Вакансии

Location: Valencia Workplace: OnSite ROLE HIGHLIGHTS: - Engineering Opportunities - HAPS - Location: Valencia - Department: HAPS - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) WHY WE'RE OPENING THIS APPLICATION We're growing our HAPS team in Valencia: the people building ICEYE's stratospheric electric aircraft and getting it safely into the sky. The program covers the aircraft itself along with the ground infrastructure and flight test campaigns that support it. It's early-stage enough that the people who join now will shape how it gets designed and operated for years to come. This posting isn't tied to one fixed opening. We're building a pool of strong engineers so we can move fast as specific roles open, and we'll reach out directly about where you'd fit. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. APPLICATION PROCESS Since this is an open application rather than a posting for one specific role, here's what happens after you apply: Our recruiting team reviews your background against current and upcoming openings on this program If there's a fit, we'll reach out for an initial conversation about where you'd land From there, you'll follow the standard process for that specific role: hiring manager interview, technical interview (often including a technical challenge), hiring team interview, and an offer decision WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Valencia Workplace: OnSite ROLE HIGHLIGHTS: - Engineering Opportunities - Location: Valencia - Department: Space Systems - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) WHY WE'RE OPENING THIS APPLICATION We're growing a new engineering effort in Valencia that sits alongside our proven SAR satellite business: an advanced satellite capability, built from the ground up. It's early enough that your input on how the team works, and what it builds, will matter for years to come, backed by a company that already has satellites in orbit and customers using them. This posting isn't tied to one fixed opening. We're building a pool of strong engineers so we can move fast as specific roles open, and we'll reach out directly about where you'd fit. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. APPLICATION PROCESS Since this is an open application rather than a posting for one specific role, here's what happens after you apply: Our recruiting team reviews your background against current and upcoming openings on this program If there's a fit, we'll reach out for an initial conversation about where you'd land From there, you'll follow the standard process for that specific role: hiring manager interview, technical interview (often including a technical challenge), hiring team interview, and an offer decision WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role: We’re looking for an FP&A Manager, Product to join our Finance team. You’ll be the financial lead for our Engineering, Product, and Design (EPD) organizations—owning OpEx and headcount planning while building scalable systems that improve visibility and decision-making. You’ll partner cross-functionally with Engineering leadership, People, and Strategic Finance to ensure investments are intentional, efficient, and aligned with long-term company strategy. What you'll do: Own the Product investment envelope – Manage OpEx and headcount budgets across EPD. Ensure investments align with company strategy while maintaining disciplined spend and margin targets. Drive rigorous workforce planning across technical and corporate teams – Build bottom-up headcount models by function and level. Partner with Engineering leaders to sequence hiring against roadmap needs, compliance requirements, and operational scale. Model infrastructure and internal systems economics – Develop clear forecasting models for cloud hosting, AI/compute, internal tooling, SaaS applications, and enterprise systems. Identify optimization opportunities across both product infrastructure and corporate tech stack. Translate roadmap and corporate priorities into financial tradeoffs – Evaluate build vs. buy decisions, capitalizable vs. expensed R&D, and vendor investments across EPD. Provide clear recommendations grounded in ROI and long-term cost structure impact. Elevate budget vs. actuals rigor across the organization – Lead monthly BvA reviews for EPD. Automate reporting, improve accrual accuracy, and surface actionable insights—not just variance explanations. Design scalable financial controls without slowing teams down – Implement approval workflows for headcount, vendor spend, and enterprise tooling that are disciplined, fast, and transparent. Use automation and AI to reduce manual review and eliminate bottlenecks. What you need: Proven partner to Engineering leaders – You’ve supported technical teams and corporate functions, understanding how product velocity and operational infrastructure translate into financial outcomes. Fluent in infrastructure and SaaS cost drivers – You understand cloud economics, AI/compute scaling, enterprise tooling, and how architecture and vendor decisions impact margins. Strong operator in workforce planning – You’ve managed complex headcount models across multiple departments, aligning hiring pace with financial guardrails. Advanced financial modeler – You build scenario-driven models with clear assumptions and sensitivity analysis that stand up to executive scrutiny. Precision-focused and systems-oriented – You eliminate blind spots in forecasting, improve accrual accuracy, and build processes that scale without creating bureaucracy. Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $180,000.00 - $220,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Philippines 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. 🚀 We’re looking for a Technical Implementation Account Manager (TAM) to support our customers as a trusted partner and problem-solver, blending strong relationship management with a growing understanding of ClickUp’s platform and capabilities. This role sits at the intersection of customer success, solution strategy, and technical enablement, contributing to long-term growth, adoption, and measurable business outcomes. This role operates in an AI-native environment, and we expect TAMs at this level to use AI tools as a daily multiplier across account preparation, workflow analysis, solution design, follow-through, and customer enablement.   TAMs at this level manage a defined book of business and own day-to-day execution for their accounts, while working closely with more senior TAMs and cross-functional partners on complex initiatives. You’ll use established frameworks, playbooks, and templates to guide onboarding and adoption, monitor account health, and help ensure stakeholders see continuous value throughout their lifecycle. At the L04 level, success means not just understanding AI-enabled features, but showing sound judgment in when and how to use AI to improve execution quality, speed, and customer outcomes.   Technical Account Managers are responsible for delivering measurable value and driving meaningful business outcomes across their customer portfolio by focusing on: - Customer Enablement & Onboarding: Supporting customers through onboarding and implementation for assigned customers, following established discovery frameworks and implementation plans. - Account Health & Engagement: Monitoring adoption and account health within your book, executing standard plays to drive engagement, and escalating risks appropriately. - Process Optimization & Solution Design: Collaborating with customers to understand key workflows and configure ClickUp solutions using established best practices, templates, and guidance from senior TAMs. - Innovation Adoption & Workflow Automation: Guiding customers in adopting relevant features, including AI and automation, primarily by implementing standard patterns and documented workflows to improve efficiency and outcomes. - AI-Native Execution: Using AI in your own day-to-day workflow to synthesize discovery, accelerate account preparation, improve documentation quality, draft clearer recommendations, and increase the consistency and speed of customer follow-through while maintaining strong judgment and accuracy. CORE RESPONSIBILITIES: New Customer Onboarding - Support end-to-end onboarding and implementation of ClickUp for assigned customers using established discovery frameworks, templates, and project plans. - Translate functional and technical requirements into ClickUp solutions for standard use cases under the guidance of more senior TAMs when needed. - Guide customers through setup, integrations, and change management fundamentals, escalating complex scenarios appropriately. - Use AI-assisted workflows where appropriate to prepare for discovery, summarize implementation decisions, and improve the speed and quality of customer follow-up. Account Health Management - Monitor health for your book of business, including utilization, key feature adoption, and champion/stakeholder engagement. - Execute standard adoption plays and account review cadences to maintain or improve health, leveraging existing playbooks and frameworks. - Identify risks early and partner with senior TAMs and account teams to build and execute recovery plans. - Run recurring meetings with your accounts, sharing usage summaries, recommended next steps, and capturing follow-ups. - Connect AI adoption, automation usage, and workflow improvements to measurable customer outcomes such as efficiency gains, stakeholder adoption, and expansion signals. Workflow Mapping (IER Framework) - Conduct Intake → Execution → Reporting (IER) cycles for core customer workflows using established discovery guides and templates. - Recommend optimizations based on documented best practices and apply workflow templates to support scale and consistency. - Maintain clear documentation of customer workflows, data models, and configuration decisions following team standards. - Use AI to help analyze repetitive workflow patterns, identify process friction, and sharpen recommendations — while validating outputs before using them with customers. AI Enablement & Agent Deployment - Support adoption of ClickUp AI across relevant customer workflows by configuring and testing standard AI workflows and automations aligned to published best practices. - Provide training and consultation on how to use existing AI and automation patterns; escalate novel or complex use cases to senior TAMs or specialists. - Track and report AI usage and credit consumption against plan, surfacing straightforward opportunities to deepen adoption. - Evaluate AI-generated outputs for accuracy, usefulness, and business relevance before sharing recommendations or enabling them in customer workflows. - Help customers move from feature awareness to practical workflow transformation by identifying where AI can remove manual work, improve reporting quality, or speed execution in repeatable ways. Customer Success & Expansion - Serve as the technical partner for assigned accounts, connecting usage to business value using established value frameworks and artifacts. - Identify expansion signals (e.g., usage patterns, feature interest) and pass qualified leads and insights to the account team for follow-up. - Collaborate with Sales and Customer Success to support renewals, expansions, and AI upsells, aligning your work to the broader account strategy. Cross-Functional Collaboration - Partner with account teams, Product, and Services to maintain alignment between delivery and success for your accounts. - Share customer feedback and insights to improve delivery and customer experience, focusing on clear problem statements and reproducible examples. - Collaborate with more senior TAMs and internal stakeholders on complex initiatives, contributing execution and customer context. CORE SKILLS & COMPETENCIES: Technical Acumen Solid understanding of ClickUp platform capabilities, automation logic, integrations, and AI Agent functionality, with a focus on applying documented solutions to customer use cases. Learns and adopts new features and patterns quickly.   AI Expertise Uses AI and Agents as a daily multiplier, not just an area of awareness. Comfortable with generative AI concepts, prompt design, and automation frameworks, and able to show examples of AI improving work quality, speed, or consistency in a customer-facing environment. Able to implement standard AI use cases and identify when to bring in senior partners for more complex or novel scenarios.   Consultative Discovery Strong at workflow analysis for core, well-understood processes. Uses structured discovery guides to identify friction points and map customer needs into ClickUp using existing best practices.   Project & Program Management Strong project and time management for your account load. Able to juggle multiple accounts and workstreams with regular check-ins and guidance from your manager or senior TAMs.   Data & Reporting Comfortable using dashboards and metrics to communicate health, adoption, and ROI at the account level. Interprets usage data to support clear, actionable recommendations within established frameworks.   Customer Engagement Executive presence and strong communication skills, with an emphasis on clarity, expectation setting, and follow-through. Builds trust with customer stakeholders by reliably executing agreed plans.   Account Ownership Accountable for day-to-day execution for your book of business: proactive in follow-through, organized, and focused on achieving measurable outcomes while escalating higher-risk or highly strategic decisions.   Collaboration & Influence Works cross-functionally with account teams, Product, and Sales to align on outcomes. Influences through clear data, customer stories, and consistent execution, while relying on senior leaders for major strategic decisions and escalations. AI-NATIVE CANDIDATE EXPECTATIONS: - Can demonstrate examples of using AI tools, prompts, automations, or agent-assisted workflows to improve personal productivity, customer delivery quality, or workflow outcomes. - Can speak concretely about where AI added value, where human judgment was still required, and how success was measured. - For this level, we are looking for evidence of strong applied AI fluency in execution — not necessarily novel model development or highly complex custom agent architecture. INTERVIEW SIGNAL: BE PREPARED TO WALK THROUGH HOW YOU USE AI IN YOUR WORK. OUR INTERVIEW PROCESS WILL ASSESS PRACTICAL AI CAPABILITY, INCLUDING HOW YOU APPLY AI TO WORKFLOW ANALYSIS, CUSTOMER EXECUTION, JUDGMENT, AGENTIC WORKFLOWS, AND MEASURABLE OUTCOMES. 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: United States The Account Executive will personally own end-to-end revenue generation. This includes outbound prospecting, pipeline creation, deal execution, and closing across the attractions and entertainment industry. This role is designed for a highly autonomous senior seller with a deep existing industry network, strong outbound discipline, and the ability to use AI as leverage. Here is a little window into our client: Our client is the leading provider of innovative cashless payment solutions for the entertainment industry including amusement parks, waterparks, family entertainment centers, arcades, events and attractions. They offer a range of cutting-edge hardware/software solutions designed to integrate seamlessly with their customers’ infrastructure. From robust Point-of-Sale systems and self-service kiosks to handheld devices and access control solutions, their hardware is built to withstand the demands of high-volume environments. The successful candidate will be based anywhere in the US, working in a remote work model, with a requirement to travel as and when required for external and internal meetings! Key Responsibilities Revenue Growth: Full revenue ownership for a defined portfolio, territory, or set of accounts Sales Planning and Execution: Develop go-to-market strategy and plans that support sustainable growth and align with the overall company goals Customer and Stakeholder Engagement: Responsible for outbound prospecting and self-sourced pipeline creation in addition to inbound opportunities with direct engagement with owners, executives, and senior operators (GM, COO, CFO, CTO) at attractions and venues. Manage end-to-end complex, consultative sales cycles, from first outreach through close Reporting and Analytics: Create and manage sales forecasting and performance reporting that tracks and analyzes KPIs such as quota attainment, deal conversion rates, sales cycle length, and pipeline health. Regularly present sales performance insights and strategies to the executive team Tools and Technology: CRM hygiene, pipeline management and use of AI-driven sales workflows (account research, prioritization, messaging, sequencing, etc.) Cross-Functional Collaboration: Close collaboration with customer success and leadership to inform positioning, pricing, and customer feedback. Identify expansion and cross-sell opportunities with potential partners Process Improvement: Work closely with team to implement and optimize sales processes. Collaborate with other functions to improve lead quality and sales enablement Requirements Bachelor’s degree in Business, Marketing, or a related field Experience selling B2B SaaS in the entertainment industry (i.e., amusement parks, waterparks, family entertainment centres, arcades, events and attractions, etc.) Deep, active, and current network within the attractions and entertainment industry Proven track record as a strong outbound hunter who personally creates and closes pipeline Demonstrated success in highly autonomous or sales roles Comfort leading technical, product-driven, and consultative sales conversations Executive presence and credibility with C-level and senior operational leadership Active, hands-on use of AI in daily sales workflows Builds long-term trust and understands client pain points Self-starter mentality – Your instinct is to figure out what is next and move with or without explicit direction Flexible, easily adaptable to change Excellent communication and presentation skills Ability to travel globally for industry events, trade shows, or team meetings A valid passport, driver's license, and the ability to rent a vehicle are required Fluent in English, both written and verbal, is essential Legally authorized to work in the US Benefits Autonomy and influence to shape long-term commercial strategy A culture built on operational excellence, transparency, and entrepreneurial thinking Competitive salary and bonus structure based on performance Health insurance, 401(k) with company match, and paid time off Opportunities for professional development and career advancement

Location: Colombia; Mexico; Argentina; Brazil; Costa Rica; El Salvador About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. Job Summary This is a rare 0→1 Founding Engineer opportunity to build a financial platform from the ground up within an already established and profitable ecosystem. We are looking for an exceptionally strong, hands-on engineer with direct fintech experience who has previously built core banking, payments, ledger, cards, or money-movement infrastructure at an established fintech, neobank, or financial technology company. This is not a management-first position. We need someone who still wants to architect systems, solve difficult technical problems, and write production code. You will work directly with the founders and an existing technical developer, taking significant ownership of the architecture, product, and technical direction. As the platform scales, you will also have the opportunity to help shape and build the engineering team around you. Key Responsibilities Architect and build core financial infrastructure, including accounts, balances, ledgers, transaction state machines, and money-movement systems. Build KYC/KYB, onboarding, compliance, permissions, limits, and approval workflows. Design integrations with banking partners, card issuers, payment rails, FX providers, and other financial infrastructure partners. Develop provider-independent architecture that supports multiple banking and financial providers without vendor lock-in. Build secure, reliable APIs and financial data models capable of handling reconciliation, event processing, retries, and exception handling. Own technical problems end-to-end, from architecture and database design through implementation and production deployment. Work directly with the founders to translate product requirements and business constraints into scalable technical solutions. Help establish engineering standards, technology choices, and the long-term technical direction of the platform. Requirements 3–8+ years of professional software engineering experience with strong backend or full-stack fundamentals. Direct experience building financial infrastructure within a fintech, neobank, payments company, or similar financial technology environment. Experience with core banking, payments, ledgers, cards, FX, reconciliation, KYC/KYB, or money movement. Proven experience building production-grade APIs and distributed systems. Strong database architecture and data-modeling skills. Experience with asynchronous workflows, queues, events, retries, idempotency, and transaction processing. Strong engineering judgment and product instincts, particularly when balancing speed, scalability, reliability, and correctness. Comfortable operating in a highly ambiguous 0→1 environment and taking significant ownership without requiring extensive direction. Natural initiative, creativity, and problem-solving ability. Highly hands-on and excited to continue writing production code rather than moving into a primarily managerial role. Nice-to-Haves Experience as a strong individual contributor, early engineer, founding engineer, or technical lead within a high-growth fintech. Background at companies such as Revolut, Wise, Monzo, N26, Nubank, Brex, Stripe, Plaid, Airwallex, Nium, Razorpay, Adyen, Checkout.com, PayPal, Column, Modern Treasury, or similar. Deep understanding of financial ledgers, reconciliation, transaction processing, or money-movement architecture. Experience integrating multiple banking, payment, card, or financial infrastructure providers. Familiarity with regulatory and compliance requirements surrounding KYC/KYB and international financial services. Experience building multi-currency, FX, card issuing, or cross-border payments products. Previous experience helping build a product or engineering function from an early stage. Benefits 💰 Milestone-based compensation 🌎 Fully remote and flexible work environment 🚀 High-impact founding role with 0→1 ownership 📈 Direct influence over architecture and technical direction 🎯 Opportunity to build on top of an already profitable platform 🛠️ Modern tech stack and provider-agnostic architecture 🧠 Collaborative environment working directly with experienced founders

Location: Romania; Poland; Georgia; Croatia; Bulgaria About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. About the company Our client is a fast-growing business formation and financial services platform designed to help international entrepreneurs achieve global business freedom. By integrating company setup in major international hubs, residency visas, and corporate banking into one seamless digital experience, the team removes the traditional barriers to cross-border expansion. They provide a comprehensive suite of services—including tax compliance, bookkeeping, and real estate investment—to a diverse client base spanning over 50 countries. Driven by a mission to provide transparency and speed in a complex regulatory landscape, this team has successfully launched over 1,400 companies and opened thousands of corporate bank accounts. The culture is built on first-hand entrepreneurial experience and a commitment to white-glove service, operating with a remote-friendly, expert-led approach. Candidates will join a high-impact environment focused on scaling innovative solutions that empower founders to build and manage their businesses on their own terms. Job Type Full-time Job Summary This is a rare 0→1 opportunity to build a high-scale financial platform from the ground up within a profitable, established ecosystem. While most fintechs spend years struggling to find customers, this team already has massive distribution at the point of company formation. We are looking for a hands-on Founding Engineer to bridge the gap between company incorporation and global financial operations by building a neobank-style platform that handles everything from KYC and multi-currency accounts to complex money movement and card issuing. You will own the architecture and technical direction of a product that helps international founders launch and scale their businesses globally. Key Responsibilities Architect and build core financial infrastructure including KYC/KYB workflows, ledger systems, and transaction state machines. Design and implement integrations with regulated banking partners, card issuers, and payment rails (ACH, Wires, FX). Develop provider-agnostic systems that allow the platform to integrate multiple financial partners without vendor lock-in. Build robust, secure APIs and data models capable of handling complex reconciliation and event processing. Manage the full lifecycle of feature development, from initial database schema design to production deployment and internal compliance tooling. Work directly with the founders to translate product goals into scalable technical solutions and engineering standards. Requirements 3–8+ years of professional software engineering experience with strong backend or full-stack fundamentals. Proven track record of building production-grade APIs and distributed systems. Mastery of database design, data modeling, and asynchronous workflows (queues, events, retries, and idempotency). A high degree of engineering judgment; you understand when to build for scale and when to optimize for speed. Exceptional ownership mentality—you are comfortable taking a problem and a goal and figuring out the path to completion independently. Highly hands-on approach with a desire to write production code daily in a fast-moving, early-stage environment. Nice-to-Haves Direct experience in fintech, neobanking, or payments (specifically ledgers, reconciliation, or money movement). Background at high-growth financial technology companies such as Stripe, Adyen, Airwallex, Brex, or similar infrastructure providers. Familiarity with the regulatory nuances of KYC/KYB and international banking infrastructure. Experience building multi-currency or FX-heavy platforms. Benefits 💰 Milestone-based compensation 🌎 Fully remote and flexible work environment 🚀 High-impact founding role with 0→1 ownership 📈 Direct influence over architecture and technical direction 🎯 Opportunity to build on top of an already profitable platform 🛠️ Modern tech stack and provider-agnostic architecture 🧠 Collaborative environment working directly with experienced founders

Location: South Africa; Pakistan; Philippines About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. Job Summary This is a rare 0→1 opportunity to build a financial platform from the ground up within an established and profitable ecosystem. We are looking for a highly hands-on Founding Fintech Engineer – Banking & Payments who has previously built serious financial infrastructure and now wants significantly more ownership. You will work directly with the founders and alongside an existing technical developer to architect and build a neobank-style platform spanning business onboarding, KYC/KYB, accounts, payments, cards, FX, ledgers, reconciliation, and money movement. This is not a traditional engineering management position. We are looking for a strong individual contributor or technical lead who remains deeply technical, enjoys writing production code, and is comfortable solving difficult problems without an established playbook. As one of the earliest engineers on the financial product, you will have substantial influence over architecture, technology choices, financial domain models, provider integrations, engineering standards, and eventually the team built around the platform. Key Responsibilities Architect and build core financial infrastructure, including accounts, balances, ledgers, KYC/KYB workflows, transaction state machines, and reconciliation systems. Design and implement integrations with regulated banking partners, card issuers, payment providers, and payment rails including ACH, wires, international payments, and FX. Build provider-independent architecture that enables integration with multiple banks and financial infrastructure partners without creating dependency on a single provider. Develop secure, reliable financial APIs and data models capable of supporting complex transaction and money-movement workflows. Build asynchronous systems involving queues, events, retries, idempotency, exception handling, and transaction processing. Develop card issuing and card management integrations alongside multi-currency and FX functionality. Build internal operations, compliance, permissions, limits, and approval tooling. Own systems and features end-to-end, from architecture and database design through implementation, testing, deployment, and production operation. Work directly with the founders to translate business and product requirements into pragmatic technical solutions. Establish engineering standards and technical foundations that can support the future engineering team. Take initiative in ambiguous situations and independently identify solutions to complex technical and product problems. Requirements 3–8+ years of professional software engineering experience with excellent backend or full-stack fundamentals. Strong hands-on experience building production-grade APIs, backend services, and distributed systems. Proven experience working on complex systems where reliability, consistency, and data integrity are critical. Strong database architecture, data modeling, and system design skills. Experience with asynchronous workflows, including queues, events, retries, idempotency, and failure handling. Strong engineering judgment and the ability to balance speed, scalability, reliability, and maintainability. Demonstrated experience owning technical systems or major product areas end-to-end. Strong product instincts and an ability to translate ambiguous requirements into working software. Comfortable operating in a fast-moving, early-stage or 0→1 environment. A natural technical leader who takes initiative without needing a large team or established processes. Highly hands-on and genuinely excited to continue writing and shipping production code. Nice-to-Haves Significant hands-on experience within fintech, neobanking, banking infrastructure, payments, or financial technology. Experience building core banking, payment, ledger, card, FX, reconciliation, or money-movement infrastructure. Previous experience as an individual contributor or technical lead at a leading fintech, neobank, payments company, or financial infrastructure provider. Background at companies similar to Revolut, Wise, Monzo, N26, Nubank, Brex, Stripe, Plaid, Airwallex, Nium, Razorpay, Adyen, Checkout.com, PayPal, Column, or Modern Treasury. Experience designing financial ledgers, transaction state machines, or reconciliation systems. Familiarity with KYC/KYB, compliance workflows, and regulated banking integrations. Experience with card issuing or payment-processing infrastructure. Experience building multi-currency or FX-heavy financial products. Experience integrating multiple banking or financial infrastructure providers into a single platform. Previous experience joining an engineering organization early and helping take a product from 0→1. Benefits 💰 Milestone-based compensation 🌎 Fully remote and flexible work environment 🚀 High-impact founding role with 0→1 ownership 📈 Direct influence over architecture and technical direction 🎯 Opportunity to build on top of an already profitable platform 🛠️ Modern tech stack and provider-agnostic architecture 🧠 Collaborative environment working directly with experienced founders

Location: Serbia; Albania; Bosnia and Herzegovina; Kosovo; Montenegro; North Macedonia Intetics Inc., a leading American technology company specializing in custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions, is looking for a Senior Data Architect to join its innovative team. About the Role We are seeking a highly experienced Senior Data Architect with demonstrated ownership of enterprise-scale Azure Data Platform architectures. The ideal candidate will be responsible for designing, modernizing, and optimizing complex data environments, while defining clear architectural direction and delivering implementation-ready solutions. This role requires a combination of strategic thinking and hands-on expertise across Azure Data Platform technologies, Databricks, data warehousing, and modern data architecture practices. Responsibilities Design and own enterprise-scale data platform architectures on Azure. Assess existing data environments and identify opportunities to improve scalability, performance, maintainability, and data quality. Define and implement modern data platform architectures using Azure services and Databricks. Design reusable and metadata-driven data ingestion frameworks. Architect and optimize structured and unstructured data processing solutions. Design and maintain scalable data models and analytical platforms. Define both tactical improvements and long-term target-state architectures. Create architecture documentation, technical specifications, and implementation guidelines. Collaborate with engineering teams, stakeholders, and business users to translate requirements into scalable solutions. Establish best practices for data governance, architecture standards, data quality, and platform reliability. Support engineering teams during implementation and architecture adoption. Must Have Proven experience as a Data Architect with end-to-end architecture ownership. Strong hands-on experience with the Azure Data Platform . Minimum 4 years of recent Azure experience. Strong expertise with: Azure Synapse Analytics, Azure Data Factory (ADF),Azure Data Lake Storage (ADLS),Azure SQL / SQL Server, Azure Cosmos DB, Databricks Strong experience with: Data Engineering, Data Warehousing, ETL/ELT architectures, Data Modeling, Incremental Processing, Cloud Data Platforms Advanced SQL and Python skills. Experience designing and implementing large-scale cloud data solutions. Strong experience working with both structured and unstructured data. Excellent communication and stakeholder management skills. Azure Synapse Expertise The successful candidate should demonstrate deep knowledge of: Synapse Pipelines Spark Pools Serverless SQL Dedicated SQL Pools Workload optimization and architecture design Data lake integration patterns Large-scale analytical platforms Azure Cosmos DB Expertise Hands-on experience with: Data modeling, Partition key strategy, Indexing, Scalability design, Throughput and RU optimization, Cost optimization, Consistency models, Change Feed, Distributed database architectures What We're Looking For Strong architecture ownership and decision-making experience. Experience modernizing and improving existing data platforms. Ability to quickly assess complex environments and provide actionable recommendations. Experience designing reusable and scalable ingestion frameworks. Deep understanding of structured and unstructured data processing. Strong data modeling experience for enterprise analytics platforms. Ability to balance short-term business needs with long-term architectural vision. Technology-neutral mindset when selecting tools and services based on requirements, scalability, performance, and cost. Experience producing implementation-ready architecture deliverables. Nice to Have Lakehouse architecture experience. Experience with AI-driven analytics solutions. Data governance and compliance experience. Experience supporting enterprise reporting and analytics environments. Knowledge of modern cloud-native architecture patterns. Technology Stack Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Azure SQL / SQL Server, Azure Cosmos DB, Databricks, Python, SQL, ETL/ELT, Data Warehousing, Data Modeling What We Offer Challenging enterprise-scale projects. Opportunity to drive architecture decisions and platform modernization initiatives. Collaboration with international teams. Long-term cooperation and professional growth opportunities. Innovative and supportive work environment.

About us: Proxify connects top developers worldwide with opportunities. Since launch, Proxify developers have worked with 1200+ clients and 5000+ developers trust the network. Proxify supports remote full-time jobs with high ratings on Glassdoor and Trustpilot. The Role: Seeking a Senior QA Automation Engineer to be the primary architect of quality assurance strategy for a high-growth client team. Responsibilities include building scalable automation frameworks, defining test strategies, selecting tools, and integrating automated suites into CI/CD pipelines. The role is for a "Developer in Test" focused on building safety nets for confident code shipping. What we are looking for: — 5+ years in test automation with expertise in Playwright, Cypress, or Selenium — Ability to write clean, maintainable test code in TypeScript/JavaScript, Python, or Java — Experience building and scaling automation frameworks (Page Object Model, Screenplay Pattern) — Extensive experience testing RESTful and GraphQL APIs using Postman, SuperTest, or RestAssured — Hands-on integration of automated tests into pipelines using GitHub Actions, GitLab CI, or Jenkins — Mobile automation experience with Appium or Maestro is a significant advantage — Familiarity with performance testing tools like k6 or JMeter Nice-to-Have: — Knowledge of Docker for containerized testing — Experience with Visual Regression testing tools (Percy, Applitools) — Familiarity with Cloud Testing platforms (BrowserStack, Sauce Labs, AWS Device Farm) — Background in Security Testing (OWASP principles) Responsibilities: — Define automation roadmap and select tools matching client stack — Write, maintain, and optimize complex end-to-end integration and regression test suites — Collaborate with Developers and Product Managers to define "Definition of Done" and ensure testability — Identify, document, and track software defects, working closely with dev team — Act as "Quality Evangelist" by conducting code reviews for test scripts and sharing best practices What we offer: — On-time monthly payments with flexible withdrawal options — Predictable project hours with consistent 8-hour working days — Up to 24 flex days off per year without losing pay for full-time positions — Career-accelerating positions at cutting-edge companies — Hand-picked opportunities with no typical recruitment roadblocks — One-time contracting process for multiple opportunities — Consistent monthly compensation

Location: Colombia Reports to: Executive Director Location: Fully Remote About the Company Our client is a fast-growing, forward-thinking organization focused on reimagining how businesses operate through innovation, care, and agility. Their culture emphasizes collaboration, transparency, and trust, with a strong focus on empowering team members to take ownership, share ideas openly, and grow alongside the business. They value speed, adaptability, and continuous learning, and they celebrate progress and wins at every stage. About the Role The Finance & Data Analytics Manager will serve as the strategic owner of the company’s financial visibility and business performance insights. This role is responsible for overseeing financial operations while transforming data into actionable intelligence that supports decision-making across leadership, sales, and operations. The position blends finance, analytics, and operational reporting, with ownership over forecasting, financial reporting, sales analytics, and cash flow visibility. Success in this role requires the ability to connect financial data with operational outcomes and ensure leadership has clear, timely insights to act with confidence. Responsibilities Manage and analyze sales, expense, and performance data to produce clear, data-driven insights Build and maintain dashboards and financial models that track overall company health and sales performance Oversee bookkeeping and ensure financial records are accurate, organized, and current Lead payroll review, billing, and payment processes with a focus on accuracy and timeliness Review and process agent invoices and commission calculations Reconcile accounts and track inventory across systems to ensure data consistency Partner with leadership on revenue forecasting, growth modeling, and KPI tracking Identify opportunities to improve processes and automate finance and reporting workflows Experience & Education 5+ years of experience in finance, FP&A, or data analytics roles Experience in e-commerce, DTC, or fast-moving startup environments Bachelor’s degree in Finance, Accounting, Economics, Data Analytics, or a related field Advanced proficiency in Excel/Google Sheets (pivot tables, dashboards, automation) Experience with financial and reporting tools (e.g., QuickBooks, Airtable, Power BI) Familiarity with workflow and automation tools such as Zapier, n8n, and Make Comfortable working with project and data visualization tools like Asana, Vibe Canvas, and Lucid Experience integrating data across systems to create unified dashboards or reporting flows Certifications (Preferred, Not Required) CPA, CFA, or data analytics-related certification

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like. WHAT THIS ROLE MEANS AT HIGGSFIELD This role owns how Higgsfield measures its product - from the first sign-up to whether people come back. You are the measurement owner for onboarding, first generation, the paywall, plans and credits, and retention. Product managers ship fast here - your job is to make sure they ship knowing. You make sure: - Every product decision has a number attached to it before it ships and after it ships - Experiments are designed to be readable, and then read honestly - including when the answer is “this didn’t work” - The events the product emits can be trusted; you own the definition, not just the query - A PM gets an answer in hours, not next sprint You are the person who decides what “it worked” means. WHAT YOU WILL DO Product measurement - Own the core product metrics: activation, first-generation success, generation depth, free→paid conversion, repeat usage, retention by cohort and segment. - Define each metric once, write the definition down, and hold the line on it - one definition across dashboards, decks, and Slack. - Instrument new features before launch, with product and engineering: which events, which properties, what success looks like, when we call it. - Watch the health of the event stream itself - tracking drift, double counting, missing parameters, naming breakage and find the problem before a decision gets made on top of it. Experimentation - Design A/B tests properly: hypothesis, one primary metric, unit of randomization, MDE, sample size, run length, guardrail metrics. - Read them honestly: significance, peeking, novelty effects, sample-ratio mismatch, segment heterogeneity. - Separate “we proved this works,” “we proved this doesn’t,” and “we can’t tell from this test” - and say which one out loud. Product & monetization analysis - In-product funnel work: onboarding and quiz, first generation, paywall, checkout, plan choice, credit top-ups. - Pricing and packaging analysis: plan mix, credit consumption, unit economics per generation, margin by feature and by model. - Feature adoption and its real effect on retention and revenue — separating “users who do X retain better” from “making people do X improves retention.” - Behavioural segmentation: casual creators vs corporate/B2B, new vs returning, by model and by use case. Mixing them hides everything that matters. Making it usable - Build the few dashboards PMs actually open on their own — decision-shaped, not comprehensive. - Write short readouts a non-analyst can act on. Visualize data for humans, not for other analysts. - Automate recurring reporting so your hours go to new questions, not refreshes. - Work in SQL, Python, BigQuery and product analytics tools. We use AI heavily - resourcefulness beats syntax. WHO WE'RE LOOKING FOR We're looking for an analyst with opinions. You should have: - Strong SQL: window functions, cohorts, funnels and retention on raw event data, without help. - Python at working level for analysis (pandas, notebooks). Entry level is fine - we use AI heavily. - Real experimentation experience: you have designed tests, run them, and killed features with the results. - Statistical honesty: you know what a p-value does and does not entitle you to say, and you have refused to call a flat test a win. - Understanding of subscription + one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, deferred value of unspent credits. - The instinct to check the instrument before explaining the movement - a surprising number is a claim, not a fact. - Ownership: you decide what's worth analyzing, you chase the fix, you follow the recommendation to a shipped change. - Clear written and spoken English, B2+. Backgrounds that often do well: - Product analysts from consumer subscription or PLG products - Growth/BI analysts who moved into product and stayed - Early-startup analysts who built product measurement from zero - Data scientists who got tired of models and want decisions WHAT THIS ROLE IS NOT This role is not a fit if you: - Wait for a ticket to tell you what to analyze - Want to build models more than you want to change decisions - Need a data engineering team and clean tables to exist before you can start - Would report a lift you don't believe in because a stakeholder wants it - Need perfect data before you can say anything useful - Want predictable 9–5 workdays HIRING PROCESS - Screening call (30 min) - Hiring-manager screen (30 min) - Business case (1 hour) - Take-home with real-shaped data (7 days, ~10–12 hours of work) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.   WHAT THIS ROLE MEANS AT HIGGSFIELD Right now we treat 25M+ people as one user. The same paywall, the same discount, the same lifecycle email, the same retention effort. And we mostly conclude that a campaign worked by looking at what the people we sent it to did next — which is not the same thing. This role makes the company act per user, and know what that action was worth. You own both halves of that: the models that decide who we aim at, and the causal reads that say whether it landed. Who is about to leave. Who will come back on their own without us spending anything. Whose decision a discount actually changes. And what a payer is worth over their life, once the discount, the refunds and the compute they consume are all inside the number. You make sure: - Discounts and credit vouchers go to the people whose behaviour they change, and nowhere else - We know who is about to churn early enough to do something about it — and we know whether the something worked - Lifetime value is a number we can defend by cohort, by plan and by the discount a cohort was acquired on, not one blended average that hides all three - Every model and every campaign has a holdout behind it, so we can always state what it is worth in money WHAT YOU WILL DO Churn, retention & lifecycle propensity - Build churn and downgrade prediction for subscribers, and repeat-purchase propensity for one-time credit-pack buyers — two different machines, not one model with a flag on it. - Know the difference between a model that predicts churn and a model that reduces it. AUC earned by detecting users who already stopped using the product is worth nothing. - Hunt leakage relentlessly. Cancellation-adjacent features will hand you a beautiful offline number and a useless system. - Pair every score with an intervention and a holdout. The deliverable is a retained user, not a ranked list. Uplift modelling & offer targeting - Own incrementality on everything we aim at a user: discounts, credit vouchers, trials, upgrade prompts, win-back campaigns, retention saves. - Model uplift, not propensity.Targeting the users most likely to convert spends margin on people who were going to convert anyway; the entire value of this work is finding the users whose decision the offer changes. - Design the randomized holdouts that make uplift trainable and measurable in the first place, and keep them running permanently — including the ones marketing will ask you to switch off. - Respect the guardrails. An offer model optimizing conversion alone will happily find the accounts that convert at negative gross margin, and it will find the abuse rings first. Margin and abuse signals are constraints on the objective, not a later cleanup. - Work with Legal on what may be personalized. Personalized pricing and discounting touches consumer-protection and consent rules in several of our markets — you should want that conversation, not route around it. Lifetime value & payer economics - Own LTV: cohort-based, censored honestly, stated on contribution margin rather than gross revenue, and split by plan, segment and acquisition discount. - Model the parts that actually move it — refunds and chargebacks, credit breakage and expiry, plan migration and downgrades, and the compute an unlimited plan consumes. - Make it a decision input, not a slide: what we can pay for a user, which discount depth pays back, which plan we should stop selling. - Keep it current and versioned. A stale LTV curve is worse than no curve, because people act on it. Experimentation & causal measurement - Design and read the experiments behind pricing, packaging, offers and lifecycle — with the product analytics team, not in parallel to it. - Reach for the right tool when a clean experiment is impossible: difference-in-differences, matching, switchback and geo tests, synthetic control — and name the assumption each one is buying. - Separate "users who do X retain better" from "making users do X improves retention." Every time, out loud. - Kill your own results. A finding that doesn't survive a second look should die at your hands, not in a board deck. How we ship - Own the work end to end: framing the decision, features, training, evaluation, the scored audience landing in the tool that sends the offer, monitoring, retraining. - Models ship as batch scores and policy rules into lifecycle tooling, the paywall and pricing — plus the readout that says what they earned. There is no real-time serving stack to babysit. - Monitor for drift. New model launches, price changes, discount campaigns and seasonality all move the ground under a deployed score. - Write down what each model is worth, in money, and keep that number current. WHO WE'RE LOOKING FOR - Experience shipping models that changed what the business did to real users— a targeted campaign, a pricing rule, a retention programme. Notebooks and offline benchmarks are not this. - Depth in at least two of: churn and propensity modelling, uplift & causal ML, LTV and subscription economics, experimentation at scale. - Genuine causal literacy: randomized holdouts, incrementality, Qini and uplift curves, selection effects, and why a lift measured before-and-after is usually not a lift. - Strong SQL and Python: cohorts, funnels and retention on raw event data without help; gradient boosting; and the boring parts — feature pipelines, retraining cadence, a scoring job that runs on a schedule and doesn't rot. - Understanding of subscription plus one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, the deferred value of unspent credits, and why revenue and margin disagree about the same customer. - Commercial judgment: you name the decision and the metric before you pick the model, and you know when the answer is a rule rather than a model. - Pragmatism. A segment rule shipped this month that lifts retention beats a two-quarter uplift platform. Then you replace the rule. - Clear written and spoken English, B2+. Backgrounds that often do well: - Growth, retention or monetization data scientists from subscription, gaming, fintech or e-commerce — anywhere offers and churn are modelled with real money attached - CRM and lifecycle data scientists who owned campaign targetingandits incrementality - Causal inference and uplift specialists who ship policies rather than papers - Strong product analysts who moved into modelling and kept the decision instinct WHAT THIS ROLE IS NOT This role is not a fit if you: - Want to train or fine-tune generative video models — that's what our R&D ML Engineer roles do, and they're open - Want to own a recommender or a serving stack — ranking is not in this role's scope today - Would target an offer at the users most likely to buy and call it personalization - Report a lift from a before-and-after comparison, or from comparing the users you targeted to everyone you didn't - Optimize AUC and hand the score to someone else to work out what to do with it - Need clean labelled data, a feature store and an experimentation platform to exist before you can start - Want predictable 9–5 workdays HIRING PROCESS We move fast: - Screening call (30 min) - Technical interview & case study (1 hour) - Practical home task (7 days) - Team interview (60 min) - Paid on-site trial (1 month) WHAT WE OFFER - Competitive base salary in USD, based on your experience, skills, and the scope of the role. - Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth. - Relocation support to Almaty for candidates moving from another city or country. - A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company. - Opportunities for professional growth, ownership, and career development as the company scales. - Company-provided equipment, meals, transportation, or other office benefits.

Location: Almaty, Kazakhstan Workplace: OnSite WHY WORK AT HIGGSFIELD AI? Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. In 365 days we shipped 305 releases — roughly five years of work at most companies. New models, features and workflows land every week, and each one has to be explained to millions of users in a way that makes them understand it, want to try it, and remember it. WHAT YOU WILL WORK ON - Writing about releases, features and updates for our blog, guides and newsletters; - Translating product context into language users actually understand; - Working cross-functionally — inside CX, and with the product and marketing teams; - Shaping how Higgsfield sounds: the words we use about ourselves, how we're read, how we're remembered. YOUR MUST HAVES - English C1+ — the language you think in, not the one you translate into; - Real craft with text in English and Russian: you write from scratch, edit for different audiences, and feel rhythm. You can write simply and you can write densely. You understand structure and know how words move people; - A nitpicker, in the best sense: you see a weak sentence and can't leave it. You notice where a paragraph sags, where an analogy doesn't hold, where cutting three words makes it stronger; - A-player mindset: ownership, speed, taste, and genuine interest in AI; - Comfort with the pace — releases ship weekly and the writing has to keep up. NICE TO HAVE - Experience writing for a tech, SaaS or AI product; - Background in product documentation, developer content or technical writing; - Familiarity with the GenAI landscape and the tools creators actually use; - Experience working alongside product teams rather than downstream from them. THE DEAL - Competitive salary in USD, reviewed as you grow; - On-site role in our Almaty office; - Access to Higgsfield products and the AI tools we use internally; - Breakfast, lunch and good coffee on us; - Full-time position with high ownership and growth potential.

Location: Paris; London ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. THE ROLE  As a direct Business & Operations partner to our Solutions team, including Deployment Strategists and Applied AI Engineers. You will work closely with Solutions leadership to build & scale the operating system that powers value & operational excellence across pre-sales and post-sales activities. You will translate our value vision into a scalable operating model by building automations, defining processes and ways of working, standing up KPIs and reporting, operationalising our internal ROI framework, feeding the feedback loop to capitalize on our successes, and embedding reusable value frameworks into customer engagements. This role is critical to turning our go-to-market strategy into repeatable, AI-native action, aligning delivery quality, output per FTE, and customer satisfaction to improve the efficiency and impact of our Solutions organisation and accelerate the value Mistral delivers to customers.   WHAT YOU WILL DO   Operating System & Automation - Build the secure-by-design operating system that links our tooling stack to the Solutions team’s needs, and design the internal tools & automations that raise output per FTE. - Streamline Deployment Strategist operations across pre-sales scoping and delivery, compounding shared knowledge, templates, and reusable IP. - Drive daily adoption of our AI layer throughout the Solutions team, productising internal work into reusable assets for the team. Value Intelligence & ROI - Operationalise the internal ROI framework per project / use case, defining and surfacing where we build value. - Define the reporting layer and metric catalog (what we collect and surface) and build the dashboards that turn our data foundation into decisions and proof of value. - Stand up the customer satisfaction measurement system (define, collect, surface) as a core input to value & operational excellence. Processes, Ways of Working & Cross-Functional Collaboration - Codify delivery playbooks, ways of working, and scaling programs end-to-end across the customer lifecycle - Partner with Revenue Growth, People Growth, RevOps, CSMs and Product & Engineering to align the operating system with company strategy and fuel the flywheel. - Ensure our operational processes are followed across geographies, embedding safety, security & compliance into our ways of working.   WHAT WE'RE LOOKING FOR - 4+ years of experience in strategic operations, business operations, or a chief-of-staff role within technical sales or solutions engineering. - Strong ability to bring structure to ambiguity and drive complex, cross-functional initiatives from strategy through execution. - Proven track record in optimising processes, impacting business KPIs, and aligning resources with business priorities. - Exceptional negotiation and diplomacy skills: ability to navigate complex stakeholder dynamics and align competing priorities. - Hands-on, execution-focused mindset with a bias for action in ambiguous, fast-changing environments. - Hands-on builder of internal tools and data workflows; comfortable turning manual processes into scalable systems. - Strong analytical skills to design ROI and value frameworks, build reporting, and translate data into operational decisions. - Technical acumen and AI fluency: understanding of AI implementation, use cases, and scaling challenges. - Native-level fluency in English; additional European languages are a plus. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Remote, EU Workplace: remote About us   Aave Labs began with a simple question: how do we make financial services like borrowing, saving, and earning more accessible globally?   We built the Aave Protocol, now the world’s largest and most trusted onchain lending market, connecting decentralized finance with individuals, traditional finance, and fintech.   Today, we build trusted, high-quality products that expand access to lending, credit, and savings globally   Our culture   We build trusted products that help people access and discover economic opportunities.   We hold a high bar for quality and craftsmanship. No detail is too small. Trust depends on it.   We’re a global team building products people can actually use, turning complex technology into something simple and reliable.   We stay aligned, move quickly, and think long term, while keeping teams lean and focused on impact.   About the Role We're hiring a Staff Backend Engineer to build the backend infrastructure behind Aave App, a consumer savings app that makes onchain financial products simple, secure, and intuitive, and the vault products that power it. The role focuses on the systems between blockchain protocols and the consumer experiences built around them. This includes account and wallet services, transaction orchestration, vault management, monitoring and rebalancing, partner vault integrations, high-reliability blockchain indexing, balances and yield data, funding and withdrawal flows, notifications, and performant, well-documented APIs for mobile and web clients. You'll own a broad technical area with high ownership and turn ambiguous product goals into reliable production systems. Correctness, security, and operability are critical: the services you build will support customer transactions, sensitive account flows, user funds, and financial data across both onchain and offchain infrastructure. You'll also work closely with Quant Engineers, who own the financial models, assumptions, and calibration behind vault allocation and rebalancing, and with smart contract engineers, who own onchain integration and enforcement. Backend owns the production systems, data pipelines, and services that run those models. How you can make an impact: Design, build, and operate backend services for Aave App across onboarding, funding, savings, vaults, withdrawals, portfolio data, and customer communications Build vault management, monitoring, and rebalancing systems, including partner vault integrations, and work with Quant Engineers to turn reviewed allocation models into reliable production services Build transaction-orchestration and high-throughput indexing services that safely prepare, submit, monitor, and reconcile onchain activity across its full lifecycle Integrate with smart contracts, RPC providers, account infrastructure, payment partners, and other external services, designing for degraded dependencies and partial failure Lead technical reviews for high-value systems and improve testing, observability, alerting, incident response, and deployment practices across the backend codebase Work closely with mobile, web, product, design, protocol, smart contract, quant, security, data, and operations teams to deliver coherent consumer experiences Raise the engineering standard through hands-on delivery, pragmatic architecture, clear documentation, and review that helps other engineers grow Let's connect if you have: 6+ years of backend engineering experience, including ownership of complex production systems Strong backend programming skills. Production experience with Rust is highly desirable, but we'll also consider strong systems experience in Go, C++, Zig, or Java Experience building distributed, event-driven, or data-intensive systems with clear reliability and performance requirements Strong knowledge of API/GraphQL design, PostgreSQL or another relational database, caching, queues, and observability Experience with blockchain systems or other financial infrastructure involving real capital, particularly transaction signing, private-key or key-management flows, wallet infrastructure, and onchain transaction lifecycles, is highly desirable Strong judgement around threat modelling, sensitive data, permissions, and the operational risks of systems handling financial value Nice to haves: Experience reading smart contracts and integrating with EVM-compatible networks, smart accounts, account abstraction, bridges, vaults, or DeFi protocols Experience designing constraint, optimization, solver, or allocation systems Experience building consumer fintech, savings, wallet, exchange, or payments products at meaningful scale Experience with cross-chain indexing, large-scale data ingestion, Kafka, ClickHouse, or similar infrastructure Haven’t quite met all the criteria? Let’s not miss out on the chance to speak. Whilst you might not meet every single requirement, you might bring other, more exciting skills to the companies!   Equal opportunities statement:   Aave Labs celebrates diversity and views each and every team member as a separate individual with their own unique identity. No matter your race, religion, gender, ethnicity, age, disability, sexual orientation or even the wallet you use, we welcome you at Aave Labs. As an equal opportunities employer, we take accountability and believe in everyone's potential to build, create and inspire changes. With a mission to build a diverse workforce, we are proud to foster a working environment in which everyone can feel safe and valued for who they are.

Location: Paris, France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. MISSION Alan is scaling internationally (800+ employees, 100+ healthcare professionals, 5+ countries) and needs IT Engineers to build and own the internal technology platform every Alaner works on: identity and provisioning, endpoint and SaaS security, the tooling behind our clinics, and the automation that keeps IT from scaling linearly with headcount. The scope below is what the team owns, not a checklist for one person. You'll be staffed on one or two of these areas at a time, according to your strengths and interests, and it will evolve through time based on company needs and personal appetite. Staying close to users keeps us building the right things: you'll spend up to one day a week on IT support, seeing first-hand where friction lives and what's worth automating next. SCOPE ⚙️ PLATFORM & AUTOMATION - Own and extend automations on Alan Home, our internal provisioning engine - Maintain, extend and improve helpdesk automation, SaaS provisioning flows, and onboarding/offboarding pipelines - Own the meeting room AV and room-booking platform as a product, replicable across offices 🔑 IDENTITY & ACCESS - Own the IT side of the employee lifecycle (onboarding, offboarding, mobility between jobs and countries) across Google Workspace, SSO/SAML and our SaaS ecosystem. - Grow our role-based access model: extend it to more tools and refine the permission groups, so access is granted by role rather than case by case - Make employee lifecycle events reliable, fast and auditable end-to-end - Own access reviews and least-privilege models; produce and maintain the evidence our auditors rely on - Own SaaS procurement and license management: vendor relationships, renewals, and cost optimization across our stack 🔒 ENDPOINT & SAAS SECURITY - Own the Mac fleet in Kandji: enrollment at scale, role-based blueprints, fleet compliance - Cloudflare WARP, SaaS security controls - Maintain and strengthen our ISO 27001 certification and drive ACPR and pentest remediation on the endpoint and platform scope 🩺 HEALTH PROFESSIONALS IT - The IT layer behind Alan's clinics: practitioner tooling, equipment, access - Role and permission automation for healthcare professionals, and their support and escalation process 🌍 INTERNATIONALISATION - Make international expansion something IT accelerates, not something it slows down: a repeatable process where every new market (Canada, KSA, Armenia...) launches on our standard stack from day one - Bring acquired entities onto that same platform MILESTONES First 3 months - Acquire technical knowledge on Alan's platform: Alan Home, Google Workspace/SSO, Kandji, Cloudflare WARP - Take one project end-to-end and ship a first increment - Join the IT oncall team as technical escalation First 6 months - Own a workstream end-to-end - Deliver one automation or hardening initiative end-to-end - Take up documentation and automation on your scope and reduce significantly the bus factor on it - Mentor IT teammates on your core expertise First year - Deliver measurable IT toil reduction on your scope - Set the technical standards on your domain: how we build, document and review it - Build strong cross-functional partnerships (Engineering, Security, Workplace, Clinic, People, Audit) - Contribute to hiring and onboarding new teammates 3 years - Lead major projects end-to-end across several communities - Be the reference the team relies on across at least two domains - Mentor the IT team and beyond, and scale IT without a linear increase in manual work As the community grows, there is room to take on more responsibility: leading a crew, owning cross-community projects, mentoring, hiring. WHAT WE'RE LOOKING FOR Must-have - Technical/hard skills: - 3+ years in IT engineering, platform, systems or corporate engineering, with real ownership of production-facing systems - Depth in at least one area (platform & automation, identity, endpoint & security) and demonstrated range beyond it. - You write code: not as a full-time software engineer, but Python, APIs and pull requests in a shared repo should feel normal - Structured problem-solving: diagnoses methodically, asks the right clarifying questions, thinks about failure modes and rollback - Comfort with regulated environments: health data, ACPR, ISO 27001, HDS - Automation & AI appetite: uses AI tools smartly to accelerate their own delivery, with an instinct for what should be automated or delegated to AI rather than repeated Must-have - Behavioral / soft skills: - Ownership & autonomy: drives topics forward without hand-holding, including when they cross into someone else's perimeter - Written communication: Alan is written-first; decisions get argued in public documents and challenged by people outside your team - Pragmatic judgment: balances "perfect" vs. "good enough", decides with incomplete information - Documentation culture: reduces bus factor through clear documentation and knowledge sharing Nice-to-have skills / Bonus points if you have: - Experience with an internal provisioning or IdP-driven automation platform - Kandji or another MDM at scale - Cloudflare Zero Trust / WARP, Datadog - Audit remediation experience (ISO 27001, HDS) - Multi-country rollouts, or IT integration after an acquisition - Having mentored, coached or led a (small) crew - Health or healthtech ecosystem familiarity Languages: Fluent English & Professional French

Location: Kyiv; Lviv; Vinnytsia Workplace: onsite Ajax Systems is an international technology company and the largest security systems manufacturer in Europe. Ajax products are trusted by more than 4.5 million end users and 330,000 PRO users across over 180 countries. The company offers comprehensive solutions for protecting residential and commercial properties of various sizes. Today, the Ajax portfolio includes 280 devices for intrusion protection, video surveillance, fire safety, and comfort and automation. Every year, we demonstrate exponential growth both in the size of our team and in the number of users worldwide.   Ajax Systems operates a full-cycle production model, from idea generation and prototyping to mass production and global sales. Each department fully covers a specific operational need of the business. The company’s specialists are involved at every stage — from the production line in Ukraine to the logistics center in Poland, from where products are shipped to distributors worldwide. Now we are looking for a hands-on Cyber Security Specialist to strengthen our security posture and operational resilience. You will be at the forefront of our cybersecurity defense, responsible for incident monitoring and investigation, the deployment and improvement of security solutions, and ensuring our corporate processes and infrastructure meets compliance standards. If you are passionate about building secure systems, incidents investigation and translating technical findings into efficient mitigation actions, this role is for you. Key Responsibilities: Security systems support and improvements: Participate in security architecture improvement, provide support for the full lifecycle of security systems — from design and deployment to enhancement and technical support. Security Monitoring & Incident Response: Improve security monitoring processes and practices, participate in security events monitoring and triaging detected events. Develop and refine SIEM detection rules, investigate anomalies and identify root-cause of incidents, develop and execute mitigation plans to neutralize threats. Conduction Security Assessments: Conduct technical security assessments of corporate IT systems to identify compliance deviations and vulnerabilities. Participate in risks assessments, mitigation measures design and implementation. Compliance & Governance: Participate in improvement of security procedures, policies, and operational instructions. Collaborate with stakeholders on security processes implementation and improvement to ensure readiness for external security audits (e.g., ISO 27001, SOC2). Consultancy & Support: Partner with internal teams to define security requirements for new systems and solutions, provide expert guidance on implementing security controls. Participate in security requests processing, security awareness trainings preparation and conduction. Reporting & Strategy: Participate in preparation of reports for management, definition and description of security strategy. Required Technical Skills & Qualifications: Experience: 5+ years in CyberSecurity with a strong focus on SOC operations and security systems implementation. Core Proficiency: Hands-on experience with SIEM systems (Splunk/QRadar/Logsign/Wazuh), MDM solutions (Jamf/Crowdstrike/JumpCloud/Zoho), EDR/XDR solutions (SentinelOne/ESET/Defender), Cloud security monitoring (M365, GWS, AWS), and Firewall/WAF technologies (Cisco/PaloAlto/Fortinet/Ubiquiti). Domain Knowledge: Strong understanding of On-Premise and Cloud architectures, network security protocols, endpoint and application security. Practical experience in industry security best practices implementation (CIS, OWASP, NIST). Security assessment: Practical experience performing IT systems and application security assessments and reports preparation. Security governance: Experience in preparation of security reports, procedures and instructions for reporting. Practical knowledge of ISO 27001 technological controls implementation. Language Proficiency: Intermediate (B1-B2) English level required for working with technical documentation, cross-regional communication with colleagues and partners. Preferred Skills & Certifications: Certifications: Vendor-specific security certifications (e.g., Google, MIcrosoft, Cisco, Palo Alto PCNSE, Fortinet NSE) are highly valued. Frameworks: Practical knowledge of ISO 27001 organizational controls implementation. Why Join Us: Impact: Take ownership of security projects from concept to deployment. Culture: Work in a "zero bullshit" environment that values technical excellence and autonomy. Growth: Access to corporate English training and professional development/certification support. Health care: medical insurance. Beta Access: Get hands-on experience with new Ajax security systems before they reach the market. Innovation: Help shape the future of "Made in Ukraine" reliability.