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Location: Haiphong, Haiphong, Vietnam; Vietnam We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. About the Team The Industrial Engineering team makes the way we work smarter, simpler and more efficient. We use data and engineering expertise to optimize production processes, workflows and resources, improving productivity, quality and reliability. By identifying bottlenecks, reducing waste and continuously improving how work gets done, we help build more efficient and scalable operations. Job Overview In the Senior Industrial Engineer role, you will join the Product Development organization to boost efficiency, drive value, and remove waste. The Industrial Engineering team applies Lean principles and Design to Value (including Design for Manufacturing) to analyze current processes and products. This is done through close cooperation with internal teams such as brand marketing, product development, sourcing, QA, and finance, along with external suppliers. This role acts as an important advocate for Continuous Improvement by leading key projects and training others. You will be a subject matter expert on Lean and Kaizen methods and tools. Location and Work Arrangement This role is based at our Hai Phong, Vietnam office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. Role Specifics: Based in Hasbro’s Vietnam Hai Phong office 50% travel required for the role with frequent and regular travel to supplier sites in mainly Vietnam and Indonesia What You'll Do Collaborative Lean Practitioner Lead strategic Value Stream Mapping, Kaizen, and quick hit projects from definition through implementation. Coordinate cross-functional resources for these events and collaborate with external suppliers. Drive and implement labor efficiency through deployment of global industrial engineering process, tools and automation solutions. Change Agent with Excellent Communication Skills Work cross-functionally to develop and deliver training to all levels of organization as needed. Build the skills of all functional leaders and associates through hands-on interactions and personal mentoring in lean management tools. Approach each project and your internal customers with the understanding that change requires trust and partnership. You communicate in a clear, respectful, and persuasive way to lead to agreement and positive outcomes with your continuous improvement initiatives. Establish appropriate metrics and report on progress, achievements, and results. This includes executive level reporting, management updates, and guideline sharing throughout the organization. Analytical Problem Solver Dive deep into the data and can use it to jump into problem solving mode quickly because you seek to understand first before suggesting a solution. You enjoy gathering data and information to prioritize issues and use your expertise to find the best business approach. Develop and complete project plans using strong project management skills. What You'll Bring Bachelor’s Degree or equivalent experience in Industrial Engineering or a related field. At least 3 years working within a Lean-focused setting, with direct involvement in preparing, conducting, and driving outcomes from Kaizen and other Continuous Improvement activities. Previous experience as a facilitator and mentor involving problem solving, process development and/or behavior change methods and tools. Solid knowledge of Lean methodology, principles, and tools including Value Stream Mapping & Kaizen. Demonstrated ability to understand and communicate Design for Manufacturing opportunities and requirements to Product Development engineering teams. Plant Industrial Engineering & manufacturing operations experience preferred (ideally in consumer product goods). Strong verbal and written communication skills across functional audiences with different backgrounds. Fluency in English and can communicate in Mandarin. Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Mexico WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Mid Market Account Executive at Harvey, you will drive the growth and success of our AI solutions within the legal and professional services markets. You will be responsible for establishing and growing relationships with mid-sized law firms and corporate and financial services clients, understanding their unique challenges, and presenting AI solutions that streamline their processes and boost productivity. Your ability to articulate the value of Harvey's products, coupled with your passion for groundbreaking AI technologies, will help us shape the future of knowledge work. WHAT YOU'LL DO - Own your book of business by managing a named account list, prioritizing and cultivating inbound leads, and outbounding directly to high-potential prospects. - Manage the full customer lifecycle from prospecting to contracting, onboarding, growing, and renewals. - Achieve and exceed revenue targets and other key sales metrics. - Build strong relationships with key decision-makers and stakeholders, understanding their pain points and aligning Harvey's solutions with their needs. - Conduct high velocity, tailored client evaluations, including product demonstrations and presentations, showcasing the power of Harvey's AI systems to prospects and clients. - Effectively work cross-functionally across the organization to shape Harvey’s solutions to meet customer needs. Collaborate closely with the engineering and product teams to stay updated on the latest AI advancements and tailor solutions to meet client goals. - Develop our sales playbook to enable scaling, documenting learnings that can be applied across accounts. WHAT YOU HAVE - Proven track record of selling complex software solutions, with the ability to successfully execute on a consultative, solutions-oriented, value-based selling methodology. - Excited about prospecting, and capable of independently leading a sales cycle from start to finish - Ability to independently manage a pipeline, accurately forecast key sales performance metrics, and consistently maintain CRM hygiene - Ability to lead a complex, multi-threaded sale with stakeholders ranging from executives across various functions to day-to-day product users – especially the ability to convey technical concepts to non-technical audiences. - Demonstrated passion for Harvey’s mission and strong understanding of AI and its potential applications in knowledge work. Interest in the legal profession and helping lawyers do their jobs better and more efficiently. - Team player who can collaborate effectively across internal functions (product, legal, etc.) to achieve common goals. - Energized by contributing to the development of our team, sales processes, and culture, refining the value proposition of our solutions and creating sales resources to drive our success. - Experience working in or adjacent to the Legal industry a plus but not required LOCATION CDMX DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-AB1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: AU: Sydney (45 Clarence St); AU: Melbourne: (260 Burwood Rd); AU: Queensland Remote Worker; AU: New South Wales Remote Worker; AU: Brisbane (243 Edward St); AU: Victoria Remote Worker Workplace: Hybrid The role / impact Reliability is a top strategic priority at Xero, directly influencing customer trust across more than 3,000 services. In this Site Reliability Engineering role, you will help shift reliability into a front-row discipline, moving beyond reactive fixes to uncover and resolve systemic resilience challenges across our global platform. You will partner closely with product teams to design reliability by default, ensuring our systems withstand unexpected events while supporting millions of small businesses. You will take ownership of platform health by building automated tooling, championing chaos engineering experiments, and identifying potential failures before they impact customers. From coordinating incident management rituals and post-incident analysis to introducing load-shedding mechanisms, your contributions will directly safeguard platform availability and elevate engineering practices across the organisation. The team / how they connect You will join a focused Site Reliability Engineering team spanning Australia and the United States, responsible for incident management strategy, artificial intelligence operations tooling, and high-availability frameworks. The team works in close partnership with product and infrastructure squads across Xero, embedding alongside engineers to resolve shared reliability gaps and implement resilient design patterns. Together, the team shares incident commander responsibilities across regions, turning operational learnings into long-term systemic stability. The team is currently working on / Initially, you will focus on - Working across a modern technical stack centred on Kubernetes, AWS (including ECS and managed services), Golang, Python, and C#. - Developing custom Kubernetes operators to automate storage resizing, alert provisioning, and reliability-by-default capabilities for development teams. - Enhancing telemetry pipelines to extract AWS-specific metrics from managed services and route actionable alerts directly to product squads. - Implementing chaos engineering scenarios to test infrastructure failure modes, alongside building API load shedding and rate limiting to protect services against traffic surges. Where and how you can work This role offers the flexibility to work remotely from anywhere in Australia, with office hubs available in Sydney, Melbourne, and Brisbane. Whether you prefer working from home or coming into our collaborative spaces for team gatherings and boost days, we provide the autonomy to create a working routine that suits you best. Here are some of the things we are looking for - You bring a solid background in site reliability engineering or DevOps, with experience diagnosing and strengthening distributed systems. - You have practical experience managing containerised workloads in Kubernetes and running infrastructure on cloud platforms such as AWS. - Your skillset includes practical coding proficiency in Golang, Python, or C#, coupled with curiosity for applying modern AI tools to operational challenges. - You display strong agency and initiative, proactively identifying operational friction and proposing sustainable technical solutions without waiting for instruction. - You demonstrate familiarity with incident management, participating in on-call responses and conducting post-incident reviews that translate into permanent fixes. - You possess clear communication skills, consistently linking technical reliability investments directly to customer needs and measurable business outcomes. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Americas Time Zone (UTC -07:00 ~ UTC-04:00) Workplace: Remote 🌎 Please only apply if you are based in Americas timezones. We unfortunately cannot accept applications beyond these. The specific countries we can from in this timezone are listed here https://docs.google.com/document/d/1bzBZ38P6zt02s96S9OsF8MnM1tq1JccB-g75gcnKpPw/edit?tab=t.0#heading=h.s4l5faueua5w. ⏳ Please hurry! We're running a speedy process. Applications close on 13 November. Assessments will close on 15 November, and we'll host interviews during the 2 following weeks. *** Hi there, I'm Josh Lipner, Manager, Account Management at TestGorilla. We're excited to share more about the Customer Success Advisor, Renewals role and our team. ABOUT TESTGORILLA At TestGorilla, we’re on a mission to place 1 billion people in their dream jobs. To democratize opportunity, we are building the world’s leading skills-based talent discovery platform - one that replaces reliance on resumes with scientific validation of what people can truly do. Founded as a 100% remote company in 2020, our global team is united by high standards, a lot of heart, and a relentless drive to conquer new technological frontiers. We are AI-fluent builders who care deeply about replacing bias with fairness. After empowering thousands of companies to hire smarter and faster, we are now unlocking the next phase of our scale-up journey - where you’ll play an instrumental role in creating a world where skills matter most! ABOUT THE ROLE As our Customer Success Advisor, Renewals, you'll run the commercial conversations that keep our customers with us. You'll take renewals from first quote to signed order, handle pricing and billing conversations within our pricing and discount framework, and guide customers through plan changes, upgrades and downgrades across our assessment and sourcing products. You'll also take customers through the commercial side of our migration to usage-based pricing: explaining what changes, what it means for their spend, and landing the right plan for them using our migration playbook. When a customer wants to cancel or disputes a charge, you'll work the conversation through our retention and refund guidelines, and bring in your manager when a case sits outside them. You'll work with AI agents as part of your day. They handle the routine end of renewals and billing: sending notices, preparing standard quotes, gathering account and invoice history, and answering simple plan questions. That frees you to spend your time on the conversations that need a person: negotiating within the framework, handling objections, and resolving the cases that don't fit a standard answer. You'll check their work before it reaches customers, step in when a case needs you, and share what you learn so they get better at the routine work over time. This is a high-volume role with a commercial edge. You'll run a steady pipeline of renewals and commercial cases across our self-serve and mid-market customers. We're looking for someone who is commercially astute, organised, a great communicator and calm under pressure, and who is excited and able to contribute to our AI journey: automating the repeatable and humanising the exceptional. RESPONSIBILITIES In this role, your responsibilities will include but not be limited to: - Uphold TestGorilla's behaviours and foster an inclusive, supportive culture. - Collaborate effectively with global colleagues across teams and time zones. - Own renewals from first quote to signed order across our self-serve and mid-market customers, for both our assessment and sourcing products. - Handle pricing and billing negotiations, upgrades, downgrades and our usage-based pricing migration within our pricing framework and playbooks: quoting, explaining what changes and what it means for the customer's spend, and landing the plan that fits how they use the product. - Work cancellation and dispute conversations through our retention and refund guidelines, resolving unexpected charges and refund requests with Finance and retaining the customer where we can. - Work alongside our AI agents, letting them handle the routine end of renewals and billing while you take the negotiations, objections and cases that need a person. - Train the agents: check what they send before it reaches customers, correct what's wrong, and feed back what you learn so they handle more of the routine work over time. - Maintain a single source of truth in our agentic customer success platform, with non-negotiable CRM hygiene: every renewal, plan change and dispute logged accurately so the team and the agents work from the same picture. WHAT YOU'LL BRING We're looking for someone who: - Is passionate about TestGorilla's mission to help one billion people find their dream jobs. - Is commercially astute, with experience managing renewals and negotiations at scale in a Customer Success, Renewals, Account Management or Sales role. You can quote, explain a price change, and apply a pricing and discount framework to get to the best outcome. This is a must-have. - Is AI fluent and has personally built automations or agentic workflows (in n8n, Zapier or similar), with experience working alongside AI agents or automation in a customer-facing role. You can show us what you automated and what it delivered. Using an LLM alone is not enough. This is a minimum requirement. - Communicates clearly, in writing and on calls, in English and Spanish. Fluency in both is a requirement. - Is good with customers: you build relationships, stay calm in challenging conversations, de-escalate and retain, and manage a high volume of cases without letting any slip. You treat CRM hygiene as part of the job, not an afterthought. - Thrives in a fast-paced, remote-first environment with high expectations and some ambiguity, and is honest with yourself that this is the kind of place you want to work. - Learns fast and stays curious: you pick up new tools quickly, ask good questions, check answers rather than accept them, and give and take feedback in the moment. - Is available for customer calls during US business hours. This is a requirement. We actively seek diversity and encourage applications from everyone. If you're interested in this role but your experience doesn't perfectly match the description, please still apply. Studies show that women and underrepresented groups can be hesitant to apply unless they meet every requirement. If this role excites you and you're confident you can do the job, we encourage you to apply! BONUS SKILLS While these skills aren't a requirement, we'd be very interested to hear from you if you have: - Prior familiarity with Chargebee, Zendesk, HubSpot, n8n, Jira or Confluence. - Experience with usage-based or credit-based SaaS pricing models. WHAT'S IN IT FOR YOU? - Global Team: Join a fully remote, mission-driven team from around the world - Competitive compensation: Receive a competitive pay ( €31,360 - €38,000 per year) + Share Appreciation Rights (SARs) - Remote & flexible work: Work from almost anywhere*. Enjoy flexible hours and asynchronous work to balance work and life. - *Check out the full list of countries we currently hire from here https://docs.google.com/document/d/1bzBZ38P6zt02s96S9OsF8MnM1tq1JccB-g75gcnKpPw/edit?tab=t.0#heading=h.s4l5faueua5w, but note that we're only hiring in the Americas timezones for this role. - Remote work budget: €1,000 available each year or up to €2,000 from day 1 if you're buying a laptop! - Growth & development: Invest in yourself and your career with a 3.5% L&D budget and clear growth opportunities - Stimulating work environment: Tackle new challenges and work with innovative technology in a dynamic setting - Connect with your team: Join optional fun virtual socials, AMAs with team members and leadership, and regular fun chats. Build a strong sense of community! - TestGorilla community groups: Join peers to build community and boost opportunities for connection, advocacy, and professional development. - Parent/Caregiver support: We provide a caregiver-friendly work environment with paid 8-16 week parental leave and tailored return-to-work approaches - Work-life balance: Our unlimited and flexible time off policy empowers you to take the time you need to recharge and maintain your well-being INTERESTED? We believe in using our own product to ensure fair and objective hiring. If this role aligns with your skills and aspirations, we invite you to complete one of our very own assessments. This will give you a firsthand experience of our platform and help us get to know you better. We look forward to hearing from you! TestGorilla is committed to building a diverse and inclusive workplace. We believe that diverse teams are stronger teams, and we encourage applications from people of all backgrounds. We understand that some candidates may experience test anxiety, and we want to assure you that accommodations are available and can be requested prior to sitting our assessments. Your request will not negatively impact your application, as we do not factor this into our review process.

Location: Paris; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE JOB Mistral AI is seeking Applied Scientists and Research Engineers focused on time series. You will design, train, and deploy state-of-the-art time-series foundation models, and apply them to the most demanding forecasting problems in industry, from power grids and plants to trading desks. Timestral, our family of time-series foundation models, ranked first on amongst all benchmarks at release (tech report https://arxiv.org/pdf/2610.37585v1: https://arxiv.org/pdf/2610.37585v1 ). The role has two sides: building the next generations of Timestral with our Science team, and taking them into production with our industrial and financial clients, adapted to their data. Working cross-functionally with both external and internal science, engineering, and product teams you will deliver high-impact AI solutions. We are made of researchers, engineers, product builders, ex-founders who love tackling the most complex real world problems in the industry. WHAT YOU WILL DO - Run pre-training, post-training and deploy state of the art time-series foundation models on clusters with thousands of GPUs. - Generate and curate large-scale time-series datasets, real and synthetic, and build evaluators and benchmarks for forecasting and other time-series tasks. - Push the frontier of Timestral: architectures, training recipes, scaling, and new capabilities such as anomaly detection, classification and embeddings. - Fine-tune and adapt Timestral on client data, in the cloud or on-premise, and benchmark it against the client's existing models. - Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment. - Collaborate with cross-functional teams to tackle complex use cases, including agents that combine Timestral with Mistral LLMs. - Manage research projects and communications with client research teams. ABOUT YOU - Fluent in English with excellent communication skills, at ease explaining complex technical concepts to both technical and non-technical audiences. - Expert with PyTorch or JAX. - Solid knowledge of modern deep learning and large language models: architectures, pre-training, post-training and evaluation. - Experience pre-training or fine-tuning time-series foundation models or large transformer models at scale. - Strong background in time-series modelling: probabilistic forecasting, multivariate series and covariates, and classical baselines (statistical models, gradient boosting). - Not afraid of contributing to a big codebase; finds their way around independently with little guidance. - Writes clean, readable, high-performance, fault-tolerant Python code. - Doesn't need roadmaps: moves independently and is comfortable with uncertainty. - Low-ego, collaborative and eager to learn. - Track record of success through personal projects, professional projects or academia. NICE TO HAVE - Ex-founder or builder - PhD / Master in a relevant field (Machine Learning, Statistics, Applied Mathematics, Physics). Exceptional candidates from other backgrounds welcome. - Research on time-series foundation models: pre-training, scaling, synthetic data or evaluation. - Hands-on experience training or fine-tuning LLMs, building agents and tool use, or models that combine text and time series. - Industry experience in energy, industrial operations, telecom or finance, or experience deploying models for industrial clients. - Experience working on large code bases or large machine learning models at scale. - Contributions to a large open-source or industry codebase. - Publications in top academic journals or conferences. - Enjoys improving existing code: typing, tests, CI pipelines. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote in EMEA Hi there! We are Testlio, a global software testing company with its own freelance network. Our freelancers test apps from companies across the globe. Testlio is a great place for people who value the freedom and flexibility of remote work. At the moment, we are looking for freelance software testers based in Réunion or Monaco to participate in a software testing project for one of our clients, a globally know premier sporting league based out of the United States. We're currently in the process of testing out their app and subscription flow, and we'd love to welcome you as part of the testing team. Benefits of being a freelancer at Testlio Schedule: You can create your schedule and work on other testing runs that interest you. Location: Testlio is a 100% remote company. Seriously, you can work from the coffee shop, your home, or while waiting for class. Growth: You’ll be testing global-scale mobile apps and have the chance to boost your skills and grow your career. Payment: You are paid by the hour, not by the bug. This means you get paid even if you did not uncover any bugs. Requirements Age: You have to be at least 18 years old. Location: Must be physically located in Réunion or Monaco. The use of a VPN is prohibited. Language: Must at least be comfortable speaking English . Availability: Approximately 1h total for the setup + 90 minutes for the testing task , spread over a couple of days. Devices: Laptop/ PC Experience: No experience needed, we can provide training and instructions. What does testing look like? Type of testing: Payments testing. Type of work: You will be asked to test out our client's subscription flow to make sure that it works accurately in your country. Tasks: For this workspace, we will be validating our client's overall subscription flow. The workspace will be divided into 3 parts: You will be invited to participate in a paid project onboarding, where you can check the details and documentation prior to testing You will receive a pre-payment from us that will be used in the next stage of the workspace, approximately $20 - $25 USD. You will be asked to use the pre-payment amount to help us test our client's subscription purchase. Pay rate: $18 USD / h. Payment: Payment will be made via PayPal or Payoneer. How to start? Fill out the questionnaire. A member of our Recruitment Team will contact you with the next steps via email. If you are not a match with our requirements visit our Community page instead to find out more about how you can participate in other projects. If you have any questions or need help, please contact Opportunities@testlio.com using the code FRENCHPAYMENTS in the Subject line/email body so we can quickly identify your request. Once you are ready, please fill out the initial application below. Those who meet the requirements will receive further information to participate in this paid testing opportunity.

Location: Remote in Martinique Hi there! We are Testlio, a global software testing company with its own freelance network. Our freelancers test apps from companies across the globe. Testlio is a great place for people who value the freedom and flexibility of remote work. At the moment, we are looking for freelance software testers based in Martinique to participate in a software testing project for one of our clients, a globally know premier sporting league based out of the United States. We're currently in the process of testing out their app and subscription flow, and we'd love to welcome you as part of the testing team. Benefits of being a freelancer at Testlio Schedule: You can create your schedule and work on other testing runs that interest you. Location: Testlio is a 100% remote company. Seriously, you can work from the coffee shop, your home, or while waiting for class. Growth: You’ll be testing global-scale mobile apps and have the chance to boost your skills and grow your career. Payment: You are paid by the hour, not by the bug. This means you get paid even if you did not uncover any bugs. Requirements Age: You have to be at least 18 years old. Location: Must be physically located in Martinique. The use of a VPN is prohibited. Language: Must at least be comfortable speaking English . Availability: Approximately 1h total for the setup + 90 minutes for the testing task , spread over a couple of days. Devices: Laptop/ PC Experience: No experience needed, we can provide training and instructions. What does testing look like? Type of testing: Payments testing. Type of work: You will be asked to test out our client's subscription flow to make sure that it works accurately in your country. Tasks: For this workspace, we will be validating our client's overall subscription flow. The workspace will be divided into 3 parts: You will be invited to participate in a paid project onboarding, where you can check the details and documentation prior to testing You will receive a pre-payment from us that will be used in the next stage of the workspace, approximately $20 - $25 USD. You will be asked to use the pre-payment amount to help us test our client's subscription purchase. Pay rate: $12 USD / h. Payment: Payment will be made via PayPal or Payoneer. How to start? Fill out the questionnaire. A member of our Recruitment Team will contact you with the next steps via email. If you are not a match with our requirements visit our Community page instead to find out more about how you can participate in other projects. If you have any questions or need help, please contact Opportunities@testlio.com using the code FRENCHPAYMENTS in the Subject line/email body so we can quickly identify your request. Once you are ready, please fill out the initial application below. Those who meet the requirements will receive further information to participate in this paid testing opportunity.

Ищем специалиста, который умеет не только разрабатывать ML-модели, но и доводить их до production, отвечать за их работу и влиять на реальные бизнес-решения.

Проектировать, разрабатывать и оптимизировать ML-пайплайны: от подготовки данных и обучения моделей до внедрения в production. Разрабатывать и дообучать ML/NLP-модели под продуктовые задачи.

Location: AU: Sydney (45 Clarence St) Workplace: Hybrid The role / impact As a Lead Engineer within the Internal AI Accelerator Squad, you will be at the forefront of Xero’s transformation into an AI-native company. You will act as a forward-deployed engineer, embedding yourself within various internal business teams to co-design and operationalise agentic AI workflows that remove manual toil and fundamentally reshape how our people work end-to-end. Your impact extends beyond the code; you will lead the delivery of high-stakes AI agents from discovery to production, while acting as a technical partner and evangelist. By defining the patterns, guardrails, and tooling for intelligent automation, you will create the blueprint that enables the rest of Xero to harness the power of AI safely and effectively. The team / how they connect You will join a dedicated, high-velocity squad focused on boosting the adoption of agentic AI and intelligent automation across the global business. The team connects through a shared mission of rapid experimentation and "vibe-coding," working closely with product owners and SMEs to turn complex, messy workflows into elegant, automated solutions. The team is currently working on / Initially, you will focus on - Designing and iterating on AI agents and workflow orchestrations using tools like Claude, Gemini, and MCP. - Integrating AI systems with core enterprise platforms including Salesforce, Workday, Slack, and NetSuite. - Developing reusable automation patterns and shared templates to be used by the business - Building evaluation and monitoring frameworks to measure performance and ensure the safety of AI-native workflows. Where and how you can work At Xero, we embrace a hybrid way of working that prioritises both flexibility and meaningful connection. You will have the autonomy to work from home, supported by regular boost days in our modern office spaces designed to foster collaboration, brainstorming, and team bonding. Here are some of the things we are looking for - You bring a wealth of experience in building and operating applications or automations within production environments, particularly involving APIs and cloud infrastructure. - Your background includes hands-on delivery of AI-driven solutions such as agents, copilots, or RAG systems using LLMs like Claude or Gemini. - You possess proficiency in programming languages such as Python or TypeScript and feel comfortable navigating SDKs and webhooks. - A systems-thinking approach is part of your toolkit, allowing you to design agents with security, auditability, and controlled blast radius at the forefront. - You have a track record of partnering with non-technical stakeholders to translate business pain points into technical solution designs. - You are a natural coach who enjoys uplifting the AI fluency of those around you through pairing, workshops, and clear communication.

Location: CAN: Vancouver (333 Seymour St) Workplace: Hybrid The role / impact As a Senior Engineer within the Internal AI Accelerator Squad, you will be at the forefront of Xero’s transformation into an AI-native company. You will act as a forward-deployed engineer, embedding yourself within various internal business teams to co-design and operationalise agentic AI workflows that remove manual toil and fundamentally reshape how our people work end-to-end. Your impact extends beyond the code; you will lead the delivery of high-stakes AI agents from discovery to production, while acting as a technical partner and evangelist. By defining the patterns, guardrails, and tooling for intelligent automation, you will create the blueprint that enables the rest of Xero to harness the power of AI safely and effectively. The team / how they connect You will join a dedicated, high-velocity squad focused on boosting the adoption of agentic AI and intelligent automation across the global business. The team connects through a shared mission of rapid experimentation and "vibe-coding," working closely with product owners and SMEs to turn complex, messy workflows into elegant, automated solutions. The team is currently working on / Initially, you will focus on - Designing and iterating on AI agents and workflow orchestrations using tools like Claude, Gemini, and MCP. - Integrating AI systems with core enterprise platforms including Salesforce, Workday, Slack, and NetSuite. - Developing reusable automation patterns and shared templates to be used by the business - Building evaluation and monitoring frameworks to measure performance and ensure the safety of AI-native workflows. Where and how you can work At Xero, we embrace a hybrid way of working that prioritises both flexibility and meaningful connection. You will have the autonomy to work from home, supported by regular boost days in our modern office spaces designed to foster collaboration, brainstorming, and team bonding. Here are some of the things we are looking for - You bring a wealth of experience in building and operating applications or automations within production environments, particularly involving APIs and cloud infrastructure. - Your background includes hands-on delivery of AI-driven solutions such as agents, copilots, or RAG systems using LLMs like Claude or Gemini. - You possess proficiency in programming languages such as Python or TypeScript and feel comfortable navigating SDKs and webhooks. - A systems-thinking approach is part of your toolkit, allowing you to design agents with security, auditability, and controlled blast radius at the forefront. - You have a track record of partnering with non-technical stakeholders to translate business pain points into technical solution designs. - You are a natural coach who enjoys uplifting the AI fluency of those around you through pairing, workshops, and clear communication. COMPENSATION & TOTAL REWARDS At Xero, we value the impact and skills you bring to the team. We don’t just hire for a role, we invest in people. We believe in a Total Package philosophy which means your value isn't just a single number on a paycheck. While base salary is a core component, we look at your compensation through a holistic lens that includes equity, performance incentives, and world-class benefits. The expected base salary range for this role in: - CAD $180K – CAD $210K - Plus bonus and equity Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: Medical, dental, vision, 401(k) match, and 21 days PTO. Xero also provides eligible employees with Wellbeing leave, volunteer leave, holidays, paid parental leave. Further information included on our Xero Perks page.

Location: Houston, United States EnerMech provides integrated solutions for complex energy projects worldwide, combining best-in-class equipment and cutting-edge technology that supports the entire asset life-cycle, along with decades of unrivaled expertise. Every move we make is intentional, ensuring energy infrastructure runs smoothly and efficiently. Guided by our values and foundational principles we drive positive impact, delivering seamless, transformative solutions that get it right first time. At EnerMech, our vision is clear and ambitious: to be the leader in specialist technical solutions across all markets, sectors, and regions we engage with. We are committed to optimizing performance, boosting reliability, and enhancing efficiency. Our mission is simple: to work in partnership with our customers to safely provide specialist technical solutions for energy and infrastructure assets globally. Role Overview The Global QHSSE Lead Auditor provides independent, risk-based audit and assurance across EnerMech’s global operations, projects, functions and management system. Reporting to the Global Head of QHSSE Systems & Assurance, the role leads and conducts enterprise, cross-regional and higher-risk assurance activities to determine whether QHSSE controls are appropriately designed, implemented in practice and effective in managing material risk. The role is expected to go beyond checklist auditing and procedural compliance. The Global QHSSE Lead Auditor will examine work as performed, test critical controls, assess management-system effectiveness, identify systemic weaknesses and weak signals, and produce clear, evidence-based findings that enable accountable leaders to improve. The role also strengthens audit capability across the global QHSSE function by establishing high standards for audit planning, evidence, interviewing, finding quality, corrective-action verification and auditor competence. Independence, professional judgment and the ability to constructively challenge senior leaders are fundamental to the position. Qualifications and Experience Recognized QHSE, Quality, engineering, risk, auditing or management-systems qualification appropriate to the role. Minimum 8 years of relevant QHSE, Quality, operational-risk, management-systems or assurance experience within complex or higher-risk industries. Minimum 5 years of practical audit and assurance experience, including leading audits or multi-discipline assurance activities. Demonstrated practical knowledge of ISO 9001, ISO 14001 and ISO 45001. Recognized Lead Auditor qualification in at least one relevant ISO management-system standard, with strong working knowledge across the integrated standards. Demonstrated ability to plan and execute risk-based audits, gather evidence, interview personnel, evaluate control effectiveness and write high-quality findings. Experience evaluating corrective actions, root causes and effectiveness of implemented improvements. Strong written communication and report-writing capability. Ability to constructively challenge operational and senior leaders while maintaining professional independence. Ability to work effectively across cultures, jurisdictions and business environments. Preferred Lead Auditor qualification across ISO 9001, ISO 14001 and/or ISO 45001. Degree or higher professional qualification in QHSE, Quality, Engineering, Environmental Science, Risk Management or related discipline. Chartered or equivalent professional QHSE or Quality membership. Formal investigation, root-cause analysis, Learning Team or critical-control verification training. Experience in energy, oil and gas, industrial services, offshore or comparable high-hazard industries. Experience conducting cross-regional, enterprise-level, supplier or project assurance. Experience supporting certification-body, client or regulatory audits. Strong data-analysis capability using QHSSE systems of record and assurance information. Requirements Ability and willingness to travel approximately 40–60% of the time, including significant international travel. Travel to EnerMech regions, projects, workshops, client locations, remote sites and operational facilities as assurance priorities require. Ability and willingness to travel offshore when required, subject to appropriate medical, competency and training requirements. Ability to work in industrial environments and comply with applicable site-access, PPE and operational requirements. Ability to support significant assurance, certification, event-related or executive review activities outside normal working hours when necessary. Ability to conduct assurance across different cultures, languages, jurisdictions and regulatory environments, using appropriate interpreter or specialist support where necessary. Benefits At EnerMech, you'll join a global organisation where innovation, collaboration and technical excellence drive everything we do. You'll have the opportunity to influence business strategy, develop long-term customer partnerships and contribute to some of the world's most challenging energy and industrial projects. We offer a collaborative and entrepreneurial environment where commercial leadership is valued, professional development is encouraged and your contribution will directly support the continued growth and success of our business. Diversity & Inclusion EnerMech is committed to creating a diverse and inclusive workplace where everyone feels valued, respected, and empowered to succeed. We welcome applications from candidates of all backgrounds and experiences.

Location: Slovenia; Lithuania; Latvia; Colombia; Brazil; Argentina Intetics Inc. , a global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a highly skilled and experienced Staff Data Scientist / Machine Learning Engineer to join our dynamic team on a full-time basis. Responsibilities: - Design, build, and maintain predictive Lifetime Value (pLTV) models using machine learning techniques such as XGBoost, CatBoost, and probabilistic forecasting methods. - Develop and manage a tiered scoring framework that assigns users to different prediction models based on data availability and signal quality. - Create and optimize calibration frameworks that transform raw model outputs into business-ready values through normalization, scaling, and custom loss optimization strategies. - Own feature engineering processes, building and maintaining scalable feature datasets from transactional, behavioral, and engagement data. - Define and enforce feature quality standards, ensuring model inputs are reliable, relevant, and suitable for production use. - Monitor model performance, drift, and data distribution changes, proactively identifying when retraining or model adjustments are required. - Analyze the impact of deployed models on downstream outcomes and detect feedback loops that may affect future model accuracy. - Develop and improve identity resolution processes to unify behavioral and transactional data across multiple data sources. - Build, test, and maintain production-grade Python services and data pipelines for model training, scoring, and signal delivery. - Implement robust software engineering practices, including automated testing, CI/CD, monitoring, idempotent processing, and deployment safeguards. - Collaborate with data, engineering, and product stakeholders to improve data quality, model effectiveness, and platform scalability. - Operate and optimize ML workflows in cloud environments using orchestration, scheduling, and distributed processing tools. - Ensure the reliability, accuracy, and scalability of machine learning systems that support critical business decision-making and performance optimization. Requirements 5+ years of hands-on ML engineering in Python with production-deployed models (not just Jupyter notebooks). You should be comfortable writing production-grade code, not just prototypes. Experience with gradient boosted trees (XGBoost, CatBoost, or LightGBM) in a production setting, including hyperparameter tuning, feature importance analysis, and model evaluation beyond default metrics. Strong SQL and BigQuery fluency. You will write complex feature engineering queries, scheduled transformations, and data validation logic directly in BigQuery. GCP production experience. Cloud Run, Airflow/Composer, Vertex AI, Pub/Sub. You have deployed and maintained ML workloads on GCP, not just completed certification exercises. Understanding of model calibration. You know the difference between a model that minimizes RMSE and a model that maximizes business value. You have experience with or strong intuition about how prediction errors compound when consumed by a downstream optimization system. Outbound API integration experience. You have pushed model outputs into external systems that act on them (ad platforms, recommendation engines, pricing systems, bidding systems). Strongly Preferred: E-commerce or DTC domain experience. Customer lifetime value, purchase prediction, churn modeling, or customer segmentation for retail or subscription businesses. Familiarity with probabilistic customer models (BG/NBD, Gamma-Gamma, or similar frameworks). If you haven't used these specifically, strong Bayesian statistics foundations are equally valuable. Ad platform signal engineering. Experience with Google Ads API (ConversionUploadService, Enhanced Conversions), Meta Conversions API (CAPI), or similar server-side event dispatch systems. Identity resolution or entity matching. Graph-based identity stitching, probabilistic matching, or CDP-style cross-device identity work. Nice-to-have: Terraform, CI/CD pipeline design, Docker containerization for ML workloads. Experience with causal inference methods, A/B testing in ad spend environments, or multi-armed bandit allocation. Familiarity with agentic development workflows (Claude Code, Cursor, or similar AI-assisted coding tools).

Location: Remote Poland At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the role We are looking for a Staff Machine Learning Engineer to be the technical leader building high-quality production-grade models powering credit lending decisions in countries across Europe and in Australia. You will use novel ML techniques and rich data representations to predict repayment behavior and optimize how we offer loans to our borrowers. In this role, you will help shape the future of how machine learning fuels Affirm’s global expansion. You'll partner with engineering, product, and risk leaders to design, implement, and scale advanced ML solutions that drive critical capabilities across the company. You will mentor engineers, bring clarity to complex, ambiguous problems, and contribute to a cohesive long-term ML strategy. What you’ll do * You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects. * You will collaborate with ML Platform, product, engineering, and risk leadership to shape long-term modeling capabilities needed for scalable international expansion. * You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes. * You will foster a culture of quality and ownership on your team by setting code review and design standards. * You will help develop talent on your team by providing feedback and guidance, and leading by example. What we look for * 8+ years of experience researching, designing, deploying, and operating large-scale, real-time machine learning systems. A relevant PhD can count for up to 2 YOE. * Strong Python skills and experience writing production-quality code. * Experience building and evaluating models for tabular classification problems (including gradient-boosted decision trees like LightGBM/XGBoost, and deep learning frameworks like PyTorch). * Experience working with distributed data processing or parallel compute frameworks (e.g. Spark, Ray). * Experience with ML lifecycle tooling for training orchestration, experimentation, and model monitoring (e.g., Kubeflow, Airflow, MLflow). * Proficient in using AI-powered developer tools (e.g., Claude Code, Codex, Cursor) to accelerate the model development lifecycle. * Strong engineering skills and the ability to provide hands-on technical leadership while working with our code and architecture. * Strong verbal and written communication skills that support effective collaboration with our global engineering team. Total Rewards We believe the people building honest financial products at Affirm should share in its success. That's why our total rewards are designed to support your health, growth, financial well-being, and future. In service of our mission, we reward employees through a combination of base pay, equity (from parent company), and comprehensive benefits. Base Pay Grade - P 365,000 zł  -  485,000 zł Base pay ranges and placement within those ranges are determined based on several factors, including role, experience, and job-related skills. In addition to base pay, all employees in this role are eligible to receive equity from the parent company each year. This means as Affirm's parent company grows, employees have the opportunity to share in that growth financially. Affirm Holdings, Inc. Equity Grade example Equity grade: 5 New hire equity: $48,000-$72,000 Annual Refresh: $15,000 Reward equity: $0-$225,000 Affirm also provides flexible spending wallets to all employees for technology and wellbeing related needs, which are reimbursable up to 1390 zł per month. In addition to your compensation, our comprehensive benefits are designed to support you and the people who matter most. Benefits include: • Competitive paid time off, paid public holidays, and additional paid Away Days to rest and recharge. • Comprehensive private healthcare through Lux Med's Platinum package. • A MultiSport card to support your health and well-being. • Learning and development programs to help you grow professionally. • Family healthcare support through Maven and parental leave support through Parentaly. • Mental well-being support through Lyra, including up to 12 confidential counseling or coaching sessions each year for you and your household members. • Financial well-being support through Northstar, with unlimited access to Certified Financial Advisors and planning tools at no cost to you. • Employee Resource Groups (ERGs) that foster connection and inclusion. • Eligibility for creative tax benefits, subject to applicable law, role, and company policy. Location - Remote Poland The majority of our roles can be located anywhere in Poland. This job description is not a contractual document, and is not intended to have binding force. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Предстоящие задачи: Разработка системного и прикладного программного обеспечения для шлюза безопасности; Планирование технической реализации задач в рамках модуля, оценка сроков и декомпозиция;

Location: AU: Sydney (45 Clarence St); AU: Melbourne: (260 Burwood Rd); AU: Brisbane (243 Edward St) Workplace: Hybrid Senior Software Engineer, AI Enablement The role & impact You'll join a small team that builds the tools, platforms and best practices helping engineers across Xero work with AI. Rather than shipping something once and moving on, you'll own it end to end from early experimentation through to production, including the run books, monitoring and rollback thinking that keep it reliable once real engineers depend on it day to day. This is a role with real influence. You'll help shape the technical direction of an internal skills marketplace and AI distribution platform used across the wider engineering organisation, work directly with vendors like AWS, Microsoft and GitHub on technology that isn't public yet, and help guide and challenge a team that's still early in its AI journey. The team & how they connect The AI Enablement team sits within Engineering Experience and focuses on helping product engineering teams work faster and better with AI through platforms, tooling and practical guidance rather than just standard tooling. It's a close-knit team, spread across Melbourne, Sydney and the Sunshine Coast, with a product manager based in Wellington, who stay connected through regular syncs and a genuinely collaborative way of working despite the distance. Initially, you will focus on - Our current stack is C#, .NET and AWS, with Python and TypeScript picked up along the way for AI tooling - Building an internal skills marketplace and a distribution platform for AI tools used across Xero's engineering org - Developing guidance and best practice for authoring agent skills, including agents for remediation tasks - Collaborating directly with AWS, Microsoft and GitHub on early-access technology not yet available in market Where and how you can work You can be based anywhere in Australia, and we're also open to candidates based in New Zealand. The team works in a hybrid way and is used to connecting across time zones, with regular in person boost days to come together, plan and collaborate as a team. Here are some of the things we're looking for, for this role - You bring hands-on software engineering experience, ideally with C#, .NET and AWS — if your background is elsewhere, we're still keen to talk, as good engineers pick up new stacks quickly - You've built internal tools or platforms that other engineers genuinely relied on - Production discipline matters to you: You write runbooks, set up monitoring and think through rollback before anything goes live - You communicate clearly and know how to bring people along with an idea, not just ship code quietly in the background - You're curious about coding agents and AI-native tools, and you keep an eye on where AI engineering is heading - You can challenge a decision directly and respectfully, and you learn new things in a structured, quality-focused way Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: CAN: Vancouver (333 Seymour St) Workplace: Hybrid ABOUT THE ROLE For a small business, getting paid isn’t an abstract technical problem. It affects whether they can pay their people, buy supplies and take on their next opportunity. We connect money movement with financial context to help small businesses manage cash flow with greater confidence. Payments is one of Xero's biggest areas of investment and growth, and it's how small businesses get paid, pay their people, and take on their next opportunity. As Engineering Manager, you'll lead the Payments Platform engineering team in Vancouver as it takes on early-stage initiatives that power money movement across Xero and enable new product lines globally, including global bill payments. You'll keep the team delivering while building the engineering practices and capability it needs to grow. THE TECHNICAL CHALLENGES The team is building the capabilities that sit underneath every payment a small business makes or receives. Four problems define the work: - A shared payments platform: Build orchestration, risk and fraud, and multi-provider capabilities that work across products and markets, helping teams launch new payment products faster without rebuilding the same foundations. - Global bill payments: Make a complex financial process feel simple for small businesses while keeping it accurate, secure and connected to the accounting record. - High throughput at scale: Design reliable, secure distributed services that remain dependable under real-world production constraints. - Customer impact alongside architectural progress: Selectively rebuild and enhance existing systems, delivering value quickly while moving toward a coherent long-term architecture. - AI capabilities customers can trust: Apply AI to challenging product problems while protecting customer trust, and bring the same discipline to how we evaluate and operate those capabilities. Your job is to make sure the team can take on these problems together, sequencing the work so that both customer value and long-term architecture move forward. IMPACT - First 6 months: you'll understand the payments platform, its consumers, and the customer problems it enables teams to solve. You'll have the team delivering production code, with a clear delivery plan and roadmap agreed for at least one core capability, such as onboarding, orchestration, risk and fraud, or multi-provider support. You'll also have set up healthy on-call and review practices, and you'll be building the team's capability through mentoring and technical reviews. - First 12 months:the team's architectural decisions will be running in production and helping new payment products launch faster. You'll have established engineering standards and clear ownership across the Vancouver Payments team, and the work will be reaching small businesses through faster, safer ways to pay and get paid. OWNERSHIP You'll own the delivery, staffing, and operational health of the Vancouver Payments engineering team, including hiring, performance, and career development for every engineer on it. You'll set the team's priorities with the product and engineering leadership, and you'll own the team's processes, quality standards, and on-call practices within agreed standards. Technical architecture decisions for the platform sit with the team's technical leads and principal engineers, and you'll make sure those decisions are backed by a team that can deliver them. Because the initiative and the team are both early in their development, you'll help shape how the team works, including its use of AI-assisted development. Engineers on the team own their work, including quality, reliability, and on-call, and you'll make sure that accountability is built into how the team operates. WHO YOU'LL WORK WITH - Lili Kan https://www.linkedin.com/in/lilixkan/, GM/VP, Payments Platform Engineering. Lili brings extensive experience building platforms and leading engineering teams in Silicon Valley. She previously led Payment Intelligence engineering at Stripe, building systems that protect payments from fraud. Before that, she spent four years at Uber, working across platform services, systems for operating self-driving fleets, and Driver Safety & Insurance Engineering. - Jing Feng https://www.linkedin.com/in/jingff, Head of Engineering, Payments Platform. Jing brings engineering leadership experience from Uber, Apple, LinkedIn and Yahoo. Most recently, she led Risk Product Engineering at Uber, building capabilities to detect and prevent fraud and risk. WHAT YOU BRING - A proven record of leading engineering teams that deliver highly available distributed systems under real production constraints, with strong operational practices - Experience growing and managing engineers, including hiring, performance management, and career development, and a track record of building inclusive, high-trust team cultures - Experience building a platform or product from an early idea into production, and evolving it as adoption and complexity grow - Enough technical depth in system architecture, API design, and data stores to guide design reviews and trade-off decisions with your technical leads - Experience setting direction and breaking complex problems into clear, actionable plans that lead to delivery - Comfort using AI tools to improve development workflows, with judgment about when and how to validate their output Nice to have: - Experience in payments, fintech, or money movement, such as payment orchestration, risk and fraud, or multi-provider integrations. Experience in adjacent domains with demanding reliability, security, or correctness requirements is also valuable. - Experience modernizing established systems while continuing to deliver value to customers - A track record of partnering with product, design, and other cross-functional teams to turn complex business needs into resilient engineering solutions HOW WE WORK We’re bold in our vision and pragmatic in execution, delivering useful improvements along the way rather than waiting for a large rewrite. We invest in AI to learn faster and focus effort on higher-value problems, while engineers stay accountable for what they ship. We use shared frameworks to avoid reinvention, leaving teams room to innovate. Engineers own their work, including quality, reliability, and on-call. Leaders set context and priorities, and engineers help shape the solutions. WHERE WE WORK We offer a hybrid model that blends the flexibility of working from home with the collaboration of the office, including designated boost days in our modern office spaces. This role is open to hybrid candidates in Vancouver, British Columbia. We also welcome applications from candidates across Canada interested in relocating to Vancouver. OUR HIRING PROCESS 1. TX phone screen (45 minutes): a conversation with your Talent Specialist about your background, motivations and the role. 2. Technical assessments: A systems design assessment, run through an independent third-party provider and based on real-world scenarios. 3. Technical deep dive (45–60 minutes): with a Principal Engineer and the hiring team. You'll walk through a past project you led, covering how you thought about it, executed it and led through its complexity. 4. Values / Future Proof Xero (45 minutes): how you show up day to day, aligned with Xero's values and capabilities such as adaptability, ownership, customer thinking and AI fluency. 5. LEADership (45–60 minutes): real examples of how you lead, influence and deliver in ambiguous, fast-changing environments, assessed against Xero's leadership principles. COMPENSATION & TOTAL REWARDS At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits. The expected base salary range for this role is $188,000 - $236,000 CAD Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets. This is a posting for an existing vacancy. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: Москва Мы создаем будущее личных финансов. Приложение «СберИнвестор» — это не просто торговый терминал, а умный помощник, который помогает миллионам пользователей принимать взвешенные решения на фондовом рынке. Мы ищем человека в команду, которая отвечает за всё, что связано с искусственным интеллектом. У нас нет жестких рамок: если у вас есть смелая идея (от нейросети, предсказывающей настроение рынка по новостям, до AI-ассистента, который объясняет сложные финансовые термины на котятах) — мы дадим ресурсы, чтобы вы спроектировали, продали эту идею менеджменту и реализовали её. **Наш технический стек:** 1. **Агенты:** LangChain, LangGraph, CrewAI. 2. **LLM:** Prompt Engineering, Fine-tuning, работа с эмбеддингами, оценка качества моделей. 3. **RAG:** Построение пайплайнов от парсинга PDF и HTML до векторных баз (например, Qdrant, Milvus) и ранжирования результатов. 4. **Classic ML & RecSys:** Gradient Boosting, матричные факторизации, ранжирование, CTR-прогнозы. 5. **Python:** Уверенное владение Pandas, NumPy, PyTorch. Обязанности Разрабатывать AI-решения полного цикла: от идеи и прототипа до продакшена и мониторинга. Проектировать и выкатывать в прод надежные пайплайны обработки данных и обучения моделей. Заниматься Data Science в его полном понимании: исследовать данные, проверять гипотезы, строить модели и оценивать их бизнес-эффект. Внедрять LLM и агентов для автоматизации поддержки, аналитики и персонализации контента. Продавать свои идеи: защищать гипотезы перед продакт-менеджерами и бизнесом, доказывая ценность метриками. Требования * Понимание полного цикла разработки ML-модели. * Знание математики и статистики на уровне понимания того, как работают алгоритмы «под капотом». * Опыт работы с Git (мы пишем чистый, поддерживаемый код). * Умение визуализировать данные и находить в них инсайты. * **Главный критерий:** горящие глаза, искренний интерес к AI и финансовому рынку. Вы должны читать статьи на arXiv не потому, что «надо для работы», а потому, что вам интересно. Условия * Гибкий гибрид (обсуждаем индивидуально). * Современный IT-офис вблизи Москва-Сити с фитнес-залом. * Ипотека с выгодой для сотрудника и льготные условия кредитования. * Бесплатная подписка СберПрайм+. * Скидки на продукты компаний-партнеров. * ДМС с первого дня и льготное страхование для близких. * Корпоративная пенсионная программа. * Обучение за счет компании: онлайн-курсы в онлайн-школе Сбера и неограниченный доступ к библиотеке, обучение в Корпоративном университете, тренинги, митапы и возможность получить новую квалификацию. * Крупнейшее DS&AI Community — более 600 DS-банка, регулярный обмен знаниями, опытом и лучшими практиками, интерактивные лекции и мастер-классы от ведущих ВУЗов и экспертов технологических компаний, дайджест о самых последних разработках в области DS&AI и отчеты с крупнейших конференций мира.