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: Porto, Portugal
Workplace: hybrid
TeamViewer provides a leading Digital Workplace platform that connects people with technology—enabling, improving and automating digital processes to make work work better. Our software solutions harness the power of AI and shape the future of digitalization.
We believe that our diverse teams and strong company culture are key to the success of our products and technologies, that hundreds of millions of users around the world and around 645,000 customers across all industries rely on. With more than 1,900 employees worldwide, we celebrate the unique perspectives and talents that each individual brings to the table and foster a dynamic work environment where new ideas thrive. Are you ready to join our team and make an impact?
Responsibilities
TeamViewer is looking for an energetic and results-oriented Team Lead to support our EMEA Sales Development Representatives (SDR) outbound team. In this role, you will lead and develop a team of SDRs, helping them achieve their individual and team targets. Your key responsibilities will include coaching team members, supporting their development in outbound prospecting and sales skills, and ensuring strong performance and adherence to company processes and standards.
You will work closely with the Sales Development and Sales leadership teams to support pipeline generation and contribute to the overall success of the SDR organization.
Lead, motivate, and develop
a high-performing team of SDRs located across the EMEA region, supporting them in prospecting and pipeline generation. Provide regular coaching, feedback, mentoring, and ongoing development.
Execute established outbound strategies and processes
to support pipeline generation and achieve team and individual targets.
Create a culture of accountability and collaboration
within the team, motivating team members and supporting their continuous development.
Support and optimize processes and playbooks
to improve outreach efficiency, lead quality, and conversion rates, sharing feedback and improvement opportunities with the wider leadership team.
Collaborate with Sales and Marketing teams
to ensure alignment on messaging, campaigns, lead handover, and overall pipeline generation activities.
Monitor team performance and coach for success
, using relevant KPIs and performance data to identify development opportunities and support the team in exceeding targets.
Support pipeline and performance reporting
, providing relevant insights and updates to the Sales Development leadership team.
Act as a role model and first point of escalation
for the team, supporting operational excellence, employee development, and a positive team environment.
Requirements
3+ years of experience in sales development, inside sales, or a related role, with at least 1 year of experience in a leadership or team lead capacity.
Proven track record of coaching and developing sales professionals and supporting high-performing teams, preferably in a technology or software sales environment.
Good understanding of outbound prospecting strategies, sales methodologies (e.g. MEDDPICC), lead generation techniques, and sales pipeline management.
Excellent communication and interpersonal skills, with the ability to coach team members, build relationships, and collaborate effectively with stakeholders.
Analytical and data-driven mindset, with the ability to use CRM and sales enablement tools to monitor performance and identify opportunities for improvement.
Ability to work effectively in a fast-paced, dynamic environment and adapt to changing priorities and business needs.
Fluency in English is mandatory; additional languages are a plus.
Bachelor’s degree in business, marketing, or a related field is a plus.
What we offer
Onsite Onboarding
in our HQ office for an optimal start
Great compensation and benefits packages
including company achievement bonus or sales bonus and regular salary reviews
Public transport friendly
offices
Special terms
for local gyms
Access to
Corporate Benefits platform
with many
discounts
Regular
Team events
and company-wide celebrations
Open door policy
, no dress code rules, frequent all Hands and Leadership Lunches
Hybrid
work time
Work From Abroad Program
allowing up to 40 days of work outside your contracting country
We celebrate
diversity
as one of core values, join and drive one of the c-a-r-e initiatives together with us!
TeamViewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race.
If you require any accommodations or adjustments during the application or hiring process, including interview or onboarding support, please reach out to your Talent Acquisition Partner, who will be happy to support you.
Location: Poland
Workplace: fully
About the Client
Our client is an international payment service provider focused on optimizing and scaling payment flows for online businesses. They collaborate with payment service providers globally, providing solutions to enhance acceptance rates and ensure secure transactions. Their clientele includes mid-market and enterprise companies, some of which operate in high-risk sectors.
Role Overview
Join as a Senior Account Manager and shape the future of PSP partnerships. You'll have the opportunity to build strong, long-term relationships with key partners, driving revenue and improving account performance. Engage in commercial negotiations, develop referral opportunities, and collaborate closely with internal teams to ensure the success of partner-related initiatives.
Key Responsibilities
Build and maintain strong, long-term relationships with key PSP partners, acting as their primary point of contact.
Analyse existing partnerships and identify opportunities to increase revenue and margins.
Negotiate commercial conditions with PSPs, including discounts and referral terms.
Develop referral opportunities with existing PSP partners and facilitate introductions of new clients.
Create and execute joint development plans with key PSPs.
Track the progress of partnership initiatives and proactively identify areas for improvement.
Work closely with internal teams to ensure smooth execution of partner-related initiatives.
Requirements
2+ years of experience in Key Account Management, Partnerships, Account Management, or a similar client-facing role.
Previous experience within the FinTech, Payments, or PSP industry.
Practical experience working directly with Payment Service Providers (PSPs).
Strong ability to build and maintain long-term relationships with strategic clients and partners.
Excellent communication and negotiation skills.
Strong analytical mindset and ability to identify opportunities for account growth.
Languages: English B2, Russian C1.
Experience in fintech.
Key Soft Skills
Strong leadership mindset with a focus on team growth and development.
High level of ownership, accountability, and reliability.
Excellent communication and stakeholder management skills.
Ability to work collaboratively in a team environment.
Proactive approach to problem-solving and decision-making.
What We Offer
Competitive salary aligned with experience.
Collaborative and transparent team culture.
High-impact role in a scaling fintech company.
Recognition of personal milestones and achievements.
Social benefits.
Location: Cyprus
Workplace: fully
About the Client
Our client is an international payment service provider focused on optimizing and scaling payment flows for online businesses. They collaborate with payment service providers globally, providing solutions to enhance acceptance rates and ensure secure transactions. Their clientele includes mid-market and enterprise companies, some of which operate in high-risk sectors.
Role Overview
Join as a Senior Account Manager and shape the future of PSP partnerships. You'll have the opportunity to build strong, long-term relationships with key partners, driving revenue and improving account performance. Engage in commercial negotiations, develop referral opportunities, and collaborate closely with internal teams to ensure the success of partner-related initiatives.
Key Responsibilities
Build and maintain strong, long-term relationships with key PSP partners, acting as their primary point of contact.
Analyse existing partnerships and identify opportunities to increase revenue and margins.
Negotiate commercial conditions with PSPs, including discounts and referral terms.
Develop referral opportunities with existing PSP partners and facilitate introductions of new clients.
Create and execute joint development plans with key PSPs.
Track the progress of partnership initiatives and proactively identify areas for improvement.
Work closely with internal teams to ensure smooth execution of partner-related initiatives.
Requirements
2+ years of experience in Key Account Management, Partnerships, Account Management, or a similar client-facing role.
Previous experience within the FinTech, Payments, or PSP industry.
Practical experience working directly with Payment Service Providers (PSPs).
Strong ability to build and maintain long-term relationships with strategic clients and partners.
Excellent communication and negotiation skills.
Strong analytical mindset and ability to identify opportunities for account growth.
Languages: English B2, Russian C1.
Experience in fintech.
Key Soft Skills
Strong leadership mindset with a focus on team growth and development.
High level of ownership, accountability, and reliability.
Excellent communication and stakeholder management skills.
Ability to work collaboratively in a team environment.
Proactive approach to problem-solving and decision-making.
What We Offer
Competitive salary aligned with experience.
Collaborative and transparent team culture.
High-impact role in a scaling fintech company.
Recognition of personal milestones and achievements.
Social benefits.
Location: Lithuania
Workplace: fully
About the Client
Our client is an international payment service provider focused on optimizing and scaling payment flows for online businesses. They collaborate with payment service providers globally, providing solutions to enhance acceptance rates and ensure secure transactions. Their clientele includes mid-market and enterprise companies, some of which operate in high-risk sectors.
Role Overview
Join as a Senior Account Manager and shape the future of PSP partnerships. You'll have the opportunity to build strong, long-term relationships with key partners, driving revenue and improving account performance. Engage in commercial negotiations, develop referral opportunities, and collaborate closely with internal teams to ensure the success of partner-related initiatives.
Key Responsibilities
Build and maintain strong, long-term relationships with key PSP partners, acting as their primary point of contact.
Analyse existing partnerships and identify opportunities to increase revenue and margins.
Negotiate commercial conditions with PSPs, including discounts and referral terms.
Develop referral opportunities with existing PSP partners and facilitate introductions of new clients.
Create and execute joint development plans with key PSPs.
Track the progress of partnership initiatives and proactively identify areas for improvement.
Work closely with internal teams to ensure smooth execution of partner-related initiatives.
Requirements
2+ years of experience in Key Account Management, Partnerships, Account Management, or a similar client-facing role.
Previous experience within the FinTech, Payments, or PSP industry.
Practical experience working directly with Payment Service Providers (PSPs).
Strong ability to build and maintain long-term relationships with strategic clients and partners.
Excellent communication and negotiation skills.
Strong analytical mindset and ability to identify opportunities for account growth.
Languages: English B2, Russian C1.
Experience in fintech.
Key Soft Skills
Strong leadership mindset with a focus on team growth and development.
High level of ownership, accountability, and reliability.
Excellent communication and stakeholder management skills.
Ability to work collaboratively in a team environment.
Proactive approach to problem-solving and decision-making.
What We Offer
Competitive salary aligned with experience.
Collaborative and transparent team culture.
High-impact role in a scaling fintech company.
Recognition of personal milestones and achievements.
Social benefits.
Location: Spain
Workplace: fully
About the Client
Our client is an international payment service provider focused on optimizing and scaling payment flows for online businesses. They collaborate with payment service providers globally, providing solutions to enhance acceptance rates and ensure secure transactions. Their clientele includes mid-market and enterprise companies, some of which operate in high-risk sectors.
Role Overview
Join as a Senior Account Manager and shape the future of PSP partnerships. You'll have the opportunity to build strong, long-term relationships with key partners, driving revenue and improving account performance. Engage in commercial negotiations, develop referral opportunities, and collaborate closely with internal teams to ensure the success of partner-related initiatives.
Key Responsibilities
Build and maintain strong, long-term relationships with key PSP partners, acting as their primary point of contact.
Analyse existing partnerships and identify opportunities to increase revenue and margins.
Negotiate commercial conditions with PSPs, including discounts and referral terms.
Develop referral opportunities with existing PSP partners and facilitate introductions of new clients.
Create and execute joint development plans with key PSPs.
Track the progress of partnership initiatives and proactively identify areas for improvement.
Work closely with internal teams to ensure smooth execution of partner-related initiatives.
Requirements
2+ years of experience in Key Account Management, Partnerships, Account Management, or a similar client-facing role.
Previous experience within the FinTech, Payments, or PSP industry.
Practical experience working directly with Payment Service Providers (PSPs).
Strong ability to build and maintain long-term relationships with strategic clients and partners.
Excellent communication and negotiation skills.
Strong analytical mindset and ability to identify opportunities for account growth.
Languages: English B2, Russian C1.
Experience in fintech.
Key Soft Skills
Strong leadership mindset with a focus on team growth and development.
High level of ownership, accountability, and reliability.
Excellent communication and stakeholder management skills.
Ability to work collaboratively in a team environment.
Proactive approach to problem-solving and decision-making.
What We Offer
Competitive salary aligned with experience.
Collaborative and transparent team culture.
High-impact role in a scaling fintech company.
Recognition of personal milestones and achievements.
Social benefits.
Location: Office, EU
We are the creators of a new fintech era!
Our mission is to revolutionize the world by making blockchain technology accessible to everyone in everyday life. WhiteBIT is a global team of more than 1,500 professionals united by a shared vision of shaping the future.
We are building our own blockchain ecosystem to ensure maximum transparency and security for over 8 million users worldwide. Our cutting-edge solutions, rapid adaptation to market challenges, and technological excellence set us apart from traditional companies.
Our official partners include Juventus, FC Barcelona, Lifecell, FACEIT, and VISA.
Join us as a Head of Data Platform.
Requirements
Education & Experience:
— MSc in computer science, mathematics, statistics, physics or another quantitative field; PhD is a plus, not a requirement — research-grade methodology sits with the Quantitative Researcher
— 5+ years in data engineering / analytics, incl. lead / management experience; built a trading / financial data platform from zero at a crypto exchange, HFT / electronic-trading firm, market maker, or trading fintech. Bank / enterprise-DWH background alone does not qualify
— Personally carried production ownership of money data — trades, balances, positions, P&L — where a data error is a financial error
Core Technical Skills — data platform:
— Hands-on today: designs and ships pipelines personally — advanced SQL and Python; ClickHouse (or kdb+ / comparable columnar OLAP) in production
— Streaming and batch in one architecture: Kafka or equivalent, event feeds with second-grade freshness alongside hourly aggregates; trading-day logic — metrics counted within a trading day that starts and ends at a fixed morning hour, with an automatic daily reset
— Optimizes data footprint and computational overhead across every stage: selects the tech stack, partitioning logic, and execution flow based on cost-to-performance impact
— Data-correctness engineering: reconciliation, idempotent backfills, late / duplicate event handling, data-quality monitoring and lag alerting
— Vendor and API integration: institutional market-data providers (Kaiko / Amberdata class), exchange APIs, FX feeds; schema design and documentation others can build on
Core Technical Skills — analytics & applied math:
— Applied statistics at a working level: distributions, hypothesis tests and confidence intervals, correlation vs causation, time-series and aggregation pitfalls (session boundaries, survivorship, outliers) — enough to catch a methodological error in an analyst's query or notebook, and to have designed or reviewed metric / experiment methodology in past roles
— Metric and semantic design: one written definition per metric (P&L, uptime, spread, fill rate) enforced across every report; analytical data models (marts / star schemas) that make those definitions computable and cheap to query
— BI stack governance: Tableau / Grafana — performance, access control, versioned metric definitions; reviews dashboards for correctness rather than building them all himself
— ML literacy: understands when a model is — and is not — needed and can supervise applied work; research-grade modeling remains the Quantitative Researcher's mandate
Market & Domain Knowledge:
— Trading data from practice, not textbooks: maker/taker, fees and rebates, perpetual funding, realized / unrealized P&L, inventory and exposure, order-book depth and spread, slippage, quoting uptime
— Understands the consumers: how analysts, quants and desk heads use the data, and how market-quality / compliance metrics feed liquidity-provider terms
— Has built and run a mixed organisation of data engineers and analysts: separate hiring bars and growth tracks, peer review of queries and dashboards as a standard, methodology documented before a number ships
— Partners with quantitative research: turns the Researcher's methodology into production metrics and dashboards without distorting it; runs the sign-off process with quant and desk stakeholders
— Treats balances and client data as confidential by default: access control, least privilege, audit trail, no raw-data leaks
— Never ships silently wrong numbers: escalates early, cuts scope consciously, flags uncertainty in the data
Mindset & Soft Skills:
— Player-coach: the first months are personal hands-on delivery; scaling through the team runs in parallel, not instead
— Speaks business: reports status in money and deadlines; prioritizes by P&L impact — which dataset unblocks which decision; no jargon walls with management and stakeholders
— Owner of the direction's technical goals, not of a backlog: takes a business problem, decomposes it into tasks, executes and delegates
Responsibilities - Platform
— Architect and ship the central data warehouse: every trade, position, balance and P&L across all trading services; an hourly contour for BI plus a real-time contour for monitoring; trading-day logic with automatic daily reset
— Build the data layers behind LP terms: market quality (spread, depth near mid price, fill rate, per-order slippage), quoting-uptime start/stop events per maker and pair, external tier-1 benchmarks and FX feeds for regional fiat pairs
— Close the data debt: gaps in realized-P&L coverage, history backfills, broken monitoring services — restore or replace
— Set and hold agreed data-freshness targets and pipeline-health alerting; own schemas and documentation
— Own analytics delivery end-to-end: the KPI rulebook published and signed, financial / attribution / historical-performance dashboards, compliance screens and provider scorecards
— Enforce a single semantic layer: one definition per metric across every report; methodology documented before a dashboard ships
— Quality gate: numbers are reviewed and challenged before they reach management; sign-offs from quant / desk collected per deliverable
Responsibilities
:
— Hire leaders-first and onboard the technical team (~10 people: data engineering, analytics & BI, technical PM) per the approved hiring plan; hand tasks down without losing velocity
— Single interface to exchange tech (requirements, acceptance, freshness targets) and to analytics / quant stakeholders; run delivery in Jira against the approved one-year roadmap
— After the build: run the platform as a service to the direction — researcher-generated tasks, new metrics and pair groups, regular recalibration.
Working terms
Immerse yourself in Crypto & Web3:
Master cutting-edge technologies and become an expert in the most innovative industry.
Work with the Fintech of the Future:
Develop your skills in digital finance and shape the global market.
Take Your Professionalism to the Next Level:
Gain unique experience and be part of global transformations.
Drive Innovations:
Influence the industry and contribute to groundbreaking solutions.
Join a Strong Team:
Collaborate with top experts worldwide and grow alongside the best.
Work-Life Balance & Well-being:
Modern equipment.
Comfortable working conditions, and an inspiring environment to help you thrive.
22 business days of paid leave.
Additional days off for national holidays.
Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our
Candidate Privacy Notice
.
Got it Life — стартап из Кремниевой долины, который развивает AI-приложение в сфере ментального здоровья и готовится к запуску монетизации.
Ищут Product Marketing Manager для продвижения продукта на западных рынках B2C и B2B.
Задачи:
— разрабатывать стратегию органического роста мобильного приложения;
— развивать ASO;
— работать с инфлюенсерами;
— вести SMM;
— работать с Google Ads и Meta Ads;
— развивать email-маркетинг;
— искать партнёров среди коучей, ассоциаций и федераций;
— создавать и развивать комьюнити;
— анализировать эффективность кампаний через Google Analytics и AppsFlyer;
— развивать корпоративные wellness-направления;
— тестировать и масштабировать маркетинговые гипотезы.
Требования:
— опыт продвижения мобильных приложений на рынках США и Европы;
— опыт запуска и масштабирования продуктов с нуля;
— уверенное понимание ASO, influencer marketing, SMM и контекстной рекламы;
— сильная аналитика;
— английский от B2.
Опыт healthcare, mental health, EdTech, AI и B2B будет преимуществом.
Условия:
— полностью удалённая работа;
— гибкий график;
— part-time с перспективой перехода на full-time;
— высокая степень влияния на развитие продукта.
Location: Bratislava, Slovakia
Workplace: hybrid
Are you ready to join our digital revolution journey?
At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.
Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.
With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career.
What You’ll Do
Onboard and manage clients to ensure successful Google Ads campaign setups.
Develop smart, tailored PPC strategies to help clients achieve their business goals.
Continuously optimize campaigns for maximum performance and ROI.
Act as a trusted Google Ads consultant, advising on best practices, targeting, budget, and campaign design.
Monitor and analyze campaign performance, providing regular, actionable reports.
Identify new growth opportunities within client accounts and recommend additional products and services.
Collaborate closely with sales, support, and cross-functional teams to ensure a seamless client experience.
Stay ahead of market trends, Google Ads updates, and digital innovations.
What You Need For This Role
Experience managing Google Ads campaigns and working with digital performance agencies.
Solid understanding of Google Analytics (GTM experience is a plus).
Strong communication and relationship-building skills.
Analytical mindset with the ability to work independently.
Fluency in English and Slovak is preferred.
What Will Make Us Really Love You
You’re detail-oriented, proactive, and solution-focused.
You have a positive, growth-driven attitude and love taking on new challenges.
You’re comfortable managing multiple projects and can prioritize effectively.
You’re skilled at client communication and campaign consultation.
You have a track record of proactively searching for new leads and growth opportunities.
Why You’ll Love About Us
Freedom to create, grow, and make an impact.
A supportive, dynamic team with an international culture.
Fast-paced industry with global exposure and learning opportunities.
Access to world-class digital advertising workshops and training.
Flexible work model: in-office, hybrid, or remote (depending on your situation).
Why Join Us?
Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.
We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.
#ALEPH
Location: remote (Armenia)
More than 30,000 subscription apps run on Adapty: $5B in revenue tracked, 4B users served, 80B API calls a month. That's one of the richest datasets in the app economy. Our mission is simple: make apps rich.
We are a team of 210+ passionate, product-driven people who love solving big challenges. Backed by top investors like 500 Startups and Surface Ventures, we are building one of mobile's fastest-growing SaaS companies and aiming for number one worldwide.
WHAT THIS ROLE IS ABOUT
Adapty powers subscriptions for thousands of mobile apps, and our clients don't come to us for a billing tool, they come to grow subscription revenue. This role exists to make that happen.
You'll own a portfolio of 30-40 apps and act as their growth partner: understanding their funnel from ad click to purchase, finding where money leaks out, and bringing them concrete recommendations on paywalls, pricing, and A/B tests. You will be a sparring partner who knows subscription monetization as well as our clients do.
This isn't a ticket-answering job. Proactiveness, retention, adoption, and expansion in your portfolio are yours to drive, which means you'll spend your time in analytics dashboards and in strategic conversations, and you'll be comfortable turning a good insight into a commercial one.
WHAT YOU'LL BE DOING
- Own a portfolio of 30-40 clients. You'll be the main point of contact and the person accountable for their retention, health, and growth.
- Onboard new clients. After handoff from Sales, guide them through integration, help them build their first funnel and paywall, and get their campaigns live.
- Close product adoption gaps. Audit how each client actually uses Adapty, spot underused features, and drive them to full adoption. Identify at-risk accounts early and act before renewal is in question.
- Drive account growth. Run paywall and UA analyses, and come to clients with concrete A/B test recommendations that move their subscription revenue, not generic check-ins.
- Unlock and close cross-sells. Identify expansion potential across the product line and own those deals through to closed-won.
- Be the voice of the customer. Gather and relay feedback, bugs, and feature requests to the product team, and follow up so critical issues actually ship.
- Know the product inside and out. You'll be expected to answer detailed technical questions and support complex use cases without escalating everything.
WHAT WE'RE LOOKING FOR
- Hands-on experience with in-app subscriptions. You've worked with subscription monetization directly, not just adjacent to it.
- Full-cycle mobile growth background. Ideally you've owned traffic acquisition through to purchase: UA, funnel optimization, monetization, A/B testing.
- Fluent English, written and spoken.
- Comfortable with sales. You're not afraid to open a commercial conversation, ask for the expansion, and close it.
- Sharp mind and strong communication. You can hold a strategic conversation with a founder or a growth lead and be taken seriously.
- Independent and proactive. We don't micromanage — you own your accounts and your numbers.
NICE TO HAVE
- Experience at a SaaS company in the mobile industry
- Working knowledge of Amplitude, Meta Ads, and creative testing.
- Track record of measurable account expansion or upsell in a previous CS role.
- Familiarity with support/CRM tools.
WHAT'S IN IT FOR YOU
- Strong product with industry-best metrics. Adapty is among the top 5% fastest-growing SaaS companies.
- Exceptional compensation directly tied to your results.
- Direct communication and ownership. No bureaucracy, no politics, just impact.
- Flexible remote work. Join us from anywhere or work onsite in our Belgrade or London offices.
- Professional support. Language learning, sports, health insurance, laptop coverage, and more.
We are looking for an experienced Marketing Analyst to support and scale our marketing analytics capabilities.
In this role, you will partner closely with Marketing, Product, and Data teams to measure performance, uncover growth opportunities, and drive data-informed decision-making across digital channels.
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