanning and Vulnerability Management into the CI/CD Pipelines
• Familiarity with static and dynamic security analysis tools, and SCA/SBOM solutions.
• Hands on experience with Secrets Management & Password Vault technologies such as Delinea Secret Server and/or Hashicorp Vault, etc.
• Strong experience in secure programming in languages such as Python, Java, C++, C#, or similar.
• Familiarity with Infrastructure as Code tools (CloudFormation, Terraform, Ansible, etc.)
• Familiarity with web application security testing tools and methodologies.
• Knowledge of various security frameworks and standards such as ISO 27001, NIST, OWASP, etc.
• Knowledge of Linux, OS internals and containers is a plus.
• Certifications like CISSP, CISM, CompTIA Security+, or CEH are advantageous.

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Our team is a specialized group of engineers operating at the intersection of technology and quantitative finance. We function as an internal centre of excellence, providing expert-level solutions, architecture, and hands-on development in AI, Cloud (AWS/GCP), DevOps, and high-performance computing.

As a forward deployed software engineer, you will be responsible for translating complex research requirements into robust, scalable, and secure technical architectures across on-prem, hybrid, and cloud environments. You will write high-quality, production-ready code across the full stack, including Python libraries, infrastructure-as-code (Terraform), CI/CD pipelines, automation scripts, and ML/AI proof-of-concepts.

You will also develop and maintain our suite of managed products, reusable patterns, and best practice guides to provide self-service options and accelerate onboarding for new and existing teams. Additionally, you will act as the primary technical point of contact for embedded engagements, owning projects from discovery and planning through to implementation, knowledge transfer, and support.

To succeed in this role, you will need to have a deep understanding of computer science principles, including data structures, algorithms, and system design. You will also need to have experience working with cloud providers, such as AWS or GCP, and be familiar with infrastructure-as-code concepts. Excellent verbal and written communication skills are also essential, as you will need to build strong relationships with stakeholders and articulate complex ideas to diverse audiences.

Innovative thinking and a passion for AI/ML and its practical applications are highly desirable. Experience designing systems and architectures from ambiguous business needs, as well as experience with scheduling or asynchronous workflow frameworks/services, is also preferred.

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The successful candidate will have a proven understanding in enterprise security and AI security and will focus on defining and implementing security guardrails for Generative AI, LLMs, and Agentic frameworks, ensuring safe enterprise adoption.

Key responsibilities include:

• Defining and implementing security guardrails for Generative AI, LLMs, and Agentic frameworks
• Conducting specialized threat modeling, red teaming, and risk assessments for AI/ML models
• Leading risk management activities, including application risk assessments, design reviews, and mitigation strategies for IT projects
• Engaging throughout the SDLC to identify vulnerabilities, conduct code reviews/penetration testing, and enforce secure coding standards
• Evangelizing AppSec and AI security best practices through developer education, training materials, and outreach

Qualifications include:

• Bachelor's degree or higher in Computer Science, Computer Engineering, IT Security or related field
• 5+ years' experience working as an Application Security Engineer, Software Engineer, or similar role
• Deep understanding of AI-specific risks (OWASP Top 10 for LLMs) and experience securing applications utilizing LLMs
• Experience working with AI models, Agentic frameworks and security risks associated with AI
• Experience in working with global teams, collaborating on code and presentations

Preferred qualifications include:

• Demonstrated work experience in hybrid on-premise and Public Cloud environments (AWS/GCP/Azure)
• Strong understanding of security architectures, secure configuration principles/coding practices, cryptography fundamentals and encryption protocols
• Experience with common SCM & CI/CD technologies like GitHub, Jenkins, Artifactory, etc. and integrating Security Scanning and Vulnerability Management into the CI/CD Pipelines
• Familiarity with static and dynamic security analysis tools, and SCA/SBOM solutions
• Hands on experience with Secrets Management & Password Vault technologies such as Delinea Secret Server and/or Hashicorp Vault, etc.
• Strong experience in secure programming in languages such as Python, Java, C++, C#, or similar
• Familiarity with Infrastructure as Code tools (CloudFormation, Terraform, Ansible, etc.)
• Familiarity with web application security testing tools and methodologies
• Knowledge of various security frameworks and standards such as ISO 27001, NIST, OWASP, etc.
• Knowledge of Linux, OS internals and containers is a plus
• Certifications like CISSP, CISM, CompTIA Security+, or CEH are advantageous

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.

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Primary Responsibilities:

• Lead and perform IT and integrated audit engagements, with support from IT Auditors, focusing on IT core infrastructure, trade execution and trade processing infrastructure, critical applications, and IT general controls;
• Build and maintain relationships with key stakeholders, establishing a culture of engagement while adding value;
• Develop and maintain an in-depth understanding of the technology organization, business areas, and support functions;
• Support the Head of Information Technology Audit with audit planning, scope design, internal control assessment, raising and reporting of issues, and monitoring of remediation plans;
• Participate in department-wide initiatives focused on continually improving firm processes and the control environment;
• Assist with annual risk assessment process, audit plan creation, and other departmental administrative projects.

Qualifications/Skills Required:

• 12+ years of IT audit experience with exposure to core IT infrastructure, cyber security, equities trading, fixed-income trading, operations, and/or trade support functions;
• Strong analytical and reporting skills and effective relationship-building experience;
• Effective communication (verbal and written) and inter-personal skills, with the ability to present sophisticated and sensitive issues to management and inspire change;
• Knowledge and experience of core IT infrastructure platforms (e.g., Windows, Unix, Sybase, SQL), cyber security, cloud technology, networks, firewalls, and/or data analytics;
• Extensive knowledge of the audit lifecycle and the evaluation of IT general controls and IT automated controls;
• Bachelor’s degree in Information Systems, Computer Science/Engineering, or other relevant fields;
• A related certification (e.g., CISA, CISSP, CIA) is desired;
• Domestic and international travel requirements: 0%-10%.

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future.

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We are looking for a C++ engineer to design and build high-performance, low-latency applications that process large volumes of real-time data.

Principal Responsibilities:

• Design, implement, and maintain high-performance C++ services handling high message rates and low-latency workloads.

• Optimise existing components for latency, throughput, and CPU/memory efficiency.

• Develop and tune networking, messaging, and I/O layers to handle large data volumes reliably.

• Profile and debug performance issues at application, OS, and network levels.

• Collaborate with quantitative, trading, and infrastructure teams to translate requirements into robust technical solutions.

• Write clean, production-quality code with appropriate tests and documentation.

• Participate in code reviews, design discussions, and continuous improvement of engineering practices.

Required Qualifications:

• Strong proficiency in modern C++ (C++17/20 or later).

• 5+ years of experience.

• Analytics Focus: KDB / Q Experience for large market data, modern data analysis with pytorch, pandas and modern tooling including Apache arrow.

• Familiar with basics statistics as applied to financial research.

• Proven experience building performance-critical, real-time, or low-latency systems.

• Strong knowledge of computer science fundamentals: data structures, algorithms, memory management, and optimisation.

• Experience using profiling, benchmarking, and performance analysis tools.

• Proficiency with version control (Git) and standard build systems.

• Excellent problem-solving skills and attention to detail.

• Strong interpersonal skills with a proven ability to navigate large organisations.

Preferred Qualifications:

• Experience with kernel bypass or user-space networking technologies.

• Familiarity with AI productivity enhancing coding tools.

• Experience in financial markets, market data distribution, order routing, or exchange connectivity.

• Experience with monitoring/telemetry for high-performance systems.

• Familiarity with scripting languages for tooling and automation.

• AI: Familiarity with AI productivity enhancing coding tools.

Personal Attributes:

• Obsessed with performance, measurement, and data-driven optimisation.

• Comfortable owning features end-to-end and operating in a production environment.

• Clear communicator who can work closely with both technical and non-technical stakeholders.

• Proactive, self-directed, and able to thrive in a highly iterative environment.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

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You will join Holidu's Product Marketing team for the Host business , a lean, high-impact team responsible for positioning, go-to-market strategy, website communication, and measurable commercial impact.

We operate at the intersection of Product, Sales & Account Management, Lifecycle Marketing, Business Intelligence, Brand, and Marketing Tech. Our work directly shapes how 40k+ hosts understand, adopt, and trust Holidu.

As part of a small team with broad ownership, you will gain exposure to both strategic positioning work and hands-on execution across multiple channels.

Your role in this journey

This is not a classic content internship. A central focus of your role will be supporting the implementation and continuous optimization of our Host positioning across all relevant touchpoints , from website and product communication to sales materials and onboarding flows.

Beyond positioning, you will work across the full Product Marketing scope:

Messaging quality across touchpoints: Audit host-facing communication for clarity, consistency, and strategic alignment. Identify gaps, propose structured improvements, and translate positioning frameworks into persuasive, high-performing copy.

Host Marketing Website & experimentation: Support the evolution of our website , messaging, structure, and localization consistency , and help run structured experiments (hypotheses, baselines, variants, learnings) that connect narrative to performance.

Proof points & performance storytelling: Work with Business Intelligence to turn data into compelling, KPI-backed messaging that strengthens credibility and makes our value proposition tangible.

Feature launches & internal enablement: Support go-to-market initiatives for new features through structured messaging assets, internal briefings, and cross-functional coordination.

Research & insight building: Assist in lightweight research initiatives , micro-surveys, user testing, feedback synthesis , and help build structured knowledge inputs that improve AI-supported workflows and messaging consistency.

Your backpack is filled with

You are either:

• Currently enrolled in a degree in Business, Marketing, Economics, Strategy, Communications, Data, or a related field, or
• A recent graduate looking for a high-learning, high-ownership entry into Product Marketing.

You bring:

• Strong analytical and structured thinking.
• The ability to connect messaging to business impact.
• Excellent English writing skills.

Fluency in German or another European core market language (French, Italian, Spanish, Portuguese, Greek, Croatian) is a strong plus.

• Curiosity about strategy, persuasion, and experimentation.
• Comfort working with AI tools to accelerate research, writing, and workflows.

• A proactive mindset , you take initiative instead of waiting for perfect instructions.

• Comfort navigating ambiguity and collaborating cross-functionally.

Nice to have:

• Exposure to SaaS, marketplaces, or tech-enabled businesses.
• Experience with analytics, dashboards, or A/B testing.
• A consulting-style or research-driven way of thinking.

Our adventure includes

• Compensation: Get a fair salary.
• Impact: Make a difference for hundreds of thousands of monthly users.
• Growth: Take responsibility from day one and develop through regular feedback.
• Community: Engage with international, diverse, yet like-minded colleagues through regular events and 2 office days per week with your team.
• Flexibility: Benefit from our hybrid work policy and the chance to work from other local offices for up to 8 weeks a year.
• Fitness: Get a premium gym membership at a discounted rate.

Need a sneak peek?

• Check out the adventure that awaits you on Instagram @lifeatholidu.
• See also what Life as an intern looks like at Holidu!

Want to travel with us?

Apply online on our career page! Your first travel contact will be Sabrina from HR.

We are committed to diversity in all aspects of our business. We encourage applications from all genders, all corners of the world and all individual backgrounds. You are welcome to submit your application without a photo and without stating your gender, date of birth, marital status, nationality or disability status (if applicable).

If you require any special assistance when arranging interviews, office visits or the recruitment process in general, please contact the relevant HR person responsible for this job and we will do our best to accommodate your needs.

CONTACT_PERSON

SABRINA

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Based in New York, the successful candidate will have strong analytical and problem-solving skills, excellent attention to detail, and the ability to explain sophisticated technical concepts clearly and concisely.

The role requires high autonomy, as much of the senior technical team is based in Dublin and the New York hire will be relied upon heavily in-region.

Principal Responsibilities:

• Contribute to a wide range of projects and deliver quickly and iteratively.
• Write, support, maintain, and test code following best practices, including unit testing, documentation, and automation within standard CI/CD processes.
• Support key datasets (live and historical), ML models, and the supporting infrastructure spanning multiple technologies, languages, and systems.
• Partner with team members to set the overall direction, design, and architecture of the platform; collaborate with key stakeholders across the business.

Qualifications / Skills Required:

• 6+ years of kdb+ and Python experience in a quantitative finance setting, with a proven track record of deploying systems at scale.
• Bachelor’s degree in Mathematics, Computer Science, Financial Engineering, Operations Research, or similar.
• Fluency with enterprise-grade technology used for research and trading analytics; ability to operate independently.
• Strong communication skills and the ability to work effectively in a team environment.

The estimated base salary range for this position is $160,000 to $250,000, which is specific to New York and may change in the future.

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Responsibilities:

• Build the core application and workflow agents for Market Data Operations in Python; integrate with AWS and internal systems like the Market Data Warehouse.
• Ingest and understand contracts at scale, using LLMs to extract costs, fee schedules, entitlements, renewal terms, and payment details.
• Connect the dots between contracts, entitlements, invoices, and payments so Ops, Legal, and Finance can see a single 'source of truth' and catch issues early.
• Design and tune LLM workflows (prompt engineering, tool/MCP integration, structured outputs) for contract Q&A, summarization, and exception flagging.
• Own monitoring and controls for the AI system: logging, metrics, guardrails, and human-in-the-loop review to keep performance, reliability, and quality high.
• Work directly with stakeholders (Market Data Ops, analysts, Legal, Finance/AP) to understand their workflows and quickly iterate on features that actually get used.

Required Skills & Experience:

• Bachelor's degree in Computer Science or a related field.
• 5+ years of professional experience with Python, including building production services (Django, Flask, or FastAPI).
• Experience working with unstructured documents (contracts, PDFs, legal docs) and turning them into structured data.
• Prompt engineering and working with structured JSON outputs
• Comfort wiring models into real applications (tool/MCP-style integrations, APIs).
• Experience using cloud platform, ideally AWS.
• Able to define and track quantitative metrics for AI features (accuracy, latency, cost, etc.).
• Strong communication skills and comfortable working directly with non-technical users.
• Enjoys a start-up-like environment inside a large firm: small team, high ownership, fast iteration.

Nice to Have:

• Experience building AI solutions in financial services, especially around market data, vendor management, or legal/contract workflows.
• Familiarity with entitlements/governance and large internal data platforms (e.g., a Market Data Warehouse).

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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Principal Responsibilities:

• Develop and maintain high-quality C++ code for our trade capture system
• Collaborate with cross-functional teams to identify and prioritize feature requirements
• Design and implement efficient algorithms and data structures to meet system performance goals
• Troubleshoot and resolve complex technical issues in a timely manner
• Participate in code reviews and contribute to the improvement of our codebase

Qualifications:

• Bachelor's degree in Computer Science or a related field
• 7+ years of experience in developing C++ server-side applications in Linux
• Strong understanding of network programming and Linux O/S internals
• Strong understanding of object-oriented programming and data structures
• Understanding of SQL and relational databases
• Knowledge in Equities, Futures, FX, Options, and various Fixed Income products is strongly preferred

Benefits:

• Competitive total compensation package including base salary, discretionary performance bonus, and comprehensive benefits
• Opportunity to work with a talented team of professionals in a dynamic and fast-paced environment
• Flexible working hours and remote work options

When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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Key Responsibilities:

Datacentre & Tech Room Operation

• Own the physical operation of the datacentres (power, cooling, space, cabling, security) and office technology rooms.
• Perform racking/stacking, structured cabling (copper/fibre), labelling, patching, and cable hygiene.
• Manage hardware lifecycle: installation, upgrades, moves/adds/changes, and decommissioning of servers, storage, and network gear.
• Coordinate and perform hardware replacements including RMAs with local and international vendors.
• Conduct regular inspections and capacity checks (power, cooling, space, ports) and proactively flag risks.

Infrastructure Monitoring, Incident & Change Management

• Monitor infrastructure and environmental alerts, respond to incidents, and perform first-line troubleshooting.
• Work within established ITIL/ITSM processes for incident, request, and change management (ServiceNow and Jira).
• Participate in maintenance windows and on-call/extended-hours work as needed for a 24x7 environment.
• Maintain accurate records (rack elevations, patch maps, serials, locations) in CMDB/asset inventory (ServiceNow and Nlyte).

Network Operations Support (CCNA-Level)

• Support deployment and basic configuration of network devices (switches, routers, firewalls, load balancers) under direction of Network Engineering.
• Perform physical connectivity tasks: patching, validating links, assigning and validating VLANs, and basic Layer 2/3 troubleshooting.
• Assist with basic configuration changes (e.g., access ports, trunks, simple routing changes) following strict change control.

Tooling, Automation & Integration

• Use and help enhance DCIM, monitoring, logging, and ITSM ecosystem for visibility and control of the datacentre estate.
• Contribute to the development of light automation to reduce manual tasks (inventory updates, checks, reporting).
• Contribute to the integration of the datacentre-related dataset with central platforms (CMDB, monitoring, capacity tools) via APIs and CLI tools.
• Contribute to and improve runbooks, SOPs, and documentation to standardize and automate recurring activities.

Risk, Compliance & Best Practice

• Adhere to security, compliance, and governance in accordance with the regulatory requirements for structured cabling and infrastructure.
• Follow strict access control, audit, and change procedures in line with local building management and colocation facility requirements applicable to datacentre facilities.
• Ensure all activities are performed with safety, resilience, and high availability in mind to support Millennium operations.

Essential Qualifications & Experience

• 5+ years in a datacentre or large-scale infrastructure environment (financial services or other mission-critical environments a plus).
• Proven experience managing racks, cabling, hardware installation, and decommissioning in multi-cabinet environments.
• Experience supporting office technology rooms / comms rooms (IDF/MDF) in addition to core datacentres.
• Prior experience working within carrier-neutral datacentre environments is highly desirable.

Datacentre & Hardware Skills

• Strong hands-on skills in racking/stacking, structured cabling (copper and fibre), and patch management.
• Understanding of datacentre power and cooling (PDUs, UPS, dual feeds, capacity management, hot/cold aisle concepts).
• Experience with remote management technologies (IPMI, iDRAC, iLO, console servers, OOB management).

Networking Skills (CCNA-Level)

• Solid understanding of TCP/IP, VLANs, trunking, basic routing, subnetting, and access control concepts.
• Ability to perform basic configuration and CLI-based troubleshooting on enterprise switches and routers.
• CCNA certification (or equivalent knowledge/experience) strongly preferred.

Tooling, Automation & Integration

• Comfortable working with ITSM and CMDB tools (e.g., ServiceNow, Jira Service Management) for tickets and asset management.
• Basic scripting ability (Python, PowerShell, or Bash) for task automation and data manipulation.

Desired Skills & Attributes

• Experience with DCIM tools and visual rack/patch management (e.g., Nlyte, NetBox or similar).
• Strong documentation skills (rack diagrams, patching schematics, runbooks, standard operating procedures).
• High attention to detail, strong sense of ownership, and ability to work independently.
• Clear and concise communication skills; able to coordinate with local facility management, vendors, and global teams across time zones.
• Ability to liaise with local vendors, building management, and colocation facility staff.

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Responsibilities:

• Collaborate with cross-functional teams to develop and implement real-time algorithmic trading systems and execution platforms.
• Design, build, and maintain high-quality software to meet product performance and quality expectations.
• Stay current on state-of-the-art technologies and tools, including technical libraries, computing environments, and academic research.
• Troubleshoot and resolve complex issues with our critical trading infrastructure.

Requirements:

• Strong server-side Java knowledge, including Spring Boot framework.
• Experience with financial order/execution data, positions data, and market data.
• Knowledge of equities, options, SOR, VWAP, algorithmic trading platforms, or market microstructure.
• High focus on testability of programs (TDD/XP-based development preferred).
• Experience with proprietary Java frameworks and design patterns.
• Good DevOps understanding to drive testing automation.

Preferred Qualifications:

• 5+ years of development experience in Algos or order management systems.
• Good understanding of Asia equities markets, including auctions, microstructure, and regulatory constraints.
• Experience with inventory optimization in developing markets in Asia (non-give up) highly desirable.
• Good team player with excellent written and oral communication skills.
• Quick thinker and problem solver, able to think on their feet and make informed decisions.

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Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week.

Our head office is purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.

As a Senior Clinical Data Manager II, you will be responsible for coordination of the Clinical Data Management (CDM) deliverables on assigned clinical studies and may be an expert on CDM processes, standards, and technology.

You will coordinate the Clinical Data Management deliverables on assigned studies depending on the relevant model and DM Vendor. Takes accountability and serves as the first line of contact at the study level.

Demonstrates leadership and operational knowledge in the planning and delivery of CDM deliverables at a study level potentially under mentorship from a Project Data Manager.

Communicates and collaborates effectively with all study team members. Primary point of contact for DM vendor and provides guidance and supervision to Lead Data Manager/DM Team Lead working on the study (CRO or in-house).

Oversight of day-to-day operational aspects of CDM for assigned studies; Responsible to identify risks and collaborate with the DM Vendor to mitigate the risk. Escalates issues/risks when necessary.

Understands corporate, therapeutic/indication or program specific data capture AZ standards.

Provide input into CDM related activities associated with regulatory inspections/audits for assigned studies.

Responsible for compliance to Trial Master File requirements relating to DM Vendor - Support Senior Leaders to oversee CDM Vendor performance, depending on relevant model. Review, assess and manage DM Vendor delivery against KPIs, budget and overall performance.

Oversees vendor timelines and milestone deliverables for the assigned studies. Ensures DM Vendor billing is accurate and gives recommendations for payment of invoices.

Drive adherence to AZ CDM standards and processes for data quality and consistency of data capturing for assigned studies.

Demonstrates willingness to take on ad-hoc activities consistent with current CDM work experience.

Ensures relevant training is completed prior to performing tasks.

Mentoring junior Clinical Data Management colleagues - Performs CDM related ad-hoc requests from Line Manager.

Essential Skills/Experience:

Minimum of university or college degree in the life sciences or related subject, pharmacy, nursing or equivalent relevant degree

Minimum of 5 years of Clinical Data Management and experience in the Biotech/Pharma/CRO industry

Demonstrated current understanding of Good Clinical Data Management Practices (GCDMP) and relevant regulatory requirements

Demonstrated experience of clinical databases, different clinical data management systems and electronic data capture (EDC)

Demonstrate understanding and experience in query management process and reconciliation activities

Ability to work flexibly on simultaneous projects and proactively manage time to meet own deadlines.

Excellent written and verbal communication skills

Ability to work in a global team environment

Excellent organizational analytical skills and high attention to detail

Desirable Skills/Experience:

Demonstrated knowledge of clinical and pharmaceutical drug development process

Demonstrated understanding of clinical data system design / development / validation and system interoperability.

Demonstrated ability to work effectively with external partners

Understanding of database structures, programming languages, data standards (CDISC) and practices as they apply to CRF design, database development, data handling and reporting

Knowledge of SQL or SAS software

Experience leading clinical studies as Data Management Lead

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In this role, you will work closely with the business to gather and synthesise requirements, analyse data dependencies, and create project plans. You will also be responsible for managing day-to-day project deliverables, highlighting and escalating issues, and resolving conflicts and roadblocks.

Key responsibilities include:

• Working with the business to gather and synthesise requirements across both investment teams and core business asks
• Analysing upstream/downstream data dependencies and creating the necessary BRD/FRD, JIRA, and project plans
• Managing day-to-day project deliverables; highlighting, escalating, and resolving issues, conflicts, and roadblocks
• Creating user guides and other documentation that will be used to onboard new users to the platform
• Creating and maintaining product roadmaps and other project artifacts required to manage stakeholder expectations
• Coordinating/ tracking development tasks, testing, and verifying releases to ensure user requirements are being met

Required skills include subject matter expertise in Equities Derivatives, working knowledge of Equities Derivatives market data, pricing, and risk management methodologies, hands-on BA/PM experience working on proprietary derivatives pricing, analytics, and risk management systems, and high-level understanding of Asia Equities Options markets and requirements around listed options execution infrastructure.

Qualifications include 6+ years of experience in a relevant BA/PM role, experience working in a scrum environment, working knowledge of JIRA, development background or CFA, and basic understanding of Python and ability to read Java code to extract what is developed.

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This integration will enable seamless collaboration between teams and provide reliable, scalable data for analytics and reporting. We are looking for a Cloud Platform Engineer to design, build, and operate our AWS-based infrastructure and data platforms, using modern DevOps practices, infrastructure as code, and secure, well-engineered services in Python and C#.

The successful candidate will collaborate with global technology and business teams to design cloud-native solutions that support business development and onboarding workflows. They will partner with global stakeholders to understand requirements and translate them into secure, scalable AWS architectures and platform capabilities.

Key responsibilities include leading the end-to-end delivery of cloud and platform features, including design, implementation (Python/C#), infrastructure as code, testing, and deployment using DevOps practices.

We are looking for a highly skilled engineer with 6+ years of experience in software or platform engineering, with significant time spent building and operating solutions in cloud environments (AWS preferred).

The ideal candidate will have strong hands-on programming experience in Python and C#, with solid understanding of object-oriented design, design patterns, service-oriented / microservices architectures, concurrency, and SOLID principles.

They will also have proven experience designing and operating AWS-based platforms (e.g., EC2, ECS/EKS, Lambda, S3, RDS, IAM) using infrastructure as code (Terraform, CloudFormation, or CDK).

In addition, the successful candidate will have practical experience implementing DevOps practices and CI/CD pipelines (e.g., Jenkins, GitHub Actions, Azure DevOps), including automated testing, security scanning, and deployment.

Experience supporting data science and analytics platforms, including orchestration tools such as Airflow, distributed processing engines such as Spark, and cloud-native data pipelines is also required.

Good understanding of SQL and core database concepts; familiarity with AWS analytics services (e.g., Glue, EMR, Redshift, Athena) is a plus.

Awareness of cloud security best practices, including IAM, network security, data encryption, and secure configuration management is also necessary.

Strong problem-solving and analytical skills; demonstrated ability to take ownership, deliver in a fast-paced environment, and collaborate effectively with global teams is essential.

Excellent communication skills, with ability to work closely with both technical and non-technical stakeholders is also required.

Experience estimating, monitoring, and optimizing AWS infrastructure costs, including use of tools such as AWS Cost Explorer, AWS Budgets, and cost-allocation tagging strategies is desirable.

Experience designing and operating workloads across multiple cloud environments and on-premises, using centralized policies, governance, and controls to support business-aligned teams is also beneficial.

Working knowledge of networking across on-premises and cloud environments, including VPC design, subnets, routing, VPNs/Direct Connect, load balancing, DNS, and network security controls is necessary.

Nice to have experience with additional big data tools or platforms (e.g., Kafka, Databricks, Snowflake, Flink).

Familiarity with Capital Markets concepts and operating models is also beneficial.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future.

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

When finalising an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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In this role, you will play a critical role at the intersection of technology and trading, delivering order routing and internal liquidity products that optimize execution and drive savings for the firm.

Principal Responsibilities:

• Work with Execution Services and other internal stakeholders to gather and synthesise requirements across our algorithmic trading strategies.

• Drive the strategic expansion of the internal algo platform into new markets and asset classes.

• Analyse upstream/downstream data dependencies and create the necessary documented requirements, JIRAs, and project plans for core execution components.

• Create user guides and technical documentation to support the onboarding of new PMs and desks across our platforms.

• Create and maintain product roadmaps and artefacts required to manage stakeholder expectations across Trading and Technology.

• Manage day-to-day project deliverables; highlight, escalate, and resolve issues, conflicts, and roadblocks in a fast-paced trading environment.

Qualifications:

• 10 years of experience as a Technical Business Analyst or Project Manager in an enterprise-level FinTech environment.

• 5+ years of relevant trading technology experience, ideally on the buyside, and comfortable interacting with front-office, non-technical personnel.

• Subject matter expertise in Electronic Execution and Market Microstructure (Equities required, Futures highly preferred).

• Impactful individual contributor: Be able to lead a wide range of projects front to back.

• Technical skills: Self-sufficient with SQL for trade data analysis and troubleshooting. Experience with KDB/Q and/or Python for data analysis preferred. Experience with sequencer-based platforms is also desired.

• Communication: Strong communication skills and the ability to work effectively in a team environment.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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Responsibilities:

• Collaborate with cross-functional teams to gather requirements and user feedback
• Design, build, and refactor robust software applications with clean and concise code following Agile and continuous delivery practices
• Automate system maintenance tasks, end-of-day processing jobs, data integrity checks, and bulk data loads/extracts
• Stay up-to-date with industry trends, new platforms, and tools, and develop a business case to adopt new technologies
• Develop new tools and infrastructure using Python (Flask/Fast API) or Java (Spring Boot) and relational data backend (AWS – Aurora/Redshift/Athena/S3)
• Support users and operational flows for quantitative risk, senior management, and portfolio management teams using the tools developed

Qualifications:

• Advanced degree in computer science or any other scientific field
• 3+ years of experience in CI/CD tools like TeamCity, Jenkins, Octopus Deploy, and ArgoCD
• AWS Cloud infrastructure design, implementation, and support
• Experience with multiple AWS services
• Infrastructure as Code deploying cloud infrastructure using Terraform or CloudFormation
• Knowledge of Python (Flask/FastAPI/Django)
• Demonstrated expertise in the process of containerization for applications and their subsequent orchestration within Kubernetes environments
• Experience working on at least one monitoring/observability stack (Datadog, ELK, Splunk, Loki, Grafana)
• Strong knowledge of Unix or Linux
• Strong communication skills to collaborate with various stakeholders
• Able to work independently in a fast-paced environment
• Detail-oriented, organized, demonstrating thoroughness and strong ownership of work
• Experience working in a production environment
• Some experience with relational and non-relational databases

Nice to have:

• Experience with a messaging middleware platform like Solace, Kafka, or RabbitMQ
• Experience with Snowflake and distributed processing technologies (e.g., Hadoop, Flink, Spark)

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This role exists to bridge the gap between "getting data" and "engineering data," moving us from manual syncs to a fully automated ecosystem. By building custom pipelines and implementing a robust orchestration layer, you will directly enable our Operations teams and leadership to transition from basic reporting to sophisticated, AI-ready data products.

Your primary focus will be on Infrastructure-as-Code, orchestration, and building a resilient "plumbing" system that serves as the backbone for our entire Product and GTM strategy.

Your 12-Month Journey During the first 3 months: you will learn about our existing stack (GCP, BigQuery, Airbyte, dbt) and understand the current pain points in our data flow. You will identify and execute "low-hanging fruit" improvements to our product usage analytics, providing immediate value to the Product and GTM teams. You’ll begin designing the blueprint for our custom data pipelines and the migration strategy for moving our infrastructure into Terraform.

Within 6 months: You will have deployed our new orchestration layer (e.g., Airflow or Dagster) and successfully transitioned our first set of custom pipelines to production. Collaborating with the Analytics Engineer, you will enable a unified view of our customer journey by successfully merging product usage data with CRM and billing data. At this point, a significant portion of our data infrastructure will be defined as code, reducing manual overhead and increasing deployment reliability.

After 1 year: you will take full strategic ownership of the data platform and its long-term architecture. You will act as the go-to technical expert for the leadership team, advising on the scalability of new data-driven features. You will lay the groundwork for AI and Machine Learning initiatives by ensuring our data warehouse has the right quality controls, governance, and low-latency access patterns in place.

What You’ll Be Doing Architect Scalable Infrastructure-as-Code: Take our existing foundations to the next level by migrating all GCP and BigQuery resources into Terraform. You will establish automated CI/CD patterns to ensure our entire data environment is reproducible, version-controlled, and enterprise-ready.

Deploy State-of-the-Art Pipelines: Design, deploy, and operate high-quality production ELT pipelines. You will implement a modern orchestration layer (e.g., Airflow or Dagster) to build custom Python-based integrations while maintaining and optimizing our existing syncs.

Champion Data Quality & Performance: Act as the guardian of our data platform. You will implement rigorous testing and monitoring protocols to ensure data is accurate and timely. You will proactively identify BigQuery bottlenecks, optimizing query performance and resource utilization.

Technical Roadmap & Ownership: scope and architect end-to-end data flows from production source to warehouse. Manage your own technical backlog, prioritizing infrastructure stability over technical debt. You will ensure platform security and SOC2 compliance through PII masking, data contracts, and robust access controls.

Collaboration: You will work in a tight loop with the Analytics Engineer to turn raw data into actionable products. You will partner daily with DataOps and RevOps to understand business requirements, with occasional strategic syncs with DevOps and R&D to align on production schema changes and global infrastructure standards.

What You Bring Solid experience in Data Engineering, with a track record of building and evolving data ingestion infrastructure in cloud environments. The Modern Data Stack: Familiarity with dbt and Airbyte/Fivetran. You understand how these tools fit into a broader ecosystem. Expertise in BigQuery (partitioning, clustering, IAM) and the broader GCP ecosystem; Infrastructure-as-Code (Terraform). Hands-on experience with Airflow, Dagster, or similar orchestration tools. You know how to design DAGs that are resilient and easy to debug. DevOps practices in the data context: familiarity with CI/CD best practices as they apply to data (data testing, automated deployments). Programming: Expert-level Python and advanced SQL. You are comfortable writing clean, testable, and modular code. Comfortable in a fast-paced environment Project management skills: capable of managing stakeholders, explaining complicated technical trade-offs to non-technical users, and taking care of own project scoping and backlog management. Fluency in English, both written and spoken, at a minimum C1 level

What We Offer Flexibility to work from home in the Netherlands and from our beautiful canal-side office in Amsterdam A chance to be part of and shape one of the most ambitious scale-ups in Europe Work in a diverse and multicultural team €1,500 annual training budget plus internal training Pension plan, travel reimbursement, and wellness perks 28 paid holiday days + 2 additional days to relax in 2026 Work from anywhere for 4 weeks/year An inclusive and international work environment with a whole lot of fun thrown in! Apple MacBook and tools €200 Home Office budget

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You'll own deals in the upper SMB segment from day one, while building towards mid-market responsibility within 12 months.

This role is designed for a Senior AE who thrives in high-ownership environments: someone who can generate pipeline when inbound is insufficient, manage complex sales cycles (including multi-product deals, RFPs and tenders), and contribute to a predictable, high-quality revenue engine.

You will be a key pillar in ensuring business continuity and future segment coverage as the team scales.

In this role, you'll:

• Own and drive a high-quality sales pipeline from qualification to close.
• Run full-cycle sales processes including discovery, demos, validation, proposal, negotiation, and closing , with a strong focus on deal progression and win-rate.
• Actively build and maintain your own pipeline through outbound prospecting when inbound lead flow is insufficient.
• Lead complex sales cycles, including multi-stakeholder buying committees, procurement, legal negotiations, and RFPs/tenders.
• Sell the full Tellent offering (Tellent Recruitee, TellentHR, and add-ons), tailoring solutions to customer needs and business context.
• Maintain strong CRM discipline, forecast accuracy, and deal hygiene in line with team standards.
• Collaborate closely with Sales Leadership, Marketing, Product Marketing, Legal, and Partners to win competitive deals.
• Share structured feedback and market insights to continuously improve positioning, product, and go-to-market execution.

You'll bring to the team:

• Solid experience in full-cycle B2B SaaS/Software sales.
• Proven success selling into SMB and/or mid-market organizations.
• Proven ability to be successful in both inbound and outbound deal conversion.
• A structured, disciplined approach to sales, with strong qualification, deal management, and forecasting skills.
• Ability to sell value-based into a broader customer audience, multi-product solutions and tailor messaging to different customer needs.
• Experience at a scale-up or in a fast-moving environment.
• Ambition to grow into broader segment ownership and increased deal complexity over time.

What we offer:

• Flexibility to work from home in the Netherlands and from our beautiful canal-side office in Amsterdam.
• A chance to be part of and shape one of the most ambitious scale-ups in Europe.
• Work in a diverse and multicultural team.
• €1,500 annual training budget plus internal training.
• Pension plan, travel reimbursement, and wellness perks.
• 28 paid holiday days + 2 additional days to relax in 2026.
• Work from anywhere for 4 weeks/year.
• An inclusive and international work environment with a whole lot of fun thrown in!
• Apple MacBook and tools.
• €200 Home Office budget.

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We're building an enterprise-grade Infrastructure Operations Platform named VOPs to support the facilitation of most complex IT infrastructure operations for all IT teams at Bayer globally. Your responsibilities will include:

Planning and Design: Join the team responsible for planning and running our VOPs platform. Leadership: Mentor a team of engineers, providing guidance and support in the implementation of cloud solutions. Collaboration with Stakeholders: Work closely with Squad Leads and other stakeholders to understand requirements and align integration strategies with business goals. Technical Oversight: Ensure that solutions are scalable, reliable, maintainable, and secure, adhering to best practices in IT architecture and in-line with Bayer's strategy. Documentation and Standards: Create, maintain, and review comprehensive documentation for processes, standards, and best practices. Intercultural Communication: Foster an environment of open communication and collaboration among diverse teams across different geographical locations.

Our requirements include: Degree in Computer Science, Information Technology, or related field, or equivalent practical experience as an IT engineer. At least 6 years of experience in Azure (other clouds will be a plus). Proficiency in IT Architecture & design, specifically in infrastructure automation, provisioning, and maintenance. Strong analytical skills with the ability to troubleshoot and resolve technical issues effectively, even under pressure. Familiarity with IaC (e.g., Terraform) and strong proficiency in Python. Linux command line tools and shell scripting. Experience with building IT systems in regulated environments. Integration and Automation Expertise: Knowledge of CI/CD processes and experience in building and deploying integration solutions (Azure DevOps, GitHub Repos, and GitHub Actions). Excellent verbal and written communication skills, with the ability to present complex technical information to non-technical stakeholders. Experience with API management and/or design will be appreciated. Intercultural Competence: Ability to work collaboratively in a multicultural environment, respecting diverse perspectives and fostering teamwork, establishing and maintaining a robust professional network. Language Proficiency: Fluent in English, both spoken and written.

What we offer includes: A flexible, hybrid work model. Great workplace in a new modern office in Warsaw. Career development, 360° Feedback & Mentoring programme. Wide access to professional development tools, trainings, & conferences. Company Bonus & Reward Structure. VIP Medical Care Package (including Dental & Mental health). Holiday allowance ('Wczasy pod gruszą'). Life & Travel Insurance. Pension plan. Co-financed sport card. FitProfit. Meals Subsidy in Office. Additional days off. Budget for Home Office Setup & Maintenance. Access to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5, and Xbox Series X consoles setup with premium game passes, and massage chairs. Tailored-made support in relocation to Warsaw when needed.

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You will be responsible for identifying and reaching out to vacation rental owners, managing the full sales cycle from prospecting to closing, building strong relationships with local hosts, and driving revenue growth by consistently achieving targets.

You will also travel across your focus area to gain market insights and expand our presence, organize and participate in local events to promote Holidu and build a community of hosts, and collaborate closely with the Milan team and share best practices with international colleagues.

In addition, you will regularly connect with the team by spending one working week per quarter in Milan (with accommodation covered), combining remote flexibility with in-person collaboration.

We are open to different levels of seniority , from people at the beginning of their career looking to grow in sales, to experienced professionals with a strong commercial mindset and local market knowledge.

By applying, you’ll be considered in advance for upcoming roles in the region. We regularly review applications and may reach out proactively if your profile aligns with our future hiring needs.

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You'll work with modern tooling, a cross-functional team, and teammates who care deeply about impact, collaboration, and learning together.

As a Senior Software Engineer - Revenue Management, you'll be the engineering backbone that enables our Data Scientists to move from experimentation to production. You bridge the gap between data science models and reliable, scalable production systems.

Your key responsibilities will include:

• Supporting model deployment and serving: help deploy pricing and demand models into production, building and maintaining APIs and serving infrastructure.

• Building and operating production pipelines: ensure data flows reliably from source to model to output, with proper monitoring and alerting.

• Collaborating cross-functionally: work closely with Data Scientists, Analysts, and Engineering teams to turn prototypes into production-ready solutions.

• Owning infrastructure and tooling: set up and maintain the environments, CI/CD pipelines, and infrastructure that the team depends on.

• Ensuring operational excellence by implementing monitoring, automated testing, and observability across the team's production systems.

• Migrating and productionizing POC: turn experimental code into robust, maintainable Python applications.

• Ensuring data quality, consistency, and documentation across revenue management metrics and datasets.

You don't need to meet every requirement , we're looking for strong fundamentals, ownership, and the motivation to grow.

• 4+ years of experience in Software Engineering, Data Engineering, DevOps, or MLOps.

• Strong hands-on skills in Python , you write clean, production-quality code.

• Experience with CI/CD, Docker, and infrastructure-as-code (e.g., Terraform).

• Familiarity with cloud platforms (AWS preferred) and deploying services in production.

• Exposure to or interest in ML model deployment (MLflow, SageMaker, or similar) is a strong plus.

• Desire to learn and use cutting-edge LLM tools and agents to improve your and the entire team's productivity.

• A proactive, hands-on mindset: you take ownership, spot problems, and drive solutions forward.

Impact: Shape the future of travel with products used by millions of guests and thousands of hosts. At Holidu ideas become products, data drives decisions, and iteration fuels fast learning. Your work matters - and you’ll see the impact.

Learning: Grow professionally in a culture that thrives on curiosity and feedback. You’ll learn from outstanding colleagues, collaborate across disciplines, and benefit from mentorship, and personal learning budgets - with a strong focus on AI.

Great People: Join a team of smart, motivated and international colleagues who challenge and support each other. We celebrate wins and keep our culture fun, ambitious and human. Our customers are guests and hosts - people we can all relate to - making work meaningful and energizing.

Technology: Work in a modern tech environment. You’ll experience the pace of a scale-up combined with the stability of a proven business model, enabling you to build, test, and improve continuously.

Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations. You’ll stay connected through regular events and meet-ups across our almost 30 offices.

Perks on Top: Of course, we also offer travel benefits, gym discounts, and other perks to keep you energized - but what truly sets us apart is the chance to grow in a dynamic industry, alongside amazing people, while having fun along the way.

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As a Senior DataOps Engineer / Software Engineer, you'll be the engineering backbone that enables our Data Scientists to move from experimentation to production. You'll bridge the gap between data science models and reliable, scalable production systems.

Key responsibilities include:

• Supporting model deployment and serving: help deploy pricing and demand models into production, building and maintaining APIs and serving infrastructure.
• Building and operating production pipelines: ensure data flows reliably from source to model to output, with proper monitoring and alerting.
• Collaborating cross-functionally: work closely with Data Scientists, Analysts, and Engineering teams to turn prototypes into production-ready solutions.
• Owning infrastructure and tooling: set up and maintain the environments, CI/CD pipelines, and infrastructure that the team depends on.
• Ensuring operational excellence by implementing monitoring, automated testing, and observability across the team's production systems.
• Migrating and productionizing POC: turn experimental code into robust, maintainable Python applications.
• Ensuring data quality, consistency, and documentation across revenue management metrics and datasets.

We're looking for someone with 4+ years of experience in Software Engineering, Data Engineering, DevOps, or MLOps. You should have strong hands-on skills in Python, experience with CI/CD, Docker, and infrastructure-as-code (e.g., Terraform), familiarity with cloud platforms (AWS preferred), and deploying services in production. Exposure to or interest in ML model deployment (MLflow, SageMaker, or similar) is a strong plus.

Our team is passionate about using cutting-edge LLM tools and agents to improve productivity. We're looking for someone who is proactive, hands-on, and takes ownership of problems and drives solutions forward.

Benefits include:

• Impact: Shape the future of travel with products used by millions of guests and thousands of hosts.
• Learning: Grow professionally in a culture that thrives on curiosity and feedback.
• Great People: Join a team of smart, motivated, and international colleagues who challenge and support each other.
• Technology: Work in a modern tech environment with a pace of a scale-up combined with the stability of a proven business model.
• Flexibility: Work a hybrid setup with 50% in-office time for collaboration, and spend up to 8 weeks a year from other inspiring locations.
• Perks on Top: Travel benefits, gym discounts, and other perks to keep you energized.

If you're interested in joining our team, apply online on our careers page! Your first travel contact will be Katharina from HR.

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As our Head, US Global Payments Solutions Commercial Cards Operations, you will:

Optimise end-to-end Commercial Card operations, including onboarding, account builds, lifecycle management, billing, disputes, settlement, fraud, and program servicing. Provide executive oversight of the TSYS and FISERV platforms. Provide oversight of the Mastercard and Visa networks, as related to operational and monitoring activities supported in the team. Work directly with Commercial Card related Vendors and 3rd parties as necessary to support activities, research, issue resolution: FIS (TSYS), Idemia, Mastercard, Visa. Ensure operational readiness for product enhancements and platform changes, including UAT (User Acceptance Testing) coordination and validation. Establish strong risk and control frameworks aligned with regulatory and network requirements. Drive service excellence and support complex commercial client programs. Lead operational transformation initiatives, automation efforts, and platform enhancements. Manage senior stakeholders across Product, Technology, Client Management, and other internal departments. Lead and develop onshore and offshore operational teams; drive performance through Key Performance Indicators, Objectives and Key Results, and Service Level Agreements.

You'll likely have the following qualifications to succeed in this role:

Extensive experience in Commercial Cards within a regulated financial institution. Deep experience with TSYS or comparable card processing platforms. Deep knowledge of corporate card products such as purchasing cards, small business revolving, virtual cards, CTA (Central Travel Account) accounts, corporate world elite, one cards, etc. Strong understanding of card network rules, disputes/chargebacks, and fraud processes. Strong knowledge of billing structures, rebate programs, reconciliation within cards portfolio. Proven experience leading teams onshore and offshore, managing operational risk. Demonstrated ability to drive transformation and scale operations.

As an HSBC employee, you will have access to tailored professional development opportunities to ensure you have the right skills for today and tomorrow. We offer a competitive pay and benefits package including a robust Wellness Hub, all in a welcoming and inclusive work environment. You will be empowered to drive HSBC's engagement with the communities we serve through an industry-leading volunteerism policy, a generous matching gift program, and a comprehensive program of immersive Sustainability and Climate Change Initiatives. You'll want to join our Employee Resource Groups as they play a central part in life at HSBC, including the development of our employees and networking inside and outside of HSBC.

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Key Responsibilities:

• Drive digital transformation by leading digitalisation and automation initiatives to streamline business processes and enhance operational efficiency
• Enhance pricing infrastructure by developing and optimising pricing tools and systems, ensuring robust and scalable solutions for both indicative and live pricing of structured transactions
• Innovate products by designing and launching new structured products, including Structured Solutions, Risk Recycling, and Quantitative Investment Strategies (QIS)
• Deliver client solutions by partnering with sales and structuring teams to assess client needs and provide bespoke solutions aligned with their objectives
• Generate market analysis by creating thematic investment ideas based on evolving market conditions and trends
• Prepare pitchbooks by creating compelling marketing materials to promote proprietary indices and structured products
• Manage secondary market activities by overseeing secondary market pricing, including add-ons and unwind transactions
• Collaborate cross-functionally by working with traders and quantitative analysts to enhance pricing and back-testing infrastructure (Python and VBA)
• Provide business insight by delivering analytics and reporting to support business decision-making and strategic planning

Your Qualifications:

• Market Knowledge: Strong understanding of equity derivative fundamentals
• Analytical Excellence: Exceptional analytical, problem-solving, and decision-making skills
• Communication Skills: Outstanding verbal and written communication abilities, with a talent for explaining complex concepts clearly
• Agility Under Pressure: Ability to manage multiple priorities and perform effectively in a fast-paced, high-pressure environment
• Technical Proficiency: Experience with Python and Excel/VBA is highly desirable

As an HSBC employee, you will have access to tailored professional development opportunities to ensure you have the right skills for today and tomorrow. We offer a competitive pay and benefits package including a robust Wellness Hub, all in a welcoming and inclusive work environment.

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Our core work consists of creating custom AI applications that will impact millions of citizens, generating high-quality training data for custom LLMs, and upskilling and advisory services to spread the impact of AI.

You will serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation.

Architect the fundamental frameworks for production-grade AI applications, setting the gold standard for how interactive UIs, backend systems, and AI models are integrated at scale to deliver reliable outcomes.

Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across all environments.

Direct the development of core platforms and shared services, ensuring they solve cross-cutting needs for diverse global client use cases.

Partner with cross-functional leadership to steer the technical roadmap, mentoring senior and junior staff and ensuring all products align with a cohesive, future-proof technical architecture.

Bridge the gap between the field and the core platform by turning real-world client lessons into the reusable patterns that power the entire engineering team.

Ideally, you'd have a Master's or PhD in Computer Science or equivalent deep industry experience in architecting complex, distributed systems.

10+ years of full-stack expertise across Python, Node.js, and React, with a proven track record of designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP).

Expert ability to design and oversee production-grade ecosystems, ensuring world-class standards for system integrity, security, and long-term scalability.

Extensive experience deploying and troubleshooting sophisticated end-to-end solutions directly within complex, high-security client environments.

A self-driven leader capable of resolving extreme ambiguity, mentoring senior staff, and setting the technical vision for the organization.

A driver of asynchronous workflows and documentation-first cultures to streamline global engineering velocity and reduce friction.

Proficient in Arabic.

Nice to haves include past experience working at a startup as a CTO or founding engineer or in a forward deployed engineer / dedicated customer engineer role, experience working cross functionally with operations, and a proven track record of building LLM-driven solutions with the strategic foresight to anticipate landscape shifts and architect future-proof systems.

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As a hands-on contributor to the core systems that ensure the safety, reliability, and continuous improvement of LLM-powered workflows and agents for the enterprise, you will partner with Scale's Operations team and enterprise customers to translate ambiguity into structured evaluation data. This involves guiding the creation and maintenance of gold-standard human-rated datasets and expert rubrics that anchor AI evaluation systems.

Your responsibilities will also include analysing feedback and collected data to identify patterns, refine evaluation frameworks, and establish iterative improvement loops that enhance the quality and relevance of human-curated assessments. You will design, research, and develop LLM-as-a-Judge autorater frameworks and AI-assisted evaluation systems, including creating models that critique, grade, and explain agent outputs.

To succeed in this role, you will need a strong foundational knowledge of large language models, a passion for tackling complex evaluation challenges, and the ability to thrive in a dynamic, fast-paced research environment. You should be able to think outside the box, stay current with the latest literature in AI evaluation, and be passionate about integrating novel research ideas into our workflows to build best-in-class evaluation systems.

In addition to your technical expertise, you will need excellent communication and collaboration skills, as you will work closely with cross-functional teams to drive project success.

If you are a motivated and detail-oriented individual with a passion for AI research and evaluation, we encourage you to apply for this exciting opportunity.

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This is a 0→1 build team. We’re looking for a sharp, product-minded Senior Engineer who thrives in ambiguity, moves quickly, and enjoys building new systems from scratch alongside customers and cross-functional partners. You’ll work closely with product, forward-deployed engineers, data scientists, and applied AI teams to turn real-world problems into scalable, production solutions.

If you like shipping fast, owning outcomes, and working across the stack,from polished frontends to distributed backends to LLM integrations,this role is for you.

Responsibilities

• Own major full-stack product areas, driving features from concept and design through production deployment
• Build intuitive, high-performance frontend experiences using React + TypeScript
• Develop reliable backend services in Python, working with distributed systems, data pipelines, and AI/ML infrastructure
• Integrate LLMs, vector databases, and agentic frameworks to power intelligent workflows and decision-making systems
• Ship quickly through tight experimentation loops while maintaining high quality and reliability
• Help define the technical direction and architecture of a brand-new team and product surface
• Adapt across the stack and learn new tools as needed to solve real problems end-to-end

Ideal Experience

• 5+ years of full-time software engineering experience
• 0-1 product build experience
• Familiarity with LLMs, embeddings, vector databases, or modern AI data products/tools
• Experience with distributed systems and cloud-based architectures
• Prior experience mentoring or leading team

What We Value

• Strong product intuition and customer empathy
• Bias toward action and rapid iteration
• Ownership mentality , you see problems through to outcomes
• Comfort collaborating across engineering, product, data science, and applied AI
• Excitement about building agentic systems that make AI genuinely useful in the real world

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As an ML Engineer, you will design, implement, and scale automated evaluation pipelines that help customers trust and operationalize advanced AI systems across defense, intelligence, and federal missions.

Key responsibilities include:

• Developing and maintaining automated evaluation pipelines for ML models across functional, performance, robustness, and safety metrics, including LLM-judge–based evaluations.

• Designing test datasets and benchmarks to measure generalization, bias, explainability, and failure modes.

• Building evaluation frameworks for LLM agents, including infrastructure for scenario-based and environment-based testing.

• Conducting comparative analyses of model architectures, training procedures, and evaluation outcomes.

• Implementing tools for continuous monitoring, regression testing, and quality assurance for ML systems.

• Designing and executing stress tests and red-teaming workflows to uncover vulnerabilities and edge cases.

• Collaborating with operations teams and subject matter experts to produce high-quality evaluation datasets.

This role requires an active security clearance or the ability to obtain a security clearance.

Ideal candidates will have experience in computer vision, deep learning, reinforcement learning, or NLP in production settings, strong programming skills in Python, and background in algorithms, data structures, and object-oriented programming.

Nice to have qualifications include graduate degree in CS, ML, or AI, cloud experience (AWS, GCP), and model deployment experience.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant.

You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

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This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world-class delivery, and bring insights back to our product and research teams on a regular basis.

You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organisational complexity that comes with deploying AI agents in enterprise environments.

Responsibilities:

• Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.

• Lead technical discovery: map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.

• Run day-to-day engineering execution and delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.

• Own product scoping for field engagements: define the MVP, author requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve.

• Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.

• Own value measurement and ROI: define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.

• Codify reusable solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.

• Navigate enterprise and regulatory complexity: security reviews, legal approvals, procurement processes, compliance requirements, and organisational dynamics.

• Manage scope and change: handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.

• Run delivery operations: sprint ceremonies, milestone reviews, and progress reporting.

• Travel to customer sites to build relationships, unblock delivery, and accelerate adoption (25–50% expected).

You May Be a Good Fit If You:

• Have 5+ years of customer-facing technical delivery leadership , this could be technical engagement management, technical program management, or technical product management, founders/startups, technical-adjacent backgrounds, professional services, consulting, or enterprise software.

• Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.

• Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.

• Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making, ideally across multiple workstreams in regulated industries.

• Have executive presence , polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.

• Thrive in ambiguity and bring structure where none exists.

• Have a builder's mindset , you're here to create a function, not join one.

Strong Candidates May Also Have:

• Experience in financial services, healthcare/life sciences, or pharmaceutical verticals.

• Background at a Forward Deployed Engineering company or professional services and consulting firms.

• Exceptional understanding of LLM capabilities and limitations.

• Experience with regulated industries and compliance requirements.

• Experience managing delivery teams with embedded engineers at customer sites.

• Familiarity with AI agent frameworks, tool use patterns, and orchestration architectures.

Annual compensation range for this role is €190,000-€215,000 EUR.

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Key responsibilities include: Managing customer relationships from the executive to the end user Working alongside customers to scope agentic workflow use cases that Scale's engineering team will build and refine Leading a cross-functional project team to deliver on and exceed the customer's AI/ML objectives Overseeing onboarding and successful implementation of customer accounts

Must haves: Active TS/SCI clearance 5+ years of work experience succeeding in stakeholder management or a customer-facing role delivering enterprise-scale applications/solutions A track record of structured, analytics-driven problem solving Excellent verbal and written communication skills Willingness to be onsite with the customer in the Colorado Springs area 4 days per week and able to travel at least 25% of the time

Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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In this role, you will manage internal and external stakeholders to bring clarity to our compute technology roadmaps, help prioritise across technical and non-technical teams, and focus on securing and delivering compute capacity.

As a key member of our team, you will work closely with engineering, finance, and partnership teams to drive execution of technical roadmaps, support deal structuring, and manage the operational aspects of our compute partnerships.

This role combines technical program management with elements of strategic operations, partnership development, and financial analysis.

Responsibilities:

• Drive cross-functional coordination across Engineering, Finance, and external partners to define, scope, and deliver on compute partnership initiatives

• Develop and maintain detailed project plans, timelines, and status reporting for technical programs related to compute infrastructure and partnerships

• Partner with engineering leaders to translate technical requirements into actionable roadmaps and track execution against milestones

• Support the structuring and negotiation of strategic compute deals, including financial modelling, term analysis, and vendor evaluation

• Build and maintain relationships with key stakeholders at cloud providers and infrastructure partners

• Develop and manage systems, processes, and documentation to support program management efficiency and stakeholder visibility

• Analyse financial and operational data to inform decision-making on compute capacity planning and vendor strategy

• Provide clear and transparent reporting on program status, issues, and risks to leadership

You might be a good fit if you have:

• 8-10 years of experience in technical product/program management, business development, or strategic partnerships roles at technology companies

• Experience structuring and negotiating strategic customer deals or partnerships within the technology space (cloud services, semiconductors, data centre/infrastructure)

• Background in cloud computing, data centre infrastructure, compute/silicon development, or technology-focused investment banking or consulting

• Familiarity with data centre infrastructure, compute hardware, and/or silicon development cycles

• Comfort with financial analysis and modelling; experience with vendor financing arrangements is a plus

• Strong interpersonal and communication skills with the ability to influence and align diverse stakeholders

• Ability to drive clarity in ambiguous environments and manage competing priorities with high-quality execution

• A track record of managing cross-functional initiatives in fast-paced, scaling technology environments

• A passion for Anthropic's mission and ensuring safe AI development

Strong candidates may also have:

• Experience managing external partnerships with large-scale cloud providers or hardware vendors

• Understanding of AI/ML infrastructure requirements and compute capacity planning

• Experience with vendor financing, equipment leasing, or infrastructure investment analysis

• Background in technical due diligence or technology M&A

The annual compensation range for this role is $250,000-$310,000 USD.

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You'll drive the adoption of safe, frontier AI by securing strategic deals with CPG brands. You'll leverage your consultative sales expertise in the CPG sector to propel revenue growth while becoming a trusted partner to CPG stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities in brand management, supply chain, and category planning.

In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with CPG decision-makers.

The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI.

Responsibilities:

• Win new business and drive revenue for Anthropic within the CPG sector. Navigate complex CPG organisations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close
• Design and execute innovative sales strategies tailored to CPG procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze CPG market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns
• Spearhead market expansion by identifying new use cases within brand teams, supply chain functions, and commercial operations. Collaborate cross-functionally to differentiate our offerings for CPG applications
• Navigate complex CPG stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus
• Inform product roadmaps and features by gathering feedback from users and conveying CPG market needs. Provide insights that strengthen our value proposition for CPG
• Continuously refine the CPG sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency

Requirements:

• 8+ years of B2B sales experience in SaaS, API solutions, or emerging technologies
• A track record of managing complex sales cycles within CPG organisations and securing strategic deals by understanding both technical requirements and CPG use cases
• Demonstrated ability to navigate CPG organisational structures and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments
• Extensive experience negotiating complex agreements within CPG procurement frameworks and policies
• Proven experience exceeding revenue targets by effectively managing an evolving pipeline and sales process
• Excellent communication skills and the ability to present confidently to various CPG audiences, from brand managers and category leads to senior executives
• Deep understanding of CPG buying cycles, decision-making processes, and key pain points
• A strategic, analytical approach to assessing the CPG market combined with creative, tactical execution to capture opportunities
• A passion for and/or experience with advanced AI systems and their applications. You feel strongly about ensuring frontier AI systems are developed safely and ethically for CPG use

Benefits:

• Annual Salary: £280,000-£330,000 GBP
• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space in which to collaborate with colleagues

How to Apply:

If you're interested in this opportunity, please submit your application through our website. We look forward to hearing from you!

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You will be a catalyst, willing to go deep, get technical, and drive change. You will manage customer relationships and partners as well as partner with our engineering team to solve Scale’s hardest problems.

All of this serves an ultimate goal of delivering cutting-edge agentic AI to orchestrate portfolio management for defense of the homeland.

Key responsibilities include:

• Driving innovation and transformation by diving deep into technical and operational challenges, solving undefined problems, and delivering impactful agentic AI solutions

• Transitioning AI/ML technologies and processes into working products / solutions even when requirements are undefined or ambiguous

• Partnering with Scale engineering, operations, and other public sector teams to build and deliver AI systems tailored to unique government use cases in the computer vision and generative AI domains

• Leading a cross-functional team to exceed the customer’s AI/ML objectives

• Supporting and partnering across B2B and B2G organisations to achieve the outcomes in delivering the greater layered defense for the United States

We have a diverse team with a variety of skill sets, many have:

• 5+ years of professional experience, often in a customer-facing technical program management role in industry or government.

• A proven track record in B2B or government client-facing roles and expanding client relationships

• Prior experience leading engagements with government customers

Must-haves include:

• An active TS/SCI clearance

• Minimum of 3 years of work experience leading teams / programs in industry or government

• A basic understanding of ML operations process

• A track record of structured, analytics-driven problem-solving

• Excellent verbal and written communication skills

• Willingness to travel at least 25% of the time

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

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At Scale AI, our mission is to accelerate the development of AI applications.

As a Forward Deployed Engineer, you'll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI.

Responsibilities:

• Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies.

• Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions.

• End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure.

• Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation.

• Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product.

• Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap.

Requirements:

• At least 2 years of relevant experience is preferred

• Proven track record of shipping high-quality products and features at scale.

• Strong problem-solving skills and the ability to work independently or as part of a collaborative team.

• Desire to thrive in a fast-paced, dynamic environment.

• Ability to turn business and product ideas into engineering solutions.

• Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.

• Ability to adapt quickly to the ever-changing world of generative AI.

• Excited to join a dynamic, hybrid team in either San Francisco or New York City.

Benefits:

• Comprehensive health, dental and vision coverage

• Retirement benefits

• A learning and development stipend

• Generous PTO

• Commuter stipend

Salary Range:

$179,400-$224,250 USD

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You'll serve as a cross-organizational thought leader - setting standards for technical excellence, mentoring senior engineers, and ensuring our systems and models meet the demands of global-scale deployment. This is a rare opportunity to influence both foundational AI infrastructure and the enterprise AI applications built on top of it.

Responsibilities:

• Define and drive the technical strategy for Scale's AI/ML infrastructure and SGP platform, balancing short and long-term investments.
• Partner with senior engineering and product leadership to ensure scalable, secure, and performant enterprise AI systems.
• Lead architecture and design reviews across multiple teams, ensuring technical consistency and innovation.
• Serve as a trusted advisor and mentor to principal engineers and technical leads across the organization.
• Evaluate and integrate emerging technologies in AI, distributed systems, and data infrastructure to keep Scale at the frontier of innovation.
• Represent Scale externally in the AI community - through speaking engagements, partnerships, and thought leadership.
• Drive technical execution and accountability for critical cross-functional initiatives that advance Scale's enterprise AI capabilities.

Qualifications:

• 15+ years of experience as a technical software engineering leader.
• Proven record of technical leadership at AI-native companies, hyperscalers, or equivalent high-scale environments.
• Deep technical expertise in AI/ML infrastructure, knowledge of ML models/algorithm design/implementation and their application to real-world problems; experience with GenAI preferred.
• Demonstrated success in setting technical vision and leading cross-organizational initiatives with measurable business impact.
• Experience influencing and mentoring engineering teams in complex, matrixed environments.
• Ability to communicate and collaborate effectively to create a shared sense of vision or purpose cross-team and cross-functionality.
• Advanced degree in Computer Science, Engineering, or related field preferred but not required.

Culture & Impact:

At Scale, we believe that AI should amplify human potential - and our engineering culture reflects that belief. Our teams operate at the intersection of innovation, rigor, and impact, solving some of the hardest problems in AI infrastructure and deployment.

The Distinguished Engineer will play a key role in shaping how AI systems are built, deployed, and governed within enterprise environments. This role represents the highest bar of technical excellence at Scale - a trusted voice in setting direction, enabling innovation, and ensuring that our technology scales responsibly and effectively to meet the evolving needs of our customers.

You’ll have the opportunity to influence company-wide strategy, contribute to industry-leading work in generative AI infrastructure, and mentor the next generation of engineering talent pushing the boundaries of what’s possible with AI.

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The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Strong candidates may also have experience with:

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP)
• Python or Rust

You may be a good fit if you:

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Representative projects across the org:

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Deadline to apply: None. Applications will be reviewed on a rolling basis.

The annual compensation range for this role is £225,000-£325,000 GBP.

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Key Responsibilities: Lead and mentor a high-performing engineering team of 50+, fostering a culture of technical excellence and ownership. Guide your team through complex challenges involving LLMs, AI agents, and large-scale distributed systems. Represent Scale AI in high-stakes negotiations and strategic discussions with senior external partners, demonstrating strong technical competence and credibility. Develop and communicate a compelling vision for Scale AI’s technology applied to your program. Provide regular updates to senior leadership and key stakeholders on progress, risks, and opportunities. Foster a culture of speed, unity of purpose, resilience, and teamwork.

Requirements: 10+ years of software engineering experience, including 5+ years in a technical leadership or staff role. Deep understanding of modern AI/ML technologies, including experience working with LLMs and AI agents. Proficient in one or more modern programming languages (Python, JavaScript/TypeScript). Hands-on experience with Kubernetes and cloud infrastructure (AWS, GCP, or Azure). Strong product and business sense, with a track record of aligning engineering efforts with company goals. Ability to operate effectively in ambiguous, fast-changing environments and guide your team to do the same. Experience in executive level engagement with industry partners and Public Sector customers

Success Metrics: Within 6 months: Successful demonstration of agentic AI’s mission value in high-stakes customer demonstrations Establish Scale AI as the preferred agentic AI partner for the PEO Establish high velocity, agile engineering cadence both internally and with our industry partners

Within 12–18 months: Secure follow-on contract award with expanded scope for Scale Position Scale AI as the global AI leader in this mission area Establish developed solutions as Scale product offerings to deliver on future contracts

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment.

As a Staff Software Engineer, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration, data abstraction, data pipelines, identity & access management, and underlying cloud infrastructure.

Impact and Responsibilities:

• Architectural Vision: You will drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals.

• Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure.

• Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle.

• Technical Mentorship: You will serve as a subject matter expert, presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company.

Ideally you’d have:

• 8+ years of full-time engineering experience, post-graduation with specialities in back-end systems.

• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).

• Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects.

• Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.

• Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc.

• Experience with orchestration platforms, such as Temporal and AWS Step Functions.

• Experience with NoSQL document databases (MongoDB) and structured databases (Postgres).

• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, ArgoCD).

Nice to haves:

• Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt).

• Experience scaling products at hyper-growth startups.

• Excitement to work with AI technologies.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $252,000-$315,000 USD

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Your responsibilities will include:

• Building and enhancing user-facing AI applications for major enterprise customers, including high-profile media and Fortune 500 companies
• Developing and refining features for Scale's GenAI Platform, empowering businesses to build, deploy, and manage AI-driven agents
• Designing, building, and optimizing polished, high-performance UIs using Next.js, React, TypeScript, and Tailwind
• Working closely with product managers, designers, and AI/ML teams to create seamless, intuitive, and impactful user experiences
• Integrating frontend applications with backend services, working with APIs, authentication systems, and cloud-based infrastructure

In this role, you'll have the opportunity to shape the future of AI-powered user experiences, working on projects that impact millions of users while developing tools that empower businesses to deploy AI at scale.

The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $248,400,$310,500 USD. Compensation packages at Scale include base salary, equity, and benefits. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

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You will conduct in-depth code reviews, implement security best practices, and influence the overall security strategy. Your expertise in TypeScript, Python, Kubernetes, CI/CD, SAST, DAST, and terraform orchestration will be crucial in identifying and mitigating potential security vulnerabilities.

You will:

• Conduct in-depth code reviews to identify and remediate security vulnerabilities.
• Evaluate and enhance the security of our product offerings, through RFC and service review.
• Implement and maintain CI/CD pipelines with a strong focus on security.
• Perform Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) to identify vulnerabilities in production code.
• Utilize terraform orchestration to ensure secure and efficient infrastructure management.
• Guide engineering teams to build robust long-term solutions that consider security and privacy.
• Clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact.
• Influence the security strategy and direction of the team, advocating for best practices and continuous improvement.

Ideally, you’d have:

• Proven experience as a Security Engineer with a focus on product security.
• Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes.
• Strong understanding of modern Javascript application design.
• Production experience with Kubernetes backed services
• Hands-on experience with SAST and DAST tools and methodologies.
• Familiarity with terraform orchestration for infrastructure management.
• You can structure complex problems and diagnose root causes independently, providing actionable insights without requiring manager input.
• Excellent communication skills, with the ability to clearly present technical concepts and their implications to both technical and non-technical stakeholders.
• Demonstrated ability to influence security strategies and drive improvements within a team.
• Relevant security certifications (e.g., CISSP, CEH, OSCP) are a plus.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of Washington DC/Hawaii is: $205,700-$257,400 USD

The base salary range for this full-time position in the location of St. Louis/Suffolk is: $171,600-$214,500 USD

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We're building the infrastructure that lets people talk to Claude,real-time, bidirectional voice conversations that feel natural, responsive, and safe. This is foundational work for how millions of people will interact with AI.

The Voice Platform team designs and operates the serving systems, streaming pipelines, and APIs that bring Anthropic's audio models from research into production across Claude.ai, our mobile apps, and the Anthropic API. You'll work at the intersection of real-time media, low-latency inference, and distributed systems,building infrastructure where every millisecond of latency is felt by the user.

We partner closely with the Audio research team, who train the speech understanding and generation models, and with product teams shipping voice experiences to users. Your job is to make those models fast, reliable, and delightful to talk to at scale.

Responsibilities

• Design and build the real-time streaming infrastructure that powers voice conversations with Claude,ingesting microphone audio, orchestrating model inference, and streaming synthesized speech back with minimal latency

• Build low-latency serving systems for speech models, optimizing time-to-first-audio and end-to-end conversational responsiveness

• Develop the public and internal APIs that expose voice capabilities to Claude.ai, mobile clients, and third-party developers

• Own the audio transport layer,codecs, jitter buffers, adaptive bitrate, packet loss recovery,so conversations stay smooth across unreliable networks

• Build observability and quality-measurement systems for voice: latency distributions, audio quality metrics, interruption handling, and turn-taking accuracy

• Partner with Audio research to move new model architectures from experiment to production, and feed real-world performance data back into research

• Collaborate with mobile and product engineering on client-side audio capture, playback, and the end-to-end user experience

You may be a good fit if you

• Have 6+ years of experience building distributed systems, real-time infrastructure, or platform services at scale

• Have shipped production systems where latency is measured in tens of milliseconds and users notice when you miss

• Are comfortable working across the stack,from transport protocols and serving infrastructure up to the APIs product teams build on

• Are results-oriented, with a bias toward flexibility and impact

• Pick up slack, even if it goes outside your job description

• Enjoy pair programming (we love to pair!)

• Care about the societal impacts of voice AI and want to help shape how these systems are developed responsibly

• Are comfortable with ambiguity,voice is a fast-moving space, and you'll help define the architecture as we learn what works

Strong candidates may also have experience with

• Real-time media protocols and stacks: WebRTC, RTP, gRPC bidirectional streaming, or WebSockets at scale

• Audio engineering fundamentals: codecs (Opus, AAC), voice activity detection, echo cancellation, jitter buffering, or audio DSP

• Low-latency ML inference serving, streaming model outputs, or GPU-based serving infrastructure

• Telephony, live streaming, video conferencing, or voice assistant platforms

• Mobile audio pipelines on iOS (AVAudioEngine, AudioUnits) or Android (Oboe, AAudio)

• Working alongside ML researchers to productionize models,speech experience is a plus but not required

Representative projects

• Driving time-to-first-audio below human perceptual thresholds by co-designing the serving pipeline with the Audio research team

• Building a streaming inference orchestrator that interleaves speech recognition, LLM reasoning, and speech synthesis with overlapping execution

• Designing the voice mode API surface for the Anthropic API so developers can build their own voice agents on Claude

• Implementing graceful barge-in and interruption handling so users can cut Claude off mid-sentence naturally

• Instrumenting end-to-end audio quality metrics and building dashboards that catch regressions before users do

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You will lead the content and social strategy for Scale Labs' dedicated online presence, taking a research-native approach that earns attention and credibility from the AI community. You will build and maintain competitive intelligence and a sharp point of view on the data market, arming the team with differentiated positioning as the market evolves.

You will partner with Scale Labs researchers to amplify published work - leaderboards, benchmarks, and research papers - and translate it into pipeline and demand generation for the GenAI business. You will develop go-to-market strategies for new data offerings and modalities, working closely with product and sales to drive awareness and build market momentum.

You will collaborate cross-functionally with sales, engineering, and research to ensure consistent, compelling messaging across every customer touchpoint.

Ideally, you'd have 5+ years of experience in product marketing, with a track record of marketing technical products to developer or research audiences. You should have strong technical fluency and passion for AI, with the ability to hold a credible conversation about AI/ML fundamentals, training, and the role of data quality in model performance.

You should also have experience building social-native content and community strategies on platforms like X, with an instinct for what resonates with technical practitioners. You should have excellent written communication and storytelling skills, with the ability to make complex technical concepts compelling without oversimplifying them.

Nice to haves include familiarity with the AI training data market, or adjacent data and infrastructure spaces, as well as an existing network or relationships within the AI research community.

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This is not a traditional analytics role. On this team, data scientists do the core statistical and modeling work, but they also build real tools and products: evaluation explorers, operator workflows, decision-support systems, experimentation surfaces, and customer-specific AI/data applications that get used in production.

The right candidate is strong in first-principles problem solving, rigorous measurement, and technical execution. They know how to define metrics, design experiments, diagnose failures, and build systems that people actually use. They are also comfortable using modern AI-assisted development tools to prototype and iterate quickly without sacrificing reliability, observability, or judgment. Python and SQL matter in this role, but as execution fluency in service of building better products and making better decisions.

Responsibilities: Partner directly with enterprise customers to understand workflows, operational pain points, constraints, and success criteria Turn ambiguous business and product problems into measurable solutions with clear metrics, technical designs, and deployment plans Design and build internal and customer-facing data products, including evaluation tools, workflow applications, decision-support systems, and thin product layers on top of data/ML systems Build end-to-end solutions across data ingestion, transformation, experimentation, statistical modeling, deployment, monitoring, and iteration Design evaluation frameworks, benchmarks, and feedback loops for ML/LLM systems, human-in-the-loop workflows, and model-assisted operations Apply rigorous statistical thinking to experimentation, causal inference, metric design, forecasting, segmentation, diagnostics, and performance measurement Use AI-assisted development workflows to accelerate prototyping and product iteration, while maintaining strong engineering discipline Diagnose failure modes across data quality, model behavior, retrieval, workflow design, and user experience, and drive fixes into production Act as the voice of the customer to Product, Engineering, and Data Science, using field learnings to shape roadmap and platform capabilities

Requirements: 5+ years of experience in data science, machine learning, quantitative engineering, or another highly analytical technical role Proven track record of shipping data, ML, or AI systems that delivered measurable business or product impact Exceptional ability to structure ambiguous problems, define the right success metrics, and translate them into executable technical plans Strong foundation in statistics, experimentation, causal reasoning, and measurement Experience building tools or products, not just analyses , for example internal workflow tools, evaluation systems, operator-facing products, experimentation platforms, or customer-specific applications Hands-on fluency in Python, SQL, and modern data/AI tooling; able to inspect data, prototype quickly, debug deeply, and productionize solutions that work Comfort using AI-assisted coding and development workflows to move from idea to usable product quickly Strong communication and stakeholder management skills; able to work effectively with customers, engineers, product teams, and executives High ownership and bias toward shipping in fast-moving environments with incomplete information

Preferred qualifications: Experience in a forward deployed, solutions, consulting, or other client-facing technical role Experience designing evaluation frameworks for LLMs, retrieval systems, agentic workflows, or other AI-enabled products Experience with large-scale data processing and distributed systems such as Spark, Ray, or Airflow Experience with cloud infrastructure and modern data platforms such as AWS, GCP, Snowflake, or BigQuery Experience building lightweight applications, APIs, internal tools, or workflow software on top of data/ML systems Familiarity with marketplace experimentation, causal inference, forecasting, optimization, or advanced statistical modeling Strong product instinct and the judgment to know when the right answer is a model, an experiment, a tool, or a workflow redesign

What success looks like: Success in this role means taking a messy, high-stakes customer problem and turning it into a deployed system that is actually used. Sometimes that system is a model. Sometimes it is an evaluation framework. Sometimes it is an operator-facing tool or a lightweight data product that changes how decisions get made. In all cases, success is defined by measurable impact, rigorous evaluation, and reliable execution.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Salary Range: $167,200-$209,000 USD

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Key Responsibilities:

• Build, lead, and scale a team of 6-8 BDRs across EMEA markets including SEU, NEU, and DACH.
• Develop and execute region-specific prospecting strategies that account for local market dynamics, cultural nuances, and competitive landscapes across diverse European markets
• Support all sales segments (Startups, Commercial, Enterprise) with agility to shift resources based on regional opportunities
• Partner with regional AEs and sales leadership to align pipeline generation with territory plans and revenue targets
• Establish KPIs and tracking mechanisms that account for regional differences while maintaining global consistency
• Create localized training programs and enablement materials that resonate with diverse European business cultures
• Build and maintain relationships with regional marketing teams to optimize lead quality and campaign effectiveness
• Own regional Pipeline Reviews with sales leadership covering market-specific insights and growth opportunities
• Navigate complex hiring and employment regulations across multiple European countries, partnering with HR and Legal
• Coach and develop BDRs on region-specific prospecting techniques and career progression

Qualifications:

• 3-6 years of experience managing sales development or inside sales teams in EMEA
• Proven track record of growing and scaling teams across multiple European countries/offices
• Experience managing distributed teams across different time zones and cultures within EMEA
• Strong understanding of business practices, sales cycles, and decision-making processes in key EMEA markets
• Experience adapting global sales processes for European markets while maintaining consistency
• Strong analytical skills with ability to identify and act on regional market opportunities
• Experience with Salesforce and sales technology stack
• Excellent communication skills with ability to operate effectively across European cultures
• Bachelor's degree or equivalent work experience

Preferred Experience:

• Experience at US-headquartered technology companies expanding in EMEA
• Background in AI/ML, cloud infrastructure, or developer platforms
• Track record of building BDR/SDR functions from scratch in new European markets
• Experience managing both velocity (Startup/Commercial) and strategic (Enterprise) sales motions
• Fluency in German, French, Spanish or other major European languages
• Network of talent for BDR hiring across EMEA markets

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Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. You’ll also receive benefits including, but not limited to: comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $237,600-$297,000 USD. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado, Hawaii is: $213,400-$267,300 USD

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Your responsibilities will include:

• Owning and architecting large-scale data processing pipelines for robotics and autonomous vehicle datasets
• Building ML training and fine-tuning pipelines using Scale's robotics data
• Working across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions
• Developing tools and systems for robotics data collection, teleoperation, and model evaluation
• Interacting directly with robotics and AV stakeholders to understand their technical needs and drive product development
• Building real-time systems for robotic control, sensor fusion, and perception pipelines
• Designing comprehensive monitoring and evaluation frameworks for robotics models and data quality
• Collaborating with ML engineers and researchers to bring robotics research into production
• Delivering features at high velocity while maintaining system reliability and performance

Ideally, you have:

• 3+ years of software engineering experience in robotics, autonomous vehicles, or related fields
• Strong programming skills in Python and TypeScript/Node.js for production systems
• Experience with React and modern frontend development for 3D interfaces
• Practical experience with robotics frameworks (ROS/ROS2), simulation environments, or AV systems
• Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
• Experience with databases (MongoDB, PostgreSQL) and data processing at scale
• Track record of working with cross-functional teams including ML engineers, researchers, and customers
• Strong communication skills and ability to operate with high autonomy

Nice to have:

• Experience with C++
• Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization
• Background in computer vision, SLAM, motion planning, or imitation learning
• Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing
• Experience with ML model deployment and serving frameworks
• Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces
• Experience with workflow orchestration systems (Temporal, Airflow)
• Published research or open-source contributions in robotics or autonomous systems

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This is a hands-on technical role that combines deep engineering expertise with customer-facing problem solving. You'll work directly with customer engineering teams to integrate AI into their critical workflows.

Key Responsibilities

Customer Integration & Deployment

• Partner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements
• Design and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs)
• Build robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows
• Deploy and configure AI models and agents within customer security and compliance boundaries

AI Agent Development

• Develop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation
• Architect multi-agent systems that orchestrate between different models, tools, and data sources
• Implement evaluation frameworks to measure agent performance and iterate toward business objectives
• Design human-in-the-loop workflows and feedback mechanisms for continuous agent improvement

Prompt Engineering & Optimization

• Create sophisticated prompt engineering strategies optimized for customer-specific domains and data
• Build and maintain prompt libraries, templates, and best practices for customer use cases
• Conduct systematic prompt experimentation and A/B testing to improve model outputs
• Implement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate

Technical Leadership & Collaboration

• Serve as the primary technical point of contact for strategic enterprise accounts
• Collaborate with customer data scientists, ML engineers, and software developers to ensure smooth integration
• Provide technical training and knowledge transfer to customer teams
• Work closely with Scale's product and engineering teams to translate customer needs into product improvements
• Document technical architectures, integration patterns, and best practices

Problem Solving & Innovation

• Debug complex technical issues across the entire stack, from data pipelines to model outputs
• Rapidly prototype solutions to unblock customers and prove out new use cases
• Stay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems
• Identify opportunities for productization based on common customer patterns

Required Qualifications

• 4+ years of software engineering experience with strong fundamentals in data structures, algorithms, and system design
• Production Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)
• Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructure
• Strong problem-solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions
• Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences

Preferred Qualifications

• Agent Development Wiz
• Deep understanding of LLMs including prompting techniques, embeddings, and RAG architectures
• Experience building and deploying AI agents or autonomous systems in production
• Knowledge of vector databases and semantic search systems
• Contributions to open-source AI/ML projects

• Infrastructure Guru
• Experience with containerization (Docker, Kubernetes) and CI/CD pipelines
• Experience using Terraform, Bicep, or other Infrastructure as Code (IaC) tools
• Previous work in a devops, platform, or infra role

• Customer Product Whisperer
• Proven ability to work with customers in a technical consulting, solutions engineering, or product engineering role
• Domain expertise in verticals like finance, healthcare, government, or manufacturing
• Experience with technical enablement or teaching programs

Sample Projects

The following are some examples of the types of projects we’ve worked on with customers. All of these projects leverage customer data, integrate directly into customers’ existing systems, and are deployed on their infrastructure.

• Deep Research for Due Diligence
• Churn Prediction
• Data Extraction Voice Agent

Compensation

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Pay Transparency

For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $216,000-$270,000 USD

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As a Strategic Account Executive on the GSI team, you'll own a named book of accounts and the full revenue outcome for each. You'll develop a point of view on where Claude creates the most value across a firm's practice areas, advisory services, delivery teams, and internal operations, build relationships with the partners and executives who sponsor transformation at that scale, and expand the partnership well beyond the original buyer.

Responsibilities

• Own all revenue outcomes for a named book of GSI accounts, driving both new logo acquisition and multi-practice expansion through complex, multi-quarter sales cycles involving partner-led approval, global procurement, and custom commercial terms
• Develop a clear thesis for each priority firm , where Claude creates value across knowledge management, advisory workflows, deliverable generation, and client engagements , and execute a sequenced engagement plan across practices, regions, and stakeholders
• Build and independently advance executive relationships with Managing Partners, Practice Leads, MDs, CIOs, CTOs, and Heads of AI/Digital, anchoring every conversation to their strategic priorities: utilization, leverage, realization, and billable productivity
• Proactively create demand in unengaged practice areas and regions, using early wins as proof points to open new doors across decentralized, partner-led organizations
• Build quantified, firm-specific business cases mapped to the GSI operating model , using their own language and metrics , that shape deals rather than justify them after the fact
• Identify and close lighthouse partnerships that become references across the GSI landscape and set up the future sell-with motion
• Partner cross-functionally with Product, Applied AI, Engineering, and Partnerships to inform the roadmap based on GSI buyer needs, and contribute to the playbook, proof points, and commercial structures that become the repeatable GSI motion

Requirements

• 8+ years of enterprise software sales experience with a track record of owning named accounts at large, complex, partner-led organizations (global SIs, strategy consultancies), managing multi-quarter sales cycles through technical evaluations, partner-led approval, and global procurement
• Demonstrated ability to independently build and advance relationships at the Partner, MD, and C-suite level , including practice leadership and innovation/digital executives , and hold credible conversations across both technical and business audience
• Experience building firm-specific business cases grounded in the firm's own operating metrics (utilization, leverage, realization, margin) and defending commercial terms through complex negotiations
• Background selling platform, API, cloud infrastructure, or emerging technology into enterprises evaluating a new category
• Genuine interest in AI and strong alignment with Anthropic's mission of responsible AI development
• A history of growing accounts meaningfully beyond the original engagement by proactively creating demand across new practice areas, regions, and use cases

What Will Make You Stand Out

• Direct experience selling into Global SI’s or strategy consultancies, and fluency in how partner-led firms operate and measure success
• Experience as an early AE in a vertical or segment, where you helped build the sales motion rather than inherit it
• Background selling developer platforms, cloud infrastructure, or AI/ML tooling into traditional partner-led services firms

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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Your responsibilities will include:

• Defining next-generation AI development tooling and frameworks using products like Cursor, Claude Code, OpenAI Codex, and MS Copilot, as well as in-house custom-built solutions.
• Driving the architecture, design, and implementation of our local development process, build, test, continuous integration, and continuous delivery systems, working closely with stakeholders and internal customers to understand and refine requirements.
• Directly mentoring software engineers ranging from new grads to experienced engineers.
• Proactively identifying opportunities and driving improvements to software development practices, processes, tools, and languages.
• Presenting technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.

Ideally, you'd have:

• 4+ years of full-time engineering experience, post-graduation, with experience in build, test, or CI/CD systems.
• Extensive experience defining and evangelizing best-practices for AI development tools, including cost guardrails, security frameworks, and hosting knowledge-sharing sessions, among others.
• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).
• Experience configuring, testing, and enabling MCP servers, AI agents, and other associated systems.
• A track record of independent ownership of successful engineering projects.
• Excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
• Experience working fluently with standard infrastructure, containerization, and deployment technologies like Terraform, Docker, Kubernetes, etc.
• Experience with modern web frameworks like NodeJS, NextJS, etc.
• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, Helm, ArgoCD).

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

This role may be eligible for additional benefits such as a commuter stipend.

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In this role, you will:

• Build & Scale: Maintain fault-tolerant, high-performance systems for serving robotics-related models and foundation models at scale, ensuring low latency for real-time applications.
• Platform Development: Build an internal platform to empower model capability discovery, enabling faster iteration cycles for research teams working on robotics.
• Collaborate: Work closely with Robotics researchers and Computer Vision engineers to integrate and optimize models for production and research environments.
• Design Excellence: Conduct architecture and design reviews to uphold best practices in system scalability, reliability, and security.
• Observability: Develop monitoring and observability solutions to ensure system health and real-time performance tracking of model inference.
• Lead: Own projects end-to-end, from requirements gathering to implementation, in a fast-paced, cross-functional environment.

Ideally, you'd have:

• Experience: 4+ years of experience building large-scale, high-performance backend systems, with deep experience in machine learning infrastructure.
• Algorithm Optimization: Deep experience optimizing computer vision and other machine learning algorithms for cloud environments, including GPU-level algorithm optimizations (e.g., CUDA, kernel tuning).
• Programming: Strong skills in one or more systems-level languages (e.g., Python, Go, Rust, C++).
• Systems Fundamentals: Deep understanding of serving and routing fundamentals (e.g., rate limiting, load balancing, compute budgets, concurrency) for data-intensive applications.
• Infrastructure: Experience with containers (Docker), orchestration (Kubernetes), and cloud providers (AWS/GCP).
• IaC: Familiarity with infrastructure as code (e.g., Terraform).
• Mindset: Proven ability to solve complex problems and work independently in fast-moving environments.

Nice to Haves:

• Exposure to Vision-Language-Action (VLA) models.
• Knowledge of high-performance video processing (e.g., FFmpeg, NVDEC/NVENC) or 3D data handling (point clouds).
• Familiarity with robotics middleware (e.g., ROS/ROS2) or AV data formats.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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In this role, you'll interact directly with robotics and AV stakeholders to understand their technical needs and drive product development. You'll also design comprehensive monitoring and evaluation frameworks for robotics models and data quality, and collaborate with ML engineers and researchers to bring robotics research into production.

To succeed, you'll need at least 6 years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems. You should have strong programming skills in Python and TypeScript/Node.js for production systems, experience with React and modern frontend development for 3D interfaces, and concurrent and real-time systems expertise.

We're looking for someone who can deliver features at high velocity while maintaining system reliability and performance, and has a track record of working with cross-functional teams including ML engineers, researchers, and customers. Strong communication skills and the ability to operate with high autonomy are essential.

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As part of the Anthropic security department, the compliance team owns understanding security and AI safety expectations, as established by regulators, customers, and industry norms. The compliance team uses this understanding to provide direction to internal partners on the priorities of security and safety requirements they must meet.

Responsibilities

• Operate Anthropic's HIPAA compliance review program, executing on HIPAA obligations across the product portfolio.
• Run a dedicated HIPAA review track in parallel with the Product Security Review (PSR) process, applying compliance checklist to every in-scope change and recording a complete, auditable disposition before release.
• Build and maintain change monitoring mechanisms to catch HIPAA-relevant changes , including default setting changes and incremental updates.
• Partner with product and engineering teams upstream to ensure HIPAA considerations are built into first releases rather than addressed as post-launch remediations.
• Assess and document PHI data flows, infrastructure boundaries, and control coverage across Anthropic's cloud-native product environments.
• Write, update, and enact HIPAA policies, checklists, deployment guides, and audit evidence packages.
• Manage Business Associate Agreement (BAA) obligations and coordinate with legal and external counsel on PHI determination questions and emerging regulatory requirements.
• Contribute to Anthropic's broader compliance program, including adjacent frameworks (SOC 2, ISO 27001, NIST 800-53) where they intersect with HIPAA obligations.

Requirements

• 3+ years of progressive experience in compliance roles, including direct ownership of a HIPAA compliance program at a technology company
• Evaluated PHI data flows and infrastructure boundaries in cloud-native environments (AWS, GCP, or Azure) and can assess HIPAA exposure without always needing to escalate to legal
• Designed and operated a compliance review mechanism integrated into a product development or release process
• Translate HIPAA technical compliance requirements into actionable workstreams for engineering and product teams
• Deliver clear, precise compliance documentation , policies, checklists, audit evidence, deployment guides , for both technical and non-technical audiences
• Thrive in fast-paced, ambiguous environments where you're expected to build processes from scratch and keep them working under rapid product change
• Energized by being the organizational expert who educates and influences rather than only advises

Preferred Qualifications

• Worked in AI/ML or developer-platform companies and understand the unique challenges of PHI exposure in model inference and API environments
• HITRUST CSF experience or experience mapping HIPAA requirements to HITRUST controls
• Implemented or significantly contributed to compliance automation or GRC tooling integrations
• Relevant certifications (CHPC, HCISPP, CISA, CISM, CISSP, or equivalent)

What We Offer

• Annual compensation range: $255,000-$255,000 USD
• 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.

How to Apply

If you're interested in this role, please submit your application through our website. 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.

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Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.

The team has a dual mandate: maximizing compute efficiency to serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.

Strong candidates may also have experience with:

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP)
• Python or Rust

You may be a good fit if you:

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Representative projects across the org:

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Annual compensation range for this role is €235,000-€295,000 EUR.

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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They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals.

By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.

The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakebase product-line requires the following core technical competencies:

• 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions.
• Credibility in influencing OLTP products with the market insight needed to shape and prioritise roadmap capabilities.
• Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems.
• Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud)

Impact

Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory.

As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision.

Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership.

Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams

Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments.

Competencies & Responsibilities

• 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption.
• Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organisations to drive customer outcomes.
• Proficient in programming, debugging, and problem-solving using SQL and Python.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
• Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar.
• A track record of driving complex projects to completion in fast-paced, customer-facing environments.

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You'll translate infrastructure and product capabilities into commercial propositions, partnering with Sales and Marketing to ensure international enterprise and government customers understand what Anthropic can deliver, and when. You'll serve as the internal subject matter expert on international readiness requirements, advising on deals, partnerships, and policy positions as they arise.

You'll build scalable processes for capturing, triaging, and acting on international product feedback so it doesn’t get lost in HQ product cycles. You'll serve as the GTM strategist for Anthropic’s mission-oriented international programs, including our approach to responsible AI deployment in democratic allied nations and our strategy for expanding access and affordability in Global South markets.

You'll partner with Policy, Beneficial Deployments, and Global Affairs to ensure mission programs have a viable commercial and infrastructure foundation, not just a policy framework. You'll track and synthesise the competitive landscape for sovereign AI and national AI programs, surfacing implications for Anthropic’s positioning and commercial strategy.

Responsibilities

• Contribute to Anthropic’s international compute strategy
• Develop a framework for evaluating and sequencing data residency and sovereign deployment requests
• Identify and document international customer requirements for product localization
• Translate infrastructure and product capabilities into commercial propositions
• Serve as the internal subject matter expert on international readiness requirements
• Build scalable processes for capturing, triaging, and acting on international product feedback
• Serve as the GTM strategist for Anthropic’s mission-oriented international programs
• Partner with Policy, Beneficial Deployments, and Global Affairs to ensure mission programs have a viable commercial and infrastructure foundation

Requirements

• 5–7 years in product, technical GTM, solutions engineering, or strategy roles with meaningful international scope
• Strong working knowledge of cloud infrastructure, data residency frameworks, and enterprise compliance requirements
• Experience working with or selling to government customers or regulated enterprises
• Ability to synthesise complex technical, regulatory, and geopolitical constraints into clear commercial and strategic recommendations
• Comfortable building internal processes from scratch
• High autonomy and strong written communication
• Direct experience with sovereign cloud programs, regulated data environments, or government AI initiatives is a plus
• Familiarity with EU AI Act, India DPDP Act, or similar regulatory frameworks shaping enterprise AI deployment internationally is a plus
• Experience at a hyperscaler, cloud provider, or enterprise SaaS company navigating international infrastructure decisions is a plus
• An interest in the intersection of AI, democratic governance, and responsible technology deployment is a plus
• Annual salary: £120,000-£170,000 GBP

$190,000-$270,000 USD

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This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems across Europe , you'll bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams, and partner closely with our Compute Markets team who own the Europe market strategy and government relationships.

Responsibilities:

• Lead the RFP and commercial sourcing process for European data center deals, managing developer outreach, proposal evaluation, and competitive selection across multiple markets
• Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships
• Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure
• Serve as project manager for cross-functional stakeholder engagement , coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance to ensure alignment prior to lease execution
• Act as the single point of contact for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing status
• Develop and maintain transaction timelines, tracking critical-path items and proactively identifying risks that could impact deal closure
• Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms
• Manage complex digital infrastructure development activities to a construction-ready state, through a developer or directly
• Marry the right projects, capital stacks, and developers at the right stages
• Navigate country-specific permitting, grid connection, and regulatory requirements that vary significantly across European markets
• Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint across the region
• Partner with the Compute Markets Manager to prioritize markets, sites, and counterparties, and feed deal learnings back into Europe market strategy

You may be a good fit if you:

• Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement
• Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution
• Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements
• Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously
• Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions
• Have experience working in or across European markets, with knowledge of the regional data center and development landscape , including established FLAP-D hubs and emerging markets like the Nordics and Southern Europe
• Are comfortable operating across multiple countries with different legal frameworks, languages, and business cultures
• Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives
• Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution
• Demonstrate exceptional communication skills and can coordinate effectively across time zones with US-based HQ teams and distributed European partners

It's a bonus if you:

• Have experience with data center or hyperscale infrastructure transactions specifically
• Come from the development side of the industry rather than traditional brokerage/leasing , you understand how DC development works and how value is created (yield-on-cost, cap rates, development fees)
• Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity
• Have worked with legal teams on complex lease negotiations or infrastructure agreements across multiple European jurisdictions
• Understand utility coordination, power procurement, or energy considerations in data center transactions, particularly in the European context (fragmented national power markets, grid connection queues, renewable PPAs, sustainability and efficiency regulations)
• Have familiarity with data sovereignty and regulatory considerations that influence European site selection
• Have relationships within the European data center developer, operator, and broker ecosystem
• Have a background in corporate development, strategic partnerships, or infrastructure investment
• Have experience in high-growth technology companies managing infrastructure expansion

Annual compensation range for this role is £225,000-£270,000 GBP.

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About Anthropic

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

Security at Anthropic is not a compliance exercise. It is a core part of how we stay safe as we build increasingly capable systems. Our Responsible Scaling Policy commits us to launching structured security R&D projects: ambitious, time-boxed experiments designed to resolve high-uncertainty questions about our long-term security posture.

Each project runs for roughly 6 months with defined exit criteria. Some will succeed and move toward production. Others will fail, and we'll treat that as useful signals. The questions these projects are designed to answer include:

• Can our core research workflows survive extreme isolation?

• Can we get cryptographic guarantees where we currently rely on trust?

• Can AI become our most effective security control?

As a Security Labs Engineer, you own one or more projects end-to-end: scoping the experiment, building the infrastructure, coordinating across teams, running the pilot, documenting results, and where the experiment succeeds, helping scale it into production. This is 0-to-1 and 1-to-10 work.

Current Project Areas

The portfolio evolves based on what we learn. Current areas include:

• Designing and operating a mock high-assurance research environment: simulating what our infrastructure would look like under extreme isolation and physical security controls, with real measurement of productivity impact

• Exploring cryptographic verification of model integrity using techniques like zero-knowledge proofs to provide mathematical guarantees about what is running in production

• Assessing the feasibility of confidential computing across the full model lifecycle (note: this is an open question, not a committed roadmap item)

• Piloting AI-assisted security tooling including vulnerability discovery, automated patching, anomaly detection, and adaptive behavioral monitoring

• Prototyping API-only access regimes where even internal research workflows never touch raw model weights

Part of your job is helping shape what comes next based on gaps uncovered in the current round.

Responsibilities

• Own the end-to-end execution of a Security Labs project: refine the hypothesis, design the experiment, build the prototype, run the pilot, and write up the results

• Build novel security infrastructure under real time pressure: isolated clusters, hardened access controls, cryptographic verification layers, with a bias toward learning fast

• Where experiments succeed, drive them toward production scale. An experiment that works on one cluster but not a hundred is not a finished result.

• Work embedded with research teams (Pretraining, RL, Inference) to stress-test whether their core workflows can function under extreme security controls, and document precisely where they break

• Evaluate and integrate emerging security technologies through coordination with external vendors and research groups

• Turn experimental results into clear, decision-ready writeups that inform Anthropic's long-term security architecture and RSP commitments

• Maintain a pain-point registry and feasibility assessment for each project, feeding directly into the design of production high-assurance environments

• Help scope and prioritize the next wave of Labs projects based on what the current round uncovers

Requirements

• 7+ years of software or security engineering experience, with a solid foundation in production systems

• Some of that time spent on pilots, prototypes, or applied research work where shipping a working answer to a hard question was the explicit goal

• Strong programming skills in Python and at least one systems language (Go, Rust, or C/C++)

• Hands-on experience with cloud infrastructure (AWS, GCP, or Azure), Kubernetes, and networking fundamentals sufficient to stand up and tear down isolated environments quickly

• A track record of cross-functional execution: you can walk into a room with ML researchers, infrastructure engineers, and vendors and leave with a shared plan

• Clear written communication: you know how to turn six weeks of experimentation into a two-page memo someone can act on

• Comfort with ambiguity and iteration, having run experiments that failed, extracted the lesson, and moved forward

• Genuine curiosity about what it would actually take to defend against a nation-state-level adversary

• Passion for AI safety and a real understanding of the role security plays in making frontier AI development go well

• Bachelor's degree in Computer Science, a related field, or equivalent industry experience required.

Preferred Qualifications

• Prior experience in offensive security, red teaming, or security research, having thought adversarially about systems and knowing which threats actually matter

• Familiarity with airgapped or high-side environments (classified networks, ICS/SCADA, financial trading infrastructure, or similar) and the operational realities of working inside them

• Knowledge of applied cryptography: zero-knowledge proofs, attestation protocols, secure enclaves, TPMs, or confidential computing primitives

• Experience with ML infrastructure (training pipelines, inference serving, model packaging) sufficient for grounded conversations with researchers about what their workflows actually need

• Background building or operating security systems in environments that demand rapid iteration rather than rigid change control

• Prior work at a startup, on an innovation team, or in an applied research group where shipping a working v0 to answer a real question was explicitly the goal

Location

This role is based in our San Francisco office (500 Howard St). Several Labs projects involve physical secure facilities on-site, so expect to be in-office more frequently than Anthropic's standard 25% hybrid baseline.

What We Offer

• Competitive salary and equity package

• Comprehensive health insurance and retirement plans

• Flexible work arrangements, including remote work options

• Professional development opportunities, including training and conference attendance

• Collaborative and dynamic work environment

• Access to cutting-edge technology and resources

• Opportunity to work on challenging and impactful projects

• Recognition and rewards for outstanding performance

If you're excited about the opportunity to join our team and contribute to the development of secure and beneficial AI systems, please submit your application. We can't wait to hear from you!

Deadline to Apply

None, applications will be received on a rolling basis.

Annual Compensation Range

$405,000 - $485,000 USD

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 the process.

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Your responsibilities will include:

• Owning and architecting large-scale data processing pipelines for robotics and autonomous vehicle datasets
• Building ML training and fine-tuning pipelines using Scale's robotics data
• Working across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions
• Developing tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation
• Interacting directly with robotics and AV stakeholders to understand their technical needs and drive product development
• Designing comprehensive monitoring and evaluation frameworks for robotics models and data quality

Ideal candidates will have:

• 3+ years of high-proficiency software engineering experience, with a strong background in complex systems and the ability to independently research, analyze, and unblock hard technical problems
• Strong programming skills in Python and TypeScript/Node.js for production systems
• Experience with React and modern frontend development for 3D interfaces
• Concurrent and real-time systems, with special attention to timing constraints
• Understanding of distributed systems, workflow orchestration, and cloud infrastructure (AWS, Temporal, Kubernetes, Docker)
• Experience with databases (MongoDB, PostgreSQL) and data processing at large scale
• Track record of working with cross-functional teams including ML engineers, researchers, and customers
• Strong communication skills and ability to operate with high autonomy

Nice to have:

• Experience with C++
• Experience with robotics hardware platforms (robotic arms, mobile robots, perception systems) with a focus on time synchronization
• Background in computer vision, SLAM, motion planning, or imitation learning
• Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing
• Experience with ML model deployment and serving frameworks
• Knowledge of teleoperation systems (ALOHA, UMI, hand tracking) or VR interfaces
• Experience with workflow orchestration systems (Temporal, Airflow)
• Published research or open-source contributions in robotics or autonomous systems

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As a Senior Software Engineer, you will be responsible for designing, implementing, and deploying large-scale distributed systems, including intelligent request routing, fleet-wide orchestration, and load balancing. You will work closely with our research team to develop new inference features and integrate new AI accelerator platforms.

To succeed in this role, you should have significant software engineering experience, particularly with distributed systems, and be results-oriented with a bias towards flexibility and impact. You should also be able to pick up slack, even if it goes outside your job description, and thrive in environments where technical excellence directly drives both business results and research breakthroughs.

Responsibilities:

• Design and implement large-scale distributed systems, including intelligent request routing, fleet-wide orchestration, and load balancing
• Work closely with our research team to develop new inference features and integrate new AI accelerator platforms
• Collaborate with cross-functional teams to ensure seamless deployment and operation of our systems
• Analyze observability data to tune performance based on real-world production workloads
• Manage multi-region deployments and geographic routing for global customers

Requirements:

• Bachelor's degree or equivalent combination of education, training, and/or experience
• Significant software engineering experience, particularly with distributed systems
• Results-oriented with a bias towards flexibility and impact
• Ability to pick up slack, even if it goes outside your job description
• Thrives in environments where technical excellence directly drives both business results and research breakthroughs

Preferred Qualifications:

• Experience with Kubernetes and cloud infrastructure (AWS, GCP)
• Familiarity with machine learning systems and infrastructure
• Strong communication and collaboration skills

Benefits:

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space in which to collaborate with colleagues

Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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Key Responsibilities: Drive multi-functional, diverse teams in a highly dynamic and fast-paced environment. Generate and capture business opportunities. Grow existing business. Communicate our value to customers. Inform product development.

Requirements: Proven development and growth leader who has validated experience building, executing and winning business capture strategies with an emphasis on commercial and defense maritime industries. Demonstrated knowledge in defense acquisitions with particular emphasis on US Army or USMC industries and a history of zero-to-one defense program growth a plus. An aptitude and appetite to thrive within organizations with nascent structure, high-ownership culture, and a "whatever it takes" environment. A knack for knocking out deliverables in an ambiguous environment, while maintaining a level-head, strong interpersonal skills, and executive gravitas. Bachelor's degree.

Preferred Qualifications: Prior experience with DoD Capture and Sales. Experience in the technical, programmatic, and operational challenges of autonomous systems and/or crewed aviation. 2-3 years consultant in the Aerospace and Defense Field. Expertise in defense and commercial industries or complex engineering systems. Prior military or contracting experience, or experience in DoD or Government. Experience with government business development, government contract structures, and government proposal processes. Master's or PhD in Engineering/Technical related field. Ability to travel 30-50%, some international. Currently has and is able to maintain an active U.S. Secret or Top Secret security clearance.

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Your role will be pivotal in ensuring Anduril's products work seamlessly together to achieve a variety of crucial outcomes. You'll develop innovative solutions for complex robotics problems, balance pragmatic engineering trade-offs with mission-critical requirements, and collaborate across teams to integrate software with hardware systems.

Contributing to the entire product lifecycle, from concept to deployment, you'll rapidly prototype and iterate on software solutions. We're looking for someone who thrives in a fast-paced environment and isn't afraid to tackle ambiguous problems. Your 'Whatever It Takes' mindset will be key in executing tasks efficiently, scalably, and pragmatically, always keeping the mission at the forefront of your work.

This role offers the opportunity to make a significant impact on next-generation defense technology, working with state-of-the-art robotics and autonomous systems. You'll be part of a team that values innovation, quick iteration, and delivering high-quality solutions that meet real-world needs.

Must be eligible to obtain and maintain an active U.S. Secret security clearance. This position will be located at our office in Atlanta, GA (relocation benefits provided.)

Key Responsibilities:

• Develop and maintain core robotics libraries, including frame transformations, targeting, and guidance systems, that will be utilized across all Anduril robotics platforms

• Lead the development and implementation of major features for our products, such as designing and building Software-in-the-Loop simulators for advanced systems like Altius

• Lead and mentor a group software engineers to help drive team success and to successfully hit tight project deadlines

• Optimize performance of existing products, primarily focused on our Altius Drone product line

• Collaborate closely with hardware and manufacturing teams throughout the product development lifecycle, providing timely feedback to influence and enhance final hardware designs

• Troubleshoot and resolve complex issues in deployed systems, ensuring optimal performance in the field

• Contribute to the design and implementation of multi-agent coordination systems for UAVs

• Participate in the full software development lifecycle, from concept and design through testing and deployment

• Stay current with emerging technologies and industry trends, recommending and implementing innovations to improve our products and processes

Required Qualifications:

• Bachelor's degree in Robotics, Computer Science, or related field

• 7+ years of professional software development experience

• Experience as a lead of a small software engineering team

• Strong proficiency in C++ or Rust, with experience in Linux development environments

• Demonstrated expertise in data structures, algorithms, concurrency, and code optimization

• Proven experience troubleshooting and analyzing remotely deployed software systems

• Hands-on experience working with and testing electrical and mechanical systems

• Ability to collaborate effectively with cross-functional teams, including hardware and manufacturing

• Strong problem-solving skills and a 'Whatever It Takes' mindset

• Excellent communication skills, both written and verbal

• Eligible to obtain and maintain an active U.S. Secret security clearance

• Willingness to relocate to Atlanta, GA

Preferred Qualifications:

• Master's or Ph.D. in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering)

• Expertise in one or more advanced robotics areas: motion planning, perception, localization, mapping, or controls

• Experience with performance optimization and metrics for complex robotic systems

• Proficiency in Python, Rust, and/or Go, in addition to C++

• Hands-on experience programming for embedded systems and physical devices

• Background in multi-agent coordination, particularly with UAVs

• Demonstrated ability to solve complex frame transformation problems (e.g., target localization, multi-degree-of-freedom robotic arms)

• Experience with real-time operating systems and distributed computing

• Familiarity with machine learning and AI applications in robotics

• Knowledge of sensor fusion techniques and implementation

• Understanding of aerodynamics and flight dynamics as applied to UAV systems

• Experience with simulation environments for robotics testing and development

• Track record of contributions to open-source robotics projects or relevant publications

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You'll collaborate with Elastic's Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Search platform, ensuring customers maximise the value of their data while achieving business outcomes. This is a highly impactful role, with opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates.

Key responsibilities include:

• Translating business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack
• Leading end-to-end delivery of customer engagements – from discovery and design through implementation, enablement, and optimisation
• Partnering with customers to architect, deploy, and operationalise Elastic solutions that drive measurable value and adoption
• Providing technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles
• Collaborating cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement

The ideal candidate will have 5+ years of experience as a consultant, engineer, or architect with deep expertise in Enterprise Search technologies, including Elasticsearch and related search platforms. They will also have hands-on experience designing and deploying search solutions, proficiency in at least one programming language, and knowledge of distributed search systems and large-scale infrastructure.

The role offers a competitive salary range of $110,900-$175,500 USD, with opportunities for growth and professional development in a dynamic and distributed company.

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At Coinbase, our mission is to increase economic freedom in the world.

We’re seeking a very specific candidate who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system.

As an Internal Audit IT Manager, you will own end-to-end delivery of complex IT and security audits across our cloud infrastructure, security operations, and crypto-native systems.

Key responsibilities include:

• Owning end-to-end delivery of IT and security audits, from risk assessment and scoping through planning, fieldwork, testing, reporting, and issue validation,covering cloud infrastructure (AWS, GCP), security operations, identity and access management, data protection, IT asset management, vendor/third-party risk, and key in-scope products and services including blockchain infrastructure, centralized and self-hosted wallets, and cold storage.

• Driving AI-enabled audit execution, designing and implementing data analytics, automation, and Generative AI solutions to modernize how we audit (e.g., continuous monitoring, anomaly detection, automated evidence retrieval, AI-assisted workpaper drafting),while maintaining rigorous human-in-the-loop validation to ensure accuracy and audit-quality conclusions.

• Executing audits aligned with the multi-year IT and security audit roadmap, coordinating coverage with co-sourced partners and cross-functional risk initiatives while ensuring alignment with Coinbase's enterprise risk profile, technology strategy, and regulatory expectations across regions (US, EMEA, APAC).

• Driving high-quality, risk-based findings and executive-level reporting, distilling key themes, emerging risks, and root causes into clear, concise materials for senior management and the Chief Audit Executive,ensuring findings are appropriately documented and supported by evidence.

• Partnering with technology and security leadership across Engineering, Security, Infrastructure, Product, and Operations to build trusted relationships, challenge control design, and advise on pragmatic, risk-based, scalable remediation while maintaining third-line independence.

• Driving disciplined issue management, ensuring timely, risk-based remediation by management, high-quality root cause analysis, and validation of remediation activities,escalating delays or thematic concerns to senior leadership as needed.

• Evaluating and developing talent, assessing candidates and helping build a high-performing, technically credible audit team.

Requirements include:

• 7+ years of experience in IT/security internal audit, technology risk, or first-line security/engineering roles with significant controls exposure.

• Experience working in a fast-paced, cloud-native, or engineering-driven environment where technology and security practices evolve rapidly.

• Hands-on audit experience with cloud platforms (AWS, GCP), including IAM policies, security configurations, logging/monitoring, and CI/CD pipelines.

• AI-forward mindset with demonstrated experience applying Python, SQL, or AI tools to audit or security work, building workflows rather than just prompting.

• Relevant professional certifications (e.g., CISA, CISSP, CIA, CISM) required; CPA or CFE a plus.

• Working knowledge of key frameworks such as NIST CSF, COBIT, SOC 2, and ITIL.

• High EQ and collaborative style.

• Proven ability to translate complex technical findings into clear, executive-ready narratives for both technical and non-technical audiences.

• Ability to manage multiple audits and initiatives across time zones (EMEA, APAC) with minimal oversight.

• Demonstrated leadership and team-development experience, including mentoring, coaching, and managing direct reports.

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to have:

• Experience auditing or building blockchain infrastructure, crypto custody, or wallet systems (hot/cold storage).

• Background in a high-growth or rapidly scaling environment with complex, evolving technology stacks.

• Experience with GRC platforms (Workiva, Archer, AuditBoard) or building custom audit automation tooling.

• Familiarity with DORA, MiCA, or crypto-specific regulatory frameworks.

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At Coinbase, our mission is to increase economic freedom in the world.

We're seeking a Senior Software Engineer, Infrastructure - Platform Compute to join our team.

As a member of our Platform Product Group, you will be responsible for building a trusted, scalable, and compliant platform to operate with speed, efficiency, and quality.

Our teams build and maintain the platforms critical to the existence of Coinbase.

The Compute team builds and operates the Kubernetes platform at Coinbase, which is the primary compute orchestration infrastructure for services at Coinbase.

You will work towards continuously improving the scalability, reliability, efficiency, and operational experience of using Kubernetes at Coinbase, working closely with the Routing, Security, Reliability, and Observability teams (among many others).

Responsibilities:

• Build tooling and automation to make management of our Kubernetes clusters easy and reliable.

• Build tooling and automation to improve the developer and operational experience of working with Kubernetes for all users.

• Operationalize our Kubernetes platform so that it continues to be automated and self-healing to prevent unnecessary oncall burden.

• Develop net-new Kubernetes-related capabilities for service owners at Coinbase (e.g. one off jobs, cron, different deployment strategies, support for EFS, automated right sizing).

• Support our customers as they operate critical services for Coinbase in Kubernetes.

Requirements:

• At least 5+ years of software engineering experience and experience with Kubernetes, or similar compute orchestration systems (e.g. mesos, nomad)

• Strong AWS and/or GCP infrastructure knowledge

• Ability to build backend services in addition to infrastructure

• Ability to hold a high bar for quality, are a self-starter, and have strong interpersonal skills

• Strong problem-solving skills and ability to identify problems, determine their root cause, and see them through to solution

• Ability to balance business needs with technical solutions

• Has experience scaling backend infrastructure

Job #: P74890

*Answers to crypto-related questions may be used to evaluate your on-chain experience.

Pay Transparency Notice: Depending on your work location, the target annual base salary for this position can range as detailed below.

Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)).

Annual base salary range (excluding equity and bonus):

$186,065-$218,900 USD

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We’re facing many exciting scaling challenges and we’re building a robust platform where your expertise can be applied to areas such as building a beautiful messenger composer, rule matching, deliverability, security, app availability and machine learning, to name a few.

As an experienced engineer you will:

Develop technical plans and contribute to our technical architecture as we scale our products to serve tens of millions of people every day.

Write Ruby code, which knits together a lot of AWS, infrastructure, platform and SaaS technologies that form the core of Intercom’s backend infrastructure

Ship a change to production on your first day and a feature in your first week. That “day one” change is automatically deployed to production along with 100 other deployments (on average) each weekday.

Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems.

Grow your team’s capacity by mentoring other engineers and interviewing candidates. This is a chance to be an integral part of building and growing a team.

We are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!

Competitive salary and equity in a fast-growing start-up

We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen

Regular compensation reviews - we reward great work!

Pension scheme & match up to 4%

Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents

Flexible paid time off policy

Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones

If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too

MacBooks are our standard, but we also offer Windows for certain roles when needed.

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Responsibilities: Qualify new sales opportunities by understanding customer requirements and converting it to Cresta technical requirements Partner with Enterprise Account Executives to discover and understand the prospect's situation and the challenges that they are experiencing Lead discovery calls with prospective customers & internal cross-functional teams to build and deliver product demos. Solving problems for potential customers and demonstrating the value of Cresta product Provide your prospects with insights and learnings from your vast experience in helping customers improve their contact center and customer experience operations Drive adoption during proof of values by training individual managers and users on the Cresta solution Translate prospect use cases into brilliant technical solutions and demonstrate the path to ROI Deliver captivating product demos highlighting value propositions to get prospects excited about how Cresta will help them reach their goals Run ROI workshops to translate our solution into a financial business case proposal Provide feedback to product management about the successes and failures in the field

Qualifications: 4+ years of experience in customer-facing roles, with 1–3 years in a technical pre-sales capacity supporting large enterprise sales cycles Deep hands-on expertise with Conversational AI and CCaaS platforms, helping customers modernize contact center operations Known for a strong work ethic, enthusiasm, and thoughtful engagement with clients and internal teams alike Desire to practice and prepare your presentation (or demo) meticulously, as you always strive for perfection Natural problem-solver; resourceful in leveraging internal teams and cross-functional collaboration to move deals forward Fast learner with a passion for new technology and a talent for simplifying complexity for customers Experienced with Salesforce.com, contact center infrastructure, and enterprise SaaS environments You embody our core Operating Principles

Perks & Benefits: Comprehensive medical, dental, and vision coverage with plans to fit you and your family Flexible PTO to take the time you need, when you need it Paid parental leave for all new parents welcoming a new child Retirement savings plan to help you plan for the future Remote work setup budget to help you create a productive home office Monthly wellness and communication stipend to keep you connected and balanced In-office meal program and commuter benefits provided for onsite employees

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Key responsibilities include engineering, securing and optimizing cloud infrastructure, Identity and Access Management, Endpoints, Collaboration tools, and ensuring compliance with SOX, PCI DSS, and FedRAMP compliance. The Head of Corporate Engineering will work closely with R&D on managing engineering tools like Jira, Confluence, and GitHub, driving efficient adoption and integration.

Strong technical and influencing leadership principles coupled with the ability to manage a complex, scaling, and fast-moving enterprise environment are essential. This role reports directly to the Vice President, Infrastructure and Operations

Responsibilities:

In this influential role, you will be responsible for:

Securing the Enterprise: Working closely with Enterprise Security organization to harden and secure our cloud environments, secret management, collaboration tools, endpoints, SaaS environments, IAM tools, and more. Success measured in continuous improvement of our enterprise security hardening standards

Building and Scaling our Cloud Infrastructure: Your team will be responsible for establishing and implementing enterprise cloud infrastructure including establishing Infrastructure Provisioning, SRE services, 24/7 on-call support, Infra as Code, observability, and more. In addition, you will be responsible for managing cloud budgets, vendor management, and establishing cost optimization initiatives. Success is measured in increased developer velocity while securing & scaling the cloud infrastructure

Engineering Tooling: Partner closely with R&D teams to establish policies, configurations, run-books, SLAs, hardening, scalability and availability of engineering tools like Github, Jira, Atlassian, and more

Endpoint Engineering: Enable extreme automation for endpoint management with zero-touch deployment, observability (synthetic and real-time), provisioning/de-provisioning, and establishing standards / SLAs. Enforce security policies, configure & manage security settings and ensure compliance across all endpoints and mobile devices. Success is measured in terms of end-user satisfaction and % of manual touch

Collaboration Management: Ensure we provide world class tools to our employees to be extremely productive and collaborative. This would include but not be limited to managing and scaling internal workplace products like Gmail, Slack, Atlassian, Moveworks, Glean, and more. Success is measured by user satisfaction

Identity & Access Management: Manage the IAM team from IAM implementation, access standards enforcement, SLA management, and compliance to various standards like FedRAMP, IL5, PCI, and more. Included are both internal and external identity providers to be managed. Success is measured by compliance, Identity governance, and availability

Desired Success Outcomes

A high-performing enterprise engineering team capable of handling complex technical projects with agility and high quality

Well defined cloud strategy ensuring the stability, scalability, and security of cloud infrastructure. Overhaul of current processes and workflows to address inefficiencies and increase team velocity

Robust endpoint security with Implementation of comprehensive security measures for all endpoints, including Mac, Windows, and mobile devices

Deliver high-quality employee experience with productivity tools (Gmail, Slack, Atlassian tools, Moveworks, GitHub) with a robust forward-looking roadmap

Efficient operational support for Tier 3 IT services with minimized production incidents. Implementation of robust incident and change management processes with mature operational practice

Efficient and mature processes for system integrations related to Mergers and Acquisitions (M&As), ensuring timely smooth transitions during M&A integrations

Development and implementation of automation tools and frameworks, Identification of automation opportunities to reduce manual toil and improve accuracy

Qualifications:

10 years of experience managing Cloud infrastructure at large enterprises. Extensive experience managing public cloud implementations in AWS. Experience with GCP and Azure will be a plus

In-depth understanding of Cloud native technologies to lead and guide the team. Must have hands-on experience in troubleshooting and debugging issues in production environments

Working experience in managing DevOps/SRE practices OKRs (Objective and Key Results), Agile development, Infra-as-code, SRE (Site Reliability Engineering), DevOps measurement such as DORA KPIs,

In-depth understanding of each collaboration tool's features, functionalities, and configurations (e.g., Gmail for email, Slack for messaging). Ability to identify and integrate and optimize the use of various tools for seamless collaboration (e.g., connecting Jira with GitHub for Dev metrics)

Experience leading a team of senior professionals working asynchronously in a remote, distributed team. Strong communication skills, with clear verbal communication and written communication skills

Collaborative style: partners well with cross-functional teams to solve hard problems and to complete complex deliverables with quality and business outcomes

Provide mentorship and guidance to team members to ensure that their skills and knowledge are kept up-to-date

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range $265,000-$364,300 USD

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From the initial call to the final interaction, you'll have the opportunity to dazzle and support our clients every step of the way, making a lasting impact with each connection.

As a Solutions Architect, you will act as a subject matter expert, provide consulting and guidance on technical solutions, and ultimately deliver a world-class experience to our customers.

This position reports to our Manager, Solution Architect. Must be able to work US hours.

Key Responsibilities

• Design and configure contact center call flows, ensuring seamless integrations with business systems and accurate reporting data.
• Collaborate with clients to understand their operational needs and tailor Dialpad solutions to optimize call handling, automation, and analytics.
• Provision and configure desk phones, providing best practices and recommendations for an efficient setup.
• Lead deployment efforts, overseeing call flow design, integrations, and system configurations to align with business objectives.
• Troubleshoot issues and help identify and report bugs during deployments, ensuring a smooth transition and minimizing disruptions for end users.
• Analyze and refine workflows, proactively identifying areas for improvement to enhance efficiency and performance.
• Perform risk analysis and change management, ensuring project success and on-time delivery.
• Conduct video conferencing sessions to provide expert insights, guide clients through implementation, and ensure the adoption of best practices.

Requirements

• Excellent grasp of various modern cloud communications platforms, such as Google G-Suite and Office 365.
• Experience with Business VoIP Telephony Services (On-Premise or SaaS).
• Understanding and experience with: VoIP CODECs and technologies (G.711, G.729, G.722, OPUS, H.264, VP8, VP9, WebRTC, H.323, SIP, Network Analyzers).
• Network Infrastructure (Firewalls, Routers, Switches & Wireless); WAN Technologies (MPLS, VPLS & SD-WAN).
• Data Center Technologies (Public & Private Clouds).
• Software components involved in enterprise service delivery (web servers, application servers, databases, web services, mainframes, network-attached storage, and other related technologies).
• Proven track record in implementing CCaaS (Contact Center as a Service) and UCaaS (Unified Communications as a Service) solutions.
• Engineering Services: Expertise in specialized technical and functional areas, including software engineering, programming languages, system integrations, and database management.

Why Join Dialpad

• Work at the center of the AI transformation in business communications.
• Build and ship agentic AI products that are redefining how companies operate.
• Join a team where AI amplifies every employee’s impact.
• Competitive salary, comprehensive benefits, and real opportunities for growth.

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential.

Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.

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We're looking for a talented software engineer to join our Storage team at Cockroach Labs. As a member of our team, you will contribute to the growth of CockroachDB by bringing your expertise and commitment to excellence to help build a database that makes data easy for everyone.

Responsibilities

• Develop in Go, but if you don't know it, you'll learn while you're here.
• Improve the performance of CockroachDB.
• Work closely with other engineers and product managers across both the cloud and database teams.
• Work in an environment in which access to state-of-the-art AI-assisted planning and development is provided.
• Take part in a collaborative culture and exchange knowledge with a highly experienced technical organization.
• Ensure that CockroachDB remains scalable, survivable, and consistent as we continue to grow as a company.

Expectations

In your first 30 days, you will become an integrated member of our engineering team. You’ll spend time learning about the Storage team’s domain, processes and people, as well as learning about CockroachDB and CockroachDB Cloud. After 3 months, you will be fully integrated into the team and comfortable contributing to the Storage team’s execution in partnership with Product and Design. After 6 months, you’ll be fully integrated into the Storage team and have a deep understanding of the tech stack and other areas of the Engineering organization.

Requirements

• Experience working on complex technical products and have exposure to distributed systems, concurrency control, file systems, data replication, or memory management.
• Comfort using programming languages like Go, C/C++, Java, and Python. We use Go, but if you don't know it, you'll learn while you're here.
• A solid product architecture knowledge and grasp how a variety of team interactions’ may impact it.
• Experience (or strong interest) in adopting AI-centric development workflows.
• 3+ years of relevant experience is ideal.
• A BS, MS or PhD in Computer Science or equivalent experience.
• Bonus: Experience with storage systems (e.g., preferably Log-Structured Merge Trees, Pebble, etc.)
• Bonus: Experience building, running and debugging large-scale distributed systems in production.
• Bonus: you want to play an active role in how we use AI to reduce toil and build high-quality software.

Team

Reporting to Andy Xu - Manager, Engineering

Andy leads the Storage team within the Database Platform organization, where he oversees the development of Pebble, a Log Structured Merge (LSM) tree implementation (akin to RocksDB, but with innovative features for a SQL database). Based in Seattle with his family, Andy enjoys hiking, playing badminton, and spending quality time with his children outside of work.

Jordan Lewis - VP of Engineering

Jordan is the Head of Engineering for Cockroach Labs. He’s responsible for the teams that build, maintain and keep CockroachDB reliably serving the needs of Cockroach Labs’ most demanding customer base. He joined Cockroach Labs as a Database Engineer in 2016 when it was just 25 people before moving into engineering leadership leading the Global Engineering organization. Jordan lives in his hometown of Brooklyn NY with his wife. Outside of work he enjoys folk music and riding his electric scooter around town.

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As a Product Manager at Scale, you will sit at the intersection of these two sides, shaping the systems, tooling, and experiences that make this marketplace work at unprecedented quality and scale.

You will work with dedicated engineering, design, and data science teams, as well as operations, finance, growth, and customer-facing stakeholders. The problems are technically complex, the pace is fast, and the impact is measurable.

Whether you are on the demand side (shaping the products customers use to create and evaluate training data) or the supply side (building the systems that power our global contributor marketplace), you will own your product area end-to-end , from strategy to execution to instrumentation.

Scale is a growth-stage company with the resources of a well-funded leader and the urgency of a startup. PMs here operate with significant autonomy, ship frequently, and are expected to be deeply analytical and hands-on.

Responsibilities

• Set the product strategy and roadmap for your area, grounded in customer needs, data analysis, and business impact

• Develop and execute a data-driven product roadmap through close collaboration with senior leadership, engineering, operations, data science, analytics, and design

• Translate customer and internal-user needs into clear, well-defined functional and technical requirements backed by data analysis and deep understanding of your users

• Guide and interface closely with engineering and data teams to define scope, review and refine technical capabilities, prioritize projects for release, and identify new opportunities

• Build long-term instrumentation, monitoring, and evaluation capabilities for product performance tracking and insight generation

• Establish business cases and projected return on investment to identify and prioritize opportunities

• Partner with finance and business leaders to manage impact on the profitability and growth of the overall business

• Communicate product vision, strategy, and progress to executive stakeholders and cross-functional partners

Ideal Candidate

• 4–10 years of experience in Product Management in the tech industry, with scope appropriate to level (L4: 4–6 yrs, L5: 6–8 yrs, L6: 8–10+ yrs)

• Strong business acumen and analytical rigor, with demonstrated success driving products in ambiguous, high-growth environments

• Experience translating complex technical systems into clear product strategies , comfort engaging deeply with engineering and data science teams

• Excellent communication and stakeholder management skills, capable of influencing across technical and non-technical audiences

• Experience building products from the ground up and iterating through the scaling journey of a business

• Bachelor’s or advanced degree in a quantitative, engineering, or related discipline

Compensation

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

The base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$205,600-$257,000 USD

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You'll focus on large, complex enterprise accounts, guiding customers through modernisation and DevSecOps transformations while driving pipeline generation that translates into measurable Net ARR and long-term expansion.

In this role, you'll use your understanding of the software development lifecycle, including continuous integration and continuous delivery (CI/CD) automation, secure development practices, and infrastructure modernisation, to connect customer stakeholders with GitLab's field organisation so GitLab is seen as a trusted, long-term partner across the full sales cycle.

Some examples of our projects include building and growing a territory plan focused on large, high-growth digital native organisations, from new logo prospecting through long-term account expansion on GitLab's AI-powered DevSecOps platform.

Key responsibilities:

• Lead and grow GitLab's largest and most strategic Digital Native prospects and customers across your territory, focusing on organisations building modern software products at scale

• Drive the full enterprise sales cycle, from prospecting and pipeline generation through qualification, evaluation, negotiation, and close within large, complex Digital Native accounts

• Provide hands-on account leadership and direction throughout the pre- and post-sales process to ensure a smooth customer experience and strong adoption of GitLab's AI-powered DevSecOps platform

• Partner closely with Sales Development Representatives, Solutions Architects, Customer Success, and strategic channel partners to generate qualified opportunities, co-sell, and execute account strategies that drive new business and expansion within Digital Native organisations

• Develop and maintain detailed account plans for priority Digital Native customers, including opportunity mapping, stakeholder alignment, and multi-threaded engagement across engineering, security, platform, and business leaders

• Coordinate and facilitate the involvement of cross-functional GitLab team members, including sales leadership, marketing, product, and support, to progress opportunities and deliver an excellent customer experience

• Prepare activity and forecast reports, contribute to forecasting and pipeline reviews, and share root cause analysis and lessons learned from wins and losses with account managers, marketing, and technical teams

• Act as the voice of the customer by contributing product ideas to our public issue tracker, preparing and delivering customer-facing and internal presentations, quotes, proposals, and formal sales documents that address Digital Native business challenges and clearly communicate long-term value and outcomes

What you'll bring:

• Deep experience driving complex B2B software sales cycles with enterprise customers, ideally in DevSecOps, software development tools, or adjacent SaaS solutions that support the software development lifecycle

• Ability to prospect, build pipeline, and close new business while expanding strategic relationships within large digital native accounts across your territory

• Strong understanding of modern software delivery, including continuous integration and continuous delivery (CI/CD), secure development practices, and cloud and infrastructure modernization, with the ability to connect platform capabilities to customer outcomes

• Proven ability to navigate and influence complex organisations, building trusted relationships with senior stakeholders across engineering, security, operations, and business teams

• Experience creating and executing account plans for priority accounts, including opportunity mapping, multi-threaded engagement, and disciplined deal and account management

• Effective communication and interpersonal skills, including comfort leading customer presentations, negotiations, and executive-level conversations and coordinating internal resources to move opportunities forward

• Capacity to work autonomously and asynchronously in a fully remote environment while staying aligned to shared goals, processes, and forecasting expectations across the broader GitLab team

• Familiarity with forecasting, pipeline hygiene, and reporting, including sharing learnings from wins and losses to improve repeatable sales motions

How GitLab Supports Full-Time Employees:

• Benefits to support your health, finances, and well-being

• Flexible Paid Time Off

• Team Member Resource Groups

• Equity Compensation & Employee Stock Purchase Plan

• Growth and Development Fund

• Parental leave

• Home office support

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This role is critical to securing the infrastructure that powers Anthropic's frontier AI systems in the region , you'll bridge commercial negotiations with complex internal coordination across legal, finance, engineering, and network teams, and partner closely with our Compute Markets team who own the Australia market strategy and government relationships. This is not an established leasing org; you'll be building process alongside execution.

Responsibilities:

• Lead the RFP and commercial sourcing process for Australian data center deals, managing developer outreach, proposal evaluation, and competitive selection
• Negotiate term sheets and manage the LOI process, structuring commercial terms that meet Anthropic's technical and business requirements while maintaining strong developer partnerships
• Create the bridge from LOI to executed transaction, ensuring all commercial, technical, and legal requirements are satisfied for deal closure
• Serve as project manager for cross-functional stakeholder engagement , coordinating due diligence teams, internal and external legal counsel, network organization, platform engineers, and finance to ensure alignment prior to lease execution
• Act as the single point of contact for auxiliary organizations including networks, deployments, and government relations, providing regular updates on transaction progress and leasing status
• Develop and maintain transaction timelines, tracking critical-path items and proactively identifying risks that could impact deal closure
• Ensure all stakeholder requirements are captured and addressed in commercial agreements, translating technical and operational needs into contractual terms
• Manage complex digital infrastructure development activities to a construction-ready state, through a developer or directly
• Marry the right projects, capital stacks, and developers at the right stages
• Document and refine transaction processes and playbooks to enable scalable deal execution as Anthropic expands its infrastructure footprint in region
• Partner with the Compute Markets Manager to prioritize sites and counterparties, and feed deal learnings back into Australia market strategy

You may be a good fit if you:

• Have 10+ years of experience in transaction management, commercial real estate, data center leasing, or infrastructure procurement
• Possess a proven track record of managing complex, multi-stakeholder transactions from sourcing through execution
• Have strong negotiation skills with experience structuring term sheets, LOIs, and commercial agreements
• Excel at project management and can coordinate across legal, technical, finance, and operational teams simultaneously
• Have experience with RFP processes and competitive sourcing for large-scale infrastructure or real estate transactions
• Have experience working in or with Australian markets, with knowledge of the local real estate and development landscape
• Are highly organized with strong attention to detail while maintaining focus on strategic deal objectives
• Can operate effectively in fast-paced, ambiguous environments where processes are being built alongside execution
• Demonstrate exceptional communication skills and can coordinate effectively across time zones with HQ-based teams and external partners

It's a bonus if you:

• Have experience with data center or hyperscale infrastructure transactions specifically
• Come from the development side of the industry rather than traditional brokerage/leasing , you understand how DC development works and how value is created (yield-on-cost, cap rates, development fees)
• Understand technical requirements for AI/ML workloads including power density, cooling, and network connectivity
• Have worked with legal teams on complex lease negotiations or infrastructure agreements
• Understand utility coordination, power procurement, or energy considerations in data center transactions, particularly in the Australian context (NEM, grid connection)
• Have relationships within the Australian data center developer and broker ecosystem
• Have a background in corporate development, strategic partnerships, or infrastructure investment
• Have experience in high-growth technology companies managing infrastructure expansion

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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Your responsibilities will include:

Architecting and owning the ML foundations for commerce discovery: user, item, and interaction embeddings that power personalized recommendations across shop surfaces (homepage, cart, post-purchase, wishlist, and more).

Designing and deploying scalable real-time recommendation and ranking systems that support a growing catalog of 1P and 3P items across heterogeneous game publisher inventories.

Building ML-powered marketing targeting systems that identify the right users for the right campaigns , new buyer discounts, drop campaigns, weekly deals, and seasonal promotions , driving conversion without conditioning users to wait for discounts.

Leveraging Discord's unique social graph to build social commerce ML: gifting recipient prediction, group buying conversion modeling, and friend-group recommendations that differentiate Discord from traditional game storefronts.

Driving deep learning A/B testing infrastructure and model monitoring to translate experimentation results into actionable product decisions.

Partnering closely with Shop, Game Commerce, Revenue Infra, ML Infra, and Data Engineering teams to define ML requirements, surface integration points, and influence the commerce roadmap.

To be successful in this role, you will need:

4+ years of experience as a Machine Learning Engineer, with a track record of owning and shipping recommendation or personalization systems end-to-end.

Deep expertise in applied deep learning , particularly embedding models, two-tower architectures, and retrieval/ranking systems for e-commerce or content recommendation.

Strong proficiency in Python and deep learning frameworks (PyTorch preferred).

Experience building and operating real-time ML serving infrastructure at scale, including feature stores, model serving, and A/B testing frameworks.

Demonstrated ability to work in early-stage, high-ambiguity environments and build ML systems from the ground up, not just improve existing ones.

Experience translating ML evaluation metrics and experiment results into product roadmap decisions and business impact.

Strong cross-functional instincts , you're comfortable partnering with product, engineering, data science, and business stakeholders to align on priorities and drive execution.

Bonus skills include experience applying graph ML or social network signals (social affinities, community behavior) to recommendation or personalization problems, familiarity with personalized marketing systems: lifecycle targeting, audience segmentation, and campaign optimization, and familiarity with loyalty, rewards, or incentive programs.

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