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Location: Mississauga Workplace: remote At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.   With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.    At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.   Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.     **Travel to Office expectations** For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.   For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role. Position Summary:     We are looking for a Principal Salesforce Architect, reporting to the Director – Enterprise Architecture, to work with the IT team, product teams, as well as senior executives to drive the design of our enterprise domain taxonomy.  As a Salesforce Architect, you will be required to represent deep expertise on modernization and transformation of mission critical applications facilitated by aligning these applications to their core business domains. The ideal candidate will champion business and technology alignment of core capabilities ensuring the buildout of an enterprise taxonomy framework which will underpin domain roadmaps and technology transformation.  We are seeking a candidate who has great breadth and depth of experience when it comes to developing business relationships and ensuring technology alignment.   Key Responsibilities:   •Execute the strategic vision for the Enterprise Architecture practice under the guidance of leadership •Collaborate with domain architects, engineers, and leaders to develop technical standards, reference architectures, design patterns, opinion papers, and architecture decision frameworks that guide technology solutions, especially those requiring integration of multiple platforms, operating systems, and applications across the business. •Develop and manage a technical strategy and coordinates adoption. This individual will be responsible for architecting enterprise guidance that conveys standard processes and common pitfalls for system design, infrastructure integrations, application development practices, and application runtime principles. •Manage the architecture review process by creating validation checklists, reviewing architectural artifacts, and providing domain specific guidance to drive architectural alignment across the enterprise. •Translate business requirements into well architected solutions that best leverage the Salesforce com platform •Design and develop effective and efficient end to end solutions for complex business problems •Apply architectural and engineering concepts to design solutions that meet operational requirements, such as scalability, maintainability, security, reliability, extensibility, flexibility, availability, and manageability. •Manage the technical delivery of custom development integrations and data migration elements of a Salesforce com implementation •Technical Strategy Development: Develop and execute a comprehensive technical strategy for Salesforce platform encompassing architecture design development integration and maintenance •Conduct research and develop Proof of Concepts on emerging technologies and implementation toolkits in support of anticipated development efforts and recommend technologies that are functionally robust and cost effective. •Research, enforce, and drive the adoption of design patterns throughout the enterprise and evangelize standard processes for solution design and development. •Contribute to producing target state solution architectures, conducting architectural assessments and gap analyses, and shaping the overall solution strategy and roadmap •Partner with data architect(s) to support data management practices, ensuring data integrity, security, and compliance •Partner with integration architect(s) to support integration strategies ensuring seamless communication and data flow across various systems •Work closely with solution architects to ensure that individual solutions align with the overall enterprise architecture •Collaborate with business leaders to create business capability models that align technology capabilities with business needs •Contribute to building a vibrant ‘learning community’ within the enterprise architecture discipline, fostering continuous improvement and consistently delivering value to various business units   Required Experience & Skills:    •Bachelor's or Master's degree in Computer science, Information Technology, or a related field •5+ years of experience as a senior domain architect or senior enterprise architect. •Prior experience as a Principal Salesforce Architect in a global organization working with Salesforce Connected Apps (applications from SalesForce App Exchange) •Proven experience designing and delivering complex B2B SaaS Salesforce solutions. •Led at least two large-scale Product-to-Cash (CPQ/RCA) implementations from design to go-live, with 5+ years of experience defining Salesforce architecture across quoting, contracting, fulfilment, billing, revenue, customer success, and customer support. •Familiarity with managed packages such as Gong, DocuSign CLM, Kantata, Gainsight, Showpad, Qualtrics, or similar enterprise apps would be a plus. •Experience with planning and leading architecture delivery for large-scale business and systems transformation programs is a must •Proven track record of successfully leading large scale Salesforce initiatives from concept to delivery •Deep understanding of Salesforce architecture capabilities and ecosystem including Sales Cloud Service Cloud Marketing Cloud and Community Cloud or SuccessFactors ecosystem. •Strong leadership and interpersonal skills with the ability to effectively communicate complex technical concepts to non-technical stakeholders •Salesforce certifications such as Salesforce Certified Technical Architect CTA Salesforce Certified Application Architect or Salesforce Certified System Architect preferred •5 years of Hands-on enterprise architecture framework experience (TOGAF, C4, Archimate etc.) •Strong analytical, problem-solving, communication skills •Previous roles with a focus on data architecture, application or solution architecture, integration, risk management, and technology standards •Strong understanding of security architecture principles and practices. •Proven experience in business capability modeling and translating business needs into technology solutions     Generative AI Code Assistants - Use of Generative AI Code Assistants (e.g. Github Copilot) and knowledge of latest Generative AI Model capabilities would be an asset.     #LI-AJ1 #LI-hybrid PointClickCare Benefits & Perks:   Benefits starting from Day 1! Retirement Plan Matching Flexible Paid Time Off Wellness Support Programs and Resources Parental & Caregiver Leaves Fertility & Adoption Support Continuous Development Support Program Employee Assistance Program Allyship and Inclusion Communities Employee Recognition … and more!   It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.   When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com    PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information. At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $139,400-$174,300 + bonus + benefits. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all CAD locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.

Location: Paris; Lisbon Build with us Businesses deserve better from finance. Less friction, more freedom. Since 2004, Mollie has been on a mission to make payments and money management effortless for every business in Europe. Today, more than 250,000 companies trust our all-in-one platform to get paid, manage money and grow on their terms. Simple, scalable and built with real businesses in mind. We’re one of Europe’s fastest-growing fintechs, with 900+ Mollies across 12+ locations. Our people make this growth possible. We move fast, build with purpose and care deeply about our customers. Whether you’re solving problems, building market-leading products or exploring how AI can make work smarter, you’ll have the freedom to create and the trust to deliver. If you’re ready to grow, shape the future of fintech and join an ambitious, high-performing team, this is the place for you. Your impact You’ll be based out of the Paris or Lisbon office, and regularly travelling to our office in the Netherlands. You’ll be building and closing relationships with Technology companies across the country. You are data-driven and can independently manage a pipeline of partnership opportunities, solving for short-term impact while executing the long-term strategy. These tech partnerships are predominantly focused on embedded payment solutions in among others the Hotel & Booking, Ticketing and Food Order verticals. What you’ll ship - Scan the market in the France for potential partnerships opportunities, reaching out to these potential partners - Drive the partnerships opportunity pipeline in the region - Develop and review business and uses cases for new partnership opportunities - Take full responsibility for guiding partnerships prospects from first contact and build this partnership towards success Mainly for the complex and strategic partners that Mollie works with, by building long term relationships on C-Level. - Developing and redefining the go-to-market strategies for the Technology Partnerships channel, working with local leadership to ensure alignment with the wider commercial strategy in each region (across Sales, Marketing etc.) - Represent Mollie at industry events across Europe, in order to expand Mollie’s positioning as a leader in the embedded payments space What you will bring - Experience: 5+ years of experience in a similar role, with a proven and consistent track record of exceeding sales targets and closing complex, high-value deals. - Significant experience in managing a sales pipeline that consists of both larger strategic business development deals and smaller / high velocity deals as well as a track record in managing deals and negotiations first-hand - Proven track record in selling SaaS software and advanced skills in forecasting and reporting towards senior leadership. - Cross-functional experience working with various internal and external stakeholders in an international environment - A strategic and analytical mindset and strong problem-solving and communication skills - Ability to connect easily with potential partners and build trust-based relationships - Mastery of negotiation techniques and the ability to navigate difficult conversations to a mutually beneficial outcome. Grow your way At Mollie, growth is personal. We believe everyone should have the chance to develop their skills, explore new challenges and shape their career on their own terms. You'll get regular feedback and performance reviews to support your development, with fair and transparent salary reviews along the way. Many Mollies move into new roles or take on new projects to stretch themselves, and we actively hire from within to help you take the next step. No matter if you're aiming for promotion, exploring a different career path or building new skills, you'll be supported with the tools, trust and opportunities to grow your way. Unlock your full potential and join us to eliminate financial bureaucracy If you're excited by the idea of building what's next, for yourself and for thousands of businesses across Europe, we'd love to hear from you. Apply with your CV (in English) using the form below. Want a peek behind the scenes? Check out what life at Mollie https://jobs.mollie.com/ is really like. AI at Mollie We believe in Always Be Shipping, and AI https://jobs.mollie.com/ai-manifestobrings that philosophy to life across every team, every role, every day AI is core to how we build. It helps us move faster, simplify work and make smarter decisions, creating real impact for the businesses we serve. We're looking for people who are excited to use AI to shape the future of finance with us.

Location: ES - Seville, Spain Scopely is looking for a Principal UX designer to join our Monopoly GO! team in Seville (Spain) on a hybrid basis! At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. Monopoly GO! is our casual game and a key franchise that has Scopely’s largest game, enjoyed by millions of players. The team is based in Canada, Europe and the US, and works every day to create captivating new experiences for our players. What You Will Do: In this Principal UX Design role, you work in close partnership with our product and development teams to create new gameplay experiences for players. Own the end-to-end UX strategy and execution for a product area, driving initiatives independently from discovery through implementation Identify opportunities to improve the player experience through product thinking, player insights and data Lead discovery initiatives to deepen our understanding of player behaviors, motivations and opportunities Drive ideation of new concepts, facilitating workshops, brainstorming sessions, conceptual designs and prototypes to validate ideas early Create innovative player experiences while balancing creativity with product goals, technical constraints and production realities Help evolve UX frameworks, principles and design patterns that promote consistency, scalability and high-quality player experiences across the game Champion user research as an essential part of the UX process, partnering with Research to identify risks, define learning objectives and translate findings into product decisions Deliver high-quality designs, prototypes and documentation that clearly communicate the intended player experience to Product, Engineering and Art Build strong cross-functional relationships, proactively driving alignment and helping teams navigate ambiguity to reach the best player-focused solutions Contribute to the growth of the UX discipline by sharing knowledge, raising quality standards and helping build a collaborative design culture What We’re Looking For: 8+ years of experience designing user experiences for games Proven track record of creating impactful gameplay features with deep expertise in game mechanics, player motivations, progression systems, rewards and player psychology Strong product thinking, with the ability to balance player needs, business goals and technical constraints when making design decisions Experience independently owning complex product areas and driving work forward Expertise creating prototypes to validate ideas, identify risks early and iterate quickly Ability to seamlessly move between tactical execution and strategic thinking, ensuring day-to-day design decisions support broader product goals Excellent stakeholder management skills with the ability to challenge assumptions constructively, influence decisions through collaboration and build alignment across disciplines Highly collaborative designer who proactively shares ideas, seeks feedback and contributes positively to team culture Strong communication, diplomacy and relationship building skills, with the ability to navigate disagreements professionally while keeping player experience at the center of decision making Comfortable working in ambiguity, proactively identifying opportunities and taking ownership to move initiatives forward Passion for mentoring, raising craft quality and contributing to the continuous improvement of the UX discipline About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Limassol, Cyprus Workplace: fully Sumsub is the first AI-powered trust infrastructure for compliance operations at scale. It connects identity and business verification, fraud prevention, transaction monitoring, and risk workflows, helping teams reduce manual work and enter new markets. Trusted by over 4,000 clients across financial services, crypto, mobility, trading, marketplaces, education, and iGaming, including Bybit, Bitpanda, Wirex, Avis, Vodafone, Duolingo, and Kaizen Gaming. Sumsub is recognized as a Great Place To Work® in the US and rated 4.3 out of 5 on Glassdoor. Our 1,000+ people around the world back it up, too: 92% are proud to be Sumsubers, and 90% say their work is interesting and challenging. We are looking for a DocuSign Workflow Manager to manage and improve our CLM and e-Signature workflows in DocuSign and support financial documentation processes. What You Will Be Doing: Configure and maintain DocuSign CLM workflows, Document Generation Forms, and templates, including conditional routing, approvals, and automated reminders. Diagnose routing, field-mapping, template, signature, and integration issues, coordinating with developers when required. Gather requirements from internal teams and translate them into clear system improvements. Develop and maintain processes for preparing, verifying, categorizing, and archiving financial documents. Maintain documentation on workflows, templates, and system changes. Train internal users on DocuSign processes and best practices. About You: Hands-on experience with DocuSign workflow configuration, template management, and troubleshooting. Experience with DocuSign CLM and e-Signature is a strong advantage. Proven ability to build and improve document management processes. Experience gathering requirements and working with developers or external vendors. Strong logical thinking, organizational skills, and attention to detail. Strong communication skills and confidence training non-technical users. Fluent English. What We Offer: Remote-first, trust-based culture. Work from the place that works best for you. No mandatory office days, no attendance trackers. In some locations, we provide offices or coworking spaces, but the choice is yours. True flexibility. We do not fix you to a 9-to-5 schedule. You can adjust your working hours when needed, as long as your day stays productive and in sync with the team. Extra time off. Your birthday is a holiday here. Add to that 10 personal days each year, seven sick days without paperwork, and extra time to enjoy Christmas and New Year. Time to rest is part of the deal. Work that matters. Our mission is to build a digital world that is secure, accessible and inclusive for everyone. From fighting fraud to making online services easier and safer to use, your work will have a real impact on how people experience trust online. Compensation. We offer fair and transparent pay, benchmarked to the market. Truly global. We work across continents and time zones, with teammates and customers from all over the world. You will run campaigns that cross borders, cultures, and languages, and see your ideas land worldwide. Growth built in. Clear goals, open feedback and personal development plans. We support your progress with learning opportunities and by covering role-specific events, from design conferences to marketing forums. Celebrating your big moments. We are proud to support you through life’s biggest journeys with dedicated financial bonuses for both marriage and welcoming a new baby to your family. Team offsites. Sometimes just Slack is not enough. That is why we meet in person a few times a year. Trips are fully covered, so you can meet, collaborate, and recharge together. Getting you set up. We make sure you have access to the tools and hardware you need to do your work well. Friendly by design. Our logo is a dog for a reason. We keep things human, open and kind. We welcome individuality, quirks and different perspectives, because that is what makes our work smarter and more fun. The hiring stages: TA screening -> Hiring Manager Interview -> Final Interview. Sounds like a great opportunity for your career development? Then go ahead and apply! We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively. We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions. We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions. This role is open to candidates in multiple countries, and compensation differs based on the candidate’s confirmed work location. For this reason, a single universal salary range is not included in this job posting. The applicable work location will be confirmed early in the recruitment process, and the relevant compensation information for that location will be shared in writing, in line with local requirements.

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.   Processing 2+ million daily interactions between adjoe's reward engine and its global publisher network The Supply Integrations team builds and operates the services that ensure every user reward is calculated, verified, and delivered, whether that means firing a cryptographically signed HTTP callback in milliseconds or transferring loyalty points through a partner's OAuth-secured payment API. Every callback that lands on time is a reward delivered, a publisher retained, and revenue protected. The team's production surface spans a set of services connecting adjoe to a global publisher network. S2S Payout Callbacks deliver real-time reward notifications with 40+ configurable parameters, secured by per-publisher cryptographic signatures. The Payout Adapter integrates directly with enterprise partner payment systems, handling OAuth2 flows, mTLS, HMAC signatures, and retry logic to guarantee delivery. Our External Statistics API aggregates data from Druid, Athena, and DynamoDB into self-serve publisher dashboards and daily reports. All of this is backed by Go microservices communicating over Kafka and SQS, with state managed in DynamoDB and MySQL, processing over 2 million interactions every day without missing a beat. YOUR MISSION & WHO WE ARE LOOKING FOR - Production Golang Systems Expertise: You bring 5+ years of backend development experience, including at least 3 years writing Go in production distributed environments. You will build and maintain our +99% Go microservice architecture—interfacing with our TypeScript/React frontend—to reliably handle 2+ million daily publisher interactions and scale beyond hundreds of millions of monthly active users. - High-Throughput Event Streaming: You have hands-on experience designing asynchronous microservice communication using event buses like Kafka, SQS/SNS, and Kinesis. You will build pipelines to collect billions of daily API events and aggregate them into our data lake for sub-second querying. - High-Scale Data & API Optimization: You understand database internals and low-level web standards (HTTP protocol, Encoding, Regular Expressions). You will optimize queries across hundreds of terabytes of data across DynamoDB, MySQL, Druid, and Athena to reduce API response times and expose transparent, well-documented open APIs to enterprise partners. - Data Science & Algorithmic Integration: You quickly grasp complex technical topics and applied mathematics. You will partner directly with our Data Science team to translate and integrate machine learning algorithms into adjoe’s core application, optimizing real-time ad targeting. - Collaborative Technical Communication: You communicate fluently and precisely in spoken and written English. You will actively participate in peer code reviews and technical knowledge sharing across an international backend engineering team. - Plus: Infrastructure & Cloud Tooling: Hands-on experience with Terraform (Infrastructure as Code), Docker containerization, or serverless infrastructure. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.   At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: London The Role We are looking for a Senior Engineer to join our growing engineering team, and build out our backend third party integration systems as we scale. For us, this isn’t just about technical performance, but also supporting the internal human processes that will always power much of our product. You will work closely with Product, Operations, Customer Support, Growth and other functions to design and build out a reliable, performant, and secure platform for handling remittances across countries. As an early member of the team, we hope you will also have a lot of impact on our team culture, processes and norms. Taptap Send is a cross-platform mobile app developed with React Native and TypeScript, which talks to a backend service written in Kotlin and backed by a PostgreSQL database, all of which runs on AWS and is managed via Terraform and Ansible. This is a backend-focused role, but you will have plenty of opportunities to work across the stack to bring Taptap Send's industry-leading product to new countries.. We’re an encouraging environment that values both teamwork and autonomy, and have many exciting upcoming challenges, including: scaling up to handle increased volume and complexity, helping our analysts derive business and product insights to drive growth and retention, building internal tools for our customer support and acquisition efforts, and much more!   Your Responsibilities: - Build out unified interface encapsulating dozens of third party payment integrations - Work on one of the pillar revenue centers of the organization - Take ownership of backend system architecture and implementation - Build performant and resilient data flows; keeping security in mind during every step - Work closely with product team to regularly ship working features - Work in an iterative fashion - Evaluate and deliver timeline estimates   Requirements: - 7+ years of professional experience building backend systems - Proficiency with Kotlin or Java / JVM - Proficiency with PostgreSQL - Experience with AWS: S3, SQS, SNS, Lambda, etc. - Experience implementing and managing elaborate integrations with third-party APIs - Experience working on systems that have real-world performance and reliability constraints - Experience developing software in a collaborative, multi-functional, and fast-paced environment - Strong communication and ability to manage conflicting priorities, setting expectations with stakeholders and be a driving force   Ideally: - Experience working with Infrastructure as Code technologies, like Terraform and Ansible - Experience with SRE or similar infrastructure work - Experience with Data Engineering concepts and workflows - High personal code/development standards (code review, unit testing, documentation, etc.) About Us   We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fuelling local economies, and changing how millions access financial services.   Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features.   We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation.   Here’s a little more: - Founded by Harvard grads and 3-time founders who previously built Segovia (acquired) and GiveDirectly (>$300M revenue, fastest-growing NGO in the world) - Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and more - Built by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our mission - Truly global team - 250+ people, 50+ nationalities, 50+ languages - Guided by our values - ownership, impact, humility, and heart - in deed, not just word   TAPTAP VALUES https://www.taptapsend.com/our-values Impact first Team next Accept reality Propose solutions Win with grit Be proactively candid, with yourself and others Love the particular Own it Create positive energy Maybe, even have fun   Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply. If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements. Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.

Location: London Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION The Global Account Manager – Financial Services will own UiPath’s relationship with a small number of high revenue strategic banking customers and lead our engagements with them at a global level. Sitting within our UK Banking go-to-market team, you'll act as the CEO for a portfolio of top-tier global banking accounts, orchestrating sales, delivery, and executive stakeholders across regions to unlock enterprise-wide value. You will work every day across the C-Suite, Digital Transformation, AI/Automation COE's, Operations, Risk, Compliance, Finance, and Technology teams to deliver value through UiPath’s automation and AI platform. We provide technology and solutions that help financial institutions streamline operations, improve accuracy, reduce risk, enhance compliance, and free employees to focus on higher-value work. You will be challenged and supported by the best in the industry as you build trusted relationships and pave your own path to success. WHAT YOU'LL DO AT UIPATH - Assess territory potential and develop a sales vision, strategy and plan to elevate UiPath in and maximize value and revenue across Financial Services accounts. Lead, orchestrate and inspire Account Teams in executing against the Account Vision and Plan - Achieve agreed-upon sales targets and outcomes within quarterly schedules - Own commercial strategy for the account, leading complex, multi-stakeholder negotiations and structuring multi-year enterprise agreements - Maintain accurate forecasting and pipeline hygiene across the account, reporting progress against quota to senior leadership - Evangelize the UiPath brand by presenting, promoting, and selling UiPath solutions through a value-selling approach - Educate customers on how UiPath can improve efficiency, reduce operational costs, strengthen controls, and support digital transformation - Establish, develop, elevate and maintain positive business and customer relationships across the territory. Be a thought leader across the portfolio - Develop trusted relationships with local partners and global systems integrators to cultivate new opportunities and drive successful customer implementations - Partner with Customer Success Managers to ensure enduring value delivery - Monitor industry competitors, new products, regulatory trends, and market conditions to understand customer needs and bring relevant thought leadership to your customers - Collaborate internally with sales executives and cross-functional teams to share knowledge and best practices - Explore ways to incorporate automation into daily work and financial services workflows WHAT YOU'LL BRING TO THE TEAM - 8+ years of solution/value selling experience - 3+ years of enterprise account experience selling to Financial Services/Banking customers preferred along with a wide network of contacts across the Industry - Demonstrated expertise communicating artificial intelligence capabilities, ROI metrics, and implementation strategies to C-suite executives, Digital Transformation teams, and AI Centers of Excellence - Ability to translate complex AI and automation concepts into business outcomes such as cost reduction, improved controls, faster processing, risk mitigation, and enhanced customer experience - Familiarity with financial services priorities such as regulatory compliance, fraud prevention, KYC/AML, audit readiness, operational resilience, and back-office transformation, along with the vendor risk assessments, data residency requirements, and third-party risk frameworks common to regulated banking procurement - Ability to communicate new and complex concepts in an easy-to-understand way that creates strong demand for the solution - Successful year-over-year quota attainment and experience retaining and growing an enterprise client portfolio - High aptitude for cross-functional collaboration and influence internally and externally - Ability to navigate complex client organizations and develop key relationships across multiple departments and leadership levels, including the C-suite - Ability to provide valuable insights into improving customers’ business operations - Research and data-driven approach to account planning, with the ability to proactively identify opportunities from business-led discussions - Bachelor’s degree preferred - Willingness to travel approximately 50%, including occasional travel outside of the UK Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Serbia POWER A WORLD OF TRUST Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust. Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services. We’re in the process of rapidly scaling our diverse global team and we’re looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up! About Incode Incode is a Series B unicorn ($1.25 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast - and we need a product-marketing leader who can turn breakthrough technology into a category-defining narrative. The Impact You’ll Make As a DevOps Engineer at Incode, you will play an important role in supporting and improving the cloud infrastructure behind our AI-driven identity verification platform. You’ll work on scalable, cloud-native systems that power secure and seamless identity experiences globally, with a focus on AWS, Kubernetes, and Terraform. In this role, you’ll help set up new environments, maintain and upgrade existing systems, support infrastructure automation, and help make our platforms more stable, reliable, and ready for further scaling. You’ll work closely with developers and other engineering teams to troubleshoot issues, improve deployment processes, and ensure our applications run smoothly in production. Your work will directly contribute to the reliability, efficiency, and scalability of Incode’s infrastructure, helping us deliver trusted identity verification solutions to customers around the world. What You’ll Own & Drive Cloud-Native Infrastructure - Help design, implement, and maintain Kubernetes-based environments that support scalability, resilience, and security. Environment Setup & System Upgrades - Support the setup of new cloud environments, assist with system upgrades, and help keep infrastructure components up to date and aligned with best practices. Infrastructure as Code (IaC) - Work with Terraform to manage and improve infrastructure automation, ensuring consistency and reliability across environments. Production Reliability - Investigate, troubleshoot, and resolve infrastructure-related issues in live environments, helping minimize downtime and maintain a smooth customer experience. Monitoring & Logging - Support and improve observability solutions using tools such as Prometheus, Loki, ELK, or similar stacks. Developer Support - Collaborate closely with development teams, helping them resolve infrastructure, deployment, and environment-related challenges. Engineering Standards - Contribute to internal best practices, documentation, automation improvements, and processes that help the DevOps team operate more efficiently. Continuous Improvement - Stay curious about AWS, Kubernetes, Terraform, and DevOps practices, bringing ideas that can improve stability, automation, and scalability. The Qualities That Set You Apart Cloud-Native Mindset - You have hands-on experience working with Kubernetes and understand its core concepts, including deployments, services, pods, ingress, and basic troubleshooting. Infrastructure as Code Enthusiast - You have practical experience with Terraform and understand how infrastructure automation helps create consistent and repeatable environments. CI/CD Experience - You have worked with CI/CD pipelines using tools such as GitLab CI/CD or GitHub Actions and understand how they support reliable software delivery. AWS Knowledge - You are familiar with core AWS services such as EC2, VPC, S3, IAM, and related offerings, and are comfortable working in cloud environments. Systems & Networking Understanding - You understand networking fundamentals such as TCP/IP, DNS, and HTTP/S, and can apply this knowledge when troubleshooting or supporting infrastructure. Problem Solver - You are comfortable investigating issues, asking questions, and working with others to find practical solutions. Collaborative Communicator - You can communicate clearly with technical peers and developers, explain issues or solutions, and contribute constructively in a team environment. Your Background Experience as a DevOps Engineer, Cloud Engineer, Infrastructure Engineer, or in a similar role. Hands-on experience working with Kubernetes-based applications or environments. Practical experience with Terraform and infrastructure automation. Experience working with CI/CD pipelines, preferably GitLab CI/CD or GitHub Actions. Familiarity with AWS services such as EC2, VPC, S3, IAM, and related cloud services. Understanding of networking protocols and best practices, including TCP/IP, DNS, and HTTP/S. Experience supporting developers with infrastructure, deployment, or environment-related topics. Experience helping set up new environments, upgrade systems, or maintain cloud infrastructure. Strong written and verbal communication skills, with the ability to explain technical topics clearly. Why Incode? Mission with Meaning - Shape how billions of people prove identity - safely, simply, and ethically. Rocket-Ship Growth - Join at an inflection point where your strategies will compound in value for years. Elite Team & Backing - Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category. Ownership & Autonomy - Operate like a founder with the resources of a unicorn. Global Impact - Every program you launch will reverberate across industries and continents. Ready to ignite the future of trust? Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum. Aspects of our Culture: High performance Freedom & responsibility Context, not control Highly aligned, loosely coupled Continuous Feedback Promotions & Development Learn more about Life at Incode ! Benefits & Perks: Flexible Working Hours & Workplace Open Vacation Policy Equal Opportunities: Incode is an equal opportunity employer, committed to creating a diverse and inclusive work environment. We take great pride in having an inclusive, diverse, and global team, and we are always looking for talented and passionate individuals from all backgrounds and walks of life. As part of our commitment to inclusion, we ensure that reasonable accommodations are available throughout the hiring process. If you require any accommodation due to a disability or specific need, please let our Talent Acquisition team know—we’ll do our best to support you. Applicant Data Privacy: We will only use your personal information concerning Incode’s application, recruitment, and hiring processes.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? We're the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, and powering 390 of Fortune 500 brands. We’re building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn’t just moving fast, but rewriting what fast looks like.   Role Overview We're looking for a hands-on Infrastructure Security Engineer to own security across our cloud and ML infrastructure — the platform that trains our models and serves millions of generations a day. The work spans tenant isolation for user-deployed apps, GPU cluster security, and model protection from training pipeline to serving. You'll sit between Security, DevOps, and ML Engineering. You'll own both immediate implementation work and long-term operational responsibility: cloud and ML infrastructure security, vulnerability management, monitoring, and access governance.   KEY RESPONSIBILITIES We are looking for someone with experience in scaling high-growth startups who can make an immediate impact in the following areas: Cloud & Network Security - Evaluate, implement, and maintain cloud security tooling. - Own infrastructure and container vulnerability management across our cloud environments, and drive remediation. - Design and implement network segmentation to tighten internal security boundaries. - Build centralized security monitoring across cloud infrastructure. Corporate Access Control - Own access governance and credential management across cloud and internal tooling. - Partner with Engineering, DevOps, and IT to raise identity and access management standards. Technical Leadership: - Set the technical direction for infrastructure security and lead cross-functional projects turning the standards you set into tooling and guardrails engineers actually ship with. Requirements: Few people will match all of these. If you're strong on some and eager to learn the rest, apply anyway. - 7+ years in infrastructure security or security engineering, including time at a high- growth startup. - Deep hands-on experience securing a major cloud provider and a container orchestrator, managed with infrastructure-as-code (AWS, Kubernetes, Terraform). - Experience securing ML workloads — training or inference infrastructure, GPU clusters, or model-serving platforms. - Solid networking, operating systems, and cryptography fundamentals. - Strong grasp of container and infrastructure security practices and vulnerability management. - Comfortable working cross-functionally with DevOps, Engineering, and ML teams; able to independently find and close security gaps. - High agency. Nice to have - Experience with sandboxing, container isolation, or secure execution environments for untrusted code. - Experience with CSPM rollouts. - Incident response and security monitoring experience. - Familiarity with SOC 2 or similar frameworks. WHAT WE OFFER: - Competitive base salary in USD - Equity: participation in the company’s stock option program, giving you the opportunity to share in the company’s long-term growth. - On-site role in our Almaty office (we will relocate you from anywhere).

Location: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. ABOUT THE ROLE We're looking for an Engineering Manager to lead our wireless network engineering team - the team that keeps one of the world's largest private IoT networks connected. Over a million devices across New Zealand, Australia, the US and Canada, spanning LoRa, cellular, and satellite direct-to-device, running on remote infrastructure in some of the hardest terrain there is. This isn't a pure delivery or pure people role. You'll be in the work: shaping the network architecture, weighing in on spectrum strategy and link budgets, reviewing the automation that runs our tower fleet, and helping your team do the best work of their careers. You'll need to hold the technical bar high while creating the space for others to grow. We're solving connectivity problems that haven't been solved before - keeping livestock connected hundreds of kilometres from the nearest town, where there's often no coverage at all. It's a role that demands absolute ownership: someone who can take a blurry problem, create clarity, and lead a team to nail it. THE KIND OF PROBLEMS YOUR TEAM SOLVES Halter is one system: hardware, software, and AI, running live on real farms. The wireless network team owns the connectivity layer everything else depends on: - Keeping over a million collars connected across LoRa, cellular, and satellite direct-to-device - in valleys, over ridgelines, and far beyond the edge of conventional coverage. - Planning coverage with real RF engineering: link budgets, path loss modelling, antenna selection, and spectrum strategy across multiple regulatory regimes. - Running a fleet of thousands of remote towers with zero-touch provisioning, configuration automation, and remote diagnostics - a truck roll to a hill-country site is expensive, so software has to do the work. - Squeezing every byte: our devices are power and bandwidth constrained, so protocol efficiency and data optimisation directly shape the product. - Making network health visible - turning telemetry from millions of radio links into signals engineers and field teams can act on. Every team here ships systems that have to work in a paddock, not just a browser tab. As an engineering manager at Halter, you're in the work, not above it: coaching engineers, shaping the technical bets, and staying hands-on. WHAT YOU'LL DO - Lead a team of wireless network engineers - supporting their growth, giving great feedback, running performance conversations, and helping them focus on what matters. - Own the technical direction and delivery of the network: architecture, reliability, and scalability across collar-to-tower-to-cloud connectivity. - Stay close to the technical details - spectrum allocation and compliance, LoRa and cellular behaviour, tower infrastructure, fleet configuration automation, and the software tooling that ties it together - and bring a strong point of view. - Own network reliability outcomes: uptime, incident response, and the on-call practices that keep a 24/7 physical network healthy without burning the team out. - Drive tower deployment and coverage strategy as we scale into new regions - site selection, RF planning, and delivery of critical infrastructure. - Hire and grow the team. Wireless network engineering is a rare skill mix, and you'll be building a world-class bench of it. - Work closely with firmware, backend, hardware, and field operations to shape what we build, not just how. You'll be in the room when requirements are fuzzy and you'll help make them clear. - Back engineering-led initiatives and look for opportunities to use AI tools to accelerate development or unlock entirely new ways of working. - Get out on farm. Deep domain knowledge matters and you'll be expected to develop it. - Contribute to the broader engineering culture and practices that make Halter a great place to build. YOU'LL BE GREAT IF YOU - Have led engineers directly - performance conversations, mentoring, hiring, the lot. - Have strong wireless networking fundamentals - you're credible on spectrum allocation, path loss, link budgets, and antenna behaviour, and can hold a high technical bar with specialists in these areas. - Have hands-on experience with LoRa/LoRaWAN, cellular, or other long-range wireless technologies deployed at scale. - Understand platform infrastructure - configuration management (Ansible or similar), fleet automation, and what it takes to run thousands of remote devices reliably. - Are comfortable in code (Go, Python, C++) - enough to review the team's tooling, dig into a data question yourself, and keep your technical judgement sharp. - Know how to shape and structure work without being overly prescriptive, and balance speed with quality. - Stay calm under pressure, have a low ego, and can rally a team through tough or complex work - including incidents on live infrastructure. - You've worked in fast-moving startups, seen growth, and tackled ambiguous problem spaces. Bonus points for experience with satellite direct-to-device or NTN, spectrum regulatory work (FCC, ACMA, ComReg, or similar), embedded systems or firmware exposure, and building or operating infrastructure in harsh, remote environments. OUR BENEFITS - Importantly, we offer an inclusive and attractive remuneration package made up of salary, benefits and an employee stock ownership plan. - Healthy body, healthy mind. We’re partnered with Southern Cross Health Insurance to support your well-being. - Our personal growth is important. Halter offers an annual $1000 self-development budget to be used for anything that fuels personal growth. - We offer 6 months of fully paid parental leave for primary caregivers, 4 weeks of fully paid secondary caregiver leave and many other parental benefits that support you and your family. - Our time to recharge is valued, we’re offered wellness leave and unlimited paid annual leave. OUR OFFICE FIRST APPROACH There's a reason you visit your friends in person, live with your family and don't do dinners over Zoom. Humans are wired for connection. We believe a world-class, in-person office culture is the best way for high-performing teams. Being office first is a core pillar of our culture. We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful and aligned work. We don't like having heaps of rules or policies, but this means having strong, trusted relationships is critical. We're office first, not office only. This means working from the office everyday is our default setting, but we flex when we need to. We have a high-trust culture, so everyone is trusted to do what's best for Halter. Our office vibe is something special, it's hard to describe until you're here, but people at Halter who have come from fully remote or hybrid companies say they could never go back - the high energy and spectacular people they are now surrounded by everyday makes work so enjoyable. Your growth, your learning and your impact is truly unlimited here, and a big part of that comes from being together solving problems, innovating, building context, and constantly learning from each other. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

Location: San Francisco Bay Area, CA Workplace: onsite Overview Get Paid to Help Shape the Future of Technology  We are building a community of participants for upcoming in-person data collection projects in San Francisco Bay Area. These projects help improve the next generation of smart devices and technology and we are looking for everyday people to take part.  No experience is required. No special skills are needed. Simply attend your scheduled session, follow a few simple instructions, and get paid for your time.  What You'll Do  Participants take part in short, moderated sessions involving simple, everyday activities such as walking, sitting, or moving through a space while smart devices record the session. A friendly moderator guides you through every step. A trained moderator will guide you through the entire process.  Project Details Job Type: Freelance/Independent Contract Time Commitment:Approximately 1 hour Location:San Francisco Bay Area (On-site) Project Type: Short-term, paid, in-person research sessions   Who Can Apply?  We welcome people of all ages and backgrounds from across the San Francisco Bay Area. To participate, you should:  Adults and minors are eligible (participants under 18 require parent/guardian consent)  Be comfortable following simple instructions in English (non-native English speakers are welcome).  Feel free to register with friends or family, you are welcome to participate together. Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.       About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: Istanbul, Turkey P.I. Works is the first company in the world to automate the management of a commercial 5G network. Our automated network management products and services empower mobile operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across more than 87 mobile operators in 60 countries around the world. Being an important part of our Product Design team based in Istanbul, Software Product Design Engineer (Product Owner) are responsible for turning our customers’ network automation and management requirements into solutions. They prototype our telecommunication software products, define their specifications, design their user interfaces and follow up end to end development process. Come and join us to work with the leading telecom operators around the world and redefine the mobile experience worldwide. Job Description: Extract business use cases, do analyze the value, validate studies, and provide a competitive roadmap Conduct presentation/demonstration to the potential customers by providing technical details and value offers about the network management solutions Develop technical specification documents for network management products based on mobile operators’ requirements & needs worldwide Design user interfaces, back-end structure, usage workflow, concept sketches, and high-fidelity wireframes by using design tools Test and validate solutions based on technical requirements and user experience Track issues over Issue Tracking Solutions and keep the knowledge database updated Collaborate with the development, integration, quality assurance, project management and customer support departments to evaluate or diagnose problems and recommend viable solutions. Organize product design reviews meetings with subject matter experts (SME) to validate requirements analysis and proposed solutions Required Qualifications: Having an engineering degree in relevant university departments such as Electrical, Electronics, Communications, Computer, or Software Engineering Minimum 2 years of experience in the mobile telecommunication field Hands-on experience with various mobile network management products including network optimization, planning, self-organized network, geo-location, performance management, configuration management, fault management. Excellent verbal and written communication skills in English is a must Strong product mindset, passionate about experiencing new technologies and applying to business for improvements Understanding fundamental database concepts and good command of SQL is a plus User-experience and user interface design experience is a plus

Location: Remote (Canada) Come join Karat's Interview Engineer Community! Karat is always seeking talented engineers to join our Community. If you are interested in being considered for a future Interview Engineer opportunity, please submit your application to this posting. This is a contractor/freelancer opportunity, and work is compensated based on tasks performed. Currently, we are only accepting applications from candidates in the countries on our website , and require that resumes be submitted in English. What Interview Engineers do: Interview Engineers facilitate technical interviews with software developers around the world. As an Interview Engineer, you will create inclusive hiring processes by mitigating bias, improving hiring signals, and completing objective evaluations. These skills are critical to hiring and managing teams in startups and large enterprises. As a Karat Interview Engineer, you will: Interview— Facilitate an interview through Karat's platform. Create an enjoyable candidate experience while you evaluate a candidate's fundamental coding skills and technical knowledge. Evaluate— Provide input on the candidate's performance, coding style, communication skills, knowledge question answers, and coding approach. Partner— Collaborate with Karat to test content, processes, and products. The experience you will bring: 3+ years of experience as a Software Developer or Engineer Excellent English communication skills (written and oral) with a high level of professionalism and interpersonal skills Reliable access to a working webcam, microphone, and a stable Internet connection Experience conducting technical interviews is preferred (e.g., data structures, algorithms) While we review your application, learn more about life as an Interview Engineer by watching this video! Additional Information By applying for a position, you consent to the processing of your personal data in accordance with Karat’s Employee and Contractor Privacy Notice found here .

Location: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving model quality and reliability. You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model-and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads. Your responsibilities : Own optimization projects for specific model families, customer endpoints, or serving backends. Compare inference engines and recommend practical serving configurations suited to individual workloads. Diagnose model-quality and performance regressions during production rollouts. Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token. Deploy, configure, benchmark, and extend inference engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo. Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery. Implement or integrate speculative decoding, draft-model approaches, KV -cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill/decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture. Design and improve LLM request routers and scheduling policies that balance worker utilization queuing, request characteristics, and KV-cache locality while meeting latency and reliability targets Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism - including wide expert parallelism (WideEP) - with attention to hardware topology, expert load balance, and communication overhead. Build reproducible benchmark harnesses measuring for TTFT , TPOT , tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets. Collaborate with GPU kernel engineers and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers. Produce design documents, performance reports, rollout plans, and customer-facing technical explanations. Must-haves : Strong engineering skills in Python and PyTorch. Hands-on experience deploying or optimizing LLM, VLM , or high-throughput transformer inference. Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system. A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving. Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost. Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism. Strong communication skills and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice - to - have s : Experience with quantization-aware training, post-training quantization, FP8 , INT8 , INT4 , NVFP4 , MXFP4 , AWQ , GPTQ , SmoothQuant. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. Experience supporting agentic workloads involving including tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate's primary specialization. Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe. Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance. Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, Infiniband, or RoCE. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. #LI-BH3 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Palo Alto, California, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius Token Factory is building an AI training and model post-training capability for frontier model improvement. This role owns the infrastructure that makes large-scale training and RL experiments possible, reliable, reproducible, and efficient. The work sits at the intersection of distributed systems, GPU performance, model training frameworks, RL pipelines, and production engineering. A Senior Machine Learning Engineer owns substantial ML work end to end. They can translate an ambiguous capability goal into concrete experiments, implement and debug training and RL recipes, build the supporting data and systems, and deliver measurable improvements in model quality, experiment throughput, and reliability. They are deeply hands-on and can independently debug both model-behavior failures and distributed training failures. Your responsibilities : Design and run model-training and post-training experiments, including SFT , continued pretraining, preference optimization ( DPO /IPO/ KTO ), and RL methods such as RLHF / RLAIF , PPO , and GRPO . Build reward functions, judge models, verifiers, task environments, and evaluation sets for reasoning, coding, tool use, and agentic workflows. Create synthetic data and data pipelines, including teacher-student generation, self-play, rejection sampling, filtering, and quality scoring. Analyze model-behavior failures and turn them into targeted data, reward, or algorithm improvements. Build and maintain distributed training and RL infrastructure using frameworks such as Megatron- LM , DeepSpeed, PyTorch FSDP /DTensor, Ray, verl, slime, AReaL, or OpenRLHF. Implement and debug parallelism strategies (tensor, pipeline, sequence/context, expert, and data parallelism) and build reliable rollout, reward-serving, checkpointing, and experiment-orchestration components. Profile and improve GPU utilization, memory usage, communication efficiency, training throughput, and inference/serving performance. Design rigorous evaluations and ablations for capability, instruction following, reasoning, tool use, safety, and regression risk. Write clear experiment plans, design docs, benchmark reports, and runbooks, and partner across research and platform teams. Must-haves : Strong Python and PyTorch engineering skills, with the ability to move quickly from idea to experiment to working system. Hands-on experience across at least two of: model training, post-training/ RL , applied modeling, data pipelines, or large-scale ML systems. Ability to design rigorous experiments with baselines, ablations, metrics, and failure analysis. Practical understanding of modern LLM behavior, instruction tuning, preference optimization, and evaluation challenges. Practical understanding of transformer training bottlenecks, memory pressure, communication overhead, and checkpointing. Ability to reason quantitatively about model quality, throughput, utilization, reliability, cost, and research velocity. Strong communication skills and ability to collaborate with researchers, engineers, and leadership. Nice - to - have s : Experience with LLM post-training, RL , agents, reward modeling, synthetic data, or model evaluation. Experience with RL frameworks or pipelines such as verl, slime, AReaL, OpenRLHF, TRL , or custom PPO / GRPO / RLHF systems. Experience with Megatron- LM , DeepSpeed, PyTorch FSDP /DTensor, Ray, Slurm, or Kubernetes on large GPU clusters. Familiarity with NCCL , CUDA , Triton, Nsight, InfiniBand/ RDMA , and H100/H200/B200 clusters, or with model serving and inference optimization. Publications, open-source contributions, or production impact in LLM post-training, RL , reasoning, coding models, synthetic data, distributed training, or evaluation. Experience designing agent environments, tool-use tasks, or verifier-based rewards. Key employee benefits in the US: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance : Company-paid short-term, long-term and life insurance coverage. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $195,200 — $262,200 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX | New York, NY | San Francisco, CA About the Role AI inference is becoming core infrastructure. Every serious application will need access to many models, across many providers, with reliability, observability, security, cost control, and routing built in from the start. AI Gateway is Cloudflare’s bet that this layer should exist at the network edge: close to users, close to compute, and simple enough that a developer can adopt it with one API change. We are looking for a Senior Systems Engineer to help build that layer. This is a deeply hands-on individual contributor role for someone who can move from a half-formed product idea to a working, production-ready system quickly. You will work across the stack — from distributed systems and high-throughput APIs to developer-facing workflows, dashboards, SDKs, and docs — helping define how developers build and operate AI applications on Cloudflare. You should be excited by the current pace of the AI ecosystem. Provider APIs change weekly, new models appear constantly, and developer expectations are rising just as quickly. AI Gateway needs engineers who can build durable infrastructure in that environment without slowing down. We also believe AI should change how we build software, not just what we build. We dogfood AI Gateway, Workers AI, and Cloudflare’s broader agent stack heavily. You should be comfortable using AI-native tools, agents, harnesses, and automation to improve your own engineering loop — and interested in building the internal tools and context that help a small team ship like a much larger one. Responsibilities Build core AI Gateway systems that handle high-volume inference traffic across providers, models, and Cloudflare’s global network. Design and implement APIs, routing primitives, observability features, controls, and developer workflows that make AI Gateway reliable and easy to adopt. Work across product and infrastructure boundaries with Workers AI, Agents, and the broader Developer Platform organization to make Cloudflare’s AI platform feel like one coherent product. Turn ambiguous product and technical ideas into prototypes, design docs, shipped features, and measurable production improvements. Improve reliability, performance, cost efficiency, and debuggability for latency-sensitive AI workloads. Build the software — and the software that builds the software: agents, tests, harnesses, evaluation loops, operational tools, and internal context that help the team move faster with confidence. Sweat the developer experience. Error messages, SDKs, dashboard flows, docs, examples, and API details all matter. Mentor other engineers through design review, code review, debugging, and technical leadership without needing people-management authority. Bring strong opinions, clear judgment, and a willingness to revise your view when data, users, or production reality prove otherwise. Desirable Skills, Knowledge & Experience 5+ years of experience building and operating production systems, ideally in AI infrastructure, developer platforms, cloud infrastructure, edge/proxy systems, high-scale APIs, or distributed systems. Strong systems engineering fundamentals: networking, APIs, reliability, observability, data modeling, performance, and operational tradeoffs. Experience designing or scaling distributed systems where latency, throughput, availability, and correctness all matter. Ability to work comfortably across the stack, from API design and product surfaces to backend services, queues, storage systems, control planes, or performance-critical code. Strong developer tools taste. You have used and built enough APIs, SDKs, dashboards, CLIs, docs, and internal platforms to know what makes them delightful or painful. Clear technical communication: you can write design docs, explain tradeoffs, review architecture, and align engineers and product partners around a practical path forward. A builder’s bias toward working software. You can prototype quickly, ship incrementally, and improve systems while they are already in production. Operational judgment. You understand that at Cloudflare scale, rare bugs are not rare for long, and you build systems that are observable, resilient, and recoverable. Comfort using AI-native development workflows and curiosity about how agents, tools, and automation can improve engineering productivity. Bonus Points Experience building AI/ML infrastructure, inference platforms, model gateways, LLM-powered applications, or provider abstraction layers. Experience building developer-facing APIs, SDKs, CLIs, dashboards, or platform products at scale. Hands-on experience with proxy, edge, gateway, routing, or traffic management systems. Familiarity with the current AI ecosystem: model providers, model capabilities, agent frameworks, inference patterns, and the rough edges developers hit in practice. Experience with cost controls, rate limits, caching, retries, fallbacks, evaluation, or observability for AI workloads. Experience with TypeScript, Go, Rust, or similar systems/backend languages. You have built or heavily customized your own agentic development environment: custom agents, harnesses, tools, or workflows that changed how you ship. You have built something with AI Gateway, Workers AI, or a competing product, and have opinions about what is missing. A track record of writing publicly about developer tools, infrastructure, systems, or AI products you have built. Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $194,000 - $266,000 For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $185,000 - $254,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Enterprise AI Products team builds what makes Claude a daily-use tool for enterprise customers across industries. We focus on organizational context and workflows (plugins, skills, connectors, webhook-triggered processes / agents). In other words, we focus on products that form the connective tissue that lets Claude operate across an organization. A big part of this work is understanding what's blocking adoption and building the capabilities that close those gaps. Much of this is being built 0→1 right now: you'll be shaping the product and the architecture in a market where no one has done this well yet. You'll be a technical leader who thinks holistically about the end-to-end customer experience, partners directly with research to push model capabilities into production, and carries real ownership over what we ship next. What you'll do Own technical design and delivery for enterprise-facing core products, end-to-end across the stack Partner with product, design, and go-to-market to turn enterprise customer workflows into shipped product, not just execute against a spec Set technical direction and standards for your team: architecture, code quality, and how the team builds Work directly with enterprise customers and sales during key conversations, translating what you learn into engineering priorities Work closely with research to make the models better in your domain: shaping evals, surfacing failure modes, and feeding customer learnings back into model development Mentor other engineers and raise the technical bar across the team, working with influence rather than authority Build multi-player, asynchronous agents: department-level processes that are goal-oriented, many-step, and triggered by a webhook, a form, or an email rather than a person typing You may be a good fit if you Have 8+ years of software engineering experience, ideally with 2+ years at a Staff or equivalent technical leadership level Have led the design and delivery of complex enterprise or B2B products across the full stack Have built AI products and know what it takes to turn model capabilities into applications people actually use Are comfortable working directly with enterprise customers and translating what you learn into technical decisions Have built products from 0 to 1 in fast-moving environments, and can set technical direction with limited precedent to lean on Drive cross-team alignment to ship impactful work, with influence over authority Strong candidates may also have Experience working with research to improve domain-specific model capabilities, including evaluation frameworks Experience building extensibility surfaces (plugins, integrations, agent tooling) that third parties or internal teams build on Exposure to both product-led growth and direct enterprise sales The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Norwalk, Connecticut, United States Graham Capital Management, L.P. (collectively with its affiliates, "Graham") is an alternative investment manager founded in 1994 by Kenneth G. Tropin. Specializing in discretionary and quantitative macro strategies, Graham is dedicated to delivering strong, uncorrelated returns across a wide range of market environments. As one of the industry’s longest-standing global macro and trend-following managers, Graham remains committed to innovation, evolving its strategies through a robust investment, technology, and operational infrastructure. Graham harnesses the synergies between its discretionary and quantitative trading businesses to offer a broad suite of complementary alpha strategies, each built on the principles of thoughtful portfolio construction, active risk management, and diversification by design. Graham invests significant proprietary capital alongside its clients – including global institutions, endowments, foundations, family offices, sovereign wealth funds, investment management advisors, and qualified individual investors – reinforcing alignment of interests across all strategies. The foundation of Graham’s sustainability and success is the experience and contributions of its people. The firm seeks to cultivate talent, encourage the diversity of ideas, and respect the contributions of all. In turn, each employee shares in the responsibility of strengthening those around them. Description Graham is seeking a Financial Planning Manager to join our Corporate Accounting, Trading Services group, who will report to the Managing Director of Corporate Finance. The ideal candidate possesses a strong finance and analytical mindset. The candidate should be detail oriented and highly organized to manage several functions including trader compensation and financial planning/forecasting. Responsibilities Maintain and administer trader compensation database Calculate trader compensation on a monthly and annual basis Support monthly financial reporting and planning initiatives, as well as ad hoc projects Collaborate with Corporate Accounting team and auditors to complete year end audits for domestic and international entities Requirements 4+ years of relevant finance/accounting experience within a hedge fund, including responsibility for trader compensation, financial reporting, and analysis Bachelor’s degree in finance and/or accounting Strong analytical and modelling skills to effectively breakdown and map out legal compensation agreements Strong communication skills, both verbal and written, to effectively and succinctly present relevant data and issues Competent technology and data knowledge base to efficiently extract and manipulate data for reporting and analysis A team player with excellent project and time management skills to effectively work with our partners This role requires that all employees commute into our Rowayton, CT office Monday through Friday, and work 8:00 AM to 6:00 PM. Base Salary Range The anticipated base salary range for this position is $170,000 to $215,000. The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications.  This wage range may be modified in the future. In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs. Notes: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law. Other Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation. Graham offers health benefits to eligible full-time U.S. employees, including medical, dental, vision, life and disability insurance, as well as other voluntary benefits such as spending accounts (HSA and FSA), and a profit contribution retirement plan.  All employees also receive paid vacation and sick leave.  Benefits eligibility is dependent upon a variety of factors, including employee classification and applicable waiting periods.  Benefits are subject to change and may differ for non-U.S. roles.