Scope of responsibilities

• System Administration: Operation and comprehensive support of CAx, PDM, and PLM software environments.
• Development: Design, development, and continuous enhancement of interfaces for integrated software systems.
• Collaboration: Facilitating effective communication between end users, project teams, 2nd-level support (key users), and internal IT organizations.
• Requirements Engineering: Defining functional and technical requirements for existing and new CAx/PDM/PLM solutions, including implementation, validation, and documentation.
• Global Support: Providing global support for AVL and coordinating assistance for international subsidiaries worldwide.
• Innovation: Actively contributing to a dedicated team, driving proactive improvements, and thinking beyond conventional boundaries.

Your profile

• Education: Completed degree in IT, Mechanical Engineering, or equivalent professional experience.
• Experience: At least three years of relevant professional experience in a similar role.
• Technical Knowledge: Solid background in PDM/PLM systems; experience with Dassault Systèmes solutions (PDM Professional or 3DEXPERIENCE) is highly preferred.
• Software Skills: Proficiency with CAD applications, specifically SolidWorks.
• Infrastructure: Solid understanding of database systems (MS SQL Server is a plus) and proficiency in Microsoft server/client environments (SCCM knowledge is an asset).
• Soft Skills: Strong analytical thinking and advanced technical problem-solving capabilities.
• Languages: Fluency in English; German language skills are considered a significant advantage.
• Mobility: Readiness to travel as required for international project coordination.

What we offer

• Group accident insurance, private medical insurance, free fruits
• Flexible working time, home office possibility (60%)
• International projects, business trips
• Travel reimbursement
• Relaxation and fitness room
• Cafe and restaurant in the office building

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Key responsibilities include:

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

Requirements include:

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

Nice to have:

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

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Key responsibilities include:

• Analysing Porsche Centre performance and maintaining key performance indicators (KPIs)
• Preparing financial analyses, reports, and management presentations
• Supporting monthly financial reporting for senior leadership
• Maintaining the Dealer Directory and Dealer Action Plans
• Assisting with dealer communications, training administration, and conference logistics
• Supporting compliance initiatives and ad-hoc business development projects
• Providing general administrative and operational support

This opportunity is ideal for students completing their studies or recent graduates looking to launch a career in business, analytics, or retail operations.

You bring:

• A completed or soon-to-be-completed diploma or bachelor's degree in Business Administration, Commerce, or Marketing
• Strong analytical skills and confidence working with data
• Advanced Microsoft Excel and PowerPoint skills
• Clear written and verbal communication skills
• The ability to manage multiple tasks independently in a professional environment
• Curiosity, initiative, and a desire to learn

Assets:

• Previous internship or co-op experience
• Interest in automotive or retail environments
• French language skills

Why Porsche?

Our culture is grounded in the Porsche excite! values,Integrity, Relationship, Excitement, Efficiency, and Leadership. As an intern, you will be treated as a valued contributor, not just a learner, and gain experience that meaningfully supports your long-term career development.

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Your tasks will include:

• Designing scalable KI architectures: developing high-performance architectures and integrating ML and GenAI models into customer environments (e.g., SAP, CRM, Microservices)
• Implementing pipelines and workflows: building scalable data and AI architectures, integrating them into existing pipelines, and developing XOps solutions
• Backend services and system integration: developing high-performance services to integrate models into productive workflows and ensuring smooth transitions between training, deployment, and application
• Deployment, monitoring, and optimization: implementing prototypes and MVPs in cloud environments, optimizing performance, and ensuring scalability and security
• Identifying use cases: analyzing business processes, recognizing potential for GenAI, and deriving technical solutions
• Project and stakeholder management: moderating workshops, closely coordinating with interdisciplinary teams, international project partners, and customers

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

• Completed studies in computer science, software engineering, data science, or a comparable field with at least 4 years of professional experience, ideally in consulting and (Gen)AI
• Passion for AI and Generative AI, scalable systems, cloud technologies, and building high-performance AI infrastructure
• Expertise in Python, ML, LLMs, RAG, cloud environments (Azure, AWS, GCP), Docker, Kubernetes, REST APIs, CI/CD
• Knowledge in software architecture, cloud-native design, MLOps, and AI security
• Your work style is characterized by self-responsibility, goal orientation, teamwork, and hands-on mentality

Before departure:

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

At MHP, you grow continuously in an innovative and supportive environment. This makes us the perfect sparring partner for your career. For both professional input and networking. We offer you:

• Appreciation. We support and appreciate colleagues as they are and celebrate our successes together
• We are always happy about creativity and new impulses
• Flexibility. Time-wise and location-wise - according to the project at home, in the office, or at the customer
• You have the opportunity to grow with us in tasks, knowledge, and responsibility

To apply, please submit your application as soon as possible. Simply online through our Job Locator. There, you can send your application documents, such as resume, certificates, and possibly project lists, in just a few clicks to us. A cover letter is not required.

By the way: If your application reaches us, our recruiting team checks across departments whether there is a suitable position for you. Irrespective of current job postings, we try to find the right job for you at MHP.

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Gather, analyse, and document business requirements for Salesforce Automotive Cloud solutions supporting dealer, sales, and customer lifecycle processes.

Translate business needs into clear functional specifications, user stories, and acceptance criteria.

Collaborate with developers, architects, and product owners to design scalable Automotive Cloud solutions.

Analyse and optimise business processes related to vehicle sales, dealer management, and customer engagement.

Support testing activities, including functional testing and User Acceptance Testing (UAT) coordination.

Contribute to Salesforce configuration activities, including Flows and process automation.

Support data analysis, reporting requirements, and customer and vehicle data management within Salesforce.

Maintain clear documentation of requirements, processes, and implemented solutions.

Qualifications

Must-haves

Proven experience as a Salesforce Business Analyst in CRM or digital transformation projects.

Strong experience in requirements engineering, including requirements gathering, documentation, and analysis.

Hands-on experience with Salesforce configuration, including objects, fields, validation rules, and basic administration.

Experience building and maintaining Salesforce Flows for business process automation.

Knowledge of Salesforce Automotive Cloud or strong experience with Sales Cloud and/or Service Cloud.

Experience translating business requirements into user stories and functional specifications.

Experience working in Agile environments (preferably SAFe).

Strong stakeholder management and workshop facilitation skills.

Experience supporting testing activities, including functional testing and UAT processes.

Good understanding of CRM data models and customer lifecycle management processes.

Nice-to-haves

Salesforce certifications (e.g., Salesforce Business Analyst, Salesforce Administrator, Sales Cloud or Service Cloud Consultant).

Experience with Automotive Cloud data models, including vehicle, driver, dealer, and service lifecycle objects.

Familiarity with Salesforce integrations and APIs.

Experience in the automotive industry or within OEM/dealer network environments.

Benefits

• Full-time position with 40 hours of work per week.
• 27 vacation days.
• Unlimited employment contract.
• Flexible working hours.
• Opportunity to work in a dynamic and innovative environment.

How to Apply

If you are interested in this opportunity, please submit your application through our website.

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Key responsibilities will include:

• Leading the planning, execution, and monitoring of ITGC and ITAC for annual SOX compliance activities.
• Acting as the primary liaison between AHM IT GRC, CT IT, internal auditors, and external auditors for ITGC and ITAC Testing.
• Maintaining Risk Control Matrices (RCMS), data flow diagrams, and control documentation.
• Collaborating on technology projects to ensure SOX compliance requirements are integrated.
• Providing guidance and training to CH IT and AHFC Management on SOX requirements and control expectations.

'\n To be successful in this role, you will need:

• A minimum of 8-10 years of experience in IT Audit, IT compliance, or IT risk management.
• Strong understanding of SOX, ITGCs, and frameworks such as COBIT, COSO, NIST.
• Experience working with ERP Systems.
• Experience in a public company or Big 4 audit environment.
• Experience as a technical SME for IT controls.

'\n In addition to the above requirements, you will also need to possess excellent communication and stakeholder management skills, as well as the ability to interpret technical concepts and translate them into control requirements.

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Research and vehicle development testing for ride, handling, steering, braking, fuels, stability control, and/or all-wheel drive. Primary owner for high value vehicle dynamics test equipment and test execution, ensuring safe, accurate, and efficient delivery of vehicle dynamics data to support development, validation, and research activities.

Key Accountabilities

• Operate, maintain, and technically steward specialized vehicle dynamics test equipment, ensuring readiness, reliability, and data integrity across all assigned testing.
• Plan, execute, and support vehicle dynamics tests in coordination with multiple groups.
• Serve as technical point of contact for equipment capability, limitations, troubleshooting, and continuous improvement.
• Train, mentor, and develop backup operators or technical support personnel to ensure continuity of critical capabilities.
• Support cross functional initiatives, process improvements, and documentation related to test execution, safety, and equipment stewardship.

Qualifications, Experience, and Skills

• Bachelor’s Degree in Automotive Technology, Engineering Technology, or related technical field or equivalent experience.
• 0-6 years of hands-on experience in vehicle dynamics testing, specialized test equipment operation, or automotive test environments.
• Technical knowledge of vehicle dynamics test systems and instrumentation.
• Ability to diagnose, troubleshoot, and resolve complex mechanical, electrical or system-level issues.
• Effective communication skills for working with engineers, technicians, and management.
• Proficiency with standard documentation and reporting tools (Excel, PowerPoint).

Working Conditions

• Work is performed in a combination of vehicle test facilities, laboratories, and office environments.
• Position requires ability to work around vehicles and specialized test equipment and to perform basic physical activities consistent with test operations.
• Occasional overtime or off-shift work may be required to support testing or equipment readiness.
• Occasional travel required.

What differentiates Honda and make us an employer of choice?

Total Rewards:

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

Career Growth:

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

Additional Offerings:

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

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Key responsibilities include:

• Data-driven problem solving: Conduct weekly analyses of users that don't meet our 5-minute onboarding promise, identify root causes, and reduce inefficiencies to keep that figure below 4%.
• Clear communication: Ensure users in onboarding always know what is expected of them, what they need to do next, and receive a clear timeline for their account verification.
• Policy optimisation: Conduct quarterly reviews of SBI codes, risk labels, and acceptance policies to remove unnecessary blockers while maintaining compliance
• Leverage APIs: Use service providers where possible to directly collect and verify user data, boosting 5-minute onboarding

Requirements include:

• Deep expertise in KYB processes, with familiarity in EDD and CDD across EU markets.
• Proven ability to deliver seamless UX for onboarding journeys, ideally with product-facing experience.
• Strong analytical and research skills that allow you to turn raw data into actionable business insights.
• The ability to plan, organize, and execute complex improvements to onboarding mechanisms while driving real results.
• Prior experience optimizing policies and working in regulated environments.
• Excellent knowledge of various risk profiles and acceptance standards, including risk-labeling frameworks and decision paths.
• Strong communication skills and a user-centric approach to problem-solving,always keeping Eva (our user) at the heart of every decision.

In return, we offer a competitive salary, excellent benefits, and the opportunity to work with a talented team of professionals.

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As a Systematic Production Support Engineer, you will be responsible for building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations. You will work closely with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions, as well as automated systems and processes focused on trading and operations.

Key responsibilities include:

• Building, developing, and maintaining a reliable, scalable, and integrated platform for trading strategy monitoring, reporting, and operations
• Working with portfolio managers and other internal customers to reduce operational risk through the implementation of monitoring, reporting, and trade workflow solutions
• Implementing automated systems and processes focused on trading and operations
• Streamlining development and deployment processes

Technical qualifications include:

• 5+ years of development experience in Python
• Experience working in a Linux/Unix environment
• Experience working with PostgreSQL or other relational databases

Preferred skills and experience include:

• Understanding of NLP, supervised/non-supervised learning, and Generative AI models
• Experience operating and monitoring low-latency trading environments
• Familiarity with quantitative finance and electronic trading concepts
• Familiarity with financial data
• Broad understanding of equities, futures, FX, or other financial instruments
• Experience designing and developing distributed systems with a focus on backend development in C/C++, Java, Scala, Go, or C#
• Experience with Apache/Confluent Kafka
• Experience automating SDLC pipelines (e.g., Jenkins, TeamCity, or AWS CodePipeline)
• Experience with containerization and orchestration technologies
• Experience building and deploying systems that utilize services provided by AWS, GCP, or Azure
• Contributions to open-source projects

This is a unique opportunity to drive significant value creation for one of the world's leading investment managers.

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

Key responsibilities include:

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

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

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

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

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

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

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

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

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

Principal Responsibilities

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

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

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

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

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

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

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

Qualifications & Skills

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

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

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

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

• Experience with distributed caching and replication technologies.

• Solid knowledge of Unix/Linux environments is required.

• Experience with Agile/Scrum development methodologies is required.

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

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

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

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

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

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

• Proven ability to write clear, concise documentation.

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

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

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

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

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

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Your key responsibilities will include:

• Applying your knowledge and expertise to build, establish and optimise product supply chains throughout the lifecycle for a portfolio of products within a Therapy Area.
• Providing product/brand leadership to other senior managers within the Operations and representing Operations and product supply on AstraZeneca's Global Product Teams and in other senior product stakeholder forums.
• Optimising performance of current supply chains including using lean methodologies to improve supply chain lead time.
• Having accountability for improving your product Cost Of Goods throughout the lifecycle.
• Working across the Global Supply group to deliver end-to-end Supply Chain operational performance KPIs and support initiatives to optimise inventory.
• Owning and managing the product business continuity plans for your brands and ensuring a constant state of readiness to ensure product supply.
• Leading and advising a matrixed team to complete the brand strategy and seamless key supply chain changes.
• Delivering successful, seamless, timely new product launches to parameters agreed with our Oncology and Biopharma Business Units.
• Directing, managing and representing multi-region supply issue resolution to successful conclusion, including demand allocation.

You will be expected to work closely with cross-functional teams to drive business results and make strategic decisions to drive business growth.

If you are a motivated and experienced professional with a passion for supply chain management, we encourage you to apply for this exciting opportunity.

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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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This position leads the medical strategy for assigned oncology indication(s)/asset(s), driving launch excellence, shaping evidence generation, and building confidence in our science across the globe.

Acting as the key bridge between R&D and Commercial, this role steers the Global Medical Plan, orchestrates global launch readiness, and ensures that every decision is grounded in robust data and patient impact.

Ready to influence how new oncology medicines are understood, adopted, and scaled across diverse healthcare systems?

Accountabilities

• Provide strategic medical leadership for assigned indication(s)/asset(s), owning the Global Medical Plan and leading launch strategy from early planning through post-launch optimisation.

• Set clear strategic direction, prioritise initiatives, and make evidence-based trade-offs to maximise patient outcomes and business impact, adapting plans in response to external dynamics and performance against launch KPIs.

• Define, track, and interpret medical Key Performance Indicators to assess strategy impact, identify progress, and diagnose barriers to launch success.

• Represent Global Medical on key cross-functional forums such as the Integrated Business Team and Global Product Team, shaping commercial strategy, informing R&D development and lifecycle planning, and ensuring Medical input into clinical development and commercialisation strategies.

• Lead Medical Integrated Teams to align global, regional, and country medical teams around launch strategy and execution, acting as a medical decision-maker and ambassador in market engagements.

• Influence clinical development by identifying registrational evidence gaps, companion study needs, and Target Product Profile implications, ensuring Medical perspectives shape Tumor Strategic Plans and Business Strategy Plans.

• Strengthen global medical capabilities through effective delegation, coaching, empowerment, and mentorship, building high-performing teams focused on launch excellence.

• Lead global and regional evidence gap analyses to define critical clinical, real-world, and mechanistic evidence needs, and develop integrated evidence plans across clinical, diagnostic, digital, and real-world sources.

• Shape the scientific and strategic design of AZ-sponsorised interventional Medical Affairs studies, conceptualise real-world evidence studies with partners, and oversee governance, milestones, and resources to deliver to the highest scientific, ethical, and compliance standards.

• Own the Global Publications Plan from Phase 3 ID onwards in partnership with publications teams, ensuring compelling, credible scientific communications and appropriate review of local/regional medical studies and Externally Sponsored Research.

• Embed innovative approaches to evidence generation aligned with the MARS vision, leveraging cancer networks, novel study designs, and data-driven insights.

• Own and lead the scientific narrative from pre-Phase 3 ID onwards, ensuring consistency across evidence, publications, congresses, and education while driving an Integrated Confidence Plan executed by Centres of Excellence.

• Define global medical education priorities, identify key audiences and learning objectives, guide delivery formats (digital, hybrid, in-person), and ensure scientific rigor in all educational activities.

• Lead the external engagement strategy for indication(s)/asset(s), including KEEs, societies, health systems, and global organisations; gather insights that shape scientific practice and actively influence external experts to advance health outcomes and accelerate guideline adoption.

• Lead congress strategy end-to-end: drive pre-congress planning (abstracts, presentations, training), guide on-site scientific presence, and oversee post-congress insight synthesis, dissemination, and follow-up actions.

Essential Skills/Experience

• Advanced degree required (MD, PhD, PharmD, in any related field)

• At least three years of experience within the pharmaceutical or biotech industry, ideally at the country, Region and global level.

• Demonstrated success in leading evidence generation strategies, Medical Plans, publications, or scientific communication programs.

• Proven ability to influence senior stakeholders across Commercial, R&D, and Medical Affairs.

• Experience engaging external experts and scientific communities.

Desirable Skills/Experience

• Previous global Medical Affairs leadership experience in oncology.

• Experience leading cross-functional teams in highly complex, multi-indication environments.

• Experience navigating launch environments, new MoAs, new CDx, complex biomarker landscapes, or challenging safety profiles (aligning to GMAL complexity criteria).

Benefits

AstraZeneca offers an environment where scientific curiosity meets real-world impact: a global biopharmaceutical company tackling serious disease while constantly searching for new ways to solve complex healthcare and sustainability challenges.

Teams reflect the diversity of the communities we serve; different perspectives are encouraged, collaboration is expected, and questioning minds are supported to push boundaries.

With strong investment in learning, data and digital innovation, and cross-functional partnerships inside and outside the organisation, people are empowered to take smart risks, learn fast from experience, and contribute directly to life-changing medicines for patients worldwide.

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.

We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.

We follow all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

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In this pivotal role, you'll serve as the primary liaison between the platform engineering team and our developer community , including quantitative analysts, researchers, and front-office trading teams , ensuring the platform meets their complex development needs and continuously improves.

The Developer Platform team architects, engineers, and enhances the firm's developer’s toolchain and workflow. We collaborate closely with developers, quants, researchers, and front-office trading teams to ensure our platform provides a best-in-class development experience with the feel of native Mac/UNIX-like development.

This role sits at the intersection of product management and technical enablement, acting as the voice of the developer within the platform team.

Key Responsibilities:

• Build and maintain relationships with technologists and developers across the firm to deeply understand their workflows, pain points, and emerging needs

• Discover novel use cases and translate them into actionable product requirements for the platform engineering team

• Serve as the first point of contact for developer questions about the platform's environment, tooling, and capabilities

• Triage and reproduce issues reported by developers, driving initial diagnosis , including leveraging AI-assisted sessions for problem analysis , and escalating to the deeper technical engineering team when necessary

• Drive the roadmap and prioritization of platform enhancements in collaboration with engineering leadership

• Promote and evangelize the Linux developer platform , driving adoption and ensuring developers are aware of available features and best practices

• Manage project timelines, stakeholder communication, and delivery milestones for platform initiatives

Qualifications / Skills Required:

• Demonstrated experience in Technical Product Management, Technical Project Management, or Developer Relations/Developer Experience roles

• Strong communication and stakeholder management skills , ability to engage credibly with both highly technical developers and senior leadership

• Working familiarity with Linux desktop environments , comfortable navigating the platform, understanding developer workflows, and answering environment/tooling questions

• Conceptual understanding of containerization and orchestration (Docker, Podman, Kubernetes) and how developers leverage these tools in their workflows

• Familiarity with CI/CD concepts and tools (e.g., Jenkins, Git) , enough to understand developer pipelines and identify friction points

• Problem reproduction and triage skills , ability to recreate reported issues in the environment and clearly document/escalate to engineering with relevant context

• Experience leveraging AI tools (e.g., LLM-based assistants, copilots) to assist in problem diagnosis, research, and knowledge synthesis

• Basic scripting literacy (Bash, Python) , enough to read, understand, and run existing scripts; not necessarily write complex automation from scratch

Qualifications / Skills Desired:

• Familiarity with serverless compute concepts and cloud-native development paradigms

• Exposure to configuration management tools (e.g., Ansible) and image lifecycle management (e.g., Hashicorp Packer) , understanding what they do and how they fit into the platform, rather than hands-on administration

• Awareness of monitoring and observability tools (Prometheus, Grafana, ELK stack) from a user/consumer perspective

• Understanding of authentication and identity management concepts (e.g., Active Directory integration) as they relate to developer access and workflows

• Experience with agile project management methodologies and tools (Jira, Confluence, or similar)

• Strong communication skills working with engineering leadership, developer community, and stakeholders

• Bachelor’s degree in Computer Science or a related field

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

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

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

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

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

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The SAM will function as a value creator, identifying opportunities to enhance account impact, drive change, build competitive immunity, and ensure customer success. They will lead, coordinate, and implement both local and national resources to meet key customer needs and strengthen the Bayer partnership. As a mentor and coach to the squad, the SAM will provide guidance on customer engagement strategy, account planning, and internal collaboration.

The SAM will ensure account strategies are co-created and activated with cross-functional partners,including clinical specialists, CT Sales Consultants (CTSCs), MR Sales Consultants (MRSCs), medical science liaisons (MSLs), service, and software teams,to deliver cohesive and impactful customer engagement. The coverage will be major hospital systems in Minnesota and Wisconsin, including Allina Health, Aspirus, Essentia Health, Fairview Health Services, Froedtert Heath, ThedaCare, and University of Wisconsin Health.

Travel is up to 50% within the territory. The position is residence-based, and the ideal candidate would live in the Minneapolis metro area.

Key Responsibilities:

• Develop strategic long-term business partnerships with top-tier accounts within the region while continually increasing sphere of influence across stakeholders and decision-makers.

• Oversee contract pricing and standardization, including quoting prices and discounts, while monitoring regional pricing to ensure alignment with regional and national guidelines and financial objectives.

• Develop and execute Account Business Plans with top-tier accounts, ensuring robust engagement and cultivating long-term relationships with radiology leaders, while collaborating with imaging managers, procurement, and Value Analysis Committees.

• Own sales objectives for top-tier regional accounts, including revenue and gross margin, and contribute to overall regional sales performance.

• Lead the relationships with Radiology Leaders, Procurement, IT, Imaging Operations, and Value Analysis Committees across strategic parent and child accounts, supporting on-label discussions about Bayer products and orchestrating customers through large-scale group buying processes.

• Coordinate activation of necessary field team resources to support business expansion in collaboration with enabling functions and squad resources across 3 Centers of Gravity.

• Leverage analytics, dashboards, and customer relationship management (CRM) to synthesize insights to inform opportunities and contribute to business reviews.

• Identify customer insights, healthcare trends, and account data to inform ongoing account strategies that drive measurable outcomes.

• Execute the defined Radiology Customer Engagement Process, ensuring all strategies and contracts are developed in compliance with Bayer policies, regulatory requirements, and ethical standards.

• Provide mentorship to squad members, including account review support, stakeholder engagement strategies, and best practices for internal navigation.

• Contribute to a 'One Team' culture under Bayer's Dynamic Shared Ownership model, ensuring seamless collaboration and role clarity.

• Demonstrate leadership according to the VACC framework (Visionary, Architect, Catalyst, Coach), empowering teams, enabling innovation, and fostering growth while driving customer and business outcomes.

Requirements:

• Bachelor's degree in business, life sciences, or related field; advanced degree preferred (MBA, MPH, or equivalent).

• Valid driver's license and clean driving record.

• Direct experience with strategic planning and implementation, medical device/pharma industry, sales leadership, market direction, budgeting, business insights, and coaching & talent development (minimum 7+ years preferred).

• Proven ability to manage complex, multi-stakeholder relationships across large integrated delivery networks (IDNs), academic medical centers (AMCs), or integrated health systems.

• Savvy in CRM tools (e.g., Salesforce), account planning frameworks, with leveraging technology as a key enabler.

• Strong understanding of healthcare system decision-making, contracting, and financial drive.

• Highly comfortable leading in matrix environments, collaborating under Dynamic Shared Ownership models and enjoys working a collaborative, team-focused approach.

• Personal strengths include communication and relationship-building skills, especially with radiology department stakeholders.

• Strong executive presence, consultative selling skills, and cross-functional collaboration abilities.

• Proven track record in developing and executing strategic account plans that deliver measurable business outcomes and executing customer engagement processes.

• Cultivates and fosters a team environment that drives personal ownership, energy, and a customer-first approach.

Preferred Qualifications:

• Deep understanding of radiology workflows, imaging technologies (computed tomography (CT), magnetic resonance (MR), picture archiving and communication system (PACS), etc.), and health system priorities.

• Experience in radiology, MedTech, or healthcare IT/software.

• Exposure to contracting, procurement, or Value Analysis Committee (VAC) processes.

• Ability to use company-generated AI tools.

• Contract lifecycle experience.

Salary Range: $125,000 - $187,000.

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Responsibilities:

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

Qualifications:

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

Nice to have:

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

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Accountabilities The Senior GMAL leads the design and execution of global product and disease area strategies, translating scientific insight and healthcare system understanding into clear, practice-changing medical plans. This includes shaping ambitious practice change initiatives that influence care pathways, market access, and treatment adoption across diverse geographies. The role is responsible for the global evidence generation strategy, from interventional trials (Phases 2–4) to real-world evidence programs, ensuring that clinical research, registries and RWE studies are aligned with brand, access and healthcare transformation objectives. It drives optimisation and communication of data across scientific platforms, ensuring differentiated evidence reaches regulators, payers and healthcare professionals in a timely and impactful way. A core responsibility is to blend advanced scientific expertise with digital skill, using digital health tools, analytics and data platforms to transform how evidence is communicated and how stakeholders are engaged. The Senior GMAL crafts compelling scientific narratives, leads digital dissemination of evidence, and safeguards accuracy, impact and compliance in all scientific communications. The role builds and sustains influential relationships across the healthcare ecosystem, including global and regional KOLs, professional societies, regulators, payers, patient organisations, digital innovators and health systems. It mobilises support for medical strategy and healthcare change initiatives, while mentoring cross-functional teams and encouraging scientific leadership and collaboration. The Senior GMAL also brings deep regulatory insight to the design of clinical trials and evidence programs, anticipating evolving regulatory and payer requirements to ensure robust, compliant data generation and communication. This includes guiding teams on regulatory expectations, shaping evidence packages for submissions and HTA processes, and ensuring that medical plans are fully integrated with commercial, access and lifecycle strategies. Throughout, the role acts with urgency, challenges the status quo, spots new opportunities in data and science, and leads teams through complex decision-making to deliver significant impact for patients worldwide.

Essential Skills/Experience

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

Desirable Skills/Experience

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

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

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

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

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This position involves active participation in the daily project and operational tasks within the CGT manufacturing facilities. Primarily focused on on-the-floor Quality Operations, the SME is responsible for enhancing the team's understanding of Cell and Gene Therapy quality requirements.

The individual in this role must possess the ability to work independently, demonstrating excellent judgment and the capability to effectively engage with a diverse range of key stakeholders.

Responsibilities:

• Fully own the Quality Operational tasks required to ensure compliant and safe execution of CGT operational activities in the CGT MOD facility.
• Oversee quality assurance processes for CGT products from development to commercial launch.
• Engage with cross-functional teams to ensure compliance with Global Processes and Regulatory standards.
• Manage risks associated with CGT product development and manufacturing, including finding risk-based and phase-appropriate solutions when issues arise.
• Foster a culture of open communication and collaboration among team members and stakeholders, with an aptitude to being able to have tough conversations when Quality decisions may not be favored across stakeholder groups.
• Provide coaching and mentorship to team members, promoting their professional growth and ensuring alignment to the Quality decisions made.
• Develop and implement strategies to improve quality assurance practices.

Quality Assurance Oversight:

• Ensure compliance with regulatory requirements (GxP, ATMP) and internal quality standards throughout the product lifecycle.
• Act as a quality advocate between development, manufacturing, supply chain, and regulatory affairs.
• Provide risk-based solutions to issues that arise to ensure compliance to phase-appropriate Quality requirements, while also ensuring the flexibility to continue with process knowledge and development.
• Implement advanced risk management strategies, including conducting investigations (e.g., FMEA) and managing risk profiles associated with CGT products.
• Identify and mitigate potential risks related to quality assurance processes.
• Implement global CGT program elements into local procedures to ensure compliance to CGT program expectations.
• Analyze past performance to prevent recurrence of issues and improve future outcomes.
• Promote a culture of continuous learning and improvement within the quality assurance team.
• Engage directly in daily quality assurance activities and provide hands-on support to team members as needed.
• Maintain a practical mindset when addressing unforeseen problems and developing solutions.

Regulatory Knowledge and Support:

• Ensure all documentation and processes are aligned with regulatory standards and best practices.
• Collaborate with Regulatory stakeholders to support the Regulatory filing and documentation needs.

Communication and Collaboration:

• Actively participate as the Quality point of contact for projects by ensuring timely completion of tasks and deliverables.
• Coordinate cross-functional teams to address quality-related challenges and ensure alignment with project goals.
• Ensure timely communication of project milestone deliverables when at risk.
• Foster open communication and collaboration among team members and stakeholders, encouraging discussion and input during meetings.
• Communicate effectively with regulatory agencies and internal teams to ensure clarity on quality expectations.

Requirements:

• Experience with CGT Products: Trackable experience in CGT Quality Assurance and familiarity with manufacturing processes and release criteria for CGT products.
• Practical Mindset in ATMP Advancement: The candidate should have a hands-on approach to advancing Advanced Therapy Medicinal Products (ATMPs) with a focus on practical solutions.
• Project Management Skills: Strong project management capabilities to handle both tactical and strategic elements of the role.
• Flexibility and Agility: The ability to adapt to changing environments and pivot strategies as necessary.

Preferred Qualifications:

• Degree in Life Sciences, Engineering, or a related field is preferred.
• Advanced degrees (Master's or PhD).
• Proven track record in Quality Assurance specifically within Cell and Gene Therapy (CGT) or Advanced Therapy Medicinal Products (ATMP).
• Experience with both late-stage development and marketed CGT products.
• Strong background in Quality Management Systems (QMS) and experience with quality audits.
• Knowledge of critical quality attributes and process parameters relevant to CGT products.
• Experience with advanced risk management techniques, including FMEA (Failure Mode and Effects Analysis).
• Ability to manage risk effectively throughout the product lifecycle.
• Experience in managing timelines and deliverables related to quality assurance.
• Excellent verbal and written communication skills to interact with various stakeholders, including regulatory agencies.
• Ability to communicate complex information clearly and effectively across different teams and cultures.
• Strong interpersonal skills to foster collaboration and act as a quality advocate among development, manufacturing, and regulatory teams.
• Ability to build relationships and work cross-functionally within an organization.
• Ability to adapt to changing regulatory and operational environments.
• Flexibility in adjusting strategies and approaches based on evolving needs and priorities.

This is an Onsite position at our site in Berkeley, CA. Employees can expect to be paid a salary between $123,760.00 - $185,640.00. Additional compensation may include a bonus or commission (if relevant). Additional benefits include healthcare, vision, dental, retirement, PTO, sick leave, etc.

This salary range is merely an estimate and may vary based on an applicant’s location, market data/ranges, skills, prior relevant experience, certain degrees and certifications, and other relevant factors.

This posting will be available for application until at least 04/23/2026.

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At AstraZeneca, we turn ideas into life-changing medicines. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality.

The Regional Business Sales Leader, Advanced Specialty Care, serves as a first-line sales leader within the CVRM Sales organization, reporting directly to the Area Director, Advanced Specialty Care. This role is responsible for the overall performance of the assigned region (Texas, Louisiana, Alabama, and Mississippi and their surrounding areas) by providing inspirational leadership, creating a motivational environment, removing barriers, developing the team, and setting clear expectations for success in line with AstraZeneca values to a team of 8.

Main Duties and Responsibilities

Responsible for the overall performance of the assigned region by providing leadership that creates a motivational environment and sets expectations for success. Review, modify, and approve strategically targeted account-specific business plans developed by sales representatives, ensuring alignment with brand strategy and regional priorities.

Conduct ride-a-longs and one-on-one coaching focused on advanced specialty product knowledge, disease state understanding, call planning, territory management, and effective engagement within complex account structures.

Provide in-person, documented field coaching and observation to strengthen clinical acumen, selling capability, account ownership, and expansion across specialty and rare disease settings.

Proactively guide teams through complex market access, reimbursement pathways, and buy-and-bill dynamics, fostering strong collaboration with specialty pharmacies, health systems, and multidisciplinary care teams.

Collaborate with home office and cross-functional partners to support marketing strategy execution, targeting optimization, incentive initiatives, and sales training aligned to advanced specialty portfolio needs.

Lead through ambiguity and complexity, operating independently while navigating evolving market dynamics, access challenges, and organizational priorities.

Build and sustain a high-performing, inclusive team by setting clear direction, fostering professional development, driving accountability, and cultivating innovation and open communication.

Demonstrate a growth mindset by leveraging market insights, customer feedback, and relevant technology to drive innovative sales strategies and sustainable business growth.

Minimum Requirements

• Bachelor's degree with 8+ or more years of biopharmaceutical/healthcare experience
• 5 years or more in First Line People Leadership
• Proven track record of team development including hiring, training, and performance management
• Experience leading teams in complex specialty or advanced therapy environments, including hospital systems and integrated delivery networks
• Strong business and analytical foresight to navigate market access, reimbursement, and competitive dynamics
• Ability to coach teams through complex account ecosystems while maintaining patient-centric execution
• Willingness to travel approximately 60% of the time
• Strong communication skills with high integrity, resilience, and adaptability
• Valid driver's license and safe driving record

Preferred Requirements

• Therapeutic experience in Cardiovascular, Rare Disease, or other highly specialized areas
• Advanced or Master's degree
• Established Key Opinion Leader (KOL) relationships
• Proven experience leading teams across specialty pharmacy, buy-and-bill, and non-retail distribution models
• Proven ability to drive growth through cross-functional collaboration and ecosystem partnership
• Experience enabling teams to execute across multiple selling channels and complex reimbursement models
• Strong capability to translate clinical data and market trends into actionable regional strategy

Pay Transparency

The annual base pay for this position could range from $225,000–$280,000 USD Annual. Hourly and salaried non-exempt employees will also be paid overtime pay when working qualifying overtime hours. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.

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

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

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

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

Why AstraZeneca?

At AstraZeneca, we seize opportunities to make meaningful change. Delivering life-changing medicines requires entrepreneurial thinking and collaboration. Join us as we push the boundaries of science and redefine what a biopharmaceutical company can achieve.

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

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

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

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

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

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

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

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

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

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

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

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

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Your primary responsibilities will be to:

• Guide the development of highly connected data systems that enable data-driven, model-based analytics to improve pipeline effectiveness and efficiency;
• Work with multifunctional teams to enable data connectivity across the editing pipeline, integrating information from lab, greenhouse, and field operations;
• Collaborate with partner teams across Crop Science (Gene Editing, IT Enterprise, Data and Engineering) to automate decision making and improve operational efficiency to accelerate development of gene-edited products;
• Serve as a key communicator translating business data knowledge and operational workflows into clear technical implementation plans for data scientists, data engineers, and developers;
• Demonstrate autonomy in building relationships and networks within your unit and across functions, most often with members of the Crop Genome Editing team and closely aligned partner teams;
• Act as a consultant to leadership and colleagues on digital strategy and data-driven operations through clear, organized, and influential communication;
• Actively build your own acumen in biology, genome design, and digital operations while sharing best practices and learnings with the broader Biology and Genome Design community.

We seek an incumbent who possesses the following qualifications:

• PhD in Computational Biology, Computer Science and Engineering, or another relevant scientific field with a minimum of 6 years of relevant experience, or MS with 10+ years of relevant experience;
• Demonstrated track record developing data systems and pipelines that enable efficient product delivery and operational modeling;
• Demonstrated experience working collaboratively in cross-functional and cross-cultural teams to achieve common goals;
• Demonstrated experience leading and influencing activities of cross-functional teams without direct reporting relationships;
• Ability to lead and influence key stakeholders through challenges and opportunities and to facilitate solutions.

Preferred qualifications include experience building data pipelines as a ML DevOps Engineer or Data Engineer, experience with Operations Research, and experience analyzing large biological datasets and developing analytical pipelines using Python, R, or similar software and languages.

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As a Senior Backend Engineer, you will own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment. You will build scalable services and pipelines that support agent workflows, architect modular, reusable backend systems, and operate in high-ambiguity environments.

Key responsibilities include:

• Designing and building scalable systems while partnering closely with research, product, operations, and other engineering teams
• Building scalable services and pipelines that support agent workflows
• Architecting modular, reusable backend systems that adapt to evolving product needs
• Operating in high-ambiguity environments and breaking down open-ended problems
• Partnering cross-functionally with product, research/ML, and infrastructure teams

Ideal experience includes 5+ years of full-time software engineering experience, strong backend engineering fundamentals, and experience building systems that scale.

Compensation packages at Scale include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors.

Additional benefits include 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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As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, defining the research roadmap and driving execution from early prototyping to deployment. You'll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.

Key responsibilities include:

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

Ideal candidates will have:

• 5+ years of hands-on research experience in machine learning, deep learning, generative models, agent/RL systems, or related domains
• A strong track record of research excellence, including publications in top-tier ML/AI venues
• Experience leading or managing research teams, mentoring, coaching, and developing talent
• Excellent written and verbal communication skills, articulating research ideas and outcomes to technical and non-technical stakeholders

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This is a product engineering role first and foremost. You'll work closely with designers and product managers to bring features from concept to shipped experience, obsessing over the details that make the difference: how something feels when you first land on it, how smoothly a new interaction flows, how an interface holds up under real-world use.

The pace is fast, the product is evolving quickly, and the opportunity to have a visible, direct impact on how millions of people use AI is real. If you love building consumer products and care about getting the details right, this could be a great fit.

Responsibilities:

• Build and ship user-facing features for claude.ai's web experience, working closely with designers to bring detailed, polished interactions to life

• Translate design intent into high-quality implementations , paying close attention to accessibility and the small details that add up to a great product feel

• Build responsive applications that work well across devices and screen sizes, and actively care about the performance characteristics that shape how the product feels to use , latency, responsiveness, and reliability are first-class concerns, not afterthoughts

• Collaborate tightly with product managers to understand user needs, shape feature scope, and make informed tradeoffs as you build

• Iterate quickly based on user feedback and internal testing, improving the experience on a continuous basis

• Work with the UI Platform team to consume shared components and tooling effectively, and flag gaps or pain points that would help the broader team move faster

• Help maintain a high bar for code quality and consistency within the consumer product codebase

You may be a good fit if you:

• Have 5+ years of experience building consumer-facing web products, with a strong emphasis on UI quality and user experience

• Are proficient in React, Next.js, and TypeScript, and have experience with Node.js on the backend side of the stack

• Genuinely care about the user experience , not just how something looks, but how fast it loads, how reliably it works, and how it feels across devices. You think about latency and responsiveness the same way you think about design

• Collaborate well with designers and product managers, and enjoy the iterative process of turning a design into something that works beautifully in the browser

• Are comfortable working in a fast-moving environment where priorities shift and shipping quickly matters

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

Strong candidates may also have experience with:

• Accessibility best practices and building inclusive user interfaces

• Performance optimization for consumer web apps , profiling, reducing bundle size, improving rendering performance, and understanding where latency comes from end-to-end

• Designing and implementing responsive layouts that work well across screen sizes and devices

• Working on products with real-time or streaming interactions (chat interfaces, live updates, etc.)

• User research or usability testing, or a track record of incorporating user feedback into product decisions

• Working on AI/ML products or in fast-moving consumer product environments

Candidates need not have:

• 100% of the skills needed to perform the job

• Formal certifications or education credentials

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

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

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

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Your responsibilities will include:

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

Ideally, you have:

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

Nice to have:

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

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In this role, you will:

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

Ideally, you'd have:

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

Nice to Haves:

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

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

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Your mission is threefold:

• Frontier Research & Publication: Leading research into LLM/agent capabilities, reasoning, and safety, with the goal of publishing at top-tier venues (NeurIPS, ICML, ICLR).
• Cross-Org Impact: Developing generalised techniques in Agent design, AI Safety and Deep Research agents that scale across our commercial and government platforms.
• Mission-Critical Applications: Engineering high-stakes AI systems that impact millions of citizens globally.

You will:

• Pioneer Novel Architectures: Design and train state-of-the-art models and agents, moving beyond “off-the-shelf” solutions to create custom architectures for complex public sector reasoning tasks.
• Lead AI Safety Initiatives: Research and implement robust safety frameworks, including red teaming, alignment (RLHF/DPO), and bias mitigation strategies essential for sovereign AI.
• Drive Deep Research Capabilities: Develop agents capable of long-horizon reasoning and autonomous information synthesis to solve complex problems for national security and public policy.
• Publish and Contribute: Represent Scale in the broader research community by publishing high-impact papers and contributing to open-source breakthroughs.
• Consult as a Subject Matter Expert: Act as a technical authority for public sector leaders, advising on the theoretical limits and safety requirements of emerging AI.
• Build Evaluation Frontiers: Create new benchmarks and evaluation protocols that define what success looks like for high-stakes, non-commercial AI applications.

Ideally, you’d have:

• Advanced Degree: PhD or Master’s in Computer Science, Mathematics, or a related field with a focus on Deep Learning.
• Research Track Record: A portfolio of first-author publications at major conferences (NeurIPS, ICML, CVPR, EMNLP, etc.).
• Engineering Rigour: Strong proficiency in Python, deep learning frameworks (PyTorch/JAX), with the ability to write production-ready code that scales.
• Safety Expertise: Experience in alignment, robustness, or interpretability research.

Nice to haves:

• Experience with large-scale distributed training on massive clusters.
• Experience in building agentic systems that are reliable.
• Experience in Sovereign AI or working with highly regulated data environments.
• A zero-to-one mindset: Comfortable navigating ambiguity and defining research directions from scratch.

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

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

Key responsibilities include:

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

Core qualifications include:

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

Nice-to-have qualifications include:

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

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

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

Key Responsibilities:

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

Requirements:

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

Preferred Qualifications:

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

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

Work Environment:

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

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

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

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

Responsibilities

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

Requirements

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

$190,000-$270,000 USD

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Your primary responsibilities will include implementing end-to-end data integrations, syncing customer's data to Scale's platform and back, and working closely with our customer's engineering teams to optimize data pipelines. You will also design, develop and maintain playbooks, internal tools, Scale's documentation and SDKs to quickly get customers set up for long-term success.

In addition, you will partner with Software Engineers and Operations to remove any technical hurdles customers may face, debug technical issues impacting delivery and own technical escalations coming from the customer. You will be accountable for the customer's technical experience throughout their time with Scale.

The ideal candidate will have a track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way. Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals is also required.

We offer a competitive compensation package, including base salary, equity, and benefits. The base salary range for this full-time position is $190,000-$290,000 USD in San Francisco, New York, and Seattle, $170,000-$260,000 USD in Hawaii, Washington DC, Texas, and Colorado, and $140,000-$220,000 USD in St. Louis.

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You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes. This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion.

You will champion our mission in the field, ensure world-class delivery, and bring insights back to our product and research teams on a regular basis. You'll own engagements end-to-end, from SOW through production deployment.

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

You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to represent Anthropic to high-level executives in high-stakes environments.

Responsibilities:

• Manage the technical delivery plan for each engagement.
• Structure the SOW by clearly defining the scope, steps, dependencies, success criteria, and value hypotheses.
• Translate customer commercial objectives into a sequenced roadmap that our FDEs execute.
• Supervise technical discovery: map customer workflows, identify constraints, define the MVP, and shape the solution architecture for custom agent deployments.
• Lead the execution and delivery of daily engineering work within Anthropic and customer teams. Ensure project progress is smooth and sequenced. Make real-time trade-offs on scope and priority to preserve the critical path.
• Ensure product scope for field missions: define the MVP, write requirements documentation, prioritise the engineering backlog, and manage scope against success criteria as requirements evolve. Manage the кури relationship throughout delivery. Organise executive briefings, manage communications with stakeholders regarding technical leads and supply, and represent Anthropic to high-level commercial and technical executives in terms of technical credibility.
• Measure value and ROI: define impact hypotheses, establish baselines and key performance indicators, conduct pre- and post-deployment measurements, and communicate results to executive sponsors.
• Codify reusable solution patterns, evaluation frameworks, and technical manuals.
• Record best practices from various interactions and transmit signals from the field to Product and Research teams to improve our platform and models.
• Navigate enterprise and regulatory complexity: security audits, legal approvals, procurement processes, compliance requirements, and organisational dynamics.
• Manage scope and change: manage evolving requirements, define expectations, negotiate contract modifications, identify risks upfront, and signal them with clear context, as needed.
• Manage delivery operations: sprint ceremonies, review milestones, and progress reports.
• Visit customer sites to build relationships, unlock deliveries, and accelerate adoption (target 25-50%).

Requirements:

• More than 5 years of technical leadership experience with customers. This can include technical engagement management, technical program management, or technical product management, in startups/founders, technical profiles, professional services, consulting, or enterprise software.
• Have deployed AI agent-based solutions using AI, ML, or LLM. You understand applicable models, integration approaches, and real-world realities.
• Be able to hold architecture conversations with engineering stakeholders, evaluate technical trade-offs, and test technical decisions under pressure. You won't write production code, but will be responsible for leading technical engagement direction alongside Forward Deployed Engineers.
• Have experience delivering complex, high-stakes technical projects for enterprise customers, where results depend on close coordination and rapid decision-making, ideally in multiple activities within regulated sectors.
• Have an assertive personality: be comfortable, credible, and able to represent Anthropic to high-level executives in high-stakes environments. Overcome ambiguous contexts and bring structure where there isn't.
• Have a builder mindset: here to create a function, not occupy it.

Additional assets:

• Experience in financial services, healthcare, life sciences, or pharmaceutical industries.
• Experience in a deployed engineering firm or professional services and consulting firms.
• Exceptional understanding of LLM capabilities and limitations.
• Experience with regulated industries and compliance requirements.
• Experience managing delivery teams with integrated engineers on customer sites.
• Familiarity with AI agent frameworks, usage tool models, and orchestration architectures.

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About Anthropic

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

About the Role

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

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

• Can our core research workflows survive extreme isolation?

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

• Can AI become our most effective security control?

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

Current Project Areas

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

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

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

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

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

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

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

Responsibilities

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

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

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

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

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

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

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

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

Requirements

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

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

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

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

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

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

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

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

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

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

Preferred Qualifications

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

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

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

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

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

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

Location

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

What We Offer

• Competitive salary and equity package

• Comprehensive health insurance and retirement plans

• Flexible work arrangements, including remote work options

• Professional development opportunities, including training and conference attendance

• Collaborative and dynamic work environment

• Access to cutting-edge technology and resources

• Opportunity to work on challenging and impactful projects

• Recognition and rewards for outstanding performance

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

Deadline to Apply

None, applications will be received on a rolling basis.

Annual Compensation Range

$405,000 - $485,000 USD

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

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

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

As a Strategist, you'll be responsible for growing the Global Public Sector business unit and partnering with technical stakeholders to identify and win major opportunities in the public sector and selected accounts across the GCC.

You will develop and execute on a go-to-market strategy for customer acquisition, navigating a dynamic and often unstructured environment to make impactful decisions.

This is a technical role that requires a deep interest in AI and data and the ability to articulate technical concepts in simple, precise language.

Experience successfully navigating and partnering with governments and senior stakeholders across the GCC is also essential.

Key responsibilities include:

• Working closely with Scale Leadership, Head of EMEA, Engagement Management, Account Executives, and the EMEA Strategy team on overall GTM strategy across the region

• Working with potential clients to identify impactful AI solutions and shape and scope their high-level vision for AI

• Demonstrating the value and impact associated with each AI application

• Navigating complicated organizations, developing relationships, and answering client questions to qualify an identified opportunity to a signed deal

• Building trust and credibility with clients, acting as a reliable AI advisor beyond the core operating capacity of projects

Ideally, you'd have 5+ years of public sector sales or consulting experience, and/or sales experience in complex environments.

A track record of personally shaping and closing $500K to $5M+ deals for complex solutions for public sector accounts is also desirable.

Experience in building GTM strategies to effectively scale growth, partnering with both business and technical stakeholders to identify challenges and formulating solutions to address them, and creating, developing, and communicating executive-level materials are also valuable skills.

Written and spoken fluency in Arabic is required.

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

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

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

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

Key Responsibilities:

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

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

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

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

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

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

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

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

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

Required Qualifications:

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

• 7+ years of professional software development experience

• Experience as a lead of a small software engineering team

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

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

• Proven experience troubleshooting and analyzing remotely deployed software systems

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

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

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

• Excellent communication skills, both written and verbal

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

• Willingness to relocate to Atlanta, GA

Preferred Qualifications:

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

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

• Experience with performance optimization and metrics for complex robotic systems

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

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

• Background in multi-agent coordination, particularly with UAVs

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

• Experience with real-time operating systems and distributed computing

• Familiarity with machine learning and AI applications in robotics

• Knowledge of sensor fusion techniques and implementation

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

• Experience with simulation environments for robotics testing and development

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

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

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

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

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

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

Key responsibilities include:

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

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

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

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

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

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

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

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

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

Requirements include:

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

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

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

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

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

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

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

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

Bonus skills and attributes include:

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

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

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

Success looks like:

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

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

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

Team and domain:

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

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

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

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xAI is building Colossus, the world's largest AI supercomputer, in Memphis. As a Power Generation Engineer, you will play a pivotal role in powering this infrastructure.

You will oversee the daily operations of natural gas turbines and associated power generation equipment, ensuring optimal performance and compliance with safety and environmental standards.

Monitor and analyse power generation systems to detect and resolve issues proactively, minimising downtime and maximising efficiency for the datacentre's massive computational demands.

Collaborate with cross-functional teams to integrate power systems seamlessly with AI infrastructure needs.

Conduct regular maintenance, troubleshooting, and upgrades on turbines, generators, and control systems to support scalable power requirements.

Develop and implement strategies for energy efficiency, cost reduction, and sustainable power generation practices.

Lead root cause analysis for any power-related incidents and drive continuous improvement initiatives.

Ensure all operations adhere to regulatory requirements, including those from local, state, and federal agencies governing natural gas plants.

Mentor junior engineers and technicians, fostering a culture of excellence and innovation in power management.

Basic Qualifications

Bachelor's degree in Mechanical Engineering, Electrical Engineering, Chemical Engineering, or a related field.

5+ years of experience in power generation, with a focus on natural gas plants, turbines, or similar high-reliability energy systems.

Strong understanding of turbine operations, control systems, and power distribution in industrial settings.

Proven track record in troubleshooting complex mechanical and electrical issues in power generation environments.

Familiarity with safety protocols, environmental regulations, and industry standards (e.g., ASME, IEEE).

Preferred Skills and Experience

Master's degree in a relevant engineering discipline.

8+ years of experience, including leadership roles in power plant operations or datacentre energy management.

Expertise in natural gas turbine technologies (e.g., GE, Siemens) and combined cycle power plants.

Knowledge of renewable energy integration or hybrid power systems.

Certifications such as PE (Professional Engineer) or CEM (Certified Energy Manager).

Prior work in high-tech or mission-critical facilities, such as datacentres or aerospace.

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This role is ideal for someone who thrives in a fast-paced environment, enjoys problem-solving, and is passionate about delivering exceptional customer experiences.

Key responsibilities include:

• Managing carrier escalations, trouble tickets, and interoperability issues across telco networks.
• Monitoring network performance, conducting DID probes and test calls, and proactively identifying potential issues.
• Supporting customers across a range of inquiries,from basic product questions to complex technical troubleshooting.
• Diagnosing and resolving technical issues, escalating bugs, and partnering cross-functionally to drive timely resolution.
• Maintaining and exceeding established service levels and productivity standards.
• Collaborating closely with Sales, Engineering, and Product teams to improve the customer experience.
• Identifying opportunities to enhance support processes, educate users, and scale our support model.

To succeed in this role, you will need:

• 3+ years of experience in Customer Support within telecom, carrier, or VoIP environments.
• A strong understanding of LAN/WAN networking and cloud-based technologies.
• Experience with VoIP, SIP environments, and desk phone provisioning.
• Solid troubleshooting and problem-solving skills with the ability to navigate complex technical issues.
• Strong written and verbal communication skills.
• A self-starter mindset with a strong sense of ownership and a team-oriented approach.

Familiarity with Contact Center IVR workflows and 3rd party CRM integrations is a plus.

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We're looking for entrepreneurial Software Engineers to join our Billing Platform team. In this role, you'll have the opportunity to drive the revenue tracking and billing system for our Generative AI products.

Responsibilities:

• Design, implement, and operate flexible and accurate financial systems
• Work across backend, frontend, and accounting-related systems
• Deliver at a high velocity and level of quality to engage our customers
• Work across the entire product lifecycle from conceptualization through production
• Be able, and willing, to multi-task and learn new technologies quickly
• Provide critical input in the Billing team’s roadmap and technical direction
• Work closely with cross-functional partners like finance, product, software engineers, and operations to identify opportunities for business impact, understand, refine and prioritize requirements for billing schemes and financial infrastructure.

Requirements:

• 5+ years of software engineering experience, ideally in high-growth, product-focused environments
• Proven track record of shipping production systems at scale
• Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability.
• Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling
• Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal
• Strong product sense and ability to translate ambiguous problems into technical solutions
• Comfortable working in a fast-paced, high-ownership environment with a bias toward execution
• Excited to join a dynamic hybrid team based in San Francisco or New York City

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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You will work closely with SRE, Platform, and Engineering teams to ensure performance, reliability, automation, and operational excellence across our database environment. This is a hands-on engineering role focused on building resilient data infrastructure, not just administering it.

Responsibilities

• Design, implement, and operate highly available PostgreSQL clusters (physical replication, logical replication, sharding/partitioning, failover automation).
• Optimise query performance, indexing strategies, schema design, and storage engines.
• Perform capacity planning, growth forecasting, and workload modelling.
• Own high-availability strategies including automatic failover, multi-AZ/multi-region setups, and disaster recovery.

Automation & Tooling

• Develop automation for any and all tasks including but not limited to: provisioning, configuration, backups, failovers, vacuum tuning, and schema management using tools such as Terraform, Ansible, Kubernetes Operators, or custom tooling.
• Build monitoring, alerting, and self-healing systems for PostgreSQL and MySQL.

Operations & Incident Response

• Lead response during database incidents,performance regressions, replication lag, deadlocks, bloat issues, storage failures, etc.
• Conduct root-cause analysis and implement permanent fixes.

Cross-Functional Collaboration

• Partner with software engineers to review SQL, optimise schemas, and ensure efficient use of PostgreSQL features.
• Provide guidance on database-related design patterns, migrations, version upgrades, and best practices.

Required Qualifications

• 4 plus years of hands-on PostgreSQL experience in high-volume, distributed, or large-scale production environments.
• Strong knowledge of PostgreSQL internals (WAL, MVCC, bloat/ vacuum tuning, query planner, indexing, logical replication).
• Production experience with MySQL (InnoDB internals, replication, performance tuning).
• Advanced SQL and strong understanding of schema design and query optimisation.
• Experience with Linux systems, networking fundamentals, and systems troubleshooting.
• Experience building automation with Go or Python.
• Production experience with monitoring tools (Prometheus, Grafana, Datadog, PMM, pg_stat_statements, etc.).
• Hands-on experience with cloud environments (AWS or GCP).

Preferred/Bonus Qualifications

• Experience with PgBouncer, HAProxy, or other connection-pooling/load-balancing layers.
• Exposure to event streaming (Kafka, Debezium) and change data capture.
• Experience supporting 24/7 production environments with on-call rotation.
• Contributions to open-source PostgreSQL ecosystem.

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Duolingo's tenets of gamification, delightful design, brand equity, and character IP are key levers you will have access to grow an ad offering that delivers for partners and improves the free user experience.

This role reports into our Director of West Coast Sales, where you will work in a high-velocity environment to scale revenue by building on Duolingo Ads' foundation, engaging your network to generate demand and drive value to Duolingo and our advertising partners.

You will:

• Own and grow a portfolio of advertisers through prospecting, pitching, closing, and renewal
• Drive revenue growth by generating demand within key verticals by building a robust new business pipeline
• Work effectively and smoothly with key members of the ads team across biz, product, design, and engineering to advance deals
• Share actionable marketplace feedback to inform ads leaders, advance deals, and shape products
• Establish and implement efficient, repeatable sales strategies and operational processes, prioritizing accounts and leading key relationships effectively
• Make data-informed decisions around pricing, packaging, and prioritization
• Deliver clear, persuasive pitches and proposals tailored to advertiser goals using internal and external data
• Contribute positively to team culture and shared goals

You have:

• 5-8 years of experience in direct ad sales
• Success selling video and native/custom ad formats in premium, digital environments
• Ability to engage senior decision makers at clients and agencies while also rolling up your sleeves to build sales collateral, troubleshoot issues, and directly bring in revenue
• Consistent track record of building new business into lasting, mutually beneficial ad partnerships with top-tier advertisers
• Strong understanding of ad tech and mobile app ecosystems
• Understanding of the Duolingo product and the freemium business model
• Expertise in using data to derive insights and assess the performance of ad campaigns
• Experience building standard and innovative ad buying agreements
• Exceptional communication and presentation skills
• Ability to operate at a high level with a lot of ambiguity in a fast-paced environment

Salary Range: $120,700-$163,300 USD

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Our team works on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. You'll work on complex, real-world ML problems at massive scale, and contribute to technical strategy, architecture, and long-term ML roadmap.

Responsibilities:

• Design, build, and deploy production-grade machine learning models and systems at scale
• Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Build scalable data and model pipelines with strong reliability, observability, and automated retraining
• Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
• Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions
• Improve system performance across latency, throughput, and model quality metrics
• Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment

Basic Qualifications:

• 3-5+ years of experience building, deploying, and operating machine learning systems in production
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions
• Experience improving measurable metrics through applied machine learning

Preferred Qualifications:

• Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems
• Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.)
• Experience working with real-time systems and low-latency production environments
• Background in feature engineering, model optimization, and production monitoring
• Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale
• Advanced degree in Computer Science, Machine Learning, or related quantitative field

Potential Teams:

• Ads Measurement Modeling
• Ads Targeting and Retrieval
• Advertiser Optimization
• Ads Marketplace Quality
• Ads Creative Effectiveness
• Ads Foundational Representations
• Ads Content Understanding
• Ads Ranking
• Feed Relevance
• Search and Answers Relevance
• ML Understanding
• Notifications Relevance

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• 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
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave

Pay Transparency:

This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.

To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.

The base salary range for this position is: $185,800-$260,100 USD

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In this role, you'll oversee the product roadmap for your data vertical, owning 'data as a product', pipelines for data generation and quality, and researcher-facing tools that help labs train and evaluate intelligent agents in complex environments.

You'll work directly with Scale's most important customers and their leading researchers, representing Scale as the technical expert for your products and influencing both internal and external roadmaps.

The ideal candidate brings together a strong entrepreneurial & go-to-market mindset, technical depth, and a sense for AI research, enabling them to get in front of technical stakeholders to drive mission-critical outcomes.

Responsibilities:

• Own the roadmap for the Agent & RL Environment Data vertical, setting product direction and driving execution across engineering, operations, and go-to-market teams.

• Build technical partnerships with research teams at leading AI labs, identifying insights that shape new product lines and competitive strategies for your vertical.

• Design, experiment with, and deliver high-quality data pipelines, tooling, and evaluation frameworks that advance RL and agentic model capabilities.

• Scope out and scale the creation of RL environments that simulate real-world use cases.

• Collaborate cross-functionally, influencing business priorities and diving in the weeds of research, operations, and customer interactions.

Ideally, You'd Have:

• Entrepreneurial mindset: A builder excited by ambiguity and motivated to create new products from the ground up.

• 6+ years of experience in product management or a customer-facing role.

• Technical fluency: Software engineering background (a degree in computer science or equivalent experience).

• Understanding of reinforcement learnings, simulation environments, or data pipelines for model training and evaluation

• Strong customer intuition and the ability to translate technical requirements into impactful product decisions.

• Bias for action and comfort wearing multiple hats and operating in fast-moving environments.

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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Your responsibilities will include serving as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings.

You will collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements.

You will lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments.

You will drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise.

You will act as a virtual member of CoreWeave's Kubernetes product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions.

You will offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture.

You will conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions.

You will stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders.

You will lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption.

You will represent CoreWeave at conferences and industry events, with occasional travel as required.

To be successful in this role, you will need to have a B.S. in Computer Science or a related technical discipline, or equivalent experience.

You will also need to have 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure, focusing on building distributed systems or HPC/cloud services, with an expertise focused on scalable Kubernetes solutions.

You will need to be fluent in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions.

You will need to have a proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences.

You will need to be familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL).

You will need to have experience with running large-scale Artificial Intelligence/Machine Learning (AI/ML) training and inference workloads on technologies such as Slurm and Kubernetes.

Preferred qualifications include code contributions to open-source inference frameworks, experience with scripting and automation related to Kubernetes clusters and workloads, experience with building solutions across multi-cloud environments, and client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures.

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This is a highly collaborative role. You'll work closely across pre-training, post-training, and product with world-class researchers, infrastructure engineers, and designers.

As a researcher in this role, you'll be expected to:

• Own research projects on audio training, low-latency inference, and conversational responsiveness.
• Design and train large-scale models that natively support audio input and output.
• Investigate scaling behaviour such as how data, model size, and compute affect capability and efficiency.
• Build and maintain audio data pipelines, including preprocessing, filtering, segmentation, and alignment for training and evaluation.
• Collaborate with data and infrastructure teams to scale audio training efficiently across distributed systems.
• Publish and present research that moves the entire community forward.

Share code, datasets, and insights that accelerate progress across industry and academia.

This role blends fundamental research and practical engineering, as we do not distinguish between the two roles internally. You will be expected to write high-performance code and read technical reports.

It's an excellent fit for someone who enjoys both deep theoretical exploration and hands-on experimentation, and who wants to shape the foundations of how AI learns.

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Key responsibilities include:

• Engineering GTM tools: Architect and deploy production-ready agents using the Cloudflare stack (Workers, Agents SDK, Sandbox SDK, Durable Objects etc..).
• AI enablement: Design autonomous workflows using Workers AI and Vectorize (RAG) to automate technical case studies, sales enablement, and event messaging.
• Rapid development: Utilize AI coding assistants (Claude Code, Windsurf, or OpenCode) to move from concept to a shipped internal tool in weeks.
• Technical ownership: Partner with sales/marketing to identify gaps, then build, launch, and manage the internal lifecycle of your technical solutions.

Requirements include:

• Currently pursuing a degree or program in CS or Engineering with a focus on building functional systems.
• Ability to commit to a minimum 12-week summer internship.
• In-office 3-5 days a week in Austin.
• Strong skills in TypeScript/JavaScript, React, and Tailwind CSS, with experience building/consuming RESTful APIs and working with SQL or NoSQL databases.
• Proficiency with Git/GitHub and hands-on experience with AI coding environments (Claude Code, Windsurf, or OpenCode).

Nice-to-have skills include Cloudflare Native and Startup Experience.

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You will design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products. You will collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines.

Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability. Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles.

Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment. Document pipeline processes and configurations to ensure maintainability and knowledge transfer.

Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our development processes. Drive standardization and foster collaboration across different product teams to achieve a unified and efficient SDLC.

We are looking for experienced DevOps Engineers, DevSecOps Engineers, Software Engineers with a strong focus on CI/CD, or a similar role. You should have a proven track record of building or significantly enhancing CI/CD pipelines.

Experience configuring and adapting application code to integrate seamlessly with evolving CI/CD environments is a plus. Familiarity with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. is also required.

We offer a competitive salary range of $245,600-$307,000 USD, 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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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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We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

The Global Presales team

The Global Presales organisation at Okta brings together a diverse group of experts, including Solutions Engineers, the Office of the Field CTO, Alliances, Architects and more, who combine deep technical expertise with strategic business insight. This team serves as trusted advisors to a wide range of customers and partners, helping them unlock the full potential of Okta’s Identity Platform. By asking insightful questions, understanding complex challenges, and delivering tailored solutions, we empower organisations to address their unique identity needs. Empathy, collaboration, and a relentless focus on customer success drive our work and set us apart.

The Alliance Solutions Engineer Opportunity

Okta believes in Partners and together with our technology, will help take Identity mainstream and consolidate our position as a Leader in the market. Alliance Solutions Engineers are dedicated to growing Okta business through the Channel, working closely with Regional Alliance Managers, Sales Representatives, Marketing and Partner Enablement. As an Alliance Solutions Engineer at Okta, you will build strong, long standing relationships with key Partners, Global System Integrators, Distributors and Technology Vendors supporting the Americas. You will become their trusted advisor for anything Identity and Access Management related and will help them understand how Okta can best fit in their Go-To-Market (GTM) Strategy, integrate with their current offerings, help evangelise partner solutions within the Okta field teams and lead our partners in building Okta practices that deliver exceptional customer outcomes.

*This role requires in-person onboarding and travel to our San Francisco, CA HQ office during the first week of employment.

What you’ll be doing

• Build and manage technical relationships with assigned Partners and team with the assigned Okta Partner Account Team
• Drive incremental revenue through increased Okta solution sales with the support of Strategic Partners and their GTM strategies.
• Develop domain expertise and thought leadership regarding the Partners’ current areas of focus as well as in new areas for expansion
• Gather, track, and translate partner feedback to help steer the Okta product roadmap
• Deliver technical training sessions for Partners (demoing Okta features, explaining best practices and competitive differentiators)
• Field technical questions, inquiries and assist with Request for Information from the Partners
• Establish and maintain technical expertise on current and developing Okta products and technology
• Provide oversight, guidance, and assistance during the Partners sales process to ensure mutual success
• Up to 25% travel in support of Partner, Okta and industry events

How you’ll be measured

• Direct and influenced revenue growth
• Partner developed and driven GTM Solution Offering driven into the market / their customer base
• Partner enablement and resource certification growth

What you’ll bring to the role

• 5+ years pre-sales engineering experience.
• Experience with implementing Okta Workforce or Customer Identity
• An understanding of IAM / IDaaS competitive landscape
• Strong passion for Partners and knowledge of Channel business models
• Strong presentation and communication skills at a technical level
• A passion to serve the partner as our customer and ensure their success within their customer bases.
• Experience with at least one standard network security protocol. (OAuth, OAuth2, SAML, LDAP, OIDC)
• Knowledge in one or more of the following areas: web (Javascript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
• Hands-on experience in cloud computing environments (AWS, GCP, Azure)
• Confident dispensing knowledge to a highly skilled and experienced audience.
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

LI-Remote LI-CM (P9991_3343385)

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You will:

• Build synthetic data pipelines to generate enterprise environments to use for RL post-training
• Create agents to convert traces from production into actionable insights to use to improve agents
• Contribute to our agent building product which can construct other agents using coding agents + proprietary algorithms
• Train state-of-the-art models, developed both internally and from the community, to deploy to our enterprise customers

Ideally, you'd have:

• 3+ years of building with LLMs in a production environment
• Clear experiences with constructing high-quality data to use to improve an LLM/Agent
• Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years
• PhD or Masters in Computer Science or a related field

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

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

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Your responsibilities will include:

• Designing, building, and deploying production-grade machine learning models and systems at scale
• Owning the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
• Building scalable data and model pipelines with strong reliability, observability, and automated retraining
• Working with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
• Partnering cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions

You'll work on a wide range of high-impact problems across the Reddit ecosystem, including recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, and multimodal embedding systems.

To be successful in this role, you'll need:

• 3-5+ years of experience building, deploying, and operating machine learning systems in production
• Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals
• ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs)
• Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
• Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure
• Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions

Preferred qualifications include experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems, familiarity with distributed systems and large-scale data processing, and experience working with real-time systems and low-latency production environments.

At Reddit, we're committed to building a workforce representative of the diverse communities we serve. We're proud to be an equal opportunity employer and are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

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Key Responsibilities:

• Establish a vision and plan to guide your long-term approach to net new logo pipeline generation.
• Consistently deliver ARR revenue targets to support 40% YOY growth – dedication to the number and to deadlines.
• Develop and execute sales strategies and tactics to generate pipeline, drive sales opportunities and deliver repeatable and predictable bookings.
• Land, adopt, expand, and deepen sales opportunities with Enterprise accounts in your Region.
• Explore the full spectrum of relationships and business possibilities across the client’s entire org chart.
• Become known as a thought-leader in Okta’s platform.
• Expand relationships and orchestrate complex deals across more diverse business stakeholders.
• Holistically embrace, access, and utilize the channel/alliances to identify and open new, uncharted opportunities.
• Work as a team for the most efficient use and deployment of resources. Provide timely and insightful input back to other corporate functions.
• Position Okta at both the functional and “business value” level with target stakeholders.
• Champion Okta to prospective clients at sales presentations, site visits and product demonstrations
• Build effective working partnerships with your Okta colleagues (channel partners, sales engineering, business value management, customer first and many more globally) with humility and enthusiasm.

Requirements:

• 8+ years of a consistent track record of employment with direct field sales experience developing net new logos selling enterprise cloud software to enterprise companies.
• Previous experience utilizing partners, channels, and alliances to sell more successfully and overachieve your quota.
• Sold a similar complex solution software and have experience in any of the following: enterprise cloud software or infrastructure management, application development and management, security, business applications, and/or analytics.
• Measurable track record in new business development and over achieving sales targets.
• Experience in selling complex enterprise software solutions and ability to adapt in high growth, fast-growing, and changing environments and can adapt quickly.
• Experience in successfully selling during market creation phase.
• Proven track record of successfully closing six figure software cloud deals with prospects and customers in the defined territory.
• Experience in the “C” suite, strong executive presence and polish, and excellent listening skills.
• Experience with target account selling, solution selling, and/or consultative sales techniques; knowledge of MEDDIC and Challenger methodologies is a plus.
• Bachelor's degree; MBA a plus or equivalent experience.

The OTE range for this position for candidates located in the San Francisco Bay area is between $260,000-$390,000 USD.

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As a Software Engineer on our Infrastructure team, you’ll help design, build, and operate the systems that power our real-time collaborative design tools used by millions of people worldwide. We’re scaling fast, and we’re looking for experienced distributed systems engineers across a variety of teams. Whether you’re passionate about storage, compute orchestration, developer tooling, networking, or real-time data systems, this role offers an opportunity to shape the technical foundation of one of the most beloved design platforms in the world.

Responsibilities:

• Design, build, and maintain scalable and reliable infrastructure systems that support product innovation and user collaboration at scale.

• Architect and evolve distributed systems including storage platforms, streaming infrastructure, and compute orchestration.

• Improve developer experience by building internal platforms, CI/CD systems, build tools, and APIs.

• Collaborate across product and infrastructure teams to design secure, maintainable, and performant systems.

• Participate in shaping platform strategy, roadmaps, and engineering best practices across the organization.

• Debug and resolve complex production issues that span services and layers of the stack.

• Mentor engineers and foster a culture of collaboration, inclusivity, and technical excellence.

Requirements:

• 5+ years of Software Engineering experience, specifically in backend or infrastructure engineering.

• Deep understanding of distributed systems concepts such as sharding, replication, consistency, and eventual convergence.

• Experience with cloud-native environments (AWS, GCP, or Azure), infrastructure-as-code, and container orchestration.

• Proficiency in languages such as Go, TypeScript, Python, Rust, or Ruby.

• Strong system design skills and a track record of architecting resilient production systems.

• Excellent communication skills, with experience collaborating across teams and mentoring others.

Preferred Qualifications:

• Experience scaling storage platforms (e.g., Postgres, Redis, S3, DynamoDB) or operating streaming systems like Kafka.

• Background in traffic management, DDoS mitigation, or service mesh technologies (e.g., Envoy, Istio).

• A history of developing complex, real-time distributed systems at scale.

• A passion for building developer productivity tools, including development environments, CI/CD pipelines, and build systems.

• Experience with evolving large-scale, shared developer platforms to improve reliability and developer velocity.

• Strong problem-solving skills and a bias for action,especially when tackling high-impact, gritty challenges.

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About Anthropic

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

About the Role

Safeguards Engineering builds and operates the infrastructure that keeps Anthropic's AI systems safe in production , the classifiers, detection pipelines, evaluation platforms, and monitoring systems that sit between our models and the real world. That infrastructure needs to be not just correct, but reliable: when a safety-critical pipeline goes down or degrades, the consequences can be serious, and they can be invisible until someone looks closely.

As a Technical Program Manager for Safeguards Infrastructure and Evals, you'll own the operational health and forward momentum of this stack. Your primary responsibility is driving reliability , owning the incident-response and post-mortem process, ensuring SLOs are defined and met in partnership with various teams, and making sure that when things go wrong, the right people know, the right actions get taken, and those actions actually get closed out.

Alongside that ongoing operational rhythm, you'll coordinate the larger platform investments: migrations, eval-platform improvements, and the cross-team dependencies that connect them. This role sits at the intersection of operations and program management. It requires genuine technical depth , you need to understand how these systems work well enough to triage effectively, judge what's actually safety-critical versus what can wait, and have informed conversations with the engineers building and maintaining them. But the core of the job is keeping the machine running well and the work moving.

What You'll Do:

• Own the Safeguards Engineering ops review
• Drive the recurring cadence that keeps the team informed and coordinated: surfacing recent incidents and failures, bringing visibility to reliability trends, and making sure the right people are in the room when decisions need to be made.
• Drive incident tracking and post-mortem execution
• Establish and maintain SLOs with partner teams
• Maintain runbook quality and incident-ownership clarity
• Drive platform migrations and infrastructure projects
• Coordinate evals platform improvements

You might be a good fit if you:

• Have solid technical program management experience, particularly in operational or infrastructure-heavy environments , you're comfortable owning a mix of ongoing operational cadences and discrete project work simultaneously.
• Understand how production ML systems work well enough to triage incidents intelligently and have substantive conversations with engineers about what's going wrong and why , you don't need to write the code, but you need to follow the technical thread.
• Are energized by closing loops. Post-mortem action items that never get done, SLOs that no one checks, runbooks that go stale , these things bother you, and you know how to build the processes and follow-ups that fix them.
• Can work effectively across team boundaries , comfortable coordinating with partner teams (like Inference) where you don't have direct authority, and skilled at keeping shared work moving through influence and clear communication.
• Thrive in environments where the work shifts between 'keep the lights on' and 'build something new' , and can context-switch between incident follow-ups and longer-horizon platform projects without dropping either.
• Have experience with or strong interest in AI safety , you understand why the reliability of a safety-critical pipeline is a different kind of problem than the reliability of a product feature, and that distinction motivates you.

Strong candidates may also:

• Have experience with SRE practices, incident management frameworks, or on-call operations at scale.
• Have worked on or with evaluation infrastructure for ML systems , understanding how evals get designed, run, and interpreted.
• Have experience driving infrastructure migrations in complex, multi-team environments , particularly where the migration touches operational systems that can't go offline.
• Be familiar with monitoring and alerting tooling (PagerDuty, Datadog, or equivalents) and the operational culture around them.

Deadline to apply: None, applications will be received 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: $290,000-$365,000 USD

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The nature of our business means you'll spend significant time helping customers who've already adopted Temporal unlock more value by expanding into additional use cases, teams, and workloads. This is a high-velocity, technically deep role.

You'll partner with developers, architects, and engineering leaders at fast-moving companies to help them understand how Temporal fits into their existing architecture and prove out value through hands-on technical work.

You'll be working in a consumption model where usage grows over time, which means building strong technical relationships and staying engaged with accounts as they scale.

As an early member of a growing team, you should be comfortable with ambiguity, frequent context switching, and creating leverage through reusable assets that help the broader team move faster.

Must reside in San Francisco, CA

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As an early-to-mid level AI Growth Specialist (BDR) at Descript, you'll be on the front lines of growth: sourcing and qualifying new business opportunities, building relationships with buyers across modern media, marketing, and enterprise teams, and creating pipeline for our Account Executives.

This role is highly cross-functional , you'll work closely with Marketing, Account Executives, Customer Success, and Product to refine messaging, target the right buyers, and iterate on playbooks that scale.

Responsibilities:

• Drive outbound prospecting through email, phone, social (LinkedIn), and inbound follow-up to generate qualified meetings for the AE team.

• Execute targeted cadences that combine personalization and scale; own the top of funnel for assigned segments.

• Qualify deals against MEDDPICC , build and maintain a healthy pipeline, and pass consistently high-quality opportunities to AEs.

• Hit weekly / monthly activity and pipeline targets (calls, emails, meetings, SQLs).

• Use CRM and sales engagement tools (Salesforce / Unify / Apollo / LinkedIn Sales Navigator) to track activity and report on funnel metrics.

• Collaborate with Marketing to test and optimize messaging, campaigns, and inbound conversion flows.

• Be the voice of the customer , share insights about buyer pain points, competitive signals, and feature requests to Product and GTM teams.

• Help evolve playbooks and onboarding materials for future SDR hires.

Requirements:

• 1–3 years of work experience (SaaS, AI or Investment Banking experience strongly preferred).

• Demonstrated success in outbound prospecting and meeting generation for quota-driven teams.

• Strong written and verbal communication skills , you can write crisp, human outreach and confidently lead discovery conversations.

• Comfortable with high activity levels and a metrics-driven approach to improvement.

• Experience using a CRM and sales engagement tools; comfortable learning and adopting new tooling and processes.

• Grit, curiosity, and the coachability to iterate quickly on feedback.

• Ability to learn our core systems to find targets within our existing customer database

• Passion for creators, video, audio, or modern content workflows is a big plus.

Nice to have:

• Experience selling to marketing, learning & development, product, or media teams.

• Familiarity with audio/video creation workflows or interest in multimedia production.

• Prior experience in a startup or high-growth environment.

• Knowledge of prospecting at enterprise accounts and navigating complex buying groups.

What success looks like (first 3–6 months):

• Consistently hitting activity and meeting targets and contributing a predictable pipeline to the AE team.

• Developing strong, scalable cadences that increase conversion rates from outreach → meeting → SQL.

• Showing strong product knowledge and independently handling discovery calls with high lead quality.

Our hiring process:

• Manager / hiring team interview (role fit & experience).

• Live or recorded roleplay / sales exercise.

• Final conversation with leadership or cross-functional partner.

• Offer.

Base salary range for this role is $60,000-$120,000/year OTE.

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We are seeking a Capability Lead to join our Air Defense team. As the programmatic leader, you will be responsible for the delivery and sustainment of our emergent vehicular counter-UAS products.

Responsibilities

• Qualify product(s): Achieve success in customer-sponsored acceptance tests of the products within your portfolio.
• Product delivery: Build systems to effectively scale novel capabilities beyond their governmental qualifications and into the hands of warfighters.
• Product sustainment at scale: Author the processes in which Anduril sustains delivered products, through their entire lifecycle.
• Relationship management: Build trust with Anduril teammates, vendors, partners, potential customers and users through effective communication, positive attitude, and follow-through.

Requirements

• Proven experience delivering technology to government organisations or large commercial institutions.
• Proven experience leading a technical team of peers to field hardware and software products to real operating environments at various scales.
• Proven experience and aptitude in taking a product from 0 to 1, 1 to 100, and beyond.
• 6+ years work experience in a technology or automotive company or as a part of a technical implementation team focused on developing integrated hardware and software products.
• Eligible for a US DoD S/TS security clearance.

Additional Information

US Salary Range $146,000-$194,000 USD.

Highly competitive equity grants are included in the majority of full-time offers; and are considered part of Anduril's total compensation package.

Additional benefits include healthcare benefits, 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 Senior Account Executive on the Growth team, you will play a key role in helping Dropbox evolve how we go to market as we expand into newer products like Dash. This role goes beyond traditional account expansion. You’ll be responsible for building and scaling how we sell across new use cases and buying centers within our install base and with net new customers.

You will operate at the intersection of execution and problem-solving, closing business while helping shape our sales motion, messaging, and approach.

This is an opportunity to have a direct impact on how Dropbox grows its next generation of products, with high visibility across GTM leadership.

Responsibilities

• Own the full sales cycle from pipeline generation through close and renewal within your territory
• Build pipeline from scratch by prospecting into new teams, departments, and executive stakeholders
• Expand beyond existing motions to uncover new use cases and opportunities
• Consistently generate pipeline through outbound efforts, account mapping, events, and partner collaboration
• Forecast accurately and manage pipeline to consistently meet or exceed revenue targets
• Lead strong discovery to uncover customer challenges, priorities, and desired outcomes
• Apply structured qualification and value-selling frameworks (e.g., MEDDICC, SPICED) to advance deals
• Clearly articulate business impact and position Dropbox solutions around outcomes, not features
• Drive deal momentum by building urgency, aligning stakeholders, and establishing clear next steps
• Contribute to evolving GTM strategy by refining ICP, messaging, and use cases (e.g., Dash)
• Collaborate cross-functionally and bring insights from the field to influence Product and GTM

Requirements

• 6+ years of B2B SaaS sales experience, ideally including time in early-stage, new product, or evolving GTM environments
• Proven ability to generate pipeline and close deals in ambiguous or evolving markets
• Strong experience with qualification frameworks such as MEDDICC, SPICED, or similar
• Demonstrated use of value selling methodologies such as Command of the Message or equivalent
• Experience selling to mid-market and enterprise customers, including executive stakeholders
• Consistent track record of meeting or exceeding sales targets
• High ownership mentality - you take initiative and move things forward without waiting for direction
• Thrive in ambiguity and are comfortable operating without a fully defined playbook
• Curious and business-oriented, with the ability to connect customer problems to solutions
• Resourceful and adaptable - you figure things out and adjust quickly
• Strong collaborator who contributes positively to team culture
• Experience using Salesforce or similar CRM tools to manage pipeline and forecast
• Strong organizational skills and ability to manage multiple complex deals

Preferred Qualifications

• Experience selling a new or emerging product within an existing portfolio
• Experience working in high-change or transformation environments
• BA/BS degree or equivalent experience
• General familiarity with AI or productivity tools

Compensation

US Zone 2: $187,900-$254,100 USD US Zone 3: $166,900-$225,900 USD

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In this role, you will:

Serve as the primary technical point of contact for customers, establishing strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure offerings, focusing on networking technologies within high-performance compute (HPC) environments Collaborate closely with customers to understand their unique business needs and create, prototype, and deploy tailored solutions that align with their requirements. Lead proof of concept initiatives to showcase the value and viability of CoreWeave's solutions within specific environments. Drive technical leadership and direction during customer meetings, presentations, and workshops, addressing any technical queries or concerns that arise. Act as a virtual member of CoreWeave's Networking product and engineering teams, identifying opportunities for product enhancement and collaborating with engineers to implement your suggestions. Offer valuable insights on product features, functionality, and performance, contributing regularly to discussions about product strategy and architecture. Conduct periodic technical reviews and assessments of customer workloads, pinpointing opportunities for workload optimization and suggesting suitable solutions. Stay informed of the latest developments and trends in Kubernetes, cloud computing and infrastructure, sharing your thought leadership with customers and internal stakeholders. Lead the prototyping and initiation of research and development efforts for emerging products and solutions, delivering prototypes and key insights for internal consumption. Represent CoreWeave at conferences and industry events, with occasional travel as required.

Who You Are:

B.S. in Computer Science or a related technical discipline, or equivalent experience 7+ years of proven experience as a Solutions Architect, engineer, researcher, or technical account manager in cloud infrastructure focusing on building distributed systems or HPC/cloud services, with an expertise focused on infrastructure networking. Fluency in cloud computing concepts, architecture, and technologies with hands-on experience in designing and implementing cloud solutions Proven track record with building customer relationships, communicating clearly and the ability to break down complex technical concepts to both technical and non-technical audiences Expertise with a broad range of networking technologies and topics, with a familiarity to understand the needs and use cases is it relates to securing and enabling high performance networking environments. Experience with managing infrastructure networking, Kubernnetes CSI management, and private networking concepts Familiar with NVIDIA GPUs typically used in AI/ML applications and associated technologies such as Infiniband and NVIDIA Collective Communications Library (NCCL)

Preferred:

Code contributions to open-source inference frameworks Experience with scripting and automation related to network technologies Experience with building solutions across multi-cloud environments Client or customer-facing publications/talks on latency, optimization, or advanced model-server architectures

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The Insider Risk Team works cross-functionally to deter, identify, investigate and mitigate risks to Anthropic's most critical assets,our people, our data, and our infrastructure.

Responsibilities:

• Triage custom technical detection alerts
• Independently conduct end-to-end insider risk investigations while working closely with IT, Detection and Response, Legal, HR and other cross-functional teams
• Monitor and triage external threats targeting employees
• Conduct sensitive interviews of employees or other involved parties
• Perform technical analysis of logs from SIEM, DLP, UEBA systems
• Leverage AI tools (Claude, Claude Code) to accelerate investigation workflows and data analysis
• Build and maintain investigation documentation
• Assist in iterating and improving on processes, procedures and systems to detect, mitigate and investigate insider risks
• Work cross-functionally to develop, refine and operationalize insider risk indicators, scenarios and mitigation strategies
• Provide rapid-turnaround security assessments to support business operations
• Support education and awareness programs to promote a robust security culture
• Serve as the subject matter expert for insider risk and provide training to team members as needed

You may be a good fit if you have:

• Bachelor's degree and/or higher education in a related field
• 5-8 years of experience in insider risk, corporate investigations or a related domain
• 3-5 years experience in conducting investigative interviews
• Experience conducting OSINT for threat assessment, or counterintelligence
• Experience leveraging DLP, UEBA, SIEM, SOAR and other insider risk security tooling for detections and investigations
• Broad understanding of internal and external investigations, cybersecurity, interview techniques, risk assessment and managing strong cross-functional relationships
• Ability to communicate complex security findings clearly and concisely to non-technical stakeholders (written and verbal)
• Track record of rapid response to time-sensitive security requests
• Comfort operating across organizational boundaries (Security, People, Legal, IT)
• Exceptional communication, collaboration skills and the ability to lead projects with little guidance
• Demonstrated ability to operate independently with minimal oversight while managing sensitive cases

Strong candidates may also have:

• Experience working in the technology industry or at/with AI/ML companies
• Experience with counterintelligence investigations and nation-state threat actor TTPs
• Background in open-source intelligence collection and analysis
• Track record of AI/LLM adoption for productivity gains in investigative work
• Experience contributing to a high growth startup environment
• Specialized knowledge of risks unique to the AI sector
• Experience with data exfiltration investigations across multiple vectors (email, cloud, removable media)
• Experience working in government, defense, or high-security environments

What makes you successful here:

• Entrepreneurial mindset: You see gaps and fill them without being asked
• Technical + human balance: Equal comfort analyzing log data and conducting sensitive interviews
• AI-native approach: You leverage LLMs to work smarter, not just harder
• Mission alignment: You understand AI safety stakes and insider risk's role in protecting that mission
• Judgment under uncertainty: You make sound decisions with incomplete information
• Clear communicator: You distill complex findings into actionable insights for diverse audiences
• Cross-functional navigator: You build relationships and collaborate effectively across teams

Annual compensation range for this role is $245,000-$305,000 USD.

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At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.

We're the only company offering three integrated solutions for frontier AI development:

Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale

Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models

Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling

Why Join Us

High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.

Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.

Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.

Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.

Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.

The role

We’re hiring a Forward Deployed Engineering Manager to lead the design, development, and delivery of reinforcement learning environments for agentic AI systems.

You’ll manage a team responsible for building sandboxed, reproducible environments,terminal-based workflows, browser automation, and computer-use simulations,that power both model training and human-in-the-loop evaluation. This is a hands-on leadership role where you’ll set technical direction, guide execution, and stay close to architecture and critical systems.

What You’ll Do

Lead, hire, and develop a high-performing team of Forward Deployed Engineers, setting a high bar for ownership, velocity, and technical quality

Own the RL environment roadmap, aligning team execution with customer needs and evolving model capabilities

Oversee development of sandboxed environments (terminal, browser, tool-augmented workspaces) that support deterministic execution and multi-step agent interaction

Ensure reliability, observability, and data integrity through strong instrumentation (logging, trajectory capture, state snapshotting)

Drive infrastructure excellence across containerization, sandboxing, CI/CD, automated testing, and monitoring

Partner cross-functionally with data operations, product, and leading AI labs to define task design, evaluation protocols, and environment requirements

Enable rapid prototyping and iteration, helping the team move from ambiguous requirements to production-ready systems quickly

Stay close to the technical details,reviewing architecture, unblocking complex issues, and guiding design decisions

What We’re Looking For

5+ years of software engineering experience (Python)

2+ years of experience managing or leading engineers in fast-paced environments

Strong experience with containerization and sandboxing (Docker, Firecracker, or similar)

Solid understanding of reinforcement learning fundamentals (MDPs, reward design, episode structure, observation/action spaces)

Background in infrastructure, developer tooling, or distributed systems

Strong debugging skills and systems thinking across layered, containerized environments

Ability to operate in ambiguity and translate loosely defined problems into clear execution plans

Excellent communication and stakeholder management skills

Preferred

Experience building or working with RL environments (Gym, PettingZoo) or agent benchmarks (SWE-bench, WebArena, OSWorld, TerminalBench)

Familiarity with cloud infrastructure (GCP or AWS)

Prior experience in AI/ML platforms, data companies, or research environments

Contributions to open-source projects in RL, agents, or developer tooling

Why This Role Matters

RL environment quality is a critical bottleneck in advancing agentic AI. Poorly designed or unreliable environments introduce noise into training loops and directly impact model performance.

In this role, you’ll lead the team building the environments that define how models learn,working across a range of cutting-edge projects with leading AI labs. Alignerr offers the speed and ownership of a startup with the scale and resources of Labelbox, giving you the opportunity to have outsized impact on the future of AI.

About Alignerr

Alignerr is Labelbox’s human data organization, powering next-generation AI through high-quality training data, reinforcement learning environments, and evaluation systems. We partner directly with leading AI labs to build the data and infrastructure that push model capabilities forward.

Life at Labelbox

Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland

Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility

Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making

Growth: Career advancement opportunities directly tied to your impact

Vision: Be part of building the foundation for humanity's most transformative technology

Our Vision

We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs.

Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs.

Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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As a Product Design Director, you will be responsible for leading, coaching, and inspiring a team of designers and design leaders working across multiple product surfaces. You will partner with Product and Engineering leadership counterparts to lead a product division, aligning strategy, driving decisions, and unblocking delivery. You will set and uphold an extremely high bar for craft, from UX flow to pixels to polish.

You will solve problems from first principles, not templates. You will help your team make hard decisions, move fast, and focus on outcomes over process. You will be a design quality amplifier, noticing the details others miss, and pushing the work to where it needs to be. You will build a healthy, high-trust team culture grounded in feedback, growth, and ownership.

You will stay hands-on in the work, reviewing designs, jumping into critiques, and driving clarity. You will be a key player in shaping how the entire company builds product in the AI era, not following playbooks, but writing new ones.

You will know you're successful if your team is delivering high-quality product work at speed, consistently. You've hired exceptional talent and helped your existing team grow. You've partnered with other design leaders and operations functions to implement the correct amount of structure and rigour required for success.

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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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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.

We protect and accelerate 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.

Role Summary

The Infrastructure Services Engineer is a foundational execution role within Cloudflare’s Integrated Hardware Systems team, supporting the delivery of outsourced data center and infrastructure services that enable global hardware deployments at scale. This role focuses on day-to-day service execution, delivery tracking, and operational follow-through across Cloudflare’s data center footprint.

Role Responsibilities

• Support the execution and oversight of outsourced data center and infrastructure services supporting hardware deployment and lifecycle operations.
• Track service delivery related to rack installation, deployment support, remote hands, and in-data-center activities, ensuring work is completed to defined expectations.
• Identify delivery risks, service gaps, and recurring issues, escalating concerns and supporting resolution as needed.
• Analyze service performance, deployment trends, and vendor metrics to support operational insight and reporting.
• Maintain dashboards, trackers, and recurring operational reports used to monitor execution and service health.
• Support service reviews, readiness assessments, and onboarding activities for new sites and deployment waves.
• Serve as an operational liaison between Integrated Hardware Systems, Infrastructure Operations, Engineering, Procurement, and external service vendors to ensure clarity on responsibilities, handoffs, and escalation paths.

Role Requirements

Must-Have Skills

Experience supporting infrastructure operations, data center services, or hardware deployment activities. Familiarity with data center environments, rack-level hardware, or infrastructure build-out processes. Strong analytical skills with experience using spreadsheets, dashboards, or trackers to monitor execution and performance. Comfort working with operational metrics, SLAs, and service indicators. Clear written and verbal communication skills, with the ability to coordinate across teams and with external vendors. Strong sense of ownership, follow-through, and accountability in execution-heavy environments. Ability to operate effectively in fast-moving, operationally complex settings.

Nice-to-Have Skills

Experience working with outsourced service providers or vendor-managed operational models. Exposure to large-scale infrastructure deployments or global data center operations. Familiarity with service reviews, vendor evaluations, or commercial performance tracking.

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 election websites in 33 states. 1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.

We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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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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This means driving deployments from scoping through production, running the platform work that spans them, and working across API, Platform Foundations, Security, our cloud provider counterparts, and whoever else is on the critical path when dependencies and tradeoffs pile up.

Responsibilities:

• Own end-to-end program execution for Anthropic’s API across major cloud deployments, from scoping through production launch and steady-state operations

• Drive the platform programs that cut across individual deployments: the shared foundations that get built once and reused, not rebuilt per cloud

• Act as a primary coordination point with cloud provider counterparts, keeping engagement clean across multiple internal teams with touchpoints into the same partner

• Partner with engineering leadership to turn technical direction into executable plans with clear owners, dependencies, and risk tracking

• Build the program scaffolding (roadmaps, status reporting, decision logs, escalation paths) that lets a fast-moving org stay aligned without slowing down

• Drive the hard sequencing conversations when partner commitments, engineering bandwidth, and priorities are in tension, and surface them to leadership with a recommendation

• Identify where program coverage is thin relative to the load and help shape how we staff around it

You may be a good fit if you:

• Have 10+ years of technical program management experience, including ownership of large infrastructure or platform programs with many engineering teams and external partners in the mix

• Have deep technical fluency in cloud APIs, infrastructure, distributed systems, or platform engineering, enough to be a credible partner to senior engineers on architecture and sequencing, not just a tracker of their decisions

• Have run programs spanning organizational boundaries where you had no direct authority over most of the people whose work you depended on, and delivered anyway

• Have direct experience with multi-cloud or hybrid cloud environments, large-scale migrations, or building platform abstraction layers

• Have worked with major cloud providers (AWS, GCP, Azure) or similar large technology partners, and know how to keep those relationships productive when priorities diverge

• Are comfortable operating in ambiguity on the long arc while being ruthlessly concrete on what ships this quarter and who owns it

• Have a track record of making a program get cheaper to run the second and third time, not just landing the first instance

• Thrive in environments where the plan you wrote last month needs rewriting, without losing the thread on what matters

Strong candidates may also:

• Have experience with production serving infrastructure, inference systems, or ML platform work

• Have moved between senior IC and management roles, or have interest in doing so

• Have worked at a company rebuilding systems and org in flight during rapid scale-up

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As an Integration and Test Engineer (Mechanical), you will work within a dynamic team of multidisciplinary engineers and specialists throughout the life of AUV design, integration, and test efforts. Your responsibilities will include:

• Supporting design and integration of AUV mechanical subsystems and components, ensuring proper interfaces with electronic and software systems
• Developing, building and operating physical integration environments and test fixtures to support system maturity efforts
• Conducting root cause analysis for mechanical failures and implementing corrective actions
• Providing mechanical subject matter expertise to test operations for AUV platforms, including conducting pre-mission testing, vehicle tasking, and data analysis
• Writing, reviewing, and executing detailed test procedures to document the step-by-step execution of internal and customer-facing efforts to test and evaluate AUV subsystems, platforms, and new capabilities
• Supporting infield debug, repair, operation, and maintenance of AUVs
• May be in the field up to 20% of the time, supporting nearshore and offshore testing

We are looking for a highly motivated and experienced engineer who is passionate about delivering high-quality results and has a strong understanding of mechanical engineering principles and practices. If you have a genuine interest in working with multi-domain unmanned systems and have a proven track record of success in a similar role, we encourage you to apply.

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Brex is a financial platform that enables companies to spend smarter and move faster in over 200 markets. It combines global corporate cards and banking with intuitive spend management, bill pay, and travel software.

As a Senior Application Security Engineer, you will focus on finding and responding to security vulnerabilities across the Brex platform. In this role, you will perform code reviews, design reviews, penetration testing, and vulnerability management. You will develop and maintain tooling to perform static and dynamic testing of the Brex platform and tooling which supports secure developer workflows.

Application Security is part of our wider Financial Scale organization, which means you will work closely with Security Operations, GRC, Product Security, Front End Platform, IT Infrastructure teams.

We’re looking for individuals with a strong background and interest in penetration testing. You should have a demonstrated ability to find vulnerabilities in complex systems and craft exploits to demonstrate business impact.

This role is highly cross-functional and collaborative, you will have the opportunity to work with every engineering team across Brex.

Building a world-class financial service requires world-class security. Brex is pioneering the next wave of AI-driven financial services for dynamic, high-impact companies like Coinbase, Robinhood, and Anthropic.

Responsibilities

• Identifying vulnerabilities, demonstrating business impact, and articulating the risk of specific vulnerabilities to drive prioritization efforts

• Perform penetration testing and design reviews, looking for vulnerabilities and insecure designs, work with engineering and product to design secure product features

• Maintain and build internal tools to automate security efforts, perform SAST and DAST testing of the Brex platform, and support secure development practices

• Build and contribute to a culture of collaborative security excellence through technical leadership, learning sessions, and mentorship within the team and wider organization

Requirements

• 5+ years work experience in an Application Security or related role

• Ability to find vulnerabilities in complex systems, demonstrating business impact through custom attack chains

• Experience with a wide range of secure development activities including, threat modeling, developer education, and incident response

• Knowledge of Python, scripting languages, and AI/agentic workflows to automate tasks, build tools and improve productivity

• Collaborative mindset paired with strong written and verbal communication skills

Bonus points

• Proficiency with Kotlin, gRPC, GraphQL, Kubernetes

• Previous experience as a software engineer

• Consultancy experience performing web application security reviews

• Experience with securing distributed systems in AWS and cloud environments

• Experience with pentesting and securing agentic features and systems

• Contributions to the wider technical community, open source, public research, mentorship, community organizing, blogging, CVEs, presentations, etc

Experience submitting to bug bounty programs or responsible disclosure programs

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.

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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.

We protect and accelerate 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 were named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company.

Available Locations:

Remote in US and Europe

Principal VM Engineer – Workers Runtime Team

About the Department

The Emerging Technologies & Incubation (ETI) team at Cloudflare builds and launches bold, new products that push the boundaries of what's possible on the internet. By leveraging Cloudflare's massive network and edge computing capabilities, we solve complex problems at a scale few others can achieve.

About the Team

The Workers Runtime team is responsible for the execution environment that runs customer code at the edge. We focus on performance, security, and scalability, enhancing JavaScript APIs, WebAssembly support, and system optimizations to prepare for the next 10x scale increase. Our runtime operates in a resource-constrained, highly secure environment, requiring careful management of memory, CPU, and I/O.

What You'll Do

We are looking for a VM Engineer to help improve and embed the V8 virtual machine in our runtime. You'll work on low-level optimizations, performance enhancements, garbage collection, and language support to ensure our platform remains cutting-edge. This role is ideal for engineers who love tackling high-performance, low-latency challenges in distributed environments.

Key Responsibilities

• Optimize and embed the V8 VM within Cloudflare's Workers Runtime.
• Improve JavaScript execution performance and WebAssembly integration.
• Debug, optimize, and enhance low-latency, real-time environments.
• Ensure the reliability and efficiency of large-scale, Linux-based distributed systems.
• Collaborate with engineers across runtime, security, and networking teams to push the boundaries of edge computing.

What We're Looking For

• 6+ years of professional experience with C++.
• 4+ years of hands-on VM/compiler experience, ideally with V8.
• Strong knowledge of computer science fundamentals, including data structures, algorithms, and system architecture.
• Experience with low-latency environments (e.g., game streaming, trading systems, high-performance computing).
• Operational mindset – you build scalable, production-ready solutions.
• Deep understanding of web technologies (HTTP, JavaScript, WASM).

Bonus Points

• Experience working with Rust in high-performance distributed systems.
• Familiarity with serverless platforms and cloud computing.
• Deep knowledge of JS engine internals (V8, SpiderMonkey, JavaScriptCore).
• Experience with standalone WebAssembly runtimes (Wasmtime, Wasmer, Lucet).
• Strong expertise in Linux/UNIX systems, kernels, and networking.
• Contributions to large open-source projects.

This is an exciting opportunity to work on cutting-edge compiler and runtime technologies at an unmatched scale. If you're passionate about high-performance computing, distributed systems, and compilers, we’d love to hear from you!

## ##

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 election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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Your work will directly shape Headway's ability to deliver for providers and patients nationwide. You will:

• Run full-cycle searches across technical orgs, driving everything from intake to offer while partnering closely with sourcers, coordinators, and hiring teams
• Act as a strategic partner to hiring managers, advising on role definition, search strategy, market realities, and funnel expectations
• Use data to diagnose and improve search, quickly refining the approach and/or process as needed to accelerate progress
• Build Olympic-level pipelines through targeted sourcing strategies
• Ensure every search follows a structured, inclusive process that raises the hiring bar and improves consistency across teams
• Deliver an exceptional candidate experience through every step of the process

You'd be a great fit if you...

• Bring 5+ years of full-cycle recruiting experience in high-growth, tech-enabled environments (in-house or blended agency)
• Have deep experience hiring a variety of niche, complex, or hard-to-fill roles across non-technical functions, spanning mid to senior level
• Operate as a business partner, using market insights and data to guide hiring managers toward better, faster decisions
• Break down complex searches into clear plans, diagnosing bottlenecks and proposing solutions proactively
• Manage multiple searches with structure, balancing high volume with attention to detail and predictable execution
• Think creatively about sourcing to find and engage top technical talent
• Care about operational excellence with a focus on constantly improving your workflow and reducing friction for candidates and stakeholders
• Communicate clearly and with presence, whether aligning with hiring managers or guiding candidates through the process

Compensation and Benefits: The expected base pay range for this position is $121,600 - $190,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level. We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity.

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Safeguards Engineering builds and operates the infrastructure that keeps Anthropic's AI systems safe in production. As a Technical Program Manager for Safeguards Infrastructure and Evals, you'll own the operational health and forward momentum of this stack.

Your primary responsibility is driving reliability , owning the incident-response and post-mortem process, ensuring SLOs are defined and met in partnership with various teams, and making sure that when things go wrong, the right people know, the right actions get taken, and those actions actually get closed out.

Alongside that ongoing operational rhythm, you'll coordinate the larger platform investments: migrations, eval-platform improvements, and the cross-team dependencies that connect them.

This role sits at the intersection of operations and program management. It requires genuine technical depth , you need to understand how these systems work well enough to triage effectively, judge what's actually safety-critical versus what can wait, and have informed conversations with the engineers building and maintaining them.

But the core of the job is keeping the machine running well and the work moving.

Responsibilities

• Own the Safeguards Engineering ops review
• Drive the recurring cadence that keeps the team informed and coordinated: surfacing recent incidents and failures, bringing visibility to reliability trends, and making sure the right people are in the room when decisions need to be made.
• Drive incident tracking and post-mortem execution
• Establish and maintain SLOs with partner teams
• Maintain runbook quality and incident-ownership clarity
• Drive platform migrations and infrastructure projects
• Coordinate evals platform improvements

Requirements

• Solid technical program management experience, particularly in operational or infrastructure-heavy environments
• Understanding of how production ML systems work well enough to triage incidents intelligently and have substantive conversations with engineers about what's going wrong and why
• Ability to work effectively across team boundaries
• Experience with or strong interest in AI safety

Nice to Have

• Experience with SRE practices, incident management frameworks, or on-call operations at scale
• Familiarity with monitoring and alerting tooling (PagerDuty, Datadog, or equivalents)
• Experience driving infrastructure migrations in complex, multi-team environments

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Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime.

At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work.

Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that.

To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.

You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Job Description:

We're looking for an Engineering Manager to lead the Developer Fundamentals team within Developer Foundations.

In this role, you'll lead a team responsible for improving the daily development experience for every Pinterest engineer by shaping the core workflows developers rely on to write, review and ship code.

The team owns critical surfaces in the developer workflow including source control, developer CLIs, developer environments and code navigation.

Key Responsibilities:

• Lead and grow a team of 5+ engineers responsible for the core developer workflows used by every Pinterest engineer, setting clear direction, execution standards and operational excellence for the platform

• Own the team's roadmap in partnership with the TL, balancing strategic initiatives with operational reliability

• Drive execution on key initiatives including AI-native developer workflows, developer environment modernization and CLI standardization

• Champion AI-native development practices across the team, using AI coding tools to accelerate delivery and model best practices for the broader engineering organization

• Define and drive the team’s approach to AI developer environments, including sandbox usability, agent tooling integration and AI-assisted code review workflows

• Build a culture of developer empathy: understand the pain points of Pinterest engineers and translate them into high-impact improvements

• Establish and improve operational practices including oncall rotations, incident response and production health metrics

• Partner with cross-functional teams (Developer Infrastructure, Security, ML Infrastructure) to ensure developer workflows integrate smoothly with underlying systems

• Hire and develop engineers, creating clear growth paths and a high-trust team environment

Requirements:

• 3+ years of engineering management experience leading teams of 4+ engineers

• Experience improving developer experience with a track record of identifying and removing friction in engineering workflows

• Strong technical background building or operating developer platforms such as source control systems, developer CLIs, developer environments, build systems or CI/CD

• Experience improving developer workflows and operating developer platforms at scale in large engineering environments, including ownership of oncall, reliability improvements and service health metrics

• Ability to partner effectively with a Tech Lead to align people leadership with technical direction

• Hands-on experience using AI coding assistants and developer tools in day-to-day engineering work, with an ability to evaluate and adopt emerging tools effectively

• Familiarity with how AI is transforming developer workflows – code generation, code review, agent-driven development and developer environments

• Strong communication skills with the ability to articulate technical strategy to both engineers and senior leadership

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

Additional Information:

This job posting is for an open vacancy.

Please note that the company utilizes artificial intelligence to screen applicants for the positions.

Relocation Statement:

This position is not eligible for relocation assistance.

Visit our PinFlex page to learn more about our working model.

In-Office Requirement Statement:

We recognize that the ideal environment for work is situational and may differ across departments.

What this looks like day-to-day can vary based on the needs of each organization or role.

This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in Ontario.

#LI-HYBRID #LI-CH1

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We're hiring research engineers to define and execute the Labs research agenda. You'll scope your own projects, run experiments end-to-end, and decide when an idea is ready to hand off to a production team , or when to kill it and move on.

Responsibilities:

• Lead and contribute to research projects investigating new methods for detecting misuse of Claude, identifying malicious organisations and accounts, strengthening model safeguards, and other safety needs.

• Design and run offline analyses over model usage data to surface abuse patterns, build classifiers and detection systems, and evaluate their effectiveness.

• Develop and iterate on prototypes that could eventually feed signals into the real-time safeguards path, partnering with engineers on tech transfer.

• Contribute to a broader research portfolio investigating methods for detecting abusive behaviour in chat-based or agentive workflows, and for training the model to robustly refrain from dangerous responses or behaviours without over-refusing.

• Build evaluations and methodologies for measuring whether safeguards actually work, including in agentic settings.

• Write up findings clearly so they inform decisions across Trust & Safety, research, and product teams.

You may be a good fit if you:

• Have a track record of independently driving research projects from ambiguous problem statements to concrete results, ideally in AI, ML, security, integrity, or a related technical field.

• Are comfortable scoping your own work and switching between research, engineering, and analysis as a project demands.

• Have working familiarity with how large language models operate , sampling, prompting, training , even if LLMs aren't your primary background.

• Are proficient in Python and comfortable working with large datasets.

• Care about the societal impacts of AI and want your work to directly reduce real-world harm.

Strong candidates may also have:

• Experience building and training machine learning models, including classifiers for abuse, fraud, integrity, or security applications.

• Knowledge of evaluation methodologies for language models and experience designing evals.

• Experience with agentic environments and evaluating model behaviour in them.

• Background in trust and safety, integrity, fraud detection, threat intelligence, or adversarial ML.

• Experience with red teaming, jailbreak research, or interpretability methods like steering vectors.

• A history of taking research prototypes and transferring them into production systems.

Logistics

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Benefits

• Competitive compensation and benefits

• Optional equity donation matching

• Generous vacation and parental leave

• Flexible working hours

• Lovely office space in which to collaborate with colleagues

Visa Sponsorship

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

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Key responsibilities include owning the growth roadmap for top-of-funnel optimization and pricing & packaging tests across geolocations and platforms, identifying and prioritizing the highest-impact opportunities across landing pages, sign-up, onboarding, upgrade flows, and plan selection, and leading structured experimentation (A/B and multivariate testing).

You will partner with Design and Engineering to build and iterate on growth components (upgrade surfaces, pricing modules, offer, onboarding experience) and drive pricing and packaging strategy: run pricing experiments, evaluate packaging changes, and improve plan positioning and upgrade paths.

Expand growth globally by improving localized acquisition and conversion, addressing country-specific payment and platform considerations, and tailoring offers by market. Improve mobile monetization by optimizing mobile upgrade journeys, experimenting with placements and messaging, and partnering on app-store/platform constraints and opportunities.

Monitor funnel health and cohort performance, balancing conversion gains with long-term retention, trust, and user experience quality.

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Key Responsibilities:

• Lead and manage the team that partners with Sales (Growth and Retention) to define market-winning strategies that align with Komodo's overarching business objectives.

• Lead and manage the team that acts as technical diplomats to C-suite stakeholders, translating business hurdles into actionable solutions using Komodo's suite of products and Healthcare Map.

• Lead and manage the team that oversees the creation of customer-specific technical solutions that address requirements and long-term goals.

• Collaborate with Product, Sales, Marketing, and other teams to craft and deliver compelling value propositions and demonstrations.

• Lead and manage the team that provides thought leadership on the application of analytics and healthcare data to drive measurable customer success.

Requirements:

• 15+ years of professional experience with a significant focus on high-growth SaaS, analytics, or AI environments.

• 8+ years of leadership experience, specifically having scaled a presales and/or technical consulting organization, ideally from an earlier stage to a multi-layered enterprise team.

• Strategic Breadth: Proven ability to influence internal product direction and external customer strategy simultaneously.

• Domain Knowledge: Experience navigating the Life Sciences and/or Healthcare space.

• Technical Literacy: Awareness of data science tools, cloud technologies, and AL/ML applications.

Expectations of AI Use in this role:

• Applies AI strategically, knowing how to use the right tools at the right time to solve problems or generate new ideas.

• Uses AI to accelerate feedback loops, test ideas, and make informed decisions faster.

• Applies both judgment and creativity when working with AI and understands its limitations.

• Educates and enables others in the proper use of AI in the pre-sales domain.

• Demonstrates curiosity and initiative in exploring new AI tools and workflows relevant to their role.

• Has developed or shared AI-enhanced workflows, automations, or prompts with others.

• Brings a reflexive AI mindset and uses AI as a natural part of their process to iterate, research, and deliver better work.

• Comfortable working in AI-enhanced environments across writing, data analysis, content creation, or design.

• Regularly leverages AI tools such as Gemini, Cursor, Perplexity, Claude, ChatGPT, or Microsoft Copilot to improve speed, clarity, or creative output.

This position may be eligible for performance-based bonuses as determined in the Company's sole discretion and in accordance with a written agreement or plan. This role may also be eligible for equity awards. In addition, this role is eligible for benefits including, but not limited to, comprehensive health, dental, and vision insurance; flexible time off and holidays; 401(k) with company match; disability insurance and life insurance; and leaves of absence in accordance with applicable state and local laws and regulations and company policy.

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Your primary responsibilities will include executing rapid evaluation of engineering concepts in a wide range of fields, identifying partners in industry to engage with, and managing early vendor relationships. You will also perform trade studies and physics-based analysis of blue-sky engineering problems, manage internal and external market research and comparisons, and design, implement, and test of complex electro-mechanical systems.

You will have high-level system ownership with large levels of professional autonomy, leading design reviews, running analysis, visiting vendors, defining and executing hardware test plans, building prototypes, analyzing failures, and transitioning successful projects into production.

You will also support critical hardware demonstrations with customers as needed, travel to test sites as needed, and use first principles physics as a basis for every decision.

In addition to your technical expertise, you will need to demonstrate strong organizational skills, leadership skills, and the ability to read, interpret, and manipulate schematics, wiring diagrams, and layouts.

A Bachelor's degree in an engineering field, or equivalent work experience, is required. A Master's degree or Ph.D. is preferred. You must also be eligible to obtain and maintain an active U.S. Top Secret security clearance.

We offer a highly competitive salary range of $142,000-$213,000 USD, plus highly competitive equity grants and 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, relocation assistance, and a retirement savings plan.

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As a leader in our Enterprise Support organization, you'll partner closely with Sales, Product, Engineering, and Support Operations to improve workflows, unlock product insights, and advocate for meaningful system changes.

Key responsibilities include:

• Leading and developing the Enterprise Support team, setting a high bar for customer experience, quality, and performance
• Managing, coaching, and empowering the team to meet the KPIs most critical to Enterprise success
• Partnering with Product Support Operations to recommend and implement operational improvements
• Collaborating closely with Sales leadership to unblock high-value customers and support complex organization migrations
• Working with Voice of the Customer, Product, and Engineering teams to surface meaningful insights that drive product and journey improvements

We're looking for someone with 4+ years of experience leading high-performing support teams, primarily serving enterprise customers in technical SaaS environments. You should have consistently focused on elevating both the customer and employee experience through continuous improvement, and have a proven ability to partner cross-functionally with Sales and Engineering to advance meaningful customer outcomes.

If you're excited about this role and have the skills and experience we're looking for, please apply!

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You'll operate with a high degree of autonomy and will be accountable for setting the long-term technical strategy for the team and executing against it.

As a senior technical leader, you will:

Own and evolve the architecture of Intercom's web stack. Define the long-term technical strategy for the web team, focusing on scalability, performance, developer productivity, observability, and system reliability. Collaborate closely with marketing, design, analytics, and data science stakeholders to ensure the platform supports their goals with accuracy, performance, and agility. Lead and influence the design and implementation of MarTech systems for event tracking, attribution, funnel reporting, A/B testing infrastructure, and more. Partner with engineers across web, infrastructure, and data to create a high-quality, cohesive technical ecosystem. Mentor and elevate engineers across the team and organisation , providing guidance on architecture, data modeling, system design, and engineering best practices. Set the standard for technical excellence in reliability, maintainability, code quality, and operational readiness. Provide technical leadership and insight to Engineering Managers, Product Managers, and executive stakeholders , communicating risks, trade-offs, and opportunities clearly. Contribute hands-on to the codebase , leading by example and helping unblock and accelerate key projects.

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Key Responsibilities:

• Generate and capture International Advanced Effects opportunities, involving significant international travel, trade show coordination, and deep understanding and responsibility for representing country-specific budget cycles.
• Develop capture strategies, providing cohesive business plans and execution models that outline acquisition plans, create clear alignment to investment strategies, and drive towards program of record execution.
• Drive product development and program transition, representing key design trades for partner nation-specific design trades and informing new product decisions based on clients' needs.
• Grow existing business, partnering with execution teams and product engineers to expand upon current work and leverage existing partnerships to explore new areas of work or opportunities.

Requirements:

• Prior acquisition or operational experience with missile systems across surface fires, air-launched effects, and the air defense domains, in a variety of roles and missions.
• Prior experience working with foreign militaries or ministries of defense, with emphasis on current operational needs and relationships across key allies in Europe and Asia.
• Excellent writing, communication skills with experience presenting to senior executives and customers.
• Ability to travel up to 50%-75%.
• Eligible to obtain and maintain an active U.S. Secret security clearance.

Preferred Qualifications:

• Experience shaping and leading capture efforts in the defense industry.
• Prior experience working with FMS/DCS and direct international customers with a strong understanding of FMS/DCS processes, including navigating licensing and releasability.
• High ownership and ability to work in a fast-paced, highly entrepreneurial, and creative environment.
• Builder who is adaptive and who can lead new and innovative approaches to market.
• Comfortable with working in limited resource environments.
• Currently possesses and is able to maintain an active U.S. Secret security clearance.

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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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In this role, you will build a cohesive, data-driven strategy to penetrate, expand, and deliver at scale our vehicle-integrated Edge Compute and Communications capabilities across all DoW services.

Key responsibilities include:

• Developing and executing strategic initiatives to expand the adoption of Menace-X and other integrated vehicle compute solutions across DoD and allied forces.

• Identifying and qualifying new business opportunities where mobile ECC capabilities can address operational gaps in tactical edge environments based on operational analysis and deep customer engagement.

• Leading capture efforts for vehicle-based ECC programs, including support to Portfolio Acquisition Executives (PAEs), service labs, and operational units.

• Building and maintaining relationships with key stakeholders across the services to understand mission needs and position Anduril’s vehicle-based ECC solutions accordingly.

• Collaborating with engineering, product, and operations teams to shape technical roadmaps aligned with customer requirements and emerging threats.

• Supporting proposal development, customer briefings, and strategic planning activities.

• Representing Anduril’s ECC vehicle systems portfolio at industry events, demonstrations, and field exercises.

• Contributing to business performance tracking, forecasting, and strategic growth planning.

Required qualifications include 7-10 years of experience in defence business development, program management, or acquisitions, strong understanding of DoD acquisition processes, government contracting, and capability transition strategies, experience with tactical vehicle platforms, mobile C2 systems, and edge compute/communications technologies, familiarity with DDIL operational environments and mobile command and control concepts, demonstrated success in capturing and growing defence programs, particularly in vehicle-based systems, excellent communication, stakeholder engagement, and cross-functional collaboration skills, ability to thrive in a fast-paced, mission-driven environment, currently possessing and able to maintain an active U.S. Secret security clearance, and ability and willingness to travel up to 50%.

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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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The vendors and partners you'll manage span verification, threat intelligence, process outsourcing, capability evaluation, civil society consultation, and research collaboration. You'll build repeatable processes where they're needed while staying nimble enough to handle novel partnership structures, like research collaborations, civil society consultations, and model red-teaming engagements that don't fit neatly into standard procurement workflows.

You'll work closely with legal, procurement, finance, and engineering teams, and you'll be the person who knows where every Safeguards contract stands, what we're spending, and where we should consider a change.

This is a role for someone who's comfortable operating across commercial, legal, and technical contexts in a fast-moving environment , someone who can negotiate contract terms, work with legal teams to redline contracts, set up model access for a research partner, and handle a vendor performance issue in one day.

*Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature.

Responsibilities:

• Vendor Selection & Onboarding: Understand the broad vendor landscape for Safeguards and drive vendor selection processes with expert input, factoring in tradeoffs between capability, price, and internal resources across categories including verification, threat intelligence, process outsourcing, and capability evaluation
• Conduct vendor due diligence and coordinate security and data governance reviews for vendors handling sensitive model access or content
• Forecast future partnership needs and proactively research vendors and partners that could meet emerging Safeguards requirements
• Contract & Budget Management: Manage contracts across the Safeguards vendor and partner portfolio, working with legal and procurement teams on contract redlining, negotiation, and execution
• Work with legal teams and potential research partners to develop novel agreements for research collaboration, civil society consultation, and model red-teaming
• Handle invoicing, payment, and renewal processes with partners
• Own Safeguards vendor budget tracking and planning in partnership with finance teams, maintaining a clear picture of current spend and forecasting future needs
• Ongoing Vendor & Partner Management: Manage vendor and researcher access to models and products during testing phases and trials
• Oversee and monitor vendor performance and usage, flagging issues and resolving concerns and disputes as they arise
• Report on vendor performance, spend, and contract status to Safeguards leadership

Requirements:

• 5+ years in vendor management, procurement, or contract operations, ideally in risk, fraud, compliance, or trust & safety contexts at a technology company
• Demonstrated experience reviewing and negotiating contracts, including comfort with redlining and working alongside legal counsel
• Track record managing vendor budgets, including forecasting, tracking spend, and making tradeoff recommendations
• Understanding of AI safety, account abuse, or platform integrity issues , you know what verification vendors, threat intelligence providers, and content screening tools actually do
• Experience onboarding vendors and standing up new vendor relationships from scratch, not just managing existing ones
• Strong cross-functional collaboration skills, particularly with legal, procurement, finance, and engineering teams
• Comfort with ambiguity and fast-moving environments , you've built or significantly improved vendor management processes, not just inherited them

Nice to have:

• Experience in AI safety or AI-adjacent vendor ecosystems
• Familiarity with procurement tools such as Ironclad or Zip

Logistics:

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

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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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You will work at the intersection of AI safety and CBRN security, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against threat actors who may attempt to leverage our AI technology for developing weapons, synthesizing dangerous compounds, or creating biological harm.

Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.

Responsibilities:

• Detect and investigate attempts to misuse Anthropic's AI systems for developing, enhancing, or disseminating CBRN-E weapons, pathogens, toxins, or other threats to harm people, critical infrastructure, or the environment

• Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover sophisticated CBRN-E threat actors

• Develop CBRN-E-specific detection capabilities, including abuse signals, tracking strategies, and detection methodologies tailored to dual-use research concerns

• Create actionable intelligence reports on CBRN-E attack vectors, vulnerabilities, and threat actor TTPs leveraging AI systems

• Conduct cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported programs

• Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions

• Engage with external stakeholders including government agencies, regulatory bodies, scientific organizations, and biosecurity/chemical security research communities

• Inform safety-by-design strategies by forecasting how threat actors may leverage advances in AI technology for CBRN-E purposes

You may be a good fit if you

• Have deep domain expertise in biosecurity, chemical defense, biological weapons non-proliferation, dual-use research of concern (DURC), synthetic biology, or related CBRN-E threat domains

• Have demonstrated proficiency in SQL and Python for data analysis and threat detection

• Have experience with threat actor profiling and utilizing threat intelligence frameworks

• Have hands-on experience with large language models and understanding of how AI technology could be misused for CBRN-E threats

• Have excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners

• Can present analytical work to both technical and non-technical audiences, including government stakeholders and senior leadership

Strong candidates may also have

• Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or related field

• Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats

• Experience working with government agencies or in regulated environments dealing with sensitive CBRN-E information

• Background in AI safety, machine learning security, or technology abuse investigation

• Familiarity with synthetic biology, biotechnology, or dual-use research

• Experience building and scaling threat detection systems or abuse monitoring programs

• Active Top Secret security clearance

The annual compensation range for this role is $230,000-$290,000 USD.

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Mixpanel is a digital analytics platform that helps teams accelerate adoption, improve retention, and ship with confidence. It has over 29,000 customers, including Workday, Pinterest, LG, and Rakuten Viber.

About the Team ==============

Mixpanel Engineering is a small, fast-moving team focused on delivering real value to customers. We build powerful AI-powered product analytics while obsessing over clarity, simplicity, and delight. Engineers here own problems end to end. You can move across the stack to ship impact without being blocked by silos or heavy process.

Product innovation drives our business, and product engineering teams own that responsibility. The Infrastructure group focuses on high-scale customer data, operating as a force multiplier for the broader company as it moves toward an AI-first product. It comprises of four teams, Data Foundation, Query Engine, Data Storage and Data Activation.

Responsibilities ===============

Lead and build AI-first product experiences from inception to global scale.

Lead an engineering team and grow its scope over time. This role is for someone who loves developing people and unlocking their potential.

Build an exceptional team by hiring well, coaching deeply, and creating a culture where engineers feel ownership and pride in what they ship.

Shape direction alongside Product, turning big ideas into focused execution and helping teams move fast without losing quality.

Set the technical bar and protect the system. Depending on level, this may mean hands-on technical leadership or empowering tech leads with clarity and trust.

Requirements ============

10+ years engineering experience; 4+ years leading engineering teams

Experience building and running infrastructure supporting real-world, customer-facing web applications.

Experience building and using AI-powered products in production environments.

Proven collaboration with product managers and designers on meaningful infrastructure.

Strong judgment in technical tradeoffs, backed by lessons learned.

Evidence of leadership through influence, alignment, and growing others.

Director candidates must have experience managing managers.

Skilled at navigating ambiguity, making tradeoffs, and bringing clarity to complex org structures

High level of ownership, accountability, and product intuition

Additional Resources ====================

Engineering Life Page

Engineering Blog

Compensation ==========

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

Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations.

Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.

Mixpanel Compensation Range $279,000-$377,000 USD

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.

Conclusion ========

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.

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

Anthropic's AI models are available on both our first-party platforms (claude.ai and our API) as well as through our major cloud partners. Ensuring tight coordination between our internal teams and external partners is essential to our ability to stay on the frontier of AI development.

You will work closely with engineering, finance, and partnership teams to drive execution of technical roadmaps, support deal structuring, and manage the operational aspects of our compute partnerships.

This role combines technical program management with elements of strategic operations, partnership development, and financial analysis. You will be an integral part of a team focused on securing the compute resources Anthropic needs to pursue its mission of developing safe, beneficial AI systems.

Responsibilities:

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

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

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

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

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

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

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

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

You might be a good fit if you have:

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

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

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

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

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

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

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

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

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

Strong candidates may also have:

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

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

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

• Background in technical due diligence or technology M&A

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

Logistics:

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

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

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

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

How we're different:

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

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

Come work with us!

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

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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.

We protect and accelerate 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.

Available Locations:

Austin, TX | Lisbon, Portugal | London, UK

About the Department

Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers.

Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.

About the Team

The Workers Runtime team delivers features and improvements to our Runtime which actually executes customer code at the edge. We care deeply about increasing performance, improving JS API surface area and compiled language support through WebAssembly, and optimizing to meet the next 10x increase in scale.

The Runtime is a hostile environment - System resources such as memory, cpu, I/O, etc need to be managed extremely carefully and security must be foundational in everything we do.

What you'll do

We are looking for a Systems Engineer to join our team. You will work with a team of passionate, talented engineers that are building innovative products that bring security and speed to millions of internet users each day.

You will play an active part in shaping product features based on what’s technically possible. You will make sure our company hits our ambitious goals from an engineering standpoint.

You bring a passion for meeting business needs while building technically innovative solutions, and excel at shifting between the two,understanding how big-picture goals inform technical details, and vice-versa.

You thrive in a fast-paced iterative engineering environment.

Examples of desirable skills, knowledge and experience

• At least 2 years of recent professional experience with C++ or Rust.
• Solid understanding of computer science fundamentals including data structures, algorithms, and object-oriented or functional design.
• An operational mindset - we don't just write code, we also own it in production.
• Deep understanding of the web and technologies such as web browsers, HTTP, JavaScript and WebAssembly.
• Experience working in low-latency real time environments such as game streaming, game engine architecture, high frequency trading, payment systems.
• Experience debugging, optimizing and identifying failure modes in a large-scale Linux-based distributed system.

Bonus Points

• Experience building high performance distributed systems in Rust.
• Experience working with cloud platforms, especially server-less platforms.
• Experience with the internals of JS engines such as V8, SpiderMonkey, or JavaScriptCore.
• Experience with standalone WebAssembly runtimes such as Wasmtime, Wasmer, Lucet, etc.
• Deep Linux/UNIX systems, kernel, or networking knowledge.
• Contributions to large open source projects

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 election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.

We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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About Dialpad

Dialpad is the AI-native business communications platform that unifies calling, messaging, meetings, and contact center on a single platform. With over 70,000 companies worldwide relying on Dialpad, we're leading the shift to Agentic AI: intelligent agents that automate workflows, resolve customer issues, and accelerate revenue in real-time.

Your Role

As a Salesforce Technical Administrator, you'll own the administration, configuration, and day-to-day reliability of our Salesforce CRM environment, including key CPQ and sales support workflows. You'll work closely with Salesforce Engineers, Systems Analysts, developers, and internal stakeholders to deliver scalable functionality, troubleshoot platform issues, and improve the systems that support our global Sales teams.

Responsibilities

• Own advanced Salesforce administration and configuration across page layouts, fields, objects, validation rules, permissions, and sharing models.
• Build and enhance automation using Record-Triggered Flows, Screen Flows, and Autolaunched Flows to streamline business processes.
• Support Salesforce CPQ administration, including pricing waterfall logic, price rules, product rules, and advanced approvals.
• Troubleshoot issues across configuration, CPQ, integrations, pricing, quoting, and data quality to keep the platform running at speed and with accuracy.
• Resolve production issues and support cases within defined SLAs using structured incident management practices.
• Partner with developers on more complex requirements and contribute basic Apex, LWC, Visualforce, and SOQL-based solutions for minor enhancements and troubleshooting.
• Support deployments and release activities using tools such as Copado, including migrating configuration and minor code changes through agile sprint cycles.
• Maintain strong platform documentation, capture recurring issues and solutions, and apply Salesforce best practices for scalability and maintainability.

Requirements

• A bachelor's degree in a technical discipline or equivalent professional experience.
• 4+ years of Salesforce administration and support experience in a complex, integrated enterprise environment.
• Salesforce Administration expertise in Sales Cloud, including strong experience with configuration, Flows, and the Salesforce security model.
• Hands-on knowledge of Salesforce CPQ processes and the ability to support pricing and quoting operations end-to-end.
• Working knowledge of Salesforce development concepts such as Apex, LWC, Visualforce, and SOQL, along with experience operating in agile delivery environments.
• Experience with Salesforce data management, including migrations, retention, data quality, and issue resolution in integrated enterprise systems.
• Familiarity with tools such as Outreach, Marketo, Git, Workrails, Jira, and Copado.
• Strong analytical, problem-solving, and communication skills, with the ability to manage a high volume of requests across stakeholders with different levels of technical expertise.

Why Join Dialpad

• Work at the center of the AI transformation in business communications
• Build and ship agentic AI products that are redefining how companies operate
• Join a team where AI amplifies every employee's impact
• Competitive salary, comprehensive benefits, and real opportunities for growth

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential. We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection. Our exceptional culture, repeatedly recognized as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.

Don't meet every single requirement? If you're excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn't meet every qualification, we encourage you to apply. Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

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You will engage with new hires, current team members, and sales leaders to enhance their understanding of Stripe's products and sales strategies. You'll collaborate closely with cross-functional teams to ensure that training content is not only informative but also engaging and relevant.

Responsibilities:

• Lead onboarding and 101/201 live training sessions, ensuring an engaging and effective training experience for new hires
• Organize and facilitate sales skills workshops to uplevel seller performance in our SF hub
• Be prepared to travel to other areas of your region and support virtual delivery for the APAC team
• Build strong relationships with stakeholders to identify their unique enablement needs and sales skills gaps
• Collaborate with subject matter experts to develop engaging training materials, including presentations, role-plays, and interactive exercises that enhance efficiency and drive business outcomes
• Tailor content and information to various roles, segments, and sales motions, demonstrating empathy for sellers
• Assess training effectiveness through participant feedback and performance metrics, iterating on content and delivery methods as needed
• Provide ongoing coaching and support to sales team members to reinforce learning and drive continuous improvement
• Represent a macro-optimistic exothermic team and be the first face many see as an onboarding trainer
• Help drive a learning culture at Stripe by building strong relationships with stakeholders in your region

Requirements:

• 8+ years of experience in sales, sales enablement, or a related field, with a focus on onboarding or skills development
• A passion for teaching, a strong grasp of adult learning principles, and the ability to deliver engaging, hands-on programs while representing a positive and collaborative team
• Proven ability to design and deliver engaging training sessions, both virtual and in-person
• Experience coaching and delivering value selling or solution selling programs
• Excellent communication and presentation skills, with the ability to work cross-functionally with senior leaders and subject matter experts and to quickly convey complex concepts in simple terms
• Strong organizational skills and attention to detail, with the ability to manage multiple training initiatives simultaneously
• Experience in sales environments, ideally with an understanding of SaaS or financial technology solutions
• A proactive and adaptable mindset, capable of navigating ambiguity and changing priorities

Preferred Qualifications:

• Experience in a fast-paced, dynamic sales environment with a focus on quota attainment
• Familiarity with learning management systems (LMS) and e-learning tools
• Strong facilitation skills with experience in coaching and mentoring
• Certification in training methodologies or instructional design (e.g., ATD, CPLP, etc.) is a plus

At Stripe, we believe in nurturing talent and providing opportunities for professional growth. If you’re an enthusiastic and experienced training facilitator with a passion for empowering sales teams, we would love to hear from you!

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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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This role requires you to lead with vision, driving strategic initiatives that blend design excellence with customer empathy and innovation.

Key responsibilities include defining high-level opportunities with the Design Director, taking ownership of strategic design-led projects, and collaborating with the Design, Product, and Engineering Directors to align strategic design initiatives with company goals.

Requirements include 8-10+ years in a senior Individual Contributor role, a portfolio showcasing significant contributions to shipping customer experiences, and demonstrated ability to work cross-functionally with various stakeholder groups.

Preferred qualifications include proven ability to lead design efforts in remote or distributed team environments, background working with AI-powered tools or interfaces, and experience scaling onboarding, freemium, or pricing flows in self-serve SaaS environments.

In close partnership with the design director, you will help shape and execute the broader design strategy, influencing product strategy across the team and ensuring alignment with business goals.

You will work with the broader design organization to ensure that all designs are executed to the highest standards of craftsmanship and usability, focusing on simplifying complex workflows that simplify user experiences for multiple customers.

Compensation: $178,500-$241,500 CAD per year.

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The TPM will be responsible for leading the SOX program, including onboarding, risk assessments, and control design for new features and significant engineering changes. They will also identify SOX risks and key controls, maintain the RCM, and oversee ITGCs and ITACs design and operating effectiveness.

The ideal candidate will have a proven track record of supporting product and engineering organizations, strong understanding of ITGCs, application controls, and risk assessments, and hands-on experience with SOX 404 control design, testing, issue management, and audit readiness.

In addition to the above responsibilities, the TPM will serve as the primary liaison to Internal and External Audit on technology- and product-related SOX matters, continuously improve the SOX program through metrics, automation, and monitoring, and track and resolve control issues, identify systemic gaps, and drive durable improvements to prevent recurrence.

If you're a motivated and experienced professional looking for a challenging role, please apply!

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Your responsibilities will include leading composite production operations, driving production excellence, championing quality and safety, developing and mentoring talent, leading continuous improvement, and ensuring clear and strategic communication of production priorities, progress, potential risks, and resource requirements to senior leadership and cross-functional stakeholders.

Required qualifications include a minimum of 7 years of progressive experience in advanced composite manufacturing and production environments, including at least 3 years in a direct leadership or management capacity. Demonstrated mastery of ERP and MES systems, coupled with a deep, practical understanding and application of NPI (New Product Introduction) processes, Lean manufacturing principles, and change management (ECOs) is also essential.

Preferred qualifications include composite materials and fabrication processes, exceptional ability to interpret and apply complex technical documentation specific to composites, and experience capturing key shop floor metrics (like OEE) and driving actions to improve them.

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