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Location: Armenia, Remote/Armenia Workplace: remote About us: Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success. We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today. What began as a better way to pay at checkout has grown into a financial system working the way it should have all along. About the role: We are looking for a Risk (QA) Engineer to join our growing Risk and Scoring teams, responsible for Risk & Financial Modelling in the Tabby product. Key Responsibilities Development and implementation of credit policies and risk assessment strategies in accordance with the requirements of business customers (risk and anti-fraud department); Monitoring the operation of the decision-making system and assessing the effect of the implemented changes; Development and automation of test scripts for the changes made; Testing algorithms and elements of a credit decision-making strategy; Full analysis of the credit decision-making strategy in terms of technical implementation, search and elimination of errors. During the probationary period, you will be evaluated based on: Quality of changes implementation (including errors identified in production). Speed and productivity compared with average team performance. Quality of interaction with team members and stakeholders. Skills, Knowledge & Expertise 0.5+ years of relevant experience as a QA or SDET working on tech/fintech products. Basic knowledge of GoLand is desirable; Good knowledge of testing; Good knowledge of English. Ability to work in a stressful environment typical of startups. Benefits Fully remote work We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. A working environment that gives you autonomy and responsibility from day one. You should be comfortable with the idea that the quality of your work will influence the shape of your career. Participation in the company’s employee stock options program. Flexi Perks : A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!

Location: Tbilisi, Remote/Georgia Workplace: remote About us: Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success. We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today. What began as a better way to pay at checkout has grown into a financial system working the way it should have all along. About the role: We are looking for a Risk (QA) Engineer to join our growing Risk and Scoring teams, responsible for Risk & Financial Modelling in the Tabby product. Key Responsibilities Development and implementation of credit policies and risk assessment strategies in accordance with the requirements of business customers (risk and anti-fraud department); Monitoring the operation of the decision-making system and assessing the effect of the implemented changes; Development and automation of test scripts for the changes made; Testing algorithms and elements of a credit decision-making strategy; Full analysis of the credit decision-making strategy in terms of technical implementation, search and elimination of errors. During the probationary period, you will be evaluated based on: Quality of changes implementation (including errors identified in production). Speed and productivity compared with average team performance. Quality of interaction with team members and stakeholders. Skills, Knowledge & Expertise 0.5+ years of relevant experience as a QA or SDET working on tech/fintech products. Basic knowledge of GoLand is desirable; Good knowledge of testing; Good knowledge of English. Ability to work in a stressful environment typical of startups. Benefits Fully remote work We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. A working environment that gives you autonomy and responsibility from day one. You should be comfortable with the idea that the quality of your work will influence the shape of your career. Participation in the company’s employee stock options program. Flexi Perks : A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!

Location: Belgrade, Remote Workplace: remote About us: Tabby is on a mission to give people power over their money. For too long, financial systems have worked for the institutions that built them, not the people using them. Runaway interest, fine print and limited access have left many behind, feeling shut out of a system that wasn't setting them up for success. We're building a different kind of system—in a complete money app to send, spend and save. One that's clear, flexible and puts people and businesses in control. Founded in 2019, we serve customers and businesses across Saudi Arabia, the United Arab Emirates and Kuwait. Millions of customers and 65,000 global brands, government services and small businesses rely on us today. What began as a better way to pay at checkout has grown into a financial system working the way it should have all along. About the role: We are looking for a Risk (QA) Engineer to join our growing Risk and Scoring teams, responsible for Risk & Financial Modelling in the Tabby product. Key Responsibilities Development and implementation of credit policies and risk assessment strategies in accordance with the requirements of business customers (risk and anti-fraud department); Monitoring the operation of the decision-making system and assessing the effect of the implemented changes; Development and automation of test scripts for the changes made; Testing algorithms and elements of a credit decision-making strategy; Full analysis of the credit decision-making strategy in terms of technical implementation, search and elimination of errors. During the probationary period, you will be evaluated based on: Quality of changes implementation (including errors identified in production). Speed and productivity compared with average team performance. Quality of interaction with team members and stakeholders. Skills, Knowledge & Expertise 0.5+ years of relevant experience as a QA or SDET working on tech/fintech products. Basic knowledge of GoLand is desirable; Good knowledge of testing; Good knowledge of English. Ability to work in a stressful environment typical of startups. Benefits Fully remote work We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. A working environment that gives you autonomy and responsibility from day one. You should be comfortable with the idea that the quality of your work will influence the shape of your career. Participation in the company’s employee stock options program. Flexi Perks : A monetary benefit that gives you the freedom to use it as you choose—whether for health and well-being, education and professional development or travel needs!

Location: London Workplace: Hybrid ABOUT NIANTIC SPATIAL AI has learned from almost everything online, but it still struggles with the physical world, where 99.5% of economic activity happens. It can't yet reason about real places well enough for robots, field crews and AI agents to rely on it, and closing that gap will change how factories, power grids, cities and defense operations run. That's one of the biggest unsolved problems in AI, and it's the one we're solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That's why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world's most widely used maps. Now we're building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. ABOUT THE ROLE The Large Geospatial Model is Niantic Spatial's foundation model of the physical world. It learns from years of real-world captures of millions of places, and people, robots and AI agents use it to find out where they are, what is around them and what has changed. Each step up in scale has given the model capabilities it did not have before. The next problems are some of the hardest in AI: filling in the parts of a place no camera saw while marking what was inferred, measuring what changed between visits, and predicting what will change next. Customers already use the model in production. Energy companies use it to guide field crews to equipment on large industrial sites, defense partners use it for positioning where GPS is jammed or unavailable, and robotics companies train robots in metric-scale copies of the real sites they will work in. You will be the first product leader for the model and the data it learns from, reporting to the Chief Product Officer. You decide which capabilities it gains and in what order, the bar each release has to clear, and what data Niantic Spatial collects, licenses or partners for to get there. You set those priorities directly with the Chief Scientist and the London research team who train the model. If you have shipped a frontier language model, most of the job will be familiar: evals, data mix and release decisions. The job differs in two ways. Every output of this model can be scored against a measured real place, so its evals rest on ground truth. And its data is collected in the physical world, so choosing what to capture next is a product decision with a real cost. Experience in 3D or mapping is welcome but not required. By the end of your first year, research, engineering and the product leads for industrial, defense, robotics and platform customers work from one model roadmap that you own, each release ships against evals you wrote, and the model's newest capabilities are in customers' hands. WHAT YOU'LL DO - Own the Model Roadmap - Decide the order in which the Large Geospatial Model gains its next capabilities, from filling in unseen parts of a site to measuring and predicting change, based on what industrial, defense, robotics and platform customers will pay for. Turn customer problems into specific research requirements, and bring new research results to the product leads who sell into each market. - Set the Release Bar - Define the evals and acceptance criteria for each capability with the Real-World Test Lab, which measures model output against ground truth in real places. Decide whether each release ships or goes back for more data or training. - Own the Data Plan - Decide what data Niantic Spatial collects, buys, licenses or gets through partners, and set the product terms of those deals with Legal and Business Development. Set the curation, labeling, consent, privacy and training-rights requirements every dataset has to meet, and keep a record of which data went into each model version. - Turn Capabilities into Products - Decide when a new model capability is ready to become something customers buy, what it promises them, and how it reaches them through Niantic Spatial's products and platform. - Set the Long-Term Direction - Decide where the model goes over the next several years, as it moves from describing places as they are to tracking how they change and anticipating what comes next, and make the case for the research and data investment that takes. WHAT YOU'LL BRING - 8+ years in product management, including at least three years shipping a large model to users or customers. - Experience writing evals for a model and using them to decide when a release was ready. - Direct work on training data, such as setting a data mix, running labeling or human-feedback programs, or negotiating data licenses. - Enough depth in how large models are trained, post-trained and evaluated that researchers bring you into their technical decisions. Many strong candidates for this role were ML engineers or researchers before they moved into product. - Experience setting direction for research and engineering teams that did not report to you. - A bachelor's degree in computer science, engineering, or a related field, or equivalent experience. NICE TO HAVE - Experience in 3D computer vision, reconstruction, localization, mapping, geospatial data, robotics or autonomous systems. - An advanced degree in machine learning, computer vision, robotics, or a related field. - Experience with Gaussian splatting, neural fields or visual positioning systems. - Experience with government or defense requirements for data provenance and security. COMPENSATION & BENEFITS Base salary: Competitive market rate. Compensation also includes an annual bonus, equity, and a comprehensive benefits package. LOCATION & WORK MODEL This role is based in our London office, with three days per week in office. INCLUSIVE APPLICATION We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed - you may be exactly who we're looking for. EQUAL OPPORTUNITY Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. CANDIDATE PRIVACY I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Remote What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role: We are looking for a Senior GRC Analyst to join our Technical Compliance team and own the recurring risk, vendor, findings, and governance work that keeps Garner’s security program operating well between audits. You will run our risk risk register, manage third party risk, drive security findings to resolution, deliver security training and run the operating cadence of our security governance program. You will partner with all departments across the company so that risks are identified early, decisions are made deliberately, and remediation actually gets done. Our Technology Compliance team safeguards Garner’s sensitive healthcare data and protects the trust of our members, clients, and partners by maintaining a strong control environment and regulatory compliance. The work you do here has a direct impact on our ability to win and retain enterprise customers, expand into new lines of business, and scale securely as we grow. Where you will work: This role is open to remote candidates across the U.S. For candidates based in New York City, the position follows a hybrid schedule with in-office work required Tuesday, Wednesday, and Thursday each week. What you will do: Own Garner’s annual information security risk assessment and risk register, driving risk identification, scoring, treatment, and reporting Manage risk exceptions and prepare risk acceptances for leadership decision Run third party and vendor risk reviews from intake through approval and periodic reassessment Own security findings from vulnerability scanning, penetration tests, audits, client assessments, and incidents, tracking remediation with Engineering, enforcing SLAs, and escalating findings that warrant a risk decision Run our security and compliance training program, including annual security awareness and HIPAA training, onboarding, content refreshes, and completion tracking Manage the maintenance of our compliance policies, standards, and procedures Report on our compliance posture to senior leadership Scale our GRC function with AI and automation, building quick wins and scoping requirements for Engineering to fully automate the rest What you will bring to the team: 5+ years of experience in GRC, IT risk management, third party risk management, or information security compliance Experience running information security risk assessments and maintaining a risk register using established methodologies such as NIST CSF or ISO 27005 Hands on experience with vendor risk management and with vulnerability or findings remediation programs in a cloud native engineering environment Working knowledge of HIPAA and of SOC 2, ISO 27001, and HITRUST requirements A track record of driving accountability across teams you don’t manage, and the ability to adapt your communication style across engineers, operators, and executives A GRC Engineering mindset with prior experience using scripting and LLMs to automate repetitive tasks A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback Industry certifications such as CISA, CISM, CISSP, CRISC, or ISO 27001 Lead Auditor preferred Technologies we use: AWS, Okta, Wiz, Retool, Gitlab, Vanta, Claude Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. Compensation Transparency: The target salary range for this position is $155,000-185,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Evaluate clinical EHR vignettes paired with a question, a proposed answer, and a distractor “trap” answer across diagnosis and treatment tasks, spanning cardiovascular, nervous, hematologic, respiratory, digestive, urinary, reproductive, musculoskeletal, and integumentary systems;

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. About the Role As a RAM, you’ll own a book of accounts across European markets. This isn’t a passive renewal role. We want someone who treats their portfolio like a sales territory: proactively growing wallet share, spotting upsell and cross-sell moments, and building the kind of client relationships that make churn a non-starter. This role looks after customers for their first 90 days after activation (first subscription paid). Your main objective is to drive quick, thorough product adoption, with a focus on revenue and turning new customers into High Value Clients (HVCs). Day to day, you’ll explore clients’ businesses and needs in depth, then position our products to address the opportunities you uncover. You’ll be measured on what matters: expansion revenue, ARPA growth and voluntary churn. If you’re the type who reads their book every Monday morning and spots the opportunity before the client asks, this is your seat. What you'll be doing Own a portfolio of high-value SME clients across European markets and drive sustainable revenue growth from it. Prioritise well: not all clients deliver the same value, so qualify quickly and accurately, then prioritise accordingly. Proactively engage your book through outreach and check-ins, rather than just reacting to inbound requests. Identify and execute upsell and cross-sell opportunities across Finom’s product suite (plans, card spend, invoicing, credit). Build genuine relationships with decision-makers and be the person they call when something needs sorting. Use account data, usage signals and portfolio trends to inform your outreach priorities and commercial conversations. Gut feel is a start, but data is what makes it repeatable. Monitor account health signals and step in early on at-risk accounts before churn becomes likely. Maintain a clean pipeline and activity tracking in Salesforce – no black holes. Use Modjo, our AI call intelligence tool, to sharpen your performance and share learnings with the team. Work closely with onboarding, product and support to make sure clients get what was promised. What we're looking for Languages: fluent English, plus Italian at Native Level At least 2 years of account management experience in fintech or B2B SaaS. At least 1 year of outbound or business development experience: you know how to open a conversation and create urgency without being pushy. Hungry: you want to win, and you push for results without being chased. Commercially sharp: you think in terms of revenue per account, expansion potential and portfolio mix, not just satisfaction scores. Data-driven: you use data to make decisions, whether that’s spotting a usage drop before it becomes a churn risk or finding the right moment for a plan-upgrade conversation. Comfortable in a fast-moving scale-up where the playbook is still being written in places. Confident communicator: you can run a QBR, push back when needed and escalate the right things. Proficient in Salesforce, Google Workspace and Slack. Experience with Modjo or a similar call tool is a bonus. 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.

• Опыт работы Data Scientist от 5 лет. • Опыт с банковскими продуктами и в финтех-индустрии.

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. ROLE PURPOSE The Senior Analyst, Underwriting Quality Control (QC) will establish and continually improve a consistent, risk-based quality control framework for work completed by Underwriters. The role will build on existing QC practices and tools, tailoring them to the Underwriting lifecycle, products, risk decisions and operating model. The role provides an objective, evidence-led check that underwriting assessments and outcomes are complete, consistent, appropriately documented and aligned with internal policy, procedures and applicable requirements. It will turn review results into clear management information, actionable feedback, targeted training and measurable improvements in underwriting quality. This is a hands-on role. The Senior Analyst will conduct QC reviews, maintain the framework and reporting, follow findings through to verified remediation, and work with Underwriters and leaders to address recurring gaps. The role reports to the Director of Underwriting and influences quality across the function without replacing the Underwriter’s decision-making accountability. KEY RESPONSIBILITIES BUILD AND OWN THE QC FRAMEWORK - Assess existing QC materials, controls, data and workflows; identify what should be retained, improved or introduced for Underwriting. - Design, document and implement an Underwriting-specific QC framework, including scope, risk-based sampling, review cadence, test scripts, scoring and severity definitions, evidence standards, escalation routes, dispute handling, calibration and remediation expectations. - Tailor testing to the relevant underwriting stages, products, merchant and business models, risk tiers and applicable regional requirements. - Define practical service levels and ownership for review, feedback, acknowledgement, remediation, re-review and closure, agreeing these with Underwriting leadership. - Establish appropriate governance and records so that QC decisions and remediation are traceable and ready for internal or external review. PERFORM AND CALIBRATE QC REVIEWS - Review completed underwriting cases and test whether the case record is complete, and appropriately documented. Depending on case scope, this may include business model products, services and geographies; ownership, control and beneficial ownership; company and identity evidence; KYC/KYB and screening outcomes; licences and regulatory status; financial and operational evidence and accurate system records. - Identify missing, inconsistent, stale or insufficient evidence, and opportunities to improve decision quality. DRIVE REMEDIATION AND CONSTRUCTIVE CHALLENGE - Communicate findings promptly, clearly and fairly to the relevant Underwriter and manager, with evidence and an actionable explanation of what needs to change. - Track acknowledgement, corrective action and deadlines; proactively chase overdue responses and escalate unresolved or repeat issues. - Work with Underwriters and leaders to understand root causes and ensure remediation addresses the underlying issue, not only the individual case. REPORTING, INSIGHT AND CONTINUOUS IMPROVEMENT - Produce regular, accurate QC reporting for Underwriting leadership, with clear commentary on coverage, pass and defect rates, severity, recurring themes, remediation status, turnaround and trends by relevant team, workflow, product or risk segment. - Support internal audit, Compliance, Risk and other assurance requests by providing accurate QC records and explaining methodology and outcomes. BUILD UNDERWRITING CAPABILITY - Identify capability gaps from QC findings and partner with Underwriting leaders and relevant subject-matter experts to design and deliver focused training, coaching and practical guidance. WHAT SUCCESS LOOKS LIKE The ideal candidate is a rigorous and constructive quality professional who can build a practical control framework, apply it consistently and influence experienced Underwriters. They combine sound KYC/KYB judgement with strong analytical and reporting skills, confidence in following through on remediation, and the ability to turn case-level observations into improvements across a regional operation. ESSENTIAL - Significant experience in underwriting, merchant due diligence, AML/KYC/KYB, onboarding, financial crime operations, quality control, quality assurance or a related risk function within financial services, payments or fintech. - Practical understanding of UK and EEA due diligence requirements, with familiarity across the US, Canada, Singapore, Hong Kong, UAE, Australia and New Zealand; ability to recognise jurisdictional differences and escalate interpretation questions appropriately. - Demonstrated ability to design, implement or materially improve a QC, QA, control testing or file review framework. - Strong reporting and data skills, including spreadsheets, pivot tables and clear management reporting; experience with Looker dashboard or business intelligence tools is an advantage. Use of AI is a plus. - Effective stakeholder management and influencing skills, including the persistence to chase remediation and escalate overdue or repeat issues appropriately. - Experience delivering training or coaching based on quality control findings. NICE TO HAVE - Direct exposure to underwriting or due diligence in a merchant acquiring setting. - Familiarity with case management and CRM tools,dashboard platforms. - A relevant degree or equivalent practical experience; recognised AML, financial crime or compliance qualifications (for example ACAMS or ICA) are beneficial but not mandatory. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Role Overview We are seeking a Compliance Due Diligence Specialist to further improve our Third-Party Risk Management (TPRM) and due diligence assessment framework and processes . This person will be responsible for day-to-day execution of due diligence assessments for various third parties. This role is ideal for someone with a solid compliance due diligence foundation who wants to dig down to investigating third parties , contribute to process improvements , and help scale a modern compliance function in a fast-growing tech environment. You will work closely with Ethics & Compliance, Legal, HR, and various other business and technology teams to ensure compliance is practical, efficient, and embedded into business operations . Key Responsibilities Conduct third-party due diligence assessments, including risk scoring, screening, verification, and documentation of third-party risk profiles Perform name screening against sanctions, PEP, adverse media, and related lists, and coordinate resolution of positive matches within established timelines Manage internal due diligence for medium and high-risk third parties, including desktop checks, review of ownership structures, beneficial owners, and site visits where feasible Coordinate external due diligence questionnaires for high-risk third parties, reviewing responses related to corporate structure, governance controls, human rights safeguards, ESG data, and compliance declarations Identify and escalate red flags, including sanctions exposure, bribery and corruption risk, modern slavery indicators, Zero Connections concerns, and geopolitical risks Maintain the Third-Party Risk Register, ensuring accurate documentation of risk scores, due diligence records, mitigation actions, and reassessment schedules Perform monthly compliance reconciliations , including sample-based quality checks of completed assessments, verification of scoring accuracy, and adherence to reassessment schedules Help identify training needs across the organization and support development and delivery of compliance training and awareness initiatives Contribute to process improvement and automation initiatives , making compliance processes more efficient and scalable What we expect you to have: Relevant level of education and certifications (i.e. CFE, CAMS etc.) Minimum of 4 years experience in performing due diligence, KYC assessments or investigations Experience working within a corporate compliance program Experience in data center, AI or relevant technology companies Good understanding of core compliance topics (e.g. COI, ABAC, third-party risk, sanctions etc. ) Familiarity with compliance and third party risk assessment methodologies Strong organizational and analytical skills Hands-on and proactive , Interested in building and improving processes, Structured and detail-oriented, but pragmatic Strong communication skills and ability to work cross-functionally Nice to Have Experience with compliance tools or workflow systems Experience with Dow Jones RiskCenter or similar third-party risk management platforms Exposure to automation or process improvement initiatives Experience in a fast-paced, international / listed , or tech environment What We Offer: Competitive salary and comprehensive benefits package. Opportunities for professional growth within Nebius. Flexible working arrangements. A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us! Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: San Francisco; New York City In 2026, we launched Computer, the defining product for the new era of agentic AI. Millions of people and teams adopt Perplexity and Computer on their own, and the Growth team owns the loops that turn that adoption into lasting usage and revenue. We're hiring a Growth GTM Engineer to build the systems that turn product usage into revenue and turn self-serve usage into enterprise pipeline. You'll turn first-party Computer and Enterprise usage into account-level signals. You'll ship the in-product paths that capture sales intent, and build and validate those signals with data science. Alongside product engineers, you ship production code, instrument the product and run experiments. You'll partner closely with Revenue Operations, who own Salesforce, CPQ, routing and sales reporting. Tech Stack: TypeScript | Next.js | React | Python | PostgreSQL | Snowflake | Eppo | AWS WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Build account-level PLG signals: map users and workspaces to accounts, and define the activation, expansion and intent signals that predict an enterprise deal. Publish them as trusted models that sales use for scoring and routing. - Own the in-product paths from self-serve to sales, like contact-sales entry points, high-intent upsells and meeting booking, across web and app. Decide who sees them, when and with what context, and measure them end to end, from surface to booked meeting to pipeline. - Lead experiments end to end on sales-assist surfaces and targeting, from hypothesis and instrumentation through analysis and rollout. Partner with Data Science to measure meetings and qualified opportunities, not just clicks. - Build the internal tools and automation Growth and GTM teams run on - Partner closely with Sales, Sales Systems, Data Science, Marketing and Product to turn product signals into pipeline. Be upstream partner to sales systems that own Salesforce, CPQ and routing QUALIFICATIONS - 2+ years as a growth, GTM, data or full-stack engineer, shipping production code (TypeScript/React, Python). - Strong SQL and comfort building data models in a warehouse (Snowflake, dbt-style). - Experience instrumenting product events and running A/B experiments end to end. - Commercial instinct: you start from a revenue problem ("trial-to-enterprise conversion won't move") and work back to the signal or surface that fixes it. - Comfort with REST APIs, webhooks and integrating third-party GTM tools. - Operator mindset: you talk to customers directly, ship fixes, and don't need a PM to translate requests. NICE TO HAVE - Experience in a PLG-to-enterprise motion: product-qualified leads, scoring users into accounts, sales-assist flows. - Experience as a GTM or growth engineer at a B2B SaaS or GTM-tooling company. - Entity resolution, dedup or domain enrichment. - Familiarity with Salesforce, Default, Chili Piper, Intercom, Clay, Hightouch/Polytomic or similar (as a consumer and integrator, not an admin). - Experience building LLM-powered internal tools or agents.

Location: Iraq; Libya; Palestine, State of KAIZEN is seeking a qualified, detail-oriented, and commercially astute professional for the position of Procurement Officer. This is a full-time, remote-based role responsible for the strategic sourcing, tendering, contract administration, and regulatory compliance of all procurement activities in support of the organisation’s real estate portfolio. Position Overview The Procurement Officer shall evaluate suppliers, products, and services, negotiate and administer contracts, and ensure that all procurement activities deliver cost-effective, high-quality outcomes in a timely manner. The role is pivotal in safeguarding organisational budgets, driving operational profitability, and upholding the integrity of procurement governance and regulatory adherence. Key Responsibilities Sourcing and Contract Award Source, assess, and award contracts to duly licensed and qualified contractors, suppliers, and service providers for the provision of goods, works, and services, in strict accordance with established organisational policies, procedures, and governance principles. Ensure all procurement processes are executed within approved timelines from receipt of request through to proposal receipt and contract award. Tendering and Proposal Evaluation Prepare, issue, and manage tender documentation for Annual Maintenance Contracts across all KAIZEN-managed properties. Conduct systematic comparative analysis and evaluation of submitted proposals, ensuring objectivity, transparency, and alignment with cost, quality, and delivery criteria. Maintain a minimum compliance rate of ninety percent for tender evaluations completed in full accordance with prescribed process. Contract and Vendor Performance Management Establish and maintain robust monitoring frameworks to assess contractor and supplier performance against contractual terms and deliverables. Identify deficiencies, non-conformities, or deviations in contract execution and initiate and coordinate timely corrective and remedial actions. Maintain accurate contract records, status updates, and performance reports using approved management systems and tools. Achieve and sustain a minimum Procurement Audit Report score of ninety percent. Compliance, Regulation, and Reporting Ensure full and ongoing adherence to the regulations of the Dubai Real Estate Regulatory Agency, the provisions of UAE Law No. 6 of 2019, applicable health and safety standards, and all internal procurement policies. Prepare, validate, and submit accurate procurement documentation, compliance records, audit trails, and performance reports as required. Achieve and sustain a minimum Procurement Audit Report score of ninety percent. Requirements Proven procurement experience, preferably within real estate, property management, facilities management, construction, or related industries. Strong knowledge of procurement processes, tender management, contract administration, vendor management, and cost analysis. Knowledge of UAE procurement regulations and RERA requirements is an advantage but not mandatory. Fluency in Arabic is essential, with strong English communication skills. Highly organized, detail-oriented, and process-driven, with a strong focus on compliance, documentation, and audit readiness. Must be genuinely interested in and comfortable with a fully remote working arrangement, with the ability to work independently and maintain productivity without direct supervision. Demonstrates self-discipline, accountability, reliability, and excellent time management. Proficient in Microsoft Office, particularly Excel, and digital collaboration tools. Excellent communication and stakeholder management skills, with the ability to coordinate effectively with vendors, colleagues, and stakeholders across different locations.

Location: Remote - AMER Workplace: Remote ABOUT US: Constructor is the only search and product discovery platform tailor-made for enterprise ecommerce where conversions matter. Constructor's AI-first solutions make it easier for shoppers to discover products they want to buy and for ecommerce teams to deliver highly personalized experiences that drive impressive results. Optimizing specifically for ecommerce metrics like revenue, conversion rate and profit, Constructor generates consistent $10M+ lifts for some of the biggest brands in ecommerce, such as Sephora, Petco, home24, Maxeda Brands, Birkenstock and The Very Group. Constructor is a U.S. based company that was founded in 2015 by Eli Finkelshteyn and Dan McCormick. ABOUT THE TEAM We're a passionate team that loves challenges and wants to make people’s lives better. We value openness, curiosity, and continuous improvement. We believe that empowering everyone in a company to do what they think is best can lead to great things. ROLE OVERVIEW As a Sales Engineer, you will lead the technical components of the sales process. You will partner closely with Account Executives and prospective customers to design integration approaches, evaluate technical fit, and demonstrate how Constructor’s platform drives measurable business impact. This role combines technical architecture design, consultative discovery, and cross-functional collaboration. You will act as a bridge between customer engineering teams and Constructor’s Product and Engineering teams. This is not a demo-heavy role. Account Executives perform the majority of demonstrations at Constructor. This role requires architectural thinking, integration planning, and consultative problem-solving. KEY RESPONSIBILITIES TECHNICAL SALES & SOLUTION DESIGN - Lead technical discovery and solution design for prospective customers - Design and document integration architectures (APIs, ecommerce platforms, PIM, CMS, data pipelines) - Develop and support tailored Proof Schedules (deeply tailored, data-backed custom demo, similar to a “proof of value”) - Deliver technical presentations to both business and technical stakeholders - Serve as primary technical advisor during evaluation cycles - Troubleshoot and triage APIs, SDKs, and integration patterns - Willingness to tinker and build demo prototypes and tooling - Build and present compelling custom technical demonstrations and integration blueprints tailored to each sales opportunity - Support RFP and RFI responses CROSS-FUNCTIONAL COLLABORATION - Partner with Product and Engineering to surface prospective customer feedback to influence product roadmap and integration strategy - Contribute insights to the roadmap and the go-to-market strategy - Support enablement and training for sales teams - Help refine documentation, processes, and best practices within the SE function MARKET & INDUSTRY ENGAGEMENT - Stay current on ecommerce trends, AI/ML advancements, and the competitive landscape - Represent Constructor in prospect meetings, partner engagements, field events, and other industry engagements - Build strong relationships with prospective customer technical stakeholders (architects, engineers, delivery teams) REQUIRED QUALIFICATIONS & SKILLS - 3+ years of experience in technical Solutions Engineering, Sales Engineering, Pre-Sales Architect, or Technical Pre-Sales roles - Deep hands-on experience with API-first platforms: comfortable working directly with REST APIs, JSON data structures, webhooks, and SDK integration patterns, and able to troubleshoot them with Postman or similar tools - Working knowledge of JavaScript, TypeScript, Python, or similar languages, enough to read integration code, debug client-side implementations, and build lightweight prototypes or demo tooling - Experience designing and running custom demos or pilots with clear, business-aligned success criteria - Hands-on experience with coding agents to automate workflows, amplify impact, and execute at scale - Ability to read the room, tailor your communication to diverse audiences, and identify detractors, champions, and key decision-makers - Strong written and verbal communication, with a track record of producing clear technical documentation and explaining complex ideas to developers, architects, and C-suite executives alike - Ability to effectively articulate complex ideas to both technical and non-technical audiences - Ability to empathize with prospects’ challenges and goals - Skilled listener with innate curiosity - Passionate about innovative technology, technical sales, and articulating value to prospects - Enjoys working with prospects and is comfortable interacting with C-suite executives from both technical and business perspectives PREFERRED QUALIFICATIONS - Experience in enterprise ecommerce or retail technology environments - Hands-on familiarity with at least two major ecommerce platforms, including how each handles catalog structure, extensions, and headless versus templated frontends - Deep understanding of data mapping between backend systems such as PIM, ERP, or legacy search indexes into a new target schema, possibly including product and variant structures, facets, attributes, and pricing logic - Working knowledge of search and discovery concepts - Experience supporting security reviews and procurement requirements, including GDPR, data processing agreements, data residency, and ISO 27001 or SOC 2 questionnaires - Ability to build business value models that connect search improvements to revenue, conversion, or average order value - Exposure to conversational or agentic shopping experiences, or retail media and sponsored product programs WHAT SUCCESS LOOKS LIKE - Prospects clearly understand technical integration paths - Proof Schedules(deeply tailored, data-backed custom demo, similar to a “proof of value”) align tightly with business outcomes - Technical objections are addressed proactively and effectively - Sales cycles are accelerated through a strong technical partnership - Product and Engineering receive actionable, structured market feedback - Qualitative (peer and prospect feedback) and quantitative (sales metrics and customer health scores) feedback will be positive and ideally, excellent WORKING STYLE - Comfortable operating in a remote, distributed, and highly cross-functional environment - Able to manage multiple sales engagements and priorities simultaneously - A builder mindset that is proactive in creating structure in ambiguous environments - Highly collaborative with a strong sense of ownership and autonomy - Commercially aware and aligned with revenue and sales growth goals - Resourceful self-starter who can operate autonomously You’ll Thrive Here If… You’re a curious, skilled listener who genuinely enjoys untangling a prospect’s technical challenges. You get energy from tinkering and building, whether that’s a quick prototype, an integration blueprint, or a better internal process. You’re as comfortable whiteboarding with an engineering team as you are presenting to a CTO. And you have a competitive streak—not just to win the technical evaluation, but to show how the right technical decisions drive meaningful business results. BENEFITS - 🏝️ Unlimited vacation time -we strongly encourage all of our employees take at least 3 weeks per year - 💰 A competitive compensation package including stock options - 🌎 Fully remote team - choose where you live - 🛋️ Work from home stipend! We want you to have the resources you need to set up your home office - 💻 Apple laptops provided for new employees - 🧑‍🎓 Training and development budget for every employee, refreshed each year - 👪 Parental leave for qualified employees - 🧠 Work with smart people who will help you grow and make a meaningful impact   DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

We are seeking a hands-on, systems-driven RevOps Manager to own the data, tools, and processes behind every stage of our revenue funnel: signup, trial, paid, renewal, expansion, and churn. You will own our CRM, our funnel data, the weekly revenue scorecard, and the workflows that move accounts from one stage to the next.

Location: Germany; Spain; Romania; Serbia; Warsaw 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. About The Role About the role We are looking for a Senior Data Analyst, Lifecycle to own measurement and experimentation for how new customers activate and existing ones stay.The metrics are yours whatever the lever: CRM campaigns, promos and incentives, onboarding changes in the product, and a next best action layer that decides what each customer should see next. You decide what we test, how we test it and what we do with the answer. You also bring your own hypotheses on where the next win is. What You'll Do What you'll do Join activation and retention initiatives before anything is built, whether they come from CRM, growth or product. Define the primary metric, check against historical data whether the effect is detectable at our volumes, and turn solution-shaped requests into problem-shaped ones. Design and analyse experiments end to end: hypothesis, guardrails, audience split, MDE and power, stopping rule, and a readout that ends in ship, iterate or kill. Correct for channel and engagement bias (not everyone opens email, and open and click populations are self-selected). When a clean A/B is impossible, use causal inference: diff-in-diff, matching, synthetic control or geo designs. Bring hypotheses of your own. Launch a few new experiments across onboarding and the customer lifecycle, and turn one-off wins into recurring segmented flows. Build deliberately simple models: segmentation, propensity, churn and dormancy scoring. They feed audiences, personalisation and incentive targeting. Over time these come together into next best action: for a given customer, which offer, feature nudge or message to send next, through which channel, and whether to send anything at all. You own the logic and the measurement of whether it beats the current rules. Automate your own recurring work: audience refresh jobs, readout templates, dashboards for Activation, Onboarding and Retention. Ship models the Databricks way (scheduled jobs write tables, tables map into downstream tools such as Braze) and bring engagement data back into the warehouse to close the loop. What You Bring What you bring Strong SQL and Python, and a Git-based warehouse workflow with code review. Experiment design, statistics and metric design you can defend. BI experience, Power BI/Tableau or similar. Stakeholder management and business sense: you can push back, reframe a request and land a recommendation with a non-technical audience. Curiosity and ownership. You run your area without waiting to be asked. Nice To Have Nice to have Causal inference methods and a clear sense of when each one is valid. Clustering and segmentation that ends up in use, not in a slide. Predictive modelling with honest validation. Uplift modelling is a plus. Braze or a comparable CRM platform: audiences, canvases, native split testing, channel mechanics and their biases. 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: Cyprus; 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. About The Role About the role We are looking for a Senior Data Analyst, Lifecycle to own measurement and experimentation for how new customers activate and existing ones stay.The metrics are yours whatever the lever: CRM campaigns, promos and incentives, onboarding changes in the product, and a next best action layer that decides what each customer should see next. You decide what we test, how we test it and what we do with the answer. You also bring your own hypotheses on where the next win is. What You'll Do What you'll do Join activation and retention initiatives before anything is built, whether they come from CRM, growth or product. Define the primary metric, check against historical data whether the effect is detectable at our volumes, and turn solution-shaped requests into problem-shaped ones. Design and analyse experiments end to end: hypothesis, guardrails, audience split, MDE and power, stopping rule, and a readout that ends in ship, iterate or kill. Correct for channel and engagement bias (not everyone opens email, and open and click populations are self-selected). When a clean A/B is impossible, use causal inference: diff-in-diff, matching, synthetic control or geo designs. Bring hypotheses of your own. Launch a few new experiments across onboarding and the customer lifecycle, and turn one-off wins into recurring segmented flows. Build deliberately simple models: segmentation, propensity, churn and dormancy scoring. They feed audiences, personalisation and incentive targeting. Over time these come together into next best action: for a given customer, which offer, feature nudge or message to send next, through which channel, and whether to send anything at all. You own the logic and the measurement of whether it beats the current rules. Automate your own recurring work: audience refresh jobs, readout templates, dashboards for Activation, Onboarding and Retention. Ship models the Databricks way (scheduled jobs write tables, tables map into downstream tools such as Braze) and bring engagement data back into the warehouse to close the loop. What You Bring What you bring Strong SQL and Python, and a Git-based warehouse workflow with code review. Experiment design, statistics and metric design you can defend. BI experience, Power BI/Tableau or similar. Stakeholder management and business sense: you can push back, reframe a request and land a recommendation with a non-technical audience. Curiosity and ownership. You run your area without waiting to be asked. Nice To Have Nice to have Causal inference methods and a clear sense of when each one is valid. Clustering and segmentation that ends up in use, not in a slide. Predictive modelling with honest validation. Uplift modelling is a plus. Braze or a comparable CRM platform: audiences, canvases, native split testing, channel mechanics and their biases. 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: Amsterdam; Cyprus 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. About The Role About the role We are looking for a Senior Data Analyst, Lifecycle to own measurement and experimentation for how new customers activate and existing ones stay.The metrics are yours whatever the lever: CRM campaigns, promos and incentives, onboarding changes in the product, and a next best action layer that decides what each customer should see next. You decide what we test, how we test it and what we do with the answer. You also bring your own hypotheses on where the next win is. What You'll Do What you'll do Join activation and retention initiatives before anything is built, whether they come from CRM, growth or product. Define the primary metric, check against historical data whether the effect is detectable at our volumes, and turn solution-shaped requests into problem-shaped ones. Design and analyse experiments end to end: hypothesis, guardrails, audience split, MDE and power, stopping rule, and a readout that ends in ship, iterate or kill. Correct for channel and engagement bias (not everyone opens email, and open and click populations are self-selected). When a clean A/B is impossible, use causal inference: diff-in-diff, matching, synthetic control or geo designs. Bring hypotheses of your own. Launch a few new experiments across onboarding and the customer lifecycle, and turn one-off wins into recurring segmented flows. Build deliberately simple models: segmentation, propensity, churn and dormancy scoring. They feed audiences, personalisation and incentive targeting. Over time these come together into next best action: for a given customer, which offer, feature nudge or message to send next, through which channel, and whether to send anything at all. You own the logic and the measurement of whether it beats the current rules. Automate your own recurring work: audience refresh jobs, readout templates, dashboards for Activation, Onboarding and Retention. Ship models the Databricks way (scheduled jobs write tables, tables map into downstream tools such as Braze) and bring engagement data back into the warehouse to close the loop. What You Bring What you bring Strong SQL and Python, and a Git-based warehouse workflow with code review. Experiment design, statistics and metric design you can defend. BI experience, Power BI/Tableau or similar. Stakeholder management and business sense: you can push back, reframe a request and land a recommendation with a non-technical audience. Curiosity and ownership. You run your area without waiting to be asked. Nice To Have Nice to have Causal inference methods and a clear sense of when each one is valid. Clustering and segmentation that ends up in use, not in a slide. Predictive modelling with honest validation. Uplift modelling is a plus. Braze or a comparable CRM platform: audiences, canvases, native split testing, channel mechanics and their biases. 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: Canada, Waterloo, ON Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. At PlayStation, we're passionate about both partnership and technology. We care about building performant products and powerful tools, solving practical problems in delightful ways. We love building the systems that millions of people use, and we're always our own first customers and critics. We strive to be at the forefront of development technologies and celebrate our diversity with engineering teams located on four continents from all walks of life. We build our teams to be places where every voice is heard, all input is valued, and our members have the creative freedom to make their ideas real. Sr Software Development Engineer in Test , ML Locations: Madison, WI and Waterloo, Ontario Canada P layStation is seeking a Sr Software Development Engineer in Test, ML to join our Madison team and lead quality efforts for machine learning-powered products and services. You will partner closely with ML engineers, software engineers, product managers, and data partners to build scalable test automation and validation approaches for systems serving PlayStation at global scale. This role is focused on building confidence in model reliability, production readiness, and behavioral consistency. Unlike traditional software backend testing, success here requires validating probabilistic systems through score distributions, cohort-level behavior, thresholds, and statistical signals, not just deterministic pass/fail assertions. Responsibilities: Drive architecture-level automation solutions and scalable quality engineering practices across multiple teams and product areas. Design, develop, and maintain automated test frameworks, test scripts for ML inference services and related ML platform components using python/Java Build and automate realistic, representative test account creations and datasets to evaluate model behavior across different scenarios Validate score distributions, ranking behavior, output quality, and other model signals for incoming ML models prior to release Perform different types of testing, including functional, integration, regression and API testing working with RESTful APIs, microservices and databases, and non-functional performance and load testing to verify inference service scalability, latency requirements and reliability under production like conditions Work closely with ML engineers and ops teams to ensure that all features and bug fixes come with automated test coverage, ensuring continuous integration and deployment Debug and analyze test failures, model anomalies and report defects Drive high standards of quality for both engineering decisions and customer-facing features with optimal test and automation strategy Develop and implement best practices for test automation that is highly scalable and maintainable Monitor test execution and optimize performance in test environments Come up with innovative solutions to organizational problems Required Qualifications: A Bachelor's degree in Computer Science or related field Minimum 5 years of experience as an SDET, with strong experience testing backend systems. Proficiency in Python/Java/Scala/go for test automation. Hands-on experience with API testing tools (e.g., Postman or similar) for distributed systems Familiarity with CI/CD pipelines and test execution in Jenkins or similar environments such as jenkins, GitHub Actions, ArgoCD, etc Hands-on experience building and maintaining automated test frameworks (e.g., pytest, JUnit, TestNG, etc.)Experience in working with databases  for backend validation. Experience with cloud and container technologies (AWS, GCP, Kubernetes, Docker, etc.) Familiarity with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, etc.) for validating service health Strong understanding of software development lifecycle (SDLC) and agile methodologies. Excellent problem-solving skills and excellent communication skills. Preferred Qualifications: Experience testing machine learning systems, such as recommendation systems, search ranking systems, or other probabilistic ML application systems. Experience creating synthetic or seeded test data to simulate realistic customer/account behaviors. Experience evaluating model outputs using statistical techniques, distribution analysis, or scenario-based validation, rather than deterministic assertions. Knowledge of data pipelines, feature stores, inference systems or model-serving infrastructure (Seldon, KServe, Ray Serve, etc.) is a plus. Experience with performance and load testing tools Experience with Databricks or similar ML platform tooling Experience architecting and optimizing CI/CD pipelines, quality gates, and release validation systems using Jenkins or similar platforms. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. The estimated Ontario base pay range for this role is listed below. $114,000 — $143,000 CAD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.