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Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada. The Opportunity: We build Tempo , the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack. 2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants). Over the next year, you will help us: Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes. Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction. Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on. Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors. Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations. What You’ll Be Doing: As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team. Deliver significant technical projects. Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction. Own major components of Tempo. Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team. Build APIs for humans and agents. Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably. Contribute to operational excellence. Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts. Collaborate with Product and sibling teams. Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them. Mentor and support engineers. Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers. Participate in on-call for the services you help build, and contribute to incident response and post-incident learning. Contribute to open source. Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. Example problems you could work on These are the kinds of projects landing in 2026: Trace aggregation and higher-density APIs: extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant. Autoscaling end-to-end: customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down. Agent-scale ingestion and query: guardrails for bursty, high-cardinality, agent-generated workloads. Query performance: new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges. Rollouts and multi-cell operations: parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise. Limits and self-service: drive customer-facing configuration and observability so escalations trend toward zero. What Makes You a Great Fit: Technical ownership. A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow. Solid systems experience. Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar. Strong software craftsmanship. You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship. Strong Go, or a path to it. We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well. Operational mindset. You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore. Customer focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. Collaboration and clear writing. You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment. Bonus Points For: Experience with tracing, OpenTelemetry, or large-scale observability systems. Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents). Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads. Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes. Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses. Open-source contribution or maintainership, and comfort engaging a community in the open. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. How we work We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. In Canada, the OTE (On-Target Earnings)/Base compensation range for this role is CAD $170,247 - $204,297. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, Texas About Us At Cloudflare, we have our eyes set on an ambitious goal: to help build a better Internet. Today the company runs one of the world’s largest networks that powers approximately 25 million Internet properties, for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us! About the team You will be part of the Strategy  Data and Analytics team within Cloudflare’s Infrastructure Strategy department. The Strategy team focuses on building both external and internal relationships that allow for Cloudflare to scale and reach user populations around the world. Our group takes a long term and technical approach to forging mutually beneficial and sustainable relationships with all of our network partners. This team in particular is focused on Cloudflare’s infrastructure budget, strategy, investment plan,  and costs. About the role We are looking for an early-career Infrastructure Business Operations Associate to work directly with Cloudflare's Infrastructure Strategy organization. You will help turn complex infrastructure questions into clear analyses, recommendations, and repeatable operating processes. Your work will span capacity and supply planning, infrastructure budgets, procurement, deployment, product and deal economics, and cost management, connecting demand assumptions and investment decisions to execution. You will be successful in this role if you bring a structured approach while remaining practical and hands-on. You should be comfortable working through ambiguity, reconciling imperfect data, asking thoughtful questions, and communicating a concise answer. You do not need to arrive as an infrastructure expert; curiosity, sound judgment, attention to detail, and a willingness to learn quickly matter more. What you'll do Build and maintain analyses for infrastructure budgets, forecasts, actuals, commitments, and variances. Support capacity, supply, and investment decisions with scenario models, unit economics, sensitivity analysis, and clear trade-offs. Analyze product and deal economics, including cost-to-serve, pricing scenarios, contribution margin, and the operational drivers behind profitability. Partner with Product, Finance, and commercial teams to evaluate strategic opportunities and explain how demand, architecture, hardware, capacity, and contract assumptions affect deal margins. Track major investments from demand and approval through procurement, manufacturing, deployment, and invoicing; identify gaps, risks, and required follow-ups. Turn ambiguous stakeholder questions into structured workplans, gather evidence across systems and teams, and develop decision-ready recommendations. Prepare concise executive materials, operating reviews, and written updates that explain what changed, why it matters, and what decision is needed. Partner with Finance, Supply Planning, Engineering, Procurement, and operations teams to reconcile data, clarify ownership, and keep work moving. Improve recurring workflows using spreadsheets, SQL, AI tools, lightweight automation, and clear documentation; help maintain trusted data and controls. Examples of desirable skills, knowledge and experience Approximately 2-4 years of experience in management consulting, business operations, strategic finance, analytics, supply chain, or another quantitatively rigorous role. Strong structured problem-solving skills: you can break an unclear question into testable components, identify the important drivers, and synthesize a practical answer. Experience with, or strong interest in, product economics, deal modeling, cost allocation, pricing, or margin analysis. Comfort working with quantitative data in spreadsheets; experience with SQL, data visualization, or financial and operational modeling is helpful, or you are motivated to learn. Clear written and verbal communication, including the ability to turn detailed analysis into concise materials for executive audiences. Strong project-management habits, attention to detail, and the persistence to follow issues across multiple teams and systems to resolution. Curiosity about internet infrastructure, hardware, AI Infrastructure, capacity planning, and economics; prior infrastructure experience is welcome but not required. A practical approach to AI and automation: you use tools to move faster while validating outputs and maintaining sound judgment. Bonus Points Familiarity with Google Cloud Platform or other analytics databases What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: United States; Canada Workplace: OnSite WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview As a Member of Technical Staff in Post-Training Data Infrastructure, you will build and own the pipelines that produce the post-training data for our large language models (LLMs), from SFT and RL data to synthetic and human-annotated data. You will work closely with researchers and annotation teams so they can iterate on data as quickly as they iterate on models. Key Responsibilities - Build and maintain data pipelines for SFT, preference, and RL post-training data. - Own dataset quality, versioning, and reproducibility. - Turn research data recipes into production-grade, reusable components. - Scale model inference for data generation and model-based grading. - Design data formats and schemas that keep post-training datasets consistent and efficient to train on. - Collaborate with researchers and engineers to make sure data pipelines keep pace with the needs of cutting-edge language models. Qualifications - Strong software engineering skills. - Experience designing and building large-scale data pipelines for machine learning, ideally for LLM post-training. - Track record of running distributed data processing and model inference at scale. - Good understanding of post-training methods (e.g., SFT, RLHF, DPO) and how data shapes model behaviour. - Excellent communication skills. This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We value diverse backgrounds and perspectives at Cohere   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: Europe; New York; Toronto 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! Key Overview: As a Member of Technical Staff in Post-Training, you will train our large language models (LLMs) with reinforcement learning and develop methods that help them generalize beyond the distribution they were trained on. You will design the training recipes, environments, and evaluations that tell us whether a model has truly learned a skill or has only fitted its training tasks, and turn what works into the recipes behind our production models. You will work closely with the post-training data infrastructure, evaluation, and pre-training teams. Key Responsibilities - Design, run, and analyse large-scale RL post-training experiments (e.g., RLHF, RL from verifiable rewards). - Research and develop methods that improve out-of-distribution generalization, such as reward design, environment and task diversity, curricula, and regularization. - Build held-out evaluations that measure generalization to unseen tasks, domains, and formats, and that catch reward hacking and benchmark overfitting. - Diagnose training dynamics and failure modes, including instability, reward over-optimization, and capability regressions. - Turn successful research into robust, reproducible training recipes for production models. Qualifications - Strong research and software engineering skills, with hands-on experience training LLMs. - Experience applying reinforcement learning to LLMs (e.g., PPO, GRPO, RLHF, RLVR), ideally at scale. - Track record of work on generalization, robustness, or distribution shift, through publications or shipped models. - Rigorous experimental practice: clean ablations, careful controls, and sound conclusions from noisy results. - Experience with distributed training (e.g., JAX, PyTorch, FSDP, Megatron) is a plus. - Excellent communication skills. - Deep understanding of data quality principles and best practices: demonstrates willingness to dive deep into data while possessing strong intuition for assessing the quality of datasets and anticipating how different data characteristics will impact model training outcomes. Working Location This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.   FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for a Regional Intelligence Analyst based in Europe. The Europe Regional Intelligence Analyst will be responsible for developing an up-to-date and in-depth regional understanding of the environment in which Nebius operates across Europe, with a focus on countries, national, regional, and local authorities, sites, projects, and stakeholders relevant to the company’s operations and growth plans. The role includes monitoring and analyzing political, regulatory, legal, public, and infrastructure-related developments; assessing community activity and local activism; and identifying trends and changes involving energy, the power grid, environmental matters, planning, and permitting that may affect the company and its existing or planned projects. The Analyst will collect and integrate information from diverse sources and countries into regional assessments, country and site reviews, and decision-focused briefings. The role will support management and internal teams by identifying emerging risks, changes, and opportunities and providing the local, national, and European context required for planning and informed decision-making. Your responsibilities will include: Monitor and analyze political, governmental, regulatory, and legal developments at the national, regional, and local levels across Europe. Monitor changes in policy, legislation, permitting, and planning processes that may affect the company’s operations and existing or planned projects. Assess the local environment surrounding company sites, including community activity, activism, protests, and public sentiment trends. Map and analyze relevant stakeholders, including authorities, elected officials, local organizations, community groups, and professional bodies. Monitor media trends, public narratives, and reputational issues relating to the company, its sites, and its operations across European countries. Analyze developments involving the power grid, energy market, water, infrastructure, and environmental matters that may affect sites and projects. Identify emerging changes, risks, and opportunities of potential significance to the company’s regional operations. Prepare regional assessments, country and site reviews, profiles, alerts, and decision-focused briefings. Provide research support for site and project evaluations, executive visits, meetings, and business activities across Europe. Collaborate with internal teams to align monitoring activities and deliverables with the company’s business and professional needs. Maintain an up-to-date regional intelligence picture and provide ongoing reporting on material developments affecting the company’s sites and projects across Europe. We expect you to have: At least eight years of experience in regional research, commercial or business intelligence, risk analysis, policy research, political and regulatory research, or another relevant professional field. Demonstrated experience researching and analyzing the European environment at the national, regional, and local levels. Strong familiarity with government structures, legislative and regulatory processes, local authorities, and planning and permitting procedures across European countries. Ability to conduct in-depth research using open sources, databases, official documents, public records, legal and regulatory sources, media, and social media. Experience analyzing stakeholders, community activity, local activism, public trends, and reputational issues. Demonstrated ability to integrate information from different countries and sources, identify trends and early signals, and develop clear, well-founded assessments. Experience preparing reviews, assessments, and briefings for management and internal stakeholders. Excellent command of English, including the ability to read complex material and write and present findings to a high professional standard. Ability to work independently, manage multiple assignments, and meet deadlines while adapting to changing priorities. Sound judgment, accuracy, discretion, and the ability to handle sensitive information responsibly. Bachelor’s degree in a relevant field such as political science, international relations, law, public policy, economics, European studies, or a comparable discipline. It will be an added bonus if you have: Previous experience in a research firm, commercial intelligence firm, consulting firm, global company, or international corporate environment. Experience researching infrastructure, energy, the power grid, data centers, technology, or large-scale projects. Familiarity with site-evaluation processes, land use, permitting, environmental regulation, and local government across European countries. Experience supporting market entry, business expansion, or the evaluation of projects and transactions. Professional or academic experience in one or more European countries and direct familiarity with local business and public environments. Experience using artificial intelligence tools, digital research tools, professional databases, and Microsoft Office applications. Proficiency in Spanish, French, Finnish, or Estonian. Competencies & Behavioral Traits Strong research and analytical thinking. Understanding of political, regulatory, and public processes. Ability to integrate information from different sources into a clear regional picture. Ability to identify trends, changes, and early signals. Strong business understanding and the ability to assess the significance of information for the company. Sound judgment and the ability to distinguish between facts, claims, and assessments. Accuracy, thoroughness, and attention to detail. Ability to write and present conclusions clearly and concisely. Independence, initiative, and the ability to manage multiple assignments simultaneously. Ability to work effectively as part of a team and collaborate with internal stakeholders. Flexibility and adaptability to changing priorities and new subject areas. Reliability, personal accountability, and discretion. 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: Germany; London; Munich; Zurich; Berlin Workplace: Hybrid Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. THE ROLE We’re hiring Solutions Engineers to build Synthesia’s pre-sales function for the DACH region. This is a founding role: you’ll be one of the first SEs, shaping the playbook, tooling and best practices as we scale, not following an established model. If you’re someone who is excited by building whilst scaling, we’d love to hear from you. As a Solutions Engineer at Synthesia, you will partner with Account Executives, Customer Success and Product Marketing to run discovery, deliver demos, scope POCs and design the technical solution for each deal. You will be a trusted advisor focused on the value customers get from Synthesia, and you’ll take what you learn in the field back to Product. This is an incredible opportunity to join us as we become a multi-product company for the first time, and continue to scale across DACH. WHAT YOU'LL DO - Co-plan and support discovery calls with your AE to understand customer requirements, technical environment, and business challenges. - Design and execute repeatable demo methodologies that prove Synthesia's business value quickly, whether the customer is deploying Studio at scale, building Roleplay Sessions for skill uplift, or integrating Interactive Avatars into their product. - Build and maintain strong working knowledge of Synthesia's platform capabilities, roadmap, and positioning across all product lines, so you can speak to the use cases that drive value - Deliver demonstrations that speak to customer problems and tell a credible story of why Synthesia is the right solution. - Identify technical objections and integration questions as they come up, working with your AE and the broader ecosystem to find a path forward. - Contribute your assessment of technical fit and opportunity risk to help your AE shape account and deal strategy. - Keep your deal team and manager informed on deal status, timeline, and technical dependencies. - Identify, build relationships with, and actively enable technical champions within customer organizations so they can advocate for Synthesia internally. - Provide technical guidance on platform capabilities, API and SDK integrations, security, compliance topics (SOC 2, GDPR, enterprise identity), and scalability for global deployments, troubleshooting issues and validating integrations with LMS, HCM, and content systems as they surface. - Partner with Enablement to complete certifications, stay current on new releases, and keep your demo and objection-handling skills sharp.   WE’D LOVE TO HEAR FROM YOU IF YOU HAVE - 2+ years of pre-sales, solutions engineering, or customer-facing technical experience in a SaaS environment (or equivalent technical customer-facing experience). - Delivers a strong standard demo aligned to the discovery points and agenda set with the AE, with a solid grasp of core demo technique (e.g., Tell-Show-Tell). - Applies established solution designs and best practices to the customer's use case, working with core ecosystem functions (Product, Customer Success) as the deal requires. - Identifies and surfaces deal risk and next steps based on what the customer tells you, escalating clearly to your AE so it gets actioned. - Working knowledge of MEDDPICC and Command of the Message, and can articulate why Synthesia is a fit for the prospect. - Resourceful: knows how to find the right person or tool internally, and is building their own network across the GTM organization. - Comfortable with the technical fundamentals in at least one area (creation flows, APIs, integrations, security, compliance) and eager to build depth quickly. - Self-motivated and organized, able to manage a growing book of POCs, demos, and customer conversations while hitting deadlines. - Willing to travel for customer discovery and on-site demos as needed. - You like staying ahead of the AI-native learning and enablement space, so you can credibly discuss how customers are shifting from static methods to interactive practice and measurable skill development. - Strong written and spoken communication in English and German   WE'D BE PARTICULARLY EXCITED IF - Like working in a fast pace environment - Can also speak Spanish and or Italian - Based in Munich or London so you can spend time in our offices. This is a hybrid role, with 2-3 days a week in the office.   COMPENSATION We offer a competitive salary, equity and benefits. Your offer will reflect your experience, skills and the scope of the role.

Location: Germany; London; Munich; Zurich; Berlin Workplace: Hybrid Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. The role We’re hiring Senior Solutions Engineers to build Synthesia’s presales function in DACH. This is a founding role: you’ll be one of the first SEs, shaping the playbook, tooling and best practices as we scale, not following an established model. If you’re excited by building while scaling, we’d love to hear from you. As a Solutions Engineer at Synthesia, you will partner with Account Executives, Customer Success and Product Marketing to run discovery, deliver demos, scope POCs and design the technical solution for each deal. You will be a trusted advisor focused on the value customers get from Synthesia, and you’ll take what you learn in the field back to Product. This is an incredible opportunity to join us as we become a multi-product company for the first time and continue to scale across DACH. Sales cycle ownership - Co-plan and execute discovery calls to understand customer requirements, their technical environment and current business challenges. - Design and deliver compelling demonstrations that solve customer problems, quantify the value of solving those problems, and tell a clear, credible story of how Synthesia solves them better than anything else. - Understand and overcome technical objections and integration concerns; identify blockers early and develop solution paths with customers. - Support stakeholder workshops that connect Synthesia to the buyer’s broader technology strategy on complex, multi-stakeholder deals. - Partner with Account Executives to define account and deal strategy, advise on competitive positioning, assess opportunity stage, and forecast your book of business for leadership. Demo excellence - Design and execute repeatable demo methodologies that prove Synthesia’s business value quickly, whether the customer is deploying Studio at scale, designing Roleplay Sessions for skill uplift, or integrating Interactive Avatars into their product. - Identify, build relationships with, and actively empower executive champions within customer organizations so they can advocate for Synthesia internally. - Develop and maintain reusable assets across demo environments, use cases, integration templates, objections and industry playbooks, brought to life directly in Synthesia’s platform. - Support POC and pilot readouts as a business narrative, not a feature tour, learning to bring storytelling and executive presence to the room as you grow into more senior conversations. - Provide technical guidance on platform capabilities, API and SDK integrations, security, compliance topics (SOC 2, GDPR, enterprise identity) and scalability for global deployments. Product and industry expertise - Maintain deep expertise on Synthesia’s platform capabilities across all product lines, roadmap and positioning to highlight value-driving use cases. - Develop deep vertical knowledge, establishing yourself as a subject matter expert and building trust with executive buyers. - Stay ahead of the AI-native learning and enablement space, so you can credibly discuss how customers are shifting from current, static methods to interactive practice and measurable skill development. Ecosystem collaboration - Product: share customer and prospect product and competitive feedback with pre-sales leadership and Product, flagging pain points, missing capabilities and gaps that surface in your deals to help shape the roadmap. - Product Marketing: work with Product Marketing to understand and apply messaging and positioning in your deal cycles, and contribute to reusable assets like demo scripts and competitive battlecards. - Customer Success: brief Customer Success on technical context and champion relationships at handover, so your POCs and pilots convert cleanly into production deployments. - Enablement: review and enhance enablement content based on what works best in preparing team members for client engagements, and deliver and evaluate certification as needed to accelerate understanding in the commercial team. What we’re looking for - 5+ years of pre-sales, solutions engineering or customer-facing technical experience at SaaS companies. - Strong consultative discovery, stakeholder management and communication skills, with the ability to engage credibly with both executive decision-makers (CHRO, CLO, Head of L&D, CTO) and technical audiences (IT, security, developers). - Technical depth in at least one area (creation flows, APIs, integrations such as LMS, HCM, CRM and identity, security, or compliance) and a willingness to learn quickly across domains. - Fluency with sales methodologies such as MEDDPICC and Command of the Message, and comfort translating technical requirements into business value and ROI conversations. - A problem-solving approach built on gathering requirements, asking clarifying questions and adapting solutions to customer needs. - Excellent business and technical presentation skills, in person and remote, and the ability to explain complex AI and integration concepts clearly to both technical and non-technical audiences. - Self-motivated and organized, with the ability to manage multiple POCs, demos and customer conversations simultaneously while meeting deadlines. - A collaborative mindset; you thrive working with AEs, Product, Customer Success and other teams to drive customer and company success. - Product orientation and genuine curiosity about how customers use technology. - Willingness to travel to visit key customers for discovery, executive conversations and on-site demos. We’d be particularly excited if - You can also speak Spanish and/or Italian. - You’re based in Munich, Berlin, Zurich or London, so you can spend time in our offices. This is a hybrid role, with 2+ days a week in the office. Compensation We offer a competitive salary, equity and benefits. Your offer will reflect your experience, skills and the scope of the role.

Location: All Cities Workplace: Remote Mobile Wave Solutions is a professional services company specializing in software development as a service. We are committed to delivering scalable, high-quality software solutions that meet our clients' evolving needs. With a growing team of over 120 engineers and a mission to empower businesses globally, we provide expert teams to deliver robust solutions and drive innovation. ROLE OVERVIEW We're looking for a Site Reliability Engineer to own the health, performance, and delivery of the infrastructure of one of our client. You'll sit at the intersection of engineering, operations, and quality measuring how their systems actually behave, automating away manual work, and making their path from commit to production fast and dependable. This is a hands-on role for a seasoned engineer who treats operations as an engineering problem and sets the bar for others. You'll define what "reliable" means for the systems in concrete, measurable terms, establish the practices the team operates by, and use modern tooling, including AI/AIOps, to monitor, alert, and respond intelligently rather than reactively. As a senior member of the team, you'll also mentor other engineers and help shape our reliability strategy. KEY RESPONSIBILITIES - Own the infrastructure. Build, maintain, and scale the systems our product runs on, with reliability and cost-efficiency as first-class concerns - Measure the non-functional. Define and track SLIs, SLOs, and error budgets for availability, latency, throughput, and scalability. Make system behavior visible and quantifiable to the whole team - Automate relentlessly. Identify and eliminate toil. Replace manual operational work with code, infrastructure-as-code, and self-healing systems - Build a seamless delivery process. Design, maintain, and improve CI/CD pipelines so engineers can ship safely and frequently with fast feedback - Collaborate across functions. Partner closely with software engineers and QA to embed reliability and quality early - through testing strategy, deployment practices, and shared ownership of production - Apply AI to operations. Use AI/AIOps to automate remediation, surface anomalies, reduce alert noise, and improve the signal quality of monitoring, reporting, and on-call - Lead incident response. Drive blameless postmortems and turn incidents into systemic improvements - Set the standard. Define reliability and operational best practices, and mentor engineers across the team to raise the bar QUALIFICATIONS - 5+ years of experience in an SRE, DevOps, or Platform Engineering role, with a track record of owning systems end to end - Strong grasp of reliability engineering fundamentals: SLIs/SLOs, error budgets, and reducing toil - Hands-on experience designing modernising and operating CI/CD pipelines - Solid infrastructure-as-code skills (Terraform / Pulumi / CloudFormation) - Experience with cloud platforms (GCP / AWS / Azure) and container orchestration (Kubernetes / Docker) - Proficiency in at least one programming/scripting language for automation (Python / Go / Bash) - Strong observability experience: metrics, logging, tracing, and alerting (NewRelic, Prometheus / Grafana / Datadog / OpenTelemetry) - Applied experience using AI/AIOps to automate, measure, report, and alert - anomaly detection, intelligent alerting, noise reduction, or automated remediation - A collaborative mindset and comfort working alongside engineers and QA toward shared reliability goals - Demonstrated technical leadership—mentoring engineers, driving cross-team initiatives, and influencing engineering practices YOU WOULD IMPRESS US IF YOU HAVE - Prior experience working with Google Cloud Run - Experience introducing AIOps tooling into an existing observability stack - Background in performance and load testing. - Familiarity with security and compliance practices (SOC 2 / ISO 27001 / GDPR) OUR BENEFITS - Remote Office – Option to work remotely or hybrid - Parking Space – Free parking available - Fun Office Space – Game zone and relaxation area - Health Insurance – Private health insurance, including dental care - Holidays – 5 extra days after your 1st and 5th year with us - Personal Development – Company-sponsored training and development - Employee Referral Programme – Competitive bonus for successful referrals - Social Events – Celebrating success together - Family Insurance – Add insurance coverage for a family member - Multisport Card – Fully covered sports pass

Location: Beijing WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. About WorldQuant BRAIN: BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and provide global opportunities for individuals to participate remotely in this initiative, while they learn quant finance, AI and ML concepts. WorldQuant Brain provides an advanced crowdsourcing platform for external participants to contribute signals, data, and more. The Role: We are seeking an exceptionally talented engineer to join our user success team. The role has two aspects: Troubleshooting user issues: Help address queries raised by our users. These will involve a fairly complex set of aspects including data, tech and signals (alphas) Gather customer feedback and share with our Product, Sales and Marketing teams Backend engineering: Optimization, speed and software quality – including load sequencing Security and application access – including role management Storage and data versioning Web application server side What You’ll Bring: Excellent communication and problem-solving skills Experience with Python and SQL Experience with automated testing tools (e.g. Selenium/ Cypress/ Puppeteer) Familiarity with Unix Familiarity with the quant or finance industry is a plus What We Offer: Competitive and attractive compensation package with clear career road-map – where you feel challenged everyday We offer a strong culture of learning and development: training courses, library, speakers, share and learn events Learn from who sits next to you! Working in WQ you are surrounded by smart and talented people Premium Health Insurance and Employee Assistance Program Generous time-off policy, re-creation sabbatical leave (based on tenure), Trade Union benefits for staff and family Team building activities: Local engagement events – Employee clubs: ping-pong, badminton, tennis, xbox, etc. Annual company trip and occasional global conferences – opportunity to travel and connect with our global teams Happy-hour with tea break, snacks and meals every day in the office! Visit https://www.worldquant.com/brain/ for more information about WorldQuant BRAIN. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid SENIOR ENGINEER, SALESFORCE PLATFORM THE ROLE AND ITS IMPACT Xero's Salesforce platform powers our go-to-market solutions and is increasingly the core infrastructure for our agents. As a senior engineer, you'll spend most of your time in hands-on work: writing and reviewing code, joining design reviews, responding to incidents and building proofs of concept. You'll help shape how the platform is secured, released and operated. Your impact is measured in results. Today the platform runs at 99.95% uptime, with 100% path-to-production compliance, zero Sev 1 or Sev 2 incidents and 150 to 200 deployments a month. You'll help maintain that standard as the platform scales significantly. This role lets you Go Bold by challenging how the platform is built, Go Fast by removing friction to production, Go Further by building things that last and Go Together by lifting capability across every team that depends on you. THE TEAM AND HOW THEY CONNECT The Platform team sits within Customer Platforms, the engineering group behind Xero's go-to-market and customer experience technology. You'll work closely with engineering leaders across Security, Data and AI, and with colleagues across Australia, New Zealand and our offshore partners. THE TEAM IS CURRENTLY WORKING ON - Platform security: access control, Connected Apps governance and vulnerability remediation, setting the standards that make secure the default. - CI/CD and release engineering: championing automation so every engineer building on the platform can ship safely and quickly. - Observability and operational health: growing observability, managing org limits and preventing customer-facing issues before they start. - Agent path-to-production: building a safe route from idea to production for agentic changes, including evaluation baselines, an agent registry and shared standards. This is a new area with no established playbook, so you'll help write it. WHERE AND HOW YOU CAN WORK Based in Melbourne, we encourage one day a week in the office to stay connected with your peers. The pods you support are spread across Australia, New Zealand and offshore, so you'll be comfortable building trust and aligning people asynchronously and in writing. HERE ARE SOME OF THE THINGS WE ARE LOOKING FOR - You bring hands-on Salesforce development depth at enterprise scale, from code and reviews through to production support, with a platform engineering mindset. - Your background includes owning CI/CD pipelines and release engineering across major release cycles, with GitHub, SFDX and test automation experience. - You've secured platforms that other teams depend on, and you've turned post-incident reviews into lasting change. - You can make code and design decisions across multiple teams, and you write RFCs and design docs that build alignment through persuasion rather than authority. - You help senior engineers grow through code review standards, and you use AI tooling fluently while evolving your own practice as the tools change. - You turn business goals into technical plans with Product, and you're comfortable pushing back on unclear scope.

Задачи: — Build RAG pipelines, semantic/vector search, conversational AI, and intelligent assistants. — Develop recommendation, ranking, classification, and predictive ML models. — Own end-to-end ML pipelines from data processing and training to deployment and monitoring. — Build MLOps / GenAIOps workflows, CI/CD, GPU inference, and cloud-native AI infrastructure. — Work with Product and Engineering to measure business impact through KPIs and experiments. — Improve AI system scalability, reliability, cost, governance, and performance. Требования: — 4–5+ years in AI, ML, or Data Science. — Strong Python, SQL, and production ML experience. — Hands-on experience with LLMs, Transformers, embeddings, RAG, and prompt engineering. — Experience with PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex. — Strong knowledge of Docker, Kubernetes, MLflow/W&B, CI/CD, AWS, and Terraform. — Experience with Kafka, ETL pipelines, vector databases, and search systems. — Ability to independently take AI projects from idea to production. Плюсом будет: — Experience with A/B testing, responsible AI, recommendation systems, regulated environments, or team leadership. — Candidate should be able to work on US time schedule. — Good English conversation skill is much much preferred.

Location: Taguig, National Capital Region Workplace: Hybrid Salmon Bank (Rural Bank) Inc., the banking arm of Salmon Group Ltd, is a technology-driven challenger bank in the Philippines operating under a BSP license. We combine the trust of a regulated financial institution with the speed and convenience of a modern banking experience. Here, product, risk, compliance, operations, technology, and customer experience work closely together to build and run a modern bank. We work with fewer layers, close collaboration, and a culture where every voice can make a difference. If you want to build reliable financial systems at speed, take on real operational complexity, and help raise banking standards across the Philippines, come build with us. ABOUT THE ROLE You'll own credit scoring across the full customer lifecycle — from application decisions to behavioral models that drive portfolio profitability. WHAT YOU'LL DO - Build and improve Application and Behavioral Scorecards that drive underwriting and collections decisions across live credit products. - Work within a regulated environment — prepare model documentation and defend modeling decisions to internal governance and external reviewers. - Collaborate with product, analytics, and engineering to translate model outputs into strategy changes and implementation specs. WHAT YOU'LL OWN - Own the full modeling cycle: data exploration, feature design, model build, validation, deployment specs, and post-production monitoring. - Track scorecard quality — AUC, KS, bad rate, stability index — and validate against real portfolio outcomes via NPV and backtesting. - Prepare model documentation and governance artifacts for regulatory review. - Shape credit strategy — your models directly influence approval, pricing, and collection decisions, not just inform them. WHAT MAKES YOU A STRONG FIT - 3+ years of hands-on experience building credit risk models — Application Scorecards and/or Behavioral Scorecards specifically (ECL/IFRS9-only experience does not substitute). - Experience with model audits, documentation, or regulatory review support. - Strong Python (pandas, scikit-learn) and SQL — you build models yourself, not just review others' work. - Experience covering the full lifecycle: data, feature engineering, validation, and production monitoring. WHAT WE OFFER WORK AND OWNERSHIP - Hybrid-first work environment with a modern office in Bonifacio Global City, Manila - Company-provided tools and equipment - Work with an international team combining global fintech experience with deep Philippine market knowledge - Direct access to decision-makers and a real voice in how we build for the Philippine market HEALTH AND TIME OFF - Medical insurance for you and your family - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity leave and up to 14 days of paid paternity leave LEARNING AND TEAM EXPERIENCE - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As of May 2026, Claude authored more than 80% of the code we merge . In September 2026, we merged more than 30,000 changes per day . Writing a change is fast now, and the hard part is knowing what is correct and safe to ship. Platform Acceleration builds the internal tools that close that gap for Anthropic's product engineers, who own the Claude API, our SDKs, and the rest of the Claude Platform. We work like a small product team whose customers are other Anthropic engineers. We're looking for Staff+ engineers with a strong background in backend or infrastructure who care about developer experience and have built tools other engineers rely on. We prefer candidates who can work from our San Francisco office, and we'll also consider candidates based in Seattle. What you'll do Design, build, and operate the tools that help product teams ship faster Own the technical strategy and roadmap for your area, and make sure its hardest problems get solved, by you or through others Define what it means to trust a change, especially changes written by Claude, and build the tooling that holds the bar throughout the software development lifecycle Build agents that take on repetitive engineering work, such as diagnosing failures, fixing broken tests, and running migrations Embed with partner teams to find their biggest sources of friction, validate a solution with them, and turn the fix into a product other teams can adopt Move between building new tools and improving the shared systems that teams already depend on, as priorities shift You might be a good fit if you: Experience building and operating backend services or infrastructure in production, in Go, Python, Rust, or TypeScript Deep experience with developer tooling, CI/CD, test infrastructure, or deployment systems Experience leading large, complex technical projects across teams, from an ambiguous problem to a solution developers adopt Clear written and verbal communication, with experience supporting internal partner teams Interest in Anthropic's mission of building safe, beneficial AI Preferred qualifications: Experience at a startup or on a similarly small team, taking a product from zero to one and talking directly to your users Substantial experience with agents that do engineering or other technical work Experience building widely adopted CLI tools, developer-facing services, GitHub automation, or open source developer tools Experience measuring developer productivity and using the data to decide what to build A point of view on how software engineering changes as agents write more of the code Deadline to apply: None. Applications will be reviewed on a rolling basis. Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Sydney, Australia Riot Games is looking for a Systems Engineer to join the Game Operations team supporting Wild Rift. You will help operate and improve the infrastructure, services, and tools that support reliable live-service operations for the game. This is a hands-on role focused on automation, production support, incident response, observability, data integrity, and continuous improvement. You will work with engineering, platform, data, and operations teams to reduce risk, improve efficiency, and protect player experience. Internal Job Title: Systems Engineer II. Responsibilities: Operate and improve the production infrastructure, cloud services, data platforms, and operational systems that support Wild Rift. Build automation and tooling for deployments, migrations, validation, capacity management, and routine operations. Troubleshoot distributed systems and participate in incident response, root-cause analysis, and follow-up improvements. Support releases and operational changes while maintaining service continuity and data integrity. Improve monitoring, alerting, dashboards, runbooks, and other operational documentation. Identify opportunities to improve reliability, scalability, capacity, and infrastructure cost. Collaborate with global technical partners and provide day-to-day support and guidance to operations teams. Required Qualifications: BS in Computer Science or equivalent experience, RHCE, RHCSA. 2+ years of industry experience or an advanced degree. Professional experience in systems engineering, infrastructure engineering, site reliability engineering, software engineering, or a related field. Experience supporting production services, preferably in a high-availability or live-service environment. Working knowledge of Linux, networking, cloud infrastructure, storage, compute, and distributed systems. Experience with AWS Cloud and/or Tencent Cloud. Ability to write maintainable automation or production code in Python, Go, Java, or a comparable language. Working knowledge of SQL and data-platform concepts, including data movement, replication, validation, and operational integrity. Familiarity with Git-based configuration management, infrastructure as code, or deployment automation. Experience with monitoring, alerting, incident response, and root-cause analysis. Strong communication, collaboration, and documentation skills. Professional fluency in Mandarin and English, with the ability to work across time zones and technical disciplines. Desired Qualifications: Experience with distributed data technologies, object storage, Kubernetes, Redis, OpenSearch/Elasticsearch, or similar platforms. Experience supporting high-volume online services, game telemetry, or player data. Experience with capacity planning, cloud cost optimization, or infrastructure decommissioning. Experience working in a multi-region or follow-the-sun operations environment. Interest in games and the relationship between technical systems and player experience. Our Perks: At Riot we strongly believe in work / life balance, and we encourage that with our open paid time off policy, paid parental leave (for both primary and secondary carers) and flexible work schedules to fit your lifestyle. We also believe that work should be fun, we have co-op gaming areas, a play fund so you can broaden and deepen your knowledge of players and community, and all the snacks you would ever need to power through your day (even healthy snacks!). And that’s not all we offer, there’s also: Medical Insurance that covers you and your dependents Employee Assistance Program Wellness fund Donation matching of time and money to registered charities Learning and Development opportunities Riot Games fosters a player and workplace experience that values teamwork embodied by the Summoner's Code and Community Code . Our culture embraces differences as a strength, and our values are the guiding principles for how we approach work. We are committed to putting diversity and inclusion (D&I) at the center of everything we do and promoting a fair and collaborative culture where Rioters treat one another with dignity and respect. We encourage you to read more about our value of thriving together and our ongoing work to build the most inclusive company in Gaming .

Location: Bengaluru, India We are seeking an experienced NetSuite Tech Lead to support a major client project. This role requires strong hands-on development expertise combined with technical leadership, solution ownership, and delivery coordination. The ideal candidate will have deep knowledge of the full Software Development Life Cycle (SDLC), including requirements analysis, solution design, documentation, implementation, verification, and ongoing support. You will help drive technical decisions, guide implementation best practices, and leverage native NetSuite functionality to deliver scalable, efficient, and maintainable solutions. This position is intended for Hyderabad-based candidates who are available to work from the office. Lead NetSuite technical delivery across the full SDLC, including requirements analysis, design, documentation, implementation, testing, and support Own and guide technical solution design for NetSuite enhancements and integrations Maximize the use of native NetSuite functionality to build high-quality and performant solutions Support and mentor developers, ensuring adherence to best practices and delivery standards Collaborate closely with stakeholders, implementation teams, and senior leadership to improve operational efficiency Drive modernization of legacy NetSuite code and scripts Oversee API development, troubleshooting, and performance optimization Support automated deployment and release management for NetSuite objects, scripts, and configurations Contribute to workflow automation, business process improvements, and technical governance Strong experience as a NetSuite Developer, NetSuite Tech Lead, or in a similar role with hands-on technical ownership. Deep knowledge of REST APIs, including custom API development within NetSuite, along with the ability to troubleshoot and optimize API performance. Solid expertise with SuiteScript 1.0 and 2.0, SuiteTalk, SuiteCloud platform components, SuiteCloud CLI, and SDF. Experience using GitHub or similar version control systems for NetSuite development and deployment. Proven experience with automated deployment of NetSuite objects, scripts, and configurations. Strong ability to refactor and modernize legacy codebases, including migration from SuiteScript 1.0 to 2.0+. Experience mentoring developers or leading technical delivery streams Deep understanding of Order-to-Cash processes and experience customizing and automating NetSuite workflows. Experience with Revenue Recognition processes and automation Familiarity with NetSuite Advanced Revenue Management (ARM), including revenue arrangements and revenue plans Understanding of integrations with eCommerce platforms such as BigCommerce, Shopify, Magento Experience working in enterprise transformation or finance-related environments

Location: Bengaluru, India We are looking for a DevOps Engineer who will focus on cloud infrastructure automation, CI CD pipeline management, and platform stability. You will work on a cloud based platform that supports reliable, secure, and scalable delivery of software systems across multiple environments. This role combines hands on engineering with close collaboration across development and quality teams. The project focuses on building and operating a shared cloud platform that enables teams to deploy and run applications in a consistent and automated way. The platform supports continuous delivery, infrastructure automation, and operational stability across cloud environments. Design, build, and maintain scalable cloud infrastructure using Infrastructure as Code practices. Develop, maintain, and improve CI CD pipelines to support secure and efficient software delivery. Deploy and operate workloads in AWS and Azure, including networking, storage, and security configurations. Implement monitoring, logging, and alerting solutions to ensure platform reliability and performance. Perform root cause analysis and troubleshooting for infrastructure and CI CD pipeline issues. Collaborate with product owners, developers, and QA specialists to translate platform and delivery needs into technical solutions. Contribute to platform stability, standardization, and continuous improvement initiatives. Experience working with Azure and Terraform in a production environment. Hands on experience with CloudFormation for infrastructure automation. Experience using Docker for containerized applications. Practical experience with GitHub and GitHub Actions, including branching strategies and pull request workflows. Experience designing or supporting CI CD pipelines. Understanding of cloud networking, security, and operational best practices. Ability to document solutions and communicate technical decisions clearly in English. Experience working with Kubernetes. Programming or scripting experience with Python, Go, Java, Shell, or PowerShell. Experience with monitoring and observability tools such as Splunk, Datadog, Prometheus, or Grafana.

Location: Belgrade, Serbia; Cluj-Napoca, Romania; Dnipro, Ukraine; Kharkiv, Ukraine; Krakow, Poland; Kyiv, Ukraine; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Lviv, Ukraine; Monterrey, Mexico; Montevideo, Uruguay; Odesa, Ukraine; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.BG, Bulgaria; Remote.CO, Colombia; Remote.GE, Georgia; Remote.PL, Poland; Riga, Latvia; Rosario, Remote.LATAM-country; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland; Yerevan, Armenia We are looking for a Senior Data/Analytics Engineer to work at the intersection of data engineering and business intelligence. In this role, you will own dbt models in Snowflake from design through deployment and build Tableau reporting solutions on top of them. You will have a direct impact on how portfolio, client, and financial data is modeled, governed, and presented across the organization. This position requires availability aligned with the EST time zone or at least a four hour overlap with EST working hours. The project involves the development and expansion of a centralized, scalable data ecosystem. Having successfully ingested the initial data source, the team is now moving into a high-growth phase to integrate multiple high-value financial and operational data streams. The goal is to provide C-level executives and advisors with a unified, reliable reporting layer for strategic decision-making. Design, develop, and maintain dbt Core projects, including staging, intermediate, and mart layers Build incremental models, snapshots, macros, reusable Jinja components, and testing frameworks Ensure data quality through testing, documentation, lineage management, and version controlled development practices Design dimensional data models and reporting structures for portfolio, client, and financial analytics Develop and maintain data ingestion pipelines into Snowflake, including API based integrations Orchestrate and monitor data workflows using Prefect Integrate and standardize data from third party platforms such as Addepar, NetSuite, Salesforce, Morningstar, and UKG through Workato Create and maintain Tableau dashboards, published data sources, and reporting assets Optimize Snowflake performance and cost efficiency through query tuning, warehouse management, and data architecture improvements Collaborate with business stakeholders to translate reporting and analytics requirements into scalable data solutions 5+ years of experience in Data Engineering or Analytics Engineering Hands on experience with dbt Core in production environments Experience designing data models, incremental strategies, snapshots, macros, Jinja templates, tests, and documentation in dbt Strong experience with Snowflake, including performance optimization and cost management Advanced SQL skills Strong understanding of dimensional modeling and star schema design Hands on experience building Tableau dashboards and data sources Experience with calculated fields, Level of Detail expressions, extracts, live connections, and dashboard performance optimization Experience with ETL and ELT architectures and API based data ingestion Experience with workflow orchestration tools such as Prefect or Apache Airflow Understanding of financial services, wealth management, investment management, or portfolio data structures dbt Analytics Engineering Certification Experience within wealth management or investment management environments Experience with Workato or comparable integration platforms Experience working with Addepar, Morningstar, or Bloomberg data Python development experience for data engineering workflows Experience implementing CI/CD practices for dbt projects using GitHub Actions or similar tools Knowledge of regulatory and privacy requirements related to financial data management and reporting

Location: Argentina Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located. Out client is an online coaching and digital business consulting company founded by Richard Yu, helping entrepreneurs and coaches scale their online businesses through high-ticket coaching and digital products. The company is looking for a highly creative, performance-driven Ads Creative Strategist to develop high-converting ad concepts, hooks, and angles for Meta ads, with a focus on scaling offers through cold traffic. This is a hands-on, creation-focused role centered on producing high volumes of winning ad creatives. Responsibilities Create ad concepts, hooks and angles aligned to each offer Write complete ad copy for Meta, YouTube, Instagram Reels and any other paid channel we deploy Work with our editors and designers to turn your copy into ads that convert. If you can produce ads entirely yourself, better still Hold message-market consistency from ad through VSL, page and checkout Take an ad from copy through to finished asset: writing it, directing the actor or AI avatar, briefing the editors, and giving quality control feedback on what comes back Own the conversion narrative across the whole funnel Work with the Head of Marketing to iterate on performance data Requirements A track record of ads that scaled a single offer past $1,000,000 a month in spend, roughly $30,000 to $40,000 a day. Meta preferred, strong results on other platforms welcome. By an offer we mean one product on a funnel sold from a landing page, with or without a VSL, with or without a sales team behind it Real direct-response experience across offers, VSLs and ads. Not brand work A record of inventing winning concepts, not only rewriting what already exists Strong grasp of cold traffic psychology, particularly on low-ticket offers Copy that is simple, clear, emotionally sharp and scalable A preference for deep work over meetings Scaled low-ticket offers is a plus Built faceless funnels is a plus Worked in information, education or subscription businesses in the business opportunity space is a plus Benefits Fully remote Real ownership over offers and messaging A high-performance team with a no-nonsense, get-it-done attitude A genuine path to a C-suite level partner position Travel with the executive team to two or three global retreats a year. Last year we did Dubai, Egypt, China and Puerto Rico. Optional, but a bonus if you like travel Remote with flexible hours. Deep, creative thinking is the primary function of this role, so we protect it Work that changes outcomes for beginners and nine-to-fivers trying to build something of their own