Вакансии

Задачи: — Проектировать и реализовывать высоконагруженные сервисы и API на .NET Core для интеграции AI-пайплайнов с ядром бронирования и внутренними системами авиакомпании. — Создавать интерфейсы на Vue.js для визуализации рекомендаций по ценообразованию, аналитических дашбордов и инструментов управления правилами. — Участвовать в интеграции ML-моделей и LLM в продакшен: от приёма данных и вызова инференса до отображения результатов пользователю. — Участвовать в построении ETL/ELT-пайплайнов, работе с потоками данных, интеграции с Data Lake/Warehouse, обеспечении стандартизации и качества данных. — Писать чистый, поддерживаемый код, проводить код-ревью. Требования: — Опыт коммерческой разработки на .NET Core / C# от 4 лет, включая ASP.NET Core, Web API, EF Core, понимание принципов построения высоконагруженных бэкенд-систем. — Опыт коммерческой разработки на Vue.js от 3 лет: Vue 3, Composition API, Pinia/Vuex, Vue Router, опыт построения SPA и работы с REST/WebSocket API. — Опыт разработки продуктов с AI/ML в продакшен-архитектуре, понимание жизненного цикла ML-моделей, интеграция инференса, работа с AI-пайплайнами и LLM. — Уверенное владение SQL и опыт работы с реляционными базами данных PostgreSQL, MS SQL, а также с брокерами сообщений и потоковой обработкой (Apache Kafka или аналоги). — Понимание архитектуры данных: ETL/ELT, Data Lakes/Warehouses, работа с большими объёмами разнородных данных. — Будет плюсом опыт работы с облачными/on-premise решениями для Big Data (Spark, Airflow и аналоги), знание принципов UI/UX и дизайн-систем. — Опыт в домене ценообразования, рекомендательных систем или прогнозирования временных рядов — будет огромным плюсом. Условия: — Полная занятость, график 5/2. — Удалённый формат работы. Контакты для отклика: jobs@arcadia.spb.ru

The role involves acting as a Senior AI/Data Consultant on an industrial AI project aimed at optimizing inventory management and supply chains. The consultant will work with extensive and varied industrial datasets, combining data from multiple sources to uncover optimization possibilities and create data-driven solutions. Responsibilities include independently analyzing inventory, procurement, and supply chain data; integrating relevant internal and external data; designing an AI solution tailored to industrial needs; and delivering a functional AI prototype or Proof of Concept using real-world data. The position requires developing methods for processing and analyzing large heterogeneous datasets, applying AI, machine learning, and advanced analytics to enhance operational efficiency, and formulating optimization strategies for inventory levels, safety stock, procurement, shipping, and spare parts availability. The consultant must assess the feasibility and business impact of AI solutions, communicate findings and recommendations effectively to management and stakeholders, and document the technical approach and results. Candidates should have substantial experience in AI, machine learning, and data science, with proven ability to develop AI/ML prototypes using real data. They must understand complex industrial datasets, data integration, and AI-driven optimization, alongside knowledge of industrial processes, manufacturing, inventory management, and supply chain logistics. Experience with industrial or manufacturing clients, strong consulting skills, and the ability to translate technical insights into actionable business solutions are essential. The role demands strong analytical and problem-solving abilities, independence, and effective communication skills for diverse audiences.

Location: San Francisco; New York 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 As Manager (Player & Coach) of the Solution Architect team, you will lead and mentor a team of Solution Architects who will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. Applying both hands-on technical ownership and managerial leadership, you will guide your team through the processes of owning discovery calls, demos, technical scoping and driving POCs through to execution as well as designing, deploying, and managing high performance, low latency AI applications on Baseten’s platform. You will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production environments. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: - Forward Deployed Engineering on the frontier of AI https://www.baseten.co/blog/forward-deployed-engineering/ - The fastest, most accurate Whisper transcription https://www.baseten.co/blog/the-fastest-most-accurate-and-cost-efficient-whisper-transcription/ - Deploy production-ready model servers from Docker images https://www.baseten.co/blog/deploy-production-model-servers-from-docker-images/ - Deploy custom ComfyUI workflows as APIs https://www.baseten.co/blog/deploying-custom-comfyui-workflows-as-apis/ RESPONSIBILITIES Leadership - Lead, mentor, and grow a team of Solution Architects, providing guidance on technical direction, project execution, and professional development. - Set clear goals and ensure timely, high-quality delivery across multiple customer-facing projects involving LLM deployment and inference optimization. - Collaborate with leadership to align team priorities with company and customer goals, balancing short-term delivery, widely varying customer priorities, and long-term technical initiatives. - Player-coach – While much of this role will be leading the team, you will also be expected to be a key driver on strategic product initiatives and customer engagements. The best managers derive credibility from being able to be hands-on when needed. Team Management - Lead a team of Solution Architects who will: - Partner with sales on customer discovery calls (most often second calls, occasionally first calls for large accounts). - Lead demos and technical scoping to align on success criteria, architecture, and deployment approach. - Own benchmarking and repeatable deployments, including handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, VoiceAI, etc. - Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups. - Driving consistent “playbook” style deployments for common models and use cases. - Become a power user of different runtimes such as vLLM, SGLang, and TRT-LLM and all the common configurations and tradeoffs between them - Drive POC and project execution, including: - Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps. - Acting as the “ringleader” or project manager for POCs. - Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed. REQUIREMENTS - AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders. - 4+ years of professional Solution Architecture/Solutions Engineering experience, including 1+ year in a leadership or mentorship capacity. - Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements. - Technical depth to scope solutions, without needing to write production code. - Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows. NICE TO HAVE - Experience running or supporting benchmarks for ML inference deployments. - Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning). - Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering. - Professional Software engineering experience 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: Tokyo, Japan About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partner Account Manager for Japan, you will be responsible for building, managing, and scaling strategic partnerships with both System Integrators (SIs) and resellers to accelerate the adoption of our solutions in the Japanese enterprise market. You will work at the intersection of cutting-edge technology and Japan's unique business ecosystem, helping partners integrate our products into their solution portfolios and joint go-to-market strategies. As a Partner Account Manager, you will focus on growing reseller business in Japan and achieving quarterly revenue targets through new customers and upsells. The position involves direct collaboration with partners and internal teams to overcome obstacles and implement growth strategies. Responsibilities include designing partner recruitment, enablement, and go-to-market plans, using a test-and-learn approach in ambiguous situations. Strong business creation skills are needed to identify joint value propositions and explore co-selling models. While revenue contribution is the key metric, building scalable partner engagement and executing joint initiatives are crucial for consistent growth. This role is critical to establishing and expanding our presence in Japan through the partner ecosystem, enabling us to serve Japanese enterprises at scale. You will be instrumental in building our channel strategy from the ground up in one of the world's most sophisticated technology markets. Key responsibilities Strategic Partner Management Develop and execute comprehensive business plans with System Integrators (NTT Data, Fujitsu, NEC, Hitachi, etc.) and key resellers to drive mutual growth and revenue targets Build and maintain executive-level relationships within Japanese partner organizations, navigating complex organizational structures and decision-making processes Own the full partner lifecycle from initial engagement through long-term strategic alignment, including regular business reviews and QBRs Plan and deliver partner-facing activities, such as training sessions, email campaigns, webinars, and joint events Negotiate and structure partnership agreements including technical integration terms, resale agreements, and revenue-sharing models Business Development & Revenue Generation Build and maintain relationships with reseller and distributor partners to drive new customer acquisition and upsell revenue Collaborate with SI partners and resellers to identify, qualify, and close enterprise opportunities in key verticals (manufacturing, financial services, retail, telecommunications, life sciences) Drive joint sales activities including customer workshops, seminars, proof-of-concepts, and strategic account planning Track pipeline development, forecast revenue, and report on partnership performance metrics with detailed accuracy Manage channel conflict and ensure healthy ecosystem dynamics between direct sales, SI partners, and resellers Enablement & Solution Development Lead comprehensive enablement programs including technical training, certification development, and sales methodology alignment Work closely with partner practices to develop joint solutions and industry-specific offerings tailored to Japanese market requirements Coordinate with global product and engineering teams to ensure Japanese partner requirements and customer feedback influence our roadmap Develop and maintain Japanese-language sales tools, technical documentation, and partner portals Facilitate knowledge transfer between Anthropic and Japanese partner technical teams Go-to-Market Leadership Design and execute joint marketing campaigns Develop customer success stories and case studies that resonate with Japanese enterprise buyers Partner with internal teams to localize global GTM strategies for the Japanese market Represent the company at partner events, customer engagements, and industry conferences (CEATEC, Japan IT Week, etc.) Identify and remove bottlenecks proactively by working with internal teams including Marketing, Sales, and Legal Foster alignment across departments to ensure successful partner execution and performance Minimum qualifications Experience in channel management, strategic alliances, or business development within the Japanese technology market Proven track record managing relationships with Japanese System Integrators and/or technology resellers or similar Deep understanding of Japanese enterprise sales cycles, decision-making processes, and business etiquette Native or business-level Japanese and English language skills Strong understanding of the Japanese IT landscape including cloud adoption trends, digital transformation initiatives, and regulatory requirements Demonstrated ability to navigate complex partner ecosystems and manage channel conflict Preferred qualifications 7+ years of relevant experience Experience with enterprise software, cloud services, or AI/ML technologies in the Japanese market Exceptional relationship-building skills with ability to establish trust and credibility with executives Strong analytical skills with experience in business planning, forecasting, and performance measurement 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: Canada; United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker is building a Training practice to accelerate customer onboarding and adoption, and help them realize measurable value from Docker’s AI Governance products. As Senior Manager, Training you will own learning journey design, operations and outcomes. This is a founding role. You will start as an individual contributor, personally building the first learning paths and standing up the platform, and you will grow into leading a team as the Training function scales. This is a high-visibility role within our Professional Services organization and works directly with leadership in Professional Services, Technical Account Management and Onboarding Specialists. You’ll define how new customers learn to implement Docker in their first weeks and months, developing user and administrator self-led journeys and instructor-led workshops. You’ll prove Training impact with data tied to onboarding, implementation and adoption milestones, and the value customers realize. You will build on a modern learning stack anchored on Skilljar and Instruqt. You will make AI a core part of how customers are implemented, using agents to produce content, coach learners, and run learning operations. RESPONSIBILITIES - Own the training journey for customer implementation training, focused on admins, IT, security, DevOps teams and non-developer teams adopting Docker Sandboxes and AI governance products. - Own the learning technology stack built on Skilljar and Instruqt, including catalog and learning-path structure and authoring workflows - Build hands-on: author the first implementation paths, labs, and assessments, and configure and administer Skilljar and Instruqt. - Design the training practice to be AI-native using built in features from Skiljar and Instruqt and support from Professional Services engineers: agents draft courses, lab guides, and assessments from product docs, release notes, and engineering changes, and flag stale content, with an SME review gate for technical accuracy before anything is published. - Establish repeatable curriculum standards: implementation path templates, hands-on lab patterns, assessment and badging criteria, content review and refresh cycles and web-based customer journeys. - Partner with technical subject-matter experts within Professional Services to build content, and support them on authoring in Instruqt. - Use AI agents, vendors, contractors, and SMEs as leverage to scale output ahead of headcount. - Define team model: roles, sequencing, and the business case for first hires. - Ensure learner data practices meet Docker’s privacy, security, and vendor review standards, including PII minimization and DPA requirements for training platforms and any AI models that process learner data. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 10+ years in technical training, customer education, or enablement leadership at a SaaS/infrastructure company, including 5+ years leading programs or teams, with a record of building a function from the ground up. - Comfortable as a hands-on builder and sole practitioner, with the ability to hire and lead a team as the function grows. - Demonstrated ability to influence senior stakeholders and technical contributors and drive alignment without formal authority. - Hands-on experience with an enterprise LMS (Skilljar preferred) and learner journey design. - Experience building and running customer implementation, onboarding, or education programs, including instructional design, hands-on labs, and certification or badging. - Experience with AI/ML and agentic AI concepts, and the ability to build training for AI workloads in enterprise environments. - Proven record of measuring training impact, using implementation completion, adoption, and business metrics, including retention, expansion, and revenue contribution, to show ROI to executives. PREFERRED - Hands-on experience applying AI and LLM tools to content production, learner support, or learning operations, with clear human review and quality controls. - Experience building agent-based or MCP-integrated learning and documentation experiences, including AI lab coaching and automated assessment. - Experience managing vendors and platform engagements, including professional services partners and internal engineering dependencies. BONUS - Strong technical credibility in containerization, container and software supply chain security, and enterprise IT and identity environments, with the ability to evaluate content quality alongside engineers. - Experience linking customer education to implementation completion, retention, and time-to-value metrics in a customer success or CRM platform. - Experience unifying documentation and learning platforms into a single SSO-authenticated learner experience. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Onboard to Docker’s mission, values, and operating model. - Deeply familiarize yourself with our product portfolio, customers, and the current customer implementation journey, including provisioning, implementation engagements, and handoffs. - Build strong partnerships with Professional Services leaders, along with Skilljar, Instruqt, and vendor professional services contacts. - Plug into the team’s rhythm of business (standups, reviews, shadow customer implementation engagements). FIRST 90 DAYS You will be supported in the first 90 days by Professional Services SMEs, vendor professional services teams, and contractors. - Define the customer implementation training strategy, charter, and operating model, including audiences, intake and prioritization, and success metrics. - Launch a baseline analytics view of implementation milestone completion, badging, and adoption for executive reporting. - Ship the first priority implementation paths with hands-on labs, and establish a badging framework. - Pilot an AI-assisted content workflow with an SME review gate, and define the AI governance model for learner data and generated content. ONE-YEAR OUTLOOK - A proven, data-backed Training practice with first hire(s) in place or approved and a defined team roadmap. - AI agents handle the majority of content drafting, refresh detection, and reporting, so a lean practice can scale ahead of headcount, with an AI lab coach and personalized implementation paths live for customers. - Measurable improvement in implementation completion, on-time provisioning, and time-to-value, with training demonstrably linked to adoption, retention, expansion, and revenue contribution. - New product capabilities launch with implementation training and labs ready on day one, and continuous improvement is institutionalized through learner analytics and customer feedback. Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$179,149 - CA$255,927 base United States: $131,495 - $187,850 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: San Francisco; New York 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. PRODUCT AT BASETEN Baseten is building a new cloud for AI. Our ambition is to make inference, training, and agent execution part of one coherent platform, and to shape how the next generation of AI products gets built. Product decisions here reach from the economics of GPU infrastructure to the abstractions developers build on every day. We’re hiring builders and tastemakers with the ambition to help create that future. You should bring a strong point of view about what should exist, the taste to make complex technology feel simple, and the technical judgment to build it alongside engineers, researchers, and designers. You’ll work directly with customers and forward deployed teams, turn emerging capabilities into new possibilities for developers, and carry an idea from early conviction through to production and adoption. THE ROLE Make world-class AI inference feel effortless for developers. Building with AI models should be easy. Getting them into production, understanding their performance, and scaling them reliably is anything but. At Baseten, we're changing that. We're looking for a Product Manager to own the experience of building on Baseten, from discovering and evaluating models to deploying, optimizing, and operating them in production. You'll help shape some of our most important products, including Model APIs, Dedicated Inference, Model Evaluations, and our Model Library. You'll work closely with engineering, research, and GTM to turn breakthroughs in inference performance into products that developers love and businesses depend on. This is a high-impact role at the intersection of AI infrastructure, developer experience, and product strategy. RESPONSIBILITIES - Own product strategy and roadmap across Baseten's inference offerings, with a focus on developer adoption and business impact - Make it easier for developers to discover, evaluate, deploy, and manage AI models through our APIs, SDKs, CLI, and console - Work with inference engineers and researchers to turn technical advances into compelling customer-facing capabilities - Help determine which models, workloads, and customer needs we prioritize - Partner with GTM and leadership on pricing, packaging, launches, and commercialization - Spend time with developers and customers to understand what's working, what's frustrating, and what we should build next REQUIREMENTS - 10+ years building and shipping AI/ML products or platforms - A technical background in software engineering, ML engineering, research, or equivalent hands-on experience - Direct experience building or deploying models using technologies like PyTorch, TensorRT-LLM, vLLM, SGLang, NVIDIA Dynamo, or similar frameworks - Strong understanding of model serving, GPU economics, and the tradeoffs between quality, latency, throughput, and cost - Exceptional developer product instincts. You know how to make complex technology approachable without sacrificing power - A track record of leading cross-functional product initiatives and turning technical capabilities into measurable adoption or revenue growth NICE TO HAVE - Experience deploying models, building infrastructure products, building ML infrastructure, or designing tools used from both a terminal and a console - Past experience as a software developer WHAT SUCCESS LOOKS LIKE Developers choose Baseten for a clear, compelling inference experience, from discovering a model to operating it at scale. Model APIs and Dedicated Inference offer clear paths that fit different workloads. Developers can move from a model to a repeatable production workflow with less assistance. Evaluation, artifacts, and releases fit together, and the experience makes customers more confident shipping their next model change. Engineering advances reach customers through successful launches and sustained production use. 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; New York 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. PRODUCT AT BASETEN Baseten is building a new cloud for AI. Our ambition is to make inference, training, and agent execution part of one coherent platform, and to shape how the next generation of AI products gets built. Product decisions here reach from the economics of GPU infrastructure to the abstractions developers build on every day. We’re hiring builders and tastemakers with the ambition to help create that future. You should bring a strong point of view about what should exist, the taste to make complex technology feel simple, and the technical judgment to build it alongside engineers, researchers, and designers. You’ll work directly with customers and forward deployed teams, turn emerging capabilities into new possibilities for developers, and carry an idea from early conviction through to production and adoption. THE ROLE Help make training and fine-tuning AI models dramatically easier. Training a model is hard enough. Developers shouldn't have to spend their time wrestling with infrastructure, waiting for GPUs, or figuring out why a job failed. We're building a training platform that lets AI teams focus on improving their models instead of managing the systems underneath them. As Product Manager for Training Platform, you'll own the developer experience for running training jobs on Baseten, from environment setup and job submission to scheduling, debugging, checkpointing, and recovery. You'll work alongside engineers and researchers solving some of the hardest problems in distributed training, helping turn that complexity into a product developers can depend on. RESPONSIBILITIES - Own the product experience for training jobs, from setup and submission through execution, monitoring, and recovery - Make distributed training easier to use, with intuitive workflows for scheduling, GPU availability, logs, checkpoints, and debugging - Work closely with research and infrastructure teams to support different training workloads, including supervised fine-tuning and reinforcement learning - Help developers recover from failures, reproduce experiments, and spend less time waiting on infrastructure - Connect training with the rest of Baseten's platform, including Loops, model evaluation, and inference deployment - Work directly with customers to understand how they train and adapt models, then turn those insights into product improvements REQUIREMENTS - Experience building and shipping AI/ML products or developer platforms - A technical background in software engineering, ML engineering, research, or equivalent hands-on work - Direct experience working with teams that train, fine-tune, or adapt machine learning models - Strong understanding of distributed training concepts, including GPU memory, scheduling, data access, checkpointing, and fault recovery - Familiarity with the infrastructure needs of supervised fine-tuning and reinforcement learning - Strong product instincts for developer workflows and the ability to simplify technically complex systems - Experience partnering with researchers and engineers to take new capabilities from concept to production NICE TO HAVE - Hands-on experience running distributed training, building ML developer tools, or working with trainer and sampler systems for reinforcement learning. WHAT SUCCESS LOOKS LIKE AI teams can run more experiments, recover from failures faster, and spend more of their time improving models instead of managing compute. Baseten becomes a natural place to train, fine-tune, and deploy custom AI models. 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; New York 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. PRODUCT AT BASETEN Baseten is building a new cloud for AI. Our ambition is to make inference, training, and agent execution part of one coherent platform, and to shape how the next generation of AI products gets built. Product decisions here reach from the economics of GPU infrastructure to the abstractions developers build on every day. We’re hiring builders and tastemakers with the ambition to help create that future. You should bring a strong point of view about what should exist, the taste to make complex technology feel simple, and the technical judgment to build it alongside engineers, researchers, and designers. You’ll work directly with customers and forward deployed teams, turn emerging capabilities into new possibilities for developers, and carry an idea from early conviction through to production and adoption. THE ROLE Shape how AI infrastructure is priced, packaged, and sold. AI infrastructure is changing fast, and the way customers pay for it is evolving just as quickly. Tokens, GPUs, reserved capacity, training jobs, agent execution. Different workloads have different economics, and traditional cloud pricing models don't always fit. We're looking for a Product Manager to lead pricing and monetization across Baseten's platform. You'll help determine how we package our products, measure usage, price new capabilities, and make it easier for customers to understand and manage their spend. This is a rare opportunity to influence both how customers experience our platform and how the business grows. RESPONSIBILITIES - Own pricing and packaging strategy across inference, training, sandboxes, Grid, and future products. - Design pricing models for token-based inference, dedicated deployments, reserved capacity, and emerging AI workloads. - Work with engineering and finance to understand infrastructure costs, GPU utilization, margins, and usage patterns. - Build and test pricing strategies using customer research, quantitative analysis, and real-world usage data. - Shape the developer and enterprise purchasing experience, including credits, commitments, discounts, overages, and billing transparency. - Partner with sales, finance, and product teams to bring pricing changes to market and manage customer transitions. - Identify opportunities to improve adoption, revenue growth, and unit economics. REQUIREMENTS - 10+ years of experience in pricing, packaging, or monetization for cloud infrastructure, developer platforms, or complex usage-based products. - A track record of owning meaningful pricing decisions, from strategy and modeling through launch and adoption. - Experience with both self-serve and enterprise pricing, including commitments, consumption models, and commercial negotiations. - Strong analytical skills, including hands-on work with SQL, financial models, usage data, and customer cohorts. - A deep understanding of how pricing influences customer behavior, product adoption, and business economics. - The ability to work across product, engineering, finance, and GTM to turn complex pricing decisions into simple customer experiences. NICE TO HAVE - Experience pricing AI/ML infrastructure, GPU compute, model APIs, or other emerging developer platforms. - Familiarity with inference economics, including utilization, caching, retries, and serving costs. WHAT SUCCESS LOOKS LIKE Customers understand what they're paying for and can confidently grow their usage. Baseten has pricing models that make our products easy to adopt, support enterprise growth, and reflect the real economics of running AI at scale. 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; New York 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. PRODUCT AT BASETEN Baseten is building a new cloud for AI. Our ambition is to make inference, training, and agent execution part of one coherent platform, and to shape how the next generation of AI products gets built. Product decisions here reach from the economics of GPU infrastructure to the abstractions developers build on every day. We’re hiring builders and tastemakers with the ambition to help create that future. You should bring a strong point of view about what should exist, the taste to make complex technology feel simple, and the technical judgment to build it alongside engineers, researchers, and designers. You’ll work directly with customers and forward deployed teams, turn emerging capabilities into new possibilities for developers, and carry an idea from early conviction through to production and adoption. THE ROLE Make AI inference faster, smarter, and more efficient at scale. Making AI models faster and cheaper is one of the most important engineering challenges in the industry. But a faster runtime alone isn't enough. Customers need to understand what improved, whether it works for their models, and how to take advantage of it in production. We're looking for a deeply technical Product Manager to work alongside our inference engineers and researchers, turning advances in model serving and performance into capabilities customers can confidently adopt. You'll help bridge the gap between cutting-edge systems engineering and real-world production workloads. RESPONSIBILITIES - Work with inference engineering and research teams to bring new performance capabilities to customers. - Translate advances in batching, caching, quantization, speculative decoding, and serving architectures into useful product features. - Define benchmarks and evaluations that demonstrate meaningful improvements in latency, throughput, quality, and cost. - Understand customer workloads and help prioritize the optimizations that will have the greatest impact. - Make performance features easier to configure, evaluate, and adopt in production. - Help customers understand tradeoffs across hardware, model configurations, autoscaling, and routing. - Partner with engineering on release readiness, compatibility, and regression testing so customers can trust new capabilities. REQUIREMENTS - Experience building and shipping AI/ML products or infrastructure, particularly where performance, scalability, or production behavior mattered. - A technical background in software engineering, ML engineering, research, or equivalent hands-on experience. - Strong understanding of model serving architectures, GPU economics, and latency, throughput, quality, and cost tradeoffs. - Experience working closely with researchers or infrastructure engineers to bring technically complex capabilities into production. - A rigorous approach to benchmarking, experimentation, and performance measurement. - Strong product judgment and the ability to translate deep technical work into clear customer value. NICE TO HAVE - Hands-on experience with PyTorch, vLLM, TensorRT-LLM, SGLang, NVIDIA Dynamo, or similar technologies. - Experience with open-source inference projects, model optimization, or ML systems research. WHAT SUCCESS LOOKS LIKE Customers can take advantage of Baseten's latest inference optimizations without becoming experts in the underlying runtime. Performance improvements translate into measurable gains in speed, reliability, and cost for real production workloads. 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: Sydney, Australia 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 an Account Executive, you manage a territory that includes target-accounts and an existing book of business that has companies with 2501+ employees. Your primary focus is hunting new business opportunities, building sales pipeline, and driving growth within the Enterprise sector. You are also responsible for upselling into the existing account base, leveraging our Extended Access Management platform. This role is a hybrid opportunity based within Sydney. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. Expectations of this role This is a hybrid role. You will be expected to work from 1Password's office 3 days per week, with the flexibility to work from the office up to 5 days based on business needs. Note: All go-to market roles will have an in-person onboarding in Toronto. What we're looking for: - 6+ years of SaaS sales experience, preferably in security with a focus on Enterprise and/or Commercial accounts. Proven track record of meeting or exceeding sales quotas. - Demonstrated success in upselling & cross-selling to both new customers and across a book of business, and in uncovering customer pain points beyond what's initially shared. - Advanced skills in: - Prospecting, pipeline building, strategic account planning, value-based selling, and territory management, with meticulous operating rigor in pipeline management, forecasting, and pacing to target. - Business acumen, executive presence, relationship building, solution selling, negotiation, & presenting to C-Suite. - Value selling and delivering solutions to provide business outcomes to solve our customers biggest challenges. - Demonstrated ability to understand and articulate complex cybersecurity concepts, particularly in Identity and Access Management. - Resilient, self-motivated, and committed to achieving targets while thriving in a remote environment. - A proven team player, eager to collaborate and achieve shared goals rather than working in isolation. - Curious and coachable, with a proven ability to apply feedback, adapt, and continuously improve. - Proficient in Salesforce, with a consistent track record of accurately and comprehensively documenting all stages of the sales cycle, from initial contact through close and ongoing client management. - Experience with MEDDPPICC preferred. - Proficiency with Slack, Zoom, Linkedin Sales Navigator & Outreach preferred. - Ability to travel up to 50%+ as needed. What you can expect: - Own Your Territory: Manage and grow your designated territory, focusing on acquiring new Enterprise & Commercial clients and expanding existing accounts. Develop and execute strategic territory plans, prioritizing high-potential accounts and identifying white space opportunities for growth. - Manage Pipeline: Build and maintain a healthy sales pipeline through proactive prospecting, inbound leads, cold calling, and networking, utilizing MEDDPPICC. - Drive New Business Growth: Design and implement effective sales strategies to: - Navigate complex sales cycles with multiple stakeholders, often extending 6–12 months, and managing large ARR opportunities. - Consistently meet or exceed annual sales quotas. - Maintain a high level of outbound activity with a primary focus on in-person meetings. - Identify and engage key decision-makers within target accounts. - Qualify, develop and close new business opportunities within your territory. - Drive Organic Growth: Identify opportunities to upsell and cross-sell 1Password’s solutions within existing accounts, leveraging your understanding of our Extended Access Management platform. - Engage the Industry: Attend industry events, trade shows, and conferences to represent 1Password, build brand presence and build relationships with potential customers. - Stay Informed: Stay up to date on cybersecurity trends and developments, particularly in Identity and Access Management, to provide valuable insights to clients and position 1Password as an industry leader. - Collaborate Cross-Functionally: - Build collaborative relationships with internal teams (e.g. BDR, Solutions, Channels, Onboarding, Customer Success) to develop tailored solutions that meet client needs and drive satisfaction. - Engage in multi-threaded relationships with client organizations, building deep and broad engagement across technical, operational, and executive stakeholders to drive deal momentum and account health. - Collaborate with partners and channel teams, where applicable, to maximize reach and co-sell into enterprise accounts. - Focus on Solution Selling: - Implement selling strategies to align our solutions with client needs and objectives. - Demonstrate a deep understanding of client pain points and position our offerings as strategic solutions. - Present and Negotiate: - Confidently present to C-suite executives, articulating the value proposition of our products and services. - Create mutual action plans to align the sales team and prospects on responsibilities, steps and timelines for closing deals. - Utilize effective negotiation skills to drive mutually beneficial outcomes. USA-based roles only: The annual base salary for this role is between $149,000 USD and $216,000 USD, and is commission-eligible. This role is also 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. 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. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. 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: Sydney, Australia Workplace: Hybrid 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 Senior Solutions Engineer, you’ll act as a strategic technical advisor and trusted partner to our Commercial & Enterprise sales team and customers. You’ll elevate sales efficiency and customer engagement by delivering deep technical expertise, tailored demos, and customer-specific insights throughout the sales cycle. Working closely with the Account Executive, you’ll craft solutions that align 1Password’s capabilities with customer challenges and goals, navigating complex requirements, influencing technical stakeholders, and clearly articulating value from discovery to close. Experience with frameworks like MEDDPICC is a strong plus, as you’ll help qualify opportunities, define technical success criteria, and drive alignment within deals. This role requires agility and foresight, identifying opportunities, positioning our product suite, and ensuring proposed solutions meet technical needs. You’ll also collaborate cross-functionally with Product, Marketing, Sales Enablement, and Support to strengthen customer-facing resources. As a senior team member, you’ll mentor peers, sharing knowledge to uplevel both technical expertise and soft skills across the Solutions Engineering team. This role is a remote hybrid opportunity based within Sydney. How we’re using AI today Across GTM, we’re transforming the way we work with AI. We expect every seller, CSM, and team member to become a power user, using it daily to work smarter and move faster. AI is already embedded in how we operate – from real-time coaching that sharpens how we sell and interact with customers, to surfacing insights that help us anticipate needs – creating more time for meaningful customer engagement. If you’re excited to reshape how you think, make decisions, and drive growth with AI, you’ll feel right at home here. What we're looking for: - 6+ years of experience in customer-facing technical sales roles within a B2B environment. - Proven track record of selling into Global 1000 customers. - Experience in a multi-product SaaS environment. - Proven track record in enterprise sales, with the ability to build relationships, influence stakeholders, and support closing complex deals. - Skilled at translating technical concepts for both technical and non-technical audiences. - Strong presentation, communication, and collaboration skills across sales, product, marketing, and support teams. - Ability to quickly learn, adapt, and navigate dynamic customer conversations and requirements. - Experienced with modern sales methodologies such as MEDDPICC for opportunity qualification and deal progression. - High degree of autonomy with the ability to manage multiple projects, maintain quality, and meet deadlines. - Willingness to mentor colleagues and share best practices to support team growth. - Ability to travel up to 25%. - Familiarity with SaaS, security concepts, and developer technologies such as SCIM, CLI, SAML/SSO/OAuth, AD, API, SSH and AI (MCP). What you can expect: - Serve as the primary technical advisor/resource within 1Password’s Go-to-Market team. - Proactively scope and recommend tailored technical solutions and support that address both expressed and unspoken customer needs—aligning with use cases, business goals, and decision criteria for a variety of Enterprise customers including those on the higher end of the segment. - Build strong relationships & deliver technical coaching to Account Executives, Partner Sellers and Sales Engineers, empowering them to speak confidently about product capabilities and align messaging with customer challenges, use cases, and requirements. - Provide technical education to customers and partners regarding the 1Password suite of products. USA-based roles only: The annual base salary for this role is between $124,000 USD and $180,000 USD, and is commission-eligible. This role is also 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 $127,000 CAD and $184,000 CAD, and is commission-eligible. This role is also eligible for 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. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. 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: Intellias Meet your recruiter Stephen Palmer stephen.palmer@intellias.com https://www.linkedin.com... Vacancy details Management Manager Director Bulgaria, Croatia, Poland, Portugal, Spain, United Kingdom Remote APPLY NOW REFER A FRIEND Over 20 years of market experience, Intellias brings together technologists, creators and innovators in Europe, North and Latin America, and the Middle East. Join our international team and take the mission to solve the advanced tech challenges of tomorrow! What project we have for you We are building a market-leading AI Solutions practice and are looking for a senior leader to anchor it across Europe. This is a hands-on leadership role at the intersection of technical depth, client advisory, and commercial growth. You will work with business segments and co-own AI outcomes end to end — from shaping opportunities and advising client executives, through architecting and delivering production-grade solutions, to building the team and offerings that let us scale. This is not a pure management role and not a pure architect role. The right person can sit with a client CTO in the morning to frame a transformation roadmap, dive into a model architecture or agent design review in the afternoon, and shape the next quarter’s offering and pipeline in between. You will be a founding pillar of how we take AI from pilot to production at enterprise scale. What you will do Client Advisory & Pre-Sales Act as the senior AI advisor and trusted partner to enterprise clients, translating business problems into pragmatic, value-driven AI strategies and roadmaps. Lead pre-sales and solutioning: shape opportunities, scope and estimate engagements, run discovery and design workshops, and present to senior and C-level stakeholders. Drive proposal and RFP responses, solution narratives, and commercial framing that differentiate us in competitive situations. Identify and grow account opportunities, partnering with business development to convert advisory engagements into delivery programs. Offering & Practice Development Define and productize repeatable AI offerings, accelerators, and reusable assets that shorten time-to-value and improve delivery margins. Establish reference architectures, delivery playbooks, and engineering standards for ML, GenAI, and agentic solutions. Contribute to AI practice strategy and external thought leadership (points of view, frameworks, speaking, content). Delivery Leadership Support end-to-end delivery of AI programs — from PoC and pilot through to hardened production — ensuring solutions actually ship and operate, not just demonstrate. Drive production readiness across the lifecycle: MLOps/LLMOps, evaluation, monitoring, cost management, security, and AI governance. Manage program economics, scope, risk, quality, and stakeholder alignment across distributed delivery teams. Technical Leadership Provide hands-on technical direction across machine learning, deep learning, and GenAI/agentic systems, with the credibility to lead architecture and design reviews. Make and defend platform and architecture decisions across hyperscaler and data ecosystems (AWS, Azure, GCP, Databricks, Salesforce etc.). Set technical standards and uphold engineering quality, mentoring senior technical staff. Team Building & Leadership Recruit, build, and grow a high-performing AI delivery organization in Europe across data science, ML/AI engineering, and solution architecture. Manage, coach, and develop senior practitioners; foster a culture of capability growth, certification, and continuous learning. Operate effectively within a collaborative leadership model alongside business development and technology peers. What you need for this 12+ years in technology, data, or engineering, with strong hands-on background in AI / ML / data science, including genuine hands-on practice (not solely oversight). Demonstrable hands-on expertise in machine learning and deep learning— model development and experimentation with frameworks such as PyTorch or TensorFlow, and a working command of modern ML/DL techniques. Proven track record delivering AI/ML solutions into production at enterprise scale — you have shipped systems that operate reliably in the real world. Production experience on at least one major hyperscaler or data platform(AWS, Azure, GCP, or Databricks); multi-platform fluency is a strong advantage. Hands-on production experience with GenAI and agentic systems — LLMs, RAG, orchestration and agent frameworks, tool/function calling, and evaluation of non-deterministic systems. Experience leading both internally and externally — line-managing internal teams and owning external client programs as a delivery lead, engagement lead, or equivalent accountable role. Executive-grade client presence — able to advise, influence, and build credibility with senior business and technology stakeholders. Nice to Have: Prior consulting or IT/professional-services experience — pre-sales, offering development, and accountability for running AI projects and programs (including revenue or margin contribution). Experience building or scaling an AI / data practice or capability from an early stage. Deep domain expertise in one or more priority verticals — e.g., retail, automotive & mobility, financial services, healthcare / medtech & life sciences, or telecom — sufficient to speak the client’s language and frame value, not just technology. Familiarity with EU AI Act, GDPR, and responsible-AI / governance frameworks as applied to enterprise deployments. Relevant certifications (AWS / Azure / GCP ML or AI, Databricks). Advanced degree (MSc or PhD) in Computer Science, Data Science, Machine Learning, Engineering, or a related field. Experience operating within nearshore / distributed delivery models. Additional European languages. What Success Looks Like (First 6–12 Months) Established credibility with key clients and internal stakeholders as the go-to senior AI leader for one or more business segments. Shaped and helped win AI engagements, with a measurable contribution to pipeline and bookings. Stood up or sharpened a set of productized AI offerings and accelerators that the team can sell and deliver repeatably. Promoted delivery and engineering standards and begun building a growing, high-quality AI team with measurable impact Delivered (or put firmly on track) at least one flagship AI program running in client production. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Москва Cбер продолжает реализовывать масштабный проект по созданию технологической HR-платформы нового поколения (PaaS/SaaS). Наша цель — разработка и развитие платформы на базе искусственного интеллекта, которая станет ядром для всех внутренних и внешних агентов. Мы уходим от разрозненных команд к единой структуре, которая будет отвечать за весь жизненный цикл AI-решений: от низкоуровневой архитектуры ядра до инструментов, которыми пользуются разработчики агентов. **Ключевые цифры:** * **Команда:** 3 IT-команды (разработка ядра, инструменты, интеграции) + бизнес-аналитика. Общая численность (IT + бизнес) — около 30–35 человек. * **Стек:** LLM, AI/ML, распределенные системы, микросервисная архитектура, высоконагруженные платформы. Первый этап отбора на эту вакансию - общение с AI-рекрутером. После отклика вам на почту и в чат на платформе HeadHunter придет приглашение пройти первичное интервью с ГигаРекрутером в Telegram или Макс. Диалог займёт примерно 10 минут. Его задача - уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. Обязанности * технологическое лидерство: архитектурное развитие HR платформы агентов в ней. Принятие решений по выбору LLM-технологий * управление командами: Руководство тремя кросс-функциональными IT-командами (backend, ML, QA, инженеры данных). В команде присутствуют разработчики, тестировщики и ML-инженеры, но с общим фокусом на AI/LLM-решения * развитие процессов: выстраивание полного цикла разработки (SDLC) с нуля: от онбординга и performance review до процессов поставки в высоконагруженную enterprise-среду * кросс-командное взаимодействие: выстраивание архитектуры взаимодействия со смежными блоками (продуктовые команды, безопасность, инфраструктура) * экспертиза: глубокое техническое ревью сложных участков кода и архитектурных решений. Обеспечение технологического качества платформы. * масштабирование: подготовка инфраструктуры и процессов к кратному росту нагрузки и количества агентов. Требования * опыт коммерческой разработки AI-агентных платформ (критично) * опыт управления IT-командами * глубокая техническая экспертиза в области LLM, машинного обучения и построения высоконагруженных распределенных систем * опыт работы в энтерпрайз-сегменте: понимание требований к безопасности, надежности и интеграции с legacy-системами * навык выстраивания коммуникаций со сложным стейкхолдером (подтвержденный опыт работы с требовательными бизнес-заказчиками и смежными IT-блоками) * опыт проведения технических интервью и развития экспертизы сотрудников в новой для рынка предметной области (AI). Условия • современный комфортный офис на м.Кутузовская • гибридный график работы (на период адаптации будет офисный формат, далее 1-2 дня удаленно в неделю) • ежегодный пересмотр зарплаты и годовая премия • уникальная система обучения и повышения квалификации от Сбера • расширенная медицинская страховка, льготы для семьи и корпоративная пенсия • скидки на товары наших партнёров • возможность рекомендовать знакомых в нашу команду.

Location: Amsterdam, Netherlands 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 Nebius is looking for a Corporate Operational Project Manager to join Corporate Operations within the COO Office at our Amsterdam headquarters. The role focuses on our company-wide Data Center (DC) Readiness program, coordinating the corporate activities needed to launch new sites across countries and operating models. Working closely with Business Finance, Infrastructure and corporate functions, you will translate requirements into clear plans with defined owners, timelines and deliverables, with a primary focus on post-signing execution and launch readiness. This is a hands-on role combining project delivery, process design and operational follow-through. You will help build a shared readiness process across the DC development lifecycle, connect early assessments with implementation, and bring structure to work across teams. An inquisitive, organized approach and clear communication are essential as plans, requirements and priorities evolve. You’re welcome to work in our offices in Amsterdam. Your responsibilities will include: Project planning and delivery: Build and maintain per-DC readiness plans and checklists, with owners, milestones, dependencies and deliverables. Coordinate follow-up, identify blockers early and escalate timing or decision conflicts with clear options. Cross-functional coordination: Work with Infrastructure, Business Finance, Legal, Tax, Accounting, Treasury, Risk, HR, Procurement and other relevant teams to clarify requirements and coordinate execution. Define what each team needs, from whom and by when, and ensure handoffs support the next activity. Process design and improvement: Map existing workflows and build scalable readiness processes for different countries and DC operating models. Define triggers, responsibilities and checkpoints, incorporate existing functional processes, and turn lessons from live cases into improvements. Tracking and reporting: Maintain an integrated view of readiness, risks, decisions and open actions across DC projects. Consolidate information from functional sources, resolve gaps or conflicting dates, and prepare clear updates for stakeholders and leadership. Controls and governance support: Track applicable corporate requirements and conditions, confirm completion with functional owners, and maintain supporting records. Establish review and escalation routines while keeping professional assessments and approvals with the relevant functions. Tools and implementation: Configure and maintain project trackers and shared documentation, support adoption of the agreed process, and keep plans aligned when site facts, scope or dates change. Identify opportunities to simplify reporting and automate routine follow-up. We expect you to have: 7-10 years of experience in project management, project coordination or operations, with hands-on responsibility for delivering cross-functional projects. Experience working with multiple functions and stakeholders, ideally across countries or time zones. A structured and organized approach, with the ability to turn complex requirements into actionable plans and manage several workstreams, dependencies and deadlines. The ability to adapt plans when circumstances change, communicate the impact clearly and drive open actions through to completion. Clear documentation and reporting skills, including maintaining plans, process flows, records and project updates. An inquisitive approach and the ability to learn unfamiliar business and operational topics, ask thoughtful questions, and clarify requirements and ownership. Familiarity with project management tools and shared documentation systems. Strong communication skills in English. It will be an added bonus if you have: Experience designing and implementing cross-functional processes, governance routines or operational controls. Experience coordinating requirements across Legal, Finance, Compliance, Procurement or Infrastructure teams. Experience in a global, fast-growing organization or a program involving multiple sites or countries. Exposure to data centers, technology infrastructure, international expansion or operational setup in new markets. Familiarity with tools such as Asana, Jira, Confluence, SharePoint or similar project and workflow platforms. 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.

• Lead the definition and evolution of the enterprise data platform strategy by developing, maintaining, and continuously evolving architecture standards, reference architectures, and design patterns aligned with business priorities, analytical requirements, and AI/ML enablement across data and ETL/ELT platforms.

Location: New York ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Site Reliability Engineer (SRE) on the Cloud Platform team, you will shape the reliability, scalability, and performance of our Cloud platform and customer-facing applications. You’ll work closely with software engineers and product teams to ensure our systems meet and exceed the expectations of both internal and external customers. This role is critical in maintaining the stability and efficiency of our infrastructure, enabling seamless experiences for users and developers. Your expertise will directly impact the robustness of our AI platform, ensuring it operates at scale with minimal downtime. WHAT YOU WILL DO - Design, build, and maintain scalable, highly available, and fault-tolerant infrastructures to support our Cloud platform. - Operate systems and troubleshoot issues in production environments, including interrupts, on-call responses, and infrastructure scaling. - Implement and improve monitoring, alerting, and incident response systems to minimize downtime and optimize performance. - Develop and maintain workflows and tools for CI/CD, containerization, orchestration, monitoring, and logging. - Participate in on-call rotations to respond to incidents and perform root cause analysis to prevent recurrence. - Drive continuous improvement in infrastructure automation, deployment, and orchestration. - Collaborate with software engineers to enable safe and reproducible model-training experiments. - Build and enhance a cloud platform that abstracts infrastructure complexities for science and engineering teams. - Design and develop new workflows, tooling, and automation to improve system reliability, availability, and performance. - Ensure infrastructure adheres to security best practices and compliance requirements in collaboration with the security team. - Document processes and procedures to ensure consistency and knowledge sharing across the team. WHAT WE'RE LOOKING FOR - A Master’s degree in Computer Science, Engineering, or a related field. - 5+ years of experience in a DevOps or SRE role, ideally with expertise in bare metal infrastructure and distributed systems. - Hands-on experience with site reliability issues, including root cause analysis, in-production troubleshooting, and on-call rotations. - Proficiency in working with reliability KPIs, such as observability, alerting, and SLAs. - Experience with CI/CD, containerization, and orchestration tools like Docker and Kubernetes. - Knowledge of monitoring, logging, alerting, and observability tools such as Prometheus, Grafana, ELK Stack, or Datadog. - Familiarity with infrastructure-as-code tools like Terraform or CloudFormation. - Proficiency in scripting languages (Python, Go, Bash) and a strong understanding of software development best practices. - Solid grasp of networking, security, and system administration concepts. - Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative environment. - Experience in an AI/ML environment, high-performance computing (HPC) systems, or modern AI-oriented solutions (e.g., Fluidstack, Coreweave, Vast) is a plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Intellias Meet your recruiter Olha Huk olha.huk@intellias.com https://www.linkedin.com... Vacancy details AI/ML Engineering GenAI Engineer Senior Romania Hybrid APPLY NOW REFER A FRIEND Intellias helps retailers deliver consistent, omnichannel experiences through technology. Join us to develop scalable solutions that drive performance and customer value What project we have for you We are looking for a hands-on Senior AI Engineer to lead the technical design and delivery of enterprise AI agents and MCP-based integrations. The team will develop Model Context Protocol (MCP) services for local business applications and build AI agents that consume both these local MCPs and MCP services provided by a global platform team. The Senior AI Engineer will own solution design, support use-case discovery, provide technical leadership to the engineering team, and participate directly in implementation. What you will do Lead technical discovery and translate business use cases into AI/agentic solution designs. Design the architecture of AI agents and their interaction with local and global MCP services. Design and develop MCP services exposing capabilities of local applications to AI agents. Build enterprise AI agents and agentic workflows. Integrate agents with multiple MCP servers, APIs and enterprise systems. Define agent instructions, reasoning flows, tool-selection logic, approval workflows and human-in-the-loop guardrails. Define reusable patterns and engineering standards for MCP and agent development. Lead and support other AI engineers during implementation. Ensure compliance with enterprise security, architecture and AI governance requirements. Define and monitor agent quality and performance metrics, including task completion, tool failures, hallucinations, latency and cost. Collaborate with global AI/platform teams to ensure interoperability between local and global MCP capabilities. What you need for this Required skills Strong hands-on Python engineering experience. Experience building LLM-based applications, AI agents or agentic workflows . Strong knowledge of REST APIs and enterprise integrations. Strong Microsoft Azure experience. Experience with authentication/authorization such as OAuth 2.0 and Microsoft Entra ID. Understanding of tool/function calling and agent-to-system integration patterns. SQL, JSON, Git and CI/CD. Ability to design production-grade solutions and provide technical leadership. Strong English communication skills. Strong advantage Hands-on Model Context Protocol (MCP) experience. Azure AI Foundry / Azure OpenAI. Copilot Studio. Power Automate. Agent orchestration frameworks such as Semantic Kernel, LangGraph or similar. Azure Functions / API Management / Logic Apps. Experience with enterprise AI governance, evaluation and observability. What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

Location: Hyderabad, India; Singapore 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 The Financial Controller is responsible for owning the month-end close, ensuring financial accuracy, and managing statutory and tax compliance for assigned entities across the APJ region. The role requires strong analytical skills, ownership, and close collaboration with internal teams and external accounting and tax service providers. The candidate should have experience working across APAC jurisdictions and a strong understanding of the region’s accounting, statutory reporting, and tax compliance requirements. Your responsibilities will include: Own and execute the month-end close, ensuring accurate and complete financial data. Analyze variances, explain key movements, and monitor financial trends. Support complex and non-routine transactions, assessing their impact on local financials and coordinating with Tax and Legal teams. Coordinate local accounting, statutory reporting, and tax compliance activities with external service providers, including GST/VAT, corporate income tax, regulatory and statistical filings, financial statements, and local audits. Review deliverables prepared by external service providers for accuracy, completeness, and consistency with group accounting records. Maintain a clear compliance calendar and ensure timely completion of required filings. Post and document statutory and tax adjustments in the ERP system. Ensure accuracy and consistency of financial data across systems, including NetSuite and local reporting tools. Coordinate with Tax, Legal, and external consultants to ensure timely and accurate submissions. Coordinate with local and group external auditors during audits and reviews. Ensure compliance with internal controls, including SOX controls, and maintain proper documentation. Identify and implement process improvements and automation opportunities. We expect you to have: 8 + years of experience in general accounting or financial reporting. Experience in multinational or multi-entity environments covering APAC jurisdictions. Experience in a Big Four firm is a plus. Strong knowledge of IFRS, US GAAP and relevant local GAAP. Strong understanding of local accounting, statutory reporting, and tax compliance processes across APAC jurisdictions. Experience coordinating external accounting and tax service providers and reviewing their deliverables. Experience with ERP systems; NetSuite is a plus. Advanced Excel skills and a strong analytical mindset. Proficiency in English is required. Competencies: Strong ownership and attention to detail. Analytical and problem-solving skills. Ability to manage deadlines and multiple priorities. Resilience and ability to work under pressure. Effective communication and stakeholder management. Continuous improvement mindset. 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.