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Location: Warsaw, Mazowieckie, Poland; Sofia City, Bulgaria; Limassol, Cyprus Workplace: hybrid Capital.com's Product Security team protects our web and mobile applications, infrastructure, and external perimeter in a highly regulated environment. As Senior/Staff Application Security Engineer, you will raise the bar for application security across the organisation. This role is measured by leverage: how well you design, automate, and scale security processes so that many engineering teams can build securely by default. You will lead security architecture reviews and threat modelling, increasingly with the help of AI tooling, and turn one-off security work into repeatable, self-service capabilities. The role combines deep hands-on offensive and defensive security expertise with the engineering mindset needed to automate at scale. You will work closely with development, QA, DevOps, and platform teams. Responsibilities: Security Architecture & Threat Modelling: Lead security architecture reviews and threat modelling for new and existing systems, using AI tools to make reviews faster, more consistent, and scalable across teams Act as a security force multiplier by influencing the standards, patterns, and guardrails that let teams move fast and stay secure Security Automation & Tooling: Design, build, and automate scalable security processes that engineering teams can self-serve, covering secure design review, threat modelling, testing, and remediation workflows Integrate and automate security checks across the SDLC and CI/CD pipelines (SAST, DAST, SCA, secrets, and IaC scanning), tuned for strong signal and low friction Own and evolve security tooling such as DefectDojo and SAST, DAST, and SCA platforms, maximising automation, coverage, and integration Apply AI and LLM-based tooling to architecture review, threat modelling, code review, and vulnerability triage, and help define how the team adopts these tools safely Security Testing & Vulnerability Management: Conduct and oversee security assessments of web and mobile applications, APIs, and cloud infrastructure, including manual testing and PoC development Run vulnerability scans across internal infrastructure and the external perimeter, then analyse findings, define remediation, and track issues to closure Support and triage the Bug Bounty Program and external vulnerability reports, automating triage where possible Participate in and help lead red teaming and offensive security exercises Enablement: Drive knowledge sharing on secure development, mentor engineers, and deliver training for development and QA teams Requirements: Experience: 5+ years in application or product security, or equivalent depth, with a track record of senior or staff-level impact Demonstrable experience leading security architecture reviews and threat modelling (e.g. STRIDE, attack trees, data-flow analysis) across multiple teams or products Proven ability to automate and scale security processes by building tooling, integrations, and self-service workflows that reduce manual effort Technical: Strong hands-on security testing skills, including code review and web, mobile, and API application security assessments, as well as the ability to triage and validate external vulnerability reports and bug bounty submissions Strong software engineering ability in at least one language (e.g. Python, Go, JavaScript), with the ability to build automation, not just scripts Deep understanding of the OWASP Top Ten, secure design, and secure coding best practices Experience with SAST, DAST, SCA, and vulnerability management platforms, and integrating them into CI/CD Strong understanding of modern application architectures: REST APIs, microservices, cloud-based systems, and containers Practical experience applying AI and LLM tooling to security work, or clear enthusiasm and aptitude to do so Collaboration: Excellent communication and influencing skills: you can explain security concepts to technical and non-technical stakeholders and drive change without direct authority A self-starter who enjoys solving complex problems, building leverage through automation, mentoring others, and strengthening security culture Nice to have: Experience securing the AI harness: hardening LLM and agent pipelines, prompts, tool and MCP integrations, and model endpoints against prompt injection, data leakage, and insecure agent actions Experience securing Kubernetes, including cluster hardening, RBAC, network policies, admission control, workload isolation, and image and supply-chain security Experience securing AWS infrastructure, including IAM, network and account architecture, key and secret management, and CSPM Experience building AI-assisted security tooling or internal self-service security platforms Experience mentoring or technically leading a security team Offensive or advanced security certifications such as OSAI, OSEP, OSCP, or OSWE What you'll get in return: You will join the company, that cares about work and life balance Annual Bonus based on the performance review cycle Generous Annual Leave Policy Medical Insurance and Pension fund, with additional benefit packages based on the location Hybrid working model (3 days from our modern office and 2 days fully remotely) Comprehensive Workation Policy with 30 more remote days available. Possibility of taking two additional days of paid leave per year to dedicate to volunteering efforts.

Location: Limassol, Cyprus Workplace: on-site Mayflower is a technology company building high-load products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience. We are looking for a Lead ML Engineer to own a new ML stream focused on fast delivery of applied machine learning solutions across different product and business domains. The stream will work with a broad range of ML challenges. Some initiatives may be relatively small and delivered within a few weeks, while others may prove their value and grow into larger dedicated projects. This role combines hands-on ML engineering with end-to-end technical delivery ownership. You will receive product problems and expected outcomes from Product or internal stakeholders, clarify the technical requirements and constraints, define the implementation approach, coordinate execution within the stream, and bring solutions to production readiness and launch. This is a highly hands-on role. The stream will not have a dedicated software engineer for every initiative, so we expect Data Scientists and ML Engineers to be comfortable working beyond experimentation and contributing directly to production code. The role is not tied to a single ML domain. We value strong ML fundamentals, engineering skills, pragmatism, and the ability to quickly understand new problem areas more than deep specialization in one particular class of models. Job Responsibilities Technical Delivery Ownership Turn product and business problems into concrete ML implementation plans. Clarify requirements, constraints, available data, integrations, and success criteria together with Product and relevant stakeholders. Define technical scope, milestones, dependencies, risks, and delivery estimates. Select appropriate ML approaches and determine the fastest reliable way to validate and implement them. Drive technical delivery through experimentation, implementation, integration, deployment, and launch readiness. Keep delivery on track, proactively identify blockers, and coordinate dependencies with other teams. Provide Product with clear technical options, trade-offs, estimates, risks, and experiment results required for product decisions. Support production rollout and iteration based on observed results. Hands-on ML & Engineering Design, train, evaluate, and deploy ML models across different domains and problem types. Write production-quality Python and contribute directly to implementation. Build APIs, batch jobs, data-processing pipelines, and ML services required to deliver solutions where appropriate. Work with classical ML, deep learning, and foundation-model-based approaches depending on the problem. Process and transform large production datasets using Python and SQL. Integrate models into existing production systems. Implement appropriate testing, monitoring, logging, and observability for delivered ML solutions. Work within the shared ML infrastructure, architecture, and engineering practices used across the company. Collaborate with Data Science, Backend, Data Engineering, and MLOps specialists when deeper domain expertise or infrastructure changes are required. Stream Execution Break initiatives down into concrete technical tasks and coordinate execution within the stream. Coordinate the work of Data Scientists and ML Engineers contributing to stream initiatives. Review technical approaches, experiments, and implementation. Keep the team focused on the agreed scope, priorities, and delivery timeline. Identify technical risks and dependencies early and drive them to resolution. Escalate architectural, infrastructure, or methodological questions when broader alignment is required. Help prepare successful initiatives for scaling or transition into longer-term ownership if they grow beyond the scope of the stream. Cross-functional Collaboration Work closely with Product throughout the delivery lifecycle. Independently gather the technical details and constraints required to execute on a product request. Communicate estimates, dependencies, technical trade-offs, and delivery status clearly. Work directly with Engineering and other internal teams to unblock implementation. Challenge technically unclear, contradictory, or infeasible requirements and propose practical alternatives. You’ll thrive here if you have 5+ years of commercial experience in Machine Learning, Data Science, or ML Engineering. Strong hands-on Python programming and software engineering skills. Experience taking ML solutions from a product requirement through experimentation, implementation, integration, and production. Strong understanding of machine learning methods, statistics, experimentation, and model evaluation. Experience writing maintainable production code rather than working exclusively in notebooks. Experience building APIs, services, batch processing, or data pipelines. Strong SQL skills and experience working with large production datasets. Practical experience with Docker and production deployment environments. Ability to turn partially defined problems into concrete technical plans. Ability to estimate work, identify dependencies and risks, and drive technical execution against a timeline. Experience owning technical delivery involving several contributors and coordinating work across dependencies. Experience reviewing code and technical approaches. Ability to work effectively within established engineering and ML practices while independently owning delivery within a stream. Strong communication skills and the ability to work directly with Product and technical stakeholders. Ability to balance speed and engineering quality: validate ideas quickly when uncertainty is high and build robust solutions when moving towards production. Nice to Have Previous experience as a Tech Lead, Stream Lead, or technical owner of ML initiatives. Experience with Kubernetes and CI/CD. Experience with Kafka or other streaming platforms. Experience with Airflow, MLflow, experiment tracking, model monitoring, or similar tooling. Experience building real-time or high-load ML services. Experience with FastAPI or similar Python service frameworks. Experience across several ML domains, such as recommendation systems, ranking, NLP/LLMs, Computer Vision, anomaly detection, forecasting, or classification. Experience with LLM inference, fine-tuning or other GenAI systems. Experience in teams where Data Scientists and ML Engineers own a substantial part of production implementation themselves.

Location: Warsaw, Mazowieckie, Poland; Sofia City, Bulgaria; Limassol, Cyprus Workplace: hybrid Capital.com builds and operates web and mobile trading platforms, public and partner APIs, and the backend services behind them, all in a highly regulated environment. As Application Security Architect, you will be the senior design authority for the security of these products. You will set the direction for how we secure software at scale: you will own secure-by-design patterns and standards, lead threat modelling and architecture reviews, and define the application security baseline that engineering teams build against. Working closely with the Product Security team and the Director of Product Security, you will guide AppSec processes and set the vision for your area without direct line management. You will treat security as a shared outcome rather than a gate, balancing strong protection with developer experience and delivery speed, and you will earn adoption through enablement rather than mandates. Responsibilities: Security Architecture & Standards: Define and maintain secure-by-default reference architectures for common patterns: web apps, mobile backends, microservices, public and partner APIs, and event-driven services Own core application security architecture decisions: authentication and authorisation, session management, API security, secrets management, multi-tenant isolation, and security logging and auditing Lead the redesign of user authentication and the delivery of security features into the product Develop and roll out application security standards, secure-coding guidelines, configuration standards, reusable design patterns, and architecture decision records (ADRs) that engineers can apply without a security expert in the room Define internal policies for the safe use of AI-assisted and vibe-coding tools Define security requirements for acquired technology and guide its secure integration Threat Modelling & Design Review: Establish and run a threat-modelling operating model, covering scope, cadence, templates, and facilitation, proportionate to each product's risk tier Own the security review stage of the new product approval process, covering architecture design and configuration Lead design reviews for high-impact initiatives: new products, new auth flows, payment and sensitive-data flows, platform migrations, and major refactors Identify design-level risks and agree practical, prioritised mitigations with engineering teams Secure SDLC, DevSecOps & Supply Chain: Assess the current state of application security, propose improvements, and drive the secure SDLC strategy with Engineering and Security leadership Oversee AppSec processes and own the tooling strategy (SAST, DAST, IAST, SCA, and secrets scanning), including how findings flow back to engineering Embed security controls as guardrails in CI/CD through policy-as-code, with agreed enforcement and escalation paths Partner with DevOps to organise repository management and prevent supply-chain attacks, covering safe component usage, dependency management, SBOMs, and build integrity Improve the security of our internal tools Requirements: Experience: 8+ years in technology, including 5+ years in a dedicated application or product security role, with a strong engineering background and hands-on architecture or design ownership Proven track record creating, documenting, and rolling out security standards, patterns, and best practices across a complex engineering organisation Deep, demonstrable threat-modelling experience across product portfolios Technical: Experience designing and implementing a secure SDLC in a cloud-native environment. Strong AWS knowledge is required, and exposure to GCP or other clouds is welcome Strong command of OWASP standards (Top 10, ASVS) and DevSecOps practice, including AppSec tooling (SAST, DAST, IAST, SCA, secrets scanning) and vulnerability management Deep understanding of modern distributed architectures: microservices, REST and GraphQL APIs, event-driven systems, OAuth2/OIDC, and containerised workloads (Docker, Kubernetes). You should be able to reason about their trust boundaries, attack surface, and data flows across web and mobile clients Collaboration: Exceptional ability to influence and align engineering teams without direct authority, and to brief both engineers and executives Pragmatism and strategic thinking: you balance the ideal with the achievable, protect delivery throughput, and turn long-term direction into an actionable plan Clear written communication through diagrams, ADRs, and patterns, plus a track record of mentoring and cross-functional collaboration Nice to have: Experience in fintech, trading, brokerage, or another regulated environment Awareness of relevant regulatory and compliance drivers: FCA and CySEC operational resilience, GDPR, and PCI DSS Software supply-chain security, including SBOMs and artifact and build integrity Experience securing AI-integrated product features, or using AI to scale an AppSec programme Experience building or running a Security Champions programme CSSLP, GIAC GDSA, or a hands-on offensive security certification. Certifications are valued but secondary to demonstrated experience What you'll get in return: You will join the company, that cares about work and life balance Annual Bonus based on the performance review cycle Generous Annual Leave Policy Medical Insurance and Pension fund, with additional benefit packages based on the location Hybrid working model (3 days from our modern office and 2 days fully remotely) Comprehensive Workation Policy with 30 more remote days available. Possibility of taking two additional days of paid leave per year to dedicate to volunteering efforts.

– Разработка сервисов мобильного банка. – Создание сложных архитектурных решений.

Location: Amsterdam, Netherlands; Belgrade, Serbia; Berlin, Germany; Paphos, Cyprus; Remote, Germany; Warsaw, Poland Founding Tech Lead (GrowthBricks) Are you a hands-on engineer who loves zero-to-one challenges? Do you want to build systems with real context and memory that do more than reason, use tools, and drive actual business outcomes? About JetBrains We create intelligent software development tools for developers and teams. More than 15 million users, over 300,000 companies, and 88 of the Fortune Global Top 100 rely on our products to solve real, complex problems. Our mission is simple: make development teams more productive and AI adoptable at scale. GrowthBricks is a new project at JetMinds, backed by JetBrains, designed to give GTM teams and AI agents a shared business brain. Business context usually gets fragmented across CRMs, documents, dashboards, and people's heads. GrowthBricks brings that context together so agents and people can make decisions and execute effectively across the sales, marketing, and product stack. About GrowthBricks GrowthBricks is a shared business brain for GTM teams and AI agents. It brings together the context that usually lives across CRM, docs, dashboards, tools, and people’s heads: who we sell to, why customers buy, what matters now, what we tried, and what worked. Agents and people use that context to decide what to do next and execute across the GTM stack. GrowthBricks is a new project at JetMinds, backed by JetBrains. About the role We’re looking for a hands-on Founding Tech Lead to build GrowthBricks from zero. You’ll work directly with the product founder and own the technical side of the product: architecture, core systems, integrations, and the agent layer. The core challenge is turning fragmented, changing business context into reliable memory and agent actions across tools and measuring whether those actions actually drive business outcomes. You’ll write a lot of the early code yourself, make the key technical decisions, and shape the product as we learn what works. What you’ll work on Design the core architecture: business context, agents, tools, integrations, and feedback loops. Build agentic workflows that can reason over company context and act across CRM, sales, marketing, and product systems. Build context extractors from GTM team artifacts like sales calls, emails, internal documents, CRM state, marketing campaigns, etc. Work on prompting, context management, memory, tool use, and orchestration. Connect GrowthBricks to the existing GTM stack rather than rebuilding everything around it. Decide where to use MCP, APIs, frameworks, or third-party tools and where a custom solution is worth it. Prototype fast, discard weak ideas, and turn the useful ones into product primitives. We expect that you Are a strong hands-on engineer who enjoys zero-to-one work. Have built with LLMs, agents, or agentic workflows used by real people, and improved them based on failures, evaluations, and user feedback. Understand how context, prompting, tools, and agent behavior fit together. Can design backend systems, APIs, data models, and integrations. Are comfortable making decisions before all the answers are known. Prefer simple, pragmatic solutions over unnecessary complexity. We’re especially interested if you Have worked in solution engineering, sales engineering, pre-sales, or built software for GTM teams. Understand the modern GTM stack: CRM, enrichment, outbound, automation, and product signals. Have automated sales or marketing workflows, ideally with agents or LLMs. Have owned a technical product from a blank repo to something people actually used. GTM experience is not mandatory, but if you already understand how sales and marketing teams work, that is a strong advantage. What we offer A competitive salary and strong benefits package. The runway and resources of an established company, with startup-level autonomy. A founding role with direct influence over both product and architecture. Real users and real workflows from day one. Freedom to choose the stack, tools, and technical approach. A chance to help define what an agent-native GTM product should look like. #LI-IM We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: London, England Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Your job is to make sure every payout and transaction lands with the right person. We have spent years getting very good at protecting the things a marketplace has always had to protect: checkout fraud, account takeover, courier abuse. But we are no longer only a marketplace. We now issue banking products, lend to merchants, move instant payouts to couriers, and collect cash on the doorstep. Every one of those is a new way for money to leave the platform. This is a new team, and it owns that surface: fraud wherever money moves through the platform. Who receives it, who lends it, who collects it, and who holds it in a financial account. Think instant payout rails, merchant cash advances, and platform-issued banking and earned-wage products serving millions of couriers and merchants. These are live loss surfaces, and the volume grows with every financial product we launch. We are now looking for a Backend Engineer (Golang) to build that protection. You will design and ship real-time detection and automated enforcement for our financial products across DoorDash, Wolt, and Deliveroo. The work is high-throughput, low-latency, and unusually consequential: a rule you ship on Monday can stop a serious loss by Friday. It is also close to greenfield, so you will be setting the patterns every future financial product inherits on day one. This role will be based in London , UK as one of the founding engineering roles in our London hub, working closely with our teams in Helsinki and Berlin. What you'll do: Build and maintain high-throughput, low-latency backend services in Go that score financial events in real time, including payout enrollments, bank account links, credit applications, and account-to-account transfers. Design fraud detection and automated enforcement for our financial products end to end: from signal collection through to the decision that blocks a fraudulent payout. Build on and extend our shared fraud decisioning platform, so signals, rules, and models work across all three of our brands instead of being rebuilt three times. Partner closely with risk analysts, data scientists, and product managers to turn observed fraud patterns into shipped detection, and to know when a rule, a model, or a product change is the right answer. Work across team boundaries with our account security, payments fraud, and financial product teams. We build on their signals rather than rebuild them, so clean interfaces matter. Contribute to architectural discussions and technical decisions as we establish the fraud infrastructure baseline for financial products, with support from senior engineers on the team. Write well-tested, observable code and help the team hold a high quality bar. In fraud, a silent failure is a loss event. Our expectations: 3 to 6 years of professional software engineering experience, including backend services you have shipped and owned in production. 1+ years of production experience in Golang, or strong experience in another backend language and real enthusiasm for picking Go up quickly. A working understanding of low-latency, high-throughput distributed systems. Real-time decisioning comes with a latency budget, and you are keen to learn to build inside one. Hands-on experience with SQL and/or NoSQL databases, and some exposure to event-driven architectures (Kafka or similar). Willingness to operate what you build, including a share of on-call, with a pragmatic approach to reliability. Uses AI tooling in day-to-day development and can critically evaluate its output for correctness and quality. Nice to have Experience in fraud, risk, payments, lending, or financial crime, especially money movement fraud, bank account linking fraud, payout abuse, or lending fraud. Experience with rules engines, real-time feature stores, or ML model serving in a decisioning path. Background in Kotlin, Java, Python, or Node.js alongside Go. Familiarity with cloud infrastructure (AWS, GCP). Experience working across multiple brands, regions, or regulatory regimes. What we value A product-oriented mindset. You think beyond the ticket, understand the "why" behind the work, and take a high level of responsibility for outcomes rather than output. Comfort with ambiguity. This is a new team on a new surface; parts of the charter are still being drawn, and you will help draw them. A track record of owning a project or feature end to end, especially in fast-paced environments. Clear and proactive communication, with a collaborative spirit. We work across three companies and several time zones, so we move fast, but we succeed together. An adversarial instinct. The best fraud engineers enjoy thinking like the attacker. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Baku Workplace: onsite ABOUT YOU You will play a pivotal role in delivering high-impact software solutions across our platform. You bring curiosity, initiative, and a passion for clean, scalable systems. You collaborate effectively with teammates and cross-functional partners to design, build, and improve our technical stack. You’re hands-on, deeply engaged in the code, and consistently seeking better ways to solve complex engineering challenges.   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. WHAT YOU'LL DO Software Engineering & Problem Solving: Build and ship reliable, secure, and scalable backend systems. Own implementation from design to deployment, ensuring maintainability and performance. Participate in architectural discussions and offer informed technical input. Refactor legacy codebases to improve structure and efficiency while maintaining feature continuity. Drive production readiness by handling incident response, root cause analysis, and observability improvements. Technical Excellence: Write clear, testable, and well-documented code, emphasizing quality and automation. Contribute to a culture of engineering excellence through code reviews and design discussions. Advocate for sound software development practices and continuous improvement. Collaboration & Impact: Work closely with product managers, designers, and other engineers to align on objectives and deliverables. Contribute to technical scoping and estimation for features and infrastructure work. Identify opportunities to reduce technical debt and improve the developer experience. QUALIFICATIONS 6+ years of professional experience in software engineering. 2+ years of hands-on experience with Go (Golang ) in production environments. Strong experience working with PostgreSQL and/or MySQL. Proficient with containerization and orchestration tools: Docker, Kubernetes (K8s), and Helm. Familiarity with messaging systems like RabbitMQ or Kafka. Comfortable using Git and CI/CD tooling in collaborative workflows. Working knowledge of frontend technologies, especially React and/or Next.js . Basic understanding of cloud platforms (GCP preferred). WHAT SETS YOU ARART Experience building scalable, secure Login-as-a-Service platforms. Deep knowledge of OAuth2, OIDC, SAML, JWT, and session/token management. Strong grasp of social login, SSO, and federated identity. Designed multi-tenant identity systems with isolation and configurability. Delivered developer-friendly APIs, SDKs, and integration documentation. Strong English communicator, for both technical and non-technical topics. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Seoul, South Korea About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy. Key Responsibilities Strategic Technical Partnership : Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues. Joint Solution Development: Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance. Partner Ecosystem & Events : Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities. Product Feedback: Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy. Preferred qualifications 5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Fluent in Korean and English Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Brazil; Peru; Sweden; Colombia; Argentina; Romania; Malta; Slovenia; Lithuania; South Africa; Czech Republic; Estonia; Mexico; Chile; Poland; Slovakia; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Growth Engineering team builds the experiences that connect people to our ecosystem for the first time — and keeps them coming back. We design and ship the systems behind our marketing funnels, signup and KYC flows, and the key engagement features that help new users fund their accounts and explore our products. It’s a team with direct influence on company growth, global reach, and user engagement at scale. Our products serve millions of users globally.   HOW WE WORK - We give engineers ownership and trust them to ship high-impact work with craftsmanship and accountability. - We move quickly, experiment often, and learn fast from data and feedback. - We work asynchronously across time zones, supporting each other with open communication and shared goals. WHY THIS ROLE MATTERS Every feature you build will have a visible impact on how people discover, trust, and engage with our products globally. The Growth Engineering team operates at the intersection of product, marketing, and infrastructure — turning ideas into measurable results. If you’re an engineer who enjoys solving business problems through code and believes engineering excellence drives growth, this role is built for you.   THE OPPORTUNITY As a Senior Product Engineer within the Growth team, you’ll take on complex, high-impact problems that blend product thinking and engineering excellence. You’ll work across web and mobile platforms, collaborating with design, data, and product teams to deliver features that drive measurable business outcomes. This is an ideal role for engineers who use their technical skills to create real-world impact — translating high-level business goals into engineering solutions that improve activation, retention, and monetization worldwide. - Partner with product managers, designers, and analysts to identify growth opportunities and turn them into high-quality, data-driven engineering solutions. - Implement reusable services and components that power marketing campaigns, onboarding, KYC, and first-funding experiences across web and mobile. - Collaborate on distributed systems that handle large volumes of global traffic while maintaining high performance and reliability. - Participate in design and architecture discussions, balancing user impact, scalability, and maintainability. - Measure, experiment, and iterate — using data and experimentation frameworks to understand what drives user behavior. - Uphold and improve engineering standards, performance, and security practices across the stack. SKILLS YOU SHOULD HODL - 5+ years of software engineering experience, including building and maintaining production systems at scale. - Proficiency in building full-stack applications using one of the following: TypeScript, Rust, Go, Python, or Ruby, and React or React Native. - Understanding of distributed systems, performance optimization, debugging, and secure software design. - Familiarity with infrastructure and tooling such as Docker, Kubernetes, Terraform, MySQL/MariaDB, Redis, or GitLab CI/CD. - A product mindset — you care about how your work moves key metrics, not just about the code itself. - Ability to operate autonomously in a globally distributed, remote-first environment. NICE TO HAVES - Experience with A/B testing, analytics instrumentation, or experimentation platforms. - Background in growth engineering, user funnels, lifecycle, or conversion optimization. - Familiarity with data analysis tools or experimentation frameworks.       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Remote; Armenia; Serbia; Kazakhstan; Georgia; European Union Workplace: Remote 🌍 Remote | UTC+8 | Core collaboration hours: 1:00–7:00 PM Manila Time   Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here.   About the role: You'll build the microservices behind Salmon's core banking products — reliable, scalable systems supporting how millions of Filipinos manage their money.   What you'll do: - Build scalable microservices in the JVM environment using Spring Boot, within the Core Banking Development Team. - Work in an event-driven architecture grounded in domain-driven design (DDD) and eventual consistency. - Collaborate across engineering to develop and scale Salmon's core banking and partner platforms.   What you'll own: - Build and maintain reliable, scalable microservices in the JVM environment using Spring Boot. - Design event-driven services applying domain-driven design (DDD) principles and eventual consistency. - Build and maintain APIs and services that support core banking products. - Contribute to internal SDKs and frameworks that streamline how teams build on shared services. - Integrate with partner platforms and external services at scale. - Support the development and scaling of banking and partner platforms as Salmon grows.   What makes you a strong fit: - 3+ years of software development experience in the JVM environment, with strong Java skills (Kotlin is a plus). - Experience using Spring Boot in a microservices environment. - Experience working in an agile setup with continuous deployment and delivery. - Solid understanding of event-driven architecture, domain-driven design, and eventual consistency. - Experience with containerization and orchestration — Docker and Kubernetes preferred — in a cloud environment (AWS preferred). - A collaborative mindset and willingness to share knowledge across the team.   What we offer: Ownership and flexibility - Fully remote work with core collaboration hours from 1:00 to 7:00 PM Manila time (UTC+8) - Company-provided tools and equipment Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - High-performing teams can earn a dedicated beach house week in Southeast Asia   We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

Design and clearly communicate solutions, demonstrating that you have a clear grasp of business value as well as technical challenges. Partner with Sales Directors, Account Managers, and Strategic Account Managers to drive the technical win and align with technical buyer during the sales cycle.

Location: Санкт-Петербург GigaDataGateway — это единая точка доступа ко всем данным, знаниям и AI-возможностям компании. Система поддерживает обслуживание десятков внутренних команд и позволяет оптимизировать модели на основе опыта работы с внешними и внутренними источниками. Проектируешь сервисы и инфраструктуру будущего? Присоединяйтесь! Обязанности Чем предстоит заниматься: • развивать сервисы GigaDataGateway на Python, • проектировать и реализовывать REST/gRPC API для внутренних клиентов, • интегрироваться с разными источниками данных, • создавать модули авторизации, аутентификации, контроля доступа и логирования, • работать над повышением производительности, отказоустойчивости и масштабируемости, • участвовать в код-ревью и формировании технических практик. Требования Мы ждём что ты: • имеешь коммерческий опыт разработки на Python от 7 лет, • обладаешь глубокими знаниями FastAPI/aiohttp/gRPC, • знаешь основы проектирования архитектур сервисов и API-шлюзов, • отлично разбираешься в многопоточности, асинхронности, очередях и распределённых системах, • работал с высоконагруженными системами и улучшал производительность, • уверенно владеешь SQL и аналитическими базами данных (ClickHouse, PostgreSQL), • строил масштабируемые решения на Kafka/RabbitMQ, • применял принципы DDD, Clean Architecture, SOLID, • имел опыт наставничества и технического лидерства в команде, • знаком с инструментами CI/CD, Kubernetes, мониторинга (Prometheus/Grafana, ELK/ClickHouse+Metabase). Будет плюсом: • опыт создания универсальных API-шлюзов или data API, • работа с ML/AI-сервисами (интеграция моделей в API), • интеграция с внешними системами через REST API/gRPC/GraphQL, • участие в проектировании корпоративных дата-платформ. Условия Что мы предлагаем: • работу в новом стратегическом проекте компании, • влияние на архитектуру и выбор технологических решений, • современные практики разработки (CI/CD, GitLab, Docker/Kubernetes), • конкурентоспособную оплату труда (оклад плюс годовая премия), • гибкий график и гибридный формат работы, • официальное оформление по Трудовому кодексу РФ, • комфортный офис с зоной отдыха и корпоративным спортзалом, • обучение и развитие навыков, • расширенный полис ДМС с первого рабочего дня и страховка для членов семьи, • бонусы за рекомендации сотрудников.

You make huge models, up to 1T+ parameters, answer fast and cheap in production. SGLang, caching, distributed inference, post-training.

Location: Paris; New York; London Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. The role Mistral is building a sovereign AI cloud. Our inference platform already serves production traffic at scale. We are hiring a Lead Product Manager to own the inference portfolio within our Cloud & Inference organization. You'll set strategy, write specs, sit with customers running production traffic, and work across our inference, infrastructure, and go-to-market teams to deliver real customer impact. Example problems you may work on include figuring out the next inference product we should launch to help our customers scale their AI workloads or how we cut fraudulent free-tier usage without adding friction for legitimate users. You will work on state of the art infrastructure, in close collaboration with our science and research engineering teams. Your job is to turn that infrastructure into products that AI-native startups and enterprises pay for, integrated with our developer platform Studio. You will operate as an individual contributor first — taking end-to-end ownership of complex and significant product lines — while building the foundation for the inference PM team as the portfolio grows. The size and shape of the team reporting into the role will be defined together with the VP Product once you're in place; from day one the expectation is hands-on product leadership, not people management. You will be the first PM fully dedicated to inference and the most senior product hire in the space. You will report to the VP Product - Cloud & Inference, and work day-to-day with our inference engineering teams in the US and Europe. What you'll do - Strategy and vision: define the vision, strategy, and annual goals for the inference portfolio, aligned with customer needs and company objectives. Benchmark the managed-inference field and pick where we win. - Roadmap and execution: own the full lifecycle for serverless inference, dedicated endpoints, and adjacent services. Prioritize, ship, measure, iterate. Economics: own adoption, revenue contribution, and gross margin for your products. Treat cost-per-token, unit economics, and capacity tradeoffs as product decisions, and partner with GTM, Finance and Marketing on pricing, packaging, and launches. - Customers: spend real time with AI-native startups and enterprises running advanced production workloads. Turn their constraints, like latency, throughput, compliance, and cost, into roadmap choices. - Engineering partnership: work daily with inference engineering and the cloud infrastructure teams behind our data centers on capacity planning, scheduling, routing, and reliability. - Research and open source: track open-source inference advances and emerging model architectures, and turn them into performance and efficiency gains for the product. - Team building: as the portfolio scales, help shape and grow the inference PM team — hiring, mentoring, and setting the product bar. What we're looking for - Deep product experience in tech and infrastructure with a track record of bringing inference, cloud infrastructure, or large-scale distributed systems to market. You have built robust, at-scale AI infrastructure first-hand. - An engineering background before moving into product management. - You have taken an infra or inference product from early stage to material revenue and adoption, owning complex and significant product lines end to end. - Player-coach disposition: you lead from the front — hands-on product work now, with the range and appetite to build and coach a team as we scale. - Fluency in the economics of the business: gross margin, unit economics, and the tradeoffs behind token pricing and GPU capacity. - High ownership and a strong bias for action. You prototype with AI coding tools, write your own specs, and unblock yourself without waiting for engineers or designers. - Low ego, comfort in ambiguity, and credibility with executives, engineers, and customers alike. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Australia, Adelaide Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Senior Service Reliability Engineer Our Site Reliability Engineering team plays a significant role in delivering on the promise of a great cloud gaming experience to our customers. We do this by influencing design and operational decisions towards the overall stability of the gaming service. Our SREs focus on three main things: overall ownership of production, production code quality, and deployments. The successful candidate will be self-directed and able to participate in the way we make decisions at different levels. We expect our SREs to have opinions on the state of our service and provide critical feedback during different phases of the operational lifecycle. We are engaged throughout the software development lifecycle, ensuring operational readiness and stability. Requirements Minimum of 7+ years working experience in Software Development and/or Linux Systems Administration role. Strong interpersonal, written and verbal communication skills. Available to be scheduled in on-call rotation. Skills & Knowledge Proficient as a Linux Production Systems Engineer, with experience managing large scale Web Services infrastructure. Development experience in one or more of the following programming languages: Python (preferred) Bash, Go, Java, C++, or Rust In addition, experience with at least 3 of the following topics: Distributed data storage at scale (Hadoop, Ceph) NoSQL at scale (MongoDB, Redis, Cassandra) Data aggregation technologies. (ElasticSearch, Kafka) Scaling and running traditional RDBMS (PostgreSQL, MySQL) with High Availability Monitoring & alerting (Prometheus, Grafana), and Incident Management toolsets Kubernetes and/or AWS (deployment and management) Software distribution (Package management and distribution at scale) Configuration management (ansible, saltstack, puppet, chef) Software performance analysis and load testing (QA or SDET experience: a plus) Responsibilities Taking a leadership role in ongoing improvements in Reliability and Scalability Work closely with SRE Management to define KPIs, processes and drive continuous improvement Influence the architecture and implementation of solutions within the division Mentor more junior SRE staff and enable them for success Act as a voice to represent SRE in the wider organisation Represent the operational scalability of solutions in the wider division Lead small-scale projects from inception to implementation Design platform-wide solutions and provide technical leadership during their implementation Demonstrate a high-level of organizational skills and initiative in the role Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Москва GigaDataGateway - единая точка доступа ко всем данным, знаниям и AI-возможностям - от поиска и инференса моделей до автономных агентов. Мы проектируем систему так, чтобы она одновременно обслуживала десятки внутренних команд и поддерживала процессы оптимизации моделей на основе накопленного опыта работы с внешними и внутренними источниками инференса. Обязанности · Разработка и развитие сервисов GigaDataGateway на Python. · Проектирование и реализация REST/gRPC API для внутренних клиентов. · Интеграция с различными источниками данных (базы, стриминговые системы, аналитические движки, llm-агенты, поисковые движки). · Разработка модулей авторизации, аутентификации, контроля доступа и логирования. · Работа над производительностью, отказоустойчивостью и масштабируемостью. · Участие в код-ревью, формирование best practices команды. Требования · Опыт коммерческой разработки на Python от 7 лет. · Глубокие знания FastAPI / aiohttp / gRPC. · Опыт проектирования архитектуры сервисов и API-шлюзов. · Отличное понимание многопоточности, асинхронности, очередей и распределённых систем. · Опыт работы с высоконагруженными системами и оптимизации производительности. · Хорошее знание SQL и навыки работы с аналитическими СУБД (ClickHouse, PostgreSQL). · Опыт построения масштабируемых решений на Kafka / RabbitMQ. · Знание и применение DDD, Clean Architecture, SOLID. · Опыт менторства и технического лидерства в команде. · Навыки CI/CD, Kubernetes, мониторинг (Prometheus/Grafana, ELK/ClickHouse + Metabase). Будет плюсом: · Опыт построения универсальных API-шлюзов или data API. · Опыт работы с ML/AI сервисами (встраивание моделей в API). · Опыт интеграции с внешними системами через REST API/gRPC/GraphQL. · Участие в проектировании корпоративных дата-платформ. Условия * комфортный современный офис рядом с м. Кутузовская * гибридный формат работы * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * система обучения для профессионального и карьерного развития * расширенный полис ДМС с первого дня работы и страхование для семьи * программа ипотеки для сотрудников * вознаграждение за рекомендацию друзей в команду Сбер.

Location: NZ: Auckland: Xero 4 (96 St Georges Bay Rd, Level 2 & 3); NZ: Wellington: Xero One (19-23 Taranaki St) Workplace: Hybrid The role & impact As an Engineering Manager, you will own the roadmap and strategy for your team end-to-end, setting direction, making prioritisation calls, and driving the delivery of high-quality software through high-performing, inclusive teams. You won't just manage the work; you will be a genuine technical voice in the room, leading system design discussions, navigating architectural trade-offs, and shaping how the team evolves its technical foundations. Your impact spans both delivery velocity and technical excellence. You will actively contribute to critical engineering decisions, from system architecture and platform design to build-vs-buy trade-offs, while championing AI-native workflows and guiding your team to hone their craft in ways that deliver meaningful business and customer outcomes. The team You will lead a coordinated platform or product-focused team where building trust through transparency and seeking diverse perspectives are core to how we work. As an equal partner with Product and Design, you will co-own the strategic direction of your domain — resolving dependencies early, influencing product thinking with technical insight, and creating a sustainable environment where engineers can do their best work. We’re currently recruiting for three teams in NZ - Payments, Small Business Experience and Inventory. The team is currently working on / Initially, you will focus on: Payments You'll be leading a high-performing 6-7 person engineering team based in Auckland that manages some of Xero's most critical products. Your team serves approximately 70% of Xero's global subscriber base, which means the systems you oversee directly impact millions of customers worldwide. This is a role for someone who thrives in a high-stakes environment and wants to modernize legacy systems while maintaining a relaxed, collaborative team culture. Inventory You'll lead a distributed 9-person engineering team across Auckland, Wellington, and remote NZ locations. Inventory is on a mission to help small and mid-sized product-based businesses keep their accounting accurate and simple. You'll own a team that's directly responsible for closing critical gaps in functionality and modernizing core systems—with tangible feedback from customers proving the impact of your work. This is a role for a technical leader with strong operational mindset and a track record of delivering and maintaining high-availability systems. Where and how you can work This role can be based in Auckland or Wellington in New Zealand, with some scope for remote NZ location for one of the engineering teams. We offer a hybrid working model that balances local team presence with a global scope of work. You will have the flexibility to work from home while connecting with your colleagues in our modern office spaces during designated boost days. Here are some of the things we are looking for - You champion AI-native practices in engineering (AI-assisted PR reviews, code generation, tooling, agentic workflows) and turn experimentation into durable practice. - You bring a proven track record of owning and delivering software roadmaps end-to-end in agile environments, including managing complex dependencies and making strategic prioritisation decisions. - You have deep experience in software architecture and system design, with the confidence to lead technical trade-off discussions and steer teams through significant modernisation efforts. - You have a passion for providing high support through coaching, mentoring, and advocating for the career progression of your engineers. - Your approach to leadership involves making fast, decentralised decisions and empowering your team to take ownership. - You possess the ability to lead through influence, building strong partnerships across Product and Design; contributing technical perspectives to shape shared strategy, not just align to it. - A bias for action is part of your DNA, allowing you to proactively redirect focus when work isn't moving the needle on business outcomes. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

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 Beneficial Deployments: Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role: We're looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximizing the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude. That means making Claude the go-to tool for the life sciences ecosystem from early discovery in academia to paradigm shifting biotech to reimaging pharma pipelines  — and building the technical infrastructure to back that up. You'll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows. This isn't consulting from the outside — you'll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude's usefulness across the broader life sciences community. This role will be part of the founding Beneficial Deployments applied AI team focused on bringing more of life sciences closer to the frontier and be responsible for building with our partners. Responsibilities: Partner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day. Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch. Identify what's actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research. Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding. You Might Be a Good Fit If You Have: 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder — with production experience shipping systems that real users depend on. Deep research experience in life sciences, biomedical research, or scientific computing. Bonus if you've studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics. Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks. Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder. A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 — $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. 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.