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Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. As an Engineering Manager, Client Services at Fanatics Betting & Gaming (FBG), you’ll lead engineers within the Sportsbook Client team—an innovative, culturally driven group powering the rapidly growing Fanatics Sportsbook app. The team owns the core customer experience, from showcasing markets, events, and player statistics to rendering highly dynamic, real-time data. Together, we build features that elevate performance, usability, and engagement, driving customer loyalty through an exceptional user experience. You are expected to partner with product and design leadership to shape strategy, optimize engineering processes, remove blockers, and foster a culture of accountability, continuous improvement, and technical excellence. You play a key role in growing engineering talent, driving delivery rigor, and ensuring your team consistently executes against business commitments. We embrace principles of data-driven development, operational excellence, and continuous process optimization to deliver a stable, scalable platform. Central to our strategy is Kotlin, and Kotlin Multiplatform, which empowers us to deliver high-quality features quickly and consistently across multiple ecosystems. By focusing on object-oriented design, modern coding practices, open-source frameworks, and third-party platform integrations, we continuously innovate and deliver at speed in this exciting and fast-moving market. Responsibilities Hire, retain, and develop strong engineers, providing regular actionable feedback, coaching, and clear career growth plans. Lead team execution and delivery planning, ensuring clear ownership, proactive risk management, and consistent velocity against business commitments. Partner closely with product, design, and technical leadership to prioritize work, align team roadmaps with business strategy, and balance feature delivery with technical debt. Establish team norms, rituals, and operational rhythms that support high performance, psychological safety, continuous learning, and effective cross-team collaboration. Guide architectural decisions and technical quality standards on the team, acting as a technical soundboard and player-coach without needing to be the primary author of design specs or code. Drive operational health, system reliability, and observability for team-owned services and client applications, including participating in incident escalation management and post-incident reviews. Optimize sprint planning, grooming, story pointing, and retrospectives to scale practices and improve delivery metrics across client engineering initiatives. Guide teams in operational best practices, actively raising the bar for observability, reliability, and system resilience. Design, stress-test, and refine systems for maintainability. Improve the team's processes and response rhythms for handling high-pressure situations, scope changes, or production incidents, fostering an environment of composure and continuous learning. Develop, test, document, and deploy high quality software into production. Develop a fundamental understanding of our industry, product, feature set and roadmap. Work closely with our product team, design, and other internal stakeholders to make technology decisions that grow and improve our products. Participate in an on-call rotation to address urgent issues outside business hours and contribute to app enhancements and operational efficiency (OE) by troubleshooting and resolving application-related problems. Escalate when tasks or projects hit roadblocks. Be open to occasional travel to Fanatics offices and other locations for conferences, events, meetings, and team-building activities. Experience and Skills 7+ years of software engineering experience with 2+ years of direct engineering management or technical leadership experience managing software engineers. Demonstrated experience hiring, mentoring, and growing engineering talent, building high-performing, inclusive teams. Strong technical foundation in mobile or client-service systems, with sufficient architectural depth to evaluate designs, guide trade-offs, and support engineering best practices. Proven track record of managing delivery plans, unblocking engineers, and driving operational rigor and quality in an Agile/Scrum environment. Team-first mentality, with a willingness to do what it takes to get the job done and a desire to strive for better. Able to effectively communicate complex technical subjects to a variety of audiences (engineers, technical leaders, marketing and operations teams, non-technical functional leaders). Familiar with Agile software product delivery and SCRUM methodology. Thrives in a high-growth environment where priorities evolve regularly and decisions are made quickly. Able to effectively work cross-functionally within an enterprise environment. A Bachelor’s degree, or professional certification, or a combination of education and experience Preferred Qualifications Experience designing and building backend services using Spring Boot or similar Java frameworks Experience working in large-scale distributed systems and event-driven architectures Exposure to cloud infrastructure (e.g., AWS, GCP), CI/CD pipelines, and observability tools Familiarity with functional programming paradigms and actor-based concurrency frameworks like Apache Pekko (or Akka). If you possess some of these qualifications but not all of them, we still encourage you to apply! Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $144,400 — $237,500 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Machine Learning Engineer, Customer Memory. About the job This position is needed to build and scale the pipelines that turn raw conversation data into structured, searchable customer memory, and the evaluation systems that keep that memory accurate as the product evolves. You'll join the Conversation Memory team, which builds the memory layer behind Twilio's Conversational AI platform: the systems that extract what matters from millions of conversations, resolve it to the right customer, and retrieve it in milliseconds when an agent needs it. Memory that is wrong, stale, or crossed between customers is worse than no memory at all, so quality measurement is a first-class part of the work. Responsibilities In this role, you’ll: Build the extraction pipeline that turns raw data into structured memory, tuning the LLM prompts and schemas that decide what an AI agent remembers about a customer and what it forgets. Own the retrieval path that answers "what do we know about this person?" in milliseconds, working with embeddings, vector search, and ranking Contribute to the eval systems that tell us whether memory is actually getting better, turning a fuzzy question of quality into benchmarks and regression gates that run before every change ships. Diagnose production issues across the ingestion, extraction, and indexing path using logs, metrics, and traces. Partner with Product and ML teams to translate customer problems into system changes and evaluation criteria. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: Experience building backend services, and a demonstrated ability to pick up new languages, frameworks, and tools as the problem demands. A curious approach to service management: ability to investigate how systems actually behave in production, and desire to continuously learn how to operate them with rigor and accountability. Experience building or working with evaluation/quality-measurement systems, such as regression detection or quality metrics, or the desire to learn. Solid grounding in observability practices: structured logging, metrics, and using them to debug distributed systems in production. Fluency with AI-assisted dev tools (e.g. agents for code generation, review, debugging), applied with deliberate direction and critical thinking. Desired: Experience with Go and/or Python. Experience with event-streaming systems (e.g. Kafka). Experience building LLM-backed products. Practical experience applying ML, e.g. building, evaluating, or productionizing models. Location This role will be remote, but is not eligible to be hired in San Francisco, CA, Oakland, CA, San Jose, CA, or the surrounding areas. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note the salary range information provided applies only to candidates residing in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State due to local requirements. Compensation for candidates in other locations will be discussed during the hiring process. Please note that hiring for this role is not restricted to the locations listed above. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $128,560 - $160,700 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $136,000 - $170,000. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Application deadline information Applications for this role are intended to be accepted until November 13, 2026 but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

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 The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: This application is for a remote UK position, with the option to work from our London office. However, we prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: £265,000 to £375,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . 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: £265,000 — £375,000 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Anthropic Residency is our paid, fixed-term research program, with placements lasting between six weeks and six months. We are looking for people who have led ambitious work in a variety of technical fields and want to transition to full-time work focused on making sure AI systems are safe and beneficial for all of humanity. If you are a professor in a quantitative discipline, a technical founder or a staff-level engineer and want to transition to work on transformative AI, we want to hear from you. Background in machine learning is not required. What to expect A concrete, scoped project matched to your background, with direct mentorship from Anthropic researchers Access to Claude models and GPU compute Connection to the broader AI safety and security research community Interview process The interview process will include an initial application, recruiter screen, technical assessment, research discussion and a reference check. Applications for this round close on November 22, 2026 (11:59 PM PT). We expect to make offers in January 2027. You may be a good fit if you Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into working on empirical AI research full-time Have led ambitious work in a variety of technical fields (professor in a quantitative discipline, a technical founder or a staff-level engineer) Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Strong candidates may also Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs, reinforcement learning or Kubernetes clusters and complex shared codebases Mentors and research areas Potential Anthropic mentors include: Sara Price : leads the Alignment Training team; background in data science Ethan Perez : leads the Alignment Science team; background in machine learning Evan Hubinger : leads the Alignment Stress-Testing team; formerly at The Machine Intelligence Research Institute (MIRI) Samuel Marks : leads the Scalable Oversight team; background in mathematics Elana Simon : researches the interpretability of language models and biological models; background in biomedical informatics Belinda Li : researches how language models represent the world, users, and themselves; background in natural language processing (PhD, MIT) Jack Lindsey : leads the Model Psychology team; background in theoretical neuroscience Nicholas Carlini : researches adversarial machine learning and AI security; previously at DeepMind and Google Brain Jascha Sohl-Dickstein : works at the intersection of safety and pretraining; background in physics and neuroscience, formerly Principal Scientist at Google Brain Residents will work on empirical research questions in collaboration with Anthropic's research teams. Areas we are particularly interested in include: AI safety & alignment Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. Adversarial Robustness and AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Model Organisms: Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Model Internals and Interpretability: Advancing our understanding of the internal workings of large language models to enable more targeted interventions and safety measures. Safeguards Research: Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. AI Welfare: Improving our understanding of potential AI welfare and developing related evaluations and mitigations. AI security & frontier red-teaming Stress-testing frontier models to understand the full extent of their current capabilities in fields such as cybersecurity, robotics or cryptography. ML systems & reinforcement learning Improving how frontier models are trained and building the infrastructure behind that research, from model architecture, optimizers and training data to accelerator simulators, hardware backends and RL environment pipelines. For a fuller picture of the questions we care about, see our Recommendations for Technical AI Safety Research Directions and recent publications from our Alignment , Interpretability and Frontier Red teams. Logistics Duration: Placements are six weeks, three months or six months, depending on team fit and candidate preferences. Other lengths between three and six months are possible by exception. Location: We prefer that Residents work from our San Francisco office, where most of our research staff is based, but remote participation is possible, especially for shorter placements. Most full-time research roles at Anthropic require relocation to San Francisco. Remote participants need to be based in a country where Anthropic can hire. Commitment: Full-time role for the duration of the residency. Compensation: $350,000 to $500,000/year pro-rated for the duration of the residency + benefits Visa sponsorship: We sponsor visas for placements of three months or longer. For six-week placements we encourage remote participation from a country where Anthropic can hire. Applicants may also be considered for the Anthropic Fellows Program . 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: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States (Remote); At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy. Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values here ! About the role We are looking for a Senior Product Manager to own our authorization optimization product area, where payments and fraud decisioning meet. You will own authorization rate improvement for legitimate transactions. Set the strategy, prioritize the highest-value opportunities, and drive delivery across existing capability teams. This is a hands-on, technical product role. You will translate strategy into precise requirements, define the data and API interfaces that connect us with merchants, payment service providers and issuers, and be the product voice in architecture discussions. You will work daily with engineering and data science, and alongside go-to-market teams who bring the product to merchants. What you'll do Own the authorization optimization roadmap end to end: set priorities, sequence delivery, make tradeoffs, and communicate the plan and its rationale to leadership, engineering and go-to-market teams. Determine where Signifyd should build, orchestrate, partner or influence issuers directly, informed by issuer behavior, merchant needs and regional payment dynamics. Write detailed technical specifications, user stories and acceptance criteria, and manage the backlog with engineering. Define and evolve the APIs, data models and integration points through which authorization and decline data flows between merchants, PSPs, issuers and our platform. Identify, evaluate and develop new partnerships (such as PSPs, gateways, acquirers, issuers and data or technology providers) that expand our coverage and deliver measurable value to merchants. Build issuer/BIN intelligence covering authorization performance, decline patterns and treatment effectiveness. Maintain a quantified opportunity map to prioritize recoverable revenue. Drive issuer-specific decisioning across step-ups, 3DS, decline recovery and intelligent retries; inform routing where merchants have multiple PSP or acquirer options. Work with data science to define requirements for risk-aware decisioning, balancing approval gains against fraud and chargeback exposure. Own measurable authorization uplift and recovered merchant revenue. Demonstrate treatment impact through merchant proofs of value and issuer/BIN-level reporting. Partner with sales, solutions and customer success to bring merchant feedback into the roadmap and support adoption. Stay current on card network rules, regulation and industry practice, and use that knowledge to sharpen requirements. What you'll bring (required) 5+ years in a product management role, including ownership of a roadmap and end-to-end delivery. Hands-on payments product experience spanning issuer authorization behavior, with a deep understanding of decline recovery and retries, 3DS, PSD2/SCA frameworks (including the upcoming transition to PSD3/PSR), and demonstrated improvements in authorization performance. Experience writing detailed technical specs and defining APIs or data interfaces in partnership with engineering (backend or high-volume transaction systems a plus). Strong analytical skills, with comfort working from transaction-level data and defining success metrics. Experience working closely with data science or analytics teams and translating insights into product requirements. Proven ability to influence cross-functional stakeholders without direct authority. Clear written and verbal communication with technical and non-technical audiences. Preferred Experience at a payment processor, PSP, acquirer, card network, issuer or fraud/risk vendor. Exposure to fraud, risk or digital identity products, including the false-decline versus fraud-loss tradeoff. Experience defining requirements for ML-driven decisioning. Familiarity with 3DS/EMVCo, tokenization, ISO 8583 and PSD2/SCA. B2B SaaS or enterprise e-commerce merchant experience. #LI-Remote Benefits in our US offices: Discretionary Time Off Policy (Unlimited!) 401K Match Stock Options Annual Performance Bonus or Commissions Paid Parental Leave (12 weeks) On-Demand Therapy for all employees & their dependents Dedicated learning budget through Learnerbly Health Insurance Dental Insurance Vision Insurance Flexible Spending Account (FSA) Short Term and Long Term Disability Insurance Life Insurance Company Social Events Signifyd Swag Compensation: In the United States, each work location is assigned a specific pay zone, which determines the salary range for a given position. The starting base salary for the selected candidate will be based on a variety of factors, including job-related skills, experience, qualifications, geographic location, and current market conditions. Base Salary Ranges by Pay Zone: Tier 1 (NYC/SF Bay Area/Seattle): $165,000 – $205,000 annually Tier 2 (DC Metro/Austin/Chicago/Denver/Boston/Los Angeles/San Diego): $155,000 – $195,000 annually Tier 3 (US - All Other): $145,000 – $185,000 annually Equity: This role is eligible for a stock option grant of 7,000 stock options, based on the position level and internal compensation guidelines. Bonus: This role is eligible for an annual performance bonus of up to 10% of base salary. We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. Signifyd's Applicant Privacy Notice

Location: Remote, AMER Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. Supabase is the backend of choice for a growing wave of AI-native builders, and we're deepening structured partnerships with the platforms they build on top of — Anthropic, OpenAI, Vercel, and Lovable. These partners' teams are talking to thousands of developers and agents who need exactly what we build—a full backend platform with Postgres at the core—without the vendor lock-in. This is an opportunity to get Supabase in front of the right partner SAs and make us the default recommendation for a modern, AI-ready backend. ABOUT THE ROLE We’re looking for a Platform Solutions Architect to join our Success Team and help embed Supabase into the Solutions and Engineering communities with AI Builders. You’ll work closely with Partner Solutions Architects and Partner Engineers at Anthropic, OpenAI, Vercel, and Lovable, helping us proactively identify builder problems where Supabase is the right solution and closing the gap between partner intent and real developer outcomes. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions of AI-native apps and agents. WHAT YOU’LL BE RESPONSIBLE FOR In this role, you’ll focus on three core pillars: TECHNICAL EVANGELISM & EDUCATION - Build deep relationships with Technical counterparts at Anthropic, OpenAI, Vercel, and Lovable, focusing initially on defined use cases and agent/app-migration motions. - Develop and deliver technical workshops, training materials, and enablement content to give partner SAs the fluency to position Supabase. - Create demos, integration guides, and reference architectures that make Supabase’s fit with Anthropic, OpenAI, Vercel, and Lovable immediately legible. - Partner with SAs at these companies on active opportunities to move deals forward and feeding technical pipeline intelligence back to the alliance lead. TECHNICAL SUPPORT & ENABLEMENT - Resolve blockers for partner SAs working on Supabase implementations to maintain their credibility with the builders they support. - Troubleshoot complex integration scenarios and turn solutions into reusable assets. - Maintain a close feedback loop with Supabase product and engineering teams to ensure technical guidance reflects the latest platform capabilities. - Measure success through co-sell opportunities sourced, influenced deals, and SA enablement metrics across the Anthropic, OpenAI, Vercel, and Lovable partnerships. CONTENT CREATION & THOUGHT LEADERSHIP - Write technical blog posts and case studies that demonstrate real-world Supabase implementations built on Anthropic, OpenAI, Vercel, and Lovable. - Represent Supabase at conferences, meetups, and partner-sponsored events (e.g. Anthropic and OpenAI dev days, Vercel Ship, Lovable community events). - Develop video content and interactive learning experiences to reduce the "time-to-fluency" for partner SAs. YOU MIGHT BE A GOOD FIT IF YOU - Have 5+ years of experience in technical roles with deep hands-on experience building on modern AI infrastructure. Previous experience working at Anthropic, OpenAI, Vercel, Lovable (or a similar AI builder platform) or as a partner to one is required. - Understand how partner SAs at AI builder platforms are incentivized, how they make recommendations, and how the partner ecosystem influences developer decisions. - Communicate clearly across both technical and non-technical audiences, explaining complex concepts with ease. - Have a strong technical foundation in PostgreSQL, APIs, and modern development frameworks like React and Next.js, plus fluency with AI/agent tooling (LLM APIs, MCP, agent frameworks). - Are comfortable navigating ambiguity and moving quickly to build a playbook from scratch. - Are energized by solving real-world problems for developers building the next generation of AI-native products. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: Cardiff, London or Remote (UK) 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London or Remote (UK)  | 💰£79,000 - £93,000 + Incentive Awards tied to your performance + Benefits About the team: Our Borrowing (lending) business is growing rapidly across both existing products and with the planned launch of new initiatives. As our lending portfolio grows, our second line of defence Credit Model Validation team is growing with it - and we’re looking for a Credit Model Validation Manager to join us! Our Credit Model Validation team provides independent oversight and challenge to our model development teams in the first line of defence. We help Monzo grow safely and make sure the models we use are fit for purpose, appropriately governed and deliver good outcomes for our customers. You’ll join our validation squad and provide expert independent validation and oversight across a broad suite of credit models. This is a generalist role rather than one focused on a particular model type. You’ll work across models used for impairment, capital, stress testing, forecasting and credit decisioning, including IFRS 9 PD, LGD, EAD and economic response models; decision science scorecards and origination PD models; and Net Present Value (NPV) / unit economics models. Strong data and analytical skills are a must, as is broad expertise in credit risk modelling and model risk management. You’ll have hands-on experience in model validation and/or development within financial services, and be comfortable getting into the data and code to form an independent view across different model types. Your day-to-day Leading hands-on independent validation across Monzo’s credit model portfolio - covering models used for IFRS 9 impairment, capital and stress testing, forecasting, credit decisioning and unit economics - and making sure they are fit for purpose, appropriately governed and performing as expected Reviewing and challenging key model-led credit risk assessments, including impairment adequacy, ICAAP and stress testing, using independent analysis to assess assumptions, limitations and impacts Developing a deep understanding of Monzo’s credit models and how they are used, and using this to provide impactful input and challenge to model developers and users Contributing to making model validation more consistent, scalable and technology-enabled - building reusable analytical tools and tests, experimenting with AI-assisted approaches and helping the team embed them safely Reviewing ongoing model performance monitoring to ensure our lending models perform within our risk thresholds, and providing support to our first line of defence teams when action is required Performing statistical analyses, model replication and challenger work where appropriate to test assumptions, assess performance and strengthen validation conclusions Improving and helping to embed our Model Risk Framework, including our policies, standards, model inventory, governance and validation approach. This means making sure we follow up-to-date regulatory expectations and that our processes remain proportionate and relevant as modelling techniques evolve Writing clear and impactful model validation reports, and presenting the findings and actions in relevant committees Partnering with colleagues in first line of defence credit strategy, modelling and finance teams - and with wider risk teams across Monzo - to support effective model governance and consistent validation standards across the organisation You should apply if you: Have a strong background and practical experience in credit model development and/or validation across a range of model types. You’ll have meaningful experience with IFRS 9 impairment, Internal Ratings Based (IRB) or other capital models, alongside broader exposure to several areas such as stress testing, economic response, forecasting, decision science scorecards or NPV / unit economics modelling Understand model risk management in practice, including independent validation, model governance, ongoing monitoring, model change and issue management, and how regulatory expectations apply across the model lifecycle Are impact-driven and want to improve how validation is done, not only complete individual reviews. You can turn repeatable work into practical methods, tools or guidance that improve quality and consistency across the team. Are curious about AI and automation, and can assess where they add value, the risks they introduce, and the controls and human oversight needed. Experience with AI-assisted analytical or coding tools is useful, but not essential Are data driven, with strong analytical skills and deep knowledge of statistical techniques for credit and model risk. Strong SQL and Python skills are essential. You can produce clear, reusable and tested code, using collaborative practices such as version control, peer review and documentation. Experience with Tableau, Looker or similar is a plus. Can assess models in the context of how they are used - including accounting, capital, credit strategy, risk appetite and customer outcomes - and can distinguish technical model performance from the wider risks of relying on the model Have strong written and verbal communication skills, and are able to articulate problems and solutions using clear and simple language. This is particularly important for breaking down complex issues and priorities to non-experts Have a track record of building and maintaining trusting relationships with stakeholders at all levels, and can provide effective and respectful challenge Our technology stack We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics infrastructure dbt and BigQuery SQL for our data modelling and warehousing Python for data science and machine learning Go to write our application code AWS for most of our backend infrastructure The interview process: Our interview process usually involves up to four main stages via Google Meet: An initial call with our recruiter A call with our Senior Model Validation Manager, the hiring manager for the role A role-specific call with colleagues from our credit modelling and model risk teams. We’ll share a short case study in advance, but you won’t need to submit a written response; we’ll use it to guide the discussion during the interview. A behavioural interview 🙌 What’s in it for you 💰 £79,000 - £93,000 + Incentive Awards tied to your performance benefits. 📍 This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 📚 £1,000 learning budget each year to use on books, training courses and conferences. 🏡 We will set you up to work from home; all employees are given MacBooks and for fully remote workers we will provide extra support for your work-from-home setup. ➕ Plus lots more! Read our full list of benefits . We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here . We’ll close this role once we have enough applications for the next stage, so please apply as soon as you can - we don’t want you to miss out! #LI-TK1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Location: San Francisco (On-Site) Workplace: OnSite ABOUT SVIX Svix is a fast-growing startup building the future of server-to-server communication, starting with webhooks. We build high-quality, scalable, and fast infrastructure trusted by companies like Etsy, TaskRabbit, Brex, and the Fortune 500. We have a top 1% product & team, our customers love us, and we are working towards building a generation defining developer infrastructure company. We also wrote the spec for webhooks (Standard Webhooks https://www.standardwebhooks.com) which has since been adopted by Google Gemini, OpenAI, Anthropic, and many others. To support our efforts, we have raised $11M from top investors including a16z and Y Combinator, along with founders and CTOs from companies like GitHub, Segment, Lookout, and Fly.io. ABOUT THE ROLE Hey, I'm Tom, the founder and CEO of Svix. I'm looking for someone smart and ambitious that wants to operate like a founder at a company that provides critical infrastructure to fast growing startups and the Fortune 500 (Etsy, TaskRabbit, Brex, Benchling, Vanta, Drata, and more). You will work directly with me, engineering and GTM to evolve the product that got us here into a suite that takes us to $100M ARR and beyond, by establishing our place as the core communication primitive for backends and agents. This is not some lofty goal, we are actually on track on becoming that. In addition to our ever-growing roster of customers, we also created Standard Webhooks, the spec for webhooks, which has since been adopted by Anthropic, OpenAI, Gemini, MCP, and many others. I want you to make a high impact on the business, so your focus would be the product roadmap and strategy, and you’ll be expected to prioritize ruthlessly, ship fast, and help define how our product serves AI agents as first-class users. You won’t be expected to write lengthy PRDs and we don’t want to have a product-engineering divide. We have product engineers on the team that can make many of the tactical product decisions. It’s therefore your job to focus on the direction and to ensure what we build matches what our customers need. I enjoy working with exceptional people, so if you're the best or on track to being the best I'd love for us to work together. If this sounds like what you’re after, come join us in person at our San Francisco office and do the best work of your life, surrounded by others doing the same! GENERAL GUIDELINES - We like candidates with varied backgrounds - don't be shy, apply! - Hackers/OSS devs welcome, even without extensive work history. Checkout our OSS repo on Github https://github.com/svix/svix-webhooks. - Please include a few words on why you'd like to work at Svix. - All roles are full-time - no students or part-time.

– Коммерческий опыт тестирования от 3 лет. – Опыт автоматизации тестирования на Java.

Location: Remote, Poland; Remote, United Kingdom GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Engineering Manager, Architecture Engineering: Async, you'll lead a distributed group of Site Reliability Engineers and Backend Engineers. You'll support their development and balance production reliability with platform projects, including zero-downtime Redis upgrades, support for single-tenant and cell-based deployments, and the move from queue-based job orchestration to a durable workflow engine. What you'll do Lead, hire, and grow a team of site reliability engineers and backend engineers, supporting career development, promotions, and onboarding. Own reliability for the job processing and caching platforms, including service-level objectives, error budgets, alerting, and weekly operational reviews. Manage capacity planning, support escalations, and incident follow-ups, balancing operational work with roadmap projects and rescoping work when deadlines can't be met. Run the team's part of GitLab.com's first-tier on-call rotation, including shift coverage, onboarding, and handovers, and serve as incident commander for high-severity incidents. Drive zero-downtime Redis version upgrades and automate operating system patching and reboots. Adapt job processing to run in single-tenant and cell-based deployments. Own the migration from queue-based job orchestration to a durable workflow engine, defining the first use cases, a measurable migration path, and the roadmap. Own quarterly planning and the team roadmap, and clarify shared operational responsibilities with partner teams, including Git storage. Take part in on-call or operational support where your team’s ownership model requires it. What you'll bring Experience managing an engineering team delivering high-performance services at scale, ideally site reliability engineers or infrastructure engineers running production software as a service systems. Technical depth in background job processing and caching technologies such as Redis and Sidekiq, sufficient to guide decisions about upgrades, capacity, and failure modes. Experience managing reliability against service-level objectives, including defining service-level indicators, setting up burn-rate alerting, and planning capacity. Experience running a 24/7 on-call rotation and coordinating high-severity incidents. A track record of balancing operational work and incident follow-ups with roadmap projects, and pushing back on scope when deadlines can't be met. Experience leading a fully remote team across time zones in the Americas, Europe, the Middle East, Africa, and Asia-Pacific. About the team The Async team runs GitLab.com's background processing layer, from the Sidekiq infrastructure to the shared code that enqueues jobs. Product teams build the jobs; we keep the platform that runs them fast and reliable. Our Redis clusters support caching, sessions, rate limiting, queues, and shared state. We also support data durability through backup and restore verification, object storage, and operational support for Git repository storage. That work includes restore drills, capacity rebalancing, and provisioning. We staff GitLab.com's first-tier production on-call rotation in 8-hour shifts across the Americas, Europe, the Middle East, Africa, and Asia-Pacific, triaging every paging alert and bringing in the right team when needed. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: CA - Canada Scopely is looking for a Senior QA Manager, Automation & Tooling to join our team supporting a soon-to-be-announced AAA mobile game title. This role can be remote in the US and Canada, or hybrid in Culver City. You will lead the automation strategy for a live game, building the people, processes, frameworks, and tooling required to scale quality across frequent releases and a large, active player base. You will partner closely with Engineering, QA, Live Operations, and other disciplines to establish a development culture where automation is a shared responsibility and a core component of product quality. At Scopely, we create and operate games played by millions of people around the world. This role is an opportunity to shape how quality engineering evolves from the ground up for a high-scale live mobile game. What You Will Do Define and execute the QA automation strategy for a live mobile game, including scalable frameworks, tooling, standards, and quality gates. Build and lead an automation team from the ground up, including hiring, team structure, processes, mentorship, and career development. Design, build, and implement automated testing across UI, API, integration, regression, end-to-end, mobile, and live-operations workflows. Evaluate automation approaches, frameworks, platforms, and traditional or AI-assisted tools based on coverage, maintainability, speed, and value. Establish automation standards, coding practices, test architecture, reporting, observability, and quality gates that can scale with the game and organization. Partner with Engineering and QA to prioritize automation, improve testability, integrate testing into CI/CD, and establish shared ownership of automated tests, ensuring automation is part of the definition of done for every feature. Provide hands-on technical leadership through framework design, prototypes, code reviews, automation implementation, and test-script development. Mentor manual testers as they develop coding and automation skills, while defining metrics for coverage, stability, flakiness, execution time, and defect detection. Communicate quality risks, automation progress, and investment needs while partnering with Product, Live Operations, Marketing, Customer Support, Localization, and external development teams. Champion quality and release excellence across the organization while ensuring automation supports—not replaces—strong exploratory and risk-based testing. What We’re Looking For 8+ years of experience in QA, test automation, or quality engineering, including 4+ years leading or building automation teams. Proven experience creating automation strategies, frameworks, tooling, and infrastructure for complex products, ideally from the ground up. Experience evaluating automation approaches and tools, integrating automated tests into CI/CD pipelines, and scaling quality practices for frequent live releases. Hands-on programming experience in one or more languages; C# preferred. Strong understanding of testing methodologies, automation architecture, coding practices, testability, and software development lifecycles. Experience mentoring manual testers in coding, automation, and automated test-script development. Proven ability to align Engineering and QA around automation, shared quality ownership, and continuous improvement. Experience with mobile testing and familiarity with traditional and AI-assisted testing tools; game-testing experience preferred. Experience with test management, defect tracking, source control, build systems, CI/CD, and release-management tools. Strong communication, organization, analytical, stakeholder-management, and distributed-team leadership skills. Bonus Points Experience working on a live mobile, free-to-play, or core game. Experience with mobile-device farms, emulators, simulators, or cloud-based device testing. Experience testing Unity, Unreal, or other game-engine-based products. Experience with API, backend-service, data, performance, load, or reliability automation. Experience automating live events, remote configuration, experimentation, monetization, or service-driven game features. Familiarity with AI-powered test generation, test maintenance, visual validation, defect triage, or code-assistance tools. Experience establishing automation metrics, quality dashboards, and engineering quality gates. Experience working across internal and external development partners. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: US - Culver City, California, United States; US - United States Scopely is looking for a Senior QA Manager, Automation & Tooling to join our team supporting a soon-to-be-announced AAA mobile game title. This role can be remote in the US and Canada, or hybrid in Culver City. You will lead the automation strategy for a live game, building the people, processes, frameworks, and tooling required to scale quality across frequent releases and a large, active player base. You will partner closely with Engineering, QA, Live Operations, and other disciplines to establish a development culture where automation is a shared responsibility and a core component of product quality. At Scopely, we create and operate games played by millions of people around the world. This role is an opportunity to shape how quality engineering evolves from the ground up for a high-scale live mobile game. What You Will Do Define and execute the QA automation strategy for a live mobile game, including scalable frameworks, tooling, standards, and quality gates. Build and lead an automation team from the ground up, including hiring, team structure, processes, mentorship, and career development. Design, build, and implement automated testing across UI, API, integration, regression, end-to-end, mobile, and live-operations workflows. Evaluate automation approaches, frameworks, platforms, and traditional or AI-assisted tools based on coverage, maintainability, speed, and value. Establish automation standards, coding practices, test architecture, reporting, observability, and quality gates that can scale with the game and organization. Partner with Engineering and QA to prioritize automation, improve testability, integrate testing into CI/CD, and establish shared ownership of automated tests, ensuring automation is part of the definition of done for every feature. Provide hands-on technical leadership through framework design, prototypes, code reviews, automation implementation, and test-script development. Mentor manual testers as they develop coding and automation skills, while defining metrics for coverage, stability, flakiness, execution time, and defect detection. Communicate quality risks, automation progress, and investment needs while partnering with Product, Live Operations, Marketing, Customer Support, Localization, and external development teams. Champion quality and release excellence across the organization while ensuring automation supports—not replaces—strong exploratory and risk-based testing. What We’re Looking For 8+ years of experience in QA, test automation, or quality engineering, including 4+ years leading or building automation teams. Proven experience creating automation strategies, frameworks, tooling, and infrastructure for complex products, ideally from the ground up. Experience evaluating automation approaches and tools, integrating automated tests into CI/CD pipelines, and scaling quality practices for frequent live releases. Hands-on programming experience in one or more languages; C# preferred. Strong understanding of testing methodologies, automation architecture, coding practices, testability, and software development lifecycles. Experience mentoring manual testers in coding, automation, and automated test-script development. Proven ability to align Engineering and QA around automation, shared quality ownership, and continuous improvement. Experience with mobile testing and familiarity with traditional and AI-assisted testing tools; game-testing experience preferred. Experience with test management, defect tracking, source control, build systems, CI/CD, and release-management tools. Strong communication, organization, analytical, stakeholder-management, and distributed-team leadership skills. Bonus Points Experience working on a live mobile, free-to-play, or core game. Experience with mobile-device farms, emulators, simulators, or cloud-based device testing. Experience testing Unity, Unreal, or other game-engine-based products. Experience with API, backend-service, data, performance, load, or reliability automation. Experience automating live events, remote configuration, experimentation, monetization, or service-driven game features. Familiarity with AI-powered test generation, test maintenance, visual validation, defect triage, or code-assistance tools. Experience establishing automation metrics, quality dashboards, and engineering quality gates. Experience working across internal and external development partners. For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. CA, CO, NJ, NY, and WA Annual Salary Range $112,200 — $165,300 USD About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Разработка и поддержка автотестов на Java, ручное тестирование веб- и мобильных приложений, проверка API и интеграций, анализ результатов тестирования, локализация дефектов и участие в развитии автоматизации.

Location: Montreal Workplace: hybrid ABOUT YOU You will build high-performance interfaces that power our promotional tools, segmentation dashboards, and real-time operational workflows used by game studios worldwide. This role requires strong technical skills, a product mindset, and a passion for crafting fast, elegant UIs at 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: Build and evolve scalable, high-performance web applications using React (or Vue) with Next.js for SSR and modern web delivery. Collaborate with product managers, designers, and backend engineers to translate complex monetization workflows into intuitive user experiences. Optimize frontend performance, focusing on loading times, rendering speed, and bundle efficiency, especially in data-heavy dashboards. Ensure cross-browser and multi-device compatibility while meeting accessibility (a11y) and usability standards. Participate in code reviews, share best practices, and help maintain high engineering standards within the frontend team. Work closely with DevOps to streamline CI/CD pipelines, improve deployment reliability, and enhance observability through metrics and monitoring tools. Own features end-to-end requirement refinement, implementation, testing, and delivery. REQUIREMENTS: 1-3 years of professional experience in front-end development (internships, co-ops and substantial personal or open-source projects count). Hands-on experience with React; working knowledge of TypeScript. Solid foundation in JavaScript (ES6+), HTML5 and CSS3. Experience building responsive layouts (e.g., Flexbox, Grid, Tailwind or CSS-in-JS). Basic understanding of consuming REST APIs (fetch/axios, async handling). Familiarity with Git and collaborative workflows (branches, pull requests). Exposure to a testing framework such as Jest or Cypress. Ability to turn designs into working UI with strong attention to detail. Clear written and verbal communication in English; comfortable asking questions and giving updates. NICE TO HAVE: Experience with TypeScript-first environments. Exposure to micro-frontends, edge rendering, or PWAs. Knowledge of animation frameworks (GSAP, Three.js ) or advanced motion/interaction design. Background in gaming, fintech, or high-load consumer platforms. Experience with analytics dashboards, virtualization libraries, or complex internal tools. Familiarity feature flagging, AB testing, or Monetization systems. Experience migrating legacy codebases or leading UI modernization projects. 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 Frontend Software Engineer, 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: Brazil; Uruguay; Peru; Colombia; Argentina; Mexico; Chile Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. Kraken's engineers build a lot of software. Developer Platform AI builds the AI systems they use to do it: agents that write and review code, simple access to the best models in the tools they already use, and the infrastructure that connects AI to our internal systems. This is a small team with a lot of reach. The tools you ship will change how engineers across Kraken work every day, and you'll see that happen directly. The work spans agent platforms, code review, LLM routing and cost controls, MCP integrations with tools like Slack, Jira and GitLab, and the security and observability that make all of it safe to run. If you want to work on applied AI with real users from day one, this is that job. THE OPPORTUNITY - Build the platform Kraken's agents run on: dynamic sandboxes, Slack workflows, approval gates, memory, and agents that can take real engineering work from start to finish - Build our code review agent so merge requests get fast, useful feedback, and human reviewers can spend their time on design, risk and judgment - Give engineers access to approved models in Claude Code, Cursor and Codex with no setup, so trying a new model takes seconds - Build the connections between AI and the tools engineers use every day, including Slack, Jira, GitLab and internal APIs - Route LLM requests to the right model for the job, balancing speed, quality and cost - Work with Security to build access control, audit logging, budgets and cost reporting into the platform - Own features end to end, from design through production, and keep them reliable alongside SRE - Stay close to the engineers using what you build, and use their feedback to decide what comes next SKILLS YOU SHOULD HODL - Solid experience building and running backend or platform services in production - Strong skills in Rust, Python, TypeScript or Go, with a habit of writing well-tested, maintainable code - Comfort with Kubernetes, CI/CD, observability and a major cloud provider - Good judgment about reliability, security and operational tradeoffs - The ability to lead a technical design, write it down clearly, and work with teams outside your own - Ownership: you can take something from idea to production and keep it working once it's there NICE TO HAVES - Hands-on experience with LLM APIs: streaming, token accounting, rate limits, provider failure modes - Experience building agent systems, code review or static analysis tooling, sandboxed execution, or developer tools - Experience with API gateways, proxies or traffic management - Familiarity with OAuth, OIDC and role-based access control - Contributions to open-source infrastructure or developer-platform projects Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on X https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

💼 Форматы сотрудничества: — Разработка под ключ.

• Опыт PM, Scrum Master или Delivery Manager в продуктовой IT от 3 лет, команда от 6 человек. • Опыт ведения backend, веба и мобильного приложения, релизы в App Store и Google Play.

🧠 Развивать пайплайны генерации на generative AI моделях: сообщения в чатах (LLM), изображения и видео. 🎞 Работать с text-to-video, image-to-video, video-to-video, character-consistent video, lip-sync, motion transfer, face consistency.