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Location: Salt Lake City, Utah, United States About the Role iCapital is seeking a detail-oriented and technically capable Analyst or Associate to join Strategic Transformation team. This individual will own root-cause investigations of production data issues, contribute to ETL pipeline development, and act as the primary liaison between Fund Finance operations and engineering. This role will help define requirements, drive data quality initiatives, and build the tooling and dashboards that give stakeholders real-time visibility into exceptions and resolution status. The Strategic Transformation Data team is an embedded data function within Fund Finance at iCapital. This team partners directly with Fund Operations, Technology, and Product teams to resolve data quality issues, build ETL pipelines, and deliver automation tooling that enables the business to scale. The team sits at the intersection of data engineering, business analysis, and operational transformation. Responsibilities Perform root-cause analysis of production data issues using SQL, working cross-functionally with engineering and operations teams to drive resolution. Support and contribute to ETL pipeline development, collaborating closely with Product managers and engineers throughout the development lifecycle. Serve as the primary liaison between fund administrators, business groups, and technology teams to manage and resolve data exceptions and discrepancies. Develop exception management tooling to strengthen data quality controls and produce metrics and dashboards that help stakeholders prioritize issue resolution. Define clear business and technical requirement documents for engineering teams addressing new features or existing issues. Build an in-depth understanding of end-to-end organizational data flows and their downstream impact on Fund Finance business processes. Write test cases and perform UAT to ensure issues are identified and addressed before production deployment. Identify and contribute to automation initiatives that reduce manual intervention in recurring data workflows, including reconciliation, ingestion monitoring, and exception handling. Formalize operational knowledge into structured documentation, enabling the team to scale independently of individual expertise. Own the end-to-end delivery of data initiatives supporting Fund Finance, Transactional Operations, and Investor Relations workflows, partnering with Product Managers and internal stakeholders to define scope, gather business requirements, translate needs into technical solutions, and drive implementation for both existing workflows and new product features Serve as a subject matter expert on data workflows and platform functionality, independently advising internal teams on data dependencies, product functionality, and operational impacts Qualifications 2+ years of experience in a business analyst, data support, or application support role within financial services Bachelor’s degree or higher in computer science, business analytics, business administration, finance, or a related field Proficiency in SQL for data analysis, investigation, and root-cause diagnostics Strong relationship management skills with the ability to build partnerships and work effectively across internal teams, fund administrators, vendors, and other external stakeholders Proven ability to balance multiple projects, priorities, and stakeholder conversations across different teams and business functions Proven ability to perform structured root-cause analysis and coordinate with engineers through investigation and resolution Strong analytical and problem-solving skills, with the ability to translate complex data issues into clear business language Excellent communication and stakeholder management skills and comfortable working across technical and non-technical audiences Experience with private equity, hedge fund, or alternative investment operations and data Familiar with ETL pipeline concepts, data ingestion patterns, or workflow automation Experience writing Jira tickets or structured requirement documents for engineering teams Exposure to AI-assisted tooling or automation frameworks and Python are a plus Benefits The base salary range for this role is $70,000 to $85,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: United States - Remote; Chicago, IL; Texas - Remote; Boston, MA; Florida - Remote; Minneapolis, MN; Michigan - Remote; Canada - Remote Workplace: remote About the Role The Azul Sales Engineer is a hands-on, deeply technical pre-sales leader responsible for delivering the technical win across opportunities within their territory. Azul sells to the most demanding Java estates in the world — enterprises running mission-critical, high-throughput, latency-sensitive applications on the JVM — so this role demands genuine engineering depth, not just presentation polish. A Sales Engineer earns credibility with engineers, architects, and executives alike by getting hands on: running technical evaluations in the customer’s own environment, tuning the JVM, interpreting GC and performance data, and translating measurable technical outcomes into clear business value. Beyond individual deals, the Sales Engineer uses their experience to mentor and uplevel the broader SE team. What You'll Do (aka Responsibilities) Own the technical win. Drive pre-sales engagements end to end — discovery of the prospect’s business and technical challenges, mapping Azul portfolio capabilities to those challenges, and validating the solution through demonstration and hands-on proof. Lead hands-on pilots. Design, scope, and personally execute product pilots and proofs-of-concept inside the customer’s existing environment: installing and configuring the JVM, running representative workloads, and capturing empirical results the customer trusts. Prove performance. Plan and run performance-focused engagements: establish benchmarks and success criteria, measure latency, throughput, GC pause behavior and resource efficiency, analyze GC and JIT logs, tune JVM settings, and quantify the improvement Azul delivers against the incumbent. Win at enterprise scale. Navigate complex, multi-stakeholder enterprise engagements (large production estates, strict SLAs, security and compliance review, and long procurement cycles) coordinating technical validation across many teams and environments. Present at every altitude. Deliver presentations and demos across all technical levels, from CxOs to hands-on developers, to “make the complex simple” and communicate Azul’s value to each audience. Respond to technical requirements. Understand and respond to solicited and unsolicited proposals (RFI/RFP) by aligning Azul capabilities against detailed technical and business requirements. Orchestrate the extended team. Engage Product Management, Engineering, and the CTO office as needed to remove technical blockers and secure the win. Partner on territory strategy. Work alongside your Account Executive(s) on territory planning: pipeline generation, growing existing accounts, and enabling partners. Grow and retain customers. Nurture existing clients to promote customer success and to create new upsell and cross-sell opportunities. Evangelize. Present at conferences, workshops, and roadshows to raise awareness of the Azul portfolio and build funnel. Mentor the team. Provide expert assistance to other SEs on pilot planning and execution, run training sessions, and serve as a primary mentor to onboarding SEs. Be a trusted advisor. Advise your manager on product, territory, and team matters. Technical Competencies These are the core technical strengths that define a successful Sales Engineer at Azul: Java & the JVM. Deep, hands-on knowledge of Java internals and the JVM: class loading, JIT compilation, memory model, and garbage collection. Able to read and reason about GC logs and runtime behavior, not just describe them. Performance engineering. Practical experience benchmarking, profiling, and tuning JVM-based applications for latency, throughput, and scale; comfortable diagnosing GC pauses, warm-up, jitter, and resource-efficiency issues in production-like conditions. Hands-on aptitude. Confident on the command line and in customer environments: installing, configuring, and troubleshooting runtimes; able to build and run a POC independently. Enterprise application stacks. Solid understanding of Java-based applications and frameworks that run on or alongside Azul products (e.g., Cassandra, Kafka, Solr, Spring). Cloud & containers. Working knowledge of cloud platforms (e.g., AWS, Azure, GCP) and container/orchestration technologies (e.g., Docker, Kubernetes). Portfolio SME. Demonstrate SME-level depth and breadth across the entire Azul product suite, and continuously grow technical acumen through enablement, hands-on experimentation, and self-study. What You'll Bring Qualifications 5+ years in a Sales Engineering / pre-sales role supporting enterprise software, ideally in the Java, middleware, performance, or infrastructure space. 3+ years of hands-on Java development or testing experience with a demonstrable command of Java architecture. Proven track record of hands-on pilots and POCs and of performance-related engagements where you measured and demonstrated technical results in a customer environment. Experience selling into large enterprises — complex, multi-stakeholder, mission-critical production environments. Bachelor’s degree (or equivalent) in Software Engineering, Computer Science, or a related IT discipline; a master’s or higher in an IT or business discipline is a plus. Working knowledge of cloud and container technologies (e.g., AWS, Docker/Kubernetes). Solid knowledge of sales process and CRM (MEDDICC and Salesforce preferred). Willing and able to travel up to 30%. Fluent in your territory’s primary language, with strong professional English. Skills & Attributes Strong oral and written communication, effective one-on-one and in front of large groups. Proven critical-thinking and problem-solving skills; able to solve complex technical challenges with minimal supervision. Highly organized, detail-oriented, with excellent time management. Highly professional and ethical. Thrives in a fast-paced environment and can multitask across client challenges, meetings, and team needs, occasionally outside normal business hours. Collaborates across disciplines, with the EQ to understand multiple perspectives toward a common goal. A proven winning record. #LI-MD1 What we Offer ·         Comprehensive compensation and healthcare packages ·         Referral Program ·         Work-life balance, remote-first, paid time off, company shutdown, holidays ·         Work with top experts worldwide whom contribute to the Java ecosystem   Our Culture & Values   ·         Maniacal Customer Focus ·         Innovation & Excellence ·         Initiative & Courage ·         Impact & Influence ·         Integrity & Transparency ·         Diversity, Inclusion & Teamwork   Azul participates in E-Verify. As a US employer, Azul Systems, Inc. uses E-Verify to confirm the employment eligibility of all newly hired employees working in the United States. For more information about E-Verify, please visit www.e-verify.gov.   Employment at Azul is contingent upon the completion of reference and background checks. We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job $150,000-$175,000.  This job is also eligible for commission/variable pay.  Individual base salaries are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our benefit package includes medical and dental coverage, equity participation plan, 401(k) plan, and a wide range of paid time off options.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. We are seeking a Senior Software Engineer, Data Platform to build and evolve the foundational infrastructure that powers our data platform, lakehouse, and real-time data systems. In this role, you will partner closely with data engineers, ML platform engineers, software engineers, and data scientists to design, develop, and operate the core services and workflows that enable reliable, scalable, and efficient data movement across the organization. As a senior individual contributor, you will own critical parts of the platform end to end - from architecture and implementation to reliability, observability, and operational excellence. You will help shape the technical direction of WHOOP’s data ecosystem, improve developer experience for internal data consumers, and ensure our systems can support analytics, machine learning, and product innovation at scale.This role requires a strong ownership mindset, the ability to operate with minimal guidance, and a focus on delivering production grade systems. You are also expected to actively leverage AI assisted development tools to improve speed, quality, and maintainability, and to help set the standard for effective AI usage across the team. RESPONSIBILITES: - Design, build, and operate the core infrastructure and services that power WHOOP’s data platform, including lakehouse, warehouse, and streaming systems. - Improve the performance, reliability, and cost efficiency of our data systems, including Iceberg, Snowflake, and AWS-based data infrastructure. - Build and enhance internal tooling, APIs, and automation that improve platform usability and developer experience for data engineers, analysts, and data scientists. - Lead platform engineering best practices across CI/CD, infrastructure as code, testing, deployments, and operational readiness. - Strengthen observability and operational excellence through monitoring, alerting, incident response, and continuous improvement of production systems. - Partner cross-functionally with Data Science, Analytics, ML Platform, and Software Engineering teams to support scalable and efficient data workflows. - Drive best practices for data architecture, pipeline design, governance, and platform usage across the company. - Leverage AI tools to accelerate development, improve code quality, and enhance debugging and documentation workflows QUALIFICATIONS: - BS in Computer Science, Engineering, or equivalent experience - 5+ years of experience in data engineering, platform engineering, or software engineering with significant ownership of production data systems. - Strong proficiency in Python and SQL. Java experience is nice to have. - Experience designing and operating scalable data platforms, pipelines, or distributed data systems in production environments. - Hands-on experience with Snowflake and modern cloud data infrastructure. - Experience with AWS services such as S3, EKS, EMR, EC2, or related cloud-native infrastructure. - Experience with orchestration frameworks such as Airflow or Prefect. - Strong understanding of CI/CD, infrastructure as code, and DevOps practices for data platforms. - Ability to independently drive technical projects and own systems end to end with a high degree of autonomy. - Strong communication and collaboration skills, with the ability to work effectively across engineering and data teams. - Commitment to leveraging AI-assisted development tools thoughtfully and effectively, while maintaining a high bar for engineering quality. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000-$215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Belfast, Northern Ireland, Remote Workplace: remote Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, loyalty and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI. Your new role In this role, you’ll join as a Software Engineer on the ‘Core’ team, which is part of the wider ‘Order Engineering’ group. The Core team owns key parts of Olo’s platform, including baskets, orders, checkout, promotions, capacity management, and the services that power ordering experiences at scale. We build and maintain the APIs, services, and tools that brands and partners rely on to create reliable, flexible, and high-performing digital ordering experiences. As a Software Engineer on this growing team, you’ll play a key role in shaping the future of these systems. You’ll help guide technical decisions, improve platform reliability and scalability, contribute hands-on code, and mentor other engineers. This is an opportunity to have meaningful influence across a broad and business-critical area of the platform while helping evolve the architecture for the next stage of growth. On a management level, the team is led by a dedicated Engineering Manager who is based in Northern Ireland. How you’ll make an impact Develop an understanding of the ‘Core’ team's domain and technology stack and actively seek guidance to grow technical expertise. Handle small-to-medium features with support from more senior engineers, ensuring tasks are completed according to set timelines. Write code adhering to established coding standards and participate in code reviews to learn best practices. Collaborate with team members to understand feature requirements and implement solutions with guidance. Focus on building reliable and maintainable software components, contributing to team deliverables with a focus on quality. Utilise version control systems to manage code changes and maintain a consistent development workflow. Participate in team meetings and sprint ceremonies, such as daily stand-ups and sprint retrospectives, contributing updates and feedback. Engage in learning activities, including game days and training sessions, to build familiarity with the company's tools and processes. Troubleshoot and debug issues with guidance, learning to identify and resolve common software bugs. Demonstrate a willingness to collaborate with other engineers and stakeholders, developing teamwork skills necessary for larger projects. Demonstrate ownership of the team's delivery pipeline, ensuring that code quality, testing standards, and deployment practices are continuously optimised. Use Claude Code and GitHub Copilot extensively as part of your daily workflow, and grow your skills through hands-on AI training designed to help you become highly effective with modern AI coding agents and IDEs. Active participation in on-call duties is required, with specific responsibilities determined by your assigned team and area of expertise. What will set you up for success Bachelor’s Degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. At least 1.5 years of experience in a software engineering role. Programming Skills: Proficient in C#/.Net and familiar with basic programming constructs and design patterns. Version Control Systems: Basic understanding of version control tools (e.g., GitHub) and how to use them for source code management. Unit Testing: Familiarity with writing unit tests to validate small software components and test-driven development frameworks (e.g., NUnit, Jest). Distributed Systems Fundamentals: Basic understanding of how distributed systems work, focusing on building reliable components. Collaboration Tools: Experience using collaboration platforms for development, such as Jira, Confluence, and GitHub. About Olo   Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com. Applicant Privacy Notice (United Kingdom)

Location: San Francisco, CA | New York City, NY | Washington, DC 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 Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be account compromise: Anthropic's enforcement systems have to distinguish customers whose accounts have been compromised from actors abusing the platform — and today those two populations can look identical in the data. Stolen credentials and leaked keys are a growing abuse vector, and the collateral damage from enforcement against them lands on legitimate users. You'll own this problem end to end: detection, revocation, user notification, remediation, and the criteria for restoring access — turning what is today ad hoc incident response into a scalable, repeatable program. This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Key responsibilities Investigate credential-compromise incidents across first-party and third-party platforms, tracing actor behavior across accounts and surfaces Design and operate remediation workflows for compromised accounts: revocation, customer notification, and standards for restoring access Partner with Engineering and Data Science teams to improve how we separate compromised-customer traffic from willful abuse Enforce usage policies with a focus on detecting and mitigating potentially harmful use of AI systems Work with threat intelligence on emerging credential-abuse patterns and the actors behind them Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows Write the policy framework for compromise scenarios, including cases where Anthropic can't independently verify a customer's security posture Act as the enforcement SME when account compromise intersects with active abuse investigations Minimum qualifications Experience in trust and safety, fraud investigation, security operations, or a related field Subject matter expertise in one or more of: account takeover, credential abuse, session security, or incident response Experience designing or operating enforcement, remediation, or customer-recovery flows — not just detection Comfort using data (SQL or similar tools) to trace actor behavior across accounts and to measure what's working A thoughtful perspective on the tension between protecting the platform and restoring access for legitimate compromised customers Strong written communication skills, with experience producing clear briefs about messy incidents for technical and non-technical stakeholders Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams Preferred qualifications Familiarity with credential-theft ecosystems or threat intelligence tooling Experience working with fraud/risk vendors (e.g., device or network intelligence platforms) Experience with API platform abuse specifically, not just consumer-account ATO A deep interest in AI safety and responsible technology development Experience writing effective prompts for generative AI systems in a content review or enforcement context 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: $245,000 — $285,000 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. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Washington, DC 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 Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your focus will be driving a number of enforcement areas including access controls and identity verification. You'll own the policy layer of these systems: what we ask users for, when, on what grounds, and what passes. The work sits at the intersection of policy, operations, and regulatory exposure. This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Key responsibilities Set collection policy for identity signals: what we request, in which enforcement states, and what evidence reinstates access Improve verification program health — accuracy, appeal coverage, and consistency of outcomes Own access policy for hard cases, including geographic restrictions and reseller arrangements Run the operational queue for access-control cases alongside contractor support, authoring playbooks and QA'ing scaled review output Work with Legal, Public Policy, and Privacy stakeholders to keep our approach proportionate, privacy-preserving, and responsive to an evolving regulatory landscape Coordinate enforcement consistency with third-party platform partners Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows Stand up graduated enforcement in practice — verification requests, conditional reinstatement, and appeal pathways that satisfy regulatory requirements for automated decisions Minimum qualifications Experience in trust & safety, integrity, or risk policy work Hands-on operational experience — you've owned or quality-checked live enforcement queues, not only authored policy Subject matter expertise in one or more of: KYC, identity verification, age or identity assurance, or verification program operations Experience navigating evolving regulatory landscapes (including frameworks like the DSA and GDPR) as design constraints rather than blockers Experience driving cross-functional initiatives with Product, Engineering, Legal, and Policy partners — especially where safety, privacy, and usability tradeoffs need to be navigated together Comfort using data (SQL or similar tools) to measure what's working and inform decisions Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders Excellent judgment and the ability to make consistent, defensible calls on ambiguous cases Preferred qualifications Experience with graduated/tiered enforcement systems rather than binary ban models Experience with geographic access restrictions, sanctions screening, or reseller/channel policy Experience building or scaling a contractor review bench A deep interest in AI safety and responsible technology development Experience writing effective prompts for generative AI systems in a content review or enforcement context 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: $285,000 — $330,000 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. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Lagos, Nigeria Who We Are We’re a technology-driven financial services company committed to making financial inclusion count for millions of Nigerians. Through innovation and customer-centric solutions, we provide lending, savings, payments, and other financial products that help individuals and businesses thrive. The Position We are seeking an experienced and commercially astute Project Manager to lead the end-to-end implementation of Salesforce CRM across the business. This role will drive the full lifecycle of the Salesforce deployment, including solution design, stakeholder alignment, system integration, implementation, adoption, and optimization. A key focus will be ensuring seamless integration between Salesforce, Rencore, and Mambu to support customer management, loan origination, deposit onboarding, and card product workflows. As the Salesforce Champion, you will work closely with business and technology teams to deliver a platform that drives operational efficiency, customer experience, and business growth. Responsibilities Salesforce Project Delivery Lead full lifecycle Salesforce implementations and enhancements—from requirements gathering and solution design through configuration, integration, testing, data migration, training, go-live, and post-go-live optimization. Develop and manage detailed project plans, timelines, budgets, resource plans, and risk registers using Agile, Waterfall, or hybrid methodologies. Serve as the Salesforce Implementation Champion by building executive sponsorship, driving cross-functional alignment, and promoting user adoption across departments. Work closely with Salesforce architects, developers, administrators, and external implementation partners to deliver high-quality solutions. Facilitate workshops, process mapping, gap analysis, and requirements sessions to translate business needs into effective Salesforce configurations and automations. Lead change management, communication plans, and training programs to maximize user adoption and minimize resistance. Manage project budgets, vendor relationships, and resource allocation to deliver projects on time and within budget. Deliver the Salesforce CRM implementation aligned to business goals across the Loans, Deposits, and Cards business lines. Project Planning & Governance Develop and maintain a comprehensive project plan covering scope, milestones, resource allocation, risk management, and budget tracking. Establish governance structures including steering committee meetings, working groups, and cross-functional status reviews. Monitor and report project health metrics including RAG status, issue logs, dependency maps, and change control. Apply structured project management methodologies appropriate to the implementation context. Systems Integration & Technical Oversight Lead the design and delivery of the Salesforce → Rencore → Mambu integration model. Define data flow specifications, field mapping, and API integration requirements with architects and integration teams. Define and validate condition-based triggers governing when customer information is propagated into Mambu. Oversee data migration, system integrations, and quality assurance activities. Coordinate User Acceptance Testing (UAT), System Integration Testing (SIT), and regression testing cycles. Product Workflow Delivery Oversee Salesforce workflow design and configuration for Loans, Deposits, and Cards product lines. Ensure workflows align with regulatory, compliance, and operational requirements. Support: Loans : Lead capture, credit application intake, document collection stages, underwriting handoff, and disbursement triggers. Deposits : Account opening workflows, customer onboarding journeys, compliance documentation, and activation conditions. Cards : Card application management, eligibility checks, approval workflows, and fulfilment integration. Customer & Lead Data Management Define data governance standards for customers and lead information managed within Salesforce, including mandatory fields, data quality rules, and lifecycle stages. Establish validation frameworks that determine when a lead record matures into a customer profile eligible for downstream system population. Ensure the integrity and completeness of data migrated or created in Salesforce, with traceability into Rencore and Mambu. Stakeholder & Change Management Serve as the primary point of accountability for all Salesforce implementation workstreams with internal and external stakeholders. Manage relationships with implementation partners, Rencore technical teams, and Mambu integration support. Lead organisational readiness activities, including training programmes, process documentation, and adoption tracking. Proactively manage stakeholder expectations and escalate risks or blockers through appropriate governance channels. Compliance & Regulatory Alignment Ensure the implementation adheres to NDPR and applicable regulatory requirements. Collaborate with Compliance and Legal teams to ensure AML, KYC, and credit risk requirements are embedded within workflows. Ensure audit trails are built into Salesforce configurations to support regulatory reporting and audit requirements. Requirements What You Bring Education & Experience Bachelor’s degree in computer science, Information Systems, Business Administration, or a related field; Master’s degree is an advantage. Minimum 7 years of project management experience, with at least 3 years managing CRM or enterprise software implementations. Proven track record delivering Salesforce implementations in complex, multi-stakeholder environments. Demonstrated experience managing system integration projects involving multiple platforms, APIs, and data pipelines. Experience in financial services or fintech, with knowledge of core banking concepts, loan origination, deposit management, or card processing. PMP, PRINCE2, SAFe, or equivalent project management certification required. Technical Expertise Strong knowledge of Salesforce platforms including Sales Cloud, Service Cloud, or Financial Services Cloud. Experience managing integration architecture, APIs, data migration, and data quality initiatives. Familiarity with Mambu or similar cloud-native core banking platforms. Proficiency with project management tools such as JIRA, MS Project, Asana, and Confluence. Preferred Qualifications Salesforce Administrator or Salesforce Project Management certification. Experience working in regulated financial services environments. Knowledge of CBN regulatory frameworks. Experience supporting large-scale digital transformation programmes. This Job Is Perfect For You If You Have successfully delivered enterprise CRM implementations from planning through deployment. Can balance business priorities, technical requirements, and stakeholder expectations. Thrive in complex, cross-functional environments. Have strong systems thinking and integration experience. Are highly organized, commercially minded, and delivery focused. Benefits What's In It For You Lead a high-impact digital transformation programme at the heart of the business. Partner with senior leaders across Technology, Operations, Product, and Commercial teams. Gain exposure to Salesforce, core banking integration, and large-scale fintech transformation initiatives. Competitive compensation and benefits package. Opportunity to make a lasting impact in a fast-growing, technology-driven financial services organisation.

Location: San Francisco, United States About the Opportunity We are partnering with an innovative early-stage robotics company developing intelligent automation solutions for industrial manufacturing. The team is building advanced robotic systems that combine perception, motion planning, and real-time control to solve complex automation challenges in production environments. This is an opportunity to join a small, highly technical engineering team where you'll have significant ownership, work directly with robotics hardware, and help build core technology from the ground up. What You'll Do Design, develop, and maintain robust software for industrial robotic systems. Build and optimize motion planning, trajectory generation, and real-time control algorithms. Develop vision-based robotic applications by integrating cameras and other sensors. Improve system performance, reliability, and scalability across embedded and cloud-based environments. Write clean, modular, well-tested code following software engineering best practices. Perform simulation, testing, and real-world validation of robotic systems. Collaborate closely with software, hardware, and controls engineers to deliver integrated robotic solutions. Contribute to system architecture and technical design decisions. What We're Looking For Required Qualifications Bachelor's degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related technical field. Strong software development experience in Python. Solid understanding of robotics fundamentals, including: Kinematics Dynamics Control theory State estimation Experience with Git, software testing, and debugging. Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment. Must be authorized to work in the United States without future sponsorship due to export control requirements. Preferred Qualifications Master's degree in Robotics, Computer Science, or a related field. Experience with ROS or other robotics middleware. Experience with motion planning, trajectory optimization, and real-time robotic control. Experience working with industrial robot arms or robotic manipulation systems. Familiarity with computer vision and 3D perception. Experience optimizing software for embedded or edge computing platforms. Knowledge of distributed systems or cloud-based robotics infrastructure. Ideal Background We're especially interested in engineers who have experience developing software for robotic manipulation systems in industrial, manufacturing, or automation environments. Candidates who enjoy building new systems from the ground up, working across hardware and software, and taking ownership of challenging technical problems will thrive in this role. What You'll Find Opportunity to work on cutting-edge robotics technology. High-impact engineering role with meaningful ownership. Collaborative, fast-moving technical team. Competitive compensation and equity package. Relocation assistance may be available for qualified candidates.

Location: Palo Alto, United States Vice President, Robot Learning Confidential | Early-Stage Robotics Startup | San Francisco Bay Area, CA About the Opportunity We're partnering with an ambitious early-stage robotics company building the next generation of humanoid telepresence systems for industrial work. The company's mission is to make dangerous, highly skilled physical work safer and more accessible by enabling expert operators to remotely control humanoid robots with real-time visual, auditory, and haptic feedback. These systems are deployed in complex environments including energy infrastructure, industrial facilities, manufacturing, and other hazardous settings. A core part of the long-term vision is transforming teleoperation data into increasingly autonomous robotic capabilities. Rather than treating teleoperation as a temporary solution, the company views it as the foundation for building high-quality robot learning systems based on real-world interaction, force feedback, and task execution. This is an opportunity to define the robot learning strategy at a company where machine learning is central to the product roadmap. The Role We're seeking a Vice President of Robot Learning to lead the company's robot learning organization and own the roadmap from teleoperation data collection through to learned policies and increasing levels of autonomy. This is a highly technical leadership role for someone who enjoys building from first principles, working closely with hardware and software teams, and translating cutting-edge robotics research into production systems. You'll have the opportunity to shape both the technical direction and the team as the company scales. What You'll Do Own the robot learning strategy and technical roadmap. Build the data pipeline that transforms teleoperation sessions into high-quality training data. Develop learning systems for contact-rich robotic manipulation using real-world demonstrations. Design and deploy imitation learning, reinforcement learning, and policy optimization approaches for physical robots. Work closely with robotics, controls, perception, and hardware engineers to build an integrated robotic system. Lead the evolution from teleoperated workflows toward progressively autonomous capabilities. Build, mentor, and grow a world-class robot learning organization. Establish technical direction, research priorities, and engineering best practices. Drive experimentation, deployment, and continuous improvement using real-world operational data. What We're Looking For Required PhD or equivalent expertise in Robotics, Machine Learning, Computer Science, or a related field. Significant experience building robot learning systems for real-world robotic manipulation. Deep expertise in imitation learning, reinforcement learning, policy learning, or related techniques. Experience working with physical robots rather than purely simulated environments. Strong understanding of contact-rich manipulation, force feedback, and real-world robotic control. Track record of shipping robotics systems from research into production. Experience leading highly technical teams or serving as the technical leader for a major robotics initiative. Preferred Experience from leading robotics organizations or research groups such as: OpenAI Robotics Google DeepMind Robotics Physical Intelligence Toyota Research Institute Figure AI Agility Robotics Covariant Skild AI Sanctuary AI Dexterity Intrinsic Boston Dynamics Other leading manipulation or humanoid robotics companies Particularly valuable experience includes: Learning from teleoperation or human demonstrations Building commercial robot learning data pipelines Manipulation in contact-rich environments Haptic interfaces or force-controlled robotics Multi-modal learning using vision, force, and proprioception Scaling robot learning infrastructure across fleets Who You Are Builder-first with a passion for deploying robotics in the real world. Comfortable operating in an early-stage, fast-moving environment. Excited by ambiguous technical problems with significant ownership. Able to balance long-term research vision with near-term product execution. Motivated by building a team, not just contributing individually. Collaborative, hands-on, and deeply technical. Why Join Define the robot learning strategy from an early stage. Build systems that operate in challenging, real-world industrial environments. Work across hardware, controls, perception, and AI to solve end-to-end robotics problems. Help shape the future of intelligent humanoid robotics. Significant technical ownership with the opportunity to build and lead a high-impact organization. Location: San Francisco Bay Area, California (onsite) Employment Type: Full-time

Location: San Francisco Bay Area, USA Workplace: Hybrid Why work at Higgsfield AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. About the role: Higgsfield AI is seeking a Director of Partnerships, AI Model and Ecosystem to lead strategic partnerships across our global compute ecosystem. This is a highly cross-functional role focused on identifying partnership opportunities, developing commercial strategies, negotiating agreements, and serving as the primary relationship owner for key infrastructure partners. You'll work closely with leadership, Finance, Marketing, Legal, Engineering, Product, and external executives to secure partnerships that enable Higgsfield's continued hypergrowth. The ideal candidate combines the structured problem-solving of a management consultant with exceptional relationship management and commercial negotiation skills. You are comfortable navigating ambiguity, aligning diverse stakeholders, and driving complex initiatives from strategy through execution. What You'll Do: Build Strategic Partnerships - Identify, evaluate, and develop strategic partnerships across cloud infrastructure, GPU providers, hardware vendors, and other compute partners. - Own relationships with key external partners from initial engagement through long-term account management. - Develop partnership strategies that align with Higgsfield's business objectives and infrastructure roadmap. - Identify opportunities to expand strategic partnerships over time. Lead Commercial Negotiations - Structure and negotiate commercial agreements that maximize long-term value. - Coordinate negotiations across Legal, Finance, Marketing, Product, and Engineering stakeholders. - Drive contract discussions through execution while balancing technical, operational, and commercial priorities. - Manage ongoing commercial relationships and partnership performance. Drive Cross-Functional Alignment - Serve as the central point of contact for strategic partnership initiatives. - Identify key internal and external stakeholders and align priorities across multiple organizations. - Understand partner motivations, business objectives, and decision-making processes. - Build consensus and remove blockers to accelerate partnership execution. Influence Business Strategy - Conduct market research and competitive analysis across the AI infrastructure ecosystem. - Develop business cases and executive-level recommendations for strategic partnerships. - Monitor industry trends and identify emerging partnership opportunities. - Support executive leadership with strategic planning and partnership reporting. Requirements: - 5–10 years of experience in management consulting, strategy, business development, strategic partnerships, corporate development, investment banking, or related experience. - Experience leading complex, cross-functional strategic initiatives. - Strong commercial negotiation and contract management experience. - Exceptional executive presence and stakeholder management skills. - Demonstrated ability to navigate complex organizations and influence without direct authority. - Strong analytical and structured problem-solving skills. - Experience building business cases and presenting recommendations to executive leadership. - Excellent written, verbal, and presentation skills. - Ability to manage multiple high-priority initiatives in a fast-paced environment. - Experience working with Legal, Finance, Marketing, Product, and Engineering teams. - Experience within AI, cloud infrastructure, hyperscalers, semiconductors, GPU providers, enterprise technology, or adjacent industries. - Experience negotiating strategic technology partnerships or infrastructure agreements. - Background in management consulting (McKinsey, Bain, BCG, or similar), strategy, or corporate development. - Familiarity with AI infrastructure, cloud computing, or large-scale distributed systems. - Experience working at a high-growth, venture-backed technology company. Compensation & Benefits - We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth. - Base Salary: The anticipated salary range for this role is $250,000 - $350,000 depending on experience, skills, scope, and location. - Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program. - Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. - Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks.The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team. - Significant ownership, direct impact, and opportunities for professional growth as the company scales. This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams. Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render’s mission is simple: eliminate the tedious work of building software by providing a cloud platform that just works. We’re evolving from the go-to platform for solo developers into the backbone for fast-scaling teams. As our users’ apps grow from a single service into complex, multi-service architectures, our biggest challenge is keeping it all feeling simple. We need a Product Designer to take that "pile of parts" and turn it into a cohesive system that actually makes sense. As a Staff IC, you'll also help raise the bar across the organization through mentorship, design leadership, and thoughtful cross-functional influence. This is a craft-focused IC role, and it's web UI at its most demanding. You'll own the surfaces developers depend on when the clock is ticking and things are breaking. Designing for infrastructure is unique: your screens see the most traffic when the user is most stressed, and "failure" is a first-class state, not an edge case. We’re looking for someone who finds that responsibility energizing. You’ll join a design team that takes its craft seriously, with weekly critiques and deep cross-functional collaboration. You’ll thrive here if you love untangling complex, messy problems and turning them into accessible, beautiful experiences. YOU WILL: - Make a multi-service system legible at a glance. Design the views that let a developer see how their services connect and depend on each other, instead of stitching the picture together one service at a time. This comprehension gap is where design can make a complicated system feel cohesive and friendly. - Design system-level observability. Aggregated logs, metrics, deploys, and events across a whole project, filterable by environment and resource — so a developer can answer "what's going on with my system" in one place. This is high-density information design where hierarchy, scanning speed, and progressive disclosure are the whole game. - Design deployment as a coordinated act. When an application has many services, coordination gets hard. You'll design cross-service deployment and rollback, and a preview model so shipping feels safe at any scale. - Design and consider all product states. You'll own the "unglamorous" moments. Like build errors, failed deploys, and empty states, and turn them into helpful experiences. Since developer tools earn their reputation by how they handle problems, your focus is on guiding the user to success even when things go wrong. - Own a first-run experience worth recommending. The path from signup to first successful deploy is where trust starts. You'll design it so that a developer's first ten minutes make them want to tell someone. - Contribute to where the platform goes next. Alongside the shipping work, you'll bring concept explorations and a strong point of view to a design-led discovery track, shaping the platform's future through a weekly critique cadence with the rest of the team. WE'RE LOOKING FOR: - 7+ years of relevant experience. Whether you’ve worked on developer tools, cloud infrastructure, or another complex, high-stakes product, we care more about your impact than your title. - Exceptional taste and craft. You have an eye for detail that borders on obsessive — typography, spacing, motion, density, interaction feedback. You notice when something is 2px off and it bothers you, and you've shipped work other practitioners admire. - Strong information architecture. You can take a tangle of objects and relationships and make it feel like one obvious thing. - You design the whole journey, not a screen at a time. Your portfolio shows a user carried coherently across every surface a feature touches — entry point to empty state to failure to recovery — not a set of polished screens that don't add up to a system. - Fluent in developer language. You know your way around services, CI/CD, and deployments. You don’t need to have built a cloud platform before, but you’re curious enough to get deep into the weeds of how it works. - Respect for failure states. You believe an error message is an interface, and you design for the user having a bad day, not just the happy path. - Systems fluency. You're comfortable working in and contributing to a design system as the product's surface area grows, extending it rather than fighting it. - Strong product judgment under fast launch velocity. You frame problems well, prioritize ruthlessly, and know which details matter and which can wait. - Clear, direct communication and a genuinely collaborative way of working with product and engineering partners — including sharing a problem space with another designer without needing hard fences between you. NICE-TO-HAVES: - Experience designing complex dashboards, monitoring tools, or console interfaces where data density and high-stakes clarity matter. - You've been on-call, run side projects, or debugged systems in production. You don’t just design for developers; you understand their mental models and the specific frustrations they face. - You’re as excited to design a CLI tool or shape an SDK as you are to build a web dashboard. You’re ready to explore new frontiers like agentic workflows and AI-assisted design, not just standard web UI. - Design-engineering literacy: comfort near code, motion, or prototyping. - Writing, talks, or side projects that demonstrate your craft and point of view. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Do you have strong technical abilities, and excellent communication skills and can be an inspiration to your team to achieve extraordinary results? Have a passion for automation? Want to work at a company where customers have real excitement for the products you help create? At PlayStation, we are seeking engineers to join a global initiative in robust test automation and Continuous Integration/Continuous Deployment systems. We are looking for a Software Development Engineer in Test Contractor (SDET Contractor) who can help ensure we're able to continue to grow our capabilities without negative impact to our passionate user base. What You'll Do Setup test frameworks, and help teams set up automation infrastructure Automated testing of UI Frameworks, Background Services, Language runtimes, Browser technologies. Develop and implement standard methodologies for automation, continuous build and deploy, automated testing, multi-functional end-to-end testing, including device testing, and performance testing Work with globally distributed teams to engage early and provide continuous delivery of high quality software products that delight Sony customers Manage, and monitor various Jenkins Jobs and report statuses Identify and act on opportunities to improve the QA process Expand testing and automation across teams to promote ownership of quality Work with console developers to ensure that all features and bug fixes come with automated test coverage Maintain and improve existing Python based automation framework Report, track and verify defects This Role Will Require Knowledge Of Testing – the study and practice of a variety of test techniques and methodologies, and familiarity with prominent voices in the online testing community Test automation – an interest in test automation to a level where you can discuss the pros and cons of various automation approaches. To support this, you also have working knowledge of a modern programming language Agile software development – understanding of common methodologies and articulation of how a strong tester can best support their team in that context Performance - passion for application performance and concern about application load time, perceived performance, and user retention Qualifications A Bachelor's degree in Computer Science or equivalent Proven experience writing automated tests in C++, Python, JavaScript Practical experience using development and deployment tools: Git, Docker, Conan, npm Experience in developing CI pipelines using Jenkins / Github Actions, Experience with Selenium or Appium Experience with at least one modern web application framework, preferably React Knowledge and experience testing APIs, Libraries, SDK / Application Frameworks, Native Applications Strong technical, analytical, and problem-solving skills Ability to work independently and as part of a team Excellent verbal and written communication skills Ability to estimate effort and size of features Experience with agile development methodologies and TDD processes Join us at PlayStation and help us build world-class experiences for our users! At SIE, working with our partners, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the individual base pay range may vary based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for benefit offerings that include medical, dental, and vision. Click here to learn more. The estimated base pay range for this role is listed below, this is an hourly rate. $52 — $78 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: New York City, NY; San Francisco, CA 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 Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We're looking for engineers for our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms and take enforcement actions across Anthropic's first-party products and third-party cloud platforms. You'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those tools. That platform includes data analysis capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly. These are internal tools, but they are anything but low-stakes: the speed, clarity, and reliability of this tooling directly determines how quickly Anthropic can identify harmful behavior, make sound enforcement decisions, and feed signals back into model training and safety classifiers. You'll partner closely with policy, operations, data science, legal, and privacy teams to ensure our enforcement systems are effective, accurate, and trustworthy. Key responsibilities Build investigation, review, and enforcement tooling for both first-party and third-party platform surfaces — including case queues, investigation views, decision and audit logging, and account-actioning workflows Develop the platform layer of reusable APIs, data storage, and backend services that lets new review workflows be stood up quickly and safely Stand up and run deployments of this tooling across multiple clouds, including inside cloud-provider partner environments where data must stay in place. Keep the deployments consistent through shared deployment pipelines, smoke tests, observability, and alerting Scale review through automation, including enabling reviewers to use Claude effectively and building toward Claude-assisted and Claude-driven review workflows Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed systems that measurably reduce handling time and decision error Instrument the tools you ship — surfacing metrics on queue health, reviewer throughput, and decision quality — and ensure tooling evolves alongside new privacy primitives and data retention commitments Minimum qualifications A technical background in full-stack or platform engineering, with the ability to engage deeply in architecture and design discussions Experience shipping internal tools or platforms with demanding operational users, and a track record of improving their workflows measurably Experience working cross-functionally with non-engineering partners such as operations, policy, or legal teams Excellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders Care about the societal impacts of AI and want your work to make powerful systems safer Preferred qualifications 8+ years of industry software engineering experience Experience building data labeling, trust and safety, integrity, fraud, or abuse-prevention tooling, or other systems supporting human review at scale Have built systems that handle sensitive or regulated data, with requirements around access control, auditability, retention, and data residency Have worked across multiple cloud providers, or built infrastructure designed to be provider-agnostic A product-minded approach to internal users: you work directly with the people using your tools, watch where they struggle, and fix it 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: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role This role is not a typical infrastructure operations role. As Manager, Engineering, Git & Gitaly Operations, you'll lead the team responsible for the infrastructure layer underneath Git at GitLab: the open source Git project itself, Gitaly, GitLab's Git storage and remote procedure call layer, and the services that make Git perform at enterprise scale. Git and Gitaly are core to GitLab. If they go sideways in production, they affect everything downstream, including continuous integration, code review, and deployments. This role starts with genuine subject matter expertise in Git technologies and extends to reliable operation across GitLab's deployment models: Self-Managed, GitLab Dedicated, and SaaS. You'll build and develop a team with deep platform expertise and strong operational judgment. You'll partner across engineering groups to shape how Git and Gitaly operations evolve as the platform grows. What you’ll do Build and lead a team with deep platform expertise in Git and Gitaly, hiring and developing engineers who can operate this infrastructure layer with strong operational judgment. Own production reliability for Git and Gitaly across GitLab's full deployment footprint. Drive incident management, root cause investigation, and postmortems with the technical depth to distinguish a Git internals problem from a generic infrastructure problem. Design and operate Git and Gitaly service models that work across Self-Managed, GitLab Dedicated, and SaaS, with a clear view of which elements are common and which must differ between them. Maintain cloud-agnostic architecture and tooling decisions, avoiding designs that assume a single hyperscaler's primitives. Partner with the teams that own each deployment model so operational practices stay coherent rather than fragmenting into separate playbooks. Apply distributed systems fundamentals, including consistency, replication, and failure domains, to Gitaly's storage and replication model. Own elastic storage and compute strategy for Git repository data, including capacity planning, autoscaling, and consumption-based provisioning for GitLab's largest self-managed and SaaS customers. What you’ll bring Familiarity with GitLab's product and deployment models, and how Git and Gitaly support repository operations across self-managed, dedicated, and SaaS environments. Hands-on subject matter expertise in Git internals, including how the protocol, object model, and storage layer behave under load and at scale, not only familiarity with Git usage. Strong distributed systems fundamentals, including consistency, replication, failure handling, and horizontal scalability. Experience running production infrastructure across multiple deployment models, such as self-managed, dedicated or single-tenant, and multi-tenant SaaS, or a credible path from adjacent experience to it. Experience with elastic storage and compute, and consumption-based system design for variable, unpredictable load. People management experience, ideally leading site reliability engineering-style or platform operations teams. Direct experience with Gitaly, libgit2, JGit, or another Git implementation's internals is advantageous. Experience operating cloud-agnostic infrastructure across multiple hyperscalers or on-premises environments is advantageous. About the team The Git & Gitaly Operations team owns the Git infrastructure layer that powers GitLab and works at the intersection of Git internals, distributed systems, storage, and production operations. We expect the Git & Gitaly Operations team to go deep on one of GitLab's most critical platforms. The work requires technical depth, strong operational discipline, and the ability to solve complex reliability and scaling challenges in Git and Gitaly. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Singapore; Australia We are committed to providing our customers with reliable and secure services so we are building out our newly formed Site Reliability Engineering team. As one of the first joiners to our Reliability Engineering Team at ClickHouse, you will be responsible for building and leading processes to ensure the reliability, availability, scalability, and performance of our cloud infrastructure that runs ClickHouse databases. You will collaborate with different teams like Control Plane, Dataplane, Core, Security, Support and Operations and guide them to design and implement scalable, secure, highly available and fault-tolerant distributed systems. You will also own the areas of incident management and response, post-mortem analysis including running blameless postmortems, and continuous improvement of our ClickHouse services. You will be leveraging your software engineering expertise to develop software platforms and tools to optimize the operational and engineering efficiencies of ClickHouse Cloud. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance, serverless ClickHouse Cloud. What will you do? - Collaborate with various engineering teams in ClickHouse to design and implement scalable, secure, and highly available systems for ClickHouse. - Establish and manage service level objectives (SLOs) and service level agreements (SLAs) for ClickHouse Cloud. - Ensure all the infrastructure components in ClickHouse Cloud (including Dataplane, Control Plane and ClickHouse Core) have monitoring and alerting in place to ensure timely detection and resolution of incidents. - Enhance and refine incident response processes and post-mortem analysis for any outages in ClickHouse Cloud including working with the support team to communicate to the impacted customers. - Continuously improve the reliability and performance of our ClickHouse services. - Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities. - Manage on-call processes to respond to performance and reliability issues, and establish best practices for coordinating escalation to resolve issues and minimize downtime. About you: - Bachelor’s or Master’s degree in Computer Science or a related field. - At least 8 years of experience in Site Reliability Engineering or a related field. - Previous experience using ClickHouse in production.  - Hands on experience with Go and/or Python.  - Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform. - Excellent understanding of distributed databases and SQL, particularly ClickHouse is a major plus. - Hands on experience with container orchestration tools such as Kubernetes or Docker Swarm. - Strong experience with automation and configuration management tools such as Ansible, Terraform, or Puppet. - You are a strong problem solver and have solid production debugging skills. - You are passionate about efficiency, availability, scalability, and data governance. - You thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward. - You have a high level of responsibility, ownership, and accountability. - Excellent communication and interpersonal skills. Note: We can only hire for candidates with a valid work authorization status in the UK, Netherlands, Sweden, Germany, France, Spain, Italy, Portugal, Poland or Czech Republic at this time.  #LI-Remote PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Valencia Workplace: Hybrid ROLE HIGHLIGHTS: • Senior Software Engineer - Tasking and Planning • Location: Valencia, Spain • Department: Ground Segment • Reports to: Engineering Manager • Employment type: Permanent • Workplace model: Hybrid (3 days per week in office) • Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: As Senior Software Engineer on the Acquisition Planning team, you will build the software systems that enable ICEYE and its customers to task satellites, plan data acquisitions, and turn orbital mechanics into operational intelligence capability. From pass prediction and coverage computation engines to event-driven backend services and the engineering interfaces that let users visualise and de-conflict collection plans, you will own the stack end-to-end — working directly alongside engineers and product managers with deep operational backgrounds to understand what users need and ship software that delivers it. This is an early-stage, high-autonomy role where you will help define the architecture and direction of a platform that sits at the intersection of software engineering, applied mathematics, and real-world intelligence operations. WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. YOUR DAY-TO-DAY RESPONSIBILITIES - Tasking and Planning Engines. Orbit propagation, pass prediction, acquisition geometry, sensor configuration parameters, and coverage footprint computation. Applied science mathematics turned into operational capability via Software. - Platform Services. Backend services handling task management. Event-driven workers performing opportunity calculation and synchronising state asynchronously via NATS JetStream. PostgreSQL for persistence. Responsiveness and resilience at the service of the mission. - Engineering Interfaces. Robust and evolvable APIs and UIs that enable engineers to visualise passes, compare collection plans, plan tasks, and self-service their access to space. - Whatever the future brings. Multi-sensor coordination, processing pipeline integration, new collection strategies, and capabilities that will emerge from close collaboration with users. You will help define the direction, not just execute it. WHAT WE’RE LOOKING FOR Must haves: - Strong software engineering fundamentals. You design decoupled, maintainable, resilient, performant systems. You can reason about concurrency and how transactions work. You know about CAP and regularly make deliberate trade-offs between Consistency and Availability. You understand the difference between “At most once”, “At least once” and how to design systems around those guarantees. - Fluency with AI-assisted engineering. You treat AI as a standard part of your toolkit, not a novelty or a threat. You use it across the whole of your work (design exploration, code, tests, documentation, debugging, reviewing unfamiliar codebases) and you have a feel for where it accelerates you and where it quietly costs you time. Crucially, you stay accountable for the output: you know how to prompt and scope a task well, how to verify what comes back, and how to keep the guarantees that production demands. You are curious about improving the way you and your team work with these tools, and you help others get better at it. - Production experience. You have designed, built, and operated services in production: REST APIs, relational databases, and asynchronous workers. You know how to make your systems observable and resilient. You understand what production demands beyond making things work locally. - Fast learner in technical domains. This role involves orbital mechanics, RF physics, and geospatial data. You don’t need to come in knowing these — but you do need to be the kind of engineer who can pick up a new domain quickly, ask sharp questions, and start contributing before you’ve mastered every detail. - Ability to work from ambiguity. You can take a loosely defined operational need (e.g. “we need users to de-conflict between competing collection plans”) and turn it into concrete engineering work. You ask the right questions, make well-reasoned decisions, and adjust when new information arrives. - Effective communication across domains. You will work alongside people who think in many different ways and work in different contexts. You can listen carefully, ask precise questions, and articulate technical tradeoffs in terms that everybody can understand, and adjust to your audience accordingly. Nice to haves: - Event-driven architecture. Experience with NATS, Kafka, SQS, or similar. Understanding of at-least-once delivery, idempotency, and the practical tradeoffs of asynchronous service communication. - Modern frontend engineering. Production experience with Next.js, React, and TypeScript, particularly for data-intensive or real-time visualisation applications. Experience with CesiumJS or deck.gl http://deck.gl is a strong plus. - Proficiency with AI development tools. You actively use AI assistants (Cursor, Copilot, Claude, ChatGPT, or similar) in your daily engineering work. Not tentatively, but as a primary tool for writing, reviewing, and iterating on code. You understand their strengths and limitations, and you use them to move faster without sacrificing quality. - Orbital mechanics background. Experience with TLEs, SGP4 propagation, pass prediction, incidence and squint geometry, and access window computation. Familiarity with tools like Skyfield, GMAT, or STK. This is valuable but learnable on the job. - Geospatial engineering. GeoJSON, CZML, WGS84, map projections, coverage polygons, and ground footprints. Experience building systems that process and render geospatial data. - Space, defence, or intelligence sector experience. You have worked in an environment where users depend on the software you build, where the physics constrains what is possible, and where the quality of your work has direct operational consequences. You understand what a tasking workflow looks like from a user perspective. APPLICATION PROCESS • TA Partner Screen Call • Hiring Manager Interview • Technical Interview • Values & Fit Interview • SVP of Engineering Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. • Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. • See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. • Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. • Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. • Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Задачи: — Архитектура и внедрение production-ready AI / LLM / Computer Vision систем — Декомпозиция сложных технических задач — Оптимизация стоимости и латенси production рабочих нагрузок — Сотрудничество с техническими и бизнес-командами клиентов — Разработка и обучение моделей машинного обучения — Подготовка данных и проведение аналитики — Деплой и мониторинг моделей Требования: Обязательные: — 2+ года опыта в Machine Learning / AI (Data Scientist, ML Engineer, NLP, CV, Audio Engineer) — 2+ года разработки production AI / LLM систем — Свободное владение Python, TensorFlow, PyTorch, vLLM, LangGraph, LangChain (или эквивалентные) — MLOps: оптимизация стоимости и латенси — Знакомство с agentic tooling (Claude Code, Cursor) — Опыт с LLM, NLP или Computer Vision Желательные: — Опыт с GCP (Google Cloud Platform) — Опыт в content generation — Знание оптимизации локального inference — Опыт работы с LLM и генерацией контента Приветствуется портфолио с примерами production AI систем, которые вы разрабатывали.

Location: Seoul, South Korea 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 an Enterprise Account Executive based in Seoul, you'll drive adoption of safe, frontier AI technology across Korea's financial services industry — banks, insurers, asset managers, and fintech companies. You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them modernize operations, risk, and customer-facing functions with Anthropic's AI solutions. Key responsibilities Own and exceed revenue targets by winning new accounts and expanding relationships across Korea's FSI companies. Build and execute territory plans, identifying opportunities across retail banking, corporate/investment banking, insurance, asset management, and fintech-adjacent units Lead consultative sales processes with senior stakeholders — including heads of digital transformation, risk and compliance leaders, IT leadership, and business-line executives Navigate Korea's FSI regulatory environment, including Financial Supervisory Service (FSS) requirements, data residency, model risk, and financial-sector compliance Work with internal teams (Product, Engineering, Applied AI, Partnerships, Legal) to tailor solutions that meet financial-sector security and compliance standards Stay informed on trends shaping Korean FSI, including digital banking, AI in risk/underwriting, and regulatory shifts around AI use in finance Preferred qualifications 8+ years of enterprise sales experience in Korea, with significant exposure to financial services A genuine understanding of how Korean financial institutions make technology decisions, including the role of regulators, internal risk/compliance functions, and IT governance Direct experience navigating Financial Supervisory Service (FSS) requirements and review processes — this is required given how heavily FSS oversight shapes technology adoption in Korean FSI A track record of managing complex, multi-stakeholder sales cycles typical of FSI, including rigorous security and compliance review Proven experience exceeding revenue targets within financial services accounts Excellent communication skills in both Korean and English A passion for AI built and deployed safely What We Offer Competitive base salary and commission Equity participation Comprehensive benefits Hybrid work model Access to cutting-edge AI technology and world-class research team 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. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. 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. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.