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Location: Global | Remote; Argentina (Remote); Poland (Remote); Mexico (Remote); Taiwan (Remote); United Arab Emirates (remote) Workplace: Remote Location: Global: Europe, Asia-Pac, Argentina, Mexico Department: Production (Applied AI) Reports to: Program Director Rate: $20 per hour We are looking for a data-driven Project Managers to lead our large-scale multilingual data collection and Large Language Model (LLM) evaluation initiatives. In this role, you will be the operational backbone of our AI development, orchestrating global teams of annotators and data specialists. If you thrive in a fast-paced environment where you can optimize workflows for productivity, quality, and throughput, we want to hear from you KEY RESPONSIBILITIES 1. PROJECT MANAGEMENT - End-to-End Delivery: Manage the full lifecycle of AI data projects, from scoping and guidelines creation to data delivery and post-mortem analysis. - Pipeline Management: Oversee large-scale data pipelines for multilingual data collection (audio, text, image) and LLM evaluation (RLHF, SFT, ranking, and safety testing). 2. QUALITY ASSURANCE & PERFORMANCE MONITORING - KPI Tracking: rigorously monitor and report on key performance indicators, including: - Throughput: Volume of data processed per hour/day. - Quality: Accuracy scores, Inter-Annotator Agreement (IAA), and gold-set performance. - Productivity: Cost-per-task and worker efficiency rates. - Quality Control: Run QA loops, root-cause analysis for quality dips, and corrective training for annotator pools. - Dashboards: Maintain dashboards to visualize project health and flag bottlenecks in real-time. 3. STAKEHOLDER MANAGEMENT - Global Coordination: Manage relationships with data experts and crowd pools, ensuring adherence to SLAs regarding localized nuances and linguistic accuracy. - Cross-Functional Collaboration: Liaise with Applied AI Technical Ops teams. Translate technical requirements into clear, actionable guidelines for non-technical annotators. - Feedback Loops: Facilitate continuous feedback loops where data insights drive updates to annotation guidelines and model fine-tuning strategies. QUALIFICATIONS ESSENTIAL SKILLS & EXPERIENCE - Experience: 3-5+ years of project management experience, specifically within AI/ML data operations. - LLM Knowledge: Strong understanding of LLM training processes (Pre-training, SFT, RLHF) and evaluation methodologies (Human-in-the-loop, red teaming). - Data Proficiency: Advanced proficiency in Excel/Google Sheets; ability to write SQL queries to extract and analyze performance data. - Methodology: Proven track record using Agile, Scrum, or Kanban methodologies to manage complex workflows. - Communication: Exceptional ability to write clear, unambiguous guidelines for multilingual audiences. PREFERRED QUALIFICATIONS (NICE TO HAVES) - Multilingual: Fluency in a second language is highly desirable. - Technical Tools: Experience with data annotation platforms (e.g. Scale AI, Super Annotate) and project management tools (e.g. Jira). - Education: Background in ML Engineering, Computer Science, Data Science and Project Management training. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are hiring Support Engineers to serve as the named, dedicated Product Support point of contact for Anthropic's most strategic enterprise customers. As a Support Engineer, you'll be providing high-touch, deeply contextual support to a defined book of accounts — embedded in your customers' shared channels, known by name to their stakeholders, and partnering closely with Sales, Customer Success, and Applied AI as the technical support voice on the account team. You'll bring deep knowledge of how each of your customers is built on Claude to every interaction, so you can investigate, diagnose, and resolve their most complex technical needs with nuance and speed — and ensure the right internal teams are engaged when needed. Responsibilities Serve as the named technical support contact for a defined book of strategic enterprise accounts, embedded in customer channels and joining recurring account cadences as the support voice Own your customers' technical support needs end to end — investigate, diagnose, and resolve complex issues directly, and partner with internal Engineering and Product teams to drive resolution when needed Build deep, durable context on each customer's architecture, integrations, and use cases so you can respond with nuance rather than from a script Partner closely with the Customer Success Manager, Account Executive, and Applied AI team on each account as part of a single, coordinated account team Capture technical feedback and product friction from your accounts and route it to Product with the impact data and detail needed to prioritize it correctly Manage high-urgency issues for your accounts with extreme ownership, and coordinate cleanly with the broader Product Support team for continuous coverage Help build the foundations of the Support Engineer function — runbooks, escalation paths, tooling, and the metrics we'll use to measure its value Become an expert in all Anthropic products across the API, Claude for Enterprise, and Claude Code You may be a good fit if you Have 5+ years in technical product support, with meaningful time in an escalated, priority, or named-account support team for enterprise customers Have been the person an enterprise customer knows by name and reaches for first when they need technical help Are deeply fluent with APIs and technical SaaS products, and can read technical documentation, error logs, and request traces with ease Have hands-on experience troubleshooting SSO, SAML, OAuth, and enterprise authentication flows Are persistent and curious — you delight in the hunt of tracking down a bug, and are energized by fixing it for every similar user going forward Possess strong user empathy and crisp, kind written communication; you can translate between a frustrated customer engineer and an internal platform team without losing either Are comfortable operating in ambiguity, making informed decisions in never-before-seen situations, and knowing when to pull the escalation cord Enjoy building trust and collaborating closely with go-to-market partners (Sales, CS, Applied AI) without owning the commercial relationship yourself Have contributed to the foundations of a support team before — the essential, often unglamorous work of writing the first runbook Are excited about Anthropic's products and the opportunity to shape how the world's largest companies get support for them Strong candidates may also have SQL proficiency for querying logs and usage data to investigate issues Comfort with command line interfaces and basic scripting (Bash, Python, JavaScript) Understanding of LLM capabilities, prompt engineering patterns, and current limitations Familiarity with enterprise networking concepts, cloud infrastructure (AWS, GCP), and IT environments Experience working inside a customer's shared Slack or similar embedded-support model Background as a Technical Account Manager, Support Engineer, or Designated/Premier Support contact at a developer-platform or infrastructure company The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $210,000 — $250,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: Anthropic’s Research Tools team builds systems that support our large-scale, distributed finetuning runs and improve the productivity of researchers. As a manager, you’ll support a team of machine learning and distributed systems experts to make these systems and tools highly efficient, support fast iteration on model development and research, and evolve the infrastructure continuously to incorporate new research advances. Our Research Tooling sits at the intersection of almost every technical group at Anthropic. You’ll work with research teams to incorporate their innovations into our production finetuning pipeline, product teams to help us iterate quickly on customer-oriented model improvements, and infrastructure teams to make sure our training runs and data pipelines are as efficient as possible. About Anthropic: Anthropic is an AI safety and research company working to build reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our customers and society as a whole. Our interdisciplinary team has experience across ML, physics, policy, business, and product. Responsibilities: Prioritize the team’s work in collaboration with the technical lead, research teams, and product teams to support fast iteration on research projects and training runs. Design processes (e.g., postmortem review, incident response, on-call rotations) that help the team operate effectively. Coach and support your reports to understand and pursue their professional growth. Run the team’s recruiting efforts efficiently, ensuring we can grow as quickly as we need through a period of rapid growth. You may be a good fit if you: Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well. Are an experienced manager (at least 2 years) and actively enjoy people management. Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you’ll need to understand (at a high level) to be effective. Strong candidates may also have: Experience working with research teams, especially as part of a “research to production” pipeline Strong people management experience: Coaching, performance evaluation, mentorship, career development Strong project management skills: Prioritization, communicating across team/org boundaries Experience recruiting for your team: Predicting staffing needs, designing interview loops, evaluating candidates, and closing them Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Salt Lake City, Utah, United States iCapital is seeking an exceptional Data Engineer to help scale the data foundations that power the business. This individual will design, build, and optimize the data pipelines and infrastructure that enable data to be a strategic asset across the organization. This role is highly collaborative and will partner with the Product, Engineering, Analytics teams and business stakeholders to quickly understand evolving challenges and deliver scalable, maintainable, and high‑quality solutions. Data sits at the core of iCapital’s operations. The firm relies on clean, reliable, well‑structured data to drive decision‑making, enhance client experiences, and support a rapidly growing product suite. This individual will be responsible for moving and transforming data and developing a deep understanding of the business context behind it and help teams act on insights. Responsibilities Develop and automate large scale, high-performance data platform pipelines and infrastructure to drive iCapital business growth and enable data-driven decision making. Design and develop reusable components and frameworks for ingestion, cleansing, and data quality. Streamline the ingestion of raw data from various sources into our Data Lake and Data Warehouse. Design data models for optimal storage and retrieval that represent the tangible business domains across iCapital’s ecosystem. Coordinate closely with the Operations, Sales, and Product Development teams daily to push iCapital’s FinTech strategy and improve the overall profitability of the business. Qualifications 6-10 years of professional experience in a data engineering or data-driven software engineering role Exceptional Python and SQL skills Extensive experience with orchestration frameworks (Prefect, Airflow, Dagster, etc.) Deep understanding of OLAP (Snowflake, Databricks) and OLTP (PostgreSQL, MongoDB) databases and ELT frameworks (dbt, dlthub) Experience developing and deploying code to Cloud environments (AWS, GCP, Azure) Possess a strong grasp of object-oriented and functional programming and an ability to write easy-to-scale, high-quality code Experience leveraging stream processing frameworks (Kafka, Flink, Spark) Knowledge of infrastructure-as-code frameworks (terraform or cloud formation) Detail-oriented and able to multitask and work in a fast-paced environment Able to work independently while also being a strong team player Excellent written and verbal communication Passionate about learning and mastering cutting-edge technologies Professional experience with JVM based languages such as Scala, Java, and Kotlin is preferred Knowledge of financial markets and financial instruments is preferred Benefits The base salary range for this role is $100,000 to $135,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . Team Description: The Ads Marketplace team is a strategic growth engine for Reddit Ads. Our mission is to democratize high-performance advertising by enabling brands to achieve world-class results with minimal friction. To achieve this, we need an incredibly robust, scalable, and state-of-the-art Machine Learning infrastructure. The Ads ML Platform team is at the core of this mission, tasked with building the foundation that powers all of our content understanding, ad targeting, and ad ranking models. We are empowering our ML engineers and data scientists to move faster and build smarter. The Role: As the Staff Product Manager for the Ads ML Platform, you will hold significant ownership over the infrastructure and tools that make our ads marketplace intelligent. You will define the vision and build the roadmap for a platform that enables unparalleled engineering velocity and supports the most modern ML architectures. You will be the bridge between complex ML systems and business outcomes. Whether it's integrating generative AI to increase developer productivity, establishing unified model-serving infrastructure, or optimizing GPU utilization, your work will directly accelerate how quickly and effectively we can ship highly-performant ad products. If you are passionate about the intersection of platform engineering and state-of-the-art ML research, this is the role for you. Responsibilities Define the Vision: Shape the long-term strategy and roadmap for Reddit’s Ads ML platform, ensuring we are adopting cutting-edge technologies (including Generative AI and LLM workflows) to stay ahead of the curve. Accelerate Velocity: Build products and tooling that dramatically reduce friction for Machine Learning Engineers (MLEs) and Data Scientists, enabling them to train, deploy, and iterate on models faster than ever. Cross-Functional Leadership: Partner deeply with Engineering, Data Science, and Ads Product teams to understand their constraints, prioritize platform initiatives, and deliver scalable infrastructure. Drive Execution and Adoption: Own key performance indicators (KPIs) around platform reliability, latency, cost-efficiency, usage metrics, and developer productivity. Stay Cutting-Edge: Keep your finger on the pulse of the broader ML ecosystem. Read the latest research papers, understand emerging architectures, and determine how they can be practically applied to Reddit’s Ads ML platform. Distill pain points, translate to requirements : Conduct regular user research with MLEs in Ranking, Creative Effectiveness and Content Understanding to convert pain points (e.g., slow backfills, limited training speed, no way to quickly share features across models) into precise product requirements. Validate the needs and ensure they are tied into a broader vision for the org. Minimum Qualifications: At least 7+ years of product management experience, with prior focus internal technical products, developer tools, data/ML platforms, and/or ads and content ranking. Deeply analytical and highly technical background; you are comfortable working in complex data systems and understanding the entire machine learning lifecycle (training, inference, deployment, monitoring). Genuine passion for machine learning and AI; you stay at the forefront of ML, enjoy reading ML research papers, stay informed on the latest industry trends, architectures, and capabilities. Exceptional problem-solving skills and the ability to translate highly technical constraints (e.g., GPU scheduling, latency budgets) into actionable product roadmaps. Strong communication skills; you can seamlessly translate technical requirements to business stakeholders and articulate business goals to engineering teams. Preferred Qualifications: Prior professional experience as a Machine Learning Engineer, Data Scientist, or Backend Software Engineer before transitioning into Product Management. Understanding of the Ad Tech ecosystem (bidding, ranking, targeting). Experience implementing or managing systems that support Generative AI/LLM workflows (Agentic automation, Prompt iteration, Fine-tuning, RAG). Perks and Benefits: 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago) Competitive salary and equity options Comprehensive health benefits (medical, dental, vision) & workplace perks (home office set up stipend etc) Generous 401k matching Flexible vacation policy Paid parental leave (4+ months) Family planning support Paid volunteer time off #LI-AS1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Milan Workplace: Hybrid Your opportunity: Since 2004, we've had one clear goal: to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies use Mollie to get paid, manage money and grow, with products designed to be simple, scalable, and dependable. With 950+ Mollies across 14+ locations, we care deeply about autonomy and craft. So we work in small teams, with real ownership, and we trust you to make the right decisions. We're building for the long term, so we provide the tools you need, processes you can rely on, and a balanced work environment to help you do work you're proud of. Sound like your kind of place? Let's build together. As a hands-on Engineering Manager, you'll lead a team of skilled engineers in defining and delivering the technical roadmap for our products. Collaborating with cross-functional teams, you'll help shape product strategy and direction, while representing engineering in key technical discussions. Your work will directly influence product quality, scalability, and innovation, playing a critical role in our overall success. What you'll be doing: - Lead a growing team of application engineers, with a hands-on leadership approach expected from all engineering managers - Bring strong technical expertise and a proven track record in large-scale distributed systems and/or guiding teams through complex technical transitions - Drive strategic technical decisions in collaboration with cross-functional teams, and lead cross-domain technical initiatives that align with overall business and product goals - Identify improvements within the team, propose actionable solutions, and coordinate efforts to improve team velocity and effectiveness - Help shape the broader domain vision, influence strategic direction, and set goals for ongoing product improvement - Balance hands-on engineering with big picture thinking, taking pride in mentoring and developing high performing teams - Maintain a results driven mindset focused on delivering impact at scale and speed What you have: - Management Experience: Preferably 2+ years of managing multidisciplinary teams, with a proven ability to recruit, retain, and grow top engineering talent. - Leadership Skills: Demonstrated ability to lead, coach, and mentor engineering teams. Excellent communication, interpersonal, and collaboration skills. You are a great active listener. - Engineering Excellence: Significant hands-on experience in various contexts, building scalable, robust, and fault-tolerant systems and full-stack products, preferably on the JVM or PHP stacks. - Product Sense: A strong understanding of product development principles and a customer-centric approach. - Bias Towards Action: Balance speed and quality, make quick decisions, and learn from mistakes. - Problem-Solving Ability: Strong analytical and problem-solving skills, with a passion for finding creative solutions to complex challenges. - Passion and Energy: Demonstrate ownership and enthusiasm, seeing new tasks as opportunities to contribute and grow. - Always Be Shipping Mindset: It’s about consistently delivering value to customers, where speed and quality go hand in hand. *Kindly note relocation support is not offered for this position unfortunately.

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. Summary GiveWell is seeking a Senior New Areas Researcher to help direct tens of millions of dollars annually to the most cost-effective interventions we can find. You will have an outsized influence on our funding decisions and help us save and improve lives on a global scale. The New Areas team grantmaking is divided into three workstreams: i) our core cause areas: areas for which we devote a significant amount of time developing subject-matter specific expertise and networks, a thorough research agenda, and a large portfolio of grants (e.g., family planning, maternal and newborn health, tuberculosis and HIV); ii) our emerging cause areas: a broader set of cause areas for which the New Areas team is starting to build its expertise, networks and research agenda, and is making some initial grants (e.g., medical oxygen, applications of AI to global health); and iii) our incubators: supporting the Clinton Health Access Initiative’s Incubator and Evidence Action’s Accelerator to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. As a Senior New Areas Researcher, you'll create and lead ambitious research agendas related to our portfolios of work and answer complex questions that will inform GiveWell's grantmaking decisions. The researchers on our team combine rigorous evidence review, cost-effectiveness modeling, and thoughtful judgment. We're open to a wide variety of professional development pathways depending on your preferences and our needs. The role You will be joining a small grantmaking team to contribute to our ambitious research agenda on new areas. You'll sift through the countless questions we could try to answer, and hone in on those that matter most. You'll also communicate externally about your work and mentor and advise other researchers on the team. You will shape a research agenda that brings rigor and creativity to the thorniest questions the GiveWell new areas team faces. Your work will combine empirical evidence review and critical synthesis, cost-effectiveness modeling, discussions with subject matter experts, understanding of the broader context, and your own judgment. What you might work on in your first year: Tackle thorny research questions in our existing portfolios. For example: to what extent could programs which distribute oral rehydration solution to reduce diarrheal deaths inadvertently induce exclusively breastfed children to consume poor quality water? How can we estimate the risk of reinfection after a child has completed a course of tuberculosis preventive treatment? How can we account for these concerns in our cost-effectiveness estimates? Design and oversee learning grants. You'll help design impact evaluations for new and existing programs, and supervise researchers executing that work — from scoping the research question through to interpreting results and integrating them into our models. Build our evidence base in new programmatic areas. This includes synthesising existing research, commissioning new reviews, and in some cases funding primary data collection — with the goal of determining whether a new intervention meets GiveWell's cost-effectiveness bar and is ready for major grantmaking. Provide research support to grantmakers. You'll ensure our cost-effectiveness models reflect our best current understanding of the programs we fund — stress-testing assumptions, incorporating new data, and flagging where uncertainty is high enough to warrant further investigation. The Senior New Areas Researcher will help shape a major annual grantmaking portfolio, own grant investigations end-to-end (from research question through grant recommendation), and represent GiveWell to external counterparts. You'll have significant latitude to propose new areas of work. Team structure Our research department has ~70 people, and is currently organized into eight teams: Five of the teams (Livelihoods, Malaria, Nutrition, Vaccination, and Water) 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. 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 We expect the Senior New Areas Researcher to have A quantitatively oriented advanced degree (e.g., in epidemiology, public health, economics, or a related field). Substantial professional experience in global health, or an adjacent field (broadly defined). This could include direct experience with program design, monitoring, or evaluation; epidemiology; cost-effectiveness modelling of health interventions; or work in program implementation or funding at a bilateral, multilateral, or NGO. We're especially interested in candidates who enjoy being generalists: you are able to get up to speed quickly on new topics and you feel comfortable task-switching. 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 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. You constantly assess whether you and the team are working on the most important things. If you’re interested in working on GiveWell’s research team but don’t have new areas expertise, consider applying to our generalist Senior Researcher role, or our Researcher role if you have limited post-graduation experience. 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. We can share a precise figure upon request after the first work trial stage. 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, plus a one week organization-wide summer break 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 quarterly whole-org and department retreats 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 family or other 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. Miscellaneous details: Please apply to only one Senior Researcher posting. If you have deep expertise in this area, this pod-specific role is the right fit. If not, there's no need to apply here — our generalist Senior Researcher role is designed for strong researchers who don't have a single specialization, and you don't need to apply to both. Applying to the generalist role won't put you at any disadvantage! 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’ll consider applications for part-time work. 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: 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. Summary GiveWell is seeking a Senior Nutrition Researcher to help direct tens of millions of dollars annually to the most cost-effective nutrition interventions we can find. You will have an outsized influence on our funding decisions and help us save and improve lives on a global scale. Our nutrition grantmaking currently spans three sub-portfolios: Vitamin A Supplementation (VAS), iron supplementation (including iron and folic acid supplementation and large-scale food fortification), and treatment of acute malnutrition (CMAM/wasting treatment). In 2025, we directed $95 million to implementers across these areas, operating primarily in Sub-Saharan Africa and South Asia. We are actively deepening our work across all three areas, by scrutinising program coverage and quality, strengthening our cost-effectiveness models, considering different delivery platforms, and expanding our grantmaking to new geographies. We are also exploring opportunities to expand our grantmaking into interventions adjacent to our existing portfolios, as well as approaches and programs that are entirely new to GiveWell, where the evidence and cost-effectiveness case is compelling. As a Senior Nutrition Researcher, you'll create and lead ambitious research agendas related to our portfolios of work and answer complex questions that will inform GiveWell's grantmaking decisions. The researchers on our team combine rigorous evidence review, cost-effectiveness modeling, and thoughtful judgment. We're open to a wide variety of professional development pathways depending on your preferences and our needs. The role You will be joining a small grantmaking team to contribute to our ambitious research agenda on nutrition. You'll sift through the countless questions we could try to answer, and hone in on those that matter most. You'll also communicate externally about your work and mentor and advise other researchers on the team. You will shape a research agenda that brings rigor and creativity to the thorniest questions the GiveWell nutrition team faces. Your work will combine empirical evidence review and critical synthesis, cost-effectiveness modeling, discussions with subject matter experts, understanding of the broader context, and your own judgment. What you might work on in your first year: Tackle thorny research questions in our existing portfolios. For example: how should we calibrate our cost-effectiveness estimates to real-world program performance? How do we better understand coverage gaps and program quality across VAS, iron supplementation, and CMAM programs? How can we strengthen the evidence on the impact of VAS and CMAM in modern contexts, when many key trials are decades old but it would be unethical to withhold standard of care in new trials? Design and oversee learning grants. You'll help design impact evaluations for new and existing programs, and supervise researchers executing that work — from scoping the research question through to interpreting results and integrating them into our models. Build our evidence base in new programmatic areas. This includes synthesising existing research, commissioning new research, and in some cases funding primary data collection — with the goal of determining whether a new intervention meets GiveWell's cost-effectiveness bar and is ready for major grantmaking. Provide research support to grantmakers. You'll ensure our cost-effectiveness models reflect our best current understanding of the programs we fund, by stress-testing assumptions, incorporating new data, and flagging where uncertainty is high enough to warrant further investigation. The Senior Nutrition Researcher will help shape a major annual grantmaking portfolio, own grant investigations end-to-end (from research question through grant recommendation), and represent GiveWell to external counterparts. You'll have significant latitude to propose new areas of work. Team structure Our research department is currently organized into eight teams: Five of the teams (Livelihoods, Malaria, Nutrition, Vaccination, and Water) 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. 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 We expect the Senior Nutrition Researcher to have: A quantitatively oriented advanced degree (e.g., in epidemiology, statistics, economics, public health, nutrition or related fields) Substantial professional experience relevant to nutrition. We interpret this broadly: The majority of our work to date has been nutrition programming delivered through the health sector, but we are also interested in other sectors (e.g. agriculture/food systems) that directly affect nutrition outcomes. Relevant professional experience could include: research roles (e.g. clinical nutrition research; epidemiological or health economics modeling), program roles (e.g. design and implementation, or monitoring and evaluation); funding roles (e.g. grantmaking or impact investing); or other roles in public sector, private sector or non-profit organizations that save and improve lives by addressing malnutrition. 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 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. You constantly assess whether you and the team are working on the most important things. If you’re interested in working on GiveWell’s research team but don’t have nutrition expertise, consider applying to our generalist Senior Researcher role, or our Researcher role if you have limited post-graduation experience. 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. We can share a precise figure upon request after the first work trial stage. 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, plus a one week organization-wide summer break 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 quarterly whole-org and department retreats 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 family or other 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. Miscellaneous details: Please apply to only one Senior Researcher posting. If you have deep expertise in this area, this pod-specific role is the right fit. If not, there's no need to apply here — our generalist Senior Researcher role is designed for strong researchers who don't have a single specialization, and you don't need to apply to both. Applying to the generalist role won't put you at any disadvantage! 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’ll consider applications for part-time work. 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: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE At Ramp, people are the single biggest lever on our trajectory, and the bar for who joins this team gets higher every quarter, not lower. We're hiring a Recruiter who treats recruiting as a research discipline as much as a relationship one: someone who can map a market, identify the operators who'll outperform their peers, and run a full-cycle process that wins them. You'll own end-to-end hiring across Sales and GTM functions, from first conversation through offer close, and partner with GTM leadership to translate ambitious hiring plans into real teams. The recruiters who do this best at Ramp combine craft on the front end (research, identification, calibration) with execution on the back end (closing, candidate experience, pipeline discipline). We're looking for both. WHAT YOU'LL DO - Use AI and research to find top talent. You'll build target lists of high performers at peer and aspirational companies using LinkedIn Recruiter, Sales Navigator, Gong signals, internal data, and AI tools like Claude. We expect AI to be part of your daily workflow, not a novelty, but a core part of how you identify, qualify, and reach candidates. - Calibrate quickly and map the market. For every new search, you'll develop a clear point of view on what "great" looks like, who fits the profile, and where to find them, then share that POV with hiring managers as a written artifact rather than just a slate of resumes. - Run thoughtful, personalized outreach. The best replies come from outbound that's grounded in real research, a candidate's territory, deal motion, or recent move. We care more about reply rate and onsite conversion than send volume. - Own the full cycle, from first outreach through offer close, including pipeline hygiene in Ashby, stakeholder updates, and offer construction. - Close candidates with competing offers. Many of our strongest GTM hires are weighing multiple options, and you'll partner with hiring managers and leadership to build conviction, sequence references, and run a closing motion that wins on substance. - Be a strategic partner to GTM leaders. Push back when a search is mis-scoped, surface compensation reality early, and translate hiring-manager wishlists into a concrete profile within days. - Deliver an excellent candidate experience that's fair, transparent, and fast. Feedback is honest; offers move in days, not weeks. - Improve how we hire by contributing to process changes, comp benchmarking, employer brand, and how Ramp evaluates GTM talent. WHAT YOU NEED - 5+ years of full-cycle GTM/Sales or G&A recruiting, ideally in a high-growth or top-tier startup environment where the bar was non-negotiable. - A real track record of identifying strong talent, not just running searches that closed. Bring examples of candidates you found, ran a process for, and who became top performers. - Comfort using AI in your day-to-day workflow. You already use LLMs to research candidates, draft personalized outreach, summarize calls, or surface signals from messy data, or you're eager to. We see AI fluency as core to how recruiting works going forward. - Research instincts. You can articulate why a given candidate is in the top decile of their cohort, not just that they have the right title at the right company. - Closing skill. You've personally closed senior hires against competing offers from top-tier companies. - Data literacy. You're comfortable in Ashby (or equivalent ATS) and with funnel metrics, and willing to challenge a hiring manager with the numbers when needed. - High urgency operating mode. You book next steps on the call, not after, and you own the candidate's experience through to signature. - Excellent written communication. Your outbound and your candidate updates are the work product, and they should be specific, sharp, and not template-driven. NICE-TO-HAVE - Direct experience recruiting AEs, Sales Managers, RevOps, or Sales Leadership at a high-growth fintech, SaaS, or infra company. - Experience building or contributing to an AI-augmented research workflow. - Familiarity with Ashby, LinkedIn Recruiter, Sales Navigator, and Gong. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Munich, Germany About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Native German speaker with fluent English proficiency Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . About the role AI-powered and agentic developer tools are changing what is possible, creating an opportunity to rethink how engineers write, test, review, ship, and operate software. At Reddit’s scale, that means building tools that are not only more intelligent, but also faster, more reliable, easier to use, and grounded in strong engineering fundamentals. This role sits at the center of that work: designing and building the platforms, services, systems, and workflows that improve how Reddit engineers develop software. You’ll work across backend systems, infrastructure, developer tooling, and AI-powered workflows to solve problems that affect hundreds of engineers across the company. You’ll collaborate closely with teams that own CI/CD, infrastructure, security, and product systems, as well as engineering teams across Reddit that rely on these tools every day. We’re looking for someone with strong engineering fundamentals, infrastructure experience, product judgment, and a real interest in developer experience and developer productivity. Some of our present and future challenges include: Designing and building the next generation of developer tooling, including agentic and AI-powered workflows. Improving developer velocity, confidence, and service reliability across Reddit Engineering. Building tools and workflows that make writing, testing, reviewing, and shipping code easier. Scaling our infrastructure, services, APIs, and processes to serve a growing engineering organization. Understanding internal users’ needs and turning that understanding into meaningful product and technical improvements. Building integrations across Reddit’s existing infrastructure, CI/CD, security, source control, deployment, and operational systems. Investigating, building, and integrating novel technologies where they solve real problems for developers. You’ll draw on your backend, infrastructure, and platform engineering experience to build developer tooling that is scalable, reliable, easy to use, and valuable to a growing engineering organization. You’ll work directly with engineers across Reddit to understand their pain points, shape solutions, incorporate feedback, and communicate the impact of the team’s work. What You’ll Do Work cross-functionally across Reddit Engineering to understand developer needs, quickly prototype solutions, and iterate based on feedback. Design and build backend systems, APIs, infrastructure, and platform capabilities that improve developer workflows across Reddit. Build scalable and reliable systems across both AI-powered developer workflows and the core non-AI systems engineers rely on every day. Lead high-impact projects across Reddit’s developer tooling ecosystem by writing and reviewing code and design docs, aligning stakeholders, and making pragmatic technical tradeoffs. Build tools and integrations that connect developer workflows with Reddit’s existing infrastructure, CI/CD, security, source control, deployment, and operational systems. Design and implement maintainable APIs, services, libraries, and platforms that support internal developer tooling at scale. Improve the team’s tools, processes, and best practices while raising the bar for reliability, usability, scalability, and maintainability. Mentor engineers and help shape a roadmap that reflects real developer needs and delivers meaningful improvements to Reddit’s engineering organization. You Have 5+ years of hands-on, post-grad, non-internship professional software development experience, with backend, infrastructure, or platform engineering as a core strength. 3+ years of industry experience working on large-scale distributed systems, including building and improving highly scalable and reliable services. Strong proficiency with Go, and significant experience with Go in production systems. Experience designing and implementing maintainable APIs using technologies such as GraphQL, REST, HTTP, or gRPC. Experience building platforms, developer tools, libraries, frameworks, or internal systems used by other engineers. Experience with infrastructure, Kubernetes, cloud providers, or other systems that support modern software development and delivery. Hands-on experience using AI-powered developer tools and workflows, with curiosity and judgment about where these tools can meaningfully improve developer productivity. A track record of leading large, ambiguous, high-impact projects that require cross-team collaboration, technical judgment, stakeholder alignment, and clear ownership from problem definition through delivery. A user-focused mindset, with strong empathy for internal engineering users and a focus on usability, reliability, scalability, and quality. Excellent communication skills, with the ability to influence technical direction and navigate complex requirements across technical and non-technical stakeholders. Experience mentoring engineers, raising the technical bar, and helping teams make pragmatic tradeoffs. A self-directed, action-oriented approach. You are comfortable operating in ambiguity, learning quickly, and driving work forward even when the path is not fully defined. Bonus Points Experience working in developer experience, developer productivity, internal platforms, or developer tooling. Experience building tools or workflows for internal engineering users. Experience building or extending CI/CD systems, and partnering with teams that own build, test, and release workflows. Experience with GitHub Enterprise Server or large-scale source control platforms. Experience with Python. Experience measuring the impact of platform or developer productivity work through experimentation, measured rollouts, analytics, reliability metrics, or qualitative feedback. Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 — $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Houston, TX The Michels Preconstruction Services, Inc. team plays a critical role in the development of large, complex energy, infrastructure, marine and transportation projects. The Preconstruction Services team consists of construction and technical professionals working with one another and with customers to develop creative solutions for turning construction ideas into reliable outcomes. Like our field construction teams, our Preconstruction Services team takes into consideration the safety, social and environmental responsibility, and the health and wellbeing of our people and the communities in which we work. We strive to make a difference in positive, respectful, and responsible ways. Our work improves lives. Find out how a career as an Alternative Delivery Manager can change yours. As an Alternative Delivery Manager, responsibilities include providing direction and management for all phases of alternative/collaborative delivery projects. This position requires involvement in all phases of an alternative/collaborative delivery project lifecycle from business development, teaming, pursuits & proposals, and active contract and design management. It is essential to be goal oriented, organized, and professional in order to exceed client expectations. Critical for success in this position is excellent verbal and written communication skills, the ability to multitask while managing work both with internal Michels teams and external partner and client teams, as well as the ability to quickly make well informed decisions. Why Michels Preconstruction Services, Inc.? We are consistently ranked among the top 10% of Engineering News-Record’s Top 400 Contractors Our steady, strategic growth revolves around a commitment to quality We are family owned and operated We invest an average of $5,000 per employee on training each year We offer a comprehensive benefits package, including health, dental and vision, competitive paid time off plans and much more! We reward hard work and dedication with limitless opportunities We believe it is everyone’s responsibility to promote safety, regardless of job titles. Michels offers a comprehensive benefits program, including Health, Dental, Life, Flexible Spending Accounts, Health Savings Account, Short Term and Long Term Disability Insurance, 401(k) plan, Legal Plan, and Identity Theft and Monitoring Plan. Depending on your position and location you may participate in a different benefit plan. Why you? You thrive in fast-paced environments under tight deadlines You relish new challenges and evolving technology You proactively build and sustain relationships with clients and general/ sub-contractors, both while on the job and through networking outside of work. You like to proactively communicate with client and your team at all times You enjoy providing leadership and project management guidance on design build pursuits and project delivery You have a drive to get results What it takes: Bachelor’s Degree in Construction Management or Civil Engineering, 5+ years of project management, construction management experience, or an equivalent combination Construction experience in transportation engineering or transportation construction projects, including, but not limited to, Highway DOT, bridges, foundations, retaining walls or federal projects PE & DBIA Certification (Desired) Experience and understanding of alternative delivery projects, including, but not limited to, design build, CMGC, or progressive design build Travel requirements will vary but could exceed 50% depending on assignment and project requirements Experience in key project leadership roles Considerable experience in client management on project pursuits, as well as in project delivery Understanding and experience with win strategies, pricing and project scheduling Experience in technical writing Understanding of Scheduling, Estimating and Project Controls Software A valid driver license for the type(s) of vehicles you may be driving and an acceptable driving record #LI-SW1 AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

О ПРОЕКТЕ Команда занимается развитием внутренней AI/ML-платформы, AutoML, разработкой LLM/NLP-решений, мониторингом качества моделей на крупном финтех-проекте. ПРЕДСТОЯЩИЕ ЗАДАЧИ • Разработка и развитие ML/LLM-сценариев для production; • Работа с AutoML, NLP и RAG-пайплайнами; • Оптимизация качества и стабильности ML-решений; • Интеграция с MLOps/DE-инфраструктурой; • Быстрое прототипирование и проектирование AI-решений. ОЖИДАНИЯ ОТ КАНДИДАТА • 3+ лет опыта в DS/ML; • Хороший Python и уверенный ML-стек (Sklearn, CatBoost/LightGBM/XGBoost, Pandas, NumPy), опыт с табличными данными; • Опыт с LLM/NLP (для проекта в данном направлении); • Опыт работы с Spark/Hadoop/Hive; • Понимание production ML-процессов. БУДЕТ ПЛЮСОМ • PyTorch / DL; • Open-source contribution; • Full-stack опыт. УСЛОВИЯ РАБОТЫ • Оформление по ТК или ИП в аккредитованную ИТ-компанию; • Сильная инженерная команда и обмен экспертизой; • Гибридный или удаленный формат работы (РФ!); • ДМС со стоматологией с 1-го дня; • Предоставление техники (на выбор, по запросу).

Location: Taiwan (Remote) 岗位概述 负责高价值客户的开发与维护，深入了解各家产品与解决方案，通过专业够听和定制化的解决方案，推动交易、资产及收入等关键指标的持续增长。该岗位高度 KPI 导向，需要强目标感、快速学习能力，同时能接受高强度出差。 主要工作职责 1- 开发与拓展 通过多渠道（线下拜访、行业会议、社群、转介绍等）挖掘并开发潜在高价值客户（包括但不限于专业交易者、家族办公室等）。 能够快速画像并识别高潜力目标客户，建立并维护客户线索池和跟进节奏。 2- 客户关系管理与业绩达成 建立并维护稳固的客户关系，定期Review，了解用户交易需求、资金规模与产品需求。 对所负责客户的 资产规模、交易量、收益贡献等关键指标（KPI）负责 ，按月度/季度完成业绩目标。 3- 产品与解决方案咨询 深入理解各家主流交易平台的各产品条线（如：现货、合约、期权、Earn/理财、结构化产品等），能够为客户提供对比分析和专业建议。 收集客户需求与痛点，协同产品、运营等团队，为重点客户提供定制化解决方案。 4- 行业洞察与学习 持续跟进行业动态、竞品策略和新产品形态，快速掌握并消化新知识，形成对客户有价值的观点与建议。 定期输出客户/市场反馈与竞品情报，为内部策略和产品迭代提供一线视角。 任职要求 至少 2 年及以上 web3 行业工作经验 ，对主流交易所、钱包、托管、DeFi 等产品有实际使用或服务经验。 能够 快速识别与筛选目标客户 ，具备优秀的沟通谈判技巧与关系维护能力，有高潜力客户的客户关系管对金融市场、衍生品、风险收益等有基本认知，有银行、券商、资管等金融背景者优先。理、客户服务和运营等相关工作经验优先； 明确的 KPI & 结果导向 ，习惯用数据衡量业绩。 能接受 高强度工作节奏与频繁出差 / 拜访 。 自驱力强，抗压能力好，能够在不确定环境中找到路径并推动落地。 能够 中英文双语工作（听说读写）； 本科及以上学历， 金融、经济、会计、数学、统计、计算机等相关专业优先 。 Role Overview Responsible for acquiring and managing high-value clients, developing a deep understanding of different products and solutions across platforms, and driving sustainable growth in trading volume, assets and revenue through professional consultation and customized solutions. This is a highly KPI-driven role that requires strong goal orientation, fast learning ability, and the ability to handle frequent business travel. Key Responsibilities 1- Client Acquisition & Expansion Identify and acquire potential high-value clients (including but not limited to professional traders, family offices, etc.) through multiple channels such as in-person visits, industry events, communities and referrals. Quickly profile and identify high-potential target clients, maintain a structured lead pipeline and follow-up rhythm. 2- Client Relationship Management & Target Delivery Build and maintain strong, long-term relationships with clients; conduct regular reviews to understand their trading needs, capital scale and product preferences. Take full responsibility for key KPIs of your client portfolio, including asset under management, trading volume and revenue contribution, and achieve monthly/quarterly performance targets. 3- Product & Solutions Advisory Develop an in-depth understanding of major product lines on leading trading platforms (e.g. spot, perpetuals, options, Earn/wealth management, structured products, etc.) and provide professional comparison and recommendations to clients. Gather client needs and pain points, and work with product, operations and other internal teams to deliver customized solutions for key clients. 4- Industry Insight & Continuous Learning Continuously track industry trends, competitor strategies and new product types; quickly absorb new knowledge and translate it into valuable insights and suggestions for clients. Regularly share client/market feedback and competitive intelligence to provide frontline input for internal strategy and product iteration. Requirements At least 2 years of work experience in the Web3 industry , with hands-on usage or service experience related to major exchanges, wallets, custody solutions, DeFi products, etc. Able to quickly identify and qualify target clients , with strong communication, negotiation and relationship-building skills. Experience in managing high-potential client relationships, client service or account operations is preferred. Basic understanding of financial markets, derivatives and risk–return; background in banking, securities or asset management is a strong plus. Clear KPI & result orientation , and comfortable using data to measure and manage performance. Comfortable with a high-intensity work pace and frequent travel / client visits . Strong self-motivation and resilience, able to find paths forward and drive execution in an uncertain environment. Able to work in both Chinese and English (listening, speaking, reading and writing) . Bachelor’s degree or above; majors in Finance, Economics, Accounting, Mathematics, Statistics, Computer Science or related fields are preferred. 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: Dubai, United Arab Emirates Müller’s Solutions is seeking an experienced and results-driven ServiceNow Service Delivery Manager to oversee the delivery and performance of our ServiceNow solutions. In this role, you will be responsible for managing service delivery teams, ensuring alignment with business goals, and driving continuous improvement in ServiceNow platform operations. Key Responsibilities: Take full responsibility for the overall delivery of the ServiceNow platform services, encompassing: Continuous operations and support, ensuring the platform is always available, reliable, and performing optimally to meet organizational needs. Enhancements driven by the backlog, prioritizing and implementing improvements and new features that align with business objectives and user feedback. Coordination of releases and deployments, managing schedules, resources, and communication to guarantee smooth transitions and minimal disruption. Serve as the main escalation point and decision-maker for delivery-related issues, ensuring that: Problems are resolved quickly through effective troubleshooting, root cause analysis, and engagement with relevant teams. Risks are effectively controlled by proactively identifying potential issues and implementing mitigation strategies. Delivery obligations are fulfilled in accordance with agreed timelines, quality standards, and contract requirements. Collaborate closely with stakeholders to: Comprehend and prioritize demands, balancing competing needs to deliver maximum value to the organization. Question and verify requirements when necessary, ensuring clarity, feasibility, and alignment with strategic goals. Guarantee alignment between business objectives and platform capabilities, facilitating seamless integration and optimal use of ServiceNow features. Provide strong leadership to the delivery teams, which include: Technical consultants and developers, guiding them to apply best practices, innovate, and maintain high code quality. Business analysts, supporting requirement gathering, documentation, and communication between business and technical teams. QA and support personnel, ensuring thorough testing, issue identification, and responsive support services. Lead delivery governance and uphold standards, ensuring: Consistent development practices that adhere to organizational policies and industry standards. Controlled release processes that minimize risk, ensure quality, and provide clear documentation. Alignment to platform design and reuse principles, promoting efficient, maintainable, and scalable solutions. Ensure quality and accountability across delivery, including: Reviewing progress against commitments, conducting regular status meetings and reporting to stakeholders. Monitoring delivery KPIs and SLAs, analyzing performance data to identify trends and areas for improvement. Supporting issue resolution and performance improvement initiatives to enhance service quality and customer satisfaction. Act as a trusted point of contact for stakeholders, capable of: Representing technical and functional decisions clearly and effectively, bridging communication between business and IT teams. Managing expectations and resolving conflicts diplomatically to maintain positive relationships and project momentum. Standing behind delivery teams with confidence, advocating for resources, and providing guidance to overcome challenges. Support continuous improvement of service delivery, including: Identifying inefficiencies and bottlenecks through regular process reviews and feedback collection. Driving optimisation of processes and workflows to increase efficiency, reduce costs, and improve user experience. Promoting effective use of ServiceNow capabilities by encouraging adoption of new features, best practices, and ongoing training. Requirements 7 to 10+ years of experience in Service Delivery, with extensive knowledge of ServiceNow platforms, including: In-depth understanding of various ServiceNow modules and features such as: ITSM ITOM / CMDB HRSD / enterprise services CSM Capable of: Confidently engaging with both technical teams and business stakeholders Critically evaluating requirements and assumptions when necessary Converting high-level requirements into actionable delivery strategies Demonstrated experience in managing: Multiple ServiceNow delivery streams, including operations and enhancements Backlog-driven development prioritization Cross-functional teams Strong knowledge of: Service delivery models and governance frameworks Management of SLAs and KPIs Release and change management procedures Ability to: Assertively participate in stakeholder discussions and justify delivery decisions Effectively support and represent delivery teams Maintain control in complex or high-pressure situations Preferred Qualifications: ITIL Foundation or higher certification ServiceNow Certified System Administrator or other relevant certifications Experience working with Agile methodologies and project management tools Familiarity with automation and workflow optimization within the ServiceNow platform Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's inference fleet serves Claude to millions of users across our own products and the world's largest cloud platforms. The stack that makes this possible is deep and tightly coupled: accelerator kernels, model servers, distributed routing, autoscaling, capacity management. Every layer affects the others, often in ways that are hard to see in isolation. The Inference System Dynamics team is responsible for understanding that whole system and holding it to a high bar across four dimensions: throughput, latency, reliability, and correctness . We measure how the fleet performs against its theoretical performance frontier, run cross-layer investigations to explain the gaps, and own the correctness checks that make sure Claude's outputs are right, not just fast, across hardware platforms and serving configurations. We don't own the individual components. We instrument and model them, find the highest-leverage opportunities across them, and partner with the owning teams to land the wins. You'll work across all four areas. One week that might mean tracing a tail-latency regression from request timing down through routing and batching into a kernel overhead; the next it might mean tightening a correctness eval so it catches an output regression introduced by a quantization change. We're looking for performance engineers who treat correctness as part of performance. Key Responsibilities Run cross-layer performance investigations across throughput, latency, and reliability, sizing the gap between actual fleet performance and theoretical rooflines, identifying root causes, and quantifying the value of closing them Own and improve the correctness evaluation pipeline that validates model output quality across hardware platforms, numerics, and serving configurations, and lead the investigation when it catches a regression Build the observability, dashboards, and modeling tools that make throughput, latency, cost, reliability, correctness, and their interactions legible across the stack Partner with kernel, serving, routing, autoscaling, and capacity teams to prioritize and land the highest-impact optimizations your analysis surfaces Ruthlessly stack-rank a large surface area of opportunities by impact and effort, and say no to the ones that don't make the cut Minimum Qualifications Hands-on performance engineering experience: profiling, roofline analysis, latency/throughput optimization, and root-cause investigation in complex production systems Proficiency in Python, with the ability to read, instrument, and contribute to large production codebases you didn’t write Solid data analysis skills (e.g. SQL, pandas, or similar) sufficient to turn raw telemetry into clear findings Ability to communicate quantitative results clearly in writing to influence priorities on teams you don't manage Genuine interest in correctness as an engineering discipline: numerics, evaluation design, regression detection Preferred Qualifications Experience with ML systems, especially training or inference infrastructure or general LLM serving stacks. Direct large-scale inference experience is a strong plus Familiarity with GPU/TPU/accelerator performance concepts (memory bandwidth, kernel overheads, quantization, collective communication). Reasoning about these matters more than having written kernels yourself Experience with reliability engineering for high-throughput services: autoscaling, load balancing, request routing, tail latency Experience with model evaluation or numerical regression-detection pipelines Experience building observability or telemetry for distributed systems Comfortable having impact through influence and evidence rather than direct ownership Representative Projects Trace a 350ms latency gap on a new accelerator platform from end-to-end request timing down to a server scheduling overhead, quantify the win, and land the fix directly or with the owning team Redesign the correctness eval gate: determine which signals reliably catch real model-output regressions versus noise, and make it the trusted release criterion across hardware backends Build a FLOPs funnel that breaks down where compute actually goes across the fleet, exposing the gap between achieved throughput and kernel rooflines Root-cause a numerical divergence between two hardware platforms to a specific kernel change, and define the acceptance threshold going forward Model the latency–cost impact of changing batch-sizing and utilization targets, and turn the result into the signal the autoscaler uses in production Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: All Creatures Veterinary Clinic - Wasilla, Alaska Licensed Veterinary Technician (LVT) in WASILLA, ALASKA ALL CREATURES VETERINARY CLINIC is seeking a Licensed Veterinary Technician to support our 4 -Doctor practice. Our FT techs work 4-10hr days. Pursue your Work Life balance at the crossroads of Alaskan adventure in the spectacular Mat-Su Valley!  Wasilla is a bustling town that has numerous creeks, lakes and gorgeous mountain views.  You will have access to fishing, hiking, running, mountain biking and cross-country ski trails. All Creatures Veterinary Clinic is a multi-doctor, general veterinary practice, providing care for companion animals. Our team of compassionate and caring staff provide for the needs of both the pet and their owners. When All Creatures opened in 1984 it quickly became known for providing exemplary pet care. Benefits include but are not limited to paid time off, paid holidays, health, dental, vision, life insurance, referral programs, 401k, team member discounts, CE, personal health and wellness support platforms, uniform allowance, and more! Pay - $25-$30 per hour For more information about our hospital, please visit https://allcreatures.bz/ To apply, please contact Christine Erickson at christine.erickson@lakefieldvet.com or apply at careers.lakefieldvet.com .

Location: Singapore Office; Singapore Workplace: Hybrid The Business Development & Partnerships team plays an important role in our go-to-market strategy by building and scaling the ecosystem that surrounds Chainalysis, from technology alliances to system integrators and resellers. The team is responsible for identifying and developing inorganic growth opportunities, unlocking new routes to market, and fostering a diverse partner ecosystem that amplifies our reach while making it easier for customers to buy and deploy Chainalysis. The Channel Partnerships Manager, APAC will own the day-to-day management of channel partners across the region, with a focus on activating, enabling, and growing a defined set of channel partners. This role is focused on regional execution and will be responsible for helping partners and internal field teams work together more effectively to drive pipeline, revenue, and market coverage in APAC. In this role, you’ll: - Build strong working relationships with key partners in-region, including resellers, distributors, MSPs, and SI partners, and serve as the primary point of contact for partner engagement within the geo. - Drive partner enablement so partners can effectively position Chainalysis, qualify opportunities, navigate sales plays, and work within our channel processes and requirements. - Develop and execute joint plans with priority partners in APAC to increase partner-sourced pipeline, improve partner engagement, and expand partner contribution to regional growth. - Work closely with regional sales leaders, AEs, RevOps, Marketing, and Partnerships to align partners to the right accounts, opportunities, and go-to-market motions in-region. - Identify high-potential regional partners to prioritize, grow existing partner performance, and help recruit new partners where there is clear market opportunity or coverage need. - Support internal field enablement in APAC so sellers understand when and how to engage partners, the relevant program guidelines, and how to work effectively with indirect routes to market. - Run a consistent operating cadence with top partners, including business reviews, pipeline check-ins, account mapping, and escalation management where needed. - Track partner activity and outcomes in partnership with RevOps and sales, including partner-sourced pipeline, training progress, and overall partner performance in the region. - Coordinate closely with the broader Partnerships team to ensure regional execution is aligned to the overall program while remaining focused on in-market partner activation and revenue growth. We’re looking for candidates who have: - Proven experience managing channel, reseller, distributor, MSP, VAR, and SI relationships at a B2B technology company. - Demonstrated ability to enable partners effectively, including training on value proposition, sales plays, qualification, and how to work opportunities with internal sales teams. - Experience driving measurable business outcomes through partners, including partner-sourced pipeline - Strong cross-functional collaboration skills, with experience working closely with sales, marketing, RevOps, and other internal stakeholders to execute partner plans. - Strong commercial judgment and execution skills, including the ability to prioritize partners, manage competing opportunities, and navigate ambiguity in a fast-moving environment. - Experience working in APAC or in a multi-country region with different market dynamics, sales motions, and partner maturity levels. - Strong communication and stakeholder management skills, with the ability to build credibility internally and externally. - Knowledge of the crypto and blockchain ecosystem, and the ability to ramp quickly on Chainalysis products, use cases, and customer needs in order to enable partners effectively. - Background in crypto, financial services, public sector, fintech, cybersecurity, or risk/compliance software. Nice to have experience: - Experience with PRM tools, deal registration processes, account mapping, and partner performance tracking. - Experience building channels in an environment where direct sales and indirect routes to market must coexist and be carefully governed. - Comfort working across time zones and in a highly matrixed global organization. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.