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Location: Algiers, Algeria Workplace: onsite Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values. Résumé du poste Le rôle principal Booking Agent a pour mission principale d'assurer la gestion opérationnelle des demandes de réservation tout en garantissant une expérience client de qualité. Sous la supervision de son responsable, il accompagne les clients dans leurs projets de voyage, traite les réservations conformément aux procédures de l'entreprise et contribue au bon déroulement des opérations quotidiennes de Yassir travel. Responsabilités principales Traiter les demandes de réservation de nos clients. Accompagner les clients dans l'organisation de leurs voyages. Effectuer les réservations de Billetterie aérienne et maritime, d'hôtels, de transferts et d'autres prestations touristiques. Vérifier les disponibilités, les tarifs et les conditions de réservation. Assurer le suivi administratif des dossiers clients. Garantir un service de qualité et une excellente expérience client. Respecter les procédures internes et les standards de qualité de Yassir Travel. Qualifications requises Excellentes compétences en communication et un sens prononcé de la relation client. Sens de l'organisation, rigueur et capacité à gérer efficacement les priorités. Esprit d'initiative, curiosité et volonté d'apprendre continuellement. Dynamisme, réactivité et aptitude à travailler dans un environnement exigeant. Polyvalence, autonomie et sens des responsabilités. Esprit d'équipe et capacité à collaborer efficacement avec les différents services. Capacité à gérer son stress et à maintenir un haut niveau de qualité de service, même en période de forte activité. Orientation résultats et forte implication dans la satisfaction et la fidélisation des clients. Ponctualité, professionnalisme et respect des procédures internes. Une excellente maîtrise de l'arabe et du français est indispensable. La maîtrise de l'anglais, à l'oral comme à l'écrit, constitue un atout majeur pour évoluer dans le secteur du tourisme international et assurer une prise en charge optimale de notre clientèle. Compétences Techniques Bac +3 et plus en Tourisme, Management, Commerce, Marketing, Ou toute formation équivalente. Maîtrise des techniques de réservation. Connaissance GDS d'Amadeus. Bonne maîtrise des outils bureautiques (Microsoft Office). Aisance avec les plateformes de réservation et les outils numériques. At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen. Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together. We look forward to receiving your application! Best of luck, Your Yassir TA Team

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company that alters the entertainment industry to a new level of perception and engagement. We are building the future of live entertainment. We believe that by providing people with the best and highest-quality live streaming experience in entertainment, we can tackle the world’s “problems” better, together! We are seeking an experienced Python Developer (ML) to join our dynamic team ML team. Our technology stack: Languages: Python; Monitoring: Prometheus, VictoriaMetrics, Grafana, Grafana Loki, Sentry; DBs: MariaDB, Clickhouse, Redis; Streaming: Apache Kafka; Workflow management: Apache Airflow, Argo Workflow; Infrastructure: k8s, gitlab. Job Responsibilities Design and build production-grade Python services for running and maintaining ML applications for different domains: RecSys, CV, Classic ML, NLP. Develop and maintain data pipelines for training, validation, batch inference workflows Build internal tools and reusable modules for the ML team Implement monitoring and observability for ML services using metrics, logs, and dashboards. Contribute to continuous integration and delivery pipelines (testing, packaging, and automation). Develop visualization and debugging tools for model outputs — including active learning and content analysis interfaces. Ensure that all components are reliable, testable, and easy to maintain. You’ll thrive here if you have 3+ years of experience as a Python Developer, Backend Engineer, or Data Engineer. Strong Python skills (asyncio, FastAPI, pydantic, typing, modular architecture). Proven experience designing and deploying production systems with Docker, Kubernetes and CI/CD. Familiarity with ML workflows (you don’t need to train models yourself, but you understand how they’re served, retrained, and monitored). Experience building data pipelines and integrating with various data sources. Knowledge of metrics, logging, and observability best practices (Grafana, Prometheus, Loki, etc.). Strong understanding of testing, clean code, and maintainable software design. Qualification that can be a plus: Experience working with machine learning teams or MLOps pipelines. Experience with distributed systems or high-load backend services. Conditions We know that great talent deserves great conditions, so here's what you can expect when joining us: EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family. Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free. Transparent performance reviews twice a year, with bonus opportunities and salary adjustments. Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases. Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus. Mindfulness & well-being support, including psychological assistance with 50% coverage. 50% coverage of school and kindergarten fees for your children. Fully covered sports benefits, and also access to in-house electric scooters and bike rentals, and cycling purchase compensation. Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey. A culture of recognition: a peer reward program to celebrate your contributions. A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration. Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks. A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities. Recruitment process HR Interview (40 min); Technical Interview + Live Coding (1.5 hour); Final Interview (1 hour).

About Us & The Team Til-Qazyna is a national scientific and practical center dedicated to building the core digital and AI infrastructure for the Kazakh language. We develop foundational language resources, linguistic tools, and open-source models, including custom text corpora, morphological analyzers, RAG pipelines, and fine-tuned Large Language Models. We are looking for an AI Engineer to focus exclusively on natural language processing, corpus engineering, and LLM fine-tuning. Key Responsibilities • LLM Adaptation & Fine-Tuning: Fine-tune, evaluate, and benchmark open-source LLMs (Llama, Mistral, Qwen, Gemma) for Kazakh language understanding and generation using parameter-efficient methods (LoRA, QLoRA, PEFT). • NLP & Linguistic Tooling: Develop, maintain, and optimize rule-based and neural NLP components, including morphological analyzers, lemmatizers, tokenizers, and terminology parsers. • Corpus & Data Pipelines: Design automated pipelines for large-scale text crawling, data cleaning, deduplication, synthetic data generation, and dataset curation. • Inference & Deployment: Package NLP models and LLMs into containerized microservices (Docker, FastAPI) and optimize inference using modern serving frameworks (vLLM, Ollama, TensorRT-LLM, ONNX). Requirements • 1+ years of hands-on experience as NLP / AI / Machine Learning engineer. • Solid understanding of the Transformer architecture, attention mechanisms, embeddings, and tokenization. • Experience with core ML/NLP libraries: PyTorch, Hugging Face (transformers, datasets, accelerate, peft), Scikit-learn. • Experience building data preprocessing pipelines and working with structured/unstructured text data. • Practical knowledge of Docker, Linux, and Git. • Degree in Computer Science, Data Science, Applied Mathematics. Nice to Have • Hands-on experience with modern LLM serving and optimization engines (vLLM, TGI, llama.cpp, quantization techniques like AWQ/GPTQ). • Experience with RAG stacks (LangChain, LlamaIndex, ChromaDB, Qdrant, FAISS). • Understanding of the morphological, agglutinative, or grammatical characteristics of the Kazakh language. • Familiarity with alignment techniques (DPO, RLHF) or synthetic data generation. What We Offer • Direct impact on sovereign AI development and language technology used at scale. • Official employment in full compliance with the Labor Code of the Republic of Kazakhstan. • Access to high-performance GPU compute clusters for model training and experimentation.

Location: United Kingdom; Spain; Germany Workplace: remote Help Us Build The Future of Travel At Airalo, we're making it easier for people to stay connected wherever they travel. As the world's first eSIM store, we help millions of travelers access affordable mobile data in 200+ countries and regions around the world. Today, we're a team of 400+ people across 60+ countries, building a product used by travelers every day. We've grown quickly, but we've worked hard to keep what matters: trust, ownership, and the freedom for people to do great work without unnecessary layers or bureaucracy. We're fully remote by design, genuinely global, and united by a shared mission to make travel simpler for everyone. Your Next Destination Location: Remote. Contract: Full-time, permanent. Benefits: Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74  Languages: English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async.   We're looking for a Staff Data Scientist, Pricing to build the analytical and machine learning capability that pricing runs on, from demand modelling through to the systems that recommend price. You won't be starting from zero. We've invested in the foundational data and infrastructure that pricing decisions depend on. What's missing is the capability on top: models the business trusts, experiments that settle pricing questions with evidence, and economics defined once so they hold consistently across Commercial, Product and the customer experience. The arc of the role runs from measurement to prediction to prescription - understanding how demand responds to price, forecasting how it will respond, and ultimately building the models that recommend the price itself. What You'll Do: Build and own the demand and elasticity modelling capability, quantifying how price affects volume across destination, duration, data tier, and customer segment. Develop machine learning models for demand forecasting and willingness-to-pay, and take them from exploration through to production with the monitoring and retraining that keeps them honest. Move us from predictive to prescriptive by building the optimisation layer that turns forecasts and elasticities into recommended prices under margin, competitive and partner constraints. Design and analyse pricing experiments with statistical rigour, and apply causal methods where clean randomisation isn't possible. Define pricing within our data ecosystem, owning the governed definitions of price, cost and package economics that reporting, analysis and product surfaces all read from. Partner with Commercial and Finance to connect pricing decisions to margin and revenue, and to size opportunities before we commit. Set the analytical standard for pricing at Airalo, from what counts as evidence through to how a model or recommendation gets validated before it influences live pricing. What You'll Bring: 7+ years in data science, quantitative economics, or applied research, including pricing, monetisation, or marketplace economics work that demonstrably changed decisions. Experience with dynamic or algorithmic pricing systems in production. An advanced degree in Econometrics, Statistics, Operations Research or similar, or equivalent applied depth in demand estimation and the identification problems that make naive price-quantity regressions wrong. Hands-on machine learning experience across the full lifecycle, from feature engineering and model selection through to deployment Familiarity with optimisation and decision-science methods that turn predictions into recommended actions, whether through constrained optimisation, bandits, or reinforcement learning approaches. Proven experimentation expertise, having designed and defended experiments with a clear view on decision frameworks and common failure modes. Experience building analytical capability where none existed before, turning raw data and a business question into something a commercial team uses repeatedly. Strong data modelling instincts, thinking in reusable definitions and single sources of truth rather than standalone analyses. The ability to move comfortably between financial, product and operational data and connect the analysis to a financial outcome. Genuine partnership instincts, translating between analytical rigour and commercial reality so that Commercial and Product come to you early rather than after the decision. Fluency in the Python ML stack alongside strong SQL, with the engineering hygiene to hand over code that others can run and maintain. Excellent communication skills, including the ability to make a methodological argument to people who won't check your standard errors. A self-starter mindset that thrives in ambiguity and brings structure without waiting for permission. Comfort using AI tools to augment analytical work, with a point of view on where they help and where they don't Nice to have: Experience in marketplace, telecom, travel, or subscription/usage-based businesses. Bayesian or hierarchical modelling for sparse segments and long-tail SKUs. Competitive price response modelling, or working with scraped competitor pricing data. Familiarity with dbt, LightDash, or similar semantic/BI layers. Experience designing semantic or metric layers consumed by both analytics and production systems. Experience working in cross-functional teams spanning commercial, finance and product disciplines. If you are interested in this position, please apply via the link. Why People Join Us We started Airalo to make staying connected effortless, wherever you are in the world. Today, millions of travelers rely on our eSIMs, and many of the people building the product were customers first. Our team spans 60+ countries, united by a shared belief that great work happens when people are trusted to own what they do. There's trust to own what you do, space to focus without constant layers of process, and a clear sense of what you're responsible for from day one. As Airalo continues to grow, so do the opportunities to learn, take on new challenges, and make a real impact - from anywhere in the world. Before You Hit Apply By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy    We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we believe in roaming-free recruitment. Just as we provide clear connectivity for travelers, we provide clear salary ranges for our candidates. 🌍 This role is remote and open to candidates across our supported locations in Europe. The range below reflects the full salary range for this role across the countries where it’s available: 📍UK: £93,200 - £139,800 📍Spain: €77,600- €116,400 📍Western/Northern Europe (Germany, France, Austria, Denmark, Sweden, Finland, Norway): €66,400 - €166,800 📍Southern Europe (Portugal, Italy, Greece, Malta): €70,000 - €137,000) 📍Central & Eastern Europe (Czechia, Hungary, Poland, Lithuania, Estonia): €60,000 - €117,000 📍South-Eastern Europe / Balkans (Romania, Serbia, Bulgaria): €56,000 – €100,000 Your Home Destination: Local market rates and cost of living vary, so your specific range depends on where you’re based. Most people join in the first half of the band, which leaves you plenty of room to grow, and you’ll see exactly how that looks from day one. In exceptional cases, where a candidate’s skills and experience clearly exceed what the role requires, we’re happy to talk about going higher. We’ll walk through your range together on your first call with our Talent team, so we’re all aligned for takeoff!

Location: East Coast - USA About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. WHY YOU SHOULD JOIN OUR TEAM You'll join Smartcat's evolving GTM Operations team at a pivotal moment — with the flexibility to work broadly across Sales and Customer Operations, using AI as a core part of how you operate, and the room to shape your focus over time based on business needs and your own strengths. You'll report to the Head of Revenue Operations and have real influence over how the GTM organization runs. MISSION Help build, run, and improve the systems and processes that power Smartcat's go-to-market organization — spanning both pre-sale and post-sale motions — using AI as a core part of how you work to accelerate analysis, automate workflows, and improve decision-making across the customer lifecycle. OUTCOMES Partner with GTM teams to solve operational challenges across the customer lifecycle, from lead management and new-business pipeline through handoffs, renewals, and expansion Use AI, automation, and strong systems thinking to simplify workflows, improve team productivity, and reduce manual work Deliver clear reporting, analysis, and insights that improve forecasting, planning, pipeline visibility, and business decisions Support selected systems, process, or commercial initiatives — such as CRM improvements, Deal Desk, territories, data quality, or GTM tooling — based on current priorities Lead cross-functional projects from problem definition through implementation, documentation, adoption, and continuous improvement Help shape the evolving GTM Operations function while developing deeper expertise in the areas that best align with business needs and your strengths HOW YOU'LL RAMP By Day 30: Learn Smartcat's GTM systems, tech stack, and current operational priorities across pre-sale and post-sale motions Meet with GTM leaders and frontline teams to understand existing operational gaps and pain points Get oriented in the CRM and reporting infrastructure you'll be working within By Day 60: Be actively contributing to at least one focused initiative (e.g., CRM improvement, Deal Desk, territories, or data quality) Start identifying and building AI-assisted workflows to reduce manual work on a specific process Be delivering reporting or analysis that GTM leaders are using in planning or forecasting conversations By Day 90: Be leading a cross-functional project independently, from problem definition through implementation and adoption Have a clear point of view on where you can add the most focused, specialized value going forward Be a trusted operational partner to GTM leaders across at least one full stage of the customer lifecycle WHAT YOU'VE ACCOMPLISHED 4-7+ years of experience in Revenue Operations, Sales Operations, Customer Operations, or Business Operations in a B2B SaaS environment Broad experience across both pre-sale and post-sale motions, with working knowledge of several GTM disciplines such as lead and pipeline management, forecasting, territories, Deal Desk, customer handoffs, renewals, or expansion A track record of succeeding in a hands-on, cross-functional operations role and adapting quickly as priorities change Strong practical fluency with generative AI and automation tools — identifying high-value use cases, building AI-assisted workflows, evaluating outputs critically, and helping others adopt new capabilities responsibly Strong CRM expertise, including workflow automation, lifecycle stages, reporting, data quality, and integrations Strong business intelligence and analytical skills, with the ability to turn complex data into clear insights and recommendations Experience working across a modern GTM technology stack (e.g., Chili Piper, ZoomInfo, DealHub, sales engagement, customer success, territory management, or enablement platforms) — expertise in every category isn't expected A builder mindset and comfort moving between analysis, process design, systems, automation, documentation, and hands-on execution Strong problem-solving, prioritization, communication, and stakeholder-management skills Ability to translate business goals into practical operational solutions and carry work from initial analysis through implementation and adoption Experience implementing AI-enabled workflows, GTM systems, or cross-platform automations is a plus Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We are looking for an experienced Supply Chain Manager with strong expertise & hands-on experience in server and GPU infrastructure procurement to support our global data center operations. You will operate at a high execution speed and be expected to quickly integrate into ongoing projects. You are welcome to work at our head office in Amsterdam, the Netherlands , or remotely within the EU. Your responsibilities will include: Managing end-to-end procurement of server and GPU infrastructure for new data center builds Negotiating directly with OEM/ODM vendors Creating dashboards and report on existing tasks to ensure all tasks are done in a timely manner within the deadline. Managing cost optimization, supply constraints, and vendor escalations Coordinating closely with engineering, logistics, finance, and operations team Maintenance Procurement: supporting global data centers after go-live, ensuring zero-disruption operations through proactive stock planning, coordinating urgent procurement We expect you to have: At least 5+ years of experience in server / data center hardware procurement Direct experience working with ODM/OEM manufacturers Strong negotiation skills with a history of securing supply commitments and favorable commercial terms in constrained markets Experience operating in fast-paced, high-pressure environments Ability to quickly understand technical infrastructure requirements Working proficiency in English It will be an added bonus if you have: Hands-on experience with GPU procurement Experience in hyper-scale / AI infrastructure environments Experience in global procurement operations Familiarity with NetSuite or ERP systems 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: 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. THE ROLE We're looking for a Revenue Accounting Manager to own billing, contract review, and revenue recognition as Baseten scales. This is a hands-on, individual-contributor role for someone who wants full ownership of the revenue cycle at a company where deal structures are getting more complex: usage-based pricing, committed capacity, credits, multi-year enterprise contracts, and new business models coming online. You'll join Lauren, who built Baseten's quote-to-cash function from the ground up, to take on billing, contract review, and revenue recognition as deal volume and complexity grow. Having completed our first year-end audit, we're now focused on tightening contract review processes, close procedures, and reporting rigor to support the scale ahead. You'll partner closely with Lauren, FP&A, Sales, Legal, and Revenue Operations to make sure every deal is structured, billed, and recognized correctly from day one. Baseten is building the infrastructure layer for AI-native companies, and we're scaling quickly - in deal volume, contract complexity, and customer size. If you want real ownership over a growing function on a lean team, this role offers real scope. RESPONSIBILITIES Revenue Recognition and Technical Accounting - Own revenue recognition under ASC 606 across all contract types, including usage-based/consumption arrangements, committed capacity deals, credits, multi-year contracts, and new business models - Serve as the go-to person on rev rec treatment for new deal structures, products, and pricing models Billing Operations - Own end-to-end billing: invoice generation, accuracy checks, and dispute resolution - Identify and automate manual, error-prone steps in the billing-to-cash workflow - Assist with strengthening our collections efforts and overall process Contract Review and Deal Support - Build and maintain a standardized contract review process for Sales and Legal, flagging non-standard terms that affect recognition before deals close - Partner directly with Sales, Revenue Operations, and Legal as a proactive advisor on deal structuring Sales and Indirect Tax - Own the sales and indirect tax process, including reviewing and maintaining our tax automation tool (nexus tracking, exemption certificates, filings), and building the governance around it as we scale into new jurisdictions Close and Reporting - Own the revenue-related monthly close: deferred revenue rollforward, unbilled AR, credit memos, and revenue reserves - Partner with FP&A to reconcile billed vs. recognized revenue and support ARR reporting and forecasting - Own revenue-related audit deliverables, including technical memos and sample testing support REQUIREMENTS - 5+ years of progressive accounting experience, including 3+ years focused specifically on revenue accounting and recognition - Deep working knowledge of ASC 606, including variable consideration, multiple performance obligations, and usage-based revenue models - Hands-on experience reviewing and abstracting commercial contracts for accounting treatment - Experience owning billing operations directly, not just reviewing output from a billing team - Public company or audit-ready private company experience (Big 4 or industry, with audit exposure) - Builder mentality with a bias toward execution; comfortable operating on a lean team relative to company scale - Experience with NetSuite (or comparable ERP) and a modern billing platform - Based in San Francisco or New York, with the ability to work in-person 3+ days per week NICE TO HAVE - Experience at a high-growth, venture-backed infrastructure or cloud company with usage-based or hybrid pricing - Experience with committed-use/capacity contracts - Experience overseeing sales and indirect tax compliance through an automated tax tool across multiple jurisdictions - CPA - Exposure to SOX controls in a revenue cycle context 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: Remote - EMEA Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: As a senior software engineer, you will help build and scale the systems and services that form the foundation of Alpaca and empower millions of users who are trading billions of dollars worth of assets. The market data team is responsible for improving the overall architecture of Alpaca connected to data products such as stocks, options, crypto, and foreign exchange markets. Oversee their public API structure and documentation on both streaming and historical endpoints. The team is responsible for building a cohesive developer-first API and is tasked with planning, ideating, experimenting, and putting into production the new services, and libraries that overcome some of our greatest technical challenges as we continue to scale rapidly. We are looking for senior or staff engineers who are keen on providing quality solutions, have great fundamentals, have proven experience building and architecting at scale, and are not afraid of challenging conventions. This demanding team also requires a deep understanding of POSIX-like operating systems, modern infrastructure, and orchestration practices. Things You Get To Do: Design highly scalable, mission-critical market data provider services Maintain good software quality and test coverage Participate in code reviews Troubleshooting on incidents and reported bugs Who You Are (Must-Haves): BSc/MSc or equivalent experience in Computer Science or related field Minimum 3 years of experience of backend software development Hands-on experience with Docker or Kubernetes DevOps mindset Excited about what we are building at Alpaca Knowledge of Agile/Scrum methodologies Who You Might Be ( Nice-to-Haves): Experience working with large datasets Experience with Kubernetes (CKA or CKAD certification is a plus) Experience with SQL Experience with IP networking Good understanding of the financial market Experience with any of the major cloud platforms (AWS/GCP/Azure) Hands-on knowledge with shell scripting, Linux & Docker Knowledge of microservice architectures Knowledge of clean code principles Our Tech & Infrastructure Stack: GoLang (primary), Python REST, gRPC, Websockets, SSE Docker, Kubernetes Google Cloud Services (Google Kubernetes Engine, BigTable) Prometheus, Grafana, ELK How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: San Francisco, CA Workplace: OnSite 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 a Solutions Marketing Manager to shape how LangChain brings its full platform to priority industries, enterprise buyers, and high-value use cases. This role sits at the intersection of product and GTM. You’ll translate customer problems into clear solution narratives, repeatable sales plays, campaign themes, and customer-facing assets that help teams understand where LangChain fits in their AI strategy. You’ll develop industry solutions, use case solutions, and enterprise solution stories for segments such as financial services, healthcare, life sciences, and other priority markets. You’ll work closely with sales, solutions, product, demand generation, field marketing, education, and customer teams to understand what matters in the field, turn those insights into messaging and collateral, and help create programs that support pipeline and revenue generation. The role covers the full LangChain platform, including Observability & Evaluation, Deployment, Sandboxes, LLM Gateway, Fleet, Engine, and OSS. The goal is to explain how these products work together to help companies build, deploy, monitor, and improve agents in production. You’ll define the problems we solve for specific audiences, package those into repeatable narratives, and help GTM teams take them to market. WHAT YOU’LL DO DEVELOP INDUSTRY AND USE CASE SOLUTIONS - Build solution narratives for priority industries and enterprise use cases. Initial focus areas include financial services, healthcare, and life sciences, with room to expand based on GTM priorities. - Translate customer problems into clear solution stories. You’ll connect LangChain’s platform capabilities to the business, operational, governance, and technical needs of specific audiences. - Define repeatable use case messaging. You’ll identify where agents can create value across functions and industries, then turn those patterns into solution briefs, use case pages, campaign assets, sales decks, webinar narratives, and customer-facing content. - Build a point of view on enterprise AI adoption. You’ll help explain how companies move from prototypes and isolated experiments to production deployments with the controls, visibility, and evaluation practices they need. - Stay close to the market. You’ll synthesize customer conversations, sales feedback, competitive activity, industry trends, and product signals into sharper messaging and GTM recommendations. SUPPORT ENTERPRISE GTM MOTIONS - Partner with sales, solutions, field marketing, demand generation, and customer-facing teams on targeted enterprise campaigns and account motions. - Build sales enablement for industry and enterprise conversations. This may include talk tracks, discovery questions, objection handling, use case maps, executive-ready decks, demo narratives, and competitive context. - Turn field learnings into reusable sales plays. You’ll work with account teams to understand what resonates with buyers and turn those insights into repeatable messaging, collateral, and campaign programs. - Create materials for complex buying committees. You’ll help LangChain speak clearly to technical buyers, AI leaders, IT and security stakeholders, business leaders, and functional teams. - Support pipeline and revenue programs. You’ll help connect solution narratives to campaigns, events, webinars, ABM motions, field programs, and sales follow-up. WHAT YOU’LL BRING - You have 3–6+ years of experience in solutions marketing, enterprise marketing, product marketing, developer marketing, industry marketing, or a related GTM role. - You’ve built messaging, collateral, or campaigns around technical products, AI/ML products, developer tools, B2B SaaS, infrastructure, automation, productivity tools, or platform products. - You can turn customer problems into clear solution narratives. You know how to move from “what the product does” to “why this matters for this audience, industry, or use case.” - You understand enterprise buying motions. You know how to create assets for complex buying committees, regulated industries, sales-led motions, and executive conversations. - You’re comfortable with technical products. You don’t need to be an engineer, but you should be able to learn technical concepts quickly, ask good questions, and translate details into customer-facing messaging. - You like working with sales and customer-facing teams. You’re interested in what happens in the field and know how to turn that feedback into stronger messaging and enablement. - You’re comfortable working across many audiences, including developers, technical buyers, operators, admins, AI leaders, business stakeholders, and nontechnical end users. - You can balance strategic thinking with execution. You can define a messaging POV, then build the deck, brief, landing page copy, or sales asset that brings it to life. - You’re comfortable with ambiguity and iteration. The market for production-ready AI agents is still being defined, and you’re excited to ship, learn, and improve. - You have genuine curiosity about agents, enterprise AI adoption, and how they will change how teams work. NICE TO HAVE - Experience building industry or solutions marketing programs for financial services, healthcare, life sciences, public sector, or other regulated industries. - Experience supporting enterprise sales teams through enablement, account-based campaigns, customer-facing storytelling, competitive support, or executive-facing collateral. - Familiarity with the LLM, agent, or AI application development ecosystem. - Experience with PLG motions, onboarding, activation, lifecycle marketing, or self-serve adoption. WHY JOIN - You’ll help build the solutions marketing motion at LangChain. There is room to shape how we define priority industries, package use cases, support enterprise campaigns, and enable the field. - You’ll work on a category that is moving from experimentation to enterprise adoption. Companies are trying to understand where agents can create real value and how to deploy them with control. - You’ll join a small, fast-moving team. You’ll get real scope, close access to product and GTM leaders, and the ability to ship meaningful work quickly. Compensation: 140,000 - 195,000K 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: India About Flosum Flosum is the only end-to-end platform purpose-built for Salesforce — trusted by Fortune 1000 enterprises, federal agencies, and high-growth organizations around the world. Our five integrated products — DevOps, Security Orchestration, CodeScan, Backup & Archive, and Data Migrator — give enterprises the confidence to accelerate delivery, simplify compliance, and scale Salesforce with precision. Founded in Silicon Valley and proudly self-funded, Flosum operates on a single guiding principle: your success is our success. We’re not optimizing for investor optics. We move fast, build with conviction, and put our customers at the center of every decision. The result is a 4.97-star rating on the Salesforce AppExchange and a customer roster that includes Cargill, Hilton, Cushman & Wakefield, and some of the largest federal agencies in the country. We serve enterprise IT leaders, Salesforce architects, DevOps teams, compliance officers, and government agencies — anyone whose organization depends on Salesforce operating securely, efficiently, and at scale. The Opportunity Flosum is at an inflection point. We have multiple product lines gaining traction across enterprise and mid-market segments, four active go-to-market motions — outbound sales, inbound/marketing-led, channel/partners, and product-led growth — and a lean, high-performing team that moves with urgency. What we need now is the operating infrastructure to match our ambition. We’re hiring a Director of Revenue Operations to be the architect of our revenue engine: the person who transforms disconnected GTM motions into a single, data-driven, capital-efficient machine. This is a builder role — not a maintainer role. You will design systems that don’t yet exist, enforce standards that currently aren’t enforced, and build the reporting infrastructure that makes every decision at Flosum smarter. This role reports directly to the CEO and is the highest-leverage operations hire we will make. You will touch every dollar of pipeline, every GTM motion, and every customer-facing team. What You’ll Own 1. Data, Reporting & Forecasting — Your Primary Mandate Your first 90 days are about establishing truth. Flosum runs on Salesforce, Marketo, and Gong.io. You will audit each, identify where data integrity breaks down, and rebuild the foundation: Design and own the forecasting architecture: weighted pipeline using actual historical conversion rates, forecast categories (Commit, Best Case, Upside), and a weekly cadence that drives ±10% accuracy within two quarters Build a standardized reporting hierarchy from the CEO’s decision-making needs down to frontline dashboards — eliminating the proliferation of reports nobody trusts Implement Salesforce data governance: mandatory stage-exit criteria, validation rules, controlled picklists, and loss-reason capture on every Closed Lost opportunity Segment reporting and forecasting by GTM motion — PLG self-serve revenue behaves differently from enterprise outbound and must be modeled and tracked separately Build and maintain the unit economics dashboard: CAC by motion, CAC payback period, LTV:CAC ratio, Magic Number, NRR/GRR, and S&M efficiency trends 2. Marketing Performance & Marketo Operations You don’t run campaigns — you govern the infrastructure that makes marketing measurable and accountable: Own the full lead lifecycle in Marketo: definitions, entry/exit criteria, and scoring model governance (with separate demographic and behavioral scores calibrated monthly against SQL conversion rates) Own Marketo-Salesforce sync governance: field mapping audits, sync log review, and API consumption monitoring Own multi-touch attribution: first-touch, last-touch, and influence models consistently applied across all four GTM motions Build and enforce speed-to-lead SLAs and SAL acceptance standards; build recycle plays for disqualified leads Monitor and report marketing funnel performance — lead volume, MQL-to-SQL conversion, channel efficiency, and marketing-sourced vs. marketing-influenced pipeline — and escalate anomalies before they show up in quarterly misses 3. Sales Process Governance You are the steward of how Flosum’s revenue actually gets created — not a gatekeeper, but the person who builds the standards: Design and enforce stage definitions with mandatory exit criteria; build deal desk processes for non-standard pricing and terms Own territory design, quota allocation methodology, and annual capacity planning — including ramp rates, hiring timelines, and coverage ratio targets by segment Run the weekly pipeline review cadence with sales leadership: stage conversion anomalies, stale deals, and forecast accuracy Design compensation plans that drive the right behaviors across all four GTM motions — with clear rules of engagement for multi-touch deals where outbound, inbound, PLG, and partner motions converge on the same account 4. Enablement Execution Through Gong.io At Flosum, enablement has historically been about delivery — training sessions, playbooks, messaging. You will own the other half: measurement and execution. After any messaging launch or methodology change, you will: Create Gong AI Trackers for the specific language, frameworks, and discovery questions reps should be using — and build adoption dashboards segmented by rep, team, and region Surface the gap between what was trained and what is actually happening on calls, and work with sales managers to close it with specific, Gong-sourced coaching examples Use Gong deal boards for pipeline inspection: multi-threading health, next-steps coverage, competitor mentions, and conversation-based risk signals layered onto CRM data Build the feedback loop: Enablement trains → Gong measures → RevOps reports gaps → Managers coach with specific call evidence → Enablement iterates. Without this loop, enablement is a cost center. With it, it’s a growth driver. 5. GTM Alignment Across All Four Motions Running outbound, inbound, channel, and PLG simultaneously creates real operational complexity. You will design the systems that prevent chaos: Build account-level ownership rules and real-time routing logic to prevent motion collisions (e.g., SDRs prospecting into accounts already working inbound MQLs, AEs working accounts with active PLG users) Design PQL routing logic with product usage trigger thresholds, account-level checks, and comp plan rules for sales-assisted PLG conversions Build deal registration governance and conflict resolution SLAs for the partner channel Own separate Opportunity Record Types per motion in Salesforce with unified roll-up reporting Run a monthly cross-functional GTM alignment meeting with sales, marketing, CS, and partner leadership — reviewing funnel health per motion and resolving ownership disputes before they fester What This Role Is Not We want to be honest about scope. A great RevOps leader at Flosum will push back when the role is being misused: You will implement an intake process, maintain a visible quarterly roadmap of four to five initiatives, and force trade-off conversations when new requests arrive. You say “not now” to good ideas that aren’t the most important idea. This is not sales operations with a rebrand. You serve the company, not any single department leader. Your loyalty is to revenue truth — even when the forecast is uncomfortable to present. Metrics You’ll Own Pipeline & Forecasting Forecast accuracy (±10% target within two quarters) Pipeline coverage by segment (3× SMB, 4× mid-market, 5× enterprise) Pipeline velocity: (Opportunities × Deal Size × Win Rate) ÷ Cycle Length, targeting +10% improvement QoQ Stage-to-stage conversion rates trended over time Marketing (Marketo) Lead-to-MQL, MQL-to-SQL, SQL-to-Opportunity, and Opportunity-to-Close rates by motion and channel Marketing-sourced and marketing-influenced pipeline (targets: 30–50% sourced, 50–70% influenced) Lead velocity rate (month-over-month qualified lead growth) Speed-to-lead SLA compliance and SAL acceptance rate Sales (Salesforce + Gong) Win rates by segment and motion Quota attainment distribution across the team (healthy target: 70–75% of reps at quota) Average selling price trends and discounting rate Sales cycle length by segment Enablement (Gong) Gong tracker adoption rates for key messaging and methodology by rep, team, and region Talk-to-listen ratios and topic coverage by deal stage Multi-threading indicators per deal stage Unit Economics CAC and CAC payback period by GTM motion LTV:CAC ratio by customer segment (target ≥3:1) Magic Number (Net New ARR × 4 ÷ prior quarter S&M spend; target >1.0) Net Revenue Retention and Gross Revenue Retention S&M as % of revenue (tracking toward 35% as we scale) Requirements What We’re Looking For 5–10+ years in Revenue Operations, Sales Operations, or GTM Operations in a B2B SaaS environment Direct experience operating across multiple GTM motions simultaneously (outbound, inbound, channel, and/or PLG) Hands-on Salesforce configuration experience — you can build Flows, design the data model, and implement validation rules without delegating everything to a developer Marketo (or equivalent marketing automation) operational experience: lifecycle architecture, lead scoring, and Marketo-Salesforce sync governance Gong.io (or equivalent conversation intelligence tool) experience: tracker creation, coaching dashboards, and deal inspection Demonstrated experience building a forecasting methodology from scratch — not just inheriting one Financial modeling comfort: unit economics, capacity planning, quota modeling, and comp plan design Experience at a company with $15M–$75M in ARR; you have built things with your hands, not just directed others to build them Strongly Preferred Experience in the Salesforce ecosystem (ISV, SI, or AppExchange partner) — you understand our buyers, our competitive landscape, and our channel dynamics Experience designing and governing partner/channel ops within a multi-motion GTMmodel SQL proficiency or experience with a BI tool (Tableau, Looker, Sigma, or equivalent) Prior experience designing and administering sales compensation plans The Mindset We’re Hiring For You Are a Builder You ask “Why does this exist, and should we rebuild it?” before touching a tool. You ship minimum viable systems and iterate relentlessly rather than designing perfect architectures that never launch. You Are Company-First Your loyalty is to revenue truth, not to any individual department leader. You present the forecast even when it’s uncomfortable. You push back when requests don’t serve the company’s priorities. You Are a Systems Thinker You see the revenue engine as an interconnected system. Changing lead scoring You Are Cost-Conscious You evaluate every tool, hire, and program through a unit economics lens. You resist “just thresholds ripples into pipeline coverage. Changing stage definitions changes forecast accuracy. You trace causes, not just symptoms add a tool” thinking. Flosum is self-funded and profitable — efficiency isn’t a constraint, it’s a competitive advantage. Benefits Build the Operating System for Flosum’s Next Phase of Growth 🏠 Remote-First 📈 B2B SaaS / ISV 🛠 Salesforce Ecosystem What You'll Get The authority and executive visibility to actually build — reporting directly to the CEO. Competitive base salary + performance-based variable compensation + equity A fully remote-first, global team that moves fast and operates with high trust The chance to build the GTM operating infrastructure of a profitable, self-funded Salesforce ISV with a category-leading product and enterprise customer base Daily exposure to top leaders in Salesforce DevOps and B2B SaaS operations What We Offer Opportunity to shape the digital strategy at a high-growth Salesforce ISV. Collaborative, innovative, and mission-driven culture. Competitive compensation and benefits. Career growth in a fast-scaling company serving global enterprises. Extras (Benefits & Perks) Competitive compensation, incentive structure, and company equity Daily coaching, mentorship, and growth opportunity Be part of a global, mission-driven team Learn from top leaders in Salesforce DevOps and SaaS sales Work on exciting challenges in a rapidly growing industry

Location: Dubai, United Arab Emirates We are looking for a skilled Plumber to join our team in Dubai. The role involves installation, maintenance, and repair of plumbing, water supply, drainage, and sanitary systems across residential and commercial projects. Key Responsibilities Install, connect, and maintain water supply systems, including pipes, fittings, valves, taps, and other plumbing components. Install and maintain sanitary and drainage systems in residential and commercial buildings. Install and connect sanitary fixtures and equipment, including sinks, toilets, bathtubs, showers, and related fittings. Install and maintain heating and hot water systems, including radiators, boilers, heat pumps, and associated piping. Install and maintain ventilation and air-conditioning-related plumbing systems where required. Carry out installation, maintenance, troubleshooting, and repair of plumbing and sanitary systems. Read and interpret technical drawings, plumbing layouts, schematics, and installation documentation. Perform pressure testing, leak detection, system checks, and other necessary inspections. Identify faults, leaks, blockages, and other issues and carry out the required repairs. Work with a variety of professional plumbing tools and equipment. Install and maintain specialized plumbing systems in commercial and large-scale facilities, where required. Follow safety requirements, use appropriate PPE, and maintain safe working practices on site. Cooperate with other technical and construction teams to ensure proper installation and completion of plumbing works. Requirements Proven experience as a Plumber / Plumbing Installer, preferably in construction, commercial, or large-scale building projects; experience in the UAE is highly desirable. Technical education or relevant professional certification in Plumbing, Mechanical Engineering, or a related field. Good knowledge of water supply, drainage, sanitary, heating, and hot water systems. Practical experience with pipe installation, fittings, valves, sanitary fixtures, and plumbing equipment. Ability to read and work with technical drawings and plumbing layouts. Experience in testing plumbing systems, detecting leaks, and troubleshooting faults. Ability to perform maintenance and repairs independently. Good knowledge of professional plumbing tools and equipment. Knowledge of workplace safety requirements and safe working practices. Attention to detail, reliability, and ability to work effectively as part of a technical team. Experience with large-scale residential, commercial, hospitality, or infrastructure projects will be an advantage. Benefits Competitive salary; Official UAE employment status; Accommodation provided by the company. Comprehensive medical insurance coverage; Working schedule 6 days per week from Monday to Saturday and Sunday is off.

Location: Dubai, United Arab Emirates We are looking for a skilled Electrician to join our team in Dubai. The role involves installation, maintenance, testing, and commissioning of electrical systems and equipment across construction and infrastructure projects. Key Responsibilities Install and connect electrical power systems and equipment, including power cables, distribution boards, transformers, generators, and related components. Perform professional installation of power and control cables, control cabinets, grounding systems, and cable/conduit routes. Read and interpret electrical drawings, schematics, technical documentation, and wiring diagrams. Install, connect, configure, and test new electrical equipment and systems. Carry out testing and commissioning of electrical systems and equipment. Perform measurements and electrical tests, including insulation resistance, phase sequence, circuit parameters, and protection device testing. Configure and test protective relays, circuit breakers, and other electrical protection equipment. Conduct preventive maintenance, troubleshooting, diagnostics, and repair of electrical equipment and systems. Identify electrical faults and take corrective action to restore proper operation. Use electrical testing and measuring equipment, including proper connection, setup, and calibration. Work with a variety of professional electrical tools and equipment. Follow electrical safety requirements, use appropriate PPE, and maintain safe working practices on site. Cooperate with other technical teams and support the successful completion and handover of electrical works. Requirements Proven experience as an Electrician / Electrical Installer, preferably in power networks, electrical installations, or construction projects; experience in the UAE is highly desirable. Technical education or relevant professional certification in Electrical Engineering or a related field. Good knowledge of electrical installation, maintenance, testing, and commissioning. Ability to read and work with electrical drawings, schematics, and technical documentation. Practical experience with power and control cable installation, distribution boards, control cabinets, grounding systems, and electrical equipment. Experience with electrical testing and measuring instruments. Knowledge of electrical safety standards and safe working practices. Ability to diagnose electrical faults and perform troubleshooting and repairs. Experience working on large-scale construction or infrastructure projects will be an advantage. Benefits Competitive salary; Official UAE employment status; Accommodation provided by the company. Comprehensive medical insurance coverage; Working schedule 6 days per week from Monday to Saturday and Sunday is off.

Location: United States; Canada Workplace: Remote Veda builds vault infrastructure for DeFi at scale. We manage billions total value locked across 15+ blockchain networks, powering yield strategies for partners including Kraken, Etherfi, and Plasma. Our protocol turns complex multi-chain DeFi positions into simple vault interfaces that institutional and retail users can actually trust. We’re hiring a Senior Backend Engineer to be a key design partner in our next-generation platform infrastructure. You’ll own the systems architecture that sits behind billions in assets, event indexing, data pipelines, risk engines, multi-chain orchestration, the infrastructure that has to be right because real money depends on it. You won’t be handed a spec. You’ll look at what we have, understand where we’re going, and figure out what needs to be built, rebuilt, or thrown away. Then you’ll build it. THE ROLE You’ll work with the team to evolve our production infrastructure from its current state into a platform that can scale with our growth. This means: - Designing and building the services that power our vault infrastructure, event indexing across 15+ chains, data platforms for risk calculation engines, real-time position tracking, and the orchestration layer that ties it all together. - Owning the cloud architecture end to end. We run on AWS. You’ll make decisions about how our services are deployed, how they scale, how they fail gracefully, and how we maintain them without hero culture. - Building data pipelines that are fast, correct, and auditable. Our vaults execute complex DeFi strategies across multiple protocols, Aave, Morpho, Uniswap, and more. The data infrastructure needs to keep pace with on-chain state across every network we operate on. - Making our systems observable and operable. Monitoring, alerting, runbooks, oncall-friendly architecture. You’ll help us move from “one person knows how this works” to “anyone on the team can diagnose this at 3am.” - Working across the boundary between on-chain and off-chain. Vault state lives on-chain. Risk calculations, indexing, caching, and API serving happen off-chain. You’ll design where that boundary sits and how data flows across it. - Communicating clearly about technical decisions. Writing design docs that the team can actually follow. Explaining tradeoffs to non-engineers. Turning ambiguity into shared understanding. This matters as much as the code. YOU HAVE - Deep cloud architecture chops. Significant experience with AWS in production at scale. - You’ve designed and operated systems where uptime matters, not “we should have five nines” slide decks, but actual production systems handling real load with real consequences when they break. - Strong systems engineering fundamentals. You’ve built event-driven architectures, data pipelines, caching layers, and API services that handle high throughput. You know the difference between a system that works in a demo and one that works during a bull market. - IaC fluency. Terraform, CI/CD, containerization, Infrastructure as Code. You believe infrastructure should be reproducible, version-controlled, and reviewable. - Excellent communication skills. You can write clear design documents, explain architectural decisions to teammates with different backgrounds, and have productive disagreements about technical direction. You make the people around you better by making complex things understandable. - You’ve seen production at scale. You’ve lived through systems that scaled past their original design. You know what breaks first, what compromises are temporary, and what shortcuts become permanent regret. - Strong opinions, loosely held. You’ve formed strong views through experience and you’re willing to defend them, but you change your mind when presented with better information. You care about getting it right, not about being right. EVEN BETTER IF - You have experience with blockchain data, indexing events, tracking on-chain state, dealing with reorgs, multi-chain consistency. Not required, but it’ll shorten your ramp significantly. - You’ve worked in DeFi or crypto infrastructure. You understand what a vault is, how yield strategies compose, and why TVL matters. - You have experience with Rust or Python in data-intensive contexts, we have systems in both. - You’ve built or operated multi-tenant platforms where different clients share infrastructure with isolation guarantees. WHAT YOU’LL WALK INTO We’re a 35-person team that’s raised $18M at Series A. The infrastructure works, it’s running in production handling billions in TVL, but it was built for the company we were, not the company we’re becoming. We’re transitioning from founder-dependent operations to scalable engineering practices. You’ll be a key part of making that real. Current stack includes AWS, Python, Rust, microservices architecture, and smart contracts across 15+ EVM and non-EVM chains. We’re actively investing in Infrastructure as Code, containerization, CI/CD, and proper oncall rotations. COMPENSATION Competitive base salary plus equity. We’re a Series A company heading toward Series B — early enough that your equity is meaningful, late enough that the business is real. We’re not building a prototype. We’re running production infrastructure that manages billions of dollars across dozens of blockchain networks for some of the biggest names in crypto. We need someone who knows how to make that kind of system reliable, scalable, and operable — and who can bring the rest of the team along while doing it.

Location: Redwood City, CA, United States 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. WHY BOX NEEDS YOU Box’s Edge team powers the connectivity behind our products, including Box Zones and applications hosted across our environment. We’re evolving from a ticket-driven support model to building automated, self-serve network capabilities that application and service owners can consume reliably at scale. We’re looking for a Software Engineer III to design and build backend services and automation that turn complex network functionality into simple, safe, and repeatable workflows. In this role, you’ll deliver high-impact systems using Python and Terraform, grounded in strong networking fundamentals. You’ll partner with internal customers to transform recurring requests into robust products, improving delivery speed, reliability, and developer experience across Box. WHAT YOU'LL DO Design and implement backend services and tooling in Python that make network capabilities accessible for internal application and service owners. Build and maintain Infrastructure as Code with Terraform to provision, configure, and manage network resources reliably. Translate partner needs into automated workflows that replace manual, ticket-based processes and scale across teams. Participate in design reviews, question assumptions thoughtfully, and contribute to decisions that improve reliability, security, and usability. Integrate observability and guardrails to support safe, auditable, and measurable network changes. Collaborate with cross-functional teams (application owners, reliability, platform) to define requirements and deliver end-to-end solutions. Write tests, documentation, and runbooks to support operational excellence and maintainability. Contribute to roadmap planning and continuous improvement of network automation patterns and standards. Participate in our on-call rotation, available at all times while on-call to help respond to and triage any issues that arise. WHO YOU ARE 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. 3+ years of professional software engineering experience with a strong backend focus. Proficient in Python with a track record of building production-grade services or automation. Hands-on with Infrastructure as Code, especially Terraform, including module design, reviews, and CI/CD integration. Strong understanding of networking fundamentals (e.g., TCP/IP, routing vs. switching concepts, DNS, load balancing, security groups/firewalls). Product mindset: you distill complex systems into safe, reusable abstractions and prioritize user experience for internal customers. Systems thinker who can break down ambiguous problems, propose pragmatic designs, and measure outcomes. Collaborative communicator who seeks diverse perspectives, builds alignment, and gives and receives feedback constructively. Nice to have: Experience with cloud platforms (GCP and/or AWS), service-to-service networking, and network automation tooling. Nice to have: Familiarity with observability platforms (e.g., Infroscope or similar), testing frameworks, and secure-by-default practices. 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.Your Recruiter will share more about how we work and company culture during the hiring process. 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! 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. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chair Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chair Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . 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 . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $165,000 — $206,500 USD

Location: Redwood City, CA, United States 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 Box is building the infrastructure that powers AI agents across our entire product ecosystem — and we need a hands-on engineering leader to run it. The Agent Runtime team is a platform team at the heart of Box's AI-first strategy. You will own the runtime engine that enables every Box product team to deploy and operate AI agents at scale, supporting tenants like Box Notes, Canvas, Automate, and Workflows. This is not a team that ships features in isolation — it is the foundation that makes Box's agent-powered products possible. You will lead a tight-knit team of six engineers (a hybrid of software engineers and ML engineers), work cross-functionally with product and engineering leaders across the company, and present weekly progress directly to VP-level stakeholders. If you are energized by fast-moving, ambiguous environments where the work you do has immediate and visible impact on the business, this is the role for you. WHAT YOU'LL DO Lead and grow a six-person hybrid team of software engineers and ML engineers building and operating Box's agent runtime platform. Own the onboarding of internal tenant teams onto the agent runtime, partnering closely with PMs and engineering managers across multiple product organizations to support their agent deployments. Drive the technical architecture of the agent runtime service, including the context retrieval layer, ensuring reliability, scalability, and quality. Champion an eval-driven development culture — define evaluation frameworks, run agent quality assessments, and use data to guide the team's technical direction. Manage and coordinate the team's on-call rotation to ensure timely and effective incident response, actively participate in escalated on-call incidents to provide leadership and support, and drive improvements by addressing recurring issues to minimize disruptions and deliver an enterprise grade platform. Present weekly plans, progress, and demos to VP-level leadership, maintaining high visibility and accountability for the team's execution. Contribute directly to technical solutions — including code — when the team needs it, modeling the player-coach approach that defines this team's culture. WHO YOU ARE 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. You bring 7+ years of software or ML engineering experience and have maintained strong technical fundamentals — you are comfortable with distributed systems, ML systems, and can roll up your sleeves and contribute code when the team needs it. You have 2+ years of engineering management experience leading hybrid teams of software engineers and ML engineers, and you lead from the front rather than from a distance. You have hands-on experience with AI agents or LLM-based systems — you can speak fluently about agent architectures (ReAct, planner-based, or similar), evaluation methodologies (recall, precision, NDCG, LLM-as-judge), and the real-world challenges of deploying customer-facing agents in production at scale You thrive in ambiguous, fast-moving environments where priorities shift with the industry — you adapt quickly, keep the team focused, and deliver customer value even when the plan changes. You are a natural cross-functional collaborator who has worked with multiple teams outside your own org — partnering with product managers and engineering leaders across different organizations is where you do some of your best work. Familiarity with LangGraph or other agent harness frameworks (e.g., DSPy, AutoGen) is a plus, though equivalent experience with other agent architectures is equally valued. 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. 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. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . 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 . Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $217,000 — $271,500 USD

Location: Canada, Waterloo, ON 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. Software Engineer II, Backend Waterloo, ON Build what’s next for players. We’re a startup inside Sony PlayStation: fast-moving, experimental, and highly ambitious, while backed by the scale, resources, and trust of Sony Interactive Entertainment. We’re building new mobile and web experiences that help gamers connect, discover, and play together in better ways. This is a rare opportunity to build at startup speed and deliver significant impact inside one of the largest gaming companies in the world. We are seeking a Software Backend Engineer to help design, build, and operate the services and data systems that power our new consumer experiences. Responsibilities Design, build, test, deploy, and operate reliable backend services and APIs for consumer applications across mobile and web. Contribute to backend architecture and technical decisions related to scalability, availability, consistency, latency, security, and cost. Design and maintain data models using relational and non-relational databases, caching systems, and asynchronous processing patterns. Build and maintain GraphQL and REST APIs that support mobile and web client experiences. Monitor and improve service performance, reliability, observability, and operational health. Partner with product managers, designers, and client engineers to translate product requirements into practical technical solutions. Participate in code reviews and share technical knowledge with other members of the engineering team. Requirements 3+ years of professional software development experience building backend services or applications. BS/MS degree in Computer Science, Software Engineering, or equivalent practical experience. Proficiency in server-side development (Node.js with TypeScript preferred). Experience with relational and non-relational databases, including data modelling, indexing, transactions, and performance optimization (PostgreSQL preferred). Experience designing, building, or integrating GraphQL and REST APIs. Familiarity with caching, message queues, event streams, or asynchronous processing systems. Understanding of cloud infrastructure, containerized services, CI/CD pipelines, and infrastructure as code. Experience working with production systems on AWS or another major cloud platform. Bonus Experience building social, community, gaming, or other consumer products. Understanding of real-time communication systems, including messaging, presence, notifications, and activity feeds. Experience working with social graphs, recommendation systems, content discovery services, or personalization platforms. Familiarity with trust and safety, content moderation, abuse prevention, or user-reporting systems. Previous experience at an early-stage startup or on a zero-to-one product team. 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. The estimated Ontario base pay range for this role is listed below. $119,400 — $169,400 CAD 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: Canada, Waterloo, ON 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. Senior Software Engineer, Backend Waterloo, ON Build what’s next for players. We’re a startup inside Sony PlayStation: fast-moving, experimental, and highly ambitious, while backed by the scale, resources, and trust of Sony Interactive Entertainment. We’re building new mobile and web experiences that help gamers connect, discover, and play together in better ways. This is a rare opportunity to build at startup speed and deliver significant impact inside one of the largest gaming companies in the world. We are seeking a Senior Backend Software Engineer to help define the architecture, services, data models, and technical standards that power our new consumer experiences. Responsibilities Define and evolve the backend architecture for highly available, scalable consumer applications across mobile and web. Design, build, test, deploy, and operate reliable backend services and APIs. Design data models and storage strategies across relational, non-relational, caching, and event-driven systems. Make thoughtful architectural decisions related to scalability, consistency, availability, latency, security, and cost. Drive performance optimization, service reliability, observability, monitoring, and incident response best practices. Establish coding standards, testing strategies, deployment patterns, and development practices that raise the quality bar for backend engineering. Partner with product managers, designers, and client engineers to translate product requirements into maintainable technical solutions. Mentor engineers and act as a multiplier for backend development expertise across the broader team. Collaborate with security, privacy, and platform teams to ensure systems meet appropriate data protection and compliance requirements. Requirements 5+ years of professional software development experience building and operating backend services in production. BS/MS degree in Computer Science, Software Engineering, or equivalent practical experience. Proficiency in server-side development (Node.js with TypeScript preferred). Experience with relational and non-relational databases, including data modelling, indexing, transactions, and performance optimization (PostgreSQL preferred). Demonstrated ability to design and build GraphQL and REST APIs. Familiarity with caching, message queues, event streams, and asynchronous processing systems. Solid understanding of cloud infrastructure, containerized services, CI/CD pipelines, and infrastructure as code (IaC). Hands-on experience building and operating production systems on AWS, including compute, storage, networking, databases, and IAM. Bonus A track record of building social, community, gaming, or other consumer products. Understanding of real-time communication systems, including messaging, presence, notifications, and activity feeds. Experience designing social graphs, recommendation systems, content discovery services, or personalization platforms. Experience with trust and safety, content moderation, abuse prevention, or user reporting systems. Previous experience at an early-stage startup or on a zero-to-one product team. 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. The estimated Ontario base pay range for this role is listed below. $141,900 — $212,900 CAD 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 | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Network Security team's remit is to secure Anthropic's networks across our cloud providers and our bare-metal AI data centers. We own egress and ingress controls, network segmentation, private connectivity between environments, and encryption in transit. We design, build, and maintain these controls, and we write the software that deploys, enforces, and monitors them. These controls protect our model weights, customer data, and internal assets. We are hiring an Engineering Manager to lead this team. Anthropic is adding data center sites and cloud regions quickly, and the team will grow with that work. In this role you will set the team's charter, practices, and priorities. You will partner with our infrastructure networking, cluster, and data center teams so security is built into network designs from the start. The goal is secure-by-default networking that lets research and product teams use compute in any environment without slowing them down. Key responsibilities We're hiring an Engineering Manager to lead a Network Security Engineering team in executing across critical initiatives including, but not limited to: Own the network security roadmap: threat model from the management plane through Kubernetes and cloud interconnects, decide what to build, and deliver it Be able to reason about the design and implementation of default-deny ingress and egress, segmentation between research, training, and production, private connectivity, and mTLS/service identity across every environment Ship these as secure-by-default primitives so new clusters, VPCs, and data center links inherit the right boundaries without security on the critical path Join networking, cluster, and data center teams at design time so topology, routing, and firewall decisions carry our invariants from day one Build visibility into traffic and boundary drift, with detection for exfiltration paths and automated remediation where safe Own the network security evidence for our security goals and compliance: the invariants hold, and you can prove it Hire, grow, and retain senior security software engineers; own their career development, and set the practices the team runs on as it scales Minimum Requirements: 8+ years of front line management experience Low ego, high empathy; has built diverse teams and has former reports who would work for them again Experience managing infrastructure or security engineering teams, including hiring, developing, and managing senior and staff engineers Has grown engineers into staff or lead roles, and has made the call to move someone out when coaching didn't work Kept a team intact and delivering through reorgs, charter changes, or leadership turnover Experience owning a security or infrastructure domain end to end: setting multi-year strategy, delivering year-long cross-organizational work with little direction, and answering to executives for its risk and tradeoffs Scaled a team and its systems together through hypergrowth, where last quarter's architecture was already too small Hands-on network security engineering in cloud and/or on-prem environments: VPC design, interconnects, private service connectivity, cloud firewall policy, egress control, physical segmentation, and out-of-band/management-plane security Threat modeling and risk assessment for networked systems, with the judgment to tell which controls reduce risk and which just look good on a diagram Secured Kubernetes networking at scale, or worked in high-assurance environments where controls had to be evidenced, not just deployed Preferred Qualifications: Built or rebuilt a hiring loop and held the bar while adding headcount quickly Exposure to large-scale distributed training and what it demands of a network Solved end-to-end networking problems directly with internal users, cloud account teams, and hardware or colo vendors Has taken infrastructure from zero to one and then to maturity: built the first version where nothing existed, then run and hardened it into a system other teams depend on at production-network reliability Pragmatic and steady: cares about unblocking research and product as much as a clean architecture, and brings patience and judgment to opinionated senior engineers Clear and persuasive communicator in writing and in person Familiar with AI security and safety concepts The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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.