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

Key responsibilities include:

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

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

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

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Primary responsibilities include:

• Owning independent risk oversight: overseeing global credit portfolios, with a clear view of exposures across credit spread, default, recovery, curve, basis, convexity, embedded optionality, ratings migration, financing, liquidity, and correlation.
• Analysing P&L and risk: analysing risk drivers, P&L attribution, hedging efficiency, scenario behaviour, and tail outcomes for portfolios trading corporate bonds (investment grade and high-yield), leveraged loans, credit indices (CDX, iTraxx), single-name CDS, tranches, and structured products such as CLOs and non-agency MBS.
• Developing and overseeing risk guidelines: establishing guidelines for portfolio construction, concentration, liquidity, gap risk, financing, and drawdown. Ensuring mandates are defined, scalable, and consistently observed.
• Reviewing trade and portfolio construction: reviewing positions with close attention to bond and loan terms, covenants, capital structure, seniority and security, structural protections, embedded optionality (calls, puts, prepayment and extension risk), CDS documentation, index and tranche construction, financing and margin assumptions, and event risk (ratings actions, refinancings, restructurings, and defaults).
• Reviewing portfolio risk: working closely with portfolio managers to assess positions where risk may be mispriced, crowded, imperfectly hedged, or less aligned with mandate, liquidity, or market regime, with particular focus on default and downgrade risk, complex structures, and crowded credit themes.
• Evaluating portfolio manager candidates: assessing prospective Portfolio Manager candidates by testing the strength of their process, risk discipline, hedging approach, portfolio construction, and historical returns.
• Improving risk infrastructure: enhancing the Firm's models, systems, and reporting for credit risk. Working with quantitative researchers and technologists to improve valuation, stress testing, exposure decomposition, default and loss modelling, and real-time reporting.
• Communicating with precision: presenting key exposures, stress results, and changes in market structure clearly to senior leadership and investment teams.
• Monitoring global market developments: tracking primary and secondary market activity, issuance trends, liquidity, market structure, rating migration, default cycles, and regional differences in the U.S., Europe, and Asia that may affect risk-taking and portfolio construction.

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

Responsibilities

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

Qualifications

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

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Primary responsibilities include:

• Owning independent risk oversight: overseeing global convertible bond portfolios, with a clear view of exposures across delta, gamma, vega, credit spread, rates, borrow, financing, liquidity, and correlation.
• Analysing P&L and risk: analysing risk drivers, P&L attribution, hedging efficiency, scenario behaviour, and tail outcomes.
• Developing and overseeing risk guidelines: establishing guidelines for portfolio construction, concentration, liquidity, gap risk, financing, and drawdown. Ensuring mandates are defined, scalable, and consistently observed.
• Reviewing trade and portfolio construction: reviewing positions with close attention to bond terms, embedded optionality, capital structure, stock borrow, dividends, corporate actions, financing assumptions, and event risk. Assessing both directional and relative-value risk.
• Reviewing portfolio risk: working closely with portfolio managers to assess positions where risk may be mispriced, crowded, imperfectly hedged, or less aligned with mandate, liquidity, or market regime.
• Evaluating portfolio manager candidates: assessing prospective Portfolio Manager candidates by testing the strength of their process, risk discipline, hedging approach, portfolio construction, and historical returns.
• Improving risk infrastructure: enhancing the Firm's models, systems, and reporting for convertible bond risk. Working with quantitative researchers and technologists to improve valuation, stress testing, exposure decomposition, and real-time reporting.
• Communicating with precision: presenting key exposures, stress results, and changes in market structure clearly to senior leadership and investment teams.
• Monitoring global market developments: tracking issuance, liquidity, market structure, and regional differences in the U.S., Europe, and Asia that may affect risk-taking and portfolio construction.

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

Key responsibilities include:

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

Qualifications include:

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

Preferred qualifications include:

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

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

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You will join the international Finance Team of the Holidu Group, which operates from three countries and tackles the unique challenges of the digital travel industry. As an Accounting Specialist, you will be part of the Accounting Team, which has grown steadily over the years to meet the demands of a successful scale-up and currently oversees more than 10 companies in and outside of Germany. Our Accounting Team is mainly based in Munich.

When you're not local, we'd love to see you at least once a month in our office – face-to-face interaction is important to us and just more fun!

Your role in this journey

You will report directly to the Director Accounting and support with complex issues as well as continuous process improvement. You will also work on projects and support with special topics, such as M&A issues.

You will review and process business cases for creditors, debtors, and main accounts of our German companies and be responsible for ongoing coordination and maintenance of accounts as well as independent clarification of differences.

You will actively participate in the creation of monthly and annual financial statements, particularly in the creation of the consolidated financial statement for the Holidu Group, consisting of currently more than 10 companies.

You will bring entrepreneurial ideas and establish accounting policies within the further growth of the Holidu Group.

You will create evaluations, reports, and analyses for internal and external stakeholders.

Your backpack is filled with

You have a completed study with a focus on accounting and taxation and ideally a further qualification as a certified accountant or comparable qualifications.

You bring several years of professional experience (5+ years) in the above-mentioned field, ideally in a medium-sized and/or rapidly expanding company with international interfaces.

You are balance-sheet secure according to HGB and ideally already have knowledge of IFRS, as well as sound knowledge of value-added tax and income tax law. When faced with complex questions, you look up the law, research, and seek out possibilities for continuous further education.

You can already demonstrate sound experience with ERP systems, preferably S/4Hana, as well as with consolidation software, preferably Lucanet.

You enrich the team with your practical hands-on mentality combined with strong communication skills.

You are reliable, work very accurately, and have a high level of self-motivation combined with the drive to move and implement something, to look beyond the horizon, and continuously question existing processes. You stand out through a structured and analytical way of working.

You enjoy working in a dynamic environment and have the flexibility to react to changing requirements.

You have a high level of IT affinity and are familiar with MS Office and Google products; basic knowledge of programming languages and AI applications is an advantage.

You have very good German and English language skills in writing and speaking. Any additional foreign language is a plus!

Our adventure includes

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 right away.

Lernen: 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.

Tolle Leute: Become part of 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.

Technologie: Work in a modern tech environment. Experience the pace of a scale-up combined with the stability of a proven business model that lets you continuously develop, test, and optimize new things.

Flexibilität: 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.

Zusätzliche Vorteile: Of course, we offer travel discounts, fitness rebates, and other perks that keep you full of energy. What sets us apart, though, is the opportunity to grow in a dynamic industry with great people and have a lot of fun while doing it.

Want to travel with us?

Apply online on our Career Page! Your first contact will be Max from HR.

We strive for diversity in all areas of our company. We welcome applications from all genders, from all parts of the world, and with various personal backgrounds. You can submit your application without a photo and without specifying your gender, date of birth, marital status, nationality, or degree of disability (if applicable). If you need special arrangements for interviews, office visits, or the entire application process, please contact the HR representative responsible for this position. We will do our best to accommodate your needs.

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Main duties and responsibilities include: Demonstrating strong knowledge of the clinical disease state and treatment guidelines and effectively engaging with stakeholders in clinical discussions to inform access strategy for the CVRM pipeline. Partnering with Brand teams to shape customer communication strategies for the CVRM pipeline and develop promotional assets that reflect access priorities and value messaging including pull-through materials and negotiation frameworks. Contributing to the development and implementation of a cohesive communication strategy for the CVRM pipeline across payer, provider, and patient audiences to drive clarity on product value. Developing compelling product value propositions and value strategies for the CVRM pipeline across market access channels, including payers, IDNs, pharmacies, distributors, and policy stakeholders. Partnering to recommend pricing and compliant payer contracting approaches aligned with brand P&L, including innovative approaches to evolving market challenges and contributing to the continuous improvement of market access strategies and execution. Leading in the design and implementation of affordability programming that ensures patient access while carefully stewarding brand budget and gross-to-net impact. Applying advanced understanding of the US market access landscape and the legal/regulatory environment to ensure compliant, effective messaging and tactics. Leading research and generating insights to inform market access messaging, evidence needs, and customer engagement plans. Leading payer research and landscape assessments to inform scenario planning, launch readiness, and risk mitigation for the CVRM pipeline across all segments.

The ideal candidate will have a Bachelor's degree and 3+ years of experience in one or a combination of pharmaceutical, healthcare, scientific, clinical, institutional or related industry or commercial experience. An advanced degree in Business, Marketing, or Science is desirable. The candidate should demonstrate learning agility, experience developing and executing strategy, managed care/payer experience, and teamwork and leadership skills.

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The Specialist, Global Clinical Solutions (IRT Lead) provides global centralized services across drug projects and related activities, helping clinical development programs meet time, cost, and quality expectations across all delivery models.

Key Responsibilities

• Deliver GCS services that support clinical development activities across multiple projects and stakeholders.
• Set up and maintain systems, tools, and data associated with projects, services, and technology in partnership with Study Teams and external partners, ensuring appropriate standards, completeness, quality, and consistency.
• Support life cycle management and business continuity for operational processes, procedures, systems, tools, standards, procedural documentation, and training materials.
• Provide support to user communities by conducting relevant process, system, and tool trainings, facilitating knowledge sharing, establishing best practice, and maintaining effective communication with stakeholders across GCS and AstraZeneca.
• Perform analyses of processes and tools to define business usage and identify opportunities to improve efficiency and effectiveness of systems, methods, and processes; support the development of User Requirement Specifications and User Acceptance Tests.
• Contribute to business cases for continuous improvement projects that enhance how we deliver clinical studies.
• Prioritize workload effectively to achieve personal and work unit targets in a dynamic environment.
• Participate in change initiatives that evolve our ways of working and enable better outcomes for patients.

Essential Skills and Experience

• Bachelor's degree with 0+ years of work experience in the pharmaceutical industry or in clinical study delivery/clinical development processes.
• Proven organizational and analytical skills, as well as proven ability to multitask.
• Strong time management skills and task-oriented performance.
• Previous administrative training/experience.
• Computer proficiency.
• Excellent knowledge of spoken and written English.
• Strong communication skills.

Desirable Skills and Experience

• A good understanding of the clinical study process.
• Programming experience or programming aptitude.
• Knowledge of pharmaceutical drug development and clinical study processes and associated government regulations, ICH GCP.
• Shown willingness and ability to train others on study support processes and procedures.
• Demonstrate the ability to proactively identify risks and issues as well as possible solutions.
• GxP trained.

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Principal Responsibilities:

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

Qualifications:

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

Benefits:

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

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

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We are looking for a strong technical leader with financial markets technology experience and real-time market data expertise to design, build, and support our global real-time market data platform. This role emphasizes technical leadership, architectural ownership, and cross-team coordination rather than people management.

Principal Responsibilities:

• Act as the technical owner for a major market data workstream, setting technical direction, defining architecture, and driving execution across the full lifecycle.
• Collaborate with hardware and software teams across divisions to design and build real-time market data processing and distribution systems.
• Lead and drive new technical initiatives for the team, including evaluating technologies, defining standards, and establishing best practices.
• Design and develop systems, interfaces, and tools for historical market data and trading simulations that increase research productivity.
• Architect and implement components of an enterprise market data platform, including components for caching, aggregation, conflation and value-added data enrichment.
• Optimise platform performance using network and systems programming, and advanced low-latency techniques (CPU, NIC, kernel, and application-level tuning).
• Lead the design and maintenance of automated test and benchmark frameworks, and tools for risk management, performance tracking, and system validation.
• Provide technical leadership for the support and operation of both enterprise real-time market data environments, including coordinating internal, vendor, and exchange-driven changes.
• Design and engineer components to automate support and management of the market data platform, including monitoring, real-time and historical metrics collection/visualisation, and self-service administrative/user tools.
• Serve as a primary technical liaison for users of the market data environment (Portfolio Managers, trading desks, and core technology teams), translating requirements into robust technical solutions.
• Lead the enhancement of processes and workflows for operating the market data platform (release/deployment, incident management and remediation, exchange notification handling, defining and enforcing SLAs).
• Mentor and influence other engineers through code reviews, design reviews, and hands-on guidance, fostering a culture of technical excellence and accountability.

Qualifications / Skills Required:

• Degree in Computer Science or a related field with a strong background in data structures, algorithms, and object-oriented programming in modern C++.
• Deep understanding of Linux system internals and networking, especially in low-latency and high-throughput environments.
• Strong knowledge of CPU architecture and the ability to leverage CPU capabilities for performance optimisation.
• Demonstrated experience acting as a technical lead or senior engineer owning complex systems or workstreams end-to-end (design, delivery, and operations).
• Able to prioritise and make trade-offs in a fast-moving, high-pressure, constantly changing environment; strong sense of urgency, ownership, and follow-through.
• Strong belief in and practice of extreme ownership, with a track record of taking accountability for systems in production.
• Effective communication and stakeholder management skills: able to work closely with business and technology users, understand their needs, and drive appropriate technical solutions.
• Experience building solutions on cloud environments such as GCP and AWS.
• Knowledge of additional programming languages such as Java, Python, or scripting (Perl, shell).
• Technical background in application development on complex market data systems (e.g., Bloomberg, Thomson Reuters, etc.).
• Experience supporting market data environments within a global organisation, including internally developed DMA feed handlers and distribution infrastructure.
• Strong understanding of market data concepts and functionality, including data models (fields/messages), protocols (e.g., snapshot + delta), order book representations (L1/L2/L3), recovery, and reliability.
• Hands-on Site Reliability Engineering or DevOps experience, including system administration, automation, measurement, and release/deployment management.
• Experience with monitoring, metrics, and command/control tooling for distributed market data platforms, with the ability to evaluate existing solutions and drive enhancements across development and operations.
• Ability to operate with a high level of thoroughness and attention to detail, demonstrating strong ownership of deliverables and production systems.

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

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In this role, you will work collaboratively with brokers, exchanges, ECNs, and third-party platforms across all asset classes and regions. You will be responsible for troubleshooting production issues in a Level 3 support environment and have excellent written and verbal communication skills.

To be successful in this role, you will need strong experience in financial markets technology, including Java development, FIX protocol, and Linux development. You will also need a strong understanding of object-oriented programming, networking protocols, and market structure across equities, futures, options, and FX.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Ensures relevant training is completed prior to performing tasks.

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

Essential Skills/Experience:

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

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

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

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

Demonstrate understanding and experience in query management process and reconciliation activities

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

Excellent written and verbal communication skills

Ability to work in a global team environment

Excellent organizational analytical skills and high attention to detail

Desirable Skills/Experience:

Demonstrated knowledge of clinical and pharmaceutical drug development process

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

Demonstrated ability to work effectively with external partners

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

Knowledge of SQL or SAS software

Experience leading clinical studies as Data Management Lead

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The successful candidate will thrive in a rapidly changing market access environment, create clear goals and inspiring plans, develop strong partnerships, and make difficult decisions. You will manage all marketing activities for the CVRM pipeline to support company objectives. You will conduct analyses of the market segment, including identification of key growth drivers, opportunities, and risks. You will incorporate results of analysis into product strategy.

Key responsibilities include:

• Demonstrating expert knowledge and understanding of the clinical disease state to inform value strategy and access planning.
• Leading the development of customer education materials and tactics to effectively execute the market access strategy for the CVRM pipeline across stakeholders.
• Translating scientific and clinical evidence into clear market value propositions that resonate with payers, providers, and policy stakeholders.
• Creating an integrated payer insight, evidence generation, and customer engagement plan to support access, reimbursement, and pull-through for the CVRM pipeline.
• Aligning closely with brand teams to develop product value propositions and comprehensive value strategies across market access channels.
• Partnering to recommend pricing and compliant payer contracting approaches aligned with brand P&L, including innovative approaches to evolving market challenges and contributing to the continuous improvement of market access strategies and execution.
• Leading in the design and implementation of affordability programming that ensures patient access while carefully stewarding brand budget and gross to net impact.
• Maintaining expert understanding of the US market access landscape, including legal, regulatory, and compliance requirements affecting coverage and reimbursement.
• Applying strong financial acumen to understand US payer deal/no-deal analysis, informing contracting strategies and sustainable access decisions.
• Developing robust measurement, analytics, and reporting plans to track performance, optimize tactics, and inform strategy evolution.
• Leading and contributing to innovative approaches to meet evolving market access requirements, leveraging insights, data, and external trends.
• Communicating brand aspiration and market access strategy to key field-based Market Access teams, enabling flawless execution and alignment.

Essential requirements include:

• Bachelor's degree
• 5+ years of experience in one or a combination of pharmaceutical, healthcare, scientific, clinical, institutional, or related industry experience
• 3 years of commercial experience
• Understanding of the US market access landscape and the legal/regulatory environment for pharmaceuticals/healthcare industry required

Desirable requirements, skills, and capabilities include:

• Advanced degree in business, marketing, or science
• Experience in customer-facing roles
• Financial and forecasting experience
• Proven track record of consistent achievement or overachievement in developing and delivering strategic and operational plans within a therapeutic or business area
• Demonstrated experience in working within cross-functional business units essential
• Strong financial acumen with the ability to assess and drive results
• Strong communication, presentation, collaboration, and negotiation skills
• Ability to successfully lead through change, complexity, and ambiguity in a highly matrixed environment
• Demonstrated learning agility

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Your primary responsibilities will include providing leadership to define and coordinate the data strategy that enables data-driven, model-based analytics for improved gene-edited germplasm, including accelerating data connectivity across the editing pipeline with multi-functional teams. You will also lead cross-functional projects with partners across Crop Science to automate decision making and connect data assets that accelerate development of gene-edited products.

In addition, you will translate complex business data knowledge, scientific workflows, and product needs into clear technical implementation plans that can be executed by data scientists, data engineers, and developers. You will design and guide the development of robust data systems and analytics pipelines that support a wide variety of genomic and computational biology use cases and can scale with future business needs.

As a key communicator and integrator between scientific, technical, and business stakeholders, you will align roadmaps, prioritize initiatives, and ensure that data and analytics solutions deliver measurable value. You will also attract, mentor, and develop talent, serving as a coach for peers and colleagues in key areas of expertise to support their professional growth and build a strong data and analytics community.

Finally, you will champion and support Health, Safety & Environment, Compliance, Business Conduct, and Human Rights policies and culture in all activities and collaborations.

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The candidate will be a key contributor in the review and validation of pricing models and methodologies, the analysis and explanation of P&L, and the onboarding of new and complex products.

Principal Responsibilities:

• Valuations , Oversee and enhance the configuration of internal systems and calibration of pricing models for equity derivative products. Source, validate, and analyze market data, including external volatility surfaces and curves, to ensure accuracy and integrity of marks.

• Pricing & Mark Sign-Off , Maintain intraday and end-of-day pricing procedures and controls. Responsible for publishing and signing off on the firm's official end-of-day marks, surfaces, and curves across equity volatility and exotic products.

• P&L Explanation & Attribution , Analyze and explain daily P&L, decomposing performance into its key drivers: Greeks-based attribution, idiosyncratic events, and trading activity. Identify, investigate, and resolve breaks in collaboration with trading, risk, and finance. Prepare attribution reports for senior management and run ad-hoc analysis when required.

• Methodology Review & Testing , Evaluate and test pricing and marking methodologies proposed by quant or vendor teams. Provide practitioner-level feedback on model assumptions, calibration approaches, and operational applicability.

• New Product Onboarding , Oversee the setup and integration of new equity derivative products into the firm's infrastructure, coordinating across technology, quant, risk, and portfolio management.

• Primary Interface , Act as a senior point of contact for portfolio managers on pricing, valuation, risk, and product setup matters. Coordinate across departments to resolve issues efficiently.

Qualifications/Skills:

• 5+ years of professional experience in a relevant role such as equity derivatives trading, trader assistant, risk management, product control, or valuations

• Advanced degree in a quantitative discipline preferred

• Deep knowledge of Equity Derivative products including vanilla options, variance/volatility swaps, TRF/TRS, dividend swaps, and exotic products , with particular emphasis on volatility products

• Strong familiarity with P&L explanation and attribution in an equity derivatives context

• Demonstrated ability to understand, evaluate, and test complex pricing methodologies

• Programming experience (Python, VBA, etc) needed with a focus on data analysis.

• Proficiency with Bloomberg and Reuters and other market data sources

• Experience engaging and collaborating with technology and quant teams to drive system enhancements

• Highly detail-oriented with strong ownership, sound judgment, and the ability to prioritize in a high-pressure 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 $160,000 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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Around the world, growth is bringing new prosperity; businesses are pioneering new trade routes; and new centres of wealth and influence are emerging. At HSBC, we're inspired by the ways the world is changing for our business and for our customers.

That's why we're looking to connect with the best and the brightest people from across the globe. With so much to offer, we're ideally placed to help you realise your ambitions.

During your Placement, you will be challenged to use your talents and academic knowledge to add value to the bank and improve your professional and personal skills. You will receive practical training to complement your academic studies, embedding our values while growing your career.

You will benefit from building your skills and banking knowledge in a real working environment, and will be provided opportunities to take on responsibilities in a selection of interesting projects.

Malaysia Student Work Placement opportunities are available in the following business areas:

• International Wealth and Premier Banking: We help customers to take care of their day-to-day finances and to manage, protect and grow their wealth. Our international network and breadth of expertise enable us to support individuals, families, business owners, investors and entrepreneurs around the world.

• Corporate Institutional Banking (Business Banking and International Subsidiary Banking): We provide businesses with banking services in both home markets and overseas. These include trade and receivables finance, global liquidity and cash management, multi-currency accounts, commercial cards, overdrafts, working capital finance, term loans and syndicated, leveraged, acquisition and project finance.

• Global Functions (Risk, Compliance, Legal, Marketing, Communications, Human Resource and Finance): It plays a vital role in supporting the bank's Global Businesses, which includes areas from legal, risk and finance to human resources, sustainability, marketing and communications.

• Digital Business Services (Operations, Technology and Key Central Business Services): Our Digital Business Services teams are the foundation of HSBC, providing essential support across technology, operations and key central business services for our global businesses and functions. We play a vital role in driving great experiences for customers and colleagues, and enabling the bank's strategy.

Qualifications

• Availability to work full time from May/June 2026 for a period of 3 to 6 months.

• Qualification: Financial/Accounting/Business Administrative/IT programming and open to any background of studies.

• Good English communication skills, both verbal and written.

• Good learning attitude and pleasant personality to work with multiple stakeholders.

• Proficient computer skills in Microsoft Word, Excel and PowerPoint.

• The legal right to work in Malaysia.

Due to the urgent hiring need, candidates with immediate right to work locally and no relocation needed will be prioritised.

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As a Consultant Specialist, you will be responsible for understanding release cycles within GPE and aligned testing associated with it. You will also manage the release deployment on various environments, manage automation initiatives required for the stable functioning of the environments like healthchecks / monitoring, triage and escalate High priority Incidents to get focused resolutions, reduce overall downtime for end-to-end testing by identifying opportunities in environment upgrades, communicate with regional/country project teams, technical leads and Asset teams, drive root cause analysis with involved teams, analyse issues monthly and run continuous improvement cycles for incidents, raise engagement with partner application / other teams to facilitate the issue resolution, engage and drive resolution where necessary; aiding support to SME's from application teams to facilitate resolution, report updates for ongoing issues to stakeholders, including exec level management.

You will also be responsible for infrastructure management activities which comprise of critical vulnerability fixing, OS/DB/MQ patching, certificate renewals etc. Additionally, you will lead and mentor team to achieve above responsibilities successfully.

Knowledge & Experience / Qualifications:

• Must have strong UNIX and shell scripting experience.
• Basic knowledge on middleware products like WAS/MQ.
• Experience of DevOps tools like Jenkins, GITHUB etc.
• Experience of Control-M, Connect Direct (C:D).
• Experience of deployment / change pipelines like CI / CD.
• Flexible to work in shifts, on weekends, after work hours and on call support as per the need of the project.
• Good understanding of the Payment schemes and e2e flows for US scheme payments.
• Strong communication skills (verbal, written, and presentation of complex information and data).
• Stakeholder Management and working in dynamic environment

Time management - Ability to prioritize project criticality based on requirements and business needs. Strong analytical skills supported by good decision making and problem solving skills & attitude. Ability to work independently with a hands-on approach. Good project management skills. Knowledge of programming language such Java or Python. Knowledge Automation tools. Knowledge of multiple clearing systems. Hands on experience of CI/D pipelines /51/LP/WX

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As an engineering graduate, you could be working on a wide range of exciting projects – what you work on will depend on your team, but wherever you are, you'll be helping to shape technology that supports over 200,000 colleagues and 40 million customers around the world.

Here's a taste of what you could get involved in:

• Help HSBC take a digital-first approach – developing new products and services, enhancing existing ones, and providing software support that keeps our global teams moving.
• Play a key role in designing, testing, and maintaining the systems that power how we work, drive efficiencies, and enable change across HSBC.
• Collaborate with engineers, architects, and other colleagues across the business to understand what's needed and help set the direction for new products and services.
• Build solutions that meet specific business needs, are easy to use and support, and can be deployed at scale across the globe.
• Get hands-on with the latest code frameworks, programming languages, and AI tools, while learning modern DevOps practices – blending software development and operations to deliver faster and better solutions.
• Help monitor performance, spot and solve technical issues, and recommend improvements to keep everything running smoothly.

Over two years, you'll take part in a mix of technical training, skills coaching, and hands-on experiences that will help you grow as an engineer.

Technical development: From classroom sessions to self-led learning and exciting hackathons, you'll get the chance to explore new coding languages, tech stacks, and engineering best practices. Certifications that count: You'll have funding to complete industry-recognised certifications in platforms that are relevant to your role, with opportunities for further training in other languages and tools supported by your team.

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Your primary responsibilities will include working with our salesforce to design an innovative product roadmap, as well as the actual products, to meet new or future client demand. You will also be responsible for helping to design compelling marketing campaigns around these products to maximise engagement with our client base.

In addition, you will oversee the full spectrum of product launch, including onboarding into our systems, to ensure risks generated by these products are well controlled by our organisation. You will liaise with our relevant trading teams to incorporate feedback, leverage our strengths, and plan out necessary future capabilities.

Collaboration with our internal tech teams will be essential to streamlining the trade volumes resulting from our equity derivatives and QIS businesses.

This is a full-time position, Monday to Friday, 40 hours per week, with a salary range of $250,000.00 to $260,000.00 per year.

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

Key responsibilities include:

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

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

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

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

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

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

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

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

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

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

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

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

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

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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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This role is ideal for someone who blends program leadership, systems-building obsession, technical fluency , and who thrives in fast-moving, ambiguous, and mission-driven environments.

As a Program Manager, you will:

Serve as the contractual and internal program lead across a large-scale public sector engagement, integrating multiple sub-efforts under one umbrella (e.g., data pipelines for computer vision, software deployments for GenAI solutions) Own relationships with senior government stakeholders and ensure that we meet contractual obligations, performance metrics, and reporting requirements Own relationships with subcontractors to ensure successful delivery of the prime contract Lead formal engagements such as contract reviews, customer program syncs, performance assessments, and reporting cycles Lead and supervise a team of 3-4 delivery managers who run day-to-day customer engagement efforts Oversee a technical delivery team that will drive product roadmap alignment that adapts evolving customer needs

Must haves:

An active TS/SCI clearance 10+ years professional experience, ideally managing complex technical programs for DoD or national security customers A proven ability to lead large, cross-functional efforts across delivery, contracts, and customer teams A healthy obsession with establishing and driving adoption of programmatic systems and processes; plus the ability to exert influence and manage associated change Familiarity with FAR-based contracts and program structures like IDIQs, task orders, and OTAs Strong business acumen with the ability to manage performance metrics, contract deliverables, and program budgets A track record of high ownership in ambiguous environments Excellent written and verbal communication skills , especially with senior government stakeholders Deep curiosity about agentic AI and its application to homeland layered defense A willingness to travel up to 25% of the time

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

Proficiency in Python, SQL or other programming languages A proven track record in B2B + B2G client facing roles and expanding client relationships Prior experience delivering technical solutions to government customers Domain expertise in a relevant field (e.g. modeling and simulation, joint planning processes, intelligence workflows, etc)

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As a Solutions Engineer, you will be part of helping shape our early-stage federal business by re-envisioning our commercial product offerings for our federal clients.

Key responsibilities include:

• Becoming an expert on the end-to-end of Scale Products
• Creating tailored demonstrations and collateral for federal stakeholders at both the executive and analyst level
• Partnering with Scale Account Executives to deliver customer pilots according to requirements agreed by the customer
• Integrating and ingesting a variety of external datasets to solve government use cases
• Interacting with customers on a day-to-day basis to understand their pain points and design solutions
• Working with internal product and engineering teams to turn customer requirements into Scale capabilities
• Understanding public sector mission sets and strategic objectives to better showcase Scale's products

Ideal candidates will have:

• A strong engineering background, preferably in computer science, mathematics, or other quantitative fields
• Strong communication skills, ability to interact with both technical and non-technical customers at all levels
• At ease with technology, able to quickly pick up new tech stacks and troubleshoot
• Previous experience working with Public Sector customers
• Proficiency in scripting languages such as Python, Javascript/Typescript, Bash scripts, or programming languages
• A strong desire to roll up your sleeves and help build a business in an extremely fast-paced environment
• Active US Government Security Clearance (TS / SCI required)
• Based in the Washington, DC area or willing to relocate
• Background working in AI/ML, particularly Generative AI and Large Language Models

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

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Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era.

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.

The Okta Technical Account Management (TAM) Team

The TAM team empowers Okta customers to deliver secure, scalable, and transformative identity solutions by acting as their trusted identity coach.

We drive lasting success through elevated technical maturity, proactively guiding their identity decisions and long-term identity vision.

We guide a customer’s strategy for customer identity, workforce identity, and security posture while driving value in Okta’s suite of products and, ultimately, retention at contract renewal.

The Auth0 Technical Account Manager Opportunity

This is an exciting opportunity for an experienced technical expert to join the Okta Japan TAM team.

This role specialises in the Auth0 platform, which is an easy-to-implement, adaptable authentication and authorization platform for Consumer and SaaS applications.

You will be working with a portfolio of well-known brands on their Auth0 implementations as an identity coach.

Building close relationships with technical stakeholders from early in the customer lifecycle, you will learn their business, goals, challenges and technical landscape,

ensuring Okta delivers on a long-term strategic plan to help solve these challenges and realise the value of their Auth0 platform investment,

while continuing to evolve to solve new objectives and improve security posture.

Responsibilities

Serve as a trusted Identity Coach, guiding customers to achieve their objectives through timely technical guidance, advice, enablement, and best practice sharing.

Learn our customers’ business, gaining insights into their strategies, goals, and challenges, through the lens of identity.

Build and nurture long-term relationships with stakeholder personas from developers, engineering leads, app builders, and product owners, through to C-level exec, evolving customers into Auth0 champions.

Conduct quarterly customer meetings with executives to recap past value, show progress on current initiatives and future state or roadmap items.

Conduct ad hoc customer meetings with technical practitioners on identity solutions, technical guidance and best practices.

Monitor customer health, satisfaction, and engagement, proactively addressing risks and escalations.

Collaborate with stakeholders to develop strategies to increase customer adoption, and uncover growth opportunities that will solidify Auth0 for the entirety of customer identity.

Analyse trends, identify areas for improvement, and take action to optimise customer outcomes.

Act as a product evangelist, educating customers on new features and alignment of roadmaps to enhance their experience.

Represent the voice of the customer, ensuring their needs and feedback shape the company’s approach.

Requirements

3+ years of total experience in information technology, with a Bachelor’s degree; or an advanced degree without experience; or equivalent experience.

Native-level Japanese proficiency with excellent communication and reading comprehension skills.

Ability to ask questions and express opinions in English via email, Slack, or one-on-one conversations.

Familiarity with the following core CIAM areas or technical competencies:

Technologies and protocols to support authentication and authorization (OAuth, OpenID Connect, and SAML 2.0)

Consuming APIs and HTTP request methods

High-level understanding of custom consumer and SaaS apps, both web and native

Passion for learning cybersecurity principles for IT and consumer applications

Experience with SaaS/PaaS/cloud-based services, driving their adoption, integration, and ongoing use

Basic knowledge of software development lifecycle, interest in programming languages, and application builder practices

A customer-first mindset with the energy and problem-solving skills to address technical challenges and achieve customers' business and technical objectives

Ability to manage multiple projects simultaneously, perform customer research, generate reports, and analyse data.

Strong presentation and whiteboarding/diagram skills

Excellent communication skills with the ability to set expectations and communicate goals and objectives with customers at various levels, from a developer to C-level exec

Ability to influence customer behaviour & health metrics across a portfolio of customers

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You will be responsible for owning functionality and scalability features by taking responsibility from inception to deployment, upholding our high engineering standards and bringing consistency to the codebases, infrastructure, and processes you will encounter.

We're looking for folks with an interest in building products and tools, and who are comfortable in dealing with lots of moving pieces. You'll have the opportunity to learn and push the frontier of providing the best financial software experience to help companies grow.

This role will be based in our Vancouver Office, which is a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require 3 days per week in the office - Monday, Wednesday, and Thursday.

As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities:

• Own functionality and scalability features by taking responsibility from inception to deployment.
• Be responsible for full software development lifecycle - design, development, testing, operating in production.
• Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter.

Requirements:

• 7+ years of professional experience in a software engineering role or equivalent experience.
• Experience building and designing scalable backend systems.
• Experience working with SQL or NoSQL databases.
• Experience working with backend programming languages (Java, Kotlin, Python).
• Familiarity with software engineering development cycles.
• Ability to hold yourself and the team to high standards.
• Strong communication and interpersonal skills.
• English proficiency/fluency, both written and speaking (note: interviews will be conducted in English).

Bonus points:

• Experience collaborating with experts in product, design, and operations.
• Familiarity with functional programming languages.
• Experience driving initiatives at a broader level across an organization or company.
• Strong writing skills.
• Proactive approach.

Compensation: The expected salary range for this role is $192,000 - $240,000 + equity. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity.

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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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We're looking for a Senior Gameplay Programmer with a Unity background to help us implement our new music course. You will help build the best possible user experience for our learners through high-quality interactive lessons.

Responsibilities:

• Implement the new music course within the Duolingo app using embedded Unity.
• Productionize the existing prototype, turning it into robust, release-ready code.
• Work embedded within the Duolingo app architecture to ensure seamless integration of Unity.
• Collaborate with designers and product partners to refine the look and feel, ensuring a high-quality, gamified user experience.
• Proactively identify issues and opportunities to improve the learner experience.
• Engage in rapid prototyping to test new music mechanics and interaction models.
• Ensure technical mistakes or inconsistencies are fixed as quickly as possible.

Requirements:

• Strong experience with Unity development (C#), specifically for mobile platforms (iOS/Android).
• Background in the gaming industry with a portfolio demonstrating high-quality game feel and polish.
• Sharp UX instincts and experience implementing complex UI/UX designs.
• Strong business sense, with proven experience working effectively with multi-functional team members (e.g. engineers, product, and design).
• Thrives in a fast-paced, data-driven, team-oriented environment.
• Strong interest in Duolingo and our mission.

Exceptional candidates will have:

• Experience embedding Unity as a library (UaaL) into native mobile applications.
• Background in music, music theory, or audio programming.
• Experience in web/mobile localization workflows and tools.
• Familiarity with mobile gaming, with an understanding of game mechanics.

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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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As a Technical Enablement Lead, you'll own Claude Code enablement,building demos, labs, and content that help sellers showcase agentic coding. This is an ideal role for an engineer who loves teaching, loves developer tools, and wants to shape how field teams talk about the future of AI-assisted development.

Key responsibilities include:

• Deliver Claude Code training for onboarding and ongoing enablement programs
• Create and maintain training content: demo scripts, hands-on labs, use case libraries, quick-reference guides
• Build compelling demo scenarios across industries and developer personas
• Develop competitive positioning content,battlecards, differentiation guides, objection handling
• Run demo coaching sessions and weekly office hours
• Translate new Claude Code features into field-ready content rapidly
• Gather field feedback and track content effectiveness to continuously improve programs

Requirements include:

• 7+ years in a technical role (software engineering, solutions engineering, developer advocacy, or technical enablement)
• Strong programming skills,you've shipped real code recently, not just slideware
• You use AI coding tools (ideally Claude Code) extensively in your own work,not as a novelty, but as core infrastructure for how you build and ship
• Track record delivering live technical training or talks
• Experience partnering directly with sales, solutions engineering, or GTM teams

Nice to have:

• Experience coaching others on demos or presentations
• Familiarity with enterprise developer workflows
• Public speaking, conference presentations, or community-facing developer advocacy

Location & Travel:

Location is flexible, with preference for proximity to a major hub (SF, NYC, or Seattle). Regular travel is expected for in-person training delivery and field events.

Annual compensation range for this role is $270,000-$310,000 USD.

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Your responsibilities will include identifying areas where ML can create value for our customers, identifying the right ML framing of product problems, working with teammates and Product and Design stakeholders, conducting exploratory data analysis and research, deeply understanding the problem area, researching and identifying the right algorithms and tools, being pragmatic, but innovating right to the cutting-edge when needed, performing offline evaluation to gather evidence an algorithm will work, working with engineers to bring prototypes to production, planning, measuring & socializing learnings to inform iteration, and partnering deeply with the rest of team, and others, to build excellent ML products.

To be successful in this role, you will need to have broad applied machine learning knowledge, 3-5 years applied ML experience, practical stats knowledge (experiment design, dealing with confounding etc), intermediate programming skills, strong communication skills, both within engineering teams and across disciplines, comfort with ambiguity, typically have advanced education in ML or related field (e.g. MSc), and scientific thinking skills. Bonus skills and attributes include track record shipping ML products, PhD or other experience in a research environment, deep experience in an applicable ML area. e.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering, strong stats or math background, visualization, data skills, SQL, matplotlib, etc.

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We are seeking a Senior Solutions Architect to join our team in Paris. As a Senior Solutions Architect, you will be responsible for providing technical and business value to Databricks customers in collaboration with Account Executives.

The location for the role should be in the Paris region (i.e. within a commutable distance for a hybrid schedule).

At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone.

You will be an essential part of this mission, using your technical expertise to demonstrate how our Data & Intelligence Platform can help customers solve their complex data challenges.

Responsibilities:

• Form successful relationships with strategic enterprise clients within the Greenfield territory,
• Operate as an expert in big data analytics to excite customers about Databricks,
• Develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform,
• Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications,
• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:

• Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions,
• Develop customer relationships and build internal partnerships with account executives and teams,
• Experience with managing strategic enterprise accounts,
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark,
• Proficient with Big Data Analytics technologies, including hands-on expertise with complex proofs-of-concept and public cloud platform(s),
• Experienced in use case discovery, scoping, and delivering complex solution architecture designs to multiple audiences requiring an ability to context switch in levels of technical depth.

Mandatory requirements:

• The location for the role should be in the Paris region (i.e. within a commutable distance for a hybrid schedule),
• Flexibility to travel (up to 30% as required for customer meetings, events and trainings),
• Business proficiency in both French and English required.

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Training on natural and experimentally-derived data is a core aspect of how our AI models learn to generate therapeutic molecules with exceptional properties. We invest deeply in building and scaling data sources to train and evaluate our models for maximal performance. At the same time, careful validation in orthogonal, translationally-relevant assays is crucial to orient our models.

We are seeking a senior scientific leader versed in high-throughput and translational biology to drive the continued growth and impact of our Palo Alto Lab. You will be a force multiplier for our scientists and engineers, ensuring a high standard of scientific rigor and output in a fast-paced, dynamic environment. You will also interface closely with our AI team to maximize the impact of internal data on Inceptive’s foundation models.

Your Mission, should you choose to accept it - Lead development and scale-up of high-throughput assays across in vitro, cellular, and in vivo systems, leveraging multiplexed assays and laboratory automation - Define and execute a lab strategy aligned with Inceptive’s therapeutic and platform priorities, while remaining flexible as modality and partnership needs evolve - Champion an interdisciplinary culture, encouraging curiosity, rigor, and collaboration across scientific boundaries - Manage, mentor, and develop a multidisciplinary team of scientists and engineers that rapidly generates high-impact biological data to improve and validate AI design models - Oversee the development of industry-standard validation assays to keep models and data generation aligned with downstream therapeutic application

Qualifications - PhD and 6+ years of post-PhD experience in industrial research applied to drug development - Experience managing and mentoring a data-driven lab of 10+ scientists - Experience using high-throughput and/or highly multiplexed assays to generate rich datasets from mammalian cells - Proven ability to set scientific direction while also executing operationally - Deep understanding of theory, techniques, and experimental design in molecular and cellular biology - Visualization, analysis, and statistics applied to complex biological datasets - Availability to work with team members across US and Europe, with meetings starting at 7am PT - Readiness to travel several times a year for company retreats and business events - We value in-person collaboration and expect candidates to work at our lab location

Preferred skills - Translational experience with mRNA, oligonucleotides, or other genetic medicines - Expertise in immunology and/or cell therapy - Hands-on experience in RNA biology and biochemistry - Scientific programming in Python - Hands-on experience with modern data engineering workflows

Compensation $245K – $305K + Bonus + Equity

What we offer - A competitive compensation package - 30 days paid vacation per year - Comprehensive health insurance for US based Beginners - 401K with company match for US based Beginners and Direktversicherung for German Beginners - Quarterly company-wide retreats - Monthly wellness benefit - Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland - Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and Hone - A buddy to help you get settled *Varies by country and does not apply to internships

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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.

Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust.

Visit mixpanel.com to learn more.

About The Support Team

Mixpanel Support is a team of talented problem-solvers from diverse backgrounds. We care deeply about helping our customers be successful and enabling them to get value from their data.

We are located all over the world in San Francisco, Barcelona, London, and Singapore...

About The Role

The right candidate is an avid learner, an advocate for customers, and a collaborative teammate. The main responsibility of a Support Engineer is to help users solve technical challenges and use Mixpanel to make impactful product decisions.

We’ve had team members focus on developing their technical skills to join the product and engineering teams, hone their customer-facing skills to become customer success managers or sales engineers, and take on leadership roles in the Support organization.

Responsibilities

The core responsibility of a Support Engineer is to support our customers at every turn in the Mixpanel journey by providing answers to product questions, sharing best practices, and debugging technical issues.

You'll also develop your technical skills, collaborate with our Product team to improve our product, learn product analytics, and mentor new team members.

Become a Mixpanel product expert - you will help users understand our reports and features, help them use our APIs and SDKs, share best practices, and resolve account issues

Respond to customer inquiries via Zendesk email, chat, Slack, and phone calls

Investigate and document bugs and feature requests to share with our Product and Engineering teams

Provide feedback regarding internal support processes, product functionality, and customer education resources to improve the customer experience

Shape the product by regularly working closely with PM’s, engineers, and designers to incorporate customer learnings into change

We're Looking For Someone Who Has

Experience providing customer facing SAAS support (in customer support, professional services, technical account management or similar)

Ability to communicate technical concepts effectively in a clear, friendly writing style

Excellent problem-solving and analytical skills

Programming experience, understanding of web & mobile technologies, and interacting with APIs

Experience with debugging and collaborating with engineering to resolve complex technical issues, especially with JavaScript, Python, or mobile technologies

Ability to be resourceful and resilient when faced with ambiguity and new challenges

Dedication to developing expertise in a complex and constantly evolving product

Interest and aptitude to develop technical skills and learn new technologies

Experience providing SLA based support and/or dedicated support to strategic customers

Speak Hebrew and fluent English

Bonus Points

Experience with Mixpanel or other analytics tools

Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.

Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.

Benefits and Perks

Comprehensive Medical, Vision, and Dental Care

Mental Wellness Benefit

Generous Vacation Policy & Additional Company Holidays

Enhanced Parental Leave

Volunteer Time Off

Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break

Culture Values

Make Bold Bets: We choose courageous action over comfortable progress.

Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.

One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.

Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.

Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.

Why choose Mixpanel?

We’re a leader in analytics with over 9,000 customers and $277M raised from prominent investors: like Andreessen-Horowitz, Sequoia, YC, and, most recently, Bain Capital.

Mixpanel’s pioneering event-based data analytics platform offers a powerful yet simple solution for companies to understand user behaviors and easily track overarching company success metrics.

Our accomplished teams continuously facilitate our expansion by tackling the ever-evolving challenges tied to scaling, reliability, design, and service.

Choosing to work at Mixpanel means you’ll be helping the world’s most innovative companies learn from their data so they can make better decisions.

Mixpanel is an equal opportunity employer supporting workforce diversity.

At Mixpanel, we are focused on things that really matter,our people, our customers, our partners,out of a recognition that those relationships are the most valuable assets we have.

We actively encourage women, people with disabilities, veterans, underrepresented minorities, and LGBTQ+ people to apply.

We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

Pursuant to the San Francisco Fair Chance Ordinance or other similar laws that may be applicable, we will consider for employment qualified applicants with arrest and conviction records.

We’ve immersed ourselves in our Culture and Values as our guiding principles for the impact we want to have and the future we are building.

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In this role, you will participate in the full software lifecycle , from design and implementation to deployment and long-term operation , and will collaborate with engineering teams to evolve release automation, improve tooling, and reduce manual steps in how we build and ship Temporal.

Key responsibilities include designing, building, and maintaining tools and systems that support release automation and deployment workflows, writing clean, reliable, and concurrent code that supports distributed systems, collaborating with cross-functional teams to understand and improve release quality and developer productivity, documenting technical designs, deployment practices, and operational procedures, and participating in small-team design reviews and contributing practical engineering solutions.

As a Senior Software Engineer, you will have the opportunity to explore new ways to use Temporal to power the release and deployment lifecycle, deepen your understanding of Temporal's architecture and service interactions, and experiment with new automation patterns, testing strategies, and workflow designs that increase release confidence.

To be successful in this role, you will need strong coding ability, especially in languages used at Temporal (e.g., Go, Java, or similar), a solid understanding of concurrency, distributed systems, and multi-threaded programming, experience contributing to backend systems, tooling, infrastructure, or developer workflows, a track record of solving moderately complex problems with reliable, maintainable solutions, and the ability to collaborate effectively in a remote, fast-paced environment.

Additionally, you will have familiarity with release automation concepts, CI/CD pipelines, build tools, or deployment orchestration, experience with cloud environments (AWS, GCP) and container tooling, and exposure to distributed systems orchestration, observability tooling, or platform engineering.

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The AI SDK team is pushing to keep Temporal at the forefront of AI applications. Because the landscape is constantly changing, we engage heavily in prototyping to ensure that the abstractions we develop meet the needs of emerging applications. We also ensure that Temporal integrates well with leading AI frameworks and libraries.

As a Staff Software Engineer, you will:

• Work as a Software Engineer.
• Design and implement Temporal AI SDK features supporting a broad variety of frameworks and libraries.
• Develop a deep understanding of AI application development techniques, including emerging approaches and architectures.
• Work with multiple programming languages, primarily Python and TypeScript.
• Make extensive use of AI coding tools, especially to ensure quality across a large number of integrations.
• Take end-to-end ownership of new features, working with other teams to deliver exceptional reliability and a great developer experience.
• Serve as a domain expert on AI design patterns, collaborating with field staff to provide best-practices and canonical examples.
• Work directly with our developer community to debug issues that need expert attention, and get feedback on Temporal SDK features and APIs.
• Write public technical documentation describing Temporal concepts and APIs.
• Go the extra mile to support a customer in need, on the rare occasion that AI SDK engineering expertise is needed.
• Travel to meet your coworkers for a week once or twice a year.
• Attend the occasional developer conference to talk about how great Temporal is (optional).

You won't:

• Work as a Data Scientist, Data Analyst, Devops SWE, or SRE.
• Work in an office (unless you want to, but you'd be by yourself). Temporal is a fully-remote company.
• Commit code that's poorly-tested or works 'most of the time'. Temporal aspires to be 'Reliable as Gravity', and we expect our code to be the same.
• Work behind closed doors. The SDKs are open source,that means PRs and comments are open to the public, too.
• Sit in meetings all day. We mostly communicate in writing, and use meetings mainly for status updates and thorny issues that need input from the whole group.
• Wake up to pager alerts. We're extremely active in supporting our customers and the community, but we don't do 24/7 on-call.

You'll bring:

• Experience and passion for harnessing generative AI, particularly for agents and coding.
• A deep understanding of how to use AI to increase quality, not only to increase quantity.
• A sense of taste in code and software development practice. Your approach should be opinionated and thoughtful, but not dogmatic.
• A track record of open source software contributions, including contributions to 3rd party libraries.
• Fluency in multiple programming languages, and an affinity for learning new ones.
• Deep experience with concurrent programming,you should know how to use mutexes, atomics, and other concurrency primitives safely.
• Experience designing APIs and writing documentation for publicly-available libraries or modules.
• Strong technical communication skills,written and verbal,in English.
• BS or MS in Computer Science (or a closely-related degree), or equivalent work experience writing production-grade software.

Nice to have:

• Familiarity with Temporal's programming model (e.g. you've written an app on Temporal).
• Expedite building agents or other AI applications
• Background in machine learning, model training, data science, or machine learning systems.
• Experience contributing to the architecture and design of large-scale distributed systems.
• Graduate degree in Computer Science.

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Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge. You will take state-of-the-art models developed internally and from the community, use them in production to solve problems for our customers and taskers.

Key responsibilities include:

• Improving and maintaining production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics
• Collaborating with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines
• Working with massive datasets to develop both generic models as well as fine-tune models for specific products
• Building scalable machine learning infrastructure to automate and optimize our ML services
• Serving as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations

Ideal candidates will have extensive experience using computer vision, deep learning, and deep reinforcement learning, or natural language processing in a production environment. Solid background in algorithms, data structures, and object-oriented programming is also required.

Nice to haves include a graduate degree in Computer Science, Machine Learning, or Artificial Intelligence specialization, experience working with cloud platforms, and familiarity with ML evaluation frameworks and agentic model design.

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 comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend.

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This is a unique opportunity to shape how frontier AI models handle dual-use cybersecurity knowledge,balancing the tremendous potential of AI to advance legitimate security research and defensive capabilities while preventing misuse by malicious actors.

In this role, you will lead and grow a team of technical specialists focused on cyber threat modeling and evaluation frameworks. You will serve as the primary domain expert on cyber harms, advising cross-functional teams on threat landscapes and mitigation strategies.

You will collaborate closely with internal and external threat modeling experts to develop training data for safety systems, and with ML engineers to train these systems, optimizing for both robustness against adversarial attacks and low false-positive rates for legitimate security researchers.

You will also analyze safety system performance in traffic, identifying gaps and proposing improvements. You will conduct regular reviews of existing policies and enforcement systems to identify and address gaps and ambiguities related to cybersecurity risks.

You will develop rigorous stress-testing of safeguards against evolving cyber threats and product surfaces. You will partner with Research, Product, Policy, Security Team, and Frontier Red Team to ensure cybersecurity safety is embedded throughout the model development lifecycle.

You will translate cybersecurity domain knowledge into actionable safety requirements and clearly articulated policies. You will contribute to external communications, including model cards, blog posts, and policy documents related to cybersecurity safety.

You will monitor emerging technologies and threat landscapes for their potential to contribute to new risks and mitigation strategies, and strategically address these.

You will mentor and develop team members, fostering a culture of technical excellence and responsible AI development.

To be successful in this role, you will need to have:

• An M.S. or PhD in Computer Science, Cybersecurity, or a related technical field, OR equivalent professional experience in offensive or defensive cybersecurity
• 5+ years of hands-on experience in cybersecurity, with deep expertise in areas such as vulnerability research, exploit development, network security, malware analysis, or penetration testing
• 2+ years of experience managing technical teams or leading complex technical projects with multiple stakeholders
• Experience in scientific computing and data analysis, with proficiency in programming (Python preferred)
• Deep expertise in modern cybersecurity, including both offensive techniques (vulnerability research, exploit development, penetration testing, malware analysis) and defensive measures (detection, monitoring, incident response)
• Demonstrated ability to create threat models and translate technical cyber risks into policy frameworks
• Familiarity with responsible disclosure practices, vulnerability coordination, and cybersecurity frameworks (e.g., MITRE ATT&CK, NIST Cybersecurity Framework, CWE/CVE systems)
• Strong analytical and writing skills, with the ability to navigate ambiguity and explain complex technical concepts to non-technical stakeholders
• Experience developing policies or guidelines at scale, balancing safety concerns with enabling legitimate use cases
• A passion for learning new skills and an ability to rapidly adapt to changing techniques and technologies
• Comfort working in a fast-paced environment where priorities may shift as AI capabilities evolve
• Track record of translating specialized technical knowledge into actionable safety policies or enforcement guidelines

Preferred qualifications include:

• Background in AI/ML systems, particularly experience with large language models
• Experience developing ML-based security systems or adversarial ML research
• Experience working with defense, intelligence, or security organizations (e.g., NSA, CISA, national labs, security contractors)
• Published security research, disclosed vulnerabilities, or participated in bug bounty programs
• Understanding of Trust & Safety operations and content moderation at scale
• Certifications such as OSCP, OSCE, GXPN, or equivalent demonstrating technical depth
• Understanding of dual-use security research concerns and ethical considerations in AI safety

The annual compensation range for this role is $320,000-$405,000 USD.

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Collaborate within the team and with cross-functional partners such as Experience Designers, Product Managers and Engineers to design and deliver high-quality products on iOS. Build efficient and reusable mobile components and implement reliable, performant, and scalable mobile solutions. Contribute to an inclusive and engaging team environment that fosters learning and growth. Identify areas of improvement and drive mobile best practices.

A typical day involves collaborating with other product engineers and partners to develop Host pricing and availability functionality and surface insights / analytics. You will work hands-on to develop solutions to problems that come about when developing at scale. You will contribute to the delivery of significant components and platform requirements in collaboration with engineers and architects. You will work with product and design partners to explore problem spaces and devise solutions to customer problems; recognize technical challenges in the early stages and collaborate closely with the team. You will identify areas of improvement and drive mobile best practices.

Your expertise should include:

• Bachelor's and/or Master's degree, preferably in CS, or equivalent professional experience
• 2 to 4 years' experience developing iOS applications at scale with a high volume of users with an eye for visual details
• Expertise in Swift or Objective-C, UIKit, and SwiftUI, as well as knowledge of UI architecture and UI performance
• Strong product sense and a passion for UI and UX product development and can effectively communicate with non-technical partners
• Demonstrated ability to collaborate with Product Management, Design, Data and other iOS, Android, and Web Engineers in a fast-paced environment
• Passion for continuous learning and innovation in the mobile industry
• Sound engineering and coding skills. Understanding of basic data structures and asynchronous programming. Experience with iOS app performance optimization & metrics
• Experience with leveraging AI tools and platforms is a plus

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our commitment to inclusion and belonging Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay Range $157,000-$180,600 USD

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Requirements:

• 3+ years of experience working as a software engineer
• Experience creating libraries and tools for engineers and operations
• Experience building and designing scalable backend systems
• Experience working with SQL or NoSQL databases
• Familiarity with software engineering development cycles
• Experience working with backend programming languages (Java, Kotlin, Python)
• Ability to hold yourself and the team to high standards
• Strong communication and interpersonal skills
• English proficiency/fluency, both written and speaking

Bonus points:

• Experience collaborating with experts in product, design, and operations
• Familiarity with functional programming languages
• Strong writing skills
• Proactive approach

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Our team is fast-paced and agile, comprising engineers, a product manager, and designer. We work closely together to deliver innovative solutions that meet the needs of our customers.

Responsibilities:

• Design and develop high-quality iOS applications using Swift and Objective-C
• Collaborate with the product manager and designer to define and prioritize features
• Work with the engineering team to ensure seamless integration with other components
• Participate in code reviews and contribute to the improvement of our codebase
• Mentor junior engineers and help them grow in their careers

Requirements:

• 8+ years of professional iOS development experience
• Excellent communication and collaboration skills
• Experience building public or internal mobile APIs/SDKs and working with Swift and Objective-C
• Experience with UIKit, SwiftUI, programmatic Auto Layout, and iOS design patterns (MVVM, reactive programming)
• Experience with Unit/UI/integration/performance testing on iOS (Quick, Nimble, XCTest, XCUITest, etc.)
• Experience with Realm database or similar mobile NoSQL solutions
• End-to-end ownership of mobile applications or SDKs
• Experience with mobile CI/CD pipelines (GitHub Actions)

Preferred Qualifications:

• 1+ years of experience in identity and access management (IAM) domain, particularly with Auth0 Guardian SDK or similar MFA/authentication solutions
• Experience with iOS security best practices, including cryptography (RSA, CommonCrypto), biometric authentication (Face ID/Touch ID), iOS Keychain, Authentication Service framework, and secure data storage
• Experience with reactive programming frameworks (ReactiveSwift, Combine) and migrating legacy architectures to MVVM patterns
• Experience with infrastructure-as-code tools (e.g., Fastlane, Swift Package Manager, Snyk, or Terraform)

If you are a motivated and experienced iOS engineer looking to join a dynamic team, we encourage you to apply.

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As a Senior Forward Deployed Engineer at Intercom, you will be working closely with our R&D team and influencing roadmap decisions while unlocking business impact for our customers. You will play a pivotal role in revolutionizing how our most strategic customers scale customer support.

Responsibilities:

• Drive the adoption of Fin by helping prospects unlock the power of Intercom's AI capabilities to automate and scale their support operations.

• Embed deeply with strategic customers to understand their business challenges and technical requirements in detail. Provide them with insight to achieve outstanding results with Fin.

• Work hands-on with customers' technical teams as a technical expert and trusted advisor, coding side-by-side to drive projects to completion.

• Collaborate closely with Sales, Success, and Product teams to ensure seamless customer experiences, project success and actionable product feedback.

• Contribute to and evolve the Forward Deployed Engineering function. Codify best practices and share insights gained from customer engagements to help us scale and grow.

Requirements:

• Ideally, you've built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you've created. Bonus points if you're a former founder or early engineer at a startup.

• You are interested in AI/ML. You're good at quickly building a good understanding of novel problems, capabilities, architectures and understanding trade-offs and limitations

• Strong cross-functional collaboration. Ability to understand and navigate organizational boundaries and bring people together to achieve the best outcome for our customers and Intercom.

• Deep knowledge of a high-level programming language (for example, JavaScript, Python, Ruby, etc.) but it doesn't need to be a language that we use here. Great people are effective and learn what we use quickly (or introduce us to better ways of working)

• Able to prototype and ship software fast, while maintaining a high bar on quality and the focus on business goals and outcomes.

• Proficient using and writing REST APIs to integrate systems effectively.

• Strong communicator. Can easily talk to engineers and non-technical audiences about the same topics at different altitudes, and different levels of detail.

• Willing to travel and work on-site with customers to build strong relationships and deeply understand their needs.

Benefits:

• 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.

Policies:

• Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

• We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

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At Intercom, you will be a product engineer - someone who solves real customer problems through a smart and efficient application of your technical knowledge and your tools. You’ll be part of one of our multidisciplinary product teams, where you will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts.

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.

Responsibilities:

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.

Requirements:

• 5+ years of industry experience in a software engineering role, preferably building a SaaS product. You can demonstrate significant impact that your work has had on the product and/or the team.

• Deep knowledge of a high-level programming language (for example, Ruby, Python, Javascript etc.)

• Experience collaborating directly with product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Intercom are pragmatists who work closely with others on cross-disciplinary teams

• Experience with Distributed systems

Benefits:

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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Key responsibilities include:

• Drive strategy that fields safe and secure performant agents on embedded warfighting compute.
• Manage a cohort of cleared machine learning engineers, researchers, and product managers.
• Provide deep technical leadership to team on design, development, and deployment of advanced AI solutions.
• Leverage and shape the world's largest defense robotics data set to develop cutting-edge AI capabilities.
• Coordinate with internal testing and evaluation team(s) to design specialized evaluation benchmarks for defense use-cases.
• Partner with US-based Frontier AI Labs to revolutionize the employment of autonomy in embedded hardware.

Required qualifications include:

• Management experience leading and growing AI/ML teams.
• Experience deploying AI-technologies into classified environments (e.g., disconnected, air-gapped, etc.).
• Expertise in deep learning techniques and the latest generative AI technologies (Agents, Vision-Language Action models, etc.).
• Strong programming skills.
• Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance.

Preferred qualifications include:

• Experience with edge-deployed ML systems.
• Prior work in Defense Tech and/or Start Ups.
• Active U.S. Top Secret SCI security clearance.

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Responsibilities:

• Lead and mentor a team of Facilities Operations Technicians, fostering a culture of excellence, collaboration, and continuous improvement.
• Oversee maintenance, monitoring, and troubleshooting of data center infrastructure, including HVAC, power distribution, and backup systems.
• Develop, implement, and optimize preventive maintenance schedules, equipment calibration, and system performance monitoring.
• Create and enforce standard operating procedures (SOPs) to ensure operational consistency and efficiency.
• Ensure compliance with safety regulations and industry standards.
• Collaborate with engineering and procurement teams to streamline equipment intake, installation, and maintenance processes.
• Utilize internal applications for inventory and asset management, ensuring accurate tracking and reporting.
• Manage critical equipment maintenance and repairs, ensuring timely resolution and detailed documentation.
• Partner with cross-functional teams to support seamless data center operations.
• Lead initiatives to enhance operational efficiency and minimize downtime.
• Provide on-call support and respond promptly to critical facilities incidents.

Basic Qualifications:

• Bachelor’s degree in Mechanical, Electrical, or a related engineering field (relevant experience may substitute for degree).
• 8+ years of experience managing critical facilities systems, including power, cooling, and environmental controls.
• In-depth knowledge of electrical, mechanical, and HVAC systems in data centers.
• 8+ years of experience troubleshooting and maintaining critical facilities infrastructure.
• Proficiency with building management systems (BMS) and environmental monitoring tools.
• 5+ years of experience in inventory management, including ordering, receiving, and maintaining facilities equipment.
• Proven leadership experience in critical facilities or technical operations environments.
• Demonstrated ability to lead facilities infrastructure projects.
• Proficiency with hand tools and power tools.
• Strong prioritization and time management skills.
• Ability to thrive in a fast-paced environment while maintaining attention to detail.
• Must pass pre-employment and annual post-employment background checks.
• Physical Requirements:
• Ability to lift up to 35 lbs. unassisted.
• Comfortable working at heights up to 50 feet with appropriate safety gear.
• Ability to work in environments with exposure to noise.
• Physical dexterity to perform job functions in confined spaces.
• Availability to work evenings and weekends based on site operational needs; flexibility is required.
• Valid driver’s license.

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In this role, you will push the boundaries of container orchestration far beyond existing systems like Kubernetes, manage exascale compute resources, optimize for high-performance training runs and production serving, and collaborate closely with research and systems teams to deliver reliable, ultra-scalable infrastructure that enables xAI's next-generation models and applications.

Responsibilities include building and managing massive-scale clusters, designing, developing, and extending an in-house container orchestration platform, collaborating with research teams to architect and optimize compute clusters, profiling, debugging, and resolving complex system-level performance bottlenecks, and owning end-to-end infrastructure initiatives.

To succeed in this role, you will need deep expertise in virtualization technologies and advanced containerization/sandboxing, strong proficiency in systems programming languages such as C/C++ and Rust, and proven track record profiling, debugging, and optimizing complex system-level performance issues.

Preferred skills and experience include experience in Linux kernel development, hypervisor extensions, or low-level system programming for compute-intensive workloads, operating or designing large-scale AI training/inference clusters, and familiarity with performance tools, tracing, and debugging in production distributed environments.

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Responsibilities:

• Inspire, lead, and grow a team of data scientists to achieve our longer-term vision
• Drive data science projects end-to-end in partnership with Product, Engineering, and other partners to inform product strategy and investment decisions
• Analyze large datasets to identify trends, patterns, and insights that can help understand marketplace dynamics and help cross-functional teams (e.g., product, engineering, marketing) to define and execute data-driven optimization strategies
• Actively influence the design of the strategy and shaping of the roadmap. Generate and use team insights to set and prioritise longer-term goals
• Create and implement A/B testing, experimentation, and other cutting-edge statistical/mathematical frameworks to analyse Ads (marketplace) performance
• Continually develop & execute on a Data Science roadmap and vision for your team
• Stay abreast of industry best practices and emerging technologies in the field of advertising and data science
• Foster a culture of innovation, collaboration, and technical excellence
• Be an integral part of the Data Science Org, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts

Required Qualifications:

• PhD or Master's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields
• 4+ years of management experience. Experience managing managers is a bonus
• Strong skills in programming (Python or R) and SQL
• Experience in leveraging AI-assisted development tools (e.g., Cursor, Claude, or similar LLMs) to improve personal and team productivity, code quality, and technical problem-solving
• Deep understanding of Ads Marketplace
• Extensive experience of online experimentation and causal inference
• Ability to communicate & discuss low-level technical topics as well as high-level strategies
• Comfortable in innovative and fast-paced environments, and an innate ability to bias toward action
• Results-oriented with a strong customer and business focus
• Track-record driving product roadmap and execution with strong cross-org collaborations
• Ability to provide structure and tackle ambiguous and undefined problems

Benefits:

• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Comprehensive Medical Benefits & Health Care Spending Account
• Registered Retirement Savings Plan with matching contributions
• Income Replacement Programs
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

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Our engineering culture values collaboration and building great teams. You will work closely with developers, game studios, and other partners to find opportunities and address challenges towards providing a more rich experience for players while gaming and engaging with online communities.

Key Responsibilities:

• Design, build, and maintain features that help users connect and make friends through gaming on our platform, across desktop and mobile.
• Engage with developers, game studios, and other partners to find opportunities and address challenges towards providing a more rich experience for players while gaming and engaging with online communities.
• Collaborate with Engineers, Designers, Product Owners, and Data Scientists to build engaging, fun, and trusted experiences, while experimenting and iterating on ideas that enhance user interactions.
• Partner with our Content, Marketing, and ML teams to improve ranking and discovery systems, enabling users to find meaningful connections and relevant content.
• Build innovative features that help users discover new friendships and deepen existing ones, creating a trusted and welcoming environment.

Requirements:

• 8+ years of experience as a software engineer.
• Experience with React/TS, Python, or other modern programming languages.
• A track-record of shipping incremental and delightful features that improve the overall user experience.
• Comfortable switching between different technical stacks and learning new ones.
• Enjoy collaborating with product, design, and other stakeholders.
• Take a holistic approach to problem-solving.
• Experience leading projects, gathering requirements, supporting partners, and mentoring others.
• A Discord user who wants to make the product better!

Bonus Points:

• Experience working on a mobile native stack (iOS/Obj-C/Swift), Android (Java, Kotlin)
• Experience integrating or deploying on Steam (or similar platforms)
• Experience using Epic Games Online Services, Steamworks API, Playfab

US base salary range for this full-time position is $248,000 to $279,000 + equity + benefits.

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Your expertise in low-level system programming, kernel optimization, and virtualization technologies will be crucial in ensuring Anthropic can scale our compute infrastructure efficiently and reliably for training and serving frontier AI models.

Responsibilities:

Optimize our virtualization stack, improving performance, reliability, and efficiency of our VM environments

Design and implement kernel modules, drivers, and system-level components to enhance our compute infrastructure

Investigate and resolve performance bottlenecks in virtualized environments

Collaborate with cloud engineering teams to optimize interactions between our workloads and underlying hardware

Develop tooling for monitoring and improving virtualization performance

Work with our ML engineers to understand their computational needs and optimize our systems accordingly

Contribute to the design and implementation of our next-generation compute infrastructure

Share knowledge with team members on low-level systems programming and Linux kernel internals

Partner with cloud providers to influence hardware and platform features for AI workloads

You may be a good fit if you:

Have experience with Linux kernel development, system programming, or related low-level software engineering

Understand virtualization technologies (KVM, Xen, QEMU, etc.) and their performance characteristics

Have experience optimizing system performance for compute-intensive workloads

Are familiar with modern CPU architectures and memory systems

Have strong C/C++ programming skills and ideally experience with systems languages like Rust

Understand Linux resource management, scheduling, and memory management

Have experience profiling and debugging system-level performance issues

Are comfortable diving into unfamiliar codebases and technical domains

Are results-oriented, with a bias towards practical solutions and measurable impact

Care about the societal impacts of AI and are passionate about building safe, reliable systems

Strong candidates may also have experience with:

GPU virtualization and acceleration technologies

Cloud infrastructure at scale (AWS, GCP)

Container technologies and their underlying implementation (Docker, containerd, runc, OCI)

eBPF programming and kernel tracing tools

OS-level security hardening and isolation techniques

Developing custom scheduling algorithms for specialized workloads

Performance optimization for ML/AI specific workloads

Network stack optimization and high-performance networking

Experience with TPUs, custom ASICs, or other ML accelerators

Representative projects:

Optimizing kernel parameters and VM configurations to reduce inference latency for large language models

Implementing custom memory management schemes for large-scale distributed training

Developing specialized I/O schedulers to prioritize ML workloads

Creating lightweight virtualization solutions tailored for AI inference

Building monitoring and instrumentation tools to identify system-level bottlenecks

Enhancing communication between VMs for distributed training workloads

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We're looking for a talented Software Engineer to join our internship program. As a member of our team, you'll have the opportunity to build solutions that drive direct business impact and shape our long-term technical vision with a high-quality bar.

Responsibilities:

• Build products, services, and infrastructure that scale with speed and intention
• Work in partnership with your mentor and team to deliver high-quality solutions
• Learn and push the frontier of providing the best financial software experience to help companies grow

Requirements:

• Graduating from a BA/BS program in 2026
• Computer Science or Computer Engineering or Software Engineering degree
• Availability to participate in the program from April to December 2026
• Strong knowledge of CS fundamentals
• Strong communication, interpersonal skills, and eagerness to learn from others
• Experience working with backend programming languages (i.e. Java, Kotlin, Python)
• Experience working with SQL or NoSQL databases

Bonus points:

• Experience collaborating with experts in product, design, and operations
• Familiarity with functional programming languages
• Strong writing skills
• Proactive approach
• Experience with corporate financial systems or concepts
• Experience with cloud computing systems & services

Where you'll work:

This role will be remote.

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As a Senior Full-Stack Software Engineer on our Task Workflows Platform team, you will build and scale the foundational infrastructure that powers core experiences across Brex. You will work across our extensive suite of platforms - including our multi-channel notifications engine, collaborative commenting system, and dynamic workflow rule builder.

Responsibilities

• Work with engineers across the company to build new features and products end-to-end
• Own problems end-to-end, thinking through everything from user experience, data models, scalability, operability and ongoing metrics
• Provide technical leadership to team by driving roadmap direction, architectural design and mentorship
• Work side-by-side with user-facing teams (Sales, Support) to best understand the needs of our customers
• Tune and polish features to a high degree of excellence
• Identify and implement reliability and performance improvements
• Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter

Requirements

• 7+ years of professional experience designing, developing, and deploying full-stack products
• Strong proficiency in backend programming languages (Java, Kotlin, Python)
• Experience architecting, building, and maintaining scalable, high-availability distributed systems
• Experience designing and optimizing SQL and/or NoSQL databases, including data modeling, query performance tuning, and schema design
• Experience building and maintaining RESTful APIs and/or GraphQL services
• Experience with modern frontend technologies and tools like ES6+, React, TypeScript, and Webpack

Bonus points

• Experience collaborating with cross-functional stakeholders and specialists in product, design, and operations
• Experience driving initiatives at a broader level across an organization or company
• Experience running in-product experiments, A/B testing
• Experience and interest in leveraging AI developer tools

Compensation

The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors, including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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Location: Dublin, Ireland

Job Description:

As a Principal Engineer at Intercom, you will have the opportunity to lead the definition and execution of key strategic initiatives. You will work autonomously and be accountable for strategic execution in part of the engineering organization. You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Group Engineering Managers on technical strategy and leadership.

As an experienced engineer, you will have a mastery of domain knowledge and work as a leader within the R&D org to drive key strategic projects. You will provide assessments of project progress, risks, and challenges to engineering leadership to help guide resource allocation and prioritization. You will contribute to our technical architecture as we grow, scaling to service requests from all our customers' customers. You will care about agility as much as you care for scalability and availability, with continuous deployment keeping us focused on incremental releases.

You will contribute to all phases of software development, including ideation, prototyping, design, and implementation. This role has a mix of both hands-on development as well as lead/architecture work. You will build using the best tools in the industry, investing heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems.

You will play an active role in hiring, mentoring, and career development of other engineers. You will raise the bar for technical standards, performance, reliability, and operational excellence.

What skills do I need?

You will ideally have built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you've created. You will have significant, demonstrated impact that your work has had on the product and/or the teams. You will have deep knowledge of a high-level programming language, such as Ruby, Python, or Perl, and experience with distributed systems. You will have 2+ years of experience as the primary technical leader for a team.

Benefits

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're happy to get you whatever equipment helps you get your job done

Policies

Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

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In this role, you'll build the foundational systems that power our execution and infrastructure layers, including Zero.

This is a low-level, performance-critical role focused on runtime architecture, concurrency, and scalable execution.

You will make architectural decisions that directly impact how our systems execute, scale, and remain stable under load.

Responsibilities:

• Architect high-performance systems and leverage AI to implement them in Rust.

• Build and optimise core runtime, networking, or state management components.

• Profile and improve performance both at low-level (CPU, memory) and cluster-scale (network, scheduling).

• Debug race conditions, deadlocks, and production performance issues.

• Contribute to architectural decisions around scheduling, synchronisation, and system scalability.

• Own systems end-to-end from design through production.

About You:

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.

• 2+ years of experience building systems-level or performance-critical software.

• Strong proficiency in systems programming and leveraging AI to build software.

• Deep understanding of concurrency, CPU architecture, cache hierarchy, and operating systems.

• Experience designing or contributing to low-level storage, compute, or network infrastructure.

• Strong intuition for striking a pragmatic balance between complexity for performance and simplicity for robustness.

• Experience using low-level profiling and debugging tools in production environments.

• Interest in working on distributed and execution-layer systems.

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Key Responsibilities:

• Drive end-to-end energy storage system (ESS) development on extremely accelerated timelines
• Collaborate with program teams to define actionable ESS requirements from user story/CONOPs
• Execute and/or deliver the following ESS development artifacts/steps:
• ESS requirements, battery cell selection and validation
• Familiarity with ESS architecture and design concepts
• Battery management system (BMS) requirements, BMS HW and FW/SW design, BMS SW feature plan/roadmap, BMS validation plan at bench and HIL level
• Cell, module, and pack level validation plan. Support bring-up, test, debug, and vehicle integration
• Ramp plan from development units to production
• Sustain fielded ESSs with root cause analysis and data processing, drive countermeasures/design updates as needed

Requirements:

• Bachelor’s Degree in Electrical Engineering, Mechanical Engineering or fundamental Physical Sciences with applied application focus on energy storage technologies, with 5+ years of experience designing, testing, and troubleshooting energy storage systems.
• Competence with battery test equipment such as cell and pack cyclers, thermal chambers, battery health testers (EIS, ACIR, hi-pot, megger, etc)
• One of the following: 1) Experience BMS programming cell modeling tools 2) Electrical circuit design/integrations experience.
• Familiarity with common electrochemical energy storage materials, technologies and boundaries of operation
• Knowledge of modern battery management system capabilities and requirements in HW and SW/FW
• Experience in battery characterization methods: mission profile validation, equivalent-circuit model characterization, cycle/calendar life assessment, safety features, etc.
• Understanding of UN38.3, NAVSEA S9310 and/or equivalent (UL, IEC) battery safety standards
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities

Preferred Qualifications:

• Graduate Degree in Electrical Engineering, Mechanical Engineering or fundamental Physical Sciences with a focus on energy storage technologies
• Understanding and familiarity with MIL-STD-882, MIL-STD-810, MIL-STD-704, MIL-STD-461, MIL-STD-464
• Demonstrated experience in delivering robust, high-performance, energy storage systems with substantial technical ownership/contributions
• Demonstrated experience in battery testing, modeling, controls, and BMS integration/operation

Salary Range: $132,000 - $213,000 USD

Benefits:

• Comprehensive medical, dental, and vision plans at little to no cost to you
• Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs.
• Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting.
• Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available.
• Professional Development: Annual reimbursement for professional development
• Commuter Benefits: Company-funded commuter benefits based on your region.
• Relocation Assistance: Available depending on role eligibility.
• Retirement Savings Plan: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options.

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

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

Responsibilities:

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

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

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

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

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

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

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

You may be a good fit if you

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

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

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

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

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

• Enjoy pair programming (we love to pair!)

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

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

Strong candidates may also have experience with

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

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

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

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

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

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

Representative projects

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

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

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

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

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

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You will define and execute the technical strategy for infrastructure reliability and scalability, build and maintain the automation, observability, and control planes that keep multi-datacenter, hybrid cloud/on-prem environments healthy, lead incident response, deep-dive root cause analysis, and post-mortems that drive real fixes, identify, instrument, and eliminate systemic failure patterns, design and implement high-leverage systems software in Python and Rust, and push the state of the art in large-scale GPU cluster operations and AI workload reliability.

To succeed in this role, you will need 5+ years shipping production software and/or operating distributed infrastructure at scale, expert-level knowledge of Linux systems, TCP/IP networking, and systems programming, strong coding skills with proven production experience in Rust (strongly preferred) and at least one of Python, Go, or C++, deep experience with large-scale distributed systems in on-prem and cloud environments, hands-on expertise with container orchestration, container runtimes, and infrastructure-as-code, intimate understanding of common failure modes in distributed systems and how to mitigate them, and a track record of participating in (or building) effective on-call rotations in high-stakes environments.

In addition to a competitive base salary, you will receive equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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You'll be instrumental in shaping architectures optimized for resource-constrained environments, ensuring seamless communication and compute across our distributed network. You will be responsible for building the team's culture, driving execution, and ensuring software quality and mission success.

A Note on This Role: This is an Engineering Manager role focused on both technical (opinionated about architecture, reliability, performance and quality, especially for low-level systems programming and distributed edge deployments) and non-technical (people, process, and project leadership).

Responsibilities

• Lead & Mentor: Manage and grow a team of 10–15 engineers, fostering a high-performance, high-integrity culture focused on mission-critical delivery and rapid iteration.
• Strategic Partnership: Collaborate closely with product, mission systems, and technical leadership to define team objectives, prioritize work streams, and align with broader Connected Warfare initiatives.
• Drive Execution: Ensure the timely and reliable delivery of complex software projects by removing impediments, providing the necessary resources, and promoting agile methodologies.
• Stakeholder Liaison: Serve as the primary conduit between your team and senior leadership, communicating status updates, managing expectations, and advocating for your team’s needs.
• Technical Ownership: Supervise and monitor architecture, design, and implementation of features for high-performance, low-latency edge applications, ensuring they meet stringent quality standards and customer requirements.
• Drive technical excellence in areas like memory safety (Rust), concurrency, inter-process communication, and hardware-software interface design. Assist engineers in solving complex reliability, performance, and operational issues inherent in distributed, real-time systems.
• Quality & Process Ownership: Champion best practices in software design, code reviews, testing for embedded deployments, and CI/CD processes to ensure robust, scalable, and maintainable systems that are mission-ready.
• Cross-Functional Collaboration: Work closely with technical peers and other teams to support system integration, resolve technical challenges, and continuously improve operational workflows.
• People Development: Invest in the professional growth of your team through coaching, feedback, and structured career development plans. Cultivate a “whatever it takes” mindset and promote extreme ownership.
• Operational Insight: Occasionally travel (up to 10% of the time) to work alongside teammates and observe systems in real-world operational settings, ensuring that software solutions address actual field challenges.

Requirements

• 3+ years of experience as a software engineering manager, with a proven record of building and leading high-performing teams.
• 8+ years of hands-on software development experience, demonstrating a strong technical foundation in building resilient, high-performance software for distributed edge systems, networked applications, and Embedded Linux environments.
• Demonstrated expertise in C++ or Rust (or both), with a deep understanding of systems programming principles, memory management, concurrency, and performance optimization for resource-constrained environments.
• Successful track record of delivering complex software projects under tight deadlines while managing stakeholder relationships in a matrixed organization.
• Excellent communication and leadership skills, with the ability to inspire and develop talented engineers.
• Expertise in agile development methodologies and process improvement.
• Must be eligible to obtain and maintain an active U.S. Top Secret security clearance.

Preferences

• Experience managing teams in mission-critical domains such as command and control, robotics, or defense applications.
• Familiarity with modern DevOps and CI/CD practices tailored for embedded and distributed deployments.
• Background in developing software for distributed systems, connected ecosystems and hardware integrations.
• Direct experience in IoT device management, telemetry, and secure over-the-air (OTA) update mechanisms is highly valued.
• Experience working within or closely with multi-domain operation teams.
• A deep understanding of networking, security, and system integration challenges in high-stakes environments.
• Familiarity with low-level hardware interactions, device drivers, or firmware development is a strong plus.

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Key responsibilities include:

• Managing the end-to-end delivery of analytics projects, from scoping and planning to execution and delivery
• Translating ambiguous business questions into tractable data analysis projects
• Interpreting and investigating data and statistical questions that arise through the delivery of client work
• Collaborating with cross-functional teams, including Data Science, Engineering, and Product Management, to ensure alignment on project goals and deliverables
• Serving as the primary point of contact for clients, addressing any concerns or issues that may arise during the project lifecycle
• Monitoring project progress and performance, proactively identifying risks and implementing mitigation strategies as needed

To be successful in this role, you will need to have a strong background in analytics and project management, with experience leading cross-functional teams and managing client relationships. You will also need to have excellent communication and presentation skills, with the ability to convey complex analytical concepts to non-technical audiences.

In addition to your technical skills and experience, you will need to be able to integrate AI into your daily work, from summarizing documents to automating workflows and uncovering insights. This is a pivotal moment in time, where being first to market with AI transforms industries and sets the bar.

If you are a motivated and experienced professional looking to join a dynamic team and contribute to the development of cutting-edge analytics solutions, please apply today!

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Our AI models learn to generate therapeutic molecules with improved properties by training on natural and experimentally-derived data. Acquiring data relevant to function at scale is a critical step in maximizing the performance of our models. We think broadly about the type and scale of data necessary to improve our models, then identify or invent the methods needed to acquire that data.

You will be responsible for the development and deployment of novel high-throughput assays to measure various properties of large sequence libraries. You will use a data-driven approach to optimize assays and apply chemical and biological insights to maximize the utility of information collected. You will apply this data to efficiently improve design of therapeutic molecules in close collaboration with biologists, ML and data engineers, and translational experts.

Responsibilities

• Embody our vision of an interdisciplinary environment and embrace learning about areas outside of your traditional area of expertise

• Collaborate with team members from diverse backgrounds to create experiments that creatively leverage biology and computation

• Develop and execute pooled assays to measure sequence-to-function in vitro, in cells, and in vivo

• Generate, analyze, and communicate data that maximally impacts AI-based molecular design

Qualifications

• PhD and 4+ years of post-PhD experience (e.g., startup, industry, or research)

• Problem-solver who combines deep knowledge of experimental methods with quantitative intuition to generate biological data at and beyond the state-of-the-art

• Solid foundation in theory and techniques of molecular and cellular biology

• History of building highly multiplexed assays to generate rich datasets from mammalian cells, such as large functional screens or single-cell 'omics

• Scientific programming (preferably in Python), including analysis and visualization of complex data

• Availability to work with team members across US and Europe, with meetings starting at 8am PT

• Readiness to travel several times a year for company retreats and business events

• We value in-person collaboration and expect candidates to work at our lab location

Preferred skills

• Experience with mammalian synthetic biology, particularly for cell therapy applications

• Knowledge of RNA biology, biochemistry, and biologics drug development

• Strong understanding of next-generation sequencing platforms (Illumina, Oxford Nanopore, Pac Bio), including library preparation and data analysis

• Experience generating and analyzing large 'omics datasets, via sequencing and/or mass spectrometry

Compensation

$135K – $240K + Bonus + Equity

What we offer

• A competitive compensation package

• 30 days paid vacation per year

• Comprehensive health insurance for US based Beginners

• 401K with company match for US based Beginners and Direktversicherung for German Beginners

• Quarterly company-wide retreats

• Monthly wellness benefit

• Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland

• Learning & Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning & Development platform EdX and Hone

• A buddy to help you get settled

*Varies by country and does not apply to internships

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We're looking for someone with 5-8 years of applied ML experience, previous background in a senior/staff role, and significant demonstrated impact that their work has had on the product and/or the teams. You should have strong programming skills, experience as the primary technical leader for a team, and strong communication skills, both within engineering teams and across disciplines.

As a bonus, we're looking for someone with a track record of shipping ML products, PhD or other experience in a research environment, deep experience in an applicable ML area, and strong stats or math background.

We offer competitive salary and equity in a fast-growing start-up, regular compensation reviews, pension scheme, life assurance, comprehensive health and dental insurance, flexible paid time off policy, paid maternity leave, and relocation support for those moving to our offices.

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In collaboration with the Sales, Product, Research, and Engineering teams, you’ll help national security partners develop strategies and implementation plans to integrate leading-edge AI systems into their mission. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You also will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.

Key responsibilities include:

• Acting as a primary technical advisor for senior government leaders and prospective National Security customers evaluating Claude.
• Partnering closely with the policy team and sales account executives to understand customer requirements.
• Driving technical decision making by partnering on optimal setup, architecture, and integration of Claude into the customer's existing infrastructure.
• Traveling to customer sites for senior leader meetings, AI implementation, technical enablement, and building relationships.

To be successful in this role, you will need to have:

• Active TS/SCI security clearance.
• 2+ years of experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Platform Engineer within the National Security space.
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders.
• Strong technical aptitude to partner with engineers and proficiency in at least one programming language (Python preferred).
• Understanding of and experience with LLM fundamentals.
• Ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand.

The annual compensation range for this role is $270,000-$345,000 USD.

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The Test and Evaluation team at Anduril works across the entire spectrum of products and business lines, as well as all flight operations and test range management. Our team conducts full system level development testing, new production acceptance testing, sub-component qualification testing and much more. In short, if it involves test, we support it.

If you are interested in working in an extremely innovative and fast-paced environment, where your work directly makes an impact and difference in the products that are fielded, this is a fantastic opportunity.

Responsibilities

• Plan and execute system level T&E of hardware and software with emphasis placed on resource planning, conducting ground and flight test, initial issue investigation, and process improvement/development.

• Act as lead or supporting test engineer for missile or weapon systems to include development, certification and integration test of subsystems to the AUR configuration.

• Collect test data and perform initial data analysis for the system under test.

• Work closely with program management and other engineering departments to develop requirements, and discuss test results to include collected data and observations.

• Assist in the creation of developmental test plans, test cards, technical updates and test reports.

• Conduct ground and flight testing at private and government-owned test ranges.

• Work in a safe manner in accordance with established operating procedures and standard practices.

Requirements

• A bachelor's degree in engineering or a related technical discipline from an accredited institution. May substitute equivalent engineering experience in lieu of education.

• 5+ years of experience as test conductor/director for developmental aircraft, weapons, or missile systems.

• Must have a good understanding of engineering concepts, principles, codes, and theory; experience demonstrating a broad application of those concepts; and expanding knowledge of principles, concepts, theory, and practices in related technical specialties.

• Test engineering experience working with developmental weapon or missile systems on manned and/or unmanned aircraft to include requirements development, planning, execution, and reporting.

• Previous experience with and/or current working knowledge of MIL-STD-8591, MIL-STD-2088, MIL-STD-1553, MIL-STD-1760, AS8775, AS5653, etc.

• Experience integrating and conducting test with suspension, arming, and release equipment.

• Previous expertise and working knowledge of the National Airspace System and UAS operating rules and regulations thereof.

• Must possess the ability to understand new concepts quickly; apply them accurately; organize, schedule, and coordinate work phases; and, determine the appropriate approach at the task level or, with assistance, at the project level to provide solutions to a range of complex problems.

• Strong computer and documentation experience.

• Must have strong communication (written and verbal) and interpersonal skills.

• Ability to work independently and as part of a team; able to perform complex tasks in one or more engineering areas.

• Able to work extended hours as required.

• Ability to travel as required for test planning and execution.

• Bias for action – if you see a problem, you want to solve and fix it.

• Ability to obtain and maintain a U.S. Top Secret-Level security clearance.

Preferred Requirements

• Experience working with the Department of Defense (DoD).

• Prior experience with software code/script building using programming languages such as Go, Java, C++, Python, JavaScript, etc.

• Prior experience with Linux based systems and command line.

• Working Knowledge with COTs Small UAS autopilot and mission planning software.

• Experience working with manned aircraft personnel and familiar with aviation terminology.

• Experience with weapon or tactical datalinks.

• Experience with multiple different propulsion systems to include air and non-air breathing.

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This role is perfect for an engineer who enjoys working close to the metal and across the research boundary. You'll collaborate with researchers and systems architects to bridge algorithmic design with hardware efficiency. You'll prototype new kernel implementations, profile performance across hardware generations, and help define the numerical and parallelism strategies that determine how we scale next-generation AI systems.

Responsibilities

• Design and implement custom ML kernels (e.g., CUDA, CuTe, Triton) for core LLM operations such as attention, matrix multiplication, gating, and normalization, optimized for modern GPU and accelerator architectures.
• Design and think through compute primitives to reduce memory bandwidth bottlenecks and improve kernel compute efficiency.
• Collaborate with research teams to align kernel-level optimizations with model architecture and algorithmic goals.
• Develop and maintain a library of reusable kernels and performance benchmarks that serve as the foundation for internal model training.
• Contribute to infrastructure stability and scalability, ensuring reproducibility, consistency across precision formats, and high utilization of compute resources.
• Document and share insights through internal talks, technical papers, or open-source contributions to strengthen the broader ML systems community.

Skills and Qualifications

Minimum qualifications:

• Bachelor’s degree or equivalent experience in computer science, electrical engineering, statistics, machine learning, physics, robotics, or similar.
• Strong engineering skills, ability to contribute performant, maintainable code and debug in complex codebases
• Understanding of deep learning frameworks (e.g., PyTorch, JAX) and their underlying system architectures.
• Thrive in a highly collaborative environment involving many, different cross-functional partners and subject matter experts.
• A bias for action with a mindset to take initiative to work across different stacks and different teams where you spot the opportunity to make sure something ships.
• Proficiency in CUDA, CuTe, Triton, or other GPU programming frameworks.
• Demonstrated ability to analyze, profile, and optimize compute-intensive workloads.

Preferred qualifications:

• Experience training or supporting large-scale language models with tens of billions of parameters or more.
• Track record of improving research productivity through infrastructure design or process improvements.
• Experience developing or tuning kernels for deep learning frameworks such as PyTorch, JAX, or custom accelerators.
• Familiarity with tensor parallelism, pipeline parallelism, or distributed data processing frameworks.
• Experience implementing low-precision formats (FP8, INT8, block floating point) or contributing to related compiler stacks (e.g., XLA, TVM).
• Contributions to open-source GPU, ML systems, or compiler optimization projects.
• Prior research or engineering experience in numerical optimization, communication-efficient training, or scalable AI infrastructure.

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You will work closely with delivery leads, application developers, and other solutions architects, as well as internal and external partners to design, implement, and deliver bleeding edge quantum solutions on state-of-the-art quantum-inspired, quantum annealing, and quantum gate platforms for real-world defense and national security challenges.

The ideal candidate will combine a strong foundation in quantum computing principles with hands-on classical and quantum software development expertise. You will leverage your skills to translate complex problems into (hybrid) quantum algorithms, applications, and services.

This includes developing robust software implementations, and integrate quantum-enhanced solutions into existing and new defense systems.

If you are passionate about applying theoretical quantum concepts to deliver tangible, high-impact results, and thrive in an environment that values innovation, collaboration, and rapid prototyping, we encourage you to apply.

Key Responsibilities: Be a key contributor to the development of next-generation quantum-enhanced Anduril offerings and lead the design, development, and deployment of novel quantum-enhanced applications and services in the defense and national security domain. Develop impactful hybrid quantum algorithms and applications that promise significant decision advantages and focus on practical scalability and real-world applicability. Contribute knowledge of classical and quantum optimization algorithms and tools, evaluating, and communicating their pros and cons, current state-of-the-art, scaling behaviors, trade-offs, and cross-over points. Participate in the full (hybrid) quantum software development lifecycle, from concept and design to testing, deployment, and ongoing maintenance.

Requirements: Bachelor's degree in Computer Science, Quantum Information Science, Physics, Mathematics, or a closely related technical field. 3+ years of hands-on, professional software development experience with C, C++, Python, or another general-purpose compiled programming language. Practical experience in quantum computing, including programming quantum applications, or quantum circuit compilation. Proficiency with one or more leading quantum programming languages, SDKs, or APIs such as Qiskit, CUDA-Q, Q#, Cirq, PennyLane, or similar. Expertise in key mathematical techniques foundational to quantum computing, including linear algebra, matrix decompositions, probability theory, group theory, symmetry, and computational complexity. Proficient with database systems and SQL, with hands-on experience working with relational databases (e.g., PostgreSQL, Oracle, MySQL). Experience with Git version control, build tools, and CI/CD pipelines. Demonstrated understanding and application of software testing principles and practices, including unit testing, integration testing, and end-to-end testing. Strong problem-solving skills, meticulous attention to detail, and the ability to work effectively in a collaborative team environment. Excellent communication and interpersonal skills, with the ability to effectively articulate complex technical concepts to diverse audiences. Eligible to obtain and maintain an active U.S. Top Secret SCI security clearance. Demonstrable hands-on experience using GenAI tools (e.g., OpenAI Codex, Claude Code, Gemini Code Assist, GitHub Copilot, Amazon CodeWhisperer, or similar) for software development, code generation, debugging, and algorithmic exploration.

Preferred Qualifications: Master's or Ph.D. in Quantum Information Science, Physics, Computer Science, or a related quantitative field. Familiarity with leading classical optimization tools and solvers (e.g., CPLEX, Gurobi, OR-Tools) and knowledge of mathematical modeling and classical optimization solution techniques. Experience building and deploying applications to solve complex business or defense problems for customers. Proven record of successful on-time delivery of complex software projects with a high degree of predictability and quality. Experience with deployment of code in distributed environments, cloud application development (e.g., AWS, Azure, GCP), and RESTful API-driven architectures. Experience with high-performance computing (HPC) environments or parallel programming. Familiarity with quantum hardware platforms and their unique characteristics. Prior experience in defense, aerospace, or related industries applying advanced technologies. Willingness to travel up to approximately 10%.

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Your work will touch the full GenAI inference stack , from kernels and runtimes to orchestration and memory management. You will contribute to the design and implementation of the inference engine, and collaborate on model-serving stack optimized for large-scale LLMs inference.

Key responsibilities include:

• Collaborating with researchers to bring new model architectures or features (sparsity, activation compression, mixture-of-experts) into the engine
• Optimizing for latency, throughput, memory efficiency, and hardware utilization across GPUs, and accelerators
• Building and maintaining instrumentation, profiling, and tracing tooling to uncover bottlenecks and guide optimizations
• Developing and enhancing scalable routing, batching, scheduling, memory management, and dynamic loading mechanisms for inference workloads
• Supporting reliability, reproducibility, and fault tolerance in the inference pipelines, including A/B launches, rollback, and model versioning
• Integrating with federated, distributed inference infrastructure – orchestrate across nodes, balance load, handle communication overhead
• Collaborating cross-functionally: with platform engineers, cloud infrastructure, and security/compliance teams
• Documenting and sharing learnings, contributing to internal best practices and open-source efforts when possible

Requirements include:

• BS/MS/PhD in Computer Science, or a related field
• Strong software engineering background (3+ years or equivalent) in performance-critical systems
• Solid understanding of ML inference internals: attention, MLPs, recurrent modules, quantization, sparse operations, etc.
• Hands-on experience with CUDA, GPU programming, and key libraries (cuBLAS, cuDNN, NCCL, etc.)
• Comfortable designing and operating distributed systems, including RPC frameworks, queuing, RPC batching, sharding, memory partitioning
• Demonstrated ability to uncover and solve performance bottlenecks across layers (kernel, memory, networking, scheduler)
• Experience building instrumentation, tracing, and profiling tools for ML models
• Ability to work closely with ML researchers, translate novel model ideas into production systems
• Ownership mindset and eagerness to dive deep into complex system challenges
• Bonus: published research or open-source contributions in ML systems, inference optimization, or model serving

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We're looking for someone who is intensely curious and holds themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Responsibilities:

• Contribute to the architecture of the billing platform to help it scale and support rapid growth in the Dialpad customer base.
• Build reusable, well-defined APIs that are consumed in product code.
• Monitor for performance and accuracy of how we bill our customers.
• Build automated tools to enable our customers and support teams to perform self-service billing operations.
• Collaborate and cooperate with other engineers and product managers in design and code reviews, and translate business requirements into pragmatic technical solutions while discussing and navigating tradeoffs.
• Identify classes of problems across the system and come up with solutions in the form of a long-term engineering roadmap.
• Mentor new hires to help the team grow.

Requirements:

• Inquisitiveness and a background with critical stable systems of scale.
• Experienced with real-time debugging and outages, and have built backend data models that have high performance requirements.
• Bachelor's degree in Computer Science or equivalent practical experience.
• Demonstrated experience with 2+ large production backend systems at scale: designing, building, launching, and maintaining.
• Deep experience with cloud-deployed solutions.
• Strong backend programming experience whether with Python, Java, C#, Node.js, Ruby, etc.
• Experience designing backends based on microservices architecture.

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Your measure of success is the number of workflows you've permanently transformed and the extent to which those in your group start any task with an AI tool.

Responsibilities:

• Identify and document the highest-leverage workflow transformations within your group's day-to-day work by deeply understanding their processes and outputs
• Build custom tools, agents, automations, and skills tailored to each marketer's specific responsibilities
• Coach and partner with each marketer through a progressive journey: from awareness, to first win, to regular AI integration, to full workflow transformation, to self-sufficiency
• Teach marketers to build and iterate on their own tools over time, creating independence
• Recognize patterns across your cohort and systematically scale what works , a tool built for one marketer should become reusable for their peers
• Document every tool, playbook, and transformation pattern you build so the entire FDA team can use each other's work
• Share wins visibly within your cohort and with leadership to build momentum, inspire, and celebrate success
• Track individual and cohort progress rigorously against a defined maturity model, moving every marketer toward self-sustaining, AI-first work
• Prepare marketers for an agentic future , not just prompt writing, but designing, building, and overseeing autonomous, multi-agent workflows

Who you are:

We're looking for people who have already lived the transformation they'll be driving for others. You've used AI to fundamentally change how you work , not as a novelty, but as your default operating mode.

• You are a deep AI practitioner. You build agents, automations, and tools fluently. You don't just know what AI can do in theory , you've built things that changed how real work gets done. You can build in real time alongside the people you support.
• You are an exceptional coach and communicator. You can meet people wherever they are. You create desire for progress, and you adapt your approach to each person.
• You understand marketing work. You either have direct experience in marketing or can quickly learn the workflows, deliverables, tools, and pressures of your assigned group. You know that understanding someone's work is a prerequisite to transforming it.
• You are a pattern recognizer. When you build something that works for one person, you immediately see how it applies to others. You think in systems, not one-off solutions.
• You are high-caliber, persistent, and versatile. Your skills and experience are valuable across the company. You're the kind of person who could succeed in many roles at Stripe.
• You bias toward action and speed. You'd rather show someone a working proof-of-concept on their own deliverable today than present a polished deck about what's theoretically possible next quarter.
• You are comfortable with ambiguity and evolution. This is a new team building a new operating model. The playbook will be rewritten as we learn. You thrive in that environment.

Minimum requirements:

• 5+ years of professional experience in a role requiring analytical thinking, problem-solving, and cross-functional collaboration
• Demonstrated, hands-on experience building AI-powered tools, agents, automations, or workflows that transformed real work processes (not just using AI as a chatbot , building with it)
• Track record of coaching, teaching, or enabling others , formally or informally , with evidence that people you've helped actually changed how they work
• Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences and adapt your style to different learners
• Comfort working across multiple workstreams and relationships simultaneously (you'll be supporting ~20 marketers at varying stages of their AI journey)

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Our manufacturing development team is responsible for rapidly iterating and building cutting-edge defence hardware.

ABOUT THE JOB

The ideal candidate for this role has a track record of taking ownership in solving fabrication challenges. They have creatively devised physical solutions, either personally manufacturing them or overseeing the manufacturing process. If you are someone who thrives in a fast-paced environment, this role is for you.

RESPONSIBILITIES

• Process sheet metal parts utilizing CNC laser cutting, CNC press brake, and various other machine tools

• Perform quality checks on completed products

• Troubleshoot issues with the fabrication equipment

• Maintain fabrication equipment

• Follow OSHA safety guidelines

REQUIRED QUALIFICATIONS

• Sheet metal processing experience with AMADA ENSIS Fiber Laser with 5+ years of experience

• Proficient in operation of AMADA ENSIS Fiber Lasers and supporting equipment

• Proficient in maintenance of AMADA ENSIS Fiber Lasers and supporting equipment

• Proficient in the installation and setup of AMADA ENSIS Fiber Lasers and supporting equipment

• Proficiency in AMADA Fiber Laser cut conditions and settings

• Proficient in G-Code and M-Code relating to AMADA ENSIS Fiber Lasers

• CAD (SolidWorks, NX) experience with expertise in Sheet Metal design

• Reading and interpreting blueprints and drawings

• Proficient in sheet metal properties (Material types and physical properties)

• Sheet metal processing experience with AMADA CNC press brake with 3+ years of experience

• AMADA CNC Press Brake tooling setup

• AMADA CNC Press Brake programming

• AMADA CNC Press Brake Operation

• Metal fabrication in an R&D environment with 5+ years of experience

• Proficient with cam software from SigmaNest and Amada AP100

• Ability to work through R&D tasks with limited oversight (evaluate, design, order materials, execute)

• High level of mechanical aptitude (aerospace/automotive/motorsports background).

• Advanced knowledge of engineering design and manufacturing procedures.

• Ability to multi-task

• U.S. Person status is required as this position needs to access export-controlled data

PREFERRED QUALIFICATIONS

• Basic use of conventional machining equipment (mill/lathe)

• General knowledge and operation of waterjet

• Welding (GMAW/GTAW) of steel, stainless, aluminum, exotic alloys

• CNC machine operating/setup experience

• General knowledge with AC and DC electrical systems

• Understanding of Pem Hardware solutions

SALARY RANGE

US Salary Range $60,000-$80,000 USD

The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package.

BENEFITS

Healthcare Benefits - US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you. - UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents. - IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents.

Additional Benefits - Income Protection: Anduril covers life and disability insurance for all employees. - Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs. - Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting. - Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available. - Professional Development: Annual reimbursement for professional development - Commuter Benefits: Company-funded commuter benefits based on your region. - Relocation Assistance: Available depending on role eligibility.

Retirement Savings Plan - US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options. - UK & IE Roles: Pension plan with employer match. - AUS Roles: Superannuation plan.

PROTECTING YOURSELF FROM RECRUITMENT SCAMS

Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information.

To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind:

• No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates.

• Please always verify communications:

• Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address.

• Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com.

• Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links.

• What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts.

DATA PRIVACY

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You'll need to know accelerator performance well to turn it into tasks and signals models can learn from. Specifically, you will:

• Invent, design and implement RL environments and evaluations.
• Conduct experiments and shape our research roadmap.
• Deliver your work into training runs.
• Collaborate with other researchers, engineers, and performance engineering specialists across and outside Anthropic.

We're looking for someone with expertise in accelerators (CUDA, ROCm, Triton, Pallas), ML framework programming (JAX or PyTorch), and experience with balancing research exploration with engineering implementation.

Strong candidates may also have experience with reinforcement learning, porting ML workloads between different types of accelerators, and familiarity with LLM training methodologies.

The annual compensation range for this role is $350,000-$850,000 USD.

Please note that we're an extremely collaborative group, and we value communication skills. The easiest way to understand our research directions is to read our recent research.

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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Responsibilities:

• Lead and execute complex data science projects that directly advance our drug development portfolio
• Develop and implement sophisticated models for therapeutic hypothesis evaluation, including patient stratification and biomarker identification
• Design and create AI models for modernizing clinical trial evaluations, including surrogate endpoints
• Aid in the development and training of AI agents to automate and optimize biomedical workflows
• Collaborate cross-functionally with clinical, technical, and research teams
• Present complex analytical findings to senior stakeholders, including executive leadership

About You:

• Required Qualifications:

+ PhD in computational sciences or life sciences + 3+ years of post-academic experience in life sciences (biotech, pharma, consulting) + Strong programming skills, particularly in Python + Extensive experience in multi-modal bioinformatics analysis

• Preferred Qualifications:

+ Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases + Strong background in machine learning and deep learning, particularly in biological applications + Experience with large language models (LLM) + Demonstrated ability to collaborate effectively with engineering teams on production systems + Strong communication skills with proven ability to present complex technical findings to senior stakeholders

Total Compensation Range: $170,000 - $215,000

Where We Hire:

Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered.

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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.

Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

We're not looking for people who wait for a polished roadmap; we're looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a 'normalized' problem and the AI-native curiosity to create a solution using the latest tools.

Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up.

If you're the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you'll fit right in.

Note: This role is based in Lisbon.

About the team

The Pre-Sales Solutions Engineering organization is responsible for the technical sale of the Cloudflare solution portfolio, ensuring maximum business value, fit-for-purpose solution design and an adoption roadmap for our customers. As a Solutions Engineer, you are the technical customer advocate within Cloudflare. To aid your customers, you will work closely with every team at Cloudflare, from Sales and Product to Engineering and Customer Success.

Your goal should drive you through the entire organization as you seek out and create solutions for your customer's needs.

Virtual Solution Engineers (VSE) are a specialized part of this team, engaging directly with Small and Medium Business (SMB) customers across the Europe, Middle East and Africa (EMEA) region. They deliver product demonstrations, conduct discovery sessions, build technical alignment, and ensure customers understand how Cloudflare can solve their challenges at scale.

VSEs work primarily through digital channels, collaborating closely with Account Executives (AE) across multiple markets to engage with new prospects and help existing customers move forward in their journey with Cloudflare.

Ultimately, we're committed to accelerating sales cycles and increasing win rates while increasing productivity and efficiency, through standardization and automation.

Who are we looking for?

Our Virtual Solution Engineers come from a wide range of backgrounds. We're serious about building a diverse team. When hiring we look for experience combined with genuine curiosity for our technology and ambition to be as diligent and helpful as possible in supporting our customers and partners to achieve their goals.

The range of products and solutions offered by Cloudflare is broad so that we are able to meet our lofty goal of helping to build a better Internet. A broad knowledge of Internet performance, networking and security technology is required.

The curiosity to maintain and develop new knowledge is essential to keeping up with the high rate of product innovation at Cloudflare.

Ultimately, you are passionate about technology and have the ability to explain complex technical concepts in easy-to-understand terms. You are naturally curious, and an avid builder who is not afraid to be hands on.

Role Responsibilities

Connecting with multiple stakeholders within Cloudflare and utilizing a variety of tools, your role will be to support colleagues, customers and partners throughout the sales process by:

• Performing research and analysis on current and prospective customers' business and product usage;

• Leading technical discovery to understand customer requirements and challenges;

• Building and delivering product demonstrations to prospective customers;

• Owning technical validation activities such as Proof of Concepts, Request for Proposals and Solution Design;

• Translating complex technical capabilities into clear outcome-driven solutions.

• Staying on top of Cloudflare's new products, Internet technologies, and the competitive landscape.

What Makes This Role Exciting

• Regional Impact: You'll work with a diverse range of customers across EMEA, adapting to different markets, industries, and digital maturity levels;

• Breadth of technology: You'll cover Cloudflare's full platform: Application Services, Networking, and Developer Platform;

• Ownership: Build technical confidence throughout the sales cycle;

• Collaboration: You'll work hand-in-hand with teams such as Sales, Solutions Engineering, Marketing, Product, and Customer Success to help new audiences discover Cloudflare and to guide customers through evaluation and adoption;

• Innovation and scale: You'll contribute to campaigns, digital events, and scalable technical content that expand Cloudflare's reach and help more organizations benefit from our platform.

Examples of desirable skills, knowledge, and experience:

• Graduates of technical, computer science, engineering or other relevant degrees;

• 1-5 years of professional experience, ideally in technical presales, solutions engineering, consulting, or related roles;

• Strong knowledge of Internet fundamentals (HTTP/S, DNS, TLS, networking, APIs).

In other words, a solid understanding of 'how the Internet works';

• Programming and application development knowledge. Python, JavaScript, Bash experience is preferred.

• Excellent communication skills and the ability to present complex concepts clearly and confidently in front of an audience.

• Comfortable working across multiple markets and time zones in the EMEA region.

• Fluency (written & spoken) in English AND Arabic

Bonus!

• Previous experience in a customer-facing consultative or support role.

• Understanding of how customers make buying decisions and how to explain Return On Investment.

• Knowledge of security products such as Bot Management and Web Application Firewalls (WAF).

• Exposure to emerging technical landscape trends, e.g. cloud security platforms, SASE and Zero Trust.

• Hands-on knowledge of cloud providers (e.g. AWS, Azure, GCP) and modern app architectures (serverless, containers, microservices).

• Understanding of common application security risks (e.g., CSRF, XSS, SQLi) and mitigation strategies.

• Experience with regulatory or compliance frameworks (SOC-2, PCI DSS, HIPAA, GDPR).

• Track record of building reusable assets; demo environments, reference architectures, or presales tooling.

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government entities.

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In this role, you will be responsible for managing the end-to-end delivery of analytics projects, collaborating with cross-functional teams, and serving as the primary point of contact for clients. You will also be responsible for monitoring project progress and performance, proactively identifying risks and implementing mitigation strategies as needed.

To be successful in this role, you will need to have a strong background in healthcare analytics, excellent project management skills, and the ability to communicate complex analytical concepts to non-technical audiences. You will also need to be proficient in data analysis tools and programming languages such as SQL, Python, or R.

At Komodo Health, we are committed to using AI strategically to solve problems and generate new ideas. We expect every team member to integrate AI into their daily work, from summarizing documents to automating workflows and uncovering insights.

If you are a motivated and experienced professional looking to join a dynamic team, please submit your application.

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You'll collaborate with industry leaders in mechanical, electrical, RF, FPGA, and functional programming software design to deliver the next generation of EW capabilities to our end users. You'll have the opportunity to tap into many decades of collective experience in the NixOS ecosystem and work with top minds in the field.

In addition to your technical expertise, you'll be a strong communicator and team player who can effectively collaborate with cross-functional teams to achieve our goals. If you're passionate about NixOS, embedded systems, and software development, we encourage you to apply for this exciting opportunity.

The salary range for this role is $129,000-$171,000 USD, and highly competitive equity grants are included in the majority of full-time offers. Additionally, Anduril offers top-tier benefits for full-time employees, including comprehensive medical, dental, and vision plans, income protection, generous time off, family planning and parenting support, mental health resources, professional development, commuter benefits, and relocation assistance.

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As a Technical Enablement Lead, you'll own Claude Code enablement,building demos, labs, and content that help sellers showcase agentic coding. This is an ideal role for an engineer who loves teaching, loves developer tools, and wants to shape how field teams talk about the future of AI-assisted development.

Key responsibilities include:

• Deliver Claude Code training for onboarding and ongoing enablement programs
• Create and maintain training content: demo scripts, hands-on labs, use case libraries, quick-reference guides
• Build compelling demo scenarios across industries and developer personas
• Develop competitive positioning content,battlecards, differentiation guides, objection handling
• Run demo coaching sessions and weekly office hours
• Translate new Claude Code features into field-ready content rapidly
• Gather field feedback and track content effectiveness to continuously improve programs

Requirements include:

• 7+ years in a technical role (software engineering, solutions engineering, developer advocacy, or technical enablement)
• Strong programming skills,you've shipped real code recently, not just slideware
• You use AI coding tools (ideally Claude Code) extensively in your own work,not as a novelty, but as core infrastructure for how you build and ship
• Track record delivering live technical training or talks
• Experience partnering directly with sales, solutions engineering, or GTM teams

Nice to have:

• Experience coaching others on demos or presentations
• Familiarity with enterprise developer workflows
• Public speaking, conference presentations, or community-facing developer advocacy

Location & Travel:

Location is flexible, with preference for proximity to a major hub (SF, NYC, or Seattle). Regular travel is expected for in-person training delivery and field events.

Annual compensation range for this role is $270,000-$310,000 USD.

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In this role, you'll be responsible for contributing to real-world projects that support our products and platforms. You'll work closely with our team to design, implement, and test software solutions. You'll also have the opportunity to learn from our experienced engineers and develop your skills in a fast-paced environment.

To be successful in this role, you'll need to have strong programming fundamentals, clear communication, and a strong problem-solving ability. You'll also need to be able to commute to our offices in Bethesda, MD or Waltham, MA, and commit to the program for the full 10 weeks.

The US base hourly range for this position is $30-35 per hour. Actual compensation offered will be based on factors such as your work location, qualifications, skills, experience, and/or training.

We offer comprehensive benefits and holistic mind, body, and lifestyle programs designed for overall well-being. Learn more about our benefits here.

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You will design, build, and maintain detections that identify malicious activity across Stripe's infrastructure, applications, and cloud environments.

Responsibilities

• Design, build, and tune high-fidelity detections across modern SIEM platforms, covering adversary TTPs across the full attack lifecycle
• Develop detection hypotheses by researching TTPs, identifying evidence sources, and determining detection opportunities across available telemetry
• Conduct hypothesis-driven threat hunts to identify malicious activity, uncover detection gaps, and validate security controls
• Perform malware analysis and reverse engineering to extract indicators and inform detection strategies
• Build network-based detections (flow, pcap, protocol analysis) and endpoint-based detections (event logs, EDR telemetry, memory/file artifacts) across Windows, Linux, and macOS
• Partner with Threat Intelligence to operationalize intel reports into detections, hunting leads, and enrichment logic
• Collaborate with IR, SOC, and offensive security teams to validate and refine detections based on real-world incidents and red team exercises
• Build data pipelines, automation, and tooling that enable detection-as-code practices and scalable deployment
• Map detection coverage to MITRE ATT&CK, identifying and prioritizing gaps across key attack surfaces
• Lead projects, mentor teammates, and champion quality standards within the team

Requirements

• 5+ years of experience in detection engineering, threat hunting, or security operations
• Demonstrated experience writing detection logic in modern SIEM platforms (e.g., Splunk, Chronicle, Elastic, CrowdStrike NG-SIEM, Panther, Microsoft Sentinel)
• Strong understanding of adversary tradecraft across the attack lifecycle: initial access, privilege escalation, lateral movement, defense evasion, persistence, and exfiltration
• Ability to extract TTPs from threat intelligence reports and translate them into detection opportunities
• Experience developing network-based and endpoint-based detections across multiple OS platforms (Windows, Linux, macOS)
• Experience analyzing telemetry across endpoint, network, cloud (AWS/GCP/Azure), identity, and application log sources
• Proficiency in detection/query languages (SPL, KQL, EQL, YARA-L, SQL) and programming (Python or similar)
• Strong communication skills with the ability to document detection logic and explain findings to technical and non-technical audiences
• Adversarial mindset , understanding how attackers operate to build detections that catch real-world threats

Preferred Qualifications

• Experience in detection engineering or threat hunting within fintech, financial services, or highly regulated environments
• Background in malware analysis, reverse engineering, or threat research
• Experience with purple team operations , collaborating with offensive security to validate detections
• Familiarity with big data platforms (Databricks, Trino, PySpark) for large-scale log analysis
• Proficiency with AI/LLM-assisted development tools (Claude Code, Cursor, GitHub Copilot) applied to detection workflows
• Interest in agentic automation , using LLMs to augment hunting, tuning, or triage
• Experience with detection validation tools (Atomic Red Team, ATT&CK Evaluations)
• Contributions to open-source detection content, research, or conference presentations
• Relevant certifications such as HTB CDSA, GCIH, GCFA, GNFA, OSCP, TCM PMAT, or GREM

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Our team is responsible for functions across corporate security, detection & response and infrastructure security domains; and we perform systems engineering and automation to support those functions. Security Operations is part of our wider Trust & IT organization which means you will have the opportunity to work closely with Application Security, Corporate Engineering, GRC and IT and to improve security configurations, drive positive employee behaviors and generally work to prevent events from becoming incidents.

You will also help build and maintain our team’s open source project Substation and have the opportunity to contribute to the Brex Tech Blog. You’ll be part of a team that actively contributes to the wider security community and has a commitment to mentorship and engineering excellence.

We’re looking for individuals with a strong background and interest in detecting, responding to, and resolving security incidents and security challenges. You should be comfortable dealing with lots of moving pieces, changing priorities, and new technologies, while having a keen eye for detail. Most importantly, you should be enthusiastic about working with a variety of backgrounds, roles, and people across Brex.

Building a world-class financial service requires world-class security.

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In your first year, you'll focus on building AI-enabled workflows, integrating and implementing new systems, and creating better visibility into legal operations through data, reporting, and automation. You'll also help bring AI-powered capabilities into legal processes, including contract review and decision support within tools such as Ironclad CLM and related platforms.

Responsibilities:

• Design and build automated workflows for legal tasks such as contract review, non-disclosure agreement routing, intellectual property enforcement, compliance monitoring, data retention, inventorying, and data subject request processing.

• Develop custom AI prompts, decision trees, and logic layers that support a wide array of AI use-cases within our connected tools.

• Partner with internal AI and machine learning teams to embed legal logic into broader company automation and tooling.

• Build self-service resources, including intake forms, playbooks, and decision trees, that reduce ad hoc legal requests and improve team efficiency.

• Own technical administration for parts of the legal technology stack, including contract lifecycle management, e-billing, compliance platforms, and workflow automation tools.

• Evaluate new legal technology solutions, from prototyping and vendor assessment through integration and user adoption.

• Collaborate with Sales, Finance, Security, Trust & Safety, and People teams to streamline legal dependencies and implement scalable system integrations with platforms such as Salesforce and Zuora.

• Create dashboards, reporting infrastructure, and data models that support legal analytics, leadership visibility, compliance automation, and customer-facing guidance on product-specific metrics.

Requirements:

• Experience building, configuring, or significantly customising legal technology systems beyond basic administration.

• Knowledge of in-house legal workflows, including contracts, compliance, intake, and matter management.

• Ability to work with technical tools such as contract lifecycle management platforms, workflow automation tools, SQL or database querying, application programming interface integrations, or scripting languages such as Python or JavaScript.

• Comfort translating between legal, technical, and business stakeholders to turn requirements into clear technical solutions.

• Experience supporting cross-functional work with teams such as Sales, Finance, Security, Trust & Safety, or People.

• Ability to build structured reporting or data solutions that support operational decisions, compliance processes, or legal analytics.

• Strong written and verbal English communication skills for success in a remote, largely asynchronous environment.

• Openness to transferable experience from legal operations, legal technology, technical program work, or other roles that combine systems thinking with legal process improvement.

About the team: The Legal & Corporate Affairs team supports GitLab by helping the business move efficiently while managing legal and compliance risk. Within that function, this role focuses on the systems, workflows, and data infrastructure that power legal operations, from contract lifecycle management and e-billing to compliance automation and reporting.

You'll work with a distributed group of legal and cross-functional partners across regions, using asynchronous collaboration to design solutions that scale across the company. The team is focused on reducing manual work, improving self-service, and building dependable integrations between legal systems and GitLab's broader business tools so legal support is easier to access and easier to measure.

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At Cloudflare, we're 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.

Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

Security is at the heart of Cloudflare's mission to help build a better Internet. Anytime we push code, it automatically affects the millions of Internet properties (powering websites, remote teams, APIs, mobile apps, etc.) running on our global network.

About the Internship Program

The ideal Security intern is passionate about making the Internet a more secure place. You will work alongside experienced security team members to partner with them in planning, executing and overseeing initiatives that help improve Cloudflare's security posture.

We are looking for interns who are curious, proactive, and able to approach problems with a 'security-first' mindset. This is a unique opportunity for candidates who want to learn how to defend systems at a scale that few other companies can offer.

Responsibilities

• Execute a specialized security project over 12 weeks that directly improves Cloudflare's defensive posture.

• With a focus on threats and how they operate, work to build and improve systems that are the front lines of protecting Cloudflare from malicious attacks.

• Work with Incident Response Engineers to triage and respond to security alerts and incidents.

• Use the latest technologies and techniques to engineer solutions to enhance incident response and security operations. Including automation, agentic AI and others

• Work cross-functionally with Legal, People, Engineering, and Finance teams to integrate security into the fabric of the company.

• Work closely with a mentor who will provide hands-on guidance in your specific security domain.

• Present your security project to the entire company at the end of the internship.

• Connect and learn from our executives and leadership team including our co-founders.

• Write for our Cloudflare blog and be featured on Cloudflare.tv sessions.

Desirable Skills, Knowledge and Experience

• Understanding of attacker Tools, Techniques, and Procedures (TTPs)

• Understanding of operating systems, SaaS applications, CI/CD, and common security tools.

• Understanding of the Incident Response Lifecycle.

• Proficiency in at least one scripting/programming language for automation.

• Demonstrated critical thinking skills and drive to learn and adapt new technologies.

• Curiosity, empathy and ability to get things done.

• Ability to commit to a minimum 12 week summer internship.

• In office 3-5 days a week in the Austin office.

Bonus: Demonstrated passion for security & software development, such as personal projects, open-source contributions, or experience with our developer platform using Cloudflare for Students.

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You'll perform penetration testing, conduct threat modeling, and provide guidance to engineering teams on secure design and best practices. This role also involves developing security tooling, researching emerging threats, and contributing to the continuous improvement of CoreWeave's overall security posture.

Some of what you'll work on:

• Perform penetration testing as well as purple and red team exercises.
• Conduct threat modeling, code reviews, and design reviews for development teams.
• Research new attack techniques and develop strategies to counter them.
• Develop and enforce security best practices and standards, maintaining internal compliance.
• Provide solutions to complex security issues, manage multiple tasks, and prioritize effectively in a fast-paced environment.
• Present technical security information to both technical and non-technical audiences.
• Maintain technical documentation, reports, and security tooling with attention to detail.
• Participate in other security-related initiatives as assigned.

Who You Are:

• 5+ years of experience in offensive information security roles.
• Proficiency in at least one programming or scripting language (e.g., Go, Python, C/C++) for automation, code reviews, and tooling.
• Hands-on penetration testing experience and familiarity with offensive security tools.
• Strong technical knowledge of Linux operating systems and containerized environments.
• Experience securing Kubernetes and understanding related security practices.
• Able to navigate ambiguity, identify root causes, and solve complex security problems.
• Excellent written and verbal communication skills with strong technical documentation abilities.
• Capable of working independently while managing multiple priorities in a fast-paced environment.
• Strong desire to continuously learn and adopt new technologies and security techniques.

Preferred:

• Experience with firmware reverse engineering, analyzing binaries, bootloaders, and embedded systems for vulnerabilities.
• Relevant certifications such as Sec+, Net+, OSCP, or equivalent.
• Experience with EDR tuning, detections-as-code, or threat hunting as part of a Blue Team.
• Deep understanding of business-wide security best practices and implementation strategies.

Wondering if you're a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match.

Here are a few qualities we've found compatible with our team.

If some of this describes you, we'd love to talk.

• You love hunting vulnerabilities and proactively improving security.
• You're curious about evolving attack vectors and defense strategies.
• You're an expert in offensive security techniques and tooling, with a passion for safeguarding systems.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast!

We're in an exciting stage of hyper-growth that you will not want to miss out on.

We're not afraid of a little chaos, and we're constantly learning.

Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking.

We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems.

As we get set for takeoff, the organization's growth opportunities are constantly expanding.

You will be surrounded by some of the best talent in the industry, who will want to learn from you, too.

Come join us!

The base salary range for this role is $165,000 to $242,000.

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).

What We Offer

The range we've posted represents the typical compensation range for this role.

To determine actual compensation, we review the market rate for each candidate which can include a variety of factors.

These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance
• 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

Our Workplace

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.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace.

All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship.

If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information.

To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the information under an appropriate export license, or (C) otherwise exempt from the regulations.

Applicant must also comply with all applicable laws and regulations related to the handling and transfer of export-controlled information.

By applying for this position, applicant acknowledges that they have read, understand, and will comply with these requirements.

Failure to comply with these requirements may result in termination of employment, revocation of any security clearances, or other disciplinary action.

Applicant must also agree to undergo a background investigation and obtain any necessary security clearances prior to commencing employment.

Please note that this position is subject to U.S. Government export regulations and may require applicant to sign a non-disclosure agreement (NDA) prior to commencing employment.

Applicant must also agree to comply with all applicable laws and regulations related to the handling and transfer of export-controlled information.

By applying for this position, applicant acknowledges that they have read, understand, and will comply with these requirements.

Failure to comply with these requirements may result in termination of employment, revocation of any security clearances, or other disciplinary action.

Applicant must also agree to undergo a background investigation and obtain any necessary security clearances prior to commencing employment.

Please note that this position is subject to U.S. Government export regulations and may require applicant to sign a non-disclosure agreement (NDA) prior to commencing employment.

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Job Description:

At Cloudflare, we are on a mission to help build a better Internet. We protect and accelerate any Internet application online without adding hardware, installing software, or changing a line of code.

The Solution Engineering organization is responsible for the technical sale of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers.

As a Senior Solutions Engineer, Majors Accounts, you will be a customer-facing technologist within the Cloudflare Solutions Engineering team. You will have strong experience in large account pre-sales management as well as excellent verbal and written communications skills suited for executive-level engagement.

Your role will be to build passionate champions within the technology ranks at your accounts, drive sales for identified opportunities, and leverage your relationships with these technical champions to build a revenue pipeline where no opportunities yet exist.

Responsibilities:

• Build and maintain long-term technical relationships with the technical buyers (executives, managers, and individual contributors) at your assigned accounts, becoming a trusted advisor to those stakeholders.
• Deeply understand the business-critical issues that your accounts are facing, and provide meaningful solution designs to facilitate technical validation of Cloudflare as a part of the customer's infrastructure, including the coordination of Cloudflare colleagues throughout the sales and procurement cycle.
• Identify and drive technical conversations in every possible line of business within the accounts, engaging key technical buyers with the purpose of uncovering new areas of potential revenue & showing value to all possible parts of your accounts.
• Empower customers in their security and network transformation journeys, helping them to define strategies and architect necessary security controls aligned with Cloudflare product suites.
• Be the voice of the customer internally at Cloudflare, engaging with and influencing Cloudflare's Product and Engineering teams to meet your customers' needs.
• Represent and evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity, and other industry events with thought leadership and expertise.

Qualifications:

• Polished communication and executive presentation skills with the ability to drive a discussion with a broad range of stakeholders (from the web developer to the CISO).
• Relationship building: a proven track record of building deep technical relationships with engineers and senior executives in large and strategic accounts.
• Experience managing various stakeholder relationships to build consensus on security solutions/projects.
• Experience managing technical sales within large accounts.
• Developing champion-style relationships
• Driving technical wins
• Assisting with technical validation
• A deep understanding of core industry components of Cloudflare solutions (and a desire to learn more):
• Internet security technologies including DDoS and DDoS mitigation, Firewalls, TLS, VPN, DLP
• Networking technologies including TCP, UDP, DNS, IPv4 + IPv6, BGP routing, GRE, SD-WAN, MPLS, Global Traffic Management
• HTTP technologies including reverse proxy (e.g., WAF and CDN), forward proxy (secure web gateway), serverless application development
• Zero-trust network access (ZTNA & SASE) concepts including identity management and authentication
• Cloud computing technologies such as AWS, GCP, Azure, and others
• Some scripting or programming experience with one or more of JavaScript, Python, Golang, BASH
• Understanding of, or experience with, regulatory requirements such as FedRAMP, GDPR, PCI DSS, HIPAA, SOC-2, ISO/IEC.

Compensation:

For San Francisco-based hires: Estimated annual salary of $244,000 - $336,000.

Los Angeles-based hires: Estimated annual salary of $234,000 - $321,000.

This role is eligible to earn incentive compensation under Cloudflare's Sales Compensation 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!

The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance

Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan

Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave

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You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities

• Partner with account executives across Japan to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
• Serve as the primary technical advisor to enterprise customers across Japan throughout their Claude adoption journey, from discovery to initial evaluation through deployment
• Support customers building with both the Claude API and Claude for Work
• Create and deliver compelling technical content tailored to different audiences across Japan
• Guide technical architecture decisions and help customers across Japan integrate Claude effectively into their existing technology stack
• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
• Identify common integration patterns and contribute insights back to our Product and Engineering teams
• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

Requirements

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
• Native-level Japanese fluency and business-level English required
• Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
• Experience designing scalable cloud architectures and integrating with enterprise systems
• Comfortable with Python
• Familiarity with common LLM frameworks and tools or a background in machine learning or data science
• Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• A love of teaching, mentoring, and helping others succeed
• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders
• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

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You will own and influence systems spanning Salesforce CRM, CPQ, Billing, Partner Portal, and their integrations into the broader Commerce ecosystem, driving improvements in platform architecture, system simplification, and data consistency across complex, distributed workflows.

You will be responsible for driving technical strategy across a highly customized, revenue-critical platform, including planning and executing modernization efforts, measuring system reliability and data integrity, and evaluating tradeoffs between short-term business needs and long-term platform health.

You will operate at the intersection of engineering, Sales, and Finance, with high visibility and ownership over decisions that directly impact revenue, customer experience, and the scalability of Dropbox’s monetization systems.

Responsibilities:

• Design and evolve scalable backend systems that power Dropbox’s Commerce Platform, including CRM, CPQ, Billing, provisioning, and related data workflows.

• Define and drive technical strategy for complex, highly customized systems, balancing short-term delivery with long-term platform scalability and reliability.

• Lead efforts to simplify legacy architectures, reduce system fragmentation, and build generalized, product-agnostic solutions.

• Own end-to-end reliability of revenue-critical systems, including validation, rollout safety, monitoring, and incident response.

• Partner cross-functionally with Engineering, Sales, Finance, and GTM teams to translate business requirements into durable technical solutions.

• Identify and execute on opportunities to improve data integrity, system observability, and operational efficiency across the platform.

• Take ownership of large, ambiguous problem spaces and drive them from definition through execution, influencing both technical and business stakeholders.

Requirements:

• BS, MS, or PhD in Computer Science or a related technical field involving programming (e.g., Computer Engineering), or equivalent practical experience.

• 12+ years of professional software development experience.

• Proven expertise in building and maintaining large-scale, distributed backend systems.

• Strong system design skills, particularly in complex, stateful, or workflow-driven systems

• Experience building reliable systems with a focus on validation, rollout safety, monitoring, and maintainability

• Experience working on systems in a monetary domain such as ecommerce, subscriptions, billing, payments, or financial systems

• Strong communication and collaboration skills, with experience influencing cross-functional stakeholders

Preferred Qualifications:

• Experience with CRM, CPQ, Billing, ecommerce, or similar enterprise workflow platforms (e.g., Salesforce)

• Track record of simplifying or modernizing legacy systems into scalable, maintainable architectures

• Experience working on revenue-critical or monetization platforms at scale

• Experience improving data consistency and integrity across distributed systems

• Demonstrated ability to influence technical direction across teams without direct authority

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Day-to-day, you'll work across the stack - from React-based frontends to backend services running on Kubernetes - while integrating AI/LLM capabilities into real-world applications. This role offers high visibility and the opportunity to directly influence how data is consumed and operationalized across the company.

The ideal candidate has 7+ years of experience building production-grade software applications, including both backend services and modern web frontends. They should have strong proficiency in backend programming languages (Python, Go, Java, C#) and frontend programming languages (JavaScript, TypeScript).

In addition to technical skills, the successful candidate will be a curious and creative problem-solver who is passionate about building user-facing applications that turn complex data into intuitive experiences. They should be able to take ownership of complex systems end-to-end, from design through deployment and iteration.

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

itertools[''] -> Be Curious at Your Core itertools[''] -> Act Like an Owner itertools[''] -> Empower Employees itertools[''] -> Deliver Best-in-Class Client Experiences itertools[''] -> Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems.

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We are looking for a Principal Engineer to join our team at Intercom. As a Principal Engineer, you will lead the definition and execution of key strategic initiatives, working autonomously and being accountable for strategic execution in part of the engineering organization.

You will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. You will coach and mentor other engineers and partner closely with the Group Engineering Managers on technical strategy and leadership.

Responsibilities:

• Have a mastery of domain knowledge and work as a leader within the R&D org to drive key strategic projects.

• Provide assessments of project progress, risks and challenges to engineering leadership to help guide resource allocation and prioritisation.

• Contribute to our technical architecture as we grow. We scale to service requests from all our customers' customers. We're growing and so are they.

• Care about agility as much you care for scalability and availability. Continuous deployment keeps us focused on incremental releases. Even our biggest technical achievements roll out piece by piece, feature flagged out of sight.

• Contribute to all phases of software development including ideation, prototyping, design and implementation. This role has a mix of both hands-on development as well as lead/architecture work.

• 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.

• Play an active role in hiring, mentoring and career development of other engineers

• Raise the bar for technical standards, performance, reliability, and operational excellence

Requirements:

• Ideally, you've built an exciting SaaS product in your previous roles and loved the satisfaction that comes with knowing that people around the world are using something you've created

• Significant, demonstrated impact that your work has had on the product and/or the teams

• Deep knowledge of a high-level programming language (for example, Ruby, Python, Perl etc.) but it doesn't need to be a language that we use here! Great people are effective and learn what we use quickly (or introduce us to better ways of working)

• You will have experience with Distributed systems

• 2+ years of experience as the primary technical leader for a team

• Experience collaborating directly with technical leaders, product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Intercom are pragmatists who work closely with others on cross-disciplinary teams and have a strong sense of product strategy

Benefits:

• 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

• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

Policies:

• Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

• We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

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In this role, you will lead first-line Managers and teams of pre-sales Solutions Architects focusing on complex accounts, helping to drive our expansion in the Benelux across various industries.

Your experience in partnering with sales organisations will help to grow consumption, whilst coaching new sales and pre-sales team members to work together and raise the bar to best in class.

You will guide your team and be involved with opportunities to enhance your team's effectiveness.

Key responsibilities include:

• Hire and manage first-line Managers and a growing team of technical pre-sales Solutions Architects
• Build a collaborative culture within a rapid-growth team
• Support increased return on investment of Solutions Architect involvement in sales cycles
• Create trust-based relationships with customers for the long term and understand category-specific landscapes and trends
• Promote a solution and value-based selling field-engineering organisation

To be successful in this role, you will need:

• 5+ years of second-line leadership experience, manager of managers with teams of 20+ individuals
• Relevant high-growth enterprise software pre-sales success with senior-level tenure at a reputable software company, with experience of the EMEA region
• Ability to elevate the engagement with a track record of driving large transactions and high growth customers
• Proven leadership ability to influence, develop, and empower your team to achieve objectives with a team approach
• Proven track record of transformational success and delivery of customer value
• Track record of building strong ecosystems of lucrative customer relationships and cross-functional partnerships
• Experience in complex strategic accounts generating +$5M ARR
• Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
• Great at instituting processes for technical field members to improve efficiency

Required skills include:

• Leadership
• Sales
• Pre-sales
• Solutions architecture
• Customer relationship management
• Data-driven decision making
• AI
• Cloud software

Preferred skills include:

• Programming languages (e.g. Python, Java)
• Data analysis tools (e.g. SQL, Tableau)
• Cloud platforms (e.g. AWS, Azure)

If you are a motivated and experienced professional looking to take on a challenging role, please submit your application.

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CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025.

About the Role

Production Engineering ensures CoreWeave’s cloud delivers world-class reliability, performance, and operational excellence. We are hiring a Senior Production Engineer to take direct, hands-on ownership of critical tooling that drives reliability and delivery success.

In this role, you will work broadly across the cloud stack designing, implementing, deploying, and operating systems that improve delivery velocity, service availability, and operational safety. You’ll be responsible for leading end-to-end technical projects, maintaining long-lived systems the team owns, and strengthening our operational foundations through durable engineering investments.

This is a role for someone who enjoys building, debugging, and operating production systems. You will collaborate closely with service owners, but your primary impact comes from the reliability, quality, and maturity of the systems you deliver and maintain over time.

What You’ll Do

• Take hands-on ownership of critical systems and frameworks, driving their architecture, implementation, and long-term evolution.

• Lead end-to-end delivery of engineering projects that improve availability, scalability, operational automation, and failure recovery.

• Build and maintain observability, alerting, automated remediation, and resilience testing for the systems you support.

• Participate in incident response as a subject-matter expert; drive deep root-cause investigations and implement lasting fixes.

• Improve runbooks, sources of truth, deployment workflows, and operational tooling to harden production readiness.

• Eliminate single points of failure and reduce operational toil through automation, refactors, and system redesigns.

• Ship production code regularly in Python, Go, or similar languages, and participate in on-call rotations.

• Maintain and mature long-term projects and frameworks owned by the team, ensuring they remain reliable, well-instrumented, and easy to operate.

• Collaborate with platform teams to ensure new features and services integrate cleanly with our reliability best-practices and tooling.

What You’ve Worked On (Minimum Qualifications)

• 7+ years of engineering experience building and operating distributed systems or cloud platforms.

• Demonstrated ability to debug complex production issues end-to-end, across services, infrastructure layers, and automation.

• Strong programming or scripting ability (Python, Go, or similar), with experience shipping and operating production services and tools.

• Deep knowledge of cloud-native technologies and distributed system patterns, particularly Kubernetes.

• Experience with modern observability stacks: metrics, tracing, structured logs, SLOs/SLIs, and incident lifecycle practices.

• A track record of successfully delivering hands-on reliability improvements through engineering execution.

Preferred Qualifications

• Experience building internal tooling, frameworks, or automation that supports high-availability cloud operations.

• Familiarity with DR/BCP, service tiering, capacity planning, or chaos engineering.

• Background operating or building large-scale AI or GPU-accelerated infrastructure.

• Experience maintaining multi-year ownership of foundational production systems.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core

• Act Like an Owner

• Empower Employees

• Deliver Best-in-Class Client Experiences

• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $139,000 to $204,000. 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).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance - 100% paid for by CoreWeave

• Company-paid Life Insurance

• Voluntary supplemental life insurance

• Short and long-term disability insurance

• Flexible Spending Account

• Health Savings Account

• Tuition Reimbursement

• Ability to Participate in Employee Stock Purchase Program (ESPP)

• Mental Wellness Benefits through Spring Health

• Family-Forming support provided by Carrot

• Paid Parental Leave

• Flexible, full-service childcare support with Kinside

• 401(k) with a generous employer match

• Flexible PTO

• Catered lunch each day in our office and data center locations

• A casual work environment

• A work culture focused on innovative disruption

Our Workplace

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.

California Consumer Privacy Act - California applicants only

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You'll develop CoreWeave's storage systems by building reliable, scalable, and high-throughput solutions that power some of the largest and most innovative AI workloads in the world.

This role involves close collaboration with teams across infrastructure, compute, and platform to ensure our storage services scale automatically and seamlessly while maximizing performance and reliability.

About the role:

• Design and implement a highly scalable multi-tenant control plane that supports CoreWeave's growing AI storage and cloud infrastructure needs.
• Contribute to the development of exabyte-scale, S3-compatible object storage, distributed file system and integrate dedicated storage clusters into diverse customer environments.
• Work with technologies such as RDMA, GPU Direct Storage, RoCE, InfiniBand, SPDK, and distributed filesystems to optimize storage performance and efficiency.
• Participate in efforts to improve the reliability, durability, and observability of our storage stack.
• Collaborate with operations teams to monitor, analyze, and optimize storage systems using telemetry, metrics, and dashboards to improve performance, latency, and resilience.
• Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.
• Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems, especially focusing on low level storage details that improve performance and durability.

Who You Are:

• Bachelor’s, Master’s, or PHD degree in Computer Science, Engineering, or a related field.
• 8–10+ years of experience working in storage systems engineering.
• Strong hands-on experience with object storage, block storage or distributed filesystems in production environments.
• Proficiency in a systems programming language such as Go, C, or Rust.
• Solid understanding of cloud-native infrastructure, Kubernetes, and scalable system architecture.
• Strong debugging and problem-solving skills in distributed, high-performance environments.
• Clear communicator, able to work collaboratively across teams and share technical insights effectively.
• Familiarity with the trade offs between HDD and SSD based storage systems.

The base salary range for this role is $206,000 to $303,000.

In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance
• 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

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Your responsibilities will include driving the design and implementation of new features, creating high-quality, maintainable code, and collaborating with other engineers. You'll also work cross-functionally with other teams, including data science, design, product, marketing, and analytics.

To succeed in this role, you'll need 4+ years of development experience in software engineering, proficiency in at least one JVM programming language, and experience with major frameworks like Spring, Spring Boot. You'll also need hands-on experience with SQL databases, cloud environments, and streaming and messaging technologies.

This is a full-time position with a salary range of $199,000-$244,000, plus equity and benefits. The role will be hybrid from our Vancouver office, with 2 days a week in the office required.

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You will work on interdisciplinary challenges, collaborate across teams, and deploy critical software in real-world environments. If you thrive in a fast-paced environment, enjoy solving complex problems, and are passionate about creating impactful robotics systems, this opportunity is for you.

Key Responsibilities:

• Develop Mission-Critical Software: Engineer scalable and robust solutions for networking, sensor integration, and autonomy across robotic platforms.
• Sensor Integration: Work with a variety of sensors (e.g., cameras, LiDAR, IMUs) to enable perception, localization, and navigation.
• Networking Systems: Design and optimize distributed communication networks and message-passing frameworks for multi-robot coordination.
• Collaborate Cross-Functionally: Partner with hardware, systems, and manufacturing teams to seamlessly integrate software into physical systems.
• Real-World Deployment: Travel up to 25% to test, debug, and deploy systems in operational environments.
• Iterative Development: Contribute to the entire software lifecycle, including prototyping, implementation, testing, and deployment.
• Optimize Performance: Enhance system efficiency, such as improving latency, battery consumption, and resource utilization.
• Troubleshoot and Debug: Analyze and resolve issues in deployed systems, ensuring reliability and operational success.

Requirements:

• Technical Expertise: Bachelor’s or Master’s degree in Robotics, Computer Science, Software Engineering, Mathematics, or Physics.
• C++ and Rust Proficiency: 2+ years of hands-on experience developing production-grade software in C++ and/or Rust.
• Networking Knowledge: Experience with distributed communication networks, protocols, and message standards.
• Sensor Integration: Proven ability to work with and integrate sensors (e.g., LiDAR, cameras, IMUs) into robotics systems.
• Systems-Level Thinking: Ability to navigate and contribute to complex systems and established codebases.
• Real-World Impact: Passion for building software that directly influences mission-critical outcomes.
• Travel Flexibility: Willingness to travel up to 25% to test and deploy systems.

Preferred Qualifications:

• Advanced Robotics: Experience with motion planning, perception, localization, and multi-agent coordination.
• Simulation Expertise: Proficiency in designing Software-in-the-Loop (SIL) simulation environments.
• Hardware Integration: Experience working with embedded systems and physical devices.
• Performance Optimization: Familiarity with metrics and optimization techniques for robotics systems.
• Programming Skills: Additional experience with Python, and/or real-time operating systems.
• Machine Learning: Knowledge of AI/ML applications in robotics.
• Security Clearance: Active or prior U.S. Secret clearance is a plus.

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You will work on real-world projects, collaborate with experienced professionals, gain valuable experience in the fintech industry, and realise business and social impact. This role requires hybrid work from our Mountain View office, with 2 days a week in person. This internship will pay $40 per hour, with an expected 40 hours per week for the 12-week program.

Responsibilities:

• Train and fine-tune large-scale Foundation Models to support various fintech product use cases
• Work with a large dataset, including structured and unstructured data
• Help in ensuring improvements in our current ML systems via model, data, or experimentation upgrades
• Gain hands-on experience with a wide array of technologies, including PyTorch, AWS, Kafka, Databricks, etc

Requirements:

• Actively pursuing a Master's or PhD in Computer Science, Information Technology, or a related field
• Located in Mountain View, or have the ability to relocate there, for the duration of the internship
• Strong understanding of statistical models, familiarity, and in-depth understanding of machine learning and deep learning algorithms. Familiarity with training or fine-tuning large-scale models, Sequence Transformer models
• Interest in multimodal or multitask learning across structured, sequential, and behavioural data
• Familiarity with AI tools, harness engineering, agentic workflow, etc.
• Hands-on programming experience in Python and ML frameworks such as PyTorch
• Equipped with good verbal and written communication skills
• A background demonstrating strong problem-solving skills
• Committed to taking ownership of projects, conducting thorough investigations, and driving initiatives to conclusion

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Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and machine learning infrastructure.

Key responsibilities include:

• Building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.

• Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.

• Developing tools and processes that drive engineering efficiency at Databricks.

We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks.

To be successful in this role, you will need:

• 2+ years of professional software development experience, or alternatively a PhD degree.

• Proficiency in one or more backend languages such as Java, Scala, or Go.

• Hands-on experience in developing and operating backend systems.

• Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members.

• Self-driven and passionate with a strong focus on delivering impact through team collaboration.

• Strong communication skills, both written and verbal, with the ability to produce clear technical documentation that drives alignment and decision-making.

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Key Responsibilities:

• Partner with Account Executives and Account Managers to drive complex, multi-threaded sales cycles with strategic prospects.
• Create and present customized product demonstrations of Pave's End to End Compensation Management suite to prospective customers.
• Create and run compelling proof of concept trials with potential customers by defining success criteria and helping them achieve those goals.
• Conduct technical discovery sessions to uncover business pain points, technical requirements, and success criteria.
• Create and present technical proposals, proof-of-concept implementations, and ROI analyses.

Requirements:

• 5+ years of experience in sales engineering, solutions consulting, or similar.
• Strong understanding of enterprise SaaS operating systems (preferably experience with HRTech software).
• Proficiency in integrating and troubleshooting RESTful APIs and webhooks in client environments.
• Proficiency in at least one programming language (Python, Java, JavaScript, etc.).
• Prior experience in technology sales with start-up experience preferred.
• Track record of consistently meeting and exceeding revenue targets for your organization's Go-To-Market function.

Total Rewards Package:

• Meaningful equity
• Best-in-class medical, dental, and vision coverage
• Unlimited PTO
• Region-specific benefits designed around your life , not just your role
• Targeted cash compensation for this role: Tier 1: $133,000 (Base) + $57,000 (Variable) = $190,000 OTE; Tier 2: $119,700 (Base) + $51,300 (Variable) = $171,000 OTE; Tier 3: $113,000 (Base) + $48,500 (Variable) = $161,500 OTE

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Your primary responsibilities will include designing, developing, and managing controls systems for manufacturing, architecting and writing PLC code, generating and enforcing internal standards for control systems architectures, and integrating internal and external FactoryOS software into automation equipment and production lines.

You will also lead root cause analysis and corrective actions for automation failures, install, configure, and tune servo drives/VFDs, and partner with cross-functional teams to troubleshoot equipment issues, reduce downtime, and drive continuous improvement initiatives.

To be successful in this role, you will need a bachelor's degree in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a similar field, and 8+ years of experience in controls and automation in a production environment. You should be proficient in PLC programming on both Rockwell and Siemens platforms, Ignition SCADA development, and servo drive and VFD configuration, PID tuning, STO/SS, etc.

Preferred qualifications include 10+ years of experience in controls and automation in a production environment, experience with control panel layout, electrical component selection, and cable routing, and familiarity with CAD packages including Solidworks, NX, CATIA, and AutoCAD.

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We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads.

The role involves designing and implementing distributed storage solutions to support scaling data-intensive AI workloads, contributing to the development of exabyte-scale, S3-compatible object storage, and integrating dedicated storage clusters into diverse customer environments.

Key responsibilities include working with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols like NFS or FUSE to optimise storage performance and efficiency, participating in efforts to improve the reliability, durability, and observability of our storage stack, collaborating with operations teams to monitor, troubleshoot, and improve storage systems in production environments, and helping develop metrics and dashboards to provide visibility into storage performance and health.

The ideal candidate will have a strong background in storage systems engineering or infrastructure, with experience working with object storage or distributed filesystems in production environments, proficiency in a systems programming language like Go, C, or Rust, and familiarity with storage observability tools and telemetry pipelines.

As a senior software engineer, you will be responsible for designing, developing, and deploying scalable and efficient storage solutions, working closely with cross-functional teams to ensure seamless integration with other components of the platform, and mentoring junior engineers to help them grow in their roles.

If you are passionate about building high-performance storage solutions and have a strong background in software engineering, we encourage you to apply for this exciting opportunity.

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The Enterprise SaaS team owns the collaboration and productivity platforms every person at Anthropic touches every day , Google Workspace, Slack, and the surrounding ecosystem of enterprise tools. We're responsible for tenant-wide architecture, API-level integration, and the governance that keeps these platforms secure and scalable as the company doubles and doubles again.

You'll make the architecture decisions that shape how thousands of people work: data governance for collaboration content, the application side of SSO and SCIM provisioning, and the integrations that fill gaps the vendors left open. You'll write Python against SaaS APIs where the admin console stops, and you'll be the final escalation tier when the vendor docs stop helping. The scope is the full collaboration stack , cloud infrastructure and endpoints live with separate teams, so this role goes deep rather than wide.

If you've hit the ceiling of what the admin console can do and started solving problems in code, this is that job. You'll partner closely with IT Operations, Security, and the IAM team on the identity and access layer everything else depends on. This role is high-autonomy: you'll define tenant architecture, write the integrations, and represent the SaaS platform across IT. Your work will directly shape how we scale to AI Safety Level 4 and beyond.

Responsibilities

• Own tenant-wide architecture for Google Workspace, Slack, and core collaboration platforms

• Design compartmentalization and data-governance models that scale with the company

• Build integrations and automation against SaaS APIs to automate provisioning and catch drift

• Configure the application side of SSO connections and SCIM attribute mappings

• Serve as the final escalation tier for platform issues Support can't resolve

• Lead vendor relationships , roadmap influence, escalation paths, engineering-level dialogue

• Partner with Corporate Security on SaaS hardening, third-party app governance, and compliance controls

• Own platform configuration as code , auditable, repeatable, and version-controlled

You may be a good fit if you

• Have 8+ years building secure IT systems in complex environments

• Excel at solving ambiguous problems with multiple stakeholders

• Communicate technical concepts clearly to any audience

• View IT Engineering as requiring product engineering rigor

• Successfully deliver complex projects from conception to production

• Write clear documentation as a natural part of your workflow

• Have deep, hands-on experience with enterprise administration of Google Workspace and Slack

• Have built integrations against SaaS APIs, not just configured through consoles

• Have been the final escalation tier

Strong candidates may also

• Have transformed traditional IT operations into engineering-driven organisations

• Have built strong partnerships with Security and Engineering teams

• Practice modern development methods (code reviews, testing, CI/CD)

• Work effectively in distributed teams

• Have experience with Infrastructure as Code approaches to SaaS configuration

• Have designed data governance or access controls for collaboration platforms

• Have experience with SCIM provisioning and SSO federation from the application side

• Have participated in M&A initiatives and led post-acquisition tenant consolidation , merging collaboration platforms, reconciling identity, migrating data

Technical Skills

Deep, hands-on experience with:

• Programming against SaaS APIs and SaaS API integrations

• Google Workspace administration

• Slack administration and APIs

• Identity protocols (SAML, OAuth, OIDC, SCIM)

• Enterprise collaboration platform architecture

• Security and compliance frameworks

Salary

The annual compensation range for this role is $275,000-$325,000 USD.

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As a kernel generalist, you will be responsible for debugging kernel-level issues, analysing and fixing crashes, panics, dumps, and upstreaming fixes and features that improve the performance and reliability of our stack.

This position is ideal for someone who thrives in low-level systems engineering, and understands how modern workloads stress kernels, and is excited to work across a diverse hardware/software ecosystem including CPUs, GPUs, DPUs, networking, and storage.

Kernel Hardware - Acceleration - Virtualization - Operating Systems - Containerization - Kubelet

Our Team's Stack:

• Python, Go, bash/sh, C

• Prometheus, Victoria Metrics, Grafana

• Linux Kernel (custom build), Ubuntu

• Intel/AMD/ARM CPUs, Nvidia GPUs, DPUs, Infiniband and Ethernet NICs

• Docker, kubernetes (k8s), KubeVirt, containerd, kubelet

Focus Areas:

• Kernel Debugging – Analyse kernel crashes, oopses, panics, and dumps to identify root causes and propose fixes.

• Upstream Contributions – Develop patches for the Linux kernel and upstream them where applicable (networking, storage, virtualization, GPU/DPU enablement).

• Stack-Wide Support – Ensure kernel support and stability across:

• Virtualization (KubeVirt, QEMU, vFIO)

• Container runtimes (containerd, nydus, kubelet)

• HPC/AI workloads (CUDA, GPUDirect, RoCE/InfiniBand)

• Kernel-Hardware Enablement – Support new hardware bring-up across Intel, AMD, ARM CPUs, NVIDIA GPUs, DPUs, and NICs.

• Performance & Stability – Tune kernel subsystems for latency, throughput, and scalability in distributed HPC/AI clusters.

About the role:

• Triage and fix kernel crashes and performance regressions.

• Develop, test, and upstream kernel patches relevant to CoreWeave’s hardware/software environment.

• Collaborate with hardware vendors and the Linux community on feature enablement.

• Implement diagnostics and tooling for kernel-level observability.

• Work closely with HPC and Fleet teams to ensure kernel readiness for production workloads.

• Provide kernel-level expertise during incident response and root-cause investigations.

Who You Are:

• 5+ years of professional experience in Linux kernel engineering or systems-level development.

• Deep understanding of kernel internals (memory management, scheduling, networking, storage, drivers).

• Experience debugging kernel crashes, dumps, and panics using tools like crash, gdb, kdump.

• Strong C programming skills with the ability to write maintainable and upstream-quality code.

• Experience working with kernel modules, drivers, and subsystems.

• Strong problem-solving abilities with a “full-stack” systems perspective.

Preferred:

• Contributions to the Linux kernel or related open-source projects.

• Familiarity with virtualization (KVM, QEMU, VFIO) and container runtimes.

• Networking stack expertise (InfiniBand, RoCE, TCP/IP performance tuning).

• GPU/DPU bring-up and driver experience.

• Experience in HPC or large-scale distributed systems.

• Familiarity with QA/QE best practices

• Experience working in Cloud environments

• Experience as a software engineer writing large-scale applications

• Experience with machine learning is a huge bonus

The base salary range for this role is $165,000 to $242,000. 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).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance - 100% paid for by CoreWeave

• Company-paid Life Insurance

• Voluntary supplemental life insurance

• Short and long-term disability insurance

• Flexible Spending Account

• Health Savings Account

• Tuition Reimbursement

• Ability to Participate in Employee Stock Purchase Program (ESPP)

• Mental Wellness Benefits through Spring Health

• Family-Forming support provided by Carrot

• Paid Parental Leave

• Flexible, full-service childcare support with Kinside

• 401(k) with a generous employer match

• Flexible PTO

• Catered lunch each day in our office and data center locations

• A casual work environment

• A work culture focused on innovative disruption

Our Workplace

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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