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Location: Mexico City Workplace: OnSite The Chainalysis Deployment Strategy team helps public and private sector customers investigate financial crimes involving cryptocurrency. We combine technical knowledge with analytical rigor to support complex investigations and build regional capacity for blockchain analysis. In the LATAM and Caribbean region, our team works directly with customers to enable them in the fast-moving world of cryptocurrency investigations. Along the way, we make the world a safer place. As a Deployment Strategist I, you will support cryptocurrency investigations, conduct research and data analysis, and help deliver training to customers across the LATAM and Caribbean region. You will learn to use Chainalysis tools and data to develop insights on illicit activity trends in crypto, and you will present findings to team members and customers. This is a growth-oriented role for someone eager to build expertise in blockchain analysis while contributing to complex financial crime investigations alongside senior team members.   In this role, you'll: - Support complex cryptocurrency investigations in collaboration with senior team members and cross-functional partners at Chainalysis - Conduct research and data analysis on financial crime cases involving cryptocurrencies, and document your findings in clear reports - Present investigative findings to team members and customers - Assist in reviewing the completeness of investigations and data collection methods to help determine the authenticity and relevance of evidence - Prepare summaries of research and analysis that highlight recommendations, follow-up leads, and potential risks to an investigation - Contribute to the development and delivery of workshops and training materials in English and Spanish - Represent the Chainalysis mission of bringing trust to blockchains with customers and partners in the region   We're looking for candidates who have: - A degree in cybersecurity, criminal justice, intelligence, forensic accounting, data analytics, finance, or a related field - 1-3 years of professional experience in financial crime investigations, intelligence analysis, law enforcement, compliance, or a related analytical role - Strong research skills, including experience with open-source intelligence and public or private databases - Interest in or passion for blockchain and cryptocurrency technology - Fluency in Spanish and English - Strong written and verbal communication skills - Ability to manage multiple tasks and work both independently and as part of a team - Based in Mexico City or willing to relocate Nice to have experience: - Familiarity with Chainalysis products (Reactor, KYT, or similar tools) - Working proficiency in Spanish - Previous experience supporting or conducting investigations related to dark web markets, counter-terrorism financing, or sanctions evasion - Exposure to cryptocurrency exchanges, DeFi protocols, or blockchain technology in a professional setting - Relevant certifications such as CCFC (Chainalysis Cryptocurrency Fundamentals Certification), CDAF, CRC, CCI, CFE, or CAMS AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Tamil language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every time Claude runs code, uses a computer, or works as an agent, it does so inside a sandbox. Our Sandboxing team builds the isolation layer behind that work. The same systems run the code Claude writes for users, the environments we train and evaluate models in, and the agents our customers deploy. These workloads are untrusted by design, and there are a lot of them. Sandboxes need to start in milliseconds, hold up under adversarial code, and scale to a very large number of concurrent sessions. You will work at the boundary between the Linux kernel, virtualization, and the container ecosystem. You will partner with research, product, and security teams to make sure that safe and fast do not trade off against each other. Key responsibilities Design, build, and operate the sandboxing infrastructure that runs untrusted, model-generated code and agent workloads at scale Improve sandbox startup time, density, and throughput, including snapshot and restore, checkpointing, and warm pools Strengthen isolation across compute, filesystem, and network, including egress controls and per-session credential handling Investigate and fix performance, reliability, and security issues at the kernel, hypervisor, and container runtime level Build the monitoring, tracing, and debugging tools that show where time and resources go inside a sandbox Work with researchers to support reinforcement learning environments and evaluations that need fast, reproducible, isolated execution Work with product and platform engineers to expose sandboxes as a dependable, well-designed capability for Claude products and customers Partner with security teams to threat-model the platform and to test, harden, and respond to escape and abuse scenarios Work with cloud providers on the hardware and platform features that our workloads depend on Share knowledge on systems programming and Linux internals, and help set technical standards for the team Minimum qualifications Software engineering experience in Linux systems programming, kernel development, or another low-level area Strong programming skills in at least one systems language such as Rust, C, C++, or Go Working knowledge of virtualization or container isolation technologies such as KVM, QEMU, Firecracker, gVisor, or runc Understanding of Linux resource management, including namespaces, cgroups, scheduling, and memory management Experience profiling and debugging performance issues at the system level Ability to work in unfamiliar codebases and technical areas, and to ship practical solutions with measurable results Strong communication skills and a commitment to building safe, reliable systems Preferred qualifications Experience building or operating a multi-tenant sandbox, serverless, or code execution platform Experience with microVMs, user-space kernels, or lightweight virtualization, including snapshot and restore Experience with OS-level security hardening, including seccomp, LSMs, and threat modeling of untrusted code Experience with eBPF and kernel tracing tools Experience with Kubernetes and cloud infrastructure at scale (AWS, GCP) Experience with network isolation, high-performance networking, or building egress proxies and policy layers Experience with sandboxes for AI agents, computer use, or reinforcement learning environments Experience with GPU virtualization, accelerators, or performance work on machine learning workloads Prior experience as a technical lead or mentor Representative projects Cutting sandbox cold start from seconds to milliseconds with snapshot-based restore and pre-warmed pools Designing a network egress policy layer so agents can reach approved services without exposing secrets Running many thousands of parallel reinforcement learning environments with strong isolation between them Building tracing tools that attribute latency and resource use inside a running sandbox Reducing per-sandbox memory overhead to raise density on each host Hardening the runtime against escape attempts found in internal red-team exercises 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: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Marathi language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: New York City, New York, United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About the Tavily at Nebius In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. Tavily provides the search and intelligence layer that powers AI agents and retrieval systems with trustworthy, real-time information. We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent but informed. About the Role We're looking for a senior, full-stack analyst / data scientist to own Product and PLG analytics end-to-end. You'll own the metrics behind our self-serve motion (signup, activation, usage, conversion, expansion and retention) and find the drivers behind them . You'll work directly with our CEO and leadership as a thought partner on product and growth decisions. This role is fully independent. When a question comes up, you take it all the way: from building the pipeline, model the data, train and deploy the model, analyze the results and come back with a clear recommendation. Nothing waits in a queue for someone else. You'll also work closely with the other analysts on the team, share methods and standards, and collaborate across Product, Engineering, Growth, Marketing and GTM. What You'll Do • Own Product and PLG analytics end-to-end: define, instrument and measure the self-serve funnel, from first API call through activation, conversion to paid, expansion and churn. • Uncover the drivers behind top-level KPIs: which behaviors, use cases and product experiences predict activation, retention and monetization. • Build what you need: data pipelines and models (SQL, dbt, Python, orchestration) that turn raw product, usage and billing data into trusted, reusable datasets. • Build and ship predictive models (conversion propensity, churn risk, usage forecasting, lead and account scoring) and bring their outputs into product and GTM workflows. • Design, run and evaluate experiments (A/B tests, pricing and packaging tests, onboarding changes) and apply causal inference where you can't run a clean experiment. • Proactively monitor key business and product metrics, investigate trends and anomalies, and surface insights stakeholders can act on. • Partner directly with the CEO and leadership on strategic questions, including pricing, growth levers, product bets and market opportunities, and turn ambiguous questions into clear analysis and decisions. • Set the standard for how we measure product success: metric definitions, a shared source of truth and analytical rigor across teams. What We're Looking For (Must-Haves) • 5+ years of experience as a Product / Growth Analyst, Data Scientist or equivalent. • 2+ years in a SaaS company, with deep understanding of funnels, cohorts, activation, retention, monetization and PLG dynamics. • A strong statistical foundation. • A proven record of working end-to-end on your own, from data engineering through modeling to a delivered recommendation. • Strong hands-on experience using Python for data analysis, experimentation, machine learning and data modeling in a production environment. • Comfort working with large, messy, event-level datasets. • Hands-on experience building, validating and deploying predictive models (e.g., classification, forecasting, segmentation) that were used to make real business decisions. • Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders, including executive leadership. • Strong communication: you can turn complex analysis into a clear, compelling story and a concrete recommendation. • Experience with modern data tooling (Snowflake/BigQuery, dbt, Airflow, and BI tools like Omni/Looker/Tableau). • BSc in Statistics / Math / CS or equivalent. Nice to Have • Experience at an API-first, developer-focused or PLG company. • Experience with product analytics platforms (PostHog, Amplitude, Mixpanel). • Experience with pricing and packaging analysis or usage-based billing models. • Familiarity with LLMs / AI tooling, and using AI agents to speed up your own analytical work. • Evidence that you build things on your own: a GitHub profile, portfolio, side projects or publications. • MSc / PhD in Statistics / Math / CS or equivalent. Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $179,000 — $224,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Build the iOS platform that helps engineers ship confidently. As Notion’s mobile team grows, we’re turning the first generation of mobile foundations into a durable platform: clearer architecture, ergonomic testing, dependable observability, and faster CI/CD. This role is broad—you’ll shape the iOS stack end to end, from shared frameworks and build systems to release quality, with opportunities to work across our shared Rust layer and AI infrastructure for mobile development. You’ll pair with mobile AI and core product engineers to understand friction, evaluate new iOS capabilities, and decide what should become part of the platform. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE - Make the iOS platform agent-ready: Give engineers and agents dependable ways to build, run, test, screenshot, and iterate through the app so mobile teams can move faster without lowering the quality bar. - By the end of your first year, define how iOS features are built: establish architecture and ship developer tools, then partner with product engineers to adopt them. - Raise the bar for iOS reliability and release quality: Improve the systems that catch regressions, prevent incidents, and help engineers understand issues quickly across builds, tests, observability, and CI/CD.   SKILLS YOU'LL NEED TO BRING - Deep iOS engineering experience at scale: You’ve helped build and deploy mobile applications used by millions, and understand the reliability, performance, and operational practices required at that scale. - Platform or infrastructure experience: You’ve worked below the product-feature layer on mobile CI/CD, testing platforms, build systems, developer tooling, or shared frameworks—and can turn recurring friction into durable systems. - Strong architectural judgment: You’re familiar with multiple approaches to iOS architecture and can explain the trade-offs clearly, choosing patterns that make features easier to build, test, and maintain. - Cross-functional influence: You can partner closely with product engineers, understand their pain points, and earn adoption for new platform APIs, workflows, and standards without relying on authority. - AI-native engineering practice: You use AI tools and agents as real collaborators, framing tasks clearly, reviewing generated changes, testing behavior, and designing workflows that make the broader team more effective.   Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $150,000 - $168,000 per year.   By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.   #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: Boston, Massachusetts; Foster City, California; Marlton, New Jersey; Remote, United States Do you care about keeping developer tools running reliably, enjoy digging into the systems and infrastructure behind them, and know that reliable tools make all the difference for development teams? If you are calm under pressure, enjoy diagnosing complex systems, want to help developers overcome technical hurdles, and thrive on deep problem-solving across diverse tech stacks, this role is for you. About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. About TeamCity TeamCity is a highly scalable CI/CD server that integrates across the modern software ecosystem. Because it supports complex server-side setups and SaaS deployments, issues can stem from the product itself or the surrounding infrastructure. What you’ll do As part of our Support Engineering team, you will act as a crucial link between global engineering teams and our internal product developers. You will take ownership of incoming technical issues, pinpoint root causes, and provide working resolutions or clear escalations. You'll work American-timezone hours to give our global community timely, effective support. Day to day, you will: Identify whether an issue stems from the product, infrastructure, or third-party integrations. Provide workarounds, submit bug reports, or escalate issues directly to development. Capture insights and publish solutions following KCS (Knowledge-Centered Service) principles. Share user feedback with internal product teams to shape future tool improvements. What you’ll bring A systematic and structured, but flexible approach to troubleshooting complex software and infrastructure issues. A clear, direct communication style that explains technical details in ways others can understand. Comfort working independently across distributed teams and time zones. Curiosity about how different build systems, VCS providers, and clouds operate together. An inclination to leave documentation and systems better than you found them. What you’ll need Fluency in English, with strong written communication skills. The ability to work aligned with American time zones. Practical experience troubleshooting web servers and applications (such as Tomcat and Java-based environments). A working knowledge of relational databases (such as PostgreSQL, MySQL, or MSSQL). Hands-on experience with version control tools and hosting platforms (such as Git or Perforce, GitHub, GitLab, or Bitbucket). Familiarity with build automation tools (such as Gradle, Maven, or .NET build systems). An understanding of containerized environments or cloud infrastructure (such as Docker, Kubernetes, AWS, or Azure). What success looks like Success in this role means resolving complex support cases efficiently while maintaining clear communication with developers. You build trust by accurately diagnosing underlying infrastructure or application bugs rather than addressing symptoms alone. Over time, your contributions to the knowledge base reduce repeat issues, and your feedback helps product teams make TeamCity more resilient. #LI-DNI This range reflects the employer’s good-faith estimate of the base salary it reasonably expects to pay for the position at the time of posting. Starting pay within the range will be determined based on job-related factors such as skills, qualifications, experience, and work location. The base salary range (per year) for this position in the posted work location(s) is $144,000 — $216,000 USD We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: Helsinki, Finland About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. About the Team The Unified Privacy Platform team’s mission is to earn the trust of every DoorDash user by upholding their right to privacy, consent, and transparency. We are building a common privacy foundation across DoorDash, Wolt, and Deliveroo so Consumers, Dashers, and Merchants can understand how their data is used, control their choices, and exercise their privacy rights through simple, consistent experiences. Our work is organized around three connected pillars: the Privacy Center, a unified user-facing destination for privacy controls and rights; the Unified Privacy Platform, which captures and enforces consent, policy, jurisdictional requirements, and privacy actions; and Privacy Operations and Intelligence, which gives Legal, Support, Privacy, and engineering operators the workflows, diagnostics, audit history, and automation needed to resolve privacy work safely and efficiently. Together, these capabilities turn fragmented, one-off compliance work into reusable platform primitives that can support new products, brands, and emerging regulations. About the Role DoorDash is looking for an Engineering Manager to lead the Unified Privacy Platform team. You will lead a team of backend and platform engineers responsible for the next generation of privacy and consent infrastructure, including the Privacy Center, the User Consent Platform, privacy-policy decisioning, self-service data-rights experiences, and the operational tooling required to manage privacy cases at global scale. As the Engineering Manager, you will own and execute a multi-year vision for privacy at DoorDash. You will balance legal and regulatory correctness, user trust, security, reliability, and developer velocity while building systems that work consistently across DoorDash, Wolt, and Deliveroo. You will be a strategic partner to Product, Legal, Security, Data Governance, Marketing and Communications, and engineering leadership, establishing clear ownership boundaries and turning complex privacy requirements into scalable, self-service capabilities. You’re excited about this opportunity because you will… Lead and mentor a high-performing team of backend and platform engineers, fostering a culture of ownership, privacy by design, operational excellence, and thoughtful cross-functional partnership Drive the technical strategy across the Privacy Center, the Unified Privacy Platform, and Privacy Operations and Intelligence Build the cross-brand User Consent Platform, including canonical consent state, policy and configuration management, consent SDKs, audit history, and consistent enforcement across products and jurisdictions Deliver simple, self-service experiences for consent and communication preferences, Right to be Forgotten (RTF), Right to Information (RTI), and Data Subject Access Requests (DSARs) Turn emerging privacy and regulatory requirements into standardized platform capabilities instead of one-off product implementations Lead the migration from fragmented legacy consent systems to a single source of truth across DoorDash, Wolt, and Deliveroo, while managing compatibility and safe deprecation Define clear contracts with data-governance fulfillment systems and downstream product and storage teams so privacy actions are traceable, retryable, auditable, and correctly reflected back to users and operators Provide architectural guidance for distributed systems that manage sensitive user choices, policy evaluation, orchestration, secure data delivery, reporting, and immutable audit trails Partner with recruiting to build a diverse and inclusive team, attracting and retaining exceptional engineering talent We’re excited about you because you have… A bachelor’s, master’s, or doctoral degree in Computer Science or a related field, or equivalent practical experience 3+ years of experience in people management leading backend or platform teams 8+ years of industry experience Extensive experience as an engineer or engineering leader in a fast-paced, platform-focused development environment Proven experience designing large-scale distributed systems, service application programming interfaces (APIs), policy or rules engines, workflow orchestration, state machines, data-lifecycle systems, or audit architectures Preferred experience with privacy, consent, data governance, or regulatory systems, including concepts such as the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), California Privacy Rights Act (CPRA), data-subject rights, retention, deletion, and legal holds The ability to translate ambiguous legal, policy, and product requirements into clear platform boundaries, reusable abstractions, and executable roadmaps Strong product sense and the ability to partner effectively with Legal, Product, Design, Security, Data, Marketing, Support, and engineering teams across multiple brands and geographies A growth mindset—you are eager to expand your skills, raise the quality bar, and build enduring systems in a rapidly changing environment Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Задачи: — Deliver novel and impactful insights for client organizations using machine learning and AI technologies. — Work closely with Product, Platform Data, Insights & Strategy, and Sales teams to create client-facing analyses. — Create data products from scratch and automate code for reuse by teammates and future projects. — Leverage extensive datasets to identify and classify behavioral patterns of medical professionals. — Operate effectively in a fast-paced environment to exceed client expectations. Требования: — At least 4 years of professional experience as a Data Scientist or related roles working with complex, high-volume, structured and unstructured datasets. — Prior experience in data science consulting at firms such as ZS, Trinity, IQVIA, BlueMatter, etc., thriving in fast-paced environments. — Advanced knowledge of statistical concepts including exploratory data analysis, experimental design, and probability theory. — Deep understanding of modern machine learning techniques. — Proven ability to design, train, and evaluate large-scale production models using frameworks such as PyTorch or TensorFlow. — Advanced SQL proficiency with skills in writing and optimizing complex queries across multiple tables and data relationships. — Advanced Python skills including object-oriented programming, production-grade code design, and modern data science libraries. — Hands-on experience with distributed data processing tools and concepts for scalable analysis and model training. — Excellent data visualization and storytelling abilities to translate technical insights into clear narratives for internal and client stakeholders. — Curious, fast learner with passion for data, continuous learning, and staying current with advances in machine learning research. Условия: — Total compensation anticipated between $119,333 and $172,800 depending on experience, skills, location, and internal equity. — Compensation package may include base salary, equity (where applicable), and annual bonus or incentive compensation (where applicable). — Comprehensive benefits package including medical, dental, vision insurance, 401(k) with company match, flexible paid time off, company holidays, paid parental leave, professional development opportunities, wellness and mental health resources, remote work support, and home office stipend (where applicable). — Flexible work arrangements with remote work options in the U.S., including Northeast cities and San Francisco headquarters. — Inclusive and diverse workplace committed to equal opportunity and reasonable accommodations during application or interview process.

Location: Metn, Lebanon The Company Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience. Technology is at the heart of everything we do. Our product and engineering teams work every day to build experiences that make customers’ lives easier while continuously improving internal systems to deliver faster and at the best cost. If you’re excited about working in a high-growth startup environment and want to be part of a team shaping the future of how people shop in the Middle East, we’d love to hear from you. About the Role Are you passionate about building scalable backend systems while owning the cloud infrastructure that powers them? As a Senior Backend Engineer (Platform & DevOps) at Toters, you'll split your time between designing and developing production-grade backend services and improving the cloud platform, deployment pipelines, and operational excellence that enable our engineering teams to deliver software safely and efficiently. In this role, you'll own services end-to-end—from application design and implementation to deployment, monitoring, scalability, security, and production reliability. Working closely with Software Engineers, Product Managers, and Infrastructure teams, you'll help build resilient systems that power our products while continuously improving the developer experience. In this role, you will: Backend Engineering Collaborate with cross-functional teams to translate business requirements into scalable backend solutions. Design, develop, test, and maintain high-performance backend services using PHP (Laravel). Design and build RESTful APIs and microservices that power customer-facing and internal applications. Write clean, maintainable, and well-tested code following engineering best practices. Optimize application performance, database queries, caching strategies, and system scalability. Participate in architecture discussions and contribute to technical decisions that improve long-term maintainability. Conduct thoughtful code reviews and mentor engineers through technical guidance and best practices. Platform & DevOps Design, build, and maintain cloud infrastructure on AWS to support highly available and scalable applications. Build and improve CI/CD pipelines that enable fast, reliable, and secure software delivery. Manage containerized applications using Docker and Kubernetes. Automate infrastructure provisioning and configuration using Infrastructure as Code (Terraform or similar tools). Improve system observability through monitoring, logging, alerting, and performance dashboards. Optimize cloud infrastructure for scalability, reliability, security, and cost efficiency. Participate in production incident response, troubleshooting, root cause analysis, and post-incident reviews. Implement security best practices for applications, infrastructure, secrets management, and access control. Continuously improve deployment processes, operational tooling, and developer experience across engineering teams. Key Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 6+ years of experience in backend software engineering, with significant hands-on experience in cloud infrastructure and DevOps practices. Strong experience developing backend applications using PHP (Laravel) . Solid understanding of Object-Oriented Programming (OOP), SOLID principles, design patterns, and software architecture. Experience designing and building RESTful APIs, distributed systems, and microservices. Strong experience with relational databases such as PostgreSQL or MySQL , along with caching technologies such as Redis . Strong hands-on experience with AWS , including services such as EC2, ECS, Lambda, RDS, S3, IAM, CloudWatch, VPC, and SQS. Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar tools. Experience working with Docker and Kubernetes in production environments. Experience using Infrastructure as Code tools such as Terraform or CloudFormation. Strong understanding of Linux systems, networking fundamentals, and cloud security best practices. Experience implementing monitoring, logging, and observability solutions using tools such as CloudWatch, Grafana, Prometheus, or the ELK stack. Experience owning production systems, participating in on-call rotations, and resolving production incidents. Strong communication skills with the ability to collaborate across teams and mentor engineers. Passion for building scalable, secure, and reliable systems while continuously improving engineering excellence. Nice to Have Experience with Go , Python , or additional backend programming languages. Experience with messaging and streaming technologies such as Kafka , RabbitMQ , or AWS SQS/SNS . Experience deploying serverless applications using AWS Lambda. Experience with Helm, ArgoCD, or GitOps workflows. Experience building Internal Developer Platforms (IDPs) or improving developer tooling. Experience with service mesh technologies such as Istio or Linkerd. Experience working in high-growth technology companies, e-commerce, or on-demand delivery platforms. AWS certifications are a plus. Why Toters? Flexible work environment with hybrid-friendly roles. Opportunity to work across software engineering and cloud infrastructure, building systems that directly power Toters' products. Solve complex engineering challenges involving backend architecture, cloud infrastructure, automation, and distributed systems. Collaborate with talented engineers in a culture of ownership, mentorship, and continuous learning. Direct impact on products used by thousands of customers every day. Competitive compensation package. Exclusive discounts on Toters orders. First-class medical insurance.

Location: Metn, Lebanon Head of AI Transformation The Company Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience. Technology is at the heart of everything we do. Our product and engineering teams work every day to build experiences that make customers' lives easier while continuously improving internal systems to deliver faster and at the best cost. If you're excited about working in a high-growth startup environment and want to be part of a team shaping the future of how people shop in the Middle East, we'd love to hear from you. About the Role Are you ready to make AI leverage a company's defining competitive advantage? As a Head of AI Transformation at Toters, you'll transform how we build software, unlock every function to build with AI, and compound our proprietary data and intelligence into product and business outcomes. The role sits above day-to-day line management and is accountable for outcomes, cross-org alignment, and unblocking. You'll own direction, standards, and outcomes, while delivery is co-owned with our platform and area teams. In this role, you will: Your mandate spans four workstreams. AI-native software development Own the strategy and operating model for AI across planning, development, review, testing, and release. Take our internal AI development harness to maturity across every engineering team, and define reusable AI workflows for our main types of engineering work. Own AI governance: guardrails, code review policy (including reducing human review load where AI review quality supports it), validation standards for AI-generated code, and cost and usage visibility per team. Deliver velocity with safety, measured by cycle time, review load, defect trends, and cost per unit of output. Everyone is an AI builder. Grow our internal AI building platform beyond engineering, activating domain experts across Product, Operations, Finance, and Commercial as builders. Shape a Forward-Deployed Engineering function that finds high-value opportunities across the business and lands them as working AI solutions. Build a compounding intelligence layer of shared context, prompts, patterns, and learnings that makes every new build faster than the last. Drive adoption, measured by live use cases, functions actively building, and time from idea to working tool. AI-native internal tooling Make the AI-native path the default for building internal and admin tools, with the traditional engineering queue as the exception. Partner with our admin platform and Design System teams so AI-built tools compose with shared foundations rather than fragmenting them. Free up engineering capacity, measured by engineer-hours per month, moved from low-complexity internal requests to strategic work. AI-powered customer features Enable product teams to ship customer-facing AI features, partnering with our Applied AI platform on personalization, semantic search and recommendations, fraud intelligence, and intelligent spend. Set the bar for production AI: evals, guardrails, degradation paths, and measurable business attribution for every AI feature. Deliver shipped product impact: AI features live across multiple product domains with attributable gains in conversion, retention, or efficiency. Across all workstreams Drive alignment with engineering, product, and business leaders, and clear the blockers that slow adoption. Act as Toters' technical reference on AI, guiding architecture decisions and evaluating tools, models, and vendors. Mentor engineers and builders across the company to raise AI fluency and engineering excellence. Report progress, trade-offs, and results clearly to leadership. Key Qualifications Bachelor's degree in Computer Science or a related field, or equivalent practical experience. 10+ years of software engineering experience, including several years setting technical direction across multiple teams at Staff or Principal level. Hands-on experience building and shipping production LLM systems: retrieval, agents and tool use, evals, and guardrails. Deep, daily experience with AI-assisted development tools, and a track record of driving their adoption across engineering teams. Strong system design and backend foundations, with the depth to review architecture across services, data, and infrastructure. Experience defining engineering standards, governance, or operating models and getting them adopted at organization level. A data-driven approach to measuring engineering productivity and business impact (e.g., DORA metrics, A/B testing). Proven ability to influence without authority across engineering, product, and business functions. Strong English communication skills and the ability to explain AI trade-offs to technical and non-technical audiences. Nice to Have Production ML experience in personalization, search and recommendations, or fraud detection. Experience enabling non-engineers to build with AI or low-code tools. Experience managing LLM cost, usage, and vendor strategy at scale. Experience as a Tech Lead Manager or leading a small engineering team. Familiarity with PHP (Laravel), PostgreSQL, Redis, and AWS. Previous experience with food delivery, e-commerce, or on-demand platforms. Public work on AI engineering: talks, writing, or open-source contributions. Why Toters? Define how a high-growth company builds with AI, with company-wide scope and direct backing from leadership. Flexible work environment with hybrid-friendly roles. Opportunity to lead impactful initiatives and shape technical strategy. Collaborate with talented engineers while growing your career. Strong culture of mentorship, collaboration, and continuous learning. Direct impact on products used by thousands of customers every day. Competitive compensation package. Exclusive discounts on Toters orders. First-class medical insurance.

Location: Seoul, South Korea About the company Pixelogic, a subsidiary of the IMAGICA GROUP, is a global provider of content localization and distribution services for the media and entertainment industry. Built on advanced next generation workflows and operations in Burbank, Culver City, London, Cairo and Cape Town, Pixelogic services the industry’s leading content owners including the major Hollywood studios, broadcasters and digital platforms. Pixelogic services include subtitling and closed captioning, foreign language dubbing, access services, text and metadata translation, audio services, marketing and promotional material design and versioning, digital cinema mastering and key fulfillment, home entertainment mastering, compression and authoring for physical media formats, transcoding and packaging for digital distribution products, archive mastering, and custom software and application development services. Pixelogic was founded in 2016 as a next-gen media supply chain provider focused on premium localization and distribution services for features and series, including marketing materials such as trailers and TV spots. The company localizes content in over 60 languages and services all worldwide distribution venues and delivery formats. This includes support for digital cinema, physical media (DVD, Blu-ray and Ultra HD Blu-ray) and hundreds of digital media variants. Pixelogic employs nearly 700 full-time employees worldwide. To support our continued expansion, we are currently looking for “Roll Up Your Sleeves” problem solvers that can work as part of a world-class team. Our work environment is unique. So is the right candidate. This is a fantastic opportunity to join a forward looking company that offers an exciting, creative and dynamic work environment with tremendous career growth potential. Responsibilities: · Responsible for the creation and QC review of Korean SDH subtitle file · Maintain quality standards with accuracy and speed and adhere to style guidelines and project-specific instructions. · Meet tight deadlines while maintaining a high standard of quality · Must be punctual, dependable and flexible, and possess a team attitude and willingness to adapt to last-minute changes to programming and industry. · Manage assignments on a pro-active basis and escalate issues to management. · Maintain the confidentiality of sensitive content · Misc. tasks as assigned by Senior Management ------------------------------------------------------------------------------------------------------ 한국어 SDH 자막 파일 작성 및 QC 검토 담당 정확성과 속도로 품질 표준을 유지하고 스타일 가이드라인과 프로젝트별 지침 준수 높은 수준의 품질을 유지하면서 엄격한 마감일 준수 시간을 지키고 신뢰할 수 있으며 유연해야 하며, 프로그래밍 및 산업의 막판 변화에 적응하려는 팀 태도와 의지 사전 예방적으로 할당을 관리하고 문제를 관리로 확대 민감한 콘텐츠의 기밀 유지 고위 경영진이 할당한 작업 Requirements Qualifications: · Bachelor's or Master's Degree, preferably in Korean, linguistics and language study majors and/or Entertainment and Media · Minimum of 3 years of SDH Creation and proofreading experience required · Knowledge of professional scripting, and subtitling software highly desirable · Deep sense of urgency and ability to work in a fast-paced environment with high volume · Attention to detail and accuracy · Positive attitude when experiencing obstacles and enthusiastic to get things done · Excellent reading skills, speling/vocabulary and grammar · Ability to follow technical/style guide for multiple client content types · Must be residing in South Korea ------------------------------------------------------------------------------------------------------- 학사 또는 석사 학위, 가급적이면 한국어, 언어학 및 언어학 전공 또는 엔터테인먼트 및 미디어 전공 최소 3년 이상의 SDH 생성 및 교정 경험 전문적인 스크립팅 및 자막 소프트웨어에 대한 지식 볼륨이 높은 빠른 환경에서 작업할 수 있는 깊은 긴박감과 능력 디테일과 정확성에 대한 주의 집중 장애물을 경험할 때의 긍정적인 태도와 일을 해낼 수 있는 열정 뛰어난 읽기 능력, 철자/어휘 및 문법 여러 클라이언트 콘텐츠 유형에 대한 기술/스타일 가이드를 따를 수 있는 기능 한국 거주 Benefits Benefits Equal Opportunity Employer We are an equal opportunity employer. Our employment decisions are made without regard to race, religion, color, gender, gender identity, disability, age, sexual orientation, national origin, marital status, citizenship, veteran, military, or any other legally protected status. 고용 평등 기업 저희는 고용 평등 기업으로, 인종, 종교, 피부색, 성별, 성 정체성, 장애, 나이, 성적 지향성, 국적, 결혼 유무, 시민권, 참전용사, 군인 혹은 기타 법적 보호를 받는 지위가 채용 결정 시 아무런 영향을 주지 않습니다 Benefits Robust pension plan Global company with a diverse and inclusive environment Career development Collaborative, team-based structure 혜택 탄탄한 연금 제도 다양하고 포괄적인 글로벌 기업 경력 계발 협력적이고 팀 중심의 구조

Location: Pattaya City, Thailand Turn your passion for luxury into a career opportunity! Explore the world of premium brands and make a lasting impact in fashion, beauty, jewelry, or automobiles. About the Role: As a luxury brand evaluator, you will step into the world of luxury to discreetly assess customer experiences, providing critical feedback that helps brands refine their services. Whether visiting boutiques, purchasing online, or returning a product, your voice shapes the future of luxury. Flexibility - each in-store visit takes approximately 20 minutes, giving you the flexibility to complete multiple assignments. Frequent opportunities - perform several missions per month and collaborate with some of the most prestigious brands worldwide. What you will be doing: Choose your assignments - align your missions with your personal preferences and profile. Visit luxury stores or evaluate online - engage with sales associates in the stores or online from the comfort of your home. Observe carefully - check the ambiance, service quality, and overall customer experience. Provide honest feedback - use our platform to share your observations through questionnaires. About CXG At CXG, we connect premium brands with over 80,000 evaluators across 70 countries. With 12 global offices and almost two decades of CX retail expertise, we’re committed to redefining the customer experience for luxury giants. Join us and enjoy the flexibility of working on the go with our mobile platform, CXG Live . On this platform, you can seamlessly manage missions, certifications, and feedback. Requirements Current customer of premium and luxury brands. Not currently under contract with any retail brands, to ensure impartiality. Punctual, organized, detail-oriented, and reliable. Observant and passionate about customer experience. No prior experience is required; we value honest feedback from genuine customers. Benefits This is a freelance , project-based position Compensation for Non-Purchase Evaluations: Earn a fee based on mission complexity. Compensation for Purchase-Based Evaluations: Reimbursement for approved items as stated in the mission brief.

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: As a Global Security Program Manager on Notion’s Global Safety & Security team, you’ll help protect our people, workplaces, and operations across a distributed global portfolio. This role exists to bring greater consistency to physical security programs as Notion scales—strengthening technology, vendor operations, incident readiness, and local execution without losing the welcoming experience we want employees and guests to feel. You’ll work across Workplace, People, IT, Legal, business leaders, vendors, and building partners, balancing hands-on operations with repeatable program design. This is a remote role based in the United States, with travel to Notion offices, events, and other locations expected—up to 50% based on operational needs. A GREAT TUESDAY: - Review regional differences in access control or visitor management and turn them into clear priorities for the global parity project. - Work with a vendor or building manager to resolve a security gap, balancing local context with global standards. - Draft an incident update, using AI to improve clarity, then validate the details and judgment behind the message. - Coordinate international project work while responding thoughtfully to an urgent operational issue.   WHAT YOU'LL ACHIEVE: - By your 90th day, kick off a global physical security parity project that creates shared visibility into regional practices, gaps, and priorities. - By your 90th day, use AI to accelerate clear, effective communications, reduce busywork, and keep detail-heavy work accurate and reviewable. - By the end of your first year, take ownership of Notion’s physical security technology program, improving how systems, data, and operating practices support safe and resilient workplaces. - By the end of your first year, demonstrate program ownership in one major physical security or safety pillar, such as business continuity and disaster recovery, event security, travel risk management, monitoring operations, crisis management, guard force operations, or governance. - By the end of your first year, deliver multiple international projects with clear plans, sound judgment, and effective coordination across regions, vendors, and cross-functional partners. SKILLS YOU'LL NEED TO BRING: - Demonstrated ability to own physical security or safety programs across multiple sites or regions, including security technology, access control, incident response, or vendor operations. - Effective project management skills, with the ability to move multiple international projects from ambiguity to clear plans, decisions, and delivery. - Clear, thoughtful communication with internal partners, vendors, building management, and local stakeholders—especially when translating security requirements into practical action. - A service-oriented approach and eagerness to help create secure, welcoming workplace experiences; you bring curiosity, ownership, and sound judgment to how you work with others. - Novice AI proficiency and a willingness to use AI as a practical collaborator for communication, accuracy checks, documentation, and reducing repetitive work. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $208,000 – $233,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Forward Deployed Engineering (FDE) embeds with our most strategic customers to build production AI systems on Claude. The team takes on work where no playbook exists yet, turns what works into repeatable patterns for partners and our field teams, and brings what it learns back to Product and Research. Demand for FDE is well ahead of the team's capacity, and the team is growing quickly across the Americas, Europe and Asia. We're hiring a dedicated Strategy & Operations Lead for FDE. You'll be the strategy partner to FDE leadership and own the plan: headcount and capacity, the mix of work the team takes on, how engagements are priced and measured, and how more of the work moves to partners. You'll run the business reviews and build the reporting leadership uses to make these calls. You'll sit on our GTM Strategy & Operations team, dedicated full time to FDE. You'll work closely with Finance, Deal Desk, Legal, Revenue Operations, Partnerships and Applied AI, and with the FDE program leads who run pre-sales and delivery. This is a hands-on role. You'll build the models and dashboards yourself and use Claude to automate as much of the reporting as you can. Key responsibilities: Own the plan. Build FDE's annual and quarterly plan: headcount and hiring by region and role, capacity, utilization, and the mix of commercial, research and mission-driven engagements. Model demand and capacity. Build the demand, capacity and staffing models behind the plan, with scenarios leadership can use for hiring and prioritization decisions. Run the business reviews. Lead FDE's monthly and quarterly reviews. Set KPIs with FDE leadership, own the scorecard, and write the materials for GTM and company leadership. Build the reporting. Work with Revenue Operations and Data Science to get engagement, staffing and outcome data into our systems so reporting runs without manual work. Measure what engagements lead to: production launches, consumption, expansion, and patterns partners reuse. Shape the commercial model. Partner with Finance, Deal Desk and Legal on how FDE engagements are priced, packaged, discounted and contracted, and track the economics of the portfolio. Scale through partners. Build the plan and the economics for moving more work to delivery partners: which engagements partners own, co-deliver or get Anthropic advice on, what capacity they need, and how we measure their quality and cost. Design the org. Work with FDE leadership and People on new roles, manager spans and where new headcount lands as the team grows. Lead cross-functional projects. Take on questions that span Sales, Applied AI, Customer Success, Product and Research, from defining the problem through to a decision and a working process. Automate with Claude. Use Claude Code and agents to build and run the models, dashboards and workflows this role depends on. Minimum qualification: Have worked in strategy and operations, business operations, strategic finance or consulting, including direct work with a professional services, implementation, solutions engineering or forward deployed team Understand how a services business makes and loses money: utilization, staffing mix, rates, backlog and margin, and how they connect to customer outcomes Can build a capacity or staffing model from scratch, explain every assumption in it, and pull the data yourself with SQL Have run planning cycles and business reviews for a senior leader and written the materials yourself Have taken an unclear question to a recommendation, a decision and a process that other teams still use Earn the trust of senior technical and commercial leaders and can influence them without direct authority Are comfortable working fast with imperfect data and simple processes that you improve as you go Use AI tools in your own work today and want to push that much further Are excited about Anthropic's mission to build AI that is safe and beneficial Preferred qualification: 10+ years in GTM strategy and operations, business operations or consulting Built the operations of a professional services or FDE team through a period of fast growth Worked on services pricing, statements of work and deal terms with Finance and Legal Built or managed delivery partner programs, including subcontracting, co-delivery and partner economics Experience in a consumption or usage-based business, including tying services work to product usage Enough technical fluency to talk with engineers about how LLM applications are built (agents, evals, MCP) Experience with Salesforce and professional services automation (PSA) tools Experience at an AI, cloud or developer infrastructure company Experience preparing materials for executive and board audiences 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: $270,000 — $310,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, California 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: As Global Head of Land Revenue, you’ll be the global owner for technical new-business strategy, pipeline, and conversion—a customer-facing, technical revenue leadership role, not a RevOps or sales operations role. You’ll own Notion’s Land number (net-new and upgrade iARR across regions), work closely with EPD and Product, and step into high-stakes technical conversations with customers and partners as Notion shifts from product-led to sales-led selling in an AI-native world. This role is the global owner for new business standards, pipeline programs, and operating cadence. You’ll set the way for landing new business revenue globally, partner with Regional GMs who own regional P&L outcomes, and ensure consistent execution through scalable programs, playbooks, enablement, and governance. You’ll partner closely with Marketing, RevOps, Enablement, EPD, Partnerships, Sales leadership, and regional teams to improve pipeline quality, win rates, conversion, and time-to-productivity. You’ll also design operating standards that balance regional accountability with global program consistency. You’ll be measured on qualified pipeline creation, coverage, conversion, program ROI, velocity, handoff quality, and BDR/SC ramp outcomes—requiring you to operate with strong systems thinking, executive presence, and cross-functional influence. WHAT YOU'LL ACHIEVE: - Build and lead the global net-new business motion: define strategy, program portfolio, operating cadence, governance, and performance standards across regions - Own the global net new business strategy for Land, including ICP and segmentation guardrails, plays, coverage model assumptions, annual and quarterly planning, sequencing, and investment trade-offs - Establish global definitions and standards for stages, qualification, handoffs, pipeline math assumptions, and reporting integrity - Build and run global pipeline generation programs in partnership with Marketing and regional leaders, including campaign-to-pipeline motions, partner-sourced pipeline programs, ABM or named-account plays, and field event program standards - Define the measurement framework for new business programs, connecting inputs to outputs and outcomes across cost, pipeline, iARR, velocity, and win-rate lift - Own the Land-side technical selling motion and set the technical bar for sales: SC plays, discovery and demo standards, scalable demo environments, certification paths, and ramp mechanisms - Run the global new business operating cadence, including weekly program reviews, monthly pipeline health inspection, quarterly planning, escalation paths, and decision-rights models - Partner with Regional GMs, Marketing, RevOps, Enablement, EPD, Product, and Partnerships to align new business programs, systems, content, enablement, feedback loops, and change management SKILLS YOU'LL NEED TO BRING: - Deeply technical SaaS background with meaningful customer-facing experience—solutions engineering, solutions consulting, field or customer engineering, or technical sales—plus ownership of a revenue, quota, pipeline, or conversion outcome - Deep understanding of pipeline mechanics and how to influence conversion levers end-to-end, including qualified pipeline creation, coverage ratios, lead response, handoff quality, stage progression, win-rate lift, and velocity - Strong program-building instincts: you can design scalable plays, instrument them with data, and run an inspection cadence that drives behavior change - Experience building operating systems for global teams, including cadences, dashboards, governance, playbooks, definitions, and change-management mechanisms - Executive presence and cross-functional leadership: able to align and influence Regional GMs, Marketing, RevOps, Enablement, EPD, Partnerships, and regional teams without relying on direct reporting lines for every dependency - Ability to balance regional autonomy with global craft excellence: you set the bar, create standards, and drive consistency while enabling local execution - Strong enablement and role-design instincts, with the ability to define expectations, onboarding paths, certification standards, and time-to-productivity mechanisms for BDR and SC motions - Builder orientation and comfort in ambiguity: you create the playbook while the org is executing, and you iterate quickly based on market, customer, and performance signals - Hands-on with AI tools, and able to credibly explain how AI and agents change workflows for technical teams NICE TO HAVES: - Experience with solution-led selling motions and technical or product-adjacent go-to-market - Track record building global programs that still allow regional adaptation - Experience partnering deeply with Marketing, Partnerships, RevOps, and Enablement to create measurable net new business impact - Experience designing partner-sourced pipeline programs, ABM or named-account motions, or field event program standards at scale We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you're excited about a role but your past experience doesn't align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you're a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you. 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. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $300,000 - 400,000 per year. By clicking "Submit Application", I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion's Global Recruiting Privacy Policy. #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: Newark, NJ; Greater New York City Area Workplace: hybrid Role Overview: We are looking for a driven Product Manager to lead our mobile merchant experience and drive growth in the multi-location POS capabilities. In this role, you’ll work with the head of product to drive product strategy, roadmap prioritization, and delivery of NRS’ POS capabilities and experiences. You’ll work cross-functionally with engineering, design, operations, go-to-market teams, and executive leadership to create intuitive, scalable products that solve real operational challenges for NRS merchants. This is an opportunity to build meaningful products from the ground up in a fast-moving environment where customer empathy, speed, and product quality matter. Why join us: Build a major new product line with meaningful ownership and influence from day one. Help shape technology that empowers independent restaurant operators and small businesses. Join a collaborative, execution-focused team that values speed, customer empathy, and product excellence. Competitive compensation, strong benefits, and significant opportunities for growth and impact. What You’ll Do: Own the full product lifecycle—from customer discovery and strategy through launch, adoption, and continuous iteration. Spend significant time with NRS merchants and staff to deeply understand workflows, operational pain points, and unmet needs. Define product strategy, requirements, user stories, acceptance criteria, and feature specifications that translate complex operational workflows into simple, intuitive experiences. Partner closely with engineering and design to deliver high-quality, scalable features with speed and precision. Drive roadmap prioritization using customer insights, market trends, product analytics, and business objectives. Collaborate with sales, marketing, onboarding, and support teams to ensure strong product-market fit and successful product adoption. Analyze competitive offerings and emerging industry trends to identify opportunities for differentiation and innovation. Define and monitor key product metrics, using data to continuously improve product performance and customer outcomes. Serve as the internal subject matter expert for your products and advocate for the voice of the customer across the organization. What We’re Looking For: 5+ years of Product Management experience building and scaling SaaS products. 2+ years of experience leading mobile features and experiences. Strong experience building products for SMB or consumer-oriented users, with a deep appreciation for usability and operational simplicity. Exceptional product discovery, prioritization, and problem-solving skills. Proven ability to simplify complex workflows into elegant, intuitive user experiences. Strong communication and stakeholder management skills, with the ability to influence cross-functional teams and drive alignment. Comfortable operating in a fast-paced, iterative environment with high ownership and accountability. Ability to work hybrid from an NRS office three days per week. Bonus Experience in the POS space. Familiarity with ordering, payments, inventory management, or loyalty. More Benefits: An exciting and challenging job with talented people around. Referral program – get rewarded for helping us grow the team with talented people. Health, Dental, Vision, & 401k. PTO – including vacation, sick leave, and holidays. Commuter Benefits Program. Short and Long Term Disability. Flexible working arrangements. Tuition Reimbursement Program, and more. A few words about us: IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.  We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions. National Retail Solutions (NRS) builds technology that helps small businesses thrive. We provide point of sale systems, payments, ecommerce, loyalty, and other tools that empower independent retailers nationwide.

Location: Brazil Workplace: remote About CertiK Born from groundbreaking research at Columbia and Yale, CertiK has grown to become the largest Web3 security platform, combining proprietary models with comprehensive security solutions and end-to-end toolkits to support the full lifecycle of Web3 development. Founded in 2017 and headquartered in New York City, CertiK provides a wide range of services including smart contract audits, penetration testing, on-chain monitoring, incident response, and compliance solutions for some of the largest projects and institutions in the digital asset ecosystem. Responsibilities Build, deepen and manage relationships with banks, brokers, asset managers, payment institutions and fintechs entering digital assets in Brazil and LATAM Map each institution's digital asset roadmap and regulatory obligations, and position CertiK's solutions accordingly. These include security assessments, custody and infrastructure audits, penetration testing, monitoring, and compliance tooling Lead complex, multi-stakeholder sales cycles with CISOs, CTOs, compliance, risk, innovation and legal teams through to close Represent CertiK at industry events, associations (e.g. Febraban, ABBC, ABFintechs, ABToken, ANBIMA) and executive forums; speak on panels when relevant Navigate institutional politics: understand who decides, who influences and how procurement actually works Work with CertiK's technical, advisory and product teams to shape proposals that fit institutional requirements Share market intelligence to inform CertiK's regional strategy and product roadmap Requirements 10+ years in financial services, fintech, consulting, technology or infrastructure sales, serving financial institutions in Brazil An established, active network at C-level and senior management in Brazilian banks and financial institutions. You can get a meeting in weeks, not months A track record of closing and expanding enterprise relationships with long cycles and multiple stakeholders Executive presence: comfortable in boardrooms, with regulators and on stage Political acumen and the patience to build relationships over time Solid understanding of the Brazilian regulatory landscape (BCB, CVM) and how institutions handle compliance Fluent Portuguese and professional English; Spanish is a plus Web3 or cybersecurity experience is not required. Curiosity and willingness to learn are. We will give you the technical backing Bonus Points Experience selling to CISOs, risk or compliance functions (GRC, cybersecurity, audit, regtech, core banking, payments) Background at a Big Four firm, bank, core banking/payments vendor, or regulatory consultancy Network across other LATAM markets (Mexico, Chile, Colombia, Argentina)