We are seeking a highly skilled Solution Engineer II to join our team at AVL Test Systems, Inc. in Plymouth, MI. As a Solution Engineer II, you will provide technical support for business development & sales activities for vehicle, brake, powertrain & eAxle testbeds.

Key Responsibilities: -------------------

• Utilize mechatronic measurement & testing platform software and chassis dynamometer testing devices to analyze product & technical specification requirement needs of customers
• Research legislative requirements & new specifications for products to identify new target markets
• Liaise with engineering, production & sales teams on customer technical specification needs
• Create software, hardware & technical services solutions
• Design studies for emissions & energy test labs in accordance with ISO 17025 standards
• Develop benchmarking & competitors reports

Requirements: ------------

• Bachelor’s degree in Business Information Systems, Computer Science or a related field
• 5 years of experience in job duties as stated

Benefits: --------

• Competitive compensation and benefits package

Travel: ------

• 20% travel to clients throughout the U.S.
• May require the individual to work at various unanticipated client locations throughout the U.S.

How to Apply: -------------

Send resume to AVL Test Systems, Inc., Attn: Sarah Reeser, 47519 Halyard Drive, Plymouth, MI 48170. Please reference SEVB in response.

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The Operations intern under the direction of the Manager of Business Operations will also be responsible for exploring new channels of business such as gaming and or eSports to expand our business and revenues.

This position requires the candidate to work a full-time work schedule Monday through Friday in an in-person office setting. The hourly range for this role is $18/hr-$20/hr.

Roles & Responsibilities

Primary Responsibilities:

• Working with the PEC management team to support drive operations, retail store, sim lab, food & beverage, special events
• Materials logistics reordering experience centre supplies
• Vehicle Operating Costs reporting and tracking
• Basic accounting, purchasing and invoice processing
• Monitoring analytics and reporting on drive experience purchasing trends/customer engagement
• Business Writing and Process documentation
• Assisting with reporting and presentations
• Assisting the team with events as needed
• Assist with fleet management and vehicle display strategies
• CRM analysis and strategy development for business growth

Qualifications

• Bachelor degree in or Business (Administration, Management), Hospitality, Entrepreneurship or International Business
• Junior Class level currently pursuing a bachelor's degree in Marketing, Business, International Business or a related area

Personal skills:

• Fluency in English (oral/written)
• Excellent verbal and written communication skills
• Good time management
• Highly organised
• Customer-oriented mindset
• Works well without close supervision
• Excellent interpersonal skills
• High possession of Porsche passion

Technical Skills:

• Proficient in Microsoft office products, namely Excel and PowerPoint
• Knowledge of online gaming platforms

Physical requirements

• Must be able to lift 15 pounds at times.
• Occasional office organisational work consisting of lifting boxes and lightweight equipment.
• While performing the duties of this job the employee is required to talk, hear, walk, sit, stand, and climb stairs on occasion with prolonged periods of sitting at a desk and working on a computer.
• Must be able to effectively work and complete tasks in an open office/noisy environment.

Direct reports

• PEC Atlanta Manager of Business Operations

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The internship will start in June and last for 5-6 months. You will have high levels of autonomy and flexibility in your work, with opportunities to gain insights into various areas of the company. Our active community of interns will provide you with support and guidance throughout your time with us.

To succeed in this role, you will need to have excellent analytical and problem-solving skills, as well as strong communication and teamwork abilities. You should be proficient in using Microsoft Office applications, particularly Excel, and have experience with data analysis and visualisation tools. Familiarity with programming languages such as Python or R would be an advantage.

If you are looking for a challenging and rewarding internship opportunity that will help you develop your skills and knowledge in the field of digitalisation, we encourage you to apply.

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In addition, you will prepare several data-driven reports for internal and external decision-making, handle incoming quotations and invoices, and coordinate with Finance. You will also support digital transformation programs, including the adaptation of AI across the organisation, and prepare documentation, steering materials, and project updates.

The ideal candidate will have an undergraduate degree in Business, Marketing, Economics, Data Analytics, Information Systems, Data Science, or AI, and strong analytical and structured work approach. Proficiency in Excel is also required. You should have an interest in digital platforms, CRM, and customer experience, and be able to manage tasks independently and prioritise effectively.

As a team-oriented mindset with strong intercultural understanding, you will be fluent in written and spoken English and willing and keen to learn new tools, systems, and data-related skills.

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As a Praktikant (all genders) Knowledge Management, you will have the opportunity to work on various projects and tasks, including:

• Creating and preparing content for internal knowledge sharing, such as audibles and digital learning formats
• Conceiving and generating KI-based training videos
• Conducting research on companies, markets, trends, and technologies
• Preparing and presenting findings in reports and presentations
• Evaluating and recommending new digital tools and KI solutions for knowledge management and content creation

We are looking for a highly motivated and organized individual with excellent analytical and communication skills. If you are interested in working in a dynamic and innovative environment, please apply for this position.

As a Praktikant (all genders) Knowledge Management, you will have the opportunity to work on various projects and tasks, including:

• Creating and preparing content for internal knowledge sharing, such as audibles and digital learning formats
• Conceiving and generating KI-based training videos
• Conducting research on companies, markets, trends, and technologies
• Preparing and presenting findings in reports and presentations
• Evaluating and recommending new digital tools and KI solutions for knowledge management and content creation

We are looking for a highly motivated and organized individual with excellent analytical and communication skills. If you are interested in working in a dynamic and innovative environment, please apply for this position.

The ideal candidate will have:

• A degree in Business Administration, Economics, Computer Science, or a related field
• Excellent analytical and communication skills
• Experience in content creation and video production
• Knowledge of KI-based tools and platforms
• Strong organizational and time management skills
• Ability to work independently and as part of a team

If you are interested in this position, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!

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The ideal candidate will have hands-on experience developing applications using SAP UI5, strong knowledge and practical project experience with OData services, and proficiency working with Fiori elements for application development. Familiarity with SAP CAP (Cloud Application Programming Model) and experience with SAP Business Technology Platform (BTP) services are also desirable.

This is a full-time position with a salary range of €60,000 - €80,000 per year, depending on experience. The employment contract is unlimited, and the line of work is consulting. The language skills required are fluency in written and spoken English. Flexibility and willingness to travel are also essential.

If you are a motivated and experienced SAP UI5 developer looking for a new challenge, please apply now!

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Key responsibilities include:

• Design, develop, and deploy integration flows in SAP Cloud Integration (CPI)
• Lead or support the migration of integration scenarios from SAP PI/PO to SAP CPI
• Work with a variety of communication protocols and interface types
• Collaborate with functional and technical teams to support testing scenarios
• Perform end-to-end validation and testing of integration flows
• Leverage capabilities of SAP Business Technology Platform (SAP BTP)

Requirements include:

• Hands-on experience with SAP Cloud Platform Integration (CPI/CI)
• Proven experience with SAP Process Integration / Process Orchestration (PI/PO)
• Adaptability and curiosity
• Excellent communication skills
• Capable of independently managing integration flows and processes end-to-end
• Strong team player

Nice to have basic knowledge of SAP core modules, familiarity with SAP Business Technology Platform (SAP BTP), and understanding of ABAP Interfaces and their role in SAP integration landscapes.

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As a full-fledged team member in the Personnel department, you will support us in our daily business with your engagement.

The internship will start in August 2026 and last for 6 months. You will work 35 hours per week.

Requirements:

• Currently studying Business Psychology, Business Administration or a comparable course with a focus on personnel and a passion for personnel development
• Good knowledge of MS Office
• Fluent in German (B2 level) and good in English
• Motivated to work in a team with helpful and friendly colleagues, demonstrating your excellent communication skills and customer orientation
• Strong analytical and conceptual skills, as well as independent working style

Note: A valid matriculation at a university or college (or currently in a gap year) is required.

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Your tasks will include:

• Leading and developing the Practice Data Science & AI Engineering - technically and disciplinarily - and scaling teams, structures, and competences
• Being responsible for the strategic further development of our AI portfolio - especially in the areas of machine learning, computer vision, physical AI, and quantum computing
• Defining technical standards and reference architectures for AI, vision, and edge systems
• Identifying new use cases (e.g., visual quality inspection, autonomous systems, intelligent sensors, generative design) and developing scalable solutions for our customers
• Driving business development forward, developing offer portfolios, and supporting presales through technical solution designs
• Being responsible for expanding your team and managing the economic steering of the practice (e.g., utilization, growth, profitability)

To be well-prepared for your path, you should have the following qualifications:

• Completed studies and several years of experience in building and leading technical teams or practices
• Passion for implementing complex AI or vision projects and technical solution design and presales
• Expertise in relevant technologies such as Python, TensorFlow, PyTorch, OpenCV, Kubernetes, and cloud or edge platforms (AWS, Azure, GCP)
• Knowledge in machine learning, AI systems, and computer vision and physical AI
• Your work style is characterized by analytical thinking, leadership, pragmatism, and strong team and customer orientation

Important information before departure:

• Start date: after agreement - always at the beginning of a month
• Working hours: full-time (40 hours) and/or part-time possible; 30 vacation days
• Employment relationship: Unlimited
• Field: Consulting
• Language: Secure German and English
• Flexibility and travel readiness
• 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 a global presence and a team of over 3,000 experts. MHP's mission is to drive excellence and sustainable success, and the company is committed to delivering high-quality services and solutions to its customers.

At MHP, you will have the opportunity to grow and develop your skills in a dynamic and supportive environment. We offer a range of benefits, including flexible working hours, a comprehensive training program, and opportunities for professional development. Our team is passionate about innovation and customer satisfaction, and we are committed to making a positive impact on our customers' businesses.

If you are interested in this opportunity, please submit your application through our job locator. We look forward to hearing from you!

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The following tasks await you:

• Implementation and configuration of Ivalua modules
• Consulting with the customer to analyze, optimize, and redesign sourcing and procurement processes
• Requirements analysis, conducting workshops, and discussing options and best practices with business and IT stakeholders
• Designing functional and technical solution concepts based on Ivalua
• Leading workstreams or sub-projects, ensuring timelines, budgets, and quality are met
• Contributing to pre-sales and practice development activities

To be well-prepared for your path as a Senior Consultant Ivalua, you bring the following qualifications:

• A completed degree and at least 3 years of professional experience in consulting, with deep expertise in Source-to-Pay (S2P), procurement, and supply chain processes, supported by hands-on experience with digital procurement platforms and transformation projects.
• Passion for consulting, as well as for stakeholder management and cross-functional collaboration.
• Expertise in Ivalua platform configuration, including advanced administration and technical capabilities, supported by L3 certification, SaaS architecture understanding, and ERP integration experience.
• A working style characterized by confident presence as a trusted advisor, ownership of delivery responsibilities, and contribution to proposal preparation.

Important Information Before Departure:

• Start: By agreement - always at the beginning of a month
• Working hours: Full-time (40h); 30 vacation days
• Employment type: Permanent
• Area: Consulting
• Language: Fluent in English & German at least B2
• Flexibility & willingness to travel
• Other: A valid work permit; if needed, we can apply for the work permit as part of our recruiting process. The procedure takes time and may affect the start date.

As a technology and business partner, MHP digitizes its clients' processes and products and supports them in their IT transformations across the entire value chain. As a pioneer in digitalization in the Mobility and Manufacturing sectors, MHP transfers its expertise to a wide range of industries and serves as the premium partner for thought leaders on the journey toward a Better Tomorrow.

Worldwide, MHP serves over 300 clients, including leading corporations and innovative mid-sized companies. MHP provides both operational and strategic consulting, delivering proven IT and technology expertise as well as specific industry knowledge. Operating as OneTeam, MHP works internationally, with headquarters in Germany and subsidiaries in the USA, UK, Romania, and China.

For 25 years, MHP has been shaping the future together with its clients. Over 3,000 MHPers are united by the pursuit of excellence and sustainable success. This commitment drives MHP forward - today, tomorrow, and in the future.

At MHP, you grow continuously in an innovative and supportive environment. This makes us the perfect sparring partner for your career - both for professional input and networking opportunities. Among other things, we offer you:

• Appreciation: We support and value our colleagues as they are and celebrate our successes together.
• Creativity: We always welcome new ideas and fresh impulses.
• Flexibility: In terms of time and location - depending on the project, from home, in the office, or at the client site.
• Growth opportunities: With us, you have the chance to develop in your tasks, your expertise, and your responsibilities.

A comprehensive overview of our benefits can be found here.

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Your responsibilities will include designing, developing, and maintaining business solutions using the Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse). You will build and enhance both model-driven and canvas Power Apps that align with business requirements. Additionally, you will develop and configure Dynamics 365 solutions, working with out-of-the-box capabilities as well as custom extensions.

You will also implement business process automation with Power Automate, including integrations with D365 and external systems. Furthermore, you will design and maintain Power BI dashboards and reports that enable data-driven decision making. You will support data and document migration activities for Dynamics 365 and Dataverse.

You will participate in requirements workshops and translate business needs into technical solutions. You will collaborate with cross-functional and international teams in a SAFe/Agile environment. You will ensure solution quality, security, performance, and maintainability by following best practices.

You will provide technical input, documentation, and support throughout the solution lifecycle. You will act as a trusted technical contributor for customers and internal stakeholders.

To succeed in this role, you will need to have successfully completed a Bachelor's or Master's degree in Information Technology or an equivalent education. You will also need to have at least 2–5 years of experience developing solutions with Microsoft Power Platform and/or Dynamics 365.

You will need to have hands-on experience with Power Apps (model-driven and/or canvas), Power Automate, Dataverse, Power BI, and Power Virtual Agents. You will also need to be experienced in configuring and customizing Dynamics 365, whether on-premises or in the cloud.

You will need to have a solid understanding of ETL concepts, data modeling, and system integrations. You will also need to have worked with Dynamics 365 integrations and data exchange between systems.

You will need to be familiar with licensing concepts for both the Power Platform and Dynamics 365. You will also need to be able to explain technical solutions in clear, business-friendly language.

You will demonstrate strong analytical, problem-solving, and organizational skills. You will speak English fluently, and German is considered an advantage.

You will communicate effectively, collaborate well in teams, and have a strong commitment to delivering high-quality engineering services to customers.

You are willing to travel when required.

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

The Power Platform & SharePoint Senior Developer will lead the design and implementation as well as support of applications using Microsoft Power Platform and SharePoint technologies. This role requires independent execution and leadership of moderate to highly complex Power Platform and SharePoint solutions, including translating business requirements into technical implementations, exercising judgment within established standards, and resolving non-routine issues with minimal oversight. The role supports multiple users and projects, interacts directly with business stakeholders, and has project-level impact beyond individual tasks.

Key responsibilities include leading development of Power Apps (Canvas) and Power Automate workflows to support business processes, correlating with design and other parts of HDMA and AHM-IT to understand requirements and use cases, configuring and customizing SharePoint Online sites, lists, libraries, and forms, enhancing existing applications and workflows based on defined requirements, developing basic integrations between Power Apps, SharePoint, and Microsoft 365 services, managing project timeline, schedule, and output, providing guidance to requestors on agile solution development, and performing and leading unit testing and support system testing activities.

The ideal candidate will have a Bachelor’s degree or equivalent experience, 5+ years of relevant experience, including SharePoint and/or Power Platform, experience in developing Power Apps, Canvas apps and Power Automate flows, strong problem-solving and analytical skills, ability to comfortably navigate uncertainty, effective technical documentation and communication presentation abilities, strong interpersonal and communication skills, experience installing and configuring SharePoint solutions, and general knowledge in designing and implementing SharePoint work flows, event handlers, Site Columns, Content Types, Custom Document Libraries, Lists, Site Definitions, Timer Jobs, Master Pages using Visual Studio and SharePoint Designer.

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Key responsibilities include designing, developing, and maintaining business solutions using the Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse), building and enhancing both model-driven and canvas Power Apps, developing and configuring Dynamics 365 solutions, implementing business process automation with Power Automate, and supporting data and document migration activities for Dynamics 365 and Dataverse.

The ideal candidate will have successfully completed a Bachelor's or Master's degree in Information Technology or an equivalent education, with at least 2–5 years of experience developing solutions with Microsoft Power Platform and/or Dynamics 365. They will also have hands-on experience with Power Apps (model-driven and/or canvas), Power Automate, Dataverse, Power BI, and Power Virtual Agents, as well as a solid understanding of ETL concepts, data modeling, and system integrations.

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Your primary responsibilities will include analyzing, troubleshooting, and resolving production incidents across mainframe and web-based applications, developing, enhancing, and maintaining applications using JCL, COBOL, VSAM, REXX/clists, Dialog Manager, and related technologies, creating detailed technical specifications for system modifications, upgrades, and modernization initiatives, and supporting and administering enterprise applications.

In addition to your technical skills, you will also be responsible for providing user support, training, and how-to guidance, configuring and maintaining user access/security roles, and participating in vendor evaluation, coordination, and lifecycle management activities.

If you have a strong background in software engineering, excellent problem-solving skills, and the ability to work effectively in a team environment, we encourage you to apply for this exciting opportunity.

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The ideal candidate brings hands-on metrology experience, is comfortable working in a manufacturing and tooling environment and enjoys collaborating with Engineering and Production teams to ensure that tooling and aircraft components meet engineering and aerodynamic requirements.

You will use advanced measurement technologies,including laser trackers, 3D scanners, and metrology arms,to verify tooling and aircraft components, support Production activities and provide clear analytical feedback to internal customers both in written and verbal forms.

Key responsibilities include:

Performing dimensional measurement and verification of tooling, fixtures, jigs, and aircraft components using laser trackers, portable metrology arms, and 3D scanning systems. Collecting, analysing and interpreting measurement data to verify conformance to engineering drawings, aerodynamic specifications and CAD models. Generating clear analytical and graphical inspection reports for Engineering and production stakeholders. Supporting development of measurement strategies, including selecting appropriate metrology equipment and methods for Tooling and specific applications. Maintaining and monitoring metrology equipment to ensure accuracy, calibration and operational readiness.

Additionally, you will provide hands-on support of tooling build, assembly and adjustment activities for tight-tolerance fixtures and tooling systems, assist Production teams with fixture setup, alignment, and troubleshooting, collaborate with Tooling machinists, Engineers, and Production personnel to develop practical measurement and tooling solutions, and work with limited supervision while managing assigned measurement and support activities.

What you will learn includes advanced aerospace metrology techniques and best practices, tooling build philosophies and manufacturing processes, measurement data analysis and interpretation, and use of multiple metrology systems and CAD platforms in a production environment.

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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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As part of the team, you will help solve complex business problems by developing viable cutting-edge AI/ML solutions.

You will develop and implement creative solutions that fundamentally transform business processes, delivering breakthrough improvements rather than incremental changes.

You will work closely with other AI/ML researchers and engineers, SWEs, product owners/managers, and business stakeholders, and participate in the full lifecycle of solution development, including requirements gathering with business, experimentation and algorithmic exploration, development, and assistance with productization.

Key Responsibilities:

• Work independently or as part of a team to help design and implement high accuracy and delightful user experience solutions utilizing ML, NLP, GenAI, Agentic technologies.

• Participate in all aspects of solution development, including ideation and requirement gathering with business stakeholders, experimentation and exploration to identify strong solution approaches, solution development, etc.

• Prototype, test, and iterate on novel AI models and approaches to solve complex business challenges.

• Collaborate with cross-functional teams to identify opportunities where AI can create significant business value, and transition solutions into production systems.

• Research and stay updated with the latest advancements in machine learning and AI technologies.

• Participate in code reviews, technical discussions, and knowledge sharing sessions.

• Communicate technical concepts and transformative ideas effectively to both technical and non-technical stakeholders.

Required Skills & Qualifications:

• Bachelor's with 10+ years, Master's with 7+ years, or PhD with 5+ years in Computer Science, Data Science, Machine Learning, or related field.

• Deep expertise and proven ability in developing high accuracy/value solutions to business problems in the NLP, Generative AI, Agentic AI, and/or ML space.

• Hands-on experience with data processing, experimentation, and exploration.

• Strong programming skills in Python.

• Experience with cloud platforms (AWS, Azure, GCP) for deploying ML solutions.

• Excellent problem-solving skills and attention to detail.

• Strong communication skills to collaborate with technical and non-technical stakeholders.

• Ability to work independently and collaboratively.

Additional Preferred Skills & Qualifications:

• Understanding of the financial markets, including experience with financial datasets, is strongly preferred.

• Experience with ML frameworks such as PyTorch, TensorFlow.

• Familiarity with MLOps practices and tools such as SageMaker, MLflow, or Airflow.

• Previous experience working in an Agile environment.

Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. 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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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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The Senior Manager, Copay and Affordability programs is the organisational copay and ePA subject matter expert (SME), managing vendor relationships and contracts, overseeing program performance and audits, and partnering across cross-functional teams to ensure patients can access therapy efficiently and compliantly.

Key responsibilities include:

• Leading day-to-day operations of the copay assistance program, ensuring seamless patient and HCP experience, operational reliability, and adherence to all applicable laws, regulations, and internal policies.

• Managing copay and ePA vendors, including contract lifecycle, SOWs, KPIs/SLAs, QBR cadences, and performance remediation plans; driving continuous improvement and innovation.

• Maintaining compliant program design and execution, partnering with Legal, Compliance, Privacy, and Audit; developing and enforcing SOPs, monitoring plans, and issue management with timely CAPAs as needed.

• Analysing utilisation, affordability, and access trends; proposing and implementing strategies to improve patient activation, persistence, and cost-effectiveness while mitigating risk.

• Planning and executing internal/external audits of copay and ePA programs; overseeing sampling, documentation, findings, corrective actions, and sustainability checks.

• Owning budget planning and management for copay and ePA, including forecasting, accruals, invoice review/approval, reconciliation, and vendor billing accuracy; tracking ROI and unit economics.

• Defining and monitoring dashboards and reports for KPIs (e.g., enrollment, claims, activation rates, time-to-therapy, approval rates, patient discontinuations due to affordability, fraud indicators); translating insights into actions.

• Acting as the copay and ePA SME; responding to inquiries from internal partners (Market Access, Commercial, Patient Services, Compliance, Finance, IT) and escalating/resolve as needed.

• Overseeing ePA vendor operations, payer connectivity, coverage rules, and performance; ensuring alignment with hub workflow, field teams, and patient journey.

• Providing backup support to the broader access team, including reimbursement hub operations, case management processes, and issue triage for patient support services.

• Identifying operational, financial, and compliance risks; leading mitigation strategies, contingency planning, and incident response for program interruptions or data issues.

• Maintaining program documentation, business rules, and change logs; delivering training and communications for field teams, hubs, and internal stakeholders.

The ideal candidate will have a Bachelor’s degree in Life Sciences or relevant field and 7+ years in pharmaceutical patient support programs, market access, or specialty pharmacy/hub operations, including directly managing copay/ePA programs and vendors.

Key technical skills include:

• Deep knowledge of copay program design, claims processing, accumulator/maximizer dynamics, OIG guidance, and industry compliance expectations.

• Working knowledge of ePA workflows, payer connectivity, NCPDP standards, and integration with hubs/EMR/eRx platforms.

• Proficiency with program analytics (Excel/BI tools), KPI dashboards, and financial management (budgeting, forecasting, invoicing).

• Experience drafting and managing contracts, SOWs, SLAs, and governance structures.

Key competencies include:

• Compliance mindset with strong judgment and attention to detail.

• Vendor leadership and negotiation skills; ability to hold partners accountable.

• Problem solving and optimisation using data-driven insights.

• Stakeholder management and clear communication across cross-functional teams.

• Project management with the ability to manage multiple priorities and deadlines.

The annual base salary for this position ranges from $114,000 to $171,000, however base pay offered may vary depending on multiple individualised factors, including market location, job-related knowledge, skills, and experience.

In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive programme (salaried roles) or to receive a retirement contribution (hourly roles).

Benefits offered include a qualified retirement programme [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans.

Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employee will be in an ‘at-will position’ and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation programme) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

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As an intern, you'll get hands-on experience with real problems and have the opportunity to make a meaningful impact. You'll work on building and supporting data pipelines, digging into data quality, getting hands-on with cloud infrastructure, and exploring AI-assisted development.

Our team uses a range of technologies, including Redshift, Athena, DuckDB, Terraform, Docker, Jenkins, ELK, Grafana, Looker, OpsGenie, Kafka, Airbyte, and Fivetran. You'll have the chance to learn from experienced engineers and contribute to the development of our data systems.

In this role, you'll be part of a team that genuinely loves what they do and is passionate about building a better data foundation for Holidu. You'll have the opportunity to take responsibility from day one and develop through regular feedback.

We offer a fair salary, the chance to make a difference for hundreds of thousands of monthly users, and the opportunity to grow and develop through regular feedback. You'll also have access to a range of benefits, including a hybrid work policy, the chance to work from other local offices, and a corporate subscription to Urban Sports Club or a premium gym membership at a discounted rate.

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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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The successful candidate will join a global team responsible for designing and developing Equities Volatility, Risk, PnL, and Market Data systems.

You will work hands-on with other developers, QA, and production support, and will partner closely with Portfolio Managers, Middle Office, and Risk Managers.

We are looking for a very strong senior engineer with deep knowledge of equity derivatives products and their pricing and risk characteristics.

You must be a highly capable hands-on developer with a solid understanding of front-to-back trading system workflows, especially pricing and risk.

Excellent communication skills, strong ownership, and the ability to work effectively in a fast-paced, collaborative environment are essential.

Experience in Unix/Linux environments is required; exposure to cloud and containerization technologies is a plus.

Principal Responsibilities

• Design, build, and maintain real-time equity derivatives pricing and risk systems (including volatility and PnL components).

• Implement robust, scalable, and low-latency server-side components in a multi-threaded environment.

• Collaborate with portfolio managers, risk, and middle office to translate business requirements into technical solutions.

• Contribute to UI components as needed (and learn new UI technologies where required).

• Write clear technical documentation and maintain system design and support guides.

• Develop and execute automated tests using approved frameworks; ensure production quality and reliability.

• Provide level-3 support, troubleshooting, and performance tuning for production systems.

Qualifications & Skills

• 7+ years of professional experience as a server-side software engineer.

• Deep understanding of equity derivatives products (options, volatility products, exotics) and their pricing and risk measures (e.g., Greeks, PnL attribution).

• Strong experience with concurrent, multi-threaded, and low-latency application architectures.

• Expertise in Object-Oriented design, design patterns, and best practices in unit and integration testing.

• Experience with distributed caching and replication technologies.

• Solid knowledge of Unix/Linux environments is required.

• Experience with Agile/Scrum development methodologies is required.

• Exposure to front-end/UI technologies (JavaScript, HTML5) is a plus.

• Experience with cloud platforms and containerization (e.g., Docker, Kubernetes) is a plus.

• B.S. in Computer Science, Mathematics, Physics, Financial Engineering, or related field.

• Demonstrates thoroughness, attention to detail, and strong ownership of deliverables.

• Effective team player with a strong willingness to collaborate and help others.

• Strong written and verbal communication skills; able to explain complex technical and quantitative topics to non-technical stakeholders.

• Proven ability to write clear, concise documentation.

• Fast learner with the ability to adapt to new technologies and business domains.

• Able to perform under pressure, work with ambitious team members, and handle changing priorities.

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

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.

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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Based in Mount Vernon, US, the position leads a high-performing team that supports OSD platform teams and senior scientific experts, ensuring robust, reliable and innovative manufacturing performance across the product lifecycle.

In this role, the Senior Director Global OSD leads and develops a diverse technical organisation focused on delivering strong product and process performance for AstraZeneca’s commercial OSD portfolio. The position manages and coaches direct reports, building capability, engagement and succession while fostering a culture of continuous improvement and innovation.

As a key member of the North Americas Commercial Operations Leadership Team, the role shapes regional strategy, aligns cross-functional priorities and translates strategy into clear, actionable plans that drive value across the network.

The Senior Director is accountable for proactively managing product and process robustness, using data, AI and advanced analytics to generate insights and drive performance improvements.

The role develops and implements science and innovation strategies for OSD manufacturing, with particular emphasis on material science, pharmaceutics and new technology introduction in partnership with Manufacturing Technology and Product Development.

A critical part of the remit is to maintain a best-in-class technical support model for internal manufacturing sites and external partners, ensuring outstanding customer service and effective risk management.

The Senior Director sets clear direction, communicates with impact and influences at all levels to embed Lean principles, operational excellence and compliant ways of working across the function.

The role also carries financial accountability for the team’s budget, including headcount and revenue, ensuring resources are deployed effectively to deliver strategic priorities.

Operating confidently in a global environment, the Senior Director builds an organisation ready for future challenges and change, contributing significantly to the success of Operations and the commercial viability and availability of current products.

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The ideal candidate has experience working with social media for companies, strong communication skills, analytical skills, and a good understanding of various social media platforms. This is a full-time position with a competitive salary and opportunities for personal and professional development.

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Your primary focus will be on designing, executing, and optimizing upstream Lentiviral Vector (LVV) processes with a primary focus on suspension bioreactor platforms at clinical and commercial scales. You will contribute hands-on to experimental design, process characterization, and scale-up/tech transfer activities from research through IND enabling, partnering closely with Research, Analytical Development, CMC, Regulatory, Manufacturing, Quality, and external CDMOs.

Key Responsibilities:

• Plan and perform experiments to develop and optimize LVV upstream processes for suspension cell culture (transient or stable producer cell systems), targeting improvements in titer, quality, robustness, and cost.

• Execute unit operations across seed, production, and harvest interfaces; support scale-up strategies from bench to pilot and clinical scales; develop and use scale-down models for characterization and comparability.

• Design DOE studies, identify CPPs/CMAs, analyze data, and propose control strategies; document results in protocols and reports; maintain fit for-purpose knowledge records.

• Contribute to definition of design space, in-process controls, and operating ranges; trend process performance and drive troubleshooting, root cause analysis, and corrective actions.

• Prepare technical transfer packages and support transfers to internal GMP sites and CDMOs; align process documentation with cGMP principles for late-stage readiness.

• Work closely with Analytical Development on assay readiness and in process testing; partner with Manufacturing, Supply, and Quality to ensure operational feasibility and compliance.

• Apply Lean practices and digital tools for scheduling, data integrity, and reproducibility; track KPIs (titer, infectivity, impurity profiles, cycle time, right first time) and recommend improvements.

Qualifications:

• Education: Ph.D. in Chemical Engineering, Biochemical Engineering, Biotechnology, or related field with 1+ years of industry experience; OR M.S. with 4+ years; OR B.S. with 5+ years of hands-on industry experience.

• Experience: Hand-on experience developing suspension-based LVV upstream processes; familiarity with clinical/commercial scale considerations, process characterization, and technology transfer.

• Technical Skills: Proficiency in suspension cell culture, transfection/infection strategies, media/feed optimization, single-use rocking-platform and stirred-tank bioreactors, and upstream-harvest interfaces; working knowledge of statistical DOE and data analytics tools.

• GMP Readiness: Experience supporting cGMP interfaces (documentation, change control, sampling plans) and contributing to CMC sections or technical responses is a plus.

• Communication & Teamwork: Strong written and verbal communication skills; ability to work effectively in cross-functional, matrixed teams; demonstrated problemsolving and troubleshooting capability.

• Tools & Automation: Experience with single-use systems, process automation/PAT, and digital lab systems (ELN/LIMS) preferred.

Preferred Qualifications:

• Demonstrated success scaling suspension LVV processes to pilot/clinical scales and sustaining performance via monitoring and continuous improvement.

• Experience linking upstream parameters to analytical outcomes (titer, infectivity/potency, residuals/impurities) to guide process decisions.

• Contributions to regulatory filings (data tables, process descriptions) and participation in tech transfer to CDMOs or internal GMP sites.

• Experience implementing Lean/continuous improvement and robust documentation/knowledge management in PD labs.

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This role involves working across multiple functions (IBEX, IT, Sales, Brands, Compliance) to balance the immediate demands with future capabilities needed to deliver the US Business strategy.

The Associate Director will shape and deploy ongoing evolutions in AZ's CRM capability, especially with respect to enhancements in our omnichannel capabilities.

In exchange for a fast-paced environment, this role offers significant opportunities for leadership exposure and professional development.

Accountabilities:

• Strategic brand alignment: Possess a deep understanding of brand strategy, performance drivers, and unmet needs to co-create high impact initiatives for customer-facing teams.

• End-to-end orchestration: Coordinate across all IBEX stakeholders to deliver integrated, end-to-end solutions that align with brand objectives and field execution.

• Innovation: Partner closely with IT to maximise adoption and effectiveness of AstraZeneca technology solutions across customer-facing roles.

• Testing, deployment, and change governance: Plan, execute, and govern testing and deployment activities for new and enhanced CRM capabilities, ensuring readiness and minimal disruption.

• Process optimisation: Continuously identify and prioritise opportunities to streamline processes and improve efficiency across workflows and systems.

• Outcome orientation: Focus on business outcomes and customer-facing productivity to demonstrate impact beyond deployment.

• US market representation and scalability: Represent US market needs in 'CRM of the Future' initiatives and share best practices with global teams to shape scalable, market-relevant solutions.

Required skills:

• Bachelor's degree; preferably in a relevant subject area.

• 5+ years of pharmaceutical/biotech experience.

• Experience with Veeva, Salesforce or other CRM platforms.

• Ability to influence others without authority.

• Previous experience in a cross-functional, collaborative, problem-solving team environment.

Preferred skills:

• Pharmaceutical sales experience.

• Experience with development and support of CRM or other technology capabilities.

• Thought leader on current capability-building best practices.

• Knowledge of sampling as well as digital marketing and engagement capabilities.

• Proven capability in influencing a diverse network of senior leaders and stakeholders.

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In this role, you will play a pivotal part in building and enhancing Equity Volatility Risk and P&L system that supports our Equity Volatility Managers.

This is an exciting opportunity to work in a fast-paced hedge fund environment, where your contributions will directly impact trading performance and risk management capabilities.

The ideal candidate will bring a combination of technical expertise and business domain knowledge for developing robust, scalable systems.

Principal Responsibilities:

• Design, develop, and implement a robust risk system for Equity Volatility trading strategies.
• Build and maintain scalable, high-performance server-side application using Java and Spring Boot frameworks.
• Build and integrate exotic pricing models to handle pricing and lifecycle of the product.
• Provide level-3 support, troubleshooting, and performance tuning for production systems.
• Proactively address system bottlenecks and implement solutions to ensure the platform remains robust.
• Conduct code reviews and implement automated testing to ensure the reliability and quality of the system.
• Write clean, maintainable, and testable code, adhering to best practices in software engineering.

Qualifications/Skills Required:

• Proficiency in Java development with experience in building scalable, high-performance systems.
• Strong knowledge of Spring Boot and its ecosystem for developing microservices.
• Experience with Python for scripting and automation.
• Experience in distributed caching technologies (e.g. Ignite, or similar).
• Familiarity with containerization technologies (e.g. Podman, Kubernetes) and cloud computing platforms (e.g. AWS).
• Solid understanding of software development best practices, including version control (e.g. Git), CI/CD pipelines, and automated testing frameworks.
• Previous experience working with Equity Derivatives in a sell-side or buy-side firm.
• Strong understanding of equity derivative products such as options and futures.
• Some understanding of structured products in terms of pricing, lifecycle, and risk characteristics.
• Strong problem-solving skills and the ability to work effectively in a fast-paced, high-pressure environment.

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Our technology teams are looking for Software Engineers with C++, Python, or Java to design, implement, and maintain systems supporting our technology business functions.

Candidate is expected to:

• Work closely with technology teams to develop requirements and specifications for varying projects
• Take part in the development and enhancement of the backend distributed system
• Apply AI/ML (deep learning, natural language processing, large language models) to practical and comprehensive technology solutions

Qualifications/Skills Required:

• 2-5 years of experience working with C++, Python, or Java
• Experience with ML libraries, Pandas, NumPy, FastAPI (Python), Boost (C++), Spring Boot (Java)
• Must be comfortable working in both Unix/Linux and Windows environments
• Good understanding of various design patterns
• Strong analytical and mathematical skills along with an interest/ability to quickly learn additional languages and quantitative concepts
• Solid communication skills
• Able to work collaboratively in a fast-paced environment with a passion to solving complex problems
• Detail oriented, organized, demonstrating thoroughness and strong ownership of work

Desirable Skills/Knowledge:

• Bachelor or Master's degree in Computer Science, Applied Mathematics, Statistics, Data Science/ML/AI, or a related technical or engineering field
• Demonstrable passion for developing LLM-powered products whether that is through commercial experience or open source/academic projects you have worked on in your own time
• Hands-on experience building ML and data pipeline architectures
• Understanding of distributed messaging systems
• Experience with Docker/Kubernetes, microservices architecture in a cloud environment (AWS, GCP preferred)
• Experience with relational and non-relational database platforms

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Introduction to role

Cybersecurity sits at the heart of our IT strategy. As we move towards ambitious objectives, we are looking for individuals who focus on innovation to maintain a sustainable risk position against an evolving threat landscape, who recognise that adversaries may include organised crime syndicates or state-sponsored attackers, and who understand attackers' motivations and ways of working.

In this role, you will operate within AstraZeneca's global cybersecurity organisation, collaborating with and influencing multiple functions across China, India, Mexico, Sweden, the US and the UK. Ready to help defend a global enterprise where technology directly supports life-changing medicines?

Accountabilities

In this role, you will engineer cybersecurity solutions across cloud, on-premises and third-party collaboration environments, with a predominant focus on cloud and data. You will collaborate with other teams to perform, assess and evolve IT processes that intersect our cybersecurity priorities, ensuring security is embedded into how work gets done. You will map governance and compliance frameworks and their controls to technical implementation, shifting hardening processes as far left as possible in the lifecycle. You will leverage deep understanding of threats, weaknesses and vulnerabilities around cloud and data to help other areas respond promptly and effectively to contain breaches or address areas of concern. You will also contribute to continuous improvement by analysing incidents, refining standards and influencing architectural decisions that balance risk, performance and usability.

How will you use your expertise to raise the bar?

Essential Skills/Experience

• Minimum 10 years of experience
• Bachelor's Degree
• Must have broad enterprise IT experience with significant cloud and data exposure.
• Must have in-depth understanding of security and networking protocols, cryptography, and modern authentication and authorization protocols.
• Must have experience designing, deploying, and operating secure networks, systems, application and security architectures at scale.
• Must have experience configuring and managing cloud security services in an AWS, Azure and GCP at organisation at scale.
• Must have experience researching, designing, and implementing security policies, standards, and procedures, including those in cybersecurity frameworks such as MITRE ATT&CK, NIST CSF, NIST SP.800- 53, and NIST SP.800-61, as well as implementing cloud security reference architectures.
• Should have experience working in a software development and systems administration organisation, implementing DevSecOps and process automation.
• Should have the ability to conduct post-mortem on security incidents and take post-mortem data to drive uplift in policies, procedures, standards.
• Familiarity with CSPM, CNAPP, and Cloud EDR platforms
• Expertise with Microsoft Defender, Sentinel and Splunk

Desirable Skills/Experience

• Identify and articulate architectural trade-offs.
• Embed process, governance and security into workflow and technology.
• Design and implement software tools and services using modern programming languages.
• Manage and lead projects delivering prioritised initiatives at challenging deadlines.
• Exert positive influence in a matrixed organisation to drive technology evolution.
• Drive efforts to achieve process and technology improvement at scale.

The annual base pay for this position ranges from 136,044.00 - 204,066.00 USD Annual (80% - 120%). Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualised factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive programme (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles).

Benefits offered included a qualified retirement programme [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits including medical, prescription drug, dental, and vision coverage in accordance with the terms and conditions of the applicable plans. Additional details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employee will be in an 'at-will position' and the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation programme) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

AstraZeneca offers an environment where cybersecurity work has real-world impact on patients' lives, not just systems and data. Here, technology experts collaborate with scientists and business teams to unlock the potential of data, analytics, AI and machine learning, constantly experimenting with new approaches while keeping critical platforms secure. There is strong investment in digital capabilities, room to explore modern tools through initiatives like hackathons, and a culture that values curiosity, coaching and continuous learning so that every day brings opportunities to grow skills and shape both personal development and the future of healthcare technology.

If this role matches your skills and ambitions, apply now and help protect the digital foundations that enable life-changing medicines!

Date Posted 17-Apr-2026 Closing Date 03-May-2026

Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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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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Communicating Between Technical and Non-Technical Colleagues

As a Staff Data Engineer, you will communicate effectively with technical and non-technical stakeholders, support and host discussions within a multidisciplinary team, and be an advocate for the team externally.

Data Analysis and Synthesis

You will undertake data profiling and source system analysis, present clear insights to colleagues to support the end use of the data.

Data Development Process

You will design, build and test data products that are complex or large scale, build teams to complete data integration services.

Data Innovation

You will understand the impact on the organization of emerging trends in data tools, analysis techniques and data usage.

Data Integration Design

You will select and implement the appropriate technologies to deliver resilient, scalable and future-proofed data solutions and integration pipelines.

Data Modeling

You will produce relevant data models across multiple subject areas, explain which models to use for which purpose, understand industry-recognised data modelling patterns and standards, and when to apply them, compare and align different data models.

Metadata Management

You will design an appropriate metadata repository and present changes to existing metadata repositories, understand a range of tools for storing and working with metadata, provide oversight and advice to more inexperienced members of the team.

Problem Resolution

You will respond to problems in databases, data processes, data products and services as they occur, initiate actions, monitor services and identify trends to resolve problems, determine the appropriate remedy and assist with its implementation, and with preventative measures.

Programming and Build

You will use agreed standards and tools to design, code, test, correct and document moderate-to-complex programs and scripts from agreed specifications and subsequent iterations, collaborate with others to review specifications where appropriate.

Technical Understanding

You will understand the core technical concepts related to the role, and apply them with guidance.

Testing

You will review requirements and specifications, and define test conditions, identify issues and risks associated with work, analyse and report test activities and results.

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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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Key responsibilities include serving as the primary interface with trading business units, ensuring seamless technology operations, and proactively addressing issues. The ideal candidate will thrive in a collaborative environment, demonstrate a strong sense of ownership, and be passionate about providing world-class support to drive business success.

The role requires a minimum of 5+ years of progressive technical support experience in an enterprise-level environment, preferably within the financial industry. The ideal candidate will have strong knowledge of Active Directory and Exchange, familiarity with ITIL frameworks and tools such as ServiceNow, and proven experience with market data platforms and vendor integrations.

In addition to the above requirements, the successful candidate will be able to prioritize and perform under pressure in a fast-moving, constantly changing environment. They will also be able to maintain and expand technical knowledge through continuous learning, with a focus on delivering exceptional customer support.

This is an exciting opportunity to work at the heart of a fast-paced trading environment, where technology and business intersect. You will have the chance to collaborate with top-tier professionals, tackle complex challenges, and make a direct impact on the success of our trading operations.

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Principal Responsibilities:

• Develop and operate a recruiting platform for portfolio managers.
• Participate in the design of various functions for Salesforce CRM solution.
• Operate and further develop existing CRM and existing supporting products and applications.
• Develop interfaces between CRM software and other systems internal and external to Millennium.
• Lead the environment strategy as well as deployment strategy for the CRM solution.
• Stay up to date with the latest Salesforce releases, features, and best practices.

Qualifications/Skills Required:

• 10+ years of experience in Salesforce sales cloud development/support.
• 4-7 years software development experience.
• 3+ years of C#/.NET with proficiency in a web framework such as ASP.NET MVC.
• 2+ years of WebUI/JavaScript/HTML/CSS with proficiency in at least one web framework such as Angular, React/Redux, or Ember.
• In-depth knowledge of Salesforce Feedback Management, Salesforce Digital Experiences (Communities) and best practices.
• Drive AI Innovation: Proactively research, propose, and prototype AI-driven solutions that enhance business processes, customer experience, or operational efficiency within Salesforce.
• Track record of proposing or leading AI initiatives that resulted in measurable business impact.
• Experience building and consuming RESTful services.
• Experience building integration with third-party systems to a Salesforce CRM.
• Able to lead the Salesforce deployments.
• Design, customize and manage security entitlements for Salesforce sales cloud.
• Development experience in Microsoft SQL server, building complex SQL and stored procedures.
• Strong and effective interpersonal skills with proven ability to develop positive relationships with business partners.
• Highly analytical with good problem solving skills; able to work independently in a fast-paced 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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Accountabilities The Senior GMAL leads the design and execution of global product and disease area strategies, translating scientific insight and healthcare system understanding into clear, practice-changing medical plans. This includes shaping ambitious practice change initiatives that influence care pathways, market access, and treatment adoption across diverse geographies. The role is responsible for the global evidence generation strategy, from interventional trials (Phases 2–4) to real-world evidence programs, ensuring that clinical research, registries and RWE studies are aligned with brand, access and healthcare transformation objectives. It drives optimisation and communication of data across scientific platforms, ensuring differentiated evidence reaches regulators, payers and healthcare professionals in a timely and impactful way. A core responsibility is to blend advanced scientific expertise with digital skill, using digital health tools, analytics and data platforms to transform how evidence is communicated and how stakeholders are engaged. The Senior GMAL crafts compelling scientific narratives, leads digital dissemination of evidence, and safeguards accuracy, impact and compliance in all scientific communications. The role builds and sustains influential relationships across the healthcare ecosystem, including global and regional KOLs, professional societies, regulators, payers, patient organisations, digital innovators and health systems. It mobilises support for medical strategy and healthcare change initiatives, while mentoring cross-functional teams and encouraging scientific leadership and collaboration. The Senior GMAL also brings deep regulatory insight to the design of clinical trials and evidence programs, anticipating evolving regulatory and payer requirements to ensure robust, compliant data generation and communication. This includes guiding teams on regulatory expectations, shaping evidence packages for submissions and HTA processes, and ensuring that medical plans are fully integrated with commercial, access and lifecycle strategies. Throughout, the role acts with urgency, challenges the status quo, spots new opportunities in data and science, and leads teams through complex decision-making to deliver significant impact for patients worldwide.

Essential Skills/Experience

• Master’s degree in any field with at least 5 years of experience in the pharmaceutical industry (Medical, Marketing, R&D, Market Access), or extensive experience within a health system (clinical, pharmacy, pathway design, etc.)
• Demonstrated leadership in complex, global healthcare environments, including leading franchise/TA business in key markets, driving brand performance, and leading large, diverse teams.
• Significant expertise and strategic insight into healthcare system pathways, regulatory landscapes, market-shaping, and external stakeholder engagement.
• Consistent track record of internal and external network building, collaboration across geographies and matrix teams, and effective mentoring of junior colleagues or peers.
• Digital proficiency, maximising digital health tools and data platforms to advance evidence generation and communication.
• Deep understanding of patient care pathways, evolving treatment protocols, scientific literature, and contemporary approaches to healthcare transformation.
• Shown ability to guide, influence, and align diverse stakeholders,including thought leaders, regulatory bodies, patient groups, and payer organisations.

Desirable Skills/Experience

• Doctoral-level degree (MD, PhD, PharmD) in a relevant field.
• Recognised expertise in the relevant or related therapeutic area, often evidenced by a history of clinical practice, research leadership, or significant external engagement.
• Advanced experience designing, leading, and interpreting clinical research programs, including pivotal clinical trials (Ph2–Ph4), practice-changing RWE studies, and implementation of innovative evidence generation approaches.
• Broad experience beyond Medical Affairs; for example, prior roles in Marketing, R&D, or Market Access.
• Long-standing relationships with global KOLs, societies, regulators, digital health partners, and innovative healthcare organisations.
• Track record of launching new products or indications in multiple, diverse markets (e.g., US, China, EU), and successfully developing and delivering global medical strategies.

AstraZeneca offers an environment built on innovation and curiosity where difference is valued and questioning minds are encouraged to challenge convention; teams reflect the diversity of the communities they serve, work closely together across disciplines and geographies, embrace digital and data to solve complex challenges at pace, learn continuously through shared insight and feedback, and channel their entrepreneurial spirit into developing the next generation of therapeutics that improve outcomes for patients and society. If this role matches your experience and ambitions, apply now to join us on this journey! Are you ready to bring insights and fresh thinking to the table? Brilliant! We have one seat available, and we hope it’s yours. Apply today.

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We follow all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

The annual base pay for this position ranges from $243,586.40 - $336,379.60 USD , Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition, our positions offer a short-term incentive bonus opportunity; eligibility to participate in our equity-based long-term incentive program (salaried roles), to receive a retirement contribution (hourly roles), and commission payment eligibility (sales roles). Benefits offered included a qualified retirement program [401(k) plan]; paid vacation and holidays; paid leaves; and, health benefits.

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We are currently seeking an experienced professional to lead our software engineering team and drive practical improvement initiatives to address SDLC bottlenecks, inefficiencies, and friction points across teams.

Key responsibilities include:

• Partnering with Engineering, Platform, and Risk and Control stakeholders to improve delivery flow, change quality, stability, resiliency, and operational effectiveness.
• Defining and driving the adoption of DORA, SPACE, and broader engineering metrics to create visibility, support prioritisation, and improve performance outcomes.
• Establishing and maintaining automated reporting to provide clear views of current performance, root-cause analysis, trends, and recommended actions.
• Leading engineering and operational automation initiatives across areas such as testing, deployment, patching, recovery, and health checks.
• Creating and maintaining a central engineering knowledge space and operating cadence to support governance, transparency, and continuous improvement.

To be successful, you will have 12+ years of engineering experience across the full software delivery lifecycle, with strong engineering leadership capability and hands-on experience in coding.

You will also bring proven experience across engineering excellence, DevOps, platform engineering, SRE, or software delivery improvement roles, and demonstrate strong ability to identify SDLC bottlenecks, prioritise improvement opportunities, and convert insight into practical cross-team action.

Additional requirements include:

• Strong understanding of DORA metrics and good knowledge of SPACE or broader engineering productivity and developer experience measures.
• Solid knowledge of software development, testing, release management, incident management, service recovery, and operational resilience practices.
• Experience leading automation initiatives across testing, deployment, patching, recovery, and operational health checks.
• An AI-driven mindset, with the ability to identify practical opportunities to use AI to improve engineering efficiency, analysis, decision-making, and delivery effectiveness.
• Excellent analytical, communication, problem-solving, and delivery leadership skills.

You’ll achieve more when you join HSBC.

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Tonies is the world's leading interactive audio platform for children, with over 10 million Tonieboxes and 125 million Tonies sold globally. Our intuitive, screen-free system empowers children to learn and play independently in a safe and engaging way.

As Manager Digital Trust & Security, you will lead the strategic expansion of our security service offerings. You will bridge the gap between technical architecture and business-centric consulting, ensuring our digital infrastructure remains resilient while fostering consumer trust across our global operations.

Responsibilities:

• Strategic Governance & Architecture: Define the global security vision and design scalable architectures to mitigate complex cyber threats across our media and hardware footprints.
• Trust Infrastructure Management: Architect and manage the security technology stack, ensuring our global IT assets and infrastructures remain resilient against emerging threats.
• Proactive Risk & Compliance: Lead comprehensive vulnerability assessments and recommend mitigation strategies that align with industry standards such as ISO 27001.
• Operational Excellence: Oversee incident response lifecycles, from real-time resolution to deep-dive post-incident analysis and reporting.
• Security Culture & Training: Develop and execute global training programs to embed security awareness into the company DNA, ensuring compliance across all departments.
• Cross-Functional Leadership: Partner with Enterprise Architecture and Application Management to integrate security-by-design into every product and internal service.

What we are looking for:

• Expertise: Several years of leadership in security or service management within the technology or consumer electronics sector.
• Technical Breadth: Deep understanding of security frameworks, cloud security (AWS/GCP), and modern monitoring platforms.
• Strategic Mindset: Proven ability to translate complex security risks into actionable business insights for diverse stakeholders.
• Lateral Leadership: A collaborative leader capable of managing cross-functional initiatives in a fast-paced, global environment.
• Communication: Professional fluency in English and German is essential for our global coordination.
• Mandatory: Demonstrable expertise in at least two security domains, backed by relevant professional certifications.
• Preferred: Advanced credentials in Cloud Security or specialized standards like ISO 27001.

Why tonies?

Our benefits vary by location. The following benefits apply in Germany:

• Global Teamwork: We collaborate across departmental and country borders on our vision to bring the Toniebox into every child's room in the world.
• Come as you are: This applies not only to the dress code but also to everything else. Because only where you truly feel comfortable can you give your best.
• Mobility: Choose the option that suits you best - a Deutschlandticket (public transport ticket) for unlimited mobility, a monthly contribution for an office parking space, a leasing bicycle, or a remote work subsidy.
• Enhanced Security: Benefit from subsidies for company pension plans, occupational pension schemes, and occupational disability insurance.
• Rest & Time Off: Enjoy 30 days of paid annual leave as well as three additional days off such as Rosenmontag, Christmas Eve, and New Year's Eve. After one year of employment, you can also use up to 10 'toniecation days' (unpaid leave days).
• Continuous Learning: Benefit from our internal and external training opportunities as well as an individual learning budget to continuously expand your knowledge.
• Language Learning & Relaxation: Improve your communication skills with the language learning app Babbel and find relaxation through our access to the meditation app Calm.
• Discounts: Benefit from attractive discounts on our entire range of tonies products.

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This is the opportunity to start your career with a global leader committed to HealthForAll and HungerForNone. Bring your ideas, skills, and passion with you. Your career starts here.

Are you passionate about AI, data science, and behavioural insights? Join our Talent Impact team and apply your technical skills to projects that combine machine learning, generative AI, and behavioural science to improve how people work and develop. This internship offers hands-on experience in a supportive environment where you’ll learn, contribute, and make an impact.

Your tasks and educational objectives:

• Work with HR and behavioural data to create structured, analysis-ready datasets for people analytics.
• Support development and testing agentic AI workflows (including LLM-based tools) that support HR decision-making.
• Help to build and evaluate machine learning models to explore workforce trends, learning behaviours, and engagement.
• Together with team members, create dashboards and visualisations that turn complex data into actionable insights for HR and business partners.
• Apply modern data workflows using Databricks, GitHub Spaces, and cloud platforms (Azure or AWS).
• Collaborate with experienced mentors and participate in small experiments to measure impact and share findings.

Who you are:

• Python programming skills for data processing, modelling, and AI workflows.
• Hands-on experience with Generative AI (GenAI) or LLM-based systems (academic projects or internships count).
• Familiarity with cloud platforms (Azure or AWS), with a focus on Databricks and GitHub Spaces for collaborative development.
• Solid foundation in data science and machine learning.
• Strong interest in behavioural science, people analytics, and HR.
• Currently enrolled in a Master’s or advanced Bachelor’s program in data science, computer science, cognitive science, psychology, behavioural economics, neuroscience, or a related field.
• Curiosity, willingness to learn, and ability to work on-site in Leverkusen.
• Fluent English, written and spoken.

What we offer:

Our benefits package is flexible, appreciative, and tailored to your lifestyle, because what matters to you, matters to us!

• For a full-time position, you can expect an attractive salary of € 2,214 gross per month.
• Depending on the nature of your job, flexible work arrangements can be made in alignment with your manager.
• We support your growth through access to professional development and learning opportunities, such as LinkedIn Learning and our language learning platform Education First.
• As one of our perks, our Corporate Benefits program grants you access to sales discounts from more than 150 brands.
• We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.

Ever feel burnt out by bureaucracy? Us too. That’s why we’re changing the way we work, for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here https://www.bayer.com/en/strategy/strategy

Our Mission & Strategy:

Through Dynamic Shared Ownership, we’re putting an end to the hierarchical model and putting more power in the hands of the innovators and creators at Bayer. Ready to join us? Apply now and start your 6-month learning journey in Leverkusen!

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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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Principal Accountabilities and Responsibilities:

• Contribute to the provision of advisory services to GPS to support a clear understanding of Regulatory compliance risk exposure with respect to clients, transactions, and products.
• Maintain an effective control framework and ensure compliance with all relevant external laws & regulations, internal codes and policies and good market practices.
• Foster a strong risk and control and compliance culture, including ensuring adequate management focus and demonstrative “tone from the top” and proactive risk management.
• Strengthen GPS knowledge of risk and compliance management by incorporating risk and compliance considerations in all activities undertaken to protect and enable the business’ activities through a robust risk management understanding.
• Act in accordance with HSBC’s purpose and values, being cognisant of all applicable local legal, fiscal, regulatory and shareholder requirements as they relate to the Regulatory Compliance sub-function and the operations of HSBC.

Qualifications:

• Bachelor degree required; advanced degree or certification (JD, MBA, CRCM, CAMS) preferred.
• Strong experience in financial services compliance, ideally in payments, digital banking or digital asset businesses.
• Strong working knowledge of OCC and FDIC rules, including guidance on third party-risk management, UDAAP, Reg R, Reg CC, customer protection, deposit operations and supervisory expectations for innovative banking activities.
• Experience supporting digital platforms and/or fintech integrations, with familiarity in blockchain or digital asset product is a plus.
• Ability to interpret complex regulations and communicate practical, business-aligned guidance.
• Excellent analytical, interpersonal and communication skills, with proven ability to influence stakeholders and operate in a fast-paced environment.

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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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This is a career-defining opportunity to build a modern, high-performing global application function from the ground up and influence how our technology supports growth, scalability, and operational excellence.

Responsibilities:

• Lead the SAP S/4HANA Transformation: Own the successful execution, deployment, and post-go-live support of our global ERP implementation, standardizing processes across all legal entities.

• Build a Global Application Function: Establish the organisational structure, talent, and sustainable operating model for a world-class, global Enterprise Applications department, balancing internal capabilities with external expertise.

• Define and Execute the Application Strategy: Develop the roadmap for our core business applications, including our CRM platforms potentially, ensuring they align with our expansion and new product initiatives.

• Drive Commercial Integration: Ensure seamless, robust, and scalable integration between the core ERP system and our customer-facing systems, particularly our Global E-Commerce Platform, to enable aggressive sales expansion.

Requirements:

• Builder-Leader track record: Proven experience building and leading an Enterprise Applications function within a startup or scale-up (or similar mid-market) environment. Strong track record of end-to-end ownership of initiatives, with the ability to operate seamlessly between strategy and execution in high-growth, fast-moving organisations.

• International Experience: You have a proven track record of managing globally distributed models and possess the cultural agility required to lead critical projects across diverse geographies.

• Proven ERP Transformation Success: Extensive, hands-on experience leading large-scale ERP and CRM implementations/migrations ($300M+ organisations), with a strong preference for SAP S/4HANA Cloud or comparable modern ERP systems.

• Enabling Leadership: Experience building support models and processes that balance agility and business needs with the need for security and operational stability, moving the organisation toward best practices.

• Business Acumen: Deep understanding of the core processes in a consumer electronics/media business (e.g., Order-to-Cash, Procure-to-Pay, Record-to-Report).

• Excellent Communication: A track record of successfully influencing and communicating complex technical and organisational topics to the C-suite and business stakeholders.

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Key responsibilities include providing sales support to licensed sales staff, preparing and completing sales documents, managing data input and report generation, and liaising with support functions to follow through client purchase process requirements. You will also have regular contact with clients regarding their accounts, under the direction of a registered securities representative, and enter orders for clients and open new client accounts at the direction of the registered representative.

To be successful in this role, you will have a strong understanding of the brokerage and banking industry, trading operations, banking products, and HSI's (HSBC Securities Inc. USA) brokerage products. You will also be registered or obtain approval for registration with the necessary States where registered representatives conduct business, and have good experience in the financial services industry. Additional requirements include knowledge of brokerage products and services, operations to support them, and pertinent regulations affecting their delivery, as well as Anti-Money Laundering and relevant regulatory governance in the US.

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, in a welcoming and inclusive work environment.

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You'll be part of our new Dynamic Pricing & Revenue Management team, working alongside a Data Scientist and a Data Analyst. Together, you will work towards one core goal: helping hosts improve occupancy and earnings through a smart, dynamic, and data-driven pricing strategy.

Our Tech Stack

• Data Storage & Querying: S3, Redshift (with decentralized data sharing), Athena, and DuckDB.
• ML & Model Serving: MLflow, SageMaker, and deployment APIs for model lifecycle management.
• Cloud & DevOps: Terraform, Docker, Jenkins, and AWS EKS (Kubernetes) for scalable, resilient systems.
• Monitoring: ELK, Grafana, Looker, OpsGenie, and in-house tools for full visibility.
• Ingestion: Kafka-based event systems and tools like Airbyte and Fivetran for smooth third-party integrations.
• Automation & AI: Extensive use of AI tools like Claude, Copilot, and Codex.

Your role in this journey

As a Data Ops 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.

Responsibilities

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

Benefits

• 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.

Experience

• 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.

How to apply

If you're excited about this opportunity, please submit your application on our careers page!

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As a Working Student, you will contribute to the development of new backend features across the ACE domain, assist with operational tasks, get hands-on with modern AI-assisted development, and support ongoing tech refactoring efforts.

You will work directly alongside senior engineers, take part in real product development, and gradually build ownership over meaningful parts of our codebase.

The ACE team works within Holidu's broader backend ecosystem, using Java/Kotlin with Spring Boot, PostgreSQL, Redis, and other data stores, as well as AWS services and Jenkins for CI/CD.

You will have the opportunity to attend team planning sessions, architecture discussions, and retrospectives, giving you a real window into how a senior engineering team operates in a high-growth company.

We offer a fair salary, impact, growth, community, flexibility, and fitness opportunities.

You will be required to work ~20 hours per week, with 1-2 days per week in the office in Munich.

You should be currently enrolled in a degree in Computer Science, Software Engineering, or a related field, have a solid understanding of object-oriented programming and basic software design principles, and some hands-on experience with Java or Kotlin.

You should also have familiarity with RESTful APIs and relational databases (SQL), a genuine curiosity for backend systems, and a product-minded attitude.

Excellent communication skills in English are required, and German is a plus but not required.

Bonus points if you have exposure to Spring Boot, cloud platforms (AWS), or any experience with identity/access management concepts.

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The Client Solution Architect role within the Client Solutions capability in Global Client Connectivity plays a critical role in bridging the gap between sales and delivery, ensuring clients receive tailored, technically robust global payment solutions, with seamless implementation of complex or newly commercialised product capabilities.

As a Client Solution Architect, you will be responsible for delivering technical and product solutions to top-tier clients across Global Payments Solutions (GPS) connectivity products. You will lead multiple global, complex projects to onboard clients to Client Connectivity channels, including HSBC net, APIs, SWIFT connectivity, and Host-to-Host (H2H) / file-based connectivity.

You will also lead technical client workshops to understand current-state processes and support automation goals across Accounts Payable, Receivables, Treasury, Payroll, and bank statements/reconciliation integration. You will provide pre-mandate technical support for Request for Information / Request for Proposals (RFI/RFPs) and solution proposals.

You will deliver integrated solutions that streamline workflows and optimise client Enterprise Resource Planning / Talent Management System (ERP/TMS) usage, proactively identify technical blockers, and drive resolution to protect timelines and client outcomes.

You will finalise product and technical solutions post-mandate, documenting the approach in a statement of work; partner with project management to build plans, identify risks, and manage dependencies.

You will communicate effectively with stakeholders at country, regional and global levels; act as liaison across Client Service, Sales/Coverage, Product and Information Technology (IT).

You will manage a varied portfolio of complex, global integration initiatives, including piloting new GPS products/services.

You will simplify and challenge existing processes, contribute to continuous improvement and client experience outcomes, and provide feedback to product teams on client requirements and competitive landscape to drive enhancements.

You will maintain an in-depth understanding of the financial and technical environment of clients' businesses and stay current on industry trends and payment regulation changes.

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To succeed in this role, you will need strong customer engagement skills, problem-solving abilities, and a willingness to collaborate with others. You will be passionate about delivering excellent customer experiences and have excellent communication skills, with the ability to put yourself in the customer's shoes. You will strive to contribute to a team that works every day to build strong and trusting relationships with our customers.

The ideal candidate will have more than six months of experience in a customer-facing role, whether it's telephone-based, retail-based, or something else. You will be methodical and comfortable working on digital platforms. You will be able to communicate clearly and concisely, with a positive attitude and a willingness to go the extra mile.

As a Polestar employee, you will have the opportunity to work in a dynamic and fast-paced environment, with a focus on innovation and growth. You will be part of a global team that is passionate about making a difference in the world, and you will have the chance to develop your skills and knowledge in a supportive and collaborative environment.

If you are a motivated and enthusiastic individual who is passionate about delivering exceptional customer experiences, we encourage you to apply for this exciting opportunity.

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Your key responsibilities will include:

• Managing and overseeing the end-to-end remarketing of company-owned vehicles, fleet vehicles, off-lease returns, and rental vehicles.
• Supporting corporate and commercial fleet sales programs, including lifecycle planning, policies, and pricing strategy.
• Developing and continuously enhancing Pre-Owned and Certified Pre-Owned (CPO) programs.
• Supporting with setting and adjusting of vehicle pricing based on Canadian market trends, macroeconomics, and KPIs.
• Crafting and developing customer-facing CPO and fleet offers that optimize volume and margin.
• Managing inventory for retail, wholesale, and fleet allocation, overseeing all inspections, auctions, logistics, and title transfer processes.
• Owning and maintaining vendor, auction house, logistics, and fleet partner relationships.
• Monitoring KPI's and providing insights to leadership on pre-owned and fleet program performance, making recommendations and enhancements as needed.
• Collaborating with sales, financial services, and Polestar retailers to deliver win-win pre-owned and fleet deals and initiatives.
• Performing ad hoc analysis on portfolio performance and residual value benchmarking.

To succeed in this role, you will need:

• A Bachelor's degree in business administration or related field.
• 5+ years of experience in automotive managing pre-owned programs, fleet, remarketing, or related position managing residual value setting.
• Previous automotive OEM experience required.
• Deep technical understanding of residual value mechanics (ALG, CBB, etc.).
• Excellent data and analytical literacy in large amounts of data and developing pricing models.
• Demonstrated experience driving pre-owned, remarketing, wholesale, or OEM fleet operations.
• Strong understanding of fleet sales models and vehicle lifecycle management.
• Familiarity with Canadian automotive digital platforms.
• Excellent communication skills both written and verbally.
• French language proficiency is an asset.

If you're interested in joining the Polestar family, don't wait with submitting your application. We apply a continuous selection process and the job post will be open until the position is filled.

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This role is responsible for designing and running the enterprise GTM architecture across RevOps, sales performance, and cross-functional execution, ensuring Scale's largest and most strategic accounts are engaged with rigor, consistency, and impact.

The GTM Architect will bring a strong point of view on how Scale engages enterprise accounts, how performance is measured, and how teams operate day-to-day to drive predictable growth. Over time, this role will have the opportunity to build and lead a GTM / RevOps team.

Responsibilities:

• Own and evolve Scale's enterprise GTM operating model, including account engagement strategy, funnel design, and sales execution standards

• Design and manage the enterprise RevOps systems stack (e.g., CRM, forecasting, reporting, planning tools) to support scalable growth

• Define, track, and operationalize core enterprise GTM metrics across pipeline health, deal velocity, forecast accuracy, and rep productivity

• Establish and run sales operating cadences including pipeline reviews, forecast calls, QBRs, and performance reviews

• Partner with Sales Leadership and Finance to design, implement, and maintain enterprise sales compensation plans, including quota governance and attainment reporting

• Build executive-level dashboards and reporting to support GTM decision-making and leadership visibility

• Serve as a strategic thought partner to Enterprise Sales leaders, bringing a strong opinion on how accounts should be covered, prioritized, and engaged

• Act as the connective tissue across Sales, Marketing, Finance, Product, and Solutions Engineering for enterprise GTM planning and execution

• Support annual and quarterly planning efforts including territory design, capacity modeling, headcount planning, and quota setting

• Ensure data integrity, process clarity, and operational discipline across all enterprise GTM motions

Ideally, You Will Have:

• 8–12+ years of experience in RevOps, Sales Ops, or GTM Strategy roles, with deep exposure to enterprise sales environments

• Experience supporting complex, multi-stakeholder enterprise sales motions in high-growth B2B SaaS or platform companies

• Proven ownership of sales systems, forecasting, and performance measurement at scale

• Hands-on experience designing and managing enterprise sales compensation plans and reporting

• Strong understanding of enterprise GTM metrics, planning cycles, and operating cadences

• A clear point of view on how enterprise accounts should be engaged and how to operationalize that engagement at scale

• Comfort influencing senior sales leaders and executives without direct authority

• Excellent written and verbal communication skills, including experience building executive-level materials and dashboards

• Strong command of GTM systems and tools (e.g., Salesforce, Clari, planning and reporting tools)

• High attention to detail paired with the ability to operate at a strategic altitude

• Demonstrated ability to operate as a senior IC with the ambition and capability to build and lead a team over time

• Technical curiosity or experience working alongside technical products and teams; familiarity with AI, ML, or data platforms is 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. 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.

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $176,000-$220,000 USD

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This role offers a rare opportunity to make a meaningful impact at the intersection of AI and national security. You will help build Generative AI data-labeling pipelines from the ground up, create operational processes to manage and optimize an in-house expert data workforce, and develop novel technology-driven approaches (e.g., scripts, prompt engineering, hybrid data) to improve the quality of our training and evaluation datasets.

Responsibilities:

• Develop, build, and maintain the infrastructure required to ensure data pipelines are efficient, scalable, and produce high-quality outputs
• Take ownership of day-to-day progress on high-priority data production pipelines, ensuring projects move forward efficiently
• Partner with subject matter experts in their fields to validate the quality of our data and to translate deep domain knowledge into scalable processes and measurable outcomes
• Work closely with customers to understand their requirements and design data taxonomies that optimize model performance
• Utilize analytics and data visualization tools to track progress, identify bottlenecks, and make data-driven decisions to optimize pipeline performance
• Influence cross-org collaboration to define and advance human data strategy, influencing technical and non-technical stakeholders to ensure data quality, scalability, and long-term platform leverage
• Own larger and larger components of our data delivery processes, until you ultimately serve as the full owner of our most visible and high impact customer pipelines

You have:

• 5+ years of experience in product development, data science, or operations
• A history of successful project management and comfort in ambiguity
• Ability to analyze complex operational data, build queries, and identify trends to inform decisions and optimize processes
• Technical aptitude to understand how to produce data for state of the art post-training techniques such as supervised fine tuning (SFT), reinforcement learning through human feedback (RLHF), Reinforcement Learning with Verifiable Rewards (RLVR) etc

Nice to have:

• Experience working in defense tech and/or an AI company
• A technical degree in fields like computer science, data science, or engineering
• A deep understanding of ML operations for generative AI workflows / products
• An active Top Secret security clearance

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.

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.

The base salary range for this full-time position in the location of Washington DC is: $169,600-$212,000 USD

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Scale is at the frontier of GenAI and human-AI collaboration. The Gen AI Ops Trust and Safety team is focused on safeguarding human authenticity and genuineness in AI training.

We are looking for a highly analytical Technical Program Manager (TPM) who leans heavily into fraud analytics and data-driven strategy to protect our ecosystem. This isn't a project management role. You will act as the lead investigative analyst and program owner for our fraud defense portfolio.

Your day-to-day will involve diving deep into complex datasets to uncover hidden fraud vectors, and then translating those analytical insights into scalable rules, policies, and operational programs. By utilizing AI coding tools at high velocity, you will build out analytics pipelines, dashboards, and detection logic to shift Trust and Safety from a reactive function to a strategic one that balances safety and growth.

Responsibilities

• Analyze large, messy behavioural events to identify ambiguous and constantly evolving fraud patterns across the contributor lifecycle.

• Translate your analytical findings into actionable detection logic. You will redesign rules, optimize thresholds, and decision flows to catch bad actors while minimizing friction for high-quality contributors.

• Establish robust KPIs, build tracking dashboards, and define offline evaluation frameworks (e.g., false positive monitoring, precision/recall analysis) to continuously measure the health of our risk strategy.

• Act as the connective tissue between data, operations, and engineering. You will use your analytical findings to implement technical execution, taking new detection capabilities from data prototype to production deployment.

• Leverage AI-assisted IDEs daily to rapidly write complex SQL queries, automate data pulls, and streamline your analytical workflows.

• Connect signals, data, and operations to see the full picture. Provide clear, direct communication regarding fraud trends and strategy shifts to both technical and non-technical partners.

Requirements

• 5-8 years of experience in risk strategy and fraud analytics. You have a battle-tested track record of reverse-engineering adversarial patterns, dismantling complex fraud vectors, and driving highly analytical Trust & Safety or TPM programs.

• Expert proficiency in SQL skills. You must be highly comfortable extracting insights from large datasets in noisy, adversarial environments.

• An execution-driven mindset focused on delivering measurable results, not just theoretical analysis. You are comfortable working in ambiguity and taking ownership from data problems to operational solutions.

• Strong proficiency with AI coding assistants to accelerate data exploration and query writing.

• Deep understanding of how to balance aggressive fraud detection with marketplace growth. You make decisions based on what's right for the business, not what's convenient.

Nice to haves:

• Solid Python skills (e.g., Pandas, NumPy) for advanced data manipulation and scripting

• Experience working in marketplace or gig-economy platforms is a plus

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.

Salary Range

The base salary range for this full-time position in the location of San Francisco is: $180,800-$226,000 USD

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. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

About Us

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.

We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com.

Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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You will partner with public sector clients to deeply understand their challenges and define AI-driven solutions.

Key responsibilities include:

• Building and deploying end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models
• Collaborating with cross-functional teams, including data annotation specialists, to create high-quality training datasets
• Designing and maintaining robust evaluation frameworks to ensure the reliability and effectiveness of AI models
• Participating in customer engagements, including occasional travel (approximately two weeks per quarter)

Ideally you'd have:

• A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
• 7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++
• 2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines
• Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
• Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets
• Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment

Nice to haves:

• Experience working at a startup, particularly as founding engineer
• Experience building and deploying large-scale AI solutions
• Strong written and verbal communication skills to operate in a cross-functional team environment
• Proficiency in Arabic (if focused on language models)

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Key responsibilities include:

• Owning product outcomes for our highest impact enterprise accounts
• Building trusted advisory relationships with VP/C-level buyers and senior technical leads
• Driving deployments from contract to production
• Translating real customer workflows, friction, and priorities into high-signal product input for core platform teams

Ideal candidates will have 6+ years of experience in product management, technical program management, or a customer-facing product ownership role, with a proven track record of shipping products or platform capabilities into large organizations. They will be comfortable operating with senior customer stakeholders (VP/C-level) and senior engineers simultaneously, and have strong judgment under pressure.

In addition to a competitive salary, we offer comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may also be eligible for additional benefits such as a commuter stipend.

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We are seeking a highly skilled Staff Software Engineer to join our Public Sector team. As a Staff Software Engineer, you will be responsible for designing and implementing software solutions for the public sector. You will work closely with cross-functional teams to develop and deploy software applications that meet the needs of government agencies.

Responsibilities:

• Design and implement software solutions for the public sector
• Work closely with cross-functional teams to develop and deploy software applications
• Collaborate with stakeholders to understand their needs and develop software solutions that meet those needs
• Develop and maintain software documentation
• Participate in code reviews and ensure that code meets quality standards

Requirements:

• Bachelor's degree in Computer Science or related field
• 5+ years of experience in software development
• Proficiency in programming languages such as Java, Python, or C++
• Experience with Agile development methodologies
• Strong understanding of software design patterns and principles
• Excellent communication and collaboration skills

Preferred Qualifications:

• Master's degree in Computer Science or related field
• 10+ years of experience in software development
• Experience with cloud-based technologies such as AWS or Azure
• Experience with DevOps practices

Benefits:

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

Salary Range: $252,000-$362,000 USD

Required Skills:

• Full Stack Development
• Cloud-Native Technologies
• Data Engineering
• AI Application Integration
• Problem Solving
• Collaboration and Communication
• Adaptability and Learning Agility

Preferred Skills:

• Experience with modern web development frameworks
• Familiarity with cloud platforms
• Understanding of containerization and container orchestration
• Knowledge of ETL processes
• Understanding of data modeling, data warehousing, and data governance principles
• Familiarity with integrating Large Language Models

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You will design and ship high-precision detections across cloud services and enterprise SaaS, develop automation that shortens response timelines, and mature the telemetry pipelines that make it all possible. Your ability to write production-quality code is just as important as your ability to triage an alert.

Responsibilities:

• Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance.

• Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity.

• Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity.

• Perform digital incident investigations to identify and contain potential security breaches.

• Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies.

• Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows.

• Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organisation.

• Utilize threat intelligence platforms to improve hunting, detection, and response workflows.

• Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders.

Ideal Candidate:

• 5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation.

• Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code , not just scripts.

• Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments.

• Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically.

• Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs.

• Familiarity with digital forensics tools and malware analysis techniques.

• Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate.

• Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows.

• Strong communication skills, with the ability to translate complex security findings into clear business impact.

• Relevant security certifications (e.g., GCIH, GCFA, GCIA, CISSP, GDSA) 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. 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.

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In this role, you'll be the connective tissue between our event strategy and the content that makes each experience resonate. You'll develop everything from keynote narratives and session abstracts to speaker preparation materials and post-event content, ensuring consistency and quality across Anthropic-owned events like Code with Claude, Anthropic Futures Forum, and our industry-specific programs.

This is an ideal opportunity for someone who thrives at the intersection of storytelling, event marketing, and program management,and who can translate complex AI concepts into accessible, engaging content for diverse audiences.

Responsibilities:

• Own the end-to-end content strategy and development for Anthropic's core marketing events, ensuring alignment with event objectives, brand standards, and company OKRs

• Develop compelling keynote narratives, session descriptions, speaker talking points, and presentation content that showcase Anthropic's products, research, and customer impact

• Create and manage speaker preparation materials, including briefing documents, rehearsal guides, and 'Know Before You Go' content for internal and external speakers

• Write and produce event marketing content across channels,including email campaigns, landing pages, social copy, and promotional materials,in partnership with broader marketing teams

• Build and maintain event content templates, toolkits, and best practices that can scale across a growing global events calendar

• Collaborate cross-functionally with product marketing, communications, developer relations, and sales teams to source stories, technical content, and customer narratives for event programming

• Manage content timelines and deliverables across multiple concurrent events, ensuring all materials meet quality standards and deadlines

• Develop post-event content including recap materials, highlight packages, and follow-up communications that extend the impact of each event

• Own the development of event programming and agendas, leading topic ideation, session sequencing, and content-mix decisions that create cohesive, engaging event experiences , balancing technical depth, audience diversity, and narrative arc for audiences including developers, enterprise leaders, startups, and partners.

• Identify, pitch, and secure external speakers for Anthropic events , including journalists, industry thought leaders, subject matter experts, and academics , managing the full outreach process from prospecting through confirmation and contracting

• Build and maintain long-term relationships with a diverse external speaker pipeline, positioning Anthropic events as a premier destination for top voices in AI and establishing ongoing partnerships that drive recurring speaker engagement across our events calendar

• Track content performance metrics and audience engagement to continuously refine event content strategy

You may be a good fit if you:

• Have 8+ years of experience in content marketing, event content development, or a related field, ideally within technology or B2B environments

• Have a demonstrated ability to develop compelling narratives and presentations for live events, conferences, or executive communications

• Are an exceptional writer who can distill complex technical concepts into clear, engaging content for varied audiences,from developers to C-suite executives

• Have experience managing speaker preparation and content development workflows for multi-session events or conferences

• Have experience sourcing and securing external speakers or contributors, including crafting compelling outreach and navigating relationships with journalists, thought leaders, subject matter experts, or academics.

• Bring strong relationship-building skills , you're comfortable being a face of Anthropic's event program and cultivating long-term, mutually valuable partnerships with external collaborators.

• Are highly organized with the ability to manage multiple content workstreams simultaneously while maintaining high quality standards

• Have strong collaboration skills and experience working cross-functionally with product, engineering, sales, and creative teams to produce content

• Are comfortable working in a fast-paced, high-growth environment where priorities can shift quickly and scrappiness is valued

• Have a genuine interest in AI technology and are excited to learn about Anthropic's products and research to inform authentic event storytelling

• Are results-oriented with a bias toward action,you can develop a content plan and execute it, iterating quickly based on feedback

Strong candidates may also have:

• Experience in event content for technology companies, particularly in AI, cloud, or enterprise software

• Background in producing content for both B2B and B2C audiences across event formats (keynotes, workshops, demos, networking experiences)

• An established professional network spanning journalists, thought leaders, academics, or subject matter experts in AI or adjacent fields

• Experience building and managing a recurring speaker pipeline for a growing events program, including strategies for speaker retention and long-term re-engagement.

• Familiarity with event marketing tools and platforms for content delivery and attendee engagement

• Experience developing content strategies that demonstrably contributed to pipeline generation or brand awareness goals

• Comfort working with technical subject matter experts and translating their insights into polished event content

• Experience building scalable content frameworks or toolkits for growing event programs

• A portfolio that demonstrates range across event content types,from executive-level presentations to hands-on workshop materials

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

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ('OTE') range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $200,000-$255,000 USD

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Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue , and that revenue runs through Billing Platform. The Product Monetization team builds the on-rails that let every product team at Anthropic , Claude.ai, the Developer Platform, Claude Code , monetize features and convert users into paying customers without becoming billing experts themselves.

We're looking for an Engineering Manager to lead this team. You'll own the platform layer where product meets revenue: the integration contracts product teams plug into, the constructs that let the business run pricing experiments, the self-serve and promotional capabilities Growth builds on, and the payment methods that open up global markets.

Responsibilities

• Lead and grow a team of engineers building the revenue-enablement platform , hiring, coaching, and setting a high technical bar.
• Build the on-rails: clean billing API abstractions and integration contracts so product teams can onboard and launch paid SKUs seamlessly, without billing logic leaking into their stack.
• Define and own the platform's reliability bar , tiered SLOs and SLAs organized by customer impact: error budgets on the "can the customer do the thing" flows, quality targets on everything else.
• Build the platform constructs that let the business run pricing experiments and iterate on monetization models with real data.
• Partner closely with Growth , own the promotional, trial, and self-serve billing platform they build campaigns on top of. Your team owns the platform; Growth owns the campaigns.
• Expand payment method coverage globally, driving up authorization rates and conversion in markets where default card flows underperform.
• Ship new monetization models that keep pace with how the product portfolio evolves.
• Drive down time-to-market for new SKUs and product launches , the team's core input is "product team needs to charge for X," and your job is to make that fast.

Requirements

• Have 3+ years of engineering management experience, with 8+ years total in the industry.
• Have led teams building payments, billing, subscription, or monetization systems , and know firsthand how a small pricing change ripples through the whole stack.
• Have strong opinions about platform boundaries and API design.
• Are good at cross-functional work , Growth, Legal, Customer Support, Safeguards, and product teams will all have opinions and you need to keep them aligned.

Nice to haves

• Direct experience with modern billing and payment platforms , and opinions on when to build vs. buy.
• Built or scaled local payment method adoption for international markets.
• Run a promotional/offers platform that fed directly into growth or subscription conversion funnels.
• Experience in a PLG or self-serve SaaS environment where billing UX is a conversion lever, not an afterthought.
• Managed teams through regulatory or compliance-heavy work (consumer financial terms, tax, etc.).

Benefits

The annual compensation range for this role is $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 this.

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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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In this role, you'll collaborate with cross-functional teams to define, design, and deliver new features, proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades. You'll present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.

Ideally, you'd have 8+ years of full-time engineering experience, post-graduation, with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems. You'll need extensive experience in various database technologies, streaming/processing solutions, indexing/caching, and various data query engines.

As a Staff Software Engineer, you'll provide technical leadership, including upholding and upleveling engineering standards across the organization, mentoring junior engineers. You'll 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 and various public cloud offerings is essential. You'll also need extensive experience in software development and a deep understanding of distributed systems, cloud platforms, and data systems.

You'll drive cross-functional collaboration and communication at an organizational or broader level, and be excited to work with AI technologies.

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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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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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Key responsibilities include:

• Event planning and execution: coordinating timelines, agendas, sponsorship activations, and on-site or virtual operations
• Event sponsorship programs: tracking assets, deliverables, and engagement opportunities across events and digital placements
• Event logistics: supporting Scale-hosted event logistics, including executive dinners, happy hours, and customer events
• Virtual events: coordinating and supporting Scale's virtual event program (webinars, fireside chats)
• Project management: managing deliverables and tracking progress to ensure projects are delivered on time
• Marketing collaboration: collaborating cross-functionally with GTM, product marketing, communications, growth marketing, brand, and EPD teams to consistently articulate and share Scale AI's vision and value proposition

As a Field Marketing & Events Associate, you will work closely with the Marketing & Communications team to develop and execute event strategies that drive business growth and revenue. You will also have the opportunity to work with senior leaders and stakeholders to understand their needs and develop solutions that meet their expectations.

Requirements include:

• 3+ years of experience in event marketing and marketing campaign management, preferably within the technology sector
• Strong project management skills with the ability to manage multiple projects simultaneously
• Strong vendor management skills
• Previous experience managing third-party relationships and contracts
• Attention to detail and a proactive approach to troubleshooting
• Collaborative and positive attitude, with the ability to work across teams, including executive leadership
• Excellent written and verbal communication skills for interacting with executives and their teams

Nice to have:

• Experience with CMS and other sales/marketing platforms (SFDC, Hubspot, Outreach, and virtual event platforms, etc.)
• Previous experience at a high-growth startup or technology company (AI is plus)

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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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This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems.

We're looking for someone who can operate with high agency in an ambiguous environment,someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery.

Responsibilities:

• Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results
• Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions
• Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient
• Create reusable platforms and tools that accelerate the development of new research applications
• Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage
• Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration
• Contribute to technical strategy and architectural decisions for research tooling
• Mentor other engineers and help establish best practices for research application development

Requirements:

• 5+ years of software engineering experience with a strong focus on full-stack development
• Excel at rapid iteration and shipping,you can move from concept to working prototype quickly
• Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.)
• Demonstrate high agency and ability to operate independently in ambiguous environments
• Can quickly develop deep understanding of complex technical domains
• Have strong product instincts and can identify the right problems to solve
• Are proficient with modern web technologies (React, TypeScript, Python, etc.)
• Have a track record of building user-facing applications that are actually used and loved by their target audience
• Communicate effectively with both technical and non-technical stakeholders
• Care about the societal impacts of your work and are motivated by Anthropic's mission

Strong candidates may also have:

• Experience building research tools, scientific software, or experimentation platforms
• Background in machine learning, AI research, or working closely with ML researchers
• Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools
• Built open-source tools or platforms with active user communities
• Experience with data visualization, interactive interfaces, or novel interaction paradigms
• Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products)
• Experience leveraging AI/LLMs to build more powerful or efficient tools
• Previous work in creative tools, artist tools, or other domains requiring deep user empathy
• Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment

Annual compensation range for this role is $300,000-$405,000 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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As a part of this team, you will define how the company ships software, establishing the patterns for deploying into complex government and high-security environments, rather than just running Terraform scripts.

You will build and maintain internal CLIs/tools that standardize testing, deployment, environment management and are tools that engineering relies on to prevent downstream breakages.

You will execute on automated deployment efforts to pay down tech debt, creating fully functional staging/testing environments, and defining the company's standard for safe deployments.

Responsibilities:

• Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure.

• Own services or systems and define their long-term health goals, while also improving the health of surrounding components.

• Re-architect the stack to run in compliant or restrictive environments. This requires designing swappable components (auth, storage, logging) to meet government/security mandates without breaking the product.

• Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.

• Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.

• Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business, playing a key role in shaping the future direction of our offerings.

Must have:

• At least an active secret clearance and the ability & willingness to up level to TS/SCI with CI Poly. This is a requirement and candidates will not be considered who do not hold at least a secret clearance

Ideally you'd have:

• Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus.

• Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is desired. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment.

• Security Focused: Experience with Federal Compliance frameworks, and requirements(e.g, Cloud SRG, FedRAMP, STIG Benchmarks, etc). Experience developing software & technical solutions that meet strict security & regulatory compliance requirements.

• Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.

• Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment.

• Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering.

• Must be able to support work 3-4 days a week from the DC, SF, NYC, or STL office.

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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Anthropic is looking for a Data Engineer to join the Safeguards team and build the data foundations that keep our AI systems safe. The Safeguards team works to monitor models, prevent misuse, and ensure user well-being.

You'll design and build the data pipelines, warehousing solutions, and analytical tooling that power our safety and trust efforts at scale. You'll work closely with engineers, data scientists, and policy teams to ensure the Safeguards organization has the data it needs to detect abuse patterns, measure the effectiveness of safety interventions, and make informed decisions about model behavior and enforcement.

This is a high-impact role where your work will directly support Anthropic's mission to develop AI that is safe and beneficial.

Responsibilities

• Design, build, and maintain scalable data pipelines that support safety monitoring, abuse detection, and enforcement workflows
• Develop and optimize data models and warehousing solutions to enable efficient analysis of large-scale usage and safety data
• Build and maintain dashboards and reporting infrastructure that give Safeguards teams visibility into model behavior, misuse patterns, and enforcement outcomes
• Collaborate with engineers to integrate data from multiple sources , including model outputs, user reports, and automated classifiers , into a unified analytical layer
• Implement data quality frameworks, monitoring, and alerting to ensure the reliability of safety-critical data
• Partner with research teams to surface data insights that inform model improvements and safety interventions
• Develop self-service data tooling that enables stakeholders to explore safety data and generate reports independently
• Contribute to data governance practices, including access controls, retention policies, and privacy-compliant data handling

You may be a good fit if you:

• Have 3+ years of experience in data engineering, analytics engineering, or a related role
• Are proficient in SQL and Python, with experience building and maintaining ETL/ELT pipelines
• Have hands-on experience with modern data stack tools such as dbt, Airflow, Spark, or similar orchestration and transformation frameworks
• Have worked with cloud data platforms (BigQuery, Redshift, Snowflake, or similar)
• Are comfortable building dashboards and data visualizations using tools like Looker, Tableau, or Metabase
• Communicate clearly and can translate complex data concepts for both technical and non-technical audiences
• Are results-oriented, flexible, and willing to pick up slack even when it falls outside your job description
• Care about the societal impacts of AI and are motivated by safety work

Strong candidates may have:

• Experience with trust & safety, integrity, fraud, or abuse detection data systems
• Experience with large-scale event streaming systems (Kafka, Pub/Sub, Kinesis)
• Built data infrastructure that supports ML model monitoring or evaluation
• A background in statistical analysis, or experience collaborating closely with data scientists
• Developed internal tooling or self-service analytics platforms

Strong candidates need not have:

• A formal degree in Computer Science or a related field , we value practical experience and demonstrated ability over credentials
• Prior experience in AI or machine learning , you'll learn the domain-specific context on the job
• Previous experience at an AI safety or research organization
• Deep expertise across every tool listed above , familiarity with a subset and a willingness to learn is enough

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.

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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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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You'll coach and develop a team of PAMs, shape the operating model for how we engage the tier, and build the programs, playbooks, and measurement systems that let us scale with quality.

This role sits at the intersection of team leadership, partner strategy, and operational execution.

Responsibilities:

Team leadership and development

• Lead, coach, and develop a team of Partner Account Managers covering a group of Anthropic’s services partners

• Set clear expectations, goals, and operating standards; hold the team accountable to partner revenue, pipeline, and program outcomes

• Hire and retain exceptional talent; build a team culture grounded in rigor, partnership, and care for Anthropic's mission

Program and operating model

• Shape the tier's operating model: how PAMs plan with partners, run QBRs, forecast, track partner health, and prioritise their time across a portfolio

• Partner with the broader SI program to adapt tier structure, benefits, and requirements to partner dynamics

• Build and evolve playbooks that help PAMs recruit, onboard, activate, and grow partners consistently

Enablement and partner success

• Work with enablement, product, and solutions teams to ensure partners have the training, certifications, and technical resources they need to build and deliver production-grade Claude solutions

• Identify gaps in partner readiness and drive cross-functional investment to close them

• Ensure consistent quality of partner engagement across the team

Cross-functional leadership and insights

• Collaborate with sales, partner operations, marketing, legal, and finance to remove friction and accelerate joint outcomes

• Surface partner, market, and product insights to inform Anthropic's broader partner strategy and roadmap

• Represent the business in partnership leadership forums

You may be a good fit if you have:

• 10+ years of experience in partner sales, channel sales, alliances, or partner management at a technology company

• 3+ years managing partner-facing teams, including senior individual contributors

• A track record of driving revenue through SI or consulting partner channels, consistently meeting or exceeding targets

• Experience building or scaling partner programs , tier structures, enablement, playbooks, and operating cadences , in a fast-growing environment

• Strong commercial acumen; comfortable coaching your team through complex deals, partner negotiations, and multi-stakeholder enterprise sales cycles

• Experience managing a portfolio of partners at scale (rather than a small number of top-tier strategic accounts) and a view on how to drive leverage across a wide partner base

• Excellent analytical skills; fluency with partner KPIs, dashboards, and using data to drive team and program decisions

• Outstanding communication and relationship-building skills, from partner practitioners to senior executives, both externally and internally

• Comfort with ambiguity and a track record of creating structure in emerging programs

• Willingness to travel to support partner relationships and joint customer engagements

• Interest in AI and a commitment to Anthropic's mission of building safe, beneficial AI systems

Strong candidates may also have:

• Direct experience working with or at specialist / regional SIs similar to this group of partners (e.g., Persistent, Slalom, Ahead, DXC, Genpact, and comparable firms)

• Experience in AI, cloud platforms, or other high-growth technology categories where partner enablement and technical differentiation are critical

• Experience managing partner teams across multiple geographies and cultures

• A background that spans partner management and adjacent disciplines such as direct enterprise sales, partner sales, or alliances strategy

• Experience standing up or scaling a partner tier or program from early stage to mature operations

• A point of view on how AI is reshaping the SI ecosystem and how Anthropic should engage specialist and regional partners differently from hyperscale GSIs

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary: $355,000-$425,000 USD

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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'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 Director of Enterprise ML, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You’ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.

This role is ideal for a leader who thrives in ambiguity, understands both frontier GenAI capabilities and their limitations, and is motivated by turning research into durable, production-ready systems.

Key responsibilities include:

• Leading, mentoring, and growing a team of research scientists and engineers working on GenAI research initiatives
• Defining and driving a multi-year research roadmap, identifying key scientific questions, setting milestones, allocating resources, and ensuring rigorous execution
• Collaborating cross-functionally with engineering, product, client-facing teams, and external academic or industry partners to translate research into components, insights, and actionable outcomes
• Communicating compellingly, publishing research, presenting at conferences, engaging in open-source contributions, and representing the team externally
• Driving an inclusive, high-performing culture, helping your team through technical challenges, providing growth opportunities, and attracting top talent

Core qualifications include:

• 8+ years of hands-on research experience in machine learning, deep learning, generative models, agent/RL systems, or related domains
• A strong track record of research excellence, including publications in top-tier ML/AI venues
• Experience leading or managing research teams
• Excellent written and verbal communication skills

Nice-to-have qualifications include:

• Hands-on experience building and deploying agent-based, tool-augmented, or workflow-driven LLM systems in enterprise environments
• Prior ownership of enterprise AI platforms, internal ML products, or customer-facing AI services at scale
• Proven track record of partnering directly with enterprises to identify high-impact use cases and deliver measurable business outcomes

Compensation packages at Scale include base salary, equity, and benefits, with a salary range of $289,800-$362,250 USD for this full-time position in San Francisco, New York, and Seattle.

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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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About us

At Pomelo Care, we are redefining the healthcare journey for women and children. As the leading virtual medical practice in our field, we provide a continuous circle of support,from the first steps of family building and the complexities of pregnancy to the nuances of postpartum, pediatric, and midlife care.

What you'll do

As our first Product Security Engineer, you will sit at the intersection of Security and Software Engineering. Reporting directly to the CISO, you will be a "Security Builder": embedded within our engineering teams with the autonomy needed to build the automation, tools, and workflows that make security a seamless part of the software development lifecycle.

You aren't just finding bugs; you are building the systems that prevent and fix them at scale. Your work will be centered on three core strategic pillars:

• Secure architecture and auth: you will design and implement auth enhancements such as magic link improvements and access/audit log features to monitor access and improve transparency.

• Privacy engineering: you will lead the privacy engineering initiatives including DSAR integration, building automated data deletion capabilities directly into the Pomelo mobile app and our internal platform to ensure seamless compliance. You will also help improve privacy-preserving data de-identification and anonymization as needed.

• Full-cycle remediation: you will own the end-to-end pentest-to-fix lifecycle. This means you don't just triage reports; you write the code to fix penetration test findings, remediate SAST issues, and build greenkeeping systems for high-volume dependency patching with regression testing.

Beyond these pillars, you will serve as a high-leverage engineering partner to the broader InfoSec team by:

• Building secure-by-default libraries: reducing the load on core Software Engineering by creating internal libraries and patterns that make security the default path.

• Threat modeling: partnering with engineering leads to conduct threat modeling and ensure secure design at the earliest stages of the development process.

• Scaling through collaboration: as a security resource embedded in our engineering teams, you will help engineering squads navigate complex security use cases, translating GRC requirements into elegant code rather than manual checklists.

Who you are

You’re an enthusiastic and collaborative engineer who enjoys solving meaningful problems through code. You view security as a product challenge, and you believe the best way to secure a system is to make the "secure way" the "easy way." In particular, you:

• Are a builder first: Have 5+ years of software engineering experience with a strong foundation in computer science and a track record of shipping production-grade code (Python, Go, Kotlin or similar).

• Have a security mindset: You understand the OWASP Top 10, identity flows and prompt injections, but you’d rather build a system that eliminates a class of vulnerability than manually triage individual alerts. You believe security expertise should be embedded into the development process, not bolted on at the end.

• Are an automation enthusiast: you enjoy tackling complex problems with practical automation and are keeping up with trends in LLM agents to multiply your engineering impact.

• Navigate ambiguity: as a floating resource across various engineering teams, you are comfortable context-switching and can quickly build rapport with different engineering teams to understand their needs.

We’ll be super excited if you

• Have experience with Google Cloud Platform (GCP), Github Advanced Security (GHAS), Stytch, Sentry, Fullstory, Statsig or similar technology stack.

• Have prior experience in healthcare data, including understanding of HIPAA, SOC 2 Type 2 and HITRUST compliance requirements.

• Have experience building data infrastructure that supports AI/ML workloads,internal developer platforms and privacy preserving data de-identification and anonymization techniques.

• Have previously worked in a fast-paced, product-oriented startup environment.

Why you should join our team

By joining Pomelo, you will get in on the ground floor of a fast-moving, well-funded, and mission-driven startup that always puts the patient first. You will learn, grow and be challenged -- and have fun with your team while doing it.

We strive to create an environment where employees from all backgrounds are respected. We also offer:

• Competitive healthcare benefits

• Generous equity compensation

• Unlimited vacation

• Membership in the First Round Network (a curated and confidential community with events, guides, thousands of Q&A questions, and opportunities for 1-1 mentorship)

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As a Staff Security Engineer, you will design and implement scalable triage, prioritization, and remediation-tracking systems across application, infrastructure, and hardware domains. You will set technical standards, drive high-impact initiatives, and mentor engineers through technical leadership, while partnering with leadership on priorities and execution risks.

Key Responsibilities:

• Lead high-complexity VM technical initiatives and deliver architecture decisions for assigned program areas
• Design and build scalable triage automation, including integrations, decision logic, and production hardening
• Implement end-to-end workflow components from assessment and detection to ticket routing and remediation tracking
• Provide deep technical leadership on hardware-adjacent vulnerabilities (GPU firmware, DPU firmware/BlueField, and BMC surfaces)
• Act as senior technical responder for embargoed disclosures and zero-day events, coordinating with owner teams that deploy fixes
• Improve prioritization logic, severity models, and exception workflows through code, design reviews, and technical proposals
• Produce actionable technical metrics and risk insights for leadership consumption
• Lead root-cause analysis for high-impact vulnerability incidents and implement durable technical improvements
• Mentor IC3/IC4/IC5 engineers through design guidance, code review, and incident coaching
• Partner with security, engineering, and operational stakeholders to improve workflow reliability and accelerate remediation outcomes

Requirements:

• 9+ years of relevant experience with demonstrated strategic impact in vulnerability management, application security, platform security, or cloud security engineering
• Proven track record building and scaling security automation (SOAR workflows, AI/ML systems, detection pipelines) in production environments
• Deep subject matter expertise with vulnerability management best practices: CVSS, EPSS, CISA KEV, threat intelligence integration, and risk-based prioritization frameworks
• Excellent development background with strong coding skills in Python, Go, or similar languages for building scalable, production-grade security systems
• Significant experience with modern vulnerability management tooling (for example Wiz, Semgrep, Rapid7, Tenable, or equivalent)
• Experience with specialized infrastructure: GPU/DPU environments, firmware security, hardware vulnerabilities, or high-performance computing
• Demonstrated track record mentoring engineers across levels and driving cross-functional technical initiatives at organizational scale
• Strong business acumen and understanding of how security decisions impact engineering velocity, customer trust, and business outcomes

Preferred Qualifications:

• Practical experience building AI/ML-powered security systems (LLM integration, automated decision-making, human-in-the-loop validation) in production
• Experience managing hardware vendor security partnerships (embargoed disclosures and pre-release collaboration)
• Production experience with security automation platforms such as TINES and serverless frameworks (AWS Lambda, GCP Cloud Functions)
• Strong DevOps, DevSecOps, or SRE background with deep experience in AWS/GCP/Azure cloud services and Infrastructure as Code (Terraform, CloudFormation)
• Deep understanding of Kubernetes security (container scanning, admission controllers, supply chain security, runtime protection)
• Experience leading security programs through rapid hypergrowth (10x+ infrastructure scaling) in startup or cloud-native environments
• Practical experience managing vulnerabilities within a FedRAMP-certified environment or similar regulatory frameworks

Salary and Benefits: The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

Work Environment:

While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

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As a Support Specialist, you will independently handle a broad range of contributor support issues, including moderately complex and nuanced cases requiring sound judgment, investigation, and clear communication.

You will work cross-functionally to ensure contributors receive accurate, timely, and thoughtful support while helping identify opportunities to improve workflows and documentation.

This role is well-suited for experienced support professionals who are comfortable operating autonomously and navigating ambiguity in a fast-paced environment.

Responsibilities:

• Resolve routine and moderately complex contributor inquiries across email and chat support channels using established workflows and best judgment.

• Communicate clearly, empathetically, and professionally.

• Document investigations, actions taken, and resolutions thoroughly in Zendesk or equivalent systems.

• Identify issues outside the tier’s scope and escalate with clear context and documentation.

• Contribute feedback on workflows, macros, or documentation to improve efficiency and contributor experience.

• Stay current on relevant process and product updates through the provided resources.

Ideally You’d Have:

• Prior experience in high-volume customer support, platform support, or similar.

• Experience working remotely, with demonstrated ability to manage work independently and prioritize tasks without direct supervision.

• Strong written and verbal English communication skills, with the ability to communicate clearly and professionally.

• Familiarity with customer service SaaS tools, Slack, and Google Workspace.

Working Model & Tools:

• This is an independent contractor role, responsible for providing agreed-upon services and deliverables for an estimated six-month term.

• Company equipment will be provided during the engagement.

• Collaborates asynchronously with internal teams as needed.

Benefits:

• Continued engagement or potential conversion to full-time employment may be considered at the company’s discretion, based on performance and business needs.

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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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Key responsibilities include:

• Designing and implementing SaaS platforms and IT tools
• Providing technical guidance to support business expansion, system scalability, and infrastructure maturity
• Identifying gaps, risks, and opportunities in the environment and leading initiatives to enhance security posture, operational efficiency, and resilience
• Evaluating emerging technologies, IAM trends, and automation platforms and developing business cases and adoption recommendations
• Mentoring junior engineers and collaborating with cross-functional teams to align IT capabilities with organizational goals

Basic qualifications include 8+ years of hands-on experience administering and optimizing a broad portfolio of SaaS applications in a hybrid and high-growth environment, with advanced proficiency in our core stack: Okta (including Advanced Server Access & Workflows), Google Workspace, Slack Enterprise, Atlassian, etc.

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Key responsibilities include: Collaborating closely with Robotics customers to drive the industry forward in using VLA data Developing ML pipelines to train/fine-tune models using Scale's data Conducting research on robotics data collection, cross-embodiment training, and policy fine-tuning Developing novel methods for evaluating VLA models, including new robotics industry benchmarks Partnering with cross-functional stakeholders and Scale's customers to improve data collection Collaborating with product teams to bring ML outcomes to Scale's platform

You'll have: Practical experience building training VLA models and/or building robotics data 3+ years of relevant industry experience in areas relating to: robotics, computer vision, embodied AI, sim-to-real, imitation learning, reinforcement learning, and vision language actions models PhD or equivalent experience in Machine Learning or Robotics A track record of published research in robotics Experience conducting data collection and performing evaluations Strong written and verbal communication skills and the ability to work with cross-functional teams and customers Intellectual curiosity, empathy, and ability to operate with a high degree of autonomy

Nice to haves: Experience working with robotics hardware platforms (robotic arms, perception systems, etc.) Experience deploying machine learning models on robotic systems in the field Experience with teleoperated or human-driven data for robotics (ALOHA, UMI, hand tracking, etc.)

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The impact you will have:

• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.

What we look for:

• Extensive experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 10% of the time

[Preferred] Databricks Certification but not essential

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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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This is a high-visibility, high-impact role where you'll architect and build AI-forward solutions to personalize the customer journey, optimize conversion funnels, and reduce churn. You'll partner closely with Product, Data Science, and Design to define the future of Dropbox monetization while mentoring a team of 15 engineers across experience levels.

Your work will have immediate, measurable business impact. You'll get substantial exposure to Growth leadership, shape the technical direction of a critical revenue-driving platform, and help build a best-in-class monetization engineering practice.

Responsibilities

• Lead the design and implementation of scalable, reliable systems powering Dropbox's monetization flows (checkout, trials, subscriptions, pricing)

• Define and drive the technical roadmap for Growth Monetization, aligning engineering investments with business priorities

• Architect AI/ML-powered solutions for conversion optimization, personalized offers, and predictive churn modeling

• Own end-to-end delivery of complex, cross-functional projects with direct revenue impact

• Establish engineering best practices, improve system reliability, and drive down technical debt

• Mentor engineers across the team, fostering growth and elevating technical capabilities

• Partner with Product, Data Science, and Design to translate business goals into technical solutions

Requirements

• 12+ years of software engineering experience, with 3+ years operating at a senior or staff level

• Strong full-stack engineering skills with proficiency in modern frontend frameworks (React, TypeScript) and backend technologies (Python, Go, or similar)

• Demonstrated ability to lead complex technical projects from conception through delivery

• Experience designing and scaling systems that handle high traffic and require high reliability

• Track record of influencing technical strategy and driving architectural decisions beyond immediate team scope

• Proven ability to mentor engineers and raise the technical bar across a team

• Strong product intuition and ability to balance technical excellence with business impact

Preferred Qualifications

• Experience with monetization, payments, checkout, or e-commerce platforms

• Background in growth engineering, conversion optimization, or experimentation platforms

• Familiarity with ML/AI applications in personalization or funnel optimization

• Experience with subscription-based or SaaS business models

• Prior experience at a company operating at significant scale (millions of users)

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As a Staff+ Software Engineer, you will independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You will partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day.

Our team is responsible for Platform Acceleration, Service Infra, Multicloud, Auth & Identity, and Connectivity. We work on maximising developer productivity of product engineers at Anthropic, building and maintaining the core infrastructure that powers Anthropic's engineering organisation, operating across multiple cloud providers, and powering identity and authentication across Anthropic's product suite.

You will work on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, proxy infrastructure that stays up when partner servers don't. We ship for claude.ai, Claude Code, Cowork, and the API.

Relevant experience includes OAuth, API gateways, multi-tenant platforms, building for enterprise, and MCP.

We are looking for someone with 8-10+ years of practical full-stack engineering experience, ideally with 2+ years operating at a Staff or equivalent technical leadership level. You should have led the design and delivery of complex, consumer or B2B user-facing products across the full stack, and take a product-focused approach to building solutions that are robust, scalable, and easy to use.

Strong candidates may also have served as a technical lead or architect for a foundational platform system, owning both the technical vision and execution end-to-end, or experience designing or scaling billing, payments, or financial infrastructure at high transaction volumes.

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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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You'll help define the future of content at Databricks by making it a first-class product experience and integrating content development into product development.

Key responsibilities include:

• Owning the content experience end-to-end, ensuring it's helpful, intuitive, and actionable
• Driving strategic improvements to content tooling and workflows
• Building an architecture of participation that enables context experts to contribute directly to content
• Integrating AI to transform content experiences
• Defining metrics that matter and tracking content engagement, time-to-task, support deflection, and user satisfaction

Requirements include:

• 7+ years of product management experience, with a proven track record of leading cross-functional initiatives and delivering high-impact user experiences
• Deep understanding of developer tools, data platforms, or technical products with large surface areas
• Strong systems mindset, comfortable designing scalable workflows, content architectures, and tooling integrations
• Experience with developer documentation, content platforms, or product onboarding is a plus
• Strong customer empathy and an obsession with helping users succeed
• Familiarity with AI technologies (especially LLMs) and how they can be applied to content workflows and user guidance
• Experience working with technical and non-technical contributors in a collaborative content ecosystem

Pay Range Transparency: Databricks is committed to fair and equitable compensation practices. The pay range for this role is $181,700-$249,800 USD.

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Partner Enablement team at Okta is responsible for equipping our Field Team and Partners with the knowledge, tools, and resources needed to succeed. We create, deliver, and manage training programs that drive understanding and adoption of Okta’s innovative identity and access management solutions. Our mission is to empower every learner to maximise the value of Okta’s platform and services.

The Service Delivery Trainer Opportunity

Reporting to the Manager, GSI Enablement, this role will develop and deliver training programs to ensure seamless deployment and adoption of Okta solutions. The Service Delivery Trainer will leverage their technical enablement and deployment experience to provide our customers and partners with best-in-class training, enabling them to deploy Okta successfully.

What You’ll Be Doing

• Delivering technical training sessions to GSI partners focused on deploying and managing Okta solutions.
• Designing, developing, and maintaining training materials, including presentations, hands-on labs, and virtual learning modules.
• Collaborating with cross-functional teams to ensure training aligns with product updates and best practices.
• Partnering with deployment teams to understand challenges and create targeted training programs to address skill gaps.
• Gathering feedback from learners to continuously improve training effectiveness and content quality.
• Managing logistics for training sessions, including scheduling, registration, and follow-up communications.

What You’ll Bring to the Role & What We’re Looking For

• 5+ years of experience in technical enablement or training, preferably with a focus on SaaS or identity solutions.
• Hands-on experience deploying Okta or similar identity management solutions.
• Proven ability to design and deliver engaging, technically complex training programs to diverse audiences.
• Excellent communication and presentation skills with a knack for making technical topics accessible.
• Strong collaboration skills and the ability to work across multiple teams and functions.
• Familiarity with instructional design principles and adult learning methodologies.

Additional Experience That We Value

• Okta certifications (e.g., Okta Certified Administrator, Okta Certified Professional).
• Experience with deployment tools and methodologies.
• Proficiency with virtual training platforms and e-learning development tools.
• Background in managing customer or partner onboarding programs.
• Experience working with global teams and scaling training programs internationally.

#LI-Hybrid

#P22580

The Okta Experience

• Supporting Your Well-Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

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This is an excellent opportunity for a hands-on leader who thrives in a fast-paced environment and is passionate about solving novel multicloud and distributed systems challenges.

The ideal candidate will have 5+ years of production-level experience in one of: Python, Java, Scala, C++, or a similar language, and 4+ years of experience developing large-scale distributed systems from scratch. Experience working on a SaaS platform or with Service-Oriented Architectures is also required. Extensive experience working on large-scale compute clusters, network connectivity, and automation is necessary.

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You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases. You will work with engagement managers to scope variety of professional services work with input from the customer.

Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications. Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.

Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.

Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

The ideal candidate will have 6+ years experience in data engineering, data platforms & analytics, comfortable writing code in either Python or Scala, working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one, deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals, familiarity with CI/CD for production deployments, working knowledge of MLOps, design and deployment of performant end-to-end data architectures, experience with technical project delivery - managing scope and timelines, documentation and white-boarding skills, experience working with clients and managing conflicts, build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.

Travel to customers 20% of the time.

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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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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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Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence.

As Mixpanel scales into the enterprise, the platform that underpins how customers manage, secure, and control their Mixpanel environment becomes increasingly strategic. This isn’t a role about a single feature or workflow , it’s about the foundational systems that determine whether a 500-person company trusts us with their data and their organisational complexity.

Responsibilities

Own the Enterprise Platform Roadmap

Define and drive the roadmap for Mixpanel’s enterprise management surface , RBAC, SSO/passkeys, auth services, audit logs, admin controls, bulk user management, and settings UX

Develop a principled view of what the platform must guarantee (security, compliance, reliability) vs. what can be iterative , and sequence investments accordingly

Anticipate requirements from enterprise customers, internal security reviews, and compliance obligations; design ahead of the ask rather than reacting to it

Build business cases for platform investments, making the indirect ROI of security and compliance work legible to leadership

Establish operating cadence and governance across the two engineering tracks: align dependencies, create clear owners, and ensure predictable delivery

Lead with Curiosity and Disciplined Discovery

Approach every platform problem with structured curiosity: frame clear hypotheses, test assumptions with lightweight experiments, and evaluate second-order effects before committing

Stay directly connected to enterprise customers and security-facing stakeholders (Sales, CS, Legal) to understand how platform limitations show up in real deals and renewals

Synthesise signal from security reviews, compliance inquiries, support tickets, and customer interviews into clear, prioritised product proposals

Drive Cross-Team Platform Integrity

Own the consistency and reliability of shared authentication, permissions, and admin patterns across Mixpanel’s product portfolio , ensure every product team builds on a stable, well-governed foundation

Partner with engineering leads to define clear APIs, auth contracts, and permission interfaces that prevent hidden dependencies and enable safe evolution

Define and maintain measurement standards for platform health: uptime, auth failure rates, admin task completion, enterprise onboarding velocity

Work closely with application security to ensure platform features meet enterprise security standards and pass external audits

We’re Looking For

Experience

5+ years of PM experience owning meaningful problems end-to-end; direct experience with identity, access management, enterprise administration, or security-adjacent product work strongly preferred

Track record of driving alignment and delivering outcomes across engineering, security, and GTM functions without formal authority

Experience building business cases for security, compliance, or infrastructure investments where ROI is indirect or realised over long time horizons

Familiarity with enterprise sales and the role platform features (SSO, RBAC, audit logs) play in closing and renewing enterprise accounts

Skills

Systems thinker: you understand how platform-layer decisions ripple across products, user journeys, and engineering teams, and you reason about second-order effects before committing to a direction

Technical fluency: credible with engineers on identity, auth, and security infrastructure tradeoffs; can partner on architecture-level product decisions without needing to be an engineer

Curious by default: you ask better questions before proposing solutions, challenge assumptions respectfully, and design lightweight experiments to validate direction

Customer-obsessed even on infrastructure: you stay connected to how platform quality shows up for end users and enterprise admins, not just internal teams

Clear, direct communicator: you can write a crisp one-pager, align senior stakeholders on a difficult tradeoff, and make security/compliance topics accessible to non-technical audiences

AI-native: you use AI tools actively in your day-to-day product work , research, synthesis, discovery , and can point to specific ways they’ve changed how you operate

Bonus Points

Deep familiarity with SSO protocols (SAML, OIDC), passkeys/WebAuthn, or RBAC design patterns

Experience navigating SOC 2, GDPR, or enterprise security review processes as a PM

Hands-on Mixpanel user who understands the product from the inside

Experience at a company navigating single-product to multiproduct platform complexity

Experience writing production-grade software or working directly with auth/identity APIs

Compensation

The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage.

Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.

Mixpanel Compensation Range $218,500-$250,000 USD

Benefits and Perks

Comprehensive Medical, Vision, and Dental Care

Mental Wellness Benefit

Generous Vacation Policy

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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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This is a high-impact, high-visibility role at the heart of Growth Engineering, partnering closely with Pricing & Packaging, Order, Self-Serve, Sales, Finance, Enterprise Systems, Analytics, and Billing Operations.

You'll drive clarity, focus, and execution across a mission-critical platform while fostering a culture of ownership, accountability, and incredibly high standards.

Key responsibilities include:

• Leading and scaling a team building and enhancing Intercom's billing, subscription, invoicing, and metering capabilities , the backbone of revenue and monetisation experiences.

• Owning and improving the reliability and operational excellence of Billing systems: on-call quality, incident response, observability, and product health standards.

• Partnering with Senior and Staff Engineers to shape and execute the technical strategy across subscription management, metering, invoicing, and integrations (e.g., Stripe Billing) , balancing near-term needs with long-term platform evolution.

• Collaborating deeply with Product, Design, Sales, Finance, Enterprise Systems, Analytics, and Billing Ops to prioritise the roadmap, close operational gaps, and deliver measurable business outcomes each quarter.

• Cultivating and managing trusted relationships with partner leaders in Finance, Enterprise Systems, and Analytics to ensure alignment on data flows, compliance, reconciliation, and business reporting needs.

• Driving migrations and modernisation work where needed (e.g., Stripe-first capabilities, systems parity and improvements), ensuring safe change management and robust downstream data flows.

• Bringing clarity and alignment to priorities, tradeoffs, and timelines; setting a high bar for planning, testing, and end-to-end quality, especially for revenue-impacting launches.

• Developing and retaining top talent through coaching, clear expectations, and effective delegation; scaling yourself via strong tech-lead partnerships and “coach-and-delegate” leadership.

• Promoting a culture of ownership, accountability, and incredibly high standards , moving quickly, communicating crisply, and celebrating wins.

Requirements include:

• 5+ years managing software engineering teams building and shipping customer-facing or revenue-impacting systems (e.g., billing, payments, pricing, subscriptions).

• Strong technical leadership: comfortable diving into architecture, debugging complex systems, reviewing designs, and making pragmatic tradeoffs to ship safely and fast.

• Proven ability to lead a cross-functional, full-stack team through planning and delivery with clear ownership of business outcomes and product health metrics.

• Excellent product sense and customer empathy , you translate ambiguous requirements into clear scopes, milestones, and measurable impact.

• Skilled communicator who drives alignment across partner teams (Sales, Finance, Enterprise Systems, Analytics, Product, Design) and keeps stakeholders informed and unblocked.

• Track record of cultivating and managing senior relationships across Finance, Enterprise Systems, and Analytics to land durable solutions and accurate downstream reporting.

• Relentless about outcomes , you identify the highest-leverage problems, remove roadblocks, and hold the bar on quality without slipping schedules.

• AI-first mindset with a high bar for excellence: fluent in using AI tools to accelerate planning, execution, quality, and communication , and to inspire adoption across the team.

Bonus skills and attributes include:

• Experience with Stripe Billing or similar billing/subscription platforms; familiarity with usage metering and invoicing pipelines.

• Background in customer-facing SaaS and/or scale-up environments operating at high velocity.

• Experience leading operational excellence initiatives (on-call, incidents, observability) for revenue-critical systems.

Success looks like:

• 30 days: You understand the domain, architecture, on-call posture, partner landscape, and active initiatives; you've built trust with engineers and partner leads and stabilised any urgent operational issues.

• 60 days: Clear, realistic roadmap and execution plan across platform, product health, and partner asks; visible improvements in on-call rigor and update cadence; risks surfaced with mitigation plans co-owned with Finance, Enterprise Systems, and Analytics.

• 90 days: Shipped at least one meaningful capability or reliability improvement; measurable progress on top business outcomes; staffing/skills gaps identified with a concrete plan to address them.

Team and domain:

Mission: Bill customers reliably and accurately, and provide core monetisation and operational capabilities for Intercom.

Partners: Pricing & Packaging, Order, Self-Serve, Sales, Finance, Enterprise Systems, Analytics, Billing Ops, Data/Analytics.

Key areas: Subscription management, usage metering (e.g., Fin features), invoicing, revenue recognition data flows, admin tools, and ops workflows.

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At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

As a Forward Deployed Engineer, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform.

Responsibilities

Deep Technical Embedding: Serve as the dedicated, long-term technical partner within a strategic customer’s engineering organization, operating as a trusted extension of their team.

Production-Level Engineering: Design, build, and deploy production-ready code and configurations directly into customer infrastructure using the Cloudflare platform.

Technical Accountability: Own the account's technical success across the entire Cloudflare portfolio. Serve as the primary technical point of contact, with other Cloudflare technical resources taking direction from your technical strategy for the account.

Operational Integration: Participate in customer engineering rituals, including daily standups, design reviews, and real-time incident response.

Platform Advocacy & Adoption: Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across the customer’s tech stack.

Platform Breadth & Depth: Deep technical competence in building production applications on a modern stack, combined with the willingness and ability to go deep on all Cloudflare product areas. From Workers to security, networking, and observability.

Feedback Loop & Product Influence: Surface real-world edge cases and product gaps directly to Cloudflare’s Product and Engineering teams to influence the developer platform roadmap.

Strategic Relationship Management: Establish and maintain trusted technical relationships with senior leadership (Staff+ engineers, Directors, and VPs).

On-Site Presence: Maintain a regular on-site presence at customer locations to foster deep collaboration and cultural alignment.

Requirements

Proven Engineering Pedigree: 5+ years of professional software engineering experience. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them.

Production Ownership & Operational Maturity: You have owned mission-critical services with real-world users. You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain “five nines” uptime.

Active Practitioner: You are currently in the IDE. You have a “ship-first” mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns.

Full-Stack Architectural Depth: Broad technical fluency across the entire stack,from frontend performance and backend logic to database optimization and distributed infrastructure.

AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery.

Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the “big picture” without losing sight of the implementation details.

Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives.

High Agency & Navigating Ambiguity: You are a self-starter who thrives in “zero-to-one” environments. You don’t wait for a ticket; you identify the problem and own the solution from end-to-end.

Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact.

Nice to Have

Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform.

Previous experience at a fast-paced startup or in a customer-facing engineering role where you operated directly within a partner’s codebase.

A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences.

Compensation

For Seattle Area based hires: Estimated annual salary of $185,000 - $254,000

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!

Experience Level: senior Employment Type: full-time Workplace Type: hybrid Category: Engineering Industry: Technology Salary Range: $185,000 - $254,000 Required Skills:

• Proven Engineering Pedigree
• Production Ownership & Operational Maturity
• Active Practitioner
• Full-Stack Architectural Depth
• AI-Native Development
• Systems Design & Strategic Thinking
• Cloud Ecosystem Fluency
• High Agency & Navigating Ambiguity
• Executive Presence

Preferred Skills:

• Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platformових

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We are seeking an experienced Engagement Manager to join our team in Tokyo. As an Engagement Manager, you will be responsible for driving customer success by ensuring that our customers are making the most value of our products and services.

Key Responsibilities:

• Collaborate with sales counterparts to understand customer needs and develop valued solutions
• Identify opportunities for new services and articulate the business value
• Perform as the Engagement Manager in the assigned area with full accountability for meeting/exceeding Professional Services and Training bookings and revenue targets
• Consult with clients to understand and analyze engagement scope, requirements, time, cost, and benefits
• Drive resolution of delivery challenges, address resource contentions, scoping issues, and manage expectations

Requirements:

• Strong fundamental knowledge around Big Data Platforms Implementation from both the technology, operations, and security/governance lenses
• Proven experience in selling services offerings at either implementation, advisory, education, and change management capacity
• Senior customer-facing roles that require a mix of influencing, validating, negotiating, understanding, and execution to both business and technology audiences
• Consistent track record of identifying customer needs and successfully implementing solutions
• Owning projects/programs in agile scrum/kanban delivery methodology as well as waterfall methodology
• Strong problem-solving skill about customer's pain points by using modern technologies
• Excellence in presentation skills, providing proposals that enforce good project governance and drive scalable delivery practices to both internal and external executives
• High-level orchestration skills to align both internal and external stakeholders when proposing large initiatives
• Strong service delivery and program management skills with the ability to synthesize customer success outcomes into well-structured program plans that deliver against such outcomes

Preferred Qualifications:

• Prior experience in project/program proposal to customers at Consulting, SI, Software/Cloud Vendor
• Bachelor's degree in Computer Science or related educational background

Benefits:

• Comprehensive benefits and perks that meet the needs of all employees

Commitment to Diversity and Inclusion:

• Databricks is committed to fostering a diverse and inclusive culture where everyone can excel

Compliance:

• Access to export-controlled technology or source code is required for performance of job duties, and it is within Employer's discretion whether to apply for a U.S. government license for such positions

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As part of our Merchant team, you'll work across Engineering, Data Science, Product Marketing, and Design to deliver industry-leading AI and ML solutions, including the use of LLMs, to identify and surface relevant, high-quality merchants across all segments.

This will help Pinners discover new brands, increasing their confidence and consideration for shopping, while helping our merchants build new, diverse audiences.

You'll ship impactful models and experiences which direct high-traffic Pinterest surfaces, including both organic and paid, playing a key role in Pinterest's top strategic theme for the years ahead.

Responsibilities:

• Define, design, and launch thoughtful AI/ML-powered experiences that help users discover, curate, and shop ideas tailored to their unique taste.

• Partner cross-functionally with Engineering, Design, and Data Science to craft seamless and delightful experiences at the intersection of user experience, ML, and AI.

• Set product vision, influence strategy, write requirements, develop hypotheses, and establish success metrics for critical personalization initiatives.

• Identify and prioritize new opportunities to advance the relevance, impact, and sophistication of personalization across Pinterest's Curation portfolio.

• Autonomously navigate and resolve complex, ambiguous product challenges,and influence product strategy across multiple teams.

Requirements:

• Track record in AI/ML products: Experience building and launching personalized experiences, ideally at scale, for e-commerce platforms.

• Technical fluency: Strong understanding of AI/ML product development; usage of LLMs for scale, ability to credibly partner with engineers and data scientists across the stack.

• Strong product discovery skills: You're comfortable talking to business customers, mapping workflows, validating problems, and translating insights into clear product strategies and roadmaps.

• Sharp communication: Comfortable presenting to executives and cross-functional audiences; excels at simplifying complex technical and product concepts to drive clear decisions.

• Comfort with ambiguity and a bias for action: You can bring clarity to ambiguous problem spaces and move quickly while keeping stakeholders informed.

• Strategic and customer-centric: Deep empathy for user needs, with an ability to turn rich data and insights into new opportunities and delightful features.

• Ecosystem Understanding: Strong experience in B2B2C or “dual-customer” operating models to deliver delightful experiences for multiple stakeholders.

• Collaborative influencer: Ability to build trusted relationships with a variety of internal partners (including Advanced Technology, Product Marketing, Sales, Trust & Safety, Monetization, and more) and align them to shared goals.

• Ownership mindset: Skilled at defining what success looks like, rallying teams, and guiding projects from ideation to successful launch.

• Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience.

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