Вакансии

Location: California, USA SingleStore is looking for an accomplished sales professional to join our Sales Team. AI is moving from experimentation into production, and this role is an opportunity to break into AI while doing meaningful enterprise selling. As an Account Executive, AI Hunter, your job is simple: create new SingleStore customers. You will find companies building AI applications where data access, real-time context, memory, retrieval, or operational scale is becoming a constraint—and turn those challenges into new SingleStore customers. You will own a broad territory, build a majority self-sourced pipeline, create demand in an emerging category, and close greenfield enterprise opportunities. This is a true hunting role. You will engage customers before they have a defined project, develop customer-specific points of view, create urgency around business and technical problems, work with technical experts to land first production workloads, and build a measurable new-logo business with broad ownership. The ideal candidate is a measurable enterprise hunter who is competitive, curious, technically credible, resilient, and able to sell business outcomes. Direct AI sales experience is valuable, but proven selling ability and technical curiosity matter more than a narrow “AI seller” title. Role and Responsibilities Build and execute a territory strategy for net-new customer acquisition. Prospect fearlessly across a broad account universe using proactive, persistent outbound, account-based, partner, and market-education motions; stay resilient and effective through rejection and ambiguity. Form account hypotheses, map the buying center, and earn first meetings with relevant points of view tailored to the customer. Engage executive, business, technical, security, and procurement stakeholders. Lead great business-first discovery, connect AI and data challenges to fundable goals, and build quantified ROI, TCO, or operational-impact cases. Build and develop champions, multi-thread the buying group, earn executive and economic-buyer access, and maintain stakeholder alignment; own the stakeholder plan, mutual action plan, close plan, value case, stage gates, forecast, and commercial outcome. Lead complex sales cycles through technical validation, security, legal, procurement, negotiation, and close. Partner with Solutions and Forward Deployment Engineers and cross-functional teams to validate technical fit and establish the first production workload. Navigate competitive displacement and maintain disciplined activity management, CRM hygiene, reporting, qualification, forecasting, and opportunity management; showcase clear metrics such as pipeline created, meetings, conversion, quota attainment, and new-logo performance. Be AI fluent: use AI and research tools productively and responsibly while applying judgment, validating outputs, and separating facts from hypotheses. Travel within the assigned territory as required. Required Skills and Experience 5+ years of quota-carrying B2B enterprise software sales experience, ideally selling to large or technically sophisticated organizations; experience in data, cloud, analytics, AI, or adjacent technical domains is a plus. Repeated, quantified quota success with clear ownership of new-logo wins and self-sourced pipeline. Experience closing complex, multi-stakeholder deals involving executives, technical evaluators, security, legal, finance, procurement, and partners. Ability to sell measurable business outcomes and build ROI, TCO, or operational-impact cases. Technical fluency in an adjacent domain such as databases, data infrastructure, analytics, AI/ML, cloud, Kubernetes, developer tools, cybersecurity, observability, or open-source software. Strong qualification, account planning, forecasting, CRM, negotiation, and deal-management skills. Learning velocity and coachability, demonstrated through specific behavior change after feedback; ability to explain technical concepts clearly to technical and executive audiences. Executive presence, customer trust, resilience, intellectual honesty, and excellent communication skills. B.A., B.S. degree or equivalent in a related field. Experience with Fortune 500 or security-sensitive organizations, cloud ecosystems, open-source or consumption-based products, or emerging categories is preferred. (SLS00335)Remote-US To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company. SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses. SingleStore’s base salary range for this role is $90,000 to $150,000 with annual target earnings of $180,000 to $300,000 at quota with significant accelerators for overperformance. For candidates residing in California, please see our California Recruitment Privacy Notice . For candidates residing in the EEA, UK, and Switzerland, please see our EEA, UK, and Swiss Recruitment Privacy Notice.

Location: Ireland; United Kingdom Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ABOUT CLICKUP ClickUp is the everything app for work, built to help teams plan, collaborate, and execute in one place. Our customers rely on ClickUp to simplify complexity, move faster, and build better operating systems for work across teams. THE ROLE We’re hiring a Senior Technical Account Manager, Strategic Services to partner with strategic customers as they implement, expand, and mature their use of ClickUp. This role sits within Professional Services and is ideal for someone who can blend customer leadership, workflow design, technical problem solving, and practical change management.   You’ll help customers move from fragmented processes to scalable ways of working in ClickUp. That means leading complex implementations, guiding adoption across multiple stakeholder groups, identifying opportunities for automation and AI, and helping customers realize measurable business value from the platform. WHAT YOU’LL DO LEAD STRATEGIC IMPLEMENTATIONS AND CUSTOMER TRANSFORMATIONS - Own complex customer engagements from discovery through rollout, enablement, and ongoing optimization. - Diagnose current-state workflows, identify friction points, and design scalable future-state solutions in ClickUp. - Guide customers through governance, architecture, process design, and rollout planning across multiple teams or business units. - Help customers recover momentum when implementations stall, priorities shift, or stakeholder alignment breaks down. DRIVE ADOPTION, VALUE REALIZATION, AND ACCOUNT HEALTH - Partner closely with customer stakeholders to define success measures, adoption milestones, and practical next steps. - Translate customer goals into clear execution plans that improve adoption, stakeholder engagement, and long-term platform value. - Use usage signals, customer feedback, and business context to identify risks early and build recovery or acceleration plans. - Support strategic business reviews and customer conversations with a clear point of view on progress, opportunities, and priorities. DESIGN SCALABLE SOLUTIONS, AUTOMATION, AND AI USE CASES - Turn complex business needs into thoughtful ClickUp solutions using workflows, structure, automations, reporting, and process best practices. - Recommend when to standardize, when to keep flexibility, and how to balance technical ambition with customer readiness. - Identify practical automation and AI opportunities that improve customer outcomes instead of creating unnecessary complexity. - Help customers operationalize new ways of working by pairing solution design with enablement, change management, and adoption support. PARTNER ACROSS TEAMS TO SOLVE COMPLEX CUSTOMER PROBLEMS - Act as a trusted advisor to customer admins, operators, and executive stakeholders. - Coordinate effectively with Customer Success, Sales, Product, Support, and other internal partners to keep customer work moving. - Escalate thoughtfully, communicate clearly, and maintain ownership even when multiple teams are involved. - Bring customer feedback and recurring pain points back to internal teams to improve product usage, delivery patterns, and customer outcomes. WHAT WE’RE LOOKING FOR REQUIRED QUALIFICATIONS - Experience in a customer-facing post-sale role such as Technical Account Management, Professional Services, Solutions Consulting, Implementation Consulting, or a closely related function. - Proven success leading complex SaaS implementations, customer transformations, or strategic enablement programs with multiple stakeholders. - Strong workflow and process design instincts, including the ability to translate ambiguous business needs into scalable solutions. - Excellent customer communication skills, including confidence with both hands-on operators and executive stakeholders. - Strong judgment in ambiguous environments, with the ability to prioritize, simplify complexity, and keep momentum through change. - A clear ownership mindset and track record of driving outcomes rather than operating reactively. PREFERRED QUALIFICATIONS - Experience with work management, workflow automation, collaboration, CRM, ITSM, or adjacent SaaS platforms. - Comfort recommending or deploying automation, reporting, and AI-enabled workflow improvements. - Experience managing strategic or enterprise customer relationships where adoption, governance, and value realization mattered as much as configuration. - Exposure to change management, customer enablement, or consulting-style discovery and solutioning. - Ability to influence cross-functional teams without direct authority. LOCATION - This role is approved for hiring in Ireland. - Please confirm any remote, hybrid, travel, or time-zone expectations during the hiring process. WHY THIS ROLE IS COMPELLING This is a high-impact opportunity for someone who enjoys combining customer strategy, technical solutioning, and execution. You’ll help strategic customers transform how they work, while shaping scalable delivery patterns inside a fast-moving environment where adoption, workflow design, automation, and AI all matter. #LI-SO1 #LI-remote Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

i-Line — мобильное приложение, которое решает проблему ожидания в очередях на автомойках. Сервис предоставляет «живую очередь»: выбор мойки на карте, бронирование места, онлайн-оплату и отслеживание статуса. Для автомоек доступны CRM, аналитика и расчёт зарплаты мойщиков. Проект собран и сейчас на стадии багфикса и подготовки к запуску. Задачи: — Провести аудит существующего Django backend. — Найти и исправить баги, с фокусом на модули CRM и «Мойщики». — Проверить и корректировать алгоритм расчёта очереди. — Интегрировать и финально настроить взаимодействие backend ↔ Flutter. — Подключить платёжную систему Freedom Pay. — Тестирование, подготовка к production, деплой и дальнейшая техподдержка (12 месяцев). Требования: — Middle Python/Django разработчик. — 3,5+ года коммерческого опыта. — Уверенные знания Django и Django REST Framework. — Опыт с PostgreSQL. — Умение разбираться в существующем коде и самостоятельно находить/исправлять причины багов. — Готовность уделять проекту 25+ часов в неделю в ближайшие 2 месяца. Будет плюсом: — Понимание deployment, Linux, Docker. Условия: — Удалённо, гибкий график. — Оформление по договору оказания услуг. — Срок основной доработки MVP — 3 месяца; далее техническая поддержка 12 месяцев. — Фантомный опцион: 2% от денежного оборота проекта до достижения совокупной выплаты $30 000 (ориентировочный срок погашения — 2 года с момента запуска).

Location: Ireland, Dublin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Integration Engineer Job Description We are seeking an experienced Integration Engineer to join our enterprise integration engineering team at PlayStation. We are responsible for delivering reusable, scalable, and loosely coupled integrations that simplify and automate business processes, improving user experience and data quality across the enterprise. As an Integration Engineer, you will design, develop, maintain and support integration solutions using MuleSoft and SnapLogic platforms. You will work across a wide range of integration use cases, applying modern integration patterns and best practices to connect systems across SaaS platforms, AWS-hosted COTS applications, cloud-native services, and bespoke on-premise systems. Working closely with global engineering and business teams across multiple time zones with a high degree of ownership and limited supervision. You will have strong and demonstrable experience of industry-standard integration design patterns and approaches, including implementing API-based real-time integrations, event-driven and pub-sub architectures, asynchronous request-response, and batch/data integrations patterns across multiple integration platforms. What you'll be doing: Integration Architecture & Design Produce and maintain high-quality integration designs (HLDs and LLDs) addressing both functional and non-functional requirements. Select and apply appropriate integration patterns (real-time, event-driven, pub-sub, asynchronous, batch) based on business and technical requirements. Ensure the designs are clearly documented, socialised with the relevant stakeholders, and capture the rationale for integration design decisions. Define API specification and integration contracts, implementing a scalable, secure, and reusable integration solution aligned to enterprise standards (e.g. security) Identify risks, issues, and constraints, and communicate them timely and effectively to the stakeholders. Actively contribute to the integration teams best practices and design patterns maturing the teams design and delivery processes. Integration Development Participate in Agile/Scrum delivery activities including sprint planning, estimation, and implementation. Develop, test, deploy, and support integration solutions using MuleSoft and SnapLogic, following established SDLC and DevOps practices Implement integrations across enterprise environments, including SaaS platforms, AWS-hosted applications, cloud-native services, and on-premise/bespoke systems Implement CI/CD pipelines, automated testing (e.g. MUnit or equivalent), and release management processes. Ensure integrations are secure, scalable, resilient, and observable, including logging, monitoring, error handling, and performance optimisation Leverage AWS-native messaging and eventing services (e.g. SQS and SNS) to support decoupled and event-driven integration architectures Collaborate with product managers, architects, and engineering managers and teams to deliver end-to-end integration solutions Work with core capabilities of integration platforms, including API management, gateway policies, runtime and deployment environments, data transformation, connectors/adapters, and orchestration/pipeline frameworks across MuleSoft and SnapLogic Drive reuse, standardisation, and continuous improvement across integration solutions and platform usage. Support production deployments, incident resolution, and root cause analysis activities. Participate in on-call and production support rotations. Work with globally distributed teams across US and Japan time zones. What we're looking for: 10+ years of experience of designing and delivering enterprise integration on one or more integration platform (e.g. Informatica, Dell Boomi, OSB, or similar) 5+ years of experience of hand-on integration design and development experience on MuleSoft and/or SnapLogic. MuleSoft and/or SnapLogic certification. Experience with AWS SQS and SNS. Experience with GitHub Actions, Jenkins, Maven, ReadyAPI/Postman. Exposure to emerging integration approaches such as MCP Servers and agentic based integrations is desirable. Skills Strong problem-solving and analytical skills. Strong communication and collaboration skills. Ability to work independently and within globally distributed teams. Ability to quickly learn and adapt to new integration technologies and platforms. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. €87.800 — €131.800 EUR Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Dublin Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey is building a best-in-class go-to-market engine, and we're looking for a GTM Systems Administrator to join the GTM Systems team and help scale the systems that power both our pipeline and our customer experience. You'll take on a variety of projects across the full GTM lifecycle, from how we source, enrich, and route leads at the top of the funnel to how we support and engage customers through Zendesk and our Customer Success platforms. This is not a traditional RevOps or Salesforce admin role: we expect this person to work AI-first, using AI tools and agents to build, automate, and maintain systems that would traditionally require engineering support or manual admin work. Reporting to the Head of GTM Systems, you'll partner closely with Sales, Marketing, Support, and Customer Success to translate business needs into scalable, reliable systems that directly drive revenue and retention outcomes. WHAT YOU'LL DO - Work across a variety of projects on the GTM Systems team, with some sprints focused on top-of-funnel growth and others on support and customer success tooling, flexing to where the business needs you most. - Design and improve top-of-funnel systems including lead sourcing, enrichment, scoring, and routing, building enrichment workflows in Clay and across data providers (ZoomInfo, Cognism, Apollo, Clearbit, etc.) to power inbound and outbound pipeline. - Configure and optimize Zendesk as Harvey's primary support platform (ticket routing, triggers, automations, macros, SLA policies, agent workspace) and support adjacent CS platforms like Catalyst. - Contribute to Salesforce configuration across the funnel, including lead routing, scoring, lifecycle stages, and automation (Flows, validation rules, custom objects), and how data flows across Salesforce, marketing automation, support, and enrichment tools. - Use AI as a default working method: build and maintain AI agents, automations, and workflows (AI triage, copilots, agent-based enrichment, LLM-powered data quality checks) to eliminate manual admin work and extend what the systems team can ship without engineering support. - Integrate GTM and CS tools with Harvey's broader ecosystem (CRM, product data, internal tools, communication platforms) to ensure a unified view of the customer, and build reporting and dashboards that provide visibility into pipeline conversion, support performance, and customer health. - Maintain high data quality and compliance through deduplication, normalization, enrichment governance, and consent/opt-out handling, and document system architecture, workflows, and processes so everything scales as the company grows. WHAT YOU HAVE - 4-8+ years of experience in GTM Systems, RevOps, Growth Ops, Support Ops, or similar roles. - Strong proficiency in Salesforce (data modeling, Flows, lead routing, account hierarchy, reporting) plus hands-on experience administering Zendesk (routing, automations, triggers, SLA policies), or deep expertise in one with proven ability to ramp fast on the other. - Hands-on experience with Clay and at least one major enrichment/data provider (ZoomInfo, Cognism, Apollo, Clearbit, etc.), and experience with marketing automation platforms (Marketo, HubSpot, or similar). - Demonstrated AI fluency: you already use AI tools (Claude, ChatGPT, Clay AI, Zendesk AI, or similar) to build workflows, automate admin tasks, draft configurations, and troubleshoot, and you can point to concrete things you've shipped this way. - Strong systems thinking, with the ability to design and debug end-to-end data flows across tools, spanning both reactive support workflows and proactive growth motions. - A collaborative, team-first working style: comfortable operating in a pod, picking up varied projects, and working cross-functionally with Sales, Marketing, Support, Customer Success, and Operations. Highly organized and documentation-oriented, with a focus on scalable, maintainable systems. BONUS - Experience with Customer Success platforms (Gainsight, Catalyst) or Zendesk certification(s). - Experience building integrations using APIs, webhooks, or iPaaS tools (Workato, Zapier, MuleSoft), or integrating GTM systems with data warehouses (Snowflake, BigQuery). - Experience building or deploying AI agents in production (e.g., agentic prospecting, AI ticket triage, health-score automation) - Working knowledge of SQL and/or scripting (Python, JavaScript) for data workflows. - Background in high-growth or early-stage environments where systems are built from the ground up. DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-SH1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building distributed and scalable systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. Responsibilities: Independently scope and lead complex, multi-month infrastructure projects, from an ambiguous starting point through to a production system Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Stand up and run deployments of those monitoring systems across multiple clouds, including inside cloud-provider partner environments where data residency laws apply. Keep the deployments consistent through shared deployment pipelines, smoke tests, observability, and alerting Design and harden the sandboxed runtime that AI agents execute in: isolation, network egress controls, least-privilege data access, audit logging, and insider-risk controls Manage cost and capacity for large volumes of long-running agent work, and set and meet service-level objectives for the platform Partner with the engineers and researchers who write and evaluate the monitoring agents, and with security, privacy, and legal teams, so new detection work can ship quickly on a platform everyone trusts You may be a good fit if you: Bachelor’s degree in Computer Science, Software Engineering or comparable experience Proficiency in Python, Distributed Systems, and Infrastructure as Code Have worked across multiple cloud providers, or built infrastructure designed to be provider-agnostic Have built and operated large-scale, distributed infrastructure, such as data platforms, control planes, or job schedulers Have experience with sandboxing and isolation technologies (containers, microVMs, network policy) or with a systems language such as Rust Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position, not including internships Have built systems that handle sensitive or regulated data, with requirements around access control, auditability, retention, and data residency Have experience running LLM-based agents in production Have experience with integrity, spam, fraud, or abuse detection and mitigation Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Bremen, Germany Supervisor: Prof. Dr. Alexander Tormasov About the Position Constructor Knowledge Labs (CKL), in collaboration with Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project. Constructor Fabric turns a company's informal knowledge into production software through a pipeline of composable capability units called gears : requirements → architecture → product fit → framework (G1) → application → runtime. We are building a World Model over that pipeline — a model that does not just generate code, but predicts the consequences of an architectural decision: total cost of ownership, unintended side effects, latency and failure behaviour, and whether a proposed composition is even admissible. The central object is not a digital twin of the application but its formal architectural skeleton : gear contracts (GearSpec), a typed attributed hypergraph of the application (AppGraph), a composition algebra that defines which assemblies are legal, and several semantic projections (types, protocols, resources, security) over which properties are proved, refuted by counterexample, or reported as an explainable gap . All of it is written in a domain-specific language whose syntax trees and graphs we keep in a projectional editor (JetBrains MPS) — so the DSL is not a convenience layer, it is the thing that defines the model's state space and the boundary of what the model is allowed to propose. What you will work on Depending on your background, one or two of: Formal skeleton and composition — GearSpec as a contract $(Requires, Provides, State, Effects, Assumptions, Guarantees, Parameters)$; AppGraph as a typed attributed hypergraph; an algebra of assembly (sequential, parallel, feedback, refinement); semantic projections and system-level invariants over trajectories. Architecture synthesis as an inverse problem — given a specification, load and constraints, find the composition of gears that realises it. Constraint solving and MCTS as the baseline; a learned transition/value model for ranking and pruning; LLM proposals treated strictly as candidate hypotheses that a DSL parser, type checker and property checks must then admit or reject. DSL design and language engineering — the gear DSL and its glue layer decide which AppGraphs are expressible at all, and therefore where the search space ends. This thread covers the abstract syntax and static semantics of that DSL; the requirement that an architectural decision be unbypassable by construction (you must not be able to wire authentication around the Auth Resolver); what happens to the language when gear contracts change or a 201st gear is added; projectional representation of graphs with cycles; and the open hypothesis that a specialised G1-DSL is generated together with every G1. Local transition models and pipeline surrogates — fast approximate predictors for single pipeline steps (spec change → code quality, architecture → product fit, app → runtime outcome), with calibrated uncertainty, validated against real telemetry. Data — reconstructing (specification → architecture) pairs from open repositories at scale, plus synthetic project generation from a fixed gear set and DSL grammar to cover rare transitions, gaps and counterexamples. Profile MSc (or equivalent) in computer science, mathematics, or a mathematical natural science. Coursework in compilers, programming-language theory, language design or model-driven engineering is a strong positive signal, half of this project is deciding what a formal architecture description is allowed to say. Evidence that you finish things: a maintained open-source repository, a peer-reviewed publication, or a strong competition result. Fluent technical English. Most importantly: the habit of stating an assumption explicitly and designing an experiment that could falsify it. Required mathematical background Core skills: Probability and statistics. Estimation, Bayesian inference, uncertainty quantification and calibration (proper scoring rules, reliability diagrams, ECE), experiment design and significance testing. A prediction we cannot calibrate is not usable here. Linear algebra and multivariate calculus at the level needed to derive, not just call, a training objective: matrix calculus, gradients, stochastic optimisation, conditioning. Discrete mathematics and graph theory. Typed and attributed graphs and hypergraphs, subgraph matching and isomorphism, graph rewriting, reachability, basic complexity classes. Mathematical logic and formal methods. First-order logic, type systems, SAT/SMT, temporal logic (LTL/CTL) and model checking, pre/post-conditions, invariants, refinement. Sequential decision making. MDP/POMDP, dynamic programming, model-based RL, latent state-space (world) models, Monte-Carlo Tree Search. Strong command of at least one, working knowledge of a second: Formal languages, semantics and language engineering — grammars (context-free, attribute and graph grammars), derivation and reachability, parsing; abstract versus concrete syntax; operational and denotational semantics; metamodelling, model-driven engineering, model-to-model transformation, and projectional (structural) editing of the kind JetBrains MPS implements. We are asking for the education, not the tool: you should know why a projectional editor exists, what a metamodel buys you over a text grammar, and how a language evolves without breaking its existing models. Hands-on MPS experience is explicitly not required — we will teach it. Category theory for compositional systems — monoidal and traced monoidal categories, functors as semantic projections, string diagrams, operads. This is the language of our assembly algebra. Causal inference — structural causal models, do-calculus, counterfactuals, identifiability. Required for the "what happens if we replace this technology / move on-premises" class of questions, which similarity search alone cannot answer. Queueing theory and applied stochastic processes — M/M/1 and networks of queues, heavy tails, retries, timeouts, partial failure and reliability models. This is the resource and stochastic projection. Combinatorial optimisation, constraint programming and program synthesis theory — CEGIS, version-space algebras, symmetry breaking, search heuristics. Representation learning theory — VAEs and latent dynamics, GNN expressiveness (Weisfeiler-Leman hierarchy), permutation equivariance, embedding migration under a changing vocabulary. Required hands-on programming skills This is an engineering-heavy PhD. We expect code that another person can clone, run and reproduce — not notebooks that worked once. Must have: Python (professional level). Type hints, packaging, `pytest`, profiling, `asyncio`, memory-aware data structures. You write unbuffered, logged, restartable long-running jobs by default. Training loops written from scratch, custom datasets and collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility. Graph machine learning. PyTorch Geometric or DGL — message passing, heterogeneous and typed graphs, graph transformers, handling graphs whose node vocabulary changes between versions. Solvers and verification tooling driven from Python. Z3 or cvc5 hands-on; demonstrated exposure to at least one model checker (TLA+/TLC, SPIN, NuSMV, Alloy) or proof assistant (Lean, Coq, Isabelle). Code as data. AST manipulation, `tree-sitter`, static analysis, dependency and interface graph extraction, large-scale repository mining. Parallel data pipelines. `multiprocessing`, Ray or Dask; checkpointing, heartbeats, cost estimation before launching a run that touches millions of files. LLM engineering. API orchestration, structured and grammar-constrained decoding, evaluation harnesses, token/cost accounting — with the discipline to treat model output as a hypothesis subject to formal checks. Linux, git, code review, shell. Desirable: Language tooling you have actually used: ANTLR, Xtext, Lark, or a parser, type checker or interpreter you wrote yourself. Our internal representation of gear syntax trees and graphs lives in JetBrains MPS — again, we do not ask for MPS experience, only that you are comfortable reading and extending a metamodel; Java/Kotlin literacy helps once you get there. JAX, or compiler / SAT-SMT internals. Infrastructure literacy — Docker, Kubernetes, Terraform, OpenTelemetry/Prometheus — since the resource projection is calibrated against real deployment telemetry. One systems language (Rust, Go or C++) for performance-critical search. Prior experience with production software architecture, or with a brownfield system you had to change without breaking. Funding The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650 Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Location: Bremen, Germany Duration: 3 years, full time Start date: November 2026 Application package must include CV, including publications, code, or research projects. Cover letter (1–2 pages) explaining your motivation, research interests, and fit with the project. A link to code you have written. A one-page research statement picking one open research question from the project and sketching how you would approach it. Master’s and Bachelor’s degree certificate and transcripts. Contact information for 2–3 academic referees. Applications are reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Location: Stockholm Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? In this role, you will have ownership of the full sales cycle - from identifying leads to closing deals with Global 2000 across Sweden, Denmark and Norway in telecommunications, financial services, industrial manufacturing, energy and utilities, and healthcare and life sciences. Sovereignty and control over where data and models reside are growing priorities across these sectors, and Cohere is well positioned to meet that need with private, on-premise and in-country deployment built for enterprise scale. We’re looking for an approachable and compelling communicator who loves working with prospects to uncover their needs and feels comfortable developing tailored value propositions around how Cohere’s platform can help them achieve their business goals. You’ll lay the foundation for Cohere’s growth by owning your territory and collaborating with teammates across customer success, sales development, marketing, and solution architecture.   As a Senior Account Executive, you will: - Drive net-new customer acquisition across Sweden, Denmark and Norway via targeted outbound activity, executive introductions, and relationship building with key stakeholders - Own the full sales cycle – from initial outreach, technical and business validation, through deal close - Support coverage of adjacent Nordic accounts as territory priorities require - Generate and own your own pipeline through disciplined outbound, research and executive prospecting - Be a trusted advisor to customer prospects, deeply understand their challenges & goals, and tailor solutions to drive impact for their businesses - Leverage senior-level relationships with executives to drive strategic partnerships and sales opportunities - Align closely with our partners and systems integrators to drive shared revenue and extend reach into target accounts - Work cross-functionally across the business, drawing in the right technical and specialist colleagues as each engagement requires - Collaborate with Sales Development Representatives and Marketing to supplement your own top of funnel activity   You may be a good fit if you have: - Fluent in at least one Nordic language – Swedish, Norwegian or Danish – in addition to English; additional Nordic languages are a strong advantage - 10+ years of B2B enterprise sales experience with Global 2000 and large enterprise customers along with experience negotiating & closing transformational 7-figure deals - Depth in at least two of our priority sectors: financial services, telecommunications, energy and utilities, manufacturing, healthcare and life sciences - A hunter mentality - you take pride in generating your own pipeline and are at your best when building a territory rather than managing an inherited one - A proven track record of high performance and exceeding quotas - Experience building and maintaining senior-level relationships with executives - Experience working alongside channel partners and systems integrators to drive sales cycles and hit shared revenue goals - Excellent communication skills - you are a great listener, have a knack for understanding what matters most to others & building strong relationships, experienced presenting to a C-suite audience, and feel comfortable speaking to both technical and non-technical customer prospects   Additional Requirements: - Experience selling complex enterprise level solutions, technical products, and private or on-premise deployments (AI/NLP solutions preferred) - Familiarity with European data residency, sovereignty and regulatory requirements as live buying criteria - High tolerance for ambiguity - this is an early-stage territory without an established local playbook, and you'll need to be both a doer and a strategist - Creativity - deal structures can widely vary, strong technical acumen and the ability to creatively structure mutually beneficial partnerships are necessary FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Renton, Washington, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Job Overview The cloud platform underpins how services are built, deployed, secured, and operated across the organization. As a Principal Cloud Infrastructure Engineer, you will define and drive the governance model and automation strategy for cloud infrastructure. This includes setting policy-as-code standards, automating compliance and cost controls, and ensuring infrastructure is provisioned and operated through consistent, auditable, self-service pathways rather than tailored or manual processes. You will operate at both a strategic and hands-on level and will set direction for how cloud resources are governed and automated while also building the tooling and guardrails that make that direction real. Success in this role means engineering teams can self-service the build and operation of infrastructure with confidence that it is secure, cost-aware, and consistent by default, without slowing delivery down. Location and Work Arrangement This role is based at our Renton, Washington office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Define and enforce policy-as-code standards (tagging, naming, encryption, network segmentation, access boundaries) across cloud accounts/subscriptions Establish guardrails using tools such as Open Policy Agent (OPA), Sentinel, AWS Config/Service Control Policies to report on and prevent drift from approved patterns Partner closely with Security/Identity and Access Management (IAM) to deliver least-privilege enforcement and access-control requirements directly in our self-service capabilities while ensuring compliance and auditability Embed cost governance and reporting (budgets, anomaly detection, showback/chargeback) into provisioning workflows Drive the organization's Infrastructure-as-Code standards (e.g., Terraform/Terraform Cloud, Pulumi) Establish and maintain reusable, versioned modules and contribution standards that embed governance requirements by default. Automate environment provisioning, drift detection/remediation, and lifecycle management so policy compliance doesn't depend on manual review Stay ahead of AI-native tooling and bring forward practical opportunities balancing risk, fit, value, measurability, and alignment to company goals. Develop golden paths for infrastructure provisioning and service deployment that make the guided path the easiest path Partner on developer platform tooling and integrations (continuous integration and continuous delivery (CI/CD), container registries, managed data services, observability) where they intersect with governance and automation. What You'll Bring 8+ years in cloud engineering, DevOps, or platform engineering, including experience operating at a principal or staff level (setting direction, not just implementing) Deep experience with major Cloud Platforms (AWS, Azure, or Google Cloud Platform (GCP)), ideally across more than one Deep hands-on experience with Infrastructure-as-Code (Terraform and/or Pulumi) at scale, including module design and state/workspace management Direct experience implementing policy-as-code and cloud governance frameworks Experience with cloud cost management/FinOps practices and tooling Familiarity with continuous integration and continuous delivery (CI/CD) platforms, container registries, and observability tooling as consumers of the standards you build Ability to influence across platform, security, FinOps, and product engineering teams without direct authority Strong documentation and communication skills; able to make the case for standards to both engineers and leadership Experience mentoring engineers and setting technical direction beyond your own immediate team Experience with platform advocacy, working with partners to understand infrastructure needs in collaboration with Product. What Sets You Apart Exposure to applying AI tooling to infrastructure problems (policy review, anomaly detection, automation) is a plus Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . #Wizards The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $172,600 — $259,000 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

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

Location: St. Petersburg, Russia; Moscow, Russia; Belgrade, Serbia Workplace: remote At NOVACARD , we’re redefining how people use credit. We are the first interest-free and no-annual-fee credit card in Mexico , designed to simplify personal finances and give users complete control - all from a mobile app. With NOVACARD, users can access up to $200,000 MXN in credit , only pay when they use it, and manage everything digitally in under 5 minutes. Our mission is to empower people to make smarter financial decisions by offering flexibility, transparency, and the freedom they need to reach their goals. Simple finances, big goals. About the Role: We’re looking for a DevOps Engineer to design, deploy, and operate AWS infrastructure for a large-scale migration of a digital financial product. You’ll build and maintain a production-ready platform covering AWS networking, Kubernetes/EKS, CI/CD, observability, backup/restore, and secure access management. You’ll collaborate closely with development, system analysis, QA, and engineering teams to ensure fast delivery, stable services, and a controlled migration. Key Responsibilities: AWS Infrastructure Design & Operations Design, deploy, and maintain AWS infrastructure: VPC, Subnets, Route Tables, Security Groups, IAM, EC2, EBS, S3, ELB/ALB/NLB, Route53. Configure AWS networking: public/private subnets, NAT Gateway, Internet Gateway, VPC Peering / Transit Gateway, VPN, routing. Ensure HA, backup/restore, disaster recovery, and production infrastructure principles. Create and maintain AWS infrastructure as code using Terraform. Kubernetes & Containerization Build and operate Kubernetes on AWS (EKS). Work with core Kubernetes objects: Deployment, StatefulSet, DaemonSet, Service, Ingress, ConfigMap, Secret, Job/CronJob, PVC/PV, Namespace, ServiceAccount. Use Helm for application management. Configure Ingress Controller, Load Balancer, and TLS/certificates. Understand Kubernetes storage and ensure stateful applications run reliably. Work with Docker: image builds, registry, container troubleshooting. CI/CD & Automation Build CI/CD processes, preferably with GitLab CI. Automate deployment of applications and dependent services. Integrate infrastructure changes into pipelines and maintain reproducible environments. Observability, Reliability & Operations Set up monitoring with Prometheus + Grafana: metrics and alerts. Organize centralized log collection and analysis: Loki/ELK/OpenSearch. Diagnose network and system issues in Linux. Ensure production stability, respond to incidents, and eliminate root causes. Security & Access Management Manage secrets: AWS Secrets Manager / Vault/OpenBao / External Secrets. Configure RBAC/IAM and follow the principle of least privilege. Ensure secure service-to-service communication and infrastructure access. Data & Services Support PostgreSQL, Redis, RabbitMQ/Kafka at the infrastructure and application integration level. Ensure backup/restore and fault tolerance for stateful services. Help teams deploy and maintain dependent services in Kubernetes. Key Requirements: AWS & Networking Strong AWS experience: VPC, Subnets, Route Tables, Security Groups, IAM, EC2, EBS, S3, ELB/ALB/NLB, Route53. Good understanding of AWS networking: public/private subnets, NAT Gateway, Internet Gateway, VPC Peering / Transit Gateway, VPN, routing. Kubernetes & Containers Hands-on experience building and operating Kubernetes on AWS (EKS). Understanding of core Kubernetes objects: Deployment, StatefulSet, DaemonSet, Service, Ingress, ConfigMap, Secret, Job/CronJob, PVC/PV, Namespace, ServiceAccount. Experience with Helm. Experience configuring Ingress Controller, Load Balancer, and TLS/certificates. Experience with Docker: image builds, registry, container troubleshooting. Understanding of Kubernetes storage and stateful application operation. IaC & CI/CD Terraform — creating and maintaining AWS infrastructure as code. Experience building CI/CD, preferably GitLab CI. Data, Queues & Storage Experience with PostgreSQL, Redis, RabbitMQ/Kafka at the infrastructure and application integration level. Understanding of HA, backup/restore, disaster recovery, and production infrastructure principles. Monitoring, Logging & Secrets Monitoring: Prometheus + Grafana, configuring metrics and alerts. Centralized log collection and analysis: Loki/ELK/OpenSearch. Secrets management: AWS Secrets Manager / Vault/OpenBao / External Secrets. Linux & Security Linux administration and confident diagnosis of network and system issues. Experience configuring RBAC/IAM and following the principle of least privilege. Especially Important Practical Experience: The engineer must be able to design an AWS network from scratch → set up EKS → deploy an application and dependent services → configure ingress/DNS/TLS → CI/CD → monitoring/logging → backup → hand over a production-ready infrastructure for operation. Nice to Have: Experience migrating lending systems or fintech products. Experience building CI/CD with GitLab CI. Hands-on experience with Vault/OpenBao, External Secrets. Experience with Kafka and stateful services in Kubernetes. What We Offer: Participation in a large-scale migration of a digital financial product. Work with a modern stack: AWS, Kubernetes/EKS, Terraform, CI/CD, Prometheus/Grafana. Close collaboration with development, system analysts, QA, and engineers. Opportunity to build a production-ready platform from scratch and hand it over to operations. Terms and work format — discussed individually

Location: Paris 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 We are seeking experienced and highly motivated Technical Program Managers (TPMs) to join our Engineering organization and drive the delivery of high-impact technical projects. In this role, you will plan, execute, and oversee complex programs aligned with our strategic goals. Success requires a combination of technical expertise, project management excellence, hands-on engagement, and strong cross-functional leadership to ensure projects are delivered on time, within budget, and to the highest standards. The TPM role spans multiple critical areas of program management: Functional/Technical Support – Collaborate with teams to refine and communicate roadmaps, organize delivery, maintain project tracking tools, identify dependencies, and proactively track blockers. Work closely with Product Managers to escalate risks and ensure alignment. Engineering Operations – Drive efficiency by automating processes and championing their adoption across Engineering teams, reducing manual effort and enabling scalable, consistent workflows. Customer Programs – Partner directly with key enterprise customers to support deployments, ensuring timely delivery of specialized features from Product Engineering teams. Release & Portfolio Management – Coordinate model releases with Science Program Managers and product releases with Engineering Program Managers to maintain seamless execution. LOCATION & OFFICE POLICY   The position is based in our Paris HQ offices and we encourage going to the office as much as we can (at least 3 days per week) to create bonds and smooth communication. Our remote policy aims to provide flexibility, improve work-life balance and increase productivity. Each manager can decide the amount of days worked remotely based on autonomy and a specific context (e.g. more flexibility can occur during summer). In any case, employees are expected to maintain regular communication with their teams and be available during core working hours. WHAT YOU WILL DO Program Management — Oversee and manage our development and deployment processes, ensuring efficiency, effectiveness, and alignment with product timelines. Cross-Functional Collaboration — Work closely with cross-functional teams, including Engineering, Product, Science, Marketing/Coms teams, Design, and Solutions to ensure alignment of engineering operations with overall product and business objectives. Project Delivery — Track project progress, timelines, and resources. Assist teams to implement processes to smoothen delivery process. Process Improvement — Continuously identify and implement process improvements to enhance the efficiency and productivity of the engineering team, in coordination with the other TPMs. Stakeholder Management — Regularly communicate with stakeholders to provide updates on program status, risks, and issues, and to manage expectations. Risk Management — Identify potential risks and issues in the program lifecycle, and develop contingency plans to mitigate them. WHAT WE'RE LOOKING FOR • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.) • You have proven experience in managing technical programs, preferably within an engineering team. • You have a strong understanding of software lifecycle management and deployment processes • You have excellent project management skills, with the ability to run multiple complex programs smoothly • You are thriving in cross functional collaboration and you know how to adapt your communication to stakeholders • You are highly organized and knows how to manage cross team dependencies • You are a proactive problem-solver with a continuous improvement mindset. • You have strong design thinking skills and feel comfortable with actively contributing to architecture decisions Ideally, you have: • Experience as a Software Developer. • Already worked in an AI company/project. • Knowledge of how LLMs are built and work. • Already worked as a Technical Program Manager 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.

Заказчик — крупный российский ритейлер. Проект связан с масштабной миграцией инфраструктуры и приложений в Yandex Cloud: перенос Kubernetes-приложений со старых версий Kubernetes, миграция виртуальных машин и баз данных, а также перевод CI/CD-процессов с Bamboo на GitLab CI. Работа ведётся в команде заказчика под руководством проектного менеджера. Обязательные требования — Не менее 3 лет коммерческого опыта в направлениях DevOps, SRE или Platform Engineering. — Практический опыт работы с сервисами Yandex Cloud: Compute Cloud, VPC, Managed Service for Kubernetes, Object Storage, а также с managed-сервисами баз данных. — Уверенное владение Kubernetes и Helm. — Опыт адаптации приложений — перенос решений со старых версий Kubernetes на актуальные. — Навыки работы с Terraform либо OpenTofu, в том числе с готовыми IaC-модулями. — Знание особенностей устаревания (deprecation) API Kubernetes, включая типовые сложности при миграции с Kubernetes 1.11. — Опыт разработки и поддержки CI/CD-пайплайнов в GitLab. — Опыт переноса CI/CD-процессов из Bamboo или схожих систем. — Практические навыки Linux-администрирования, настройки виртуальных машин и сетевых параметров. — Опыт миграции баз данных — в частности, PostgreSQL, MySQL либо других СУБД, задействованных в проекте. — Способность следовать установленным шаблонам и инженерным стандартам, а также фиксировать изменения в документации. — Готовность к работе в команде заказчика под руководством проектного менеджера. Дополнительные требования — Практический опыт работы с Yandex Managed Service для PostgreSQL, MySQL, Redis и Kafka. — Навыки применения GitOps-инструментов Argo CD, FluxCD. — Опыт использования Container Registry. — Владение Helmfile и Kustomize. — Опыт переноса legacy-приложений и миграции устаревших Kubernetes-кластеров. — Участие в крупных миграционных проектах с параллельными потоками работ. Задачи на проекте Подготовка к миграции — Изучение существующих шаблонов развёртывания: Terraform-модулей, Kubernetes-манифестов, Helm-чартов, GitLab CI-шаблонов и эксплуатационных инструкций. — Техническая инвентаризация переносимого приложения или компонента: контейнеры, зависимости, конфигурация, секреты, хранилища, БД, сетевые взаимодействия. — Оценка технической готовности компонентов к переносу и выявление отклонений от типовых шаблонов. — Согласование выявленных технических блокеров и нестандартных решений с представителями заказчика. Миграция Kubernetes-приложений — Подготовка приложений, работающих в Kubernetes 1.11, к развёртыванию в целевом Kubernetes-кластере Yandex Cloud. — Адаптация манифестов, Helm-чартов и иных deployment-конфигураций под актуальную версию Kubernetes и принятые на проекте шаблоны. — Устранение использования устаревших Kubernetes API и несовместимых параметров конфигурации. — Настройка параметров приложений: ConfigMap, Secret, Ingress, Service, PersistentVolumeClaim, resource limits/requests, probes и других необходимых сущностей. — Выполнение развёртывания и технической проверки работоспособности в согласованных окружениях. — Подготовка технических процедур отката в рамках принятого процесса релизов. — Переключение сервисов в новое окружение. Перенос ВМ и сервисных компонентов — Перенос прикладных компонентов с on-premise ВМ в Yandex Cloud с использованием существующих шаблонов и подходов проекта. — Развёртывание и настройка целевых ВМ, если компонент не переводится в managed-сервис. — Перенос баз данных и сервисных компонентов в определённые заказчиком managed-сервисы Yandex Cloud либо на целевые ВМ. — Миграция данных по утверждённой процедуре. — Техническая валидация: доступность сервиса, сетевые соединения, корректность конфигурации, целостность данных и запуск приложений. Трансформация с Bamboo на GitLab CI — Анализ действующих Bamboo-планов конкретных переносимых приложений. — Перенос логики сборки, тестирования, упаковки и деплоя в GitLab CI. — Использование существующих на проекте GitLab CI-шаблонов и общих компонентов пайплайнов. — Настройка передачи артефактов, кэширования, переменных окружения и правил запуска jobs в соответствии с принятыми стандартами проекта. — Настройка деплоя в согласованные окружения и механизма отката, предусмотренного действующим процессом. — Проверка пайплайнов на тестовом и целевом окружениях. Документирование и передача результатов — Ведение технической документации по каждому перенесённому компоненту. — Фиксация отклонений от шаблонных решений, принятых workaround'ов и известных ограничений. — Подготовка инструкций по запуску миграции, валидации, деплою и откату. — Участие в технических статус-встречах, предоставление актуального статуса и информации о блокерах проектному менеджеру заказчика.

Location: Béthune, Pas-de-Calais, France About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We’re looking for an L2  IT Technician in data center to support and maintain large-scale GPU clusters in a data center environment. We are seeking an experienced IT Hardware Support Engineer to This role focuses on troubleshooting of high-performance server hardware, including GPU clusters. You will be deeply involved in resolving complex hardware incidents, proactively handling L1/L2 support via the ticketing system. Working closely with IT infrastructure engineers and L3 technicians, you will help optimize diagnostics, reduce resolution times, and continuously improve SLA performance. Your responsibilities will include Solve hardware related issues with servers, involving in-depth advanced level troubleshooting Report to hardware problem management, execute workarounds and solutions Solve proactively L1/L2 tasks through ticket system Update new processes and documentation for IT hardware team Collaborate with IT infrastructure engineers and L3 Technicians to improve SLA with complex diagnostics Improve support processes, documentation and training materials Basic level of network tasks, troubleshooting and support Requirements Knowledge of datacenters, and server equipment Advanced knowledge of IT hardware and practical experience of troubleshooting Advanced skills working with the Unix/Linux operating system and command line Experience with equipment monitoring, data analysis and presentation Proactiveness and sense of responsibility High proficiency in spoken and written English It will be a bonus if you have Knowledge of network equipment and troubleshooting in advanced level Driving license type B Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The AI Security team within Reddit’s Security Platform Engineering organization builds security into Reddit’s products, engineering systems, AI platforms, and operational infrastructure so the secure path is the easiest path for both people and agents. A core part of this work is developing practical, high-quality machine learning systems that detect and prevent risks such as prompt injection, jailbreaks, sensitive data exposure, and unsafe or unauthorized AI behavior. Building on Reddit’s centralized LLM Guardrails Platform, which provides a shared security and safety boundary across major products, we are expanding ML-powered protections as Reddit’s AI systems and threat landscape evolve. We are looking for a founding Staff Machine Learning Engineer to lead the development, training, and optimization of models for AI security at Reddit. This is a strategic and hands-on individual contributor role, combining deep ownership of model architecture, training data, and experimentation with technical leadership across teams. You will help Reddit deliver stronger AI protections while preserving a high-quality product experience. How You’ll Have Impact Select, adapt, fine-tune, evaluate, and deploy pretrained models and lightweight classifiers for Reddit-specific security problems. Build reproducible training and evaluation pipelines on Reddit’s ML platform, partnering with platform engineers to improve inference performance, resource efficiency, and operational reliability. Set the technical vision and multi-quarter modeling roadmap, partnering with cross-functional teams to gather requirements, define model architectures, and iterate on model development. Conduct model evaluations and performance analysis to improve accuracy and adversarial robustness, and define launch criteria that balance false positives, latency, throughput, reliability, and cost. Own training-data quality and the production model lifecycle, using monitoring, incident findings, and red-team feedback to guide dataset improvements, retraining, and safe rollout or rollback. Establish best practices for responsible ML development and deployment, including reproducible experiments, testing, model and data lineage, and privacy-aware data use. Stay current with research in NLP, large language models, and relevant multimodal techniques, translating promising advances into measurable model improvements. Mentor engineers and lead technical discussions and reviews, shaping the team’s long-term ML capabilities and AI security direction. Who You Might Be 8+ years of experience developing machine learning models, with substantial hands-on model training experience, demonstrated production impact, and a record of leading complex initiatives across teams. Strong background in Python programming, software engineering, and deep learning frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face Transformers. Deep understanding of neural network architectures and optimization, with proficiency in data preprocessing, tokenization, embeddings, language modeling, and model calibration. Expertise in scalable data pipelines and distributed training frameworks such as Ray Train or PyTorch Distributed, with a strong understanding of hardware and system tradeoffs. Demonstrated rigor in experimental design and model evaluation, including representative holdouts, ablation studies, adversarial tests, and error analysis to diagnose training issues, bias, and generalization gaps. Excellent written and verbal communication, with the ability to explain model behavior, security risk, uncertainty, and tradeoffs to technical and non-technical partners. Preferred Qualifications Experience applying ML to security, trust and safety, fraud, privacy, or related adversarial domains. Experience with adversarial training, model distillation, active learning, or synthetic-data generation to improve model quality, robustness, and training efficiency. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-Remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $230,000 — $322,000 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

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

Location: Southland Workplace: Remote ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE. We’re looking for a driven, high-performing Account Manager to join the momentum and help shape the future of farming in the Southland region. This is an opportunity to positively disrupt an industry and pioneer groundbreaking change, working with some of the highest-performing dairy farms in New Zealand. Serving as the primary point-of-contact for Halter customers, you will be passionate about driving farmer success for one of the world’s fastest-growing companies that will transform how they farm to become leaders in productivity and sustainability. You will be backed by a team of exceptional people on the ground in the South Island and at Halter’s Auckland HQ, to ensure this is the best job you’ll ever have. Location - This role is to be based anywhere in the Northern Southland region. Frequent travel is required as part of the position.   WHAT YOUR DAY COULD LOOK LIKE. - Revenue Retention & Expansion: You will own the retention, renewals and expansion targets of Halter’s existing revenue in the region. - Ensure farmers are extracting full value from Halter to achieve their goals and ultimately understand the impact it’s having on their farming business. - Account Management: Responsible for renewing customer agreements and expanding the revenue of existing Halter customers, by adding value in every interaction to drive on-farm goals and performance. - Deployment: Supporting the onboarding, training and implementation of the Halter system on customers' farms, ensuring all relevant farm owners, managers, and workers are able to successfully use the system. - Relationship Building: Proactively cultivate genuine and trustworthy relationships with farmers, their teams, and families, fostering strong connections and understanding. - Farmer Success: Strategically partnering with customers to establish clear business goals, timelines, priorities and metrics of success. - Problem-Solving: Provide prompt and effective communication and support to farmers and team members, addressing technical or operational challenges with expertise and efficiency. - Community & Networking: Represent the Halter brand with pride, lead local discussion groups, and proactively build strong networks within the community for increased brand visibility and connections. - Customer Advocate: Acting as the voice of the customer and bridging the gap with our product teams to provide important context about what is happening on the ground with our farmers and their animals. - Technical Expertise: Working closely with our product teams to provide technical and practical advice from a farmer’s perspective on everything reproduction, pasture and agronomy. - Contribute to a positive team environment, supporting others to succeed and role modelling Halter’s Operating Principles.   WE’RE BACKING POTENTIAL OVER POLISH. THESE ARE THE TRAITS THAT MATTER MOST: - A great human first - You bring integrity, humility, and care. You do what you say you’ll do. You show up for your farmers and your teammates. - Lifelong learner mindset - You’re genuinely curious. You ask questions, seek feedback, and are excited to keep leveling up alongside a world‑class team. - Hunger and grit - You love chasing ambitious goals, solving hard problems, and sticking with it when things get tough. - Positive energy and team spirit - You lift the people around you, not drain them. You enjoy collaborating, sharing ideas, and celebrating others’ wins as much as your own. - Comfort in a fast‑moving environment - You’re at your best when things are dynamic. You can work autonomously, manage your time well, and stay focused on what matters most. EXPERIENCE THAT HELPS YOU HIT THE GROUND RUNNING. - A background in relationship management, account management, sales, or working closely with customers. - Experience in dairy or the wider ag sector is a bonus, but not a deal breaker if you bring strong learning agility and a genuine passion for helping farmers succeed. - A foundation of business acumen and a willingness to deepen it on the job. - If you’re excited by the idea of working with an exceptional South Island team, spending time on farm with great people, and helping farmers become leaders in productivity and sustainability, we’d love to hear from you.   WHO WE’RE LOOKING FOR. - 3-5 years of experience in relationship management/account management roles. - Experience in dairy farming or within the agriculture sector with a deep passion for helping farmers succeed. - Strong business acumen. - Positive attitude and collaborative team player who excels at overcoming challenges. - The ability to thrive in a dynamic, fast-paced working environment with a high degree of autonomy. - A hunger for success and personal growth, and an eagerness to evolve alongside a world-class team. OUR BENEFITS - Healthy body, healthy mind. We’re partnered with Southern Cross Health Insurance to support your well-being. - We offer 6 months of fully paid parental leave for primary caregivers, 4 weeks of fully paid secondary caregiver leave and many other parental benefits that support you and your family. - Our time to recharge is valued, we’re offered wellness leave and unlimited paid annual leave. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: Almaty, Kazakhstan We are looking for a Project Manager to support software development projects in the retail and e commerce domain. You will help coordinate teams, maintain delivery alignment, and support effective project execution across timelines, scope, quality, and reporting. The project focuses on software development initiatives for retail and e commerce solutions. You will collaborate with cross functional teams and stakeholders under the guidance of a Senior Project Manager or Delivery Manager. Manage software development projects throughout the full project lifecycle Define project scope, objectives, timelines, and delivery plans in collaboration with stakeholders and delivery teams Coordinate cross functional teams, including developers, QA engineers, business analysts, and solution architects Monitor project progress, identify risks and dependencies, and drive mitigation activities Facilitate Agile ceremonies and support effective collaboration between business and technical teams Manage stakeholder expectations and provide regular status updates, reports, and project forecasts Ensure project deliverables meet quality standards and business requirements Track project budgets, resource allocation, and project performance metrics Drive issue resolution and escalation management when required Maintain project documentation, governance artifacts, and reporting dashboards Support continuous improvement initiatives and project management best practices 3+ years of experience in Project Management within software development projects Strong understanding of the Software Development Lifecycle, SDLC Practical experience managing Agile and or Scrum projects Experience working with distributed and cross functional teams Proficiency with project and task management tools such as Jira, Confluence, YouTrack, or similar Good understanding of software engineering concepts, including frontend, backend, APIs, integrations, testing, and deployment processes Experience managing project risks, dependencies, scope changes, and stakeholder communications Strong organizational, communication, negotiation, and problem solving skills Ability to manage multiple priorities in a fast paced environment English proficiency at Upper Intermediate level or higher Experience delivering projects in the retail, e commerce, logistics, or supply chain domains Experience with OMS, POS, CRM, ERP, or payment system integrations Background in Business Analysis, Product Management, Delivery Management, or QA Experience working with international clients and distributed teams Knowledge of project management methodologies and certifications such as Scrum Master, PMI, PRINCE2, or Agile certifications Experience with project budgeting, forecasting, and resource planning