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

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Network Security team's remit is to secure Anthropic's networks across our cloud providers and our bare-metal AI data centers. We own egress and ingress controls, network segmentation, private connectivity between environments, and encryption in transit. We design, build, and maintain these controls, and we write the software that deploys, enforces, and monitors them. These controls protect our model weights, customer data, and internal assets. We are hiring an Engineering Manager to lead this team. Anthropic is adding data center sites and cloud regions quickly, and the team will grow with that work. In this role you will set the team's charter, practices, and priorities. You will partner with our infrastructure networking, cluster, and data center teams so security is built into network designs from the start. The goal is secure-by-default networking that lets research and product teams use compute in any environment without slowing them down. Key responsibilities We're hiring an Engineering Manager to lead a Network Security Engineering team in executing across critical initiatives including, but not limited to: Own the network security roadmap: threat model from the management plane through Kubernetes and cloud interconnects, decide what to build, and deliver it Be able to reason about the design and implementation of default-deny ingress and egress, segmentation between research, training, and production, private connectivity, and mTLS/service identity across every environment Ship these as secure-by-default primitives so new clusters, VPCs, and data center links inherit the right boundaries without security on the critical path Join networking, cluster, and data center teams at design time so topology, routing, and firewall decisions carry our invariants from day one Build visibility into traffic and boundary drift, with detection for exfiltration paths and automated remediation where safe Own the network security evidence for our security goals and compliance: the invariants hold, and you can prove it Hire, grow, and retain senior security software engineers; own their career development, and set the practices the team runs on as it scales Minimum Requirements: 8+ years of front line management experience Low ego, high empathy; has built diverse teams and has former reports who would work for them again Experience managing infrastructure or security engineering teams, including hiring, developing, and managing senior and staff engineers Has grown engineers into staff or lead roles, and has made the call to move someone out when coaching didn't work Kept a team intact and delivering through reorgs, charter changes, or leadership turnover Experience owning a security or infrastructure domain end to end: setting multi-year strategy, delivering year-long cross-organizational work with little direction, and answering to executives for its risk and tradeoffs Scaled a team and its systems together through hypergrowth, where last quarter's architecture was already too small Hands-on network security engineering in cloud and/or on-prem environments: VPC design, interconnects, private service connectivity, cloud firewall policy, egress control, physical segmentation, and out-of-band/management-plane security Threat modeling and risk assessment for networked systems, with the judgment to tell which controls reduce risk and which just look good on a diagram Secured Kubernetes networking at scale, or worked in high-assurance environments where controls had to be evidenced, not just deployed Preferred Qualifications: Built or rebuilt a hiring loop and held the bar while adding headcount quickly Exposure to large-scale distributed training and what it demands of a network Solved end-to-end networking problems directly with internal users, cloud account teams, and hardware or colo vendors Has taken infrastructure from zero to one and then to maturity: built the first version where nothing existed, then run and hardened it into a system other teams depend on at production-network reliability Pragmatic and steady: cares about unblocking research and product as much as a clean architecture, and brings patience and judgment to opinionated senior engineers Clear and persuasive communicator in writing and in person Familiar with AI security and safety concepts The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Berlin, Germany; London, England About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. What you’ll be doing As part of Wolt’s Platform department (Core Group), you’ll help improve and automate operations for our storage access platform - our real time database abstraction layer solution designed with scale and resiliency in mind . The product you will build enforces best practices by design, abstracts database infrastructure, and supports Multi-Region architecture through data sharding and replication. You join a team of highly skilled engineers in designing, building and optimizing this platform and ensuring smooth developer onboarding, constant improvement and optimization. As an engineer on the Storage access platform team, you’ll work on platform features such as UI for developer teams, storage abstraction layer, database automation, client SDK and proxy, Change Data Capture pipelines, caching and ephemeral storage, Hot & Cold storage management and more. Our humble expectations You’ll be a great fit for this role if you have the following skills and experience: A strong developer-to-developer mindset, with a genuine enjoyment of building for internal customers and treating other engineers as your primary users. Adaptability and strong motivation for working with distributed systems. A data-driven approach to decision-making and a collaborative mindset, with the ability to navigate disagreements constructively and deliver consistently. Autonomy in dynamic, fast-paced environments with frequent change. A product- and platform-oriented approach to engineering challenges. Excellent communication skills, with the ability to engage effectively with stakeholders and cross-functional teams. A collaborative spirit and experience contributing to diverse and inclusive work environments. Technical proficiencies: Expertise in NoSQL databases, particularly Cassandra or DynamoDB. Experience with large-scale distributed systems, emphasizing both velocity and scalability. Familiarity with SRE principles; however, a background in Backend Development is essential. Practical knowledge of Kubernetes, including EKS, as an end user. You don’t need to tick every box, but if you see yourself in many of these points, we’d love to hear from you! What we offer At Wolt, we’re committed to building an environment where engineers can make an impact while enjoying meaningful challenges. As a member of the the team you’ll enjoy: Working on solutions that support millions of users Solving complex problems in performance, reliability and automation A collaborative and inclusive culture that supports your professional and personal well-being We also offer flexible work arrangements, competitive compensation, and ongoing learning opportunities to help you thrive. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: London Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Building AI agents that can assist with any kind of enterprise work is a challenging, open-ended problem. One key piece of solving it is replicating real work environments as realistically as possible - filling them with hard tasks to solve, creating plausible input data, and defining clear rewards for completing the work the right way. We build many of these reinforcement learning (RL) environments, then drop our agents into them to evaluate or train them. In this role, you are responsible for creating these RL environments, running AI agents inside them, and improving both the agents and the environments in the process. The results reach customers, whose feedback feeds back in - and the agent/environment improvement loop continues. Key Responsibilities: There are many open problems in this space. As a Member of Technical Staff, RL Environments, you will: - Build new RL environments targeting different agentic capabilities and industry areas - Train and evaluate agents in those environments - Make all the pieces work together: tasks, data, tool implementations, and verifiers - Work across modeling and product to identify gaps in agent performance, and improve both the agents and the environments - Work with external vendors to create high-quality, expert-built RL environments, and build tools to ensure high task, data, and verifier quality - Automate the discovery of model capability gaps, and systematically measure agent performance during evals and training Qualifications: You may be a good fit if: - You have engineered agents and optimized them for specific industry use cases - You have spent dozens of hours reviewing agent trajectories to pinpoint exact failure points and fix them with model training or harness engineering - You obsess over measuring agentic capabilities and turning that into a repeatable process - You have had many debates about what a good outcome from an AI agent should look like, you translated that into verifier implementations and tuned the reward designs - You have designed and run annotation workflows to surface insights into agent performance and verify data quality - You have built synthetic data pipelines to scale eval and training efforts - You use agents yourself in your daily work, and have stories about how you improved your setup to 10x your productivity - A plus: you have experience with training with RL: scaling, troubleshooting and tuning the environments If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.   FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC 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 Join Anthropic's Customer Success team in a high-impact role driving AI adoption across our Industry segment. As an AI Outcomes Manager, GSI, you'll be the strategic partner and a trusted advisor to our most complex customers with a portfolio spanning Systems Integrators—helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code. You'll work with organizations transforming their businesses with AI technology. Developing genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. Responsibilities: Build trusting, strategic relationships with key customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion Become an expert in Anthropic's products across API, Claude Code and Claude for Enterprise, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of the customer and their industry vertical to proactively drive usage planning, understanding current and future consumption/adoption and how it creates realized value for the customer Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments Serve as the customer's thought partner, enhancing their knowledge of Claude products by socializing Anthropic's product roadmap, driving awareness on new products and engaging Product PMs Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment Identify potential use cases and lines of business not currently onboarded, partnering with customers and Sales to discover new applications for Claude across different departments, teams, and workflows Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic Develop scalable engagement strategies and playbooks for your Industry portfolio, balancing high-touch strategic accounts with efficient coverage models to maximize impact across all customers You may be a good fit if you have: 6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering Experience working with enterprises in Systems Integrator industries Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Strategic mindset to identify growth opportunities and translate them into actionable expansion plans Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Passion for AI and interest in responsible development of advanced systems A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality—you're a true team player 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: $200,000 — $265,000 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. 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: San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC 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 Join Anthropic's Customer Success team as an AI Outcome Manager in a high-impact role driving AI adoption across our Financial Services segment. As an AI Outcome Manager for FSI, you'll be the strategic partner and a trusted advisor to our most complex customers with a portfolio spanning Banking, Insurance, Asset & Wealth Management, and Data Providers  — helping them harness the full potential of all our Claude capabilities - Claude Enterprise, Claude Code, and API. You'll work with organizations across diverse sub-segments that are transforming their businesses with AI technology. Developing genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves. Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business. Responsibilities: Build trusting, strategic relationships with key customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion Become an expert in Anthropic's products across API, Claude Code and Claude for Enterprise, understanding the technical nuances and best practices for each to guide customers to the right solutions Leverage your deep knowledge of the customer and their industry vertical to proactively drive usage planning, understanding current and future consumption/adoption and how it creates realized value for the customer Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments Serve as the customer's thought partner, enhancing their knowledge of Claude products by socializing Anthropic's product roadmap, driving awareness on new products and engaging Product PMs Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment Identify potential use cases and lines of business not currently onboarded, partnering with customers and Sales to discover new applications for Claude across different departments, teams, and workflows Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic Develop scalable engagement strategies and playbooks for your Industry portfolio, balancing high-touch strategic accounts with efficient coverage models to maximize impact across all customers You may be a good fit if you have: 6+ years of experience in Customer Success, Technical Account Management, or Solutions Engineering Experience working with enterprises in Financial Services Deep understanding of FSI regulatory, risk, and compliance needs Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns across a set of diverse stakeholders—from developers and product managers to executives and end users Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each Strategic mindset to identify growth opportunities and translate them into actionable expansion plans Proven track record managing a portfolio of accounts while maintaining strong relationships and driving measurable outcomes Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs Passion for AI and interest in responsible development of advanced systems A knack for bringing order to chaos and an enthusiastic "roll up your sleeves" mentality—you're a true team player 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: $200,000 — $265,000 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. 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: Georgia; Armenia; Serbia; Bangkok; Kyrgyzstan; Kazakhstan; Uzbekistan; Da Nang Workplace: Remote Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from top-tier investors. Here, you get real ownership from day one, high standards, and direct communication. You'll work alongside a team that combines deep local knowledge and experience scaling regulated financial companies from scratch. If you want to solve complex problems at scale and directly impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. ABOUT THE ROLE You'll build and own Salmon's Frontline Employees Database — the internal system that runs HR and operational processes for around 4,000 frontline employees. WHAT YOU'LL DO - Start with Frontline DB, which brings together employee and candidate profiles, access and account data, time-off information, shift planning, and selected operational results — with a backlog of initiatives across development, integrations, data mapping, documentation, and process improvement. - Own solutions end to end: dig into the business need, clarify requirements with stakeholders, propose a practical approach, and turn it into a working MVP. - Work directly with HR, Operations, People Partners, and Support, and over time extend scope into integrations with HiBob, Ashby, and other internal systems. WHAT YOU'LL OWN - Develop and improve PostgreSQL data structures for custom internal solutions. - Design, build, and maintain automation and integration workflows in n8n. - Build internal applications, forms, and user interfaces in Retool. - Integrate HR and enterprise systems through REST APIs, webhooks, and other integration methods, with custom logic in Python and/or JavaScript. - Test, troubleshoot, document, and maintain what you build — and handle internal support requests for existing tools and workflows (about 20% of the role). - Grow MVP solutions into reliable internal products as processes and needs evolve. WHAT MAKES YOU A STRONG FIT - Confident SQL skills and experience with relational databases — you can query, validate, and interpret data independently. - Hands-on experience with n8n, Make, or another low-code automation platform. - Experience with Retool or another platform for building internal applications and forms. - Working knowledge of Python and/or JavaScript for scripting and automation. - Understanding of REST APIs, webhooks, and common integration patterns, plus a basic grasp of testing, debugging, and error handling. - A proactive working style — you read incomplete requirements, make reasonable technical decisions independently, and know when to escalate — with good English for working with international stakeholders. WHAT WE OFFER Build what's next in Southeast Asian fintech. OWNERSHIP AND FLEXIBILITY - Stock option plan — four-year vesting with a 25% cliff after the first year - Hybrid-first, with fully remote work available for eligible roles and core collaboration hours from 12:00 to 19:00 Manila time (UTC+8) - Company-provided tools and equipment - Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene HEALTH AND TIME OFF - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity and paternity leave for employees relocating to Manila RELOCATION AND FAMILY SUPPORT - Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics - Reimbursement of eligible pet relocation expenses - USD 2,500 per year for flights home - Baby and family stipends for employees relocating to Manila: USD 1,000 per month for each child under two and USD 500 per month for each child aged two to 18 GROWTH AND TEAM EXPERIENCE - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia Considering a move to Manila? See what life with Salmon looks like https://www.youtube.com/watch?v=nYQLKhuZHIE&t=34s

Location: New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude serves millions of individual users alongside enterprise clients. Safeguards Engineering develops the foundational infrastructure that ensures its safe use: robust access controls, active abuse detection, real-time probes and classifiers within the inference pipeline, offline monitoring for review, and the underlying systems powering it all. Operating at scale and velocity, we continuously adapt to technology whose capabilities and risks evolve weekly. The Safeguards Data team owns the data lifecycle for Safeguards—routing user data and safety metadata from online systems into offline storage and enabling access for downstream teams. Our goal is to provide privacy-safe access to sensitive data for approved uses while ensuring performance, reliability, and minimal blast radius. We prioritize security by design, embedding controls directly into systems operating across AWS, GCP, Azure, and customer-managed environments. This is a systems engineering position within a small, newly established team. Rather than managing an existing backlog, you will have the autonomy to own a problem domain, establish its technical vision, and shape the team's trajectory. Key responsibilities Design, build, and operate the stores, pipelines, schemas, and APIs that Safeguards' detection, evaluation, investigation, and review systems read from. Build privacy-safe interfaces that allow ML training, evaluation, and investigation workflows to utilize sensitive data without requiring broad access to raw records, ensuring access is tied to purpose and built-in lineage. Scale the distributed storage, ingestion, and processing systems operated by Safeguards, maintaining cost efficiency, reliability, and portability across deployment environments. Collaborate with investigators, researchers, legal, privacy, and security teams to translate operational requirements into functional mechanisms and systems for safe data utilization. Uphold a high operational bar by participating in the on-call rotation, leading incident reviews, and continuously reducing manual operational overhead. Lead through technical design by authoring foundational proposals and conducting cross-team architectural reviews. Minimum qualifications Have strong systems fundamentals (processes, threads, RPC, storage, and how systems fail) and have built and operated large-scale, fault-tolerant distributed systems Have built and operated systems that handle sensitive or high-value data, with access, privacy, retention and security controls designed in from the start Have a track record of building platforms or internal tooling that other teams widely adopt Have led the technical design of projects that span several engineers or teams Learn quickly and adapt: you're comfortable with ambiguity, a fast pace, and systems or languages you haven't used before Care about the impact of your work and about making AI safe, use good judgment about what matters most, and can explain technical trade-offs to non-technical partners Preferred qualifications Proficiency in one or more systems languages (e.g., C, C++, Rust, Go) 8+ years of experience as a software engineer, and a Bachelor's degree in Computer Science, Software Engineering or comparable professional experience Experience building data infrastructure for ML: training datasets, offline batch inference or evaluation Experience with data governance requirements in a regulated or high-sensitivity domain Fluency with agentic coding tools such as Claude Code The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: 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 Anthropic's consulting and systems integration partners now sell and deliver Claude work at growing volume, and selling alongside partners is working. What matters next is delivery: whether the partner completes the work, whether the customer's Claude usage grows and holds, and whether the outcome is good enough that the customer asks for that partner again. The Partner Success Lead owns that outcome. You will hold a book of in-flight customer engagements across a set of managed partners in North America. From the day our Partner Delivery program matches a customer engagement to a partner in your book, you own it to a completed outcome: the work finishes on scope, the customer's Claude usage grows, and a stalled engagement gets diagnosed and unblocked before the customer disengages. You wake up every day on one question: what is each partner in my book doing, and is the work getting done. Key responsibilities: Own every customer engagement in your book from partner match to completed outcome. Know the state of each one every week: scope, timeline, blockers, and the customer's Claude usage trend. Run the weekly delivery review across your book, and bring stalled or at-risk engagements to the weekly at-risk account review with a diagnosis, an owner, and a specific ask rather than a status list. Unblocking. Partner capacity, scope creep, customer readiness, product questions, deal-registration conflicts, and customer dissatisfaction with partner work: get each issue to the right internal team and stay on it through resolution. Own delivery quality and consumption across your book. Track engagements completed on time, time from match to completion, delivered consumption and weekly active use on the customer accounts your partners serve, and the accounts trending toward at-risk. Build senior relationships with each managed partner's practice and delivery leadership. Together with the Partner Account Manager and other Anthropic counterparts, establish the executive-level trust that lets you ask a partner to restaff, escalate, or invest — and be taken seriously — when an engagement needs it. Build each partner's Claude practice as the compounding work: certified bench depth, one repeatable offering in a chosen industry lane, and a published customer story from each completed engagement, so the next engagement needs less from you. Turn what works into methodology. Convert the moves you prove in your book into named, reusable best practices — engagement review packs, unblocking plays, practice-building guides — written clearly enough to be shared at scale across partners, the Partner Success team, and the contract delivery team running the same loop. Run the quarterly practice review with each managed partner's alliance and delivery leads: joint goals on completed customer engagements, customer adoption, certified practitioners, references, and industry positioning. Present and persuade across audiences. Deliver partner executive briefings, practitioner enablement sessions, and internal reviews with equal command — this role is regularly the voice of Partner Success in front of a partner's leadership, a delivery team, a customer, or Anthropic's own leadership. Steward funding requests from partners in your book. Recommend for or against co-investment and program funding requests against a stated outcome, and reconcile against milestones. The bar is outcomes, not consultant hours. Work the handoffs cleanly: from Partner Sales when a partner deal closes, and from the Partner Delivery program when an engagement is matched to a partner in your book. Coordinate with the Partner Account Manager on any strategic partner that has one, with Customer Success Managers on customer-side account health, and with Anthropic's direct sales field on joint accounts. Instrument your book and know its numbers: engagements in flight and completed, stall rate and days to unblock, delivered consumption per partner, certified practitioner counts, and partner health trajectory. Run your book Claude-first. Telemetry drafts the diagnosis; you validate it and act. Claude drafts your review packs, status notes, and escalation briefs; you own the judgment, the exceptions, and the unblocking. Feed what you see in the field back into the packages, playbooks, tier rules, and health rubric the team runs on. Minimum qualifications: Experience owning a high-volume book of concurrent customer engagements, projects, or accounts (roughly 10 to 30 at a time) to completed outcomes, in a partner success, customer success, delivery management, or technical account management role. Ability and appetite to build structure, clarity, and programmatic motions out of in-flight work, while delivering engagement by engagement. You have written something down — a review format, a checklist, a play — that others ran without you, and you want to do more of that; growing that into the operating playbook a wider team runs is the senior end of this role, not the entry bar. This role scales by what you write down, not by added hours. Track record of a number tied to completed work and customer behavior (on-time delivery, adoption, retention, consumption, expansion) rather than contract signature, and an operating rhythm you built to hit it. Judgment on delivery quality: you can review a partner's engagement plan or scope and tell whether it will finish on time and produce usage, and you ask the follow-up question that surfaces the real risk. Escalation and unblocking judgment across a matrix (partner, customer, direct sales, customer success, product): you know which stall belongs to whom, you get help fast, and you stay engaged to resolution. A convincing speaker and presenter to all kinds of audiences: partner executives, delivery practitioners, customers, and internal leadership. You can carry a quarterly practice review, an enablement session, and an executive escalation in the same week and land each one. Deep understanding of how customer success works in a usage-based business; you have held a number tied to customer behavior and can read a consumption trend and act on it. Enough technical fluency to be credible in a delivery review. You do not need to write code, but you can follow a partner architect's walkthrough of a real Claude engagement and ask the substantive second question. Active daily use of Claude or another large language model as part of how you work: preparing reviews, drafting account plans, and analyzing your book. We will ask you to walk us through a recent deliverable. Preferred qualifications: 5 to 8 years working with consulting and systems integration partners, or in delivery-facing customer success at a software company, cloud platform, or partner-led business. Direct experience with systems integrators (global firms such as Accenture, Deloitte, Capgemini, Infosys, TCS, or Wipro, or regional and boutique firms) and an understanding of how their delivery practices are staffed and run. Experience running at-risk or red account reviews and turning stalled work around. Experience anchoring a surge team: setting the playbook and the review pack that a group of contract or offshore delivery coordinators ran, and holding the quality bar across them. Depth in a specific industry vertical (financial services, healthcare, public sector, retail, or manufacturing) where you have carried a book of partners or customers. Experience stewarding co-investment funding or market development funding against specific outcomes, with formed opinions about what works and what does not. Experience running quarterly business reviews with consulting firm practice leads, and a sense of what makes them productive rather than ceremonial. Experience on a new team where the operating model was being written while you ran the book, and you shipped both. 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: $215,000 — $300,000 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. 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: Dallas, Texas Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: The Senior Mechanical Engineer, Data Center Operations Engineering & Reliability provides full-lifecycle mechanical engineering support across the data center portfolio, from site design and construction through commissioning, turnover, and enduring operations. This role serves as an operations-focused technical owner for mechanical infrastructure, ensuring systems are designed, built, commissioned, maintained, and operated in a way that protects uptime, preserves design intent, supports redundancy models, and improves long-term asset reliability. The role partners with site operations, design and construction, commissioning, controls/BMS, vendors, OEMs, finance, and enterprise reliability leadership to translate design decisions and construction outcomes into safe, maintainable, and reliable operations. What You’ll Do: This position supports the enterprise reliability strategy, maintenance governance, asset lifecycle planning, engineering standards, RCA discipline, technical escalation model, commissioning lessons learned, and continuous improvement objectives owned by the VP, Operational Reliability & Engineering. Key Responsibilities 1. Site Design and Pre-Construction Support Provide mechanical engineering input during site selection, concept design, schematic design, design development, and construction document reviews. Review mechanical design packages for operational readiness, maintainability, service access, system redundancy, capacity, resiliency, and preservation of design intent. Evaluate mechanical system designs, including chilled water systems, air-cooled and water-cooled chillers, pumps, cooling towers, CRAH/CRAC units, heat exchangers, economizers, valves, piping, filtration, humidification, water treatment systems, and supporting infrastructure. Identify design risks that could create future operational issues, single points of failure, maintenance access constraints, reliability gaps, or lifecycle cost exposure. Participate in constructability reviews, value engineering discussions, submittal reviews, RFI resolution, equipment selection reviews, and design standard updates. Partner with design and construction teams to ensure mechanical systems align with enterprise standards, OEM requirements, warranty protections, and long-term operating expectations. 2. Construction, Commissioning, Turnover, and Operational Readiness Support construction-phase technical reviews to ensure installed mechanical systems remain aligned with approved design intent, redundancy models, sequence requirements, and operating requirements. Review and provide input on commissioning plans, functional performance tests, integrated systems tests, failure-mode tests, and sequence-of-operations validation. Validate that mechanical alarms, controls sequences, set points, trends, and BMS visibility support safe and reliable operations. Ensure turnover packages include complete O&M manuals, as-built drawings, asset data, warranty information, spare parts requirements, PM tasks, training materials, and vendor service requirements. Confirm site operations teams are prepared to operate, maintain, and troubleshoot mechanical systems before handoff to enduring operations. Capture construction and commissioning lessons learned and incorporate them into standards, operating procedures, maintenance programs, and future designs. 3. Enduring Operations and Reliability Engineering Serve as a mechanical technical escalation point for site operations during incidents, abnormal operating conditions, environmental excursions, equipment failures, and reliability concerns. Analyze mechanical system performance trends, including temperature, humidity, flow, pressure, valve position, pump performance, chiller efficiency, economizer operation, and controls stability. Lead or support root cause analysis for mechanical incidents, near misses, recurring alarms, capacity constraints, and equipment failures. Develop corrective and preventive actions that eliminate repeat failure modes and reduce operational risk. Partner with controls/BMS teams to improve alarm rationalization, monitoring, trending, sequence performance, and operator visibility. Provide engineering guidance for live-site maintenance activities, system isolations, change management reviews, MOPs, SOPs, EOPs, and risk assessments. Own the mechanical sequence-of-operations documentation as a living artifact post-turnover, ensuring it stays current as systems, set points, and control strategies evolve during enduring operations. 4. Maintenance, Asset Lifecycle, and Risk Management Define, review, and improve preventative maintenance standards for critical mechanical equipment across the operating portfolio. Ensure maintenance practices align with OEM recommendations, warranty requirements, contractual uptime commitments, and site-specific operating conditions. Support reliability-centered maintenance and predictive maintenance programs where appropriate, using asset condition, failure history, service records, and operating data. Develop mechanical asset criticality frameworks to prioritize inspection, maintenance, testing, spare parts, capital replacement, and engineering oversight. Partner with finance, operations, and reliability leadership to support long-term capital replacement forecasts tied to equipment degradation, age, risk, and lifecycle cost. Review vendor service quality, maintenance documentation, corrective maintenance effectiveness, and spare parts strategies for critical mechanical systems. Own the water treatment and chemistry monitoring program for chilled water and condenser water systems, including chemistry limits, treatment equipment performance, ongoing monitoring cadence, and coordination with water treatment vendors to protect system integrity and heat transfer efficiency. 5. Standards, Governance, and Continuous Improvement Develop and maintain mechanical engineering standards, operating playbooks, troubleshooting guides, technical bulletins, and review frameworks for the operations organization. Support management of change processes to ensure mechanical modifications are reviewed for reliability, redundancy impact, maintainability, documentation, training, and operational readiness. Translate site-level incidents, near misses, asset performance issues, and commissioning findings into portfolio-wide improvements. Help establish engineering competencies, technical training content, and qualification expectations for mechanical operations support. Reduce single points of technical dependency by documenting knowledge, coaching site teams, and strengthening internal engineering capability. Promote disciplined risk evaluation, technical documentation, and cross-functional decision-making across design, construction, commissioning, and operations. What We’re Looking For: Required Qualifications Bachelor's degree in Mechanical Engineering or a closely related technical discipline. 8-10 years of progressive mechanical engineering experience, with at least 5 years supporting data centers, mission-critical facilities, central plants, industrial facilities, or other 24x7 high-availability environments. Demonstrated experience supporting mechanical infrastructure across design review, construction support, commissioning, turnover, maintenance, troubleshooting, and enduring operations. Strong working knowledge of data center or mission-critical mechanical systems, including cooling plants, air handling systems, pumps, heat rejection equipment, piping, valves, controls, and redundancy configurations. Experience reviewing mechanical drawings, equipment submittals, sequence-of-operations documents, commissioning scripts, test reports, O&M manuals, and maintenance documentation. Ability to troubleshoot complex mechanical issues in live operational environments and make sound recommendations that balance uptime, safety, cost, schedule, and long-term reliability. Experience with preventative maintenance, root cause analysis, corrective action planning, asset lifecycle management, and operational risk assessment. Strong communication skills with the ability to explain technical issues clearly to site operations, leadership, vendors, design teams, construction teams, and commissioning partners. Preferred Qualifications 10+ years of mechanical engineering experience in large-scale data center, mission-critical, or multi-site critical infrastructure environments. Professional Engineer license or Engineer-in-Training certification. Experience serving as a senior mechanical technical escalation point for live operational facilities. Experience supporting new data center builds, major expansions, retrofits, integrated systems testing, and operational turnover. Knowledge of Uptime Institute Tier concepts, ASHRAE guidance, OEM maintenance requirements, and data center availability expectations. Experience with BMS platforms, mechanical controls troubleshooting, alarm strategy, trend analysis, and sequence optimization. Familiarity with predictive maintenance technologies, thermal modeling, CFD, digital asset management, CMMS data quality, or reliability analytics. Experience developing mechanical standards, SOPs, MOPs, EOPs, RCA templates, training materials, and engineering governance processes. Key Competencies Mission-critical mechanical engineering expertise. Operational reliability mindset and strong risk recognition. Ability to identify design, construction, commissioning, and operating issues before they become outages. Practical understanding of how design and construction decisions impact long-term operations. Strong troubleshooting, incident response, and root cause analysis capability. Clear technical communication and cross-functional leadership. Discipline around change management, documentation, governance, and lessons learned. Ability to create scalable standards for a growing operating portfolio. Success Measures Improved mechanical system reliability and reduced repeat mechanical incidents. Strong uptime performance across supported data center sites. Successful transition of new sites from design and construction into stable operations. Reduction in emergency corrective maintenance related to mechanical systems. Improved mechanical asset health visibility and long-term capital replacement planning. Standardized mechanical maintenance practices, technical documentation, and operating expectations across the portfolio. Fewer design, commissioning, and turnover issues impacting operations. Increased technical capability of site operations teams and reduced reliance on external consultants for core mechanical expertise. Overall reduction in operational SLA violation risk due to operational support (programs/processes/tooling). What We Offer (Dallas): Competitive base salary and discretionary bonus Flexible Time Off (i.e. unlimited paid vacation days) Company paid Holidays (14) Company paid sick leave Company-paid health and protective benefits for employees, partners, and other dependents 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Ginger Free daily snacks in-office Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Apply now and join us as we grow the economy that runs on code. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. To be eligible for this role, you need to graduate in December 2026 and be able to start full time by January/February 2027. WHAT YOU'LL ACHIEVE: - You'll work with others to plan, shape, and build new product features from start to finish: through conception, research, implementation, and maintenance. For example, you might work on driving adoption, by instrumenting key onboarding moments and iterating on activation flows. - You'll help improve performance and reliability, or polish existing features. For example, you might update our spell checker to sync dictionaries across browsers or improve search to index file attachments. - You'll build internal tools to support simplicity and productivity for the whole team. This might include writing a script to import user feedback into Notion. QUALIFICATIONS: - Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field. - To be eligible for this role, you need to graduate by Dec 2026 and be able to start FTE by January/February 2027. - Previous internship experience. - Working towards a proficiency of one or more programming languages such as TypeScript, Node.js, or Python. SKILLS YOU'LL NEED TO BRING: - Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. - You stay current with the latest tools like Codex, Claude Code, and other AI-assisted development environments. You're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users. - Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck. You think about the implications of what you're building and how it will impact real people's lives. - Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same. - Passion for web applications: You can work with others to build and maintain quality user interfaces for a big audience, using Web technologies like HTML, CSS, JavaScript, and a modern UI framework like React. - Familiarity with backend systems: You understand how parts of a system fit together—from the user interface to the data model. Familiarity with database systems like Postgres, MySQL or MongoDB is a plus. NICE TO HAVES: - You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch. - You’re a builder who finds joy in building software solutions for yourself or others. - You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship. - You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated salary range for this role is $135,000 - $155,000 #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. This internship will take place from May 17 - August 6 or June 14 - Sept 3 (based on your summer schedule) and you will need to be able to work out of our NY or SF office during this time. WHAT YOU'LL ACHIEVE: - Write clean, secure, tested, and documented code. - Design & enhance the Notion product with new capabilities with an AI first mindset - Develop, fix and debug software for across our full stack: web services, databases, applications, tools while leveraging modern frameworks and tooling. QUALIFICATIONS: - Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field. Must graduate before Summer 2028. - This internship will take place from May 17 - August 6 or June 14 - Sept 3 (based on your summer schedule) and you will need to be able to work out of our NY or SF office during this time. - Previous internship experience. - Working towards a proficiency of one or more programming languages such as Typescript, Node.js, or Python. - You find large challenges exciting and enjoy discovering problems as much as solving them. - You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment. SKILLS YOU’LL NEED TO BRING: - Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck. - Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad. - Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go. - Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. - Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same. - AI enthusiast: You have built or prototyped features with AI technologies (LLMs, Embeddings, ML) and are interested in learning more NICE TO HAVES: - You have expertise with specific technologies that are part of our stack, including Typescript, React, Python. - You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work. - You have interests outside of technology, such as in art, history, or social sciences. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated hourly range for this role is $57/hr for Bachelors and $61/hr for Master’s. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Strategic Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI by securing strategic deals with top enterprises across key industry verticals, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across key industry verticals. The ideal candidate will have a passion for developing industry-specific market segments, pinpointing high-potential opportunities within key industry verticals, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI. Responsibilities: Win new business and drive revenue within a book of strategic industry accounts. Own the full sales cycle from prospecting to close, identifying and developing new opportunities across multiple business units and use cases within key industry verticals Navigate complex organizational structures and build consensus among diverse stakeholder groups. Develop multi-threaded relationships from individual contributors to C-suite executives across industry enterprises Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze your industry accounts' landscape, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead expansion by pinpointing new use cases and business units within key industry verticals. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge within your strategic industry accounts Own sophisticated deal cycles involving multiple stakeholders, technical evaluations, and complex procurement processes. Demonstrate resourcefulness when faced with challenges that defy easy solutions Build and maintain accurate pipeline forecasting while ensuring high forecast accuracy and consistency. Identify a robust set of business drivers behind all opportunities Inform product roadmaps and features by gathering customer feedback and conveying key industry market needs. Provide insights that strengthen our value proposition and enhance the customer experience within industry verticals Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency across key industry verticals You may be a good fit if you: 10+ years of enterprise sales experience with a proven track record of closing complex deals with strategic accounts. Experience managing sophisticated sales cycles and securing deals with extended timelines and multiple stakeholders across key industry verticals Experience selling emerging technologies or complex solutions to large industry enterprises. Ability to navigate technical evaluations and translate complex capabilities into business value for industry-specific use cases Strong executive presence with demonstrated ability to engage C-suite executives and senior stakeholders. Experience presenting to boards and aligning solutions with strategic business initiatives within key industry verticals Exceptional relationship building skills with proven ability to develop multi-threaded relationships across large organizations. Experience building consensus among diverse stakeholder groups in industry environments Consultative sales approach with a focus on understanding customer business challenges and crafting tailored solutions. Ability to position yourself as a strategic advisor rather than a vendor within key industry verticals Strong cross-functional collaboration skills with an ability to mobilize internal resources including product, engineering, and partnership teams. Experience coordinating complex deals that require multiple internal stakeholders Resourcefulness and problem-solving abilities when faced with complex challenges. Demonstrated ability to navigate ambiguous situations and find creative solutions High level of organization and attention to detail with strong forecasting accuracy. Ability to manage multiple complex opportunities simultaneously Passion for AI and emerging technologies with enthusiasm for helping industry organizations transform through responsible AI deployment. Strong alignment with Anthropic's mission of developing safe, beneficial AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $380,000 — $450,000 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. 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: Europe; Paris; London Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the role ElevenLabs is expanding globally, and some of our largest enterprise opportunities are won through complex procurement processes. We're building the RFP Engine to own how we compete in them — a new function at the heart of how ElevenLabs pursues its most strategic deals. As a Proposal Manager, you'll be one of its founding members, owning strategic pursuits in your region from qualification through submission: decoding what evaluators actually want, shaping the response strategy with account teams, coordinating input across sales, solutions engineering, legal, and security, and driving every submission to an exceptionally high bar — on time, every time. You'll run pursuits through an AI-first system and help make it better with every cycle. Automation handles the mechanical work — first drafts, compliance checks, content retrieval — so your judgment goes where it matters: positioning, differentiation, and quality. When you spot work being repeated, you'll help systematise it, turning what you learn on each bid into templates, content, and process the whole company benefits from. We think the right person has lived complex enterprise bids and knows the difference between a compliant response and a winning one. You write and edit exceptionally well, you're calm and decisive coordinating many contributors against a hard deadline, and you'd rather build the machine than crank the handle. Requirements - A track record managing complex enterprise RFP or bid responses end-to-end, from qualification through submission, ideally at a technology company - A builder's approach to AI and automation: you use AI fluently in your own work, you've shipped internal tooling or workflows (or partnered closely with engineers to do so), and you treat repeated manual effort as a design flaw - Exceptional writing and editing: you turn technical and commercial input from many contributors into clear, compliant, persuasive responses - Strong project management under deadline pressure — running contributors, review cycles, and sign-offs across functions and timezones without dropping quality - Commercial instincts: you can read scoring criteria, spot what will differentiate a response, and flag pursuits that aren't worth the effort Bonus: additional languages beyond English; experience with security or compliance questionnaires; a technical or pre-sales background. Growth Potential We believe in hiring the best talent in the world to look make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role: - Leading regional proposals capacity as pursuit volume grows across markets - Specialising in bid strategy on our most strategic global pursuits Location We're hiring for this role in two regions. This role is remote-first and can be executed from any of our hub cities in EMEA. If you prefer, you can work from our growing number of offices, including in London, Dublin, Madrid or Warsaw. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Miami, Florida Workplace: Remote Who We Are X-LAB is the in-house performance bicycle line by XDS, which has quietly become the world’s largest and most vertically integrated bicycle manufacturer and the largest maker of carbon fiber frames, supplying many of the top brands in cycling and mobility.   Today, XDS is quiet no more. XDS launched X-LAB in April 2026 as the global consumer brand to take the industry by storm. Three decades of experience building exceptional bicycles have culminated into a unique line of road, gravel, electric, city, hybrid, and soon mountain bikes that riders and shops can’t stop talking about.   X-LAB is the new inflection point for the category. We launched in April 2026 with a full lineup across road, gravel, city, fitness, e-bike, and soon mountain categories, with validation from the highest and most demanding levels of the sport through the XDS Astana Team and a rapidly growing network of dealers.   Our ambition is not simply to sell more bikes. It is to make great bikes more integrated, more accessible, and better supported through the independent shops and communities that grow cycling and bring in new riders. That is what makes this moment exciting. Joining X-LAB means helping to shape a company with unmatched production scale, real engineering R&D depth, and the confidence to earn trust… one rider, one dealer, one product, and one market at a time.   Are you ready to ride ahead of the pack? Learn more at https://xds.co/https://xlabbikes.com See an insider’s look of our factory: Youtube Video https://www.youtube.com/watch?v=06SheO5XFsY _____________________________________________________ XDS is seeking a Territory Sales Manager to join us on this ground-floor opportunity to establish XDS in the North American market. This is a hands-on, field-based sales role focused on opening new dealer accounts and getting XDS bikes on shop floors across a defined territory. You’ll be out in-market most days, walking into stores, having real conversations with shop owners and managers, and building relationships face to face. This role is about laying the groundwork for XDS in North America and being the brand’s presence on the ground. The territory for this position will cover Florida, Georgia, Alabama, South Carolina, North Carolina, and Tennessee. We welcome applicants in any of these states. What You’ll Do - Build X-LAB’s presence across your territory by regularly visiting independent bicycle dealers. - Prospect for and open new dealer accounts through planned outreach, referrals, industry relationships, and in-person cold visits. - Manage the sales process from the first conversation through account setup and initial order. - Grow productive relationships with new and existing dealers. You’re a Great Fit With: - 5+ years of relationship-based sales experience, preferably selling to small and midsize businesses - Comfort and flexibility with traveling up to four days per week in the field, opening doors, and starting conversations in person - Strong territory planning, organization, CRM, and follow-up skills - Interest in cycling, sporting goods, specialty retail, or performance products preferred; bicycle-industry experience is a plus, but not required - Communicate fluent in both English and local languages Success Metrics (1st Year) - Qualified new dealer accounts opened. - Territory revenue and growth against agreed targets. - Dealer activation, repeat ordering, and account development. _______________________________________________________ Our Compensation and Benefits - Salary plus commission structure (expected OTE $125k-$175k) - Demo bike fleet and comprehensive travel allowances - Remote-focused role Equal Opportunity XDS is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members.

Location: Dubai; United Arab Emirates; Riyadh Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT THE ROLE We are building a Government Affairs and Public Policy (GAPP) team with the ambition and expertise to help shape one of the world's most dynamic environments for artificial intelligence and digital innovation. As our Government Affairs Lead for the Middle East, you will help establish and strengthen Cohere's presence across the United Arab Emirates, the Kingdom of Saudi Arabia, and the other Gulf Coast countries ensuring the company's voice contributes to the development of AI policy, digital transformation, public-sector innovation, procurement, and economic diversification initiatives. This is an exciting opportunity for an experienced government affairs professional who thrives at the intersection of government, technology, and public policy, and who wants to help position Cohere as a trusted partner supporting the region's ambitions to become a global leader in artificial intelligence. You will work alongside experienced policy leaders, collaborate closely with senior executives, and contribute directly to Cohere's strategic growth across two of the world's fastest-growing AI markets. KEY RESPONSIBILITIES: - Report directly to Cohere's Head of EMEA Government Affairs & Public Policy, partnering closely with senior leadership, legal, public policy, responsible AI, communications, and commercial teams to develop and execute Cohere's government affairs and stakeholder engagement strategy across the UAE and the Kingdom of Saudi Arabia. - Serve as Cohere's primary government affairs representative across the region, building trusted relationships with ministries, regulators, government authorities, public-sector organizations, sovereign entities, and innovation agencies. - Monitor and assess legislative, regulatory, and public policy developments affecting artificial intelligence, cloud computing, data governance, cybersecurity, digital infrastructure, and emerging technologies across the region. - Support policy advocacy by developing consultation responses, policy submissions, briefing materials, executive talking points, and stakeholder engagement strategies related to AI regulation, digital economy initiatives, technology policy, and public procurement. - Partner closely with commercial and public sector sales teams to support business development opportunities across government, financial services, telecommunications, energy, and other regulated industries. - Collaborate with communications, marketing, and public relations teams to ensure consistent and effective messaging regarding Cohere's approach to responsible AI, innovation, and technology policy. - Represent Cohere in industry associations, public-private partnerships, conferences, and policy forums across the Middle East. - Develop and manage relationships with external government affairs consultants, advisors, and trade associations across the region. - Ensure all government engagement, lobbying, and political activities are conducted in full compliance with applicable local laws, regulations, and company policies. - Contribute to broader regional government affairs initiatives across the GCC and support cross-functional projects involving international stakeholders. QUALIFICATIONS - 7+ years of experience in government, a ministerial office, public policy, diplomacy, public-sector consulting, regulatory affairs, corporate government affairs, or a leading industry association. - Strong understanding of the policymaking, regulatory, and public-sector landscape in either the United Arab Emirates or the Kingdom of Saudi Arabia, with the ability to quickly develop expertise across both markets. - Experience building trusted relationships with senior government officials and public-sector stakeholders. - Familiarity with AI policy, digital transformation, innovation policy, cloud technologies, public procurement, or technology regulation. - Excellent written and verbal communication skills in English. Professional proficiency in Arabic is highly desirable. - Strong analytical skills with the ability to translate complex policy developments into clear business implications and actionable recommendations. - A collaborative mindset and the ability to work effectively across international, cross-functional teams spanning multiple time zones. - An entrepreneurial, self-starter mentality with excellent stakeholder management and project execution skills. - Passion for artificial intelligence, emerging technologies, and the opportunity to help shape the policy environment supporting responsible AI adoption. - An undergraduate degree in political science, international relations, public policy, law, business, economics, or a related field (or equivalent practical experience). PREFERRED QUALIFICATIONS - Professional proficiency in Arabic. - Existing relationships with government stakeholders in both the UAE and Saudi Arabia. - Experience engaging with GCC institutions or regional organizations. - Experience in enterprise software, cloud computing, artificial intelligence, or another emerging technology sector. - Experience supporting government procurement, digital transformation, or national AI initiatives. 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: Budapest, Hungary About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. At Wolt, you can grow your sales career with a fun and fast-scaling global business. Part of the DoorDash team, we’re building a global logistics platform that can deliver (almost) everything in your city, to your door in minutes. Today, our products are used by 55+ million registered users who can now order from 200,000+ restaurants and retail stores across 30+ countries around the world. Our Sales teams create and build our relationships with merchants. Together, we’ve helped big brands, local stores and neighborhood restaurants do over €15 billion’s worth of business through our platform. We’re constantly launching new cities and products, so there are always new opportunities to expand your skills and progress your career. As our new Account Manager you’ll be trusted with a portfolio of nationally recognized brands, each with ambitious goals, multi-layered decision-making structures, and large operational footprints. You’ll be responsible for unlocking their full potential on Wolt by building strong relationships, running sophisticated campaigns, and making data-driven decisions that drive both growth and profitability. What you’ll be doing As an Account Manager, you’ll be the primary point of contact for a number of large enterprise accounts. You’ll work across multiple layers of each organisation – from central decision-makers to regional managers and local stores – with a focus on long-term growth and operational excellence. You’ll plan and execute advanced promotional campaigns, lead commercial negotiations, and use data to optimize every aspect of partner performance. In addition to managing your portfolio, you’ll help shape internal tooling and best practices that support the broader enterprise AM community. Day-to-day in this role you’ll: Own a portfolio of restaurant accounts end-to-end Lead negotiations and strategic planning in collaboration with senior internal and external stakeholders Drive adoption of relevant Wolt products such as Wolt+, Wolt Ads, Wolt Drive, and Wolt Capital Analyse partner performance in depth – from conversion rates to delivery efficiency – and turn insights into concrete actions Collaborate cross-functionally with teams like Marketing, Operations, Analytics, and Product to ensure smooth execution of partner plans and bring feedback from the field into internal roadmaps Build tools, frameworks, or workflows that support smarter decision-making within your team and across the region Tailor your approach to different organisational layers, from headquarters to local store operators Our humble expectations We’re looking for someone who combines commercial sharpness, analytical depth, and strong interpersonal skills – and who’s motivated by solving complex challenges. Strategic commercial thinking – You understand what drives partner performance and profitability, and you can develop win-win plans that balance long-term growth with short-term impact Advanced analytical skills – You’re highly comfortable navigating BI tools like Looker or Excel, building your own performance views, and using data to guide negotiations, campaigns, and optimisations Ownership mindset – You take full responsibility for your portfolio, push projects forward without being asked, and proactively solve problems when roadblocks appear Process builder – You enjoy improving how things work – whether through creating internal tooling, building a new report, or refining the way we engage with partners Experience – You likely have 4+ years in account management, strategy, consulting, or commercial roles with enterprise exposure Languages – You’re fluent in Hungarian and English, both written and spoken What we offer At Wolt, we believe great people thrive when given ownership, trust, and the chance to make an impact. As an Account Manager, you’ll get exactly that – along with a competitive salary and the opportunity to grow in a fast-moving global tech company with plenty of career paths. On top of that, you’ll get a competitive salary, Wolt discounts, daily lunch, and a well-stocked office with coffee, soft drinks, and fruit – plus a range of local benefits. Why you’ll love it 🚀Global and growing fast: Be part of a fast-moving scaleup 🤩Ride of a lifetime: Accelerate your career and build your sales skills 💪Instant impact: Take ownership and make a difference 💙Big hearts and small egos: Surround yourself with smart, friendly people Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply, make sure to add your CV and get the conversation going! We will be reviewing applications on an on-going basis. If this sounds like an opportunity you want to pursue, apply today! Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Hanoi OR Ho Chi Minh City 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. The Role: We are looking for a Quantitative Developer to join our team in Vietnam. This is an opportunity for a technically strong, early-career candidate to build the automation and tools that support critical business workflows. You will work alongside experienced engineers to solve technical problems, develop robust internal platforms, and improve the efficiency of complex systems. You will also gain hands-on exposure to production environments by helping monitor workflows, investigate issues, and support on-call activities What You'll Do: Monitor production systems, scheduled jobs, data processes, and automated workflows; identify and bring up issues appropriately Investigate technical issues across applications, data processes, and infrastructure; contribute well-tested fixes under guidance Design, build, and maintain internal tools, automation, interfaces, and services that improve business workflows Improve system reliability, observability, documentation, and team productivity Collaborate with engineers and stakeholders to understand requirements and translate them into practical technical solutions Contribute to code reviews, testing, release validation, and user documentation Assist the on-call team with incident triage, diagnostics, communication, validation, and follow-up activities Identify repetitive manual tasks and build automation to reduce operational overhead What You’ll Bring: Bachelor's/ Master's degree or equivalent experience in Computer Science, Engineering, or a related field Solid practical experience in Python and/or C++ Good knowledge of Bash scripting and Linux environments Familiarity with version control systems such as Git Interest in automation, production systems, operational tooling, and reliable software delivery Strong analytical and logical thinking, with a methodical approach to solving problems Meticulous, with a high standard for accuracy, quality, and reliability A self-starter who takes ownership of assigned work and knows when to seek guidance or escalate Comfortable handling multiple tasks and priorities in a fast-paced environment Able to learn quickly and adapt to unfamiliar technologies and complex systems Effective and concise communicator in English, both written and verbal Solid understanding of Claude or other LLM tools, and an understanding of how to apply them effectively across debugging, problem analysis, solution design, testing, and documentation Uses LLM tools with sound judgment and critical thinking — as a force multiplier for quality, speed, and clarity, not as a substitute for engineering discipline Brings a continuous-improvement approach and contributes to improving team processes, documentation, and automation 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 every month: Local engagement events, monthly team lunch – Employee clubs: football, ping-pong, badminton, yoga, running, PS5, movies, 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! #LI-VP1 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.