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Location: Hungary; Romania; Bulgaria; Portugal; Germany; United Kingdom About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and Logistics. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We are seeking a highly driven German speaking SDR with recent experience in the logistics or supply chain industry. This role is ideal for someone who understands freight, shipping, or logistics workflows and can confidently engage decision-makers in relevant industries. You will be responsible for generating qualified leads, initiating outbound sales efforts, and booking meetings for senior sales executives. Key Responsibilities Conduct high-volume outbound prospecting (cold calls, emails, LinkedIn outreach) targeting logistics decision-makers Identify and qualify potential clients within freight, supply chain, and e-commerce sectors Build and maintain a strong pipeline of qualified leads Schedule discovery calls and product demos for Account Executives Clearly communicate the company’s logistics solutions and value proposition Maintain accurate records of outreach and pipeline activity in CRM systems (e.g., HubSpot, Salesforce) Collaborate with marketing and sales teams to refine outreach strategies Stay up-to-date with logistics trends, shipping challenges, and industry terminology Requirements Recent experience in logistics, freight, supply chain, or transportation is essential (no more than 2 years ago) 1–3+ years of experience in a Sales Development Representative (SDR) or outbound sales role Strong understanding of logistics operations (e.g., freight forwarding, last-mile delivery, warehousing) Proven track record of meeting or exceeding lead generation or booking targets Experience using CRM tools such as HubSpot, Salesforce, or similar Excellent communication and objection-handling skills Comfortable with cold outreach and high-volume activity Highly organized with strong attention to detail Ability to work independently in a remote environment Benefits 🌎 Fully remote role with a flexible work environment 📈 Clear career progression into Account Executive or senior sales roles 🚀 Work with a high-growth logistics company in a booming global industry 🎯 Performance-driven culture with incentives and recognition programs 🤝 Structured onboarding and ongoing sales training 🔒 Long-term opportunity with stability and growth potential

Location: New York, NY Workplace: OnSite About the Company Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world. You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk. Our Ethos We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company. About the Team You'll be the lead iOS engineer at Rain, owning mobile alongside the lead Android developer from the ground up. Our partners use Rain's issuance platform and APIs to power card programs, wallets, and payment experiences for their end users, and you'll be the person who brings those experiences to life on iOS. You'll work directly with product, design, and our platform engineering team to define what great mobile looks like for Rain's clients and their customers. What you’ll do - Own the entire iOS development lifecycle, from architecture and implementation to App Store delivery - Build polished, production-grade mobile apps that leverage Rain's issuance platform and APIs for clients and their end users - Collaborate closely with product, design, and backend engineers to define the mobile roadmap and translate platform capabilities into intuitive native experiences - Architect a clean, scalable codebase that can serve as the foundation as the mobile team grows - Integrate with Rain's APIs for card issuance, transaction management, balance queries, and other payment flows - Implement secure authentication, tokenization, and data handling appropriate for a financial services context - Drive decisions on tooling, frameworks, CI/CD, and testing strategy for mobile - Contribute to the broader engineering culture as an early team member with outsized influence on how we build You are likely to succeed if you have: - 4–10 years of professional mobile development experience, with multiple apps shipped to the App Store - Proficiency in Swift and deep familiarity with Apple's frameworks (UIKit, SwiftUI, Combine, Core Data, etc.) - Experience architecting iOS apps from scratch. You've made foundational decisions on project structure, navigation patterns, state management, and dependency injection - Solid understanding of networking layers, RESTful API integration, and secure data handling - A disciplined approach to code quality: you write testable code, value code review, and care about maintainability - Comfort working autonomously with minimal direction — you'll be the mobile expert in the room - Strong product sensibility: you think beyond tickets and advocate for great user experiences - Excellent communication skills; you can translate technical tradeoffs for non-technical stakeholders Bonus attributes: - Experience in fintech, payments, or crypto/web3 - Familiarity with card issuance, wallet UX, or financial transaction flows - Experience with WKWebView-based hybrid architectures or embedded SDK patterns - Background in building white-label or multi-tenant mobile experiences - Exposure to CI/CD tooling for iOS (Fastlane, Xcode Cloud, Bitrise, etc.) - Experience being the first or early mobile hire at a startup Things that enable a fulfilling, healthy and happy experience at Rain: Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves. Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace. Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan. Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match. Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success. Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you! In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit. Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.

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 . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We are hiring Machine Learning Engineers across our Consumer Engineering organization, giving you the opportunity to work on a wide range of high-impact problems across the Consumer ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On We are looking for a Staff Machine Learning Engineer to help drive the next generation of Reddit’s ML ecosystem across recommendations, search, messaging, and foundational AI systems. You will lead high-impact initiatives from ideation to production, shaping both technical strategy and product direction across multiple ML domains. This is a highly cross-functional role partnering with Product, Data Science, and Engineering to deliver meaningful user and business impact. This role sits at the intersection of: Relevance & recommendation systems (content, search, notifications) AI-powered discovery & LLM-driven experiences Content and user understanding & large-scale representation learning Large-scale ML infrastructure and pipelines What You’ll Do Lead end-to-end ML initiatives from ideation through production and iteration, shaping technical direction and translating product goals into scalable solutions Architect, build and deploy large-scale ML systems across recommendation, search, and content/user understanding, including retrieval/ranking models, representation learnings embeddings optimizations, and LLM or GenAI-powered capabilities Drive measurable impact on user engagement, discovery, and long-term value Collaborate with cross-functional teams to align product and technical roadmaps and unlock key future ML capabilities Stay at the forefront of AI research, evaluating and introducing new AI/ML paradigms to keep Reddit’s ML ecosystem at the cutting edge Contribute to the development of best practices, guidelines, and ethical AI principles for responsible LLM development and deployment Mentor and guide senior and mid-level ML engineers, fostering a culture of excellence, innovation, and knowledge sharing Set technical vision and drive technical discussions, present findings to leadership, and contribute to long-term ML planning and decision-making Required Qualifications 7+ years of experience building, deploying, and operating machine learning systems in production Deep understanding of machine learning methods, spanning classical approaches and modern deep learning (e.g., Transformers, GNN, etc) Expert at developing and productionizing models using TensorFlow, PyTorch, or Hugging Face Transformers Experience building production-quality code incorporating testing, evaluation, and monitoring using object-oriented programming, including experience in Python and Golang Experience designing and scaling ML systems, including data pipelines, feature engineering, model training/serving, and production monitoring Excellent communication and collaboration skills, with the ability to discuss complex technical topics with diverse teams and translating product needs into scalable ML solutions Track record of driving measurable impact through applied machine learning in real-world products Preferred Qualifications Subject matter expertise in one of the following domains: Recommender systems Search systems (lexical and semantic retrieval and ranking) Content understanding (NLU/NLP/LLM, topic/taxonomy modeling, interest graphs or clustering, and multimodal understanding) Familiarity with distributed systems and large-scale data processing frameworks (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Experience with LLM/GenAI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Strong experimentation rigor, with experience formulating clear hypotheses, designing actionable learning plans and building offline/online correlations Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Home Experience ML Understanding Feed Relevance Answer Experience Search and Answers Relevance Search Experience 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 #LI-Remote 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: $230,000 — $322,000 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: Sydney Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. WHAT YOU'LL DO As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra's AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer's thorniest, highest-stakes problems into agents that measurably move their business. - Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it's the best version of itself in the real world. You'll have real ownership and autonomy over the outcome. - Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers' executives, understand what success actually means to their business, and shape the AI strategy that gets them there. - Partner with the customer's working teams day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch. - Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next. EXAMPLE PROJECTS These are the kinds of projects that strategists on our team have worked on recently: - Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers. - Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation. - Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples. - Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner. - Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week. WHAT YOU'LL BRING - Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships. - Communication. Clear, direct, and persuasive across technical and non-technical audiences. - Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast. - Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion. - Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes. EVEN BETTER... - Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts. - You've been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed. - A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: DC/VA/MD/Texas/Ohio/Massachusetts/Colorado/Alabama Forward was founded in 2013 by four Stanford Ph.D.s, building the industry's first network digital twin: a mathematically accurate model of the production network. It's the foundation for autonomous networking, giving engineers and AI agents the ability to know the impact of every change before it touches production. That founding instinct still defines how we work. We're accurate and evidence-driven, relentless about clarity, and we'd rather be certain than comfortable, building a groundbreaking platform that transforms how teams run and secure networks across every major cloud and vendor environment. Global leaders like Goldman Sachs, PayPal, S&P Global, IBM, and Dell trust Forward, alongside fast-growing enterprises and government agencies, realizing an average of $14.2 million in annual benefits, according to IDC. Backed by top-tier investors, including A. Capital, Andreessen Horowitz, Goldman Sachs, MSD Partners, Omega Venture Partners, Section 32, and Threshold Ventures, and headquartered in Santa Clara, we're most proud of our team: curious people who'd rather build what doesn't exist than accept how things have always been done. Forward Networks is looking for an experienced Federal Regional (Air Force) DOD Sales Director: Do you want to create a category and help build a special company? Do you want to sell a platform that solves real networking problems? Do sensible quotas and no cap on earnings pique your interest? Join a company that has been in market 5+ years and has some of the top Federal agencies and F500/Global 2000 already buying and referenceable. If you have 7-10 years of wildly successful experience selling to the federal government ..you may be the one! We are building a special team and hope you consider us if you want to have the experience of changing the networking world as we know it. This role will focus on the Air Force as part of our Federal team. Secret clearance desired Responsibilities Own the development and execution of your sales strategy in territory that aligns with the company’s goals and objectives Identify and qualify leads, and generate new AirForce opportunities in order to achieve quota on a quarterly and annual basis Build strategic working relationships with clients, maintaining a high level of face-to-face contact Analyze potential sales opportunities by using data analysis and segmented research to identify the attributes most valued by our potential clients Develop a deep understanding of the competitive landscape and maintain a client database Maintain a high level of product and industry knowledge Build and maintain a robust pipeline of at least 3x revenue target Clearly explain the value proposition and goals of the Forward Networks solution Requirements: Clearance desired (Minimum Level: Secret) Bachelor's Degree required Minimum 7-10 years in Fed DOD Sales with Air Force experience Proven track record of meeting and exceeding quota in technology sales Deep understanding of the networking and security industry, products, competitors, history, emerging trends and changing marketplace. Experience in selling Enterprise software with an ARR model preferred Must be able to communicate business and technical value to all levels of management Prior experience managing a sales team a plus Excellent communication and listening skills; persuasive Background in IT infrastructure The expected On-Target Cash Earnings for this role is between 320,000-360,000 per year. Within this range, individual pay is determined by several factors including but not limited to, job-related skills, work experience, and relevant education/training

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THE ROLE Join our Enterprise Platform team and build the infrastructure foundations that enable the world's largest organizations to run Replit within their security and compliance boundaries. As a Software Engineer on this team, you'll design and implement the deployment flexibility, networking capabilities, authorization systems, and data controls that enterprises require, from single-tenant architectures and private connectivity to custom policy enforcement and customer-managed encryption. You'll work at the intersection of cloud infrastructure and enterprise requirements, partnering with Platform Engineering, Security, and Sales to ship capabilities that unlock adoption at demanding organizations. WHAT YOU'LL DO - Build enterprise deployment infrastructure: Design and implement single-tenant and dedicated deployment options, enabling customers to run Replit with the isolation guarantees their security posture requires. - Implement private networking capabilities: Build VPC peering, private connectivity, and static IP configurations that allow enterprises to integrate Replit into their existing network architectures. - Design authorization services: Build the authorization infrastructure that enforces custom enterprise policies; enabling fine-grained access controls, custom permission models, and policy enforcement that integrates with customers' existing identity and governance systems. - Ship data protection features: Implement bring-your-own-key (BYOK) encryption, customer-managed keys, and data residency controls that give enterprises ownership over their most sensitive data. - Develop infrastructure automation: Write Terraform modules and automation that enable reliable, repeatable enterprise deployments across regions and configurations. - Debug and harden systems: Dive deep into complex infrastructure problems spanning networking, authorization, Kubernetes, and cloud services to make our enterprise platform more robust and diagnosable. - Partner with go-to-market teams: Collaborate with Sales and Customer Success to understand enterprise infrastructure requirements, scope technical solutions, and unblock deployments. - Contribute to technical strategy: Help define SLAs/SLOs for enterprise infrastructure reliability; participate in build-vs-buy decisions for complex infrastructure capabilities. REQUIRED SKILLS AND EXPERIENCE - 7+ years of experience in Infrastructure Engineering, Platform Engineering, or similar roles. - Strong programming skills in Go, Typescript or Python; you write high-quality, well-tested code. - Experience with Kubernetes and cloud-native technologies in production environments. - Solid understanding of cloud networking: VPCs, peering, private connectivity, load balancers, DNS. - Experience with infrastructure as code (Terraform) and configuration management. - Familiarity with authentication and authorization systems: OAuth/OIDC, RBAC/ABAC models, policy enforcement. - Familiarity with security and encryption fundamentals: TLS, encryption at rest, key management concepts. - Strong debugging skills with an ability to trace issues across distributed systems. - Excellent written communication; you can explain technical tradeoffs clearly to both engineers and non-technical stakeholders. NICE TO HAVE - Experience with Google Cloud Platform (GCP) services, networking, and IAM. - Experience building multi-tenant or single-tenant SaaS infrastructure. - Familiarity with enterprise compliance frameworks (SOC 2, FedRAMP, HIPAA) and how they translate to infrastructure requirements. - Experience with customer-managed encryption keys (CMEK/BYOK) implementations. - Background in developer platforms, cloud IDEs, or developer productivity products. This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Zurich Workplace: OnSite Blockstream was founded in 2014 by Dr. Adam Back and a group of cryptographers and engineers passionate about Bitcoin and its potential to transform financial infrastructure. Today, Blockstream builds secure Bitcoin and Layer-2 technologies used by banks, financial institutions, and enterprises worldwide. We are seeking a Director, Platform & Integration Lead, a senior leadership role responsible for defining how client platforms are technically realized across systems, data environments, and Blockstream infrastructure. This role operates in close partnership with the Director, Industry Lead, Financial Services, translating industry-specific solution strategies and reference architectures into scalable, production-ready platform implementations. While the Industry Lead defines what should be built and why based on market and client needs, the Platform & Integration Lead defines how those solutions are architected, integrated, and delivered at scale. Acting as the bridge between the Head of Solutions and the Head of Delivery, this role ensures that architectural designs are executable, interoperable, and aligned with enterprise-grade integration standards. WHAT YOU’LL BE DOING (RESPONSIBILITIES) - Lead the architecture and integration of multi-system client platforms, connecting banking systems, enterprise infrastructure, and Blockstream technologies - Partner closely with: - Director, Industry Lead, Financial Services to translate industry solution strategy and reference architectures into platform designs - Head of Solutions to refine platform architecture and technical direction - Head of Delivery to ensure systems are buildable, testable, and scalable in production - Define and own the platform integration strategy, including: - API architecture and system connectivity - Data flows, data models, and platform orchestration - Event-driven architectures and messaging systems - Cross-platform interoperability standards - Design how APIs, data pipelines, platform services, and AI-enabled capabilities interact to form unified institutional platforms - Establish and govern integration frameworks and reusable patterns aligned with industry reference architectures defined by the Industry Lead - Guide engineering teams across: - DevOps, CI/CD, and deployment environments - System integration, testing, and validation - Platform scalability, reliability, and performance - Act as the senior authority for cross-platform dependencies, integration decisions, and system-level trade-offs - Ensure alignment between solution architecture (what is designed) and technical delivery (what is built and operated) WHAT WE LOOK FOR IN YOU (REQUIRED QUALIFICATIONS) - 10+ years of experience in platform architecture, enterprise integration, or large-scale system implementation - Proven experience designing and delivering complex, multi-system platforms in banking, fintech, or enterprise environments - Strong expertise in: - API-first architecture - Microservices and event-driven systems - Enterprise data platforms and data integration - Cloud infrastructure (AWS preferred) - Demonstrated ability to translate high-level solution architectures into executable platform designs, working across architecture and engineering teams - Experience collaborating with industry/domain leaders and client-facing architects to operationalize solution strategies - Strong understanding of system interoperability, integration patterns, and distributed system design - Languages: German or Swiss German and English required; French and/or Italian a plus - Location: Switzerland (Zurich/Zug preferred) Nice To Haves (Preferred Qualifications) - Strong knowledge of Bitcoin and blockchain technologies - Experience integrating digital asset infrastructure into traditional banking systems - Background in treasury management, corporate finance, or digital asset custody - Experience with FIX, OMS, PMS, fund administration, accounting, or market data systems - Experience working with or advising banks, asset managers, and institutional clients - Exposure to traditional payment systems and cross-border payment flows - Experience supporting or scaling go-to-market teams in fintech or digital assets

Location: Boston, MA 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, Shore Approaches, 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. This role specifically is focused on International work and Shore Approaches. 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, 10+ years of construction management experience, or an equivalent combination Minimum of 5 years experience in Trenchless Design or Construction is required Construction experience in Marine or Trenchless including HDD, Direct Pipe, Microtunneling WCDA or DBIA certification is desired but not required Experience and understanding of alternative delivery projects, including, but not limited to, design build, EPC 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 This information reflects the anticipated base salary for this position based on current market data. Minimums and maximums may vary based on location. Actual pay will be adjusted based on individual’s skills, experiences, education, and other job-related factors permitted by law. Expected Salary Range $154,000 — $212,000 USD AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Warsaw, Poland WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! Why Box Needs You This Senior Engineering Business Operations Manager will be a key partner for the Engineering Business Operations and Strategy (EBOS) organization, responsible for providing operational support and expertise to Box Engineering teams across the Build organization. This role will have a focus on our EMEA teams. You will guide and prepare teams through planning and reporting processes - including Annual Planning, Quarterly Planning, Quarterly Business Reviews, and monthly Operational Reviews - and drive critical processes for tracking performance metrics and helping leadership measure and report on key goals. We are looking for someone who can help us scale in a way that supports our continued growth. This position reports directly to the Senior Director of EBOS. What You’ll Do Own optimization strategies and recognize opportunities to improve team functions; design and improve operational workflows to reduce friction and increase efficiency. Guide and prepare Engineering teams across EMEA for all planning and reporting processes, including Annual Planning, Quarterly Planning, Quarterly Business Reviews (QBRs), monthly Operational Reviews, and related cadences. Drive and maintain OKR tracking and KPI measurement for engineering teams; build reporting and dashboards that give leadership clear visibility into performance and progress against goals. Partner with Engineering leadership on production support and SLA management; monitor SLA performance, and support resolution and communication. Compile and analyze data from engineering and cross-functional partners to assess performance, identify operational bottlenecks, and support strategic decisions. Create and deliver presentations and materials for leadership and business reviews; ensure consistent, accurate reporting across EBOS and Build organization stakeholders. Collaborate with Product, Engineering, and Finance on planning alignment, resource allocation, and operational initiatives. Support ad-hoc EBOS projects and operational improvements to enable scale and continued growth. Who You Are 5+ years of experience in business operations, engineering operations, or a related operational role. Strong operational and process ownership: you guide teams through planning cycles and reporting with clarity and consistency. Experience driving OKR tracking, KPI measurement, and performance reporting for technical or engineering teams. Ability to recognize optimization opportunities and improve team functions; comfort with workflow design and continuous improvement. Analytical mindset: you interpret data, identify bottlenecks, and translate findings into actionable recommendations. Excellent written and verbal communication; ability to create clear presentations and reports for leadership. Proven track record of building strong relationships with cross-functional partners and engineering leaders. Ability to manage multiple priorities in a fast-paced environment; experience in a scaling tech company is a plus. We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. Additional points for Experience in Engineering or Technical Operations; familiarity with software development lifecycles and engineering metrics. Proficiency with data and reporting tools (e.g., Excel, Tableau, JIRA, or similar). Experience supporting EMEA or other international teams; comfort with distributed and cross-time-zone collaboration. Bachelor's degree in Business, Operations, Engineering Management, or a related field preferred. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week , with a focus on Tuesdays and Thursdays. Your Recruiter will share more about how we work and company culture during the hiring process. EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-PK1 #LI-Hybrid

Location: London At Citymapper (a Via company), we’re on a mission to help make complex cities more accessible to everyday users. Our application transports millions of people in hundreds of cities around the world by giving them access to the most current and sophisticated transportation options available . As Head of Sales at Via, you will scale Citymapper's advertising business into a global force by deepening the company's presence in both direct and programmatic ecosystems across its core markets. This is a true player/coach role: you'll lead and grow a lean sales team while staying personally close to the most important deals, clients, and markets. It's a rare opportunity to operate with startup autonomy inside a company that moves millions of people every day, with real ownership over a business that's already found its footing and is ready for its next phase of growth. About the Role: Own end-to-end commercial strategy for Citymapper Ads across the UK, France, and the US: from identifying the highest-value prospects to closing and growing tier-one media buyer relationships Build and deepen Citymapper's presence in both direct and programmatic buying ecosystems, including managing agency and brand partnerships, reseller networks, and SSP relationships Lead, coach, and grow a lean sales and account management team. You will set the bar for what great looks like, while staying personally close to the most complex deals and senior client relationships Step in wherever the business needs you: whether that's troubleshooting a campaign, covering an account, or rolling up your sleeves on ad ops, you see no task as beneath your role Translate market signals and customer feedback into actionable product insights, acting as the commercial voice in cross-functional conversations with product and engineering Design and execute comprehensive sales strategies that identify new revenue opportunities, build direct relationships with agencies and brands, and consistently exceed targets across core markets About You: 8+ years of experience in digital media sales or ad tech leadership, with deep fluency in both direct brand/agency sales and programmatic ecosystems (SSPs); French language skills are a strong plus Established network across agency and brand contacts in the UK, US, and ideally France, with demonstrated success managing the full business development cycle from sourcing through close and consistently exceeding revenue targets Comfortable owning forecasting and commercial reporting, with a track record of translating pipeline data into accurate projections and clear strategic recommendations A genuine player/coach: you lead from the front, set high standards, and are equally comfortable running a high-stakes pitch and jumping into a campaign operations issue when the team needs it A self-starter who thrives in fast-moving, ambiguous environments — highly organised, detail-oriented, and able to juggle multiple priorities without losing momentum or dropping the ball A strong communicator and collaborator who builds trust quickly across geographies, functions, and seniority levels What We Offer: Becoming part of a company that was awarded for its commitment to social good The chance to work alongside our award-winning ads team -nominated for multiple industry awards including DRUM, Campaign, and AOP, most recently winning the AOP Publishing Innovation Award for our In-Journey Video Ads Competitive compensation including equity A hybrid working model and a spacious office near Chancery Lane, where you can enjoy weekly team lunches Comprehensive benefits package, including generous paid parental leave, and health scheme offered through AXA Partnership with YellowNest, a salary exchange benefit that helps reduce childcare fees for working parents Cycle to Work Scheme - multiple options via Green Commute Initiative (GCI) There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer. #LI-RB1

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. About the Role We are looking for a strong Engineering Manager to lead a high-impact team within PlayStation’s Client Developer Experience (DevEx) team. This role sits at the center of how developers build, test, and ship software across client and system software teams. You will lead the development of modern developer platforms and tools, including documentation systems, intelligent search, performance tooling, and AI powered experiences. This role requires a balanced leader, someone who can grow and manage a high-performing team, while also maintaining strong technical depth to guide architecture, review designs, and support engineers at a code level when needed. You will operate across frontend-heavy developer experiences (JS, React, React Native) as well as backend/platform systems, shaping solutions that are both technically sound and highly usable for developers. What You’ll Do Lead, grow, and mentor a team of engineers, building a high-performing, ownership driven culture Drive delivery of developer platforms and tools used across PlayStation Provide technical leadership at both code and system design levels, especially for frontend and developer-facing systems Guide the design and evolution of complex, scalable systems across frontend, backend, and platform layers Partner with AI/ML, QE, System Software, and Product teams to align on priorities and execution Influence cross-team technical decisions and ensure strong alignment across partner organizations Balance short-term delivery with long-term platform strategy Ensure high-quality developer experiences by focusing on usability, performance, and reliability Identify gaps, remove blockers, and drive clarity in ambiguous problem spaces What We’re Looking For 7–10 years of overall software engineering experience with 3–5+ years of experience managing engineering teams. Strong technical background with hands-on understanding of frontend systems (JavaScript, React, React Native) and solid backend/platform fundamentals Ability to operate at code-level depth when needed (design reviews, debugging, guiding engineers) Proven experience designing and delivering complex, distributed systems Track record of building and scaling high-performing engineering teams Experience working on developer tools, internal platforms, or productivity systems Strong ability to influence and align stakeholders across teams Excellent communication skills across both technical and non-technical audiences Ability to operate effectively in fast-moving, ambiguous environments Bachelors degree or equivalent Nice to Have Experience with Python or backend services supporting developer platforms Experience with AI/ML-driven workflows or developer tooling Background in performance profiling and or developer ecosystems Experience in large-scale, multi-team environments You will operate in a role that requires leadership, technical depth, and cross-org influence Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including color, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, birthing parent or parental status, trade union membership or membership in any other legally protected category. We strive to build an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment. #LI-AT1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $201,400 — $302,000 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: San Francisco, CA Workplace: Remote ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. About the role: We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products. This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you. WHAT YOU’LL DO: - Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through - Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems - Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value - Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption - Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams - Negotiate pricing and deal terms and work with legal to redline contracts - Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience - Help define and iterate on our sales playbook - your input will help shape our go to market strategies How to be successful in this role: - 5+ years of experience selling complex software to enterprise customers - A relationship builder that garners trust quickly and approaches sales with empathy and curiosity - Excellent communication and storytelling skills - Technical acumen with the ability to establish credibility with technical decision makers. - You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one - Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward - Passionate about generative AI and excited to help customers navigate a rapidly evolving industry Compensation: - Annual salary: $350K OTE USD COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Belgrade, Serbia We are part of the Spain based Carazo Group , incorporated in 2012, managing a portfolio of 20+ carefully selected luxury brands with a strong international distribution network across Europe, the United States, and Latin America. Qualix D.O.O.Beograd is the Serbian entity of the international Adrian Magnus brand, part of the Carazo Enterprise Group founded in 2012. We operate across Europe, the United States, and Latin America. Our mission is to bring the world’s finest handcrafted cigars to enthusiasts with precision, integrity, and a deep respect for tradition. We are strengthening our footprint on the US market and looking for a B2B Sales Representative , based in Serbia, to drive outreach and sales growth across US distributors, retailers, shops, and cigar networks. This is an on-site role based in our New Belgrade office , requiring strong communication skills, outbound sales experience, and the ability to collaborate effectively with US-based partners and teams across time zones. You will play a key role in introducing premium cigar brands to new partners and supporting our expansion into the US market. Key Responsibilities Conduct outbound B2B sales outreach to distributors, retailers, and cigar shops across US Build and manage a sales pipeline — from prospecting to follow-up, negotiation, and closing Present product catalogs, pricing, and brand stories to potential partners Maintain accurate CRM records and follow structured outreach and follow-up cycles Coordinate virtual meetings, discovery calls, and product presentations Collaborate with internal teams (logistics, operations, distribution) to support order processing Provide ongoing market insights and feedback to help refine sales strategy Achieve monthly and quarterly sales targets aligned with growth goals Ensure excellent communication and relationship-building with all B2B partners Requirements Fluent English (C1 or higher) — ideally C2, both spoken and written Minimum 2 years of sales experience in an English-speaking market (B2B preferred) Strong background in outbound sales and cold outreach Based in Belgrade with availability to work across US time-zones 4pm - 12am Excellent communication, persuasion, and relationship-building skills Experience using CRM systems and modern sales tools Strong discipline in on-site work, self-organization, and time management Benefits Attractive performance bonuses based on results Opportunity for growth within a rapidly expanding international brand Work with premium global products and a multicultural team

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. We are looking for an engineer with strong experience in machine learning and solid foundations in math and computer science to join our growing Post-Training team at Baseten. THE ROLE Custom models are instrumental to the success of Baseten customers. By inference volume, the overwhelming majority of traffic at Baseten is to and from models that have been post-trained in some way, whether that be through reinforcement learning, supervised finetuning, a recent technique from the literature, or an in-house research technique from Baseten. The Post-Training team is responsible for the success of our customers’ post-trained models, and we employ a wide array of techniques to produce models that are more efficient and higher quality than even the biggest closed source models for the customer’s specific needs. Your role as a research engineer is to build the in-house tooling to support all of this. We care about training a wide spectrum of different model architectures with a variety of techniques efficiently and at scale. At times this involves zooming deep into a particular technical topic, but more often it involves working across the stack as a whole - systems-level concepts like Kubernetes, cgroups, storage systems, and networking topologies, as well as PyTorch distributed tensor computation, and GPU kernels. The Manifesto: https://labs.baseten.co/manifesto RECENT RESEARCH - Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/ - Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/ - Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/ We don’t have a rigid set of skills, but here’s some of what we’re looking for: - A deep understanding of modern ML techniques and tools for training transformers - Advanced experience in a tensor/array computation library like PyTorch, TensorFlow, Jax, or similar - A detailed understanding of transformer training parallelism strategies like data parallelism, sharded data parallelism, tensor parallelism, pipeline parallelism, context parallelism - The experience and knowledge to profile and improve the performance of a distributed GPU program in PyTorch or a similar library - The ability to perform roofline analysis on a transformer training setup - A willingness to dive into messy problems, work with researchers, derive specifications by asking important questions, and execute - Familiarity with HPC and distributed computing platforms like Slurm, Ray, Kubernetes, and Dask - Familiarity with cluster networking technology like Infiniband, RoCE, GPUDirect - Solid fundamentals in operating systems concepts like processes, files, kernel drivers, containerization, and networking protocols - A sense of creativity and willingness to ask difficult questions about our approach, assumptions, and tooling choices BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

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. Summary GiveWell's senior research staff are the key decision makers for hundreds of millions of dollars in grantmaking, and we think growing that team is one of the most important things we can do to increase our impact. We're seeking one or more Senior Recruiters to help us do that. Finding senior research staff is a hard problem for a couple reasons: The talent pool for GiveWell researchers basically doesn’t exist as a defined group. You can’t go to one type of program, industry, or a few obvious competitors to build a reliable pipeline. The people who succeed here come from a wide range of backgrounds — economics PhDs, policy analysts, management consultants, medical doctors, neuroscientists, primate biologists, etc. — and the roles don't have clean analogues elsewhere. What they share is a set of hard-to-measure cognitive skills and quantitative fluency that doesn’t show up reliably on resumes. Our process is very competitive. The offer rate for senior research roles is less than one in a thousand. We want you to figure out where to find strong candidates, improve our assessment process, and do the hands-on work of sourcing, screening, and closing offers. You'll work very closely with our research leadership team. We're most excited about finding someone who helps us make better decisions about finding great talent — and hire them faster. The role You'd work closely with our manager, research recruiting and the team to own recruiting for some of our Researcher , Program Officer, Senior Researcher , and Senior Program Officer roles. Your time split will vary depending on team needs and your interests, but might look something like this: Pipeline management, moving things forward: 35% Coordination and communication with e.g. hiring managers and work test graders: 15% Process improvements: 10% Application review: 10% Conducting and evaluating interviews: 10% Sourcing and outreach: 10% Candidate communication and closing: 10% A few strategic problems we’ll want you to think about: After candidates apply, is our assessment process effective? Our offer rate for senior roles is below 0.1%. That might mean we’re extremely selective. It might also mean we’re losing good candidates somewhere in the funnel. You’ll dig into our data and find answers (How well do early screening scores predict work trial performance? What are the most common rejection reasons, and are they signal or noise? How did past hires actually turn out?). You’ll help us develop good heuristics about what to do in situations when candidates’ signals are mixed. Where do we even find good candidates? The ideal GiveWell researcher doesn’t come from one degree program, industry, or competitor. You’ll think about where to look and go after them. And you’ll continually develop new pipelines with creative methods (running structured referral conversations with our researchers, scouring conference guest lists, using sourcing tools creatively, or maybe vibe-coding your own). How can we use data to make better decisions? Right now, we don’t have great visibility into which sourcing channels, process changes, or pipeline stages are driving results. You’ll track data, run analyses, and help us make evidence-based decisions about where to put effort. In some cases, you might find out that we don’t have the right data architecture to answer important questions, so you’ll build it. What are ways our hiring process could be much better? This is harder to describe because it covers ~every strategic and tactical question we face. We want you to be thinking about all of it. Things like: Are we overweighting particular qualities and losing promising candidates without noticing? How could we run experiments on our hiring processes (randomization, A/B testing, sourcing campaigns) that actually give us useful information? You’ll also do a fair amount of bread-and-butter recruiting work: screening applications, writing outreach emails, and interviewing candidates. We think that sort of work will keep you close to the data and help you develop strong pattern recognition. About you You’re excited about GiveWell's mission and methods. You think GiveWell is doing something special, not just generically “doing good.” You can explain what makes GiveWell different. You’re careful and truth-seeking with your beliefs. For example, if a hiring manager says we need to find “scrappy” people, you’re likely to ask “Why do you believe that?” or “What does scrappy mean?” instead of uncritically agreeing. You’re quick to update your beliefs by picking up new information and asking sharper questions. You can probably tell us about times when you’ve changed your mind about important things. You're unusually curious and analytical. When you get invested in a question, you keep trying to find the right answer after many other people would have stopped. You ground your beliefs in data when possible and hedge appropriately when you’re not confident. You have very high standards. We have a high competence bar for our research team, and you’ll need to uphold that and own your decisions about applications that do and don’t meet our bar. You’re entrepreneurial and high agency. You figure things out. You have a history of solving problems. You’re very resourceful. You’re more likely to make the mistake of moving too fast than moving too slow. You'd rather try something imperfect and learn from it than wait for a perfect plan. You're direct. You say what you actually think even when it's uncomfortable. You’re good at communicating in writing. You're concise, clear, and you don't hide behind jargon. You probably enjoy an effective memo. If you think people who know you well would agree that many of the qualities above describe you, we’d like you to apply. Qualifications We care much more about the qualities described above than any specific background. That said, some things that might help: Experience in recruiting, talent operations, research operations, or a generalist role at a mission-driven organization Comfort with data — spreadsheets and basic quantitative analysis Strong written communication Experience working closely with executive-level leadership Familiarity with global health, development economics, effective altruism, or adjacent fields is a plus but not required Recruiting experience is welcome but not required. Some of the best people in comparable roles at peer organizations came in without it. And we’ll support you if you want to move on to other things at GiveWell after making progress on our research recruiting. There's always a place here for generalists who are good at solving hard problems, and we have a history of developing high performers into different roles across our org. Key Questions What are some of the reasons I might not like this role? You’ll be running hiring rounds from start to finish. We consider this a full-lifecycle role, which means you should be comfortable with things like scheduling, building out roles in Greenhouse, and day-to-day coordination with candidates. While you might have support from more junior colleagues, you’ll be expected to capably manage your own pipelines. GiveWell has a unique approach to hiring, and it’s possible that you’ll dislike it. For example, we tend to lean heavily into work trials and finding empirical evidence about the candidates we hire. We are rigorous in how we evaluate candidates, and hold really high standards, which can lead to longer hiring rounds with more steps than what is typical elsewhere. We’re extremely quality focused and would rather hold out for the right candidate than settle on someone who’s “mostly right.” You’ll need to deeply understand our work and culture to succeed. We want you to be able to speak with candidates about our work and what makes GiveWell special, and provide useful input to hiring managers when we’re developing assessments and evaluating candidates. You will be expected to hunt, not just farm. While we receive a high volume of inbound applicants, we are looking for recruiters who effectively source and attract candidates, not just wait for them to trickle in. You’ll be collaborating with leaders with high expectations. We’re a founder-led, performance-driven culture and you’ll be collaborating with our executive team regularly in this role. Strong partnerships will depend on you building trust, leading with curiosity, and reliably delivering results. What does growth look like in this role? GiveWell’s growing, and you’re going to help shape that. Your growth will be tied directly to the impact created by the people you help hire. Beyond day-to-day recruiting, you’ll have the opportunity to work on more strategic projects, including shaping our overall hiring approach and improving our employer brand. In this role you’ll also have significant exposure to executive leadership and many corners of our business. The talent acquisition team is doubling in 2026, which means there are clear opportunities for mentorship and potentially growing into a team leader. What does this interview process entail? We'll use a combination of interviews, written exercises, and work trials to assess the qualities described above. Past versions have looked like: Simulating a hiring manager intake conversation Walking through a sourcing strategy for a hard-to-fill role Reviewing a job description or process and offering a critique Writing a candidate outreach email or internal communication We'll share more specific details if we invite you to move forward, but our current plan is: Screen with a member of the Talent Acquisition team Work trial(s), which might include live conversations and written work A combined achievements, values, and technical interview with the Manager, Research Recruiting References Team structure This role sits on GiveWell's Research team and reports to our Manager of Research Recruiting. You'd collaborate regularly with other members of the People and Research teams on sourcing and candidate evaluation. We'll likely also want you to attend research team meetings, develop 1:1 relationships with research team members, and potentially join research team-building retreats. We’ll be interested in ~any kind of team embedding that helps you build useful context. The details Compensation: NYC or the San Francisco Bay Area: $149,600 All other U.S. and international locations: $136,000 Benefits: Our benefits include (in the US): Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents) Four weeks of paid time off per year 16 weeks of fully paid parental leave Ergonomic home workstations or coworking space memberships Automatic contribution equal to 5% of your gross salary into your 403(b) retirement plan (for U.S. based staff) Countries we can hire from: GiveWell is a remote-first organization. However, for the time being, we can only hire within a select number of countries (US, UK, Canada, Switzerland, and Germany). To be considered for a role with GiveWell, you need to already be based in one of those countries or be willing to move to one of them. We expect to expand the list of locations where we can hire over the course of 2027, and our job descriptions always reflect the current status — so we’d encourage you to check back and apply again for a role you’re eligible for. Visa sponsorship: We are not currently able to sponsor visas for this role. 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: GiveWell hosts “Visit Weeks” twice a year in our Oakland, California, office and up to two annual departmental retreats. Attending these in-person opportunities will be important to fulfilling the goals of this role. Occasional additional travel may be helpful for conferences or recruiting events. 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. We don't want to miss candidates who could do great things at GiveWell. If you're on the fence about applying because you meet some but not 100% of our preferred qualifications, we encourage you to apply anyway. GiveWell is an Equal Employment Opportunity employer by choice. We value our team's diversity in all respects and desire to maintain a work environment free of harassment or discrimination. If you need assistance or an accommodation due to a disability, contact us at careers@givewell.org. 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: Singapore WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: The Quantitative Execution team is seeking an Execution Researcher to further refine WorldQuant's execution capabilities across a variety of cash and derivative products to be based in Singapore. Key Responsibilities: Algorithm Design & Implementation: Develop detailed specifications for new and enhanced execution algorithms. Implement, test, and deploy robust quantitative trading strategies and tools, primarily using Python. Tooling: Build robust and reusable tools in Python to improve the overall team productivity. Market Impact Modelling: Research, develop, and refine sophisticated market impact models to seek to predict and minimize the cost of trading. Leverage large datasets and advanced statistical/machine learning techniques to improve model accuracy. Transaction Cost Analysis (TCA): Conduct in-depth Transaction Cost Analysis (TCA) to evaluate the performance of execution strategies, identify drivers of transaction costs, and pinpoint opportunities for optimization. Provide actionable insights to portfolio managers and traders. Collaboration: Work closely with the QES Lead for APAC to align strategies with regional market nuances and business objectives. Collaborate with trading desks, technology teams, and other quantitative researchers to integrate solutions and drive innovation What You’ll Bring: PhD/Master’s in a quantitative field (CS, Mathematics, Statistics, Physics, Engineering, Quant Finance) from a top university, with 0–4 years’ experience in quantitative research and/or development for systematic or execution strategies. Solid Python programming skills (required), strong understanding of data structures and algorithms, and experience manipulating large-scale datasets using SQL; C/C++ is a strong differentiator. Strong expertise in regression models, time-series analysis, and applied machine learning, with exposure to deep learning and/or reinforcement learning, ideally in data-intensive, production-oriented environments. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role: We are looking for a Senior Network Engineer to design, build, and operate large-scale, high-performance data center networks supporting GPU-dense AI workloads. You will take end-to-end ownership of service provider–grade and CLOS-based network infrastructure, ensuring reliability, scalability, and predictable performance across distributed environments. This role requires deep expertise in routing, switching, and modern data center fabrics, with a strong focus on production operations, root cause analysis, and continuous improvement of network systems. Your responsibilities will include: Design and evolve scalable data center network architectures (CLOS/leaf-spine) for high-throughput, low-latency environments Own end-to-end deployment and lifecycle management of routing and switching infrastructure across production environments Develop and maintain network design documentation, standards, and operational procedures Plan, execute, and validate network infrastructure testing, including vendor evaluation and benchmarking Diagnose and resolve complex network issues across the TCP/IPv4/v6 stack in large-scale distributed environments Optimize traffic engineering, ECMP, and load balancing strategies to ensure efficient utilization of network resources Implement and operate MPLS-based technologies, including L3 VPNs and segment routing (SR-MPLS, SRv6) Collaborate with hardware, systems, and software teams to integrate networking with compute and storage infrastructure Automate network operations and workflows to improve reliability, scalability, and operational efficiency Ensure high availability and performance of production networks through proactive monitoring and continuous improvement What we expect you to have: Expert-level knowledge (CCIE/JNCIE or equivalent) in MPLS, routing, and switching for service provider and data center networks Strong experience with Ethernet switching, VXLAN, and modern cloud overlay networking technologies Deep expertise in routing protocols including BGP and IS-IS Hands-on experience with segment routing (SR-MPLS, SRv6), L3 MPLS VPNs, and ECMP-based traffic balancing Proven experience designing and documenting large-scale network architectures Experience developing and executing network testing strategies and validating vendor solutions Strong troubleshooting skills across the TCP/IPv4/v6 stack in CLOS-based data center environments Solid understanding of network hardware architecture, QoS mechanisms, and packet processing pipelines Hands-on experience with network equipment from vendors such as Juniper, Arista, Huawei, and Mellanox Working proficiency in English It will be an added bonus if you have: Working proficiency in an additional European language Experience with public cloud networking and GPU/InfiniBand environments Knowledge of software-defined networking (SDN) overlays in cloud environments Proficiency in Python, Go, or other programming languages in Linux environments Experience using programming languages for network automation and tooling Working conditions: Remote work within the United States Work closely with globally distributed infrastructure and engineering teams Participation in on-call rotations to support production environments Key employee benefits: Comprehensive health insurance 401(k) plan with company contribution Paid time off and public holidays Flexible working hours Professional development and certification support Compensation: $125,000 – $180,000 USD per year, depending on experience and qualifications Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: New York City, NY | Seattle, WA; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As part of our growing Data Science and Analytics team, you will play an instrumental role in our company’s mission of building safe and beneficial artificial intelligence by driving data-informed decision making across our organization. You bring experience from high-bar teams and are eager to help shape the norms and best practices of a growing data science team as Anthropic continues to scale. In this unique company, technology, and moment in history, your work will be critical to informing our strategy as we deploy safe, frontier AI at scale to the world. You’ll be the senior data science leader embedded in our Growth team and a strategic thought partner to its product and marketing leads. The Growth team’s job is to keep Anthropic on the exponential by getting more people and companies using and paying for Claude. You’ll help set direction across acquisition, activation, retention, and monetization: bringing a point of view on where to invest, how to grow revenue, and how to deliver more value for our users. As a tech lead manager, you’ll also manage a small team of Product Data Scientists, setting their agenda and raising the bar for how data shapes growth decisions. Responsibilities: Act as a strategic thought partner to Growth product and marketing leads, helping shape growth strategy, roadmap priorities, and the major bets the team makes Set the data science agenda for Growth, deciding where the Product Data Science team can have the most impact and what it should deprioritize Manage and develop a small team of Product Data Scientists, coaching them to move from answering questions to shaping decisions Frame the most important and ambiguous questions facing Growth, from where the next users and companies will come from to what makes them stay and pay, size the opportunities, and make clear recommendations, including when they challenge the current direction Define how Growth measures success, establishing the core metrics, guardrails, and measurement frameworks that tie short-term wins to long-term value Set the standard for experimentation and causal inference across Growth, including holdouts and quasi-experimental methods where A/B tests aren’t practical, and personally lead the highest-stakes analyses Guide how Growth measures the return on its programs, including marketing incrementality, LTV, CAC, and payback, and turn the results into budget and channel recommendations Guide the team’s work on targeting and personalization, including how we decide which users get which message, offer, or experience and how we evaluate those decisions Turn complex analyses into clear narratives and recommendations that drive decisions with senior leadership and cross-functional partners Establish foundational data practices and shape the analytics infrastructure Growth needs to support rapid iteration and decision-making as our products grow You may be a good fit if you: Have extensive experience in data science, including leading analytics for a growth or product area at significant scale Have 5+ years managing data science teams, including setting team direction and developing senior data scientists Have been a trusted partner to senior product, growth, or marketing leaders, with clear examples of changing a roadmap or high-stakes decision Bring strong product sense and business judgment across the growth funnel, including the ability to frame the right question and take a position with incomplete information Have deep expertise in experimental design, causal inference, and statistical modeling at high scale, with enough fluency in Python and SQL to stay hands-on and guide others’ technical work Communicate clearly in writing and in presentations, including to executive audiences Have a bias for action and thrive in ambiguous, fast-moving environments where you must create clarity and drive progress Care about the company’s mission of building helpful, honest, and harmless AI Strong candidates may also have: Experience measuring marketing incrementality, including holdouts, geo experiments, or marketing mix modeling Experience with targeting, personalization, or uplift models in production Background at consumption-based, multi-product companies serving both consumers and enterprises Experience with AI/ML products or large language models, including using coding agents in your own analytical workflow The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $380,000 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.