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Location: San Francisco, CA | 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 The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale. Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards. Key responsibilities Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration Are curious about LLM serving; prior inference or ML experience is not required Thrive in cross-functional collaboration with both internal teams and external partners Have experience working with external partners to align goals and deliver impact Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments Solid understanding of multi-region deployments, geographic routing, and global traffic management Proficiency in Python or Rust The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | 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 The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations. Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact. This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource. Key responsibilities Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads Minimum qualifications Have a strong interest in LLM serving; prior inference or ML experience is not required Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration Thrive in cross-functional collaboration with both internal teams and external partners Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description Preferred qualifications LLM inference optimization, batching, and caching strategies Capacity-constrained scheduling or shared-resource test infrastructure Solid understanding of multi-region deployments, request routing, load balancing, global traffic management Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service Proficiency in Python or Rust The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY; San Francisco, CA; 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 Our Inference team is responsible for building and scaling the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry’s largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators. The team has a dual mandate: maximizing compute efficiency to reliably serve our explosive customer growth, while enabling breakthrough research by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms. Inference systems are highly performance sensitive distributed systems. Inference serves hundreds of thousands of customers every day, and the size & span of the inference fleet requires sophisticated routing, scaling, and networking systems. Key responsibilities Design, build, and maintain the distributed systems that serve Claude to millions of users worldwide Develop resilient, flexible systems that adapt in real time to real world events Develop intelligent request routing, load balancing, and traffic management systems across thousands of accelerators and multiple cloud providers Maximize compute efficiency and optimize cost across the fleet by autoscaling and orchestrating production, research, and experimental workloads across multiple cloud providers Build and operate production-grade deployment pipelines for releasing new models to users Provide high-performance inference infrastructure that enables researchers to develop next-generation models Integrate new AI accelerator platforms and support inference for new model architectures Minimum qualifications Significant software engineering experience, particularly with distributed systems Results-oriented, with a bias towards flexibility and impact Willingness to pick up slack, even if it goes outside your job description Desire to learn more about machine learning systems and infrastructure Thrive in environments where technical excellence directly drives both business results and research breakthroughs Care about the societal impacts of your work Preferred qualifications Experience with high-performance, large-scale distributed systems Experience implementing and deploying machine learning systems at scale Experience with load balancing, request routing, or traffic management systems Familiarity with LLM inference optimization, batching, and caching strategies Experience with Kubernetes and cloud infrastructure (AWS, GCP, Azure) Proficiency in Python or Rust Representative projects Designing intelligent routing algorithms that optimize request distribution across many accelerators in different environments Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads Building production-grade deployment pipelines for releasing new models to millions of users reliably Contributing to new inference features Supporting inference for new model architectures Analyzing observability data to tune performance based on real-world production workloads Managing multi-region deployments and geographic routing for global customers The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco Workplace: OnSite fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. About this role: fal is looking for a Machine Learning Engineer to own the ML and the ML infrastructure that power our safety systems end-to-end — from the models that detect harmful content and misuse to the pipelines and infrastructure that run them reliably at scale. This is a dedicated, hands-on engineering role sitting on the Trust & Safety team, working alongside our safety engineering function to keep detection capability ahead of a fast-growing platform with 1,000+ models. What you’ll do: - Design, build, and maintain the ML models and the ML infrastructure behind fal's safety and abuse-detection systems, end-to-end - Improve the accuracy, coverage, latency, and scalability of detection pipelines across the platform - Partner with Security and Infrastructure Engineering to integrate safety systems deeply into core platform infrastructure - Evaluate and integrate third-party safety tooling and vendor models where it makes sense - Stay current with the ML safety/detection landscape and bring new techniques and infrastructure patterns into fal's stack - You will have access to our massive GPU cluster for inference and evaluation - Some core technologies we use include Python, torch, diffusers, Kubernetes, and the fal Python SDK - You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs — your job is to make sure that speed never comes at the cost of safety Qualifications/Nice to have: - Prior hands-on experience in trust & safety, content moderation, or abuse/detection systems — required - Strong end-to-end engineering fundamentals — comfortable owning both the ML and the infrastructure that serves it in production - Comfortable owning ambiguous, high-stakes problems with limited precedent - Based in San Francisco; fal works in-person, 5 days a week What we offer at fal: - Interesting and challenging work - Competitive salary and equity - A lot of learning and growth opportunities - We offer relocation assistance to San Francisco. - Health, dental, and vision insurance (US) - Regular team events and offsite Comp: - 180k - 250k + equity + comprehensive benefits package U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

Location: Remote (New York, New York, United States) Thank you for considering Tailscale. If this job description resonates with you, please apply. Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic! About Tailscale Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital. About the Role Join our rapidly growing Sales team where you will play an important role at one of the fastest growing companies in the Developer Security space. As an Enterprise Account Executive, you will be responsible for helping some of our largest clients and prospects to evaluate, purchase, and expand their usage of Tailscale as a solution to their company’s evolving networking, security, and compliance objectives. You will partner closely with the Solutions Engineering team, as well as collaborate with the Customer Success, Support, Marketing, and Product teams. We're an energetic company with a wide variety of backgrounds. We coach each other, share feedback, and collaborate to maximize our performance and earning potential, all the while aligning with our customers' needs. We are one of the fastest-growing VC-backed Dev Tool companies and are looking for folks to help us get to our next stage of growth. You will join a team helping define the future of secure connectivity and modern networking. Tailscale's product-led growth has created significant enterprise demand from organizations looking to simplify network access, strengthen security, and accelerate developer productivity. As an Enterprise Account Executive, you will work with some of the world's most sophisticated technology organizations to help them modernize legacy networking and security infrastructure. We are looking for enterprise sellers who know how to create opportunities, not just manage them. You are comfortable building executive relationships, navigating complex organizations, and earning credibility with both technical and business stakeholders. You understand how to translate technical capabilities into measurable business outcomes and can lead customers through transformational technology decisions. Key Responsibilities Own and grow a territory of enterprise organizations, driving both net-new customer acquisition and expansion opportunities Proactively self-source pipeline through outbound prospecting activities, including cold outreach, strategic account targeting and networking. Take ownership of the full sales cycle from lead to close Develop strategic account plans that identify key stakeholders, organizational priorities, technical initiatives, and expansion paths across the account Build relationships with Security, Infrastructure, Engineering, Compliance, and Executive stakeholders to drive alignment and consensus throughout the buying process Navigate complex enterprise sales cycles involving multiple decision-makers, procurement processes, security reviews, and legal negotiations Position Tailscale as a strategic platform for secure connectivity and modern network access by helping customers understand both the technical and business value of the solution Lead cross-functional account teams consisting of Sales Engineering, Customer Success, Product, Marketing, and Support to deliver exceptional customer outcomes Drive adoption beyond the initial deployment by identifying opportunities for broader organizational usage and long-term account growth What We Are Looking For 5+ years of closing experience in a sales role Demonstrated success selling infrastructure, networking, cybersecurity, cloud, developer tools, or other highly technical software solutions Proven track record of consistently meeting or exceeding quota in an enterprise sales environment Experience managing complex, multi-stakeholder sales processes involving technical and executive buyers Ability to engage credibly with both technical practitioners and senior business leaders Experience collaborating and working with a Sales Engineer on sales cycles Strong account planning, discovery, and business case development skills Experience closing six-figure enterprise opportunities is strongly preferred Experience using Gong, or similar, to collaborate internally and manage pipeline Location: Remote, but based in or near New York City as it supports customers and requires occasional travel/commute within the assigned region. What Success Looks Like Consistently exceed quota through a combination of self-generated pipeline, new customer acquisition, and account expansion Establish trusted advisor relationships with Security, Infrastructure, and Engineering leaders Successfully drive adoption from initial deployment to broader organizational standardization Build a predictable pipeline through disciplined prospecting and strategic account development As a company, we strive to maintain fair and equitable compensation practices within our team across all roles and all levels. Tailscale's compensation package includes base salary, equity, and comprehensive benefits. The salary range displayed on each job posting represents the target range for a new hire's base salary. Individual offers may vary based on experience and skill set. For this position, our pay ranges reflect target OTE (on target earnings), inclusive of base salary and variable compensation tied to the attainment of quarterly sales targets. US Pay Range (OTE) $250,000 — $300,000 USD What We Offer An inclusive, flexible environment where you can be your authentic self. We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life. A competitive total compensation package. This includes a base salary, an equity incentive plan and variable commission (for quota-based roles). Comprehensive group benefits with no waiting period. Take advantage of coverage for health, vision, dental, and more for you and your family! Remote first company —most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description. Employer-funded retirement contributions. Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation. Connect with other Tailscalars IRL. Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration. Support for your personal and professional development. Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities. Paid time off and a healthy work-life integration. Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world! A build-your-own home office setup. You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own. Paid parental leave program . We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents). Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter. Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people. Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit https://tailscale.com/scam-awareness .

Location: London, UK Workplace: Hybrid ABOUT BEAMERY With the rapid expansion of AI and automation, the future of work has never been more challenging for organizations. Beamery’s unique jobs, skills and tasks data platform helps organizations navigate these challenges and make more informed decisions across Talent Lifecycle Management. Our solutions power recruitment, mobility, upskilling, diversity, work architecture and workforce planning for some of the world’s most forward-thinking companies. We believe that where you work is much more than just a job. Millions of people are being left behind every day in their careers, and we’re on a mission to fix this by creating equal access to meaningful work, skills and careers for all. We are an equal opportunity employer committed to building a representative Beamery, creating an equitable, inclusive and engaging environment for our people. So, what are you waiting for? Join us and help us transform the future of work once and for all. What’s ahead — and why it’s an exciting time to join the team:  Building agentic AI with advanced orchestration (multi-agent workflows, tool use, evaluation loops) that turns complex talent data into decisions. - Training and fine-tuning our own models on unique data about jobs, skills and tasks, and benchmarking them against the best in our market. - Joining an award-winning AI team (ACM RecSys Challenge 2026) that turns new ideas into innovative solutions with scientific rigour. - Sharing our work and learning from industry peers through challenges, conferences and publications. But it’s not all about creating high-quality products, we also very much value the company culture we have worked hard to create; built on trust, empathy & honesty ensuring our workforce is able to bring their full selves to work. ABOUT THE OPPORTUNITY AT BEAMERY We are looking for an experienced Senior Product Manager to own Beamery's Data Foundry end to end. The Data Foundry is our proprietary data platform, powering existing and emerging product lines including our Talent CRM and Workforce Suite. Through this, we provide data-as-a-service to customers through channels such as MCP/API. This is an emerging commercial channel. Its core capabilities span the data models, taxonomies and integrations that underpin talent and workforce decisions across our platform. The Senior Product Manager, Data Foundry will treat data both as infrastructure embedded within our products and as a product that customers buy in its own right. Beyond internal embedding and direct commercial sales, the platform is open — customers and partners can build on top of it through MCP and API access. You will work with product leadership to set the strategy, agree what the platform provides internally, decide what becomes customer-facing, and define how the platform opens up for customer and partner innovation. You will work at the centre of the platform, creating a balance between two essential initiatives. On one side, you serve the Talent CRM and Workforce Suite product managers as your customers, agreeing the data contracts they build on. On the other, you partner with the data science, data engineering and integrations engineering leads to turn those needs into delivery. WHAT YOU WILL BE DOING Ownership and strategy - Own the Data Foundry vision, strategy and roadmap, framing each item as a bet with a clear driver, aligned to overall strategic objectives - Ensure alignment of Data Foundry strategy to Beamery's AI strategy, reflecting the shift from providing AI assistants to providing AI access through MCP and API channels. - Decide what Data Foundry provides as internal infrastructure and what is packaged and sold as a customer-facing product. - Make and defend build versus buy decisions across integrations, analytics, AI and taxonomy capabilities. Discovery and commercial impact - Discover and validate what external customers want from data-as-a-service, and partner with Sales and Customer Success to drive adoption with clear GTM and enablement plans - Build the case for Data Foundry as a new commercial channel, defining and proving the standalone commercial model alongside its role as platform foundation, quantify the value it unlocks for specific customers and deals, and measure success against value and usage metrics. Partnership and delivery - Lead your team to deliver solutions our customers can’t imagine working without and that deliver measurable customer and business outcomes - Agree and maintain the data contracts with the CRM and Workforce Suite product managers, treating them as internal customers with real commitments. - Prioritise across data science, data engineering and integrations engineering, translating tribe needs into a clear and deliverable plan. Communication & alignment - Communicate transparently and create alignment between peers and leadership on priorities, trade offs and progress - Manage customer and sales expectations through well managed structured cadences Data governance and trust - Own how workforce data is governed, secured and access-controlled as it is exposed through APIs and MCP, meeting or exceeding enterprise privacy and compliance expectations. - Ensure the outputs of Data Foundry's models are measurable and explainable, so customers and internal teams can trust and act on the results. WHAT WE ARE LOOKING FOR - A product manager with a minimum 6 years experience in complex technical, data or AI products, a significant portion of which should be in enterprise B2B SaaS. - Strong grasp of data platforms, APIs and integrations, comfortable making architecture-adjacent decisions while collaborating with and holding priorities with engineering and data science leads. - Experience handling sensitive or regulated data, with a clear view of governance, security and privacy. - An analytical thinker who uses data to find opportunities, confidently prioritise and measure success, balancing between competing tribe roadmaps and internal customers. - Commercially fluent, experience with 0-1 product stages, shaping early product with new go to market motions, able to connect product decisions to revenue, cost and customer ROI. - A clear communicator who builds trust across product, data science and engineering, and who is comfortable taking a position and explaining the reasoning. - Experienced owning and delivering AI capabilities, with a keen interest in how AI is reshaping the talent and workforce space, and in giving customers trusted, explainable access to their data. Beamery is for Everybody. Diversity and open expression are fundamental to us. We acknowledge the challenges in our industry and strive to develop an inclusive culture where everybody can contribute. We are dedicated to creating an inclusive environment for everyone, regardless of ethnicity, religion, color, sexual orientation, gender identity, race, national origin, age, disability status, or caregiver status. If, for whatever reason, you need us to make reasonable adjustments and adaptations to our recruitment process, please email accommodations@beamery.com Visit our Diversity, Equality and Inclusion page https://careers.beamery.com/life-at-beamery/diversity-equality-inclusion/to learn more about progress and commitments.

Location: Andorra la Vella, Andorra; Buenos Aires, Argentina; Brasilia, Brazil; Rio de Janeiro, Brazil; Barcelona, Spain; Madrid, Spain; Milano, Italy; Rome, Italy; Abu Dhabi, United Arab Emirates; London, United Kingdom; Lugano, Switzerland; Warsaw, Poland; Amsterdam, Netherlands; Lisbon, Portugal; Dublin, Ireland; Bucharest, Romania; Bangalore, India; Kuala Lumpur, Malaysia Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI model team, you will drive innovation in model serving and inference architectures for advanced AI systems. Your work will focus on optimizing model deployment and inference strategies to deliver highly responsive, efficient, and scalable performance across real-world applications. You will work on a wide spectrum of systems, ranging from resource-efficient models designed for limited hardware environments to complex, multi-modal architectures that integrate data such as text, images, and audio. We expect you to have deep expertise in designing and optimizing model serving pipelines and inference frameworks as well as a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel serving strategies and inference algorithms. Your responsibilities include engineering robust inference pipelines, establishing comprehensive performance metrics, and identifying and resolving bottlenecks in production environments. The ultimate goal is to enable high-throughput, low-latency, low-memory footprint, and scalable AI performance that delivers tangible value in dynamic, real-world scenarios. Responsibilities Design and deploy state-of-the-art model serving architectures that deliver high throughput and low latency while optimizing memory usage. Ensure these pipelines run efficiently across diverse environments, including resource-constrained devices and edge platforms. Establish clear performance targets such as reduced latency, improved token response, and minimized memory footprint. Build, run, and monitor controlled inference tests in both simulated and live production environments. Track key performance indicators such as response latency, throughput, memory consumption, and error rates, with special attention to metrics specific to resource-constrained devices. Document iterative results and compare outcomes against established benchmarks to validate performance across platforms. Identify and prepare high-quality test datasets and simulation scenarios tailored to real-world deployment challenges, specifically those encountered on low-resource devices. Set measurable criteria to ensure that these resources effectively evaluate model performance, latency, and memory utilization under various operational conditions. Analyze computational efficiency and diagnose bottlenecks in the serving pipeline by monitoring both processing and memory metrics. Address issues such as suboptimal batch processing, network delays, and high memory usage to optimize the serving infrastructure for scalability and reliability on resource-constrained systems. Work closely with cross-functional teams to integrate optimized serving and inference frameworks into production pipelines designed for edge and on-device applications. Define clear success metrics such as improved real-world performance, low error rates, robust scalability, optimal memory usage and ensure continuous monitoring and iterative refinements for sustained improvements. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Must have knowledge of Metal Shading Language (MSL). You should be comfortable writing custom compute shaders from scratch. Proven experience in low-level kernel optimizations and inference optimization on mobile devices is essential. Your contributions should have led to measurable improvements in inference latency, throughput, and memory footprint for domain-specific applications, particularly on resource-constrained devices and edge platforms. A deep understanding of modern model serving architectures and inference optimization techniques is required. This includes state-of-the-art methods for achieving low-latency, high-throughput performance, and efficient memory management in diverse, resource-constrained deployment scenarios. Must have strong expertise in writing GPU kernels for mobile devices (i.e., smartphones) as well as a deep understanding of model serving frameworks and engines. Practical experience in developing and deploying end-to-end inference pipelines, from optimizing models for efficient serving to integrating these solutions on resource-constrained devices is required. Demonstrated ability to apply empirical research to overcome challenges in model serving, such as latency optimization, computational bottlenecks, and memory constraints. You should be proficient in designing robust evaluation frameworks and iterating on optimization strategies to continuously push the boundaries of inference performance and system efficiency. Distributed Inference Systems: Designing and optimizing high-performance inference engines using techniques like Tensor Parallelism, Pipeline Parallelism, and Expert Parallelism to handle massive models on GPU clusters. Deep understanding of the math and structure behind Diffusion Models and Vision Transformers Understanding of Pruning, Quantization, Flash attention, KV Cache, Speculative Decoding (Eagle) etc. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: Portugal; Brazil SUMMARY: You will join a cross-functional squad responsible for building and maintaining high-scale, customer-facing services. The role involves contributing to new product features, evolving system architecture, improving code quality, and ensuring operational reliability in a modern, cloud-based environment. The ideal engineer thrives in a collaborative, autonomous culture that values experimentation, continuous learning, and shared ownership. This position plays a key part in shaping technical decisions, supporting platform evolution, and delivering impactful solutions at scale. WHAT WILL YOU BE DOING: You will be joining our engineering team and will be a valued member working closely in a collaborative, autonomous, cross-functional team. You will help with the following: Feature Delivery & Collaboration Participation in the design and delivery of new product features in collaboration with product, design, and engineering teams. Exploration of feasibility options and contribution to customer-focused engineering decisions. Commitment to clear goals, delivery expectations, and shared team objectives. Clear and responsible communication within the squad to support alignment and transparency. Communicating your needs clearly and responsibly. Architecture & Technical Decision-Making Contribution to system architecture discussions and evolution of technical design within the squad. Application of OOP, SOLID principles, and clean coding practices to build maintainable Ruby services. Participation in establishing engineering patterns, standards, and long-term architectural improvements. Support in building highly available, resilient, and scalable systems. Code Quality & Testing Development of high-quality Ruby code that is maintainable, readable, and structured for long-term sustainability. Adoption of strong testing practices using RSpec or Minitest to ensure robust test coverage. Improvement of existing systems to enhance reliability, modularity, and testability. Contribution to a culture of automated testing and continuous quality improvements. Operational Excellence Support in building and maintaining services operating under significant scale and traffic. Participation in monitoring, troubleshooting, and enhancing system resilience. Contribution to observability practices, operational readiness, and continuous improvement of production systems. Engagement in deployments and incident support as part of the team’s shared operational ownership. WHAT WE ARE LOOKING FOR: Core Technical Skills Strong hands-on experience with Ruby for building production applications. Ability to deliver maintainable, well-structured code aligned with OOP and SOLID principles. Proficiency in automated testing using RSpec or Minitest. Experience working with Git and collaborative development workflows. Backend Engineering Fundamentals Experience building scalable, API-driven backend services. Understanding of concurrency, asynchronous processing, and distributed system interactions. Experience with PostgreSQL, Redis, and MongoDB for data persistence and caching. Ability to design and troubleshoot systems operating under heavy load and high availability requirements. Operational & Performance Awareness Familiarity with diagnosing performance bottlenecks and implementing optimisations. Strong understanding of observability principles, including monitoring, logging, and system health analysis. Experience supporting and iterating on production systems. Communication & Collaboration Strong English communication skills, both written and verbal. Ability to contribute positively to team collaboration, solution discussions, and knowledge sharing. AWESOME BUT NOT REQUIRED: Experience with containers and orchestration (Docker, Kubernetes). Familiarity with Rack, Sinatra, or Rails frameworks. Exposure to EventMachine or event-driven architectures. Experience with ELK, Datadog, or similar observability stacks. Knowledge of AWS services such as ECR, EC2, S3, and RDS. Exposure to CI/CD pipelines, cloud-native practices, or infrastructure tooling. WHAT’S IN IT FOR YOU? Be part of our collegial environment where responsibility and authority are shared equally amongst colleagues, and help create our company culture A culture in which we don’t criticise failure but ensure we learn from our mistakes An Agile environment where your ideas are welcome The possibility to grow and experience different projects Fully remote Ongoing Training & Mentoring The possibility of travelling - ATTENTION!  THIS POSITION IS FOR  PORTUGAL OR BRAZIL-BASED ONLY

Location: São Paulo, Brazil About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . ABOUT THE ROLE Turing is the world's leading research accelerator for frontier AI labs. The STEM Horizontal team produces the high-signal STEM data those labs train on, and this role builds the machinery behind it: the task-authoring tools, data pipelines, evaluation harnesses, sandboxed execution environments, and agentic workflows our researchers and domain experts work inside every day. This sits at the seam between engineering and research. You'll own production systems end-to-end, and you'll be the person a researcher pulls in to ask why an eval is producing misleading numbers. Correctness and reproducibility are the product: a subtle bug here doesn't crash anything, it quietly poisons a training run and costs weeks. If you want to build systems that visibly shape how frontier models learn to reason about code and science, this is the seat. WHAT YOU'LL DO Own services end-to-end: design, implementation, rollout, and production operation. Build backend services and the data pipelines that generate, validate, score, and version datasets, reproducible from a commit and a config. Ship data-dense internal interfaces: virtualised tables, server-side filtering, review and annotation UIs that stay fast at tens of thousands of rows. Build and operate agent harnesses , multi-step loops with tool use, retries, and structured output, running against real repos and test suites. Build sandboxed execution environments where model-generated code runs safely and deterministically at volume, and stand up the RL environments and eval harnesses on top. Trace and debug agent runs end-to-end: where the loop stalled, which tool call failed, why the grader disagreed with the human. Own infrastructure as code and CI/CD; debug production issues across the stack and drive the reliability work that follows. Raise the bar through code review, design docs, and innovation, partnering with researchers and quality owners on what “good” means. TECH STACK Backend Python · FastAPI · Django / Django Ninja · PostgreSQL · MongoDB · REST + OpenAPI Frontend TypeScript · React · Next.js · virtualised tables, server-side filtering Platform Linux · Docker · Terraform · CI/CD · AWS or GCP WHAT YOU NEED 6+ years building and operating production software, ideally at product companies with real scale. Deep Python with production FastAPI and/or Django , ORM performance, migrations, async patterns. Strong PostgreSQL (schema design, query optimisation, indexing) and NoSQL. Frontend production with TypeScript / React / Next.js . Fluent on Linux and Docker ; Terraform or comparable IaC on AWS or GCP , and ownership of the CI/CD that ships it. Daily use of LLM coding tools (Claude Code, Cursor, Copilot) as part of how you actually ship, with the judgement to review their output critically and know where they break down. We are an AI-forward team; this is a must-have. You've built something on top of LLM APIs that other people depended on, an agent, a pipeline, an eval, and you know where it was fragile. Comfort with non-deterministic systems : you can tell a real regression from noise, and you reach for a controlled experiment over a hunch. Advanced Git and real testing discipline, unit, integration, and the negative and edge cases people skip. Clear written communication; comfortable working without hand-holding, and comfortable saying when a spec is wrong. NICE TO HAVE Internal tools or developer platforms used daily by a technical team. Agent frameworks and protocols, LangGraph, MCP, OpenAI/Anthropic tool use. Sandboxing and untrusted code execution: gVisor, Firecracker, seccomp. Workflow orchestration (Temporal, Airflow, Prefect, Dagster) and Kubernetes beyond managed defaults. LLM coding benchmarks (SWE-bench, Terminal-Bench), eval frameworks, or exposure to RLHF / RLVR. PREFERRED BACKGROUND Bachelor's or Master's degree with 6+ years experience in Computer Science, Software Engineering, Data Science, Machine Learning, AI, or a programming-heavy IT field. We weight demonstrated work outcomes most heavily, a strong track record without a matching degree is fine. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Australian Payments Plus, which manages essential Australian payment systems such as eftpos, BPAY, NPP, and the secure identity platform ConnectID, is seeking a Senior Project Manager based in Sydney. The role involves overseeing complex projects related to these payment infrastructures, ensuring timely delivery and alignment with strategic objectives. Candidates should have extensive experience in project management within the payments or financial services sector, demonstrating strong leadership and stakeholder management skills. Familiarity with Australian payment systems and regulatory environments is essential. The position requires coordinating cross-functional teams, managing risks, and driving continuous improvement to support the organization's mission of providing secure and efficient payment solutions.

Location: Remote - European Region Workplace: hybrid Coinspaid Solutions is a fintech company building blockchain payment infrastructure for the global economy. We design, implement, and scale payment systems that connect digital assets with real-world financial operations. Our solutions help businesses and financial institutions operate efficiently in the evolving digital asset landscape. For over 11 years, we’ve been developing products that bring crypto payments closer to mainstream adoption. Today, our team includes 350+ professionals working remotely across multiple countries. We combine the pace of fintech with a long-term approach to building products, teams, and careers. As a remote-first company, we give people flexibility in how they work while maintaining strong collaboration and shared ownership across teams. 🏆 In 2026, Coinspaid was recognized as Best Corporate Culture in the Blockchain Industry in Europe, reflecting our focus on ownership, trust, and collaboration. Responsibilities Lead regulatory legal support across payments and digital assets, with a focus on MiCA, PSD2, PSD3/PSR and related EU regulatory frameworks. Monitor legislative and regulatory developments and assess their impact on the Group’s products, services and operating model. Conduct regulatory gap assessments and lead the implementation of required legal and operational changes. Advise on new products, customer journeys, partnerships and business models from a regulatory perspective. Perform regulatory perimeter, licensing and market-entry assessments across relevant jurisdictions. Lead licensing and authorization projects, including preparation of applications and coordination of responses to regulatory authorities. Manage regulatory enquiries, inspections and requests for information. Develop and maintain regulatory positions, legal memoranda, internal guidance and implementation plans. Review the regulatory aspects of merchant, partner and outsourcing arrangements, as well as relevant data protection matters. Work closely with Compliance, AML, Risk, Product and Operations teams to ensure consistent implementation of regulatory requirements. Manage external legal counsel, including scope, deliverables, timelines and budget. Lead, review and prioritize the work of the regulatory legal team and support the professional development of team members. Requirements At least 3 years of relevant experience gained within a law firm, Big Four advisory practice, financial institution, fintech or crypto business. Strong knowledge of the EU regulatory framework for payment services and digital assets, particularly MiCA, PSD2 and PSD3/PSR. Hands-on experience advising on regulatory licensing, market entry, new product launches and regulatory change projects. Proven ability to conduct regulatory impact and gap assessments and translate legal requirements into practical business solutions. Good understanding of related regulatory areas, including AML/CTF, DORA, outsourcing and data protection. Experience managing complex, cross-border workstreams and interacting with regulators, external counsel and senior stakeholders. Demonstrated ability to lead and develop team members, review deliverables and manage competing priorities. Strong analytical, legal drafting and problem-solving skills, with a commercial and pragmatic approach. Excellent written and verbal communication skills in English. Why should you choose Coinspaid? You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact. At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so. We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work. Flexible Benefits Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses. Work & Flexibility Fully remote work from almost anywhere Optional offices and relocation support Flexible, async-friendly environment Growth & Learning Budget for courses, certifications, and professional development Language learning support Cross-team learning and knowledge sharing Wellbeing & Support Medical insurance or reimbursement depending on location Access to mental health support Financial support for important life events Extras Merch shop with rewards system Team offsites and company events   Sounds good? Well then, we can’t wait to see your resume! To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/

Location: Remote - Riyadh, Saudi Arabia MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. MinIO is looking for a senior partnership and business development executive to own a flagship strategic partnership end-to-end—commercially, operationally, and strategically—as it scales from initial agreement into a multi-year, multi-workstream engagement across the region's sovereign AI infrastructure landscape. This is a high-visibility, single-account-depth role. You'll sit at the intersection of enterprise sales, channel/reseller strategy, and executive relationship management, with the credibility to operate comfortably at C-level on both sides. What You Will Do Own the day-to-day partnership relationship. Act as the primary point of contact between MinIO and the partner's business and technical teams, keeping both sides aligned on commitments, priorities, and delivery milestones across the joint platform engagement. Expand the commercial scope of the partnership. Identify and negotiate opportunities to grow the relationship — new use cases, new regions, upsells, renewals, and expanded terms — building on the existing agreement. Manage contract renewals and amendments. Own the negotiation of contract renewals, amendments, and expanded commercial terms as the partnership evolves. Build and maintain executive relationships. Serve as the primary business point of contact for partner executives; keep leadership on both sides engaged and aligned on the health and direction of the partnership. Drive partnership-sourced pipeline and revenue. Own quota or targets tied to pipeline and revenue generated through the partnership; work with sales to convert the relationship into closed business. Run joint go-to-market execution. Partner with marketing and sales to execute co-selling motions, joint offers, and campaigns — including reseller/channel activation — that activate the partnership commercially. Manage ongoing partner operations. Run recurring cadences with the partner — QBRs, roadmap syncs, escalation handling — and keep internal stakeholders informed of partnership status, risks, and commercial health. Navigate reseller and channel dynamics. Manage complexity across the partner ecosystem, ensuring commercial terms remain consistent with MinIO's broader channel strategy. Translate partner needs into internal priorities. Bring partner feedback and requirements back to product and engineering, and advocate for the resourcing needed to keep commitments on track — without owning the product roadmap yourself. Track and report on partnership performance. Define and report on KPIs for the partnership — pipeline generated, revenue closed, deployment milestones hit, and overall partnership health — to regional and global leadership. Represent MinIO externally. Represent MinIO alongside the partner at industry events (including flagship regional events such as LEAP), conferences, and executive briefings to strengthen the partnership's visibility in the market. Your Skills and Experience 15–20 years of collective experience across sales, presales, channel/alliances, and business development, ideally within infrastructure, data, or AI/ML companies — with a meaningful portion of that in a strategic partnership or key-account ownership capacity. Deep, demonstrated familiarity with the Saudi Arabia enterprise technology and sovereign-AI/government-adjacent ecosystem — national AI infrastructure initiatives and the broader Vision 2030 digital infrastructure landscape. A track record of managing and growing an existing strategic partnership at scale — expanding scope, renewing and amending contracts, and increasing revenue over multi-year horizons. Comfort owning commercial terms and contract negotiations directly (MSAs, NFRs, exclusivity, revenue share, reseller structures), with support from legal as needed. Strong working knowledge of object storage, data infrastructure, or AI/ML ecosystems — enough to speak credibly with technical stakeholders on topics like sovereign AI infrastructure, inference/training data pipelines, and platform architecture, even though this is not a hands-on technical role. Demonstrated success managing a partner relationship that drove measurable pipeline or revenue growth over time. Excellent relationship-building and executive communication skills — fully comfortable in the room with C-level partners and government-adjacent stakeholders. Experience with co-selling motions, joint go-to-market execution, channel/reseller management, and partner enablement. Bilingual fluency in Arabic and English, with a professional communication style suited to the Gulf enterprise and government context. Based in Riyadh; willing to travel regionally to partner sites, conferences, and industry events as needed. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: New York or Houston DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. Senior Quantitative Power Strategist DRW is seeking a Senior Quantitative Strategist to join the US Power and Natural Gas trading team. This individual will focus on the valuation, structuring, bidding, and risk management of energy transactions, in particular full-requirements and load-following opportunities across US electricity markets. The role will work closely with traders, developers, and other quantitative researchers to build pricing and risk frameworks for complex load obligations. The ideal candidate combines deep knowledge of physical power markets with strong quantitative modeling skills and sound commercial judgment. Responsibilities Develop and maintain quantitative models for US power load auctions, full-requirements transactions, and load-following products. Value complex load obligations by modeling demand, weather sensitivity, hourly shape, customer migration, basis, congestion, losses, capacity, ancillary services, renewable obligations, and other embedded risks. Produce bid recommendations and scenario analyses for utility, municipal, cooperative, and commercial and industrial load opportunities. Design hedge strategies across power, natural gas, capacity, transmission, and environmental products. Work alongside traders to translate market views and portfolio constraints into executable bidding and risk-management strategies. Develop tools for portfolio valuation, position reporting, stress testing, and ongoing performance attribution. Research structural changes in organized power markets and evaluate their implications for load pricing and hedging. Improve market data, forecasting, optimization, and analytical infrastructure in partnership with software engineers and data specialists. Communicate model assumptions, limitations, and commercial implications clearly to trading and senior leadership. Qualifications At least five years of relevant experience in US power trading, quantitative research, structuring, or portfolio management. Direct experience pricing or managing load auctions, full-requirements contracts, or load-following portfolios. Strong understanding of US wholesale power markets, including energy, congestion, capacity, ancillary services, transmission, and environmental products. Solid Experience in Python or a similar language Strong foundation in statistics, probability, optimization, time-series analysis, and Monte Carlo simulation. Bachelor’s, master’s, or doctoral degree in a quantitative discipline such as mathematics, statistics, engineering, computer science, physics, economics, or financial engineering. Strong commercial judgment, intellectual curiosity, and the ability to work effectively in a fast-paced trading environment. Clear written and verbal communication skills. The annual base salary range for this position is $150,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-JW1

Key areas of responsibility: — Leading of the development of the Company's digital environment — Management of the Company's IT infrastructure — Integration and automation of business systems — Leadership of IT teams, budgets, vendors and major technology projects We are looking for a senior IT leader with strong experience in both technology strategy and hands-on operational management, complex transformation projects, infrastructure and cybersecurity, team leadership and stakeholder management. Conditions: — Full-time, office-based with a possible hybrid arrangement — Competitive remuneration + annual performance bonus + medical insurance

Location: Stockholm, Stockholm, Sweden AI Engineer As an AI Engineer, you will help build and scale the AI infrastructure used across EQT Real Estate, enabling investors and operators to create and remix tools ranging from process automation to advanced analytics and interactive applications. You will work directly with users, own projects end-to-end and help turn successful experiments into shared platform capabilities. About the AI team The team builds the technological foundations that allow people across EQT Real Estate to apply AI directly to their work. We partner closely with investors and operators, building across voice, web and chat surfaces and connecting models to the systems, data and tools required to solve real business problems. About the role You will build AI products and platform capabilities from idea through production. Projects are intentionally small enough for one person to own end-to-end, with business users building alongside the team rather than handing over fully formed requirements. The role combines rapid experimentation with the engineering judgment required to make the strongest ideas reliable, reusable and scalable. • Build AI tools alongside users: identify work that should be easier, collaborate on a first useful version and learn from how it performs in real-world use. • Prototype and ship agentic systems that run on EQT Real Estate’s in-house AI harness. • Turn unstructured, business-critical material into agent-ready information that people and downstream systems can use. • Connect internal systems, vendor products, APIs and data sources so AI systems can access the information and tools they need. • Help turn patterns from successful experiments into shared platform capabilities that can scale across teams and geographies. • Own projects independently while working closely with a senior infrastructure engineer on the platform and technical foundations beneath them. About you You are an experienced software engineer who is already absorbed by what modern models can do and eager to discover what they can do inside real work. You are comfortable with ambiguity, value fast feedback and enjoy the point at which an experiment becomes useful enough to deserve robust engineering. Essential • Strong software engineering skills, including practical experience with Python and modern application development. • Hands-on experience building with language or multimodal models, model APIs, retrieval systems, agents or related AI tooling. • Experience working with APIs, databases, backend services, data pipelines or cloud infrastructure. • An experimental mindset paired with sound engineering judgment about what needs to become reliable, observable and maintainable. • Clear written and verbal communication skills, with the ability to build directly with non-technical colleagues and explain technical concepts simply. • Ability to take ownership of loosely defined problems and move quickly from idea to a useful working product. Nice to have • Experience building or operating agentic systems in production. • Experience developing reusable AI platform capabilities or internal developer tooling. • Exposure to investment, real estate or other data-intensive business environments. Real estate experience is not required. What we offer This is a hands-on role in a small team with significant ownership and direct exposure to the people using what you build. You will have a senior engineering colleague to learn from while independently taking projects from experimentation to production. The environment favors fast feedback, simple explanations and the shortest distance between an idea and something people can use. Inclusion at EQT Our vision for EQT employees is to build high performing & engaged teams. Our competitive edge comes from fostering an environment where every individual feels valued, empowered, and motivated to drive business impact. Our commitment to inclusion is not just about fairness; We understand and believe that being a great place to work drives the best performance.At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision-making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes. About EQT EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of more than three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT has €‌​​354​‌ billion in total assets under management (€195​‌ billion in fee-generating assets under management) as of 30 September 2026, within four business segments – Private Capital, Infrastructure, Real Estate and Secondaries. With its roots in the Wallenberg family’s entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does. The EQT AB Group comprises EQT AB (publ) and its direct and indirect subsidiaries, which include general partners and fund managers of EQT funds as well as entities advising EQT funds. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 2,200 employees. More info: www.eqtgroup.com Follow EQT on LinkedIn , X , YouTube and Instagram

Location: Dallas, TX; Oklahoma City, OK; Tulsa, OK Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description As a Senior MicroStation CAD Technician on our Traffic & Technology team at Olsson, you will play a key role in delivering complex traffic engineering and transportation technology projects. You will independently develop and oversee advanced CAD designs and plan production using MicroStation while collaborating closely with engineers, project managers, and other technical professionals. In this role, you will leverage your extensive design and drafting expertise to recommend design approaches, support preliminary design development, perform advanced drafting and design tasks, and solve technical challenges throughout the project lifecycle. You will serve as a trusted technical resource, helping ensure the quality and accuracy of project deliverables, contributing to efficient and effective design solutions, and providing guidance and mentorship to less experienced technicians. You may also participate in client meetings and collaborate across project teams to support successful project delivery. The work you do will directly contribute to transportation solutions that improve mobility, safety, and community infrastructure. We have one current opening and will consider candidates interested in being based in either our Oklahoma City, OK; Tulsa, OK; or Plano, TX office. Qualifications You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: Strong communication and collaboration skills. Ability to work independently while contributing effectively within a multidisciplinary project team. Demonstrated ability to prioritize work, manage multiple assignments, and meet project deadlines. Minimum of six (6) years of CAD drafting and design experience, with significant experience using MicroStation. Advanced proficiency in MicroStation CAD software. Experience preparing and reviewing transportation-related plans and construction documents. Associate's degree in CAD Drafting or a related field preferred. Experience supporting traffic engineering, transportation, or roadway design projects is preferred. Familiarity with Oklahoma Department of Transportation (ODOT) or Oklahoma Turnpike Authority (OTA) standards preferred. #LI-DNP Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Задачи: — пошук та підключення нових джерел Facebook-акаунтів; — робота з партнерами та постачальниками; — тестування нових каналів та моделей залучення акаунтів; — контроль якості та стабільності supply; — масштабування обсягів під потреби media buying команд; — побудова системного процесу роботи з акаунтами. Требования: — практичний досвід у Facebook Account Supply / Rental / Farming; — розуміння Facebook infrastructure; — досвід роботи з постачальниками або власниками акаунтів; — розуміння потреб media buying команд; — вміння самостійно будувати та масштабувати процеси. Будет плюсом: — досвід управління командою або побудови напрямку з нуля. Условия: — можливість розвивати та надалі очолити напрямок; — ресурс на масштабування та побудову команди; — можливість швидко тестувати нові джерела та підходи без зайвої бюрократії; — Remote формат; — фінансові умови обговорюємо індивідуально — орієнтир $2000+, залежно від досвіду та обсягів.

Location: United States Workplace: Remote THE ROLE ClickHouse is the fastest, most resource-efficient open-source database for real-time analytics, and ClickHouse Cloud is growing across every region and segment. Our Solution Architects (SAs) are the technical heart of that growth: They run the proofs of concept, defend the architecture, and win the room against the largest data platforms in the world. You will be the single owner of global technical sales enablement and SA onboarding at ClickHouse. You are integral in deciding what a ClickHouse SA needs to know, say and do in order to be successful, and you wholly own the build out of the programs to get them there. You will measure everything, incorporate AI, and drive real results that time to revenue impact. You are the connective tissue between Product, Product Marketing, Sales leadership, SA leadership, and the field. This is a Principal-level individual contributor role. You lead through influence, the systems you build, and the credibility you earn. WHAT YOU'LL OWN GLOBAL SA ONBOARDING - Design and run the end-to-end onboarding program for new SAs across AMER, EMEA, and APJ. These include but are not limited to: Technical foundations, ClickHouse architecture and internals, demo and POC craft, discovery and objection handling, competitive positioning, and our sales process. - Define and certify ramp. Set clear 30/60/90-day milestones, build the certification and shadow-to-lead progression, and publish time-to-productivity as a metric leadership can see and trust. - Make onboarding regionally real. Adapt the global program to how each theater sells, and coordinate cohort schedules, mentors, and live sessions across time zones. TECHNICAL SALES ENABLEMENT STRATEGY AND EVERBOARDING - Own the global technical enablement plan and its calendar. This includes the quarterly priorities, the programs behind them, and the communication that keeps SA and Sales leadership aligned on what is shipping and why. - Run product-launch readiness for the field. Partner with Product and PMM so SAs have talk tracks, demo environments, hands-on labs, and competitive positioning before General Availability. - Build the competitive and architecture curriculum. Deep dives, battlecards, and objection-handling playbooks against the platforms we meet most (cloud data warehouses, search and observability stacks, and incumbent OLAP systems). - Extend enablement to adjacent technical roles as needed: Account Executives on technical fundamentals, Support on the sales motion, and partners on positioning. DIAGNOSE, THEN PRESCRIBE - Start from signals, not requests. Use call recordings, CRM data, win/loss, POC outcomes, certification results, and conversations with SA leaders to find the skill gaps that actually cost us deals, then classify and prioritize them with data. - Pick the right modality for the gap: hands-on lab, self-serve path, live workshop, AI role-play, peer teaching, or in-the-moment coaching. Measure behavior change and deal outcomes. - Close the loop. Systematically capture what is breaking in the field (friction, lost deals, recurring objections) and route it to Product, PMM, and Sales leadership as actionable recommendations. BUILD AT SCALE - Own the enablement toolchain: the LMS or learning hub, content repositories, certification tracking, and reporting. Keep a single source of truth for what is current. - Activate SME communities. Identify and support the SAs who are already the best at something, and give them the structure to teach it peer-to-peer across regions. STAY IN THE FIELD - Spend roughly 10% of your time in customer-facing moments by joining POCs, account reviews, and live coaching. - Facilitate. You will personally deliver live sessions, virtually and in person, at onboarding cohorts, regional kickoffs, and Kickoff events. OPERATE LIKE AN OWNER - Report on readiness. Define the KPIs (ramp time, certification rates, POC win rate, technical win contribution, workshop effectiveness) and present them in monthly and quarterly business reviews. - Manage the portfolio. Run multiple programs in parallel, protect the plan from ad-hoc drift, and say no with a reason and an alternative. - Expand the charter. This role will grow, potentially into hiring and leading a team, owning SKO technical tracks, partner enablement, or a technical certification program for customers. WHAT SUCCESS LOOKS LIKE IN THE FIRST YEAR - Every new SA worldwide goes through one global onboarding program with a defined ramp, and time-to-first-solo-POC is measured and trending down. - SAs are enabled on every major launch before GA, with demo environments and competitive positioning ready on day one. - Technical enablement priorities are set from field data and reviewed with SA and Sales leadership on a fixed cadence, and leadership can point to the deals and metrics that moved. - A living competitive and architecture curriculum exists, is current, and is used by SAs and, increasingly, by AEs. - SA leaders describe you as part of their extended leadership team, not a service desk. WHAT YOU BRING REQUIRED - 3+ years in a quota-carrying role. You have owned a number as an Account Executive, quota-carrying Solutions Engineer, or equivalent, and you know what it feels like when the quarter is on the line. - 8+ years total across solutions engineering, technical pre-sales, or technical enablement at an enterprise software or data infrastructure company, including experience building and running enablement or onboarding programs. - Deep hands-on data fluency: strong SQL, knowledge of OLAP/analytical databases, data warehousing architectures, streaming and ingestion pipelines, and at least one major cloud. You can run a demo, debug a lab, and read a query plan. - You have been the engineer in the room. You have run POCs, handled objections live, and defended a technical position against a well-funded competitor. - Proven program design and delivery: Needs analysis, curriculum design, facilitation (virtual and in person), certification, and measurement for a technical, global audience. - A self-starter with a bias for building. You create the plan when there is none, you ship version one before it is perfect, and you improve it from evidence. - Leads through influence. You can secure sponsorship from VPs, align cross-functional peers, and hold the field to a standard without a reporting line. - Data-driven and operational: comfortable pulling your own CRM and call-intelligence reports, defining KPIs, and debating the numbers with stakeholders. - Exceptional communicator. You make complex technical concepts accessible without dumbing them down, in writing and on stage. - Global mindset. Experience working across AMER, EMEA, and APJ time zones, and willingness to travel up to ~25% for cohorts, kickoffs, and field time. NICE TO HAVE - Hands-on experience with ClickHouse. - Experience at a high-growth infrastructure company through a major product launch or rapid SA headcount expansion. - Background in both pre-sales and post-sales technical roles. - Demonstrated use of AI tooling to automate content creation, build internal tools, or scale enablement beyond live delivery. - Familiarity with a structured sales methodology (MEDDPICC, Command of the Message, or similar) and with adult-learning or instructional-design principles. - Experience building SME networks, peer-learning cohorts, or technical certification programs. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.