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Location: United States Workplace: remote Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.   Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Job Summary Filevine is seeking a Technical Program Manager to lead cross-functional delivery of LOIS, our Legal Operating Intelligence System. In this role, you will own the end-to-end coordination of a large, geographically distributed program spanning engineering, product, design, machine learning, data science, and operations and ensure that complex, multi-team initiatives move from concept to customer with clarity and momentum. This is a foundational role with significant organizational impact, establishing and maintaining the program infrastructure, processes, and visibility mechanisms that allow a large and growing team to execute with speed and confidence. Responsibilities Own the master program plan for LOIS feature development, maintaining a transparent, grounded, continuously updated view of timelines, milestones, and cross-team dependencies that will be used across the organization Proactively identify, track, and resolve blockers and dependency risks across engineering, product, design, ML research, data science, SRE, and operations, working independently and in concert with senior product and engineering leadership Establish and evolve lightweight coordination and delivery infrastructure, including rituals, tooling conventions in Linear, and communication norms, that cultivate strong cross-team alignment Serve as the key connection between the core LOIS development teams and supporting stakeholder functions (QA, operations, etc.), ensuring timely engagement to enable smooth, rapid feature delivery Absorb and manage the impact of unexpected changes, delays, and discoveries during development by updating forecasts, communicating tradeoffs, maintaining coordination without losing delivery momentum Partner closely with product and engineering leadership on release planning, ensuring that program structure reflects and supports strategic priorities Build and maintain a culture of transparency and accountability across the program, ensuring that status is honest, risks are surfaced early, and teams have what they need to do their best work Qualifications 7+ years of technical program management or equivalent experience delivering complex software across multiple geographically distributed teams in different disciplines Demonstrated ability to hold a large, multi-workstream program together under ambiguity: crafting plans, maintaining them under pressure, and communicating status credibly to both technical and executive audiences Deep familiarity with software engineering practice at a working level. Strong candidates should be comfortable in conversations about system architecture, APIs, infrastructure, and technical tradeoffs Proven track record of building coordination processes and infrastructure in environments where they did not previously exist, showing good judgment about deploying formal vs lightweight methods Strong experience with modern project and issue-tracking tooling (Linear, Jira, or equivalent), and critically the use of these tools to make dependencies and progress visible across a large base of contributors and stakeholders Experience working on products that incorporate ML or LLM-based components is a meaningful plus, particularly where model behavior, data pipelines, and research cycles intersected with product delivery timelines Strong communication and stakeholder management skills, with the ability to earn trust and influence outcomes across engineering, product, research, and operations without formal authority over any of them Compensation Information: $130, 000 - 180,000     The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. Other rewards may include commissions, stock options, a paid time off policy, as well as a comprehensive benefits package, including medical, dental, and vision. Work Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite. Some roles offer a hybrid schedule of 2–3 days in-office per week     Cool Company Benefits: - A dynamic, rapidly growing company, focused on helping organizations thrive  - Medical, Dental, & Vision Insurance (for full-time employees) - Competitive & Fair Pay - Maternity & paternity leave (for full-time employees) - Short & long-term disability - Opportunity to learn from a dedicated leadership team - Top-of-the-line company swag   Privacy Policy Notice Filevine will handle your personal information according to what’s outlined in our Privacy Policy.   Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a skilled and experienced Senior AI Engineer - Multi-Agent Frameworks to join our AI Platform team. In this role, you will play a pivotal part in building a cutting-edge platform that empowers our users to create and deploy sophisticated intelligent agents, with a key focus on enabling collaborative and multi-agentic behaviors. This is a backend-focused role that requires deep expertise in AI, large language models (LLMs), and orchestration software. Key Responsibilities: - Design, develop, and maintain a robust platform to enable users to create and manage AI agents and their interactions. - Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability for both individual and coordinated agent operations. - Leverage orchestration frameworks like LangGraph and others to build complex workflows and pipelines that support diverse agent functionalities, including frameworks for multi-agent coordination. - Develop and implement evaluation frameworks for testing AI agents in challenging and complex scenarios, focusing on individual performance and system-level dynamics. - Stay at the forefront of AI advancements, incorporating the latest research and technologies into our platform to enhance agent capabilities and collaboration. - Collaborate with cross-functional teams, including product managers, designers, and frontend engineers, to deliver a seamless user experience for building and deploying intelligent systems. - Address challenging AI privacy scenarios, ensuring compliance with data protection regulations and best practices within agent-based applications. - Contribute to improving search capabilities and integrating them into the AI platform to provide agents with essential information access. Qualifications: - Proven experience working with multiple LLMs (e.g., OpenAI, Anthropic, Cohere, etc.) and understanding their strengths and limitations. - Expertise in orchestration software like LangGraph or similar frameworks used for building and managing agent workflows. - Strong background in developing evaluation frameworks for AI systems, particularly in complex testing environments. - Deep understanding of AI and machine learning fundamentals, with a focus on backend engineering. - Passion for staying updated with the latest developments in AI and applying them to real-world problems, particularly in the realm of agent technologies. - Experience with challenging AI privacy scenarios, including data anonymization, secure data handling, and compliance. - Experience with search technologies and their integration into AI systems. - Experience building or deploying Multi-Agent Frameworks or Multi-Agent Systems.   #LI-REMOTE #LI-AK2 #LI-CC1 Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Role Overview: We are seeking a highly skilled Staff AI Engineer - Multi-Agent Frameworks to join our AI Platform team. In this role, you will play a pivotal part in building a cutting-edge platform that empowers our users to create and deploy sophisticated intelligent agents, with a key focus on enabling collaborative and multi-agentic behaviors. This is a backend-focused role that requires deep expertise in AI, large language models (LLMs), and orchestration software. Key Responsibilities: - Design, develop, and maintain a robust platform to enable users to create and manage AI agents and their interactions. - Integrate and work with multiple LLMs, ensuring seamless orchestration and scalability for both individual and coordinated agent operations. - Leverage orchestration frameworks like LangGraph and others to build complex workflows and pipelines that support diverse agent functionalities, including frameworks for multi-agent coordination. - Develop and implement evaluation frameworks for testing AI agents in challenging and complex scenarios, focusing on individual performance and system-level dynamics. - Stay at the forefront of AI advancements, incorporating the latest research and technologies into our platform to enhance agent capabilities and collaboration. - Collaborate with cross-functional teams, including product managers, designers, and frontend engineers, to deliver a seamless user experience for building and deploying intelligent systems. - Address challenging AI privacy scenarios, ensuring compliance with data protection regulations and best practices within agent-based applications. - Contribute to improving search capabilities and integrating them into the AI platform to provide agents with essential information access. Qualifications: - Proven experience working with multiple LLMs (e.g., OpenAI, Anthropic, Cohere, etc.) and understanding their strengths and limitations. - Expertise in orchestration software like LangGraph or similar frameworks used for building and managing agent workflows. - Strong background in developing evaluation frameworks for AI systems, particularly in complex testing environments. - Deep understanding of AI and machine learning fundamentals, with a focus on backend engineering. - Passion for staying updated with the latest developments in AI and applying them to real-world problems, particularly in the realm of agent technologies. - Experience with challenging AI privacy scenarios, including data anonymization, secure data handling, and compliance. - Experience with search technologies and their integration into AI systems. - Experience building or deploying Multi-Agent Frameworks or Multi-Agent Systems.   #LI-REMOTE #LI-AK2 #LI-CC1 Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: Our customers build the frontier of AI on top of Nebius — training state-of-the-art models, running production inference at scale, shipping the research and products that define where the field is going next. We are building the AI cloud that the people building the frontier of AI choose deliberately — not on price, not on raw capacity, but on how it works to use it day to day. To do that, we are growing the AI Compute Platform product team and hiring multiple Technical Product Managers across the full surface of the platform. Your scope will be defined by what you bring. We will match your technical strengths, customer experience, and product instincts to the area of the platform where you can have the most impact. The platform is broad — and at our scale, every slice is mission-critical. If you want to help build the best AI cloud in the world — and you have the technical depth to engage engineering leaders as a peer (not as a translator) and the comfort to talk to customers directly — this team is for you. The platform you'll help build: Hardware platforms & launch — bringing new GPU and CPU platforms (GB300, Vera Rubin, ARM/Grace, future generations) to production with full launch readiness across the stack. Cluster lifecycle & fleet operations — new region launches, 100,000+ GPU cluster bring-up, platform sharding and allocation architecture, release engineering, host-lifecycle automation, operational efficiency. Reliability & Mission Control — autohealing, health checks, SLA, fault-tolerant training, MTTR reduction, customer trust at scale, observability as a product. Customer experience & developer surface — Compute APIs, console, CLI, IMDS and in-VM signals, self-service workflows, notifications, customer-facing observability, unified UX across the product line. GPU & InfiniBand foundational services — drivers, firmware, NCCL, IB/RoCE, NVLink topology, the foundational layer everything else builds on. Managed runtime platforms — Soperator (Slurm-on-Kubernetes) and MK8S (Managed Kubernetes for AI workloads), powering training and inference for frontier labs. Platform integrations & emerging workloads — Token Factory integration, RL and agentic workload infrastructure, capacity sharing, new business surfaces as they emerge. Cross-platform program & delivery — NVIDIA partnership programs, major-maintenance orchestration, cross-stream releases. You will own one of the slices of this platform end-to-end — from strategy and roadmap through delivery, adoption, and measurable outcomes. Your responsibilities will include (regardless of which slice you own): Own end-to-end product responsibility for your area — strategy, roadmap, discovery, delivery, adoption, measurable customer and platform outcomes. Design and own the platform contracts customers depend on — APIs, semantics, system events, customer-facing surfaces, operational behavior — at hyperscaler quality. Drive cross-team execution across platform engineering, networking, storage, Soperator/MK8S, observability, IAM, billing, capacity planning, support, and product design. Turn customer pain into product commitments through structured discovery — interviews, usage analytics, support patterns, incident postmortems. Close the loop so the same class of failure or friction does not recur. Engage engineering as a technical peer — debate API design, reason about system trade-offs, judge the quality of platform internals, and push back when the design is wrong. Define and own success metrics — what you ship is measured by what changed for the customer or the platform, not by the size of the spec. Be the product voice that customer-facing teams (Support, CX, TAMs) escalate to when a system behavior, API contract, or operational pattern needs a product decision, not a workaround. We expect you to have: 6+ years in Product Management, Platform PM, Infrastructure PM, or SRE / Engineering Lead with strong product instincts. Strong technical foundation and cloud-infrastructure depth — comfort reasoning about API semantics, control-plane vs data-plane behavior, system events and lifecycle, multi-tenant operational realities. You can engage engineering leaders as a peer, not as a translator. Experience with cloud, GPU, or HPC infrastructure — either building one or operating one at meaningful scale (thousands of nodes, multi-region, multi-tenant). Track record of shipping technically complex platform products with measurable customer or platform impact — quantitative results, not aspirational bullets. Strong analytical skills: comfort defining and instrumenting product metrics, working with telemetry, building data-informed roadmaps. Experience leading discovery-heavy work — structured customer interviews, usage analytics, support-ticket analysis — and turning insights into shipped product. Strong communication and ability to align engineering, SRE, customer-facing teams, and exec stakeholders. High ownership, bias to ship, comfort with messy operational reality, and the instinct to push back on engineering when the customer experience or platform quality would suffer. It will be an added bonus if you have (these are not all required — different strengths fit different slices of the platform): Customer-facing experience and lived-it perspective: Direct PM experience with frontier AI customers — ML platform teams, MLOps engineers, training and inference at scale. Familiarity with Kubernetes, Slurm, or HPC environments from the user side, and ML training workflows. Hands-on experience with ML training and inference workflows — especially distributed training at scale (multi-node, multi-GPU; comfort with checkpointing, NCCL, fault-tolerant training, debugging large training jobs). Experience as a customer of AI cloud infrastructure at large scale — especially as part of an internal ML platform team that built and operated infrastructure for ML engineers inside your own company. If you have lived through what frustrates customers about clouds, you will know exactly what we are trying to fix. Hardware, GPU, and HPC depth: Direct experience with NVIDIA reference architectures (NVL72, SuperPOD, MGX, DGX) and the NVIDIA stack (drivers, CUDA, NCCL, DCGM). Familiarity with InfiniBand / RoCE fabrics, firmware lifecycle, topology-aware scheduling. Hands-on with GPU clusters or HPC fabrics at thousands-of-nodes scale. Cluster and fleet operations: Background in Kubernetes lifecycle (CAPI, cluster upgrades, node-pool management) or Slurm at scale. Experience launching new cloud regions or data-center bring-ups end-to-end. Background in release engineering, change management, or major-maintenance orchestration in production environments. Customer experience and developer surface: Exposure to console / CLI / API design at hyperscaler quality — AWS, GCP, Azure depth on consistency, versioning, idempotency, error semantics, deprecation policy. Background in observability product — Grafana, Datadog, Honeycomb, New Relic. Knowledge of customer trust artefacts — status pages, RCA workflows, audit logs, SLA reporting, maintenance notifications. Familiarity with developer-experience product patterns — Stripe, Cloudflare, Vercel, Supabase, Render. Reliability and operational outcomes: Background in SRE, reliability engineering, or fault-tolerant systems for paying customers. Familiarity with reliability metrics that matter: Goodput, MFU, MTTR, MTBF. Experience with autohealing systems and graceful failure semantics. Emerging workloads and integrations: Familiarity with RL / agentic / inference workload patterns — vLLM, SGLang, Ray, Token Factory-style serving, sandbox technologies (Firecracker, gVisor, Kata). Experience with multi-product cloud integrations — capacity sharing, billing models, cross-product packaging. Background in pricing strategy for infrastructure products (reserved / on-demand / preemptible tiers, two-part pricing). Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Munich, Germany Start Date: January 2026 Our client is a leading global insights and research firm that supports investors, consultants, and business leaders with access to industry expertise and market intelligence. With an international presence and a strong reputation in the professional services space, the company helps clients make informed business decisions through expert-led insights across a wide range of industries. About the Opportunity Looking to kick-start your career in a fast-paced, commercial environment? This role offers an excellent opportunity for ambitious graduates and early-career professionals to develop strong business acumen, commercial awareness, and client-facing skills while working with some of the world's leading investment and consulting firms. Key Responsibilities Manage projects from start to finish, understanding client requirements and delivering high-quality expert engagements. Identify and engage senior industry professionals through research and outbound outreach. Conduct high-volume phone conversations and build relationships with experts across various sectors. Work across multiple projects simultaneously while meeting tight deadlines. Develop knowledge of industries, markets, business models, and regulatory environments. Promote additional research and insight solutions to existing clients where relevant. Requirements Business fluency in German (C1 level or above). Strong communication and interpersonal skills. Highly motivated, ambitious, and commercially minded. Resilient, proactive, and comfortable working in a target-driven environment. Demonstrated leadership, extracurricular involvement, internship experience, or other notable achievements. Benefits Competitive base salary with uncapped performance-related earnings. Clear and structured career progression opportunities. Exposure to leading investment firms, consultancies, and corporate clients. Comprehensive benefits package, including technology allowance and wellness support. Generous annual leave and flexible working options. Ongoing professional development and learning opportunities. Collaborative, international, and high-performance work environment in Munich.

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. About the role We are seeking an exceptional Staff Applied Researcher to join our Applied Science team. You will be responsible for building the algorithmic systems that power Garner — determining how we evaluate providers, make recommendations, and optimize for outcomes across cost, quality, and access. You will be responsible for turning ambiguous, real-world problems into systems that deliver measurable impact, defining the objective functions, metrics, and logic that drive our product. You will own these systems end-to-end, from problem definition through production and ongoing performance. Where you will work: This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Own the most ambiguous, high-stakes problems facing the company end-to-end, and set how the team frames and approaches them Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for, and set the standard for how the team selects and applies these approaches Deliver algorithmic breakthroughs that move the company's most important metrics, pioneering approaches that become how applied science is done at Garner Review applied science work at the highest level across the company, ensuring the methods used across teams are sound and correctly applied Build a deep understanding of the healthcare economy and Garner's place in it To make the role concrete, here are three problems on our near-term roadmap: Provider tiering optimization. Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions. AI primary care doctor. Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely. Member engagement model. Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care. The ideal candidate has: 6+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 4+ years of industry experience with a relevant advanced degree, PhDs preferred A bias toward action, quickly translating ideas into working prototypes to test approaches Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them Recognized technical authority, with the judgment to ensure the techniques used across an organization are sound Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem Strong communication skills, including at the executive level, with a track record of driving alignment across an organization A desire to be a part of a high-performing, mission-driven team that operates with urgency, a strong sense of individual accountability, and a commitment to authentic feedback 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 Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment. Why this role This is a unique opportunity to work on high-impact search problems in healthcare, helping shape how members find better care through algorithmic systems that directly influence healthcare outcomes. Compensation Transparency: The target base comp range for this position is $260,000 – $382,000 . Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. 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: Austin, Texas, United States Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises. The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai. Director of Engineering – Data Platform About Vectra AI Vectra AI is transforming cybersecurity through AI-driven threat detection and response.Our platform ingests and analyzes petabytes of customer telemetry, including network packets, logs, identity signals, and security events, to surface real-time insights, advanced detections, and autonomous security outcomes. The Data Platform organization sits at the heart of that mission, powering analytics, detections, machine learning, and next-generation AI capabilities. The Opportunity We're looking for a Director of Engineering to lead the teams that form the foundation of everything Vectra builds. You'll own the systems that ingest, process, store, and analyze petabytes of security telemetry daily, and you'll drive the platform forward to support modern AI workloads, autonomous security workflows, and next-generation analytics. This role is first and foremost an organizational leadership role, but technical credibility is non-negotiable. You'll need to be architecturally fluent, able to engage deeply on system design, challenge assumptions, and identify risks before they become problems. You'll work closely with our platform architects on technical direction, but you're expected to bring your own point of view and push back when something doesn't hold up. What You'll Do People and Organizational Leadership Build, grow, and mentor high-performing engineering teams across multiple geographies. Develop engineering managers and senior technical leaders through coaching, sponsorship, and career investment. Foster an inclusive culture built on trust, ownership, and accountability, where distributed teams can do their best work. Create the conditions for strong execution: clear priorities, healthy team rhythms, and an environment where engineers can focus on meaningful work. Cross-Functional Leadership Align priorities and investment decisions with Product, Security Research, AI, Infrastructure, and Customer teams. Communicate platform strategy, progress, risks, and trade-offs clearly to executive leadership. Partner with customer-facing teams to understand evolving data requirements and scaling challenges. Influence company-wide direction around data, AI, and platform capabilities. Execution and Operational Excellence Lead delivery of large-scale platform initiatives, balancing innovation, reliability, and speed. Set engineering best practices across data processing, schema evolution, data quality, and service-level objectives. Own production operations, incident management, and continuous improvement. Ensure predictable delivery while keeping a clear line of sight to customer impact and long-term platform health. Technical Strategy and Platform Direction Engage deeply on architecture decisions for scalable, reliable, and AI-ready infrastructure, able to ask hard questions, identify gaps, and pressure-test designs alongside platform architects. Champion a platform-first mindset with self-service APIs, strong developer tooling, observability, and documentation that accelerate Data Science, AI/ML, and product teams. Drive adoption of modern platform capabilities including feature stores, vector storage, and model serving infrastructure. Champion the use of AI to improve engineering productivity, software delivery, and incident response. What You'll Bring Required 10+ years of software engineering experience, including 5+ years leading engineering organizations. Proven track record building and operating large-scale data platforms in production. Deep expertise across large-scale data infrastructure: distributed systems, data ingestion pipelines, stream and batch processing, and storage systems at scale including object stores, columnar databases, and time-series systems. Champion the use of AI to improve engineering productivity, software delivery, and incident response. Experience with Databricks, including Spark-based processing and the Databricks platform ecosystem. Experience running ML or AI workloads in production, including platforms, feature stores, or inference infrastructure. Operational mindset: SRE principles, incident response, and a culture of reliability. Experience building or operating platforms that support LLM-based applications, including retrieval, embeddings, and model serving. Preferred Background in cybersecurity, NDR, SIEM, XDR, observability, or related domains. Track record optimizing cloud costs and performance at scale on AWS, Azure, or GCP. Background in real-time detection systems or streaming analytics What Success Looks Like A platform trusted and widely adopted by Data Science, AI, and engineering teams, known for reliability, self-service, and ease of use. Faster time-to-production for analytics, detections, and AI-powered applications. Reduced time from telemetry ingestion to model experimentation and deployment. High-performing teams with strong leadership pipelines and a culture people want to stay in. Industry-leading infrastructure supporting both advanced detections and autonomous security operations. Why This Role Matters Every detection, investigation, and AI-driven insight Vectra delivers runs on the platform you'll lead . You'll shape the organizational and technical direction of a platform that protects organizations worldwide from some of the most sophisticated threats in existence, and you'll build and develop the teams that make it possible. Our competitive total rewards package includes cash compensation within the range provided below. Actual pay for this position may vary based on the hired candidate’s location, experience and relevant incumbent pay position. Vectra Total Rewards $189,000 — $222,300 USD Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive pla n eligibility, and participation in the employee equity plan (stock options). Specific benefits offered var ies by location, but commonly in clude health care insurance , income protection / life insurance , access to retirement savings plans, behavioral & emotional wellness services , generous time away from work, and a comprehensive employee recognition program. Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Location: Palo Alto, California Aptos is a people-first blockchain on a mission to help billions of people achieve universal and fair access to decentralized assets in a safe and scalable way. Founded by some of the original creators and maintainers that researched, designed, and built the Diem blockchain to serve this purpose, we have dedicated several years toward this mission. We believe the open-source Diem technology we have developed is an important foundation of a safe and scalable web3 world where everyone has more equitable opportunities to grow and access financial assets with lower fees and fewer intermediaries. Aptos (Ohlone for "The People") encompasses our mission and ethos for why we build. About The Role We're looking for a talented, driven Senior Software Engineer to build the critical infrastructure that powers the Aptos blockchain ecosystem. This role will have significant impact and visibility - the systems you build will directly enable thousands of developers to build on Aptos. You'll work on APIs, indexers, node infrastructure, SDKs, and developer tools that form the foundation of the network. You'll help shape technical direction and may grow into leading other engineers as the team scales. You should love solving hard distributed systems problems and have a passion for building robust, scalable infrastructure. You will be joining a lean team with a lot of autonomy – you should be a self-starter and thrive on self-directed work in a fast-paced environment. This role sits in our Palo Alto, CA or New York, NY office. What you'll be doing: Leading initiatives to design, build, and optimize backend services and platform infrastructure for the Aptos blockchain Developing scalable APIs, indexing services, and data pipelines to support blockchain data access Building and maintaining infrastructure for node operations, monitoring, and observability Building and maintaining SDKs, libraries, and developer tools Writing clean, performant, well-tested, and production-ready code Collaborating closely with protocol engineers, infrastructure teams, and product engineers What you bring: 5+ years of experience building and shipping scalable backend systems Strong experience building backend systems in languages such as Rust, Go, C++, Java, Python, or similar Deep understanding of systems programming concepts Strong understanding of distributed systems, databases, and API design Strong problem-solving skills and the ability to work autonomously in a fast-paced environment Experience with blockchain infrastructure, indexing, or node operations (a plus) Web3 experience or familiarity (a plus) Background in payments, DeFi, or TradFi (a plus) Comfortable leveraging AI tools to enhance productivity and code quality The base salary range for this full-time position is $160k - $260k. The range displayed on each job posting reflects the minimum and typical maximum target for new hire salaries for the position of a candidate based in the Bay Area at any level. We do hire exceptionally talented professionals with decades of experience in their field. As such, our range may be higher than what is displayed. Our base salary ranges are determined by experience and location, and we hire at all levels for multiple roles. Within the range, individual pay is determined by work location, job-related skills demonstrated during the interviews, working experience, and relevant education or training. Please note that the compensation details listed in role postings reflect the base salary only and do not include equity, tokens, or benefits. #LI-PG1 Our Benefits 100% insurance premium coverage for medical, dental, and vision for you and your dependents (US Employees) Equipment of your choice Flexible vacation time, 11 holidays, and floating company days off Competitive Salary Protocol Token Grants 401k matching (US Employees) Fun and inclusive in-person and digital events Aptos is committed to diversity in the workplace, and we’re proud to be an Equal Opportunity Employer. We do not hire on the basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided based on qualifications, merit, and business need. We are committed to providing a safe and secure hiring process for all applicants. Unfortunately, there are individuals who may attempt to impersonate Aptos or our employees for fraudulent purposes. To protect yourself, please be aware of the following: We will never ask you for payment of any kind during the application or onboarding process, including fees for background checks, training, or equipment. We will always communicate with you using our official company email domain. We will never request your personal financial information, such as your social security number or bank account details, during the initial application stages or via email or a video/voice call when onboarding.

Location: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ THE DATA TEAM - Being part of Alan's data team means you'll have a positive impact on people's health and wellbeing. - We create insights to help our colleagues focus on what is most impactful. - We build features and tools powered by data that directly help our members. - Examples include: - going deep into health consumption patterns, - understanding our product usage, - creating visibility to help our sales team perform, - automating how we reimburse our members, - building products that help our members stay healthy...  We also believe in having a full stack approach: - Each one of us contributes to all 3 aspects of the data spectrum (analytics, engineering, science). This encourages strong ownership and drives impact. - We own our infrastructure. We pride ourselves on a nimble data stack that gives us the flexibility we need. We're mainly using SQL, Python, R, Airflow, Snowflake, and Metabase. - We build in-house tooling to organize our data and serve it to the rest of the company. 🎯 EXPECTED SKILLS AND ABILITIES You would thrive at Alan if most of this sounds like you: - Passionate about owning ambitious problems and developing simple solutions for them - Demonstrated impact during a first successful experience. - Experience or willingness to grow in all 3 aspects of the data spectrum (analytics, engineering, science) -- being specialized in one of these areas is good too! - Proficient in SQL, Python and/or R- Setting a high standard of rigor and precision for yourself, interested in your craft - Great listening and communication skills - Humble, kind, collaborative, and still willing to grow (no matter your seniority!) - Fluent and clear in English, both oral and written (no need to speak French!) For this role we are looking to hire within the C1-E level range https://alan.com/en/careers/a/salary-equity. ⚙️ IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info. YOU WANT TO KNOW MORE ABOUT ALAN? - 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. - 🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work 🔄 A quick note about the process Note: While you're applying for a specific area, you may join a different engineering team based on where we think you'll have the most impact. Check out descriptions of other areas here https://www.notion.so/Software-Engineering-Areas-Alan-2c61426e8be7805bacd2cdbc08c32640?pvs=21.

Location: Remote Workplace: Remote Aghanim is an integrated commerce, liveops automation, community engagement, and payments platform for video games.   Mobile games have traditionally depended on app stores for distribution, payments, and player relationships. We believe there is a better way. Aghanim helps game studios build direct relationships with players, sell directly, and build their future on their own terms. Today, more than 100 games worldwide are already building this future with Aghanim.   Our team brings together people across Los Angeles, New York, Seoul, Beijing, London, Lisbon, Belgrade and other locations around the globe, with deep expertise in gaming, fintech and technology. We move quickly, keep communication direct, and focus on getting things done. We believe the best people thrive when they have autonomy, ownership, and a stake in the company's success. [https://app.ashbyhq.com/api/images/user-content/4f457f07-466b-477b-b552-fbbabd850111/2de3a7cd-8843-41a9-8bbe-ceb897a42c4a/Logo%20(horizontal).svg] We are looking for a Senior Payments Analyst to drive analytical decision-making across our payments product. This role focuses on understanding user behavior within the payment funnel, identifying conversion bottlenecks, and translating data into product improvements. You will work with high-scale transactional data, analyzing how users move from checkout to successful payment and where friction occurs. The role requires a strong experimental mindset and the ability to connect data insights to product decisions. KEY RESPONSIBILITIES Funnel Analysis and Optimization - Analyze user behavior across the payment funnel and identify conversion bottlenecks - Quantify the impact of drop-offs and uncover opportunities to improve conversion and user experience - Translate analytical findings into actionable product recommendations Experimentation and Product Insights - Design and evaluate A/B tests in partnership with Product teams - Define hypotheses, success metrics, and measurement frameworks - Monitor product performance through dashboards, reporting, and ongoing analysis Cross-functional Collaboration - Partner with Product and Engineering teams to support data-driven decision-making - Help prioritize product initiatives based on business impact and analytical evidence REQUIRED QUALIFICATIONS - 5+ years of experience in Product Analytics, Growth Analytics, Data Analytics, or similar roles - Strong SQL skills and experience analyzing product, behavioral, or transactional data - Experience with A/B testing, experimentation, and statistical analysis - Strong understanding of conversion funnels, user behavior, and product metrics - Ability to translate data into actionable product recommendations - Experience using AI tools for analysis, research, and workflow automation PREFERRED QUALIFICATIONS - Experience working with payments and transactional data - Strong understanding of checkout flows and conversion optimization - Experience in gaming, fintech or e-commerce WHY JOIN US - World-class team – work alongside experienced professionals from around the globe who have built products used by millions of players - High growth, high impact – be part of a fast-growing company where ideas turn into products and reach customers in days, not months - Autonomy and ownership – we trust people to make decisions, take initiative, and drive results - Modern tools and technology – use AI, automation, and modern tools as part of your everyday work - Equity – participate in the company's growth and long-term success

Location: Global Core C++ Developer – Crypto High-Frequency Trading About Selini: Selini is a global trading firm focused on systematic trading and venture investing. Overview We are seeking an exceptional Core C++ Developer to contribute to the development and optimization of our high-performance trading systems . This role focuses on building ultra-low-latency infrastructure, optimizing execution speed, and ensuring robust system reliability. The ideal candidate will have deep expertise in modern C/C++ , systems programming, and high-performance computing. Key Responsibilities Design, develop, and optimize low-latency, high-performance trading infrastructure in modern C/C++ (latest standards) . Implement efficient and scalable trading algorithms, order execution, and risk management systems . Deep understanding of exchange connectivity standards for market data and order entry Optimize CPU performance, memory management, and multi-threaded applications . Collaborate with quant researchers, traders, and infrastructure engineers to improve system performance. Profile, benchmark, and debug real-time systems to minimize latency and maximize throughput. Maintain robust and fault-tolerant system components for continuous trading operations . Required Qualifications Expert-level proficiency in C++ , with a strong grasp of modern C++ features (C++17/20/23/26) . Extensive experience in low-latency, high-performance systems programming . Deep understanding of networking (TCP/UDP), concurrency, and multi-threading . Strong experience in Linux-based development and performance tuning . Experience with real-time, high-throughput systems where performance is critical. Background in crypto or traditional finance trading systems Soft Skills & Culture Fit Candidates with exceptional academic or industry backgrounds. Strong analytical skills and ability to work in high-pressure, real-time environments . Collaborative team player who enjoys solving complex engineering problems . We’re a close-knit team that values: High ownership and initiative Curiosity, intellectual honesty, and rapid learning Clear, direct communication Working together toward shared goals — no ego, no politics Compensation & Benefits: Very competitive compensation, with strong upside based on contribution and performance Competitive holiday allowance Free daily Deliveroo lunch High-spec office and technology Team socials Global company offsites and development opportunities

Location: Remote, Germany, EMEA From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re seeking a Principal Software Engineer to contribute to the technical architecture, design and development of Fivetran’s Managed Data Lake product offering. As part of a senior engineering team, you’ll partner with product and engineering teams to build scalable, high-performance systems, advance open-source technologies, and set technical standards that raise the bar across the organization. This is a full-time remote position based out of Germany. Technologies You’ll Use Java, C++, Postgres, Temporal, gRPC AWS, GCP, Azure, Kubernetes, Grafana Iceberg, Polaris, Delta Lake, Parquet, DuckDB What You’ll Do Partner closely with product teams to understand requirements and design cutting-edge new capabilities that go directly into customer’s hands. Design, develop, implement, and operate highly reliable large-scale data lake systems in cooperation with a dedicated data lake engineering team. Contribute to open-source projects such as DuckDB and Polaris. Embrace Fivetran innovations with open-source standards and toolsets. Analyze fault-tolerance and high availability issues, performance and scale challenges, and solve them. Ensure operational excellence of the services and meet the commitments to our customers regarding security, reliability, availability, and performance. Set technical directions and influence cross-functional teams. Skills We’re Looking For 6+ years of hands-on or research experience with high-performance relational data management systems. Deep understanding of infrastructure & software optimizations and performance engineering to drive significant performance, latency, and availability improvements. Proven track record of leading and delivering large and complicated projects. Strong development skills in Java and C++. Solid experience with public clouds (AWS, Azure, GCP). Demonstrated knowledge of columnar storage formats. Growth mindset and excitement about breaking the status quo by seeking innovative solutions. Excellent team player who is consistent in making everyone around you better. Bonus Skills Strongly prefer an MS or PhD in Computer Science, ideally focusing on database management and/or storage engines. #LI-IM1 #LI-REMOTE Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Anywhere in France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ THE INSURANCE TEAM ⭐️ Being part of Alan's insurance community is a great opportunity to have a significant impact on people's health and wellbeing in our multiple countries of operation. - We are at the heart of Alan’s mission, bringing to the team our technical leadership and expertise on healthcare and death & disability insurance. - We work hand in hand with our data scientists, designers, engineers and product managers to build the most differentiating products and provide a delightful experience at a fair price. - We build and manage offers for large companies and public institutions with our sales and account management teams. - We make sure our portfolio is closely monitored and risks are effectively managed. - We also manage our capital, steer our reinsurance strategy and maintain a trusting relationship with our insurance regulators. ⭐️ YOUR ROLE ⭐️  On both Health and Prevoyance businesses, you will: - Define and build the metrics, tools, and dynamic analytics to monitor our portfolio and forecast our margin - Own the quantitative metrics computation to bring added-value to strategic decision makings (portfolio repricing) alongside Strategy and Finance teams - Understand the margin and claims drivers on both gross and ceded business for repricing and offer guarantee adjustments (claims analytics) - Contribute to the reinsurance plans and support the renewal strategy in liaison with the Risk team - Support entities in new countries to define and build their own portfolio monitoring and forecasts ⭐️ IS IT YOU WE’RE LOOKING FOR? ⭐️  You would be a good fit if you: - Have at least 2 years of experience in insurance and portfolio monitoring - Are fluent in English and French - Are a master of portfolio analytics and  forecasts at the micro level - Are comfortable with SQL and ideally in R or Python - Are analytical and structured, with a fact-based decision-making style - Are willing to deeply change the insurance industry and challenge the status quo For this role we are looking to hire within the C1-D level range https://alan.com/en/careers/a/salary-equity.   🌍 HOW WE WORK - Location: You must be legally eligible to work from France. - Remote work: We offer remote work flexibility, but we value in-person collaboration   🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!   🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.   YOU WANT TO KNOW MORE ABOUT ALAN? 🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. 🤘A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work #LI-DNP

Location: Dublin Workplace: onsite Larian Studios is looking for a motivated and hands-on Junior Security Engineer to help strengthen and support the security posture of our global studio environment. This role is ideal for someone early in their cybersecurity career who wants exposure to infrastructure security, vulnerability management, monitoring, and operational security within the gaming industry.   You will work closely with IT, infrastructure, and development teams to support security operations, investigate threats, improve security controls, and help maintain best practices across the organisation. Responsibilities Assist in identifying, assessing, and mitigating vulnerabilities across infrastructure and applications Support the deployment and operation of security tools across multiple systems and environments Perform security monitoring, vulnerability scanning, and assist with log analysis to detect incidents and threats Support technical security audits and help provide actionable recommendations Assist in maintaining secure baseline configurations for Windows and Linux systems Participate in incident handling and escalation procedures Help educate staff on information security best practices Research and learn new technologies, tools, and security techniques Maintain up-to-date security documentation and operational procedures Participate in change management workflows to support secure implementations Requirements 1–3 years of experience in IT, infrastructure, or cybersecurity-related roles Basic understanding of cybersecurity principles and industry best practices Familiarity with vulnerability scanning or security monitoring tools Basic understanding of Windows and Linux operating systems Basic exposure to scripting or automation tools such as PowerShell, Bash, or Python Strong troubleshooting and analytical skills Good written and verbal communication skills in English Passion for cybersecurity and willingness to learn Ability to work collaboratively within a team environment This is a full-time, on-site role, requiring your presence in the office to support collaboration and creativity Nice to Haves Exposure to SIEM, IDS/IPS, endpoint protection, or vulnerability management tools Interest in learning security automation and scripting Experience supporting multi-site or international environments Cloud platform exposure (AWS, Azure, or GCP) Interest in gaming or gaming industry environments Understanding of networking fundamentals What we offer An international team of over 500 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel An open, collaborative environment where ideas are welcome and encouraged A managerial team consisting of highly experienced game developers at the top of their fields Sharing hobbies and passions with like-minded colleagues Inclusive environment with many activities organized by the studios or the employees Commitment to making the best game possible for the fans, including listening to community feedback

Location: Hong Kong, Hong Kong SAR; Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Liquidity Platform The Liquidity Platform provides cutting-edge technology that covers all aspects of crypto trading. We build low-latency connectivity to global crypto venues — across both CeFi and DeFi — strategy services for automated pricing and trading bots, high-frequency data capture and analysis, and state-of-the-art micro frontends for trading management. On top of this infrastructure, we build highly customized strategies to facilitate crypto liquidity. Our engineering teams own the full trading lifecycle, from venue connectivity and execution to strategy, data, risk, and analytics. Our risk solutions are independent of trading logic, decoupled by design, and connected to 20+ trading venues across spot, derivatives, and event-contract markets. If you are a strong technologist excited about the potential of crypto trading and fully-automated systematic trading, we should talk. About the Role We are hiring software engineers across the Liquidity Platform’s engineering teams. You will design, build, and operate the systems that price, execute, monitor, and safeguard our liquidity-providing business 24/7. You will work closely with liquidity managers, product managers, and desk developers — developing strategies, services, and infrastructure using in-house toolkits — while growing capabilities in inventory and risk management, strategic problem solving, cross-functional collaboration, and effective communication. These roles are open to Senior and Staff-level candidates; scope and title are calibrated based on experience and impact. Specializations span Delta One Systematic Trading, Cash OTC, Option Market Making, Trading Infra Service, Data Engineering and Risk & Analytics. What You’ll Be Doing Design, build, and operate scalable, fault-tolerant, low-latency trading infrastructure and microservices that handle 24/7 crypto market operations. Build and maintain connectivity to centralized exchanges, DeFi venues, and counterparties using FIX 5.0+, WebSocket, HTTP/2, and REST — handling the real-world complexities of external integrations and on-chain data. Develop and maintain core services across the trading lifecycle: strategy and execution engines, automated pricing and trading bots, order execution and position tracking, trade & position data platforms, and risk & analytics systems. Architect and optimize high-throughput order execution with sub-millisecond latency targets, and build real-time market-data pipelines aggregating order books and price feeds across multiple venues. Implement pre-trade risk controls, circuit breakers, rate limiters, position/PnL and risk calculations, automated alerting, and high-availability architecture. Implement robust monitoring, alerting, and auto-recovery so strategies remain stable, scalable, and self-healing in a 24x7 trading environment. Build trusted data models, reconciliation workflows, and data-quality controls with clear lineage, reproducibility, and documentation — delivering outputs for the trading desk, Finance, and Operations. Profile and eliminate latency hotspots using garbage-free coding and lock-free concurrency; continuously improve system performance and user experience. Collaborate with liquidity managers, product managers, desk developers, risk, finance, and operations to design, implement, and roll solutions into production. Conduct code reviews, mentor junior engineers, and uphold scalability, resiliency, maintainability, and security best practices across all development activities. What We Look For In You STEM foundation: Bachelor’s degree or above in Computer Science, Engineering, Mathematics, Physics, or a related technical discipline; a combined finance background is advantageous. Experience: Typically 3–8 years in software or data engineering (level-dependent), ideally with exposure to trading, OMS, middle/post-trade, or latency-sensitive systems. Languages: Strong proficiency in one or more of Java (17+), Rust, C++, or Python, with a focus on code quality and operational reliability. Systems: Strong understanding of high-performance, low-latency distributed systems, multi-threaded/concurrent programming, and — where relevant — JVM internals and GC behavior. Connectivity & protocols: Hands-on experience with FIX 5.0+, WebSocket, HTTP/2, and REST APIs, plus network protocol and TCP/UDP optimization. Data & messaging: Strong SQL (MySQL, PostgreSQL — schema design and performance tuning); experience with Redis and Kafka. Infrastructure: Comfortable in Linux/Unix environments; familiarity with Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, AliCloud, GCP) and on-premise infrastructure. Markets: Understanding of market microstructure, order lifecycle, and core trading concepts such as PnL, margin, leverage, and market risk. Mindset: Strong analytical thinking, ownership, and attention to detail; able to work effectively under pressure in a fast-paced environment; a controls mindset around data quality and reproducibility. Communication: Excellent communication and collaboration skills across business and technical teams; fluency in English required, with Chinese/Mandarin a strong plus for global, cross-functional work. Passion: Genuine interest in crypto markets, blockchain, and the broader financial industry, and a drive to keep learning new technologies. Nice to Haves Prior experience in proprietary trading, market making, quantitative research, or front-office technology at exchanges, banks, or investment institutions. Experience with execution algorithms (TWAP, VWAP, iceberg, sniper, smart order routing) and backtesting / strategy-simulation frameworks. Low-latency tooling and IPC: Aeron, Chronicle Queue, Disruptor, shared-memory messaging, Agrona Collections, Protocol Buffers, SBE. Frameworks and libraries such as Spring, Netty, and Vert.x. Modern data platforms (Spark/PySpark, Iceberg, ClickHouse, InfluxDB), workflow orchestration (Airflow, Celery), and ML tooling (MLflow, TensorFlow). Strong understanding of DeFi, blockchain, smart contracts, and crypto exchange APIs; exposure to event-contract / prediction markets. Agentic programming fluency — hands-on use of AI coding tools (e.g., Claude Code, Codex) on real production work. Risk and compliance experience; professional certifications such as CFA or FRM. Technical Environment Languages: Java 17+, Rust, Python, C++ Protocols: FIX 5.0+, WebSocket, HTTP/2, REST Stack: Spring, Netty, Aeron, Chronicle Queue, Disruptor, Kafka, Redis, etcd, MySQL, PostgreSQL, InfluxDB, ClickHouse, Iceberg, Spark Infrastructure: Linux/Unix, Docker, Kubernetes, CI/CD, AWS / AliCloud / GCP Team Specializations The Liquidity Platform comprises several engineering teams. Depending on your strengths and interests, you may join one of the following: Delta One – Systematic Trading: Build cross-venue liquidity and market-making strategies with deep market-microstructure and execution-optimization focus. Option Market Making: Build and operate automated option market-making strategies and pricing systems — managing volatility, greeks, and inventory risk while quoting continuously across crypto options venues. Cash OTC: Develop and own OTC trading strategies and their production environment, partnering closely with liquidity and product managers. Trading Infra Service: Build and maintain the core strategy engine and trading-infrastructure microservices on a distributed, enterprise-grade architecture. Deliver high-throughput, sub-millisecond order execution, market-data pipelines, and exchange connectivity. Data Engineering: Own the trade & position platform end-to-end — venue connectors, the Python + SQL data model, reconciliation, and data-quality controls. Risk & Analytics: Build a greenfield, next-generation risk platform — real-time risk monitoring, PnL/risk calculation, alerting, and circuit-breaking strategies. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: United States + International (Remote) GiveWell’s mission is to help people in need as much as we can by researching the most cost‑effective ways to save and improve lives, sharing our work openly, and directing donations to the programs we believe will do the most good. Our work, which focuses on global health and well-being, is funded by tens of thousands of donors who rely on our research to inform their giving. We’ve grown from directing $1.5 million in 2010 to directing more than $400 million in 2025. We anticipate our total grantmaking is likely to approach or even exceed $1 billion this year, and we are working toward a future that could be several times that scale. Through years of deliberate groundwork, we’ve been growing our research capacity and scope in order to direct substantially more funding to the most impactful opportunities we can find. Update: We will stop accepting new applications for this role on November 26, 2026. The role Senior Program Officers are the leaders of GiveWell's grantmaking. In this role, you'll take primary responsibility for a significant grantmaking portfolio, setting its strategy and sifting through the many opportunities we could fund to focus on those that matter most. Your decisions will inform the allocation of hundreds of millions of dollars to dozens of grantees. You'll also communicate externally about our work and mentor and advise other members of the team. You will build and lead a grantmaking portfolio that brings rigor and creativity to GiveWell's hardest funding problems. You'll combine rigorous review of empirical evidence, cost-effectiveness modeling, strong grantee relationships, ground-truthing of how programs are actually delivered, discussions with subject matter experts, understanding of the broader context, and your own judgment to decide what to fund, how to structure it, and when to build something new. In the course of your work, you might approach questions like these: How should we balance exploring and seeding new, smaller opportunities with funding cost-effective opportunities at scale today? When the best opportunity doesn't exist yet, how do we create it, whether through co-design, seeding an implementer, or shaping broader incentives? What is the best direction for our portfolio, and are we correctly prioritizing the programs and grantees we fund? Where are the highest-impact opportunities to expand the portfolio while improving its cost-effectiveness? How can we triangulate empirical evidence against expert opinion and other qualitative features, like a grantee's organizational track record? Do a grantee's reported outputs reflect real coverage, quality, and adherence to evidence-based practices on the ground? What research can we fund today that could substantially improve our grantmaking five years from now? How much uncertainty are we willing to accept before making a grant, and which questions do we need to answer first? Senior Program Officers work closely with Senior Researchers , an equivalently-leveled, parallel role on our team. Senior Researchers typically set the research agenda for grantmaking areas and tackle the thorniest, most open-ended questions we face, while Senior Program Officers own the grant and portfolio decisions — deciding what we fund and why, and incorporating Senior Researchers' analysis into their decisionmaking. Senior Program Officers have a research mindset, too: they're comfortable digging into a cost-effectiveness model and forming their own view of the evidence. Team structure Our research department is currently organized into eight teams: Five of the teams (Water, Livelihoods, Nutrition, Malaria, and Vaccines) focus on specific areas of grantmaking. The New Areas team focuses on interventions in domains that are new to GiveWell. The Cross-Cutting team focuses on methodological issues, research quality, and other big-picture concerns that cut across all of our research work. The Commons team provides generalized research support to each of the other teams, including landscaping research, vetting, and publishing. New Senior Program Officers typically begin on our Cross-Cutting team, where they complete a structured onboarding program with one-on-one feedback on core GiveWell skills like evidence review, cost-effectiveness analysis, and clear research writing. Onboarding usually lasts one to two months. We generally decide which team a new hire will join by the end of onboarding. Most move onto one of our grantmaking teams (for example, Malaria, Nutrition, Vaccines, or New Areas), and some stay on Cross-Cutting. Placement is based mainly on the research team's needs. In most cases, we won't know at the time of the offer which team someone will join, but if a candidate brings specialized expertise, we may settle on a team sooner. Once placed, team members usually stay on that team long-term. Team values We think our research team has unique qualities: We care deeply and centrally about finding and sharing truth. Truth-seeking is one of our core values . We post our mistakes and we prize our team members who keep our culture of free-flowing feedback strong. We are independent. We focus 100% on finding the most cost-effective opportunities to save and improve lives. Our researchers assist in communicating our research findings to the public and our donors, and on occasion we provide tailored advice to ultra-high-net-worth donors who want to rely on our expertise to direct their giving—but we never ask our researchers to trade off against honesty, or to hide their real beliefs. We don’t waste time. Once it’s clear that a particular research question is unlikely to change our bottom-line funding recommendation, we drop it as quickly as possible. We encourage our research staff to constantly re-evaluate their portfolios and only work on the highest-priority questions. Lean research team = huge personal impact. In 2026, our research team of ~80 people is directing close to 1 billion dollars and we expect grantmaking dollars per research team member to increase in the future. We work well together. Our research team is lean because we’re able to attract top-tier people, all of whom complete skills-based assessments before joining our staff. We maintain a high-performing, collegial culture and pay our staff accordingly. About you The strongest candidates typically have at least 5-10 years of professional experience, a significant portion of which was in similar or closely-related roles. Many of our senior staff have quantitatively-oriented advanced degrees, but there’s no hard academic requirement — what matters to us is that you’ve used empirical tools to make rigorous, evidence-based decisions under uncertainty, whether you’ve done that in graduate training or hands-on experience. In addition to relevant experience with the responsibilities listed above, we'll be interested in people with strong track records in any of the following areas: Funding, building or scaling new programs, initiatives, or organizations. Using rigorous quantitative analysis and cost-effectiveness modeling to support decisionmaking Building relationships with diverse stakeholders (you'll work with other funders, research organizations, NGOs, and more, so it will be important for you to have strong skill in this area) Owning large budgets and/or grant portfolios Excellent written and verbal communication, with an emphasis on directness and clarity Setting and iterating on strategy in complex, fast moving environments It’s a plus, but not required, if you have experience: Engaging with global health, development, or related fields Reviewing randomized controlled trials and impact evaluations Working with governments or multilateral organizations Gathering first-hand data to inform program design Managing a variety of grant types, including advocacy and market-shaping initiatives You can review our staff bios here for more practical insight on the backgrounds and experience of our current team. We expect that people with the soft qualities below will be the most successful and happy on our team. This isn’t a full list, but hopefully it conveys the gist of our team’s professional personality: GiveWell’s mission and methods are personally energizing—you like our approach to research and you find personal meaning in our story of impact. You’re abnormally curious—you ask lots of questions, and you’re willing to interrogate others’ work. Your curiosity also extends to your own work—you aren’t defensive when your research comes under scrutiny. You get things done, and you'll drop what you're doing when something matters more. You drive work to conclusions efficiently, and when the evidence shifts or a higher-value opportunity appears, you’re eager to pivot. You're entrepreneurial. When you see a gap, you want to fill it, whether that's designing a new program, finding an implementer, or setting up a new kind of funding mechanism. You make bets under uncertainty. You routinely think about and surface the value judgments, background knowledge, and strategic commitments that undergird your work. You understand the potential effects of mistaken mental models, so you strive to improve yours and your team’s. You dislike it when people express strong confidence in views that don’t seem to rely on commensurate evidence. You carefully and legibly communicate about your confidence levels. You appreciate the value of an excellent reputation and strong relationships. You can moderate your directness and intensity when you’re communicating with external folks. You love a gnarly problem . You figure out the most important questions to answer, go deep on the details where they matter (and move on where they don’t), and reassess your mental models based on what you’ve learned. The details Compensation: We set salaries using a location-based tier system. Our pay for this role: NYC or the San Francisco Bay Area: $308,000. All other U.S. locations: $280,000. International: Similar to the “all other U.S. locations” salary, based on historical exchange rates and delivered in locally-denominated currency. Benefits : Our benefits include: Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents) Four weeks of paid time off per year 16 weeks of fully paid parental leave Ergonomic home workstations or coworking space memberships Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff) Countries we can hire from: GiveWell is a remote-first organization. However, for the time being, we can only hire within a select number of countries (US, UK, Canada, Switzerland, and Germany). To be considered for a role with GiveWell, you need to already be based in one of those countries or be willing to move to one of them. We expect to expand the list of locations where we can hire over the course of 2027, and our job descriptions always reflect the current status — so we'd encourage you to check back and apply again for a role you're eligible for. Visa sponsorship: The US is the only country where visa sponsorship is possible for a number of roles, and it's assessed on a case by case basis. For all other countries, you need to already have work authorization, we cannot sponsor visas. Why we work this way: Focusing on countries where we already have tested onboarding processes lets us move candidates through hiring faster and with fewer surprises. Every additional country brings its own labor laws, EOR requirements, and new processes to work through, which slows things down for hiring teams and new colleagues alike. Concentrating our footprint keeps the experience consistent and supports GiveWell’s wider absorption capacity goals. Flexibility: We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another. Travel: Research team members are sometimes required to attend international site visits and conferences (on average 1-2 per year), with additional travel for those interested in traveling more. Additionally, we strongly encourage staff members to attend annual department retreats and twice-annual whole org visit weeks to bond with other team members and complete in-person work. We'll discuss travel obligations in more detail during late stages of the hiring process, and we’ll accommodate staff who have conflicting obligations. Start date: We’d like a candidate to start as soon as possible after receiving an offer, but we’ll offer flexibility for candidates whose personal or professional circumstances require them to moderately delay their start date. Application deadline: We don't currently have an application deadline. If that changes, we'll update the posting. We're reviewing applications on a rolling basis, so we recommend applying as soon as possible. Miscellaneous details: Please note that our hiring process relies on some (not all) of the same work trials that we use in our Researcher and Senior Researcher roles (including team-specific Senior Researcher postings). If you applied to one of these roles within the last year, you should hold off on applying to others unless our team reaches out directly. If you're interested in multiple roles, please just apply once and note in your application that you'd like to be considered for the other roles, too. After application review, our hiring process consists of a short application exercise and up to 15 hours of compensated work trials. You can see more details about our hiring process on our FAQs page ! We devote significant staff capacity to initial application review, and we respond to all applications as quickly as possible. We have a strong preference for full-time applicants, but we sometimes consider applications for part-time work on a case-by-case basis. We aren’t interested in reviewing applications for contract or project-based work at this time. You don't need to submit a cover letter—we rely mainly on your resume and answers to the application questions below when we're making early decisions. About GiveWell GiveWell is dedicated to finding and evaluating highly cost-effective global health and development opportunities, and we publish the work, reasoning, and uncertainties behind our funding decisions. Our giving funds enable donors to contribute to the most impactful and cost-effective programs our researchers identify. GiveWell is one of the world’s largest private funders of global development efforts. Trusted annually by tens of thousands of donors, GiveWell searches for highly cost-effective programs that save or improve lives the most. Since 2007, more than 160,000 donors have given over $3.5 billion through GiveWell to the most promising programs its research has identified, which we estimate will save more than 430,000 lives . GiveWell is most well-known for recommending a small number of Top Charities , which currently support seasonal malaria chemoprevention , insecticide-treated nets , vaccine incentivization , and vitamin A supplementation . However, most of our research capacity and grantmaking is devoted to cost-effective opportunities outside of those programs . GiveWell grants have: Helped governments navigate changes to the funding landscape and implement high-impact health programs, like HIV/syphilis screening and treatment for pregnant people in Zambia and Cameroon. Sought to scope and scale promising interventions that don’t have clear existing implementers. We are supporting the Clinton Health Access Initiative’s Incubator to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we funded a program to prevent tuberculosis among young children in Uttar Pradesh and Bihar, India, that we co-designed with CHAI through the Incubator program. Provided funding to ensure that programs that recently faced foreign aid funding cuts could continue, like healthcare support and malnutrition treatment in northern Cameroon. Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support treatment of clubfoot and to evaluate the program . Tested our assumptions and refined our understanding through further research and data collection, including improved estimates of disease burden and studies on the effect of water chlorination on mortality and the impact of a tree-planting program on farmers’ income . We make our reasoning public and transparent so others can challenge it (sometimes we even pay people to point out our errors ). We go to unusual lengths to check our assumptions and assess our impact, including funding research to address our uncertainties and gathering independent monitoring and evaluation data about the programs we support. We change our minds when the evidence demands it. For more about GiveWell, listen to Ezra Klein’s interview with GiveWell’s co-founder and CEO Elie Hassenfeld. Additional information We don’t want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you’re on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway. GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team’s diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination—we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. We will consider employment for qualified applicants with arrest and conviction records. By submitting an application, you acknowledge that you have read and consent to GiveWell’s Privacy Statement for Applicants . By completing an application exercise, you acknowledge and assent to GiveWell’s Work Trial Policy .

Location: Remote, US Role Overview Encoura is accepting resumes for this independent contractor opportunity on a rolling basis. Due to the volume of interest, submission of a resume does not guarantee follow-up or notification regarding application status and priority consideration will be given to candidates with experience in higher education and proficiency with Slate or Salesforce CRM systems . The Encoura CRM Associate independent contractor will work with partner institutions on a variety of Slate-related consulting services. This position focuses on delivering high-quality and innovative solutions to Encoura campus partners to help those campuses better utilize their own admissions/enrollment Technolutions Slate CRM to achieve communications and enrollment goals. Client success if the primary outcome. The CRM Associate independent contractor will spend large periods of time engaging virtually with campus partners. Trouble-shooting and problem-solving are typically a large component in providing value to Encoura clients. The CRM Associate independent contractor must be able to manage multiple projects and responsibilities at once while devoting sufficient time for each project to successfully complete deliverables by agreed upon timelines. This is a project-based independent contractor opportunity focused primarily on delivering Encoura services directly to campus partners. Current Encoura employees are not eligible for consideration. A Day in the Life Provide specific CRM-related services to assigned campus partners, most typically CRM Consulting (either project or hours-based), Slate system implementations, or Slate-hosted communications development Be a positive representative of Encoura and our brand in the marketplace, conducting all activities with the highest degree of professionalism and integrity Engage virtually with Encoura CRM Solutions campus partners using several web-calling services such as Zoom, etc. with a high level of comfortability leading conversations while demonstrating concepts Manage and work with sensitive and legally protected student data on behalf of Encoura campus partners; maintain knowledge on requirements for handling sensitive student data Provide feedback to the VP, CRM Solutions on ways to accelerate the sales cycle, enhance sales, and improve company brand and reputation Provide feedback to VP, CRM Solutions on market trends, competitive threats, unmet needs, and opportunities to deliver greater value to clients by extending company offerings About You Significant experience in higher education admissions including 5-7 years of admissions experience and at least 3+ years’ experience as a campus-based Slate Captain or CRM administrator for another admissions CRM platform Flexibility in your current full-time or part-time employment to accommodate scheduling remote calls (Zoom) with assigned campus partners and respond quickly (usually within 24 hours but potentially sooner depending on the urgency of the request) to campus requests Strong demonstrated ability to problem-solve process and technical issues to provide recommendations and implement solutions in a timely manner Ability to maintain discretion and confidentiality while working with large amounts of sensitive information and student records Capacity to develop strategies to build CRM functionality and resolve campus partner issues About  Us Encoura’s mission is to empower students and institutions to create meaningful connections so everyone can make the most informed decisions to achieve their goals. Since 1972, the Company has evolved its products and services to better represent the link between students and higher education institutions and to create the highest probability of student success. Encoura’s expertise now spans enrollment, research, marketing, student success, and advancement and provides an unmatched combination of higher education experience and innovative solutions for colleges and universities. The Company also offers Encourage® — the nation’s largest free college and career planning program used by millions of high school students and educators nationwide. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. All applicants must be eligible to work in the U.S. Encoura endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law. If you are an individual with a disability and require reasonable accommodation to complete any part of the application process or are limited in the ability and need an alternative method for applying, please contact the Talent Team. Applicants from California, please review the CA HR Privacy Notice . To review our privacy policy, please click this link: https://encoura.org/privacy-policy/

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. DRW is looking for an outstanding Senior Software Engineer to join one of our trading desks.  In this role, you will focus on designing, building, and implementing trading applications and tools. You will be an integral member of an algorithmic trading team comprising experienced technologists, quantitative researchers, and traders. Your team will work closely to solve challenging technological problems and contribute to our full tech stack, from hardware and software development to devops, testing and release management. We are looking for talented programmers eager to develop new technologies that directly impact our business. This role is for the Chicago office only. Responsibilities: Perform full life cycle development of applications and libraries for exchange gateways, trading strategy execution, risk management, trade reporting and market data feed processing using C++ or Rust Develop and maintain systems to ensure application performance, integrity and reliability for maintaining maximal up-time, and logging and traceability to aid in the support of mission-critical production systems Collaborate with quantitative researchers and traders on strategy development Design, develop, and deploy software using agile methodologies Guide junior engineers on best practices through mentoring, pair programming, and code reviews Provide production support, maintenance and performance improvements of existing systems Evaluate new technology and improve our technology stack Requirements: 10+ years of experience developing high-availability server-side systems, preferably in C++ or Rust 3+ years of experience using any combination of the modern C++ (20/23/26) standards​ or Rust A background in multi-threaded programming and a strong understanding of hardware/software interaction Bachelor's degree in Computer Science, Engineering or related field, and strong practical knowledge of computer science, especially algorithms, data structures, distributed systems and concurrency. Positive AI mentality and practical use of AI coding tools. Strong verbal and written communication skills Nice to haves: Experience working in the trading industry or another latency-sensitive business that involves solving complex and novel problems Experience with numerical computing and/or working with Quantitative Researchers Experience with full life-cycle software development utilizing exotic hardware/software architectures Detailed understanding of TCP, UDP, IPV4 and related hardware/software Comfort with multiple programming languages, particularly including C++, Rust, Java, Python, JavaScript, Ruby The annual base salary range for this position is $150,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-VD1]