Вакансии

Задачи: • Сбор, обработка и анализ медицинских, демографических и иных статистических данных по вопросам профилактики поведенческих факторов риска • Работа с обращениями и запросами органов государственной власти • Мониторинг реализации целевых показателей федеральных проектов, связанных с поведенческими факторами риска • Экспертиза и подготовка проектов нормативных правовых актов, отзывов на законопроекты в сфере общественного здоровья • Подготовка отчетов, аналитических материалов, служебных записок, участие в написание научных статей • Взаимодействие с другими органами государственной власти Требования: • Высшее образование • Excel, PowerPoint на продвинутом уровне • Владение статистическими инструментами SPSS / R / Stata / Python как преимущество • Английский язык на уровне выше среднего • Интерес к вопросам общественного здоровья • Развитые аналитические способности Условия: • Стабильная официальная заработная плата • Рабочий день с 9:30 до 18:15 (в пятницу до 17:00) • Оформление и социальные гарантии в соответствии с ТК РФ • Возможность быть причастным и влиять на развитие здравоохранения.

Location: Baku, Azerbaijan Senior Subsurface Specialist Location : Baku, Azerbaijan Type : Full-time Company : DRL LLC About eiGroup At eiGroup, we believe ideas can change industries - but only if they are nurtured with structure, science, and courage. We’re an R&D and Innovation Venture Studio that transforms human ingenuity into technological value that scales. Our ecosystem brings together researchers, engineers, and creators who turn complex challenges into scalable products - from subsurface imaging to AI-driven analytics, from remote sensing to digital transformation. Our ventures are built in-house, born from research, and grown into independent companies. Together, we’re shaping how innovation takes root in this region - and how it reaches the world. What You’ll Do 1. Existing Scope (Petrophysics-Focused Responsibilities) Lead domain-driven development of digital tools and workflows for petrophysics challenges, including log interpretation automation, missing-log prediction, anomaly detection, and reservoir layer quality assessment. Work closely with clients to understand pain points in petrophysical workflows and translate them into actionable digital solutions. Oversee reservoir characterization workflows, LWD-related automation, and advanced predictive modelling in the petrophysics domain. Provide domain assurance across tools developed by the data science and engineering teams, ensuring technical accuracy, consistency, and usability. Validate results, ensure model quality, and provide technical acceptance of delivered functionalities. Contribute to design and refinement of petrophysical algorithms, QC processes, and automated interpretation methodologies. 2. Future Scope (Geology & Reservoir Engineering Responsibilities) Drive the development of digital automation tools for geology and reservoir engineering, including geological procedure automation, integration across subsurface domains, and workflows for simulation data access/management. Scope backlog items for geology/RE activities, ensuring alignment with client needs and long-term product vision. Support development of tools involving geological modelling, simulation case handling, reservoir properties prediction, and domain-integrated interpretation. Ensure technical consistency between petrophysics, geology, and reservoir engineering products to deliver holistic subsurface solutions. Provide domain input on reservoir engineering concepts (classical RE, material balance, well/reservoir response understanding, etc.) when shaping future modules. 3. Client Interaction & Project Leadership Maintain continuous communication with clients, understand their business challenges, and translate requirements into digital product scopes. Lead scoping workshops, perform domain research, and develop solution proposals aligned with client expectations. Break complex business problems into structured, development-ready tasks for data science/software engineering teams. Provide domain oversight throughout development sprints, ensuring accuracy, consistency, and business relevance of delivered features. Support quality assurance and acceptance testing of domain-related components. Help identify new opportunities, propose enhancements, and contribute to long-term product strategy and scalability. 4. Internal Leadership, Vision & Growth Mentor junior domain specialists and support their technical development. Actively contribute to the product vision, roadmap design, and strategic direction for future domain-driven services. Work with management to explore new directions, client accounts, and partnership opportunities for business scale-up. Drive a high-energy, forward-pushing culture—motivating team members and ensuring clear planning of long, mid, and short-term objectives. Participate in sprint planning, backlog prioritization, and agile delivery cycles within a dynamic development environment. 5. Documentation, Reporting & Communication Prepare high-quality presentations, guidance documents, and quick analytical reports for both internal and client stakeholders. Communicate domain concepts clearly to technical and non-technical audiences. Present solutions, findings, and project progress in a structured, confident, and professional manner. What You Bring 1. Technical & Domain Requirements 5+ years of experience in subsurface domains with strong knowledge/experience in at least one and good understanding in remanining of following disciplines petrophysics, reservoir engineering and geology. Proven hands-on experience in reservoir characterization, log interpretation, QC workflows, and predictive modelling (missing log prediction, anomaly detection, LWD interpretation, etc.). Working knowledge of geological modelling, simulation workflows, and reservoir engineering concepts (classical RE, well/reservoir behaviour, system understanding). Ability to translate complex domain problems into structured digital workflows, algorithms, and automation opportunities. Prior involvement in digital product development, domain-driven automation workflows, or multidisciplinary technology projects is highly preferred. Familiarity with databases, data structures, and basic exposure to programming or scripting languages (Python, SQL, etc.) is a strong advantage. 2. Project & Delivery Skills Experience working in highly dynamic, agile development environments, including sprint planning, backlog creation, and iterative delivery. Ability to break down complex business problems into actionable tasks for data science and engineering teams. Strong capability in scoping, requirement formulation, and domain assurance throughout development. Demonstrated ability to validate technical outputs, ensure quality of delivered workflows, and provide domain acceptance. 3. Communication & Client-Facing Requirements Excellent communication skills with the ability to interact confidently with both clients and technical teams. Ability to run scoping workshops, gather requirements, and present digital solution proposals. Fluent in English, with strong presentation skills and ability to prepare high-quality PowerPoints, reports, and guidance materials. Ability to articulate complex subsurface concepts in a clear, structured, and business-oriented manner. 4. Leadership & Strategic Skills Experience mentoring junior subsurface specialists or leading small domain teams. Strong sense of initiative and ownership, with the ability to drive progress, manage expectations, and push delivery forward. Ability to think long-term and contribute to the growth strategy of domain-driven digital services. Proven track record of opening new opportunities, supporting pre-sales activities, and building relationships with multiple clients. 5. Personal Attributes Highly dynamic, proactive, and comfortable working in fast-paced environments. Strong analytical mindset with capacity to plan short-, mid-, and long-term objectives. Adaptability, problem-solving attitude, and ability to manage ambiguity. Passion for innovation, digitalization, and continuous improvement of subsurface workflows. Our benefits include: Medical insurance (family coverage) Flexible working hours “Push 30” wellness program - company-covered Childcare support Company-provided lunch

Location: Hong Kong, Hong Kong SAR 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 We are looking for a Senior Growth BI Project Manager to join our CEO Office. This is a high-impact, end-to-end role that sits at the intersection of data intelligence and execution — covering OKX's key regulated markets globally. You will own the full loop: identifying growth problems through data, diagnosing root causes, shaping recommendations, and driving outcomes through cross-functional execution. Beyond technical and operational skills, what will set you apart is who you are. We are looking for someone with an exceptional ability to learn fast and operate in unfamiliar territory without losing direction. Someone who does not wait to be told what matters — you find it yourself. Someone who genuinely cares about the work and brings energy to problems that others find too messy or too ambiguous to touch. What You'll Be Doing Growth Analytics & Insight Monitor core growth metrics across regulated markets, proactively identifying anomalies, trends, and emerging opportunities. Conduct structured root-cause analysis on growth performance — moving beyond data description to diagnosis: why did this happen, and what should we do about it. Translate analytical findings into clear, prioritized recommendations for senior leadership and local market growth teams. Build and maintain analytical frameworks and dashboards that give leadership a clear, real-time view of market health and growth efficiency. Program Management & Execution Own the end-to-end execution of key growth initiatives: from scoping and planning through to delivery and outcome tracking. Drive cross-functional coordination across growth, product, engineering, and operations teams — ensuring alignment, accountability, and on-time delivery. Define measurable success criteria for each initiative and close the loop on results. AI-Augmented Ways of Working Actively apply AI tools and automation to accelerate analysis, reporting cycles, and operational workflows. Champion AI-native practices within the team and demonstrate productivity gains through concrete examples. What We Look For In You At least 4 years of experience in growth analytics, business intelligence, strategy, or program management — ideally from a top internet company, fintech, Web3 firm, or management consulting background. Exceptional learning agility — able to rapidly absorb new domains, connect the dots across unfamiliar data, and develop informed views in areas where you had no prior expertise. Strong logical and quantitative thinking — you break complex problems into structured components and form conclusions grounded in evidence, not assumption. Extreme self-motivation and ownership — you take full accountability for your workstreams, set your own direction, and are not satisfied until you see measurable outcomes. A genuine drive and passion for the work — you thrive in ambiguous, fast-moving environments, and find clarity and momentum where others find friction. Excellent communication skills; able to adapt between technical and non-technical audiences, and comfortable presenting to senior leadership. Bilingual proficiency in English and Mandarin Chinese is preferred to work with stakeholders in Mandarin-speaking markets. Nice to Haves Prior experience in the Web3 or crypto industry, or as a user of crypto products — genuine familiarity with the space is a meaningful advantage. Hands-on experience building AI agent systems or complex workflows, beyond general tool usage. Experience working within international or multinational organizations, with cross-regional stakeholder exposure. Solid track record in growth analytics or channel analysis — comfortable working with acquisition, retention, and channel performance data, and experience translating analytical work into growth decisions. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore 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 We are looking for a Senior Growth BI Project Manager to join our CEO Office. This is a high-impact, end-to-end role that sits at the intersection of data intelligence and execution — covering OKX's key regulated markets globally. You will own the full loop: identifying growth problems through data, diagnosing root causes, shaping recommendations, and driving outcomes through cross-functional execution. Beyond technical and operational skills, what will set you apart is who you are. We are looking for someone with an exceptional ability to learn fast and operate in unfamiliar territory without losing direction. Someone who does not wait to be told what matters — you find it yourself. Someone who genuinely cares about the work and brings energy to problems that others find too messy or too ambiguous to touch. What You'll Be Doing Growth Analytics & Insight Monitor core growth metrics across regulated markets, proactively identifying anomalies, trends, and emerging opportunities. Conduct structured root-cause analysis on growth performance — moving beyond data description to diagnosis: why did this happen, and what should we do about it. Translate analytical findings into clear, prioritized recommendations for senior leadership and local market growth teams. Build and maintain analytical frameworks and dashboards that give leadership a clear, real-time view of market health and growth efficiency. Program Management & Execution Own the end-to-end execution of key growth initiatives: from scoping and planning through to delivery and outcome tracking. Drive cross-functional coordination across growth, product, engineering, and operations teams — ensuring alignment, accountability, and on-time delivery. Define measurable success criteria for each initiative and close the loop on results. AI-Augmented Ways of Working Actively apply AI tools and automation to accelerate analysis, reporting cycles, and operational workflows. Champion AI-native practices within the team and demonstrate productivity gains through concrete examples. What We Look For In You At least 4 years of experience in growth analytics, business intelligence, strategy, or program management — ideally from a top internet company, fintech, Web3 firm, or management consulting background. Exceptional learning agility — able to rapidly absorb new domains, connect the dots across unfamiliar data, and develop informed views in areas where you had no prior expertise. Strong logical and quantitative thinking — you break complex problems into structured components and form conclusions grounded in evidence, not assumption. Extreme self-motivation and ownership — you take full accountability for your workstreams, set your own direction, and are not satisfied until you see measurable outcomes. A genuine drive and passion for the work — you thrive in ambiguous, fast-moving environments, and find clarity and momentum where others find friction. Excellent communication skills; able to adapt between technical and non-technical audiences, and comfortable presenting to senior leadership. Bilingual proficiency in English and Mandarin Chinese is preferred to work with stakeholders in Mandarin-speaking markets. Nice to Haves Prior experience in the Web3 or crypto industry, or as a user of crypto products — genuine familiarity with the space is a meaningful advantage. Hands-on experience building AI agent systems or complex workflows, beyond general tool usage. Experience working within international or multinational organizations, with cross-regional stakeholder exposure. Solid track record in growth analytics or channel analysis — comfortable working with acquisition, retention, and channel performance data, and experience translating analytical work into growth decisions. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! 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: Singapore About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Regional Research Economist at Anthropic, you will work to collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally-relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country/regional-specific analysis Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI's impact on: Labor markets and the future of work Productivity and task transformation Economic inequality and displacement Industry-specific disruption and adaptation Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning Demonstrated experience working in and relevant relationships across the region Experience relevant to the study of AI’s impact on the economy, including: Labor market analysis and occupational change Task-based approaches to technological transformation Large-scale data analysis and econometric methods Large language models for social science research Policy-relevant economic research Experimental and quasi-experimental methods for causal inference Macroeconomic modeling and time series forecasting Agent-based modeling or large-scale simulation Technical skills including: Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Demonstrated ability to: Lead complex research projects from conception to publication Communicate technical findings to diverse audiences Build relationships across academic, policy, and industry communities Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Additional information For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. 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: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a Regional Research Economist at Anthropic, you will work to collaborate with governments, academia, industry, and civil society in your region to measure and understand AI's effects on the economy and explore research-driven policy interventions. You will contribute to the development of the Anthropic Economic Index and its extension to generate regionally-relevant insights, establish new methodologies to measure the usage, diffusion, and impact of AI throughout the economy, and work to broaden access to and usage of the insights generated by the Index. You will use frontier methods in econometrics, machine learning, and structural estimation. Such rigour will drive impact, shaping both policy discussions externally and informing Anthropic’s internal business and product decisions. Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our privacy-preserving measurement system ( Clio ), we analyze millions of real-world AI interactions to understand how AI augments and automates work across different occupations and tasks. Key responsibilities Build and maintain relationships with academic institutions, policy think tanks, and other research partners as the primary point of contact for these organizations on economic impact work in your region Advance research collaborations that answer country- or regional-specific economic impact questions Translate research insights into actionable recommendations for policy discussions Make fundamental contributions to the development and expansion of the Anthropic Economic Index , including country/regional-specific analysis Design and collaborate on empirical research on AI's economic effects with governments, academia, industry, and civil society in your region Develop new methodological approaches, in collaboration with partners in your region, for studying AI's impact on: Labor markets and the future of work Productivity and task transformation Economic inequality and displacement Industry-specific disruption and adaptation Aggregate economic trajectories (GDP, productivity, unemployment) under varying AI-adoption scenarios Work cross-functionally with other technical teams to improve our measurement infrastructure and data collection Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders Minimum qualifications PhD in Economics Strong track record of empirical research, particularly studies combining novel data sources and economic theory or those implementing frontier methods in causal inference and machine learning Demonstrated experience working in and relevant relationships across the region Experience relevant to the study of AI’s impact on the economy, including: Labor market analysis and occupational change Task-based approaches to technological transformation Large-scale data analysis and econometric methods Large language models for social science research Policy-relevant economic research Experimental and quasi-experimental methods for causal inference Macroeconomic modeling and time series forecasting Agent-based modeling or large-scale simulation Technical skills including: Proficiency in Python, R, SQL, or similar tools for large-scale data analysis Experience working with novel datasets and measurement systems Comfort learning new technical tools and frameworks Demonstrated ability to: Lead complex research projects from conception to publication Communicate technical findings to diverse audiences Build relationships across academic, policy, and industry communities Strong interest in ensuring AI development benefits humanity Comfort working with AI systems and ability to think critically about their capabilities and limitations Representative projects How Australia Uses Claude: Findings from the Anthropic Economic Index Anthropic Economic Index Report: Economic Primitives Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption Estimating AI productivity gains from Claude conversations The Anthropic Economic Index Additional Information For this role, we're looking for candidates who can combine rigorous economic analysis with novel measurement approaches to understand AI's transformative effects on the economy. The ideal candidate will be comfortable working at the intersection of empirical economics, technological change, and policy impact. 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: £195,000 — £245,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote - USA The Payment Integrity team is a group of innovative thinkers sitting at the intersection of Clover's provider Network, Claims, and Tech teams. The Payment Integrity team ensures that Clover pays claims in an accurate manner, with a particular focus on reducing inappropriate medical spend. As an Inpatient Coding Specialist at Clover Health, you will play a key role ensuring that Clover is able to continue to build and scale a compliant, efficient and profitable program. You will work to ensure quality assurance standards and regulatory policy are reflected in claims processing practices. You will help drive value for every member by ensuring that Clover’s medical claims are paid accurately and recovering overpayments when they are identified. The Associate - Inpatient Coder coordinates the identification of provider DRG denials and upcoding. As an Inpatient Coding Specialist, you will: Partner with Clinical, Claims, and Payment Integrity peers to review claims for DRG related issues on a prospective and retrospective basis that drive inaccurate payments to providers. Proactively identify overpayments to ensure accurate claims payments on inpatient services. Participate in collaborative discussions with MDs to verify the clinical rationale behind billed procedures. Communicate effectively while building trust and lasting partnerships both laterally and vertically across multi-discipline teams. Communicate effectively both internally and externally to ensure accurate claims adjudication and proper provider notification. Success in this role looks like: By the end of your initial 90-day period, you will have demonstrated a strong understanding of clinical coding practices and medical records review, while assisting our team in areas of DRG validation. By 6 months, you will be working autonomously to execute within our clinical review workflows and will have developed strong interpersonal relationships across the organization. Continued success in this position anchors in on developing a deep understanding of the workflows that support our clinical review life cycle, while maintaining regulatory compliance standards. You should get in touch if: You hold a CCS or CIC certification; required. Knowledge of DRG pricing methodology; required. You have at least 1 year of direct inpatient clinical coding experience. Medicare or Medicare Advantage payment integrity or claims operations experience; preferred You are technologically savvy with strong computer skills in Excel and PowerPoint. Benefits Overview : Financial Well-Being : Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Physical Well-Being : We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being : We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. Professional Development : Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. Additional Perks: Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Reimbursement for office setup expenses Monthly cell phone & internet stipend Remote-first culture, enabling collaboration with global teams Paid parental leave for all new parents And much more! About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most. We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility. # LI-REMOTE Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. #LI-Remote Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $76,000 — $99,000 USD

Location: San Francisco, CA ABOUT COLUMN For companies building financial technology and transforming the financial services space, the biggest bottleneck to their growth and innovation is often the underlying banks and infrastructure stack they rely on. We have spent our careers founding and scaling companies like Plaid, Square, Meta, Blend, and Affirm, and have seen this problem firsthand — builders and developers needing to partner with traditional banks, and creating API and abstraction layers over the patchwork that is the bank, its core, and many other vendors. All of this results in a complex (and often expensive) banking supply chain involving a user, fintech, BaaS middleware provider, bank, core and the Federal Reserve. At Column, we set out to simplify and fix this. We are a bank and a software company built from the ground up, offering builders and developers technology-forward banking solutions that cut out the hundreds of vendors, middleware providers, and abstraction layers. This means a safer, more transparent, and less costly banking supply chain. Come build with us! THE OPPORTUNITY We’re looking for a high performing business athlete to join our Customer Risk Strategy team! You don’t need to be an expert in banking or risk on day one - we are seeking a driven candidate ready to disrupt financial services and willing to utilize their highly strategic, operational, and product-oriented mindset to help Column deepen its relationships with its fintech partners. In this role you will manage our forward-thinking, strategic, and highly efficient risk programs (a critical differentiator for Column). This is a unique entry point into a high-growth fintech company, where you’ll command a level of influence that few other roles can offer. This role is for someone who thrives on taking ownership, blending strategic problem-solving with hands-on execution. Every project you lead will directly influence our ability to grow Column's business relationships so they remain strong and resilient. This role will report directly to our Head of Regulatory Affairs and will partner closely with leaders across engineering, business, legal, compliance, operations, and go-to-market teams. This role is based in-person at our Presidio office in San Francisco (3-4 days/week). WHAT YOU’LL DO - Manage oversight of Column’s Fintech Partners: Ensure effective ongoing oversight processes by reviewing key program metrics to identify trends, outliers or key risk indicators that require further investigation. - Evaluate partnership expansions. Work with our business team to manage fintech partnership expansions, collaborating with internal SMEs to evaluate and document key risk and compliance considerations. - Architect new processes: Identify inefficiencies and build new, high-velocity processes as our partnership footprint expands. - Drive intelligence and reporting: Deliver high-impact metrics and briefings to senior leadership and the Board of Directors, providing the data needed to make critical business decisions. WHAT YOU’LL NEED TO BE SUCCESSFUL - 2+ years of experience in high-growth environments, including management consulting, financial regulatory agency, financial services and/or fintech - Ability to jump into new situations, master them quickly, and solve problems with minimal friction - Disciplined approach to to managing complex workstreams and the ability to navigate high-pressure priorities across multiple teams and projects - Scrappy, roll-up-your-sleeves attitude - we thrive because we work harder, are more creative, and have zero ego when it comes to getting our hands dirty to build a business - Attention to detail and a commitment to accuracy - Familiarity with the banking and fintech industries is preferred, but not required - an interest in finance, risk, and technology, however, is a must - Excitement about working in a fast-paced, deeply cross-functional space WHAT YOU’LL GET FROM US: - 🏥 Comprehensive health, dental, and vision plans, including options that are 100% covered by Column for you and 100% covered for your dependents! - 🐣 Comprehensive family planning and fertility benefits via partnership with Carrot, including reimbursement of up to $20,000 in qualified expenses - 🏡 Up to $2,000 (post-tax) monthly rent subsidy for employees living within 2 miles of Column’s office - 💳 FSA and HSA account options to enable use of pre-tax money for medical and dependent care expenses - 📈 401k plan, including self-directed brokerage options - 🌴 Flexible time-off policy - take the time off that you want and need to relax and recharge - 🧳 Sabbatical Program - reach your 5-year anniversary to take up to 8 weeks of fully paid leave to rest, recharge, and pursue personal interest - with full salary and benefits - 👶 100% paid parental leave, including 16 weeks for birth mothers, 12 weeks for primary caregivers, and 8 weeks for secondary caregivers - 😇 Up to $4,500 in annual reimbursements for backup childcare - 🍽️ Catered lunches and dinners for SF employees - 🚆 Commuter benefits, including paid transportation to-and-from the office - 🎉 Regular team building events, including annual offsite PAY TRANSPARENCY: Compensation packages at Column include base salary, equity, and benefits. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers. The annual base salary range for this role is $115,000 - $130,000 + equity. WE LOOK FORWARD TO HEARING FROM YOU Column is committed to working with the best and brightest people from the broadest talent pool possible. We value bringing together a team with different perspectives, educational backgrounds, and life experiences, and believe a diversity of ideas is what allows us to develop the best solutions. All qualified individuals are encouraged to apply. If you need assistance or a reasonable accommodation during the application and recruiting process, please reach out to accommodations@column.com. We participate in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program here https://e-verify.gov.

Location: Gurugram, Haryana, India Company Overview ClearView Healthcare Partners is a premier life sciences strategy consulting firm headquartered in Boston, with offices in San Francisco, New York City, London, Zurich and Gurgaon. Serving clients in the biopharmaceutical, medical device, and diagnostic spaces, we provide world-class strategic decision-making support across a diverse range of business issues. Our goal is to inform actionable recommendations that allow companies to achieve their business objectives. Role Overview: As an Insights/Secondary research - CoE team member, you will partner closely with global consulting teams to deliver high quality secondary research, market insights, and targeted analyses that inform strategic recommendations for our life sciences clients. You will develop a strong foundation in the life sciences industry and exposure to a diverse set of strategic questions across the product lifecycle. The work will span questions related to clinical development, commercialization, pricing and market access, launch planning, corporate and investor strategy, diagnostics, and new product planning. Key Responsibilities: Conduct targeted secondary research on diseases, therapies, competitors, clinical pipelines, and market dynamics using public and proprietary data sources (e.g., EvaluatePharma, GlobalData, Navlin, MMIT, AnswerSuite, company filings, HTA portals). Synthesize research findings into clear, structured, and slide‑ready deliverables, including market landscapes, analytical frameworks, and concise written insights. Develop disease, assets, and company overviews; treatment algorithms; guideline and standard of care maps; and epidemiology driven market context summaries to support a broad range of strategic work. Perform analog research and benchmarking across launch, uptake, access, pricing, evidence generation, and go‑to‑market strategies to inform strategic decision‑making Summarize HTA, payer, and reimbursement decisions, identifying key value messages, evidence expectations, pricing and access outcomes, and drivers of payer decisions across markets. Prepare structured competitor and payer relevant profiles, including strategy, evidence, positioning, and deal or funding activity, to support both project and internal business development needs. Build and maintain reusable research assets, including competitive landscapes, analog libraries, launch timelines, and technology and policy trend trackers. Support qualitative research efforts by helping prepare discussion guides, synthesizing interview notes, and organizing insights for hypothesis testing. Work with global consulting colleagues to clarify problem statements, refine research questions, and iteratively improve output based on feedback. Contribute to the creation of templated outputs that integrate research insights into overall project deliverables (e.g., storyline aligned slides, appendices, and supporting materials). Ensure quality and consistency of research outputs by adhering to internal standards, referencing guidelines, and formatting best practices. Participate in internal knowledge building initiatives, including upkeep of internal knowledge repositories, templates, and best practice examples. Qualifications & Requirements: 4-6 years of experience in life sciences consulting, market research, competitive intelligence, HTA / HEOR support, or similar insights focused roles. Undergraduate or master’s degree in a life science discipline (e.g., biology, biochemistry, pharmacology, biotechnology, pharmacy) or related field. Demonstrated interest in the global biopharmaceutical industry and strategic questions related to R&D, commercialization, pricing & access, launch and lifecycle management, diagnostics, and corporate / investor strategy. Ability to independently execute well-scoped research workstreams (e.g., literature scans, competitive profiles, basic epidemiology/market sizing desk research) with moderate oversight. High attention to detail in referencing, data checking, and ensuring consistency of narratives and exhibits across multiple sources. Strong written and verbal communication skills in English, with the ability to translate complex scientific and commercial concepts into accessible, actionable insights. Highly analytical and structured approach to organizing information and building logical narratives from evidence. Enthusiasm for collaborating with distributed global teams and comfort working across time zones. Strong proficiency in Microsoft PowerPoint and Excel; familiarity with common life science data and literature sources (e.g., clinical trial registries, scientific literature, company reports, analyst reports) is a plus. Ability to work in a hybrid setup, with 3 days per week from the Gurgaon office. What We Value We recognize that not every candidate will meet every qualification listed. If you’re excited about this role and believe you have relevant experience or transferable skills, we encourage you to apply. We value curiosity, a growth mindset, and a commitment to collaboration. Equal Opportunity Employer ClearView Healthcare Partners ("CV") is an Equal Opportunity employer.  All qualified applicants will be considered for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Location: United Kingdom; Moldova We need someone who understands data deeply and uses Python to wrangle it — not a platform engineer, not a pure pipeline builder, but a data specialist who's comfortable with research, investigation, and the unglamorous work of making messy energy market data actually usable. You'll spend significant time on tasks like: mapping BM units to power plants and fuel types, reconciling legacy data formats with current ones, ensuring consistency between different Elexon message types, and cleaning time-series data (outliers, gaps, overlaps). Some of this requires genuine investigation — cross-referencing sources, making judgment calls, documenting edge cases. There's no API that solves these problems for you. Python is your primary tool (Pandas, Numpy, standard libraries) to minimise manual effort, but you should be comfortable that some detective work is unavoidable. If you find satisfaction in truly understanding a dataset's structure and quirks — rather than just piping data through and hoping for the best — this role is for you. Data Mapping and Research • Map BM units from Elexon to their corresponding power plants, substations, and fuel types — combining API data, public registers, and manual research • Map substations to ETYS zones and grid supply points • Build and maintain reference/master datasets that link identifiers across disparate sources (Elexon, National Grid ESO, TEC register, etc.) • Document mappings, assumptions, and known limitations clearly for downstream users Data Reconciliation and Consistency • Reconcile legacy data formats with current formats (e.g., historical operational data stored in different schemas or granularities) • Ensure consistency between different Elexon message types — understand the market data structure well enough to know why BOALF, BOD, and DISBSAD might not perfectly align and how to handle it • Investigate discrepancies between data sources and determine authoritative values Data Cleaning and Quality • Clean time-series data: detect outliers (price spikes, meter errors), fill gaps appropriately, resolve overlapping or duplicate timestamps • Develop reusable Python-based cleaning routines that can be applied across datasets • Understand why data quality issues occur (settlement reruns, late submissions, format changes) not just patch them Pipeline Development (Supporting the Above) • Write and maintain Python data grabbers for energy market APIs • Build dbt models to transform raw data into clean, analysis-ready datasets • Orchestrate workflows via GitHub Actions • Design PostgreSQL schemas that reflect your understanding of the domain Requirements • Strong Python skills for data work — you're fluent with pandas, comfortable writing clean, testable code, and can build reusable data processing logic. This is not an Excel role. • Solid SQL skills — complex queries, window functions, CTEs in PostgreSQL • Experience with messy, real-world data — you've done reconciliation, cleaning, or mapping work before and understand it's not always automatable • Methodical and detail-oriented — you notice inconsistencies and want to understand root causes • Good documentation habits — you know that undocumented mappings and assumptions are technical debt • Self-directed — you can own ambiguous problems, do your own research, and communicate findings clearly Nice to Have • Experience with energy, utilities, or market data (any geography) • Familiarity with UK energy markets, Elexon data, or grid operations • dbt experience for transformation pipelines • Exposure to time-series data challenges (irregular timestamps, gaps, restatements) Highly Desirable — Agentic AI Coding Experience We value candidates who can build software using agentic AI coding systems. This is fundamentally different from using code completion tools or chat-based assistants. Not What We're Looking For • Platform/infrastructure engineers who prefer to stay above the data layer • People who expect clean, well-documented data as input • Those uncomfortable with research, ambiguity, or "manual" investigation work Practicalities • Remote-first with async collaboration (Slack, GitHub, documented decisions) • Core overlap with UK business hours expected (at least 4 hours daily) • Competitive compensation based on location and experience Benefits Plenty of opportunities for learning and professional growth B2b contract with a paid vacation

Location: Baku, Azerbaijan Workplace: none PAŞA Sığorta ASC namizədləri Lean biznes analitik vəzifəsinə müraciət etməklə peşəkar komandanın üzvü olmağa dəvət edir. Lean Biznes Analitik şirkətin strateji məqsədlərinə uyğun olaraq biznes proseslərinin dəyər axını əsasında təhlilini aparır, israfı müəyyənləşdirir və proseslərin ölçülə bilən şəkildə təkmilləşdirilməsini təmin edir. Bu vəzifə Lean prinsipləri, məlumat əsaslı yanaşma və uyğun texnoloji həllərlə biznes məqsədlərini əlaqələndirərək operativ səmərəliliyin, keyfiyyətin və müştəri dəyərinin artırılmasına töhfə verir. Öhdəliklər Təşkilatda Lean metodologiyasının tətbiqinə və yayılmasına dəstək vermək, Lean Agile Office tərəfindən müəyyən edilmiş standartlara uyğun icranı təmin etmək Value Stream Mapping (VSM) vasitəsilə əsas proses və dəyər axınlarının təhlilində iştirak etmək, israf nöqtələrini müəyyənləşdirmək Lean alətləri (Kaizen, 5S, Visual Management) əsasında proseslərin sadələşdirilməsi və optimallaşdırılması təşəbbüslərində iştirak etmək Continuous Improvement təşəbbüslərinin icrasında iştirak etmək və bu yanaşmanın komandalar arasında tətbiqinə dəstək olmaq Komandaların müəyyən edilmiş proses intizamına riayət etməsinə dəstək vermək və Lean uyğunluq yoxlamalarında iştirak etmək Əməliyyat səmərəliliyinin artırılması üçün Lead Time, Cycle Time və Flow Efficiency göstəricilərinin izlənməsində və təhlilində iştirak etmək Bilik və Bacarıqlar Güclü analitik və problemlərin həlli bacarıqları, detallara diqqət Tələblərin toplanması, izlənməsi, dəyişikliklərin idarə olunması və sənədləşdirmənin aparılması Layihə idarəetmə prinsipləri haqqında baza bilikləri Əsas texnologiyalar, platformalar və arxitektura haqqında biliklər Biznes və texniki komandalar arasında ünsiyyəti qurmaq və idarə etmək Müxtəlif sistemlərin inteqrasiyasını anlamaq Avtomatlaşdırma və robotlaşdırma texnologiyaları haqqında məlumatlılıq Potensial riskləri müəyyənləşdirmək və onlarla bağlı tədbirlər görmək Proqram təminatının inkişafının həyat dövrü metodologiyaları (Agile, Scrum, SAFe Kanban) haqqında biliklər Uzunmüddətli biznes məqsədlərini nəzərə alaraq strateji qərarlar qəbul etmək Davamlı öyrənmə və inkişaf etmə arzusu Müvafiq sahə və sənaye üzrə biliklər (maliyyə, səhiyyə, insan resursları və s.) Təhlil, kommunikasiya, punktuallıq, məsuliyyətlik, ünsiyyətçilik, komandada işləmə bacarığı, münaqişələrin həlli Dil bilikləri: Azərbaycan, İngilis Təhsil və Təcrübə Biznesin İdarə Edilməsi, İnformasiya Texnologiyaları, Maliyyə və ya əlaqəli sahədə bakalavr dərəcəsi Müvafiq sahədə 2-4 il iş təcrübəsi Bizim Təklifimiz Peşəkar və dəstəkləyici komandada əməkdaşlıq və bilik mübadiləsi Fərdi və peşəkar inkişaf imkanları Şirkətin strateji təşəbbüslərində iştirak və real təsir imkanı Şəffaf və innovativ iş mühiti “Great Place To Work” sertifikatlı şirkətdə çalışma imkanı. *Yalnız ilkin seçim tələblərinə cavab verən namizədlərlə əlaqə saxlanılacaqdır. PASHA Insurance OJSC invites candidates to apply for the position of Lean BA and become a member of our professional team. The Lean Business Analyst conducts value stream-based analysis of business processes in line with the company's strategic objectives, identifies waste, and ensures measurable process improvements. This role drives operational efficiency, quality, and customer value by aligning business goals with Lean principles, data-driven approaches, and appropriate technological solutions. Responsibilities Support the implementation and dissemination of Lean methodology across the organization, ensuring execution in accordance with standards set by the Lean Agile Office Participate in the analysis of key processes and value streams using Value Stream Mapping (VSM), identifying points of waste Engage in process simplification and optimization initiatives based on Lean tools (Kaizen, 5S, Visual Management) Contribute to the execution of Continuous Improvement initiatives and support the adoption of this approach among teams Support teams in adhering to established process discipline and participate in Lean compliance audits Assist in monitoring and analyzing Lead Time, Cycle Time, and Flow Efficiency indicators to enhance operational effectiveness Knowledge and Skills Strong analytical and problem-solving skills with attention to detail Experience in requirements gathering, tracking, change management, and documentation Basic knowledge of project management principles Understanding of core technologies, platforms, and architecture Ability to establish and manage communication between business and technical teams Understanding of integration between various systems Awareness of automation and robotics technologies Ability to identify potential risks and take appropriate actions Knowledge of software development lifecycle methodologies (Agile, Scrum, SAFe Kanban) Strategic decision-making considering long-term business objectives Desire for continuous learning and development Familiarity with relevant fields and industries (finance, healthcare, human resources, etc.) Analytical thinking, communication, punctuality, responsibility, interpersonal skills, teamwork, conflict resolution Language skills: Azerbaijani, English Education and Experience Bachelor’s degree in Business Administration, Information Technology, Finance, or a related field 2-4 years of relevant professional experience What we offer Collaboration and knowledge sharing within a professional and supportive team Opportunities for personal and professional growth Involvement in strategic company initiatives and real impact Transparent and innovative work environment Opportunity to work in a “Great Place To Work” certified company. *Only candidates who meet the initial selection criteria will be contacted.

Location: Владимир Каждый второй предприниматель — клиент Сбера! Откликайся на вакансию и развивай малый бизнес страны. Обязанности ### **Почему у нас хорошо:** * **Достойная зарплата:** оклад + премии + компенсация транспортных расходов + оплата мобильной связи * **Понятная система мотивации**, пересмотр оклада несколько раз в год * **Расширенная программа ДМС** с первого дня и льготное страхование для близких * **Научим использовать технологии,** чтобы оптимизировать рутину: AI-помощник соберёт необходимую информацию о клиенте, подберёт лучшие решения для развития бизнеса и даст персональные рекомендации * **Погрузим в специфику каждого бизнеса:** мы разработали собственную программу обучения с практикующими экспертами * **Крутые привилегии:** подписка Прайм с возможностью совместного использования на трёх близких, скидки от наших партнёров, льготная ипотека * **Сделаем тебя частью бизнес-сообщества:** ты сможешь представлять банк на форумах и мероприятиях для предпринимателей * **Насыщенная корпоративная жизнь:** спортивные активности, волонтёрство, КВН и тематические комьюнити * **Поддержим твоё профессиональное развитие:** у нас развитая система наставничества, понятные карьерные треки и много возможностей для профессионального роста * **Возможность работать с друзьями:** вознаграждение за рекомендацию знакомых в команду Сбера Требования ### **Чем предстоит заниматься:** * Выезжать на встречи с клиентами, вникать в особенности ведения их бизнеса * Выстраивать долгосрочные партнёрские отношение с клиентами * Подбирать с помощью AI лучшие решения для бизнеса (более 160 решений) * Помогать собственникам бизнеса повышать финансовые показатели Условия ### **Мы ждём, что ты:** * Получил высшее или неполное высшее образование * Понимаешь принцип работы банковских продуктов для юридических лиц * Имеешь опыт работы в корпоративных продажах / продажах банковских продуктов или занимался развитием партнёров **от 1 года** * Умеешь проводить презентации продуктов и вести переговоры с первыми лицами компаний * Имеешь базовые знания работы с искусственным интеллектом (например, Гигачат) * Готов к разъездной работе **Всего три шага, чтобы стать экспертом по развитию бизнеса:** 1\. Откликнись на вакансию и расскажи о себе в сопроводительном письме. 2\. Пройди собеседование и познакомься с будущими коллегами. 3\. Приходи развивать малый бизнес страны! **Присоединяйся к команде лидеров!**

Location: Riyadh, Saudi Arabia; Cairo, Egypt; Islamabad, Pakistan; New Delhi, India; Manila, Philippines Müller's Solutions is seeking a skilled Microsoft Power BI Specialist to join our team. In this role, you will be responsible for designing, developing, and implementing interactive and insightful Power BI dashboards and reports to support data-driven decision-making across the organization. You will collaborate with business stakeholders to understand data requirements and translate them into effective visualization solutions. Key Responsibilities: Develop and maintain Power BI reports and dashboards that provide actionable insights. Connect to various data sources, perform data modeling, and ensure data accuracy and integrity. Collaborate with business users to gather requirements and deliver tailored reporting solutions. Optimize data models and queries for best performance. Train and support end-users in utilizing Power BI tools effectively. Stay updated with the latest Power BI features and industry best practices to continuously improve reporting capabilities. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Proven experience with Microsoft Power BI including dashboard development, data modeling, and DAX expressions. Strong knowledge of data visualization principles and best practices. Experience working with various data sources such as SQL Server, Excel, and cloud services. Ability to analyze complex datasets and produce clear, concise reports. Excellent communication skills to gather business requirements and convey technical information to non-technical stakeholders. Familiarity with Power Query, M language, and Power BI Service is highly desirable. Experience with data warehousing concepts and ETL processes is a plus. Preferred Qualifications: Microsoft Power BI certification (e.g., DA-100 or PL-300) is an advantage. Experience with other Microsoft Power Platform tools is a plus. Strong analytical and problem-solving skills. Ability to work independently and as part of a team in a fast-paced environment. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: South Africa; Philippines; Pakistan; Poland; Bosnia and Herzegovina; North Macedonia About Huzzle At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms across industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. This means you work closely with internal teams, contribute to meaningful projects, and have real opportunities for career growth. Role Type: Full-time Engagement: Independent Contractor Job Summary We’re looking for a GTM Engineer / Revenue Operations Specialist to design, refine, and scale the company’s go-to-market infrastructure. This role operates at the intersection of marketing, sales, product, and data, building systems that have a direct and measurable impact on revenue performance. This is a highly cross-functional position where you’ll take ownership of the entire funnel—from acquisition to revenue—ensuring clean data, efficient automation, and actionable insights at every stage. Key Responsibilities Design and manage end-to-end GTM systems across CRM, marketing, product, and data infrastructure Architect clean lead flows and scalable data pipelines with accurate attribution Map, monitor, and optimize the full revenue funnel from acquisition to conversion Write SQL queries to analyze performance, segment data, and diagnose funnel issues Build actionable dashboards that inform revenue and growth decisions Develop and maintain automation for lead routing, scoring, enrichment, and lifecycle management Integrate tools and systems using APIs, webhooks, and automation platforms (e.g., Zapier, Make) Identify and resolve funnel drop-offs, improving conversion rates across stages Align marketing, sales, and product data into a unified reporting framework Design and run experiments (e.g., landing pages, onboarding flows) and iterate based on results Maintain CRM data hygiene, governance standards, and tracking consistency Collaborate cross-functionally and translate business needs into scalable technical solutions Optimize systems and processes to improve key metrics such as CAC, LTV, and pipeline velocity Requirements 2+ years of recent hands-on experience in GTM Engineering, RevOps, or Growth Systems Proven ability to design, manage, and optimize end-to-end revenue funnels Strong SQL skills for segmentation, cohort analysis, and funnel diagnostics Experience with CRM platforms (Salesforce or HubSpot) and marketing automation tools Familiarity with modern data stack tools (e.g., Segment, Snowflake, Google Analytics) Hands-on experience with automation tools (Zapier, Make) and API integrations Solid understanding of attribution models and experimentation (A/B testing, basic statistics) Basic scripting ability (Python or JavaScript) for automation and data workflows Strong systems-thinking mindset with a focus on scalability and efficiency Excellent communication skills with the ability to translate technical concepts to business stakeholders 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

О ПРОЕКТЕ Фаундер с 20-летним опытом ищет «правую руку» по исследованиям. Создается self-hosted ПО в сфере криптообменников, кошельков и процессинга. Кроме финтеха, в орбите личные проекты фаундера: AI-слой, Wellness и Biohacking. Требуется человек, который превратит интуицию в твердые данные. Задачи: — Advanced JTBD: глубокое исследование рынков с использованием всех артефактов методологии. — Global Research: поиск и интервью с англоговорящими клиентами (Африка, Северная Америка, ЮВА). — Product Launch: вывод внутренних продуктов (кошелек, процессинг) в публичный доступ. — AI-Driven: использование Claude Code в ежедневной рутине для анализа и ресерча. — Cross-Domain: переключение между крипто-сервисами и проектами в сфере Clinical Longevity. Требования: — Опыт 2+ года в продуктовой роли с акцентом на исследования. — Активное применение Job Stories и интервью на реальных продуктах. — Свободный английский для качественных созвонов. — Полная самоорганизация, доведение задач до результата без микроменеджмента. — Понимание основ крипты (кошельки, обменники) и интерес к AI и биохакингу. Условия: — Первый месяц full-time (притирка), далее по объему задач. — Оформление по договору услуг + NDA. — Таймзона: МСК ±3 часа. — Возможность оплачиваемого тестового задания после созвона.

Location: Dubai, United Arab Emirates Müller's Solutions is seeking a highly experienced Data Management Senior Consultant with expertise in NDMO and DAMA frameworks to join our team. In this senior role, you will lead data management initiatives, ensure adherence to best practices, and drive the implementation of effective data governance and management strategies across the organization. Responsibilities: Lead the design and implementation of data management strategies following NDMO and DAMA frameworks. Develop and maintain data governance policies, standards, and procedures. Provide expert guidance and mentorship to data management teams and stakeholders. Assess and improve data quality, data architecture, and metadata management practices. Collaborate with business and IT teams to align data management initiatives with organizational goals. Conduct data management maturity assessments and recommend improvement plans. Ensure compliance with data security, privacy regulations, and industry standards. Lead training programs and workshops to build data management capabilities within the organization. Stay updated on industry trends and emerging best practices in data management. Requirements Requirements: Bachelor's or Master's degree in Information Management, Computer Science, or related field. Extensive experience (5+ years) in data management roles, including senior consulting positions. Deep understanding of NDMO (National Data Management Office) and DAMA (Data Management Association) frameworks. Proven track record in implementing data governance, data quality, and metadata management initiatives. Strong leadership and stakeholder management skills. Excellent communication, presentation, and training capabilities. Experience with data management tools and technologies. Relevant certifications (e.g., CDMP, DAMA-DMBOK) are highly desirable.

О РОЛИ Мы ищем лидера, готового возглавить направление ИТ-бизнес-анализа в сфере инновационных трансграничных расчетов. Вам предстоит работать на стыке классического банкинга и технологий будущего (DeFi/Web3), создавая продукты, которые меняют рынок ВЭД. ВАШИ КЛЮЧЕВЫЕ ВЫЗОВЫ — Strategy: Сбор требований по продуктам ВЭД и запуск смелых продуктовых гипотез. — Product Design: Формализация CJM и упаковка ценностных предложений (тарифы, офферы). — Analysis: Глубокая аналитика сегментов, метрик направления и конкурентной среды. — Architecture: Участие в проектировании систем и API для международных транзакций. — Solution: Самостоятельный поиск технических решений для сложных бизнес-задач. ЧТО МЫ ЖДЕМ ОТ ВАС — Expertise: 3+ года опыта в бизнес-анализе (Fintech) и глубокое понимание ВЭД. — Tech Stack: Понимание DeFi, блокчейна, протоколов FIX/SWIFT и стандартов банковских карт. — Skills: Владение BPMN/UML/Figma и уверенная работа с БД (Postgre, Redis, Mongo). — Compliance: Знание валютного контроля, ПОД/ФТ и регуляторных требований ЦБ РФ. — Security: Понимание методов шифрования и защиты финансовых данных. — Mindset: Проактивность, вовлеченность и умение проводить самостоятельные исследования. ПОЧЕМУ ЭТО КРУТО? — Impact: Реальное влияние на архитектуру и развитие целой экосистемы расчетов. — Complexity: Работа со сложнейшими международными кейсами и новейшими технологиями. — Status: Лидерская позиция в крупном инновационном проекте с прямым выходом на бизнес. — Reward: Высокий уровень дохода и работа в профессиональной команде в центре Москвы.

Location: India About Monster Energy: Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A day in the life: As the Order Management Lead, you'll take charge of the entire process, spearheading documentation, testing, data readiness, and user adoption with unstoppable energy. You'll power up change management, training, and hypercare to ensure a seamless transition to our cutting-edge Order Management processes and systems. The impact you’ll make: Partner with Digital Transformation and Supply Chain Transformation teams to ensure S/4HANA and Order Management initiatives align with business requirements and are effectively delivered. Ensure delivery of all assigned APAC Order Management and S/4HANA tasks, providing timely updates to Digital Transformation leadership on risks, dependencies, and opportunities. Drive APAC S/4HANA and Order Management project activity as the key regional point of contact, working closely with SMEs, Global Process Owners, Project Management, and external implementation partners. Proactively engage with Order Management stakeholders, identifying opportunities for process improvements and alignment across end-to-end processes. Oversee the logistics and transportation of products to ensure timely delivery to customers. Develop a communication plan and work collaboratively with the Customer Operations team to plan participation in project deliverables and motivate the team through change. Document current-state (“as-is”) business processes, mapping activities, stakeholders, decision points, handoffs, pain points, and gathering current state requirements. Write and contribute to detailed user stories that articulate business needs and expected outcomes and support measurement of current KPIs. Manage realistic test scenarios, prepare and cleanse test data, review and execute test scripts, and validate end-to-end business processes through system integration testing. Facilitate UAT sessions, including “Day in the Life” testing, gather feedback, validate processes, and collaborate with stakeholders to gather, validate, and format master data. Support data validation, conversion, and cutover activities; support Change Management with training requirements and materials; deliver training; and provide SME hypercare support and updates to SOPs and process documentation. Who you are: Prefer a Bachelor's Degree in the field of Supply Chain Management, Business Administration, Marketing, or related field of study. Additional Experience Desired: More than 5 years of experience in order management or supply chain management. Additional Experience Desired: Between 3-5 years of experience in customer service environment. Computer Skills Desired: SAP ECC / S/4HANA / SAP aATP. Additional Knowledge or Skills to be Successful in this role: Fluent English preferred. Read our privacy policy here: Privacy Policy