Вакансии

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Recruiting Research Scientist to join our People Data Solutions team. You’ll be the research expert supporting our Recruiting organization, using rigorous scientific methods to advance our understanding of recruiting funnels, interview effectiveness, candidate experience, and recruiting capacity. This role sits at the intersection of organizational science, behavioral research, and people strategy – developing novel frameworks and conducting systematic research that drives evidence-based people decisions across our growing organization. This role offers the opportunity to make a significant impact on both our recruiting practices and the broader field of people science at a leading AI safety company. Responsibilities Research design & scientific inquiry Design and execute systematic research studies to answer fundamental questions about recruiting funnel health, assessment quality, candidate experience, and quality of hire Generate and test hypotheses about sourcing strategies, interview design, and selection decisions using rigorous experimental and quasi-experimental methods Conduct mixed-method research to understand what are the drivers and blockers to recruiting operations. Navigate research ethics considerations when studying candidate data, ensuring responsible research practices Selection & assessment research Design and execute validation studies to assess the quality of interviews and other selection tools Utilize psychometric techniques to analyze and improve interviewer calibration and rating consistency Lead investigative research into innovative approaches for candidate assessment Metrics design and governance Design the metrics framework for recruiting org health — defining the canonical KPIs, dimensions, and definitions that leadership uses to understand funnel performance, capacity, and hiring quality Establish the governance and definitional rigor that keeps metrics consistent across tools and reporting surfaces Analytical solution building Architect analytical solutions that convert research insights into actionable products, empowering stakeholders to execute data-driven scenario and strategic planning Quantify the adoption and downstream impact of deployed tools, driving iterative improvements Visualization & communication Build compelling visualizations and dashboards that make complex research findings accessible to diverse audiences Present research findings to senior leadership with clear, actionable recommendations Minimum Qualifications: Hold an advanced degree (Master’s or PhD) in I/O Psychology, Organizational Behavior, Statistics, Data Science, Economics, Behavioral Science, or a related research field Have experience with selection research, assessment validation, psychometrics, or recruiting funnel analytics Are comfortable working in the People Analytics tech stack and collaborating with data engineers Are proficient in SQL and Python/R, with experience in statistical analysis and machine learning Have experience with data visualization and can tell compelling stories with research findings Possess excellent communication skills and can influence stakeholders at all levels Thrive in ambiguity and can balance rigor with pragmatism Have a track record of challenging assumptions with data and changing long-held practices Can navigate sensitive topics diplomatically while maintaining analytical rigor Demonstrate intellectual humility and comfort with iterative discovery Use data to improve how organizations find, assess, and hire talent Preferred Qualifications: 5 +  years of experience in research, people analytics, or related quantitative fields with demonstrated research methodology expertise Background in recruiting analytics specifically (not just general analytics) Experience running interview or assessment validation studies Experience building self-service analytics tools or dashboards Previous experience in high-growth technology companies or AI/ML organizations Familiarity with network analysis, machine learning, or advanced statistical methods Experience with BigQuery and modern data stack tools Experience with Greenhouse, Gem, ModernLoop, or similar recruiting tools 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: $285,000 — $380,000 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: Huntsville, AL Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. What we can offer : A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success. We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value.  At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board.  We want our colleagues to grow with our global business.  That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits.  Come join the team! The Opportunity: When an LG refrigerator, washer or range breaks down in a customer's home, LG Electronics' Service organization makes sure it gets fixed. We're looking for a Field Service Planning Manager to lead the team that plans how that service runs: where we place technicians and partner repair shops, how we measure performance, and what we invest in next. You'll set the team's direction, lead a group of analysts, and turn their work into plans that leadership approves. For example: should we hire more LG technicians in a fast-growing region, or rely on partner repair shops there? How should we reward partners who fix things quickly and right the first time? You'll frame the question, guide the analysis, make the recommendation and see it through. The ideal candidate has led planning or analytics teams, is as comfortable reviewing a spreadsheet as presenting to executives and can turn a messy business question into a clear plan. Responsibilities: You'll lead the team, own the numbers Field Service runs on, and turn analysis into decisions. Here are examples of what that looks like: Lead and grow a team of analysts. Set priorities, assign projects and coach analysts to build their SQL, forecasting and presentation skills. Review their work, including AI-assisted analysis, so every number is checked and its logic can be explained before it reaches leadership. Set the team's strategy. Decide which problems the team tackles each year and turn them into projects with owners, timelines and measurable goals. Own the scorecard. Define the key numbers we run Field Service by, such as how long a repair takes, how often it's fixed on the first visit, how many requests are still waiting, and customer satisfaction. Make sure everyone calculates them the same way, and keep dashboards and reports that show them weekly and monthly. Turn data into better customer experiences. Combine repair records, call center data, customer surveys and comments, web data and sales data to find what frustrates customers, then recommend and track fixes. Plan the service network. Make sure every area we serve has an LG technician or partner repair shop that can reach customers in time. Use demand forecasts, technician availability and partner performance to decide where to add capacity, hire, or bring on new partners. Reduce refunds and replacements. Oversee cases where a product can't be repaired in time and is refunded or exchanged instead. Find the root causes and improve the process. Plan the year and the budget. Lead Field Service's annual operating plan and budget and track results against them. Brief leadership. Prepare business reviews and executive presentations, including monthly reports to LG headquarters in Korea. Summarize open issues and escalate them to the right teams and leaders. Improve how work gets done. Standardize processes and reports, document best practices, and replace manual reporting with automated and AI-assisted tools. Study the market. Benchmark competitors' service models and run SWOT analyses to find where LG can lead, for example how competitors schedule repair appointments. Education / Experience (Requirements): Bachelor's degree in business or a related field 4+ years of experience in strategic planning, business analytics or operations planning Experience leading a team or mentoring analysts, including setting priorities and reviewing their work Advanced Excel and PowerPoint skills, including building planning and budget models Hands-on experience with data analytics tools such as SQL and dashboards (Tableau, Power BI or Looker Studio), enough to guide analysts and check their work Sound judgment with AI-assisted analysis: you verify AI-generated results and can explain the logic and assumptions behind them Ability to explain complex topics simply to executives, in writing and in person Preferred Qualifications: Korean–English bilingual: this role communicates regularly with LG headquarters in Korea Experience in field service, after-sales service, logistics or other multi-site operations Experience with demand forecasting, capacity planning or service network design Experience designing incentive or performance programs for employees or partners Familiarity with SQL, cloud data platforms such as Google Cloud (BigQuery), or generative AI tools for analytics and automation #LI-TF1 Recruiting Range $100,000 — $113,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: Baku Workplace: remote 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. Qualifications & Skills: 4 to 7 years of experience as a DevOps/SRE/Platform engineer Extensive experience with Linux Extensive experience with container orchestration using Kubernetes Experience with Self-hosted Kubernetes clusters administration GCP or AWS cloud experience Experience with Infrastructure-as-Code tooling Experience with Python / Bash scripting Experience with observability tools Experience with CI/CD Excellent interpersonal communication skills Strong communication skills Strong analytical and problem-solving skills Responsibilities Manage Kubernetes clusters (self-hosted or cloud-based) Implement and maintenance infrastructure in the cloud Managing Linux servers, web servers and application servers Configuration management (puppet, ansible) Manage Infrastructure as a code (terraform/terragrunt) Troubleshooting Nice to Have: IT professional certifications are not required, but it will be a plus Kubernetes (CKA, CKS) Google Cloud Platform or AWS HashiCorp (Terraform Associate, Vault Associate) Linux (LFCS, LFCE, RHCSA, RHCE) Puppet or Ansible certifications 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.

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 Anthropic's Safeguards team builds the systems that detect and mitigate misuse of our AI models, from individual policy violations to sophisticated, coordinated attacks. A growing part of that work depends on lightweight detection methods trained on model internals, which let us identify harmful behavior cheaply and at scale. This work feeds directly into Anthropic's Responsible Scaling Policy commitments. We're looking for an engineer to own the infrastructure behind that research. This is the tooling our researchers rely on to run experiments, train detection methods, and select detections for launch. It sits between research and production: researchers depend on it for fast iteration, and our detection systems depend on it for reliable, correct results as our models continue to change. Running machine learning workloads at our scale often requires solving novel systems problems. You'll identify those problems and build the abstractions, pipelines, and tooling that keep the research loop fast as requirements shift underneath you. Strong candidates will have a track record of solving large-scale systems and data problems and will be excited to grow deep machine learning expertise alongside it. Key responsibilities Build and scale the infrastructure and data pipelines behind Safeguards machine learning research Own the training, evaluation, and scoring workflows researchers use, with a focus on cutting the time between an idea and a result Design tooling and interfaces, including libraries and command line tools, that researchers can use directly without needing to understand the systems underneath Build correctness and sanity checking into the stack, so results stay trustworthy as models and workloads evolve Take the highest-value research workflows from experiments to reliable, production-grade jobs Improve the throughput, cost, and reliability of large-scale inference and scoring workloads Partner closely with researchers and engineers across Safeguards to understand their workflows, anticipate how their needs will change, and design for that ahead of time Minimum qualifications Strong software engineering fundamentals and hands-on coding ability, with proficiency in Python Experience building and operating data-intensive or distributed systems in production Experience building tooling or infrastructure that other engineers or researchers use as a dependency Comfort working across the research-to-deployment pipeline, from exploratory experiments to production systems Ability to debug performance and correctness problems across an unfamiliar stack Strong written and verbal communication skills, and a collaborative approach to technical decisions Preferred qualifications Experience with high-performance, large-scale machine learning systems Familiarity with language modeling and transformers, including working with model internals Experience with machine learning framework internals, GPU or accelerator programming, or inference optimization Experience building experiment tracking, caching layers, or evaluation harnesses for research teams Experience with probes, interpretability, or classifier development Interest in the misuse risks of AI systems and a desire to work on mitigating them 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: Remote Workplace: remote At Offchain, we aren’t just building products: we’re leading a movement.    As pioneers in blockchain scalability and security, we're at the forefront of transforming how the world interacts with decentralized applications. We're laying the foundation that will define the next generation of digital commerce, governance, and human interaction. This involves tackling real-world challenges that come with scaling blockchain technology, without compromising on its core principles: decentralization, security and transparency.    At the center of this vision is our people. Our team is made up of thinkers and doers that embrace new challenges and seek solutions that push existing boundaries. If you’re energized by solving unprecedented problems, and believe in the role that decentralized systems will play in creating a more equitable digital future, then we want to hear from you.    Why Offchain?   Offchain is setting the pace for the entire Ethereum ecosystem. We built the Arbitrum stack that powers Arbitrum One, the most widely adopted Ethereum scaling solution that exists today.   Arbitrum’s ecosystem is undergoing tremendous growth with hundreds of projects and dApps on Arbitrum One today. Over 100 different teams have used Offchain technology to build their own Arbitrum chains. Major players in the space, Robinhood, BlackRock, Ethena Labs, Securitize, Aave, and Apechain are all using the Arbitrum stack.   Arbitrum’s thriving ecosystem wouldn’t exist without our advanced technology stack. Arbitrum, Prysm, ZeroDev. These aren’t just product names. These are tools that are actively reshaping what's possible on Ethereum and advancing its core infrastructure.   To top it all off? We’re backed by $124 million in funding. We’ve demonstrated consistent execution with billions in secured value, thousands of supported projects, and infrastructure processing millions of transactions seamlessly. The Role As part of the Product team at Offchain, you will work with leaders in the blockchain space to solve novel technical, economic, and social challenges. This is a senior player-coach role where you’ll lead client-facing technical strategy while staying hands-on with code, integrations, prototypes, and implementation details. You’ll work directly with leading application teams to improve their experience using Arbitrum technology, accelerate their growth, and help bring ambitious onchain products to market. You’ll also collaborate closely with engineering and third-party teams across the Arbitrum ecosystem, and company leaders including our CTO and Head of Product. What you'll do: Lead strategic client engagements by partnering directly with customers to develop bespoke solution concepts, guide onboarding and adoption, and build long-term partnerships that drive success on Arbitrum. Proactively identify, contribute to, and advocate for strategic partnerships with promising application teams, fostering an ecosystem of the most engaging on-chain experiences. Work directly with the Product team to relay and incorporate feedback from projects and the developer community into our roadmap, and help shape the go-to-market strategy of new products, especially for the developer audience. Work alongside our engineering and research teams to improve our overall platform, from core protocol customizations to application-layer improvements, based on our work with clients. Own developer success across leading application teams in the Arbitrum ecosystem, working alongside builders to solve challenges involved in using and integrating with Arbitrum technology, and accelerating their development. What you'll need: Direct experience working with fintech companies or financial institutions to improve, modernize, or transform core infrastructure. 8+ years of experience in technical roles, ideally across solutions engineering, software engineering, infrastructure, architecture, or similar functions. 4+ years of experience leading, managing, and developing high-performing technical teams. Strong experience designing scalable, reliable systems and translating complex technical requirements into practical implementation plans. A strong fundamental understanding of blockchain technology, including how decentralized networks, smart contracts, rollups, and onchain infrastructure operate. Proven experience working directly with clients in professional or commercial settings, with the ability to communicate technical concepts clearly, connect them to business objectives, and guide customers through complex implementation decisions. Passion for and understanding of blockchain technologies Strong collaboration skills with both internal and external teams Experience writing Rust, Solidity or Golang. Perks: Remote-first global workforce + NY office Professional reimbursement program (facilitates industry conference attendance, certifications, and more) Medical, dental & vision coverage (US + some other countries) 401k retirement plan + company match (US only) Wellness stipend Home office set up / ergonomic equipment program Attention Offchain Job Seekers: This role cannot be performed in California, or Colorado. Please be advised that there has been a rise in fraudulent recruiter activities, particularly within the Web3 space. If you would like to confirm whether someone is an Offchain employee or the legitimacy of an offer you received, please email jobs@offchainlabs.com At Offchain, we are committed to building a welcoming and supportive workplace for all employees, regardless of their background or identity. We strive to create an environment where everyone feels valued and has an equal opportunity to succeed and thrive. We encourage candidates from all walks of life to apply and join our team. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Remote - U.S. About Airship Airship is trusted by world’s leading brands such as Alaska Airlines, BBC and The Home Depot to drive revenue growth and customer loyalty with exceptional cross-channel customer experiences. Today, brands are challenged to deliver seamless, unified customer experiences across a fragmented array of channels and devices— apps, websites, email, SMS, wallets and more. Airship’s no-code, AI-powered platform was designed with non-technical, growth-focused teams in mind, making it easy to create, test and orchestrate hyper-personalized experiences across all channels. With the ability to easily enrich customer data and rapidly launch growth experiments, Airship enables brands to deliver consistent, meaningful interactions that accelerate conversion and foster deeper customer relationships. We invite you to be part of our journey in building products and delivering services that touch millions of customers around the world every day. To learn more about us, visit www.airship.com , read our blog or follow us on LinkedIn. About the Role Airship is looking for an Information Security Architect to own the design and evolution of our security architecture across cloud infrastructure, applications, and the CI/CD pipeline. You'll be Airship's technical authority on secure-by-design systems, partnering with Engineering, Platform, and Product teams to embed security into every phase of the development lifecycle. This is a hands-on architecture role. You'll conduct threat modeling, perform architecture reviews, define security standards and reference architectures, and drive secure design patterns across Airship's GCP-based environment. You'll also evaluate emerging technologies, including AI and generative AI platforms, to identify security risks and define secure adoption patterns. Why This Role Depth over breadth. You'll focus on what matters most: securing Airship's cloud infrastructure and CI/CD pipelines, conducting threat modeling, and shaping architecture decisions GCP at the core. Airship runs on Google Cloud Platform. You'll work deeply with GCP-native security capabilities, defining guardrails, segmentation patterns, logging standards, and workload protection across the platform Secure the pipeline, secure the product. CI/CD pipeline security is a primary focus. You'll design and implement controls that protect the software delivery lifecycle from code commit through production deployment AI-forward security. You'll evaluate and secure AI and GenAI platforms, define usage patterns for AI-assisted development tools, and help establish security architecture for Airship's AI-enabled features Fully remote, flexible culture. Airship's Digital First approach means flexible, remote work is the norm, with a team that collaborates across timezones and geographies every day Room to grow. This role is a path toward senior security architecture, security leadership, or deeper cloud security specialization What You'll Do* Design, develop, and maintain Airship's security architecture, including reference architectures, secure design patterns, and technical security standards Perform security architecture reviews for enterprise applications, cloud platforms, infrastructure services, and technology integrations, ensuring alignment with security standards and risk posture Conduct threat modeling and technical risk assessments to identify security gaps and recommend mitigation strategies Define and implement cloud security guardrails, network segmentation patterns, logging standards, and access control models across Airship's GCP environment Partner with Engineering and DevOps teams to integrate security controls into the CI/CD pipeline, including secure build processes, container security, Infrastructure-as-Code (IaC) security, secrets management, and software supply chain integrity Evaluate proposed architecture and design changes from engineering teams, analyze their security impact, and make recommendations Assess emerging technologies (including AI platforms, generative AI tools, and AI-assisted development technologies) to identify security risks and define secure usage patterns Develop security guidance for API security, application authentication (SAML, OAuth2), encryption, and identity and access management Research security trends, emerging attack methods, and new classes of vulnerabilities to proactively reduce the risk of breach Leverage AI-enabled tools and automation to improve security analysis, architecture review workflows, and threat detection Partner with security tooling teams to evaluate enterprise security tools for architectural fit, integration models, and long-term scalability Participate in the Security on-call rotation and respond to incidents Provide technical security guidance for complex customer inquiries that require deep architectural expertise Mentor colleagues across the organization on secure design principles and security best practices *Duties described are not a comprehensive list. Additional tasks may be assigned from time to time, and responsibilities may be amended at any time at the sole discretion of the Employer. What We're Looking For 8+ years of experience in information security, security architecture, cloud security engineering, or a related technical discipline Deep expertise in Google Cloud Platform (GCP) security, including native security capabilities, cloud architecture patterns, and workload protection Hands-on experience securing CI/CD pipelines, including container security, IaC security, secrets management, and DevSecOps practices Experience conducting threat modeling for complex, distributed systems using standard methodologies Experience performing security architecture and design reviews for cloud-native applications and infrastructure Proficiency in at least one scripting language (e.g., Python, Java, Bash/shell) Working knowledge of network security concepts, including segmentation, Zero Trust principles, firewalls, and access control models Working knowledge of identity and access management concepts, including SSO, MFA, federation, and least-privilege access Strong understanding of application security, including OWASP, API security, secure SDLC practices, and authentication protocols (SAML, OAuth2) Working knowledge of how to protect and administer macOS, Linux, and Windows systems Ability to translate security requirements into practical, scalable technical solutions Strong written and verbal communication skills, with a talent for explaining complex security concepts to both technical and non-technical audiences Experience experimenting with AI tools in your personal or professional life We'd Be Delighted If You Also Have One or more industry certifications (e.g., CISSP, CCSP, Google Cloud Professional Security Engineer, OSCP, GIAC certifications) Experience with enterprise security technologies such as Splunk, CrowdStrike, Rapid7, Vanta, Okta, and DLP solutions Familiarity with AI security concepts, secure AI platform adoption, and AI risk frameworks (e.g., NIST AI RMF, ISO 42001) Experience developing security reference architectures, design patterns, and technical standards documentation Experience with Kubernetes security, container orchestration, and cloud-native security tooling (CSPM, CWPP) Knowledge of data security practices including encryption, data classification, DLP, and key management Experience evaluating third-party technologies and conducting technical security assessments for vendor platforms Work Location & Travel Requirements Airship’s ‘Digital First’ approach to work means that for the majority of our roles, work can be performed remotely, either some or most of the time. Airship believes that flexible work contributes to a more productive and more equitable work environment, and that Airshippers are able to collaborate, innovate, and support one another across different locations and timezones. Some roles may require that employees perform their work from a specific location to support business activities, and/or be within proximity to an Airship office location or customer or partner locations, while other roles can be performed 100% remotely. This position is fully remote and may require up to 10% travel based on business needs or as requested by your manager. Compensation Starting Pay Range: $130,000-$160,000 USD per year This is a good faith estimate of the base compensation we reasonably expect to pay for this position upon hire. Actual starting pay may vary based on factors such as relevant skills, work experience, market demands, and location. All offers include stock options so employees have the opportunity to benefit from Airship’s success. Benefits & Perks Competitive medical, dental, and vision insurance options for you and your dependents Flexible time off, company paid holidays, paid parental leave, and paid volunteer time off Support for your overall wellbeing with mental health and wellness resources Employer-subsidized life insurance as well as short-term and long-term disability A digital-first work environment and a monthly stipend to support remote work Mentorship and growth opportunities to build skills and accelerate professional development And more! We use artificial intelligence tools in our recruitment process as decision-support tools only. Airship's People Operations team reviews all AI-generated scores and recommendations before making any hiring determination. No applicant is rejected solely on the basis of an AI-generated output. Depending on your location, you may have the right to request human review of any AI-assisted employment decision or to opt out of AI evaluation. To make a request or learn more about how we use AI in hiring, contact privacy@airship.com or visit airship.com/legal . California residents can view the CCPA disclosure notice here . ** Please Note: To ensure the security of your personal information, Airship will only contact candidates through email addresses ending with “@airship.com”. Hiring Commitment Airship is committed to fostering a diverse work environment and providing equal employment opportunities to all applicants and employees. We welcome your application and our hiring and employment decisions are made irrespective of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. In alignment with our commitment to equal opportunity, Airship will consider for employment all qualified applicants, including those with criminal histories, in a way that adheres to the principles of fairness and the requirements of local Fair Chance laws, where applicable. By submitting this application, I affirm that the facts set forth in it are true and complete to the best of my knowledge. I understand that if I am employed, false statements, omissions, or misleading information given in my application, interview(s), or in a background check may result in dismissal.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are looking for growth engineers to join our growth team. This key role will help drive user acquisition, engagement, retention, and monetization through data-driven strategies and technical implementations. At Anthropic, we're not just building AI tools; we're reimagining how AI can enhance and expand its user base! As a member of the growth team, you will have a unique opportunity to shape our growth strategy. You will work with a cross-functional team of engineers, data scientists, marketers, and product managers to design, implement, and optimize growth initiatives that scale our AI-powered tools and maximize their impact. Key responsibilities Develop and implement technical solutions to support user acquisition, activation, retention, and revenue growth Design and execute A/B tests and experiments to optimize user onboarding, feature adoption, subscription conversion, and overall product experience Collaborate with product and marketing teams to identify growth opportunities and translate them into technical requirements Minimum qualifications Experience working on user growth (acquisition, activation, retention, monetization) or have worked in a revenue focused organization like ads. Have experience full-stack development (web/React and backend), and experience with data analysis and experimentation frameworks Take a data-driven approach to problem-solving, with a keen eye for identifying patterns and opportunities in user behavior and metrics Are passionate about the potential of AI to reach and benefit a wide audience, and eager to tackle challenges in scaling AI products Thrive in a fast-paced, collaborative environment and enjoy working closely with cross-functional partners and teammates Preferred qualifications 5+ years of experience as a software engineer Have ideas for experiments to run to drive user growth or monetization Able to dive into data and identify opportunities Possess a vision for the future of AI product growth and a drive to make that vision a reality The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - United Kingdom 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. . About the job The Twilio Presales Engineer is both highly technical and a skilled executive relationship builder. They are comfortable showing an engaging communications experience to a CEO or sketching out a flow on a whiteboard with technical decision makers. This position is needed to deliver the technical win and product fit to our customers across the EMEA region. A Twilio Presales Engineer is an experienced pre-sales engineer who builds customer trust in Twilio’s Customer Engagement Platform, resulting in customer success at our largest, most strategic accounts. The Presales Engineer leads the technical pre-sales relationship, proposes technical architectures, demonstrates the product, anticipates concerns, and provides creative solutions to our customers' most complex communications and customer engagement challenges and needs. Responsibilities In this role as Presales Engineer, you’ll: Work alongside Twilio New business Account Executives, other Twilio Solutions Engineers, Professional Services and Twilio Partners as needed through the pre-sales process, to strategise and plan for deal success. Build a successful business partnership with Twilio Account Executives focussing on great business discovery within prospects and communicating the business value of Twilio solutions. Take part alongside Account Executives in qualification, discovery, demonstrations, Proof-of-Concept, RFP response, design documentation, technical presentations and enablement sessions during the sales cycle. Develop subject matter expertise on the customer needs and requirements, and Twilio’s best in class communications technology. Lead technical discovery sessions with our customers to uncover their needs and challenges to articulate Twilio’s ability to enable their success and solve their challenges. Build and present powerful and complex presentations and product demos to help showcase the capabilities of Twilio Communications Products. Form an understanding of a customers business and help solve problems they’ve identified as well as uncover areas of opportunity. Build trusted advisor relationships at the highest levels of our customers and present creative new solutions and architectures that enable and inspire innovation Contribute to the wider Twilio Solutions Engineer community by sharing knowledge, building demo assets and reusable presentations. Qualifications Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also 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! Twilio is looking for a Presales Engineer with a strong desire to work in a technical pre-sales role. You will need: Required: At least 3 years in a technical pre-sales role in CPaaS, SaaS or Telecom space Solid understanding and experience of the sales cycle and the role of a pre-sales engineer Solid understanding of voice protocols (VoIP), SIP implementations or messaging APIs Creativity: you’ll need to be a problem solver, able to collaborate with others to drive success. An engaging storyteller: you can gain audience confidence and communicate complex topics to multiple levels of technical and non-technical audience. Ability to ask the right questions to build a deep understanding of a customers needs and guide them to a technical solution using Twilio Communications products Knowledge of public cloud platforms (Amazon Web Services, Google Cloud, Microsoft Azure) and cloud application architectures Experience writing code in one or more of the following areas, multiple areas of experience would be advantageous: Backend (Java, C#, Node.js, Python or PHP) Web (JS, React) Experience with designing and consuming REST APIs Desired: Hands on experience with with backend development (Java, C#, Node.js, Python, PHP, etc) Familiarity with Mobile development, especially for iOS and Android. Previous experience in Telecommunications, SIP, WebRTC, or Contact Centre in a technical role Experience with automation, cloud-native development and skills with a major cloud platform. Experience with sales methodologies Location This role will be remotely based in the UK or Ireland We prioritise connection and opportunities to build relationships with our customers and each other. For this role, approximately 35% travel is anticipated to help you connect in-person in a meaningful way. What We Offer There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Los Angeles, United States; Orange, United States; California City, United States Join a Team That's Generating More Leads Than We Can Handle Our Hard Money expert, Vladimir Isperov , has become one of the fastest-growing voices in the private lending space on social media. His educational content is attracting an incredible number of borrowers and investors every day—and the volume of incoming leads continues to grow. At LBC Mortgage , we're looking for motivated Mortgage Loan Officers who are ready to take advantage of a steady flow of company-generated leads. If you're tired of spending your time prospecting and want to focus on what you do best—building relationships and closing loans—we want to hear from you. What You'll Do Work with qualified company-provided leads generated through our marketing and social media campaigns. Build relationships with borrowers and understand their financing needs. Guide clients through the mortgage and hard money loan process from initial consultation to closing. Educate clients on available loan products and financing options. Maintain consistent follow-up with prospects and existing clients. Collaborate closely with processors, underwriters, and the operations team to ensure a smooth customer experience. Achieve monthly production goals while delivering exceptional customer service. What We're Looking For Active Mortgage Loan Originator (MLO) license. Previous experience originating residential mortgage loans or hard money loans. Strong sales, communication, and relationship-building skills. Confidence speaking with clients over the phone and converting opportunities into funded loans. Self-motivated, goal-oriented, and driven to succeed. Ability to work full-time from our North Hollywood office. Bilingual candidates are encouraged to apply. What We Offer A consistent pipeline of company-generated leads —no cold prospecting required. Competitive compensation with uncapped earning potential. Full operational support from experienced processors and underwriting staff. Modern CRM, technology, and marketing resources. Career growth opportunities within one of the fastest-growing mortgage companies. A collaborative, energetic, and supportive office environment. Ready to Close More Loans? If you're looking for an opportunity where the leads are already coming in and all you need to do is build relationships and close deals, we'd love to meet you. Apply today and become part of the LBC Mortgage team!

Location: Berlin Office; London Office Workplace: Hybrid About The Role Taktile empowers financial institutions to transform into truly AI-native organizations. We’re growing rapidly with enterprise customers across banks and insurance companies, and we’re looking for a Senior Forward Deployed Engineer. If you're passionate about tech and AI, stay up to date on the latest AI developments, and have extensive experience with Python, SQL, REST APIs, you'll thrive here. What You'll Do as Forward Deployed Engineer - Lead complex AI-driven Taktile deployments in production. You own technical delivery across multiple deployments, from scoping high-impact Agentic AI use cases to stable production. - Apply your technical expertise, problem-solving skills and creativity to help organizations address real-world challenges. Your day could include designing solution architectures, developing decision logic and deploying production-grade Generative AI agents, or aligning with key customer stakeholders - all while ensuring an outstanding experience and rapid time to value for Taktile’s customers. - You effectively scope work, sequence delivery, and proactively remove blockers, while making thoughtful trade-offs between scope, speed, and quality to ensure successful and timely project delivery. - Partner with Taktile’s product management team to turn your understanding of customer needs into actionable product insights, directly influencing the evolution of Taktile’s product roadmap. - Develop reusable resources, best practices, and tools to share your expertise and help scale the forward deployed engineering function across the organization. About You - You bring 2+ years of engineering or technical deployment experience that includes customer-facing work. - You have strong technical background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science. - You write and review production-grade Python and SQL, and have strong command of REST API design and integrations. - You excel at breaking down complex problems and making quick, well-informed decisions even under pressure. - You build strong relationships with both technical and business stakeholders at all levels, driven by curiosity and a customer-centric mindset that helps you understand their needs and solve their challenges. - You're collaborative, curious, and low-ego- you work well across product, engineering, and GTM teams, and you bring a genuine desire to understand customers' businesses. - You are open to a hybrid work model and can work from our Berlin or London office at least three days per week. Ideal Qualifications (but not required) - You have 1+ years of experience as a Forward Deployed Engineer, Solution Engineer, Implementation Specialist or an equivalent position within a B2B SaaS company. - You have experience in building AI applications within financial services - You have experience in applying and optimizing statistical and machine learning models to solve business problems. - You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). What We Offer - Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. - Make an impact and meaningfully shape an early-stage company. - Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. - Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. - Receive a top-of-market equity and cash compensation package. - Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. - Use the equipment of your choice including meaningful home office set-up. Our Stance - We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. - We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com https://taktile.com. About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile ("we" or "us") is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)). Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates' data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. California residents have additional rights under the CCPA, including the right to know, delete, and correct personal information. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile's Applicant Privacy Policy https://taktile.com/legal/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com.

Location: ES - Barcelona, Spain Scopely is looking for a Production Director – Seasonal Content to join our MONOPOLY GO! team. This role is based from our Barcelona hub on a hybrid basis (3 days per week). MONOPOLY GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. At Scopely, we care deeply about what we do and strive to inspire play every day—whether through our work alongside exceptional teammates or through unforgettable experiences for millions of players. We're a global team of game makers building one of the world's most successful live-service games. As the Production Director – Seasonal Content, you'll own the operational health, planning, and execution behind MONOPOLY GO!'s seasonal content portfolio. You'll partner across Art, Design, Product, Live Operations, Licensing, and Content teams to ensure every season delivers exceptional quality, creative novelty, operational excellence, and measurable player impact. Success in this role goes beyond shipping content on schedule. You'll be accountable for the health of the seasonal ecosystem—including content capacity, creative ambition, production predictability, IP integration, execution quality, and the cross-functional alignment required to consistently deliver industry-leading live-service seasons. This role requires an exceptional balance of strategic leadership and tactical execution. You'll be equally comfortable shaping long-term organizational strategy with senior leadership as you are rolling up your sleeves with producers, artists, designers, and engineers to solve production challenges, unblock teams, and improve execution day-to-day. What You'll Do Lead production for the Seasonal Content organization, overseeing the planning, execution, and successful delivery of every MONOPOLY GO! season. Own the operational health of the seasonal portfolio, balancing player experience, content quality, novelty, production predictability, resource utilization, and business objectives—not simply delivery against schedule. Drive the long-term evolution of the seasonal content pipeline, continuously improving how art, design, narrative, gameplay content, rewards, licensed IP, localization, and live operations move from concept through launch. Own content roadmap planning, art capacity planning, outsourcing strategy, and resource forecasting to maximize both creative ambition and sustainable execution. Partner closely with Product, Art, Design, Live Operations, Marketing, and Licensing leadership to align priorities across multiple concurrent seasonal initiatives. Operate comfortably at both the executive and production floor levels—providing strategic direction while remaining actively involved in milestone reviews, dependency management, issue resolution, production planning, and critical decision making. Be willing to get "in the weeds" with producers and development teams to remove blockers, resolve ambiguity, improve workflows, and ensure teams have what they need to succeed. Lead cross-functional planning for major seasonal launches, proactively identifying execution risks, staffing challenges, dependency conflicts, and operational gaps before they impact delivery. Drive executive-level visibility through clear reporting, production health metrics, risk assessments, and actionable recommendations. Champion continuous improvement across production methodologies, governance, tooling, AI adoption, and content development workflows. Lead organizational change initiatives that improve how teams plan, collaborate, and execute, ensuring new processes are successfully adopted across multiple disciplines. Serve as a diplomatic leader who builds trust across diverse teams, navigates competing priorities with empathy, and facilitates alignment during high-pressure or ambiguous situations. Mentor Production Managers and Producers while raising the overall maturity and effectiveness of production across the Seasonal Content organization. What We're Looking For Extensive experience leading production within large-scale live-service game development environments. Deep expertise managing content-heavy production pipelines, including art production, outsourcing, IP development, localization, approvals, and live seasonal releases. Demonstrated success operating as a Production Director or equivalent leader responsible for both organizational strategy and execution. Proven ability to seamlessly shift between strategic leadership and hands-on production management, remaining deeply connected to execution while guiding long-term organizational direction. Strong expertise in production planning, capacity planning, portfolio management, dependency mapping, forecasting, and operational excellence. Exceptional understanding of creative development pipelines and how to optimize art and content production without sacrificing quality or innovation. Outstanding diplomacy and stakeholder management skills, with the ability to influence senior leaders, resolve conflict constructively, and build alignment across diverse disciplines without relying on direct authority. Experience leading organizations through meaningful operational change, including introducing new production processes, organizational structures, tools, or ways of working while driving strong adoption. Excellent judgment balancing player experience, creative ambition, technical constraints, production risk, and business priorities. Outstanding communication, organizational leadership, and relationship-building skills. Comfortable operating in fast-paced environments with rapidly evolving priorities and complex cross-functional organizations. Passion for building high-performing teams, enabling creative excellence, and delivering unforgettable seasonal experiences at world-class scale. AI Capability & Readiness We believe AI will fundamentally transform how content organizations operate. In this role, you'll be expected to actively incorporate AI into production workflows to improve planning, asset tracking, documentation, communication, forecasting, content review, dependency management, and operational decision-making. You'll champion thoughtful AI adoption across the Seasonal Content organization, helping teams work faster, make better decisions, and increase creative capacity without compromising quality. We value leaders who are curious, experimental, and capable of driving organizational change as AI reshapes game development. Bonus Points Experience working on category-leading live service games. Experience within mobile free-to-play game development. Experience leading globally distributed development teams. Experience scaling production organizations during periods of rapid growth. Familiarity with modern AI productivity tools such as Claude, Codex, Cursor, or similar, and experience applying them to production workflows. Experience evolving production operating models, governance frameworks, or portfolio planning processes. At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! 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: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for an experienced growth engineering leader to build and lead our Growth Engineering team as founding members of our growth initiative. This key leadership role requires deep expertise in driving user acquisition, engagement, and retention through data-driven strategies and technical implementations. Having led growth engineering teams before, you'll be responsible for identifying and executing on growth opportunities across our product surface area, developing experimentation frameworks, and scaling our impact through technical solutions. Key responsibilities Build and lead a high-performing team of growth engineers focused on user acquisition, activation, and retention Define and execute the technical strategy for growth initiatives, including A/B testing frameworks and measurement systems Create clarity and direction for the team in a fast-moving, ambiguous environment Collaborate cross-functionally with product, marketing, and data science teams to identify and prioritize growth opportunities Take an inclusive, equitable approach to hiring and coaching technical talent Drive the development of scalable systems for experimentation, personalization, and optimization Minimum qualifications Strong technical background in full-stack development with proven success building and shipping growth initiatives Track record of leading teams in growth experimentation, A/B testing, and data-driven product optimization Experience recruiting, scaling, and retaining engineering talent in a high-growth environment Excellent leadership and communication skills, with ability to work effectively across functions Demonstrated success in building a culture of belonging and engineering excellence Preferred qualifications 5+ years of experience as an product minded engineering manager, with at least 2 years leading growth engineering teams Experience applying machine learning and AI technologies to growth challenges Demonstrated success implementing product-led growth strategies and viral loops at scale Expertise in modern web development stacks and experimentation frameworks Experience with user segmentation and cohort analysis tools Startup experience, particularly in scaling products from zero to one 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: $405,000 — $485,000 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: Montreal Workplace: remote ABOUT YOU  We are looking for a Site Reliability Engineer (Monetization) who is pragmatic, product-minded, and equally comfortable writing code and running production systems to join our Infrastructure department's SRE team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to own the application-level infrastructure and reliability of a high-traffic commerce domain end to end - from deploy pipelines and Kubernetes manifests to SLOs, capacity planning, and production readiness. Strong Kubernetes, observability, and software engineering skills are essential, along with experience in operating production services in a cloud environment (GCP/GKE or comparable) and partnering closely with product development teams. The ability to hold a dual perspective - understanding both how developers ship features and what infrastructure needs to stay reliable - and to bring the reliability lens into design decisions early will be key to your success in this role. This is a hybrid embedded role: you remain part of the SRE organization (practices, standards, duty rotation) while being functionally embedded into the Monetization product domain. You'll build long-term working relationships with the domain's engineering teams, own a meaningful share of their application infrastructure execution, and co-author the reliability practices used company-wide. If you're passionate about making complex distributed systems boringly reliable and love building the commerce and monetization backbone that lets game developers around the world get paid, we would love to hear from you! ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. 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 Own the application-level infrastructure of the Monetization domain: Helm charts, Terraform configurations, Kubernetes deployments, runtime configuration, and service-level networking and integrations Own the domain's observability: design and implement SLOs/SLIs, monitors, alerts, and dashboards for critical services on Datadog and OpenTelemetry-based tooling Help to set up and evolve CI/CD pipelines for domain services (GitLab CI, GitHub Actions), including deploy and rollback automation Perform capacity planning and performance tuning ahead of expected load - product launches, sales events, and regional rollouts - including load testing and performance regression investigation Run Production Readiness Reviews for new services and major changes; define and enforce what "production-ready" means for the domain Support domain incident response: assist with deep investigation of complex incidents, contribute to post-mortems, drive follow-up reliability improvements, and maintain runbooks Build domain-specific automation that reduces operational toil: runbook automation, deploy helpers, recurring operational scripts Maintain and drive a forward-looking reliability roadmap for the domain together with product engineering leads Participate in product team planning, refinements, and architecture reviews, bringing the reliability perspective before design decisions become expensive to change Co-author company-wide SLO/SLI, capacity, and operational standards together with the broader SRE team; contribute improvements directly to shared SRE-operated subsystems Participate in the SRE duty rotation, supporting developers across the company Qualifications & Skills 3+ years of proven SRE, DevOps, or platform engineering experience: on-call or incident response duty, SLO/monitoring ownership, deploy pipeline and infrastructure work for production services Software development background: you have built and shipped backend services, not only operated them - comfortable reading application code during an investigation and writing production-quality automation in at least one language (e.g., Go, PHP) Hands-on Kubernetes experience: Helm, manifests, deploy strategies, debugging application-level performance and networking issues (GKE or another managed Kubernetes) Solid observability practice: building monitors, dashboards, and SLOs/SLIs on a modern platform (Datadog preferred; Prometheus/Grafana experience also relevant), familiarity with OpenTelemetry Infrastructure as Code exposure (Terraform/Terragrunt) for collaboration with platform teams GCP experience (IAM, networking, managed services) Experience building and maintaining CI/CD pipelines (GitLab CI and/or GitHub Actions) Programming/scripting proficiency sufficient to build automation and tooling (e.g., Python, Go, or Bash) Practical experience with incident response, post-mortems, and driving reliability improvements from incidents Strong collaboration and communication skills — this role works embedded with product development teams daily Experience in payments, fintech, e-commerce, or gaming — high-traffic transactional systems Nice to Have: Kubernetes certifications Google Cloud Platform certifications HashiCorp certifications 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 Site Reliability Engineer (Monetization) position, 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 Handling infrastructure that processes sensitive financial transactions 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. Salary varies depending on experience level and location.

Location: Mercer Island, USA Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in many broader domains. As an Engineering Manager, you will gain organizational alignment by building a strong engineering vision and offering creative solutions to organizational design. You’ll also serve as a mentor for a team of engineers, overseeing performance management, growth opportunities, and accountability. VALORANT is Riot's take on a character-based tactical shooter (for more info on VALORANT click here !). As a Manager, Software Engineering (Services) in VALORANT’s Core Services team, you will lead a team of engineers responsible for the core game services that power VALORANT, a global live-service game with millions of daily active Players. You will lead development of new services, drive evergreen improvements to existing services, improve standards and frameworks to improve services development across VALORANT, and improve the tools and pipelines used to load test, ship, and operate those services. You will work closely with technical teams in Tencent to improve services delivery and operations in China, closing divergences in developer experience and platform behavior between Tencent and Riot regions. You will report to the Senior Manager, Software Engineering (Platform Engineering) for the VALORANT Foundations area. Responsibilities: Manage a team of 5-10 Software Engineers across experience levels. Ensure VALORANT Players receive a consistently great services experience in Riot and Tencent regions. Serve as a hands-on engineering leader, comfortable contributing across all phases of the product lifecycle, including implementation. Develop a technical vision for your team, working with production and product partners to ensure consistency with overall product goals. Communicate this vision to your team clearly. Advocate for Players, your team, and internal development customers when deciding what to build and why. Coordinate with other teams across Riot and Tencent working on Services technology. Ensure high technical quality of what your team produces. Establish mechanisms to ensure your engineers have room to invent while maintaining a technical backstop for them. Foster a collaborative, challenging, and satisfying environment for your development team. Find and surface issues, opportunities, and address them head-on. Celebrate wins. Coach and develop your engineering team to grow in their roles, develop technical skills, and improve their effectiveness. Champion and model Riot’s values, setting the tone for your team and peers. Participate in your team’s on-call rotation. Required Qualifications: 5+ years professional experience as a software engineer working in services development roles. 2+ years experience directly leading an engineering team as an Engineering Manager. Professional experience driving technical direction and influencing architecture within a team. Expertise with C#, Java, Golang, or similar language(s). Professional experience with Lean or Agile development processes (Scrum, Kanban, etc). Professional experience working with cloud computing and cloud technologies. Professional experience building large-scale external customer-facing backend systems, game services, or cloud platforms. Desired Qualifications: Fluent in written and spoken Mandarin Chinese and English; comfortable communicating technically in both languages. Professional or academic experience working with C++. For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about the experiences of players, this could be the role for you! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the team Anthropic's Life Sciences team is building a world-class research group focused on making fundamental biological discoveries. The team combines cutting-edge AI with hands-on biological research, positioning Anthropic at the forefront of AI-accelerated scientific discovery. About the role We're seeking an exceptional Research Scientist to join the team. This role combines deep computational biology expertise with frontier AI capabilities, positioning Anthropic at the forefront of AI-driven scientific discovery. As one of the first computational members of this Life Sciences research group, you'll work on a high-impact team that operates at the intersection of computational and experimental biology. You'll bring broad computational biology experience to bear across the team's projects, driving discoveries from large-scale computational analysis of biological data through to results our experimental scientists can test, and moving flexibly between problems as the science demands. You'll have substantial access to Claude and you'll help establish how computational biology operates at Anthropic. This role offers a unique opportunity to shape how AI transforms biological research. You'll work with some of the world's best AI researchers while tackling problems that matter deeply for scientific understanding and biomedicine. If you're excited about using your computational expertise to make fundamental biological discoveries and guide the development of transformative AI systems, we want to hear from you. Key responsibilities Build, run, and maintain the analysis pipelines that back the team's experimental programs: sequence analysis at petabyte scale, structural bioinformatics, phylogenetic and comparative genomics, design and analysis of high-throughput functional screens, biological sequence modeling, etc. Partner directly with experimental biologists to design experiments that produce high-quality data, and turn results around fast enough to immediately inform the next experiment Draw on the literature and curated biological knowledge bases alongside primary data to generate and prioritize hypotheses for experimental follow-up Stand up and maintain the team's computational infrastructure: data ingestion, workflow orchestration, internal databases, and the interfaces that make all of it accessible to both researchers and AI agents Use Claude and our internal agent frameworks heavily in your own work, and feed what you learn back to the model-improvement and product teams as evaluations, datasets, and concrete failure cases Pick up analyses across projects as priorities shift; we're looking for breadth and flexibility over a single deep specialty Minimum qualifications Have a PhD in computational biology, bioinformatics, genomics, biophysics, machine learning, computer science, or a related quantitative or biological field, or equivalent industry research experience Have a track record of computational biology research you have led end to end, from question to result, with evidence of impact (for example publications, preprints, released datasets or tools, or research that changed a program's direction) Have demonstrated breadth across multiple areas of computational biology Are proficient in one or more programming languages used in scientific computing and comfortable working on large datasets in Linux and cloud compute environments Can take an ambiguous biological question, scope the analysis, and produce a result an experimentalist can act on Communicate computational results clearly to both biologists and ML researchers Preferred qualifications Are comfortable navigating ambiguity and developing solutions in rapidly evolving research environments Are results-oriented, with a bias towards flexibility and impact Hands-on experience in experimental biology, or a track record of designing experiments side by side with experimentalists Experience building tools, pipelines, or agentic systems on top of LLMs, or training models on biological sequence data Deep expertise in one or two areas of computational biology (for example structural biology, metagenomics, single-cell genomics, or protein design) on top of the required breadth 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: $300,000 — $320,000 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: New York DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are building a new systematic, mid-frequency trading business at DRW. The strategy combines diverse data, modern machine learning, and high-performance software systems to identify and trade opportunities at scale. This is an early-stage effort within an established trading firm: the team has the opportunity to design its technology and research platform from the ground up while benefiting from DRW's capital, data, compute infrastructure, market access, and institutional experience. We are a small, fast-moving team of quantitative researchers and developers. Engineers are not a support function—they are central to how we conduct research, put strategies into production, and build a lasting competitive advantage. About the Role: As a Quantitative Developer / Research Engineer, you will be an early member of the team with meaningful ownership of its systems, research tooling, and engineering practices. You will work closely with experienced researchers and trading-system engineers across the team and the firm, combining substantial autonomy with strong technical mentorship. You will work at the intersection of quantitative research and software engineering, turning research ideas into reliable systems that trade. The ideal candidate combines strong software engineering fundamentals with an interest in quantitative research, machine learning, and data-intensive systems. This role will require you being in the NY office 5 days per week. You will: Design and build the core research and trading platform, including data pipelines, backtesting and simulation frameworks, portfolio and execution tooling, and research APIs Work closely with quantitative researchers to implement studies, test hypotheses, and translate promising ideas into robust production systems Develop and productionize statistical and machine learning models, owning the workflow from feature generation and training through backtesting, deployment, and live monitoring Build reliable data infrastructure for large historical and real-time datasets, with an emphasis on point-in-time correctness, reproducibility, performance, and ease of use Improve the performance and scalability of computationally intensive research and production workloads Contribute to foundational architecture and engineering decisions, working with experienced trading-system engineers to establish the development practices, testing standards, and operational processes the team will use as it grows Take systems and strategies from prototype to production and remain accountable for their reliability once they are live Because the team is still early, the scope is broad and the feedback loop is short. You will have the opportunity to take on meaningful responsibility early, while learning from people with deep experience in quantitative research, trading-system architecture, and production trading. What You Bring: A bachelor's, master's, or PhD degree in computer science, computer engineering, or another technical field At least two years of experience developing production software, primarily in Python and/or C++, with the ability and willingness to work across languages when needed Strong computer science fundamentals and sound instincts in software design, debugging, testing, and performance analysis The ability to enter an unfamiliar system, develop a clear mental model of it, and identify practical ways to improve its reliability, simplicity, and performance Fluency in a UNIX/Linux environment and a working understanding of operating systems, concurrency, networking, and system performance A track record of scoping and delivering production systems in fast-moving or ambiguous environments High ownership, good judgment, and a bias toward action—you identify risks early, reduce unnecessary complexity, and take pride in building systems that others rely on Clear communication and a collaborative working style, particularly when working across research and engineering disciplines Experience in trading or finance is not required. We value strong engineering and problem-solving ability and will provide the domain-specific training needed to succeed. Nice to Have: Experience developing deep learning systems with PyTorch Experience with GPU computing, kernel development, distributed training, or performance optimization Hands-on experience building and operating machine learning or data pipelines in production Experience developing large-scale, concurrent, high-throughput, or performance-sensitive systems A strong foundation in mathematics, statistics, optimization, or machine learning Experience building tools and infrastructure for quantitative researchers, data scientists, or similarly technical users Why This Role: Build from an early stage — Help shape a new systematic trading business, with broad scope, short feedback loops, direct influence over how the team operates, and the opportunity to share in its success Autonomy with mentorship — Make meaningful technical decisions while learning from experienced researchers and trading-system engineers across the team and the firm Broad, end-to-end ownership — Take systems from research and development through deployment and live trading, working across software, data, machine learning, and financial markets AI-native engineering — Work in an environment where AI-assisted coding, testing and research are deeply embedded in the development workflow The annual base salary range for this position is $175,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-SK1]

Location: United States MEMX is seeking a Software Engineer with a strong passion for data and experience in business intelligence tools to join our regulatory software engineering team. In this role, you will design, develop, and maintain data pipelines, integrate data from various sources, and transform it into meaningful insights. This role requires a combination of strong Java programming skills and experience with Business Intelligence (BI) tools, data processing, and data integration. MEMX currently has a U.S. presence in these states: California, Colorado, Connecticut, Delaware, Florida, Georgia, Illinois, Kansas, Maine, Maryland, Michigan, Nevada, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, & Utah. *If you live outside of the above states, please list in your application and our team will evaluate. What You'll Do Design, build, and optimize data pipelines and workflows to process, clean, and transform data using Java Work with various data sources (SQL, NoSQL, cloud data storage) and build integrations to unify data for reporting and analytics Work closely with tech lead/product management to understand data needs, build dashboards, and develop automated reporting solutions Design and optimize storage solutions for structured and unstructured data, enhancing data retrieval and performance for BI purposes Maintain comprehensive documentation of processes, code, and data flows. Follow best practices in code design and deployment to production Requirements Strong proficiency in Java (Java 8+ preferred) with a focus on data-related frameworks and libraries Experience in handling large datasets, including data cleaning, transformation, and aggregation techniques Proficiency in working with SQL and NoSQL databases and an understanding of database design principles Familiarity with BI tools like Tableau, Power BI, or Looker to create and manage reports and visualizations Experience working with cloud platforms for data storage and processing is a plus Strong analytical and problem-solving skills to derive insights from data and enhance data processing workflows Preferred Qualifications Familiarity with Python or Java for data processing Understanding of data modeling and data warehousing concepts Experience with REST APIs and microservices architecture Knowledge of version control tools like Git and CI/CD pipelines Benefits At MEMX you will have the ability to work with a talented team of professionals who bring diversity of thought and background. You will have the opportunity to shape the future of our company and the impact MEMX will have on our clients and the broader markets. We offer competitive employee benefits and perks and will continue to make this a priority to attract the best. Work From Home Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited Paid Time Off Generous Paid Family Leave Short Term & Long-Term Disability Training & Development Wellness Resources Pay Range: $120,000 - $150,000 *Pay ranges are a general guideline only and not a guarantee of compensation. Compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Equal Opportunity Statement MEMX is an equal opportunity employer. We are committed to creating a diverse and inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Diversity Inclusion Statement At MEMX, we believe that diversity and inclusion are essential to driving innovation and success. We welcome and celebrate individuals from all backgrounds and perspectives, and we strive to create an inclusive culture where everyone can thrive.

Location: Chicago, NYC DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Trading Operations Engineer you will provide support to a group of trading desks based in Chicago. This is an opportunity to solve challenging problems while working closely with experienced traders, researchers and software engineers to optimize operational workflow and use the right tools and technology for the job. Responsibilities: Provide operational support for several of the firm’s crypto trading desks Trade capture for all products related to the desks’ activity: futures/futures options Trade and position reconciliation with the firm’s clearing houses and brokers Daily P&L calculation and substantiation Working knowledge and experience in derivatives Gain mastery of the firm’s proprietary trade capture, inventory management, treasury management, and risk management systems necessary to support the desks’ activity Act as process owner for current functionality and provide critical support and advice regarding needed enhancements to technology, workflows, and processes: Gain a strong understanding of traders’ risk management tools and provide support for related traders’ needs Upgrade and support traders’ tools to effectively utilize technologies and tools that are firm standard Interface with technology to improve tools where they fall short of meeting the desks’ needs Adopt, integrate, and promote new technology as it becomes available Requirements: Strong interest or working knowledge and experience in crypto Previous experience with Version Control, Git, Python, Cron, Linux 2-3 years of experience in the front office, middle office, back office, or risk management roles working with exchange-traded and over-the-counter products and derivatives Experience working with derivatives is preferred Substantial prior interaction with the front office and senior management in an active trading environment Bachelor’s degree in Computer Science, Engineering, or related STEM field Demonstrated ability to work independently Demonstrated ability to analyze problems and synthesize and implement solutions The annual base salary range for this position is $100,000 to $150,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-TL1]