Вакансии

Задачи: — Владение продуктовым бэклогом от идеи до анализа после релиза — Приоритизация функций на основе данных и измеримого влияния — Проектирование экспериментов, проведение A/B тестов и анализ результатов — Работа с торговыми механиками: кредитное плечо, маржа, стоп-аут, исполнение и сроки истечения — Формирование дорожной карты продукта в регулируемых и оффшорных средах Требования: — Опыт 3+ года в роли Product Manager/Product Owner в трейдинге, брокерской деятельности или финтехе — Глубокое понимание торговых инструментов и их механик — Опыт работы с пользовательскими средствами и финансовыми продуктами — Умение самостоятельно анализировать продуктовые данные с использованием SQL или BI инструментов — Практический опыт A/B тестирования и сильный ориентир на данные — Свободное владение русским и английским языком на уровне B2+ Плюсом будет: — Опыт работы с MT5 или собственными торговыми платформами — Опыт работы в регулируемой среде — Опыт запуска нового продукта или финансового инструмента с нуля Условия: — Гибридный формат работы: 3 дня в неделю в офисе — Локация: Лимассол / Ларнака, Кипр

Delivery Hero — сервис доставки еды, работающий в 70+ странах мира. Размер команды — 10 000+ | Компания оценивается в $8B+. Задачи и требования в тексте не указаны. Помогают с релокацией.

Location: Chicago, Illinois Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Implementation is an activity every Fin customer experiences, whether purchasing Fin for the first time, expanding Fin use to a new team, or adopting new features! As a Partner Services Manager at Fin, you’ll share ownership of this crucial process alongside our Service Delivery Partners. Your primary responsibility is ensuring customers implement Fin’s suite of AI tools to solve their most complex problems and ultimately drive incredible value for their business. Partner Services Managers have an outsized impact on the company. If you want to help make business personal for our customers and you want to work with an ever growing and changing team, you’re in the right place! What will I be doing? You will act as the Fin owner of partner-delivered services projects and the liaison who ensures that Services Delivery Partners have a good experience working with Fin You will onboard and certify new Service Delivery Partners on Fin's product, methodology, and delivery standards, and continually uplevel existing partners as our product and best practices evolve You will enable partners to facilitate discovery of complex customer objectives and requirements and help translate them to items included in our deployment plans You will enable partners to execute tailored AI-first customer service strategies based on customer goals and drive product adoption of our AI features You will work closely with our Partners to help drive success by exceeding portfolio KPIs (Partner CSAT, Fin Outcomes, Escalation Rate, and Project Management Compliance) You will own escalation and risk communication for at-risk projects — driving intervention and solutions while keeping Deployment Services and Sales leadership informed of status and path to resolution You will drive the overall efficiency of our Services Delivery Partner operations You will partner with the rest of the Deployment Services team, the Sales team, and the Customer Success team to deliver the best possible experience for new clients You’ll collaborate with our Customer Support and R&D teams to help coordinate resolution of issues, potential defects, and provide detailed product feedback around feature enhancements You will drive a Quarterly Business Review with each service partner to ensure we are tracking towards stated goals What skills do I need? 6+ years of work experience, with 4+ year(s) in an Implementation Manager role Technical Fluency: comfortable with core SaaS and AI concepts (APIs, integrations, LLM basics, automation logic) — enough to speak credibly with technical partner teams Positivity and Engagement: A genuine interest in the work you do and a positive attitude! Curiosity: a passion for learning, for technology, and for solving problems Training: the ability to make complex topics simple to understand Rapport Building: comfortable working with customers and consultants via video calls Adaptability: change is constant and the Deployment Services Team values experimentation to find the best processes and solutions Demonstrate the Fin Values: Customer Obsessed, Success First, Incredibly High Standards, Open Mindedness, Resilience, Impatience, Positive and Optimistic Bonus skills & attributes Experience training on SaaS products or specifically, experience with Fin Experience with AI Agents and / or Large Language Models Past experience managing projects delivered by Consulting Firms Past experience in Customer Success, Support, Sales Engineering, Consulting Great examples of self started projects with measurable success Experience with RESTful API Integrations *Proof of eligibility to work in the United States is required. The base salary range for candidates within the Greater Chicago Area is $139,300-$166,400. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Implementation is an activity every Fin customer experiences, whether purchasing Fin for the first time, expanding Fin use to a new team, or adopting new features! As a Partner Services Manager at Fin, you’ll share ownership of this crucial process alongside our Service Delivery Partners. Your primary responsibility is ensuring customers implement Fin’s suite of AI tools to solve their most complex problems and ultimately drive incredible value for their business. Partner Services Managers have an outsized impact on the company. If you want to help make business personal for our customers and you want to work with an ever growing and changing team, you’re in the right place! What will I be doing? You will act as the Fin owner of partner-delivered services projects and the liaison who ensures that Services Delivery Partners have a good experience working with Fin You will onboard and certify new Service Delivery Partners on Fin's product, methodology, and delivery standards, and continually uplevel existing partners as our product and best practices evolve You will enable partners to facilitate discovery of complex customer objectives and requirements and help translate them to items included in our deployment plans You will enable partners to execute tailored AI-first customer service strategies based on customer goals and drive product adoption of our AI features You will work closely with our Partners to help drive success by exceeding portfolio KPIs (Partner CSAT, Fin Outcomes, Escalation Rate, and Project Management Compliance) You will own escalation and risk communication for at-risk projects — driving intervention and solutions while keeping Deployment Services and Sales leadership informed of status and path to resolution You will drive the overall efficiency of our Services Delivery Partner operations You will partner with the rest of the Deployment Services team, the Sales team, and the Customer Success team to deliver the best possible experience for new clients You’ll collaborate with our Customer Support and R&D teams to help coordinate resolution of issues, potential defects, and provide detailed product feedback around feature enhancements You will drive a Quarterly Business Review with each service partner to ensure we are tracking towards stated goals What skills do I need? 6+ years of work experience, with 4+ year(s) in an Implementation Manager role Technical Fluency: comfortable with core SaaS and AI concepts (APIs, integrations, LLM basics, automation logic) — enough to speak credibly with technical partner teams Positivity and Engagement: A genuine interest in the work you do and a positive attitude! Curiosity: a passion for learning, for technology, and for solving problems Training: the ability to make complex topics simple to understand Rapport Building: comfortable working with customers and consultants via video calls Adaptability: change is constant and the Deployment Services Team values experimentation to find the best processes and solutions Demonstrate the Fin Values: Customer Obsessed, Success First, Incredibly High Standards, Open Mindedness, Resilience, Impatience, Positive and Optimistic Bonus skills & attributes Experience training on SaaS products or specifically, experience with Fin Experience with AI Agents and / or Large Language Models Past experience managing projects delivered by Consulting Firms Past experience in Customer Success, Support, Sales Engineering, Consulting Great examples of self started projects with measurable success Experience with RESTful API Integrations *Proof of eligibility to work in the United States is required. The base salary range for candidates within the San Francisco Bay Area is $154,800-$184,900. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Ireland; London, England, United Kingdom About the Job: The Customer Success Manager reports directly into the regional CS leader and represents LaunchDarkly as the direct point-of-contact with our customers post-sales. They are LaunchDarkly subject-matter experts guiding our new and expanding customers towards implementation and adoption and helping them achieve their desired use-cases and realize value. The best candidate for this role will be passionate about customer success with a keen interest in software development and DevOps, balanced with a strong sales acumen. In LaunchDarkly GTM, we are all customer-obsessed and striving for massive year over year growth. Responsibilities: Customer Onboarding: You will shepherd in new customers from the sales handoff through successful activation in the product. This includes building out success plans to get customers up to speed in the platform, project management through onboarding, helping customers leverage the most appropriate enablement paths and assessing customer’s adoption on an ongoing basis. Risk Identification and Mitigation: You’ll work to proactively identify and diagnose risk inhibiting adoption or that may cause churn and contraction. You’ll own building a risk mitigation strategy and coordinating across the account team to effectively steer the customer to success. Technical Guidance: You’ll maintain a deep level of LaunchDarkly product knowledge and be expected to provide customers with direction on implementation and adoption best practices. Prescriptively Sell: You maintain a pulse on how our customers are tracking against their key goals and outcomes identifying opportunities for customers to purchase additional products, services and adopt new features needed for them to maximize the value of our solution. Trusted Advisor: You understand your customers like no other and have built enough trust to act as an extension of their team. You provide prescriptive guidance to customers to help them get the most out of their LaunchDarkly purchase. Build Champions & Executive Relationships: You are an expert champion builder. You consistently work to identify & support key advocates within your customers’ organization who actively promote the value of LaunchDarkly. In partnership with your Champion, you’re able to leverage success metrics & value driven insights to gain sponsorship at an Executive level. Renewal and Expansion focused: You are comfortable owning a number and forecasting on a weekly basis. You will work directly with customers, sales and deal desk to execute renewal agreements on time and to identify expansion opportunities within your accounts About You: Entrepreneurial and Self-Motivated: You are driven and proactive, taking ownership of your role and responsibilities. You operate with a high level of urgency at all times. You thrive in a fast paced, start-up environment. Passion for Learning and Growth: You are enthusiastic about continuous learning and personal development at LaunchDarkly. You view feedback as a necessity for growth so consistently seek it out and give it. Intellectual Curiosity: You have a hunger for knowledge and are naturally a question-asker. Excellent Communication: Your written and spoken communication skills are outstanding. Organized & Autonomous: You are capable of efficiently managing your workload and have a process for time management. You do not require a lot of external direction to prioritize your work. Highly Adaptable: You excel in a fast-paced and dynamic organizational setting. Strong Sales Acumen: You have a high level of sales acumen, strong negotiation skills and are eager to own a number. This is a commercially focused CS organization. Natural Problem Solver: You have strong critical thinking skills and enjoy the process of solving complex customer problems. You are able to escalate issues when necessary in a clear, effective manner. Team Player: You collaborate well with others, know when to pull specialists or leaders in and keep others informed proactively. Win as a team! Qualifications: 5+ years in a customer-facing role, ideally in account management, customer/partner success or onboarding/implementation with a track record of exceeding targets. Experience owning the renewal process and being held accountable to a retention quota. This is a commercially oriented Customer Success team. Strong discovery and qualification skills; training in Command of the Message, MEDDIC or another sales methodology is preferred. Strong project management skills. You should have experience holding customers and cross-functional teams accountable to a timeline. Experience working on a technical product, ideally interacting with developers or other technical personas as your primary customer. Experience within the DevOps space preferred. Experience with both proactive and reactive customer success motions. We will teach you all about LaunchDarkly, but you should have an existing level of technical knowledge and know-how. Proven ability to advocate for both your customers and your company. You know how to be the voice of the customer in the company while mediating between the customer's requests and the company's vision. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @ launchdarkly.com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: Vilnius 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: 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.

Задачи: — монтировать и анимировать концертные ролики; — создавать отчётные видео, промо и видеоприглашения; — анимировать афиши и key visual; — адаптировать материалы под наружные LED-экраны; — создавать динамичный контент для Reels, Stories и Shorts; — работать одновременно с графикой, анимацией и готовым видео. Требования: — опыт в event-, концертной или музыкальной индустрии; — уверенный After Effects; — уверенный Premiere Pro; — сильное чувство ритма; — хорошее понимание композиции и типографики; — высокий визуальный уровень; — обязательный шоурил. Знание Cinema 4D или Blender будет большим преимуществом.

Location: Portugal 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: Boston, MA Workplace: OnSite SENIOR DIRECTOR OF PRODUCT, HEALTHCARE At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking a Senior Director of Product, Healthcare to lead the strategy, development, and growth of healthcare products and experiences that continues to build on our strategy of personalized health. You will build and grow the Healthcare Product team while partnering across Product, Design, Clinical Science, Regulatory Affairs, Engineering, Data Science, and Commercial teams to translate physiological data, machine learning capabilities, and clinical insights into meaningful healthcare experiences. You will play a critical leadership role in identifying high-impact opportunities, bringing evidence-based products from concept through launch and scale, and helping establish WHOOP as a leader in digital health. RESPONSIBILITIES: - Define and execute the product strategy and roadmap for the WHOOP healthcare portfolio, translating broader company and Consumer Product priorities into clear investments, product initiatives, and measurable outcomes. - Build, lead, and significantly scale a high-performing Healthcare Product team, developing product leaders and establishing the operating rhythms, capabilities, and culture needed to support a growing portfolio. - Partner closely with leaders across Clinical Science, Data Science, Regulatory Affairs, Engineering, Design, Corporate Strategy and Commercial teams to bring evidence-based healthcare products and experiences from concept through launch and scale. - Identify, evaluate, and prioritize opportunities across areas such as preventive health, clinical monitoring, chronic condition management, digital biomarkers, personalized health insights, and healthcare provider solutions, balancing member value, clinical impact, feasibility, and business opportunity. - Drive product decisions through a combination of scientific evidence, member and customer insights, market analysis, healthcare economics, product data, and business impact, while establishing clear frameworks for measuring engagement, clinical utility, adoption, retention, and financial performance. - Ensure healthcare product strategies appropriately incorporate regulatory requirements, clinical evidence expectations, privacy considerations, and quality standards while representing the healthcare product vision with internal leaders and external healthcare stakeholders. QUALIFICATIONS: - 12+ years of product management experience, including substantial leadership experience building and scaling products within digital health, healthcare technology, medical devices, health platforms, or related industries. - Demonstrated success developing and scaling healthcare or health-focused products that deliver measurable consumer, clinical, and business outcomes. - Experience building, managing, and developing high-performing product teams, including leading product leaders and growing organizations through periods of significant expansion. - Strong understanding of healthcare ecosystems and business models, including experience working with relevant stakeholders such as providers, payers, employers, health systems, or other healthcare organizations. - Experience developing products within regulated or clinically oriented environments, with familiarity across areas such as clinical evidence generation, healthcare data, privacy, regulatory requirements, and quality processes. - Proven ability to set product strategy while remaining close to execution, navigate ambiguity, prioritize across a complex portfolio, and influence senior cross-functional stakeholders without relying on direct authority. - Exceptional communication, strategic thinking, and business acumen, with the ability to translate complex scientific, clinical, technical, and commercial considerations into clear product decisions and organizational alignment. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $230,000 - $270,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements. Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Задачи: — разработка внутри компании в направлении электронных торговых площадок (B2B/B2G закупки) — работа с большими данными, высоконагруженными и распределенными системами Требования: — опыт на .NET от 3 лет, из них 2+ года на позиции Senior — системное мышление, умение видеть архитектуру целиком — готовность брать ответственность за решения — опыт построения распределенных и отказоустойчивых систем (Microservices) — понимание CQRS + Mediator — уверенное владение PostgreSQL (оптимизация запросов, индексы, транзакции, изоляция, партиционирование, шардирование) — опыт работы с NoSQL (Redis) — опыт работы с EF — продвинутый опыт работы с RabbitMQ (получатели, продюсеры, обменник, очереди) — коммерческий опыт с RabbitMQ и PostgreSQL обязателен — будет плюсом: опыт работы с ЕИС, понимание специфики ЭТП, использование AI/LLM в продакшене Условия: — формат работы: офис в Москве (ст.м. Киевская или Фрунзенская), график 5/2, 09:00–18:00 или 10:00–19:00 — после испытательного срока 1 день удалённой работы в неделю — оформление по ТК РФ — зарплата от 300 000 до 350 000 ₽ на руки, выплаты 2 раза в месяц — бонусы: IT-аккредитация, выдача техники, подключение к ИИ-сервисам, обучение, возможность карьерного роста Дополнительно: — не рассматривают релокантов, нужны жители Москвы

Задачи: — Создавать персонажей, объекты, окружение и другие игровые арты в cartoon / stylized стилистике — Работать от идеи и референсов до финального арта — Точно попадать в существующий визуальный стиль проекта и поддерживать его консистентность — Прорабатывать композицию, цвет, свет, форму и детали — Дорабатывать арты по обратной связи Art Director — Взаимодействовать с другими художниками и командой проекта — Использовать AI-инструменты для ускорения работы, при этом самостоятельно рисовать и качественно дорабатывать результат руками Требования: — Уровень Senior / Lead — Сильное портфолио с коммерческими cartoon / stylized работами — Умение рисовать с нуля, а не только работать с AI-генерациями — Сильная база: композиция, цвет, свет, перспектива и анатомия — Умение быстро адаптироваться под разные визуальные стили — Уверенное владение Photoshop или аналогичными инструментами — Опыт в GameDev / игровой индустрии будет большим плюсом — Самостоятельность, внимание к деталям и адекватное отношение к обратной связи — Для Lead-позиции важен опыт ведения художественного направления, контроля качества арта и работы с другими художниками.

Задачи: — Проектировать сервисы и взаимодействия между ними для non-custody карточного продукта. — Прорабатывать требования, системные flow, API и интеграции. — Находить технические ограничения и обсуждать решения с разработкой. — Вести фичи от бизнес-запроса до запуска, участвовать в коммуникации с партнёрами. Требования: — Senior-уровень: самостоятельность, ответственность за решения и опыт доведения задач до прода. — Практический Web3/on-chain опыт: смарт-контракты, кошельки, движение средств в блокчейне. — Опыт проектирования сервисов, понимание sync/async-взаимодействий и обработки сбоев. — Умение самостоятельно разбираться в API, коде и логах. — Использование AI с проверкой результата и понятной документацией. — Русский и английский от B2 — обязательны. Будет плюсом: опыт non-custody криптокарт, карточного процессинга, KYC/Sumsub и запуска партнёрских интеграций. Условия: — Полностью удалённо. — Небольшая команда, прямое взаимодействие с CTO и Product Owner, собственная зона ответственности с первых задач. — Быть на связи нужно с 10:00 до 16:00 по Кипру.

Задачи: — Строить AI-first продукт и определять его техническое будущее — Проектировать, разрабатывать и развивать API для ключевых health management функций продукта — Работать с интеграциями, payments, -office и другими ключевыми частями системы — Быть частью сильной амбициозной команды с высоким уровнем автономии, ответственности и скорости Требования: — Senior-уровень в backend-разработке на Python — Сильный опыт разработки production-ready backend-систем и API — Уверенный разговорный английский Условия: — Релокационный пакет для сотрудников и их семей (в Дубай)