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Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. You will join QRT as the Identity and Access Management Lead, owning the firm’s global identity and access security capability. This is a hands-on leadership role in which you will set the strategy, lead programmes, and remain close to the technology to ensure solutions are secure, automated, and practical for QRT’s engineering environment. Your Future Role within QRT Lead QRT’s IAM and IGA strategy, architecture, roadmap, and delivery. Develop identity lifecycle management, application onboarding, entitlement governance, and access certification. Redesign Active Directory groups, legacy permissions, and access models, establishing clear ownership of applications, roles, entitlements, and access decisions. Develop pragmatic role- and attribute-based access models and improve the automation and accuracy of joiner, mover, and leaver processes. Own the global PAM programme, including the continued development and adoption of PrivX. Redesign privileged access to production, infrastructure, cloud, and trading-critical environments. Reduce standing privileges through controlled, time-bound, and auditable access, with effective controls for administrative accounts, emergency access, and privilege escalation. Own the enterprise secrets-management programme and HashiCorp Vault platform. Define how credentials, certificates, API keys, and other secrets are created, stored, rotated, and revoked. Reduce embedded, shared, and long-lived credentials, while establishing governance for service accounts, workloads, applications, and AI-agent identities. Lead authentication and authorisation programmes across the workforce, infrastructure, cloud, and internally developed applications. Develop strategies and reusable patterns for SSO, MFA, passwordless authentication, phishing-resistant credentials, applications, APIs, platforms, and production systems. Lead and develop the IAM team, manage specialist partners and vendors, and work closely with Security, Infrastructure, Cloud, Engineering, application owners, and business teams. Maintain a clear roadmap, define meaningful measures, communicate progress and risks, and support security incidents, audits, and regulatory reviews involving identity or access. Your Present Skillset Strong experience leading IAM, IGA, PAM, or identity-security engineering in a complex technology environment. Deep knowledge of identity governance, privileged access, secrets management, authentication, and authorisation. Practical experience with SailPoint, Active Directory, Entra ID, Okta, PAM technologies, and HashiCorp Vault. Experience redesigning production access and implementing least-privilege and time-bound access models. Strong understanding of human, service, workload, and machine identities. Experience delivering SSO, MFA, passwordless authentication, and modern application-authorisation models. Strong technical capability across APIs, automation, scripting, and system integration. A good understanding of Windows, Linux, cloud, and modern software-delivery environments. Experience leading technical teams and turning complex security risks into practical engineering priorities. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we offer initiatives and programmes to enable employees to achieve a healthy work-life balance.

Location: Zürich, CH 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 Team The Security team protects Anthropic's AI systems and maintains the trust of our users and society. About the Role At Anthropic, we are pioneering new frontiers in AI that have the potential to greatly benefit society. However, developing advanced AI also comes with risks if not properly safeguarded. As a Research Engineer, you'll help to safely advance the capabilities of our models in incident response, security analysis, vulnerability remediation, and other areas of defensive cybersecurity. This role blends research and engineering, requiring you to both develop novel approaches and realize them in code. Your work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers, engineers, and cybersecurity specialists across and outside Anthropic. This role requires ML experience combined with domain expertise in cybersecurity. You might be an ML researcher with a history of cybersecurity work, or a security professional with a background in ML. Responsibilities Partner with researchers and safety teams across Anthropic to understand their analytical needs and build solutions Develop agentic integrations that allow AI systems to autonomously investigate and act on analytical findings Contribute to the strategic direction of the team, including decisions about what to build, what to partner on, and where to invest This role may require participation in an on-call rotation. You may be a good fit if you Have experience with machine learning. Have experience in cybersecurity research. Have strong software engineering skills. Can balance research exploration with engineering implementation. Are passionate about AI's potential and committed to developing safe and beneficial systems. Strong candidates may also have Professional experience in security engineering, fuzzing, detection and response, or other applied defensive work. Experience participating in or building CTF competitions and cyber ranges. Academic research experience in cybersecurity or other experimental & research background. Familiarity with RL techniques and environments. Familiarity with LLM training methodologies. 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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.

Responsibilities: • Design multi-agent systems and integrate LLMs with internal tools • Develop backend APIs, RAG pipelines, and tool/function calling • Build computer vision pipelines for detection, tracking, and re-identification • Optimize real-time video and GPU inference Requirements: • Node.js/Express.js and Python • LLM APIs, prompt engineering, RAG, tool calling, or agent frameworks • Docker, Linux, and Git • PyTorch and OpenCV • Object detection and multi-object tracking (YOLO, ByteTrack/BoT-SORT) • Person re-identification, vector search, and video streaming (RTSP)

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Location: Tokyo, Japan About the Role At Cloudflare, we are on a mission to help build a better Internet. As the architectural complexity of enterprise solutions scales, we are evolving how we partner with our customers. The Customer Engineer (CE) represents the core driver of our technical go-to-market strategy: a trusted advisor who owns the technical relationship from the initial discovery phase through to long-term adoption and ongoing account expansion. Sitting within the GTM organization and reporting to the Regional Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, utilizing AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical discovery, build bespoke architectures, and deliver compelling product demonstrations and Proof of Concepts (PoCs) across Cloudflare’s portfolio (Security, Networking, Zero Trust and Developer Platforms). Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Strategic Alignment: Own the long-term technical relationship across the entire customer lifecycle, ensuring continuous alignment between the customer’s evolving business goals and our product roadmap. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. You will be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. AI Orchestration & Workflow Automation: Act as an "AI-Augmented" engineer. Leverage AI agents and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, and basic telemetry monitoring, reclaiming your time for strategic customer advisory. Minimum Qualifications Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Sales Engineering, or as a Forward Deployed Engineer. Technical Acumen: Broad technical expertise spanning web security, networking (routing, DNS, DDoS mitigation), cloud infrastructure, and enterprise architecture. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Strongly Preferred Qualifications (The "Good-to-Haves") Cloudflare Developer Stack Experience: Hands-on experience building, deploying, or architecting solutions using Cloudflare's developer platform and AI ecosystem, specifically Workers AI and AI Gateway. Applied AI Knowledge: Experience with prompt engineering, Large Language Model (LLM) orchestration, or Retrieval-Augmented Generation (RAG) architectures. Coding/Scripting: Proficiency in Python, JavaScript, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Compensation This role features a competitive base salary and a variable commission structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff Software Engineer on the Model Infrastructure team, you'll lead the design and development of the systems that power every AI request at Harvey. You'll partner closely with AI Research, Product Engineering, Infrastructure, and external model providers to build a platform that is highly reliable, scalable, observable, and efficient. WHAT YOU’LL DO - Lead the design and implementation of Harvey's Model Infrastructure platform. - Build systems to ensure high availability, low latency, and operational excellence for AI inference. - Design and improve Harvey's Unified Model Controller (UMC) and Model Selector platform to automatically detect model degradations and intelligently route traffic based on reliability, latency, quality, compliance, and cost. - Develop systems for model provisioning, capacity management, failover, and traffic engineering across multiple AI providers. - Integrate new model providers and maintain provider APIs and SDKs, enabling Harvey to rapidly adopt emerging frontier models. - Improve observability through health dashboards, alerting, token usage analytics, cost reporting, and end-to-end telemetry. - Partner with Product Engineering to support model launches, experimentation, and proactive monitoring of production AI workloads. - Drive infrastructure efficiency through capacity planning, utilization optimization, and cost visibility. - Collaborate with AI Research to build the infrastructure foundation for future model evaluation, training, and deployment. - Lead cross-functional technical initiatives and mentor engineers across the organization. WHAT YOU’LL BUILD - Model Reliability & Operations - Model health monitoring - Automated failover and recovery - Capacity provisioning - Operational tooling and incident automation - Unified Model Controller (UMC) - Policy-based model routing - Intelligent Model Selector - Model health monitoring - Traffic management - Reliability and latency optimization - Provider Platform - Multi-provider architecture - API and SDK integrations - OpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, and future providers - Rapid adoption of new frontier models - Observability & Cost Platform - Token usage analytics - Cost attribution - Latency and reliability dashboards - Capacity forecasting - Utilization optimization - AI Platform Foundation - Infrastructure supporting model evaluation - Model deployment and operations - Future model training platform - Agent infrastructure and CcaaS WHAT YOU HAVE - 10+ years of software engineering experience building large-scale distributed systems. - Experience designing and operating highly available production services. - Strong programming skills in Go, Java, Python, Rust, or C++. - Deep understanding of distributed systems, cloud infrastructure, networking, and observability. - Experience leading technical projects across multiple engineering teams. - Ability to balance long-term architecture with pragmatic execution. - Strong communication and collaboration skills. - Passion for building foundational platforms that enable other engineering teams. NICE TO HAVE - Experience with AI infrastructure, LLM serving, or machine learning platforms. - Experience with model routing, inference gateways, or policy-based serving systems. - Experience working with OpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, or open-source LLMs. - Experience with Kubernetes, cloud infrastructure, and service mesh technologies. - Experience with large-scale observability and SRE best practices. - Experience with data infrastructure technologies such as Kafka, Spark, Flink, Airflow, or Iceberg. - Familiarity with GPU infrastructure or model training platforms. COMPENSATION $236,000 - $340,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AK1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Мой клиент: международное AdTech-агентство, которое создаёт технологические решения для рекламы, аналитики, обработки данных и AI-продуктов. Это не про спокойную разработку одной большой фичи, а про множество небольших сервисов и интеграций, разные кодовые базы, legacy, меняющиеся приоритеты и задачи, которые иногда приходят без идеальной документации. Поэтому мы ищем разработчика, которому интересно разбираться в новом коде и который не боится взяться за production-проблему. Задачи: — поддерживать и развивать Java-сервисы и внутренние продукты; — разбираться в существующем коде и устранять production-проблемы; — создавать REST API и интеграции с рекламными, аналитическими и AI-платформами; — работать с большими объёмами данных в ClickHouse и MongoDB; — развивать сервисы на базе Gemini, Claude, OpenAI и других LLM; — поддерживать и расширять MCP-интеграции; — использовать AI coding agents и обязательно проверять результат их работы. Требования: — от 3 лет коммерческой разработки на Java, преимущественно Java 11+; — хороший опыт с Maven, REST API и SQL; — опыт разработки небольших Java-сервисов на чистой Java, без Spring; — практический опыт интеграции LLM API в реальные продукты; — регулярное использование Claude Code, Codex, Cursor или похожих AI-инструментов; — самостоятельность, любопытство и умение переключаться между разными задачами; — опыт в AdTech, MarTech, digital или стартапах. Условия: — полностью удалённо; — официальное оформление; — понедельник–пятница, 10:00–19:00 CET; — рабочий язык команды — русский, английский от B1 для документации и обсуждения API; — рассматриваем кандидатов вне РФ, готовых работать в часовом поясе команды; — зарплата обсуждается индивидуально.

Location: Remote, Canada; Remote, Israel; Remote, United Kingdom; Remote, United States 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 the role We are seeking a Principal Security Researcher to join our Application Security Team to conduct cutting-edge security research on GitLab's AI-powered DevSecOps capabilities. As GitLab transforms software development through intelligent collaboration between developers and specialized AI agents, we need security researchers who can proactively identify and validate vulnerabilities before they impact our platform or customers. In this role, you'll be at the forefront of security research, working with our GitLab DevSecOps platform, Duo Agent Platform, GitLab Duo Chat, and AI workflows that represent the future of human/AI collaborative development. You'll develop novel testing methodologies (including for AI agent security), conduct hands-on penetration testing, and translate emerging threats into actionable security improvements. Your research will directly influence how we build and secure the next generation of AI-powered DevSecOps tools, ensuring GitLab remains the most secure software factory platform on the market. This position offers the unique opportunity to shape security and AI security practices in one of the world's largest DevSecOps platforms, working with engineering teams who are pushing the boundaries of what's possible with AI-assisted software development. You'll have access to cutting-edge AI systems and the freedom to explore creative attack scenarios while contributing to the security of millions of developers worldwide. This role reports to the Senior Manager of Application Security. What you'll do Conduct and lead security research projects across multiple functional areas. Identify novel, systemic, and chained vulnerabilities in GitLab, where individual weaknesses combine for outsized impact. Validate security vulnerabilities through hands-on testing, developing proof-of-concept exploits that demonstrate real-world attack scenarios. Assess emerging industry vulnerability classes against the GitLab codebase, and drive remediation of the class rather than the instance. Lead security research into GitLab's AI and agentic surfaces, and define the security requirements that engineering teams build against. Build and direct the tooling and automation that scales security research, including agent-assisted vulnerability discovery across our codebase. Research the security posture of open source tools and dependencies integrated with GitLab, report findings to their maintainers, and track mitigation following our responsible disclosure guidelines . Solve technical problems of the highest scope, complexity, and ambiguity. Help shape the team and sub-department roadmap. Lead the integration of security research results into the engineering and business functions that need to act on them. Teach, mentor, and advise other domain experts and individual contributors across several teams. Share knowledge and novel vulnerability types with the security community. What you'll bring 10+ years of experience in security research, penetration testing, or offensive security roles Strong ability in discovering and exploiting vulnerabilities in large codebase and complex systems Proficiency in two or more of Ruby, Go, Python, TypeScript, or Rust. Ability to read and analyze code across multiple languages and codebases Strong knowledge of AI frameworks Strong understanding of AI attack vectors including prompt injection, agent manipulation, and workflow exploitation At ease in establishing and driving complex remediation initiatives involving cross-functional teams Excellent written communication skills with an ability to articulate complex topics in a clear and concise manner. Ability to translate complex technical findings into clear risk assessments and remediation recommendations Strong analytical and problem-solving skills with creative thinking about attack scenarios Nice to Have: Published security research or conference presentations; background in software engineering with distributed systems expertise; experience with GitLab or similar DevSecOps platforms About the team Security Researchers are a part of our Application Security team, who address complex security challenges facing GitLab and its customers to enable GitLab to be the most secure software factory platform on the market. We focus on systemic product security risks and work cross-functionally to mitigate them while maintaining Engineering's development velocity. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $203,200 — $275,000 USD 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: San Francisco; London; Austin; Berlin; Seattle; New York City; Toronto Workplace: Hybrid ABOUT THE ROLE The Infrastructure team builds and operates the foundational systems behind Perplexity’s products. At Perplexity, infrastructure sits on the critical path of every answer, supporting real-time search, retrieval, model serving, and agent workloads where latency, reliability, and rapid iteration directly shape the user experience. This role is for strong infrastructure engineers whose experience spans multiple domains and who are energized by cross-cutting problems that do not fit neatly within a single platform team. You do not need to be a specialist in every area. Scope ranges from owning major production systems to setting technical direction across teams, leading complex infrastructure programs, and shaping infrastructure strategy across the organization. If a specialized Cloud Infrastructure, Storage Platform, Backend Platform, Data Platform, Connector Platform, or AI Acceleration role clearly matches your expertise and interests, apply directly to it. If your experience spans several infrastructure domains or you are most energized by cross-cutting systems problems, apply here. Submit one application, and we will consider you across the Infrastructure organization. KEY RESPONSIBILITIES - Own cross-cutting infrastructure problems that span compute, storage, networking, data, deployment, and reliability, including eliminating bottlenecks across retrieval and serving paths, building shared abstractions across deployment environments, and resolving failure modes that cross platform boundaries. - Design, build, and operate distributed infrastructure supporting Perplexity’s consumer, AI, and enterprise workloads, owning systems from architecture through production operation. - Identify gaps between existing platforms and build shared abstractions, automation, and tooling that make infrastructure easier and safer to use. - Improve system performance, availability, scalability, and cost-efficiency across online request traffic and background workloads. - Debug complex production issues across service and infrastructure boundaries, then turn the findings into durable architectural improvements. - Set technical direction for complex infrastructure systems, lead high-impact programs across teams, and establish durable technical standards through collaboration with infrastructure, product, AI, and security partners. QUALIFICATIONS - 4+ years of professional software engineering experience building and operating production backend, platform, or distributed systems. - A track record of owning complex production systems end to end and delivering sustained technical impact across teams. - Demonstrated ability to set technical direction, lead through influence, and raise the engineering bar through architecture, design reviews, and mentorship. - Strong software engineering skills in Python or other systems or backend languages such as Go, Rust, C++, or Java. - Meaningful experience across at least two infrastructure domains, such as cloud platforms, distributed systems, Kubernetes, storage, databases, networking, data systems, developer infrastructure, or production reliability. - Ability to develop depth quickly in unfamiliar systems, reason across software and infrastructure layers, and drive production incidents from diagnosis through durable resolution. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.

Location: San Francisco; London; Austin; Berlin; Seattle; New York City; Toronto Workplace: Hybrid ABOUT THE ROLE The Infrastructure team builds and operates the foundational systems behind Perplexity’s products. At Perplexity, infrastructure sits on the critical path of every answer, supporting real-time search, retrieval, model serving, and agent workloads where latency, reliability, and rapid iteration directly shape the user experience. This role is for strong infrastructure engineers whose experience spans multiple domains and who are energized by cross-cutting problems that do not fit neatly within a single platform team. You do not need to be a specialist in every area. Scope ranges from owning major production systems to setting technical direction across teams, leading complex infrastructure programs, and shaping infrastructure strategy across the organization. If a specialized Cloud Infrastructure, Storage Platform, Backend Platform, Data Platform, Connector Platform, or AI Acceleration role clearly matches your expertise and interests, apply directly to it. If your experience spans several infrastructure domains or you are most energized by cross-cutting systems problems, apply here. Submit one application, and we will consider you across the Infrastructure organization. KEY RESPONSIBILITIES - Own cross-cutting infrastructure problems that span compute, storage, networking, data, deployment, and reliability, including eliminating bottlenecks across retrieval and serving paths, building shared abstractions across deployment environments, and resolving failure modes that cross platform boundaries. - Design, build, and operate distributed infrastructure supporting Perplexity’s consumer, AI, and enterprise workloads, owning systems from architecture through production operation. - Identify gaps between existing platforms and build shared abstractions, automation, and tooling that make infrastructure easier and safer to use. - Improve system performance, availability, scalability, and cost-efficiency across online request traffic and background workloads. - Debug complex production issues across service and infrastructure boundaries, then turn the findings into durable architectural improvements. - Set technical direction for complex infrastructure systems, lead high-impact programs across teams, and establish durable technical standards through collaboration with infrastructure, product, AI, and security partners. QUALIFICATIONS - 4+ years of professional software engineering experience building and operating production backend, platform, or distributed systems. - A track record of owning complex production systems end to end and delivering sustained technical impact across teams. - Demonstrated ability to set technical direction, lead through influence, and raise the engineering bar through architecture, design reviews, and mentorship. - Strong software engineering skills in Python or other systems or backend languages such as Go, Rust, C++, or Java. - Meaningful experience across at least two infrastructure domains, such as cloud platforms, distributed systems, Kubernetes, storage, databases, networking, data systems, developer infrastructure, or production reliability. - Ability to develop depth quickly in unfamiliar systems, reason across software and infrastructure layers, and drive production incidents from diagnosis through durable resolution. If you’re excited about this role, we encourage you to apply even if your experience doesn’t match every qualification listed above.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the Role Join Replit's key teams across the company, such as AI Research, Strategic Finance, or the Office of the CEO, for a unique paid internship built for sharp quantitative and creative minds. You will work alongside our top executives, in addition to world-class engineers, designers, and finance team on some of the hardest problems in AI-native software creation and accelerating key areas of our business. We are creating a dedicated track for students with strong mathematical backgrounds because the problems we are solving sit at the intersection of deep math and applied AI, including agent reasoning, systems optimization, and improving how our models learn and perform at scale. Your work will directly shape how millions of users build software. You Will: - Contribute to real engineering problems that push the boundaries of AI-powered software creation - Collaborate with engineers, designers, and product managers on infrastructure that powers Replit's platform - Prototype novel approaches to problems in AI, systems, or tooling where mathematical rigor is the differentiator - Ship work that impacts millions of developers globally, in an environment where your ideas are heard and often implemented Required Skills and Experience: - Currently pursuing a Bachelor's, Master's, or PhD in Mathematics, Computer Science, Computer Engineering, Statistics, Physics, or a related quantitative field - At least one semester of schooling remaining after the internship - Demonstrated excellence in competitive mathematics such as IMO and IOI, quantitative research, or advanced coursework - Genuine curiosity about AI, agent systems, company building, or developer tooling - Extremely bullish on Replit and the future of AI-native software creation. We would love to see what you have built on the platform What We Value: - First-principles thinking: Ability to break down complex problems from the ground up and reason about them rigorously - Mathematical intuition: Strong grasp of the underlying math behind machine learning, optimization, or systems - Self-directed and autonomous: Capable of working independently while collaborating well with cross-functional teams - Strong communication: Ability to explain complex quantitative concepts to both technical and non-technical audiences - Curiosity and speed: Genuine excitement for hard problems and the drive to iterate quickly Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: San Francisco, California; United States (Remote) Workplace: Remote ABOUT THE ROLE AI teams are assembling their stacks from a fast-moving set of best-in-class tools — model providers, agent SDKs, evaluation and observability platforms, cloud services. Temporal is the durable execution layer that ties those pieces together and makes them production-grade. That position is a strategic advantage, and it needs a dedicated owner. As Staff Product Manager, AI Ecosystem, you own Temporal's integrations and partnerships product portfolio — the surfaces where Temporal meets the rest of the AI stack. You'll define how Temporal is better together with best-in-class tools (eg, from OpenAI, Google, AWS, Braintrust, and more), and how Temporal becomes the durable foundation developers reach for from prototype to production. This is a role where shipping the integration code is just the beginning. You'll drive business leverage through the narrative, the reference architectures, the enablement, and the sustained momentum that make an integration matter to customers and to the field. You'll partner with Engineering, Product Marketing, Partnerships, Sales, Solutions Architecture, and DevRel to take products to market and drive real adoption. Location: San Francisco Bay Area (strongly preferred); remote (US) considered with heavier travel WHAT YOU'LL DO - Own the integrations & partnerships product roadmap. Identify, prioritize, and sequence the integrations and partner experiences that make Temporal the execution layer of choice across the AI stack, and make the hard calls about what not to build. - Stay in the market daily. Be in customer conversations constantly and track a fast-moving AI tooling landscape. Turn what you learn into a roadmap grounded in real, current user needs. - Help define the "Temporal for AI" ecosystem story. Work with cross-functional partners to drive the positioning, reference architectures, and composable building blocks that help AI engineers see how Temporal fits their architecture — prescriptive enough to be useful, adaptable enough to fit their stack. - Take products to market with GTM. Partner with internal GTM (Product Marketing, Sales, Solutions Architecture, DevRel) and with partner GTM orgs to launch integrations and drive adoption. - Drive internal enablement. Make sure the field knows how to sell, deploy, and support every integration in the portfolio. Help build the demos, talk tracks, and reference materials at the right altitude. - Define and track success. Set the KPIs that tell us whether the ecosystem strategy is working. Our priors is that early-stage ecosystem bets are measured by adoption and momentum, not immediate revenue. WHAT YOU'LL BRING - Staff-level product ownership. You take an ambiguous strategic question and turn it into a roadmap and shipped outcomes with minimal direction. 8+ years in product management or an equivalent track record. - Deep AI fluency. You are hands-on with the AI tooling landscape (eg, agent frameworks and SDKs, model providers, eval and observability tools) and you have an opinionated, well-reasoned view of where it's going. If you're not touching this technology regularly, you'll fall behind, and this role can't afford that. - Ecosystem, platform, or partnerships product experience. You've owned integrations, a developer platform, or partner-facing products, not just end-user features. - GTM partnership instincts. You've worked hand-in-hand with Product Marketing, Sales, Solutions Architecture, and external partners to launch products and drive adoption, and you can enable a field organization to sell something new. - Technical literacy. You reason fluently about AI systems, and can hold your own in a design conversation with Staff engineers. You don't need to write production code. - Narrative-grade writing. You build stories. You can write the document that aligns an organization and changes what it invests in. NICE TO HAVE - Background in distributed systems, durable execution, or workflow orchestration - Hands-on experience with Temporal or comparable systems - Prior DevRel, field-facing, or technical-marketing-adjacent experience - A track record of building reference architectures or developer enablement programs WHY TEMPORAL - You'll shape how the industry builds AI. Temporal's position underneath the AI stack is rare and strategically valuable. You'll own a meaningful part of it. - Deeply involved in AI. We power many of the biggest names in the space, and partner with the companies defining it. - Open source at the core, a strong engineering culture, and a developer-first mission. - Well-funded with a strong growth trajectory. - Competitive compensation, equity, and comprehensive benefits. Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity. Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is looking for a Customer Experience (CX) Manager to lead a high-performing support team serving lawyers and professional services teams. Our customers hold their own work to a high standard of accuracy and timeliness, and expect the same from our support. How well your region runs is one of the biggest levers Harvey has on what customers actually experience when they need help. Reporting to the Head of CX, you'll drive operational excellence and accountability across Harvey's global support organization. You'll balance strategic oversight with hands-on execution. This is a role for a leader who thrives in motion: proactive, decisive, and deeply motivated by achieving results through your team. You'll inherit a metric set and processes that need to be better, and we expect you to diagnose what's broken and fix it without being asked. You'll also be one of five CX Managers across the globe, and that peer group is where our operating standard gets set. You're expected to trade what's working across regions and push for the changes you think we should make everywhere, shaping the culture and cadence of a growing support organization. WHAT YOU'LL DO - Run day-to-day support delivery for your region: queue and coverage, triage and handoff, and escalation judgment, measured by First Response Time, Resolution Time, QA, and cSAT. When a number moves, you find the root cause and fix it or scale it. - Set individual performance expectations and stay close enough to the work to spot drift early. Coach against QA results in the moment, and move to a documented plan only when coaching hasn't landed. - Own escalations end to end: triage and severity judgment, customer communication through to resolution, and bug reports Engineering can act on without a follow-up thread. Partner with Product, Engineering, and Go-to-Market to turn recurring escalations into fixes. - Take part in the on-call rotation for customer-impacting incidents, owning the coordination of response and customer communication strategy while an incident is live. - Drive adoption of the AI tools and systems we provide across triage, drafting, deflection, and QA, and pressure-test what CX Ops ships against real queue conditions. - Track how your region performs against the other four, bring what's working to your peers, adopt what's working in theirs, and propose the practices you think should apply globally. - Forecast coverage and staffing against volume, and flag gaps before they have impact. - Hire, onboard, and develop team members to ensure readiness for future growth and evolving support needs. WHAT YOU HAVE - 8+ years in customer support or customer experience, including 4+ years managing teams in a high-volume environment serving enterprise customers. - Comfortable operating at Harvey's pace, not a typical enterprise pace. This is consistently the hardest bar for otherwise-strong support managers to clear. - A deep focus on the customer, and real satisfaction in solving the problems that make their work harder than it needs to be. - You are genuinely invested in developing your team, and you know a high bar is part of that. - You manage close to the work. You know what your team's tickets actually look like, not just what the dashboard says. - A change you made to how a support team works that produced a step change, not an incremental gain. You saw the leverage point others in the seat missed. - Ownership of a metric set (FRT, TTR, cSAT, QA, backlog, deflection): what drives each one, what to change when one slips, and the ability to build your own reporting. We use Zendesk, Salesforce, Omni, and Snowflake. - You understand enterprise escalations, from severity judgment through the customer conversation, and can work one yourself: reproduce the issue, read error logs, and troubleshoot API, authentication, and AI output quality issues well enough to brief Engineering accurately. - You can take a process improvement from idea to shipped yourself, and you know which ones to handover to someone on your team instead. - Day-to-day proficiency using AI tools in a production support workflow, not experimentation, and a concrete point of view on how AI is changing what a support team should look like. - Admin-level fluency with Zendesk or an equivalent platform: views, triggers, macros, and routing logic. - Availability to participate in an on-call rotation outside scheduled working hours, including nights, weekends, and holidays, in accordance with the company’s on-call policy. COMPENSATION $144,000 - $216,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-CG1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW The Content Marketing Manager will develop content that advances Harvey's brand and business goals across editorial, campaigns, and social. This person will turn company priorities, customer insights, and market opportunities into high-quality content, then work across teams to distribute it effectively and measure its impact. This is a role for a strong writer and editor who is equally comfortable shaping strategy and producing the work itself, and who can translate complex legal, technical, and product ideas into clear, compelling stories. WHAT YOU'LL DO - Contribute to Harvey's editorial strategy and help execute the content roadmap set by the Head of Content and Social Strategy. - Write and edit content across formats, including website articles, guides, reports, thought leadership, social series, video scripts, and campaign copy. - Turn complex legal, technical, and product ideas into clear, compelling stories for Harvey's audiences. - Develop content-led campaigns in partnership with product marketing, demand generation, communications, social, and other teams. - Create distribution strategies that extend the reach and value of each major content asset. - Write planned social copy and captions connected to editorial content, campaigns, launches, and brand initiatives. - Partner with the SEO lead to apply search insights to content planning, development, and optimization. - Use audience and performance data to understand what is working and improve future content. - Maintain a consistent, distinctive Harvey voice across channels and formats. - Partner with Content Operations and Publishing to move work efficiently through production, review, and publication. WHAT YOU HAVE - 5+ years of experience in content marketing, editorial, or a closely related discipline, ideally in B2B technology, SaaS, or professional services. - Exceptional writing and editing skills, with a portfolio that demonstrates range across long-form editorial, thought leadership, campaign copy, and social. - A proven ability to translate complex or technical subject matter into clear, engaging narratives for sophisticated audiences. - Experience contributing to an editorial strategy and delivering against a content roadmap, taking ownership of high-quality output end to end. - Strong cross-functional collaboration skills, with a track record of partnering with product marketing, demand generation, communications, and social teams. - Familiarity with SEO fundamentals and comfort using search insights to shape content. - Fluency with content performance metrics and the judgment to turn data into better editorial decisions. - A sharp eye for brand voice and the discipline to maintain it consistently across channels and formats. COMPENSATION $164,000 - $225,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-LR1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. Who we want We are seeking exceptional Software Engineering Interns for our 10-week summer program in New York City. As a core member of our engineering team, you'll build and launch features that directly impact real people — helping our members find top doctors and manage medical claims with ease. You'll work alongside a passionate, multidisciplinary team of engineers, designers, and product managers, taking ownership of meaningful problems in a fast-paced, agile environment. This is hands-on experience building the systems that power our mission: transforming the healthcare economy to deliver high-quality, affordable care for all. Select interns will be offered full-time roles upon successful completion of the program. What you will do Use AI to build, optimize, and maintain software systems Collaborate across disciplines to understand our domain and iterate on projects Participate in code reviews, sharing your insights and learning from others Engage in problem solving sessions with senior engineers and team leads where your unique perspective will be valued Deliver a capstone project presentation to engineering leaders and business stakeholders, demonstrating your work and impact What we're looking for Currently pursuing a Bachelor's or Master's in Computer Science or related STEM field (expected graduation Fall 2027–Spring 2028) Solid CS fundamentals with exposure to front-end (JavaScript, React) or back-end (Python, Node.js) technologies; familiarity with databases or cloud platforms (AWS, Docker) is a plus Exposure to or interest in building with AI coding agents (we use Claude Code) is a plus Strong problem-solver who enjoys breaking down challenges and finding elegant solutions Self-starter who takes ownership of their work and is motivated by real-world impact Clear communicator who can discuss technical ideas with both technical and non-technical audiences, and takes feedback well Excited by fast-paced environments and eager to stretch their skills A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics What you’ll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation The weekly pay rate for this role is $2,400. In addition to base compensation, this role is eligible for a housing stipend. Few roles offer this combination: work that is genuinely hard, a mission that is genuinely important, and a team that is genuinely invested in your success. If that’s what you’re looking for, we’d love to meet you. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. Who we want This is a role for someone who wants to work on a hard problem, deliver real impact and be pushed to be the best version of themselves. As an Associate Software Engineer, you’ll be embedded in our Engineering organization. Garner’s Engineering team tackles incredibly hard technical problems for a mission that truly matters. Our systems analyze billions of medical records to rank healthcare providers across the country. We expect our engineers to champion cutting-edge industry practices as we aggressively embrace AI in every facet of our operations and norms. We are seeking teammates who take pride in doing great work and stay curious about new techniques and technologies. What you will do Use AI to build, optimize, and maintain software systems Collaborate across disciplines to understand our users and iterate on new ideas Protect our users’ privacy and security through secure coding practices Participate in code reviews, sharing your insights and learning from others What we're looking for Recent graduate (Spring 2026) or currently enrolled student (expected graduation of Fall 2026 or Spring 2027), with a Bachelor's or Master's in Computer Science or a related STEM field Solid CS fundamentals with experience in front-end (JavaScript, React) or back-end (Python, Node.js) technologies Experience with a database system such as PostgreSQL or ElasticSearch; familiarity with cloud platforms (AWS, Docker) is a plus Exposure to building with AI coding agents (we use Claude Code) is a plus A track record of shipping high-quality features through internships or personal projects Strong technical writing, analytical, and communication skills Excited to join a high-performing, mission-driven team that values urgency, accountability, and honest feedback A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team’s metrics What you’ll get here You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Technologies we use Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation The base pay for this role is $165,000. Individual compensation will depend on qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive plan and benefits package, including: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health, and more. Few roles offer this combination: work that is genuinely hard, a mission that is genuinely important, and a team that is genuinely invested in your success. If that’s what you’re looking for, we’d love to meet you. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We're looking for a Senior Manager, Product Design to lead the Admin & Enterprise Platform Admin is how firm leaders and innovation teams set up and run Harvey inside their organizations: workflow configuration, permissions and governance, and visibility into how the product is being used. These are the people who decide whether Harvey stays at an account, and Admin is where they see what they're getting from it. Enterprise Platform owns the context and knowledge layer every Harvey product builds from: document management integrations, Vault, connectors, and the research hub. A general model can reason about law, but it can't reach a firm's precedent or matter files that a lawyer would actually cite. It also can't be trusted with them by default, so this team owns how that context is secured and permissioned. What the rest of the product can do is empowered by what this context layer can reach, and design decides whether a lawyer can tell what Harvey found and what it missed. You'll report to the VP Design as a foundational member of the Design leadership team, with portfolio-wide impact on how our product, team, and culture scale. You'll set the operating bar for how we work, and lay foundations for the product that hold for years. WHAT YOU'LL DO Own Admin and Enterprise as a product - Drive strategy and execution for the Admin & Enterprise platforms in close partnership with Product and Engineering, rooted in how champions actually run Harvey inside their firms. - Work directly with customers, research, and usage data to find where champions lose time or lose confidence, and design the workflow configuration, knowledge management, and visibility experiences that fix it. - Tie your roadmap to customer outcomes: faster rollout, wider adoption, and evidence of ROI our champions can take to their own leadership. Build and lead the team - Build, grow, and develop a team of high-craft ICs across systems, product, and prototyping from a small starting footprint. - Own org design, resourcing, and prioritization across four surfaces with very different rhythms, including the conference deadlines that don't move. - Give strategic, systems-level feedback on end-to-end flows, not just screens. Lead across the org - Partner with design, product, and engineering leaders to evolve how Harvey builds, and represent Platform in high-stakes conversations with executives and customers. - Establish how we make design decisions in high-trust, high-stakes environments where clarity and accuracy are non-negotiable. - Be a foundational member of the Design leadership team and help set the operating model the rest of the org runs on. WHAT YOU HAVE - 8-10+ years in Product Design, with 5+ years directly managing product designers. - Experience designing and shipping AI-powered or highly technical products. - A strong portfolio showing leadership of complex products from concept through launch, with clear impact on users and the business. - Ideal experience in building B2B enterprise products. - Fluency with AI tooling in your own practice, and a real opinion about how it changes design work. - Proven experience leading design strategy and execution alongside Product and Engineering. - Demonstrated ability to define and ship high-quality experiences in complex, ambiguous problem spaces. - Excellent judgment about when to go deep, when to delegate, and when to push. - Exceptional communication skills and the ability to influence senior stakeholders, internally and in front of customers. - Deep commitment to growing people and raising the craft bar across a team. - Comfort operating in fast-moving environments with evolving priorities. - Empathy for users, teammates, and the realities of high-stakes professional work. - A growth mindset, resilience, and a bias toward learning through doing. - Strong people leadership instincts with a bias toward clarity, empathy, and accountability. COMPENSATION $235,500 - $325,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-JC1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We're looking for a Senior Manager, Product Design to lead the Admin & Enterprise Platform Admin is how firm leaders and innovation teams set up and run Harvey inside their organizations: workflow configuration, permissions and governance, and visibility into how the product is being used. These are the people who decide whether Harvey stays at an account, and Admin is where they see what they're getting from it. Enterprise Platform owns the context and knowledge layer every Harvey product builds from: document management integrations, Vault, connectors, and the research hub. A general model can reason about law, but it can't reach a firm's precedent or matter files that a lawyer would actually cite. It also can't be trusted with them by default, so this team owns how that context is secured and permissioned. What the rest of the product can do is empowered by what this context layer can reach, and design decides whether a lawyer can tell what Harvey found and what it missed. You'll report to the VP Design as a foundational member of the Design leadership team, with portfolio-wide impact on how our product, team, and culture scale. You'll set the operating bar for how we work, and lay foundations for the product that hold for years. WHAT YOU'LL DO Own Admin and Enterprise as a product - Drive strategy and execution for the Admin & Enterprise platforms in close partnership with Product and Engineering, rooted in how champions actually run Harvey inside their firms. - Work directly with customers, research, and usage data to find where champions lose time or lose confidence, and design the workflow configuration, knowledge management, and visibility experiences that fix it. - Tie your roadmap to customer outcomes: faster rollout, wider adoption, and evidence of ROI our champions can take to their own leadership. Build and lead the team - Build, grow, and develop a team of high-craft ICs across systems, product, and prototyping from a small starting footprint. - Own org design, resourcing, and prioritization across four surfaces with very different rhythms, including the conference deadlines that don't move. - Give strategic, systems-level feedback on end-to-end flows, not just screens. Lead across the org - Partner with design, product, and engineering leaders to evolve how Harvey builds, and represent Platform in high-stakes conversations with executives and customers. - Establish how we make design decisions in high-trust, high-stakes environments where clarity and accuracy are non-negotiable. - Be a foundational member of the Design leadership team and help set the operating model the rest of the org runs on. WHAT YOU HAVE - 8-10+ years in Product Design, with 5+ years directly managing product designers. - Experience designing and shipping AI-powered or highly technical products. - A strong portfolio showing leadership of complex products from concept through launch, with clear impact on users and the business. - Ideal experience in building B2B enterprise products. - Fluency with AI tooling in your own practice, and a real opinion about how it changes design work. - Proven experience leading design strategy and execution alongside Product and Engineering. - Demonstrated ability to define and ship high-quality experiences in complex, ambiguous problem spaces. - Excellent judgment about when to go deep, when to delegate, and when to push. - Exceptional communication skills and the ability to influence senior stakeholders, internally and in front of customers. - Deep commitment to growing people and raising the craft bar across a team. - Comfort operating in fast-moving environments with evolving priorities. - Empathy for users, teammates, and the realities of high-stakes professional work. - A growth mindset, resilience, and a bias toward learning through doing. - Strong people leadership instincts with a bias toward clarity, empathy, and accountability. COMPENSATION $235,500 - $325,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-JC1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: ES - Barcelona, Spain Scopely is looking for an Engineering Manager, Client (Unity) to join our new unannounced project in Barcelona, Spain to work on a hybrid basis 3 times a week. We can support with visa sponsorship and relocation support At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a distributed team of game enthusiasts who are developing, publishing, and innovating in the mobile games industry, connecting millions of people around the world every day We embrace AI-forward development practices and expect our engineers to be curious and pragmatic about how these tools can raise the bar We are in the development stages of a bold, unannounced, cross-platform Strategy/MMO title.  We are looking for passionate game makers to collaborate, get in early and make their mark on this exciting venture What You Will Do Lead and manage a team of experienced engineers who focus on developing and maintaining the game client Design and implement new features in our game client, working collaboratively with other stakeholder teams to understand requirements and identify the best technical solutions Propose and implement improvements to our development processes, workflows and tools, to increase efficiency, quality and throughput Conduct pair programming, code reviews, 1-1’s and knowledge sharing sessions to enhance skills and build a strong development culture Work closely with QA to resolve bugs and deliver high-quality code for testing, contributing directly to the code base Be the quality gate for all code that goes into our game. Keep the team writing clean, efficient and optimized code Work with stakeholders to figure out and implement the best alternative technical solutions Leverage AI tools and agentic workflows in your daily work — from tech planning, code generation and review to exploring novel solutions What We’re Looking For Have technically led or managed a team (any size really) Proven ability to engage and motivate, to bring out the best in people Experienced being part of a professional development team working on game client features or other relevant areas Familiarity with software development methodologies such as Agile and Scrum Excellent experience working with multiple stakeholders in the development process - be able to understand their goals, and deliver/ evaluate various tech solutions to meet these Strong technical skills and experience in at least one of the following areas: game engines, rendering engines, networking, physics, AI, audio Excellent programming skills in C# or C++ Experience in mobile and/or PC game development Experience with version control, build tools and deployment pipelines Strong analytical and problem-solving skills Strong communication and collaboration skills to work effectively with cross-functional teams Knowledge of software engineering best practices and trends Hands-on experience working with AI-assisted development tools (e.g. GitHub Copilot, Codex, Claude Code) and an understanding of how agentic workflows can augment engineering productivity. Bonus points Experience with automated testing and continuous integration Experience with cloud technologies and services for game development Knowledge of game design principles and user experience About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.