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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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the first member of our Revenue Strategy & Operations team in Korea, you'll be instrumental in driving revenue growth by partnering with sales leadership to develop and execute Korea‑specific strategies. You will be the trusted advisor to our Korea Country Manager on how the business is planned and run — shaping how we win in Korea, from the country's largest enterprise groups to its fastest‑growing technology companies — while building the operational foundations to scale. Much of the work you will do yourself, hands‑on. This role suits a structured thinker who is comfortable with ambiguity: you will often start from an open question, turn it into clear analysis and a recommendation, and then bring people who don't report to you along to act on it. You'll work closely with Strategy & Operations peers in Japan, India, Australia and Singapore, with global Revenue Operations and Finance, and you'll use Claude every day to do the work of a much larger team. This is a senior individual‑contributor role with no direct reports initially. You'll report to the head of Revenue Strategy & Operations for Asia‑Pacific (based in Sydney), work day to day alongside the Korea Country Manager and sales team in Seoul, and travel occasionally within the region. Key responsibilities Go-to-Market Operations: Own annual and quarterly go‑to‑market planning for Korea — targets, territories and sales capacity — in partnership with Finance and sales leadership. Develop how we segment the market and design territories, from Korea's large enterprise groups (conglomerates and their affiliates) to mid‑sized enterprises and fast‑growin

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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic Fellows Program overview The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience. Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers. We run multiple cohorts of Fellows each year and review applications on a rolling basis. Submit your application to the Economics & Policy workstream at the bottom of this page. We are accepting applications on a rolling basis for the next cohort expected to start in January 2027. In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the January 2027 start date doesn't work for you. What to expect 4 months of full-time research Direct mentorship from Anthropic researchers Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country) Substantial funding for compute and other research expenses Interview process The interview process will include an initial application, assessments, and interviews. We may ask for references later in the process as well. 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 i

About the Role The Data engineering team has been created keeping in mind the importance and criticality of data for the overall success of Chime. The mission of this group is to build scalable data artifacts and insights that enable accurate, governed, data-driven decision-making.. As a core member of the team, you will have the opportunity to build scalable data pipelines and frameworks. Additionally, you will have the unique opportunity to architect and build workflows that could potentially become de facto standards for the fintech industry. In this role, you can expect to Be a hands-on data engineer, building, scaling and optimizing ETL pipelines Design data schemas and scale them data for 10x data growth Ownership of all aspects of data - data quality, data governance, schema design, data quality and security Develop scalable data architecture and standardized data models that enable self-serve data insights using AI. Own the ETL workflows and make sure the pipeline meets data quality and availability requirements Work closely with partner teams, like Data Science, Analytics and DevOps To thrive in this role, you have 5+ years experience transforming data to governed and lucid datasets 5+ years of hands-on experience to build and deploy production-quality data pipelines 5+ years of experience working with stakeholders to provide business insights 5+ years of experience writing SQL, Spark, AWS Glue, EMR, Airflow, Python 3+ years of hands-on experience using any MPP database system like Snowflake, AWS Redshift or Teradata Track record of successful partnerships with Analytics, Data Science and DevOps teams Understanding of key metrics for data pipelines and has built solutions to provide visibility to partner teams Engineers are required to participate in on-call rotation. Being on call may include responding to incidents outside of regular working hours when necessary. #LI-Onsite #LI-WW1 Below is the base salary offered for t

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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run. Responsibilities Build and improve the RL training infrastructure that researchers depend on day-to-day Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster Own the reliability and performance of research runs end-to-end Contribute to design decisions that shape how Anthropic does RL at scale You may be a good fit if you Have strong software engineering fundamentals and a track record of building performant, reliable systems Have worked on ML infrastructure, distributed systems, or research tooling Care about enabling other people's work and find leverage through platforms rather than individual experiments Are comfortable operating across the stack, from low-level performance work to RL algorithms Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego Strong candidates may also have Experience with large-scale distributed training (RL, pre-training,

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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run. Responsibilities Build and improve the RL training infrastructure that researchers depend on day-to-day Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster Own the reliability and performance of research runs end-to-end Contribute to design decisions that shape how Anthropic does RL at scale You may be a good fit if you Have strong software engineering fundamentals and a track record of building performant, reliable systems Have worked on ML infrastructure, distributed systems, or research tooling Care about enabling other people's work and find leverage through platforms rather than individual experiments Are comfortable operating across the stack, from low-level performance work to RL algorithms Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego Strong candidates may also have Experience with large-scale distributed training (RL, pre-training,

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It’s why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It’s why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it’s why our business strategy centers on making journalism so good that it’s worth paying for. The Editor, Audience – A.I. and Emerging Platforms will ensure our journalism and content are surfaced with permission on A.I. platforms with the precision, context and editorial standards our readers expect. They will also serve as the crucial bridge between the newsroom, Partnerships, Legal and the A.I. Initiatives team in shaping and managing relationships with A.I. platforms from an audience perspective. The right person has worked in newsrooms, has a deep understanding of A.I. technology and shifting behavioral trends and can identify editorial opportunities and reputational risks. They’re also quantitative and measurement-driven and will help us develop sophisticated ways to measure our editorial interventions. This is an in-office position, based in New York City and includes regular attendance in the office four days each week. There may be some flexibility to work remotely per your departmental guidance. Responsibilities Identify new surfaces, features or platforms to distribute our journalism, experiment with programming strategies and report on the results Act as newsroom adviser alongside the Partnerships team when assessing potential agreements with A.I. companies, ensuring any use of journalism on external platforms aligns with editorial values, newsroom priorities and audience goals Provide regular insights to leadership on how A.I. discovery is impacting the traditional audience funnel – and what kind of audience strate

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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic sits at the frontier of AI development, which makes us one of the most interesting targets in the world for nation-state and advanced criminal actors. The Threat Intelligence function within our Detection & Response team exists to make sure we see them coming. As a Threat Intelligence Engineer, you'll be a hands-on practitioner responsible for producing the actionable intelligence that drives our detections, hunts, and defensive priorities. You'll track the adversaries most likely to target a frontier AI lab, build the tooling and pipelines that turn raw indicators into operational defenses, and work shoulder-to-shoulder with detection engineers and incident responders to make sure intelligence actually changes outcomes. This is a builder's role on a small, high-leverage team — you'll have broad latitude to shape how threat intelligence is collected, analyzed, and operationalized at Anthropic. Responsibilities: Research, track, and report on threat actors and campaigns targeting AI labs, cloud infrastructure, and the broader technology sector — producing timely, actionable intelligence for Security Engineering stakeholders Build and maintain tooling and automated pipelines to collect, enrich, correlate, and operationalize indicators of compromise into our detection and alerting stack Develop and execute intelligence-driven threat hunts across endpoint, cloud, identity, and SaaS telemetry, and turn findings into durable detections Perform technical analysis of malware, phishing infrastructure, and attacker tooling to extract indicators, TTPs, and attribution signals Partner with Detectio

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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Federal Civilian Account Executive - Commerce & Interior at Anthropic, you'll drive the adoption of safe, frontier AI across federal civilian agencies such as the Department of Commerce (DOC) and Department of the Interior (DOI). You'll leverage your deep understanding of federal civilian operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the federal civilian market while maintaining the highest standards of security and compliance. Responsibilities: Drive new business and revenue growth specifically within federal civilian agencies, owning the full sales cycle from initial outreach through deployment Navigate the unique requirements of federal civilian procurement, including FAR/DFAR compliance, security standards, and agency-specific regulations Build and maintain relationships with key decision-makers across federal civilian agencies, becoming a trusted advisor on AI capabilities and implementation Develop and execute strategic account plans that align with agency missions and modernization initiatives Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet federal civilian requirements Create and maintain sales playbooks specific to federal civilian use cases and procurement processes Take a leade

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. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Federal Civilian Account Executive - Transport & Land at Anthropic, you'll drive the adoption of safe, frontier AI across federal civilian agencies such as the Department of Transport (DOT), USDA, HUD and GSA. You'll leverage your deep understanding of federal civilian operations and consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll help refine our approach to the federal civilian market while maintaining the highest standards of security and compliance. Responsibilities: Drive new business and revenue growth specifically within federal civilian agencies, owning the full sales cycle from initial outreach through deployment Navigate the unique requirements of federal civilian procurement, including FAR/DFAR compliance, security standards, and agency-specific regulations Build and maintain relationships with key decision-makers across federal civilian agencies, becoming a trusted advisor on AI capabilities and implementation Develop and execute strategic account plans that align with agency missions and modernization initiatives Coordinate closely with cloud service providers (AWS, GCP) and system integrators to ensure successful deployment and integration Provide detailed market intelligence and customer feedback to product teams to ensure our offerings meet federal civilian requirements Create and maintain sales playbooks specific to federal civilian use cases and procurement processes Take a leadership role in growin

Perplexity is looking for product managers to join a highly leveraged, small team for building new products that innovate to accelerate human productivity. In 2026, we launched Computer, the defining product for the new era of agentic AI. We’ve scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. Product managers at Perplexity work closely with design and engineering, focusing on the core Computer and search experience. The ideal candidate should have strong communication and writing skills, the ability to envision innovative technology, and willingness to reimagine work to be more efficient and creative. Ideal candidates have a passion in a particular industry that they are domain experts in: in the application please highlight which industry you are most interested in innovating. What you'll do Anticipate opportunities for innovation and value in enterprise industries. Envision new experiences and deliver a long-term vision. Understanding of levers for product-led growth and retention. Work closely with engineering and design to align product expectations and capabilities. Work with research to evaluate and steer nondeterministic models into the high value outcomes for users. Work with data and user research to understand quantitative and qualitative data. Have conviction to make difficult product decisions in the face of uncertainty. Qualifications Strong experience with product management and leadership. Strong experience working with data and metrics. Experience with productivity and knowledge work products. Experience with prototyping and data visualization. Experience with building data driven flywheels for iterative improvement. Thrives in a small, agile team: has initiative and desire for ownership. 4+ years of product management experience. Our Mission Perplexity’s mission is to power curiosity. Curious people are the people who dr

JOB TITLE SOFTWARE ENGINEER, TECHNOLOGY A CAREER WITH POINT72'S TECHNOLOGY TEAM As Point72 reimagines the future of investing, our Technology team is constantly improving our company’s IT infrastructure, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts experimenting, discovering new ways to harness the power of open-source solutions, and embracing enterprise agile methodology. We encourage professional development to ensure you bring innovative ideas to our products while satisfying your own intellectual curiosity. WHAT YOU'LL DO We are looking for an experienced professional to work as part of the Finance Technology team. In addition to tactical development, you will be responsible for delivering and creating programs to modernize and scale the platform through technology upgrades, cloud technology adoption, and re-architecting business processes. You will work alongside world-class engineers, partnering directly with Finance stakeholders to understand existing workflows and deliver scalable replacements. This position offers deep domain exposure across FP&A, investor reporting, and compensation, and contributes to the modernization roadmap. Specifically, you will: Build software applications and deliver software enhancements and projects supporting finance and investor processing. Work closely with business stakeholders to develop software solutions using test-driven and agile software development methodologies. Be responsible for system upgrades and features supporting resiliency and capacity improvements, automation and controls, and integration with internal and external vendors and services. Contributing to architecture of core platforms and accelerating modernizing leveraging AI tools Work with DevOps teams to manage and resolve operational issues and leverage CI/CD platforms while following DevOps practices within the team and projects. Continuously improve the platforms using th

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Responsibilities: Lead process integration (PI) structural uniformity and cross‑loop integration for critical modules (e.g., capacitance loop), owning end‑to‑end integration strategies to resolve yield, quality, and reliability gaps. Drive physics‑ and process‑based integration solutions through close collaboration with cross‑module process owners, PI subject‑matter experts, and key suppliers to optimize integration structures and achieve BIC yield and quality targets . Develop and apply model‑based root cause analysis frameworks (transport, reaction kinetics, pattern density, and geometry‑dependent effects) to diagnose structural non‑uniformity. Define, implement, and continuously strengthen critical inline monitoring and defense lines (CD, film loss, mass delta, defectivity, edge/periphery metrics) to ensure robust control of structural uniformity. Own and advance product integration programs and loop‑level domain expertise , maintaining deep technical knowledge across node transitions. Proactively drive node‑over‑node “shift‑left” integration , including early implementation of uniformity, bevel, and backside best‑known‑methods (BKMs) during development phases to accelerate whole‑wafer (center‑to‑edge) yield and quality ramp. Drive worldwide technical alignment and execution excellence by leading global projects, standardizing and leveraging network BKMs, and scaling proven solutions across sites. Identify efficiency and perfo

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Heterogeneous Integration Group (HIG) sits within the Technology and Products Group (TPG). We are developing High Bandwidth Memory (HBM) solutions for AI and ML applications! We stack multiple DRAM chips on a high-speed memory controller using TSV (Through Silicon Via) technology, dramatically increasing memory density and bandwidth. Our designs span custom digital and RTL2GDS flows, and we are targeting the lowest power per bit in the industry. Join us as a Senior Verification Engineer and contribute to modular, scalable verification solutions for next-generation HBM DRAM products! You will work independently within a multi-functional team of technical domain experts, spanning both IP-level and SoC-level verification. You will collaborate with Design Engineering, Product Engineering, and Business Units to complete the HBM verification roadmap. You will apply your solid understanding of testbench architecture, custom or SoC verification methodologies, and 2.5D & 3D package integration to evaluate issues, define solutions, and broaden your expertise. Responsibilities: Develop and implement verification plans and architecture collateral across IP-level and SoC-level verification for current and future HBM designs Support co-verification of the overall system and participate in customer interactions to gather feedback and provide recommendations for future HBM solutions Build and improve verification methodology components and GenAI applications aligned to HBM design cycles, broadening cross-disc

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Responsibilities: Lead process integration (PI) structural uniformity and cross‑loop integration for critical modules (e.g., capacitance loop), owning end‑to‑end integration strategies to resolve yield, quality, and reliability gaps. Drive physics‑ and process‑based integration solutions through close collaboration with cross‑module process owners, PI subject‑matter experts, and key suppliers to optimize integration structures and achieve BIC yield and quality targets . Develop and apply model‑based root cause analysis frameworks (transport, reaction kinetics, pattern density, and geometry‑dependent effects) to diagnose structural non‑uniformity. Define, implement, and continuously strengthen critical inline monitoring and defense lines (CD, film loss, mass delta, defectivity, edge/periphery metrics) to ensure robust control of structural uniformity. Own and advance product integration programs and loop‑level domain expertise , maintaining deep technical knowledge across node transitions. Proactively drive node‑over‑node “shift‑left” integration , including early implementation of uniformity, bevel, and backside best‑known‑methods (BKMs) during development phases to accelerate whole‑wafer (center‑to‑edge) yield and quality ramp. Drive worldwide technical alignment and execution excellence by leading global projects, standardizing and leveraging network BKMs, and scaling proven solutions across

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Responsibilities: Lead PI loop structural uniformity integration and cross loop integration projects for critical loops such as Capacitance loop to address yield and quality challenges, collaborating with cross module process/PI technical experts and suppliers to improve integration structures to achieve BIC yield performance. Build Model based root cause analysis and enhance critical inline defense line for structure including uniformity. Maintain and enhance product integration programs or loop domain knowledge and technical expertise, explore innovation opportunities with strategic thinking and systematic approach. Node over node shift left uniformity, bevel and backside BKM implementation at early development stage to accelerate wafer overall and edge yield and quality ramping. Promote worldwide synergy for improved benchmark performance and efficiency gains through global project management and execution, network BKM leveraging and enhancement, and business process creation and re-engineering. Job Requirements: Good logical thinking and knowledge in Semiconductor Fabrication process flows, interaction of different processes and how changes affect yield, device performance and reliability. Understanding of DRAM and NAND operation and structure to decipher parametric, probe and qual data from both front end and backend assembly process. Good model based problem solving together with data driven decision making, and presentation skills. Proven abili