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Location: Moscow, Russia; Tallinn, Estonia; Bucharest, Romania; Dubai, United Arab Emirates; Riga, Latvia We are seeking a Dell Deployment Consultant (Russian Speaker) to support the deployment, implementation, and integration of Dell Technologies solutions for enterprise customers. The ideal candidate will work closely with customers, project managers, and technical teams to plan, install, configure, and deploy Dell infrastructure solutions while ensuring successful project delivery and high customer satisfaction. The role requires fluency in Russian and English , strong technical deployment experience, and the ability to manage customer engagements throughout the deployment lifecycle. Key Responsibilities Lead the deployment and implementation of Dell Technologies solutions for enterprise customers. Install, configure, and deploy Dell infrastructure products, including servers, storage, virtualization, and related solutions. Gather customer requirements and translate them into deployment plans. Perform solution installation, configuration, testing, validation, and go-live activities. Execute system upgrades, migrations, and deployment activities with minimal business disruption. Collaborate with project managers, architects, engineers, and support teams throughout the project lifecycle. Conduct system health checks and deployment verification. Support hardware and software integration activities. Perform troubleshooting during deployment and coordinate issue resolution with Dell technical support when required. Develop implementation documentation, deployment guides, and technical reports. Deliver knowledge transfer and end-user or administrator training. Ensure deployments follow Dell best practices and customer requirements. Provide post-deployment support and transition projects to the support team. Requirements Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline. Fluent Russian and English (spoken and written) is mandatory. 3+ years of experience in deployment, implementation, or professional services. Hands-on experience with Dell Technologies infrastructure solutions. Experience deploying Dell PowerEdge Servers, Dell PowerStore, PowerMax, PowerScale, Unity XT, or other Dell storage solutions. Experience with VMware vSphere or Microsoft Hyper-V virtualization platforms. Knowledge of Windows Server and Linux operating systems. Understanding of networking concepts including TCP/IP, VLANs, DNS, DHCP, and SAN technologies. Experience with data migration and infrastructure deployment projects. Strong troubleshooting and analytical skills. Excellent customer-facing communication skills. Preferred Qualifications Dell Technologies certifications (DCA, DCS, DCE, or equivalent). Experience with VMware, Microsoft, or Red Hat technologies. Knowledge of backup and disaster recovery solutions. Experience with cloud platforms such as Microsoft Azure or AWS. Familiarity with automation and scripting tools such as PowerShell, Bash, or Python. ITIL Foundation certification is an advantage. Soft Skills Strong customer service orientation. Excellent communication and presentation skills. Ability to manage multiple deployment projects simultaneously. Strong organizational and documentation skills. Ability to work independently and within international teams. Willingness to travel if required. Preferred Experience Enterprise infrastructure deployment. Data center implementation and migration projects. Dell Technologies Professional Services experience. Multi-country or multinational customer deployments. Experience working in a consulting or system integrator environment.

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. We're looking for a Staff Product Manager to own the vision and roadmap for Render's datastores portfolio, with our Postgres offering at the center. You will define what a modern managed database experience looks like, including how database products will adapt to new state patterns from agents and how agents as users of state-keeping products should be accommodated. You'll drive the technical and strategic direction for Render Postgres and our broader data layer, working directly with your team and infrastructure engineering to shape architectural decisions. You'll engage with Render's customers and our product development teams to develop a deep understanding of their data needs and build conviction about where the datastores portfolio needs to go next. WHAT YOU'LL DO - Own the vision, strategy, and roadmap for Render's datastores, anchored on Postgres. Your scope spans provisioning and lifecycle management, high availability and disaster recovery, backups and point-in-time recovery, scaling and performance, connection management, and the extension ecosystem. - Drive prioritization across Render's data investments, balancing the leverage of foundational reliability work — replication, failover, storage performance — against near-term product and business needs, and being able to negotiate those tradeoffs. - Partner deeply with Engineering & other Product teams to shape the technical direction of Render's data layer, ensuring architectural decisions optimize for durability, performance, and operational simplicity. Databases are where customer trust is won or lost, so an instinct for reliability and data safety is essential. - Develop a strong, opinionated point of view on how managed Postgres needs to evolve to serve AI-native builders — from vector workloads and retrieval pipelines to databases that are spun up, branched, and torn down programmatically by agents at scale. - Set the standard for how developers experience data on Render, providing clear guidance, sensible defaults, and abstractions that make it easy for teams to run production databases with confidence — without needing a DBA on staff. WE'RE LOOKING FOR - 7+ years in Product Management, with the majority spent on databases, data infrastructure, developer tools, or platform products. - Familiarity with Postgres — its architecture, operational model, ecosystem, and the tradeoffs teams face running it in production. Bonus if you have strong perspective on how agentic workloads and AI-native applications are reshaping database usage patterns. - Deep developer empathy, for both internal engineering teams and our customers, and the technical depth to make sound architectural tradeoffs in collaboration with engineering. - A track record of taking ambiguous, high-stakes reliability and infrastructure problems and turning them into clear strategy and shipped outcomes. - Strong communication and storytelling skills. WHAT WOULD BE NICE TO HAVE BUT NOT REQUIRED - Experience as a database engineer, DBA, or infrastructure engineer. - Hands-on experience with Postgres internals, replication tooling, or the extension ecosystem (e.g., pgvector, PostGIS). - Experience building AI agents or the data infrastructure that powers them. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: South Africa; Argentina; Mexico; Morocco About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. About the company Our client is a fast-growing marketing consultancy and growth partner specializing in the global medical aesthetics and regenerative medicine industry. They empower MedSpas and premium clinics across the US, UK, Australia, and beyond to scale toward high-revenue milestones through a specialized growth framework. Rather than focusing on simple lead generation, the team implements high-level positioning and conversion systems that turn high-ticket treatments—such as advanced lasers, body sculpting, and facial balancing—into predictable revenue drivers. The company operates at the intersection of performance marketing and business strategy, offering both specialized consulting and done-for-you implementation. They are committed to moving away from volume-heavy, discount-driven tactics to focus on high-value patient acquisition and long-term retention. Joining this team means working in a results-oriented, international environment where data-driven strategies help aesthetic practices worldwide achieve sustainable, effortless growth. Job Summary We are seeking a high-level Performance Marketing & Creative Strategist to move beyond the "buttons" of media buying and take ownership of the entire conversion journey. In this role, you will be the diagnostic engine behind our client accounts, identifying exactly why campaigns succeed or fail and directing the creative and funnel improvements necessary to win. If you are a seasoned Meta Ads professional who understands customer psychology, data patterns, and the difference between a cheap lead and a high-quality appointment, this is your opportunity to lead strategy for a high-growth team. Key Responsibilities Perform deep-dive audits of Meta Ads accounts to diagnose performance bottlenecks and creative fatigue. Develop comprehensive creative strategies and write detailed briefs for production teams, UGC creators, and editors. Optimize lead generation funnels from the initial ad click through to the final booked appointment. Build and manage structured testing roadmaps to ensure continuous performance improvement. Analyze complex data sets to identify patterns in lead quality and conversion rates, moving beyond surface-level metrics like CPL. Collaborate with internal teams to improve landing page aesthetics and conversion architecture. Proactively create recovery plans for underperforming accounts and scale winning campaigns through data-backed recommendations. Requirements Proven agency experience managing multiple client accounts simultaneously. Extensive expertise in Meta Ads specifically focused on lead generation. A strong portfolio of results demonstrating your ability to reduce CPA and increase revenue through creative and funnel optimization. Deep understanding of direct response marketing, customer psychology, and hook/angle frameworks. Experience writing creative briefs and directing the production of high-converting ad assets. Proficiency in analyzing the entire customer journey, including landing pages and backend conversion steps. Excellent written and verbal English with the ability to articulate complex strategic shifts to stakeholders. A data-first mindset with the ability to work independently and take full ownership of account performance. Nice-to-Haves Experience in the MedSpa, aesthetics, or high-ticket wellness industry. Hands-on experience with GoHighLevel (GHL). Experience managing high-ticket lead generation or Business Opportunity (BizOpp) funnels. Previous leadership experience in creative strategy or growth marketing. Benefits 🌎 Fully remote work environment 🚀 Career growth opportunities in a fast-scaling agency 🎯 Performance-based incentives 📈 Long-term stability and high-level strategic ownership 🧠 Collaborative culture with top-tier marketing talent

Location: Montreal, Canada As a Senior Electrical Satellite Systems Engineer, you’ll play a pivotal role in ensuring end-to-end mission success. You will lead the definition, integration, verification, and operational readiness of the satellite electrical architecture — from subsystem trade studies and design reviews to launch and early orbit phases. You’ll act as a technical authority across payload and bus domains, mentoring junior engineers and serving as a trusted point of contact for operators, customers, and launch partners. Key Responsibilities System Design and Development Support ongoing design of electrical subsystems through final flight design, build, and test. Define system requirements and maintain performance budgets across power, data, and reliability. Requirements Management Maintain system requirements, verification, and test matrices from mission level down to subsystems. Technical Analysis Perform and manage analyses including power budgets, failure mode analysis, and reliability. Interface Control Manage interface control documents (ICDs) to ensure proper electrical connections between subsystems. Testing and Verification Develop and oversee execution of test plans and procedures to verify and validate satellite performance through qualification and LEOP phases. Documentation Prepare and maintain design reports, specifications, and verification matrices. Team Leadership Provide technical guidance and mentorship to junior engineers and collaborate with multidisciplinary teams (software, mechanical, ground segment) Supplier and Project Management Oversee subcontractors and vendors to ensure compliance with program requirements. Program Support Participate in major reviews including SRR, PDR, CDR, TRR, PSR, and LRR. Required Skills and Experience Education Bachelor’s or Master’s in Electrical Engineering, Systems Engineering, Aerospace Engineering, or a related field. Experience 15+ years in satellite systems design for LEO constellations, with full lifecycle experience. Technical Expertise Systems Leadership & Architecture Define spacecraft electrical system architecture ensuring optimal payload–bus integration. Develop and maintain system-level documentation (Satellite Reference Database, Parameter Book, CONOPS). Oversee subsystem interfaces for avionics, power, AOCS, propulsion, TT&C, thermal, and data handling. Own requirements management, flow-down, and traceability across the project lifecycle. Conduct gap analyses and ensure subsystem requirements meet mission-level objectives. Design, Verification & Validation Define and validate electrical performance budgets (power, data, fault management). Lead all V&V phases including electrical ground testing (qualification, TVAC, EMC/EMI), and environmental qualification. Drive fault detection, isolation, and recovery (FDIR) strategy and contribute to flight software validation. Oversee system-level integration testing and ensure design compliance. Lead readiness for launch, early orbit, and end-of-rendezvous operations. Operations & Launch Support Interface with launch providers to ensure compliance with integration and environmental requirements. Provide technical leadership during launch campaigns, LEOP, and in-orbit testing. Support Satellite Operations Control Center (SOCC) activities including telemetry, command databases, and anomaly resolution. Stakeholder Communication & Leadership Engage with customers and satellite operators on complex technical matters. Mentor junior engineers and promote systems thinking and disciplined engineering practice. Lead and document design reviews ensuring compliance with ECSS, PUS-STD, and internal standards. Tools & Soft Skills Experience with flight engineering software, Agile methods, and modeling/simulation tools (e.g., MATLAB). Strong written and verbal communication with both technical and non-technical stakeholders. Proven analytical and problem-solving abilities in dynamic, ambiguous environments.

Location: Spain; Serbia; Poland; Ukraine; Portugal; North Macedonia; Bosnia and Herzegovina; Romania Workplace: remote About Provectus Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.   Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.   Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX, Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for . Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire:   Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant  HR Interview. Soft skills and expectations HM interview. Tech questions; a live engine

Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Al Khobar, Saudi Arabia; Lusail, Qatar; Dubai, United Arab Emirates The KH Finance & Revenue Cycle Management (RCM) Specialist is responsible for overseeing the financial operations and revenue cycle management of KAUST Health, ensuring accurate financial reporting, effective budget management, and efficient insurance claims processing. The role focuses on validating invoices and quotations, managing end-to-end insurance claim activities, monitoring financial performance, and optimizing revenue collection while ensuring compliance with contractual agreements and healthcare regulations. Working closely with healthcare operators, insurance providers, finance teams, and senior leadership, the specialist plays a key role in improving financial sustainability, minimizing claim denials, strengthening financial controls, and supporting strategic decision-making through data-driven financial analysis and reporting. Key Responsibilities Review and validate invoices submitted by the healthcare operator to ensure accuracy, completeness, and compliance with contractual agreements before payment approval. Evaluate and approve quotations for healthcare services by verifying pricing, scope, and alignment with agreed contracts and organizational policies. Lead the annual budgeting process, including budget preparation, monitoring, forecasting, and expenditure control to support KAUST Health's financial objectives. Prepare financial reports and conduct variance analysis, providing monthly financial insights, forecasting, and recommendations to improve operational and financial performance. Manage the end-to-end Revenue Cycle Management (RCM) process, ensuring timely and accurate submission of insurance claims to all insurance providers. Validate insurance claims by reviewing billing accuracy, medical coding, documentation, and compliance with payer requirements to minimize claim denials. Monitor claim rejections, collections, and reimbursement performance, analyze denial trends, implement corrective actions, and improve cash flow and revenue recovery. Lead reconciliation meetings with healthcare operators and insurance companies to resolve payment discrepancies, outstanding claims, billing issues, and account reconciliations. Develop and present financial and revenue cycle KPIs to senior leadership, identifying financial risks, revenue optimization opportunities, and process improvement initiatives. Ensure financial compliance and stakeholder collaboration by supporting internal and external audits, maintaining compliance with financial policies and healthcare regulations, and serving as the primary liaison between KAUST Health, Finance, healthcare operators, and insurance companies. Requirements Bachelor's degree in Finance, Accounting, Business Administration, or a related discipline (Finance or Accounting preferred). Master's degree in Finance, Accounting, Business Administration, or Healthcare Management is preferred. Professional certification such as CPA, CMA, ACCA, or equivalent is considered an added advantage. Minimum of 6 years of professional experience, including at least 3 years in a leadership or specialist role in finance, healthcare finance, or revenue cycle management. Proven experience in healthcare finance, including budgeting, financial planning, financial reporting, cost control, and expenditure management within hospitals or healthcare organizations. Extensive knowledge of Revenue Cycle Management (RCM), including insurance claims processing, claim validation, reimbursement, denial management, collections, and financial reconciliation. Strong financial analysis and reporting skills, with experience in budget preparation, forecasting, variance analysis, KPI reporting, and financial performance management. Advanced Microsoft Excel proficiency, including Pivot Tables, XLOOKUP/VLOOKUP, financial modeling, dashboards, data analysis, and reporting; experience with ERP or healthcare financial systems is highly desirable.

Location: Remote (Global) Looking to join a world-class blockchain development team? Ava Labs makes it simple to deploy high-performance solutions for Web3, led by innovations on Avalanche. The company was founded by Cornell computer scientists, who partnered with Wall Street veterans and early Web3 leaders to execute a promising vision for redefining the way people build permissionless networks. Ava Labs is redefining the way people create value with Web3. Join us as we empower people to easily and freely digitize all the world’s assets on one open, programmable blockchain platform. Lead the engineering org building Fortary's institutional digital asset platform: custody, trading, lending, staking, and treasury management for regulated financial institutions. You'll own the architecture and technical strategy for our distributed MPC custody system, grow the team, and partner with Product, Security, and executive leadership to ship secure, resilient infrastructure at institutional scale. This is a leadership role at the intersection of distributed systems, applied cryptography, and institutional finance. You set technical direction, you're accountable for what ships, and you build the org that ships it. What you'll do - Lead multiple teams delivering Fortary's custody, transaction authorization, key management, wallet infrastructure, and blockchain integrations - Own the architecture and roadmap for the distributed MPC custody platform, including disaster recovery, governance, and transaction policy controls - Partner with Product, Security, BD, and executives to prioritize investments against customer, regulatory, and business needs - Support multiple deployment models: managed platform and licensed software - Ensure engineering practices meet the security, compliance, and governance bar required as Fortary moves toward chartered-institution status - Lead incident response for outages, security events, and key management scenarios - Hire, mentor, and grow engineering managers and senior engineers - Drive adoption of AI-assisted engineering across the org What you'll bring - 10+ years in software engineering, 5+ leading teams shipping production-scale secure distributed systems - Track record owning large-scale, security-critical platforms from architecture through production - Deep expertise in modern cryptography and secure key management: MPC, threshold signatures, TEEs, HSMs - Experience building cloud-native systems (Kubernetes, IaC, CI/CD, observability) with security and resilience as first-order concerns - Fluency in the compliance frameworks for regulated finance: SOC 2, ISO 27001, NIST, AML/KYC, and awareness of the SEC/CFTC/OCC/MiCA landscape - Experience across digital asset infrastructure: custody, trading, staking, treasury, and blockchain settlement - Ability to communicate credibly with executives, institutional customers, auditors, and regulators Bonus - Experience scaling an org toward a chartered or licensed financial entity - Background delivering both managed-service and licensed-software products (**This is not a guarantee of compensation or salary, a final offer amount may vary based on factors including but not limited to experience and geographic location.) WHY AVA LABS? If you've ever thought about joining an early stage Web3 company - this is it! We're a global, world-class team of experts in computer science, economics, finance, marketing, and law with offices in New York City and Miami. We're highly passionate about Web3 and redefining the way people build and use finance and decentralized applications of all kinds. The company received early-stage funding from Andreessen Horowitz, Initialized Capital, and Polychain Capital, with angel investments from Balaji Srinivasan and Naval Ravikant. Join us and be a pioneer in a new technology that will have implications across a range of verticals such as finance, gaming, investing, collectibles, among many others. Ava Labs is committed to diversity in the workplace and we’re proud to be an Equal Opportunity Employer. We do not hire on basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided on the basis of qualifications, merit, and business need.

Location: United States (Remote); United Kingdom (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. About the Role   We're looking for a Forward Deployed Engineer that will work directly with customers to ensure successful Teleport deployments. You will meet regularly with customers, understand pain points blocking deployments and remove roadblocks. This includes writing and fixing IaC deployments (like Helm charts), developing workarounds, and writing Go code to fix bugs and implement small features. For more complex issues, you will work with customers to articulate the problem they are trying to solve, gather requirements, and make the business case to the product and engineering teams to invest in resolving the issue. What You'll Do - This job sits at the intersection of product, engineering, and revenue. - You won't just work closely with the engineering team, you will be on the engineering team. - The range of problem solving includes networking, performance, security and integrations with existing systems. - Most of the code you will write will be open source. - Our products are loved by their users, you'll get to meet them regularly. What We're Looking For - Excellent communication skills. - Willing to travel to customer sites. - Infrastructure as Code (IaC) experience (like Terraform, Ansible, Helm). - Linux systems engineering experience. - Go or Rust experience. - As we are a startup, you should be comfortable changing the area of focus and working directly with customers. How We Hire - You will join 30 minute intro call and we will walk you through the compensation, interview process and requirements - You will join a 30 minute call with the hiring manager, and we will walk you through the take home exercise and help answer questions - You join a Slack channel and submit a coding challenge https://github.com/gravitational/careers/blob/main/challenges/sre/challenge.md using Github Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology and personalized insights help members improve recovery, sleep, training, and overall health. WHOOP is hiring a Senior Manager of Performance Marketing to manage global performance marketing programs that drive sustainable member growth. This role will partner closely with Brand Media, Marketing Analytics, Creative, Marketing Strategy & Operations, Product, and Finance teams to maximize marketing effectiveness and business impact. The ideal candidate is a data-driven marketer who thrives in fast-paced environments, balances strategic thinking with operational excellence, and is passionate about leveraging insights to accelerate growth at scale. RESPONSIBILITIES: - Manage performance marketing programs across key paid acquisition channels, including paid social, search, video, and emerging platforms to drive efficient member acquisition and revenue growth. - Develop and manage channel budgets, forecasting models, and investment strategies to optimize customer acquisition cost (CAC), return on ad spend (ROAS), and overall marketing efficiency. - Allocate and optimize media spend across global campaigns, markets, channels, and audiences to maximize business outcomes while balancing efficiency and growth objectives. - Partner with Marketing Analytics to establish measurement frameworks, evaluate incrementality, and generate actionable insights that inform growth strategies and investment decisions. - Collaborate with Creative, Brand Media, and Marketing Strategy & Operations teams to develop testing roadmaps, improve creative performance, and enhance audience targeting and messaging. - Identify and evaluate new acquisition opportunities, platforms, technologies, and partnerships that can unlock scalable growth. - Partner cross-functionally with Growth Product and Lifecycle Marketing teams to improve attribution, conversion tracking, and end-to-end member acquisition experiences. QUALIFICATIONS: - 7+ years of experience in performance marketing, growth marketing, digital acquisition, or related disciplines, with a proven track record of driving measurable business results. - Experience managing and optimizing large-scale paid media budgets across multiple acquisition channels. - Strong analytical skills with experience leveraging data to inform decision-making, measure performance, and prioritize opportunities. - Demonstrated ability to build forecasting models, manage budgets, and communicate business impact to senior stakeholders. - Experience partnering effectively with cross-functional teams including Marketing Analytics, Product, Creative, Finance, Brand Media, and Engineering. - Strong understanding of attribution methodologies, experimentation frameworks, conversion optimization, and marketing measurement best practices. - Experience in direct-to-consumer (DTC) businesses and a demonstrated ability to succeed in fast-moving, high-growth environments where priorities evolve quickly. - Ability to operate effectively in ambiguous environments, prioritize competing initiatives, and execute with a high degree of ownership. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $130,000 - $170,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.  In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Canada - Remote Workplace: Remote ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. ABOUT THE RETAIL TEAM - Sierra is partnering with a large and growing number of retailers - spanning apparel and beauty, grocery and big-box, home and auto, consumer services, marketplaces, and consumer technology. Our agents help millions of shoppers and members every day: tracking and returning orders, finding the right product, booking services, and resolving issues in each brand’s own voice. - Retail is also where AI agents go beyond support to generate revenue. From product discovery and personalized recommendations to cart recovery, win-back campaigns, and in-store support that turns unanswered store calls into visits and sales, our team is redefining what an agent can do for a brand’s top line - not just its cost line. - Join us to transform how the world’s most-loved consumer brands engage their customers - and help build technology that makes shopping more personal, effortless, and delightful for everyone. WHAT YOU'LL DO - Independently drive complex enterprise deals end-to-end: Manage a broad enterprise book with strong autonomy, leading 6- and 7-figure deal cycles from prospecting to close. - Multi-thread to the C-suite: Lead VP-level conversations, build durable C-suite relationships across customer orgs, and earn credibility quickly with new stakeholders. - Manage risk proactively: Identify and manage deal risk early; build rigorous stakeholder maps for your accounts. - Make the hard calls: Partner with your manager (and, at the senior level, operate more independently) on pricing, escalation timing, exec alignment, and deal strategy — coming to the table with a point of view, not just a problem. - Leverage leadership & co-founders: Bring in Sierra's co-founders effectively for exec engagement when it moves a deal. - Raise the bar: Act as a visible, steady leader on deal teams; proactively elevate the team's standard without being asked. - Operate as an AI-native seller: Leverage AI tools across the full sales cycle- account research, personalized outreach, call summarization, pipeline forecasting, and deal execution- to automate low-value tasks and reinvest that time into high-value customer relationships, while continuously adopting and experimenting with new tools to work faster and smarter than traditional methods allow. WHAT YOU'LL BRING - 8- 10 years of enterprise customer-facing sales experience, identifying and closing large accounts. - Experience managing a $1M+ quota and running end-to-end complex 6- and 7-figure ACV deals. - Proven ability to multi-thread and build trusted relationships across customer C-suites. - Exceptional verbal and written communication. - Analytical mindset - you analyze market trends, spot opportunities, and make data-driven decisions. EVEN BETTER... - Familiarity with the AI landscape, key players, and emerging trends. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Paris; Amsterdam; Warsaw; Munich; London; Berlin Workplace: Remote ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE As a Software Engineer, Network Automation - Data Center Fabrics, you will help design and build systems for operating large-scale networks within our data centers. You will apply deep networking expertise to leaf-spine architecture, automation, testing, and production troubleshooting across Ethernet switching, IP routing, BGP, EVPN/VXLAN, and VRFs. This is a hands-on role for a networking expert who is also comfortable building production software. Go and Kubernetes experience are helpful but not required; strong engineering fundamentals and network automation experience matter more. WHAT YOU WILL DO - Design and evolve leaf-spine underlays, EVPN/VXLAN overlays, and tenant connectivity for multi-tenant AI infrastructure. - Translate data-center fabric requirements and safety properties into clear APIs, data models, validation, and automation. - Build reliable control-plane software that reconciles desired and observed network state. - Design safe change workflows with validation, dry runs, atomic updates, observability, and failure recovery. - Integrate with data-center switch operating systems and management APIs while maintaining vendor-neutral abstractions where practical. - Participate in the on-call rotation, troubleshoot active data-center network incidents, restore service, and turn root causes into lasting improvements. - Review designs and code, explain networking trade-offs, and help raise network engineering quality across the organization. - Develop lab and production tests and turn operational lessons into better software and architecture. WHAT WE’RE LOOKING FOR - Deep hands-on experience with Ethernet switching, IP routing, BGP-based leaf-spine fabrics, EVPN/VXLAN, and VRF-based multitenancy. - Strong judgment around fabric underlay and overlay design, scale, convergence, isolation, and failure modes. - Experience building or operating production network automation, including desired state, idempotency, concurrency, observability, and recovery. - Strong software-engineering fundamentals in a general-purpose language. You can design, test, debug, and review production systems and are willing to become productive in Go. - Experience with southbound network APIs and structured configuration, such as REST, gNMI/OpenConfig, or NETCONF. - Hands-on experience with major data-center network operating systems, such as Cumulus Linux, Arista EOS, SONiC, Junos, or NX-OS. - Strong diagnostic skills using routing and EVPN state, packet captures, counters, telemetry, and logs. - Clear, pragmatic communication and a collaborative approach to technical leadership. NICE TO HAVE - Experience reading, reviewing, or contributing to Go code. - Familiarity with Kubernetes controllers, operators, CRDs, reconciliation, or Kubebuilder. - Experience with physical or simulated network labs such as containerlab, NVIDIA Air, EVE-NG, GNS3, or similar environments. - Experience with high-performance Ethernet, RoCE, InfiniBand, HPC, or large-scale GPU infrastructure. 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: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Senior Technical Program Manager (NPI) to lead manufacturing development and launch execution for new hardware programs. This role owns the manufacturing and operations NPI workstream from early concept through production ramp, working closely with Engineering, Operations, and manufacturing partners to ensure build readiness, factory readiness, issue resolution, and high-quality program delivery. You’ll work closely with Hardware Engineering, Manufacturing Engineering, Test Engineering, Quality, CapEx, Supply Chain, and Operations teams, both at WHOOP HQ and at production sites, to ensure our products are developed, validated, and launched on time, at scale, and at the right quality. The ideal candidate has hands-on experience supporting complex consumer electronics or high-volume hardware programs through EVT, DVT, PVT, and ramp, and is comfortable driving decisions in ambiguous, fast-moving launch environments. RESPONSIBILITIES: - Own end-to-end manufacturing program execution for a hardware product from early development through mass production launch, serving as the primary manufacturing program lead. - Lead manufacturing readiness across EVT, DVT, PVT, pre-production, and production ramp, ensuring milestones are achieved on schedule and with high quality. - Develop and maintain integrated program plans, build schedules, critical paths, risk registers, issue trackers, and validation milestones across internal teams and manufacturing partners. - Drive manufacturing process development, documentation, optimization, and validation in partnership with Manufacturing Engineering, Test Engineering, Quality, and Operations. - Coordinate build planning and execution, including build objectives, factory readiness, equipment deployment, process validation, test integration, issue resolution, post-build closure, and exit criteria for each build phase. - Drive ramp readiness by ensuring yield, throughput, capacity, staffing, equipment, process documentation, and operational handoff criteria are understood, tracked, and achieved before mass production. - Establish and drive the manufacturing NPI operating cadence during critical program phases, including build readiness reviews, cross-functional issue reviews, leadership updates, timely decisions, and accountability across a focused cross-functional team. - Identify program risks early and drive cross-functional issue resolution with clear ownership, root cause analysis, corrective actions, escalation paths, and recovery plans while balancing schedule, quality, cost, and manufacturing readiness. - Communicate clear program status, key decisions, risks, and recovery plans to engineering, operations, and leadership stakeholders. - Build strong working relationships with contract manufacturers and suppliers to ensure successful execution of manufacturing activities and production readiness. - Contribute to improving manufacturing program management processes, documentation, and tools to enable more scalable and predictable NPI execution. QUALIFICATIONS: - Bachelor's degree in Engineering, Supply Chain, Manufacturing, or a related technical field. - 5+ years of experience in technical program management, manufacturing development, hardware engineering, or a related field. - Experience owning at least one complete hardware product development cycle from prototype through mass production launch, including EVT, DVT, PVT, and production ramp. - Proven ability to independently lead manufacturing programs with cross-functional engineering teams and external manufacturing partners. - Experience working directly with overseas manufacturing partners, particularly in Asia, within consumer electronics or other high-volume hardware industries. - Strong understanding of manufacturing processes including SMT, mechanical assembly, test, validation, and pack-out. - Demonstrated ability to navigate ambiguity, prioritize effectively, and drive decisions across engineering and operations teams. - Excellent communication and organizational skills, with the ability to tailor messaging for technical teams and leadership audiences. - Proficiency with Excel, Jira, Confluence, Gantt/scheduling tools, Google Workspace, and PLM systems (Arena preferred). - Willingness to travel internationally up to 25% to support supplier builds, validation activities, and production launches. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000 - $195,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package..    These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Boston, MA Workplace: OnSite WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. Our Machine Learning Core Algorithms team is responsible for developing novel algorithms and features that expand our health and fitness capabilities with wearable sensor data. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. This role is located on our Core Algorithms team: performance-related insights for sleep, recovery, and exercise. As a Senior Machine Learning Engineer on our Core Algorithms team, you will design, build, and productionize ML systems that deliver meaningful, personalized metrics to millions of members. You will own the ML systems you build in collaboration with applied machine learning scientists. You will work at the intersection of data science, backend engineering, and cloud infrastructure – deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML systems. Responsibilities: - Create, improve, and maintain production services that provide analysis for core features in collaboration with applied ML scientists and MLOps engineers. - Improve ML data pipelines, tooling, and validation systems that support robust model performance. - Work alongside applied ML scientists to translate research prototypes into production ML systems optimized for scale, latency and cost efficiency. - Collaborate with researchers and Product teams to align model development with physiological insights and member impact. - Build operational maturity within the Core Algorithms team as well as the broader Machine Learning team, developing processes for observability, alerting, and incident response (including on-call rotations). - Develop applied ML operational infrastructure (frameworks, evaluation criteria, performance validation). - Mentor other engineers and applied ML scientists on production practices, raising the bar through code and system design review. Qualifications: - Bachelor’s Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred). - 4+ years of professional experience as an ML engineer, applied researcher, or software engineer with a focus on ML systems. - Experience working with time series data (wearable, physiological, or high-frequency sensor data). - Strong coding skills in Python with a track record of writing clean, production-quality code. - Experience designing, deploying and operating ML production systems at production scale (millions of users, real-time streaming and/or large-scale batch). - Experience deploying and maintaining ML backend services (APIs, reliability, observability, monitoring; AWS or GCP). - Preferred: 2+ years experience applying advanced mathematical and statistical techniques. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000-$210,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Serbia Workplace: remote About You We’re looking for a Web3 Fullstack Engineer to build the layer where web2 and web3 meet. Our mission is seamless web2 ↔ web3 integration — letting players and developers interact with digital items and move them through their full lifecycle (mint, own, trade, transfer, redeem, retire) without ever having to think about which side of the chain they’re on. You’ll work across the whole stack: wallet-connected frontends, high-throughput backend services, and the smart contract and indexing layers that make on-chain items feel as fast and familiar as anything in web2. This is a hands-on engineering role with broad ownership. A player buying an item with a credit card, a game granting an in-game asset, and a marketplace settling a peer-to-peer trade should all resolve to the same coherent item model — regardless of whether the item lives in a database, a custodial wallet, or on-chain. Making that experience invisible to the end user, and reliable for the developer, is the core of the job. You care about product quality and developer experience as much as protocol correctness. You’re comfortable owning a feature end to end, reasoning about trust and custody boundaries, and making pragmatic calls about what belongs on-chain versus off-chain.   About Us Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com Responsibilities Build Seamless Web2 ↔ Web3 Integration — Design and ship the flows that let users move between traditional accounts/payments and on-chain wallets without friction: custodial and non-custodial wallets, account abstraction, gasless transactions, and fiat on-ramps. Own the Digital Item Lifecycle — Build the systems behind item mint, ownership, transfer, trading, and redemption — keeping on-chain state and off-chain records consistent, auditable, and fast. Develop Fullstack Features — Deliver end to end across wallet-connected frontends, backend services, and the smart contract / indexing layer that powers item ownership and turnover. Model Items & Ownership — Design data models and APIs that represent items uniformly whether they live off-chain, in a custodial wallet, or on-chain, and keep them in sync. Ensure Reliability of Value Flows — Anything that moves items or money must be correct under failure: idempotency, reconciliation, replay safety, and clear recovery paths. Integrate Blockchains & Marketplaces — Interact with EVM chains, token standards, indexers, and marketplace/settlement flows; abstract their differences behind clean internal interfaces. Collaborate Across Teams — Work with product, security, payments, and game-facing teams to turn business needs into well-scoped technical plans, and document decisions so they stand on their own. What You Bring Web3 & Digital Assets Web2 ↔ Web3 Integration — Hands-on experience bridging traditional systems with on-chain ones: wallet onboarding, custodial vs. non-custodial trade-offs, account abstraction, gasless/relayed transactions. EVM & Smart Contracts — Working knowledge of EVM chains and Solidity, including reading, integrating with, and reasoning about the safety of contracts. Token & Item Standards — Practical understanding of ERC-20, ERC-721, and ERC-1155, and how they map to real game items, ownership, and transfers. On-chain / Off-chain Sync — Experience keeping blockchain state consistent with off-chain databases: indexing, event ingestion, reorg handling, and reconciliation. Frontend Engineering TypeScript & React — Strong TypeScript and React skills for building responsive, production-grade interfaces. Wallet Integration — Experience with wallet connectivity and web3 client libraries (e.g. wagmi, viem, ethers.js, WalletConnect) and embedded/social login wallets. Backend Engineering Backend Services — Solid backend skills in Node.js and Go: clean APIs, concurrency, and performance under load. Distributed Systems — Experience with distributed systems and their trade-offs (consistency, availability, failure modes), especially where correctness of value transfer matters. Data & Infrastructure PostgreSQL — Schema design, query optimization, and migrations at scale. Kubernetes — Deploying, operating, and debugging services in a k8s environment. Message Streaming — Kafka or NATS — event-driven patterns, consumer groups, at-least-once delivery. Git & CI/CD — Git and modern CI/CD practices. Domain Context Gaming Industry Experience — Experience building or operating platforms for game developers, publishers, or players — especially anything touching in-game items, economies, or ownership. Nice to Have Experience building NFT marketplaces, item trading, or secondary-market / settlement systems Familiarity with blockchain indexing tooling (The Graph, custom indexers) and node/RPC infrastructure Experience with account abstraction (ERC-4337), smart wallets, or paymaster/relayer setups Background in payments or fiat on-ramp integration bridging traditional commerce and crypto Experience with non-EVM ecosystems (Solana, etc.) or cross-chain / bridging patterns Familiarity with security and compliance relevant to digital assets: custody, key management, audit logging, KYC/AML touchpoints Contributions to open-source web3, wallet, or tooling projects Hands-on, up-to-date experience with modern AI tools (e.g. Claude, Copilot, Cursor) for code generation, review, and accelerating day-to-day engineering work 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 through a comprehensive Benefits Program. This includes unlimited Flexible Time Off 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.   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: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Team Own the account backbone of a CeFi platform trusted by millions — login, registration, account security, MFA, Passkey — where a single security regression is measured in real user funds. The more senior you are, the more you set the technical direction others build on. What You'll Be Doing Own account-system subsystems end-to-end — authentication, MFA, Passkey/WebAuthn, session & device trust, account registration and recovery — including architecture, tradeoffs, and long-term evolution. Design flows that are secure and low-friction at millions-of-DAU scale — the hardest tradeoff in this space. Partner with risk & security teams to turn threat models into shipped mobile defenses. Build our AI-native engineering practice — design automated development workflows and harness systems (agents, evals, guardrails, CI integration) that let AI do real engineering work, while safeguarding delivery quality and efficiency . Raise the bar through design and code review, and by making the engineers around you better. At the Staff level: set technical direction beyond your own subsystem and drive cross-team, cross-timezone decisions that shape the account platform. What We Look For In You Deep, hands-on experience building native iOS and/or Android — you understand the platform, not just a framework on top of it. Experience with a cross-platform / shared business-logic layer . We build ours in Rust + UniFFI ; direct Rust-on-mobile experience is a strong plus, but experience with any shared-logic approach — KMP, Flutter, or React Native — transfers well and is valued. Fluent in at least one of: Swift / Kotlin / Rust / Objective-C / Java / JavaScript , with strong CS fundamentals. Architecture experience with large-scale mobile apps — you've applied maintainable design patterns and own solutions from requirements through to production. Hands-on with mobile authentication & security — OAuth/OIDC, MFA, secure storage (Keychain/Keystore), biometrics. Direct experience with Passkey / WebAuthn / FIDO2 is a strong advantage — it's live in our stack and central to what you'll work on. Solid grasp of threat modeling and the mobile attack surface. You apply AI deeply in your own engineering — not just code generation . You've built, or are driven to build, automated development workflows and harnesses that make delivery both faster and more reliable . Solid grasp of LLM fundamentals, prompt engineering, RAG, and agent concepts, with hands-on experience taking an AI pipeline from scratch to shipped. Comfortable with ambiguity and high scale — you've debugged problems that only appear under real production load. Signals we value: you naturally raise the standard of teams you join , mentor without being asked, and can grow into a technical anchor for the group. Nice-To-Haves Fraud / risk, cryptography, or regulated-industry (fintech) experience. Experience with mini-program or dynamic/hot-update frameworks . Crypto trading / Web3 experience. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Lagos, Nigeria Who We Are We’re a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience. The Role The Cloud Network and Infrastructure Engineer is responsible for designing, implementing, securing, and optimizing the Bank's hybrid infrastructure across Amazon Web Services (AWS) and on-premises environments. The role ensures the availability, reliability, performance, scalability, and security of enterprise infrastructure while supporting business-critical systems, cloud adoption, disaster recovery, and operational excellence. This role is ideal for someone who has strong expertise in cloud infrastructure, enterprise networking, systems administration, and infrastructure security, with the ability to manage hybrid environments in a fast-paced financial services organization. What You Will Do Design, deploy, administer, and support AWS cloud infrastructure, including compute, networking, storage, identity, monitoring, backup, and security services. Manage on-premises infrastructure, including Windows and Linux servers, virtualization platforms, storage, firewalls, switches, wireless infrastructure, and data center environments. Configure and maintain secure hybrid connectivity between AWS and on-premises environments using VPN, Direct Connect, routing, DNS, load balancing, and network segmentation. Monitor infrastructure performance, availability, capacity, and security using appropriate monitoring and alerting tools. Support business-critical applications through proactive incident management, troubleshooting, and root cause analysis. Implement and maintain infrastructure security controls, including IAM, access management, patch management, vulnerability remediation, encryption, logging, and firewall administration. Develop and maintain backup, disaster recovery, high availability, and business continuity solutions. Automate infrastructure provisioning and operational tasks using scripting and Infrastructure-as-Code (IaC) tools. Maintain infrastructure documentation, architecture diagrams, asset inventories, configuration baselines, and operational procedures. Participate in change management, incident management, problem management, audit activities, and compliance remediation. Optimize infrastructure and cloud costs through resource utilization reviews and capacity planning. Collaborate with Security, Applications, Database, Service Desk, and Business teams to deliver reliable infrastructure services. Requirements What You Bring Educational Qualification Bachelor's degree or Higher National Diploma in Computer Science, Information Technology, Engineering, or a related discipline. Professional Certifications AWS Certified Solutions Architect (Associate or Professional). AWS Certified SysOps Administrator. CCNA or CCNP. CompTIA Network+ or Security+. Microsoft Certified (Azure Administrator), VMware, Linux, or equivalent certifications. ITIL Foundation certification is an added advantage. Experience Minimum of 3–5 years of experience in Cloud, Network, Systems, or Infrastructure Engineering roles. Hands-on experience managing AWS cloud infrastructure and enterprise on-premises environments. Experience supporting hybrid cloud infrastructure within financial services, fintech, banking, or other regulated industries is an added advantage. Professional Competencies Strong knowledge of AWS services, including EC2, VPC, IAM, S3, RDS, CloudWatch, CloudTrail, Route 53, ELB, Auto Scaling, AWS Backup, and Systems Manager. Strong networking knowledge covering TCP/IP, routing, switching, VLANs, VPNs, DNS, DHCP, NAT, firewalls, wireless networks, and network security. Experience administering Windows Server, Linux, Active Directory, virtualization platforms, storage, backup, and patch management. Knowledge of infrastructure automation using PowerShell, Bash, Python, Terraform, CloudFormation, or similar tools. Strong understanding of infrastructure security, access controls, vulnerability remediation, hardening, encryption, logging, and compliance. Experience with infrastructure monitoring, capacity planning, incident response, performance tuning, and root cause analysis. Excellent analytical, troubleshooting, communication, and stakeholder management skills. Strong ownership mindset with attention to detail and the ability to work effectively under pressure. Ability to collaborate across Infrastructure, Security, Applications, Audit, and Business teams while driving continuous improvement. This Role Is Ideal For You If: You enjoy designing, managing, and optimizing cloud and hybrid infrastructure. You are passionate about cloud technologies, networking, and infrastructure security. You enjoy troubleshooting complex technical issues and improving system reliability. You thrive in highly available, mission-critical environments. You enjoy automating infrastructure and improving operational efficiency. You work well across cross-functional teams and can effectively manage multiple priorities. You May Not Enjoy This Role If: You prefer purely application development over infrastructure and platform engineering. You are uncomfortable responding to production incidents or participating in on-call support. You dislike troubleshooting complex infrastructure and networking issues. You are not interested in security, compliance, or operational governance. You prefer highly repetitive work with limited opportunities for continuous improvement. Benefits What's In It For You Opportunity to build and manage enterprise-grade cloud and hybrid infrastructure in a leading fintech organization. Hands-on experience with modern AWS technologies, automation tools, and enterprise networking solutions. Exposure to large-scale infrastructure modernization and cloud transformation initiatives. Opportunity to collaborate with Security, Product, Engineering, and Operations teams on business-critical platforms. Continuous learning, professional certifications, and career development opportunities. Competitive compensation and the opportunity to solve complex, real-world technology challenges.

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 Anthropic manages one of the industry's largest AI fleets — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around Capacity. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, normalize billing and usage across cloud providers, and serve the BigQuery tables the rest of the org queries against. Correctness, completeness, and latency are the job, not a footnote. Consumers range from research engineers to finance to leadership, so it's product work as much as engineering: defining schema contracts, making data discoverable, and figuring out what people actually need. Planning Knowing what the fleet has, where it's going, and what's in the way. Making the state of the fleet legible and actionable in real time: cluster health tooling, capacity planning platforms, alerting on occupancy drops and allocation problems, and systemic fixes to scheduling and fragmentation. Kubernetes operations on one side, cross-team coordination on the other. Efficiency Measuring and improving how effectively every major workload uses the hardware it runs on. Instrumenting utilization across training, inference, and eval systems, building benchmarking infrastructure, establishing per-config baselines, and working directly with system-owning teams to close the gaps. The metric has to be good enough that the team on the hook for it agrees with the number. Attribution and forecasting Connecting what the fleet costs to what the business is doing with it. Reconciling CSP billing exports against vendor telemetry and internal systems with mismatched schemas, attributing spend to the workloads and teams that generate it, and turning inference demand signals and research roadmaps into a defensible compute plan. Efficiency metrics have to survive contact with finance: stripped of pure demand and unit-price effects, reproducible month over month, and legible to a CFO. Key responsibilities Build the planning and allocation stack — the tools leadership uses to allocate capacity, teams use to plan against their allocations, and the scheduler enforces. Cross-region and cross-provider placement, guardrails, queueing, occupancy KPIs. Drive the efficiency programs: stranding and rightsizing, unused capacity recovery, and job-level utilization across training, inference, and eval. Establish per-config baselines and work with system-owning teams to close the gaps. Directly influence decisions around a significant area of company investment. Own attribution and forecasting — reconcile billing across ten-plus providers against telemetry and internal systems, attribute spend to the workloads that generate it, and turn demand signals and research roadmaps into a defensible compute plan and supply pipeline. Build the data platform underneath all of it: pipelines ingesting occupancy, utilization, and cost from a rapidly diversifying fleet into BigQuery, with real ownership of completeness, latency SLOs, and gap detection. Every new provider is a net-new integration. Operate Kubernetes-native systems at scale — collection agents, workload labeling, and the taint/reservation/scheduling behavior that determines what capacity is actually usable. Treat the output as a product, not a pipeline. Gather your own requirements, define schema contracts, and design for consumers ranging from research engineers to a CFO — including on-call and SLOs, because these surfaces are load-bearing for the company. What you bring A strong track record building and operating production systems. This is a hands-on engineering role with a devops flavor. Python and SQL at production quality. Most pipeline code is Python; the presentation layer is BigQuery SQL, including table-valued functions and views. Both need to be idiomatic, well-tested, and maintainable. Deep experience with at least one major cloud provider (Amazon Web Services, Google Cloud, or Microsoft Azure) and its operations Experience with observability tooling stack, including Prometheus, PromQL, and Grafana, including writing recording rules and building monitoring that engineering teams rely on. Ability to gather your own requirements and work across organizational boundaries in an ambiguous environment with limited direction. Preferred qualifications Experience with capacity planning, resource management, or cost attribution systems at a hyperscaler or in a large-scale machine learning environment. Time spent in product engineering and developer experience absolutely counts here. Scheduling and packing efficiency experience, or profiling-driven optimization of large distributed workloads. Multi-cloud data ingestion experience, especially normalizing billing exports, reservation APIs, on-demand capacity reservations, commitments, and vendor telemetry from providers with different billing arrangements. Total cost of ownership and forecasting experience, including decomposing whether infrastructure growth is causal or correlated with business drivers. Accelerator infrastructure familiarity. GPU metrics (DCGM), TPU utilization, Trainium power and utilization metrics, or experience with machine learning training and inference systems at the hardware level. Experience building internal data products with self-service access, schema contracts, API serving, documentation, and discoverability. Not just pipelines, but thinking about how the data gets consumed. Storage efficiency, retention, and lifecycle program experience at very large scale. 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 — $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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be account compromise: Anthropic's enforcement systems have to distinguish customers whose accounts have been compromised from actors abusing the platform — and today those two populations can look identical in the data. Stolen credentials and leaked keys are a growing abuse vector, and the collateral damage from enforcement against them lands on legitimate users. You'll own this problem end to end: detection, revocation, user notification, remediation, and the criteria for restoring access — turning what is today ad hoc incident response into a scalable, repeatable program. This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Key responsibilities Investigate credential-compromise incidents across first-party and third-party platforms, tracing actor behavior across accounts and surfaces Design and operate remediation workflows for compromised accounts: revocation, customer notification, and standards for restoring access Partner with Engineering and Data Science teams to improve how we separate compromised-customer traffic from willful abuse Enforce usage policies with a focus on detecting and mitigating potentially harmful use of AI systems Work with threat intelligence on emerging credential-abuse patterns and the actors behind them Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows Write the policy framework for compromise scenarios, including cases where Anthropic can't independently verify a customer's security posture Act as the enforcement SME when account compromise intersects with active abuse investigations Minimum qualifications Experience in trust and safety, fraud investigation, security operations, or a related field Subject matter expertise in one or more of: account takeover, credential abuse, session security, or incident response Experience designing or operating enforcement, remediation, or customer-recovery flows — not just detection Comfort using data (SQL or similar tools) to trace actor behavior across accounts and to measure what's working A thoughtful perspective on the tension between protecting the platform and restoring access for legitimate compromised customers Strong written communication skills, with experience producing clear briefs about messy incidents for technical and non-technical stakeholders Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams Preferred qualifications Familiarity with credential-theft ecosystems or threat intelligence tooling Experience working with fraud/risk vendors (e.g., device or network intelligence platforms) Experience with API platform abuse specifically, not just consumer-account ATO A deep interest in AI safety and responsible technology development Experience writing effective prompts for generative AI systems in a content review or enforcement context 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: $245,000 — $285,000 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.