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Location: Poland Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Serbia Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Romania Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Bulgaria Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Portugal; France Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Spain Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. At Finom, we're transforming how small and medium businesses across Europe manage their money - and financial crime prevention sits right at the heart of that promise. As a Senior Machine Learning Engineer, you'll take over DRS: a production ML product that scores our whole client base daily and drives our quarantine, alert suppression, and soon our credit decisions. This is genuine end-to-end ownership on a small team - you'll deploy, serve, monitor, and improve the system rather than inherit a finished one. If you're the kind of engineer who quietly keeps production models honest and wants their decisions to actually reach live traffic, this is your seat. What You Will Be Doing Full-stack ML model development (binary classification and regression) for the detection and prevention of financial crime during transaction processing and client onboarding: gathering requirements, prototyping, and deployment in a production environment. Own and evolve the Dynamic Risk Score (DRS) across all markets — daily scoring of the full client base that feeds decisioning across the client lifecycle. Handle a portfolio of transaction rules with ML-driven detection inside, optimizing their performance and the number of generated alerts. Set up continuous monitoring of model and rule performance in production, and develop the champion-challenger framework so the best-performing model is always the one live in production. Participate in infrastructure development for ML model operationalization and inter-service interactions, so models of varying complexity can be served and inferred. Who You Are At least 5 years as a Machine Learning Engineer or Full-stack Data Scientist, with production deployment experience (incl. API services like FastAPI). Strong in SQL and Python, and with cloud data platforms (e.g. Databricks). Strong architectural skills — able to design and improve infrastructure that serves models of varying complexity. Experience with model monitoring and champion-challenger / A-B evaluation in production. Exposure to graph modeling or foundation models/embeddings is a plus. Critical, analytical thinker — proactive, result-driven, comfortable working with little supervision in a start-up setting. A quantitative education (math, engineering, economics, or CS) and full working proficiency in English. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: London, United Kingdom About the Department Cloudforce One is Cloudflare's threat operations and research team, responsible for identifying and disrupting cyber threats ranging from sophisticated cyber criminal activity to nation-state sponsored advanced persistent threats (APTs). Cloudforce One works in close partnership with external organizations and internal Cloudflare teams, continuously developing operational tradecraft and expanding ever-growing sources of threat intelligence to enable expedited threat hunting and remediation. Members of Cloudforce One are at the helm of leveraging an incredibly vast and varied set of data points that only one of the world's largest global networks can provide. The team analyzes these unique data points at massive scale and efficiency, synthesizing findings into actionable threat intelligence to better protect our customers. About INTERDICT I.N.T.E.R.D.I.C.T. (Identify, Neutralize, Triage, Engage, Respond, Disrupt, Integrate, Contain, Threat Hunting) is Cloudforce One's unified operational security organization responsible for identifying, analyzing, and responding to threats targeting Cloudflare and its customers. INTERDICT encompasses three main sub-functions: PhishGuard: Email Managed Detection and Response (MDR) service. Cloudflare Managed Defense (CMD, Formerly SOCaaS): 24/7 monitoring, detection, and mitigation of security events across Cloudflare products. Detection Engineering: Develops, maintains, and deploys Cloudflare’s threat detection logic across email, application, and network telemetry. Through the combined capabilities of CMD, PhishGuard, and Detection Engineering, INTERDICT delivers a cohesive operational security function that provides continuous, proactive protection against network, application, and email-based threats. This integrated structure ensures rapid detection, coordinated response, and improved security outcomes for Cloudflare and its customers. About the Role The Response Engineer within the Cloudflare Managed Defense Center acts as a primary technical responder for Cloudflare's premium enterprise customers. You will autonomously investigate complex threat telemetry, handle live incident response for sophisticated volumetric DDoS and application-layer attacks, and analyze traffic anomalies during high-pressure events. Customers contact the Managed Defense Center for assistance and intelligence across Cloudflare's security portfolio, focused on two core pillars: Web Application Security (WAF and Bot Management) and DDoS mitigation across network and application layers. Managed Defense Response Engineers use customer-facing dashboards and internal tools to make detailed and informed suggestions for mitigation, and may implement mitigation strategies directly on behalf of the customer. The team provides continuous proactive monitoring and analysis of security events through internal alerting systems. We are looking for an analytical security practitioner who thrives in this always-on operational environment and bridges the gap between deep technical analysis and premium customer advisory. Role Responsibilities Implement robust mitigation strategies for complex attacks across OSI Layers 3, 4, and 7 using Cloudflare's suite (Magic Transit, Magic Firewall, Advanced TCP Protection, Advanced DNS Protection, WAF, Custom Rules, IP Access Rules, Bot Management, and Rate Limiting) Monitor and investigate proactive alerts, performing near real-time packet and traffic flow analysis and correlation to detect protocol exhaustion and application-layer exploitation, translating findings into custom, highly targeted mitigation rules Review alerts to determine relevancy and urgency, proactively escalate customer-impacting incidents, and adhere to Customer SLAs for alert response and customer communication Act as the primary technical contact for customers during active security incidents, driving high-touch, consultative communication (via phone, chat, email) with customers' technical engineering teams to neutralize threats while ensuring stable traffic delivery Continuously tune and optimize existing security monitoring rules and alerting thresholds to improve the operational signal-to-noise ratio and reduce false positives Lead managed customer onboarding sessions, maintain customer-specific runbooks, and deliver highly technical monthly security posture reviews and post-incident reports Partner directly with internal engineering, product, and threat intelligence teams to provide actionable feedback on attack trends, tooling gaps, and product enhancements Role Requirements 4–7 years of direct, hands-on experience in Managed Detection and Response (MDR), advanced Security Operations, or high-level Technical Support/Incident Response for enterprise infrastructure Proven capability to handle both Application Security (including knowledge of OWASP Top 10 vulnerabilities, L7 WAF, HTTP/S anomalies, Bot mitigation) and Network Security (L3/L4 volumetric DDoS, protocol abuse) Working knowledge of threat frameworks such as MITRE ATT&CK to classify adversary behavior and inform detection and mitigation strategies Operational understanding of internet protocols including TCP, UDP, ICMP, GRE, BGP, DNS, with the ability to quickly diagnose attack fingerprints and infrastructure impact during volumetric DDoS attacks Hands-on experience with packet capture (e.g., tcpdump, Wireshark, tshark) or HTTP traffic inspection (e.g., HAR, Burp Suite) to analyze malicious traffic Extensive experience managing technical communications with enterprise customers during high-stress, active attacks, with the ability to remain calm under pressure and translate complex attack data into clear actionable advice Ability and willingness to work 24x7 rotating shifts to support global operations Knowledge of industry security technologies (e.g., enterprise CDNs, cloud-based DDoS scrubbing centers, Next-Gen WAFs, and edge network firewalls) (Preferred) Proficiency in Linux/Unix environments and strong scripting skills (Bash, Python preferred) for workflow automation (including experience leveraging agentic AI environments or LLMs to optimize operations) and experience interacting with REST APIs or GraphQL to pull and correlate operational data (Preferred) Experience building or querying dashboards in Prometheus and Grafana for performance and attack metrics (Preferred) Highly valued security and networking certifications such as GIAC (e.g., GCIA, GCIH, GCFA, GCFE), Cisco CCNA/CCNP, or equivalent hands-on incident response credentials (Preferred) What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! The Figma Research team is hiring an experienced researcher for our Rapid Research program. We're product builders who bring research expertise to the team, working closely with designers, product managers, and engineers to clarify problems, test ideas, and recommend what to change—often in one- to two-week sprints. You'll rotate across product areas, ramp up quickly, and build relationships as you go, energized by unfamiliar products and ambiguous problems and ready to take initiative rather than wait for a fully scoped brief. You bring strong opinions about what makes a great experience, grounded in the needs of the people using it, spot connections across product areas, and combine deep qualitative and quantitative research expertise with a flexible, resourceful approach to moving quickly without sacrificing rigor. Beyond individual studies, you bring a clear point of view on what to build or change, tailor your communication to your audience, and are willing to challenge assumptions and say the hard thing with care—asking for help when you need it and offering it when others do. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Scope and run focused research in quick sprints, using sound methods to answer the questions most likely to change a product decision Turn findings into specific recommendations a designer or PM can act on, working through tradeoffs and helping the team put them into practice Present product recommendations to cross-functional teams and senior leadership, telling the story behind the data, not just reporting insights Rotate across product areas and teams as needed, building credibility and relationships quickly without being embedded long-term Contribute beyond research studies by using our products, joining design reviews, and helping teams recognize when they have enough information to act Bring clarity to ambiguous problems, challenge assumptions, and adjust the scope or approach as you learn Experiment with tools, templates, and workflows to make research faster and sharper We'd love to hear from you if you have: 7+ years of experience in research at high-growth product organizations, UX/design agencies, or strategic consultancies focused on digital experiences Proficiency in mixed methods research, including qualitative approaches such as interviews and quantitative approaches such as surveys and data analysis Strong product judgment, with examples of specific recommendations you made and how they shaped the product, backed by strong communication and storytelling skills with a track record of securing executive buy-in Experience ramping up quickly on new projects and delivering clear recommendations in one- to two-week research sprints, turning ambiguous problems into clear questions and a practical path forward A scrappy, flexible approach, adapting to changing priorities and tight timelines while maintaining sound research methods, including active use of AI tools to improve speed, quality, or scale While it's not required, it's an added plus if you also have: Proficiency in designing and prototyping, ideally within the Figma suite of tools Familiarity with researching design tools, developer tools, creative software, or other products people use to build things A background in product design, product management, or engineering Ability to combine product analytics with qualitative research to inform recommendations At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $169,000 — $250,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: London Workplace: onsite ABOUT APOLLO RESEARCH Apollo Research is an AI safety organization that works on the detection of scheming (e.g., building evaluations), the science of scheming (e.g., model organisms), and scheming mitigations (e.g., anti-scheming and control). We work closely with multiple frontier AI companies. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can read more here. We're a team of ~35 in London and Europe, we're opening a new office in San Francisco, and we're growing fast. THE OPPORTUNITY The Finance team consists of the Head of Finance and an interim transactional processor. You will be Apollo's second full-time Finance hire, reporting to the Head of Finance. You will own financial operations, accounting, reporting, and compliance. AI is embedded across the business, and Apollo Finance is no different. You will work with the Head of Finance to build a finance function from first principles that scales ahead of the business's growth. You'll be expected to build and leverage AI agents and clean architecture to eliminate, simplify, and automate manual work at scale. There is no legacy finance function to inherit, so you will build your subfunctions from the ground up. This role is suited to someone who is happy to get their hands dirty in the details of the operation, skilled at handling data, and driven to find more effective ways of doing things. The manual processing work should reduce significantly as you and the Head of Finance build out the systems, processes, and controls. Initially, your time will be split between: Day-to-day transactional processing and bookkeeping, replacing the interim processor (50%) Building out new systems, processes, and controls (25%) Eliminating, simplifying, and automating existing processes and controls (10%) Ad hoc work, e.g., monthly close, reporting, and compliance (15%) The team is deliberately lean and uses a sophisticated tech stack. This is not a position where you'll be one of many; you'll have significant exposure and be central to how the function evolves as the business scales, with a clear path to Financial Controller. RESPONSIBILITIES Run day-to-day financial operations (Order-to-Cash and Procure-to-Pay): Process and match supplier invoices, card expenses, and bank receipts and payments Prepare supplier payments Onboard customers and suppliers, keeping their metadata up to date Invoice customers and manage collections Run accounting and reporting (Record-to-Report): Establish a repeatable monthly close, preparing manual journals and accounting judgments on accruals, prepayments, accrued and deferred revenue, payroll, intercompany, and project accounting Prepare supported reconciliations for every balance sheet account, and maintain a quantified risks and opportunities list Produce a monthly pack that ties to the ledger and reads the way operators run the business: P&L, balance sheet, and cash flow, month and year to date; one headline variance against budget; and department and research-versus-commercial views Deliver cash visibility: Prepare the weekly 13-week direct cash forecast, including running scenarios for the Head of Finance and COO Reconcile forecasts to actual bank movements, explain and report variances, and improve the forecasting assumptions week on week Support the Head of Finance in building effective systems, processes, and controls: Eliminate, simplify, and automate manual work, processes, and controls at scale, leveraging AI agents and automation Document critical workflows so they do not depend on one person Manage the finance tech stack, and support the Head of Finance in implementing new systems Manage compliance: Support the Head of Finance in ensuring Apollo complies with relevant laws and regulations across the jurisdictions in which we operate, coordinating with advisors where necessary: statutory accounts, taxes, transfer pricing, R&D tax credits, audits where required, and expenditure responsibility requirements for grants WHAT SUCCESS LOOKS LIKE Build and run a best-in-class finance operation. Support the Head of Finance in building and improving the systems, processes, and controls for the core business cycles (O2C, P2P, R2R) to: (a) capture transactions at source with the right accounting, timing, and metadata; and (b) eliminate, simplify, and automate manual work at scale. Work month on month to reduce the lag between a transaction's economic event and its appearance in the books, and to reduce manual processing hours, baselined in month two. Maintain sales invoice accuracy at 100%, aged debtors below 15 days, and suppliers paid on the due date 100% of the time. Build and run a fast, dependable close. All entities closed to year-end quality every month: working day five within six months of joining, and working day three within nine months. Supported balance sheet reconciliations for all accounts, with a quantified risks-and-opportunities list. No restatements or surprises to the board. Build and prepare reporting that informs and forces decisions. A monthly pack within two months of joining that explains performance across P&L, balance sheet, and cash flow for the month and year to date, with department and research-versus-commercial views. It leads with the most important budget variance and explains what happened, why, and what needs attention. A weekly 13-week direct cash flow forecast, with scenarios, refreshed weekly. Forecast accuracy improves week on week, and within three months of joining the forecast informs and forces the right decisions on liquidity and working capital. Build and run the financial compliance calendar. Covers all relevant laws and regulations across every jurisdiction in which we operate, including R&D tax credits, audits, and expenditure responsibility requirements for grants. Compliance is fully up to date within three months of joining. REQUIREMENTS Sound accounting judgment. You are a qualified accountant (ACA, ACCA, CIMA, or CPA) with at least two years' post-qualification experience at a small, UK company. You reason confidently through cut-off, accrued and deferred revenue, accruals and prepayments, payroll, and project accounting. You know when to ask for specialist advice rather than guess. You are skeptical by default. Personal ownership of a fast close. You have personally (not through a team) run monthly closes end to end to working day five, with supported reconciliations for every balance sheet account. You have personally produced multi-dimensional management accounts (product, channel, region) with variances to budget, built around how operators run the business. Balance-sheet-first mindset. For any account, you can explain what the number is, how it got there, how and when it settles or unwinds, and what happens if it does not. International group experience. You have practical experience of intercompany accounting and consolidation, you have worked with at least one overseas entity (US preferred), and you know UK statutory reporting. Hands-on builder. You have built, materially improved, or repaired a finance process, control, or set of books. You prioritize the material problems. You are a high-agency, first-principles problem solver who can take a problem, break it down logically, and find a solution. You are comfortable making decisions with incomplete information. Fast, accurate transactional processing. You process invoices, card receipts and bills, and cash receipts and payments. Architecture-minded and data-literate. You think in systems, not processes. You are fluent in a cloud ledger (Xero, QuickBooks Online, Campfire, Light, Rillet, or DualEntry) and strong in spreadsheets. You understand how data and workflows fit together. You can validate integrations, imports, mappings, and automated outputs. High standards. You have exceptional attention to detail, integrity, and strong numerical ability. You are tenacious enough to call a customer for the fifteenth time. You communicate clearly with non-finance colleagues. NICE-TO-HAVES 2+ years at a VC-backed or founder-led high-growth scale-up (Series A to C), ideally through a first audit. You know how a young company works. 2+ years in deep-tech, R&D-heavy, or software businesses. You are comfortable with R&D tax credits, grant reporting, capitalization judgments, cloud and compute costs. 2+ years' experience with project or professional services accounting. You are comfortable with subscription, license, or usage-based billing and revenue recognition. Practical experience simplifying and automating processes, controls, and workflows, and implementing AI tooling in a live finance function Experience coordinating UK and US accounting and tax providers. 1+ years' experience with a modern AI-native ERP (Campfire, DualEntry, Rillet, or Light). Demonstrable experience using AI agents and automation daily, as well as deploying them in real finance functions. You are comfortable using no-code tools (n8n, Zapier), MCP, and coding agents. Interest in AI safety and Apollo's mission. You're curious about what we do and why it matters. BENEFITS This role offers market competitive salary and competitive benefits. Salary: £107,000–£145,000 Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to six months of paid parental leave Comprehensive health, dental, and vision insurance Retirement savings with competitive employer matching Lunch, dinner, and snacks are provided on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget LOGISTICS Target start date: Late Q4 2026 to early Q1 2027. We can be flexible to accommodate notice periods. Role type: Full-time Location: In-person at our London office, with flexible hours and some WFH arrangements Reports to: Head of Finance Right to work: Applicants must have the right to work in the UK. We are unable to provide visa sponsorship for this role. HIRING PROCESS Apply using the application form and attach your CV. We review applications on a rolling basis, so we encourage you to apply early. Initial conversation (30 minutes) Take-home assignment (3 hours) Technical interview #1 with the Head of Finance (1 hour) Technical interview #2 with the Head of Finance (1 hour) Interview with the COO (1 hour) Offer and reference checks Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. We adopt a human-centred approach: all resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: Remote Poland, Poland Workplace: remote About the Role At OLX, Design is more than aesthetics, it's how millions of people build trust, discover opportunities, and connect with their communities. As Principal Brand Designer, you'll shape how OLX and its portfolio of brands are experienced across every customer touchpoint. Reporting to the Director of Product Design, you'll define the visual principles, creative systems, and brand standards that unite a diverse portfolio while allowing each brand to express its unique identity. This is a highly strategic, hands-on individual contributor role for someone who combines exceptional craft with systems thinking, influences through expertise, and embraces AI as a catalyst for creativity, consistency, and scale. Working in close partnership with Marketing, Brand Strategy, Product Design, Communications, Employer Brand and regional teams, you'll translate business strategy, customer insights and brand positioning into cohesive creative systems that strengthen brand equity, build customer trust and accelerate high-quality execution across the organisation. You'll establish the creative vision and quality bar for brand design, while building the frameworks, governance and tools that enable teams worldwide to create distinctive, consistent and impactful brand experiences. What you'll own Define the future of OLX’s  Group's brand ecosystem Partnering with the Director of Product Design, Marketing and Brand Strategy, you'll evolve the visual identity and creative direction across OLX Group and its portfolio of brands. You'll ensure our brands feel connected where they should, distinctive where they need to be, and consistently recognisable across every customer touchpoint. Group-wide brand identity systems and visual standards Brand visual identity governance, quality assurance and design principles Multi-brand design systems and asset libraries Creative direction across digital, physical and experiential touchpoints related to brand design (excludes advertising) Long-term evolution of OLX Group's visual identity and assets. Build scalable creative systems powered by AI You'll help define how AI enhances brand design across OLX Group by developing AI-ready design systems, prompt libraries, reusable templates, automation workflows and governance that empower teams to produce high-quality work consistently and efficiently. Rather than replacing creativity, you'll ensure AI amplifies craftsmanship, accelerates production and strengthens consistency while maintaining the integrity of every brand. You'll also stay ahead of emerging technologies, identifying opportunities where AI can improve creative workflows, collaboration and design quality across the organisation. Raise the creative standard across OLX Group As the most senior brand design practitioner, you'll establish the benchmark for the application of brand design across  product launches, executive communications, presentations, employer branding, events, web experiences and marketing initiatives. You'll provide creative direction, thoughtful critique and hands-on design leadership, ensuring every expression of the brand reflects exceptional craft, clarity and purpose. Translate strategy into brand experiences You'll partner closely with Marketing and Brand Strategy from the earliest stages of initiatives, transforming customer insights, research and business priorities into compelling visual systems and brand experiences. You'll contribute strategic thinking—not simply execute briefs, helping teams solve complex business challenges through design that strengthens trust, recognition and long-term brand value. Drive adoption and influence across the organisation Creating great systems is only part of the role, you'll ensure they're embraced. You'll build documentation, enablement programmes, design resources and governance models that help global and regional teams confidently apply OLX Group's brand standards. You'll influence senior stakeholders across Product, Marketing and Executive Leadership, aligning teams around a shared creative vision and ensuring design has a meaningful voice in strategic decision-making. Mentor and elevate the craft As a Principal Designer, your influence extends well beyond your own work. You'll coach designers through critique, mentoring and collaboration, fostering a culture of craftsmanship, systems thinking and continuous improvement. While this isn't a people management role, you'll be recognised as a trusted design leader whose expertise elevates the entire organisation. What we're looking for We're looking for a strategic design leader with exceptional craft, systems thinking and a passion for building brands that scale globally. You create brands that people trust Your portfolio demonstrates outstanding work across visual identity, typography, layout, storytelling, motion and digital experiences. You understand how to create memorable brands—and how to evolve and steward them over time. You think in systems You build frameworks, governance models, templates and design systems that enable organisations to produce consistently exceptional work. You know that the best design creates lasting capability, not just individual deliverables. You bring strategy to life through Design You're comfortable partnering with Marketing, Brand Strategy and executive stakeholders, translating positioning, customer insights and business objectives into creative systems that deliver measurable business impact. You're fluent in AI-enabled Design You already incorporate AI into your creative practice and understand where emerging technologies create value, and where human judgement remains essential. You can translate those insights into scalable workflows that improve quality, speed, experimentation and consistency across teams. You influence without authority You communicate with clarity, build trusted relationships and bring people together around a shared creative vision. You're equally comfortable presenting to executives, collaborating with marketers or mentoring fellow designers. You bring depth of experience You'll likely have: 10+ years of experience in brand design, or visual design Experience building or evolving brands at scale across multiple products or markets Expertise in Figma and/or Adobe Creative Suite Experience with motion design, storytelling, and digital brand experiences Experience building or contributing to enterprise design systems Deep familiarity with AI-powered creative tools and workflows Outstanding communication, presentation, and stakeholder management skills Why join OLX OLX operates some of the world's most recognized online marketplaces, connecting millions of people every day to buy, sell, find jobs, discover homes, and build businesses. As our Principal Brand Designer, you'll have a unique opportunity to shape the future of multiple global brands while defining how AI and design systems work together to create consistent, high-quality brand experiences at scale. This role offers the chance to influence design beyond individual projects to build the frameworks, standards, and creative vision that will guide OLX's brands for years to come. If you're excited by solving complex brand challenges, setting the highest creative standards, and pioneering the future of AI-enabled design, we'd love to hear from you. Hiring Process We believe in a transparent and collaborative hiring process that reflects how we work as a team. Here’s what you can expect: First Stage Portfolio & Design Leadership This is a 90-minute session with the Hiring Manager. We’ll dive deep into your portfolio to assess your design craft, strategic thinking, systems mindset, and collaboration skills. This is also an opportunity to showcase your leadership in design and discuss how you approach complex challenges. Second Stage Multi-Brand Systems & Creative Leadership In this 60-minute session, you’ll meet with a senior leader from the Creative team. We’ll explore your ability to build, evolve, and govern brand systems across a complex multi-brand organization. This stage focuses on your creative leadership and how you ensure consistency and innovation across diverse brands. Third Stage Executive Partnership & Business Impact This 45-minute session is with a senior leader from the Marketing team. We’ll assess your leadership presence, ability to form strategic partnerships with Marketing, and your commercial thinking. This is also a chance to discuss how you drive organizational influence and deliver business impact through brand design. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   Data Process Policy   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: Bangalore - Engineering Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? YOUR MISSION UiPath Automation Suite https://www.uipath.com/product/automation-suite is a cloud native application delivery platform which enables UiPath to deliver the entire UiPath Automation Cloud platform onto on-prem customer data centre of choice (e.g. Cloud, BareMetal, virtualised hardware etc). This is complete containerised platform which heavily uses Kubernetes and CNCF technologies. This platform enables customers to install and run UiPath’s suite of applications on a single server or on hundreds of servers based on their need. WHAT YOU'LL DO AT UIPATH - As a Senior Software Engineer (SDE-3), you will lead development efforts within a team of engineers, driving the entire software development lifecycle—from initial ideation and design to implementation and scaling. You will ensure the software we are delivering is robust, scalable, production-ready and reliable. - Incubate new ideas and create a roadmap for your areas of focus. - You will take lead on analysing complex technical issues, technology choices and communicate them with the team and stakeholders in both written and verbal manner to drive consensus. - Act as a liaison between engineers in the team, product managers and other stakeholders. - Help hire and recruit technical talent, and ensure our technical deliverables meet the customer expectations. - You will be accountable for the software deliverables to meet all requirements of quality, security, scalability, modifiability, extensibility, testability etc. - You will help establish effective and agile engineering practices across our engineering teams. - You will be mentoring and providing technical leadership to a team of engineers. - You will act as a face of the product helping onboard customers/partners and ensuring their continued success. - You will analyse product usage and operational data to help drive systemic improvements across the product. - Adhere to security and compliance standards and work with security and compliance teams to identify and address relevant issues. WHAT YOU'LL BRING TO THE TEAM - Bachelor’s or Master’s degree in Engineering, Computer Science, or equivalent practical experience. - 7+ years of experience in developing large-scale applications. - In-depth knowledge of the CNCF ecosystem, including Kubernetes, its technology stack, and cloud-native tools. - Proficiency in one or more object-oriented programming languages such as Go (preferred), C#, Java, C++, Python, or Rust, with strong computer science fundamentals. - Hands-on expertise in data structures, algorithms, and their real-world applications. - Strong understanding of object-oriented programming, multithreading, synchronization, and cloud-native design. - Advanced knowledge of Linux, CI/CD pipelines (Azure Pipelines, ArgoCD, FluxCD), and microservices architecture. - Experience working with cloud platforms such as AWS, Azure, or GCP. - Proven expertise in building high-availability services, web service development, and service-oriented architectures. - Strong skills in system architecture, design, coding, debugging, and problem-solving. - Passion for delivering exceptional customer experiences, with a strong sense of ownership and accountability. - Proactive, adaptable, and entrepreneurial mindset with a bias for action. - Ability to take initiative, navigate ambiguity, and drive impactful results. - Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. Nice to Have: - Expertise in writing Kubernetes controllers and operators to manage and extend Kubernetes functionality. - Experience building multi-tenant SaaS environments. - Familiarity with LLMs and leveraging Generative AI to accelerate application development. If you enjoy building software with a broad range of modern technologies and being part of a smart, agile team that is motivated by solving hard business problems with technology, come join us! Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: Zurich, Switzerland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability. You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model- and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads. Your responsibilities Own optimization projects for specific model families, customer endpoints, or serving backends. Compare inference engines and recommend serving configurations suited to individual workloads. Diagnose model-quality and performance regressions during production rollouts. Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token. Deploy, configure, benchmark, and extend engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo. Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery. Implement or integrate speculative decoding, draft-model approaches, KV-cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill–decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture. Design and improve LLM request routers and scheduling policies that balance worker utilization, queueing, request characteristics, and KV-cache locality while meeting latency and reliability targets. Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism—including wide expert parallelism (WideEP)—with attention to hardware topology, expert load balance, and communication overhead. Build reproducible benchmark harnesses measuring TTFT, TPOT, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets. Collaborate with GPU kernel and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers. Produce design documents, performance reports, rollout plans, and customer-facing technical explanations. Must-haves Strong engineering skills in Python and PyTorch. Hands-on experience deploying or optimizing LLM, VLM, or high-throughput transformer inference. Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system. A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving. Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost. Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism. Strong communication and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice-to-haves Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. Experience supporting agentic workloads involving tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate’s primary specialization. Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe. Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance. Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, InfiniBand, or RoCE. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Amsterdam, Netherlands; Berlin, Germany; Israel; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Senior Machine Learning Engineer on the Applied AI team at Nebius Token Factory, you will own model and endpoint optimization from model artifacts through production deployment. Your work will span model internals, quantization and model compression, speculative decoding, KV-cache optimization, inference engines, serving architecture, and benchmarking to improve latency, throughput, memory efficiency, GPU utilization, and cost per token while preserving quality and reliability. You will work with kernel and platform engineers to investigate serving problems, compare configurations, and resolve performance and quality regressions. You will evaluate model- and engine-level optimizations together with distributed inference designs, including request routing, scheduling, prefill/decode coordination, and multi-node GPU execution. Your improvements will be validated through reproducible benchmarks and safe production rollouts under real-world workloads. Your responsibilities Own optimization projects for specific model families, customer endpoints, or serving backends. Compare inference engines and recommend serving configurations suited to individual workloads. Diagnose model-quality and performance regressions during production rollouts. Improve LLM and VLM endpoint latency, throughput, memory efficiency, GPU utilization, quality, and cost per token. Deploy, configure, benchmark, and extend engines such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, and NVIDIA Dynamo. Develop production model-compression workflows covering quantization, quantization-aware training, distillation, low-bit serving, and accuracy recovery. Implement or integrate speculative decoding, draft-model approaches, KV-cache optimization, prefix caching, chunked prefill, continuous batching, and disaggregated prefill/decode serving. For prefill–decode disaggregation (PDD), evaluate KV-cache transfer, worker placement, and capacity balancing to determine which workloads benefit from the architecture. Design and improve LLM request routers and scheduling policies that balance worker utilization, queueing, request characteristics, and KV-cache locality while meeting latency and reliability targets. Scale dense and mixture-of-experts inference across multiple GPU nodes. Select and tune tensor, pipeline, data, and expert parallelism—including wide expert parallelism (WideEP)—with attention to hardware topology, expert load balance, and communication overhead. Build reproducible benchmark harnesses measuring TTFT, TPOT, tokens per second per GPU, p95/p99 latency, GPU memory, reliability, and cost per token. Validate architecture choices under representative traffic and consistent GPU budgets. Collaborate with GPU kernel and platform engineers to trace bottlenecks across model code, kernels, runtime, scheduler, gateway, and cluster layers. Produce design documents, performance reports, rollout plans, and customer-facing technical explanations. Must-haves Strong engineering skills in Python and PyTorch. Hands-on experience deploying or optimizing LLM, VLM, or high-throughput transformer inference. Practical knowledge of at least one modern inference stack, such as vLLM, SGLang, TensorRT-LLM, Triton Inference Server, NVIDIA Dynamo, Ray Serve, KServe, or an equivalent internal system. A strong understanding of transformer inference bottlenecks involving KV cache, attention, memory bandwidth, batching, parallelism, and long-context serving. Ability to quantify trade-offs among latency, throughput, quality, utilization, and cost. Experience designing or optimizing distributed inference system architecture, with hands-on work in one or more areas such as request routing, distributed scheduling, PDD, multi-node inference, or expert parallelism. Strong communication and collaboration skills across research, kernel, infrastructure, product, and customer teams. Nice-to-haves Experience with quantization-aware training, post-training quantization, FP8, INT8, INT4, NVFP4, MXFP4, AWQ, GPTQ, or SmoothQuant. Experience with distillation, speculative decoding, EAGLE, Medusa, multi-token prediction, or related inference acceleration methods. Experience supporting agentic workloads involving tool calling, structured outputs, streaming APIs, high concurrency, and multi-step orchestration. Familiarity with CUDA or Triton; the role does not require kernel engineering to be the candidate’s primary specialization. Contributions to open-source projects such as vLLM, SGLang, TensorRT-LLM, FlashInfer, LMCache, PyTorch, Triton, Ray, or KServe. Implementation experience with cache-aware request routing, PDD, or WideEP, including diagnosing communication bottlenecks and load imbalance. Familiarity with GPU communication libraries and interconnects, such as NCCL, NVLink, InfiniBand, or RoCE. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Taiwan (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows. We are seeking experienced native-speaking software engineers to design, build, and validate these benchmarks. You will create high-signal, high-quality tasks that genuinely test a model's ability to handle multilingual environments without relying on English translation crutches. Note this is a remote, freelance opportunity WHAT YOU’LL DELIVER - Task Engineering: Evaluating Coding Agents. - Asset Creation: Build realistic task environments using datasets and files in your native language. Crucially, these assets must remain in the target language to genuinely measure multilingual handling. - Prompting & Translation: finding failure points where AI does not work, in your native language - Implementation & Verification: Support the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary). - Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Sonnet, Opus). - Quality Assurance: Participate in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity. QUALIFICATIONS - Experience: 1+ years of industry experience in software engineering. - Background: Proven track record at leading technology companies and/or graduation from top-tier engineering universities. - Language: Native or near-native fluency, with a deep understanding of its grammar, register, and phrasing rules. High English proficiency. - Technical Stack: Strong proficiency in Python, standard shell scripting, and data processing. - Workflow: Extensive experience with Terminal/CLI-based development workflows and a working familiarity with coding agents. - Domain Expertise: Deep technical understanding of multilingual text processing pitfalls, including: - Encoding/decoding robustness and Unicode normalization. - Locale-dependent conventions (collation, casing, non-Gregorian dates). - Text I/O, toolchain interoperability, and safe string operations. - (For specific languages) Bidirectional/RTL handling, font fallbacks, and rendering/typography in UI or artifacts. WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 15-20 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY 1 - Submit your application including an updated copy of your CV in English 2 - Next, complete a GenAI assessment to evaluate your skills 3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Location: Hong Kong (Remote) Workplace: Remote ABOUT THE OPPORTUNITY We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows. We are seeking experienced native-speaking software engineers to design, build, and validate these benchmarks. You will create high-signal, high-quality tasks that genuinely test a model's ability to handle multilingual environments without relying on English translation crutches. Note this is a remote, freelance opportunity WHAT YOU’LL DELIVER - Task Engineering: Evaluating Coding Agents. - Asset Creation: Build realistic task environments using datasets and files in your native language. Crucially, these assets must remain in the target language to genuinely measure multilingual handling. - Prompting & Translation: finding failure points where AI does not work, in your native language - Implementation & Verification: Support the development of robust solutions (reference implementations) and write highly reliable, deterministic verifier scripts (using rubric-based judging only when strictly necessary). - Calibration & Execution: Analyze execution logs and calibrate task difficulty (Easy to Very Hard) using standard Terminal-Bench run configurations against various model tiers (Haiku, Sonnet, Opus). - Quality Assurance: Participate in a rigorous, 4-layer human quality control process (creation, human review, calibration review, and audit) alongside automated LLM-based checks to ensure fairness, grammatical accuracy, and benchmark integrity. QUALIFICATIONS - Experience: 1+ years of industry experience in software engineering. - Background: Proven track record at leading technology companies and/or graduation from top-tier engineering universities. - Language: Native or near-native fluency, with a deep understanding of its grammar, register, and phrasing rules. High English proficiency. - Technical Stack: Strong proficiency in Python, standard shell scripting, and data processing. - Workflow: Extensive experience with Terminal/CLI-based development workflows and a working familiarity with coding agents. - Domain Expertise: Deep technical understanding of multilingual text processing pitfalls, including: - Encoding/decoding robustness and Unicode normalization. - Locale-dependent conventions (collation, casing, non-Gregorian dates). - Text I/O, toolchain interoperability, and safe string operations. - (For specific languages) Bidirectional/RTL handling, font fallbacks, and rendering/typography in UI or artifacts. WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful.We are building a rigorous, verifiable evaluation suite of Terminal-Bench tasks designed to test the limits of large language models on multilingual software challenges. Our goal is to measure multilingual robustness across prompt language effects, non-English data processing, and complex locale/encoding edge cases in terminal workflows. WHAT TO CONSIDER BEFORE APPLYING - Not ideal as a full time job or primary income source. Work availability fluctuates with project demand, making this better suited as a supplemental income stream. As a 1099 contractor, you won't receive benefits such as health insurance, paid time off, or retirement contributions, and hours are not guaranteed. - Requires reliable availability and commitment. Once you accept a task, we expect quality work and on-time delivery. Most tasks require a minimum of 2 hours per day or 15-20 hours per week. If your schedule is unpredictable, this may not be the right fit. - Geographic restrictions may apply. We cannot engage contractors in regions subject to international embargo or sanctions. As a 1099 contractor, you are solely responsible for your own tax obligations. We recommend consulting a tax professional before engaging. HOW TO JOIN OUR EXPERT COMMUNITY 1 - Submit your application including an updated copy of your CV in English 2 - Next, complete a GenAI assessment to evaluate your skills 3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

Zscaler is looking for an Account Executive based in Chicago to join their Sales and Go-to-Market team, reporting to the Regional Director. The role involves building relationships with important internal and customer stakeholders, including c-suite decision-makers; creating a long-term account strategy aligned with customer goals; collaborating with teams to meet customer needs and contribute to account planning; and being a trusted advisor by understanding client businesses and aligning Zscaler solutions with their goals. Minimum qualifications include demonstrated curiosity and active exploration of AI tools with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving, 2+ years of full-cycle sales experience within the software or security industry, a Bachelor’s degree or equivalent experience, and progressive selling experience engaging with accounts. Preferred qualifications include established relationships with current and prospective customers with a deep understanding of how technology facilitates high-level business goals, proficiency in strategic sales planning with a proven track record of closing net new logos, and experience meeting or exceeding sales targets through the effective use of channel partnerships. The salary range for this full-time position is $90,300 to $129,000 USD per year, excluding commission, bonus, equity, and benefits. Benefits include various health plans, time off plans for vacation and sick time, parental leave options, retirement options, education reimbursement, in-office perks, and more. The position supports a hybrid working model with remote work options. Zscaler is committed to equal employment opportunities and fostering an inclusive environment that values all backgrounds and perspectives. The company complies with all applicable pay transparency rules and provides reasonable accommodations in recruiting processes for candidates with diverse needs. By applying, candidates adhere to applicable laws, regulations, and Zscaler policies related to security and privacy standards.

Location: Remote: India About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. As our Senior Enterprise Account Executive, you will partner with executive leadership at top Indian organisations to unlock the power of data and AI using Neo4j’s industry-leading data intelligence platform. Why Top Revenue Leaders Choose Neo4j Category Creator & Market Leader: Backed by over $600M in funding ($325M Series F) at a $2B+ valuation, with $200M+ in ARR. Proven ROI: A recent Forrester Total Economic Impact™ study showed a 417% ROI for Neo4j customers. Enterprise Dominance: Trusted by 84% of the Fortune 100, including premier global financial services providers. The AI Wave: Neo4j sits at the center of the next major enterprise shift: combining Knowledge Graphs with LLMs (GraphRAG) to eliminate AI hallucinations in mission-critical environments. What You’ll Do Grow the India Market: Lead strategic account planning and execution across a high-value portfolio of large enterprise customers alongside high-growth greenfield prospects. Drive High-Impact Sales Cycles: Execute value-based, consultative sales strategies (MEDDPICC) across C-level, Line-of-Business, and Chief Data/AI Officer stakeholders. Land & Expand: Balance hunting new enterprise logos with driving workload expansion within established accounts—scaling adoption into new business units and high-value use cases. Partner with Cloud Ecosystems: Co-sell and align strategic account plans with local hyperscaler ecosystems (AWS, Microsoft Azure, Google Cloud) and Global Systems Integrators (GSIs). Orchestrate High-Performance Squads: Align internal Pre-Sales Engineering, Field Marketing, and Customer Success resources to qualify, scope, and deliver impactful Proofs of Value (POVs). Maintain Sales Rigor: Drive predictable forecasting and pipeline hygiene within Salesforce.com. What You’ll Bring Location Requirement: This role is only open to candidates based in Mumbai as you will be required to regularly meet with customers and partners located there. 10+ years of enterprise software sales experience, with a direct focus on selling complex data platforms, cloud infrastructure, analytics, or enterprise software into the India market. Proven track record of exceeding quotas and closing multi-year enterprise deals ($500k–$1M+ ACV) into major customers. Methodology mastery & expertise in structured sales frameworks (MEDDPICC, Challenger, Command of the Message) navigating complex multi-stakeholder deals. Strong existing relationships across C-suite executives, enterprise data architects, and line-of-business owners across large enterprise customers. Preferred Experience Experience selling modern cloud-native database platforms, distributed systems, analytics infrastructure, or AI/ML technologies. Experience co-selling alongside public cloud providers (AWS, Azure, GCP) and major consulting partners in India. Willingness to travel to meet with customers, partners and teams as required. Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid At Xero, we’re here to supercharge small businesses. By making small business more efficient every day, connecting them with big business technology and empowering a community behind them, their potential is limitless. When that happens, we’re not only helping small business, we’ll be building a stronger economy that can change the world.At Xero, we’re here to supercharge small businesses. By making small business more efficient every day, connecting them with big business technology and empowering a community behind them, their potential is limitless. When that happens, we’re not only helping small business, we’ll be building a stronger economy that can change the world. THE ROLE & TEAM Product Data Science & Engineering is a portfolio team within Product & Technology. Partnering across Product, Engineering, Design, Marketing, and Commercial leadership, we set Xero’s data science strategy across broad product areas and operate in an AI-native way—using AI to transform how we work, not just what we ship. The team co-own Xero's metrics stack, experimentation strategy, and enterprise data architecture and builds AI-powered customer experiences including the Jax chatbot and agentic workflows—in partnership with Anthropic, OpenAI, and Google. They also lead AI measurement and productionisation. We work in an AI-native way. That means AI changes how data science itself gets done here, not just what we ship. This is a new strategic leadership role created to scale Xero's data science and AI capabilities. You will take full ownership of the data science, analytics, ML, and AI strategy and execution across Accounting & Bookkeeping, Small Business, and AI products. This role combines strategic product vision (including Jax, agentic workflows, and AI-powered features) with platform thinking across the metrics stack, experimentation, data quality, and governance, driving enterprise-level impact across every product team. WHAT YOU’LL DO - You will translate company-level objectives into strategic sub-objectives across analytics, ML, AI products, and experimentation, elevating both the quality of decisions and the leverage Xero gains from its data and AI investments. - Lead, mentor, and grow a team of data scientists, analytics engineers, ML engineers, and managers, scaling the function from ~12 to ~30. - Design team structures and operating models that preserve high throughput across multiple locations and time zones. - Operate as an AI-native leader, driving how AI changes how data science operates and ships value across Xero. - Act as the primary data partner to Product & Technology, advising C-suite and SLT on data utilization, retention strategy, new data domains, and AI investment decisions. - Represent data science in executive forums and partner with Product, Engineering, Design, Marketing, Commercial, Legal, Privacy and Risk on strategy, prioritisation and governance. - Own AI governance, model risk, data quality, privacy posture, and experimentation integrity across the portfolio, ensuring company-wide compliance and integrity. - Drive behavioral, technical, and cultural standards across the vertical. Own and improve global hiring practices, build talent maps, and coach senior leaders and individual contributors to raise the bar across Xero. - Proactively identify delivery and strategic risks, designing robust organizational processes that yield consistent, high-quality outcomes for Xero. WHAT YOU’LL BRING WITH YOU We welcome candidates from analyst, scientist, engineer, or AI/ML-focused backgrounds—a linear data science career is not required. What matters most is that you have operated, shipped, and led at scale within a fast-paced technology environment. As a self-starter and executive partner, you will shape and lead strategic agendas alongside C-suite and senior leadership, driving throughput across multi-location, global teams. You excel at bringing structure to complex cross-functional challenges, managing ambiguity, and maintaining a strong "Xero-first" mindset focused on delivering strategic value and accountable execution. - Ability to act as a proactive self-starter and executive partner, shaping strategic agendas with C-suite and SLT, presenting to board-level leadership, and influencing key investment decisions. - Proven ability to manage ambiguity, bring structure to complex cross-functional challenges, sustain throughput across multi-timezone teams, and hold stakeholders accountable to a "Xero-first" standard. - Skilled in leading managers, coaching leaders into senior roles, developing high-performing teams, and constructively escalating strategic risks when necessary. - Experienced in navigating teams through significant scale-ups, operating model transformations, and continuous evolution in fast-paced environments. - Practical experience leveraging frontier-model platforms (e.g., Anthropic, OpenAI, Google) to build agentic workflows, chatbots, and AI-powered products, as well as transforming team operating models using AI workflows. - Substantial experience leading data science, ML, or analytics functions, with a proven track record of managing other people leaders across multi-team structures. - Extensive experience building and running enterprise-scale data science functions, AI/ML productionisation, AI governance, model risk frameworks, and experimentation integrity. - Deep technical fluency across applied ML, analytics engineering, instrumentation, eventing, and schema governance, with a strong engineering mindset focused on building scalable platforms and reusable architectures. - Prior exposure to SaaS or small business segments, with a track record of driving scale, data quality, and privacy compliance. - Technical bachelor's or master's degree (PhDs welcome for applied, high-impact organizational challenges), supported by public thought leadership or open-source contributions in data or AI. WHERE AND HOW YOU CAN WORK This role is based in Sydney or Melbourne with a flexible hybrid working setup, spending 1 to 2 days per week in the local office to connect and collaborate. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.