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Location: Argentina Brainlabs is the independent, founder-led agency building the future of media. We have over 1000 Brainlabbers based across the global, all united through the 12 principles laid out in our Culture Code. We're full-service, with people and AI agents working side by side, all aligned to one thing: maximizing our clients' revenue through a genuinely scientific approach to media. If you want to help play your part in achieving this for the world's biggest brands in an environment that will support and challenge you in equal measure, this is where you do it. Tell me about this role! As a Manager, SEO & Data Analytics , you will help shape how we define, measure, and report performance across a single enterprise SEO program. You will turn complex search, AI visibility, keyword, and reporting requirements into clear methodologies that client teams can use with confidence. This role sits at the intersection of SEO strategy, data analysis, and stakeholder reporting, helping ensure our measurement approach is consistent, actionable, and aligned to client business goals. What you do Define reporting requirements, measurement frameworks, and governance standards across SEO and AI Search workstreams for a single enterprise client. Build durable approaches for keyword coverage, AI visibility tracking, prompt categorization, reporting cadence, and KPI interpretation. Partner closely with SEO, data, and client delivery teams to turn ambiguous asks into structured requirements. Identify reporting risks or gaps and ensure insights are clear enough to support executive-level decision-making. Who you are Strong enterprise SEO, B2B SaaS, measurement, and reporting experience Comfortable working with imperfect or evolving data, with the ability to create structure, rigor, and consistency BigQuery and Adobe Analytics experience Strong data analysis skills with the ability to translate technical details into clear business implications Highly organized, detail-oriented, and confident working across SEO, analytics, and client stakeholders How you succeed You will live our culture code every day! Effective campaign creation and delivery metrics. Internal targets/metrics on technology adoption and process optimisation met. You will hit our quality assurance metrics on all campaigns you lead. Client satisfaction targets being met (internal & external). Learning certifications created and met across the practice. Actively managing workload of your delivery teams to maximize output. What's in it for you ✨ This is a full time role (en relación de dependencia) Hybrid salary (50% of your net salary in USD) 20 working days vacation plus all Argentina public holidays. Private healthcare (OSDE 360). Adaptive/hybrid working. Free breakfast and lunch when in office. Access to learning and development opportunities. Mobility programmes - work from another country for up to 30 days! #LI-CO1 What happens next? We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you. A note on our offices: We pride ourselves in being a company with an office-centric culture and, for the majority of roles we expect people to be in commuting distance of the office and come in for around 3 days per week. Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know! For details regarding our data processing activities, please refer to our Candidate Privacy Notice Protect Yourself from Job Scams: We've been made aware of fraudulent job offers circulating in Brainlabs' name. Your safety is our priority, so please stay vigilant. Brainlabs will never ask you to transfer money, pay for a job opportunity, or request sensitive information such as Social Security numbers, banking details, or passwords via email, WhatsApp, or unsecured channels. Our official hiring communications only come from verified email domains (@brainlabsdigital.com, @brainlabs.ai, @exverus.com, @jacknimble.com.au, @sparro.com.au) and trusted platforms including Greenhouse, Upwork, Yuno Juno, and Remote. If you receive a suspicious message claiming to be from Brainlabs, do not engage. Instead, forward it immediately to security@brainlabsdigital.com . We're committed to protecting our community and ensuring a safe candidate experience. Thank you for your vigilance.

Location: Montreal, Canada; United States ON-SITE IN MONTREAL IS PREFERRED; REMOTE OR HYBRID IS POSSIBLE FOR THE RIGHT CANDIDATE. Open for candidates in Canada as well as the US Role: A Satellite Database Engineer is responsible for designing, developing, and maintaining databases that support satellite integration, operations, telemetry processing, mission planning, and analytics. This role requires expertise in handling large-scale telemetry and command data, including Mission Information Base (MIB) formats, which are essential for defining telemetry and command dictionaries. Tasks and Techical Skills: Mission Information Base (MIB) Expertise: • Experience in handling, processing, and managing MIB format files for satellite telemetry and command definitions. • Understanding of MIB database structures for storing telemetry parameters, command definitions, and limits. • Ability to parse, validate, and integrate MIB files into satellite operations software. Telemetry & Command Data Handling: • Experience with real-time and historical telemetry data processing. • Knowledge of CCSDS (Consultative Committee for Space Data Systems) standards for telemetry and command data. • Familiarity with telemetry data encoding, compression, and error handling. Data Modeling & Architecture: • Strong knowledge of relational and non-relational database design for space systems. • Ability to optimize database performance for high-volume satellite telemetry and command data. Big Data & Analytics: • Experience handling large telemetry datasets from satellites and ground stations. Cloud & Infrastructure: • Experience with cloud-based database solutions (AWS RDS, Azure Cosmos DB, Google BigQuery). • Familiarity with containerized database deployment (Docker, Kubernetes). Programming & Scripting: • Proficiency in Python, SQL, and shell scripting for automation and data processing. • Experience with database APIs. Security & Compliance: • Knowledge of encryption, access control, and secure database best practices. Must haves Bachelor’s or Master’s Degree in Computer Science, Data Science, Aerospace Engineering, or a related field. 10+ years of relevant experience Experience working with MIB telemetry and command databases for satellite mission operations is highly preferred. Familiarity with satellite telemetry ground systems (e.g., mission control software, or flight software integration). Previous relevant experience in Satellite Database for LEO/MEO constellation for communication missions Complementary skills/knowledge that will be considered Understanding of the space environment, communication satellites, radio frequency (RF) equipment and the various solar cell & battery technologies Ability to lead and/or mentor junior members of the engineering team Problem-Solving & Analytical Thinking – Ability to troubleshoot and optimize MIB databases and telemetry processing systems. Collaboration & Communication – Work with mission planners, aerospace engineers, and ground control teams to integrate database solutions. Attention to Detail – Ensure data integrity, accuracy, and consistency across mission-critical satellite systems. Demonstrated capability to efficiently work with little to no supervision Strong written and verbal communications skills in English, knowledge of French will be considered favorably

Location: Algiers, Algeria 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. yassir.com About the Role Yassir is seeking a highly skilled and motivated Data Analyst, of junior / mid / senior level, to join our Data Analytics team and contribute with shaping the business’s decision making and product offering on Financial Services in making it more data and insights driven. As a Data Analyst (FinTech), you will play a crucial role in analyzing data, helping us prioritize, assess, develop financial product features for our millions of users across Africa. Your expertise in both data processing, robust statistical analysis, insights derivation, hypothesis formulation and data visualization 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 Data Analytics 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 provide top-quality Analytics and BI insights to the business, being a proactive partner to our stakeholders, and ultimately to build a mature Data Culture supported by widespread data fluency, 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 Analyze customer, transaction, merchant, and agent data to identify trends, opportunities, and performance drivers across Wallets, Payments, Bill Payments, Merchant Payments, P2P Transfers, and other Financial Services products. Partner with Product Managers, Operations, Risk, Finance, and Engineering teams to answer business questions through data and support product decision-making. Develop and maintain dashboards, reports, and KPI tracking frameworks to monitor customer growth, engagement, retention, transaction performance, and revenue metrics. Conduct deep-dive analyses on customer behavior, payment funnels, wallet activation, transaction success rates, merchant activity, and agent performance. Support product discovery and feature development by identifying customer pain points, behavioral patterns, and growth opportunities using data. Design, execute, and evaluate A/B tests, feature launches, promotional campaigns, and product experiments to measure impact and guide future improvements. Work closely with Data Science and Risk teams to support customer segmentation, fraud monitoring, credit risk analysis, and predictive modeling initiatives. Perform exploratory data analysis (EDA) to uncover actionable insights and support the development of data-driven product enhancements. Monitor data quality, identify anomalies, and collaborate with Data Engineering teams to improve tracking, instrumentation, and reporting accuracy. Communicate findings and recommendations clearly to both technical and non-technical stakeholders through presentations, reports, and dashboards. Key Requirements Essential 2–5 years of experience in Product Analytics, Business Analytics, Data Analytics, or a related analytical role. Strong SQL skills and practical experience working with large-scale customer and transaction datasets. Proficiency in Python for data analysis, statistical modeling, and data visualization. Experience working with digital products, preferably within Fintech, Payments, Wallets, Banking, Lending, or Financial Services. Solid understanding of statistics, hypothesis testing, experimentation, and data-driven decision-making. Experience building dashboards and reports using BI tools such as Looker Studio, Looker, Tableau, or Power BI. Ability to translate business questions into analytical approaches and communicate insights effectively to stakeholders. Familiarity with cloud-based data platforms, preferably Google Cloud Platform (GCP) and BigQuery. Strong problem-solving, analytical thinking, and attention to detail. Excellent written and verbal communication skills in English. Nice to have Experience working with Wallets, Bill Payments, Merchant Payments, P2P Transfers, Agent Networks, Lending, or Credit products. Familiarity with fraud analytics, risk monitoring, customer lifecycle analysis, or fintech growth metrics. Exposure to machine learning, customer segmentation, or predictive analytics use cases.

Location: Cairo, Egypt; Alexandria, Egypt Workplace: hybrid Yassir is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. Helping usher the continent into a digital economy era. We’re not just about serving people - we’re about creating a marketplace to bring people what they need while infusing social values. About the Role Yassir is seeking a highly skilled and motivated Data Analyst, of junior / mid / senior level, to join our Data Analytics team and contribute with shaping the business’s decision making and product offering on Financial Services in making it more data and insights driven. As a Data Analyst (FinTech), you will play a crucial role in analyzing data, helping us prioritize, assess, develop financial product features for our millions of users across Africa. Your expertise in both data processing, robust statistical analysis, insights derivation, hypothesis formulation and data visualization 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 Data Analytics 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 provide top-quality Analytics and BI insights to the business, being a proactive partner to our stakeholders, and ultimately to build a mature Data Culture supported by widespread data fluency, 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! Responsibilities Analyze customer, transaction, merchant, and agent data to identify trends, opportunities, and performance drivers across Wallets, Payments, Bill Payments, Merchant Payments, P2P Transfers, and other Financial Services products. Partner with Product Managers, Operations, Risk, Finance, and Engineering teams to answer business questions through data and support product decision-making. Develop and maintain dashboards, reports, and KPI tracking frameworks to monitor customer growth, engagement, retention, transaction performance, and revenue metrics. Conduct deep-dive analyses on customer behavior, payment funnels, wallet activation, transaction success rates, merchant activity, and agent performance. Support product discovery and feature development by identifying customer pain points, behavioral patterns, and growth opportunities using data. Design, execute, and evaluate A/B tests, feature launches, promotional campaigns, and product experiments to measure impact and guide future improvements. Work closely with Data Science and Risk teams to support customer segmentation, fraud monitoring, credit risk analysis, and predictive modeling initiatives. Perform exploratory data analysis (EDA) to uncover actionable insights and support the development of data-driven product enhancements. Monitor data quality, identify anomalies, and collaborate with Data Engineering teams to improve tracking, instrumentation, and reporting accuracy. Communicate findings and recommendations clearly to both technical and non-technical stakeholders through presentations, reports, and dashboards. Requirments Essential 2–5 years of experience in Product Analytics, Business Analytics, Data Analytics, or a related analytical role. Strong SQL skills and practical experience working with large-scale customer and transaction datasets. Proficiency in Python for data analysis, statistical modeling, and data visualization. Experience working with digital products, preferably within Fintech, Payments, Wallets, Banking, Lending, or Financial Services. Solid understanding of statistics, hypothesis testing, experimentation, and data-driven decision-making. Experience building dashboards and reports using BI tools such as Looker Studio, Looker, Tableau, or Power BI. Ability to translate business questions into analytical approaches and communicate insights effectively to stakeholders. Familiarity with cloud-based data platforms, preferably Google Cloud Platform (GCP) and BigQuery. Strong problem-solving, analytical thinking, and attention to detail. Excellent written and verbal communication skills in English. Nice to have Experience working with Wallets, Bill Payments, Merchant Payments, P2P Transfers, Agent Networks, Lending, or Credit products. Familiarity with fraud analytics, risk monitoring, customer lifecycle analysis, or fintech growth metrics. Exposure to machine learning, customer segmentation, or predictive analytics use cases. Join the ride! At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen. Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together. We look forward to receiving your application! Best of luck, Your Yassir TA Team

Location: Barcelona, Spain Workplace: hybrid About seQura seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR. Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5. About the role 🤓 We are looking for a Senior Analytics Engineer to own the analytics enablement layer across seQura's core business domains — building the trusted, well-governed data foundation that business, product, and data science teams rely on to make decisions and ship models. This role sits at the intersection of data modeling, business domain understanding, governance, and semantic precision. You will design and deliver production-grade dbt models, shape the semantic layer to be AI-ready, and set the quality bar for the analytics enablement team. You will work closely with business circle leads, Data Scientists, across Risk, Finance, Payments, and Collections, and the Platform and Data Engineering team. What challenges you'll be solving 🚀 Championing a single source of truth for core business metrics — unifying definitions, socializing, and governing the canonical KPIs used across seQura, so that whether a metric appears in a dashboard, a DS model, or an executive report, it means the same thing. Building domain data products that serve both operational reporting and ML feature needs, ensuring downstream teams can self-serve reliably. Designing, building, and shipping production-grade dbt models across multiple business domains — Payments, Debt Collection, Risk, and Finance — writing clean, well-tested, and well-documented SQL. Owning the governance layer: data contracts, column-level lineage, tests, and semantic definitions — not just shipping models, but making them trustworthy. Structuring the semantic layer to be machine-readable and AI-ready, supporting both self-serve BI and AI-powered use cases. Setting and upholding standards for testing, documentation, and data quality across the analytics engineering team. Collaborating closely with Data Scientists, circle leads, and the Platform team to understand domain logic deeply and translate it into precise, unambiguous data models. Making cross-domain architectural decisions with a systems mindset — thinking beyond individual models to how the full data layer fits together. About the Data team 🧩 Team mission To turn seQura's raw data into trusted, well-governed data products that power decision-making across the company. The team builds the foundations that enable Product, Finance, Risk, Payments, Data Science, and AI teams to work with reliable, consistent, and discoverable data, ensuring everyone speaks the same language when making decisions. What we own The dbt transformation layer across business domains The Single Source of Truth (SSOT) for key business metrics Semantic models that enable consistent reporting and analytics Data contracts and governance standards across domains Data lineage, documentation, and discoverability Data quality, testing, and monitoring to ensure trusted data products Team Structure The Analytics Engineering team consists of four Analytics Engineers working alongside a Data Governance Lead and reporting to the Head of Data. The team partners closely with business stakeholders across Risk, Finance, Payments, and Collections, while collaborating with Data Platform, Data Engineering, and Data Science teams to ensure data products are reliable, scalable, and easy to consume. How we work Product mindset: we treat datasets as products, with clear ownership, quality standards, and consumers. Strong focus on data governance, documentation, and discoverability. Collaboration with business stakeholders to translate operational concepts into trusted data models. Analytics Engineering sits at the intersection of business knowledge, software engineering, and data architecture. Continuous improvement through testing, observability, and reusable modeling patterns. What to expect in the next 90 days 🏁 Month 1: You'll immerse yourself in seQura's data ecosystem, becoming familiar with our dbt project, semantic models, and governance principles. You'll work closely with business stakeholders and fellow Analytics Engineers to understand your domain, existing data models, and opportunities to improve consistency and data quality. Month 2: You'll deliver your first production-ready dbt models for your assigned business domain, applying testing, documentation, and governance best practices. You'll begin contributing to the team's standards around data quality, maintainability, and semantic consistency. Month 3: You'll take ownership of a meaningful portion of the Single Source of Truth within your domain, enabling downstream teams to confidently self-serve reliable data. You'll also contribute to cross-domain initiatives, helping define shared semantic models, governance standards, and reusable data patterns across the organization. Tech stack & environment 🛠️ Our modern data platform is built on AWS, with dbt at the heart of our transformation layer and Redshift as our analytical data warehouse. Analytics Engineers work extensively with SQL and dbt to build trusted, reusable data models, while leveraging Git-based development workflows, automated testing, documentation, and data quality monitoring to ensure reliable data products. The team collaborates closely with Data Platform and Data Engineering, building on top of cloud-native infrastructure and contributing to a governed data ecosystem designed to support analytics, business intelligence, and AI use cases across seQura. What you’ll need 🤝 5+ years of experience as an Analytics Engineer, with a strong track record of building and delivering production-grade data models (mandatory). Genuine curiosity about the business domains you model — you want to understand what decisions are made using the data not just how the data looks Strong hands-on dbt experience: modeling, testing, data contracts, documentation — not just running dbt, but understanding how to design a reliable model layer (mandatory). Expert SQL on a modern cloud data warehouse (Redshift, BigQuery, Snowflake, or similar). Systems thinking: ability to make cross-domain architectural decisions, not just implement individual models. You see how the pieces fit together. Semantic precision: you write metric definitions and data documentation that are unambiguous to both humans and AI agents. Experience with Python for data tasks is a plus. Familiarity with data governance and lineage tooling (OpenMetadata or similar) is a plus. Fintech or financial services domain knowledge is a plus. English proficiency required. Spanish is a plus. What we offer 😎 We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible. One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge. In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need. 23 vacation days + 2 days of free disposal per year. Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee. Health insurance discounts with Sanitas and DKV. Flexible working hours. A personal budget for professional development. Office workshops and meet-ups to encourage community participation and career growth. Hybrid or remote work (up to 2 hours difference from GMT+2). Moreover, we have a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you. Which are the next steps? 🙌 Interview with People Team Hiring Manager interview Technical take-home assessment (async) Live Peer review of the assessment Meet the team We kindly ask that you submit your CV in English, as it is the official language of our community. We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all. Do you want to be part of the change? Join us!👇

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 THE MISSION The Foundry is ClickUp's internal AI innovation lab — embedded inside GTM Systems and accountable for turning AI capabilities into production-grade, internally deployed products that make every GTM function faster and smarter. We build the infrastructure that powers AI-first work across Sales, Marketing, Post-Sales, and Revenue Operations.   As the Senior Software Engineer on this team you will own the technical delivery of our MCP server platform, agent orchestration layer, and internal tooling — shipping production systems used daily by hundreds of ClickUp employees, and scaling your own throughput by treating AI tools as first-class engineering collaborators. WHAT YOU'LL OWN MCP SERVER PLATFORM   - Design, build, and operate Model Context Protocol servers that expose CRM, ticketing, analytics, and communication data to AI agents across the GTM stack - Implement Okta PKCE authentication flows and RBAC policy enforcement so agents access only the data they're authorized to touch - Maintain deployment infrastructure on AWS (Bedrock, Lambda, ECS, API Gateway) and contribute to GCP workloads where applicable - Own observability: structured logging, distributed tracing, latency SLOs, and on-call runbooks for every production server   AGENT ORCHESTRATION & AI-NATIVE PRODUCTS   - Build and maintain multi-step autonomous agents that execute end-to-end GTM workflows — lead qualification, deal room assembly, onboarding automation, support triage, and more - Architect prompt engineering frameworks, tool-call schemas, and agent evaluation harnesses that make AI behavior predictable and auditable - Integrate with LLM providers (Anthropic, OpenAI, AWS Bedrock AgentCore) and maintain version-pinned, cost-tracked model configurations - Deliver AI-powered internal applications (web apps, CLI tools, Slack integrations) that non-technical GTM stakeholders use without friction   GTM PLATFORM ENGINEERING   - Own full-stack feature delivery across TypeScript/Node.js backends and React/TypeScript frontends for internal tooling - Write Python automation scripts, ETL pipelines, and data transformation layers that feed GTM analytics and AI context - Collaborate with Systems Engineering and GTM Engineering teams on cross-cutting API standards, data contracts, and integration patterns - Conduct code reviews, establish engineering standards, and actively mentor junior engineers toward higher leverage   AI-NATIVE DEVELOPMENT PRACTICE   - Use AI coding assistants (Claude, Cursor, GitHub Copilot) as primary engineering accelerators — not supplements — to ship at a pace that punches above a single engineer's weight - Document AI usage patterns, prompt templates, and agentic workflows so the team's collective throughput compounds - Stay current on MCP protocol evolution, agent frameworks (LangGraph, CrewAI, custom), and emerging LLM capabilities; bring back what matters REQUIRED QUALIFICATIONS - 5+ years of professional software engineering experience with production systems - Expert-level TypeScript and Node.js — idiomatic, typed, testable server-side code - Strong Python — automation scripts, data pipelines, and scripting for AI/ML tooling - Meaningful AWS deployment experience: Lambda, Bedrock, ECS/Fargate, API Gateway, IAM, Secrets Manager, CloudWatch - Demonstrated experience integrating with LLM APIs (OpenAI, Anthropic, AWS Bedrock, or equivalent) and shipping AI-powered features to real users - Solid foundation in REST API design, OAuth 2.0 / OIDC authentication, and secure credential management - Experience with CI/CD pipelines, infrastructure-as-code (Terraform, CDK, or SAM), and cloud cost awareness - Clear written communication: design docs, ADRs, and runbooks that others actually read - Track record of using AI tools (LLM assistants, copilots, agentic workflows) as a genuine productivity multiplier — not a gimmick STRONGLY PREFERRED - Hands-on experience with MCP (Model Context Protocol) — building servers, defining tool schemas, or operating multi-server agent environments - GCP experience (Cloud Run, BigQuery, Cloud Functions) to complement AWS work - Salesforce, HubSpot, or other CRM API integration work — understanding GTM data models is a significant advantage - React or Next.js front-end capability to ship internal dashboards and tooling without hand-offs - Familiarity with agent orchestration frameworks: LangGraph, AutoGen, CrewAI, or custom orchestration patterns - Experience in a GTM Systems, RevOps, or Sales Engineering context - Okta / identity provider integration work (PKCE flows, SCIM, token management) HOW WE OPERATE The Foundry runs on three principles that every team member is expected to embody:   - Ownership — You own the full lifecycle of what you build: design, delivery, observability, and iteration. We don't have a separate ops hand-off. - Velocity — We ship to production in days, not quarters. AI tools are how we maintain that pace without sacrificing quality. - Atomicity — Every deliverable is a discrete, composable unit — an MCP server, an agent, an API. Nothing we build requires everything else to work. WHO THRIVES HERE This role is a strong fit if you are genuinely excited to work at the intersection of AI infrastructure and internal product — not just as a user of AI, but as someone building the layer that makes AI useful for an entire go-to-market organization. You are comfortable with ambiguity, you default to shipping, and you see every piece of internal tooling as a product that deserves operational discipline.   This role is not a fit if you need heavily defined requirements before starting work, prefer long planning cycles to iterative delivery, or view AI tools as optional extras rather than core to how you operate. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Warsaw, Mazowieckie, Poland X-FLOW is a mobile game development company established in 2018. We gained recognition after the release of Happy Color , the most popular digital coloring book and one of the most successful ad-driven mobile apps in the world. We're looking for a Senior Java Engineer to join our team and help us build an analytical system that processes petabytes of data. We expect candidates to have a deep understanding of the tools they use. If you can assess the complex problem, design and deliver a solution with attention to balance between performance and complexity — we might be looking for you. Technology stack: Gradle, Java 21+, Spring, k8s, RabbitMQ, Service-oriented infrastructure, AWS and GCP cloud platforms. Requirements: Strong understanding of Java Core, Memory Model, MultiThreading. Strong understanding of Spring Core, Data, MVC. Proficiency in SQL, solid understanding of Relational Databases. Solid understanding of software development principles. Solid understanding of data storage design principles. Nice to have: Experience writing and optimizing BigQuery queries. Experience with Spring Reactive stack, Spring Batch and AMPQ. Experience with Apache Camel. Experience with Graph DB like Neo4j. Responsibilities: You'll be involved across the full lifecycle of tasks — from solution design through implementation, debugging, and documentation. What We Offer: Competitive salary and benefits package. Opportunity to work with a talented and passionate team in a creative and dynamic environment. Flexible working hours and remote/office work options. Career growth and professional development opportunities. A fun and inclusive company culture that celebrates diversity and creativity. Join us and let’s create great content together! When you apply for this role, we process your personal data in accordance with our Candidate Privacy Notice ( https://xflowgames.com/candidate-privacy-notice ).

Location: New York 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! Role Overview: As a Senior Research Engineer in our Safety team, you will play a key role in helping develop safer, more secure, and more reliable models. Your primary focus will be on building tools to enable easy data synthesis, analysis, and management, for complex combinations of real and synthetic data that is used in both model training and evaluation. You will own the cohesive vision of these tooling repositories. You will work closely with a team of research scientists and engineers to create tooling that enables tighter experimentation cycles, better data coverage of the real world, and more scientific rigour. You will have a lot of autonomy and need to be opinionated about what areas of the codebase need elegance and standards, and where that would be overengineering. You will be given high level experimental problems that need to be solved with efficient pipelines, and design and implement the solutions. Your data analysis will collaboratively feed into modelling decisions and experimentation. This role combines expertise in software engineering, statistics, and data science. If any of these topics sound interesting to you, we encourage you to apply. You will be working on the Modelling Safety and Trust team, so interest in these areas is a plus, but is not at all required. Please Note: We have offices in London, Edinburgh, Paris, Toronto, Montreal and New York, but we also embrace being remote-friendly! This role has timezone restrictions (UK, Europe, or ET) but no location restrictions. Key Responsibilities: - Design and implement robust data pipeline tooling that enables frequent, low-friction data generation and annotation - Create cohesive data infrastructure that supports continuous parallel operation with model experimentation - Establish standardized processes for data validation, analysis, and improvement of data both training and evaluation - Collaborate with the ML modeling team to align data capabilities with experimental needs - Maintain opinionated, well-documented solutions that become team standards - Develop systematic analysis frameworks to identify incoming data sources and benchmark coverage gaps Qualifications: - Extremely strong software engineering skills. - Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance. - Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch) and Big Data Analytics (e.g. BigQuery, SQL) - Demonstrated ability to own complex technical projects from conception to deployment - Opinionated approach to technical architecture with ability to make principled decisions - Understanding of ML data requirements and the intersection of data engineering with modeling workflows Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.   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.

Задачи: - Управление AI-продуктами от идеи до вывода в прод. - Участие в проработке AI-стратегии кластера (Roadmap, KPI, приоритизация инициатив). - Проработка архитектуры AI-решений. - Координация команд: Data Scientists, ML-инженеры, Data Engineers. - Решение проблем масштабирования моделей и качества данных. - Запуск PoC и MVP AI-продуктов. - Оптимизация инференса моделей (скорость, стоимость, точность). - Дообучение open-source моделей под задачи бизнеса. Требования: - Образование: высшее. - Опыт работы: от 5 лет на релевантной позиции. - Опыт в предметной области AI. - Опыт коммерческой разработки, развитый технический кругозор. - Навыки презентации для C-level с ценностными тезисами. - Agile/Scrum для ML-проектов. - Языки: Python, SQL. - ML/DS: scikit-learn, TensorFlow/PyTorch, Hugging Face, LangChain. - MLOps: MLflow, Kubeflow, Airflow, Docker/Kubernetes. - Данные: Spark, DWH (BigQuery, Snowflake), векторные БД (FAISS, Pinecone). - Опыт управления коллективом: обязателен. Требования к личным качествам: - Лидерство, выстраивание коммуникаций, синхронизация работ, критическое мышление, предпринимательский mindset, адаптивность. Знание стека: - LangChain, Kafka, K8s, LLM-модели, NLP-модели — embedding, NER, classification.

Location: Remote, United Kingdom, EMEA 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 is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a talented German speaking Senior Sales Engineer to join our Enterprise sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and ensuring a successful proof-of value throughout the sales cycle. This is a full-time remote position based out of United Kingdom. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, New Relic, Linux, Windows, Python, Java What You’ll Do Work with Enterprise customers to understand their business, their use cases, and their data replication requirements Develop and deliver technical presentations to Enterprise audiences Ensure the technical win by running an organized proof-of-value process Work closely with multiple cross-fuctional organizations driving change and improvements to Fivetran as a whole. Work closely with multiple Sales representatives, while maintaining a high level of customer focus and technical excellence Stay up-to-date on the latest technologies and trends in our industry Assist team members in advanced technical or business roadblocks Skills We’re Looking For Native/Professional Proficiency in German 5+ years in data replication, sales engineering, or related technical field Strong technical background covering database replication, cloud infrastructure, and data replication technologies with some form of hands on experience Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders Strong problem-solving and analytical skills Experience with Oracle, SQL Server, Postgres, MySQL, and NoSQL databases Hands on experience with other data replication or ETL tools Experience with self-hosted software applications and supporting infrastructure Hands on networking experience both in the cloud and on-premise Bonus Skills​ Experience developing partner relationships Specialized expertise in security posture Experience with self-hosted and SaaS software applications Hands on experience with DBT Docker/Podman/Kubernetes experience #LI-LA1 #LI-REMOTE 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. Pay Range €101.516,63 — €126.896 EUR 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: Remote, Ireland, EMEA 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 is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a talented German speaking Senior Sales Engineer to join our Enterprise sales team. As an Enterprise Sales Engineer, you will work closely with our sales team to understand our Enterprise customers’ complex business needs and showcase how Fivetran’s data replication solutions can help them achieve their desired business outcomes. You will be responsible for providing technical expertise, identifying technical requirements, and ensuring a successful proof-of value throughout the sales cycle. This is a full-time remote position based out of Ireland. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, New Relic, Linux, Windows, Python, Java What You’ll Do Work with Enterprise customers to understand their business, their use cases, and their data replication requirements Develop and deliver technical presentations to Enterprise audiences Ensure the technical win by running an organized proof-of-value process Work closely with multiple cross-fuctional organizations driving change and improvements to Fivetran as a whole. Work closely with multiple Sales representatives, while maintaining a high level of customer focus and technical excellence Stay up-to-date on the latest technologies and trends in our industry Assist team members in advanced technical or business roadblocks Skills We’re Looking For Native/Professional Proficiency in German 5+ years in data replication, sales engineering, or related technical field Strong technical background covering database replication, cloud infrastructure, and data replication technologies with some form of hands on experience Experience with modern data analytics technologies, including cloud data warehouses, transformation tooling, data catalogs, and BI tools Excellent communication and presentation skills with a keen ability to explain complex technical concepts to both technical and non-technical stakeholders Strong problem-solving and analytical skills Experience with Oracle, SQL Server, Postgres, MySQL, and NoSQL databases Hands on experience with other data replication or ETL tools Experience with self-hosted software applications and supporting infrastructure Hands on networking experience both in the cloud and on-premise Bonus Skills​ Experience developing partner relationships Specialized expertise in security posture Experience with self-hosted and SaaS software applications Hands on experience with DBT Docker/Podman/Kubernetes experience #LI-LA1 #LI-REMOTE 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. Pay Range €101.516,63 — €126.896 EUR 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.

Задачи: — построение масштабируемых конвейеров данных и инфраструктуры в облачной среде GCP. Требования: — опыт работы Data Engineer от 3 лет; — уверенное владение GCP (BigQuery, Cloud Storage, Dataform); — продвинутые навыки Python и Apache Airflow; — уровень английского B2 и выше. Условия: — долгосрочный контракт с QIC; — полный рабочий день, удалённо, график 5 дней в неделю, с воскресенья по четверг; — отпуск по календарю праздников Катара, 20 рабочих дней отпуска и 10 дней больничных; — оценка эффективности два раза в год; — испытательный срок 3 месяца; — поддержка цифровых кочевников. Преимущества и бонусы: — индивидуальные языковые занятия; — страхование RemoteHealth Premium с покрытием до $5000 в год; — образовательный бюджет; — консультации по налогам с менеджером; — клуб бега QIC в Strava; — корпоративные скидки в программе Privilege, включая Qatar Airways.

Location: Berlin Workplace: OnSite ABOUT PEEC AI AI search is changing how brands are discovered and chosen. People now ask ChatGPT, Gemini, Claude and Google’s AI answers what they used to search for, and AI assistants increasingly shape the journey from discovery to purchase. Winning customers now means winning over the AI systems that influence their decisions. Peec AI is an AI search platform that helps marketing teams understand and improve how their brands are discovered, represented, and recommended. We show them where they stand, what’s shaping it, and where to act. Since launching in January 2025, Peec AI has passed $20M ARR and 4,000 paying customers. We’re a Series A company backed by 20VC and Singular, with 100+ people across our Berlin HQ and our New York office. WHAT YOU’LL DO - Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search - Develop algorithms that extract actionable insights from AI search behavior, creating data-driven recommendations that help brands increase their AI Search visibility - Own the full model lifecycle from experimentation to production deployment, working closely with engineering to integrate ML solutions into our systems - Design and implement data pipelines to ingest, process, and analyze large volumes of data WHAT WE’RE LOOKING FOR - Proven backend development skills in Python with experience building APIs, data pipelines, or ML infrastructure, and familiarity with tools like FastAPI, Docker, and cloud platforms (preferably GCP) - Deep curiosity about how LLMs work, with the ability to reverse-engineer AI search behavior and translate patterns into actionable product features - Track record of taking projects from research to production in a fast-moving startup environment, with strong problem-solving skills and comfort working with ambiguous, evolving problems - Excellent communication skills with the ability to explain complex technical concepts to customers and stakeholders OUR DATA SCIENCE STACK - Languages: Python, SQL - Libraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX - Backend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQuery - AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc. BONUS POINTS - Contributions to open-source projects - Deployed side/hobby projects that we can check out - Presented research papers at top ML or AI conferences - Having started a company before or worked at a high-growth startup - Fluency in Typescript WHAT WE OFFER - Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups - Regular team events and off-sites - Aggressive equity compensation package - Paid Dinner & Uber home when working late - The most beautiful office space and work environment in Berlin

Location: Cardiff, London or Remote (UK) 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | 💰 £138,000 to £176,000 + Incentive Awards tied to your performance + benefits | Hear from the team ✨ About the role Borrowing is one of Monzo’s most important growth engines. We’ve built strong scale in the UK, and the next phase is even more ambitious: grow in the UK, expand into new customer segments, and build the underwriting capability needed to scale into Europe. We’re looking for a senior ML leader to help shape that next phase. You’ll lead a high-calibre team of ML scientists and help define Borrowing’s ML roadmap across UK growth, new customer segments, and EU expansion. You’ll work across underwriting, pricing, limits, and lifecycle decisioning — improving today’s models while helping build the next generation of capability for Monzo. This role combines near-term commercial impact with long-term strategic advantage : improving performance across our range of products unlocking new data and faster model development helping Monzo build underwriting that scales into new markets shaping how advanced ML and AI can create real value in Borrowing You’ll partner closely with leaders across Credit Strategy, Product, Engineering, Model Validation, Data, and Platform, and influence decisions that shape both business performance and the long-term architecture of credit decisioning at Monzo. What you’ll own Borrowing ML roadmaps across UK optimisation, new customer segments, and EU expansion Faster model improvement through new data and feature engineering How Monzo uses Open Banking, transaction intelligence, and external data in credit decisioning More portable underwriting capabilities across products, customer segments, and markets Hiring, leading, and developing a high-performing ML team Raising the bar on model quality, governance, tooling, and speed of iteration What you’ll be working on Examples of the challenges you could help lead: Improving underwriting models across Loans, Flex, and Overdrafts Expand the data we use in our models Building better feature engineering and model shipping capability Improving transaction intelligence for credit use cases Developing underwriting capabilities for new customer segments and EU markets Shaping Monzo’s approach to advanced ML and AI Our technology stack We rely heavily on the following tools and technologies, although we do not expect applicants to have prior experience of all of them: Google Cloud Platform BigQuery SQL and dbt Python and the PyData stack Google AI Platform AWS Python for ML services Go for backend services AI tooling for productivity Google Workspace including Gemini ChatGPT Enterprise Claude Code You should apply if You want to shape the next phase of credit decisioning at one of Europe’s most ambitious fintechs You enjoy combining strategic leadership with strong technical judgment You’re excited by the intersection of underwriting, data, product, and platform capability You like building teams as much as building models You care about real customer and business impact You must have Credit and machine learning Strong knowledge of machine learning, statistics, and decisioning systems Deep experience in credit risk and lending Experience building, deploying, and iterating credit models in production Experience pushing the innovation frontiers of the credit industry Leadership and delivery Experience leading and developing senior ML scientists Strong cross-functional leadership with Product, Credit Strategy, Engineering, and Validation Track record of turning strategy into practical delivery in a regulated environment It would be great if you also have Experience across more than one market Experience with advanced ML methods and AI on structured financial data The interview process 30 min Recruiter Call 45 min Initial Call 60 min ML technical interview 60 min People Leadership interview 60 min Product / Credit ML interview All interviews will be conducted through Google Meet. What’s in it for you 💰 £138,000 to £176,000 ➕ plus stock options & benefits ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office with a hybrid working pattern, or fully remote within the UK with occasional travel to London. 🏡 We’ll set you up to work from home, including support for remote setups. ⏰ We offer flexible working hours and trust you to work in a way that lets you do your best work. 📚 Learning budget for books, training courses and conferences ➕ And much more — see our full list of benefits here #LI-DC2  #LI-Remote Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Location: Singapore Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Brief Job Description: Owns the end-to-end data analytics lifecycle, from defining measurement frameworks and surfacing insights to supporting product and model decisions. The role works closely with engineering, product, and ML teams, builds and maintains data pipelines and dashboards, and helps shape the analytical foundation of the AI software development project. Requires 3+ years of data analytics experience, with a track record of influencing product outcomes in a fast-moving technical environment. Mission: Turn raw product, behavioural, and model data into clear, trustworthy insight that helps the team make better decisions, faster. Education: Bachelor’s degree or higher in Statistics, Computer Science, Engineering, Economics, or a related quantitative field — or equivalent practical experience. Responsibilities: Define measurement frameworks and metrics with product and engineering teams. Build and maintain data pipelines, dashboards, and reports. Analyse product, behavioural, and model data to surface actionable insights. Support experiment design and A/B test analysis. Ensure data quality and consistency across sources. Qualifications & Experience: 3+ years’ experience in data analytics or a similar quantitative role. Strong SQL and proficiency in Python or R for analysis. Experience building dashboards (e.g. Tableau, Power BI, Looker, or similar). Solid grasp of statistics and experiment design. Clear communication of findings to technical and non-technical audiences. Nice to Have (Not Obligatory): Experience with cloud data warehouses (BigQuery, Snowflake, Redshift). Familiarity with ML workflows and model evaluation metrics. Familiarity with GitLab for versioning analysis code and pipelines. Exposure to EdTech or AI products. What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Cardiff, London or Remote (UK) 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London or Remote (UK)  | 💰 £79,000 - £93,000 + Incentive Awards tied to your performance + Benefits 🌟 About the team: Our Borrowing (lending) business is growing rapidly across both existing products and with the planned launch of new initiatives. As our lending portfolio grows, our second line of defence Credit Model Validation team is growing with it - and we’re looking for a Credit Model Validation Manager to join us! Our Credit Model Validation team is crucial in providing independent oversight and challenge to our model development teams in the first line of defence to help Monzo grow safely and ensure that the models we use deliver good outcomes for our customers. We’re looking for someone (maybe you?!) to join our validation squad and provide expert independent validation and oversight across our suite of credit models, covering critical business disciplines such as credit strategy and impairment. You’ll have a particular focus on models used for customer-level decisioning and defining our credit strategies - such as underwriting scorecards, origination PD models and Net Present Value (NPV) / unit economics models - across all our lending products. Strong data and analytical skills are a must, as is deep expertise in credit risk modelling. You’ll have hands-on experience in either model validation or model development within a financial services environment, including practical experience using Python to develop, validate or analyse machine learning and statistical models. . In-depth knowledge of credit decisioning models would be a strong plus. 🔑 You’ll play a key role by… Leading hands-on independent validation of models used for credit decisioning within our Borrowing strategies - covering a range of machine learning, decision science and NPV models. You will be ensuring that models are fit for purpose, appropriately governed, explainable and performing as expected Supporting oversight and validation of broader credit risk models, including IFRS9, stress testing and economic response models Developing deep understanding of Monzo’s credit models, and using this to provide impactful input and challenge to model developers to improve our modelling capabilities Reviewing ongoing model performance monitoring to ensure our lending models perform within our risk thresholds, and providing support to our first line of defence teams when action is required Performing statistical analyses to independently assess model performance, including developing challenger models where appropriate to test model assumptions and strengthen validation conclusions Improving our Model Risk Framework, including overseeing our policies, standards and procedures to help embed best practice across the business. This means making sure we follow up-to-date regulatory guidelines, and adapt our processes to make sure they remain relevant as modelling techniques evolve Writing clear and impactful model validation reports, and presenting the findings and actions in relevant committees Partnering with colleagues in the first line of defence credit strategy and modelling teams - and wider risk teams across Monzo - to support the embedding of our model risk framework and establishing consistent validation standards across the organisation Embracing new and innovative technology, including leading the adoption of AI tools to enhance our model validation approach 🤩 We’d love to hear from you if… Have a strong background and practical experience in credit model development and/or validation - in particular with exposure to machine learning or statistical models used in credit decisioning, such as decision science scorecards, origination / underwriting PD models, and NPV / unit economics modelling Are data driven, with strong analytical skills and deep understanding of statistical techniques for credit and model risk. Being able to get hands on with data is critical - so strong SQL and Python skills are essential, and experience with data visualisation tools such as Tableau, Looker or similar is a plus! Understand how models are used in real-time decisioning and lending strategies, and how to balance commercial and risk outcomes Have strong written and verbal communication skills, and are able to articulate problems and solutions using clear and simple language. This is particularly important for breaking down complex issues and priorities to non-experts Have a track record of building and maintaining trusting relationships with stakeholders at all levels, and can provide effective and respectful challenge Are impact-driven, and proactive in identifying issues and opportunities to improve outcomes for both our customers and our business Are passionate about technology, and what we’re doing here at Monzo excites you! Our technology stack We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics infrastructure dbt and BigQuery SQL for our data modelling and warehousing Python for data science and machine learning Go to write our application code AWS for most of our backend infrastructure The interview process: Our interview process usually involves up to four main stages via Google Hangouts: An initial call with our recruiter A call with our Senior Model Validation Manager, the hiring manager for the role A role-specific call with colleagues from our credit modelling teams. We’ll share a short case study in advance, but you won’t need to submit a written response; we’ll use it to guide the discussion during the interview. A behavioural interview 🙌 What’s in it for you 💰 £79,000 - £93,000 + Incentive Awards tied to your performance benefits. 📍 This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 📚 £1,000 learning budget each year to use on books, training courses and conferences. 🏡 We will set you up to work from home; all employees are given MacBooks and for fully remote workers we will provide extra support for your work-from-home setup. ➕ Plus lots more! Read our full list of benefits . We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here . We’ll close this role once we have enough applications for the next stage, so please apply as soon as you can - we don’t want you to miss out! LinkedIn Tags: #LI-TK1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Location: London; New York The Role We’re looking for a hands-on Staff Analytics Engineer to own the delivery of first-class data systems at Taptap Send. This is a senior technical IC role: you’ll design, build and maintain the dbt modelling layer that all teams — from Finance to Product to Markets — rely on to make decisions. You’ll set the technical bar for Analytics Engineering at TTS. That means owning our thorniest modelling problems, ensuring that trusted, self-serve data is default across the company. If you live and breathe dbt and want to apply that craft to real problems in a rapidly scaling cross-border payments context then this is the role for you. You’ll report to the Head of Data, partnering closely with our COO, Engineering, Finance, Treasury, and Markets teams, and help shape how the broader data discipline scales. The role is full-time – we’re open to individuals in one of the following hubs: London, Dubai or NYC. Key responsibilities - Own dbt transformation. Design and build the mission-critical models, and the standards, tests and docs that keep them reliable and performant at scale - Pre-empt problems. Produce the dashboards, alerts and tools that surface the issues before they become incidents - Ensure self-serve data. Build the knowledge layer, docs and quality checks, so others can drive their own analysis - Use AI effectively. Use AI tools and agents across the modelling lifecycle — from accelerating dbt development to improving data quality — and help the rest of the team do the same - Tackle meaty domain problems e.g. via high-priority special data projects - Champion Data. Peer-review code, share best practice at weekly meetups, mentor the team, and raise the bar for data best practice at the company Required - 7+ years in a data role (Analytics Eng and/or Data Science) - Strong SQL skills, and comfortable working with large, complex datasets in dbt - Strong communication and stakeholder management skills - Hands-on experience with cloud tech (e.g. AWS, GCP or Azure) and a modern cloud warehouse (e.g. Redshift, Snowflake, BigQuery) - Fluency with modern BI tools (e.g. Looker, Mode etc.) and what it takes to enable real self-serve - Experience with Python and/or R - Detail-oriented and pragmatic, with a ‘no task too small’ attitude - Right to work in one of advertised hubs (UK/US/UAE) Nice-to-have - Experience in a high-pace context – e.g. startup or scale-up - Experience leading cross-functional projects with Finance, Engineering or Product About Us   We’re building the world’s leading cross-border fintech for emerging markets - empowering families, fuelling local economies, and changing how millions access financial services.   Since our launch in 2019, we have transformed how money moves across borders with our operations spanning 6 out of 7 continents and covering both the busiest and most underserved (remittance) corridors. We tapped into a massive shift - from banks to phones - bringing digital finance to places where traditional systems never reached. The next stage of growth will fuel a network of services and products especially designed to make money more accessible to diaspora communities including local cards, and additional savings and payments features.   We’re growing fast, backed by world-class investors, and scaling a product that blends real world impact with cutting edge fintech innovation.   Here’s a little more: - Founded by Harvard grads and 3-time founders who previously built Segovia (acquired) and GiveDirectly (>$300M revenue, fastest-growing NGO in the world) - Backed by top investors including Spark Capital, Canaan, Reid Hoffman, Breyer Capital, Unbound, Wamda, and more - Built by global top performers from Bain, Google, McKinsey, Uber, Checkout, Bolt, and beyond - we move fast, stay humble, and care deeply about our mission - Truly global team - 250+ people, 50+ nationalities, 50+ languages - Guided by our values - ownership, impact, humility, and heart - in deed, not just word   TAPTAP VALUES https://www.taptapsend.com/our-values Impact first Team next Accept reality Propose solutions Win with grit Be proactively candid, with yourself and others Love the particular Own it Create positive energy Maybe, even have fun   Taptap Send is an equal opportunity employer dedicated to building an inclusive and diverse workforce. All employment decisions are decided on the basis of qualifications, experience and business need. We strongly encourage applications who are members of underrepresented communities to apply. If you require reasonable adjustments to be made during the recruitment process, please do not hesitate to let us know. Any information you provide us in this respect will only be used to accommodate your requirements. Note: we recognize imposter syndrome is real - any candidate that does not perfectly fit every characteristic of this role is still strongly encouraged to apply.

Location: Dhahran, Saudi Arabia Job Summary We are seeking an experienced Power BI Developer with 5–6 years of experience in designing and delivering enterprise-grade business intelligence solutions. The ideal candidate should have strong expertise in Power BI, DAX, Power Query, SQL, BigQuery, data modeling, and Row-Level Security (RLS) . The candidate will be responsible for developing interactive dashboards and analytical solutions that support business decision-making, with a focus on KPI reporting, inventory analytics, and executive dashboards. Key Responsibilities Design, develop, and maintain interactive and visually compelling Power BI dashboards and reports . Build and optimize KPI dashboards , inventory analytics solutions, and executive reporting dashboards. Develop complex calculations and business logic using DAX . Use Power Query to perform data extraction, transformation, and preparation activities. Design and implement scalable and efficient data models to support reporting and analytics requirements. Develop and optimize SQL queries and integrate data from BigQuery and other enterprise data sources. Implement and manage Row-Level Security (RLS) to ensure secure access to data. Collaborate with business stakeholders to gather requirements and translate them into analytical solutions. Monitor, troubleshoot, and optimize report performance and data refresh processes. Ensure data accuracy, consistency, and adherence to data governance standards. Support report deployment, maintenance, and enhancements across development and production environments. Provide documentation, user training, and ongoing support for BI solutions. Requirements Technical Requirements Must-Have Skills 5–6 years of experience in Business Intelligence or Power BI development. Strong hands-on experience with: Power BI DAX Power Query SQL Google BigQuery Data Modeling Row-Level Security (RLS) Experience in developing enterprise-level dashboards and reporting solutions. Strong understanding of data warehousing concepts and BI best practices. Experience in data integration, transformation, and performance optimization. Proficiency with version control and collaborative development practices. Good-to-Have Skills Experience with Paginated Reports in Power BI Report Builder. Experience in Power BI Service administration , including workspace management, gateways, and deployment pipelines. Knowledge of data governance , data quality, and security practices. Experience integrating Python or R within Power BI for advanced analytics and visualizations. Familiarity with Azure DevOps for source control and release management. Preferred Qualifications Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Experience working with enterprise-scale analytics and reporting platforms.