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Location: San Francisco, CA; New York, NY; Atlanta, GA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - Own the full-cycle, end-to-end recruiting processes in a fast paced environment , delivering a high-quality experience for candidates, interviewers, and hiring managers - Partner closely with hiring managers as a trusted advisor to define role requirements, develop compelling position profiles, and align on hiring priorities and timelines - Develop and execute targeted sourcing strategies across multiple channels (LinkedIn, referrals, communities, events, etc.) to attract both active and passive technical talent - Proactively identify, engage, and close top technical candidates in a competitive market - Manage and continuously optimize the interview process, ensuring efficiency, consistency, and equitable hiring practices - Track, analyze, and report on key recruiting metrics (pipeline health, time-to-fill, source effectiveness, candidate experience) and share insights with hiring managers and Sierra leadership on a regular cadence WHAT YOU'LL BRING - 5+ years of full-cycle recruiting experience, preferably in a fast-paced, high-growth tech environment. - Proven ability to develop and execute recruiting strategies that align with business objectives. - A well-established network within the tech industry and a passion for building new connections. - Ability to navigate ambiguity in order to adapt to the ever-changing needs of a growing organization. - Proficiency in using recruiting metrics and data to inform decisions and improve processes. - Strong collaboration skills with a willingness to work cross-functionally to achieve Sierra’s goals. This is 12-month fixed-term position. The benefits listed below vary and not all apply to fixed-term opportunities. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Remote (Global) or onsite/hybrid in Cyprus, Armenia, or Kazakhstan Company: International game development company listed on NASDAQ, focused on bringing core gaming experiences to casual players. What you will do: — Design and develop a framework for creating Playable Ads for the Hero Wars mobile game. — Create efficient internal tools to accelerate the creative development process. — Develop a variety of Playable Ads based on the custom-built engine. — Implement advanced technical solutions and optimize performance across diverse devices. — Act as the lead developer, making key technical decisions and architecture choices. — Mentor and grow the developer team by sharing technical expertise. Requirements: — At least 3 years of experience in Playable Ads development. — In-depth knowledge of JavaScript and commercial experience with Pixi.js or Three.js. — Strong knowledge of shaders and the ability to create FX effects. — Familiarity with Cocos Creator architecture or similar game development tools. — Experience in code optimization and configuring builds with Webpack. — Proficiency with Git and preprocessors like Sass/Less/Stylus or Pug. Culture & Benefits: — Medical care program (including dental) available globally regardless of work location. — Relocation support package available for those joining official offices in Cyprus, Armenia, or Kazakhstan. — Paid vacation days and sick leave to ensure work-life balance. — English language courses, as well as Greek and Armenian lessons for local staff. — Company support for participating in game jams, hackathons, and speaking at conferences. — Vibrant corporate culture with legendary strategic sessions, workshops, and parties.

Location: Home Based - Americas; Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. Marketers at Canonical are brand stewards and demand creators. They transform complex open-source technology into messages, stories, and strategies that shape the market understanding of our vision.  Some focus on differentiated product and portfolio positioning; others specialize in account-based engagement, partner and alliance messaging, or product-led growth. Whatever their specialization, each marketer works as part of a cross-functional unit, contributing campaigns and insights that help the company learn and grow faster. We have a bias for action, focus efforts on the most impactful activities, and take ownership of our results. We work across long buying cycles, balance storytelling with data, design experiments, track outcomes, and iterate rapidly to find what works. Marketers at Canonical don’t just promote open source; they amplify it, ensuring our innovations reach the right people, at the right time, with clarity and purpose from developers to decision makers. As an experienced marketer at Canonical, you’ll lead cross-disciplinary teams of product, partner, or sales professionals in your specific area, from establishing priorities and strategies with senior stakeholders to delivering on integrated campaigns. We are looking for both generalists who want to take ownership of a product portfolio or channel, and for specialists who can help the whole team excel in their domain of expertise. Location: This is a globally remote role; you can be based in EMEA, APAC, or the Americas, depending on the team’s location. The role entails You will take ownership of one of our core marketing tracks and lead both strategy and execution. You’ll ensure campaigns land, launches succeed, and adoption grows, while contributing to the broader go-to-market engine. You will: Lead GTM strategy and campaign execution in your functional area Align with product, sales, content, and partner teams to deliver integrated plans Shape messaging, positioning, and assets that resonate with customers Design and run experiments to test your hypothesis Drive major launches, marketing initiatives, and growth programs Run reviews and retrospectives to improve performance and impact Mentor colleagues, strengthen the function, and set high standards for delivery What we are looking for in you Strong written and verbal communication in English Exceptional academic track record from high school and university Proven experience in B2B marketing, ideally in software, SaaS, or open source Strong track record shaping go-to-market strategy, messaging, and campaigns that move the pipeline Fast adaptation to change and new technology adoption in marketing A leader, growing and elevating others across the organization A solid eye for ROI and effective budget management Ability to influence and align stakeholders across the organization Excellent communication and storytelling skills for technical solutions Skilled at managing complex projects and leading cross-functional teams Comfortable using data to evaluate campaigns and refine strategy Proactive, outcome-driven, and confident, operating independently at a global scale Nice-to-have skills Background in sales-led or ecosystem growth Familiarity with ABM (Account-Based Marketing) approaches Experience leading go-to-market efforts across a large product portfolio Experience managing budgets, agencies, or external vendors Understanding of open source communities and business models Experience mentoring or leading junior marketers What we offer you Your base pay will depend on various factors including your geographical location, level of experience, knowledge and skills. In addition to the benefits above, certain roles are also eligible for additional benefits and rewards including annual bonuses and sales incentives based on revenue or utilization. Our compensation philosophy is to ensure equity right across our global workforce. In addition to a competitive base pay, we provide all team members with additional benefits, which reflect our values and ideals. Please note that additional benefits may apply depending on the work location and, for more information on these, please ask your Talent Partner. 🏠Fully remote working environment - we’ve been working remotely since 2004! 📚Personal learning and development budget of 2,000 USD per annum 💰Annual compensation review 🏆Recognition rewards 🏝 Annual holiday leave 👶Parental Leave 🧑‍💼Employee Assistance Programme 🧳Opportunity to travel to new locations to meet colleagues at ‘sprints’ About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Munich, Germany About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Native German speaker with fluent English proficiency Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. 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: EMEA - Remote, UNITED STATES - Remote Please note that we are unable to consider applications from candidates based in France, Italy, or Germany for this role. Money is moving onto the internet, and the shift has a name: Open Money. This is money that is open, portable, agentic, and owned by you. MetaMask spent the last ten years building it; with 100M+ downloads, users in ~190 countries, and trillions in cumulative transaction volume, it's the most trusted self-custodial financial platform on the internet. Now we're building the operating system for your money: one place to hold, move, grow, and use anything you own.  Join a remote-first, global team rebuilding how money works: a problem that touches everyone, every day. About MetaMask MetaMask is building a future where users can unlock the full product stack through a single, seamless identity experience, enabling access to all features with trust, safety, and minimal friction. Today, identity verification is fragmented across several product and onboarding experiences. Users are repeatedly asked to verify themselves across different services, creating unnecessary friction, inconsistent outcomes, and degraded trust. Universal KYC (UKYC) is a new initiative to solve this problem by creating a single, reusable identity layer across MetaMask. At the centre of this is MetaMask Passport , a product designed to enable users to verify once and unlock multiple experiences across the MetaMask ecosystem. This role sits at the intersection of platform and product experience . You will define the primitives, standards, and user journeys that make identity verification seamless, privacy-conscious, and globally compliant. What you’ll do You will own the vision and roadmap for Universal KYC and MetaMask Passport, defining how a reusable identity layer unlocks the broader MetaMask product stack. You will build the underlying identity platform, creating scalable verification primitives and standards that can be adopted across products. In parallel, you will design a seamless, low-friction KYC experience that reduces time-to-first-transaction while maintaining compliance integrity. You will drive adoption across MetaMask by partnering closely with internal teams to integrate a consistent identity layer, while balancing privacy, trust, and global regulatory requirements. Throughout, you will lead execution end-to-end, aligning cross-functional teams and delivering measurable outcomes. What we are looking for: Proven experience building or scaling identity verification (IDV), KYC, or onboarding products Strong background in fintech , ideally with exposure to Web3 Hands-on experience working with identity verification providers (IDV vendors) such as Sumsub, Veriff, Onfido, Persona, or Stripe Identity Familiarity with compliance workflows , including KYC, KYB, and customer due diligence (CDD) processes Track record of delivering platform products adopted across multiple teams Ability to operate across both technical systems and user experience What Success looks like: Increased KYC completion rates and reduced onboarding friction Reduced time-to-first-transaction across KYC-gated flows Increased reuse of verified identity across products Improved transaction success rate through consistent verification outcomes Strong user trust with minimal friction and compliant execution Attributes that will make you stand out First-principles thinker with strong product judgment Deep user empathy with a focus on reducing friction and cognitive load Strong understanding of trust, privacy, and compliance trade-offs Clear, structured communicator who drives alignment and momentum High ownership and ability to operate in ambiguity Why This Role Matters Universal KYC is a foundational unlock for MetaMask, enabling users to move from fragmented, repetitive identity verification to a seamless, reusable experience across the entire product stack. It establishes a scalable, privacy-conscious identity layer that strengthens user trust while meeting global compliance requirements. This is a high-leverage role at the intersection of access, trust, and growth, critical to unlocking the next phase of MetaMask’s evolution. Don't meet all the requirements? Don't sweat it. We’re passionate about building a diverse team of humans and as such, if you think you've got what it takes for our chaotic-but-fun, remote-friendly, start-up environment—apply anyway, detailing your relevant transferable skills in your cover letter. While we have a pretty good idea of what we need, we're ready for you to challenge our thinking on who needs to be in this role . The salary range listed for this role applies to US-based candidates only. Compensation for candidates based outside the US (including Canada, EMEA, and LATAM) will be determined based on location, experience, and skills during the interview process, and may differ from the listed US range. US pay range (not including bonus, equity or other benefits) $130,000 — $187,000 USD In the rapidly evolving Web3 space, we believe that everyone is a builder. This expansive paradigm requires a range of backgrounds, talents, skills, and experiences to influence and shape the future. At MetaMask, this diversity fuels our ability to shift control and redefine the realm of possibility. We are committed to ensuring that our technology empowers people and communities through decentralized technologies. We welcome the range of perspectives and differences and celebrate them. We're excited to see how your unique skills as a builder can contribute to our vision, drive innovation, and help us shape a more inclusive Web3. MetaMask is an equal opportunity employer. All employment decisions are made without regard to race, color, national origin, ancestry, sex, gender, gender identity or expression, sexual orientation, age, genetic information, religion, disability, medical condition, pregnancy, marital status, family status, veteran status, or any other characteristic protected by law. MetaMask is aware of fraudulent recruitment practices and we encourage all applicants to review our best practices to protect yourself, which can be found on our page. MetaMask may use artificial intelligence (AI) tools to support parts of our recruitment process, such as reviewing applications, screening resumes, or conducting initial candidate assessments. These tools are designed to assist our recruiting team and improve efficiency — they do not replace human judgment. A human recruiter or hiring manager reviews every candidate, and all final hiring decisions are made by people, not AI. It is a requirement of employment in this position that applicants may be required to submit to background and identity verification checks, including but not limited to employment, education, criminal record checks, and other such checks as determined necessary by the company.

Location: Kyiv Workplace: onsite Ajax Systems, an international tech company and the largest manufacturer of security systems in Europe. We are looking for a DevOps Team Lead to join our Platform Team and help us scale, secure, and improve our cloud infrastructure. This role combines hands-on technical ownership with team leadership: you will guide DevOps engineers, define platform priorities, improve reliability, and collaborate closely with product and engineering teams. The System Division develops the Ajax software ecosystem — including OS Malevich, the Video Management System, cloud infrastructure, and client applications. The team ensures the stable operation of all system components as a unified digital platform. Requirements: 5+ years of experience in DevOps, Platform Engineering, SRE, or Cloud Engineering, including 2+ years in a lead or senior ownership role. Strong hands-on experience with Kubernetes, preferably AWS EKS, including cluster operations, networking, autoscaling, workload reliability, and security best practices.Solid AWS experience: VPC, IAM, EC2, RDS, ElastiCache, Route 53, Lambda, Load Balancers, CloudFront/S3 etc. Experience with Infrastructure as Code and configuration management tools, especially Terraform/Terragrunt. Experience with GitOps-based delivery using Argo CD or Flux, and Helm/Kustomize for Kubernetes application management. Strong Linux and TCP/IP networking knowledge, including troubleshooting production systems. Experience with secrets management, access control, and credential rotation practices. Strong observability background: metrics, logs, alerts, SLOs, incident investigation, and tools such as Datadog, Grafana, VictoriaMetrics, ELK, or Opsgenie. Ability to lead technical discussions, explain trade-offs, set priorities, and drive decisions across engineering teams.Strong communication, ownership, task management, and mentoring skills. Desirable: Experience with advanced Kubernetes tooling: Karpenter, KEDA, Envoy, Istio/Linkerd or similar. Experience with streaming platforms such as NATS or Kafka. Operational experience with databases such as MongoDB, MySQL, PostgreSQL, or managed cloud database services. Experience with compliance frameworks such as SOC 2.Background in FinOps, cloud cost optimization, and infrastructure efficiency improvements. Experience with disaster recovery planning, backup strategies, incident response, or production fire drills. Responsibilities: Lead, mentor, and grow the DevOps/Platform team: set technical priorities, support hiring, provide feedback, and foster a culture of ownership and engineering excellence. Own and evolve the Kubernetes platform: cluster architecture, deployment standards, autoscaling, reliability, security practices, and developer experience. Improve CI/CD and GitOps workflows to make deployments safer, more repeatable, and easier for engineering teams. Collaborate with engineering, product, security, and operations teams to align infrastructure improvements with business and product needs. Identify and remove bottlenecks in the software delivery lifecycle, platform operations, and production support processes. Strengthen platform security: access management, secrets management, network controls, compliance requirements, and secure-by-default practices. Build and improve proactive observability: monitoring, alerting, dashboards, incident response processes, and post-incident improvements. Drive cloud cost optimization initiatives and provide practical recommendations for more efficient infrastructure usage. Participate in production support and on-call processes for critical incidents, while continuously improving reliability and reducing operational toil. We offer: The opportunity to suggest and implement your own ideas that directly influence the product and its mass production; A place in a fast-growing company with a motivated and professional team; Competitive salary; Medical insurance; Corporate English classes; The opportunity to participate in Ajax’s internal beta-testing program for security systems; Discounts from partner companies; Discounts on Ajax products. Ajax Systems is a Ukrainian success story that has grown into a global product. Ajax devices are trusted by more than 4.5 million end users and 330,000 PRO users in over 180 countries. The company provides comprehensive solutions to protect residential and commercial properties of all sizes. Today, Ajax portfolio includes 280 devices for intrusion protection, video surveillance, fire safety, and comfort and automation.

Location: Dubai, United Arab Emirates Müller’s Solutions is seeking an experienced and results-driven ServiceNow Service Delivery Manager to oversee the delivery and performance of our ServiceNow solutions. In this role, you will be responsible for managing service delivery teams, ensuring alignment with business goals, and driving continuous improvement in ServiceNow platform operations. Key Responsibilities: Take full responsibility for the overall delivery of the ServiceNow platform services, encompassing: Continuous operations and support, ensuring the platform is always available, reliable, and performing optimally to meet organizational needs. Enhancements driven by the backlog, prioritizing and implementing improvements and new features that align with business objectives and user feedback. Coordination of releases and deployments, managing schedules, resources, and communication to guarantee smooth transitions and minimal disruption. Serve as the main escalation point and decision-maker for delivery-related issues, ensuring that: Problems are resolved quickly through effective troubleshooting, root cause analysis, and engagement with relevant teams. Risks are effectively controlled by proactively identifying potential issues and implementing mitigation strategies. Delivery obligations are fulfilled in accordance with agreed timelines, quality standards, and contract requirements. Collaborate closely with stakeholders to: Comprehend and prioritize demands, balancing competing needs to deliver maximum value to the organization. Question and verify requirements when necessary, ensuring clarity, feasibility, and alignment with strategic goals. Guarantee alignment between business objectives and platform capabilities, facilitating seamless integration and optimal use of ServiceNow features. Provide strong leadership to the delivery teams, which include: Technical consultants and developers, guiding them to apply best practices, innovate, and maintain high code quality. Business analysts, supporting requirement gathering, documentation, and communication between business and technical teams. QA and support personnel, ensuring thorough testing, issue identification, and responsive support services. Lead delivery governance and uphold standards, ensuring: Consistent development practices that adhere to organizational policies and industry standards. Controlled release processes that minimize risk, ensure quality, and provide clear documentation. Alignment to platform design and reuse principles, promoting efficient, maintainable, and scalable solutions. Ensure quality and accountability across delivery, including: Reviewing progress against commitments, conducting regular status meetings and reporting to stakeholders. Monitoring delivery KPIs and SLAs, analyzing performance data to identify trends and areas for improvement. Supporting issue resolution and performance improvement initiatives to enhance service quality and customer satisfaction. Act as a trusted point of contact for stakeholders, capable of: Representing technical and functional decisions clearly and effectively, bridging communication between business and IT teams. Managing expectations and resolving conflicts diplomatically to maintain positive relationships and project momentum. Standing behind delivery teams with confidence, advocating for resources, and providing guidance to overcome challenges. Support continuous improvement of service delivery, including: Identifying inefficiencies and bottlenecks through regular process reviews and feedback collection. Driving optimisation of processes and workflows to increase efficiency, reduce costs, and improve user experience. Promoting effective use of ServiceNow capabilities by encouraging adoption of new features, best practices, and ongoing training. Requirements 7 to 10+ years of experience in Service Delivery, with extensive knowledge of ServiceNow platforms, including: In-depth understanding of various ServiceNow modules and features such as: ITSM ITOM / CMDB HRSD / enterprise services CSM Capable of: Confidently engaging with both technical teams and business stakeholders Critically evaluating requirements and assumptions when necessary Converting high-level requirements into actionable delivery strategies Demonstrated experience in managing: Multiple ServiceNow delivery streams, including operations and enhancements Backlog-driven development prioritization Cross-functional teams Strong knowledge of: Service delivery models and governance frameworks Management of SLAs and KPIs Release and change management procedures Ability to: Assertively participate in stakeholder discussions and justify delivery decisions Effectively support and represent delivery teams Maintain control in complex or high-pressure situations Preferred Qualifications: ITIL Foundation or higher certification ServiceNow Certified System Administrator or other relevant certifications Experience working with Agile methodologies and project management tools Familiarity with automation and workflow optimization within the ServiceNow platform Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic's inference fleet serves Claude to millions of users across our own products and the world's largest cloud platforms. The stack that makes this possible is deep and tightly coupled: accelerator kernels, model servers, distributed routing, autoscaling, capacity management. Every layer affects the others, often in ways that are hard to see in isolation. The Inference System Dynamics team is responsible for understanding that whole system and holding it to a high bar across four dimensions: throughput, latency, reliability, and correctness . We measure how the fleet performs against its theoretical performance frontier, run cross-layer investigations to explain the gaps, and own the correctness checks that make sure Claude's outputs are right, not just fast, across hardware platforms and serving configurations. We don't own the individual components. We instrument and model them, find the highest-leverage opportunities across them, and partner with the owning teams to land the wins. You'll work across all four areas. One week that might mean tracing a tail-latency regression from request timing down through routing and batching into a kernel overhead; the next it might mean tightening a correctness eval so it catches an output regression introduced by a quantization change. We're looking for performance engineers who treat correctness as part of performance. Key Responsibilities Run cross-layer performance investigations across throughput, latency, and reliability, sizing the gap between actual fleet performance and theoretical rooflines, identifying root causes, and quantifying the value of closing them Own and improve the correctness evaluation pipeline that validates model output quality across hardware platforms, numerics, and serving configurations, and lead the investigation when it catches a regression Build the observability, dashboards, and modeling tools that make throughput, latency, cost, reliability, correctness, and their interactions legible across the stack Partner with kernel, serving, routing, autoscaling, and capacity teams to prioritize and land the highest-impact optimizations your analysis surfaces Ruthlessly stack-rank a large surface area of opportunities by impact and effort, and say no to the ones that don't make the cut Minimum Qualifications Hands-on performance engineering experience: profiling, roofline analysis, latency/throughput optimization, and root-cause investigation in complex production systems Proficiency in Python, with the ability to read, instrument, and contribute to large production codebases you didn’t write Solid data analysis skills (e.g. SQL, pandas, or similar) sufficient to turn raw telemetry into clear findings Ability to communicate quantitative results clearly in writing to influence priorities on teams you don't manage Genuine interest in correctness as an engineering discipline: numerics, evaluation design, regression detection Preferred Qualifications Experience with ML systems, especially training or inference infrastructure or general LLM serving stacks. Direct large-scale inference experience is a strong plus Familiarity with GPU/TPU/accelerator performance concepts (memory bandwidth, kernel overheads, quantization, collective communication). Reasoning about these matters more than having written kernels yourself Experience with reliability engineering for high-throughput services: autoscaling, load balancing, request routing, tail latency Experience with model evaluation or numerical regression-detection pipelines Experience building observability or telemetry for distributed systems Comfortable having impact through influence and evidence rather than direct ownership Representative Projects Trace a 350ms latency gap on a new accelerator platform from end-to-end request timing down to a server scheduling overhead, quantify the win, and land the fix directly or with the owning team Redesign the correctness eval gate: determine which signals reliably catch real model-output regressions versus noise, and make it the trusted release criterion across hardware backends Build a FLOPs funnel that breaks down where compute actually goes across the fleet, exposing the gap between achieved throughput and kernel rooflines Root-cause a numerical divergence between two hardware platforms to a specific kernel change, and define the acceptance threshold going forward Model the latency–cost impact of changing batch-sizing and utilization targets, and turn the result into the signal the autoscaler uses in production Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $850,000 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: Home Based - Americas; Home based - EMEA; Office Based - London, UK Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of globally-distributed collaboration, with 1200+ colleagues in 80+ countries and very few roles based in offices. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are privately held with the intention to list on a public exchange. We are expanding our in-house legal team, creating an opportunity for an exceptional lawyer as Legal Advisor or Legal Counsel. The successful candidate will be a rigorous and effective practitioner with a track record of academic achievement and social engagement. At Canonical, you will have the opportunity to work on a variety of compliance and privacy matters in the technology and enterprise software realm, as well as cutting-edge questions of technology, law and product development. In this role we are looking for someone with some experience in compliance, privacy and product development, paired with an ability to learn and tackle new challenges and complex questions. You should be able to demonstrate good commercial judgement and provide high-quality legal and compliance advice. If you have a rigorous work ethic, capability to grasp details, and the ambition to identify opportunities for improvement, this role is for you. Location : This role is home-based in EMEA or the Americas, with an option of working from our London office. The role entails Drafting and  reviewing corporate policies, spearheading process change and deploying controls to meet compliance regulatory requirements globally Helping develop, maintain and scale global privacy programs. This includes conducting PIAs, ROPAs and supporting operational initiatives Working with cross functional with teams to evaluate the impact of privacy and data protection laws and regulations, including AI regulations Providing legal support to various internal clients across the company, including Canonical’s product teams Working with local counsel in many countries to seek and implement advice What we are looking for in you An exceptional academic track record from both high school and university A degree in law, JD or equivalent, and active licence to practise law or current progress towards that Drive and a track record of going above-and-beyond expectations Professional written and spoken English with excellent drafting and presentation skills Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation Appreciative of diversity; polite and effective in a multicultural multinational organisation Ability to stay organised, proactive and efficient Ability to demonstrate good commercial judgement Ability to travel twice a year, for company events up to two weeks long Nice-to-have skills Experience in compliance, data privacy, or product development Leadership and the ability to influence others to embrace new ideas or practices Understanding of the open source software community and values Understanding of the technology industry - silicon, data centers, PCs, connected devices, and software Experience working on in-house legal team and/or law firm What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: Zurich; Geneva Workplace: OnSite Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers who are passionate about Bitcoin and its potential to change the world. Today, Blockstream is the leading Bitcoin company, providing cutting-edge infrastructure solutions for enterprises, institutions, and individual Bitcoin users. We develop industry-leading Bitcoin self-custody solutions, Bitcoin-based financial products, second-layer scaling technologies, and enterprise-grade blockchain infrastructure.   As part of our continued growth strategy, we are expanding our presence within the traditional financial services industry and are seeking a visionary VP, Enterprise Products & Solutions EMEA to lead strategic client engagement, enterprise growth, enterprise sales, and solution adoption across the region.   We are seeking a highly commercial, client-oriented, and consultative enterprise leader with a proven track record of delivering significant sales growth, building strategic institutional relationships, and successfully managing complex consultative enterprise sales engagements across the financial services ecosystem.   This is not a transactional product sales role. It is a strategic enterprise leadership position focused on helping financial institutions navigate complex transformation journeys involving digital assets, Bitcoin infrastructure, and next-generation financial technologies. You will operate at the intersection of enterprise sales, strategic advisory, solution architecture, and long-term client partnership management, engaging with senior stakeholders across investment banks, private banks, hedge funds, family offices, financial market infrastructure providers, and institutional investors.   What You’ll Be Doing (Responsibilities)   Strategic Client Leadership & Market Development - Define and execute the EMEA enterprise growth and enterprise sales strategy together with the Chief Product Officer and global enterprise leadership team. - Drive enterprise revenue growth and strategic account expansion across institutional financial services markets. - Act as a trusted advisor to financial institutions exploring digital assets, Bitcoin infrastructure, and blockchain-enabled financial services. - Build and expand long-term strategic relationships with executive stakeholders, including C-suite leaders, business owners, innovation teams, and technology leadership. - Lead highly consultative enterprise sales engagements focused on understanding client operating models, business challenges, regulatory considerations, commercial objectives, and infrastructure needs. - Drive complex enterprise sales cycles from strategic discovery through solution design, stakeholder alignment, commercial structuring, negotiation, and delivery oversight. - Proven ability to originate, develop, negotiate, and close high-value enterprise opportunities with measurable commercial impact and recurring long-term client value. - Position Blockstream as a credible long-term infrastructure partner within institutional financial markets.   Enterprise Solution Engagement & Delivery Oversight - Partner closely with clients to shape customized enterprise solutions leveraging Bitcoin infrastructure, Layer-2 technologies, digital asset platforms, and interoperability capabilities. - Lead strategic solution discussions across business, operational, compliance, and technical domains. - Oversee enterprise implementation programs and ensure alignment between client expectations, commercial objectives, and delivery realities. - Support the growth and adoption of Liquid and Lightning ecosystems by helping institutions understand practical use cases, operational value, and integration opportunities. - Navigate highly regulated enterprise environments with professionalism, structure, and strong stakeholder management. - Balance client expectations, commercial constraints, and delivery execution while maintaining high-quality enterprise engagement throughout all phases of the client lifecycle.   Cross-Functional Leadership - Build and lead a high-performing enterprise business development and client engagement organization across EMEA. - Collaborate closely with product, engineering, delivery, legal, compliance, and marketing teams to ensure successful enterprise outcomes. - Serve as the strategic bridge between enterprise clients and internal teams, ensuring client feedback informs product evolution, market positioning, and delivery priorities. - Foster a culture of accountability, collaboration, customer obsession, commercial excellence, and execution focus. - Work collaboratively across multiple teams and geographies, demonstrating strong ownership and leadership in fast-moving environments.   Thought Leadership & Industry Presence - Represent Blockstream at industry conferences, executive forums, and client events across the financial services ecosystem. - Contribute to strategic market positioning and thought leadership around institutional Bitcoin adoption and digital asset infrastructure. - Stay closely aligned with market trends, competitive dynamics, regulatory developments, and enterprise transformation priorities across EMEA financial markets.   What We Look For In You (Required Qualifications) - Bachelor’s degree in Finance, Economics, Technology, Business, or related field; MBA or equivalent experience preferred. - 10+ years of experience in enterprise sales, consultative selling, strategic consulting, client engagement, financial technology, or complex solution delivery within financial services. - Proven track record of achieving and exceeding enterprise sales targets and delivering measurable commercial growth within complex B2B and institutional environments. - Demonstrated success managing complex consultative enterprise sales cycles involving multiple stakeholders, long decision-making processes, executive engagement, commercial negotiations, and enterprise transformation initiatives. - Strong experience selling complex technology, infrastructure, SaaS, platform, or transformation solutions into enterprise and institutional clients. - Demonstrated success building and scaling strategic enterprise client relationships and converting strategic advisory engagements into long-term commercial partnerships. - Experience engaging executive-level stakeholders across investment banks, private banks, hedge funds, asset managers, financial infrastructure providers, or enterprise technology organizations. - Strong understanding of enterprise technology environments, financial infrastructure, APIs, integration ecosystems, and operational transformation challenges. - Deep interest in digital assets, Bitcoin infrastructure, blockchain technologies, and institutional adoption trends. - Strong commercial acumen with the ability to balance client expectations, technical complexity, commercial realities, and delivery execution. - Exceptional communication, relationship-building, negotiation, and stakeholder management capabilities. - Comfortable operating in fast-moving, highly entrepreneurial, and globally distributed environments. - Self-starter with strong ownership mentality and ability to collaborate effectively across functions, cultures, and geographies.   Languages - Swiss German and/or German required - English required - French and/or Italian strongly preferred   Location Switzerland, with primary focus on Zurich and Zug   Nice To Haves (Preferred Qualifications) - Experience working with digital asset platforms, custody infrastructure, blockchain technologies, or institutional crypto solutions. - Exposure to core banking platforms such as avaloq or similar enterprise financial systems. - Background in enterprise SaaS, managed services, fintech infrastructure, or long-term client operations. - Experience scaling enterprise organizations within financial technology or infrastructure businesses. - Existing network within Swiss and broader EMEA financial services markets.   What We Offer - Competitive compensation package with performance-based incentives - Equity participation in a high-growth global technology company - Flexible work arrangements, including hybrid and remote options - Opportunity to shape the future of institutional Bitcoin infrastructure alongside a world-class global team - High-impact role with visibility across enterprise strategy, product evolution, and market expansion

Location: Los Angeles, United States 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) If you’re interested in learning more about this opportunity or beginning the interview process, feel free to connect directly via: LinkedIn: https://www.linkedin.com/in/ra... Industrial Engineer – Effectors An advanced aerospace and defense technology company is seeking an Industrial Engineer to help architect and scale next-generation production systems for high-volume autonomous and interceptor platforms. This role is focused on factory design, production system architecture, capacity planning, and manufacturing scale-up. The ideal candidate has experience building production systems from the ground up and understands how to optimize manufacturing operations for throughput, cost, quality, and scalability. This is a highly hands-on and high-ownership role where you’ll help shape manufacturing strategy from early prototype builds through sustained high-rate production. Responsibilities Factory & Production System Design Design scalable factory layouts optimized for flow, throughput, takt time, and operational efficiency Develop production cell concepts for manual, semi-automated, and automated assembly environments Build value stream maps and future-state production workflows Define workstation layouts, labor allocation models, and material flow strategies Design inventory flow concepts including kitting, supermarkets, and point-of-use systems Support production facility build-outs, line expansion planning, and manufacturing infrastructure development Capacity Planning & Rate Scaling Build detailed production rate and throughput models tied to manufacturing demand forecasts Analyze: Takt time Cycle time Throughput Bottlenecks Labor efficiency Capacity constraints Develop scaling strategies for pilot production, low-rate builds, and future high-volume manufacturing Create multi-scenario production plans supporting rate ramps and supplier scaling Identify manufacturing readiness risks and mitigation strategies Production Optimization & Continuous Improvement Implement lean manufacturing principles across production workflows Drive line balancing, waste reduction, and flow optimization initiatives Conduct time studies and labor productivity analysis Support OEE tracking and production performance measurement systems Analyze yield, throughput, cycle time, and rework metrics to improve operational efficiency Help develop standardized work instructions and scalable manufacturing processes Cross-Functional Manufacturing Support Partner closely with manufacturing engineering, supply chain, facilities, quality, and operations teams Participate in design-for-producibility reviews and manufacturing trade studies Support make-versus-buy decisions and contract manufacturing evaluations Assist with supplier industrialization and manufacturing readiness assessments Provide hands-on support during prototype builds, production ramp events, and early manufacturing operations Qualifications Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, Systems Engineering, or related technical discipline 5+ years of experience in factory design, production system optimization, manufacturing scale-up, or industrial engineering Experience building or supporting high-rate manufacturing environments Strong understanding of: Lean manufacturing Capacity planning Value stream mapping Takt time and cycle time analysis OEE measurement Line balancing Throughput optimization Experience supporting production ramp or greenfield manufacturing build-outs Experience developing production rate models using Excel, Python, VBA, simulation tools, or similar platforms Comfortable working in fast-paced startup or development-stage manufacturing environments U.S. citizenship required; ability to obtain and maintain a DoD security clearance required Preferred Experience Aerospace, defense, automotive, robotics, semiconductor, or other high-volume manufacturing industries Production systems supporting complex electromechanical hardware Factory simulation or digital manufacturing tools such as: FlexSim AnyLogic Arena Simulink ERP, MES, or PLM integration experience High-rate automated assembly or robotics manufacturing Experience scaling manufacturing operations from prototype through production Startup or greenfield factory build-out experience Contract manufacturing and supplier industrialization exposure What Makes This Opportunity Unique This role offers the opportunity to help build a manufacturing operation from the ground up inside a rapidly growing aerospace and defense environment. The team is looking for engineers who understand not only how to optimize existing factories, but how to architect scalable production systems from scratch — balancing cost, throughput, automation, and manufacturability for future high-rate production. You’ll work closely with both engineering and operations leadership while helping define the long-term production strategy for next-generation hardware platforms. Additional Information Competitive compensation and equity package Comprehensive healthcare coverage 401(k) matching PTO flexibility Relocation assistance may be available Full-time onsite collaboration environment U.S. citizenship required due to security and export control requirements 📍 Location: The Greater Los Angeles Metropolitan Area, CA (Onsite) To learn more or express interest, connect directly via: LinkedIn: https://www.linkedin.com/in/ra... Salary: $110,000 – $160,000 / year

Location: Munich Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - GTM technical expert: Design and demo Sierra’s incredible Agent product, offering technical solutions to solve for our customer’s needs, and answering technical questions about our solutions. - Cross-functional work: You will work directly with our Sales, Product and Agent Engineering teams to both drive our GTM function, as well as continuously improve our Agents through our customer-driven product development philosophy. - Lead & support our customers: As a GTM and technical leader in the earliest conversations with our future customers, you will both understand and anticipate their needs to continue our industry-leading AI solution. WHAT YOU'LL BRING - 5-7+ years experience in Sales Engineering, Solutions Engineering or customer-facing technical sales. - Past experience in demo building, and presenting, and working with customers or clients in the GTM function. - Experience in relationship-building with potential customers, including executives and technical leaders. - Experience in leading the sales process with Enterprise customers. - Ability to connect a prospect’s specific business problems and Sierra’s solutions and explain them to both a technical and non-technical audience - Ability to leverage AI tools efficiently as a regular part of your technical sales motion — discovery prep, solution design, demo and prototype building, technical proposals. With that, you know where these tools can help and where human judgment still is required. Importantly, you own the accuracy of anything you put in front of a customer, whether or not AI helped you build it. This ownership looks like us not saying "[AI tool of choice] built this", but "I built this with [AI tool of choice]." - Bachelor's Degree or above; bonus if in Computer Science or related field, or equivalent professional experience. EVEN BETTER... - Experience translating code, technical logic and user requirements to product and engineering requirements. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Canada, Remote Workplace: remote Introduction to the Team & Role This is a rare opportunity to join our North American team as an Enterprise Account Executive, where you will be instrumental in fueling revenue growth by engaging the largest and most strategic organizations (5,000+ employees). We are seeking a strategic hunter energized by the challenge of winning executive mindshare against established incumbents. This role requires flawlessly executing complex, consultative sales cycles and aggressively multi-threading high-value accounts. As a remote-first organization, your success will also involve an exciting and challenging requirement for regular travel (up to 25%) to key customer sites for executive meetings and strategic deal checkpoints. This is a chance for a driven professional to showcase strategic thinking, keen business acumen, and unwavering ownership, making a direct impact on company growth alongside a high-performing and ambitious team. What You'll Do Within 1 month, you will: Master the product demo and pitch Start accepting qualified leads Integrate into our remote-first culture of Convexity and build relationships with your team Within 3 months, you will: Develop territory plans Build and manage your own pipeline Run strategic prospect meetings Become knowledgeable in Learning & Development market trends, emerging technologies, and competitors Close your first deals! Within 6 months, you will: Drive revenue generation through qualifying leads and closing new business opportunities Meet and exceed all quarterly sales quotas Help mentor junior Account Executives Within 12 months, you will: Contribute as a subject matter expert on the 360Learning platform and share your knowledge with the rest of the organization and externally Tackle more complex, multi-threaded deals The Skill Set At least 5 years of experience in a B2B SaaS environment as an Account Executive (Preferably with experience selling learning solutions like an LMS or LXP, or selling an HR Tech product) Formal training on selling methodology (Challenger, SPIN, PURPOSE, MEDDIC) A growth mindset and a life-long learning attitude Strong analytical and organizational skills Strong written and verbal communication skills Experience executing complex software/platform demos in your previous sales processes A Bachelor’s degree or higher level of education Enthusiasm for our working environment of Convexity explained here: https://bit.ly/Convexity360L What We Offer Compensation: Pay structure includes base salary, variable incentive pay, and company equity 📈 Benefits/Perks : Comprehensive health insurance starting your first day of employment 🏥 RRSP contribution matching 🏦 Generous parental leave 👶 Professional development opportunities through our own platform 📚 Balance: We offer unlimited days of annual PTO 🌴 5 days for sick leave 🤒 Holiday time in accordance with the Ontario Holiday Calendar 🗓 Flexible & Remote Work Options: Within your home province 🏠: fully remote, and outside your home province 🌍: work from anywhere! Subject to Remote Committee approval and standard guidelines (1 year of tenure, performance, destination, length, etc.) Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture : A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process Phone screen with the Talent Acquisition Manager Discovery Meeting with the Director, Enterprise Sales Team Meeting & Case Study Presentation with an Enterprise AE, and two Sales Leaders Culture-fit interview with an Executive Leader References & Offer! → Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Bangalore, India 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 research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. 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). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). 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: Brussels, Belgium 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 research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. 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). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). 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: Abu Dhabi, United Arab Emirates 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 research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. 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). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). 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: Amsterdam, Netherlands 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 research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. 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). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). 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: Barcelona, Spain 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 research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. 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). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). 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.