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Location: AZ_Phoenix_Office Who we are… Verra Mobility is a global leader in smart mobility. We develop technology-enabled solutions that help the world move safely and easily. We are fostering the development of safe cities, working with police departments and municipalities to install over 4,000 red-light, speed, and school bus stop arm safety cameras across North America. We are also creating smart roadways, serving the world's largest commercial fleets and rental car companies to manage tolling transactions and violations for over 8.5 million vehicles. And we are a leading provider of connected systems, processing nearly 165 million transactions each year across 50+ individual tolling authorities. Position Overview: Evaluate and process high volumes of customer and citizen requests in accordance with applicable business rules, procedures, and statutes. Develop and maintain a strong understanding of customer-specific business rules and requirements to ensure timely and accurate processing. Ensure work is completed in accordance with established business requirements, procedures, and company standards. Review work for accuracy and completeness and take appropriate action to resolve missing or incorrect information prior to completion. Identify and escalate complex requests, processing issues, or potential SLA risks to the appropriate team member or leadership. Provide exceptional customer service to citizens and clients. Process requests received from internal operational and support teams as required. Meet or exceed established service level agreements (SLAs), quality standards, and performance expectations. Maintain accurate documentation and records related to completed work and correspondence. Qualifications: Qualifications High School Diploma or Equivalent Intermediate computer skills using Microsoft Office (Word, Outlook, SharePoint, and Excel) Data Entry 40 wpm Strong communication, both verbal and written 1+ years of data entry experience required Demonstrated ability to work and problem solve independently as well as recognize when to escalate issues Make sound decisions and accept / act upon constructive feedback Adhere to professional behavioral expectations and the ability to work well with different groups and departments Must be able to communicate effectively in the English language. Bilingual in English and Spanish is a plus. Must be able to operate effectively and reliably in office and/or at home Drug Test, Background Check and Fingerprint are required Capable of sitting or standing for extended periods will be a requirement Capable of reviewing data and/or images on a computer monitor for extended periods (typically 8 hours shif ts) Verra Mobility Values An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values: Own It. We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation. Do What’s Right. We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous. Choose Courage Over Comfort. We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease. Win Together. We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others. With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company. Verra Mobility Applicant Privacy Notice Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. .

Location: United States, Aliso Viejo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Staff Software Engineer (Linux Kernel) Aliso Viejo, CA Role Overview Sony Interactive Entertainment LLC seeks a Staff Software Engineer (Linux Kernel) in Aliso Viejo, CA to develop new Linux kernel drivers and features for servers and embedded hardware. Requirements Master’s degree in Computer Engineering, Computer Science, or related field or equivalent, and two (2) years of experience leading platform-enabling efforts for processors using Linux Kernel; upstreaming code contributions to Linux kernel systems; programming Client Integrated GPUs, Discrete GPUs, and Datacenter GPUs using C/C++, Rust, Python, and source code management tools including Git; developing low-level Linux kernel systems; analyzing technical problems, debugging, and troubleshooting computer systems; developing device drivers and software for servers and embedded systems; developing and utilizing hardware and software architectures for AI and machine learning systems; performing advanced debugging techniques including tracing using performance tools including EBPF; connecting high speed components by employing PCI Express standards and advanced PCIE protocol analyzer and oscilloscopes tools; and in the execution of duties, utilizing C, C++ and Linux Kernel. Telecommuting and/or working from home may be permissible pursuant to company policies. Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $242,349.00 – $297,400.00/year Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Mapbox Poland Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  WHAT WE DO Our Support Team is composed of a diverse group of professionals such as developers, designers, and data specialists. Our team’s experience allows us to be knowledgeable about every aspect of the Mapbox stack, enabling us to provide exceptional support to our customers. We publish comprehensive documentation and provide direct email support to ensure that our users have the resources they need to succeed. Moreover, we are committed to identifying cross-team root issues, advocating for targeted improvements to our products and documentation, and helping our customers grow with Mapbox.   WHAT YOU'LL DO - Break down complex customer questions into manageable pieces and find solutions in the Mapbox stack. Communicate those solutions through concise and friendly responses - Provide excellent customer service, manage incoming customer issues, and collaborate with internal teams to ensure customer needs are met or exceeded - Analyze user feedback and translate it into actionable next steps for our service teams and product engineers - Take on proactive projects to address customer trends and advocate their needs in cross-team communication and projects lead - Regularly analyze ticket data to identify patterns and trends, lead cross-team communication and common tasks to improve customer experience - Independently lead initiatives aimed at improving customer experience and reducing the volume of support tickets - Develop and implement standards and best practices into existing processes - Participate in on-call rotation with the support team to ensure 24/7 availability for our customers - Use excellent written and oral communication skills to clearly articulate solutions to customers and service teams WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - 2-4 years experience - Excellent written communication skills to clearly articulate technical solutions to customers - Exemplary written and oral communication (B1+) and writing skills in English - Broad range of complex technical and analytics skills and tools to reach customer needs (e.g., API’s, Debugging Tools etc.) - Create examples that demonstrate the best technical solution to customers - Strong debugging skills to troubleshoot and solve customer issues - Ability to prioritize and escalate issues appropriately and effectively - Customer engagement skills to provide friendly and effective support - Familiarity with GitHub, Slack, and Jira Preferred Qualifications - Knowledge of Support ticketing solutions such as Zendesk and Jira Experience working with engineering and product teams - Familiarity with geospatial tools and data such as (GeoJSON, Kepler.gl http://kepler.gl, OSM etc.) - Experience in cross team collaboration and organized activities (work with engineers) - Experience with Mapbox services and their toolchains possibilities - Be able to work both independently and with the team, solving increasingly complex problems   WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply. HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. Our annual compensation for this role ranges from $30,400 - $45,600 (salaries are in USD). Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role). By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An Overview of this Role As Senior Manager, Data Science, you'll lead Product Data Science: a team of 6 Data Scientists within GitLab's data organization, reporting to the Director of Data Science. You have two mandates: Drive product impact now. Set the analytical agenda for your product areas and make sure the team's work changes decisions. Build the merged Data Science function. Define excellence for a Data Scientist who blends analytics and data science, and grow the team to that bar. You lead mainly through others, and step in hands-on when it matters: reviewing a model, pressure-testing an analysis, or writing the query yourself. What you’ll do Set a long-range vision and roadmap for Product Data Science, and show the team how its goals connect to company strategy Own prioritization and trade-offs across product areas, and adapt the team as priorities shift Be the go-to partner for Product and Engineering leaders on complex and urgent questions, choosing the right approach: a deep dive, an experiment, or a production model Raise risks and resource gaps early, and bring senior leaders clear options to drive timely decisions Hire, coach, and retain a high-performing team: build career paths, act on team feedback, and make tough talent decisions when needed Build a high-trust culture of urgency and accountability, where the team communicates openly, shares progress on a predictable cadence, and delivers quality results on time Set standards for experimentation, causal inference, metric definition, and production modeling What you’ll bring 10+ years in data science, product analytics, or a related field, including 3+ years managing data science or analytics teams in B2B SaaS or tech Strong product sense and a track record as a trusted partner to Product and Engineering leaders Exceptional communicator who makes complex problems and findings clear to any audience, from Product leaders to executives, and coaches others to do the same Thrives in ambiguity: structures undefined problems, gathers the right information, and makes sound decisions on high-risk, cross-team issues Courage to challenge: offers dissenting views, asks tough questions, and fosters inclusive debate Deep expertise in statistics and experimentation, including hands-on use of quasi-experimental methods (difference-in-differences, synthetic control, propensity score matching) Expert SQL (Snowflake preferred) and strong Python, with experience taking ML models to production Fluent with AI tools, with sound judgment on when AI output can be trusted Able to use GitLab, thrive in an all-remote, asynchronous company, model GitLab's remote working competencies, and work in line with GitLab's values Nice to Have Experience with developer tools, DevSecOps, or product-led growth products Experience measuring adoption and quality of AI-powered product features Thought leadership in data science or analytics, internally and externally Advanced degree in a quantitative field About the Team Product Data Science brings Data Science and Analytics together into one function. Our Data Scientists are business partners first, pairing strong product judgment with deep skill in SQL, Python, statistics, and machine learning. We help Product and Engineering decide what to build, measure what worked, and understand how customers get value from GitLab. The opportunity is growing fast. AI is driving growth in GitLab's consumption business, creating new ways for data to drive growth. As AI takes over routine reporting, the team focuses on the hard problems: experimentation, causal inference, production models, and recommendations leaders act on. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $152,800 — $259,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Задачи: — Анализировать эффективность performance-маркетинга, выявлять точки роста, оптимизировать рекламные бюджеты, внедрять и масштабировать умную атрибуцию. — Проектировать, запускать и оценивать результаты A/B-тестов для проверки маркетинговых гипотез. — Плотно взаимодействовать с командой маркетинга и аналитиками для настройки корректной разметки и сквозной воронки, а также выступать заказчиком для дата-инженеров при постановке задач на доработку хранилища данных и ETL-пайплайнов. Требования: — Опыт работы в маркетинговой или продуктовой аналитике не менее 3 лет. — Глубокое понимание маркетинговых метрик и юнит-экономики, включая ROMI, ROAS, CAC, LTV, CPO, ДРР, Retention Rate, Churn Rate и конверсии на всех этапах пользовательского пути. — Умение анализировать показатели, выявлять взаимосвязи, искать аномалии и делать бизнес-выводы. — Уверенное владение SQL (сложные запросы, оконные функции, оптимизация). — Хорошее владение Python (Pandas, NumPy, SciPy) для аналитических задач и статистической оценки экспериментов — преимущество. — Опыт работы с системами веб и мобильной аналитики (Яндекс.Метрика, AppMetrica), понимание мобильного трекинга и логики диплинков. — Способность аргументированно защищать выводы и проактивно искать инсайты. — Опыт работы с AppsFlyer будет плюсом. — Понимание устройства пайплайнов данных, базовые знания Airflow (умение читать чужой код и логи). Условия: — Офис у ст. м. Шелепиха с гибридным или удалённым форматом работы. — Официальное оформление по ТК РФ. — Расширенный социальный пакет (ДМС и стоматология). — Перспективы профессионального и карьерного роста. — Скидки в сетях Inventive Retail Group и компаниях-партнёрах, участие в конкурсах с призами.

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity Lead infrastructure architecture and core platform development for the AI Native era, covering CI/CD, AIOps, observability, and monorepo engineering. Build platforms that support multiple programming languages across host-based and containerized environments. Use platform engineering, intelligent tooling, and automated quality controls to enable developers and AI agents to work together, improving developer productivity, software quality, and production reliability. What You’ll Be Doing Infrastructure Architecture and Evolution: Define platform architecture, technical standards, and roadmaps, balancing scalability, reliability, security, and cost. Lead critical component design, hands-on development, and implementation across teams. AI Native Engineering Capabilities: Connect code, documentation, dependencies, test results, and runtime data into usable engineering context. Expose capabilities through APIs, CLIs, and SDKs for developers and agents to understand and review code, run tests, and resolve issues. Establish task evaluations, output validation, and execution permissions. Infrastructure for Multiple Languages: Build extensible toolchains, dependency management, testing, and delivery capabilities for ecosystems such as Go, Java, Python, C++, and Rust. Use standard protocols and SDKs to support communication across languages, interface compatibility, and consistent telemetry, reducing platform integration effort. Monorepo and Build Systems: Define repository structure, module boundaries, dependency policies, and code ownership to support changes across modules and independent service releases. Apply practices from systems such as Bazel and Buck2 to deliver incremental and reproducible builds, affected-test selection, remote caching, and remote execution. CI/CD and Quality Engineering: Build shared platforms for builds, tests, artifacts, and releases across hosts and containers. Improve configuration governance, automated quality gates, progressive delivery, health verification, and rollback to shorten delivery cycles and reduce change risk. Observability and Reliability: Unify metrics, logs, traces, and profiling, linking telemetry to code, configuration, dependencies, and deployments. Establish SLIs, SLOs, error budgets, and alerting practices, and feed production findings back into engineering quality improvements. AIOps and Automated Remediation: Combine telemetry, topology, change history, and operational knowledge to enable anomaly detection, incident investigation, root cause analysis, and controlled remediation. Use incident replay, evaluation, and feedback to reduce recovery time and repetitive operational work. What We Look For In You Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. At least 8 years of infrastructure or platform engineering experience, including 3 years in architecture or technical leadership. Deep expertise in at least one of CI/CD, build systems, observability, or AIOps, with experience designing, implementing, and operating large production systems. Strong knowledge of Linux, networking, distributed systems, and troubleshooting. Experience with deployment, configuration management, resource isolation, and production diagnostics in host-based and Kubernetes environments. Experience building infrastructure for multiple languages, with an understanding of toolchain, dependency, and runtime differences. Ability to design shared platform interfaces and extensible language integrations. Familiarity with open-source infrastructure practices originating at Google or Meta, such as build and dependency management with Bazel or Buck2, or cross-language communication and interface contracts with gRPC and Protocol Buffers. Experience evaluating, integrating, or optimizing relevant technologies. Experience with automated testing, quality gates, and release engineering, using observability and reliability measures to improve delivery workflows. Practical experience applying LLMs or agents to engineering workflows, including context construction, tool use, task orchestration, evaluation, and safe execution. Proficiency in at least one of Go, Python, Java, C++, or Rust, with strong hands-on coding and debugging skills. Ability to drive implementation through design reviews, technical guidance, and collaboration across teams. Nice to Haves Experience at Google, Meta, or other leading technology companies, and a background in infrastructure, developer productivity, or AI Native engineering platforms, are preferred. Leading large monorepos, build platforms supporting multiple languages, remote execution platforms, or enterprise developer productivity platforms. Building AI-powered code review, test generation, incident diagnosis, or automated remediation systems and validating them in production. Operating large environments spanning hosts and containers, improving software supply chain security, or contributing to relevant open-source projects. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: United States Senior Engineering Manager, Data & AI Lead the engineering team behind Foundry, Insights, Intel, and Voice: the agents, analytics, and data intelligence of the modern freight platform. About the Role Remote, United States. Some travel is required for team onsites, customer visits, and industry events. Relocation assistance is not provided. The Senior Engineering Manager, Data & AI leads the engineering group behind Foundry, Insights, Intel, and Voice. You'll own the group's technical strategy, delivery, and quality, hire and develop its engineers, and stay hands-on by prototyping, writing evals, reading traces, and reviewing architecture in depth. The team is about eight engineers today and growing. It also owns the shared foundation those products run on: a context graph that connects loads, trips, carriers, drivers, customers, documents, and conversations; event-sourced platform data streaming into the warehouse; and the evals, tracing, guardrails, and model routing every agent depends on. Alvys facilitates more than $1 billion in funds every month across invoices, carrier payments, and driver settlements. Behind that volume is one of the richest operational datasets in freight. This team turns it into agents that do real work and intelligence customers can't get anywhere else. Engineering leaders at Alvys are builders. Expect to spend about a third of your time building. You'll set the standard for how an AI-first team works: coding agents in the daily workflow, evals before scale, and production evidence over demos. The platform runs on .NET (C#, and increasingly F#), TypeScript, and Python on Azure and AKS, with Cosmos DB, Postgres, Elasticsearch, Snowflake, dbt, and Fivetran underneath. We're looking for someone who treats AI as a first-class material, both in what we build for customers and in how the engineering team works. Industry Insight Freight runs on phone calls, emails, PDFs, and tribal knowledge. The U.S. trucking industry is worth approximately $1 trillion today and is projected to grow by roughly 60% to nearly $1.5 trillion over the next decade. Yet the work that moves that freight is still largely manual. Nearly 580,000 active U.S. motor carriers operate in a highly fragmented market; 91.5% run 10 or fewer trucks, and 99.3% run 100 or fewer. Few of these businesses will ever build a data team of their own. Every check call answered, rate confirmation read, and exception caught by software is time back for a small team running on thin margins. Freight data is also structurally messy. A single load spans brokers, carriers, drivers, shippers, and documents, each with its own identifiers, and the truth lives across EDI messages, phone calls, and free text. Generic AI tooling doesn't model any of this. That's why we're building a context graph grounded in how freight actually moves. Agents can now answer the phone, read documents, query operational data, and take actions inside a TMS. In freight, those actions move trucks and money. They must be correct, auditable, and safe. About Alvys Alvys is building the operating system for modern freight. Our AI-powered, cloud-native platform brings dispatch, driver mobile, safety and compliance, billing and settlements, native EDI, reporting, integrations, and automation into one product. We were founded in 2020 by freight industry insiders who were tired of software built by people who had never moved a load. That combination of deep customer empathy and ambitious technology still defines us. We visit customers, learn how the work actually happens, prototype quickly, debate ideas openly, and turn the best ones into products people rely on. More than 3,000 trucking and brokerage companies use Alvys today, including larger fleets with increasingly sophisticated operations. We've raised $77M to date, including a $40M Series B. That gives us real momentum and room to make bold bets, while remaining early enough that a great engineering leader can materially shape the product, team, and company. We are building more than a modern interface for a traditional TMS. Foundry, our agent platform within Alvys, helps freight teams make decisions and complete work, and this team builds it. You'll work with curious, direct, low-ego people who solve hard problems, move quickly from prototype to production, and measure customer impact. Our Principles AI makes building cheap. It does not make judgment cheap. The constraint has moved from writing code to deciding what to build and proving it is right. Agents belong in the middle of the pipeline. People remain accountable at both ends. These principles turn that into how we work every day. Own the outcome You own what you ship. "AI wrote it" is not an answer. Judgment stays human. People decide what matters and whether the result is correct. Verify independently Generation and verification are separate. Tests, review, and approval run independently of the agent that did the work. Autonomy is earned per workflow. Agents advance only on measured precision against human-verified outcomes. No number, no promotion. Design for control AI-first means security-first. Customer data stays on approved infrastructure under managed identity. Cost is an engineering constraint. Every shared workflow has termination conditions and bounded fan-out. Build durable systems Knowledge is tool-agnostic. Reviewed intent lives once; vendor-specific machinery is generated from it. Multiple vendors are a design assumption. Durable workflows don't couple to one model or harness. Twice is a pattern. Automate repeated work and share it within 48 hours. The Data & AI Portfolio The Data & AI portfolio covers Foundry, our embedded automation and agent platform, including a unified agent chat that answers questions and takes actions; Insights, conversational analytics grounded in each customer's own operating data; Intel, proprietary data intelligence drawn from third-party, licensed, and proprietary data sources; and Voice, AI voice and chat agents for load status, driver check calls, and the follow-ups in between. It also includes the shared foundation: the context graph, the data platform that feeds it, and the evals, tracing, guardrails, and model routing behind every agent. Why This Role Few engineering leadership roles combine frontier AI work, a proprietary dataset, and an industry this underserved. This one does. You build at the frontier, in production. Context graphs, self-learning agents, voice agents, and agentic automation are still being figured out across the industry. Here you ship them to real customers, on live freight operations, not benchmarks. You work with data no one else has. More than 3,000 trucking and brokerage companies run on Alvys, and more than $1 billion in funds moves through the platform every month. Combined with third-party and licensed sources, that data is the raw material for intelligence no single fleet or brokerage could build alone. Your work changes how an industry operates. With 91.5% of carriers running 10 or fewer trucks, most of our customers will never hire a data team. The agents you build give a small business the leverage of a much larger one. You own a portfolio, not a feature. Four products share one platform. You set its architecture, choose its models and vendors, and decide where the team invests as it grows. You shape the team from the start. The group is about eight engineers today. You'll hire the next wave and set the standard for how an AI-first engineering team works at Alvys. You stay close to the decisions. You report to the Head of Engineering, work directly with customers and our Forward Deployed Engineering team, and have a direct line into company planning, backed by a $40M Series B. What You'll Be Responsible For Leading and Growing the Team Manage, coach, and develop a team of about eight engineers, including senior engineers and tech leads, and grow it as the portfolio expands. Hire senior and staff engineers, and keep the quality bar high as the team scales. Run the team AI-first, with coding agents in the daily workflow and clear standards for how AI-written code is reviewed, tested, and shipped. Owning Technical Strategy Set technical direction for agents, data, and the context graph, and make the build, buy, and model calls with cost, quality, and speed in view. Make tradeoffs across four products that share one platform, including what gets built, what gets cut, and where the team invests. Building Agents That Learn Own the agent development lifecycle from prototype to production to continuous improvement. Build self-learning loops so agents improve from outcomes, user corrections, and transcripts, and make that improvement measurable. Make evals a release gate. No agent ships without tests for quality, safety, latency, and cost. Data and the Context Graph Own the context graph that links loads, trips, carriers, drivers, customers, documents, and conversations, and the entity resolution that keeps it trustworthy. Partner on the data platform that feeds it, including event streams, CDC into Snowflake, data quality, and lineage, so agents and analytics share one source of truth. Capture decision traces (the inputs gathered, the rule applied, any exception, who approved it, and why) so precedent becomes searchable for agents and people, while rules stay explicit. Combine third-party, licensed, and proprietary data sources into intelligence customers can act on, with the provenance, licensing terms, and tenant boundaries of each source respected. Safety, Isolation, and Reliability Design agents that change data with scoped permissions, human approvals, and audit trails, and defend against prompt injection and tool misuse. Enforce tenant isolation and least privilege across every agent, tool, and data path. Own reliability and unit economics. Track cost per task, per call, and per tenant, and keep margins healthy as usage grows. Staying Hands-On Spend about a third of your time building: prototype, write evals, read traces, and debug production. Review your team's designs and code with real depth, and stay current on models and tools, separating what works in production from what demos well. Cross-Functional Partnership Work as a peer to product and design leadership on direction, architecture, sequencing, and delivery. Work directly with customers and our Forward Deployed Engineering team, and turn repeated patterns into platform features. The AI Fluency We Expect We measure AI fluency by how you verify, not by how much you use AI. More autonomy is not always better. You match the level of autonomy to the risk of the work, and you hold yourself and the team to the same five competencies. Delegation: You decide whether to use AI at all, which task to hand off, and how much autonomy it gets. Description: You state goals, requirements, and limits clearly, from a single prompt up to project instructions, specs, and policy. Discernment: You check output against evidence: diffs, acceptance checks, evals, and production monitoring. Diligence: You own the effects, including data access, permissions, memory isolation, budgets, and kill switches. Systems: You know how models, context, tools, harnesses, and memory work, and where each one fails. How You Work With Agents Design multi-agent systems on paper before you build them. For each step, choose a rule, a small model, a frontier model, or a person, and measure cost per outcome, not cost per token. Start from code-orchestrated workflows and add model-led autonomy only where the task needs exploration. Keep agent-to-agent handoffs few, and give each agent a contract: inputs, allowed tools, and output schema. Put limits in code, not in prompts: hooks, sandboxed worktrees, and a stop condition, retry cap, and budget on every loop. Separate the agent that writes from the agent that checks, and give the checker fresh context. Work in an explore, plan, execute, verify, and compound rhythm, where every correction becomes a rule, skill, hook, or test. Move fluently across Claude Code, Codex, and Cursor, and choose an editor-first or agent-first surface based on who should hold the controls for the next step. Where You Take the Team Bring every engineer to running goal-based loops, where specs and checks are written first, never weakened to pass, and run by the agent itself. Move the team from steering every turn to designing the system that steers the agent: its context, its harness, and its loop. Build toward agents that run continuously in hosted sandboxes, each with its own least-privilege identity, a named owner, a budget, and a tested kill switch, with risk-scaled human review on financial actions, auth, settlements, and customer data. Close the improvement loop. Capture traces, run error analysis on real failures every week, encode the fixes, and gate every change to rules, memory, or evals behind evals and a human approver. Self-improving never means self-approving. Minimum Qualifications 8+ years building software, including 3+ years managing engineers. You've grown senior engineers and tech leads and remain a hands-on builder who can prototype, debug production, and review code credibly. Production LLM systems. You've shipped LLM-powered products to real users, not demos, and can explain what broke, what you measured, and what you changed. Agentic engineering in your own work. You build with coding agents every day and can show the multi-agent workflows, contracts, hooks, and loops you put into production, and the checks that kept them honest. Depth in agent systems. You've built with tool use, function calling, MCP, orchestration, memory, and retrieval, and you understand where agents fail. Evaluation discipline. You've built eval systems that combine offline suites, online metrics, human review, and transcript analysis, and used them to gate releases. Strong data engineering judgment. You've worked with event streams, CDC, cloud warehouses, dbt, and data quality, and you know how the shape of the data limits what models can do. Distributed systems in production. You've designed and operated production services with real reliability requirements. Multi-tenant security. You've secured multi-tenant SaaS and isolated customer data, and you treat agent permissions as a security boundary. Language fluency. You write Python or TypeScript fluently and are comfortable reading C#, F#, and .NET. Experience with F# or another functional language is a plus. Startup-stage fit. You've operated at Series B/C velocity amid ambiguity, thin support, competing priorities, and a bias toward shipping and learning. Clear technical communication. You can explain a tradeoff to an engineer, a customer, and an executive. Preferred Qualifications Knowledge graphs, context graphs, entity resolution, or GraphRAG in production. Real-time voice agents, including telephony, speech-to-text, text-to-speech, turn-taking, and latency budgets. Fine-tuning, reinforcement learning from feedback, or prompt optimization against eval sets. Embedded automation or workflow platforms such as Activepieces, n8n, or Temporal. SRE experience, or a record of running systems other teams depend on. Logistics or freight experience, or another vertical where data is deeply entangled with operations. Founder or early-stage engineering leadership experience. A history of hiring, growing, and retaining excellent engineers. Built by people who've moved freight. Come build the intelligence layer with us. Learn more at alvys.com

Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity Lead infrastructure architecture and core platform development for the AI Native era, covering CI/CD, AIOps, observability, and monorepo engineering. Build platforms that support multiple programming languages across host-based and containerized environments. Use platform engineering, intelligent tooling, and automated quality controls to enable developers and AI agents to work together, improving developer productivity, software quality, and production reliability. What You’ll Be Doing Infrastructure Architecture and Evolution: Define platform architecture, technical standards, and roadmaps, balancing scalability, reliability, security, and cost. Lead critical component design, hands-on development, and implementation across teams. AI Native Engineering Capabilities: Connect code, documentation, dependencies, test results, and runtime data into usable engineering context. Expose capabilities through APIs, CLIs, and SDKs for developers and agents to understand and review code, run tests, and resolve issues. Establish task evaluations, output validation, and execution permissions. Infrastructure for Multiple Languages: Build extensible toolchains, dependency management, testing, and delivery capabilities for ecosystems such as Go, Java, Python, C++, and Rust. Use standard protocols and SDKs to support communication across languages, interface compatibility, and consistent telemetry, reducing platform integration effort. Monorepo and Build Systems: Define repository structure, module boundaries, dependency policies, and code ownership to support changes across modules and independent service releases. Apply practices from systems such as Bazel and Buck2 to deliver incremental and reproducible builds, affected-test selection, remote caching, and remote execution. CI/CD and Quality Engineering: Build shared platforms for builds, tests, artifacts, and releases across hosts and containers. Improve configuration governance, automated quality gates, progressive delivery, health verification, and rollback to shorten delivery cycles and reduce change risk. Observability and Reliability: Unify metrics, logs, traces, and profiling, linking telemetry to code, configuration, dependencies, and deployments. Establish SLIs, SLOs, error budgets, and alerting practices, and feed production findings back into engineering quality improvements. AIOps and Automated Remediation: Combine telemetry, topology, change history, and operational knowledge to enable anomaly detection, incident investigation, root cause analysis, and controlled remediation. Use incident replay, evaluation, and feedback to reduce recovery time and repetitive operational work. What We Look For In You Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. At least 8 years of infrastructure or platform engineering experience, including 3 years in architecture or technical leadership. Deep expertise in at least one of CI/CD, build systems, observability, or AIOps, with experience designing, implementing, and operating large production systems. Strong knowledge of Linux, networking, distributed systems, and troubleshooting. Experience with deployment, configuration management, resource isolation, and production diagnostics in host-based and Kubernetes environments. Experience building infrastructure for multiple languages, with an understanding of toolchain, dependency, and runtime differences. Ability to design shared platform interfaces and extensible language integrations. Familiarity with open-source infrastructure practices originating at Google or Meta, such as build and dependency management with Bazel or Buck2, or cross-language communication and interface contracts with gRPC and Protocol Buffers. Experience evaluating, integrating, or optimizing relevant technologies. Experience with automated testing, quality gates, and release engineering, using observability and reliability measures to improve delivery workflows. Practical experience applying LLMs or agents to engineering workflows, including context construction, tool use, task orchestration, evaluation, and safe execution. Proficiency in at least one of Go, Python, Java, C++, or Rust, with strong hands-on coding and debugging skills. Ability to drive implementation through design reviews, technical guidance, and collaboration across teams. Nice to Haves Experience at Google, Meta, or other leading technology companies, and a background in infrastructure, developer productivity, or AI Native engineering platforms, are preferred. Leading large monorepos, build platforms supporting multiple languages, remote execution platforms, or enterprise developer productivity platforms. Building AI-powered code review, test generation, incident diagnosis, or automated remediation systems and validating them in production. Operating large environments spanning hosts and containers, improving software supply chain security, or contributing to relevant open-source projects. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

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 As the Content Strategy Lead for Executive Programs, you will own what Anthropic brings to the table when we sit down with senior leaders from our most strategic customers. That covers Executive Briefings, Customer Advisory Boards, Executive Councils, and the other small-room gatherings where a C-level audience meets with our leaders, product teams, and researchers. You will set the content strategy across these programs, build the library of modules and the bench of speakers, and lead the team that keeps our content fresh as our models and products evolve. This role works cross-functionally with Product & Solutions Marketing, who owns positioning and messaging across industries and products, and customer programs which owns each program's operations, intake, and customer experience. You own the layer in between: turning Anthropic's product, research, and policy story into sessions built for an executive audience, deciding who is best placed to deliver them, and designing interactive formats and demos that work for customers building on the frontier. The right candidate has a product marketing or narrative background, has built content for C-level customer audiences at an enterprise technology company, and has managed a team. Key responsibilities Set and execute the content strategy across Executive Briefings, Customer Advisory Boards, Executive Councils, and other gatherings of strategic customers: the themes for the year, the narrative that connects them, and how content differs by program, audience, and purpose. Build and maintain an evergreen library of content modules that program leads and account teams can assemble into an agenda without starting from scratch. Modules span product and roadmap, research, safety and policy, industry and use-case sessions, demos, and discussion guides. Keep the library current. Set a refresh cadence tied to model and product launches, retire what is stale, maintain a pipeline of net-new content modules, and make sure nothing in front of a customer executive is out of date. Identify, recruit, develop and certify speakers from Anthropic's executive, product, research, and go-to-market teams. Maintain the cross-program roster, shape each speaker's session, and prepare them for the room. Design the experience, not only the presentation. Choose the format that fits the audience and the goal, whether that is a working session, a live demo, a conversation with a researcher, or a peer discussion among customers. Partner with program leads on agendas for the highest-priority engagements, tailoring modules to the customer's objectives. Set the standards and templates that let every other engagement meet the same bar. Work with Product & Solutions Marketing, Product, and Research so that executive-level content is ready when a launch happens, not weeks after. Capture what customers say in these rooms, including themes, objections, and requests. Route it to Product, Research, Marketing, and go-to-market leadership, and use it to improve the content. Measure what works, including session feedback, module usage, and speaker performance, and work with program leads to connect content to program outcomes. Hire, manage, and develop the team responsible for executive program content, and set its quality bar. Use Claude to scale the work: build workflows that tailor modules to a customer's industry and priorities so a customized session does not require a rebuild. Minimum qualifications Built content for C-level customer audiences in executive briefings, advisory boards, executive councils, or similar programs. Built a content system that other people rely on, such as a module library, a session catalog, or a speaker program, and kept it current through frequent product change. The technical fluency to work directly with researchers and engineers, understand what they have built, and explain it accurately to a business executive. Experience coaching senior executives and technical experts as speakers, including giving direct feedback on their material. Judgment about format: you know when a room needs a presentation, a demo, or a facilitated discussion, and you can design each one. Experience managing people, including hiring and developing a team. A high bar for writing. You can draft an executive session narrative yourself and improve one written by someone else. Genuine interest in AI and in helping the world's largest enterprises adopt it responsibly. Preferred qualifications 12+ years in product marketing, executive content, or executive customer programs at a B2B technology company. You have owned positioning and messaging for a technical product and know how to adapt it for different audiences. Experience at a company where the product changes quickly and content has a short shelf life. Hands-on experience using AI tools to produce or tailor content. Experience facilitating executive discussions, not only preparing others to lead them. Worked with customers in regulated industries such as financial services, healthcare, or the public sector. 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 — $400,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote (US) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. About the team As a Product Designer on Growth, you’ll turn ambitious ideas into meaningful experiences that move the business forward. More than 4 million Canadians trust Wealthsimple with their money. Your job is to grow that number by designing the experiences that turn clients into our biggest advocates. You’ll partner with Product, Engineering and Marketing to rethink our referral strategy, support our highest visibility campaigns, and lead 0 to 1 social features from the ground up. You'll help define and lead our entire growth domain, rethink how people discover and share Wealthsimple, and create experiences that make our products more valuable as our community grows. It’s an opportunity to shape a brand new product area, move fast, and turn great ideas into measurable impact. What you’ll do - Build the loops that fuel growth. Design experiences that turn discovery into acquisition, engagement into advocacy, and happy clients into our strongest growth channel, driving new clients and net deposits. - Help define Social at Wealthsimple. Explore and shape new ways for people to connect with their financial lives, from profiles and discovery to creators and sharing investing activity. - Reinvent referrals. Rethink how people invite others to Wealthsimple, including seamless, real-world experiences like QR-based invites. - Make big ideas tangible. Shape high-visibility campaigns like Monthly Millionaire and Match, creating experiences that reach millions of Canadians and give people a reason to engage. - Experiment your way to impact. Prototype, launch, measure, learn, and iterate. Know when to double down, when to pivot, and when to move on. - Own the experience end-to-end. Move fluidly from discovery and strategy to interaction design, polished visuals, and thoughtful micro-interactions. - Shape what we build next. Partner closely with Product and Engineering to turn ambiguous problems into clear opportunities, influence roadmaps, and bring ambitious ideas to life. Skills you bring - Growth design experience. You’ve designed consumer experiences across acquisition, activation, engagement, or retention, and can point to the impact your work made. - An experimentation mindset. You’re comfortable with A/B testing, funnels, and product metrics. You use data to sharpen your instincts, challenge assumptions, and make better decisions. - A point of view on social. You’re curious about what makes products engaging, shareable, and trustworthy, and understand how social experiences can create sustainable growth. - Exceptional product craft. You bring strong UX and visual design skills, particularly in consumer mobile experiences, and care about the details that make a product feel intuitive and delightful. - A bias for action. You’re comfortable with ambiguity, move quickly without sacrificing quality, and would rather test a thoughtful idea than debate it endlessly. - Strong collaboration skills. You communicate clearly, work naturally with Product, Engineering, and Marketing, and can bring others along with your thinking. - Curiosity about money. You’re interested in how people think about, interact with, and build wealth, and want to make that experience better. Depending on your level - Senior Product Designer: You’ve independently led high-impact growth initiatives from problem definition through launch and iteration, balancing strong craft with measurable outcomes. - Staff Product Designer: You’ve led complex, ambiguous initiatives, established direction for new product areas, and influenced product strategy and roadmaps across teams. Apply with a portfolio that shows: - Growth experiences you’ve designed and the metrics they moved. - How you navigate ambiguity, identify the right problem, and make design decisions. - How you translate a strong product idea into an intuitive and polished experience. - How you use AI. From shipping your own code changes to prototyping and research. WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: London, England, United Kingdom Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. Responsibilities MLRO Deputisation and Governance Act as alternate nominated officer, deciding on SARs and DAML requests when the MLRO is unavailable, under documented delegated authority. Attend the Audit, Risk and Compliance Committee and the Group Financial Crime Committee in the MLRO's absence. Maintain a complete, contemporaneous audit trail of all decisions taken under deputised authority, distinct from decisions taken by the MLRO. Maintain deputisation readiness: current knowledge of the MLRO's live case load, open regulator correspondence and outstanding remediation, so cover can be provided at short notice. Suspicious Activity Reporting and Sanctions Oversee escalations from transaction monitoring and name screening (PEP, sanctions, adverse media), setting investigation quality and disposition standards. Oversee sanctions screening escalations and prepare OFSI reports for MLRO sign off. Financial Crime Framework Maintain the Business Wide Risk Assessment (BWRA), proliferation financing risk assessment, AML, CTF and CPF policies and the customer risk assessment methodology, and propose changes to the MLRO for approval. Escalate material gaps or emerging typologies to the MLRO. Lead root cause analysis on control failures or thematic issues and track remediation actions to closure. Regulatory Reporting and Regulator Engagement Prepare financial crime MI for senior management and governance committees, and draft sections of the annual MLRO Report. Support responses to FCA information requests and assist with skilled person reviews (s.166 FSMA 2000) or supervisory visits as directed by the MLRO. Track the AML control framework against FCA Handbook updates, JMLSG guidance revisions and OFSI and HMT sanctions notices. Team Leadership and Succession Line manage members of the UK Financial Crime team, setting quality standards, coaching and development plans. Act as the escalation point for complex or ambiguous cases referred by Level 1 and Level 2 analysts and more junior members of the UK Financial Crime team. Build the knowledge and judgement needed to step up to SMF1 Requirements Deep working knowledge of UK AML and CTF regulation: MLR 2017, POCA 2002, TA 2000, FCA SYSC 6.3 and JMLSG Guidance. Sound judgement under pressure. Comfortable taking disposition decisions on live SARs without the MLRO present. Strong report writing and Board level communication skills. People leadership experience, or clearly demonstrated readiness to lead a team. Ability to manage regulator facing deliverables to deadline. 5+ years in AML and financial crime compliance within a regulated firm (CFD or brokerage, banking, payments or crypto), or equivalent regulatory exposure, including direct SAR investigation and disposition experience. Prior deputy or MLRO experience is preferred but not required. Experience preparing MI for Boards or Risk Committees. Familiarity with CFDs, spread betting and margin trading behaviours. Awareness of how FCA Consumer Duty intersects with financial crime risk (for example, vulnerable customer considerations in AML decisioning). Nice to Have ICA Diploma or Advanced Certificate in AML, ACAMS or equivalent. Direct exposure to FCA supervisory engagement Existing line management experience. What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. ABOUT THE ROLE We are looking for a curious, hands-on security professional early in their career to join our Detection & Response team as an Incident Response Developer. You’ll report to the Manager of Detection & Response and work closely with senior responders to investigate security incidents, improve our response processes and build automation that helps us scale. You’ll get hands-on experience with real incidents and the mentorship to grow into the craft. The ideal candidate has a foundation in security fundamentals, some hands-on exposure to investigations or security operations, and real enthusiasm for automating repetitive work. You’re a problem-solver who stays calm when things get busy, asks good questions and wants to learn from experienced teammates. WHAT YOU'LL DO - Strengthen our incident response capabilities by building relationships with Engineering teams, writing new playbooks and automating manual steps. - Own investigations from start to finish: triage, evidence collection, analysis, containment and documentation. - Act as Incident Commander for low- and medium-severity incidents, and support senior responders on high-severity ones. - Turn recurring incident types into repeatable workflows (intake, playbook, automation, closure), from the first design through to the tooling behind them. - Report incident trends and metrics that inform team priorities. - Work with our Security Engineers to monitor, refine and expand our SIEM and SOAR platforms. - Work with the HR, Fraud and Privacy teams on investigations into potentially fraudulent and sensitive activity, including insider threats and snooping. - Participate in an on-call rotation for responding to security incidents, internal questions and operational support. - Work with the detection engineering team to develop new, high-fidelity detection rules based on incident trends and threat intelligence. SKILLS YOU BRING - 3+ years of experience in cybersecurity. - 1–2+ years of hands-on incident response experience, owning investigations end to end. - The ability to coordinate responders and stakeholders during an incident, and know when to escalate. - Experience using a SIEM to turn noise into signal, including writing queries and tuning alerts. - Proficiency with AI coding tools (Claude Code, Cursor, ChatGPT, etc.) to build and maintain automation. We invest in tooling (automation, Slack bots, AI agents) so responders spend their energy on the decisions that matter. - A workflow mindset: you can look at a messy, recurring problem and break it into steps that tooling or AI can take on. - Working knowledge of cloud infrastructure (e.g., AWS, GCP or Azure) and how to investigate within it. - Discretion and sound judgment when handling sensitive information, such as HR and insider-threat matters. - Clear, honest and inclusive communication with both internal and external stakeholders. - Good judgment under pressure, in technical problem solving and in working across teams. - A strong desire to learn from the team and others. We value making one another successful! WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. ABOUT THE ROLE We are seeking an experienced and hands-on security professional to join our Detection & Response team as a Senior Incident Response Developer. Reporting to the Manager of Detection & Response, this is a critical, technical role focused on strengthening our ability to respond to and recover from security threats. You will be a key player in investigating complex security incidents, building scalable response processes, and taking command when it matters most. The ideal candidate has a deep, technical background in hands-on incident response and a keen eye for where automation can improve and scale our capabilities. You are a natural problem-solver who remains composed under pressure, a senior team member who enjoys mentoring others in the craft of incident response, and a builder who can create the playbooks, scripts, and processes needed to protect our company and our customers. Between incidents, you'll build the tooling and workflows that make the next one faster and easier to handle. WHAT YOU'LL DO - Help take our security incident response capabilities to the next level by building relationships with Engineering teams, new playbooks and finding opportunities for automation. - Grow others in the art of Incident Response to support the program and increase consistency in outcomes. - Play a key role in building and shaping the Security Incident Response team. - Take the role of Incident Commander to bring incidents to resolution. - Turn recurring incident types into repeatable workflows (intake, playbook, automation, closure) so they become routine work for the team. - Help shape the direction of investment by informing the business of trends and relevant metrics. - Partner with our Security Engineers to monitor, refine, and expand our SIEM and SOAR platforms. - Coordinate with HR, Fraud and Privacy teams to investigate potential fraudulent and sensitive activity including insider threats and snooping. - Participate in an on-call rotation for responding to security incidents, internal questions and operational support. - Partner with the detection engineering function to develop new, high-fidelity detection rules based on incident trends and threat intelligence. SKILLS YOU BRING - 5+ years of experience in the Cybersecurity domain. - 3+ years experience being an Incident Manager, taking ownership of investigations. - Ability to lead a team during high-stress situations, providing direction and support to team members. - Understand how to turn noise into signals using a SIEM. - Proficiency with AI coding (Claude Code, Cursor, ChatGPT etc). We invest in tooling (automation, Slack bots, AI agents) so responders spend their energy on the decisions that matter. - Thinks in workflows: can look at a messy, recurring problem and break it into steps that tooling or AI can take on. - Knowledge of and familiarity with cloud infrastructure. - Believes that honesty, transparency, and inclusivity are important when communicating with both internal and external stakeholders. - Demonstrates good judgment under pressure both in terms of technical problem solving and collaborating cross functionally. - Eager to learn from the team and others. We value making one another successful! WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: United States, San Diego, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Manager, Data Science, Payments & Subscriptions San Diego, CA remote considered* (flex mode) About the Team The Direct to Consumer (D2C) Data Science organization brings together Data Science, Data Engineering, and ML Engineering to support PlayStation’s digital business across commerce, subscriptions, payments, lifecycle experiences, and player-facing services. We partner closely with product, engineering, finance, marketing, and operations teams to turn experimentation, forecasting, modeling, and trustworthy measurement into better decisions and better player experiences. About the Role We are looking for a Data Science Manager to lead a focused team improving how players pay, subscribe, and recover from payment failures. You will own the team’s scientific roadmap, develop data scientists, and partner with product, engineering, finance, marketing, and operations to turn ambiguous business questions into clear recommendations supported by trustworthy evidence. This is a technically engaged first-line management role. You will review experiment designs, metrics, models, analytical code, and recommendations; help the team reason through uncertainty and business tradeoffs; and contribute directly to selected complex problems. Success means building a team that can independently deliver rigorous work, guide decisions, and improve payment and subscription outcomes. The initial portfolio includes payment method performance, payment acceptance, routing and retry strategies, subscription recovery, and measurement of experiments and lifecycle interventions. You will help partners understand incremental value, customer friction, processing and operational costs, and risk guardrails. Over time, the scope may expand across adjacent D2C business areas as team priorities evolve. What you'll be doing: Lead, hire, onboard, and develop a team of data scientists supporting a defined commerce, payments, subscriptions, and lifecycle portfolio. Own the team’s roadmap, intake, prioritization, capacity planning, and stakeholder alignment. Make ownership and tradeoffs clear so the team can deliver on its most important commitments. Partner with business and technical leaders to define the decisions to be made, hypotheses, success metrics, measurement plans, and recommendations for action. Guide experimentation, causal inference, forecasting, and modeling work that improves payment and subscription decisions. Evaluate business value alongside customer experience, costs, and risk guardrails. Review experiment designs, analytical code, data quality, metric definitions, model assumptions, uncertainty, and recommendations. Contribute directly to selected high-priority or technically complex problems. Coach data scientists to strengthen scientific judgment, stakeholder influence, and communication. Build independent ownership through delegation, constructive review, and clear expectations. Set practical standards for reproducible analysis, documentation, reusable workflows, and communication of results. Partner with Data Engineering and ML Engineering to address data and implementation dependencies. Communicate recommendations, expected impact, confidence, limitations, and next actions so partners can make informed decisions and evaluate outcomes. What we're looking for: 6+ years of industry experience in data science, applied statistics, machine learning, or a related quantitative field, including work in experimentation, causal inference, measurement, or model development. 2+ years of people management experience, or equivalent experience in formal technical leadership with a strong track record of mentoring, coaching, and driving outcomes through other data scientists or machine learning practitioners. Strong background in experimentation, causal inference, metric design, and decision science for digital products or consumer businesses. Deep fluency with SQL and Python, with the technical depth to review analytical code, challenge assumptions, guide experiment and model design, and contribute directly to complex analyses. Proven ability to prioritize cross-functional work and communicate clear recommendations, confidence levels, tradeoffs, and next actions. Bachelor's degree or equivalent Preferred Qualifications Experience in digital commerce, payments, subscriptions, billing, lifecycle, gaming, media, or scaled consumer technology businesses. Experience with experimentation platforms, trusted metric frameworks, or reusable data science tooling that improves consistency and decision quality. Experience managing senior individual contributors or helping data scientists expand scope, influence, and technical leadership. Familiarity with payment optimization, subscription lifecycle analytics, subscription recovery, payment method selection, pricing or offer measurement, forecasting, or customer retention modeling. Experience evaluating and improving AI-assisted analytical workflows, including validating outputs and preserving reproducibility and appropriate data handling. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $186,200 — $279,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Remote, Canada GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. As a Commercial Account Executive, Mid-Market, you’ll be the primary point of contact for prospective and existing customers in our mid-market segment, helping organizations modernize how they plan, build, secure, and ship software with GitLab’s AI-powered DevSecOps platform. You’ll own a broad book of business in your territory and serve as a strategic, trusted advisor to your accounts as you prospect, run complex sales cycles, and guide customers on their journey with GitLab to achieve clear business outcomes while supporting adoption and reducing churn. You’ll collaborate closely with Sales Development, Solutions Consultant, Renewals, Partners, and Sales leadership, using value-based selling and structured sales methodologies (such as MEDDPICC) to build a healthy pipeline, run accurate forecasts, and support revenue goals across a wide range of deal sizes. Must be located in Canada. What you’ll do Own and manage a broad Commercial book of business as the primary point of contact in your territory, focusing only on expansion opportunities. Focus on customer accounts with with low to modest current investments in Gitlab in an effort to grow and expand our partnership Articulate the value of GitLab’s AI-powered DevSecOps platform to Commercial prospects and customers, tailoring messaging to their business and technical needs. Build and maintain a healthy pipeline through consistent prospecting, qualification, and advancement of opportunities, using structured methodologies (such as MEDDPICC and Command of the Message) to support your pipeline and revenue goals. Document buying criteria, decision processes, next steps, and key stakeholders to run disciplined, well-orchestrated sales cycles. Collaborate with sales development, customer success, renewals, marketing, technical teams, and partners to deliver a cohesive pre- and post-sales experience, co-sell and close opportunities, and expand GitLab’s footprint while delivering added value for customers. Support customer adoption of GitLab solutions, proactively work to reduce churn and contraction, and participate in quarterly forecasting and territory planning. Contribute to continuous improvement by sharing win/loss insights, updating the sales handbook, and being a clear voice of the customer into the product via our public issue tracker. What you’ll bring Experience selling SaaS solutions by leading value-based conversations with technical and business stakeholders, ideally including development or DevSecOps teams. Ability to manage a broad mid-market territory as the primary point of contact, owning a book of business from prospecting through close, adoption, and expansion. Skill in building and maintaining strong customer relationships, including effective discovery, negotiation, and closing to support long-term customer outcomes. Comfortable driving consistent outbound prospecting activity, creating and maintaining a healthy pipeline, and maintaining accurate territory and forecast documentation. Ability to collaborate closely with cross-functional partners (sales development, customer success, renewals, marketing, partners, and technical teams) to coordinate account strategies. Clear and structured communication skills, including presenting the GitLab value proposition to different audience levels and documenting customer insights and lessons learned. Interest in GitLab, open source, and tools that support software development, with the ability to connect customer business challenges to GitLab’s DevSecOps platform. The ability to travel for events such as trainings, team off sites, customer meetings, etc. About the team The Commercial Account Executive - Mid-Market role focuses on helping mid-market customers adopt and expand their use of our AI powered DevSecOps platform. You’ll be part of a dedicated Canadian team of Account Executives, Sales Development, Solution Consultants, Renewals, and Partners to manage a broad book of business and a wide range of opportunity sizes. Our mission is to guide customers through their journey with GitLab, from first evaluation to long term value realization, by developing new business, strengthening customer relationships, and supporting healthy product adoption. We collaborate closely through shared playbooks, our sales handbook, and GitLab itself to stay aligned on territory plans, pipeline health, and best practices. For more on how we work, see the Commercial Account Executive Handbook . Remote-Global How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: London Office; Berlin Office Workplace: Hybrid About Taktile Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. About the Role As a Senior Business Development Representative at Taktile, you'll drive AI adoption in Financial Services by engaging future customers in their very first interactions with us and identifying new market opportunities. It’s a pivotal role that enables our sales team to focus on high-value, revenue-generating activities and is powered by leveraging your creativity, charm, grit, and strategic thinking. You will: - Own pipeline-generating activities in your territory and outreach to strategic prospects to generate high-intent opportunities with Mid-Market and Enterprise companies - Support the development and execution of strategic outbound initiatives - Lead our attendance at major conferences and host dinners to meet industry leaders across the world - Collaborate with the marketing, growth, and sales teams, and bring in leads applying qualification frameworks such as PACTT. - Be supported by an ever-developing AI toolstack to automate the busywork and focus on using your brain - Conduct initial qualifications for high-potential leads Joining us will be a great decision if you: - You are creative and proactive, always looking for ways to stand out with prospects and to improve the way we do things - You are customer-focused and convincing in live conversations (phone, video, face-to-face) - You are a problem solver and find joy in handling complexity - You are resilient. It can be a tough role, with lots of rejection, but the wins make it worth it! You will make our decision easy if you have: - 2-3+ years of experience in a fast-growing startup, preferably in lead management and project management roles or 2-3+ years of experience in a field like finance & investment banking, consulting or software engineering - Proven ability to meet or exceed activity and pipeline targets. - Familiarity with outbound tools such as HubSpot, Aircall, lemlist or LinkedIn Sales Navigator. - Strong communication, organization, and time management skills. - Ability to work in a fast-paced, dynamic environment - A growth mindset, genuine curiosity about AI and financial services, as well as a willingness to learn. Our Offer - Receive a top-of-market equity and cash compensation package - Get access to a self-development budget that you can use to e.g. attend conferences, buy books or take classes - Join us onsite in our inspiring office spaces in Berlin, NY, or London and travel to quarterly team meetings around the world - Make an impact and meaningfully shape an early-stage company by creating new opportunities - Experience a truly flat hierarchy. Interact with and learn directly from founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo - Get to know and learn from experienced mentors such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath - Use the equipment of your choice including meaningful home office set-up. - Benefit from an onboarding and training path supported by best-in-class coaches to become a true expert in your field Our Stance - Work with colleagues who lift you, challenge you, celebrate you, and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. - We seek to actively recognize and combat racism, sexism, ableism, and ageism. We embrace and support all gender identities and expressions and celebrate love in its many forms. We won't inquire about how you identify, or if you've experienced discrimination, but if you want to tell your story, we are all ears. About us Taktile is building the world's leading software platform for running critical and highly-automated decisions. Our customers use our product to catch fraudsters, prevent money laundering, and expand access to credit for small businesses, among many other use cases. Taktile is already making millions of such decisions across the globe every day. Taktile is based in Berlin, London, and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. We have accumulated extensive work experience at leading tech companies, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile (“we” or “us”) is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates’ data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile’s Applicant Privacy Policy. To exercise your rights or ask questions, contact privacy@taktile.com.

Location: Bogota Are you a curious, proactive Law student eager to gain experience at a m ultinational before graduating? Join Betsson as a Legal Intern and turn your studies into hands-on experience, learning from legal professionals while supporting the business. The Wow Get a behind-the-scenes look at how a Legal team helps a global business move forward. You’ll have the opportunity to ask questions, contribute ideas, and build your confidence as you take your first steps in your legal career. A taster of what you will be involved with: Support the preparation, review, and administration of contracts, agreements, and legal documentation. Maintain accurate and organized legal records, ensuring documentation is easily accessible and up to date. Assist with contract tracking, renewals, and document management processes. Collaborate with internal stakeholders to gather information and documentation required for legal matters. Conduct legal research and summarize findings to support the team on various projects. Help monitor compliance with internal policies and legal requirements. Support the continuous improvement of legal processes, templates, and documentation practices. Provide general administrative and operational support to the Legal team as required. What we are looking for You are currently pursuing a Law degree, ideally in the final years of your studies. You have a strong interest in corporate, commercial, employment, or general business law. You are highly detail-oriented and take pride in producing accurate, high-quality work. You have a process-focused mindset and enjoy working in a structured and organized way. You are proactive, curious, and eager to learn from experienced professionals. You handle confidential information with professionalism and discretion. English language skills are considered an advantage. Intern modality 40 hours per week Nice-to-have Basic knowledge of contract management or legal documentation. Good working knowledge of Microsoft Office tools, particularly Word and Excel. What we offer Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in. Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Location: United States, San Mateo, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Director, Legal - Global Privacy & Data Counsel San Mateo, CA or London, England | Hybrid - 2+ days per week in your designated office Full relocation assistance available for qualified candidates Role Summary: Leading SIE’s Global Legal Privacy program, you will play a pivotal role in shaping and advancing this function, which is central to our mission as a data-driven technology and entertainment company. You will develop, implement, and maintain comprehensive privacy policies, procedures, and practices that reflect industry best practices, comply with applicable data protection laws and regulations, and support SIE’s business objectives. Working collaboratively with teams around the world, you will help embed strong data privacy stewardship across the organization through your leadership, passion, and expertise. What You’ll Be Doing: Lead the Privacy Team: Lead a team of professionals spanning legal, operations and compliance, and data governance. Provide strong leadership to build a well-functioning team. Privacy Program Development: Design, implement, and evolve a robust and forward-thinking privacy program tailored to the specific needs of SIE’s multi-faceted, data-driven business. Provide senior leadership in communicating company's vision, strategy, and objectives for data privacy and data husbandry to stakeholders across SIE. Regulatory Compliance: Stay up to date with evolving global privacy laws and regulations, including GDPR, CCPA, and other regional data protection requirements. Ensure the company's policies and practices remain compliant with the changing legal landscape. Privacy by Design: Advocate privacy-by-design principles and ensure that privacy considerations are integrated into the development of new products, services, and technologies, working closely with product counselors, product managers, business function leaders and SIE’s ESG team. Privacy Policies and Procedures: Create and review privacy policies, notices, consent forms, and related documentation to ensure transparency and compliance with relevant data protection laws. Collaborate with Legal, Compliance, and other teams to disseminate these policies throughout the organization and to customers. Employee Training and Awareness: Conduct privacy training programs for employees and management to promote a privacy-aware culture. Foster awareness of privacy responsibilities and best practices throughout the organization. Vendor Management: Develop and evolve SIE’s processes to assess the privacy practices of vendors and third-party partners to ensure that data processing agreements and contracts comply with privacy and SIE’s Information Security requirements. Privacy Impact Assessments: Oversee the conduct of privacy impact assessments (PIAs) to identify and mitigate privacy risks associated with the company's data processing activities. Incident Response: Develop and maintain an effective incident response plan for privacy breaches. Coordinate with the Incident Response team to manage and mitigate privacy incidents and associated risks. Reporting and Accountability: Provide regular reports on the status of the privacy program to executive leadership and the board of directors. Be a focal point of contact for privacy-related inquiries from regulators and customers. What We’re Looking For: Juris doctor degree; bachelor or advanced degree in computer science, information technology, or a related field. An advanced degree is a plus. 20+ years of legal experience and 10+ years proven experience in a senior privacy leadership role, preferably as a Chief Privacy Officer or Privacy Officer, within a data-driven technology company or relevant industry. In-depth knowledge of global privacy laws and regulations, such as GDPR, CCPA, and other regional frameworks. Broad knowledge of emerging requires in the APAC region a strong plus. Demonstrated ability to design and implement comprehensive privacy programs that align with industry best practices, laws and regulations and data use requirements typical of a company like SIE. Experience in building an incident response process with partnership with the CISO or similar function; experience managing privacy incidents. Experience conducting privacy impact assessments and building processes for such assessments that will easily scale. Excellent communication and interpersonal skills, with the ability to interact effectively with stakeholders at all levels of the organization. Strong leadership qualities, with the ability to influence and drive change in a collaborative environment. Privacy-related certifications such as CIPP, CIPM, CIPT, or other relevant certifications are highly desirable. #LI-SF1 At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $302,400 — $453,600 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.