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Location: Taguig, National Capital Region Workplace: Hybrid Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the Team Research & Insights is the team that helps Salmon understand its customers, market, and business opportunities. The CX/UX Research team sits within it and works side by side with Product and Design, turning customer evidence into better product decisions. As Salmon continues to scale, the need for hands-on, in-depth customer understanding grows with it. This team works closely with Product, Design, Marketing, Strategy, and Operations to make sure decisions are informed by real user behavior, not assumptions. We're looking for curious, hands-on researchers who enjoy getting close to users, uncovering insights, and helping teams act on them. About the Role As a CX/UX Researcher, you will expand hands-on research capacity across Salmon's product portfolio. You'll work closely with product designers and PMs to run studies from kickoff to readout, including interviews, usability tests, and journey mapping, and help teams make decisions based on evidence. This is a hands-on role. You'll run your own fieldwork, recruit participants, moderate sessions, and write reports. You'll also help build the research infrastructure: intake standards, a methods library, and a research repository the whole product team can use. This is an excellent opportunity for a researcher who wants to see their work shape products used by real customers, and to help build a research function from an early stage. What You'll Do Research Planning & Execution - Plan and run moderated usability tests, in-depth interviews, and quantitative/unmoderated studies - Own assigned studies end-to-end: recruitment, moderation, analysis, and reporting - Maintain a research backlog together with the research lead, and align priorities with product and design teams Participant Recruitment & Fieldwork - Recruit and screen participants, and manage logistics including panel vendors, screeners, and incentives - Run virtual and in-person fieldwork and ensure a positive participant experience - Conduct field research directly with users, which is expected and resourced Collaboration with Product & Design - Work closely with product designers and PMs: participate in team rituals, discuss research priorities, and align on study scope and timing - Facilitate synthesis workshops, insight reviews, and journey mapping sessions with design and product teams - Negotiate research priorities with stakeholders, and push back when needed Journey Mapping & Insights Reporting - Build and maintain customer journey maps for prioritized product areas - Write clear, decision-ready reports and present findings to product teams - Drive change based on research: track whether insights are actioned, follow up with teams, and escalate blockers to the research lead Research Operations - Contribute to research repository standards, the intake process, and the methods guild - Help build the processes and tools that make research faster and more reusable across the product team What Makes You a Strong Fit - 2+ years in UX research for consumer products - Track record of running moderated tests and in-depth interviews independently - Experience facilitating workshops and collaborative sessions with design and product teams - Ability to discuss and negotiate research priorities with PMs and designers, and comfort pushing back when needed - Experience creating journey maps, personas, or service blueprints - Proven ability to drive change based on research: you track whether findings are actioned, not just delivered - Comfortable operating with limited process; you help build it rather than wait for it - Clear, concise writing for non-research audiences - Strong written and verbal communication skills in both English and Filipino/Tagalog Knowledge & Domain Expertise Interest or familiarity with: - UX and customer experience research - Qualitative and quantitative research methodologies - Customer journey mapping and service design - Research operations and repository management - Evidence-based product decision-making Bonus - Experience in credit, lending, payments, or fintech - Exposure to banking, technology, or consumer-focused industries - Experience working with panel vendors and research recruitment platforms Why Join Us? What We Create - Modern banking services for millions of Filipinos - Cutting-edge financial products powered by global best practices and AI - A licensed neobank on a mission to become a leading fintech company in Southeast Asia - Backed by $200M+ from ADQ, World Bank Group, and leading global investors - A company where products are built and launched in months, not years - A platform with significant opportunities for growth and international expansion What We Offer - Work on products used by real customers in a fast-growing Philippine fintech - Direct access to users, with field research expected and resourced - A small team where research has visible impact on product decisions - The chance to help build the research function from an early stage - Competitive compensation and support for professional development - Medical insurance and wellness benefits - A passionate, international team with opportunities for international exposure - Modern office in Manila, Philippines - Regular team events and activities

Location: New York City, NY; New York City, NY | Seattle, WA; Remote-Friendly, United States; San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is looking for Software Engineers to join the Memory & Search team. We own how Claude remembers you and how it finds what it needs, across Claude.ai, Cowork and Claude Code. That spans the user-facing experience (what Claude remembers, how people see and edit it, how search surfaces the right conversation) and the shared infrastructure underneath it, the memory service, indexing, retrieval and vector search. Memory is one of the biggest levers on whether Claude feels like it knows you. We recently moved memory from a periodically synthesized summary to a dynamic, editable, on-demand system, and then unified it so the same memory follows you across products. Search went from a top user complaint to something people rely on to find past work. The platform is now in place, and the next phase is finding the product form factors that make memory the most compelling and sticky part of using Claude. That is why we are hiring product engineers. The team is strong on infrastructure, and we want people who have shipped user-facing products at scale, have a sharp sense for what makes a product feel good, and have built agentic systems where the model, the tools and the user interface have to work together. You will run short, demo-driven experiments on top of the memory and search stack, decide what to keep based on real usage, and help the whole team think like a product team. If you have founded a company, been an early engineer at a startup, or taken a product from zero to one, you will recognize the way we want to work. This is a trust-sensitive surface. Memory touches privacy, consent and enterprise controls, so you will work closely with product, design, privacy, legal and safeguards, and you will be expected to treat those constraints as part of good product design rather than obstacles to it. Key responsibilities Design, build and ship memory and search experiences in Claude.ai, Cowork and Claude Code, owning them end to end from the backend service through the model's tools to the user interface Run product experiments on the memory and search stack: form a hypothesis, build a demo, put it in front of real users, measure, and make a clear persevere-or-pivot call Shape how Claude uses memory and retrieval inside its agentic loop, including what the model stores, when it searches, how results are ranked and presented, and how the user stays in control Define and track the metrics that tell us whether memory is actually making Claude more useful, and build the evaluations that keep quality honest as the system evolves Improve search relevance and recall across conversations and memories, working across embeddings, hybrid retrieval and ranking as well as the interface that presents results Partner with product, design, privacy, legal and safeguards to ship features that respect user consent and enterprise requirements such as customer-managed encryption keys and data retention policies Raise the bar on product quality for the team through design reviews, code reviews and the standards you set for latency, polish and reliability Share the on-call for the systems you own Minimum qualifications Experience building and operating user-facing products used by a large number of people, including the backend services behind them Experience building agentic systems or LLM-powered products, including tool use, retrieval and prompt or context design Strong programming skills in Python and TypeScript, with experience across backend services and web front ends A track record of taking a product or feature from an idea to launch, and iterating on it based on usage data and user feedback Experience defining product metrics and running experiments to make decisions Strong product judgment: you notice when something feels off and you fix it, and you can explain why a design choice matters to users Strong written and verbal communication, with experience working closely with product managers, designers and non-engineering partners Interest in AI safety and Anthropic's mission Preferred qualifications Experience as a founder, early-stage engineer, or someone who has taken a product from zero to one Experience building search or retrieval systems: embeddings, vector search, hybrid lexical and semantic retrieval, or ranking Experience building evaluations for LLM or ML systems, or measuring the quality of retrieval and ranking Experience on consumer products with strong retention, or on personalization systems Experience shipping features that handle sensitive data or meet enterprise requirements such as customer-managed encryption keys, data residency or HIPAA Experience with latency-sensitive, performance-critical product work Experience mentoring engineers or setting technical direction for a team The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Shanghai Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. In Enterprise Technical Account Management (TAM), you will be instrumental in building and maintaining strategic relationships with key clients, ensuring their satisfaction by resolving their technical issues, optimizing their payment solutions and delivering exceptional service with your technical expertise and strong interpersonal skills. What you’ll be doing: - Relationship Management: Build and nurture long-term relationships with key clients, serving as their primary point of contact for technical matters. - Customer Success: Understand our clients' business needs and goals, proactively identify opportunities to optimize their payment solutions, and ensure successful adoption and utilization of our products. - Technical Support: Provide expert guidance and troubleshooting assistance to clients, addressing their technical inquiries, resolving issues promptly, and ensuring minimal disruption to their payment infrastructure through deep understanding of their integrations and how our products work together. - Training and Demo: Help upselling efforts with merchant demonstrations and technical training - hold workshops and refreshers on our product offering to keep clients up-to-date with new features and deliverables. - Project Management: Lead and coordinate the addition of new payment solutions as well as technical migrations for clients as they expand with Checkout.com http://Checkout.com, working closely with cross-functional teams to ensure successful delivery within agreed timelines and specifications. - Product Feedback: Act as a conduit between clients and internal teams, gathering customer feedback, documenting feature requests, and providing client derived insights to enable continuous improvement of our product roadmap. - Market Intelligence: Stay up-to-date with industry trends, emerging technologies, and regulatory changes in the payments landscape, sharing relevant insights with clients to help them navigate the evolving landscape. QUALIFICATIONS - 2 years of experience in an analytical or technical role with experience managing internal and external stakeholders. This ideally includes effective presentation skills. - Bachelor's degree in a relevant field (e.g., Computer Science, Information Technology, Business, Economics, Statistics) is desirable or equivalent practical experience in internet technologies and technical processes. - Familiarity with Payments industry regulations and technical frameworks (3DS, SCA, AVS, MIT) - Familiarity with API-based integration methods and related tools/frameworks - Familiarity with front and back end technologies (i.e. JavaScript, CSS, HTML etc) - Excellent communication and interpersonal skills, with the ability to effectively engage with both technical and non-technical stakeholders. - Results-oriented approach with a focus on delivering exceptional customer satisfaction. - Knowledge of payments technology, compliance standards, and security protocols related to payments (e.g., PCI-DSS, PSD2) is a plus. - Willingness to travel occasionally to client sites as required. - Good in speaking and writing in both English and Chinese, and in speaking Mandarin Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Remote - US About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $136M ARR and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a Principal SRE to join our team! About the Role We are seeking a Principal Site Reliability Engineer (SRE) to help ensure the stability, scalability, and reliability of our production systems. The ideal candidate will have extensive experience collaborating in cross functional teams to manage the design, implementation and ongoing management of the Backblaze core infrastructure. You will be approved to demonstrate strong observability skills, process and service improvement and ability to leverage AI and automation to assist to mitigate issues faster and meet customer demand.. As a technical leader in Backblaze you will be expected to work across the organisation to achieve our goals. This will include working with our executives and customers. The role will focus long term strategic focus on platform stability. Key Responsibilities Service Reliability & Operations Own the availability and durability of critical services across production environments and accountability for outcomes. Ability to work independently, take ownership, and drive projects from problem discovery through resolution. Assist and advise on the design of service health metrics using SLIs, SLOs, and error budgets, and escalate issues when thresholds are at risk; partner with service owners to define/iterate SLIs/SLOs and establish error budget policies and alerting. Participate in leadership on-call rotations, incident response, and post-incident reviews to drive service improvements. Follow established ITIL/OSS processes (incident, change, problem, and capacity management). Architect and Design Design automation for common operational tasks, reducing manual intervention and toil. Collaborate with engineering on overall storage design, performance expectation against product SLAs. Define the monitoring, logging, and alerting frameworks (e.g., Prometheus, Grafana, Catchpoint, ELK), and help integrate runbooks with FireHydrant. Work with CI/CD pipelines, configuration management, and infrastructure as code tools (Terraform, Ansible, Jenkins). Write scripts (Bash, Python, Go, etc.) to improve system reliability and efficiency. Collaboration Partner with engineering, customer success, product, and operations teams to support resilient system design and operations. Work with customers to ensure stability prioritization is based around their needs and experiences in using Backblaze products. Work with vendors and service providers to troubleshoot service issues and track SLA performance. Document systems, share learnings, and help grow a reliability-minded engineering culture. Continuous Improvement Lead cross functional teams to identify gaps in observability, operations process and define overall prioritization strategy. Identify recurring issues and propose long-term improvements, and design action plans around implementing those improvements. Promote reliability-focused practices within development and operations teams. Qualifications Education & Experience Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). 10+ years of experience in site reliability, systems engineering, or operations, experience with hyperscalers preferred. Exposure to large-scale, production-grade systems, including experience establishing operational procedures or runbooks and bringing others up to speed on them. Technical Skills Solid Linux systems administration and troubleshooting skills. Proven ability to leverage AI tools to improve platform stability and scalability. Knowledge of storage systems, performance, sharding and storage algorithms. Experience in load balancing services including IPVS. Security-minded operations (patching, hardening, identifying vulnerabilities). Familiarity with service reliability concepts — monitoring, alerting, incident response, and root cause analysis. Proficiency in at least one scripting language (Python, Bash, or Go). Experience working with containers (Kubernetes, Docker) and microservices concepts required; comfortable operating in a Kubernetes/Vitess-on-K8s environment (kubectl, mysqlsh, Vitess keyspaces). Experience with Hashicorp products (Nomad, Vault, Terraform). Preferred Attributes Experience in a SaaS, service provider, or distributed systems environment. Familiarity with ITIL/OSS practices and SLO/SLA’s. Strong problem-solving skills and willingness to learn new technologies. Experience with cloud platforms (AWS, GCP, or Azure). Backblaze Perks Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro to use for work, plus a generous stipend to personalize your workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance Pay Transparency To provide greater transparency to candidates, we share pay ranges for all US-based job postings regardless of state. Final offer amounts are determined by multiple factors including candidate location, skills, depth of work experience, and relevant licenses/credentials. The pay range for this position is $215,000 to $250,000 per year. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: Shanghai Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. In Enterprise Technical Account Management (TAM), you will be instrumental in building and maintaining strategic relationships with key clients, ensuring their satisfaction by resolving their technical issues, optimizing their payment solutions and delivering exceptional service with your technical expertise and strong interpersonal skills. What you’ll be doing: - Relationship Management: Build and nurture long-term relationships with key clients, serving as their primary point of contact for technical matters. - Customer Success: Understand our clients' business needs and goals, proactively identify opportunities to optimize their payment solutions, and ensure successful adoption and utilization of our products. - Technical Support: Provide expert guidance and troubleshooting assistance to clients, addressing their technical inquiries, resolving issues promptly, and ensuring minimal disruption to their payment infrastructure through deep understanding of their integrations and how our products work together. - Training and Demo: Help upselling efforts with merchant demonstrations and technical training - hold workshops and refreshers on our product offering to keep clients up-to-date with new features and deliverables. - Project Management: Lead and coordinate the addition of new payment solutions as well as technical migrations for clients as they expand with Checkout.com http://Checkout.com, working closely with cross-functional teams to ensure successful delivery within agreed timelines and specifications. - Product Feedback: Act as a conduit between clients and internal teams, gathering customer feedback, documenting feature requests, and providing client derived insights to enable continuous improvement of our product roadmap. - Market Intelligence: Stay up-to-date with industry trends, emerging technologies, and regulatory changes in the payments landscape, sharing relevant insights with clients to help them navigate the evolving landscape. QUALIFICATIONS - 8 years of experience in an analytical or technical role with experience managing internal and external stakeholders. This ideally includes effective presentation skills. - Bachelor's degree in a relevant field (e.g., Computer Science, Information Technology, Business, Economics, Statistics) is desirable or equivalent practical experience in internet technologies and technical processes. - Familiarity with Payments industry regulations and technical frameworks (3DS, SCA, AVS, MIT) - Familiarity with API-based integration methods and related tools/frameworks - Familiarity with front and back end technologies (i.e. JavaScript, CSS, HTML etc) - Excellent communication and interpersonal skills, with the ability to effectively engage with both technical and non-technical stakeholders. - Results-oriented approach with a focus on delivering exceptional customer satisfaction. - Knowledge of payments technology, compliance standards, and security protocols related to payments (e.g., PCI-DSS, PSD2) is a plus. - Willingness to travel occasionally to client sites as required. - Good in speaking and writing in both English and Chinese, and in speaking Mandarin Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Tokyo, Japan Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: In this position, you'll play a crucial role in shaping our go-to-market strategy and driving data-informed decision-making within the Japan/APAC region. This position sits at the intersection of sales, strategy, and operations, offering the opportunity to significantly impact Notion's growth trajectory. You'll work closely with sales leadership and cross-functional teams to optimize processes, deliver actionable insights, and support key strategic initiatives. You will report directly to the Head of Field Strategy & Operations. WHAT YOU'LL ACHIEVE: - Partner with Japan leadership team to define and drive strategy (e.g. territory mapping, long-term account planning, geographic expansion) and results for the region by conducting insightful analysis on local Japan markets and customers while providing support for other APAC priorities as needed. - Support regional sales leaders and sales teams in achieving their goals by providing actionable insights and visibility to sales performance metrics - Build reporting and presentations for Japan/APAC sales leadership to update on the state of the business, both up and across the organization - Act as a partner to the Japan/APAC sales team, providing hands-on operational support to drive deals forward and advising with decision-making - Enable smooth, efficient deal execution by supporting day-to-day deal operations, including opportunity hygiene, quote preparation, and coordination of approvals and internal handoffs, helping sellers navigate processes and remove friction throughout the deal lifecycle - Partner with the GTM Systems team to continuously enhance our sales technology stack to provide both a best-in-class experience for our sellers and a robust sales data environment - Work with cross-functional teams including Legal, Finance, Product, Marketing, etc. as the primary operational counterpart on behalf of the Japan/APAC sales org - Maintain and embed global sales policies, processes, and procedures, driving discipline with regards to strategy execution - Support global planning process locally, including target setting, capacity modeling, territory carving, etc. - Surface on-the-ground observations and insights to global sales and RevOps leadership SKILLS YOU'LL NEED TO BRING: - 5+ years of strategy, operations, and analytics experience with a track record of driving growth - working in sales operations, preferably in a high-growth SaaS environment - Expertise to quickly drill down into the business funnel for outbound and inbound sales motions, and how that connects to revenue - Excellent analytical and quantitative modeling skills; ability to analyze and interpret data, provide actionable insights, and deliver measurable results - Expert proficiency with core sales tools (e.g. Salesforce, Gong, Outreach, etc.) and best practices for sales data management - Ability to apply AI-powered tools to accelerate analysis, uncover trends, and translate complex sales data into actionable business insights. Comfortable framing analytical questions, iterating on prompts, and validating AI-generated outputs with sound business judgment and rigorous data checks, while handling sensitive information responsibly - Strong collaborator, works well with stakeholders, gains trust, enjoys working with people - Demonstrates a senior presence and can convey complex information to executives clearly and concisely; can resolve tradeoffs. Effective communicator across levels and audiences - Hands on and proactive, with a builders mentality. - Maintaining high ownership mentality, demonstrated by developing projects of >6-12 months length - Notion power user or desire to learn -- prior Notion experience is not required, but you have the ability and desire to become a pro #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Strategic Account Executive for the Northeast region, you'll drive GitLab's enterprise growth by helping some of the area's most influential organizations adopt, implement, and expand their use of our AI-powered DevSecOps platform. You'll focus on strategic enterprise accounts, guiding customers through complex digital and DevSecOps transformations and driving pipeline generation that translates into measurable Net ARR and long-term expansion. In this role, you'll act as a key connector between customer stakeholders and GitLab's field organization so GitLab is seen as a trusted, long-term partner across the full sales cycle. In your first year, you'll be expected to build a strong enterprise portfolio across your territory, create repeatable sales motions, and consistently forecast and report on deal progress and account health. What you'll do Drive strategic growth by leading GitLab's enterprise accounts across the Northeast, serving as a trusted technology advisor to industry leaders in your territory. Orchestrate winning sales strategies by bringing together Solutions Architects, Customer Success experts, Sales Development, Channel & Alliances, and other technical specialists to deliver transformative, AI-powered DevSecOps solutions. Shape the future of software development by crafting innovative solutions that align GitLab's platform with customers' long-term vision, compliance needs, and business objectives. Build deep, strategic partnerships by mastering your customers' industry landscape, success metrics, and growth trajectories so you can position GitLab as their indispensable technology ally. Design and execute strategic account plans, including opportunity mapping, stakeholder alignment, and multi-threaded engagement, to expand GitLab usage within new and existing major accounts. Lead end-to-end customer journeys from initial discovery through evaluation, negotiation, and successful implementation, ensuring a consistent, high-quality experience at every stage of the sales cycle. Champion continuous improvement by contributing to forecasting and pipeline reviews, conducting sophisticated win/loss analyses, and sharing strategic insights that refine our go-to-market approach. Prepare and deliver compelling customer-facing and internal presentations, proposals, and recommendations that clearly communicate value, business outcomes, and the path to long-term partnership with GitLab. What you'll bring Experience driving complex B2B software sales cycles with enterprise customers, ideally in DevSecOps, software development tools, or adjacent SaaS solutions. Background selling into large, strategic enterprise accounts in the Northeast United States, with the ability to build trusted C-level and senior stakeholder relationships across business and technical teams. Knowledge of the Northeast enterprise market, including key industries, buying centers, and decision-making dynamics, with the ability to build and nurture a relevant professional network. Ability to drive new business acquisition and expansion within enterprise accounts through consultative, multi-stakeholder sales motions that lead to sustainable, long-term customer partnerships. Experience collaborating with channel and strategic partners to generate pipeline, co-sell, and support successful customer adoption. Effective communication and interpersonal skills, with the ability to lead account strategy, influence internal and external stakeholders, and remain calm under pressure. Ability to work in line with GitLab's values, use GitLab and Salesforce in your daily work, and travel as needed while following company travel policies. About the team The Enterprise Sales team is responsible for driving growth, adoption, and long-term value for GitLab's AI-powered DevSecOps platform with our largest and most strategic customers. As a Strategic Account Executive focused on the Northeast, you'll be part of a distributed, all-remote team that works asynchronously across regions and partners closely with GitLab's sales engineering, marketing, and customer success teams. We value transparency, collaboration, and a consultative approach, and we support one another through shared account planning, regular deal reviews, and knowledge sharing focused on enterprise customers across the Northeast region. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $110,800 — $186,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: San Francisco; Seattle; New York City ABOUT THE ROLE The Enterprise Agent Evals & Efficiency team makes Perplexity's agents better at completing real work across enterprise connectors, tools, and data. Our goal is to help agents choose the right tools, use the right context, and complete complex workflows reliably, with less time and compute. This team owns the improvement loop: define what successful work looks like, build evaluations that measure it, understand where agents fail, and ship changes that improve outcomes. This is a hands-on engineering role with end-to-end ownership, from building realistic enterprise evaluation environments to shipping improvements across the agent harness, tools, and skills. You'll create complex scenarios spanning connected systems, data, and permissions, use them to identify where agents struggle, and improve the tools agents call, the skills they follow, the context they receive, and the models they use. Working with AI Research, Connectors, and Platform teams, you'll turn experimental results into measurable gains in task success, latency, and cost per successful task. The goal is not just to measure agents, but to make more enterprise work reliable and practical to automate. KEY RESPONSIBILITIES - Build realistic enterprise evaluation environments spanning connected applications, representative datasets, user roles, and permissions, with complex, multi-step workflows and reproducible system state. - Own evaluation infrastructure, task suites, and automated graders that measure how well agents complete enterprise work, calibrated against human judgment and grounded in end-to-end outcomes. - Analyze agent trajectories and production failures, identify root causes, and ship improvements across the agent harness, tools, and skills that measurably improve task success and reliability. - Develop reusable skills and improve tool descriptions, schemas, and result handling so agents can select the right tools, execute workflows correctly, and recover from errors with fewer unnecessary calls. - Build and evaluate model-selection and routing strategies that match each task to the right model and effort level, balancing quality, latency, reliability, and cost. - Improve agent efficiency through context management, skill loading, caching, and execution strategies that reduce wasted tokens and cost per successful task without compromising quality or safety. - Build regression gates and launch-readiness signals for model, connector, tool, skill, and harness changes, and validate that evaluation gains translate into better production outcomes. QUALIFICATIONS - 5+ years of software engineering or machine learning engineering experience, with a track record of owning complex production systems from design through deployment and operation. - Strong system design skills, including building reliable, scalable infrastructure for experimentation, evaluation, or data-intensive applications. - Strong proficiency in a backend language such as Python, Go, or Rust, and the ability to work effectively across a multi-language production stack. - Hands-on experience building, evaluating, or improving LLM-based applications or agents, including tool use and multi-step workflows. - Deep expertise in at least one of the following: - Evaluation infrastructure, benchmark design, and automated grading. - Agent harnesses, tool interfaces, and reusable skills for complex workflows. - Realistic test environments or simulations spanning multiple systems, datasets, permissions, and stateful workflows. - Model selection, routing, and inference efficiency, including context management and caching. - Strong experimental and statistical judgment, including choosing representative tasks, defining meaningful success criteria, diagnosing failures, and distinguishing real improvements from noise. - Sound technical judgment in balancing task quality, latency, reliability, and cost, with a track record of translating evaluation findings into shipped improvements. - A track record of leading ambiguous, cross-team initiatives from architecture through production adoption, setting technical direction, and raising engineering quality through mentorship. If you’re excited about this role, we encourage you to apply even if you don’t meet every qualification. We value demonstrated impact, deep ownership, and the initiative to turn ambiguity into results.

Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $136M ARR and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a Vulnerability Management Engineer to join our team! About the Role The Vulnerability Management Engineer drives risk-based vulnerability and exposure management across infrastructure, applications, cloud services, endpoints, and software dependencies. The role combines vulnerability data, asset and configuration intelligence, application-security testing, threat intelligence, and AI-assisted analysis to determine whether vulnerabilities are reachable, exploitable, and likely to represent an imminent organizational threat. Key Responsibilities Correlate threat intelligence and vulnerability findings with asset inventory, software configuration, system configuration, application testing, network exposure, ownership, and business criticality. Assess exploitability and reachability rather than relying on vulnerability severity alone. Incorporate exploit prediction, known exploitation, open-source threat intelligence, adversary activity, and environmental context into prioritization. Determine whether exposure requires immediate incident response or remediation under established operational objectives. Use AI-assisted workflows to ingest and correlate vulnerability intelligence against the organization's actual technology configuration while independently validating conclusions. Partner with Red Team to validate practical exploitability of significant vulnerabilities. Identify compensating controls such as configuration changes, access restrictions, segmentation, or filtering when immediate patching is impractical. Automate vulnerability ingestion, analysis, prioritization, remediation tracking, mitigation, and verification where appropriate. Qualifications Experience with enterprise vulnerability or exposure management. Strong understanding of infrastructure, applications, cloud, containers, networking, and software dependencies. Experience interpreting vulnerability intelligence and assessing practical exploitability. Knowledge of risk-based prioritization techniques including CVSS, exploit prediction, known-exploitation intelligence, and environmental context. Experience correlating vulnerability, asset, configuration, SAST, DAST, SCA, endpoint, or related security data. Experience with scripting, automation, or data analysis. Familiarity with continuous exposure management, attack-path analysis, AI-assisted analysis, or automated mitigation is preferred. Strong understanding of OWASP Top 10, MITRE ATT&CK, MITRE D3FEND, and STRIDE. Familiarity with OWASP Top 10 for LLM, OWASP Top 10 for Agentic Applications, MITRE ATLAS and MAESTRO. At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $136M ARR and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We’re seeking a Red Team Security Engineer to join our team! About the Role The Red Team Security Engineer continuously validates whether vulnerabilities, configurations, identities, applications, infrastructure, and AI-enabled systems can be exploited by realistic adversaries. The role combines traditional offensive security with AI-assisted and agentic adversary emulation to validate exposure and continuously improve defensive controls. Key Responsibilities Emulate external attackers, malicious insiders, compromised identities, and autonomous adversarial agents. Validate whether vulnerabilities and configuration weaknesses identified are reachable and practically exploitable. Develop and execute realistic attack paths across web applications, APIs, cloud infrastructure, identity systems, endpoints, and other enterprise services. Use AI-assisted and agentic techniques for reconnaissance, vulnerability analysis, attack-path discovery, and controlled offensive testing. Test AI applications and agents for prompt injection, tool abuse, excessive privilege, identity compromise, and other emerging attack classes. Validate compensating controls and mitigations before or after deployment. Conduct purple-team exercises with Security Analytics and Security Operations to validate telemetry, detection, and response effectiveness. Translate offensive findings into actionable improvements to architecture, configuration, detections, and response capabilities. Qualifications Experience in red teaming, penetration testing, adversary emulation, or offensive security engineering. Strong web, API, cloud, identity, operating-system, and network security fundamentals. Experience validating practical exploitability and developing realistic attack paths. Strong understanding of MITRE ATT&CK and modern adversary techniques. Familiarity with OWASP Top 10 for LLM, OWASP Top 10 for Agentic Applications, and MITRE ATLAS. Scripting or software-development experience. Experience safely using automation or AI-assisted techniques in offensive-security workflows. Experience assessing cloud-native or AI-enabled systems, conducting purple-team exercises, or simulating autonomous adversaries is preferred. At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Utilization improvements are worth enormous sums at our scale. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at exabyte scale. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Mexico City, Cuauhtémoc, Mexico Working at Bitso We are a diverse team that takes pride in understanding the perspectives of others. We fully embrace working remotely and we are eager to act, improve and drive rapid progress inside and outside of our organization. To drive revolutionary changes in society and make crypto useful, we delight our customers with world-class products, deep care, and intentional empathy. Your Purpose As an Onboarding Operations Analyst, you will be responsible for supporting the customers registration and onboarding process within Bitso Business. You will actively manage the workflow for account registration, ensuring efficiency and compliance while contributing to strategic improvements that enhance scalability. Your insights will play a key role in enabling Bitso Business accounts to become fully operational. Collaborating cross-functionally, you will optimize workflows, streamline processes, and ensure the seamless execution of daily operations. Your role will be essential in identifying bottlenecks, improving system performance, and driving continuous enhancements across our platform. Also, you are going to be responsible to give support to customers with issues related with access to their accounts, 2FA reset, data updates and so on. Location Mexico City Reports To Business Operations Manager What You Will Do Review and process customer applications for Bitso Business accounts, ensuring all required documents are submitted and validated. Identify inefficiencies in the onboarding process and suggest improvements. Work with tech teams to automate manual processes for faster customer activation. Coordinate with KYB, Compliance, Legal, Fraud, and Tech teams to resolve onboarding issues. Ensure seamless communication between internal teams to accelerate approvals. Assist customers with onboarding-related questions and troubleshoot registration issues. Provide guidance on documentation requirements and eligibility criteria. Track key onboarding metrics such as approval rates, processing times, and bottlenecks. Provide insights to improve efficiency and enhance customer experience. Proactively identify areas for enhancement and contribute to operational strategies. Give support after the account onboarding, with issues related to the accounts access, the activation of new products, data updates… Qualifications 2+ years of experience in an Operations Analyst or similar role. Strong analytical skills and experience with ticket service tools (e.g., Jira, Zendesk). Ability to identify inefficiencies and propose effective solutions to improve processes. Experience tracking threads and customer requests via Slack or email Capability and great communications skills to manage support meetings with customers when necessary. Experience in working with cross-functional teams and managing multiple stakeholders. Knowledge of the cryptocurrency or fintech industry is a plus . Excellent organizational, communication, and time management skills. Ability to adapt in a fast-paced environment and work with evolving priorities. Who We Are With over 10 million users, Bitso is the leading cryptocurrency platform in Latin America. We are developing the cryptocurrency ecosystem in the region and enabling financial inclusion. We believe crypto is the future of finance, and we’re committed to making it useful by providing equal access to safe and intuitive financial products. We are here to make a lasting impact on our customer’s lives and we do so by embracing our core values: Be Human: we delight our customers through great products, deep care and true empathy. We are humble and we take pride in understanding the views of others to help us see the full picture. Drive Change: we're fearless pioneers committed to unlocking the crypto revolution for humanity. We move fast, take risks and work together to drive lasting impact. Choose Bold Honesty: we seek the truth, especially when it’s uncomfortable, in our teams, products and business reality because that will uncover where we need to focus. Be an Owner: our sense of urgency makes us have a bias towards action, where we prioritize exceptionally and are wise in allocating our time to ensure we always deliver creative and innovative results. Learn more about our culture and values . Compensation & Benefits At Bitso, you are taking the front seat on the edge of crypto innovation, creating the next generation of crypto-powered products. So for those willing to commit, adapt and pioneer the most important change of the century we offer: Me Time program , including unlimited paid time off. Employee Stock Option program. Extended Family Leave policy: all birthing parents, non-birthing parents and adopting parents are eligible for a 4-months leave. Premium health, dental and life Wellness platform. Want to leave an undoubtedly legacy with us? Fasten your seatbelt and join this spaceship, where you will find exponential growth and the opportunity to thrive!

Location: Limassol, Cyprus We are looking for a PSP Operations Specialist to help manage day-to-day payment operations and resolve payment-related issues. You will work closely with our Head of PSP, Support team, developers, and payment providers to investigate failed transactions, coordinate issue resolution, and ensure smooth payment processing. This is a great opportunity for someone with initial experience in fintech, payments, or customer support who wants to develop their expertise in payment operations. Key Responsibilities Monitor payment transactions and investigate failed, declined, or delayed payments. Help the Support team resolve payment-related questions and customer complaints. Check transaction statuses, payment logs, and provider responses to identify potential issues. Communicate with payment providers to investigate problems and follow up on their resolution. Coordinate with developers and other teams to resolve payment-related issues. Track open requests, provide status updates, and escalate complex or critical incidents. Identify recurring payment issues and share findings with the team. Assist with payment performance monitoring, operational reports, and internal documentation. Support operational tasks related to new merchants and payment methods. Manage relationships with Service Providers Requirements Around 1 year of experience in fintech, payment operations, customer support, or a similar role. Basic understanding of payment processing and willingness to learn about PSPs and payment methods. Good analytical skills and attention to detail. Comfortable working with Excel or Google Sheets. Good communication skills and ability to coordinate with different teams. Proactive approach to problem-solving and ability to follow tasks through to completion. Fluent in Russian and strong written English skills for day-to-day communication with international payment providers and partners. Nice to Have Experience in a fintech company or payment service. Basic knowledge of card payments, APMs, or local payment methods. Familiarity with transaction statuses, decline codes, or payment logs. Experience with CRM, ticketing systems, or operational tools. What we offer Full relocation support and working visa sponsorship Competitive salary Days off when you need them What awaits you Working in a small and fast-paced Scrum team A practical role where you can influence how we work with data No bureaucracy - we focus on practical solutions and common sense Pleasant colleagues and a healthy internal culture A non-toxic environment with respect for work-life balance (we turn off Slack during vacations) You don't need to know everything about payment operations from day one. We value curiosity, attention to detail, and a willingness to learn.

Location: Poland Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located. We’re looking for a hands-on Financial Controller who can own the entire finance function, from accurate bookkeeping and monthly reporting to financial analysis and strategic recommendations. You’ll be responsible for ensuring the books are accurate, building financial visibility across offers and marketing channels, and helping the founder make better business decisions. This role combines strong controller discipline with fractional CFO-level judgment. Responsibilities Own the monthly financial close and ensure accurate, timely financial statements (P&L, balance sheet, and cash flow). Clean up and maintain the chart of accounts and oversee external accountants, tax preparers, and bookkeeping support. Build financial reporting for contribution margins, marketing efficiency, payroll costs, cash runway, and profitability by offer and channel. Develop rolling cash forecasts, budgets, and financial models to support business decisions. Provide monthly written insights and actionable recommendations on profitability, spending, hiring, and growth investments. Identify and reduce unnecessary vendor and software expenses. Establish financial controls, payment approval processes, and documented workflows. Oversee contractor and international payroll processes across multiple countries. Requirements 3+ years of finance experience, including experience as a Controller, Finance Manager, or Head of Finance. Hands-on experience with US accounting and US-entity financials; Puerto Rico or multi-entity experience is a plus. Experience in a business where marketing spend is a major expense, ideally in e-commerce, DTC, SaaS, agencies, or digital products. Strong financial modeling, spreadsheet, and accounting software skills. Ability to translate financial data into clear insights and actionable business recommendations. Excellent written and spoken English, with strong EST time zone overlap. Nice to have: CPA, ACCA, or equivalent accounting qualification. Experience with international entities, outsourced finance teams, or fast-growing businesses. Spanish language skills. Benefits Competitive salary in USD Fully remote

Location: Russia You Are passionate about technology, wake up every morning to experiment, learn and develop new solutions! About Us At DBSync we provide the opportunity to use technology that creates innovative and next generation data integration products which helps our employees to cultivate their creativity and sense of belonging. DBSync is a leading provider for data integration and Data warehousing services for both cloud/SAAS-based-on-demand applications. We were incubated by Salesforce.com (as a part of Avankia), before getting spinned off as a separate company. DBSync provides data integration as a SAAS-based, Standalone or hosted integration at a competitive price with a plethora of benefits for business users. Our mission is to provide a strong foundation for businesses in solving complex problems and automating their workflows while acting as a pillar of support for all their data integrations needs. At DBSync we encourage innovation and creativity and our team is diverse comprising of a nice mix of cultural blends. We are a family where each talent is recognised and honed for the best of the individual and the company as a whole. We maintain a very professional, learn and excel vision with a hint of a start-up-like environment making each individual feel important and responsible with an equal opportunity to grow to the sky’s limit! If you have a spirit of enthusiasm to grow beyond horizons, a determination to work hard, confidence to achieve success and influence future visions and products and be a successful part of the next gen trend, DBSync is the place for you! Our Value System 1. We genuinely care 2. We do not waste time on manual or mundane task 3. We have a fun environment 4. We own it 5. We are experts on what we do 6. We win together DBSync has been: We have been rated 4.7 / 5 on G2. We have got around 125 reviews in 2023. Based on the reviews G2 has awarded DBSync following badges. Best Relationship– Winter 2024 Leader Americas Winter 2024 Best Results – Winter 2024 Best Usability – Winter 2024 About the Role: As a Product Marketer for DBSync, you will play a pivotal role in crafting and executing marketing strategies to drive the acquisition, adoption and success of our software products. This role requires a good understanding of data operations and management practices, and familiarity with SaaS apps, databases and data clouds. You will be responsible for creating compelling messaging and campaigns that resonate with our target audience of technical professionals. Job Responsibilities: Craft and deliver product messaging focused on data replication and Change Data Capture (CDC) solutions through various channels, including webinars, videos, and educational content. Comfortably present and host webinars and videos to educate customers on our product capabilities and benefits. Analyze market trends, customer behavior, and competitor offerings to inform marketing strategies. Collaborate with cross-functional teams to create go-to-market plans for new product launches, feature updates, and demand generation. Define target customer segments, value propositions, and distribution channels. Create a wide range of marketing collateral, including product demos, data sheets, whitepapers, blog posts, and videos. Develop presentations, and training materials to empower the sales team with product knowledge and value propositions. Plan and execute marketing campaigns that generate leads and drive customer engagement. Use data and analytics to track campaign performance, ROI, and other relevant metrics. Support account-based marketing (ABM) initiatives and foster growth through customer advocacy. Skills and Qualifications: Bachelor’s degree in computer science, engineering, or related field; MBA with specialization Overall professional experience: 3–5 years, with a strong preference for backgrounds in Strategy, Marketing, or Technology. Min. 2-3 years of experience working in SaaS companies Good technical acumen with good communication skills General understanding of SaaS apps, cloud platforms (Snowflake, Azure, AWS, Redshift), and databases (MySQL, SQL Server, PostGreSQL) Experience working with Salesforce and D365+ is good to have Prior experience in technology consulting or enterprise technology marketing is highly desirable. Exceptional written and verbal communication skills, with the ability to distill technical concepts into clear and engaging messaging. Strong technical aptitude and understanding of DataOps, data management practices, databases, and data clouds. Experience in hosting webinars, creating videos, and delivering technical presentations. Proficiency in marketing tools, analytics platforms, and CRM systems. Strong project management skills and ability to collaborate across cross-functional teams. Job Location: Eastern Europe (Remote) Work Shift: U.S Shift (8:00 AM CST to 5:00 PM CST)

Location: Houston, United States EnerMech is a global provider of specialist engineering, technical and integrated services to the energy and infrastructure sectors. With operations across multiple international markets, we deliver innovative solutions that help our clients improve operational efficiency, safety and asset performance. Our services include mechanical, electrical and instrumentation solutions, lifting and inspection services, and specialist industrial services, including nitrogen and pressure testing operations. At EnerMech, we are committed to delivering operational excellence through our highly skilled workforce, strong safety culture and focus on quality. We offer opportunities to work on challenging projects alongside experienced professionals in a dynamic, safety-focused environment. Key Responsibilities Operate nitrogen pumping equipment safely and efficiently at various job sites. Set up, monitor and shut down nitrogen pumping units in accordance with operational procedures. Monitor pumping pressures, flow rates and equipment performance during operations. Conduct pre-operational and post-operational inspections of nitrogen pumping equipment. Perform routine maintenance and basic troubleshooting to ensure equipment reliability. Ensure compliance with all company HSE policies, client requirements and safety procedures. Maintain accurate pumping logs, operational records and service reports. Carry out equipment rig-up, pressure testing and rig-down activities. Communicate effectively with supervisors, team members and clients regarding job requirements and operational activities. Participate in toolbox talks, risk assessments and ongoing safety training. Requirements Minimum of 3 years' experience as a Nitrogen Pump Operator, preferably within the oil & gas industry. Proven experience operating high-pressure nitrogen pumping equipment. Strong understanding of nitrogen pumping operations, pressure control and flow rates. Ability to inspect, maintain and troubleshoot nitrogen pumping equipment. Knowledge of nitrogen handling procedures and associated safety risks. Experience in equipment rig-up, pressure testing and rig-down. Ability to work independently and as part of a field operations team. Strong commitment to safety, reliability and operational efficiency. Good communication skills and a proactive, hands-on approach. CDL (Commercial Driver’s License) is preferred.

Location: Serbia; Montenegro; Georgia; Armenia Libertex Group Overview Established in 1997, the Libertex Group has helped shape the online trading industry by merging innovative technology, market movements and digital trends. The multi-awarded online trading platform, Libertex, enables traders to access the market and invest in stocks or trade CFDs with underlying assets being commodities, Forex, ETFs, cryptocurrencies, and others. A firm believer in the power of sports to inspire, empower and push for success, Libertex is the Official Online Trading Partner of Audi Revolut F1® Team. We build innovative fintech so people can #TradeForMore with Libertex. Job Overview We are looking for a Junior Payments Analyst who will help monitor payment activity, reconcile transactions, handle payment-related queries, and coordinate with payment service providers (PSPs). Working alongside experienced colleagues, you will develop practical knowledge of online payments and take ownership of clearly defined operational tasks. This role is suited to someone early in their career who enjoys working with numbers, pays attention to detail, and follows tasks through to completion. You will receive guidance on our systems and procedures, with support available for complex or unfamiliar situations. Responsibilities Check PSP balances daily and flag funding needs to the team. Monitor payment performance, help investigate transaction issues, and perform daily reconciliations. Process routine manual settlements, refunds, and financial adjustments in line with internal procedures and approval requirements. Handle payment-related requests from internal teams, including transaction tracing, refund enquiries, and requests for Acquirer Reference Numbers (ARNs). Monitor shared payment inboxes, respond to routine queries, and route requests to the appropriate teams, following up where required. Coordinate with payment providers on operational issues, account documentation, and routine updates. Track PSP notifications, including technical changes, payment limits, country availability, and contractual notices, and share relevant information with the appropriate colleagues. Collect monthly fee information, reconcile invoices, and prepare regular reports. Manage assigned tasks and recurring responsibilities through to completion, keeping task records up to date and meeting agreed deadlines. Communicate promptly about blockers, potential delays, and changes in workload, and ask for guidance or additional tasks when needed. Requirements Experience in payments, finance operations, reconciliation, or a related support role is an advantage, but is not essential. Comfortable working with numbers and checking data accurately. Working knowledge of Microsoft Excel, including formulas, filters, and basic data analysis. Good written and spoken English for day-to-day communication with colleagues and external providers. Good organisational skills, with the ability to manage routine tasks, follow up consistently, and meet agreed deadlines. A responsible and proactive approach: you keep track of your assigned areas, ask questions when something is unclear, and raise issues early. Clear and responsive communication, including keeping colleagues informed of progress and expected follow-up times. Willingness to learn, follow established procedures, and seek support for unfamiliar or complex cases. A degree in Finance, Mathematics, Economics, or a related field is a plus. Benefits Quarterly bonuses based on Company performance Medical Insurance Plan with coverage for the employee and their immediate family from day one (Montenegro based) 24 working days of annual leave Corporate events and team building activities Udemy Business unlimited membership & language training courses Professional and personal development opportunities in a fast-growing environment Libertex Group is an equal opportunity employer, fostering an inclusive and diverse environment. We do not discriminate based on any characteristic protected by the law. Candidate privacy is respected, and all data is securely stored and used solely for recruitment purposes, in line with GDPR and our internal policies. Unsuccessful applicants may have their data retained for future opportunities unless deletion is requested.