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Location: South Africa; Philippines; North Macedonia; Morocco; Serbia; Bosnia and Herzegovina About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. About the company Our client is a dynamic recruitment and talent solutions platform dedicated to bridging the gap between high-growth startups and top-tier professional talent. By leveraging innovative sourcing strategies and deep industry insights, the team helps organizations across various sectors scale their operations with precision. They specialize in identifying specialized skill sets for modern businesses, ensuring that both candidates and employers find the perfect alignment for long-term success. As a fast-growing player in the human capital and HR technology space, the company operates with a remote-first mindset that prioritizes efficiency and impactful connections. The team is driven by a mission to modernize the hiring experience through data-informed decision-making and a highly collaborative internal culture. For professionals looking to make a significant impact within a scalable, forward-thinking environment, this organization offers an exciting opportunity to shape the future of talent acquisition and workforce development. Job Summary We are seeking a high-energy, hands-on Business Development Manager to lead a team of four specialists while maintaining an active presence on the front lines of sales. This is not a "sideline" management role; it is a position for a true sales leader who thrives on coaching, analyzing data, and closing deals. You will be responsible for driving accountability, optimizing outbound campaigns, and ensuring the team consistently hits aggressive revenue goals within the staffing and recruiting industry. If you are an expert at turning raw data from tools like Apollo and Aircall into actionable sales strategies, we want to hear from you. Key Responsibilities Team Leadership & Performance: Manage, coach, and mentor a team of four Business Development Specialists, conducting weekly 1-on-1s and sales meetings to drive KPI accountability. Sales Strategy & Optimization: Analyze outbound campaign performance (reply rates, meetings booked, and conversions) to refine messaging, target personas, and outreach sequences. Data-Driven Coaching: Utilize Apollo, Aircall, and CRM analytics to diagnose underperformance, review call recordings, and lead role-play sessions to improve the team's objection handling and discovery techniques. Personal Production: Lead by example by maintaining a personal pipeline and closing a minimum of one new deal per month. Pipeline Management: Monitor CRM discipline to ensure all prospects, opportunities, and agreements are accurately tracked and forecasted. Discovery & Closing Support: Join team discovery calls to assist in uncovering pain points, identifying decision-makers, and advancing prospects toward signed agreements. Requirements Minimum of 5 years of experience managing or supervising a Business Development or Sales team. Proven experience in the BPO, RPO, or Direct Staffing industry is mandatory. Expert-level proficiency in outbound prospecting, including cold calling, email sequencing, and LinkedIn Sales Navigator. Strong analytical skills with the ability to diagnose why a campaign or representative is underperforming using specific data metrics. Mastery of the full sales cycle: prospecting, discovery, objection handling, and closing. Ability to create and implement performance recovery strategies when KPIs are not met. Excellent written and verbal communication skills with a focus on value-based selling. Advanced experience with Apollo, Aircall, and LinkedIn Sales Navigator. Familiarity with multi-channel sales sequencing tools and advanced CRM reporting. Experience developing custom sales training modules and rebuttals for the staffing industry. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Lagos, Nigeria Who we are We’re a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience. The position At Renmoney, we’re solving real-world problems with innovation, technology, and a mission to deepen financial inclusion. As Executive Assistant, you will work directly with our C-suite and play a critical role in driving efficiency, strategic alignment, and operational excellence across the organization. This is more than an administrative role: you will be a thought partner, execution leader, and force multiplier for executive leadership. What you’ll do Serve as a key liaison between the Executive Office and internal/external stakeholders, ensuring information flows smoothly and priorities are well-coordinated Track high-impact initiatives and business priorities, ensuring follow-through and accountability across departments Prepare briefing documents, reports, presentations, and memos for executive decision-making Facilitate effective meetings by developing agendas, recording and following up on action items, and supporting communication between cross-functional teams Lead special projects and initiatives on behalf of the Executive Office Manage executive calendars, travel plans, and high-level engagements with discretion and foresight Conserve the leadership team’s time by proactively anticipating needs, handling sensitive correspondence, and supporting day-to-day business operations Maintain an organized and secure system for managing executive documents and strategic materials Provide critical support during board meetings, strategy offsites, and external stakeholder engagements Requirements Proven ability to operate in fast-paced, high-growth environments Experience supporting C-suite leaders directly, coordinating across department heads, and managing external parties such as key partners Strong business writing and presentation skills for executive audiences Proficiency with Microsoft Office tools and report development Education & Experience Bachelor’s degree in any field (a business-related degree is a plus) Minimum of 3 years of experience supporting executive leadership or leading operational functions Experience in tech, financial services, or a startup environment is an advantage Based in Lagos, Nigeria, with eligibility to work in Lagos, Nigeria Benefits You’ll receive competitive compensation and work with passionate, driven people. You’ll collaborate directly with leadership on strategic initiatives and help shape the future of a brand solving meaningful problems. You'll be part of a flat, agile structure where your work creates real impact.

Location: Dubai, United Arab Emirates We are currently hiring for a growing Dubai-based real estate agency (brokerage) focused on providing reliable property solutions to residents, investors, and businesses. We work across residential, commercial, off-plan, secondary, and investment properties, helping clients make informed decisions in Dubai's dynamic real estate market. As we continue to expand, we are looking for motivated, sales-driven, and knowledgeable Property Consultants to join our team on a commission-based basis. As a Property Consultant, you will be responsible for building and managing client relationships, identifying suitable properties, conducting viewings, negotiating transactions, and supporting clients throughout the buying, selling, and rental process. The ideal candidate should have a good understanding of the Dubai/UAE property market and be comfortable working in a fast-paced, target-driven environment. Only candidates currently based in the UAE will be considered. This is a commission-based opportunity and is best suited for motivated property consultants who are looking to build a strong pipeline and grow their earnings through performance. Key Responsibilities Generate and develop new client relationships through networking, referrals, prospecting, and other business development activities. Assist clients with buying, selling, and renting residential and commercial properties. Maintain and manage multiple property listings and client requirements. Provide clients with accurate information on property prices, market trends, locations, and investment opportunities. Conduct property viewings and presentations. Negotiate offers and facilitate transactions between buyers, sellers, landlords, and tenants. Build and maintain a strong pipeline of potential clients and opportunities. Stay updated on Dubai real estate market trends, new developments, regulations, and investment opportunities. Maintain accurate records of clients, listings, and transactions. Work closely with the team while also managing your own client portfolio independently. Deliver a professional and high-quality client experience throughout the transaction. Requirements Minimum 1 year of experience in the Dubai/UAE real estate market. Knowledge of the off-plan market, secondary market, or both . Solid understanding of the Dubai property market, local regulations, and market trends. Strong sales, negotiation, communication, and relationship-building skills. Fluency in English is mandatory. Additional languages such as Russian, Mandarin, Arabic, French, German, Spanish, Farsi are highly desirable. Valid UAE driving license is mandatory. Ability to manage multiple listings, clients, and transactions effectively. Self-motivated, ambitious, and sales-driven. Ability to work independently while contributing effectively as part of a team. Comfortable working in a fast-paced, on-site environment. Benefits Competitive commission structure. Full access to both off-plan and secondary markets with no area restrictions. Premium property portal access. Company resources and marketing support. Diverse, friendly, and lively working environment. Opportunity to grow with a fast-growing Dubai brokerage. Access to a broad range of property opportunities across the Dubai market.

Location: San Mateo Workplace: Hybrid Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. ABOUT THE COMPANY Our client is a fast-growing AI infrastructure company that has built a state-of-the-art data curation platform used to train some of the most demanding deep learning models in the world. Their technology automatically curates and optimizes petabytes of training data — algorithms that are modality-agnostic and require no labels — to make model training dramatically faster and more efficient. Customers see results that speak for themselves: 7x–40x faster training, model performance equivalent to training on 10x more raw data, and smaller models (with less than half the parameters) that outperform larger ones and substantially cut deployment costs. Backed by $57.5M raised across Seed and Series A, with investors including Microsoft, Amazon, Felicis, and AI luminaries like Geoff Hinton, Yann LeCun, and Jeff Dean, our client has built a lean team of ~60 people. This is a company already proving out results with real enterprise customers. THE MISSION Foundational models are only as good as the data they're trained on. Our client exists to close the gap between raw data and truly optimized training data — without requiring labels, without adding compute cost, and without forcing customers to compromise on model quality. Every strategic account this team lands is a chance to prove that better data curation, not just bigger models, is the unlock the industry has been missing. THE OPPORTUNITY As Forward Deployed Engineer (Post-Sales), this is a rare role at a company small enough that your fingerprints will be on every major account, and well-funded enough that the roadmap, the compensation, and the customer roster are all already real. You'll be one of the founding members of the post-sales technical org, working directly with strategic enterprise accounts to take them from signed contract to production deployment — and shaping the playbooks that the next wave of hires will use. If you've been looking for a role that lets you stay hands-on with distributed systems and model training while also owning the high-stakes customer relationships, this is that role. WHAT YOU'LL DO - Own end-to-end onboarding, deployment, and production rollout of the platform for strategic enterprise accounts — from first technical conversation through stabilization and beyond - Serve as the primary technical point of contact for your accounts, building long-term relationships and driving adoption across complex on-prem and hybrid environments - Design scalable, secure workflows spanning compute, storage, networking, and distributed systems across AWS, GCP, Azure, and on-prem Kubernetes - Translate ambiguous, real-world customer requirements into concrete technical architecture — there's no pre-written spec waiting for you; you help define the problem - Build the processes and playbooks for post-sales deployment from 0→1, knowing that what you build now becomes the foundation for the team scaling behind you - Partner cross-functionally with Sales, Engineering, and Research, relaying field learnings that directly shape the product roadmap - Travel to customer sites as needed (roughly 15%) to support critical deployments and high-stakes engagements WHAT YOU BRING - 5–10 years of experience in a post-sales individual-contributor capacity, owning customer deployments as a Forward Deployed Engineer, Post-Sales Solutions Engineer/Architect, Implementation Engineer, Machine Learning Engineer, or customer-facing engineer - Hands-on machine learning and model training experience — you understand pre-training, mid-training, and post-training concepts, not just how to call an API - Real experience deploying software into enterprise customer infrastructure - Strong Python proficiency (required) and AWS proficiency (required) - A track record of owning the full post-sales enterprise lifecycle — onboarding, optimization, and everything in between - Experience building post-sales processes or playbooks from scratch - Comfort operating in ambiguous, high-stakes, and fast-moving environments — startup or high-ambiguity experience is a plus - A technical degree (CS or equivalent) - A demonstrated ability to translate messy, ambiguous customer requirements into clean, concrete architecture - Willingness to travel to customer sites as needed (roughly 15%) - Nice to have: exposure to multi-cloud environments (GCP, Azure), on-prem or hybrid Kubernetes, or broader ML tooling — not required, but a strong differentiator Note: This role is built for people who bring both deep post-sales, customer-facing deployment experience and hands-on ML/model training expertise with measurable results. If you're strong in only one of these two areas, this likely isn't the right fit — but we'd still encourage a conversation if you're close. WHY JOIN? - Compensation: $230,000–$300,000 base plus extremely competitive equity - Health benefits: 100% covered health benefits (medical, vision, and dental) - 401(k): 401(k) plan with a 4% company match - Time off: Unlimited PTO - Wellness: Annual $2,000 wellness stipend - Learning & development: Annual $1,000 learning and development stipend - In-office perks: Daily lunches and snacks provided in the office - Relocation: Relocation assistance for employees moving to the Bay Area - Real ownership: With a lean team of ~60 people, you'll be the technical owner of some of the company's most strategic customer relationships - Proven in production: You're joining a company whose product already delivers 7x–40x faster training and measurable model performance gains for real customers - Backing that matters: $57.5M raised from Microsoft, Amazon, Felicis, and AI pioneers including Geoff Hinton, Yann LeCun, and Jeff Dean - Hybrid setup: 4 days per week in the San Mateo, CA office, with the rest of the team building alongside you in person - Visa support: Open to visa transfers, including OPT and H-1B transfers INTERVIEWING PROCESS - Initial Screen — Assesses background, interest, culture fit, comp expectations, and logistics - Hiring Manager Technical Screen (30 min) — Evaluates distributed systems experience, cloud infrastructure (AWS/GCP/Azure), Kubernetes, and post-sales/customer-facing mindset - Coding Screen (1 hour) — Live coding in Python with end-to-end debugging - On-site (3.5 hours) — System design/architecture discussion, technical deep dives, behavioral/stakeholder scenarios, and cross-functional interviews with Sales, Engineering, and Research We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

Location: Brooklyn, NY 📍 Location: Brooklyn, NY 🕒 Schedule: Monday to Friday, 4:00 PM to 7:00 PM 🏠 Setting: 1:1 in-home ABA therapy About the role LBAPS is seeking a Registered Behavior Technician (RBT) for a 1:1 in-home case in Brooklyn. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ High school diploma required ✅ Experience working with children required ✅ Patient, compassionate, and dependable ✅ Passionate about helping learners grow and reach their full potential What we offer 💰 $25–$30/hour, depending on experience 📩 Apply today to be considered.

Location: Remote Workplace: Remote Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. Our most active users deserve a relationship with Phantom, not a ticket queue. We are launching an invite only VIP program in app messaging with a real person, enhanced support, and exclusive experiences. You will be its first dedicated hire. As a VIP Account Manager, you are the first point of contact for VIP members inside the app. You will own these relationships end to end: welcoming new members, resolving issues personally, pulling in support and engineering when a case needs them, and staying with it until it is closed. You will help shape the playbook for the team we build around you as the program scales toward round the clock coverage. You will work closely with the VIP program lead, support, marketing, product, and design. RESPONSIBILITIES - Be the personal, named contact for VIP members in our in-app messaging hub - Own member relationships end to end: onboarding and welcome, proactive check-ins, and follow through on every issue until it is resolved. - Handle high stakes situations such as compromised wallets, missing funds, and large transactions with urgency, precision, and discretion. - Triage and escalate: bring in support agents, engineering, or leadership when a case warrants it, and own the communication back to the member. - Meet members where they are: in-app chat first, plus email, X, Telegram, and Discord. - Coordinate the moments beyond support: welcome gifts, event experiences, and early access to new features. - Turn conversations into leverage: channel member feedback to product, build playbooks, and help define the response time and satisfaction standards for the VIP team. - Help design and scale the program from a small founding cohort to thousands of members, and eventually 24/7 coverage. QUALIFICATIONS - 4+ years in premium or VIP support, account management, or customer success, ideally at a sports betting platform, crypto exchange, wallet, brokerage, or fintech app. - Deep crypto fluency: you understand self custody and can navigate multiple chains, reading a block explorer, tracing a transaction, and telling an L2 gas issue apart from a bug. - Exceptional written communication: warm, concise, and human, even under pressure. - Absolute discretion: for high value users, privacy and trust are the product. - Security first instincts: you know the social engineering patterns targeting crypto users, and you would never ask anyone for a seed phrase. - Comfort with ambiguity and ownership: you are the first hire in a new function and will build much of the process yourself. - Time zone flexibility: our members are global and markets do not close, so some evening and weekend availability is part of the job. - Nice to have: experience serving high net worth clients at an exchange or brokerage. - Nice to have: hands on experience with Zendesk and AI support tooling. - Nice to have: fluency in more than one language, or an active Phantom user with real on chain history.   Why Work With Us Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.   - Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world. - Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless. - Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation. Benefits (only available to full-time employees) - Competitive salary and equity - Comprehensive insurance (medical/dental/vision): base plan 100% covered - Flexible hours and a long-standing, supportive remote environment - Unlimited vacation: Take time when you need it (and we really mean it!) - 401(k) retirement plan - Wellness stipend - Weekly meal stipend - Learning & Development stipend - Remote / WFH set-up stipend We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.

Location: Brooklyn, NY 📍 Location: Brooklyn, NY 🕒 Schedule: Monday to Friday, 4:00 PM to 7:00 PM 🏠 Setting: 1:1 in-home ABA therapy About the role LBAPS is seeking a Registered Behavior Technician (RBT) for a 1:1 in-home case in Brooklyn. You will deliver ABA sessions under the direction of a supervising BCBA and record session data. What we are looking for ✅ High school diploma required ✅ Experience working with children required ✅ Patient, compassionate, and dependable ✅ Passionate about helping learners grow and reach their full potential What we offer 💰 $25–$30/hour, depending on experience 📩 Apply today to be considered.

Location: India About HIKINEX HIKINEX is a multi-channel integrated service provider helping companies scale faster, boost efficiency, and drive greater profitability. We build dedicated remote teams in sales, recruitment, marketing, and operations so our clients can work on their business instead of in it. Role Summary We're looking for a motivated Marketing Associate to support our growing Marketing Department across content, campaigns, creative production, and marketing operations. This is an excellent opportunity for someone early in their marketing career who is eager to learn, take ownership, and develop across multiple areas of marketing. You'll work closely with the Creative Director, Content Strategist, Designers, and Marketing Leads while gaining hands-on experience in branding, content creation, social media, campaign execution, project coordination, and AI-assisted marketing. Beyond supporting campaigns, you'll play an important role in keeping the Marketing Department organized by coordinating projects, maintaining documentation, managing marketing assets, and ensuring deliverables move efficiently through the team's workflow. We're building an AI-first Marketing Department, so curiosity about AI tools and a willingness to adopt new technologies is highly encouraged. Key Responsibilities Assist with creating and editing marketing materials in Canva (social media posts, presentations, one-pagers, landing page assets, etc.). Support the Creative Director and Content Strategist with day-to-day marketing initiatives. Schedule and publish content across social media platforms. Coordinate marketing campaigns, product launches, and internal marketing activities. Organize and maintain the department's digital asset library, ensuring files are consistently named, categorized, and easy to locate. Update and maintain project progress in project tracking tools. Conduct research to support marketing campaigns, products, competitors, and industry trends. Proofread and format marketing content before publication. Track project timelines and follow up with team members to ensure deliverables stay on schedule. Help create and maintain SOPs, templates, training materials, and marketing documentation. Support recruiting and employer branding initiatives when required. Leverage AI tools to accelerate research, content creation, documentation, and administrative tasks. Take ownership of assigned work, communicate progress proactively, and identify blockers early. Required Skills Strong organizational and time management skills. Excellent attention to detail. Good written and verbal communication skills. Working knowledge of Canva. Comfortable learning new tools and software quickly. Ability to manage multiple projects simultaneously. Problem-solving mindset with a proactive approach. Comfortable working in a fast-paced environment where priorities may change. Tools & Technologies Canva, Microsoft 365 AI Tools HIKINEX is building an AI-first Marketing Department. Familiarity with tools such as ChatGPT, Claude, Canva AI, or similar AI productivity tools is highly desirable. We encourage continuous learning and experimentation with AI to improve efficiency and quality of work. Experience Required 0–2 years of experience in marketing, internships, or related projects. No formal degree required. Relevant experience, personal projects, certifications, or a strong portfolio are equally valued. Experience using Canva or similar design tools is preferred. Work Samples Please include 2–3 examples of work you're proud of. This could include social media posts, presentations, personal projects, university work, marketing campaigns, or content you've created. Professional experience is not required — we're interested in your potential, creativity, and attention to detail. Who Will Thrive in This Role You're organized, curious, and eager to learn. You enjoy bringing structure to fast-moving projects, communicating with people, and helping teams stay organized. You're excited to build your marketing career, comfortable using technology to work smarter, and willing to take ownership as your responsibilities grow. We Encourage You to Apply If you don't meet every requirement listed above, we still encourage you to apply. We're looking for people with curiosity, initiative, and a willingness to learn. Skills can be developed over time — we value attitude, ownership, and growth potential just as much as experience.

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

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

Location: London, United Kingdom Workplace: none About InvestEngine We’re a ~200-person, AI-first fintech. We move fast, we expect people to own things end to end, and we don’t have a lot of specialist support infrastructure to hide behind — if you spot a gap, you’re expected to close it, not escalate it and wait. About the role We’re hiring our first dedicated Analytics Engineer at InvestEngine. This is a foundational hire: you’ll sit at the intersection of data engineering, analytics engineering, and business partnership — turning raw, disparate data into governed, trustworthy models that the rest of the company makes decisions on. You won’t just write dbt models in isolation. You’ll work directly with stakeholders across the business — Product, Engineering, Risk, Finance, Investment, Marketing — to understand the problems they’re actually trying to solve, then design and ship the pipelines, models, and semantic layer that solve them. You’ll also help shape how we use AI-enabled tooling to make the whole analytics function faster, and how we structure our data so that AI tooling can be trusted to answer questions about it. We’re actively modernising our data stack, and we want the person in this role to shape it. Some of it is in place, some of it is being rebuilt, and some of it hasn’t been decided yet. If you have informed opinions about orchestration, ingestion, testing, semantic layers, or BI — we want to hear them. Who thrives here We’ve pitched this at mid to senior level , but the honest position is that the level matters less than the appetite. The ultimate test is hunger, and the desire to shape this space and have real impact . If you’re technically strong but hungrier than your years of experience suggest, apply anyway — we’d rather have someone who wants to own this than someone who has simply done it before somewhere bigger. Beyond that, this role suits someone who: Operates well with ambiguity and limited structure. You’ll be the first analytics engineer here — no existing playbook, no dedicated data engineering team to lean on, no established BI function to slot into. You’ll be building a lot of it as you go. Wants a small, fast company on purpose — not just escaping bureaucracy elsewhere, but genuinely drawn to the trade-off: more ownership and visibility, less process and hand-holding. Lives in the tools, not in email chains. You default to GitHub, dbt, Slack/Notion, and automation over status meetings and Word docs. Can point to things they’ve actually built and shipped , not just designs or concepts they contributed to. Already uses AI to do the job better — Claude, Copilot, or similar — and is curious about where it can go further. Learns fast. We care more about how quickly you close a knowledge gap than how complete your CV looks today. Works well directly with Product, Marketing, Operations, and Engineering , not just with other analysts — this role sits right at that boundary. Our values Everyone at InvestEngine is expected to live these, and this role will be assessed against all five: Act like an owner — you take responsibility for outcomes, not just tasks Keep improving. Stay curious. — you push your own standards and the team’s, and you’re genuinely curious about better ways to work Achieve more together — you make the people around you (business stakeholders included) more effective, not just yourself Speak up. Share openly. — you flag risks, disagreements, and better ideas rather than sitting on them Put customers first. Create real value. — you build things because they solve a real problem, not because they’re interesting to build What you’ll do Analytics engineering & the semantic layer Design, build, and maintain dbt Core models that transform raw data into clean, well-tested, well-documented datasets Own and evolve our semantic layer — consistent metric definitions, business logic, and naming that the whole company can trust and query against Establish and enforce data modelling standards, testing practices, and documentation as the function scales Evaluate and help roll out modern BI tooling — experience with Lightdash, Omni, Looker, or Metabase all translates well — to make metrics genuinely self-serve for non-technical stakeholders Building the AI context layer Structure our models, metric definitions, documentation, and lineage so they’re machine-readable, not just human-readable — because our semantic layer is what AI tooling reasons over Make AI-driven analytics reliable: if two people (or two agents) ask the same business question, they should get the same answer, because the definition lives in one governed place Treat naming, documentation, and metric definitions as first-class engineering deliverables rather than afterthoughts, since they directly determine how trustworthy our AI-enabled BI is Use Claude to accelerate development — model scaffolding, code review, documentation, QA, and pipeline debugging — and Notion AI to keep documentation and runbooks current and genuinely useful Bring a point of view on where AI can responsibly speed up analytics engineering, and help the wider team adopt it well Data engineering & the platform Build and maintain ingestion and transformation pipelines across our stack. We use a modern data stack, such as AWS, Redshift, and Airflow Write production-quality Python for extraction, transformation, and automation tasks that fall outside dbt’s remit Help us modernise: we’re actively evolving this stack and expect you to challenge and improve it, not just operate it Warehouse cost & performance Own the performance and cost profile of our Redshift warehouse — you should be able to read a query plan, choose sensible sort and distribution keys, and design incremental models without being asked Spot and act on opportunities to reduce complexity and cost across our models and pipelines, rather than letting spend and technical debt accumulate quietly Make deliberate trade-offs between freshness, cost, and complexity — and explain those trade-offs to the business in terms they care about Data quality & observability Champion analytics engineering best practice across the company: testing, version control, code review, CI, and documentation applied to data the same way engineering applies them to software Build and own data quality, freshness, and pipeline monitoring so problems are caught by us before they’re caught by a stakeholder looking at a dashboard Set the standard for what “trustworthy data” means here, and hold the line on it as the volume of models and requests grows Upstream influence Work with our engineering teams to make sure application and event design accommodates reporting and analytics requirements before data reaches the warehouse — good analytics starts at the source, not in the transformation layer Influence payload and schema design for new services and product features, so we’re not permanently reverse-engineering business meaning out of operational tables Support analysts and business users with automation, tooling, and data engineering expertise, and provide training and guidance on how to use our data well Business partnership Work directly with stakeholders to understand their problems, not just their requested outputs — translate ambiguous business questions into pipeline and modelling requirements Act as a trusted advisor on what’s possible with our data, and push back constructively when a request doesn’t solve the underlying problem Support financial, operational, and regulatory reporting needs appropriate to a regulated investment platform Governance Apply our data classification and access model when onboarding sources: identify PII (including in free-text fields), decide what belongs in the sanitised analytics layer versus a restricted dataset, and document the outcome Implement least-privilege access across datasets, reports, and dashboards What we’re looking for Must-haves Hands-on production experience with dbt (we run dbt Core) — this is a hard requirement Strong SQL expertise Solid Python for data engineering and automation Working knowledge of AWS data services Experience with GitHub and GitHub Actions (or equivalent CI/CD tooling) for testing and deploying data code Experience with a modern BI tool (e.g., Lightdash, Omni, Looker, or Metabase), and a genuine interest in semantic layers (e.g., MetricFlow, Cube Core) and self-serve analytics Comfortable using AI tools as part of your day-to-day engineering workflow Strong communication — you can sit with a non-technical stakeholder, understand their real problem, and explain trade-offs in plain language Ownership: you’re comfortable being the first and only person in this role, and building things properly from scratch Nice-to-haves Airflow or similar orchestration tools, and familiarity with data ingestion tools such as dlt or Airbyte Warehouse cost and performance tuning, particularly on Redshift Fintech, investment management, or another regulated industry Handling PII responsibly in an analytics environment — sanitised vs. restricted datasets, role-based access tiers, automated PII detection Experience with Notion AI or Asana automations Day-to-day working style We favour clear thinking and simple, well-tested solutions over cleverness We expect you to engage directly with the business, not hide behind tickets — understanding the “why” behind a request is part of the job We’re genuinely trying to use AI to work faster and better, not as a buzzword — we want people who’ll experiment, share what works, and level up the team As the first analytics engineer, you’ll define what “good” looks like here: process, standards, and tooling included We believe data should be as accessible as it can safely be, and as restricted as it needs to be — good judgement applied consistently, not blanket lockdown Practical details Reports to: Chief Data Officer Team: Data & Analytics Level: Mid to Senior Location / working pattern: London / hybrid

Location: Remote in EMEA Location: This is a 100% remote role and is open to candidates residing in EMEA. Visa sponsorship is not available. About the job Testlio's fully managed crowdsourced testing platform integrates expert, on-demand testers directly into your release process. Ship faster and more confidently with global coverage across 600,000+ devices, 800+ payment methods, 150+ countries, and 100+ languages. To learn more, visit www.testlio.com . We are seeking an Engineering Manager to lead the team that owns every way the outside world connects to Testlio: our partner integrations, our public API, our identity and access surfaces. If a client’s Jira, a client’s CI pipeline, a client’s engineer, or a client’s AI agent touches Testlio, it goes through your team’s systems. This role reports to the Director, Engineering. Why will you love this job? Own the platform’s contract with the world. You’ll lead the one team that covers the whole programmatic perimeter: bi-directional sync with a dozen tools (Jira, Xray, Azure DevOps, GitHub, GitLab, Asana, Linear, Monday, TestRail, Trello, YouTrack, Slack), enterprise SSO, our public API. Build the API as a product, not a byproduct. We have a written public-API strategy: OpenAPI contracts as the source of truth, major and dated versioning, uniform auth, granular API roles, rate limiting, end-to-end request tracing. Make support self-serve. You’ll cut recurring support work at the source, with self-serve setup and diagnostics, integration health visible to the people who need it, and automation and permanent fixes instead of repeat manual triage. Partner with product and with real customers. You’ll work closely with a dedicated product manager on discovery, prioritization, and outcomes, and also directly with enterprise client engineering teams who build against our API. Why will you love being a part of Testlio? Great Culture: Testlio is a female-founded company, and half of our team identifies as women. We’re proud of our inclusive, purpose-driven culture where people genuinely enjoy collaborating. As part of our team (we call ourselves TestLions), you’ll help create exceptional digital experiences for our customers, while also contributing to our freelance network. Remote Work: Our culture is built around remote work. We’ve created systems to allow us to successfully work together asynchronously as a fully remote and globally distributed team. Testlio provides the tools and guidance for everyone to succeed in their careers in a fully remote setting. Our working style encourages everyone to make decisions, communicate effectively, and work at a sustainable pace. Investment in You: Your growth and well-being matter to us. You’ll have flexible paid time off—including national holidays, personal days, and sick days—plus stock options so you can grow with Testlio. We also provide a $300 annual learning stipend to support your personal and professional development. Winning Business: Testlio is growing, profitable, and cash-strong. We are leading our industry with exceptional clients who provide us with a high NPS score and a 4.7 rating on G2. Our business model is global, enterprise, and subscription-based. Several of our largest clients have been with us for 7+ years, and many spend $500K+/year with Testlio. What would your day look like? Shaping what's next Stay close to the code: Expect to spend roughly 20–30% of your time on hands-on engineering, including writing production code, providing substantive reviews on critical-path pull requests, and signing off on key technical designs. You'll help remove critical technical bottlenecks and contribute directly when needed, while empowering the team to own and deliver work independently. Public API strategy: Own Testlio's public API end to end: OpenAPI specifications kept current in every service repo and treated as the consumer contract, a coherent versioning and deprecation policy, consistent authentication and authorization on every endpoint, rate limiting, and traceability across the request path. Integration architecture: Set the multi-quarter technical direction for a sync platform that must stay correct across a dozen third-party APIs, each with its own data model, rate limits, and release cadence. Reduce per-vendor special-casing in favour of a common mapping and sync core. Roadmap ownership: Turn strategy into a sequenced roadmap with your product partner, and own technical delivery from concept to production. Running it with rigor Engineering operating rhythm: Establish effective planning, prioritization, and design review practices that balance delivery speed with long-term scalability. Technical leadership: Combine engineering vision and team mentorship with hands-on technical contribution, staying close to the codebase to understand the team's work and make informed technical decisions. Third-party dependency management : Own the risk that comes with depending on other people's APIs. Track vendor changelogs, deprecations and sunset dates, plan migrations before they become incidents, and keep credential, token, and connection failures from turning into client-visible outages. Production support and escalations: Own production support for your domains, including triage, escalation management, and root-cause resolution. Drive automation, self-serve setup, and permanent fixes that measurably reduce recurring support volume and improve operational efficiency. Reliability and observability: Define service level objectives for sync freshness, sync success rate, and API availability and latency; build the dashboards that make integration health self-serve; and lead root-cause analysis on production issues.Engineering standards: Ensure work is traceable and the Definition of Done is consistently met, minimizing escaped defects and keeping cloud costs in check. Team growth: Coach engineers technically, bring AI-assisted development workflows (e.g., Claude Code) into daily practice, and reduce knowledge silos through reviews and documentation. What do you need to succeed? Technical skills Engineering management: 5+ years managing a team of 4+ engineers in an agile, remote environment. Hands-on technical leadership: Recent experience writing production code and designing or evolving production systems. You are comfortable working directly in the codebase, contributing to implementation, reviewing code, and making architectural decisions alongside your team. Public or partner-facing API ownership: Proven experience designing, versioning, documenting, and deprecating APIs consumed by people outside your own company. You've made a breaking-change decision and lived with the consequences. OpenAPI, idempotency, pagination, webhooks, and rate limiting are familiar ground. Third-party integration systems: Experience building or running integrations against external APIs at scale: OAuth flows, credential storage and rotation, retries and backoff, queue and poison-message handling, conflict resolution in bi-directional sync, and per-tenant blast-radius control. Technical stack: Strong affinity with TypeScript and Node.js on AWS, including serverless (Lambda), DynamoDB, and event-driven patterns. Nice-to-haves Identity and access: Practical knowledge of OAuth 2.0, OIDC, SAML, and enterprise SSO, plus token scoping and least-privilege API roles. Broader stack familiarity: Kafka, GraphQL, Python, and React are a plus. Observability and performance: Experience with observability and APM tools (e.g., New Relic, Datadog, Sentry) and optimizing slow database transactions. Application security: Knowledge of application security best practices and integrating security review into the SDLC. Legacy modernization: Experience modernizing legacy systems or paying down significant technical debt while keeping a product running. SaaS experience: Prior experience managing a SaaS product is a plus. Human skills Fluency in English, with excellent written and verbal communication. Collaborative. Works effectively with product management and cross-functional partners in a distributed, asynchronous setting. Organized and thorough, with a meticulous approach to standards and process. Growth catalyst. Passionate about team productivity, technical excellence, and continuous improvement. Results-oriented, with data-driven decision-making. What is the application process? We do our best to bring on individuals who are excited about their role and have the potential for a great future with Testlio. Since we are 100% distributed, you'll meet with several people from our organization so you get a clear picture of who you'd work with and what the role expects. Our process typically takes 3 to 4 weeks. Application review Recruiter interview Hiring Manager Interview Live Technical Exercise 2 team and stakeholder interviews Reference checks Offer Diversity and inclusion Testlio is an equal-opportunity employer deeply committed to creating an inclusive environment for people of all backgrounds and identities. We are female-founded, and 46% of our team members identify as women. For more information, see the DEI section of our website. #LI-Remote

Location: Remote / Germany Orcrist is building a next generation data intelligence platform using cutting-edge technologies. We're handling petabyte-scale data with sub-second queries. Our product is a Kubernetes‑based platform delivered as B2B SaaS or as a self‑hosted on‑prem solution, including air‑gapped deployments. We enable customers across defense, law enforcement, and enterprise to turn mission-critical data into actionable intelligence. Role As Group ISB, you own the information security strategy, programme, and posture of the Vektor Group, from strategy to hands-on execution. You work in close operational partnership with the Director of Internal IT on technical controls and implementation. Your core mandate is ISO 27001 certification on the basis of BSI IT-Grundschutz, together with NIS-2 compliance: from gap analysis and controls implementation through audit readiness, ongoing maintenance, and the regulatory obligations arising under both frameworks. We build AI platforms for customers in the defence and government sector. Information security is a precondition for our business, not an afterthought. We are building the security organisation while the group grows. During this phase, everyone including leadership works hands-on: day-to-day operational security, direct support for the IT team, and tasks outside the boundaries of a traditional governance role. External consultants support the ramp-up. As the ISMS and the team mature, the balance shifts toward strategy and governance. What you'll do Build and operate the group-wide ISMS following BSI standards 200-1/200-2/200-3: structure analysis, protection needs assessment, modelling, risk analysis Create and maintain the security policy framework and processes at group level; coordinate company-specific additions Prepare and accompany ISO 27001 certification, run internal audits, work with external auditors Implement NIS-2 obligations: reporting processes, evidence management, corrective action tracking Manage risk across technical and organizational domains, including reporting to executive management Steer external consultants and service providers within the running programme Build and run the security awareness programme: training and sensitization Own incident response planning and coordinate during incidents, together with IT, Legal, and leadership Assess third-party and vendor risk, run security assessments for new tools and partners Work closely with the Director of Internal IT (technical controls: access governance, endpoint security, identity) and with platform engineering (interface to product security) Support sales and customer trust processes: security questionnaires, due diligence, customer audits Track further regulatory requirements (EU AI Act, Cyber Resilience Act, among others) and derive required action About you Several years of experience as an ISB or in comparable responsibility for information security Proven practice with BSI IT-Grundschutz: BSI standards 200-x and the Grundschutz-Kompendium, ideally including a completed certification procedure Experience building or leading ISO 27001 programmes, from gap analysis to audit readiness Solid risk management: you assess, prioritize, and communicate risk clearly to technical and non-technical audiences Willingness to work hands-on during the build-up phase Confident interaction with executive management, auditors, and customers German at C1 or above, English at B2 or above Nice-to-haves Certifications: IT-Grundschutz-Praktiker/-Berater, ISO 27001 Lead Implementer or Lead Auditor, CISSP, CISM Experience with security governance across multiple legal entities or jurisdictions Experience in regulated environments: defence, government, critical infrastructure; familiarity with VS-NfD, Geheimschutz, or AQAP Practical NIS-2 implementation experience Experience with sales-adjacent security processes (pre-sales, customer audits) What we offer Remote-first, Germany-wide: Work from wherever you do your best work, with regular team gatherings in Berlin and other off-site locations. Flexibility by default: Flexible working hours help you make work fit your life. Your setup, your way: Get a personal home-office equipment budget to create a workspace that works for you. 30 days of vacation: Take the time you need to recharge and come back with fresh energy. Keep growing: We invest in your personal and professional development. Get rewarded for impact: Performance bonuses are tied to agreed objectives and key results. A warm welcome: Every new team member gets a welcome goodie bag. Good people, good times: From summer and Christmas parties to regular team gatherings, we make time to celebrate together. A mission that matters: Work on challenges with tangible impact on public safety and national security.

Location: Dublin, IE About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As one of the founding Startup Account Executives in EMEA, you’ll pioneer the adoption of safe, frontier AI across the region by securing strategic deals with some of the fastest growing technology companies in the world. You’ll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you’ll build Anthropic's presence across EMEA's dynamic startup ecosystem, continuously refining our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. As an early member of our EMEA sales team, you'll help establish Anthropic's commercial foundation in the region while advancing the ethical development of AI technology. Responsibilities: Win new business and drive revenue for Anthropic. Find your way to the right people at prospective customers, educate them about LLMs, and help them succeed with Anthropic. You’ll own the full sales cycle, from first outbound to launch Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns Spearhead market expansion by pinpointing new customer segments and use cases, collaborating cross-functionally to differentiate our offerings and sustain a competitive edge Inform product roadmaps and features by gathering customer feedback and conveying market needs, providing insights that strengthen our value proposition and enhance the customer experience Help define our regional GTM operations and sales methodologies by incorporating learnings into playbooks, templates, and best practices You may be a good fit if you have: 5+ years of technical sales experience with a proven track record of driving adoption of emerging technologies with a consultative, solutions-oriented sales approach, preferably across EMEA markets Familiarity working within complex sales cycles, selling to technical stakeholders, and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions Success as a strategic business advisor, deeply understanding the needs of startup founders and creating innovative solutions that align with their vision and help them succeed Exposure to negotiating complex, customized commercial agreements with multiple stakeholders Demonstrated history of exceeding quota by effectively qualifying and advancing opportunities in a fast-paced work environment Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: €155.000 — €205.000 EUR Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

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

Location: Malmö About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team: Neo4j’s managed cloud offering, Aura, brings the power of graph databases to the cloud. We’re forming a new team - Aura DevEx, and are looking for an ambitious Engineer to help build it. Aura DevEx is an enabling team for the Aura SaaS and cloud platform and works to improve and simplify onboarding and use of the Aura platform. Our DB software is developed to be delivered both on-prem and to our SaaS offering and Aura DexEx will play a vital role in bridging development of the DB in our cloud environment. We make Aura usable for them — in person, in docs, in CLIs, and through AI. We also work on things coupled to the AI domain for Aura development: agent skill files, AI instructions, and the workflows that let humans and agents work in this repository safely and well. The mix that matters here is software engineering, developer experience, and practical AI — not platform engineering as a full-time job. The Role: Make Aura the place where the rest of Neo4j can build. Aura is a powerful environment, but a challenging one to enter. Aura DevEx exists so that “develop in Aura” is a product, not a tribal knowledge problem. You will work with all users of the platform - both avid users and people new to the platform. You’ll also work alongside teams to help them build on top of the platform. Between directly helping engineers you will take your learnings from the hands-on sessions and improve tooling and documentation or submit feedback to owning teams on how their devex could be improved. You will not own the delivery platform. You will partner closely with our Software Delivery team so the paved road stays the paved road, and with our platform teams to ensure engineers are empowered to extend the platform to meet their needs. What You'll Do: Help teams outside Aura develop in Aura: Meet Neo4j Database (non-Aura) engineers where they are. Reduce the Aura-specific overhead of getting a change built, tested, and running in a dev environment. Improve the workflows, docs, and tooling that engineers need, — whether they are people who care about the database, a single service, or an integration, rather than the whole platform. Support incubation and onboarding: help teams become productive in Aura without Aura DevEx owning their product. Work with Software Delivery when the right fix is on the paved road, and take the work that is about who is developing and how they get started . Give feedback to the various platform teams to ensure that the underlying platform is intuitive, pleasant to use, and extensible. Contribute to the AI domain for Aura development Maintain and evolve skill files and agent instructions (AGENTS.md, Cursor/Claude skills, and similar) so AI coding agents can operate in Aura with the same constraints we expect of humans. Put evaluation and feedback around AI workflows — quality, cost, failure modes, and whether they actually save engineers time. Help Aura and non-Aura teams adopt AI in their development process without each team inventing its own stack. Treat DevEx as a product Work closely with internal engineers (Aura and non-Aura) to identify pain points. Make the experience as positive as possible for someone who does not already know Aura. Observe how people and agents use the skills, docs, and tools you ship, and iterate on that evidence. What you’ll need: Strong collaboration and communication skills. Golang experience Experience using Golang for multiple software projects ranging from scripting to larger microservice-type applications. Some knowledge around the Golang build and packaging system. Solid software engineering experience, including shipping tools other engineers use (CLIs, libraries, internal platforms, or developer-facing services). Enough Kubernetes and container literacy to help someone develop in Aura — Pods, Deployments, Docker images, and how software gets onto a cluster. Deep operator/control-plane work is not the job; being lost in Kubernetes is not viable either. Experience with modern CI/CD and Git-based workflows: taking a change from a branch to something running in an environment. Clear writing. A large part of this job is skills, docs, and instructions that both humans and models follow. An interest in other developers’ pain points, especially people who are new to a platform, and the ability to design solutions that address those pain points. What’s nice to you have: Experience with “platform as a product” or developer experience work: interviewing users, caring about onboarding, measuring adoption. Experience maintaining AI skill files, agent instructions, MCP servers, or similar structured context for coding agents. Experience with Kubernetes-related developer tooling (Make, Kustomize, Helm) and with simplifying local workflows. Experience integrating software with Google Cloud Platform, AWS, or Azure. Experience with observability: tracing, logging, and metrics — including for AI workflows. #LI-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: London About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team: Neo4j’s managed cloud offering, Aura, brings the power of graph databases to the cloud. We’re forming a new team - Aura DevEx, and are looking for an ambitious Engineer to help build it. Aura DevEx is an enabling team for the Aura SaaS and cloud platform and works to improve and simplify onboarding and use of the Aura platform. Our DB software is developed to be delivered both on-prem and to our SaaS offering and Aura DexEx will play a vital role in bridging development of the DB in our cloud environment. We make Aura usable for them — in person, in docs, in CLIs, and through AI. We also work on things coupled to the AI domain for Aura development: agent skill files, AI instructions, and the workflows that let humans and agents work in this repository safely and well. The mix that matters here is software engineering, developer experience, and practical AI — not platform engineering as a full-time job. The Role: Make Aura the place where the rest of Neo4j can build. Aura is a powerful environment, but a challenging one to enter. Aura DevEx exists so that “develop in Aura” is a product, not a tribal knowledge problem. You will work with all users of the platform - both avid users and people new to the platform. You’ll also work alongside teams to help them build on top of the platform. Between directly helping engineers you will take your learnings from the hands-on sessions and improve tooling and documentation or submit feedback to owning teams on how their devex could be improved. You will not own the delivery platform. You will partner closely with our Software Delivery team so the paved road stays the paved road, and with our platform teams to ensure engineers are empowered to extend the platform to meet their needs. What You'll Do: Help teams outside Aura develop in Aura: Meet Neo4j Database (non-Aura) engineers where they are. Reduce the Aura-specific overhead of getting a change built, tested, and running in a dev environment. Improve the workflows, docs, and tooling that engineers need, — whether they are people who care about the database, a single service, or an integration, rather than the whole platform. Support incubation and onboarding: help teams become productive in Aura without Aura DevEx owning their product. Work with Software Delivery when the right fix is on the paved road, and take the work that is about who is developing and how they get started . Give feedback to the various platform teams to ensure that the underlying platform is intuitive, pleasant to use, and extensible. Contribute to the AI domain for Aura development Maintain and evolve skill files and agent instructions (AGENTS.md, Cursor/Claude skills, and similar) so AI coding agents can operate in Aura with the same constraints we expect of humans. Put evaluation and feedback around AI workflows — quality, cost, failure modes, and whether they actually save engineers time. Help Aura and non-Aura teams adopt AI in their development process without each team inventing its own stack. Treat DevEx as a product Work closely with internal engineers (Aura and non-Aura) to identify pain points. Make the experience as positive as possible for someone who does not already know Aura. Observe how people and agents use the skills, docs, and tools you ship, and iterate on that evidence. What you’ll need: Strong collaboration and communication skills. Golang experience Experience using Golang for multiple software projects ranging from scripting to larger microservice-type applications. Some knowledge around the Golang build and packaging system. Solid software engineering experience, including shipping tools other engineers use (CLIs, libraries, internal platforms, or developer-facing services). Enough Kubernetes and container literacy to help someone develop in Aura — Pods, Deployments, Docker images, and how software gets onto a cluster. Deep operator/control-plane work is not the job; being lost in Kubernetes is not viable either. Experience with modern CI/CD and Git-based workflows: taking a change from a branch to something running in an environment. Clear writing. A large part of this job is skills, docs, and instructions that both humans and models follow. An interest in other developers’ pain points, especially people who are new to a platform, and the ability to design solutions that address those pain points. What’s nice to you have: Experience with “platform as a product” or developer experience work: interviewing users, caring about onboarding, measuring adoption. Experience maintaining AI skill files, agent instructions, MCP servers, or similar structured context for coding agents. Experience with Kubernetes-related developer tooling (Make, Kustomize, Helm) and with simplifying local workflows. Experience integrating software with Google Cloud Platform, AWS, or Azure. Experience with observability: tracing, logging, and metrics — including for AI workflows. #LI-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: Remote UK At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. As a Merchant Risk Analyst, you will assess financial risk related to credit, fraud and identity associated with the merchants. You will also coordinate with cross-functional partners to assess non-financial risk – brand, reputational, legal and compliance risk. The ideal candidate will have knowledge or experience in e-commerce underwriting and/or commercial lending. They will also have a solid understanding of evaluating merchant financial risk based on 3rd party data, credit reports, and other merchant attributes. Prior work experience in payments, lending, banking or financial institutions is a plus! What you’ll do Assess brand, compliance, fraud and financial risk and determine credit exposure risk on new and existing merchants Use business credit reports, financial documents, investigative research tools, and financial market data to conduct risk assessment of Affirm’s merchants Investigate and use new sources of third party data to assess merchant financial risk Conduct ongoing monitoring of credit, fraud, and dispute/chargeback trends by merchants Business Improvement In Execution: Leverage your knowledge to provide guidance towards the automation/improvements of merchant risk evaluation What we look for 3+ years of experience in assessing merchant risk in a function such as Merchant/Seller Risk Management, Fraud, Collections, or Merchant Underwriting Experience working with cross functional partners across the organization, especially Sales and Business Development teams Experience reviewing financial documents, business credit reports and payment processor statements Ownership mentality: Demonstrate an appropriate sense of accountability, ownership, urgency and execution Compensation & Benefits Base Pay Grade - G Equity Grade - 3 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidised medical coverage, dental and vision for you and your dependents.) Base pay range per year: £66,000 - £76,000 Location: UK Remote #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.