Вакансии

Location: Lagos, Nigeria We are expanding our product and technology teams and are hiring several Business Analysts across multiple domains: Digital/Web, Internal Products, SME Digital Lending, BNPL, Offline Lending, and Business Services . Our goal is to bring in professionals with international fintech or banking experience who can contribute best practices and help scale high-impact financial products. The ideal candidate is highly analytical, communicates clearly with both business and engineering teams, and is able to quickly ramp up and start delivering within 4–6 weeks . Responsibilities Work closely with Product Managers, Engineering, Risk, and Operations teams to translate business goals into clear product and system requirements. Lead discovery and requirements gathering for new features, products, and process improvements. Create and maintain functional specifications, user stories, process flows, and documentation . Support product delivery by clarifying requirements, managing scope, and ensuring alignment between stakeholders and development teams. Analyze business processes, product performance, and operational workflows to identify optimization opportunities. Ensure that delivered solutions meet business needs, regulatory requirements, and user expectations . Requirements 3–5 years of experience in Business Analysis, Product Analysis, or Product Operations. Background in fintech, banking, lending, payments, or digital financial products . Experience working with cross-functional product and engineering teams . Strong skills in requirements documentation, stakeholder management, and process modeling . Ability to quickly understand complex systems and business processes . Excellent analytical thinking and communication skills . Fluent English (spoken and written). Preferred Experience Experience in international fintech or banking environments (Europe, LatAm, SEA, USA, UK, Russia). Exposure to lending products, payments, BNPL, or digital financial platforms . Familiarity with Agile product development environments . Benefits Remote work from anywhere in the world Performance bonus, 25+ paid vacations and day-offs, personal development plan Purpose: shape the future of fintech in Nigeria with products that reach millions, backed by a competitive salary Growth: thrive in a fast paced work environment with flexibility, collaboration, and access to cutting-edge tools Join a diverse, inclusive team where all voices are valued, and professional growth is a priority.

Location: Remote Workplace: remote ABOUT YOU   We are looking for a Senior Product Analyst who is analytically rigorous, strategically minded, and a collaborative problem-solver to join our Advertising & Rewards division. The Senior Product Analyst will collaborate with Operations, Product, Engineering, and Business Stakeholders by using data-driven insights to inform the design and optimization of Xsolla’s B2C apps/websites. Additionally, they’ll lead the design and execution of multivariate AB tests, analytics schema and dashboards/reports, generating recommendations that influence our roadmap and drive product and business performance. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to drive data-informed product decisions that shape how we reward and engage players at scale.   Strong analytical and statistical skills are essential, along with experience in quantitative analysis within games or other consumer-facing apps. The ability to translate complex datasets into clear, actionable recommendations for cross-functional stakeholders will be key to your success in this role. If you're passionate about uncovering insights that drive meaningful product outcomes and love building data infrastructure and experimentation frameworks that help game developers grow their businesses and delight their players, we would love to hear from you!   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. Responsibilities Own product and data analysis for Xsolla's new B2C apps and websites, generating insights that optimize how we reward and engage users. Conduct descriptive, diagnostic, and prescriptive analysis — including product funnel mapping, user cohort analysis, and behavioral data modeling — to improve user experience and drive growth and engagement. Define KPIs for the product and build automated dashboards, reports, and models that enable smarter, faster decision-making across the business. Design, orchestrate, and analyze multivariate product experiments to drive growth, improve existing features, and test new areas of opportunity. Apply advanced analytics techniques — including machine learning — to uncover player insights, forecast economic trends, and support monetization strategies, while ensuring outputs remain interpretable and actionable for stakeholders. Collaborate with data, product, engineering, and business stakeholders to build business cases and forecasts for new feature development. Qualifications & Skills BA/BS in Mathematics, Statistics, Economics, or another quantitative field.5+ years of experience in quantitative analysis, preferably within games or other consumer-facing apps. Fluency in SQL with demonstrated ability to work with highly dimensional and complex datasets. Strong proficiency with Statsig or comparable A/B testing platforms. Strong proficiency with Looker, Tableau, or other BI/data visualization tools. Strong proficiency with Mixpanel, Amplitude, or other product analytics platforms. Comfortable operating in a fast-paced, high-growth, startup-like environment. Nice to Have Experience with machine learning or predictive modeling in a product context. Background in advertising, offerwall, or performance marketing analytics. Familiarity with user acquisition and monetization metrics in mobile or free-to-play games. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Sr. Product Analyst, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/managing budgets/accessing funds   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. Join our growing Ops Engineering team and help build internal tooling and infrastructure that empowers operators at Ramp. As an internal-facing team, you'll work directly with our operations teams to design, implement, and scale tools and systems that enable them to serve our customers more efficiently and effectively. Much of our work involves managing the Retool platform, building custom tooling on top of platforms like Zendesk, developing internal API to support internal operations, and creating operator-facing applications that help our ops teams move faster and deliver better customer experiences. Ramp is, at its core, an engineering company, and is on a mission to build the best engineering team in the world! The Ops Engineering team is highly cross-functional, working closely with operations, customer support, and other internal stakeholders to solve a wide range of infrastructure and tooling challenges. Our ideal candidate has a strong sense of ownership and enjoys owning projects from inception to scaling them in production. We value people who take pride in their work, and show an aptitude for learning quickly whether they're familiar with our stack or not. You'll be working with a nimble team of committed and talented engineers and having a large, long-term impact on technical design and engineering culture. We are intentionally pushing to use AI to automate workflows end-to-end, reducing manual toil and standardizing patterns across Retool, Zendesk, and our internal APIs. What You'll Do - Design and build full-stack internal applications and tools that empower operations teams to work more efficiently and deliver exceptional customer experiences - Develop robust backend services and APIs that power internal tooling, ensuring scalability, reliability, and performance - Build integrations with third-party platforms like Retool, Zendesk, and other operational systems to create seamless workflows - Leverage AI tooling and capabilities to build intelligent automation, enhance operator productivity, and improve decision-making within internal tools - Create data-driven features and analytics that provide operations teams with actionable insights and improved visibility - Collaborate closely with operations stakeholders to understand pain points, gather requirements, and iterate on solutions that solve real business problems - Write clean, maintainable, and well-tested code following software engineering best practices - Participate in code reviews, mentor team members, and contribute to the growth of engineering culture - Own features end-to-end from design through deployment, monitoring, and iteration based on user feedback - Participate in an On Call rotation to resolve critical issues impacting internal users What You'll Need - 5+ years of software engineering experience building and shipping production applications - Strong proficiency in modern programming languages such as Python, TypeScript/Node.js, or similar - Experience building full-stack applications with modern frameworks (React, Next.js, or similar for frontend) - Solid understanding of backend architecture, API design, and database systems (PostgreSQL, Redis, etc.) - Demonstrated aptitude for working with AI technologies, including experience integrating LLMs, building AI-powered features, or applying AI to solve business problems - Experience building internal tools or working closely with non-technical stakeholders to understand and solve their problems - Strong product sense and user empathy, with ability to translate business requirements into technical solutions - Familiarity with cloud infrastructure (AWS preferred) and modern DevOps practices - Excellent communication skills and ability to work cross-functionally with operations, product, and engineering teams - Strong sense of ownership and bias toward action, with ability to move quickly and iterate based on feedback - Experience with platforms like Retool, Zendesk, or similar internal tooling platforms is a plus BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations | Austin, US | New York, NY | San Francisco, CA | Seattle, US or London, UK About the Role Emerging Technologies & Incubation (ETI) builds and launches new products on Cloudflare’s global network. Within ETI, you’ll join the Storage Infrastructure team to build and operate a shared storage platform for the teams behind stateful products such as R2, Workers KV, and Durable Objects. We manage the underlying storage hardware, distributed databases, and object storage clusters, including fleet lifecycle automation, capacity, hardware validation, failure-domain planning, observability, and production operations. In this role, you will build platform software and automation that makes these fleet operations safe, repeatable, and scalable. Responsibilities Design and build automation and operator tooling for provisioning, configuring, expanding, upgrading, and decommissioning storage hardware, distributed databases, and object storage clusters. Engineer globally distributed storage fleets to tolerate hardware failures, network disruption, capacity pressure, and recovery events across multiple failure domains. Develop observability, alerting, and safety controls that help engineers understand fleet health and make auditable production changes. Diagnose incidents across Linux, storage, networking, and distributed systems; participate in on-call and implement durable fixes that reduce operational toil. Use AI tools throughout development and operations to accelerate debugging, incident triage, root-cause analysis, and toil reduction, while applying sound engineering judgment and verifying outputs before taking production action. Validate new storage hardware and characterize its performance during normal operation, failures, rebuilds, and other recovery conditions. Partner with R2, Workers KV, Durable Objects, Network, Capacity Planning, Performance Engineering, and Infrastructure Operations to turn service requirements into infrastructure capabilities. Desirable Skills, Knowledge, and Experience Experience designing, building, and operating infrastructure platforms or large-scale production fleets, including automation of lifecycle operations. Strong Linux systems knowledge and experience troubleshooting across compute, storage, and networking layers. Experience operating distributed systems in production, including observability, incident response, reliability improvements, and safe change management. Ability to write maintainable software in at least one programming language, such as Go, Rust, or Python. Strong written and verbal communication skills, with experience collaborating across engineering teams and technical stakeholders. Bonus Points Experience operating distributed databases or object storage systems, with knowledge of storage fundamentals such as filesystems, SSD behavior, replication, and rebuild dynamics. Experience with bare-metal provisioning, hardware lifecycle management, or storage hardware validation. Experience with infrastructure-as-code, configuration-management, or observability systems such as Terraform, SaltStack, Prometheus, or Grafana. Experience with capacity modeling, workload placement, failure-domain planning, or cross-datacenter networking. Compensation Compensation may be adjusted depending on work location. F or Bay Area based hires: Estimated annual salary of $194,000 - $266,000 For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $185,000 - $254,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Chesterfield, VA Pay: Starting at $22.00 per hour, with room to grow Location: Chesterfield, VA (in-home) Hours: Daytime shifts available, Monday–Friday 9 AM–3 PM (full-time) and Monday–Wednesday 9 AM–2/3 PM Pets: Must be comfortable working in homes with pets (dogs and cats). At Learning Ladders ABA, we are looking for a compassionate, energetic and reliable Registered Behavior Technician (RBT) to join our team. If you're passionate about helping children and teens with autism build confidence, independence and everyday life skills, we'd love to have you! What You'll Do: Provide ABA therapy under BCBA supervision Accurately collect data and document sessions in the Rethink app within 24 hours Follow and maintain fidelity to individualized behavior intervention plans Communicate effectively with families and report observations to your supervising BCBA What We're Looking For: 6 months of experience working with children with developmental disabilities Current RBT certification Familiarity with ABA data collection and session documentation Strong communication skills, patience, creativity and reliability Room to Grow: Pay increases based on performance and experience RBT certification support and ongoing training A path toward the BCBA supervision track Flexible scheduling and a supportive, mission-driven team Join us and make an impact!

Location: Trenton, New Jersey About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, Ohio, Kentucky, Mississippi, and Georgia. Ennoble Care’s clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, “To Care is an Honor.” Join Ennoble Care today! Purpose: We are looking for an experienced Nurse Practitioner to provide primary care to homebound and palliative care patients in the Mercer County, NJ region. You will apply medical techniques and principles under the supervision of a physician and you will care for a diverse set of patients with chronic diseases. What You'll Do: Provide high quality care to primary and palliative patients in and around (Mercer County, NJ) Assess patient's health by performing physical examinations; obtaining, updating, and studying medical histories and creating the best plan for care. Effectively communicate with office staff and clinical operations across various internal platforms Provide high quality, patient centered care to a panel of patients Attend quarterly medical staff meetings Develop impressions, diagnosis, and treatment plans Foster trust and consult with patients, families, and caregivers during visits Order diagnostic testing as medically necessary Prescribe medications supplies and appropriate medically necessary interventions What You'll Need: Board Certified, with a valid NP or PA certification in the state of New Jersey Strong clinical skills with the ability to accurately and confidently treat, assess, and diagnose Positive demeanor and strong people skills Ability to confidently problem solve and operate independently 1-2 years of primary care experience with geriatric patients (hospice experience highly preferred but not required) What you'll get: A flexible schedule - so you can see your patients during a schedule that works for you Autonomy - so you can feel trusted to provide the best care possible. Support - from our in-house clinical team with any requests or orders. Growth - the opportunity to join our growing leadership team Salary Range: $$+ (depending on experience and other incentives) Full-time employees qualify for the following benefits: Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity. Paid Time Off Paid Office Holidays All employees qualify for these benefits: Paid Sick Time 401(k) with up to 3% company match Referral Program Payactiv: pay-on-demand. Cash out earned money when and where you need it! Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended. Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

Location: Salem, New Jersey About Us Ennoble Care is a mobile primary care, palliative care, and hospice service provider with patients in New York, New Jersey, Maryland, DC, Virginia, Oklahoma, Kansas, Pennsylvania, Texas, Florida, Ohio, Kentucky, Mississippi, and Georgia. Ennoble Care’s clinicians go to the home of the patient, providing continuum of care for those with chronic conditions and limited mobility. Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health management, and chronic care management, to ensure that our patients receive the highest quality of care by a team they know and trust. We seek individuals who are driven to make a difference and embody our motto, “To Care is an Honor.” Join Ennoble Care today! Purpose: We are looking for an experienced Nurse Practitioner to provide primary care to homebound and palliative care patients in the Salem County, NJ region. You will apply medical techniques and principles under the supervision of a physician and you will care for a diverse set of patients with chronic diseases. What You'll Do: Provide high quality care to primary and palliative patients in and around (Salem County, NJ) Assess patient's health by performing physical examinations; obtaining, updating, and studying medical histories and creating the best plan for care. Effectively communicate with office staff and clinical operations across various internal platforms Provide high quality, patient centered care to a panel of patients Attend quarterly medical staff meetings Develop impressions, diagnosis, and treatment plans Foster trust and consult with patients, families, and caregivers during visits Order diagnostic testing as medically necessary Prescribe medications supplies and appropriate medically necessary interventions What You'll Need: Board Certified, with a valid NP or PA certification in the state of New Jersey Strong clinical skills with the ability to accurately and confidently treat, assess, and diagnose Positive demeanor and strong people skills Ability to confidently problem solve and operate independently 1-2 years of primary care experience with geriatric patients (hospice experience highly preferred but not required) What you'll get: A flexible schedule - so you can see your patients during a schedule that works for you Autonomy - so you can feel trusted to provide the best care possible. Support - from our in-house clinical team with any requests or orders. Growth - the opportunity to join our growing leadership team Salary Range: $$+ (depending on experience and other incentives) Full-time employees qualify for the following benefits: Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity. Paid Time Off Paid Office Holidays All employees qualify for these benefits: Paid Sick Time 401(k) with up to 3% company match Referral Program Payactiv: pay-on-demand. Cash out earned money when and where you need it! Candidates must disclose any current or future need for employment-based immigration sponsorship (including, but not limited to, OPT, STEM OPT, or visa sponsorship) before an offer of employment is extended. Ennoble Care is an Equal Opportunity Employer, committed to hiring the best team possible, and does not discriminate against protected characteristics including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status.

Location: Cairo, Egypt; Alexandria, Egypt; Cape Town, South Africa; India; Johannesburg, South Africa; Lagos, Nigeria; Nairobi, Kenya; Remote Workplace: hybrid About Yassir   Yassir is the Super App designed to make your life easier. Yassir’s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency & Trust, Quality, Performance. And we are growing fast - super fast. By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa. About the Role Yassir is seeking a highly skilled and motivated Data Scientist to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir’s most critical problems. About the Team The AI team is part of Yassir’s central Data & AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what’s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us! Key Responsibilities Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it. We aim for this role to focus on optimization Pricing capabilities, such as Dynamic / Surge Pricing, Discounts / Commissioning Optimization and Personalized Pricing Identify and propose ML opportunities related to your scope and beyond Support with requirements definition and prioritization of ML projects Collaborate with cross-functional Engineering and Product teams Champion Data Quality as a critical input component to all ML solutions and Analytics Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering Utilize Statistical and ML techniques, as appropriate, for model training Validate and tune ML models Visualize analysis / modelling results focusing on meaningful, actionable metrics and insights Deploy and test ML applications using our MLOps infrastructure Monitor ML models on their technical performance, business impact and underlying data / concept drift Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting Maintain and improve technical documentation of delivered solutions Support the Data & AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities Key Requirements Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Operational Research, Computer Science, Software Engineering, Physics Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 2 years of industry experience Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices. Prior experience with Pricing / Economics related problems and/or modelling techniques - we welcome Economics / Econometrics backgrounds and experience Comfortable with key Statistical concepts, such as statistical testing and causal analysis Analytical thinking and problem solving skills Engineering mindset focused towards delivering robust applied data science solutions Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred Mastering of the end-to-end (ML) model development lifecycle Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English Positive attitude and resilience Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building Internal drive, self-motivation and ability to work independently including own effective project management Nice to have Experience with On-demand, Mobility or Financial Services companies Experience working on ML features for Digital Products (apps, websites)

Location: Middle East; Dubai; United Arab Emirates; Saudi Arabia; Riyadh Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! ABOUT NORTH: North https://cohere.com/north is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. WHY THIS ROLE? This role offers a unique opportunity to shape how enterprises harness the power of AI in real-world applications. As a bridge between our core North product and our clients’ engineering teams, you’ll be at the forefront of solving complex problems and securely integrating AI into critical sectors such as finance, healthcare, and telecommunications. We’re looking for Software Engineers with Applied AI experience who can own the design, build, and deployment of agentic workflows powered by Large Language Models (LLMs), from early prototypes to production-grade AI agents, to deliver concrete business value in enterprise workflows. You’ll work closely with customers on real-world business problems, often building first-of-their-kind agent workflows that integrate LLMs with tools, APIs, and data sources. While our pace is startup-fast, the bar is enterprise-high: agents must be reliable, observable, safe, and auditable from day one. Note: between 20 - 40% travel anticipated In this role, you will: - Work closely with our enterprise customers to translate high-value, ambiguous business problems into well-framed agentic workflows with clear success criteria and evaluation methodologies - Lead the design, build, and delivery of LLM-powered agents that reason, plan, and act across tools, APIs, and sensitive enterprise data sources, with enterprise-grade reliability and performance - Build and ship features for North, our AI workspace platform, working across the full product lifecycle from conceptualisation through production - Take ownership of scoping and shaping use cases end-to-end, flexing into whatever technical area the problem demands (including frontend) to drive the most effective solution - Contribute to shared frameworks and patterns that enable consistent, high-quality delivery across customers and teams - Drive clarity in ambiguous situations, build alignment, and raise engineering quality across the organization - Travel up to 20–40% to work on-site with customers and partners You may be a good fit if: - You have hands-on experience building and deploying production-grade software in Python; you write clean, testable, observable, scalable code - You've built and deployed highly performant RAG and agentic applications, including agents that plan and execute multi-step tasks using patterns like ReAct or Plan-and-Execute - You're deeply familiar with the LLM stack: frontier models, vector databases, and orchestration frameworks - You have a proven ability to build robust evaluation frameworks, moving well beyond trial and error, to measure agent accuracy, safety, and latency - You’re experienced working directly with customers and can lead technical discussions with enterprise stakeholders, translating ambiguous business needs into concrete technical specs - You have experience owning the full scope of a use case end-to-end - You thrive in fast-paced and ambiguous environments and can execute well even when priorities are shifting It's a bonus if you have: - Experience setting architectural standards for AI and agentic systems across distributed teams - Experience flexing into unfamiliar technical areas, such as frontend, when the problem calls for it - Exposure to regulated or sensitive industry environments (finance, healthcare, telecoms) - Experience with enterprise security, compliance, or auditability requirements for AI systems We are open to candidates currently based in the Middle East or who are open to travelling or relocating. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Cairo, Egypt; Alexandria, Egypt; Cape Town, South Africa; India; Johannesburg, South Africa; Lagos, Nigeria; Nairobi, Kenya; Remote Workplace: hybrid About Yassir Yassir is the Super App designed to make your life easier. Yassir’s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. We aspire towards providing our users with the most essential services to their door by leveraging technology and a large ecosystem of partners. We at Yassir stand for: Ambition, Transparency & Trust, Quality, Performance. And we are growing fast - super fast.By choosing a career at Yassir, you choose to be part of one of the most impactful, fastest-growing Tech companies in Africa. About the Role Yassir is seeking a highly skilled and motivated Data Scientist to join our Artificial Intelligence (AI) team and contribute to some of our key projects, such as Personalization and Recommendation Engines. As a Data Scientist, you will play a crucial role in analyzing and modelling data to optimize our Machine Learning (ML) systems. Your expertise in both predictive modelling and software development will be essential in driving our solutions and providing value to Yassir. This is a very exciting opportunity, tackling some of Yassir’s most critical problems. About the Team The AI team is part of Yassir’s central Data & AI domain, which is responsible for all data related activities in the organization - from Data Engineering, Data Platform management and Data Analytics all the way to AI solutions and MLOps infrastructure development. We are a global team of Data and AI / ML experts, encompassing diverse backgrounds and skills. We strive to build state-of-the-art Data and ML infrastructure and solutions, and ultimately a Data Culture supported by responsible and democratized data access, data-driven decision making and automation. We push the envelope of what’s feasible, we challenge each other, we support each other, and we take great pride in our work. Most of all we are value-driven to create impact from our data solutions. If you have an inherent curiosity about the fields Data and AI, a relevant background and an internal zeal and drive to contribute, please come join us! Key Responsibilities Become an expert point of contact and thought leader on your scope by mastering the details and principles pertaining to it. We aim for this role to focus on Personalization and Recommendation Engines capabilities. Identify and propose ML opportunities related to your scope and beyond Support with requirements definition and prioritization of ML projects Collaborate with cross-functional Engineering and Product teams Champion Data Quality as a critical input component to all ML solutions and Analytics Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering Utilize Statistical and ML techniques, as appropriate, for model training Validate and tune ML modelsVisualize analysis / modelling results focusing on meaningful, actionable metrics and insights Deploy and test ML applications using our MLOps infrastructure Monitor ML models on their technical performance, business impact and underlying data / concept drift Explain technical solutions in a business-friendly manner, supporting Product teams in their communications and reporting Maintain and improve technical documentation of delivered solutions Support the Data & AI domain in developing its technical capabilities, improving its ways of working and collaboration with other dependent teams Champion Data Culture, proactively share knowledge across teams, and participate and drive team building activities Key Requirements Solid Mathematical / Statistical / Machine Learning as well as Software Development technical skills - supported by a Masters degree or above in a relevant quantitative field such as Mathematics, Statistics, Data Science, Machine Learning, Computer Science, Software Engineering Comfortable in efficient, production quality Python and SQL coding at a professional setting with at least 3 years of industry experience Comfortable with key software engineering concepts, such as code / memory profiling, code optimization, scalability, code / QA testing, cost optimization and associated best practices. Prior experience with Personalisation and Evaluation related problems and/or modelling techniques Comfortable with key Statistical concepts, such as statistical testing and causal analysis Analytical thinking and problem solving skills Engineering mindset focused towards delivering robust applied data science solutions Visualization skills, including experience with common Python ecosystem libraries and/or Analytics / BI tooling Familiarity and prior use of Cloud solutions and their data / ML services - at Yassir we use Google Cloud Platform (GCP), experience with which is highly preferred Mastering of the end-to-end (ML) model development lifecycle Excellent communication skills, including presentation and oral / written communication (clear articulation, concise documentation) in professional English Positive attitude and resilience Strong interpersonal skills focused on peer support, empathy, active listening, team building and stakeholder relationships building Internal drive, self-motivation and ability to work independently including own effective project management Nice to have Experience with Delivery, Mobility or Financial Services companies Experience working on ML features for Digital Products (apps, websites)

Location: Berlin Office; Romania; Norway; Estonia; Latvia; Slovenia; Netherlands; Hungary; Kosovo; Portugal; Poland; Serbia; Germany; Austria; Finland; London Office; Albania; Lithuania; Slovakia; Ireland; Bulgaria; Denmark; Belgium; Czech Republic; United Kingdom; Croatia; Spain; Greece Workplace: Remote The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact. Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve: - Cultivated a community of more than 650,000 active developers and builders - Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects - Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register. We’re in a defining moment of an incredible journey. Come and build with us. 🎯 Your main goal will be to build and ship end-to-end TypeScript product features that make n8n safer, more scalable, and more programmable for enterprise customers — helping large organizations run business-critical automation with confidence. To do so, you’ll own outcomes across the full stack and stay close to users, product, security, and enterprise-scale requirements: ENTERPRISE PRODUCT OWNERSHIP - Own product surfaces from discovery to delivery across areas like identity, access, governance, APIs, observability, environments, and enterprise integrations. - Ship high-quality features fast across the TypeScript stack, balancing usability, security, performance, and maintainability. - Partner closely with Product to translate complex enterprise customer needs into clear scopes, technical trade-offs, and measurable outcomes. FULLSTACK DELIVERY ACROSS PLATFORM AND PRODUCT - Build and evolve customer-facing experiences in Vue or React for admins, developers, and enterprise users managing n8n at scale. - Develop scalable Node.js services and APIs that power authentication, permissions, workflow lifecycle management, observability, integrations, and partner use cases. - Move fluidly between frontend and backend codebases to unblock your team and keep momentum high across complex product areas. SECURE, SCALABLE ENTERPRISE FOUNDATIONS - Build capabilities that help organizations control who can do what across n8n, including authentication, provisioning, RBAC, credential infrastructure, and secrets management. - Contribute to safe workflow delivery through environments, source control, versioning, testing, CI/CD validation, and deployment workflows. - Improve governance, observability, auditability, and runtime controls so admins can understand, troubleshoot, and enforce how n8n is used. APIS, INTEGRATIONS, AND EXTENSIBILITY - Build and maintain enterprise-grade integrations, nodes, SDK capabilities, and execution patterns that support automation at scale. - Design APIs, embed capabilities, and multi-instance management features that make n8n programmable for partners, developers, and large customers. - Instrument features end-to-end so you can measure impact, debug real-world behavior, and continuously improve reliability for business-critical workflows. TEAMS YOU COULD JOIN We’re currently hiring across multiple enterprise product engineering teams, including IAM, Enterprise Nodes, API & OEM, and Governance & Observability. During the interview process you’ll be matched to a team based on your strengths and what you’re most excited to build. - Learn more about the teams and their focus areas here https://app.notion.com/p/Discover-Engineering-n8n-1b65b6e0c94f80688f43d9bbc76023c3?pvs=21. REQUIREMENTS MUST-HAVES - 🧩 Fullstack JavaScript/TypeScript experience: You’ve shipped customer-facing features using TypeScript across frontend and backend, and you feel comfortable working fullstack. - 🧠 Product-minded engineering: You talk about users, workflows, and outcomes rather than only implementation details, and you enjoy turning complex customer problems into simple product experiences. - ⚙️ Modern web stack fluency: You have hands-on experience with TypeScript, Node.js, and either Vue or React. - 🏢 Enterprise SaaS mindset: You understand the expectations of large organizations around security, reliability, scalability, auditability, and administrative control. - 🌐 Scalable systems experience: You’ve built or operated high-traffic SaaS systems and understand trade-offs across performance, reliability, maintainability, and developer velocity. - 📈 Metrics and instrumentation ownership: You’re used to instrumenting what you ship, measuring impact, and using data to decide what to build, fix, or iterate next. - 🧭 Ownership in small-to-mid teams: You’re comfortable wearing multiple hats, navigating ambiguity, and adapting to fast-changing priorities while keeping quality high. - 🤝 Collaborative builder mindset: You share knowledge through code reviews, docs, and mentorship, and you thrive in a team that builds together. NICE-TO-HAVES - 🔐 Identity, access, or security experience: You’ve worked on SSO, SAML, OIDC, LDAP, MFA, SCIM, RBAC, permissions, secrets management, or credential infrastructure. - 🚢 SDLC and deployment workflows: You’ve built features around environments, Git-based workflows, versioning, testing, CI/CD, release controls, or approval gates. - 🔌 Integrations and APIs: You’ve built integrations, APIs, SDKs, automation platforms, or developer tooling that helps others extend a product. - 📊 Observability and governance: You’ve worked with audit logs, OpenTelemetry, Prometheus, Grafana, SIEM integrations, admin controls, usage insights, or runtime policies. - 🤝 OEM or partner platform experience: You’ve contributed to embeddable products, partner platforms, multi-instance management, air-gapped deployments, or enterprise developer portals. - 🛠️ OSS and community involvement: You contribute to open-source, build side projects, or participate in developer communities. Why join us? At n8n, your work won’t disappear into a backlog. You’ll build the enterprise-grade foundations that make n8n safe, observable, programmable, and reliable for large organizations running business-critical workflows. You’ll have direct impact across product areas like identity, governance, APIs, SDLC, integrations, and observability, while helping shape how n8n scales for its next generation of enterprise customers. You’ll join a fast-growing, remote-first team where autonomy is real, collaboration is valued, and your impact is visible across the product. Sound like a challenge you’re excited to take on? Apply now — and help us build the future of automation. n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status. We can sponsor visas to Germany; for any other country, you need to have existing right to work. Our company language is English. You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35). Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. BENEFITS - Competitive compensation 💸 – We offer fair and attractive pay. - Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. - Work/life balance 🏖️ – We work hard but ensure you have time to recharge: - Europe: 30 days of vacation, plus public holidays wherever you are. - US: 20 vacation days, 8 sick days, plus public holidays wherever you are. - Health & wellness 🩺 – - Europe: We provide benefits according to local country norms.* - US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. - Future planning 💰 – - Europe: We provide pension contributions according to local country norms.* - US: 401(k) retirement plan with a 4% employer match. - Financial security 🛡️ – - Europe: We provide benefits according to local country norms.* - US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. - Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. - A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! - Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. - Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. - Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang. *Country and/or State specific details provided in your employment agreement.

Location: Riyadh, Saudi Arabia; Cairo, Egypt; Delhi, India; Casablanca, Morocco; Dubai, United Arab Emirates Müller’s Solutions is looking for a Google Cloud Application Modernization Specialist to drive our application modernization initiatives. In this role, you will work closely with clients to assess their existing applications and transform them into modern, cloud-native solutions using Google Cloud technologies. Your expertise will enable organizations to leverage the flexibility, scalability, and innovation that Google Cloud offers. Key Responsibilities: Evaluate existing application architectures and identify opportunities for modernization using GCP services. Design and implement cloud-native architectures that enhance application performance and scalability. Guide clients through the application migration process, ensuring best practices are followed to minimize downtime and disruptions. Collaborate with development teams to refactor and containerize applications for deployment on Google Kubernetes Engine (GKE) or App Engine. Facilitate workshops and training sessions to educate clients about cloud technologies and modernization strategies. Assess and implement DevOps practices and CI/CD pipelines to streamline application delivery and operations. Monitor and optimize modernized applications to ensure they meet performance, security, and compliance standards. Document modernization processes, architectures, and lessons learned for knowledge sharing within the organization. Stay current with industry trends, emerging technologies, and Google Cloud advancements related to application modernization. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. 5+ years of experience in application development, architecture, or modernization, with a strong focus on Google Cloud Platform. Proven experience with microservices architecture, containerization, and orchestration technologies like Kubernetes. Strong understanding of Google Cloud services related to application development, such as Cloud Run, Cloud Functions, and BigQuery. Experience with programming languages such as Java, Python, or Go in developing cloud-native applications. Solid knowledge of DevOps practices and tools for continuous integration and delivery. Excellent communication skills, with the ability to guide and influence clients and technical teams. Strong problem-solving abilities and a passion for technology and innovation. Preferred Qualifications: Google Cloud certifications (e.g., Google Cloud Professional Cloud Architect or Google Cloud Professional Application Developer) are a plus. Experience with legacy application modernization and migration strategies. Familiarity with Agile methodologies and practices. Previous experience working directly with clients in consulting or customer-facing roles. 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: Riyadh, Saudi Arabia; Dubai, United Arab Emirates; Cairo, Egypt; Delhi, India; Casablanca, Morocco Müller's Solutions is seeking a GCP DevOps Specialist to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining our Google Cloud Platform (GCP) infrastructure and DevOps practices. Your expertise will drive the continuous improvement of our development and deployment processes, ensuring high availability and scalability of applications hosted on GCP. You will work closely with development, operational, and security teams to implement CI/CD pipelines, manage cloud resources, and enhance application performance. Key Responsibilities: Design, deploy, and manage GCP infrastructure components, including virtual machines, storage solutions, Kubernetes, and serverless functions. Develop and optimize CI/CD pipelines using tools such as Jenkins, GitLab CI, or Google Cloud Build. Implement monitoring and logging solutions to ensure reliability and security of cloud-based applications. Collaborate with cross-functional teams to streamline development workflows and enhance operational efficiencies. Automate infrastructure provisioning and management through Infrastructure as Code (IaC) using tools like Terraform or Google Deployment Manager. Perform cost optimization analyses and resource allocation planning for GCP services. Support incident management processes and provide technical guidance to resolve deployment and operational issues. Continuously evaluate new cloud technologies and services to enhance our GCP environment. Requirements Requirements: Degree: Bachelor's degree in Computer Science, Information Technology, or a related field. Experience: 3+ years of experience in cloud infrastructure management and DevOps practices, with a strong focus on Google Cloud Platform. Technical Skills: Proficient in Google Cloud services (e.g., GCE, GKE, BigQuery, Cloud Functions), CI/CD tools, and container orchestration (Kubernetes). Experience with Infrastructure as Code (IaC) using Terraform or similar tools is highly desirable. Additional Skills: Strong experience with scripting languages (Python, Bash) for automation tasks. Familiarity with monitoring tools (e.g., Stackdriver, Prometheus) and security best practices in cloud environments. Understanding of Agile methodologies and DevOps culture. Communication Skills: Excellent communication skills with the ability to work effectively in a collaborative environment. Preferred Qualifications: Certifications such as Google Cloud Professional DevOps Engineer or Google Cloud Architect are a plus. Experience with multi-cloud or hybrid cloud environments. Ability to troubleshoot complex systems and provide solutions quickly. Strong analytical and problem-solving skills, with a focus on continuous improvement. A passion for cloud technologies and keeping up-to-date with industry trends. 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: Dubai, United Arab Emirates; Riyadh, Saudi Arabia; Cairo, Egypt; Casablanca, Morocco; Delhi, India Müller’s Solutions is looking for an experienced Big Data Engineer to join our innovative team. In this role, you will be responsible for designing and developing scalable big data solutions that enable advanced analytics and insights across the organization. You will work with large data sets and utilize cutting-edge technologies to ensure data processing is efficient and reliable. Key Responsibilities: Design, build, and maintain scalable data pipelines using big data technologies such as Apache Spark, Hadoop, and Kafka. Collaborate with data scientists, analysts, and IT teams to identify data requirements and deliver solutions that meet business needs. Ensure high data quality and integrity by implementing robust data validation and testing processes. Optimize data storage solutions for performance and cost-efficiency across cloud and on-premises environments. Monitor and troubleshoot data processing workflows to ensure timely data delivery. Document data architectures, processes, and workflows for knowledge sharing and compliance. Stay ahead of industry trends and best practices in big data technologies and methodologies. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. 3+ years of experience as a Big Data Engineer or in a similar data engineering role. Proficiency in big data technologies such as Apache Spark, Hadoop, and Apache Kafka. Strong coding skills in programming languages like Java, Scala, or Python. Familiarity with data processing frameworks and ETL tools. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., HDFS, S3, BigQuery). Analytical mindset and excellent problem-solving abilities. Strong communication skills to collaborate effectively with technical and non-technical stakeholders. A self-motivated and proactive approach to work, with the ability to manage multiple tasks and deadlines. Preferred Qualifications: Experience with machine learning frameworks and algorithms is a plus. Knowledge of data governance and security best practices. Familiarity with containerization technologies and orchestration tools like Docker and Kubernetes. Benefits 1- Attractive Package. 2- Family Benefits. 3- Visa. 4-Air Tickets.

Location: Pakistan; South Africa; Philippines; Mexico; Colombia About Huzzle At Huzzle, we connect high-performing B2B sales 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 sales 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 Job Summary We are seeking a Remote AI Backend / Full-Stack Engineer with strong Python and modern web development experience to help build and scale an AI-powered travel planning platform. You will work closely with the product and engineering teams to develop backend services, build APIs, and contribute to frontend features. This role requires a developer who can write clean, scalable code, collaborate through GitHub pull requests, and contribute to sprint planning in an agile environment . The ideal candidate is comfortable working in a startup environment , takes ownership of deliverables, and is passionate about building high-quality AI-driven applications. Key Responsibilities Develop and maintain backend services using Python and FastAPI Build and optimize APIs that power AI-driven travel planning features Collaborate with engineers through high-quality GitHub pull requests and code reviews Contribute to sprint planning and agile development cycles Work on frontend components using React Integrate backend systems with MongoDB databases and AWS infrastructure Ensure code follows clean architecture principles and coding standards Improve system performance, reliability, and scalability Collaborate with AI and product teams to implement new platform capabilities Requirements Strong English communication skills Strong experience with Python backend development Experience building APIs using FastAPI or similar frameworks Familiarity with React for frontend development Experience working with MongoDB Experience using GitHub for version control, pull requests, and collaborative development Understanding of cloud infrastructure (AWS or similar platforms) Ability to contribute effectively to sprint planning and agile workflows Nice to Haves Experience working with AI-assisted development tools (e.g., Claude Code) Strong understanding of software architecture and scalable system design Ability to write high-quality, maintainable, and well-structured code Experience working in fast-paced startup environments 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: Auckland Workplace: OnSite ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. At Halter, data is the lifeblood of everything we build. Every second, collars stream behavioural, location, and health signals from cows in paddocks across the globe. Pair that with remote sensing, grazing data and pasture cover, and you have the foundation for helping farmers make smarter decisions every single day. But that's only one piece. Internally, we rely on production data from our manufacturing floor, field performance data from collars in the wild, and product analytics to shape how we build and scale. ABOUT THE ROLE We're looking for a Data Engineer with strong backend instincts to join our Data Engineering team to build the pipelines that make all of this work together. Day-to-day you'll partner closely with our machine learning, product, and platform teams to design systems that are reliable, observable, and ready for what's next. Whether it's optimising ingestion for billions of daily events, building robust transformation layers, connecting disparate data sources into a coherent whole, or ensuring data quality at scale you'll own problems end-to-end. If you want your work to have a tangible impact on how the world farms, this is the role for you. WHAT YOU’LL BE RESPONSIBLE FOR - Design, build, and maintain scalable data pipelines that move data reliably from source to insight. - Own data modelling decisions: clean schemas, sensible abstractions, and infrastructure that scales with the business. - Work closely with machine learning, product, and platform teams to ensure data is accessible, accurate, and ready when they need it. - Apply AI tools (like Claude Code or Cursor) to improve velocity while keeping pipelines easy to understand and evolve.Champion data quality by building validation, monitoring, and alerting so issues surface before they cause problems downstream. - Help define and evolve data practices and standards across the organisation, balancing pragmatic delivery with long-term maintainability. - Support and mentor other engineers through design conversations, code reviews, and generous context sharing. - Stay hands-on, helping shape not just the plumbing, but the data products that drive decisions.Contribute to the reliability and freshness of our data systems, especially when things get tricky at scale. - Help evolve our testing strategies, CI/CD workflows, and infrastructure patterns for data. WHO WE’RE LOOKING FOR - You have strong experience building and maintaining data pipelines for mission-critical systems, with a solid grasp of batch and streaming patterns.You have a confident understanding of data engineering best practices: modelling, transformation, orchestration, and quality assurance. - You're familiar with cloud infrastructure, ideally AWS. We use Athena, S3, Kinesis, SQS, and SNS, but experience with similar tools translates well. - You understand how to build systems that are observable, testable, and easy to debug - You're a product-minded engineer. You care about why we're building something, not just how. - You embrace ambiguity. At Halter, the problems worth solving rarely come with a clear spec. You're comfortable navigating uncertainty and making pragmatic calls. - You're deeply curious and motivated by impact. Bonus points if you're genuinely interested in agriculture, but what matters most is that you want your work to matter. - You're a highly effective collaborator. You lift the people around you through clear communication, generous knowledge sharing, and a low ego. - Importantly, we're looking for someone who is passionate about what they do and eager to learn. OUR BENEFITS - Importantly, we offer an inclusive and attractive remuneration package made up of salary, benefits and an employee stock ownership plan. - Healthy body, healthy mind. We’re partnered with Southern Cross Health Insurance to support your well-being. - Our personal growth is important. Halter offers an annual $1000 self-development budget to be used for anything that fuels personal growth. - We offer 6 months of fully paid parental leave for primary caregivers, 4 weeks of fully paid secondary caregiver leave and many other parental benefits that support you and your family. - Our time to recharge is valued, we’re offered wellness leave and unlimited paid annual leave. OUR OFFICE FIRST APPROACH There’s a reason you visit your friends in person, live with your family and don’t do dinners over Zoom. Humans are wired for connection. We believe a world-class, in-person office culture is the best way for high-performing teams. Being office first is a core pillar of our culture. We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful and aligned work. We don’t like having heaps of rules or policies, but this means having strong, trusted relationships is critical. We’re office first, not office only. This means working from the office everyday is our default setting, but we flex when we need to. We have a high-trust culture, so everyone is trusted to do what’s best for Halter. Our office vibe is something special, it’s hard to describe until you’re here, but people at Halter who have come from fully remote or hybrid companies say they could never go back - the high energy and spectacular people they are now surrounded by everyday makes work so enjoyable. Your growth, your learning and your impact is truly unlimited here, and a big part of that comes from being together solving problems, innovating, building context, and constantly learning from each other. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. WHY OUR TEAM LOVES WORKING AT HALTER: - Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations. - Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems. - You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund. - This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"

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

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is seeking Software Engineers to join our Observability team within the Infrastructure organization. The Observability team owns the monitoring and telemetry infrastructure that every engineer and researcher at Anthropic depends on, from metrics and logging pipelines to distributed tracing, profiling, error analytics, alerting, and the dashboards and query interfaces that make it all actionable. By joining this team, you'll have a direct impact on the reliability and operational excellence of Anthropic's research and product systems. As Anthropic scales its infrastructure across large GPU, TPU, and Trainium clusters, the volume and complexity of operational data is growing by orders of magnitude, and an increasing share of the most challenging problems live below the application layer. We're building next-generation observability systems, including high-throughput telemetry pipelines, fleet-wide continuous profiling, eBPF-based tracing and network visibility, and agentic diagnostic tools, so engineers can detect, diagnose, and resolve issues in minutes rather than hours, even when the answer lies in the kernel, the network stack, or an accelerator rather than on a dashboard. Key responsibilities Design and build scalable telemetry ingest and storage pipelines for metrics, logs, traces, and error data across Anthropic's multi-cluster infrastructure Build observability solutions that give engineers deep, low-overhead visibility into system behavior across the fleet Own and evolve core observability platforms, leading migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth Build instrumentation libraries, SDKs, and eBPF-based auto-instrumentation to emit high-quality telemetry, with and without code changes Reduce mean time to detection and resolution by building cross-signal correlation (from kernel-level events up to application traces), unified query interfaces, and AI-assisted diagnostic tooling Improve fleet-wide efficiency by turning continuous profiling and utilization telemetry into actionable optimization insights across CPU, memory, and accelerator fleets Partner with Research, Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization Minimum qualifications Experience building and operating large-scale observability or monitoring infrastructure Hands-on experience with observability signals end to end, from instrumentation through ingest to query and analysis Understanding of high-throughput telemetry pipelines and the tradeoffs involved in collecting, storing, and querying operational data at scale Comfort debugging below the application layer, in the kernel, the network stack, or the hardware Excellent communication skills and the ability to partner with internal teams to improve their operational visibility and incident response capabilities Ability to work independently on ambiguous, high-impact technical challenges Preferred qualifications Experience building or operating eBPF-based observability in production, such as tracing, profiling, or network visibility Experience running continuous profiling at fleet scale, including managing overhead budgets and symbolization Kernel- and syscall-level debugging experience and performance engineering skills Experience profiling or instrumenting accelerator workloads Experience operating metrics systems at very high cardinality, or large-scale telemetry storage backends Experience with log storage migrations or operating columnar databases (e.g., ClickHouse, BigQuery) for analytics workloads Experience with OpenTelemetry instrumentation, collector pipelines, and tail-based sampling strategies Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting Enthusiasm for building foundational infrastructure The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.