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Location: South Africa; Philippines; United Kingdom; Greece; Malaysia; Bulgaria About Huzzle At Huzzle, we connect high-performing B2B professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor Hours: UK Timezone About the Company Our client is an established eCommerce email marketing agency specialising in helping direct-to-consumer brands grow through high-performing email marketing strategies. The agency works primarily with Shopify and WooCommerce brands , using platforms such as Klaviyo and Omnisend to build revenue-driving campaigns, lifecycle flows, and advanced segmentation strategies. Your success in this role is measured by clear, data-driven outcomes: Client Retention: Maintain a 90%+ retention rate across your portfolio. Revenue Growth: Target 30–40% email-attributed revenue for every client. Engagement: Maintain 30%+ Open Rates and 1%+ Click Rates through advanced segmentation. Client Experience: Lead weekly strategy calls and provide proactive, high-touch communication (1-hour response window). Key Responsibilities Strategy & Leadership: Lead weekly client calls, handle objections with data, and identify gaps in the customer lifecycle. Campaign Oversight: Write clear, concise briefs for our design team and perform rigorous QA on every email before it goes live. Automation (Flows): Build, optimise, and A/B test sophisticated flows (Abandoned Cart, Post-Purchase, Win-back, etc.). Data Analysis: Check Klaviyo/Omnisend dashboards daily. If revenue is down, you’re the one who finds out why and proposes the fix. Internal Excellence: Use Trello/Figma and our internal SOPs to ensure 100% on-time delivery with zero missed deadlines. Requirements Proven experience managing multiple eCommerce client accounts (agency experience preferred). Strong hands-on experience with Klaviyo (campaigns, flows, segmentation, reporting). Deep understanding of email marketing performance metrics , including: Open rate Click-through rate (CTR) Revenue per recipient List health and deliverability Ability to lead client strategy calls confidently and drive decisions. Excellent written and verbal communication skills . Strong organisational skills with the ability to manage multiple projects and deadlines simultaneously . Analytical mindset with the ability to turn performance data into actionable improvements . High ownership and accountability for client results and campaign performance . Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Dubai, United Arab Emirates MIRA Construction is looking for an experienced and hands-on detail-oriented Finance Controller to build and manage a transparent, data-driven financial control system for one of our projects in Bakery Industry. This role will take full ownership of costing, margins, inventory control, and management reporting. The successful candidate will play a critical role in driving profitability, operational discipline, and financial clarity across the production function. This position is designed to evolve into leading the finance function of the production team. Key Responsibilities Costing & Unit Economics (Core Focus) Build and maintain accurate recipe-level costing (ingredient-level, gram accuracy). Monitor raw material price fluctuations and update COGS accordingly. Calculate and track: Food Cost % Production cost per batch Yield & wastage Contribution margin per SKU Allocate overhead costs (rent, utilities, labor, packaging) accurately into unit economics. Analyse product-level margins and recommend pricing adjustments. Conduct variance analysis (theoretical vs. actual costs). Monitor shrinkage, spoilage, and write-offs. Develop structured costing models to support scaling and new product launches. Inventory & Production Control Design and implement structured inventory control procedures. Manage stock movement across raw materials, semi-finished, and finished goods. Supervise monthly physical inventory counts (minimum requirement). Monitor batch accuracy and production efficiency. Identify abnormal consumption or wastage patterns. Ensure purchasing discipline based on forecasts and stock thresholds. Financial Reporting & Management Accounting Prepare and present: Weekly performance reports Monthly management P&L Cash flow tracking reports Monitor and analyse key KPIs: Food Cost % Labor % Gross Margin Net Profitability Provide actionable financial insights — not just reports. Partner closely with the Founder on: Scenario modeling Break-even analysis Expansion and scaling decisions Compliance & Accounting Manage VAT compliance (UAE). Coordinate with external auditors where required. Maintain structured and clean bookkeeping systems. Ensure financial processes are audit-ready at all times. Requirements 3+ years experience in F&B, manufacturing, or production accounting. Strong understanding of food production costing and unit economics. Proven experience building management reporting systems from scratch. Advanced Excel / Google Sheets skills (financial modeling capability required). Strong analytical and problem-solving ability. Detail-oriented with strong operational discipline. Benefits Competitive salary and commission structure. Ongoing training and development. Modern and well-equipped work environment.

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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York City, NY, US Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. As an Account Executive in Sensor Tower’s Investor Vertical, you will have the exciting opportunity to directly contribute to the company’s growth by owning the full sales cycle– from sourcing to closing– for hedge funds, private equity firms, and venture capital firms across the globe. Your average day will consist of executing outbound strategy to source prospective accounts (we will hire you a BDR once established), driving deals diligently through the sales process, and ultimately closing deals against a quarterly goal. You will also need to be well versed in the alternative data space such that you can effectively position Sensor Tower’s products to investor prospects and communicate feedback internally to our data science and product engineering teams.    We’re looking for people determined to accelerate their SaaS sales career, and we appreciate that the best performing sales teams are composed of individuals from many different walks of life.   Base salary: $105,000 - $130,000 OTE: up to $250,000, with an uncapped structure What you will focus on: - Build strategic relationships with investor accounts and develop a thorough understanding of how they use alternative data in their investment process - Own the full sales cycle, from open to close, for net new clients - Source prospective accounts and run outbound to ensure a healthy pipeline and consistent performance - Develop and communicate creative use-cases to highlight Sensor Tower’s value-add for an investor’s research stack - Engage cross-functionally with account management, data science, and product engineering teams to relentlessly iterate on Sensor Tower’s offerings What we are looking for: - Must be willing to work in our NYC office 2 days a week - 5+ years experience working in SaaS sales, with a preference for those who have targeted the investor or financial services space - The ability and willingness to drive their own success by consistently executing outbound strategy - An analytical mind for data that can execute research on names within an investor’s coverage and thus sell consultatively  - Those who are humble, hungry, and smart   Please note: We are looking for an individual contributor who has an Account Executive background, but the official title within Sensor Tower will be Sales Director Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. 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.

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. 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: 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, 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: Riyadh, Saudi Arabia; Dammam, Saudi Arabia; Al Khobar, Saudi Arabia Eram Talent is seeking a proficient Master Data Management (MDM) Business Analyst - Informatica to join our dynamic team. In this role, you will serve as a key liaison between business stakeholders and technical teams to ensure that Informatica-based MDM solutions effectively meet organizational data management needs. You will be responsible for gathering and documenting business requirements, analyzing existing data processes, and collaborating with technical teams on solution design and implementation. You will also help in identifying data quality issues, facilitate data governance activities, and support ongoing MDM initiatives to improve data accuracy, consistency, and compliance. If selected, the work location would be onsite at Al Khobar. Key Responsibilities Collaborate with business stakeholders to understand their master data requirements, document data definitions, and analyze data structures for optimal data management. Plan and execute data migration activities, including data mapping, data extraction, transformation, and loading (ETL) processes, during system upgrades or platform transitions. Ensure compliance with data security and privacy regulations, implement access controls, and monitor data usage to protect sensitive master data. Conduct thorough analysis of existing master data sets to identify discrepancies, anomalies, and opportunities for improvement, providing actionable insights to stakeholders. Develop and generate reports, dashboards, and data visualizations to provide insights into master data quality, trends, and performance, supporting decision-making processes. Facilitate change management activities related to master data management initiatives, including communication, training, and stakeholder Develop and enforce master data governance policies, standards, and processes to ensure data quality, consistency, and compliance with regulatory requirements. Collaborate with business users and IT teams to map data sources, define data hierarchies, and create data models that support effective master data management. Define and implement data standardization rules and processes to harmonize master data elements across disparate systems and business units. Coordinate the integration of master data management solutions with existing enterprise systems, ensuring seamless data flow and interoperability. Requirements Bachelor’s degree in Information Technology, or equivalent from a recognized and accredited university is required 5+ Years of Work Experience as a Master Data Management (MDM) Business Analyst or similar role is required. Certified Data Privacy Solutions Engineer (CDPSE) preferred Certifications in MDM or Informatica is highly preferred. Experience in Information Technology / Data Solutions / Networking / Cybersecurity preferred Proven experience as a Business Analyst, specifically in Master Data Management (MDM). Strong understanding of MDM principles, data governance, and data quality management. Experience with MDM tools (e.g., Informatica, SAP MDG, Oracle) is a plus. Excellent analytical and problem-solving skills. Strong communication and interpersonal skills to effectively engage with stakeholders.

Location: Al Khobar, Saudi Arabia; Dammam, Saudi Arabia Eram Talent is in search of a dedicated Data Quality Development Analyst to enhance our commitment to delivering exceptional staffing solutions. In this pivotal role, you will ensure that our data quality standards are met and continuously developed, contributing to our data-driven decision-making capabilities across the organization. The role holder is responsible for designing data quality assurance policies and standards, developing an enterprise data quality solution, defining metadata repositories and master data management to enable leverage enterprise data for business intelligence. The role holder is also responsible for installing and maintaining business intelligence tools and fine-tuning their performance. Key Responsibilities Responsible for designing, testing, deploying and documenting the data quality procedures and their outputs Design processes and technology to enable the client to leverage the enterprise data for business intelligence purposes. Define the data policy, standards and guidelines and ensure consistency. Coordinate with Master Data Quality Manager and define metadata repository for digitally and physically storing and cataloguing data. Design master data management to provide processes, governance, policies, standards and tools to define and manage master data. Define quality assurance policies and standards to ensure consistency in business intelligence reports. Identify and highlight issues related to data quality in order to improve accuracy of reports leading to proper decision making. Liaise with Master Data Quality Manager to provide support in development, operations and maintenance of dashboards and reports in the Technology environment. Install business intelligence tools and configures hardware and software components. Perform users’ administrator setup and provides continuous support for maintenance. Perform business intelligence performance tuning to ensure optimal performance. Recommend training and development interventions for team members to build their capabilities. Contribute to the identification of opportunities for the continuous improvement of systems, processes and practices to increase productivity and operational efficiency. Implement all relevant Department’s policies, processes, procedures and instructions so that work is carried out in a controlled and consistent manner. Contribute to the preparation of timely and accurate reports to meet departmental requirements, policies and standards. Requirements Bachelor’s degree in information technology, or equivalent from a recognized and accredited university is required. 5+ years of experience in data analysis, data quality, or a similar role. Knowledge of Data Quality principles, policies and procedures. Knowledge of Data Quality tools. Strong understanding of data governance, data quality metrics, and data management principles. Experience with data profiling tools and techniques. Proficiency in SQL and experience with data visualization tools (e.g., Tableau, Power BI). Strong analytical and problem-solving skills. Excellent communication skills and ability to work collaboratively with diverse teams. Detail-oriented with a strong focus on data accuracy and reliability.

Location: Al Khobar, Saudi Arabia; Dammam, Saudi Arabia Eram Talent is seeking a dedicated Data Quality Business Analyst to join our growing team. In this role, you will be responsible for ensuring the integrity, accuracy, and reliability of data across our business systems. You will collaborate with cross-functional teams and stakeholders to define data quality standards, develop metrics, and implement processes that enhance data management practices. Your responsibilities will include performing data analysis, identifying data quality issues, and recommending solutions to improve data governance. You will also work on data quality initiatives and may be involved in data profiling, cleansing, and monitoring to ensure adherence to organizational data quality standards. Responsibilities Consolidate guidelines, processes and parameters for conducting business analysis in order to follow a consistent approach in the process followed for collating data and carrying out analytics. Support in coordinating with Technology departments through periodic meetings to understand the specific business requirements related to business analytics. Coordinate with different internal departments to identify the most suitable data resources to ensure effective data collection and analysis based on the requirements. Support in identifying potential external vendors/market research agencies etc. and coordinate with them to establish the data collection and reporting needs in order to ensure efficiency in the data collection process. Coordinate with external consultants/forums to keep updated with the latest developments in the Technology landscape. Perform data cleaning and standardisation for conducting the relevant analysis and ensures adherence to data quality standards while developing reports on procurement and logistics updates. Stay up to date on the latest business intelligence tools, databases, systems or methods etc. and shares insights with Master Data Quality Manager on leveraging the same for business requirements. Develop the requisite reports (weekly/monthly/ad-hoc) and ensures timely submission of the same to facilitate decision making. Requirements Bachelor’s degree in Information Technology, or equivalent from a recognized and accredited university is required. 5+ years of experience as a Data Quality Analyst or in a related field. Certified Data Privacy Solutions Engineer (CDPSE) preferred. Experience in Information Technology / Data Solutions / Networking / Cybersecurity preferred. Strong understanding of data management principles, data governance, and data quality best practices. Proficient in data profiling and analysis tools (e.g., SQL, Python, or ETL tools) to assess data quality. Experience with data visualization tools such as Tableau, Power BI, or similar is a plus. Strong analytical and problem-solving skills to identify data quality issues and develop actionable solutions. Excellent communication skills, with the ability to work collaboratively with diverse teams and stakeholders. Detail-oriented with a focus on delivering high-quality results. Familiarity with data privacy and regulatory compliance standards is a plus.

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.

Location: Dubai, United Arab Emirates 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 Opportunity Relationship Manager / VIP Accounts Manager (CIS) leads account management efforts within the VIP retail program in the CIS region. The Relationship Manager is expected to work closely with various stakeholders, including regional and global growth teams, product and engineering teams, and Business Intelligence teams, as well as effectively lead a team of regional sales. He/She will proactively nurture and enhance relationships with local key trading accounts, VIP accounts, being in contact with them frequently and building relationships. What You’ll Be Doing Primary point of contact for a number of actively trading VIP clients. Expanding relationships with existing customers by sustained communication, understanding of their needs, supporting inquiries. Support users to navigate OKX range of product offerings, VIP structure, and key updates and changes on the OKX platform and products. Offer and manage VIP upgrades and various product configurations. Responsible for the revenue growth from trusted accounts and scaling business partnership Actively contribute to the regional strategies that align with the overall company goals, recommend and see through objectives, targets, and action plans, keeping to timelines. Support Product & Engineering lines for product development activities Active involvement in regional online and offline marketing activities and business events; stay up-to-date with industry/product/social trends and customers’ views and attitudes. Comply with the company’s guidelines and practices. Monitor competitor activity, analyze market trends, and provide insights to improve OKX VIP offerings. What We Look For In You Account management experience in Cryptocurrency, Finance, FX, or any related space Strong client management skills including maintaining strong relationships, organizing client profiles and incentivising client business activities. Solid project management skills and the ability to manage multiple priorities and deadlines Strong analytical and problem-solving skills and enthusiasm with a data-driven approach Understanding of trading systems and API is a strong plus. Open to business traveling to CIS, MENA, SEA or other regions if required. Good communication skills and ability to collaborate with diverse and international internal teams and external partners; experience working with key stakeholder management; Able to work with stakeholders across different levels Being fluent in English and native Russian is a must. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-AZ1 #LI-HYBRID 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: New Delhi, India; Mumbai, India; Pune, India; Warsaw, Poland; Tbilisi, Georgia Top 3 Reasons To Join Us Competitive Salary 100% Remote Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You Will Do: Work with clients and technical resources to identify their business problems and develop the right approach and analytical solution Plan and design simple to semi-complex business processes and system modifications Make recommendations to improve and support business activities Gather business requirements through a variety of techniques such as work sessions and interviews then analyze and document client complex business requirements and processes; communicate these requirements to appropriate parties Create complex test case scenarios to be used in testing; monitor/oversee the testing of business applications to verify that all client requirements are incorporated into the system design Develop business requirements documents/user stories to support the required modifications May plan, allocate and monitor work of other business analysts Understand simple to complex systems and related data to surface actionable insights, demonstrate sound judgment and decision-making skills Assist in providing time estimates for project related tasks Aid in updating process and procedural documentation Develop basic understanding of technical development cycle of mobile application or web portals Support QA, UAT and Release phases of the project via defect analysis, change maintenance, etc. Any other task that may be assigned What We Need: Minimum 5 years of experience as Business Analyst Minimum 1 year of experience in AI projects in the insurance domain A degree in Business, IT or any relevant field Previous experience working in the health insurance industry is required Insurtech experience is preferred Health Insurance-related domain certification from INS/LOMA or III is an added advantage Knowledge of business analysis concepts of defining requirements, translating to technical solutions, and Agile approach to prioritizing work to epics, sprints Business analysis skills including facilitation, process documentation, requirements gathering and user acceptance testing Good organizational/time management skills to prioritize work and meet deadlines within defined timeframes Experience in an Agile and/or Scrum environment is a must Basic knowledge in generating process documentation, and document system functionality, data integration, and workflow Excellent written and verbal communication skills in English Technical writing skills is a plus Why You'll Love Working Here Fully Remote Flexible Leave International Environment Competitive renumeration package Performance Bonus Company activities and events Learning and development plan Remote work allowance CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Istanbul Workplace: OnSite ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. TEAM  Our Publishing team plays a strategic role in the company’s growth and serves as a launchpad for Voodoo’s future leaders. The team brings together top performers from consulting, finance, and tech with a passion for product, creativity, and execution. As part of Voodoo Gaming, we partner with studios to build games from initial concept to global launch, aiming to create the next wave of iconic, chart-topping hybrid-casual hits. With over eight billion downloads and counting, Voodoo is the world’s largest and most successful hybrid-casual publisher. You will join a small and high-performing team, and your main responsibilities will include: ROLE - Building and nurturing Voodoo’s presence in Türkiye by developing strong relationships across the local gaming ecosystem(s) - Building and managing a portfolio of high-potential studios through outreach, industry events, and partnerships - Guiding studios on product strategy and creative direction to build strong, marketable prototypes - Leading launches as a product director by forming the product vision, roadmap, and execution to scale successful titles - Owning the full P&L of your games, with a sharp focus on growth and profitability - Driving deep market and competitive analysis to identify trends and define what we should build next PROFILE - Master’s degree from a top-tier business or engineering school - 3+ years in a fast-paced, analytical environment (e.g. consulting, banking, tech, or startups) - Strong strategic thinking, product sense, and analytical skills - Passionate about gaming and consumer products - Comfortable owning complex projects and working autonomously - Excellent communication and interpersonal skills - Fluent in English; Turkish - Personal passion or creative interest outside of work BENEFITS - Competitive salary upon experience - Multinet Lunch voucher - Premium healthcare coverage for you and your family  - Gym reimbursement