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Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran needs an engineer-architect who can make the AI analyst experience real, dependable, and extensible. This role owns the architecture behind the analyst AI system, including metadata contracts, tool interfaces, context assembly, prompt and skill orchestration, evaluation loops, and the operational patterns that make agents useful in real workflows instead of isolated demos. This is a systems role as much as an AI role. The challenge is not just getting an LLM to do something impressive once. The challenge is building a product-quality analyst system that can reason over schema and business context, use tools correctly, recover from ambiguity, and improve through disciplined evaluation and iteration. This is a full-time, hybrid position based at our Oakland, CA office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. What You'll Do Define the architecture for the analyst AI stack across prompts, tools, metadata, memory and context strategies, evaluation, and runtime safety. Build the abstractions and interfaces that allow product teams to add new agent capabilities without creating brittle prompt sprawl. Design retrieval and context strategies that give the model the right information at the right time with strong cost, latency, and quality tradeoffs. Establish evaluation loops, benchmark suites, and review processes so model behavior can be measured, debugged, and improved systematically. Partner with product, engineering, and analyst-domain experts to translate real analytical workflows into robust AI-assisted product capabilities. Drive quality standards around correctness, trust, transparency, and failure handling in analyst-facing AI experiences. What We're Looking For Deep experience building AI-enabled product systems, not just running experiments. Strong software architecture skills, especially around APIs, contracts, orchestration, and system boundaries. Practical understanding of LLM prompting, tool use, retrieval, structured outputs, and evaluation methods. Ability to work fluently across backend engineering, product constraints, and user workflow design. Clear judgment about where agent systems should be flexible and where they should be constrained. Comfort working in ambiguous environments where patterns are still being invented. Why This Role Matters The quality of the AI analyst experience will shape how differentiated Fivetran feels. This role determines whether the system is merely novel or actually reliable enough to become part of an analyst's day-to-day workflow. Strong architecture here reduces product risk and creates leverage for the rest of the team. #LI-HYBRID #LI-DJ1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $251,835 — $314,794 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

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 is seeking Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on, from metrics and logging pipelines to distributed tracing, profiling, error analytics, alerting, and the dashboards and query interfaces that make it all actionable. By joining this team, you'll have a direct impact on the reliability and operational excellence of Anthropic's research and product systems. As Anthropic scales its infrastructure across large GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude, and an increasing share of the most challenging problems live below the application layer. We're building next-generation observability systems, including high-throughput telemetry pipelines, fleet-wide continuous profiling, eBPF-based tracing and network visibility, and agentic diagnostic tools, so engineers can detect, diagnose, and resolve issues in minutes rather than hours, even when the answer lies in the kernel, the network stack, or an accelerator rather than on a dashboard. Key responsibilities Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic's multi-cluster infrastructure Build observability solutions that give engineers deep, low-overhead visibility into system behavior across the fleet Own and evolve core observability platforms, leading migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth Build instrumentation libraries, SDKs, and eBPF-based auto-instrumentation to emit high-quality telemetry, with and without code changes Reduce mean time to detection and resolution by building cross-signal correlation (from kernel-level events up to application traces), unified query interfaces, and AI-assisted diagnostic tooling Improve fleet-wide efficiency by turning continuous profiling and utilization telemetry into actionable optimization insights across CPU, memory, and accelerator fleets Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization Minimum qualifications Experience building and operating large-scale observability or monitoring infrastructure Hands-on experience with observability signals end to end, from instrumentation through ingest to query and analysis Understanding of high-throughput telemetry pipelines and the tradeoffs involved in collecting, storing, and querying operational data at scale Comfort debugging below the application layer, in the kernel, the network stack, or the hardware Excellent communication skills and the ability to partner with internal teams to improve their operational visibility and incident response capabilities Ability to work independently on ambiguous, high-impact technical challenges Preferred qualifications Experience building or operating eBPF-based observability in production, such as tracing, profiling, or network visibility Experience running continuous profiling at fleet scale, including managing overhead budgets and symbolization Kernel- and syscall-level debugging experience and performance engineering skills Experience profiling or instrumenting accelerator workloads Experience operating metrics systems at very high cardinality, or large-scale telemetry storage backends Experience with log storage migrations or operating columnar databases (e.g., ClickHouse, BigQuery) for analytics workloads Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting Enthusiasm for building foundational infrastructure 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Noida, India Workplace: hybrid TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization. We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact? The TeamViewer ONE platform is focused on small and medium businesses and finds and resolves IT issues before they affect users. Over the past several years we have successfully built and released products which makes IT administrators' day-to-day life easier. Our vision is to become THE autonomous endpoint management solution for our customers. Responsibilities: We’re looking for a Senior/ Staff Software Engineer to play a key role in supporting and enhancing our TeamViewer ONE capabilities, trusted by small and medium business customers. In this role, you’ll be essential to maintaining and improving the experience for our existing customers, while helping evolve our User Experience and SaaS cloud platform.  You will also bring in expertise in using technologies - like React, Typescript, Javascript, CSS, Open API, Redux, Webpack. As part of an agile team, you’ll contribute as an individual contributor, working primarily with Typescript, react to enhance our product TeamViewer ONE, which will run as containerized services on Kubernetes. You will be expected to guide and mentor other team members. Build services for our TeamViewer ONE solution, by enabling the platform and clients, to derive insights Design and develop new functionality and components for our software using coding languages but not limited to JavaScript, React, Typescript, CSS3 Collaborate with front-end engineers, backend engineers and quality assurance engineers to design optimum solutions, balancing performance, costs and long-term maintainability Continuously integrate, build and deploy our solution from test system to production Design, implement and consume common APIs based on architecture guidelines and frameworks Design UI-components and autogenerate them based on defined schemes Design and build usage behavior events into our frontend Create UI test cases with cypress testing framework Optimize and enhance our software with new, efficient algorithms and state-of-the-art software tools and technologies Work independently on solutions for specified requirements and be responsible for complying with time and quality specifications Ensure that our software is secure, stable, scalable and runs efficiently Monitor the latest technical developments in your field and make proposals for improvement Guide and assist other team members in engineering topics relevant for the team Coach & mentor other members in the team Act as an advisor for product managers (feasibility studies and time estimates for new functionality to be implemented) Communicate with customers to analyze & fix product defects and during major implementations Requirements: A university or college degree in the field of information technology, computer science or a related subject or relevant work experience 9+ years of professional experience in the field of software development Solid knowledge of Typescript, JavaScript, HTML, CSS is mandatory Solid knowledge of JavaScript frameworks and tools like React, Redux, Webpack, etc. Strong focus on accessibility and performance, with the ability to validate that solutions operate efficiently under increasing workloads and as a distributed system Must have experience in any of the unit test frameworks Experience in cypress UI test framework Experience in Java, C# or C++ is a plus Experience in Kubernetes, Docker, Kafka, Argo CD, Azure/AWS/GCP services (like AKS, Redis, Key Vault, Event Hub, Service Bus, SQL MI, etc.) is a plus Experience in taking architectural decisions about the development and maintenance of large-scale distributed systems and integrations with applications and user interfaces Understanding of Clean Code and Design Patterns for object-orientated programming Familiarity with AI tools for coding (like Github Co-pilot or Cursor) is a plus Familiarity with concepts of end-user-computing, log analysis, anomaly detection & correlation is a plus A positive and solution-oriented mindset paired with a structured and analytical way of thinking/working, being a team player, as well as motivated to learn new things Fluency in English is mandatory, further languages like Portuguese are a plus TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.

Location: Boston, MA; New York City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As the Sales Manager for Life Sciences at Anthropic, you’ll lead the foundational team introducing our frontier AI platform to the medtech ecosystem, spanning medical device, diagnostics, and digital health manufacturers. You’ll build and develop a team of Strategic Account Executives who drive adoption of safe, frontier AI by securing strategic deals with large medical device companies, diagnostics providers, and emerging medtech innovators. You’ll bring deep domain fluency in how medical devices are designed, validated, cleared or approved, manufactured, and monitored in the field to coach your team’s consultative sales approach, while becoming a trusted advisor yourself to senior medtech stakeholders, helping them embed and deploy AI across the product lifecycle from design and development through post-market surveillance. In collaboration with Product and Marketing, you’ll continuously refine the team’s value proposition, sales methodology, and market positioning to resonate with decision-makers across each medtech sub-segment. The ideal candidate has a passion for developing new market segments within medtech, pinpointing high-potential opportunities across engineering, regulatory, quality, manufacturing, clinical, and commercial functions, and building a team that can execute strategies to capture them. By driving deployment of Anthropic’s emerging products across medtech organizations, you’ll help them bring safer, better devices to patients faster while advancing the ethical development of AI. Key responsibilities Build and lead a specialized team of Strategic Account Executives covering medical device, diagnostics, and digital health accounts, setting growth targets by sub-segment and coaching reps through the full sales cycle from outbound to close Design and oversee sales strategies tailored to the distinct procurement cycles of medtech, including product development and engineering budgets, quality and regulatory compliance investment, manufacturing and supply chain programs, commercial and field organization budgets, and enterprise IT and digital transformation programs, translating market and trend analysis into account plans and campaigns that meet and exceed team revenue targets Identify and prioritize high-potential opportunities across product design and development, design controls and verification and validation, regulatory affairs and submissions, quality management and CAPA, manufacturing and supply chain, clinical evidence generation, complaint handling and post-market surveillance, and commercial and reimbursement functions, partnering cross-functionally to differentiate Anthropic’s offering for medtech use cases Run a disciplined pipeline and forecasting cadence across the team, managing an evolving sales process to deliver predictable, coachable performance against quota Serve as Anthropic’s domain expert across the medtech value chain, including device design and development, software as a medical device, regulatory submissions (510(k), PMA, De Novo, EU MDR), quality systems, manufacturing, post-market surveillance and vigilance reporting, and commercial launch, and translate that expertise into repeatable playbooks, frameworks, and go-to-market strategies your team and the broader field organization can scale Partner directly with C-suite and senior functional leaders (CEOs, CTOs, CIOs, Chief Quality Officers, CMOs, CCOs, and Heads of R&D, Engineering, and Regulatory Affairs) across medtech organizations to design multi-year AI transformation roadmaps and build long-term trusted advisor relationships Partner closely with Product and Applied AI to translate feedback from design engineers, regulatory and quality professionals, manufacturing teams, clinical affairs, and commercial teams into product and roadmap input, strengthening Anthropic’s value proposition across the segment Build strategic relationships with medtech-focused system integrators, technology vendors (including QMS, PLM, and ERP providers), contract manufacturers, and industry organizations to scale go-to-market capabilities Establish Anthropic’s position as the AI partner of choice across medtech through conference presentations, white papers, case studies, and participation in industry forums Codify learnings into playbooks, templates, and best practices, partnering with Marketing and Enablement to scale winning use cases and proof points across medtech accounts Minimum qualifications 10+ years of experience in life sciences, with at least 5 years specifically selling into or working within medical device, diagnostics, or medtech organizations (R&D, engineering, regulatory, quality, manufacturing, or commercial functions, or related consulting) Experience in leadership roles managing or coaching enterprise sales teams, with a track record of driving measurable revenue outcomes in medtech or adjacent life sciences settings Deep understanding of medtech business models, operations, and economics, including the device product lifecycle, the regulatory environment (FDA 21 CFR Part 820 and QMSR, ISO 13485, EU MDR, IEC 62304, 21 CFR Part 11), and competitive dynamics A track record of managing or overseeing complex, multi-stakeholder sales cycles within medtech organizations, securing strategic deals by understanding both technical requirements and engineering, regulatory, quality, and commercial use cases Proven experience exceeding revenue targets by effectively managing a team’s pipeline and an evolving sales process Excellent communication skills, with the ability to present confidently across medtech audiences, from design engineers and quality and regulatory leaders to C-suite executives A genuine interest in deploying AI responsibly and motivation to advance Anthropic’s mission of building safe, beneficial AI Preferred qualifications Deep understanding of buying cycles, decision-making processes, and key pain points across multiple medtech sub-segments (e.g., large device manufacturers, diagnostics, digital health and SaMD) and across functions (engineering, regulatory, quality, manufacturing, commercial) A strategic, analytical approach to assessing the medtech market, paired with creative, tactical execution to capture opportunities and a willingness to roll up sleeves on deals alongside the team Experience developing and refining AI use cases in collaboration with customers and channel partners, spanning design and development, regulatory and quality documentation, manufacturing, post-market surveillance, or commercial functions Experience building or scaling a specialized sales team from an early stage Passion for and/or experience with advanced AI systems and their applications in medical devices and diagnostics, with strong conviction around safe, ethical development of AI in these contexts 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: $450,000 — $700,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Casablanca, Morocco; Cairo, Egypt; Delhi, India Müller’s Solutions is looking for a skilled Google Cloud Security Engineer to enhance our cloud security framework and protect our critical systems and data on Google Cloud Platform (GCP). In this role, you will be responsible for identifying security vulnerabilities, implementing robust security measures, and ensuring compliance with industry standards while safeguarding our cloud architecture and applications. Key Responsibilities: Design, implement, and manage security controls and procedures for GCP services and resources. Perform risk assessments and security reviews to identify vulnerabilities and prioritize remediation measures. Monitor and analyze security alerts, events, and incidents across the cloud environment. Develop and enforce security policies, standards, and best practices for cloud operations. Implement Identity and Access Management (IAM) policies to control access to GCP resources effectively. Conduct regular security assessments and collaborate with development teams to ensure secure coding practices. Stay up to date with the latest security threats, vulnerabilities, and trends in cloud security. Provide security training and awareness for engineering teams to promote a security-first culture. Collaborate with incident response teams to investigate and respond to security incidents effectively. Maintain documentation of security policies, architecture, and processes related to GCP. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or a related field. 3+ years of experience in cloud security, specifically within Google Cloud Platform. Strong knowledge of cloud security best practices, frameworks, and compliance (e.g., ISO 27001, NIST, GDPR). Experience with GCP security tools and services, including Security Command Center, Cloud Armor, and Cloud Identity. Expertise in Identity and Access Management (IAM), data encryption, and security configurations in GCP. Familiarity with network security principles and solutions, such as firewalls and VPNs. Excellent analytical and problem-solving skills, with the ability to handle complex security scenarios. Strong communication skills to effectively convey technical information to diverse audiences. Preferred Qualifications: Google Cloud certifications (e.g., Google Cloud Professional Cloud Security Engineer) are desirable. Experience in scripting or programming languages, such as Python or Bash, for security automation. Knowledge of DevSecOps practices and tools. Experience with tools like SIEM, vulnerability scanners, and penetration testing frameworks. Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.

Location: Riyadh, Saudi Arabia; Cairo, Egypt; Dubai, United Arab Emirates; Casablanca, Morocco; New Delhi, India Müller’s Solutions is seeking a talented Google Cloud Engineer to join our innovative team. In this position, you will focus on designing, implementing, and managing our Google Cloud Platform (GCP) infrastructure and services. You will work to ensure optimal performance, security, and scalability of our applications hosted in the cloud while collaborating with cross-functional teams to drive cloud initiatives and enhance our cloud capabilities. Key Responsibilities: Design, deploy, and manage GCP resources, including Compute Engine, Cloud Storage, and other related services. Implement Infrastructure as Code (IaC) using tools such as Terraform or Google Deployment Manager. Oversee the configuration and management of virtual private cloud (VPC) networking and shared services. Build and maintain CI/CD pipelines to automate deployment and operational processes. Monitor and optimize GCP performance, including resource utilization and cost management. Implement robust security practices across GCP resources, ensuring compliance with industry standards. Integrate GCP services with existing systems and applications through APIs and cloud functions. Collaborate with DevOps teams to streamline workflows and support development processes. Prepare and maintain architecture documentation, operational procedures, and best practices guidelines. Provide technical support to resolve issues and enhance system performance in the GCP environment. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. 3+ years of experience in cloud engineering or architecture, specifically within Google Cloud Platform. Deep understanding of GCP services, including App Engine, Cloud Functions, Cloud Run, and Kubernetes Engine. Proficiency in scripting and programming languages such as Python, Golang, or Java. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Familiarity with networking concepts and security practices in cloud environments. Strong analytical and troubleshooting skills with attention to detail. Effective communication skills for collaboration and presenting technical information clearly. Preferred Qualifications: Google Cloud certifications (e.g., Google Cloud Professional Cloud Architect or Google Cloud Professional DevOps Engineer) are preferred. Experience in implementing CI/CD pipelines using tools like Google Cloud Build, Jenkins, or similar services. Knowledge of monitoring and logging tools such as Stackdriver or Prometheus. Understanding of DevOps methodologies and practices. Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.

Location: Dubai, United Arab Emirates; Cairo, Egypt; Delhi, India; Casablanca, Morocco; Riyadh, Saudi Arabia Müller’s Solutions is actively searching for a Google Cloud Data Engineer to enhance our data processing capabilities. In this vital role, you will be responsible for designing and implementing data pipelines leveraging Google Cloud technologies. You will work closely with data analysts, business stakeholders, and other engineering teams to ensure data is accurately processed, integrated, and made available for analysis and reporting. Key Responsibilities: Design, develop, and optimize data pipelines using Google Cloud Dataflow, Pub/Sub, and other GCP data services. Implement data lakes and data warehouses using Google BigQuery, ensuring efficient data storage, retrieval, and processing. Collaborate with data scientists and analysts to understand data requirements and provide solutions that meet business needs. Monitor and evaluate data pipeline performance, implementing necessary optimizations and troubleshooting issues as they arise. Ensure data quality by developing and implementing validation routines and data profiling techniques. Document data architecture, ETL processes, and operational procedures to facilitate knowledge sharing within the team. Stay informed of emerging trends and best practices in data engineering and GCP technologies. Participate in team efforts to define and enhance data governance and management practices. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. 3+ years of experience in data engineering, with a focus on Google Cloud Platform. Proficient in designing and implementing data pipelines using Google Cloud Dataflow, BigQuery, and related tools. Strong SQL skills and experience in data modeling and data warehousing concepts. Familiarity with programming languages such as Python or Java for data processing tasks. Ability to work with various data sources, including structured and unstructured data. Strong analytical and problem-solving skills with attention to detail. Ability to effectively communicate technical concepts to both technical and non-technical stakeholders. Preferred Qualifications: Google Cloud certifications (e.g., Google Cloud Professional Data Engineer) are highly desirable. Experience with real-time data processing using Apache Beam and Google Cloud Pub/Sub. Understanding of CI/CD practices in data engineering workflows. Knowledge of data visualization tools and techniques to present data insights effectively. Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.

Location: Dammam, Saudi Arabia Eram Talent is seeking a detail-oriented HSE Analyst to join our dedicated team in Saudi Arabia. As an esteemed Talent Acquisition Consultancy specializing in the Oil & Energy sector, we are committed to connecting talented professionals with leading companies in the industry. The HSE Analyst will be responsible for analyzing and interpreting health, safety, and environmental data, preparing reports, and supporting the implementation of HSE programs and initiatives. This role requires a strong analytical mindset, attention to detail, and a deep understanding of HSE regulations and standards. This position is based in Dammam, Saudi Arabia. Requirements Bachelor's degree in Occupational Health and Safety, Environmental Science, or a related field. Minimum of 5 years of experience in HSE analysis or a related role within the Oil & Energy industry. Thorough knowledge of HSE regulations and compliance requirements. Strong analytical and problem-solving skills, with the ability to interpret complex data. Familiarity with HSE management systems and data analysis software. Proficient in Microsoft Office Suite, particularly Excel. Excellent communication and interpersonal skills for effective collaboration with various departments. Certifications in HSE (e.g., NEBOSH, IOSH) are preferred. Ability to work independently and manage multiple projects simultaneously. Willingness to travel to different sites as needed. Collects, analyzes, and interprets data to improve workplace safety, environmental performance, and regulatory compliance. Conducting risk assessments, investigating incidents, preparing compliance reports, developing and delivering training, and collaborating with teams to implement safety initiatives and reduce hazards. This role requires a strong understanding of HSE regulations and data analysis to provide insights that support management decisions and promote a safety-first culture. EHS analyst provides support in planning, implementation and monitoring of environmental, health, and safety programs and policies to ensure compliance Track Environmental, Health and Safety metrics including Ǫuarterly KPIs and PPE Acknowledgement submissions Conduct formal and systematic reviews of campus operations and activities to ensure compliance with regulations. Responsible for the accuracy and auditing of all Safety related statistics Track safety, health and Environmental audit documents Work with affected departments to coordinate, implement and maintain employee /trainee injury prevention strategies and program(s) Provide hazard analysis, program customization, training and EHS support to activities within the organization, creative services and scripted television production activities Support the maintenance of EHS database of accidents and incidents Supports site in achieving EHS targets C objectives Track all the HSE related contracts’ submissions Organize and track HSE Campaigns HSE Records and Files control and management Skills: • HSE Analyst Ǫualifications: • Relevant degrees such as bachelor’s degree in engineering, Industrial, Safety, Health, Environmental Science • Also, certificates in HSE Fields • Desired experience for HSE analysts includes: • 3-5 years in similar field • Skills for HSE Analyst • Microsoft Office • Fluent in English Language (Speaking, Writing, Reading) • OSHA / NEBOSH • local safety regulations • EHS policies, standards and compliance • Environmental • Health • Fire Systems

Location: European Union Workplace: Remote About the Role Playson is a leading online gaming supplier with worldwide recognition which was founded in 2012. We offer complete gaming solutions based on the latest technologies and detailed market analysis for the leading iGaming operators. Operating with growth and scalability, we are excited to invite experienced Mathematicians to apply for the opening in the Game development squad. The chosen candidate will be collaborating with Product Owners and Mathematicians, and have an opportunity to contribute to the company’s overall goals. Key Responsibilities - Develop engaging game mathematics and mechanics in collaboration with Product Owners and cross-functional teams - Fine-tune game mathematics and mechanics into the best possible product - Perform simulations of game math to understand how it compares with the desired outcome and with other games in the portfolio - Provide competitive game math analysis to reveal valuable insights - Rapid prototyping of game mechanics to prove the concept - Be involved in the game creation process from start to finish - Collaborate with development teams, provide game math specifications - Be a discussion sparring partner inside our team to help build better games - Analyse risks and determine the probability of wins for player investigations - Share knowledge, establish best practices, and challenge the status quo - Provide analytical support, including Big Win validations, player session analysis, and RTP deviation monitoring to ensure game integrity and performance Requirements - Proven track record (3+ years) of successful work as a game mathematician in online gambling - Scripting skills, any programming language (Typescript, Javascript preferred) - Good understanding of main programming paradigms - Talent for solving abstract and highly complex math problems - High attention to detail: ability to spot even small mistakes in your math models and troubleshoot them - Interest in slot games both from a developer and player point of view - Ability to quickly prototype rough ideas - Basic understanding of HTTP client-server requests - Data-driven and analytical mindset in decision-making - Motivated by challenges and stretch goals - Good level of spoken and written English Nice to Have - Strong mathematical intuition, creativity, and curiosity - Ability to look at games from the players’ point of view - Practical experience with workflow management tools (Jira), collaboration software (Confluence) What we Offer - Competitive Salary: We offer a competitive salary in EUR, subject to annual performance reviews - Quarterly Bonuses: Benefit from a transparent and systematic quarterly bonus system - Flexible Schedule: We offer a flexible work schedule to accommodate your needs - Remote Work Option: Choose to work remotely, providing greater flexibility and comfort - Medical Insurance: Receive comprehensive medical insurance for both you and a significant other - Financial Support for Life Events: We provide financial support during special life events - Unlimited Paid Vacation: Enjoy unlimited paid vacation leave - Unlimited Paid Sick Leave: Take unlimited paid sick leave whenever necessary - Professional Development: Get reimbursement for professional development courses and training Recruitment Process - HR Interview - Take home assignment - Technical Interview - Final Interview By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.

Location: Kuala Lumpur Workplace: onsite ABOUT YOU We are looking for a Finance Operations Intern who is analytical, detail-oriented, and reliable to join our Finance team. The ideal candidate is someone who enjoys working with financial data, investigating discrepancies, and ensuring accuracy and consistency across financial records. You will thrive in a structured, collaborative environment where you can apply your academic knowledge to real-world financial operations and learn how an international business manages its financial processes. Strong analytical thinking, attention to detail, and a methodical approach to problem-solving are essential, along with a willingness to work with reconciliations, accounts payable balances, financial reports, and operational documentation. The ability to take ownership of assigned tasks, meet deadlines, learn new tools and processes, and approach routine work with care and consistency will be key to your success in this role. If you’re passionate about finance, working with numbers, solving problems, and continuously learning, and you’re looking to build a strong foundation for a career in Financial Operations, we would love to hear from you!   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. RESPONSIBILITIES Perform financial reconciliations with partners following established procedures and guidelines. Review completed reconciliations to check the accuracy and completeness of results. Assist with analyzing outstanding accounts payable (AP) balances and reviewing AP alerts to identify discrepancies and items requiring further investigation. Audit financial documentation in Box to check report availability, completeness, and compliance with established procedures. Review financial reports and supporting documentation for accuracy, completeness, and consistency. Assist with reviewing and updating accounts payable and accounts receivable workflows and process documentation. Maintain and update Finance Operations documentation and procedures in Confluence. Document reconciliation procedures, key learnings, identified discrepancies, and potential process improvements. Support the team with recurring financial operations tasks and other operational activities as required. QUALIFICATIONS Education: Currently in the final year of a university degree or recently graduated in Finance, Accounting, Economics, or a closely related field. Academic Performance: Minimum CGPA of 3.5 for candidates without relevant work experience, or 3.3 for candidates with relevant work experience. English Proficiency: Strong English communication skills (minimum B2). CVs and cover letters must be submitted in English. Analytical Skills: Basic understanding of financial and accounting concepts, with the ability to analyze information, identify inconsistencies, and draw logical conclusions. Attention to Detail: Careful and methodical approach to working with numbers, financial records, and documentation. Technical Skills: Basic proficiency in Microsoft Excel or Google Sheets. Familiarity with formulas, filters, and data organization is an advantage. Problem-Solving: Willingness to investigate discrepancies, ask questions, and learn how to resolve unfamiliar issues. Responsibility and Organization: Ability to manage assigned tasks, follow established procedures, meet deadlines, and maintain accurate records. Learning Mindset: Motivation to develop practical skills in financial operations, learn new tools and systems, and respond constructively to feedback. Working Style: Comfortable performing recurring operational tasks independently after training, while knowing when to seek guidance or escalate issues. Availability: Available for an on-site internship in Kuala Lumpur. BENEFITS: Convenient work tools Google Chat, Gmail, Google Drive, Confluence Professional growth Rich knowledge exchange within the company More perks No dress code Comfortable and new office environment  PHYSICAL DEMANDS The physical demands for this position are sits, stands, bends, lifts, and moves intermittently during working hours. These physical requirements may be accomplished with or without reasonable accommodations.  The duties of this position may change from time to time so the individual and organization can achieve their results. This job description is intended to describe the general level of work being performed. It is not intended to be all-inclusive. Xsolla KL Sdn Bhd takes your privacy very seriously, and will not sell or externally distribute any data received during the hiring process. Pursuant to the Personal Data Protection Act 2010 (“PDPA”), Xsolla KL Sdn Bhd is mindful and committed to the protection of your personal information and your privacy. Please direct any inquiries regarding your data privacy to careers@xsolla.com. For more vacancies: https://xsolla.com/careers/vacancies

Location: Kuala Lumpur, Malaysia; Istanbul, Turkey; London, United Kingdom; Cape Town, South Africa; Sydney, Australia Eram Talent is a leading recruitment company focused on connecting top talent with industry leaders. We are currently looking for a skilled Civil Engineer specializing in Transportation Planning & Traffic Engineering to join our team in Saudi Arabia. This role involves working on the design, analysis, and implementation of transportation systems that enhance mobility and ensure safety on the roads. As a Civil Engineer in this field, you will be responsible for conducting traffic studies, developing transportation plans, and collaborating with various stakeholders to improve traffic flow and reduce congestion. You will utilize advanced modeling tools and technologies to assess current transportation systems and propose innovative solutions that address both operational and environmental concerns. If selected, the work location would be onsite at Saudi Arabia. Responsibilities Interface with company representatives and government authorities to address traffic and transportation safety improvements in the Eastern Province. To act as a technical lead to various traffic safety engineering related work tasks. To oversee work being carried out by subordinate members of the engineering group. To support and guide work being undertaken by group members. To review and assist in developing scope-of-works for the company’s projects/studies (e.g., Road Safety audit, Traffic Impact study, Temporary Traffic Management, etc.) To review and provide initial inputs on design, specifications of existing/proposed roadway schemes within and around company facilities utilizing applicable industry standards and guidelines. To prepare letters, meeting notes, working papers, technical notes, reports and technical presentations. To enhance Traffic Safety Services Dept. - Engineering group staffs’ technical capacity by: establish proper training and develop efficient processes for knowledge sharing/transfer. Requirements Bachelor's degree in Civil Engineering or a related field. Minimum of 10 years of experience in transportation planning and traffic engineering. The candidate shall have technical proficiency in Highway Design, Transportation Planning & Traffic Safety Studies The candidate shall to be familiar with using international standards such as AASHTO-Green Book, HCM, HSM, MUTCD, and related ITE & FHWA guidelines. Certification Requirement: The candidate must be professional certified & licensed (i.e., PE, PTOE, PTP, RoSPA, or RSP) Proficient in traffic modeling software (e.g., VISSIM, SYNCHRO, HCS). Strong knowledge of transportation engineering principles, policies, and standards. Experience in conducting traffic studies and designing signal plans. Excellent analytical and problem-solving skills. Effective communication and teamwork abilities. Ability to manage multiple projects and meet deadlines.

Location: Global (Remote) Workplace: Remote COMMUNITY GROWTH MANAGER Team: Community Location: Flexible / Remote Reporting to: VP of Community ROLE OVERVIEW Rwazi’s Community function represents the human layer of the company — contributors, mappers, and platform participants across global markets. The Community Growth Manager owns measurable network expansion. This role scales user acquisition, accelerates activation, and increases network density across priority geographies. Community growth is treated as infrastructure — not marketing. The Community Growth Manager builds a predictable, compounding human network. CORE MANDATE The Community Growth Manager is accountable for: - Scaling contributor and user acquisition - Increasing activation velocity (sign-up → first participation) - Expanding network density in key markets - Improving referral-driven growth loops - Strengthening repeat participation This role owns the growth mechanics of the human network. KEY RESPONSIBILITIES USER ACQUISITION & EXPANSION - Design and execute multi-channel contributor acquisition strategies - Identify high-density geographic clusters - Optimize cost-per-active-user - Test and scale growth channels systematically ACTIVATION VELOCITY - Reduce time-to-first-submission - Optimize onboarding flows - Improve conversion from interest → active participation - Identify and remove friction in early journey stages NETWORK DENSITY & COVERAGE - Increase active contributors per city - Balance growth across underserved regions - Maintain supply resilience across markets REFERRAL & ORGANIC GROWTH SYSTEMS - Design referral programs tied to measurable expansion - Track referral conversion rates - Strengthen peer-driven network growth GROWTH ANALYTICS & OPTIMIZATION - Track acquisition, activation, and retention metrics - Run experiments to improve conversion rates - Provide structured reporting to VP of Community ROLE IMPACT Strong performance results in: - Faster log fulfillment due to stronger network density - Lower acquisition cost per active user - Higher activation conversion rates - Stronger organic growth - Increased supply resilience This role directly influences execution speed and ecosystem strength. WHAT THIS ROLE IS NOT - Not community moderation - Not delivery operations - Not reactive messaging - Not event management This role requires structured growth discipline. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - 4–8+ years in growth, marketplace scaling, or community expansion - Experience building distributed user networks - Strong analytical ability with funnel metrics - Comfort running structured experiments - Bias toward action and iteration - Experience operating in multi-geography environments Candidates may come from gig platforms, marketplace startups, creator ecosystems, or growth-driven SaaS environments. CULTURAL FIT We value operators who: - Think in funnels and density, not vanity metrics - Care about measurable outcomes - Move quickly and iterate - Build systems that compound - Operate with ownership and accountability HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Growth metrics achieved in prior roles - Activation and retention improvements driven - Ability to design scalable acquisition systems - Analytical rigor behind growth decisions - Structured experimentation discipline SUMMARY The Community Growth Manager scales Rwazi’s human network by driving acquisition, activation, and expansion across markets. This role ensures the Community layer grows predictably, efficiently, and sustainably as the company scales.

Location: Global (Remote) Workplace: Remote SENIOR COMMUNITY MANAGER Team: Community Location: Flexible / Remote Reporting to: VP of Community ROLE OVERVIEW Rwazi’s Community function represents the human surface area of the company — contributors, mappers, enterprise clients, and ecosystem partners. The Senior Community Manager owns ecosystem strategy. This role defines how these groups connect, interact, and reinforce one another within the broader Rwazi network. Community at this level is not messaging. It is network architecture. The Senior Community Manager ensures Rwazi’s ecosystem compounds in trust, density, and strategic value over time. CORE MANDATE The Senior Community Manager is accountable for: - Designing the structure of Rwazi’s ecosystem - Strengthening relationships across users, mappers, clients, and partners - Creating cross-node interaction within the network - Increasing ecosystem resilience and loyalty - Protecting long-term trust capital This role builds durable relational infrastructure. KEY RESPONSIBILITIES ECOSYSTEM ARCHITECTURE - Define how contributors, enterprise users, and partners interact - Design structured engagement models across stakeholder groups - Create pathways for collaboration and shared value - Reduce ecosystem fragmentation MULTI-STAKEHOLDER RELATIONSHIP STRATEGY - Maintain strong relationships across core ecosystem segments - Identify trust gaps or sentiment risk early - Develop structured communication strategies per segment - Balance enterprise professionalism with grassroots authenticity COMMUNITY-TO-PRODUCT FEEDBACK LOOPS - Surface structured ecosystem insights to Product and Leadership - Identify recurring friction patterns across stakeholders - Translate ecosystem signals into strategic adjustments IDENTITY & NARRATIVE STEWARDSHIP - Strengthen Rwazi’s identity within its network - Develop rituals, recognition systems, and shared milestones - Protect tone, positioning, and relational clarity STRATEGIC EXPANSION SUPPORT - Support VP of Community in scaling ecosystem footprint - Evaluate new market or segment entry from a network perspective - Identify ecosystem-driven growth opportunities ROLE IMPACT Strong performance results in: - Higher ecosystem cohesion - Increased stakeholder loyalty - Stronger cross-network referrals - Reduced churn across contributors and clients - Greater long-term defensibility This role strengthens Rwazi’s human moat. WHAT THIS ROLE IS NOT - Not delivery operations - Not reactive support - Not transactional messaging - Not community engagement for engagement’s sake This role requires structured ecosystem thinking. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - 6–10+ years in community, ecosystem, or network leadership roles - Experience managing multi-sided platforms (marketplace, SaaS, or distributed networks) - Strong relationship-building ability across different stakeholder types - Strategic thinking around network effects - Analytical comfort with retention, density, and ecosystem health metrics - Executive communication clarity Candidates may come from marketplace ecosystems, enterprise SaaS community leadership, or multi-stakeholder platforms. CULTURAL FIT We value leaders who: - Think long-term about trust capital - Balance warmth with strategic discipline - Operate without ego but with authority - Care about ecosystem integrity - Prefer durable systems over reactive fixes HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Their ability to design and scale ecosystem structures - Evidence of strengthening multi-sided networks - Clarity in handling stakeholder complexity - Structured thinking around community health metrics - Strategic maturity in managing trust across groups SUMMARY The Senior Community Manager leads the design and strengthening of Rwazi’s ecosystem across users, mappers, enterprise clients, and partners. This role ensures that Rwazi’s human network compounds in value — becoming a durable competitive advantage over time.

Location: Global (Remote) Workplace: Remote EXECUTIVE ASSISTANT Team: CEO Office Location: Flexible / Remote Reporting to: CEO ROLE OVERVIEW Rwazi operates in a high-velocity, AI-native environment where clarity, follow-through, and structured thinking are essential. The Executive Assistant supports the CEO in day-to-day executive operations — documentation, planning cadence, structured follow-ups, and internal coordination. This is a foundational role inside the CEO’s office. While the title is traditional, the expectation is not. We are looking for someone with former founder instincts or strong analytical pedigree — who understands strategy, but is comfortable operating in a support capacity without ego. This role requires intelligence, discipline, and humility. CORE MANDATE The Executive Assistant is accountable for: - Maintaining executive documentation rigor - Structuring meetings into clear outputs and actions - Tracking cross-functional commitments - Supporting board and planning cycles - Reducing cognitive load on the CEO This role strengthens executive execution hygiene. KEY RESPONSIBILITIES EXECUTIVE DOCUMENTATION & STRUCTURING - Capture high-quality, structured notes in executive and board meetings - Translate discussions into clear action items with owners and deadlines - Maintain organized, searchable documentation systems - Draft memos, summaries, and internal briefs PLANNING & CADENCE MANAGEMENT - Support quarterly and annual planning processes - Assist in preparing board decks and executive materials - Maintain visibility over key company-wide priorities - Ensure follow-through across functional leaders CROSS-FUNCTIONAL COORDINATION - Track execution commitments across teams - Follow up on deadlines and deliverables - Escalate slippage early and objectively - Maintain structured dashboards of ongoing initiatives OPERATIONAL & ADMINISTRATIVE SUPPORT - Manage executive scheduling and prioritization - Coordinate internal and external communications - Maintain high professional standards in all outputs ROLE IMPACT Strong performance results in: - Clear executive decision trails - Fewer dropped commitments - Tighter cross-functional alignment - Faster execution cycles - Increased CEO focus on strategic priorities WHAT THIS ROLE IS NOT - This is not a strategic leadership role - This is not independent product or revenue ownership - This is not a stepping stone to immediate executive authority This role requires comfort operating in a support function — regardless of prior seniority. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - Former founder, operator, or builder experience OR strong analytical background (consulting, finance, research, technical environments) - Exceptional structured writing ability - Strong analytical reasoning and pattern recognition - Comfort synthesizing complex discussions into clarity - High attention to detail - Ability to operate without ego in a support capacity - Strong discretion and professionalism Former founders are welcome — provided they are motivated by discipline and execution, not status. CULTURAL FIT We value individuals who: - Think sharply but act humbly - Prefer execution over visibility - Take pride in structured output - Care about precision - Follow through consistently HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Clarity and structure of written work - Analytical depth in summarizing complex discussions - Discipline in tracking commitments - Comfort supporting executive workflows - Absence of ego in operational contexts SUMMARY The Executive Assistant strengthens the CEO’s office by applying founder-level thinking and analytical rigor to executive documentation, planning, and follow-through. This role is foundational to maintaining speed, clarity, and execution discipline as Rwazi scales.

Location: Global (Remote) Workplace: Remote RESEARCH ENGINEER Team: Research & Development Location: Flexible / Remote Reporting to: Head of R&D ROLE OVERVIEW Rwazi’s research initiatives require rapid experimentation, prototyping, and system validation. The Research Engineer enables applied research through technical system construction. This role builds prototypes, experimental pipelines, evaluation tooling, and research infrastructure that allow decision concepts to be tested under real-world constraints. The Research Engineer operationalizes research velocity. CORE MANDATE The Research Engineer is accountable for: - Building research prototypes and sandbox environments - Developing evaluation tooling for decision systems - Implementing experimental system architectures - Enabling fast iteration between theory and validation - Maintaining technical research infrastructure This role bridges conceptual research and system reality. KEY RESPONSIBILITIES PROTOTYPE DEVELOPMENT - Implement experimental decision pipelines - Build modular, testable research architectures - Translate conceptual models into runnable systems RESEARCH TOOLING & INFRASTRUCTURE - Create evaluation frameworks for reasoning outputs - Build simulation environments for controlled testing - Develop benchmarking systems for decision performance EXPERIMENT ENABLEMENT - Implement A/B logic and structured experiment tracking - Optimize iteration cycles for research testing - Ensure reproducibility of experimental results SYSTEM INTEGRATION SUPPORT - Collaborate with Decision Research Scientists to encode models - Provide technical validation of research concepts - Identify engineering constraints early ROLE IMPACT Strong performance in this role results in: - Faster research iteration cycles - More reliable prototype validation - Reduced gap between research and production - Higher experimental rigor This role accelerates Rwazi’s long-term capability development. WHAT THIS ROLE IS NOT - This is not product feature engineering - This is not maintenance development - This is not short-term optimization This role builds experimental systems. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - Strong software engineering fundamentals - Experience building experimental or prototype systems - Comfort working in ambiguous research environments - Ability to balance speed and technical rigor - Familiarity with AI pipelines or decision architectures Candidates may come from research labs, AI startups, advanced analytics teams, or system architecture roles. HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Their ability to rapidly implement experimental systems - Technical clarity and modularity of their code - Comfort working with incomplete specifications - Understanding of evaluation logic and system validation - Ability to collaborate with research-oriented thinkers SUMMARY The Research Engineer enables Rwazi’s applied decision research by building the technical infrastructure required to explore, validate, and evolve next-generation decision systems. If you'd like, we can next define: - Decision Systems Fellow (elite individual contributor track) - AI Evaluation & Alignment Lead - Advanced Simulation Architect - Future Platforms Lab

Location: Global (Remote) Workplace: Remote DECISION RESEARCH SCIENTIST Team: Research & Development Location: Flexible / Remote Reporting to: Head of R&D ROLE OVERVIEW Rwazi advances decision systems — software capable of structured reasoning under real-world constraints. The Decision Research Scientist applies formal reasoning, modeling, and experimentation to real enterprise decision problems. This role operates at the boundary between research and application. It translates abstract decision theory, evaluation logic, and structured reasoning into practical system improvements that enhance Rwazi’s decision intelligence. This is applied decision research — not academic isolation. CORE MANDATE The Decision Research Scientist is accountable for: - Designing formal decision frameworks for complex enterprise problems - Modeling tradeoffs, uncertainty, and signal ambiguity - Advancing structured reasoning methodologies - Testing and validating new decision architectures - Converting research insight into system-ready primitives This role strengthens the reasoning depth of Rwazi’s decision engine. KEY RESPONSIBILITIES APPLIED DECISION MODELING - Formalize complex business questions into structured decision systems - Model uncertainty, tradeoffs, and multi-variable constraints - Design evaluation logic for ambiguous signal environments - Develop structured judgment methodologies RESEARCH-TO-APPLICATION TRANSLATION - Apply theoretical frameworks to real client use cases - Test decision logic against live or simulated environments - Identify structural weaknesses in existing decision pathways - Propose formal improvements with measurable rigor EXPERIMENTAL DESIGN - Design controlled experiments to validate reasoning enhancements - Define metrics for decision quality and output consistency - Compare alternative system architectures under defined constraints CROSS-FUNCTIONAL INTEGRATION - Collaborate with Research Engineers to prototype research concepts - Provide formal specifications to Product and Engineering - Advise leadership on long-term decision capability evolution ROLE IMPACT Strong performance in this role results in: - More reliable and explainable decision outputs - Increased reasoning depth across signal types - Expansion into new classes of enterprise problems - Stronger structural defensibility This role deepens Rwazi’s intellectual core. WHAT THIS ROLE IS NOT - This is not feature delivery - This is not surface-level analytics - This is not academic research detached from application This role requires rigorous thinking applied to real-world constraints. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - Strong grounding in decision theory, systems modeling, or applied reasoning - Experience formalizing ambiguous problems into structured frameworks - Comfort working with AI systems and reasoning architectures - Ability to design and evaluate experiments rigorously - Intellectual independence and systems thinking Candidates may come from applied AI research, quantitative modeling, computational social science, economics, operations research, or advanced analytics domains. HOW CANDIDATES ARE EVALUATED Candidates are evaluated based on: - Their ability to formalize complex decision problems - The rigor and clarity of their reasoning models - Evidence of applying theory to practical systems - Depth of structured thinking - Their ability to improve decision quality measurably SUMMARY The Decision Research Scientist advances Rwazi’s applied decision intelligence by turning complex reasoning into structured, validated system logic.

Location: Global (Remote) Workplace: Remote Head of Research & Development (R&D) Location: Global (Remote) Reports to: CEO Employment Type: Full-time MISSION AT RWAZI Rwazi’s long-term advantage depends on expanding the frontier of what decision systems can reason about. The Head of R&D owns long-horizon capability development — exploring, prototyping, and formalizing the next generation of decision intelligence that will power future versions of Rwazi’s platform. This role operates beyond immediate roadmap pressures. It identifies structural opportunities in reasoning systems, signal modeling, AI-assisted judgment, and decision automation — and transforms them into foundational capabilities. The Head of R&D defines what Rwazi becomes 3–5 years from now. CORE MANDATE The Head of R&D is accountable for: - Advancing future decision system architectures - Formalizing higher-order reasoning capabilities - Exploring new signal classes and evaluation logic - Identifying structural AI leverage points - Converting research into reusable system primitives This is a capability-building role, not a feature-delivery function. KEY RESPONSIBILITIES LONG-HORIZON CAPABILITY EXPLORATION - Identify unsolved reasoning challenges within Rwazi’s domain - Explore advanced decision frameworks beyond current product constraints - Develop conceptual models for higher-order AI reasoning systems - Investigate new signal environments and structured judgment methods PROTOTYPE & FORMALIZATION - Build experimental prototypes to test new system architectures - Formalize reasoning patterns into structured logic frameworks - Create reusable primitives that Product and Engineering can adopt - Document system logic in technically rigorous formats AI & DECISION SYSTEMS ADVANCEMENT - Push beyond current signal-to-output pipelines - Explore multi-layer reasoning and tradeoff modeling - Design evaluation criteria for increasingly complex decisions - Anticipate future enterprise use cases and model their structural requirements STRATEGIC INTERFACE WITH EXECUTIVE LEADERSHIP - Advise CEO on long-term technical differentiation strategy - Translate research insights into strategic investment decisions - Identify potential defensibility moats RESEARCH GOVERNANCE - Define standards for experimentation rigor - Establish evaluation frameworks for prototype validation - Maintain clarity between exploratory work and production systems ROLE IMPACT Strong performance in this role results in: - Structural differentiation in decision intelligence - New classes of solvable enterprise questions - Expansion of AI-assisted reasoning depth - Long-term defensibility against competitors - Research-driven product evolution This role ensures Rwazi does not stagnate at feature-level innovation. WHAT THIS ROLE IS NOT - This is not roadmap feature delivery - This is not short-term optimization - This is not pure academic research detached from application - This is not reactive problem-solving This role requires frontier thinking and disciplined formalization. QUALIFICATIONS AND PROFILE We are looking for individuals who demonstrate: - Deep systems thinking and formal reasoning ability - Experience designing structured decision frameworks - Strong understanding of AI systems, modeling logic, or computational reasoning - Ability to translate abstract research into usable system components - Comfort operating autonomously at high strategic altitude - Demonstrated work on complex, ambiguous problems Candidates may come from applied research, AI system design, computational modeling, advanced analytics, or technically rigorous environments. CULTURAL FIT We value leaders who: - Think in decades, not quarters - Formalize ideas with intellectual rigor - Challenge existing system boundaries - Operate independently without constant direction - Care about structural innovation over incremental gain This role is suited for builders who want to shape the long-term intelligence core of an AI-native company. How Candidates Are Evaluated Candidates are evaluated based on: - Their ability to formalize complex reasoning into structured systems - Evidence of pushing technical or decision boundaries - Clarity of thought in ambiguous domains - Ability to design experiments with rigor - Strategic alignment with long-term capability building We prioritize demonstrated intellectual depth and system-building ability over conventional titles. SUMMARY The Head of R&D defines the next generation of Rwazi’s decision intelligence. This role ensures that as the market evolves, Rwazi advances beyond incremental product iteration — and continues to expand the frontier of what enterprise decision systems can reason about.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE We're growing our Applied AI team to dramatically increase productivity across Engineering, Sales, Support, and Operations, and to ship AI-powered products that customers rely on directly. As an Applied AI Engineer, you'll design and ship production AI systems that change how WorkOS builds, sells, supports, and scales. You’ll also be building things that WorkOS customers use, and systems that the entire company depends on daily. You'll work on a small, high-ownership team that: - Chooses problems based on measurable impact - Moves from idea → prototype → production in days or weeks - Ships at both layers: internal leverage and customer-facing product - Adapts quickly as models, tools, and best practices evolve This is a 0→1 role with company-wide visibility. What you'll do - Design and ship customer-facing AI products like ask.workos.com http://ask.workos.com, AI support bots embedded in customer Slack channels, and new surfaces we haven't built yet - Build internal tools that become part of people's daily work: agents, automations, and workflows that are stable, observable, and easy to maintain - Work on big bets: a unified bot framework, a sandboxed coding harness agent, and infrastructure that lets the entire company ship - Use LLMs, embeddings, retrieval, and tool-calling to plug into docs, Slack, GitHub, CRM, analytics, support systems, and internal services - Replace repetitive, multi-step manual processes with orchestrated, AI-driven flows that span multiple apps and data sources - Stay current on new models and tooling, run focused experiments, and help the team converge on patterns, libraries, and infrastructure that compound over time Example problems you might work on - A sandboxed coding harness that can safely take a bug report or feature spec all the way to a deployed change - A unified bot framework that powers every AI touchpoint, internal and customer-facing from a single, observable backbone - A GTM intelligence layer that gives reps live account context, meeting prep, and follow-up from CRM, product usage, and conversation history - Turning noisy, cross-tool workflows (tickets, Slack threads, docs) into a single agent that handles triage, routing, and suggested actions - Infrastructure that lets any WorkOS team ship a reliable internal AI app without reinventing the stack What we're looking for - You've taken AI-powered systems from idea to production and through at least one iteration cycle with real users - Strong engineering fundamentals. You're comfortable owning services, data flows, and integrations end-to-end - Experience building with LLM APIs - You think about failure modes, observability, and ownership, not just whether the demo works - Bias toward action. You care less about the model and more about removing real bottlenecks, saving hours, or unlocking workflows the company couldn't do before - Comfort with ambiguity and fast change. The problem, the tools, and the "right" patterns are all evolving, you're excited to help define them Nice to have - Prior work on customer-facing AI products - Experience with embeddings, retrieval/RAG architectures, and structured tool-calling or agents - Exposure to MCP or similar protocols for connecting AI agents to real systems Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.