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Location: San Francisco, CA • New York, NY Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Rendering & Animation team (R&A) builds the graphics engine which renders the canvas for all Figma applications. Our mission is to make rendering performant, feature-rich, reliable, maintainable and extendible across all products & surfaces. The team plays a core, bedrock role for the company because it underpins the technology driving the user experience, touching many other teams, and as such is one of the most impactful areas of Figma. The R&A team is devoted to hiring individuals with graphics expertise. We are interested in a variety of sub-domains, including 2D GPU-driven rendering, computational geometry & vector graphics, animation frameworks, anti-aliasing algorithms, shader effects, and more recently branching into video/image processing. A PhD Intern specializing in any of these areas would be a phenomenal fit for the team with a lot of exciting projects available. As an intern on our team, you'll take ownership of a high-impact project at the intersection of your technical strengths and our most pressing graphics, rendering, or media challenges. You'll work closely with your intern manager, team leads, and collaborators across 1–2 partner teams to deliver tangible results within your internship. This is an opportunity to do significant, portfolio-worthy work that directly supplies Figma's visual platform. This is a 12 or 16-week internship role that can be held from one of our US hubs (San Francisco or New York) starting in May or June of 2027. What you'll do at Figma: Learn from industry graphics engineers and participate as an embedded team member of the Rendering & Animation team Collaborate with engineers, PMs, designers, and researchers to scope and execute your work Develop, validate, and document solutions from prototypes to production-ready systems Drive projects that apply research insights to meaningful product challenges Contribute to exciting domain areas; some examples: crafting and optimizing shaders for sophisticated effects, investigating improvements to anti-aliasing algorithms, improving media processing capabilities, animating spline interpolation, and more! We'd love to hear from you if you have: Current enrollment as a 4th or 5th year senior PhD student pursuing a PhD in Computer Graphics, Media Processing, or a related field Experience working with OpenGL, WebGL, WebGPU, Vulkan or Metal and their respective shader languages (GLSL, WGSL) or other low-level graphics APIs Proficiency in either C++ or Rust A track record of rigorous problem-solving through academic or applied research, with experience thinking holistically about use cases and the low-level technology required While it's not required, it's an added plus if you also have: Demonstrated expertise in computer graphics, supported by publications at conferences such as SIGGRAPH, Eurographics, High Performance Graphics, NVIDIA GTC, or Pacific Graphics Proficiency in WebAssembly, web graphics, 2D graphics, performance optimization, animation, geometry, or media Interest in art and design applications Experience using AI tools (e.g., GitHub Copilot, ChatGPT, Claude) to write, debug, and optimize code Related industry experience via a past internship or full-time role Strong communication and interpersonal skills, with demonstrated experience collaborating across functions At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below.  Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future. Internship $74 — $74 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Europe; United States Workplace: Remote ABOUT CANTINA Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future! ABOUT THE ROLE We’re working on real-time video generation for interactive characters, spanning realistic humans, stylized characters, and non-human identities. We want these characters to feel present: to speak, react, and express themselves through their face, gestures, and body language. This brings together a set of closely connected research problems. A character needs a consistent appearance, expressive and coherent motion, and a natural relationship between speech and movement. The model also needs to respond quickly and keep generating reliably as an interaction unfolds. Quality, controllability, and efficiency all matter. You’ll work across streaming generation, fine-tuning, distillation, inference optimization, and data. Some problems will call for a new training approach; others will come down to better examples, a more useful evaluation, or understanding a bottleneck in the implementation. Part of the job is figuring out which intervention is worth making. You’ll have substantial freedom to propose directions, investigate unfamiliar ideas, and shape what we work on next. We’re looking for someone who enjoys that freedom and can turn it into a steady sequence of useful experiments. WHAT YOU’LL WORK ON - Real-time and streaming generation. Develop models that support responsive interaction while maintaining visual quality and consistency over time. Investigate latency, continuity, and how model behavior changes during longer generation. - Character expression and motion. Explore how appearance, facial expression, gesture, and body movement come together into a coherent character. Improve the relationship between speech and motion across different identities and visual styles. - Fine-tuning and post-training. Adapt video models to new data, behaviors, and capabilities. Investigate training objectives and conditioning methods, and follow promising ideas through implementation and evaluation. - Distillation and inference optimization. Make generation faster and more efficient. Work across model-level approaches and runtime improvements, measuring their effects on quality, latency, and memory. - Data development. Spend meaningful time with the actual training examples. Identify missing coverage and recurring failure modes, improve curation and sampling, and develop data that helps models learn the behavior we want. - Evaluation. Build comparisons that make progress visible and failures understandable. Combine quantitative measurements with careful inspection of generated video and the experience of interacting with the model. - Research and collaboration. Read relevant work, reproduce and adapt useful ideas, and share early experiments, demos, and findings. Help the team decide what deserves more time and compute. WHAT YOU’LL BRING - Experience training or fine-tuning video or related generative models. - Ability to learn unfamiliar methods quickly and turn ideas into useful experiments. - Good experimental judgment, ownership, and clear communication. You’ll have freedom to explore new approaches. We expect fast iteration and early sharing of results. COMPENSATION When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.   Benefits for U.S.-based roles: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: United States, Remote 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. Marketing Technologies Director The Marketing Technologies Director, leads PlayStation's global marketing technology organization across engineering, product management, UX, measurement and experimentation, audience activation, and marketing data. This leader owns the technology vision, architecture, product strategy, and roadmap for platforms used by marketers worldwide to reach hundreds of millions of players. The role is accountable for building secure, scalable, AI-enabled capabilities that improve marketing effectiveness, speed, and customer experience. We are seeking a technology leader with direct software or data engineering experience building marketing technology products and platforms. The successful candidate can lead engineers and technical product teams, make architecture and build-versus-buy decisions, and translate marketing needs into durable systems. Experience limited to administering vendors or managing a marketing technology stack without direct engineering experience does not meet the requirements of this role. Key Responsibilities Technology Engineering and Product Leadership Lead multidisciplinary teams responsible for marketing technology engineering, product management, and UX, with clear goals, operating rhythms, and accountability for delivery. Own end-to-end delivery and operation of global marketing platforms, from discovery and architecture through launch, adoption, reliability, and continuous improvement. Set the architecture for marketing platforms, APIs, data pipelines, audience services, orchestration, and activation integrations. Define the marketing technology product vision and prioritize a multi-year roadmap based on customer value, technical feasibility, business impact, risk, and platform health. Establish engineering standards for security, privacy, reliability, observability, scalability, and the management of technical debt. Lead product discovery and UX research with marketing teams globally, converting user needs into intuitive workflows and measurable product outcomes. Evaluate build, buy, and partner options with technical rigor, and ensure third-party platforms integrate into a coherent, maintainable architecture. Measurement Experimentation and Audience Activation Lead the measurement and experimentation function, including test design, measurement frameworks, platform capabilities, and the use of results in marketing decisions. Lead audience activation and marketing data teams responsible for identity, segmentation, consent-aware audience management, data quality, governance, and activation readiness. Connect audience, measurement, and activation capabilities across marketing channels so teams can plan, execute, learn, and optimize through shared data and platforms. Partner with Data Science and Analytics leaders to embed experimentation, causal measurement, predictive models, and decision support into marketing workflows. Assess and scale AI and automation use cases that improve marketer productivity, decision quality, and customer relevance. Strategy and Transformation Serve as the technical and strategic partner to Media, Creative, Brand Marketing, Product Marketing, Marketing Operations, Data Science, and Business Analytics leaders. Align SIE teams that own or influence the marketing technology stack around a single architecture, product vision, roadmap, and set of investment priorities. Lead high-priority transformation initiatives, managing execution, organizational dependencies, adoption, and measurable business outcomes. Partner with marketing leaders to redesign workflows, processes, decision rights, and operating models around new platform capabilities. Balance global platform standards with appropriate local and product-level flexibility while maintaining security, privacy, and architectural integrity. Define success measures and post-launch KPI tracking for platform performance, adoption, marketing effectiveness, and business impact. Skills and Qualifications Bachelor's degree in software engineering, computer science, data engineering, or a related technical field; equivalent practical experience is acceptable. An advanced degree is preferred. 12+ years of experience across software or data engineering, technical product management, and marketing technology, including leadership of global teams. Direct software or data engineering experience and a record of leading engineering teams that built and operated production marketing technology systems. Demonstrated success building, launching, and operating enterprise SaaS products or internal platforms, beyond implementing or administering third-party tools. Technical depth in cloud architecture, APIs, systems integration, data pipelines, identity and audience systems, security, privacy, reliability, and scalability. Experience leading multidisciplinary organizations spanning engineering, product management, UX, measurement and experimentation, analytics or data science, and audience activation. Strong command of experimentation methods, marketing measurement, analytics, and the use of data to improve product and marketing decisions. Experience with AI-powered products, machine learning platforms, or automation in production environments. Experience owning multi-year technology and product roadmaps and making investment, architecture, and build-versus-buy decisions. Ability to influence senior leaders, communicate technical tradeoffs clearly, and lead transformation across teams and regions. 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. This is a flexible role that can be remote, with varying pay ranges based on geographic location. For example, if you are based out of Seattle, the estimated base pay range for this role is listed below. $207,400 — $311,200 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 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: 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. Marketing Technologies Director The Marketing Technologies Director, leads PlayStation's global marketing technology organization across engineering, product management, UX, measurement and experimentation, audience activation, and marketing data. This leader owns the technology vision, architecture, product strategy, and roadmap for platforms used by marketers worldwide to reach hundreds of millions of players. The role is accountable for building secure, scalable, AI-enabled capabilities that improve marketing effectiveness, speed, and customer experience. We are seeking a technology leader with direct software or data engineering experience building marketing technology products and platforms. The successful candidate can lead engineers and technical product teams, make architecture and build-versus-buy decisions, and translate marketing needs into durable systems. Experience limited to administering vendors or managing a marketing technology stack without direct engineering experience does not meet the requirements of this role. Key Responsibilities Technology Engineering and Product Leadership Lead multidisciplinary teams responsible for marketing technology engineering, product management, and UX, with clear goals, operating rhythms, and accountability for delivery. Own end-to-end delivery and operation of global marketing platforms, from discovery and architecture through launch, adoption, reliability, and continuous improvement. Set the architecture for marketing platforms, APIs, data pipelines, audience services, orchestration, and activation integrations. Define the marketing technology product vision and prioritize a multi-year roadmap based on customer value, technical feasibility, business impact, risk, and platform health. Establish engineering standards for security, privacy, reliability, observability, scalability, and the management of technical debt. Lead product discovery and UX research with marketing teams globally, converting user needs into intuitive workflows and measurable product outcomes. Evaluate build, buy, and partner options with technical rigor, and ensure third-party platforms integrate into a coherent, maintainable architecture. Measurement Experimentation and Audience Activation Lead the measurement and experimentation function, including test design, measurement frameworks, platform capabilities, and the use of results in marketing decisions. Lead audience activation and marketing data teams responsible for identity, segmentation, consent-aware audience management, data quality, governance, and activation readiness. Connect audience, measurement, and activation capabilities across marketing channels so teams can plan, execute, learn, and optimize through shared data and platforms. Partner with Data Science and Analytics leaders to embed experimentation, causal measurement, predictive models, and decision support into marketing workflows. Assess and scale AI and automation use cases that improve marketer productivity, decision quality, and customer relevance. Strategy and Transformation Serve as the technical and strategic partner to Media, Creative, Brand Marketing, Product Marketing, Marketing Operations, Data Science, and Business Analytics leaders. Align SIE teams that own or influence the marketing technology stack around a single architecture, product vision, roadmap, and set of investment priorities. Lead high-priority transformation initiatives, managing execution, organizational dependencies, adoption, and measurable business outcomes. Partner with marketing leaders to redesign workflows, processes, decision rights, and operating models around new platform capabilities. Balance global platform standards with appropriate local and product-level flexibility while maintaining security, privacy, and architectural integrity. Define success measures and post-launch KPI tracking for platform performance, adoption, marketing effectiveness, and business impact. Skills and Qualifications Bachelor's degree in software engineering, computer science, data engineering, or a related technical field; equivalent practical experience is acceptable. An advanced degree is preferred. 12+ years of experience across software or data engineering, technical product management, and marketing technology, including leadership of global teams. Direct software or data engineering experience and a record of leading engineering teams that built and operated production marketing technology systems. Demonstrated success building, launching, and operating enterprise SaaS products or internal platforms, beyond implementing or administering third-party tools. Technical depth in cloud architecture, APIs, systems integration, data pipelines, identity and audience systems, security, privacy, reliability, and scalability. Experience leading multidisciplinary organizations spanning engineering, product management, UX, measurement and experimentation, analytics or data science, and audience activation. Strong command of experimentation methods, marketing measurement, analytics, and the use of data to improve product and marketing decisions. Experience with AI-powered products, machine learning platforms, or automation in production environments. Experience owning multi-year technology and product roadmaps and making investment, architecture, and build-versus-buy decisions. Ability to influence senior leaders, communicate technical tradeoffs clearly, and lead transformation across teams and regions. 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. $226,200 — $339,400 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 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: United Kingdom, London 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. Role Overview: The Director of Finance Systems Engineering is a technology and engineering leader responsible for delivering and evolving systems that enable critical Finance capabilities. Reporting to a Senior Director in IT, this role will lead teams responsible for enterprise planning and forecasting platforms, custom-built Finance solutions, and SaaS applications that complement the core SAP ERP ecosystem. The Director will lead a multidisciplinary team that includes planning model builders, systems analysts/product owners/TPMs, and software engineering professionals. This leader will partner closely with Finance to translate business priorities and transformation objectives into scalable technology solutions that simplify processes, improve decision making, and enable greater use of data, automation, AI, and machine learning. A key responsibility of the role is strengthening the team’s ability to connect Finance domain expertise with specialized data and machine learning capabilities, enabling Finance to translate its AI and ML objectives into scalable solutions. The successful candidate will combine strong engineering and people leadership with Finance domain knowledge and experience across enterprise planning platforms, custom software development, SaaS solutions, integration architectures, data, and AI/ML technologies. What you'll be doing: Finance Systems Leadership & Business Partnership Lead multidisciplinary teams responsible for planning and forecasting platforms, custom Finance solutions, and Finance-related SaaS applications. Partner with Finance leaders to understand business priorities and translate Finance transformation objectives into technology strategies, roadmaps, and solutions. Own the technology portfolio and multi-year roadmap balancing business priorities, technical debt, platform lifecycle, and operational sustainability. Establish engineering and product practices that balance speed, business value, user experience, scalability, reliability, security, and maintainability. Develop strong partnerships with Enterprise Architecture, Data Engineering, ML Engineering, Integration, Infrastructure, Cybersecurity, and other technology teams to deliver cohesive end-to-end solutions. Manage strategic technology vendors and implementation partners to ensure successful delivery, operational excellence, and continuous innovation. Build and develop a high performing organization across model building, systems analysis/product ownership, and software engineering disciplines while fostering a culture of accountability, collaboration, innovation, and continuous learning. Planning, Finance Applications & Software Engineering Provide technology leadership for enterprise-scale financial planning, budgeting, forecasting, and scenario-modeling solutions used across Finance. Lead the engineering, maintenance, and support of custom applications and services that address Finance-specific business requirements. Provide leadership for Finance SaaS applications adjacent to the core SAP ERP ecosystem. Ensure Finance solutions integrate effectively with SAP and the broader enterprise application and data ecosystem while maintaining appropriate architectural standards and controls. AI, ML and Data Enablement Partner with Finance leaders to identify opportunities where data, AI, and machine learning can improve planning, forecasting, financial analysis, automation, and decision making. Assess capability gaps and establish development plans, role expectations, and ways of working that prepare the Finance Systems Engineering organization to collaborate effectively with Data Engineering and ML Engineering teams. Enable teams to translate Finance business problems and domain knowledge into well-defined data, AI, and ML use cases. Partner with specialized technology teams to incorporate enterprise data, predictive models, and AI/ML services into Finance applications and business processes. Define how Finance Systems Engineering will evaluate, adopt, and govern AI and ML capabilities available through enterprise applications, internal data and ML platforms, and approved external services. Help drive adoption and operationalization of AI/ML capabilities within Finance while ensuring alignment with enterprise architecture, data governance, security, privacy, and technology standards What we're looking for: Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience. 10+ years of progressive experience leading enterprise application or software engineering organizations in a large enterprise environment, including accountability for multidisciplinary teams, technology delivery, and operational performance. 5+ years leading through managers, including responsibility for organizational design, talent development, performance management, and succession planning. Demonstrated experience building and leading multidisciplinary teams across software engineering, enterprise applications, planning applications, systems analysis, product ownership, and technical program management Experience leading enterprise scale financial planning, budgeting, forecasting, and scenario-modeling platforms, including responsibility for platform strategy, delivery, lifecycle management, and operational performance. Strong understanding of Finance processes, particularly financial planning, budgeting, forecasting, and related Finance operations. Demonstrated ability to partner with senior business leaders, translate business and transformation objectives into technology strategy and execution, and own multi-year portfolio roadmaps that balance business priorities, technical debt, platform lifecycle, and operational sustainability. Strong understanding of software engineering, enterprise architecture, integration, data, and cloud concepts. Demonstrated ability to develop technical talent and build new capabilities within an engineering organization, including preparing teams to partner effectively with Data Engineering and ML Engineering and to operationalize data, AI, and machine learning capabilities. Strong executive communication, stakeholder management, and cross functional leadership skills. Preferred Qualifications Experience with one or more enterprise-scale planning and forecasting platforms, such as Anaplan, Workday Adaptive Planning, or SAP Analytics Cloud, including solution design, model governance, integration, or platform administration. Experience leading software engineering teams building custom enterprise solutions using Golang, Java or comparable programming languages. Experience with event-driven and streaming architectures and enterprise integration patterns. Experience leading a portfolio of Finance SaaS solutions, such as Coupa, Rightsline, or comparable platforms, including vendor management, integration, lifecycle planning, and operational governance. Experience with SAP S/4HANA and integration of Finance applications and services with the core ERP environment. Experience in jointly delivering production AI or machine learning capabilities with Data Engineering and ML Engineering teams, including integration into enterprise applications or business processes. Understanding of how AI and machine learning can be applied responsibly to Finance use cases, including forecasting, predictive insights, anomaly detection, decision support, and process automation, with attention to data governance, security, privacy, and enterprise technology standards. Experience supporting technology enabled Finance transformation within a large, global organization. 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. 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.

• Отличная академическая успеваемость, желательно в технической области (инженерия, computer science, физика). • Технический опыт работы — стажировки или первая работа на полной ставке.

Location: Warsaw; Barcelona Workplace: hybrid About us: Planner 5D is a global hub for home design, uniting over 100+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month!). Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our cutting-edge software. You don't need to be a professional designer to enhance your home or workspace. We are dedicated to streamlining the design experience, making the customization of dream homes accessible to everyone. Our cross-platform presence spans Web, iOS, Android, Windows, and MacOS, ensuring seamless synchronization for our users.  Planner 5D is more than just software; it's a vibrant community of enthusiastic and product-oriented professionals. From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market. We are constantly looking for like-minded talent eager to take ownership and drive innovation within our expanding suite of tools. Join us in shaping the future of home design. We are searching for an experienced QA automation engineer who will join our team and work on improving quality of our constantly growing product. Responsibilities: Write and maintain automated tests for Web, Android, Windows, iOS, macOS platforms applications Collaborate with the product, development and delivery teams Monitor and report of tests progress utilizing modern tools and methods Proactively share best practices, ideas and knowledge with the team Requirements: 3+ years of experience in test automation (at least 2 years with web and api automation) Programming skills with Java and Kotlin (or willing to learn Kotlin) Proficient in automation tools such as Selenium, Appium, and testing frameworks like JUnit, TestNG Experience with REST, GraphQL, gRPC Hands-on experience with IntelliJ (or other JetBrains IDEs) Experienced with browser developer tools in Chrome, Safari, and Firefox, basic JavaScript knowledge Experience in writing clean, maintainable, and easily readable code Excellent communication and problem-solving skills Attention to detail and a passion for delivering high-quality results Upper-Intermediate English level Knowledge of Russian language As part of the hiring process, you will be asked to complete a test. Please note that you should be prepare working as a Contractor under B2B service agreement. What we offer: - Great work environment that balances freedom and responsibility - Our team is made up of friendly and passionate enthusiasts who are eager to help and share their knowledge - We believe in work-life balance, so you'll receive around 30+ days of paid holidays per year - Company computer equipment by request - Education courses for our team members, and we're willing to allocate funds toward your training expenses - English classes on our corporate platform - Offline company events in Lithuania and online team-building - Unlimited free Planner5D subscriptions

Location: Berlin Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Head of Public Affairs for Germany on the Policy and Government Relations team, you will shape Mistral AI’s presence and influence in Germany, ensuring the company plays a leading role in the future of AI policy and regulation. This role exists to establish Mistral AI as a trusted thought leader in Germany, driving both public interest and business growth by navigating complex regulatory landscapes. You will work closely with policymakers, industry leaders, and internal teams to build a regulatory ecosystem that supports innovation while enabling adoption in the public sector. Your impact will be immediate: from shaping policy strategies to unlocking revenue opportunities, you will help Mistral AI thrive in one of its most critical markets. This role directly reports to our Public Affairs Director for EMEA, and may evolve to a larger DACH and/or Central Europe scope in the future. WHAT YOU WILL DO - Monitor and analyze AI-related policy developments in Germany and the EU, assessing their impact on Mistral AI. - Develop and execute a long-term public affairs strategy, including parliamentary engagement, position papers, and lobbying campaigns. - Engage with policymakers, industry leaders, and key opinion leaders to foster constructive dialogue on AI and technology policy. - Prioritize and respond to policy issues affecting Mistral AI, proposing solutions that align with business and community interests. - Advise cross-functional teams on regulatory changes, ensuring compliance and informing product and business decisions. - Collaborate with Sales to design strategies that accelerate public sector adoption of AI. - Track industry trends and best practices in public affairs, ensuring the team remains ahead of regulatory shifts. - Build and maintain a strong network in Germany to amplify Mistral AI’s influence and reputation. WHAT WE'RE LOOKING FOR - Extensive public affairs experience, with a track record of impacting policy-making, ideally in both public and private sectors. - Deep understanding of German institutions (federal, regional, and local) and the ability to map decision-making power. - Expertise in tech regulations, including GDPR, Copyright, AI Act, DMA, and tax laws. - Experience in highly scrutinized environments, where public affairs are critical to business success. - Trust-building skills, with the ability to defend positions rigorously, foster long-term relationships, and act as a thought partner. - Team player with a bias for action, ownership, and the ability to navigate ambiguity. - AI knowledge and familiarity with long-term industrial plans or model development (a plus). - Open Source mindset, aligning with Mistral AI’s commitment to openness and collaboration. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Position Overview: Join our Central Analytics team to build high-quality data marts, tools, and AI-powered workflows that shape player experience and drive game growth. What You’ll Take On: Write and optimize complex SQL queries to support, experimentation, and model feature engineering across large-scale player datasets.

Location: Boston, MA; Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY; Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's Corporate Systems team runs the core collaboration platforms everyone here works in and builds the tooling and automation behind IT. That responsibility extends to the companies we acquire. Their people, devices, and systems have to come into Anthropic securely. You'll own the IT side of Anthropic's acquisitions: due diligence, integration planning, and integration. Before close, you'll assess a company's IT environment and give the deal team a clear read on risk and effort. You'll define the technical integration plan and its requirements: what moves, where it lands, in what order, what has to be ready on day one, and how each security gap gets closed. After close, you'll carry out that plan and bring the company's people, devices, and systems onto our stack. This is a hands-on engineering role. You'll hold admin, write code, build automation, run the cutovers yourself and bring in other teams when the work calls for their expertise or support. You'll lead this work for IT Engineering and partner with Security, Corporate Development, Legal, People, and Finance at every stage. M&A will be your primary focus and responsibility, but you'll be a full member of the Corporate Systems team;  taking part in planning and reviews, using and contributing to the team’s tooling, and contributing to the roadmap. Early on, M&A will be most of your work, including using Claude to automate the repeatable parts of diligence and integration. As that automation matures, and when M&A load is light, you'll contribute to other parts of the team’s roadmap. Responsibilities Lead technical IT due diligence: assess a company's identity, applications, endpoints, and infrastructure, and brief the deal team on risk and effort before close Find the gaps between an acquired environment and Anthropic's security model, rate them, and build the mitigations into the integration plan Define the technical integration plan and its requirements: what moves, where it lands, in what order, and what has to be ready on day one Run the integration: take over administration, migrate people, devices, and data, and retire what's no longer needed, with support from other IT Engineering teams as required. Work with Business Technology, Client Platform, Corporate Network, IT Operations, and Security on their parts of each integration Keep Corporate Development, Legal, People, Finance, and the acquired company's team clear on where IT stands Build a repeatable IT M&A playbook and automate as much of it as possible with Claude When M&A work is light, contribute to core Corporate Systems projects You may be a good fit if you have 8+ years as a hands-on engineer in corporate IT. You have designed and shipped systems, carried out migrations or integrations yourself, and owned at least one area end-to-end, with experience supporting other areas: identity, applications, endpoints, or corporate infrastructure Experience administering enterprise identity and collaboration platforms such as Google Workspace, Slack, and an SSO provider, and working code in Python or similar against their SaaS APIs Working knowledge of endpoint management and security concepts, enough to lead diligence on an unfamiliar fleet A proven ability to understand an unfamiliar IT environment quickly and deliver a prioritized view of risk to non-specialists A record of leading technical projects that span several teams and run to a fixed date, while doing much of the engineering yourself Comfort working autonomously, with ambiguity and confidential information Clear communication with executives, legal and corporate development teams, and engineers at acquired companies Strong candidates may also have Prior M&A, carve-out, or company-to-company migration experience Experience across the full stack: endpoints, systems, applications, and infrastructure Hands-on experience managing a device fleet or running an MDM Experience working in or alongside a security team A record of building tooling that replaces manual IT work Using Claude or similar tools as a core part of how you work Representative projects Assess an acquired company's IT environment that nobody here has seen and produce a prioritized integration plan within days Design a way to size integration effort and risk for a company of any shape or size Automate bringing acquired people and devices onto Anthropic's identity and device management Write the IT risk memo for a live deal and present it to Corporate Development and Security leadership Deadline to apply: None. Applications will be received on a rolling basis. 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: $325,000 — $360,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: London, UK 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 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 Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role We're looking for an Applied AI Engineer to join our Beneficial Deployments, Life Sciences team. Our goal is for Claude to close the loop on scientific discovery, and a significant part of this is helping Claude to drive scientific hardware and software. You'll help deploy the Model Hardware Standard (MHS) to labs doing the world’s most important research. You’ll scale what you learn in the field by contributing back to the standard, building scalable assets, and driving associated internal product and research direction. Responsibilities Work with labs to automate their experiments end-to-end with Claude - from advising, to prototyping, to writing production code. Drive product, engineering and research direction based on field experience - e.g. building evals to measure limitations of our models in the physical world (capabilities and safety), developing new features on MHS, etc. Scale your impact to the long tail of labs through reusable cookbooks, documentation, and other assets. Be an EMEA ambassador for Claude in the lab - you’ll both inspire and build trust with scientific audiences, from small settings to large conferences. This role will require significant travel You Might Be a Good Fit If You Have Hands-on experience connecting software to lab robots and instruments (liquid handlers, plate readers, scheduling software, LIMS), ideally in an automated lab. Strong engineering skills: you can take an LLM-powered tool from prototype to production code, and write evals to measure its performance. A scientist's instinct for how experiments work: you can spot what's worth automating, and where AI might fail or be unsafe in the physical world. Experience working directly with external customers or partners in a technical role. Clear written and verbal communication: you’ll write docs other labs can use without you and give talks that inspire and earn researchers' trust. A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission. 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: £225,000 — £255,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Warsaw, Poland; Wroclaw, Poland On behalf of CloudSec Client #1 , SD Solutions is looking for a talented Backend Team Lead. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. In this role, you will combine hands-on technical leadership with people management, while tackling complex engineering challenges on a daily basis. The team is responsible for designing, building, and continuously improving scalable backend systems in a cloud-native environment. You will work with all major cloud providers (AWS, GCP, Azure) and lead development using cutting-edge technologies such as Kubernetes, Kafka, ElasticSearch, Redis, Azure ADX, RabbitMQ, and more. This is a key leadership role with direct impact on architecture, delivery, and team growth. Responsibilities: Responsible for the entire lifecycle of the projects, from initial design and development to deployment, monitoring and maintenance in the production environment Contributing to technological and architectural decisions Conducting design and code reviews Analyzing and improving efficiency, scalability, and stability of various backend system components Interfacing with other teams (e.g. Frontend, DevOps, Research, Product) to deliver best-in-class features Requirements: Bachelor of Science in Computer Science/Software Engineering or related field 5+ years of experience with Backend Engineering in a high-level programming language (e.g. Java, C#, Python, Go) 3+ years of experience as a Team Lead Experience with cloud platforms and products (e.g. AWS, GCP and Azure) Experience implementing data-intensive systems (message queue technologies) Experience with microservices-based architecture Advantages: Experience in the cybersecurity industry - advantage. About the company: A next-generation cloud security platform that leverages runtime context to identify and prioritize critical risks. Unlike conventional tools, it uses runtime data proactively for risk prioritization and posture insights, with eBPF-powered sensors. Capabilities include agentless cloud posture discovery, real-time threat protection, and integrated API security — providing end-to-end protection from misconfigurations to malware defense. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: Warsaw, Poland On behalf of AdTech Client #1 , SD Solutions is looking for a talented Software Developer to join our Engineering team. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Play a vital role in contributing to the development, enhancement, and maintenance of our main platform by actively engaging in both backend and frontend development tasks. Utilize a wide variety of technologies, including Java, Spring Boot, MongoDB, Vertica, MySQL, AWS, S3, Docker, and Kubernetes. Conduct research on core technologies and integrate external APIs and third-party services. Provide effective solutions to ongoing technical challenges. Requirements: BSc in Computer Science or equivalent 2+ years of experience in developing complex enterprise web applications and distributed systems in production. Experience in Java programming with a strong emphasis on Spring framework. Experience in working with relational and non-relational databases Experience with modern UI frameworks (Angular, Vue, React) - an advantage! A highly motivated team player with a strong “can-do” attitude and great interpersonal skills A self- learner that can work independently and multi-task effectively BSc in Computer Science or equivalent About the company: A large-scale advertising technology company building audience intelligence and campaign automation tools for brands, agencies, and publishers across multiple digital channels. The platform processes vast data volumes to enable programmatic decisions and measurable business outcomes at a global level. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Location: Paris Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Global payments are complex and ever-evolving. At Checkout our software engineers develop the next-generation payments technologies that enable our Merchants to boost their acceptance rates, cut processing costs, fight fraud, and create cutting edge technology that enables extraordinary customer experiences. We're looking for Software engineers who bring fresh ideas, have a curious nature and are passionate about working in an Engineering environment which focuses on building products to achieve the company's strategic goals. You’ll get to work with teams from across Checkout.com http://Checkout.com’s portfolio of products and services who all have a real customer first philosophy. As a Software engineer, you will lead and drive specific projects critical to Checkout's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display exceptional leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. With your technical expertise you will lead project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. What are we looking for: - Bachelor's or Master's degree in Computer Science, Engineering, or related field - Proficiency in C# .NET, Java, or Go, with a strong understanding of software development principles in either a backend or full stack environment. - Great communication skills and ability to interact effectively with a wide range of stakeholders - Experience working in agile environments and delivering high-quality code within tight deadlines - Excellent problem-solving skills and the ability to work independently as well as part of a team - Someone who is AI proficient or AI curious, you will be hungry to embrace what the latest technology has to offer to enhance yours and your teams productivity - Payments or financial knowledge is a plus, but not a necessity How you’ll make an impact - Be part of, and collaborate with, cross-functional teams including product management, across a large engineering community. - Define and design loosely coupled, scalable systems in a wider microservices using industry best practices. - Stay up-to-date, use, and spread knowledge of the latest technologies used by Checkout. - Write clean, maintainable, extendable and testable code on some of Checkout’s most impactful systems. - Build, own and operate your systems to the highest levels of resilience and service. - Mentor junior team members and assist in their technical development Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Разработка, развитие и обеспечение стабильности работы ИИ-сервисов; Интеграции со смежными внутренними системами компании по API;

Основное: Python, FastAPI, Git, Docker. AI фреймворки: OpenAI SDK, LangChain / LangGraph, LlamaIndex.

The Senior Director, Global Customer Support is a key executive leader responsible for defining and executing Prove’s worldwide support vision, strategy, and operational framework. Global Team Architecture: Build, scale, and lead a high-performing global support organization consisting of US-based engineers and offshore multi-tier support teams.

Location: Remote - Singapore Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Presales Architect. About the job This position is needed to drive technical wins and design scalable customer engagement solutions using Twilio's API platform. As a Presales Architect, you will act as the trusted technical advisor for our most strategic enterprise prospects. You will bridge the gap between complex business problems and Twilio's powerful communication APIs, crafting innovative architectures that drive customer success. By partnering closely with the sales team, you will lead technical discovery, build compelling proofs-of-concept, and demonstrate how Twilio can transform a company's customer engagement strategy. Responsibilities In this role, you’ll: Partner with enterprise sales executives to lead technical discovery sessions, understanding complex business requirements and translating them into comprehensive Twilio solutions. Design and architect scalable, secure, and resilient communication workflows using Twilio's suite of APIs (SMS, Voice, Video, Flex, etc.) tailored to client-specific use cases. Develop and deliver compelling technical demonstrations, custom prototypes, and proofs-of-concept (POCs) that clearly articulate the business value of the Twilio platform. Mitigate technical risks and overcome objections during the sales cycle by providing authoritative guidance on security, compliance, integration patterns, and architectural best practices. Collaborate with product and engineering teams to relay critical market feedback, feature requests, and emerging trends from the field to influence the Twilio roadmap. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: Experience: 5+ years of experience in a presales, sales engineering, or solutions architecture role, preferably within the CCaaS, CPaaS, or broader enterprise SaaS industry. Technical Skills: Demonstrated proficiency in at least one mainstream programming language (e.g., Node.js, Python, Java, or C#) and hands-on experience integrating and troubleshooting RESTful APIs. Soft Skills: Exceptional presentation and communication skills, with a proven ability to distill complex cloud architecture, web security, and enterprise integration concepts for both technical and C-level non-technical stakeholders. Desired: Education: Bachelor’s degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical industry experience. Curious and willingness to work with ambiguity. Location This role will be remote, and based in Singapore. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 50% travel is anticipated to help you connect in-person in a meaningful way. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.