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Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. 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 team: The OKX Data Engineering team is responsible for the whole data scope of OKG, from techincal selection, architecture design, data ingestion, data storage, ETL, data visualization to business intelligence and data science. The team has end-to-end ownership of most of the data at OKx throughout the whole data lifecycle including data ingestion, data ETL, data warehouse and data services.  As a data engineer of the team, you will work with the team to leverage data technologies to empower evidence-based decision-making and improve the quality of the company's products and services. Responsibilities: Design, build, and maintain analytics-ready Data Marts using best-practice dimensional modeling (star/snowflake schemas) Partner with analytics and business teams to understand requirements and deliver trusted, well-documented datasets Design and build resilient and efficient data pipelines for both batch and real-time streaming data Architect and design data infrastructure on cloud using industry standard tools Ensure data integrity and scalability through enforcement of data standards. Improve data validation and monitoring processes to proactively prevent, identify and resolve issues Define, understand, and test external/internal opportunities to improve our products and services Requirements: Bachelor’s Degree in Computer Science and at least 4+ years of experience in Data Engineering with significant focus on Data Marts Solid Experience with data processing tools such as Spark and Flink Solid Experience implementing batch and streaming data pipelines In-depth knowledge of both SQL and NoSQL databases, including performance tuning and troubleshooting Be proficient in SQL, familiar with advanced SQL features such as window functions, aggregate functions and creating scalar functions/user-defined functions Proven successful and trackable experience in full end-to-end data solutions involving data ingestion, data persistence, data extraction and data analysis Preferred Qualifications: Experience with Data Analysis platforms like Datawind Experience in Big D ata tools such as Ali Cloud DataWorks, MaxCompute, AWS DataBricks, Hadoop, Hive, Spark and HBase 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: Tokyo, Japan 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 an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Key responsibilities Partner with account executives across Japan to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers across Japan throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences across Japan. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers across Japan integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns Minimum qualifications Experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Native-level Japanese fluency and business-level English required Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Preferred qualifications 5+ years of relevant experience Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems 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: Riyadh, Saudi Arabia; Doha, Qatar We’re on the hunt for a Cybersecurity Incident Response Specialist with the curiosity of a detective, the calm of a bomb disposal expert, and the analytical instincts of someone who enjoys untangling the world’s messiest PowerShell scripts. You’ll be joining the NetWitness Incident Response team in Saudi Arabia, working alongside a group of battle-tested DFIR professionals who thrive on turning chaos into clarity. You’ll investigate security incidents, perform digital forensics, analyze malware, and help organizations recover from the kind of problems that usually start with, "We just saw some unusual network traffic..." If you enjoy pulling threads to find out what really happened, and you’ve ever taken apart malware “just to see what makes it tick,” you’ll fit right in. Key Responsibilities Conduct cyber incident investigations and digital forensic analysis (sans drama, but with precision). Perform malware triage, memory forensics, and compromise assessments. Document findings clearly enough that even your non-technical colleagues will think you’re a wizard. Work with global NetWitness IR experts to respond to complex attacks and improve detection. Share knowledge, challenge hypotheses, and occasionally utter phrases like “It depends” with confidence. Requirements At least 5 years of solid, hands-on experience in cybersecurity. Minimum 2 years of direct involvement in incident response, digital forensics, or malware analysis. Alternatively, visible public research or open-source projects in DFIR or malware analysis are perfectly acceptable — we value results over titles. Strong technical foundation in Windows, Linux, and network investigations. Comfortable using tools like NetWitness, Volatility, Velociraptor, or your own custom scripts. Scripting skills in Python, PowerShell, or Bash – bonus points if you’ve written something that made your teammates both grateful and slightly afraid. SANS certifications (GCFA, GREM, GNFA, GCFE, etc.) are definite pluses, as is a calm demeanor during incidents that make others panic. Fluency in English; Arabic proficiency is a welcome advantage. Benefits Work with some of the brightest minds in digital forensics and incident response. Get hands-on with major cybersecurity incidents while using serious tooling (and a healthy dose of wit). Be part of a team that values curiosity, professional rigor, and the occasional well-timed sarcastic observation. Continual learning and growth opportunities through global collaboration and SANS-aligned training. If this sounds like your sort of challenge — and you’ve been known to say “I’ll just have a quick look at that memory dump” moments before losing three hours — we’d quite like to hear from you.

Location: San Francisco; New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We’re looking for a customer-obsessed software engineer to come ship with us. You’ll own features like multi-node training and products like serverless reinforcement learning (RL) from conception to MVP (and from MVP to GA!). You’ll work through the stack, architecting solutions from API and UI down to our infrastructure layer. You’ll fine tune models yourself to develop an understanding of user workflows. You’ll work closely with research engineers leveraging state-of-the-art training techniques to build experiences that accelerate model development and solve for real pain points. If you’re excited to dive deep into the training, let’s talk! THE PRODUCT Take a look at what we’ve built so far: - Overview of the product so far https://www.baseten.co/blog/baseten-training-is-ga/#training-is-now-ga - Training docs overview https://docs.baseten.co/training/overview - Story of the Training product https://www.baseten.co/blog/a-q-a-from-inference-to-training-the-inside-story-of-baseten-s-newest-product/ - Research we've done https://www.baseten.co/resources/research/ EXAMPLE INITIATIVES - Checkpointing Pipeline: Our checkpointing pipeline starts with automated checkpointing, a feature that ensures that versions of models created during training are automatically backed up to the cloud. Users are able to then deploy checkpoints seamlessly into inference servers, providing point-and-click integrations into inference frameworks like vLLM and Baseten’s Inference Stack. This enables customers to quickly evaluate the performance of their checkpoints with real traffic. - Multinode training: Multinode training enables customers to easily run training jobs across multiple compute nodes, enabling users to train large models like GLM 4.7 and DeepSeek. We’ve built deeply at the Kubernetes layer to ensure that scheduling, startup, inter-node communication, and shutdown happen seamlessly under the hood and as the user expects. - Training DX: Customers come to train on Baseten because it helps them get to value fast. To do this, we ensure that the features we ship aren’t just fast, but are easy to iterate with. We enhanced Baseten’s metrics from pod-level GPU summaries to per-GPU and per-Node. We’ve built a CLI experience that caters to terminal users, and UI experiences that enable user to seamlessly manage their training jobs. RESPONSIBILITIES - Iterate like crazy - Design ergonomic APIs and abstractions to model complex resources and lifecycles - Work throughout the stack (API layer, backend and database implementation, infra layer; frontend is a plus) to implement features. - Fine-tune and deploy models to develop intuition around training workflows. - Partner closely with model developers and world-class research engineers to understand the requirements and pain points of post-training workflows. - Drive long-term improvements to improve reliability of systems and velocity of development - Fix bugs & resolve customer issues with urgency REQUIREMENTS - 5+ years experience building software applications - Deep knowledge of the web stack, databases, and distributed systems - Experience developing developer tooling or infrastructure products for external or internal users. - Good taste in product, particularly developer-oriented tools - Interest in ML/AI infrastructure and willingness to learn - Driven by high agency and ownership - Strong communication skills with the ability to bridge technical depth and business needs NICE TO HAVE - Experience launching features and products through different release cycles (MVP, Beta, GA, etc.) - Experience with model development methods and paradigms, like Supervised Fine-Tuning, Reinforcement Learning, Synthetic Data Generation, LoRA, Full Finetunes, etc. - Familiarity or experience with the open source training stack and frameworks (NCCL, PyTorch, Megatron, NemoRL, VeRL, Axolotl, HF Trainer) and distributed training techniques (FSDP, DeepSpeed). - Experience developing AI products, tooling, or agents - Frontend fluency BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Montreal Workplace: onsite ABOUT YOU   We are looking for a Tech Lead to drive the technical direction, architecture, and delivery of Xsolla’s fraud prevention and risk systems. This role requires deep fintech and payments experience, strong understanding of Anti-Fraud Systems (AFS), and the ability to lead engineers building high-throughput, low-latency, decision-critical systems.   You will work closely with Product, Data Science, Risk Operations, Compliance, and Platform teams to design and evolve fraud detection, prevention, and investigation capabilities at global scale.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Technical Leadership & Architecture Own the technical vision and architecture of Xsolla’s anti-fraud platform and services. Design scalable, resilient systems for real-time transaction risk scoring , rule engines, and decision workflows. Lead architectural decisions around AFS integrations , internal fraud engines, and third-party providers. Ensure systems meet performance, reliability, security, and compliance requirements. Fraud & Fintech Domain Leadership Translate fraud and risk requirements into robust technical solutions. Partner with Risk, Payments, and Compliance teams on: Transaction monitoring, Chargeback reduction, AML / KYC-adjacent workflows (where applicable), and Regulatory and scheme requirements (Visa, Mastercard, etc.) Evaluate and evolve fraud strategies across: Card-not-present transactions, Alternative payment methods, Digital goods and gaming-specific fraud vectors Engineering Execution: Lead a team of engineers (directly or as a technical lead across squads), Drive best practices in: Code quality and reviews, System observability and alerting, Secure development, and Incident response and root cause analysis Balance speed, risk, and quality in a high-impact domain. Collaboration & Influence: Work cross-functionally with Product Managers, Data Scientists, and Operations Mentor senior and mid-level engineers in both technical depth and domain expertise . Act as a technical escalation point for complex fraud-related incidents. Qualifications & Skills: 8+ years of professional software engineering experience, with significant time in fintech or payments . Proven experience designing or leading Anti-Fraud Systems (AFS) , such as: Rule engines, Risk scoring pipelines, and Decision orchestration systems Strong backend engineering skills (e.g., Java, Kotlin, Go, or similar). Experience building high-volume, low-latency distributed systems . Deep understanding of Event-driven architecture, APIs and integrations, Data stores used for real-time decisioning, and Domain Expertise Hands-on experience with fraud prevention in: Payment processing, Digital commerce or marketplaces, and Gaming or virtual goods (strong plus) Understanding of fraud patterns, abuse vectors, and mitigation techniques. Familiarity with: Chargebacks and dispute flows, 3DS, risk exemptions, and payment scheme rules, and Working with external fraud vendors and tools Proven ability to lead technically without relying solely on formal authority. Strong decision-making skills in ambiguous, high-risk domains. Excellent communication skills, able to explain complex technical and fraud concepts to non-technical stakeholders. Comfortable owning outcomes in a mission-critical area. Nice to Have: Experience working with data science or ML-driven fraud models. Knowledge of AML, KYC, or regulatory frameworks. Prior experience in global payment platforms or PSPs. Experience operating systems at global scale (multiple regions, currencies, and regulations) . Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Tech Lead, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE Feature Flags are a set of APIs and UI that enable B2B developers to safely roll out, control, and experiment with features across environments, customers, and regions. Our goal is to build the best possible developer and end-user experiences so customers can ship confidently, reduce risk, and accelerate their enterprise journey. Our engineers obsess over the developer experience, actively seeking out feedback and new perspectives to inform the products we build. We’re searching for engineers who share this empathetic approach to solving problems. Successful candidates will love taking ideas from zero to one, creating beautiful software experiences with modern tools, and care deeply about creating the best possible products. RESPONSIBILITIES - Design and engineer delightful developer and end-user experiences - Build a deep understanding of Feature Flags’ place in the market and increase its adoption - Accrete developer trust by serving a highly available and secure product - Speak with customers regularly to get feedback, debug issues, and remove points of friction - Collaborate with other product teams, solutions engineering, and our go-to-market team - Work directly with leadership on greenfield ideas - Help recruit and assess future engineering team members QUALIFICATIONS - 5+ years of industry software development experience - Experience working on small teams in fast-paced environments - Background in crafting both polished UI/UX and API services end-to-end - Intellectually curious, independently driven, and passionate about great products - A growth mindset, high emotional intelligence, and strong communication skills - Bonus: Experience working on a feature flags platform or product - Bonus: Experience with our stack of TypeScript, React, and Postgres - Bonus: Experience in B2B SaaS, developer tools, or a related industry Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Hybrid - London, Berlin About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Senior Forward-Deployed Engineer to join our Professional Services team. This role is focused on working directly alongside developer teams in our most strategic enterprise customers to drive transformational outcomes across frontend modernization, platform migrations, and AI adoption. In this role, you will lead complex Next.js migrations, architect high-performance applications, and build production AI solutions - all within customer environments. You'll work hands-on-keyboard alongside customer teams, whether you're migrating a legacy React application to App Router, conducting a deep-dive code audit, or deploying production agents using Vercel's eve framework and AI SDK. Our Forward-Deployed Engineers operate with high agency and autonomy. You'll navigate ambiguous enterprise environments, assess technical debt, design migration strategies, and deliver measurable business value - all while building long-term relationships that expand our partnership with each customer. There are two main profiles for this role: Next.js experts, and AI builders. Next.js experts work on deep customer code optimization, performance audits, AEO and SEO, and teaching customers how to build Next.js apps with AI instrumentation - such as Claude Code, Codex, Cursor, etc with Next.js and Vercel agent skills. The AI builder profile is less focused on deep Next.js experience, and more on identifying, evangelizing, and building AI applications and agentic workflows. Your job in this role will be to understand customers’ businesses, scope, design, and build AI agents, and prove their value. The two profiles are not mutually exclusive and we appreciate expertise in both. You will report to the Global Manager of Forward Deployed Engineering. This role is remote-first with travel to customer sites expected occasionally. Travel requirements vary, but most of our engineers travel no more than 3-4 days every other month. What you'll do Build production AI solutions using Vercel's eve framework, AI SDK, and AI Cloud infrastructure, including conversational interfaces, production agents, MCP servers, and agentic workflows that transform customer operations. Lead complex frontend migrations - modernizing legacy React, Vue, or other frameworks to Next.js, including Pages to App Router transitions, incremental adoption strategies, and large-scale codebase transformations. Automation of migrations is key to engineering efficiency. Conduct code audits and help analyze and improve website performance , analyzing customer codebases for performance bottlenecks, architectural anti-patterns, and optimization opportunities - delivering actionable roadmaps that drive measurable improvements. Architect and implement high-performance Next.js applications , leveraging App Router, Server Components, streaming, ISR, and advanced rendering strategies to meet enterprise scale and performance requirements. Embed with strategic customers to build production applications - working within their systems, understanding their constraints, and shipping TypeScript code that goes live. Drive enablement and knowledge transfer through workshops, pair programming, and documentation - ensuring customer teams can extend and maintain solutions independently. Navigate complex enterprise environments by building relationships with stakeholders across engineering, product, and executive teams - translating technical capabilities into business outcomes. Contribute to our service evolution by identifying repeatable patterns, building reusable components, and sharing implementation insights back to Product and Engineering teams. What you need 6+ years of experience in software engineering with at least 2 years in a customer-facing technical role (consulting, solutions architecture, forward deployed engineering, or technical founder experience). Experience using AI instrumentation such as harnesses, skills, and MCPs to build and deploy web applications, backend systems, and/or agentic workflows. High agency with comfort in ambiguity - you thrive when given a problem to solve rather than a task to complete, and you can navigate complex organizations to create a plan and drive a project. Exceptional communication skills with the ability to conduct technical discovery, present to executives, mentor engineers, and build lasting customer relationships - all with a low-ego, collaborative approach. Business acumen to understand customer objectives, translate technical capabilities into ROI, and identify expansion opportunities throughout engagement lifecycles. Willingness to travel occasionally to customer sites for embedded work and relationship building. Next.js-focused Candidates: Expert-level TypeScript skills - You are fluent in TypeScript and have strong opinions on type safety, patterns, and tooling. Deep expertise in Next.js , with a proven track record of architecting and delivering complex applications using App Router, Server Components, server-side rendering (SSR), static generation (SSG), and incremental static regeneration (ISR), and personalization. Demonstrated experience leading frontend migrations - you've converted legacy applications to Next.js, navigated incremental adoption strategies, and understand the challenges of migrating large codebases in production environments. Mastery of React and its ecosystem, including advanced state management, performance optimization, and modern patterns like streaming, suspense, and concurrent features. AI-focused Candidates: Production experience with LLMs and AI applications , including agent development, cloud sandbox & filesystem agent patterns, human-in-the-loop patterns, and value optimization. Familiarity with Vercel's eve framework and AI SDK is strongly preferred. Ability to identify business cases for AI agents - many customers need guidance not only on how to build AI agents, but where and why to use AI. You’ll need to listen and understand a day-in-the-life of customers’ teams to build proposals. Bonus if you Have led enterprise AI transformation initiatives, including building production agents that automated manual processes or replaced legacy systems. Have taught others how to develop software using AI, best practices for building agents, harnesses, skills, and MCPs. Have led large-scale migrations from legacy frameworks (Create React App, Gatsby, custom webpack setups) to Next.js in enterprise environments. Have expertise in performance optimization and Core Web Vitals, with experience diagnosing and fixing LCP, CLS, and INP issues at scale. Have contributed to the Next.js, React, or AI SDK open-source projects, or maintain popular related libraries. Have experience with enterprise deployment patterns including security reviews, compliance requirements, and multi-region architectures. Have a background in financial services, healthcare, retail/e-commerce, or media - industries with complex frontend ecosystems and growing AI adoption. Have spoken at conferences or published thought leadership on frontend architecture, migrations, or AI applications. Benefits: Great compensation package and stock options. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off - Flexible vacation policy with a recommended 4-weeks per year, and paid holidays. Remote Friendly - Work with teammates from different time zones across the globe. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. About the role 💭 We're at an inflection point for what it means to build for developers and agents. The way engineers discover, integrate, and work with APIs is changing fast, and we're actively building the infrastructure to meet that shift. Developers still integrate WorkOS, but increasingly their agents do it for them. This team owns every way into WorkOS that isn't the dashboard: SDKs in 9 languages, now generated from our API spec; an AI installer CLI that sets up AuthKit in any project; our MCP servers and agent skills; and other not released projects we're building in-house. You'd ship daily with agents as collaborators, and your code goes into other people's apps. The roadmap comes from watching real integrations: friction logs, shared customer Slack channels and telemetry. The goal is that when a developer (or their agent) needs enterprise-ready auth, WorkOS is the easiest path forward regardless of stack, language, or how they're building. What you'll work on - Ship agent tools and skills so developers (and their agents) can integrate WorkOS without friction - Write evaluations to measure whether what you ship actually improves developer outcomes - Talk to customers, surface insights, and translate them into roadmap - Contribute to the architecture and tooling for fully generated, polyglot SDK pipelines — so a change to the API propagates cleanly across all languages - Own and evolve SDKs across our seven supported languages (Node/TypeScript, Python, Ruby, Go, Java, PHP, .NET) and framework libraries like our Next.js, Remix, and TanStack integrations - Build and extend AI-native documentation systems as structured context that makes WorkOS work well in Cursor, Claude, Copilot, and agentic workflows - Represent WorkOS publicly through docs, blog posts, OSS, and occasional conference appearances - Build developer tooling like the WorkOS CLI that make complex integrations feel trivial What we're looking for - 5+ years of software development experience with a real track record of shipping and maintaining SDKs or OSS projects - Deep fluency in at least three of our supported languages; you should have strong opinions about what idiomatic code looks like in each - Experience with or genuine excitement about AI-native tooling: agent SDKs, context engineering, evals, LLM-powered CLIs - Interest in documentation as infrastructure, not just prose - Strong instincts for what makes a developer experience good vs. merely functional - Experience owning projects end-to-end and driving decisions based on customer impact Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Bangalore Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll work alongside diverse, cross-border teams and supportive colleagues who share knowledge and want to see you succeed. We are looking for a talented and motivated NetSuite Developer to join our growing team. The ideal candidate will have a strong background in NetSuite development, including SuiteScript, SuiteFlow, and integrations. You will work closely with our business stakeholders to understand their requirements and develop solutions to improve our NetSuite environment. Your Impact: Develop, test, and deploy NetSuite customizations, including SuiteScripts (Client, Server, Scheduled, and Restlets), SuiteFlow workflows, and saved searches. Integrate NetSuite with other systems using APIs, web services, and middleware. Provide technical support and troubleshooting for NetSuite issues. Collaborate with business users to gather requirements and translate them into technical specifications. Create and maintain technical documentation for NetSuite customizations and integrations. Stay up-to-date with the latest NetSuite features and updates. Participate in code reviews and ensure adherence to development standards. Your Qualifications: Bachelor's degree in Computer Science, Information Systems, or a related field. 3+ years of experience as a NetSuite Developer. Strong proficiency in SuiteScript (1.0 and 2.0), SuiteFlow, and saved searches.Experience developing RESTlets for custom integrations and data manipulation. Solid understanding of NetSuite’s customization capabilities and development tools. Familiarity with NetSuite’s SuiteCloud Development Framework (SDF) and deployment processes. Experience with NetSuite integrations using REST and SOAP APIs. Background in software development, ideally with experience in JavaScript, SQL, and web services. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. NetSuite certifications are a plus. Interested candidates should apply with their resume and cover letter detailing their relevant experience. Skill Experience Level Description SuiteScript 2.0 3+ Years Proficient in development and deployment of SuiteScript 2.0 SuiteFlow 3+ Years Extensive experience in creating and maintaining SuiteFlow Workflows NetSuite API 3+ Years Strong knowledge of integrating NetSuite with external systems using REST and SOAP API Benefits & Perks: 10 days of National and Festival Holidays per year (eight fixed, two flexible) 18 days of paid vacation per year 14 days of sick leave with a medical certificate per year 5 uncertified sick days per year Group Medical Plan: Coverage for employees, spouse, children, and parents/in-laws for Rs 5,00,000. Free health checkup for employees Personal Accident Insurance: Rs 50,00,000 Term Life Insurance: Rs 50,00,000 Up to 26 weeks of paid maternity leave for the first two children 4 weeks of paid parental leave 2 days off for volunteering with nonprofit charities Broadband/Internet Reimbursement: INR 1500 per month Full-stocked pantry and complimentary lunch Hybrid work model Your recruitment buddy will be Tripti Sachan , Senior Recruiter. #LI-TS1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: San Francisco; New York City Workplace: Hybrid WHAT YOU’LL DO Drive Revenue & Qualify Opportunities - Balance dual inbound and outbound responsibilities to drive pipeline growth - Qualify inbound enterprise prospects using BANT criteria to identify high-value opportunities for Account Executive handoff - Execute targeted outbound campaigns to penetrate specific industry verticals Strategic Outbound & Market Development - Use social selling to represent the Perplexity brand—posting, commenting, and experimenting with new formats to stay top-of-mind with prospects - Research and map accounts within assigned verticals to build comprehensive prospect lists - Develop vertical-specific messaging that resonates with industry pain points and use cases for Perplexity Enterprise - Contribute to top of funnel strategy Sales Operations & Excellence - Maintain pristine data hygiene in Salesforce, ensuring all prospect interactions and qualification criteria are documented - Respond rapidly to inbound inquiries with consultative, value-driven communication - Build and iterate on outbound sequences that drive consistent pipeline generation What You'll Need Core competencies - Exceptional communication skills: Ability to articulate complex AI/search solutions clearly via email and phone, adapting tone and technical depth to various stakeholders - Vertical expertise: Demonstrated understanding of at least one key industry (e.g., Financial Services, Healthcare, Legal, Consulting) with ability to speak to industry-specific challenges - Sales acumen: Proven ability to qualify prospects using BANT methodology while maintaining velocity in the sales cycle - Technical aptitude: Comfort discussing enterprise software, APIs, and AI capabilities at a high level - Self-starter mentality with ability to manage competing priorities (closing deals vs. qualifying for AEs) - Data-driven approach to tracking conversion rates, response times, and pipeline metrics - Intellectual curiosity about how AI and advanced search transform enterprise workflows - Ability to thrive in a fast-paced environment where processes are still being defined Nice to Haves - 9 months to two years in SaaS sales development or business development roles - Experience selling to technical and non-technical buyers - Familiarity with enterprise AI/ML solutions or search technologies - Track record of consistently achieving 100%+ of quota - Pulling data with Salesforce Reporting, SQL or Business intelligence tools - Bachelor's degree or equivalent practical experience - Experience at a high-growth technology startup

Location: San Francisco, CA 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 an Economist at Anthropic, you will work to measure and understand AI's effects on the global economy. You will make fundamental contributions to the development of the Anthropic Economic Index, establishing new methodologies to measure the usage, diffusion, and impact of AI throughout the economy using privacy-preserving tools and novel data sources. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. Responsibilities Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including quarterly reports and industry-specific deep dives Design and conduct empirical research on AI's economic effects, drawing on external data sources and the privacy-preserving measurement systems internally Develop new methodological approaches for studying AI's impact on: Labor markets and the future of work Productivity and task transformation Economic inequality and displacement Industry-specific disruption and adaptation Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Develop causal-inference tooling — e.g. surrogate indexes, heterogeneous-effect pipelines — to help Anthropic evaluate the downstream economic consequences of its own compute, product, and pricing decisions Build and maintain relationships with academic institutions, policy think tanks, and other research partners Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Translate research insights into actionable recommendations for both product decisions and policy discussions Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders You May Be a Good Fit If You Have PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning Experience relevant to the study of AI’s impact on the economy, including: Labor market analysis and occupational change Task-based approaches to technological transformation Large-scale data analysis and econometric methods Large language models for social science research Policy-relevant economic research Experimental and quasi-experimental methods for causal inference Macroeconomic modeling and time series forecasting Agent-based modeling or large-scale simulation Technical skills including: Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Demonstrated ability to: Lead complex research projects from conception to publication Communicate technical findings to diverse audiences Build relationships across academic, policy, and industry communities Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Some Examples of Our Recent Work Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Additional Information For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. Application Question Please provide a writing sample, preferably a job-market paper or other article that showcases your research and technical expertise. Deadline to apply: None. Applications are reviewed 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: $320,000 — $405,000 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: Europe Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. We're looking for a senior to staff level Product Manager to join the team. In this role, you'll be responsible for leading the development of products end-to-end, from conception through development and rollout. If you're excited to have a lot of ownership while remaining in the details day to day, this might be a great fit for you. Linear is a product-led company that focuses on both building and selling. It's up to you to bring together the building and selling sides of the company in order to create something that our customers will love. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America or Europe time zones. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do - Perform up-front discovery through user interviews, competitive research, data analysis, etc. and present findings to the team with conviction and rigor - Help engineers and designers deeply understand user needs, empowering them to make great product decisions - Craft messaging around upcoming features that resonates with users - Enable sales and marketing teams to effectively communicate with and win with customers What we’re looking for - 6+ years experience in the software industry - Previous experience in engineering and/or design roles - Exceptional product and operational judgement - World-class design & product taste - Shameless curiosity, a propensity to question things deeply - Extreme speed and clarity What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear - A video series: Conversations on Quality https://linear.app/quality - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.

Location: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. We're looking for a senior to staff level product manager to join the team. In this role, you'll be responsible for leading the development of products end-to-end, from conception through development and rollout. If you're excited to have a lot of ownership while remaining in the details day to day, this might be a great fit for you. Linear is a product-led company that focuses on both building and selling. It's up to you to bring together the building and selling sides of the company in order to create something that our customers will love. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America or Europe time zones. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you'll do - Perform up-front discovery through user interviews, competitive research, data analysis, etc. and present findings to the team with conviction and rigor - Help engineers and designers deeply understand user needs, empowering them to make great product decisions - Craft messaging around upcoming features that resonates with users - Enable sales and marketing teams to effectively communicate with and win with customers What we’re looking for - 6+ years experience in the software industry - Previous experience in engineering and/or design roles - Exceptional product and operational judgement - World-class design & product taste - Shameless curiosity, a propensity to question things deeply - Extreme speed and clarity What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - How Linear uses Linear: How our Customer Experience team works in Linear https://linear.app/now/cx-in-linear - A video series: Conversations on Quality https://linear.app/quality - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.

Location: New York City, NY; San Francisco, CA 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 a Growth Account Executive, Startups at Anthropic, you'll manage a portfolio of startup customers and help them harness the transformative potential of safe, frontier AI. This role is designed for early-career sales professionals who thrive in fast-paced environments and are excited about building scalable engagement models. You'll leverage Claude and other tools to efficiently serve a large customer base while identifying high-potential accounts for growth. The ideal candidate will combine strong foundational sales skills with intellectual curiosity about AI and a passion for process improvement. You'll develop playbooks for scaled customer engagement that benefit the entire Growth AE organization, while building the skills to advance into more senior AE roles. Responsibilities: Manage a portfolio of ~80 startup accounts, maintaining high retention and identifying expansion opportunities Build and execute scalable engagement models using Claude and automation to efficiently serve a high-volume customer base Identify breakout accounts with high growth potential and ensure smooth transitions to expanded coverage when appropriate Develop and document best practices for scaled customer engagement that can be shared across the Growth AE organization Conduct streamlined account health checks and identify early warning signs of churn risk Partner with customers to understand their business models and product,  advising them through their AI transformation, and gathering feedback to inform product development Collaborate with Applied AI and other cross-functional teams to support customer technical needs You may be a good fit if you have: 3-5 years of experience in sales, account management, customer success, or related roles Demonstrated ability to manage multiple priorities and a high volume of customer relationships simultaneously Strong communication skills with ability to build rapport quickly across various customer personas Analytical mindset with comfort using data to prioritize accounts and identify trends Enthusiasm for emerging technologies and genuine interest in AI A "roll up your sleeves" mentality and comfort operating in ambiguous, fast-changing environments Strong candidates may have: Experience with consumption-based or usage-based pricing models Familiarity with technical products, APIs, or developer-focused solutions Experience working with startup customers or in a high-growth startup environment Exposure to AI/ML concepts and applications 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: $222,800 — $290,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE LangChain is scaling for our next phase of growth, and we are looking for our founding People Partners who are business operators at heart. In this role, you aren’t just "supporting" the team—you are a strategic co-pilot to our EPD, GTM, and Ops leaders. You will proactively anticipate organizational friction, design people solutions that drive business results, and leverage an AI-first mindset to eliminate administrative toil. We are looking for a resilient builder who moves at the speed of an AI startup. You will be deeply embedded in the business, using data to diagnose problems before they arise and influencing senior leadership to make the right calls on org design, talent density, and leadership. LOCATION/CITY: San Francisco, CA; New York, NY RESPONSIBILITIES: - Business-First Partnership: Embed deeply with Engineering, Product, GTM, and Ops to understand their roadmaps. You drive business outcomes—velocity, quality, and retention—through intentional people strategies rather than standard HR playbooks. - Proactive Organizational Architecture: Act as an early warning system. Use data and organizational pulse to anticipate burnout or friction points. Partner with leaders to architect high-performance team structures, headcount forecasting, and foundational builds. - AI-First Operations: Ruthlessly automate the routine. Leverage AI tools and modern tech stacks to streamline people processes, ensuring your time is spent on high-leverage coaching and strategy rather than manual administration. - Strategic Coaching & Influence: Serve as a truth-teller to leaders, from first-time managers to industry veterans. Provide high-signal coaching on performance, leadership, and team dynamics, pushing back when necessary to maintain our high bar. - Data-Driven Insights: Own the People Dashboard for your business units. Build clear, concise one-pagers based on metrics—from attrition trends to comp parity—to influence leadership decisions. - Program Implementation & Stewardship: Tailor the rollout of core programs (compensation cycles, leveling, performance frameworks) to the specific needs of your units. Manage sensitive employee relations with empathy, legal rigor, and a focus on excellence. - XFN Collaboration: Work seamlessly across the People team, flexing between building new programs and partnering with the hiring machine to ensure united solutions for the business. REQUIREMENTS: - Experience: 8+ years as an HRBP or People Partner in a high-growth, fast-paced tech environment. - Business & AI Fluency: Technical and AI-savvy. You speak the language of engineers and researchers and are an early adopter of AI tools to up-level your own productivity. - Strategic Influence: A truth-teller with the confidence to push back on senior leaders and the EQ to do it effectively. - Data-Driven: You don't rely just on gut feel. You use data to tell stories, identify trends, and back up your recommendations. - Precision Communication: A master of high-stakes communication. You can draft a Slack message, a 1-pager, or a board slide that is clear, concise, and persuasive. - Resilient Hustle: You thrive in the grey of a startup and manage multiple high-priority work streams without losing focus. You identify organizational gaps and build solutions without waiting for a ticket. COMPENSATION - Annual salary range: $160,000 - $230,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

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 the role We are looking for software engineers to help build the foundational pieces for safety, oversight and intervention mechanisms of our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight. Responsibilities: Develop the foundational systems which power Safeguards, including infrastructure for data storage and management, metric and evaluation systems, and tooling for human and agentic review. Ensure the day-to-day running of Safeguards systems and hold a high operational bar which serves both safety and customers while reducing the amount of human intervention and oversight required. Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you have: Bachelor’s degree in Computer Science, Software Engineering or comparable professional experience Proficiency in Python Ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 7+ years of experience in a software engineering position Have experience building trust and safety, anti-spam, fraud or abuse detection and mitigation mechanisms and interventions for AI/ML systems Have experience building metrics and measurement systems or data and privacy management systems Have worked closely with operational teams to build custom internal tooling Be proficient in TypeScript or Rust Have experience with Claude Code or similar agentic coding tools Deadline to apply: None. Applications will be reviewed 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 — £395,000 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: Canada Workplace: remote ABOUT YOU   We’re looking for a Backend Software Engineer with a strong infrastructure mindset to join our Technology team. This role sits at the intersection of backend development and platform engineering, with Kubernetes as a first-class concern, not just a deployment target.   Our platform dynamically scales hundreds of servers daily, orchestrating isolated runtime environments inside Kubernetes pods. You’ll help design, build, and evolve the backend services and infrastructure systems that make this possible—focusing heavily on Infrastructure as Code, dynamic scaling, and reliability at scale.   If you enjoy working close to the metal (while still writing application code), thinking in systems, and solving problems where application behavior and infrastructure behavior are deeply intertwined, this role is for you.     ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world.   For more information, visit xsolla.com. Responsibilities: Design, develop, and maintain backend services and APIs using Node.js and TypeScript Architect and evolve Infrastructure as Code (IaC) that drives dynamic Kubernetes scaling and orchestration Build and maintain Docker-based deployment pipelines and runtime images Design and optimize deployment and scaling strategies across many services and environments Collaborate closely with engineering and DevOps to ensure systems are resilient, observable, and secure Monitor, troubleshoot, and improve system performance, reliability, and cost efficiency Document infrastructure patterns, operational workflows, and best practices Stay current with emerging tools and approaches in cloud infrastructure and backend systems Qualifications & Skills Deep hands-on experience with Kubernetes, including: Autoscaling and capacity management, Cluster-level behavior and lifecycle concerns, and Production debugging and incident response Strong experience building and running Dockerized workloads Proficiency in Node.js and TypeScript for backend services Practical experience with Infrastructure as Code (Terraform or similar) Experience designing and operating scalable backend systems in production Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Backend Software Engineer position, we will conduct a background check that may include: - Criminal history check - Employment verification - Education verification   Relevance to Job Responsibilities: The background check is relevant to this position due to responsibilities such as accessing confidential company data and ensuring compliance with regulatory requirements.   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.

Location: Canada Workplace: remote ABOUT YOU   We are looking for a Video Streaming Engineer who is innovative, detail-oriented, and passionate about building high-performance video streaming solutions to join our Technology team. The ideal candidate thrives in a fast-paced, collaborative, and dynamic environment, and is excited to architect, optimize, and maintain advanced video streaming pipelines and infrastructure for global audiences.   Strong technical expertise in GStreamer, Chromium Embedded Framework (CEF), FFmpeg, Docker, Rust, C++, and modern video codecs and protocols is essential. You will be responsible for designing and implementing low-latency, high-quality video streaming systems, integrating with a variety of containers and transmission protocols, and ensuring seamless playback and compositing across platforms.   If you are passionate about advancing video technology and love solving complex challenges in real-time media delivery, we would love to hear from you!     ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world.   For more information, visit xsolla.com. Responsibilities: Design, develop, and optimize video streaming pipelines using GStreamer, FFmpeg, and CEF as part of the compositing pipeline. Implement and maintain support for a wide range of video codecs (e.g., H.264 , HEVC, VP8, VP9, AV1, VVC) and containers/protocols (e.g., FLV, HLS, RTMP, SRT, MPEG TS, MP4). Build and deploy streaming solutions using Docker and containerized environments. Develop high-performance, low-latency video processing modules in Rust and C++. Manage integration of CEF into the video compositing pipeline to enable advanced rendering and overlay capabilities. Monitor, troubleshoot, and optimize streaming quality, latency, and reliability. Collaborate with cross-functional teams to deliver seamless video experiences for end users. Stay current with industry trends and emerging technologies in video streaming and real-time media delivery. Document architecture, processes, and best practices for video streaming systems. Qualifications & Skills Proven experience with GStreamer and FFmpeg for video processing and streaming. Hands-on experience integrating Chromium Embedded Framework (CEF). Proficiency in Docker for containerized deployments. Strong programming skills in Rust and C++. Deep understanding of video codecs ( H.264 , HEVC, VP8, VP9, AV1, VVC). Experience with video containers and transmission protocols (FLV, HLS, RTMP, SRT, MPEG TS, MP4). Solid grasp of network protocols and real-time media transmission. Experience optimizing for low latency and high reliability in video delivery. Nice to Have: Experience with cloud-based video streaming infrastructure (AWS, Azure, GCP). Familiarity with DRM, adaptive bitrate streaming, and content protection. Knowledge of WebRTC or similar real-time communication technologies. Experience with performance profiling and debugging of multimedia applications. Background in gaming, live streaming, or interactive media. Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Video Streaming Engineer position, we will conduct a background check that may include: - Criminal history check - Employment verification - Education verification   Relevance to Job Responsibilities: The background check is relevant to this position due to responsibilities such as accessing confidential company data and ensuring compliance with regulatory requirements.   By submitting your application, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with the Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com.