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Location: California (remote); San Francisco Bay Area (remote) Workplace: Remote About Us Axelera AI https://www.axelera.ai is not your regular deep-tech company, we design AI inference silicon spanning edge and enterprise deployments, built on a low-power architecture that delivers strong performance-per-watt from embedded devices up through large-scale inference infrastructure. We're building out our US presence to bring this technology directly to the American compute buyers who feel power and TCO constraints most acutely: hyperscalers, neoclouds, and frontier model vendors. Our product line spans today's shipping edge inference platforms through our next-generation architecture purpose-built for large-scale inference economics, and we're scaling our Americas commercial team to land it with these customers. We are creating the next-generation AI platform to support anyone who wants to help advance humanity and improve the world around us. In just five years, we have raised a total of $450 million and built a world-class team of 250+ employees (including 60+ PhDs with more than 40,000 citations). While headquartered at the High Tech Campus in Eindhoven, Netherlands, we are investing heavily in growing our footprint across the US to be close to the customers and partners driving the next wave of AI infrastructure. Our commitment to innovation has firmly established us as a global industry pioneer, and the US is central to that next chapter. Are you up for the challenge? Position Overview We're looking for a (Senior) Director of Sales to own new business and account growth across hyperscalers, neocloud/inference-as-a-service providers, enterprises, and frontier AI labs in the Americas. This is a hands-on, quota-carrying role for someone who has sold complex semiconductor or compute infrastructure before and knows how to navigate long, technical, multi-stakeholder sales cycles - from technical evaluation through capacity commitment and deployment at scale. These deals rarely fit one route to market cleanly - a direct relationship with the buyer, an OEM/ODM layer building the physical systems, and the buyer's own supplier qualification process are usually all in play at once. You need to understand how those pieces interact, not just have experience in each individually. Success in this role depends on relationships you already have - decision-makers and technical buyers at target accounts who will take your call on day one. Key responsibilities: - Own and grow a book of business across hyperscalers, neocloud/inference-as-a-service providers, enterprises, and frontier model vendors in the US - Manage complex, technical sales cycles involving infrastructure engineering, procurement, capacity planning, and executive stakeholders - Navigate the layered routes to market inside each account - direct commercial relationship with the buyer, the OEM/ODM partners who build and integrate the physical systems, and any channel or qualification process the buyer runs for compute suppliers - Translate technical differentiation (power ceiling as revenue ceiling, performance-per-watt, TCO versus incumbent GPU/accelerator options) into commercial outcomes at hyperscaler and neocloud scale - Identify and close capacity commitments and design-in opportunities, from technical evaluation through deployment - Build and manage a qualified pipeline, forecast accurately, and report progress through Salesforce - Represent Axelera at industry events, customer visits, and technical reviews - Partner closely with product, field applications engineering, and marketing to shape go-to-market strategy for new silicon launches - Create, negotiate, and drive contracts through to close, working with legal and finance as needed Qualifications: - 10–15+ years of semiconductor or compute infrastructure sales experience, with a track record selling to hyperscalers, neoclouds, enterprises, and/or frontier AI labs - Fluency in how routes to market layer within a single account - direct commercial ownership of the buyer relationship, working through or alongside OEM/ODM system builders, and understanding any channel/qualification process the buyer runs — not just experience running separate direct, channel, and OEM motions in isolation - Existing relationships with US hyperscaler, neocloud, or frontier model vendor buyers - infrastructure, procurement, or technical leaders evaluating customer inference silicon - that you can activate quickly - Experience selling technical products with long, capacity-driven sales cycles, ideally AI/ML accelerators, GPUs, custom silicon, or related infrastructure - Prior experience at a semiconductor chip company or hyperscaler, neocloud, enterprise, or frontier lab accounts -established or startup - Comfort operating in a fast-moving startup environment with limited internal infrastructure - Strong written and verbal communication skills; ability to translate deep technical concepts (power ceiling, TCO, performance-per-watt) for both engineering and executive audiences. Heavy use of AI skills and technology to drive efficiency in your role. - Willingness to travel regularly for customer visits and industry events What Success Looks Like in Year One - A qualified, forecastable pipeline built substantially from your own network across hyperscaler, neocloud, and frontier model accounts - At least one significant capacity commitment or design-in secured - Established presence at 2–3 key industry events representing Axelera Location This role is based in the Bay Area, CA. We currently offer a flexible remote setup, with the option to move to in-office work in the future as we establish our Bay Area office. What we offer  This is your chance to shape and be part of a dynamic, fast-growing, international organisation. We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares.    An open culture that supports creativity and continual innovation is awaiting you. Collaborative ownership and freedom with responsibility is characteristic for the way we act and work as a team.  At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI. Axelera AI may at times work with external parties (such as recruiters, headhunters, or executive search firms) to support both publicly posted and confidential searches. Our hiring process never involves any payment from candidates, and we will never require you to use a particular paid service to be considered for a role. If you have been approached by someone on our behalf and want to confirm it’s legitimate, please contact us directly at careers@axelera.ai.

Location: Béthune, Pas-de-Calais, France 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’re looking for an L2  IT Technician in data center to support and maintain large-scale GPU clusters in a data center environment. We are seeking an experienced IT Hardware Support Engineer to This role focuses on troubleshooting of high-performance server hardware, including GPU clusters. You will be deeply involved in resolving complex hardware incidents, proactively handling L1/L2 support via the ticketing system. Working closely with IT infrastructure engineers and L3 technicians, you will help optimize diagnostics, reduce resolution times, and continuously improve SLA performance. Your responsibilities will include Solve hardware related issues with servers, involving in-depth advanced level troubleshooting Report to hardware problem management, execute workarounds and solutions Solve proactively L1/L2 tasks through ticket system Update new processes and documentation for IT hardware team Collaborate with IT infrastructure engineers and L3 Technicians to improve SLA with complex diagnostics Improve support processes, documentation and training materials Basic level of network tasks, troubleshooting and support Requirements Knowledge of datacenters, and server equipment Advanced knowledge of IT hardware and practical experience of troubleshooting Advanced skills working with the Unix/Linux operating system and command line Experience with equipment monitoring, data analysis and presentation Proactiveness and sense of responsibility High proficiency in spoken and written English It will be a bonus if you have Knowledge of network equipment and troubleshooting in advanced level Driving license type B 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.

Задачи: • Формировать AI-стратегию и roadmap бизнес-направления. • Находить наиболее перспективные точки применения AI. • Самостоятельно запускать первые прототипы и AI-пилоты. • Быстро проверять гипотезы и показывать первые измеримые результаты. • Создавать AI-агентов, RAG-решения и AI-автоматизации. • Формировать и приоритизировать портфель AI-инициатив. • Совместно с FDE и AI-командой доводить успешные пилоты до production и масштабирования. • Переосмысливать бизнес-процессы с учетом возможностей AI. • Работать с руководителями бизнес-направлений и защищать AI-инициативы. • Следить за развитием AI-технологий и применять новые подходы в реальных бизнес-кейсах. Требования: • 7+ лет профессионального опыта в технологиях, AI/ML, разработке продуктов или digital transformation. • Практический опыт запуска AI/ML или технологических продуктов. • Сильное понимание LLM, Generative AI, AI Agents и RAG. • Способность самостоятельно собрать работающий AI-прототип. • Product mindset и ориентация на быстрый результат. • Стратегическое мышление и способность формировать AI-roadmap. • Умение связывать технологии с конкретным бизнес-эффектом. • Опыт работы с руководителями и топ-менеджментом. • Высокая самостоятельность и ответственность за результат. AI-инструменты и технические навыки: • Практический опыт работы с OpenAI, Claude, Gemini, Llama, Qwen или аналогичными LLM. • Работа с LLM API, Prompt Engineering, Tool/Function Calling. • Создание AI-агентов с использованием LangChain, LangGraph, LlamaIndex или аналогов. • Практическое понимание RAG, embeddings, vector databases. • Использование AI coding-инструментов: Codex, Cursor, Claude Code или аналогов. • Python, REST API, SQL — на уровне, достаточном для самостоятельного создания прототипов. • Опыт работы с n8n, Make или другими инструментами автоматизации. • Понимание принципов работы и ограничений LLM, стоимости моделей и вопросов безопасности корпоративных данных. Кого мы ищем: • Не классического бизнес-аналитика или координатора. • Нужен человек, который способен: понять бизнес → увидеть возможность применения AI → самостоятельно собрать первый пилот → показать результат → сформировать roadmap → масштабировать решение вместе с командой. Главный результат: • Быстрые первые победы и последующая системная AI-трансформация бизнес-направления.

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE The Applied Science team builds models and tools that solve Ramp’s most critical problems: from underwriting businesses to combatting fraud to making spend management smarter. We’re deeply embedded in the business and provide a quantitative foundation for decision making. As an Applied Science intern, you’ll be a fully integrated member of the team and own your project from start to finish. Working with engineers, product managers, and business stakeholders, you’ll translate complex business needs into scalable machine-learning-driven solutions. This is a chance to apply ML concretely, ship code, and create genuine value for Ramp and our customers. You will focus on exciting problems in areas like: credit, fraud, growth, or our core product.   WHAT YOU’LL DO - End-to-End ML: own the model lifecycle from data exploration and feature engineering to training, benchmarking, deployment, and monitoring - State-of-the-Art AI: leverage the latest Large Language Models (LLMs) to solve novel problems and create new product capabilities for our customers - Versatile Techniques: apply the right tools to the right problems, whether it’s deep learning, gradient boosting, or causal inference - Rigorous Experimentation: quantify the impact of your work through A/B tests and other statistical methods - Collaborate: partner closely with product and business leaders to translate models and insights into actionable strategy and user-facing features   WHAT YOU NEED - B.S., M.S. or Ph.D. Student: currently pursuing a degree in Data Science, Computer Science, Math, Physics, Economics, Statistics, or other quantitative fields with an expected graduation date between Dec 2027 - 2029. Graduate degrees are preferred, but not a must. - Strong ML Fundamentals: solid understanding of the mathematical foundations of machine learning, statistics, probability, and optimization - Strong Interest or Experience with AI: curiosity and drive to integrate cutting edge LLMs and agents into applied solutions - Python Proficiency: good grasp of common Data Science libraries (pandas, scikit-learn, NumPy, PyTorch, etc.) - SQL Knowledge: experience wrangling data in a modern data warehouse (e.g. Snowflake, BigQuery, Redshift, Clickhouse) - Practical Experience: track record of curating datasets and building/evaluating ML models - Strong Communication: ability to clearly explain complex concepts to both technical and non-technical audiences and use data to build a compelling narrative - Bias For Action: a comfort with ambiguity and desire to ship solutions quickly then iterate   NICE TO HAVES - Publications, Projects, or Previous Experience: relevant experience applying AI/ML and demonstrating your passion for the field - Production ML Mindset: knowledge of software engineering best practices applied to ML including version control (Git), testing, and writing maintainable code - Data Orchestration: experience with leveraging modern data orchestration platforms (Airflow, Dagster, Prefect, Metaflow)   COMPENSATION - The monthly rate for this internship is $12,500 USD + housing stipend   RAMP BENEFITS - Apple MacBook - Catered lunches in NYC office Monday-Friday - Weekly coffee stipend BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Recruiting Analytics Data Engineer to join our People Data Solutions team, focusing on building and maintaining the data infrastructure that powers our recruiting analytics capabilities. You'll be the technical foundation for our recruiting analytics team, designing scalable data architectures and implementing robust data models that enable evidence-based decision-making across Anthropic. This role sits at the intersection of data engineering and recruiting analytics - you'll build the technical foundation for insights about recruiting funnels, interviews, and workforce planning while working with a team that's actively experimenting with AI to transform how we understand and support our workforce. Key responsibilities Data Infrastructure & Modeling Refactor and optimize our existing BigQuery tables to create a scalable data foundation that supports and enables AI-driven data insights across the company Design scalable data architectures and build dimensional models that transform raw HR data into trusted, reusable datasets for self-serve analytics while maintaining performance Implement data governance including documentation, lineage tracking, quality monitoring, and proactive alerting systems Ensure appropriate data access controls including row and column-level security for sensitive candidate data Pipeline Development & Integration Build and maintain ETL/ELT pipelines using dbt and Google BigQuery to integrate data from our HRIS (Workday), ATS (Greenhouse), and internal tools Create reliable data flows that handle both real-time needs and batch processing requirements Design fault-tolerant data pipelines with proper error handling and monitoring to ensure data freshness Automate data quality checks and validation across all pipelines Analytics Engineering & Modeling Develop semantic layers and comprehensive documentation that make complex recruiting data accessible to non-technical users Build data products that standardize key metrics like offer accept rate, time to fill, and headcount movement Partner with data scientists, software engineers, recruiting teams, and various other stakeholders to build scalable data models that serve needs across the company Minimum qualifications Are an expert in BigQuery including optimization and partitioning Have built dimensional models and understand slowly changing dimensions Are proficient in SQL, Python, and modern tools like dbt and Fivetran Have implemented data security and privacy controls in cloud warehouses Can translate HR concepts into scalable data models Communicate effectively with both technical and business stakeholders Preferred qualifications Have 5+ years in data engineering Familiarity with ATS platforms (Greenhouse, Lever) and their data structures Experience with building semantic layers for data agents Experience building data pipelines for survey data and text analytics Knowledge of graph databases or network analysis libraries Background in privacy-enhancing technologies or sensitive data handling Previous experience in high-growth technology companies or AI/ML organizations Familiarity with workforce planning and predictive analytics use cases The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $380,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London 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 Enterprise at Baseten means the companies with the most to gain from AI and the most complexity in getting there: large digital natives running products at massive scale, and category leaders in software, financial services, healthcare, and beyond. They have the data, the distribution, and the budget. Most are still deciding what to build, what to run themselves, and what it should cost. That makes this a consultative sale. You'll spend as much time helping a VP of Engineering pressure-test their AI strategy as you will selling against an alternative, mapping use cases, framing build-vs-buy, and giving clear recommendations grounded in what you've seen work at the frontier. Then you'll do the enterprise work: multithreading across a buying committee, navigating security and procurement, and turning a first workload into an eight-figure relationship. You'll work alongside our founders, forward-deployed engineers, and GTM leadership, in a seat where the playbook is still being written. RESPONSIBILITIES - Own a revenue target end to end, from prospecting and outbounding through closing Tier 1 accounts in your verticals - Act as a strategic advisor on AI adoption: identify use cases, shape architecture decisions, and lead with clear, opinionated recommendations - Multithread across large organizations, from the engineers running evals to the executives funding the program to security, legal, and procurement - Win lighthouse customers that become references for their entire industry - Partner with forward-deployed engineering on technical evaluations, POCs, and architecture reviews - Feed signal back to product and engineering. What enterprises need next is a roadmap input we don't get anywhere else REQUIREMENTS - 8+ years of enterprise B2B sales experience in technology, ideally infrastructure, API/platform, or developer tooling - A track record of closing seven- and eight-figure deals by navigating multi-stakeholder buying committees and long, complex cycles - Demonstrated ability to run a consultative sale. You've helped customers define a strategy, not just evaluate a product - Strong technical acumen: you can hold your own on model serving, GPU infrastructure, latency, and API architecture - Experience selling into large digital natives or regulated industries (financial services, healthcare/life sciences, insurance, government) - Excellent communication and comfort with high autonomy in a fast-moving environment NICE TO HAVE - Direct experience selling AI/ML infrastructure, cloud compute, or model deployment platforms 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: 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 We're looking for a product marketer to join the Claude Platform Product Marketing team. You'll drive go-to-market for launches across the platform, from new API features and developer tools to the capabilities that ship with new models. In this role, you'll partner with Product to bring new capabilities to market, write the positioning and messaging that explain what each one does and who it's for, and give Sales the narratives and materials they need to win technical deals. If you've run launches for developer platforms, API products, or technical infrastructure and want to launch new capabilities every week, this role is for you. Responsibilities Lead end-to-end go-to-market planning and execution for new platform products, features, and capabilities Develop compelling product messaging, positioning, and value propositions aligned with technical audience needs Drive product launches that generate market momentum, from flagship releases to incremental feature updates Design and implement developer marketing campaigns to drive API adoption and platform usage Support sales enablement initiatives that equip our teams to win: battlecards, pitch materials, customer stories, and objection handling Partner with Product to shape roadmap priorities based on competitive intel, customer research, and field feedback Work closely with Developer Relations, Comms, Creative, Marketing, and Sales to effectively bring new products to market Minimum requirements Have a proven track record of developing and executing go-to-market strategies for API products or developer tools, including successful product launches Have a strong technical background with the ability to understand and communicate complex AI features to both technical and non-technical audiences Excel at cross-functional collaboration, particularly in aligning Product, Sales, and Marketing strategies Possess strong storytelling skills with a demonstrated ability to create diverse marketing content, including blogs, presentations, sales collateral, website copy, and customer case studies Have exceptional writing skills with a demonstrated ability to adapt tone, style, and complexity for diverse audiences (executives, technical users, end customers) and formats (long-form content, product briefs, email campaigns, social media) Preferred requirements Have 10+ years of product marketing experience and at least 5 years focused on developer platforms, APIs, or technical products Experience in highly competitive markets requiring sharp differentiation A background in marketing AI/ML products or developer tools to enterprise buyers Experience working closely with Sales teams on strategic, technical deals Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week. We encourage you to apply even if you might need some flexibility for an interim period of time for relocation. 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: $320,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As a Staff Security Engineer on Security Incident Response, you'll serve as a senior technical leader and builder for the team, helping shape both how we respond to incidents today and how our response capabilities evolve over time.This role is about advancing what the team is capable of, not just responding when something breaks. You'll design and build the AI-assisted systems that extend the team's reach, lead the response to the most complex incidents, and own programs that make the organization more prepared over time, from tabletop exercises and gamedays to the continued advancement of threat hunting and insider risk capabilities. You bring engineering depth, sound incident judgment, and the ability to plan, and deliver complex work against a longer-term maturity roadmap not just execute against a queue. This is a senior individual contributor role with organization-wide impact on how 1Password investigates, contains, and learns from security incidents. This role reports to the Manager, Security Incident Response. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - Significant experience leading complex, high-severity security incidents across multiple environments, including serving as an incident commander or equivalent technical lead. - Experience designing and building AI-assisted or agentic automation for security operations (triage, investigation, containment), with sound judgment about where automation should and shouldn't hold decision authority. - Strong software engineering skills, and experience building production tooling, automation, or systems rather than only operating existing security platforms. - Experience owning a security program or capability roadmap end to end, including planning, sequencing, and delivering multi-quarter work. - Strong understanding of cloud-native, SaaS, and identity-driven attack techniques and response approaches. - Experience designing and running tabletop exercises, gamedays, or comparable readiness programs and translating findings into improvements.. - Strong written and verbal communication skills, including the ability to represent technical tradeoffs to senior leadership and cross-functional stakeholders. - Experience mentoring engineers or otherwise raising the technical and investigative capabilities of a team. How you'll work: - You look for opportunities to build systems that scale the team's capabilities rather than relying on repeated manual effort, and you're interested in thoughtfully applying AI and automation where they can improve security outcomes. - An experienced incident commander who brings structure to complex incidents, makes sound decisions with incomplete information, and helps teams move forward during high-pressure situations. - You're comfortable taking ownership of a capability from strategy through execution, including defining priorities, sequencing work, navigating dependencies, and delivering against a longer-term roadmap. - You can operate as a technical partner to leaders and cross-functional teams, independently representing technical priorities, risks, and tradeoffs. - You value continuous improvement and contribute to an environment where teams can examine incidents, decisions, and failures openly and turn what they learn into stronger systems and practices. What you can expect: - Serve as incident manager and technical escalation point for complex, high-severity events, bringing structure, sound judgement, and clear decision-making under pressure. - Design and build AI-assisted and automated systems that improve how quickly and consistently the team can triage, investigate, and contain incidents. - Establish appropriate safety controls, approval gates, auditability, and rollback mechanisms for automated and AI-assisted actions, ensuring high-impact decisions remain appropriately human-controlled. - Own the team's readiness programs, including tabletop exercises and incident gamedays, from scenario design and execution through debriefing and translating finishes into concrete (or measurable) improvements - Advance the team’s threat hunting and insider risk capabilities by identifying opportunities, defining priorities, and delivering roadmap work that improves investigative depth and coverage - Plan, sequence, and deliver multi-quarter initiatives that mature the team's capabilities, bringing project management discipline to work that doesn't fit neatly into a sprint. - Mentor and provide technical leadership to other engineers, strengthening engineering rigor and investigative judgement across the team. - Partner with Security Operations, Product Security, and Engineering teams to close gaps surfaced through investigations, hunting, and simulations. - Foster psychological safety and blameless learning across incident retrospectives, gamedays, and tabletop debriefs. - Extend strong incident response practices beyond the immediate team by building reusable systems, tooling, and operating patterns that strengthen response capabilities across areas such as PSIRT, Privacy, and Engineering. USA-based roles only: The annual base salary for this role is between $192,000 USD and $278,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $167,000 CAD and $242,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. We're looking for a Partner Field Sales Manager based in the US. This is a high-energy, relationship-driven professional who can accelerate revenue by driving partner-sourced and partner-influenced sales across the Nebius partner ecosystem in North America. This is a quota-carrying role responsible for working hand-in-hand with our field sales teams and strategic partners (Nvidia), including Global system integrators (SI's & GSI's), and channel partners across the North American market to identify, influence, and close new opportunities. You'll also play a key role in expanding and deepening our partnerships throughout these markets, helping source & qualify new opportunities, developing joint solutions, and driving GTM with partners. The ideal candidate is a self-starter with strong sales instincts, partnership acumen, and executive presence. We are looking for someone who can think strategically while executing rigorously to deliver incremental revenue and pipeline growth across North America. What You'll Do Own and deliver against a revenue quota for partner-sourced and partner-influenced bookings across the assigned North American Sales segment. Collaborate closely with the field sales teams to integrate partners into key account strategies and deal cycles. Build and execute strong joint sales motions with SIs, GSI's, Nvidia, and channel partners to expand the Nebius reach and accelerate pipeline across these markets. Serve as the primary partner sales interface for your assigned Nebius sales segment, ensuring alignment between regional sellers, partners' field teams, and global partner programs. Develop and execute joint account planning workshops, account collaboration calls, partner campaigns, and demand-generation activities with priority partners across these markets. Drive joint forecasting, pipeline visibility, and reporting to ensure partner contributions are tracked and recognized. Define joint GTM plays, delivery frameworks, and enablement paths to ensure scalable, repeatable customer success. Work closely with the global and regional Partner Development, Sales, and Marketing teams to ensure alignment of partner strategy, programs, and field execution across these markets. Collaborate with Product and Solutions Engineering to support partner-led projects, and proof-of-concepts. Serve as the voice of your assigned North American Sales Segment, providing feedback and insights to shape Nebius’ broader partner strategy. Maintain accurate partner pipeline data, revenue forecasts, and performance metrics. Lead quarterly business reviews (QBRs) with key partners and internal stakeholders. Continuously refine partner engagement models based on data-driven insights and field feedback in a dynamic market. Who You Are Experienced Sales & Partnerships Professional: 10+ years in enterprise software sales, channel sales, or strategic alliances; ideally in the cloud, AI, data, or analytics space. Quota-Carrying Performer: Demonstrated success meeting or exceeding sales and revenue targets through partner ecosystems. Partner-Savvy: Deep understanding of SI/GSI, Channel, and Nvidia partner models including co-sell, marketplace, and resale motions. Strategic + Tactical Operator: Can develop GTM strategy and roll up sleeves to drive execution with field and partner teams. Strong Communicator & Influencer: Excellent verbal, written, and presentation skills; comfortable engaging both internally and externally at executive levels. Relationship Builder: Skilled at navigating complex partner organizations, aligning incentives, and building long-term, trust-based relationships. Self-Starter with Grit: Operates autonomously, thrives in high-growth build environments, and drives outcomes without heavy structure. Collaborative Team Player: Works seamlessly across sales, marketing, product, and partner functions; coachable and open to feedback. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $150,000 — $180,000 USD 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: 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. Role Summary We are looking for a Network Security Engineer to join our Network team. This role combines deep expertise in network engineering and cybersecurity. You will help implement end-to-end network security architectures for enterprise and data center backbone/fabric environments, work with network architects and the management team to guide these designs through review and approval with the Security team, and operate and maintain the implemented solutions day-to-day. You are expected to be hands-on with leading firewall platforms (Palo Alto, Check Point, etc.), understand complex routing and switching designs, and be comfortable implementing and troubleshooting these networks. Responsibilities Implement and maintain Zero Trust-aligned security architectures for both enterprise and data center networks. Configure Layer 3/4 & Multi-VRF Segmentation, Security Policies, Secure Remote access. Implement and test large hyper scale DC Security solutions :  IPS/NDR solutions ,  AntiDDOS solutions. Integrate NGFW platforms with modern identity providers such as Microsoft Entra ID and Okta, maintain NGFW management, automation, and logging capabilities required by the Security team. Implement and maintain Security Capabilities, including Layer 7 application inspection, IPS, user identification, ZTNA, and SASE integrations. Integrate and operate monitoring tools such as Zabbix, Grafana, and Akvorado. Regularly perform security hardening, vulnerability management, and patching and upgrades on network and infrastructure devices, and verify the effectiveness of these procedures. Required Qualifications Experience in networking and security protocols (TCP/IP, HTTP(S), DNS, TLS, IPsec, Routing protocols ) Experience and Knowledge of  Backbone & Datacenter technologies (EVPN, L3VPN MPLS, MPBGP, L2VPN..) Hands-on experience with next-generation firewalls (Palo Alto Networks, Check Point, or similar). Experience with automation using Python, Go, or equivalent. Proficiency in Unix/Linux and experience with major network vendors (Cisco, Juniper, Aruba, etc.). Experience configuring and troubleshooting NGFW capabilities and integrations, including IPS, User-ID, Microsoft Entra ID, and ZTNA. Preferred Qualifications Good knowledge of IPv6. Experience with automation tools (Ansible, Terraform, NetBox, SaltStack, etc.). Experience with large-scale, highly available distributed systems. Knowledge of Zero Trust principles and micro-segmentation approaches. Relevant certifications (CCNP/CCIE, PCNSE, NSE 4/7) and professional working proficiency in English. Familiarity with commercial or open-source monitoring, logging, and security analytics solutions such as Splunk; EDR/XDR platforms such as CrowdStrike; and centralized NGFW management platforms such as Panorama, Strata Cloud Manager, and FortiManager. Bonus: Exposure to DevSecOps practices (SAST/DAST), CSPM/CWPP platforms such as Wiz, EDR, offensive security (OSCP/CPTS, red teaming), or security frameworks, standards, and regulations such as ISO/IEC 27001, NIST CSF, and GDPR. 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: Remote About Lemon.io http://Lemon.io Lemon.io http://Lemon.io is a profitable, growing talent marketplace that connects vetted senior engineers with companies that need them. We’ve been in business for 10 years, have 60 people across Ukraine, Europe, Canada, and the US, and process over $16M in annual GMV. We compress the traditional 2–5 week hiring timeline down to 24–48 hours through a curated, pre-vetted supply of developers. Hiring is still broken. Recruiters spend weeks building candidate pipelines on traditional platforms, burning energy on unqualified leads. We’re building the product that changes that. Giving recruiters qualified, vetted candidates within 24 hours without the grind. This is a pivotal moment: we’re transitioning from a services-driven marketplace to a technology-driven platform. We need an engineering leader who can drive that transformation.   The Role You will own engineering at Lemon.io http://Lemon.io. You’ll lead a growing team of engineers, make critical architecture and prioritization decisions, and be directly accountable for the speed and quality of what we ship. This is not a management-layer role. You’ll be hands-on, deeply involved in product decisions, and working side by side with the founder.   What You’ll Do: - Own the technical roadmap and make sure every engineering effort maps directly to business impact. No features for features’ sake. - Lead and grow an engineering team that ships fast, iterates constantly, and treats complexity as a cost. - Tackle the hard, multi-layered problem: automated vetting, intelligent matching at scale, demand-side bottlenecks. And figure out where the real leverage is. - Make hard prioritization calls. Decide what we build, what we skip, and what we kill. - Work directly with the founder and product team to define what success looks like before writing a single line of code. - Build the engineering culture: high ownership, high speed, low bureaucracy. Who You Are: - Product-minded, business-first - Obsessed with simplicity - First principles thinker - Fast. Bias toward action Experience: - You’ve led engineering teams (5–30+ people) at a startup or high-growth company. - You have hands-on experience with modern stacks and are comfortable with AI/ML tooling. - You’ve worked in a distributed, async-first team. Why Lemon.io http://Lemon.io: - Profitable and growing. No fundraising pressure, real business fundamentals. - A pivotal moment: you’re not maintaining an engine, you’re building one. The product roadmap is wide open. - Direct access to the founder. No layers. Your decisions ship. - A massive, unsolved problem: hiring is still broken. We’re building the product that makes it radically faster for companies to find qualified engineers. - A team of 60 people who move fast, care deeply, and have survived the hard years together.

Location: United Kingdom At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our  Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate  innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary The Solutions Consultant at Reltio plays a pivotal role in the sales process, partnering with Account Executives to understand prospective customers' business challenges and to articulate the value of Reltio's cutting-edge data unification and AI-driven solutions. This individual will be responsible for developing and delivering compelling presentations and demonstrations, designing tailored solution architectures, and acting as a trusted technical advisor to prospects. The ideal candidate is passionate about data, possesses strong communication and presentation skills, and thrives in a fast-paced, innovative environment. Key Responsibilities: Collaborate with the sales team to identify and qualify sales opportunities, understanding customer needs and business objectives related to data unification and AI. Develop and deliver engaging, customized product demonstrations and presentations that effectively showcase Reltio's value proposition. Design and propose high-level solution architectures that address specific customer requirements and integrate with their existing technology landscape. Develop and deliver highly customized, compelling product demonstrations and proof-of-concept (POC) engagements that showcase differentiated value. Respond to technical questions and objections from prospective & existing customers, providing clear and concise explanations. Lead and manage technical aspects of Request for Proposals (RFPs) and Request for Information (RFIs). Build and maintain strong relationships with technical stakeholders and decision-makers within prospect/customer organizations. Stay current with industry trends, competitive landscape, and Reltio's product advancements in data unification and AI. Provide feedback from the field to Product Management and Engineering teams to contribute to product enhancement and innovation. Assist in the creation of sales tools, best practices, and re-usable assets for the pre-sales organization. Support marketing events, including trade shows and webinars, by delivering presentations and demonstrations. Requirements Required Experience/Skills/Education/Abilities: Minimum 3 years of experience in pre-sales, solutions consulting, or a similar customer-facing technical role within the enterprise software industry. Demonstrable understanding of enterprise data challenges, data integration concepts, and the value of data unification. Proven ability to articulate complex technical concepts to both technical and non-technical audiences. Excellent presentation, communication (written and verbal), and interpersonal skills. Strong problem-solving skills and the ability to think strategically and analytically. Experience with enterprise software sales cycles and methodologies. Bachelor's degree in Computer Science, Information Technology, Engineering, Business, or a related field. Ability to travel to customer locations as needed. Desired Experience/Skills/Education/Abilities: Experience with SaaS solutions, cloud architectures, and data platforms. Familiarity with AI/ML concepts and their application in data management or business intelligence. Hands-on experience with AWS, Google Cloud Platform (GCP), or Microsoft Azure. Knowledge of specific industry verticals (e.g., Life Sciences, Healthcare, Financial Services, CPG/Retail) Experience with data modeling, ETL processes, or API integrations. Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Muse Group разрабатывает международные продукты для музыкантов с 400+ млн. пользователей, включая Ultimate Guitar, MuseScore, Audacity и другие. Вакансия предполагает опыт создания инструментов на базе AI/LLM, опыт работы в роли platform engineer, DevEx lead, AI/ML infra engineer. Возможна удалённая работа или работа с Кипра. Фаундер компании — Евгений Найденов. Размер компании — 250-500 человек.

Location: United States; Canada Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ROLE OVERVIEW Ready to build AI agents that revolutionize enterprise security? The North Security team is looking for a Senior Software Engineer to create autonomous systems that handle the complex, critical tasks security practitioners face every day. KEY RESPONSIBILITIES As a Senior Software Engineer focused on agentic security, you'll build intelligent systems that empower security teams. Your responsibilities will include: - Build autonomous security agents that perform alert triage, secure code reviews, threat modeling, and vulnerability assessment - Develop agent orchestration systems that help security practitioners automate repetitive security tasks - Design and implement agent security controls to ensure our AI agents can safely interact with sensitive enterprise data - Create the security infrastructure that allows agents to operate in high-trust environments with stringent deployment requirements - Ship production-ready agent capabilities that run efficiently in resource-constrained environments - Research and implement novel security patterns for AI agent systems, sometimes requiring custom solutions where standard libraries fall short - Conduct security testing of both the agents you build and the platform that runs them. QUALIFICATIONS - 5+ years of software engineering experience with a track record of shipping user-facing security features - Strong Python development skills with significant production experience - Experience building or working with autonomous systems, AI agents, or intelligent automation - Solid understanding of security principles including session management, authentication, authorization, and secure coding practices - Ability to think about security at multiple layers: application security, agent behavior security, and infrastructure security - Comfortable working across the full stack and diving into unfamiliar codebases to understand and fix issues - Thrive in fast-paced environments where you can adapt to evolving priorities - Excited about the intersection of AI/ML and security engineering. WORKING LOCATION This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What’s the opportunity? The Research, Analytics & Data Science (RAD) team at Intercom uses data and insights to drive evidence-based decision-making. We're a team of data scientists and product researchers who use data - both big and small - to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. We’re now seeing strong demand for data scientists who can apply their expertise directly with our most strategic customers. As a Forward Deployed Data Scientist, you’ll embed with customers to build Enterprise-grade Fin deployments. You’ll play a pivotal role in transforming how our most strategic customers scale customer support — working closely with them and our go-to-market teams to design, build, and implement data-driven solutions that unlock measurable impact. You’ll also feed insights from these frontline deployments back into Intercom’s product and strategy — helping shape the future of AI customer service. This is a high-ownership role for someone who thrives in ambiguous environments, is energized by solving complex, real-world problems with data, and is motivated by seeing their work translate into both customer impact and product evolution. What will I be doing? Drive the adoption of Fin by helping customers automate and scale their support operations. Embed with strategic customers to understand their support workflows, data, and business challenges — to identify and implement opportunities where AI can deliver measurable impact. Steer customers toward best practices in measurement and AI adoption to realize the full value of Fin. Partner closely with Sales, Success, and Product to deliver seamless customer experiences and successful deployments, and to create feedback loops that shape product development. Use AI to prototype, test, and scale data-driven solutions, building tools that make us faster and more effective in driving Fin adoption and customer impact. What skills do I need? Proven ability to apply data science in real-world business contexts to drive measurable outcomes. Strong collaboration mindset; skilled at working across Sales, Success, Product, and Engineering. High adaptability and ownership: able to shift between deep technical analysis and high-level strategic framing. Excellent communication skills, both technical and non-technical. Rapid prototyping with systems thinking: you know when a customer needs a fast, bespoke answer, and when to build something others will keep using. Excellent SQL and production-aware Python, you write code other people can run, not just code that runs once and are experienced applying analytical and statistical methods to real business problems. Experience with AI/ML evaluation, LLM-driven applications, or conversational AI. Willing to travel and work on-site with customers to build deep relationships and uncover insights firsthand. Bonus skills and attributes Experience in technical consulting, customer-facing analytics, or SaaS product data science. Experience reframing the problem, not just solving it, you've spotted when the question you were handed wasn't the right one, and changed what got worked on. Experience applying AI to scale the data science workflow. *Proof of eligibility to work in the United States is required. The base salary range for candidates within the San Francisco Bay Area is $206,600- $229,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

АО «Казахтелеком» приглашает на позицию Senior AI Officer специалиста, способного самостоятельно запускать AI-пилоты, демонстрировать их бизнес-эффективность и разрабатывать AI-стратегию для направления. В обязанности входит формирование AI-стратегии и дорожной карты, выявление и запуск AI-кейсов, создание AI-агентов, RAG и автоматизаций, а также доведение успешных пилотов до промышленного внедрения. Важна работа с руководителями для обеспечения связи AI-инициатив с бизнес-результатами. Кандидат должен иметь более 7 лет опыта в технологиях, AI/ML, продуктовой разработке или цифровой трансформации, практические навыки создания AI-решений, уверенное понимание LLM, AI Agents, RAG, владение Python, API, SQL, опыт работы с LangGraph/LangChain, n8n/Make, а также навыки vibe coding с инструментами типа Codex, Cursor, Claude Code. Требуются самостоятельность, продуктовый подход и стратегическое мышление. Формат работы — офис, зарплата в диапазоне 1–2 млн тенге NET.

Продукты: — Atomic Agent — open-source local-first AI-агент, работающий на устройстве пользователя. — AI/ML API — платформа с 400K+ пользователей для доступа к AI-моделям через единый API. — Atomic Bot — простой запуск OpenClaw в один клик. Задачи: — писать контент на английском: посты, треды, статьи, туториалы и кейсы; — развивать X, Reddit, GitHub, Discord и другие AI-комьюнити; — запускать коллаборации с AI-компаниями, KOLs и разработчиками; — работать с email, SEO и органическим ростом; — тестировать маркетинговые гипотезы и анализировать результат в GA4, PostHog и других инструментах; — создавать короткие видео и простую графику. Требования: — от 1 года опыта в digital, community или content marketing; — английский B2+; — понимание культуры X, Reddit, Discord; — сильные навыки письменной коммуникации; — базовое понимание аналитики и UTM; — самостоятельность, инициативность и интерес к AI/Tech. Будет плюсом: — опыт с AI, SaaS, developer tools или open-source; — понимание AI/LLM, developers, self-hosted и локальных моделей; — SEO, GA4, Google Ads; — опыт работы с технической аудиторией, KOLs и международными партнёрами; — техническое или математическое образование. Условия: — международные AI-продукты и глобальную аудиторию; — прямое взаимодействие с CMO и продуктовой командой; — возможность быстро вырасти в Marketing Manager; — обучение за счёт компании; — 28 дней отпуска + 100% больничных; — гибкое начало рабочего дня; — выплаты в рублях, валюте или USDT. Локация: Москва / Санкт-Петербург, офис. Удалённый формат не рассматриваем. Требуемый уровень английского: B2+.

Location: United States; Austin; Phoenix; Seattle; Chicago; California; Denver Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? As an Account Executive at Cohere you will have ownership of the full sales cycle - from identifying leads to closing deals, with State, Local and Higher Education customers in the Western region of the United States. In this role you will be focussed on business development activity within the government departments and agencies at the state and local level, as well as within higher education within your territory.. We’re looking for an approachable and compelling communicator who loves working with SLED customers to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them drive better citizen outcomes. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across Customer Success, Sales Development, Marketing, and Sales Engineering. You’ll be the voice of the field and help our Product and Engineering teams prioritize the Cohere roadmap with customer-centric care. In this highly self-directed role, you will thrive in a quickly evolving environment. As an Account Executive, you will: - Drive net-new customer acquisition through targeted outbound activity, senior leader engagement, and relationship building across SLED organizations. - Develop and execute a sales plan and prioritization for the SLED market in your territory, identifying pathways and partners to scale growth regionally. - Act as a trusted advisor and thought partner to SLED customers and prospects by understanding their goals and shaping AI solutions that deliver measurable value - Work closely with channel and local partners, particularly Distributors and VARs as well as major system integrators to scale outreach, accelerate adoption, and maximize customer success - Leverage senior-level relationships with executives and government decision-makers to drive strategic opportunities and long-term partnerships - Collaborate with Product and Engineering teams on strategic efforts to deliver enterprise and public-sector solutions - Partner with SDRs and Marketing to drive top-of-funnel activity and overall territory growth - Own the full sales cycle; including discovery, technical and business validation, proof-of-concept, procurement, and deal close within a team-selling environment You may be a good fit if you have: - 5+ years of direct public sector sales experience in the SLED Market, with a proven track record of closing $2M+ annual quotas. - Deep knowledge of SLED procurement cycles and decision-making processes, how to work with resellers, VARs and distributors. - Established regional network, including state and local departments and agencies, prime contractors, and industry associations. - Experience selling SaaS, AI/ML, or enterprise software solutions to government clients. - High tolerance for ambiguity, you are both a strategist and a hands-on operator capable of building a market from the ground up - Strong organizational skills, with the ability to manage multiple internal and external stakeholders across fast-moving deals - Creativity and strong technical acumen to structure unique, mutually beneficial partnerships - Excellent communication skills, you listen deeply, understand what matters to senior decision-makers, and confidently present to both technical and non-technical audiences - Preference given to candidates within California, Texas, Washington, Arizona and Colorado with willingness to travel (25-35%). Cohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.