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Location: San Francisco Bay Area, California; New York City Metropolitan Area Workplace: remote About the role: Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. We embed engineers and leaders inside client operations as Forward Deployed Engineers (FDE) and Forward Deployed Executives (FDX) — people who learn the work, ship the system, and own the outcome. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Bluprints. You will do the customer’s job before you automate it. Most AI engagements fail the same way: someone gathers requirements, someone writes a PRD, and a team ships a workflow nobody uses. We think the requirements-gathering step is the bug. So we remove it. A Forward Deployed AI Engineer at Provectus spends the first weeks of an engagement in the operator’s seat — as the underwriter, the analyst, the RCM specialist, the claims clinician, whoever actually does the work we’ve been asked to change. You do the job. You learn the constraints from the inside, the ones nobody writes down. Then you sit at a table with that operator and a Forward Deployed Executive and rebuild the function from first principles — and you are the one who builds it. Three things define how you work: Embedded, not engaged . You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Real tasks, not scope . You are not fenced into a siloed deliverable. You go where the operating problem is. Autonomous . Embedded is not staff-augmented. You own the method; nobody hands you a ticket. You won’t start from zero. Provectus builds industry blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. That loop is the difference between an outcome and an invoice. You’ll be measured on whether the Business Unit’s number moved — not on hours, not on scope delivered. This is a role for engineers who have led before — as a founder, a CTO, a staff engineer — and who want to stay in the code while owning the outcome. On most days you’ll be the most senior technical person in the room, and you’ll still be the one shipping. Requirements: 8+ years building software , a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. You will take the operator’s seat. You are genuinely willing to spend weeks doing someone else’s job — claims processing, underwriting, revenue-cycle work — before you write a line of code. Engineers who need to stay in the IDE should not apply. You learn domains fast. Demonstrated ability to become conversant in an unfamiliar business function quickly enough to argue with the people who do it for a living. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus): containers, Kubernetes/ECS, IaC, CI/CD, and the operational reality of a system someone else inherits. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Solid AI/ML foundations — you understand what the models do well enough to reason about failure modes, not just call the API. Strong hands-on prodcution experience with Claude Code/Cowork. Fluent English, written and spoken. Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution. Real depth in one of our blueprint industries: financial services, insurance, healthcare, asset management . Consulting, professional services, or other embedded customer-facing delivery. Data platform depth: data lakes, warehouses, streaming and real-time analytics, data mesh and data contracts, governance and data quality. MLOps and classical ML: PyTorch, SageMaker, MLflow. Fine-tuning, distillation, or inference/serving optimization. Graph databases (Neo4j, AWS Neptune). IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What you’ll do: Take the seat Do the operator’s job for two to four weeks at the start of an engagement. Learn the function from inside, not from a requirements doc. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow — in weeks, not quarters. Sit with the operator and the Forward Deployed Executive and redesign the function from first principles. Discovery, user research, and PRD-writing collapse into one team that re-imagines its own job. You are all three roles. Build Ship production GenAI systems into the customer’s environment — LLM applications, agentic workflows, retrieval and structured-extraction pipelines, and the services around them. Running software, not recommendations. Build the evaluation harness before you build the feature. When the engagement is bound to a business KPI, “it looked good in testing” is not an answer. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — backend services, data pipelines, and the AI layer. Python and TypeScript are our centre of gravity; we choose tools to fit the customer, not the résumé. Take systems to production on AWS (GCP/Azure where the customer requires it): containerized, observable, and maintainable after we leave. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Own the outcome Work in a pair with a Forward Deployed Executive who carries the Business Unit’s KPIs. Your work is measured against the same number. Drive adoption. A system the BU routes around has not shipped. Change management is part of the engineering job here, not a phase after it. Be credible with the customer’s engineers, their operators, and their executives — and be willing to disagree with all three. Shape what we commit to before we commit to it. You’ll have the standing to do it, because you’re the one who will build it. What We Offer: Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare The chance to shape how leading enterprises adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture High-impact role with direct visibility to leadership. Strong earning potential with performance-based bonuses. Opportunity to work with cutting-edge AI and cloud solutions. B2B contract model or full-time model. Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. OTE range: up to $250k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data. How we hire: Intro conversation — the role, your background, what you want to be doing. Two live engineering sessions. Real problems, your own editor. You may use an LLM assistant (ChatGPT, Claude) — how you work now includes these tools. Autocomplete/agentic coding tools are off for these sessions. The redesign session. We hand you an unfamiliar business function and the constraints of the person who performs it. You have to understand the job well enough to rebuild it — then say what you’d build and how you’d know it worked. No LLMs for this one. Team and practice conversation.

Location: New York, NY Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow. That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve. Flex is expanding to offer a consumer bill management platform: a hub where users manage both recurring and one-off bills, align payments with their cash flow, and build credit along the way. As we move from a pilot to broader GTM, we're looking for someone who can operate as both the builder of our data foundation and the analyst who turns that data into decisions. This role will work closely with both business leadership and the core data team to focus on modeling data, digging into consumer behavior, pricing and credit dynamics, and setting the standards the rest of the team builds on. What you'll do Build and maintain the core data models (dbt/Snowflake) that power reporting, experimentation, and ML/credit risk use cases Analyze consumer bill payment behavior timing, splitting, delinquency, credit-building outcomes to identify what's working in the pilot and what needs to change Partner closely with Product and Engineering to instrument new features (e.g. bill splitting, smart scheduling, credit-building) so we can measure adoption and impact from day one Design and analyze experiments that test pricing, credit terms, and product flows, establishing causal links between changes and outcomes Create dashboards and self-serve tools that let Product, Risk, and GTM teams track Control Center's pilot-to-scale metrics without needing to come back to Analytics for every question Champion data quality, consistent terminology, and documentation as data footprint grows from pilot to full launch Set technical direction for how Control Center's data models and pipelines scale as new billers, partners, and product surfaces come online; mentor other analysts/engineers and raise the technical bar across the team Key qualifications 7+ years of experience spanning analytics engineering and data science/analyst work Strong SQL and hands-on experience with dbt and Snowflake (or equivalent modern data stack) Experience with BI tools (Sigma, Tableau, Mode, Looker, etc.) and building dashboards that non-technical stakeholders use Track record designing and analyzing experiments (A/B tests or quasi-experimental methods) to drive product decisions Being confident partnering with technical and non technical stakeholders Strong ownership mindset Comfort with credit, risk, or fintech data, as well as curiosity about how consumers manage their finances, is a plus Compensation Flex takes a market-based approach to pay, ensuring compensation is commensurate with a candidate's experience and our internal leveling guidelines. For candidates located in our Tier 1 (NYC/Bay Area) markets, the base salary pay range for this role is below. Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the cities listed below, your starting pay will be adjusted to align with the market conditions of your specific geographic zone. Please speak with your recruiter for additional information regarding the specific range for your location. Tier 1 (NYC/Bay Area) $184,000 — $225,000 USD Life at Flex Building a successful company takes a diverse team of intelligent, curious, determined, empathetic, and self-aware people. Our headquarters is in New York City, with employees across the US, Australia, Canada, and South America. We’re growing quickly and deliberately, with a focus on building an inclusive culture. We value the perspectives our people bring and take pride in being an equal opportunity workplace. Offices Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program. Benefits View our benefits and more at getflex.com/careers .

Location: United Kingdom Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We're hiring a Growth PM to own data and growth experimentation across the full funnel, from landing page through to in-app and pricing. ElevenLabs drives significant paid and organic traffic across self-serve, developer, and enterprise funnels; your job is to turn more of it into subscriptions, pipeline, and revenue. You'll own the experimentation engine end to end: uncovering opportunities through funnel and product data, building and prioritizing the testing backlog, designing and evaluating experiments, and owning the tracking and reporting that turns results into decisions. Your scope runs deeper than conversion optimization: you'll drive experiments across onboarding, activation, and pricing, and align paid media, design, engineering, and product teams around one optimization roadmap. The ideal candidate is equal parts analyst, strategist, and operator: someone who finds revenue hiding in funnel and product data, ships a high-velocity testing program, and communicates results in terms of subscriptions and pipeline, not just conversion rates. REQUIREMENTS - A track record of running high-velocity experimentation programs end to end - hypothesis, prioritization, test design, and analysis - with measurable revenue impact - Experience running experiments beyond the marketing site: in-product (onboarding, activation) and pricing or monetization - Deep analytics fluency: comfortable living in product analytics tools (e.g., PostHog, Amplitude, GA4) to diagnose funnel drop-off, segment traffic, and attribute outcomes across multi-domain journeys - Strong statistical literacy: you know how to size tests, avoid false winners, and choose the right success metric (revenue and subscriptions over clicks) - A cross-functional operator who can align paid media, design, engineering, and product teams around a shared optimization roadmap Bonus - Working front-end web development skills (HTML, CSS, JavaScript, React) to build test variants without waiting on engineering - Experience optimizing PLG/self-serve funnels alongside sales-assisted (demo/contact-sales) funnels LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw. #Li-remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Limassol, Cyprus; Tbilisi, Georgia Workplace: hybrid TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience. About the team We develop and implement machine learning and AI solutions across a range of products: AI assistants, customer support chatbots, intelligent data processing, generative AI features, recommender systems, spam detection, search and other ML-powered modules. Our goal is to build reliable ML and AI systems that solve real product problems — from experimentation and prototyping to production integration and continuous improvement. Responsibilities Designing and implementing ML and AI modules for various products, from experimentation and prototyping to production integration Building solutions based on LLMs and other ML/NLP approaches for data processing, generation, search, assistants, bots, agents and automation Choosing and evaluating appropriate approaches — including external AI providers, open-source or self-hosted models, as well as traditional ML/NLP methods Contributing to the architecture of ML solutions, shaping technical approaches and engineering standards Preparing and processing data, training models, running A/B tests, and analyzing results Monitoring and improving model performance, interpreting model behavior and key metrics Evaluating AI-system quality, analyzing failure cases and improving models, prompts, data and system architecture Collaborating with product managers, engineers, and analysts to clarify requirements, integrate solutions, and evaluate their impact Working with MLOps infrastructure: CI/CD, monitoring, logging, containerization What makes you the perfect fit 3+ years of experience in ML engineering and building production-ready ML systems Strong practical expertise in NLP, LLMs, AI assistants and related AI/ML areas Experience with both modern LLM-based systems and traditional ML/NLP approaches such as classification, ranking, retrieval, semantic similarity and information extraction Strong track record of delivering end-to-end ML solutions — from idea and data to production and support Proficient Python skills and experience with production-grade development Experience evaluating ML/AI solutions and understanding their quality, reliability, latency and cost trade-offs Solid knowledge of A/B testing and result interpretation Experience in architectural decision-making and a drive to improve engineering practices Familiarity with tools like Docker, Kubernetes, CI/CD systems, monitoring (e.g. Prometheus, Grafana), and logging Will be a plus Product-oriented mindset and understanding of business metrics Experience building real-time and high-load ML systems Experience with open-source or self-hosted models Familiarity with modern MLOps tools (e.g. MLflow, Airflow, Kubeflow) Experience evaluating the UX of AI-driven interactions What we offer you Flexible working hours and a hybrid work format Well-equipped offices for focused and collaborative work A global, distributed team of 500+ professionals Learning, mentorship, and long-term career growth Relocation support and private health insurance Performance-based bonuses TradingView Premium access Regular team events and company-wide meetups Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you! TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.

Location: Nairobi Workplace: Hybrid ABOUT THE COMPANY Nuru Solutions is a B2B agricultural data intelligence platform operating across Kenya, Malawi, Nigeria, and Somalia. We combine satellite imagery, weather data, ground truth, and machine learning to deliver farm-level intelligence to insurers, lenders, and agribusinesses serving smallholder farmers.   Our platform powers six core analytical pillars: crop health monitoring, yield prediction, risk profiling, farm boundary detection, credit risk, and market price forecasting. We achieve 80–98% accuracy through a hybrid approach that fuses multi-source satellite data, ML models, and validated ground-truth data, a combination that outperforms single-source competitors. ABOUT THE ROLE Nuru is at an inflection point. We have validated product-market fit with, have a growing institutional pipeline, and proven model accuracy across multiple countries. As we scale from pilot delivery to commercial-grade operations, we need a senior ML leader who will own the integrity, reproducibility, and continuous improvement of every model we ship.   This person will be responsible for transforming Nuru’s ML function from a talented-but-informal operation into a rigorous, scalable, and auditable system that institutional clients can rely on. WHAT YOU WILL DO 1. Model Ownership & Lifecycle - Own the complete ML lifecycle - Lead model development, training, validation, deployment, and ongoing performance monitoring for all production models. - Architect and maintain reproducible ML pipelines on AWS, ensuring all models are version-controlled, documented, and independently reproducible. - Drive multi-crop expansion (from maize to beans, sorghum, potatoes, and horticultural crops) and cross-country model generalisation across diverse agroecological zones and cropping calendars. 2. Governance, Validation & Quality - Own and enforce Nuru’s Model Validation Protocol, including the Test 1 / Test 2 distinction: internal holdout results (Test 1) are for internal use only; independent field validation (Test 2) is the sole metric approved for external reporting. - Execute and maintain Model Validation & Sign-Off Reports for all production models (19 models currently require individual sign-off). - Lead Quarterly Model Governance Reviews, documenting model health, drift, and accuracy trends. - Enforce the model change protocol: no model modification ships without documented justification, before/after accuracy comparisons, and sign-off. - Establish pre-delivery quality assurance for all client-facing datasets and analytics, including automated checks for data integrity issues (e.g., impossible values, distribution anomalies). 3. Ground-Truth & Data Strategy - Design and oversee ground-truth data collection strategies, integrating field surveys (KoboToolbox), drone imagery, crop-cut samples, and in-person validation. - Work with sparse, noisy, and incomplete ground-truth data typical of smallholder agriculture contexts, developing robust approaches to training and validation under data scarcity. - Collaborate with operations teams across Kenya, Malawi, Nigeria, and Somalia to ensure field data quality and timeliness. 4. Team Leadership & Stakeholder Communication - Mentor and develop junior data science team members, establishing standards for code quality, documentation, and peer review. - Collaborate with product, engineering, and client-facing teams to translate model capabilities into actionable intelligence delivered via dashboards, APIs, SMS/WhatsApp, and client reports. - Defend model methodology and accuracy claims to institutional partners, including actuaries, risk analysts, and underwriters at organisations like Swiss Re and FSD Africa. - Present technical findings clearly to non-technical stakeholders, including investors, board members, and partner executives. WHAT YOU HAVE Must-Haves (Required) - 7+ years of professional experience in machine learning, with demonstrated expertise in geospatial ML, remote sensing, or agricultural applications. - Hands-on experience with satellite imagery analysis (Sentinel, Planet Labs, or similar), vegetation indices, and time-series modelling for crop or environmental applications. - Proven track record building ML governance and quality systems — ideally in environments where formal processes did not previously exist. - Strong MLOps foundation: version control (Git), model registry, experiment tracking, reproducible training pipelines, and deployment automation. - Experience managing or mentoring small technical teams (2–5 people) in fast-moving, resource-constrained environments. - Comfort working with sparse, noisy, or incomplete datasets and designing robust validation approaches under data scarcity. - Ability to communicate technical complexity clearly and credibly to institutional clients, investors, and non-technical leadership. - Self-directed problem-solver who thrives in early-stage environments where you build the systems, not just use them. Strongly Preferred - Understanding of agricultural systems and smallholder farming contexts in East or Southern Africa. - Experience with AWS cloud infrastructure (S3, EC2/ECS, IAM) for ML workloads. - Familiarity with insurance, credit risk, or financial product design in agricultural or development contexts. - Experience with ensemble methods (Prophet, LSTM, XGBoost), CNNs, and foundation models (SAM or similar) in production settings. - Prior work with ground-truth data collection programmes (crop cuts, field surveys, drone validation). WHAT WE OFFER - A company recognised as one of the 30 most promising African startups - A validated impact: 25,000 farmers served - Direct collaboration with the CEO and a lean, mission-driven team across four countries. - The opportunity to build the ML governance and infrastructure layer for a platform that is becoming critical data infrastructure for African agrifinance.

Location: Tokyo Workplace: Remote Global Services is the centre of expertise at Chainalysis — the team that translates our platform, data, and investigative capabilities into real-world impact for customers across law enforcement, national security, financial institutions, and the broader crypto ecosystem. Chainalysis is seeking a Deployment Strategist to join Global Services as a core technical practitioner. This is not a traditional services or solutions engineering role. Deployment Strategists are embedded technical experts who own the full lifecycle of customer value — from problem discovery and investigation through solution design, deployment, and customer enablement. The role sits at the intersection of blockchain investigation, data analytics, domain expertise, and customer partnership. You will work directly with customers to understand their mission, conduct investigations, build tailored solutions, and enable customer teams to operationalise Chainalysis independently. Success requires deep investigative capability, genuine domain expertise, technical skill, and the ability to build trusted relationships through credibility — not just communication. This is the role that makes Chainalysis essential to how our customers operate. In this role, you’ll: - Own end-to-end customer engagements — from discovery through investigation, solution design, deployment, enablement, and ongoing value delivery - Conduct blockchain investigations across the Chainalysis platform, applying tracing, OSINT, and analytical techniques to real customer problems - Partner directly with customers to understand investigative, intelligence, compliance, or operational objectives and translate them into actionable outcomes - Design, build, and maintain custom workflows, notebooks, dashboards, queries, and data models using Chainalysis data and products - Enable customers to operate solutions independently — building their capability so that Chainalysis becomes embedded in their operational infrastructure - Act as the primary technical and domain advisor for your customers, building trusted relationships through hands-on expertise and credibility - Deliver live training, demos, investigative walkthroughs, and technical briefings to both technical and non-technical audiences - Support pre-sales technical engagement for complex and strategic deals — helping customers understand what's possible and how to get there - Collaborate closely with Product, Engineering, Global Intel, and Sales to influence roadmap and improve offerings based on field intelligence - Develop and share domain expertise, investigative techniques, and best practices that raise the capability of the wider GS team We’re looking for candidates who have: - Conducted or directly supported cryptocurrency investigations, blockchain intelligence work, or financial crime analysis in an operational environment - Deep familiarity with blockchain ecosystems (BTC, ETH, stablecoins, DeFi) and how on-chain data is used in investigations, compliance, or intelligence workflows - Delivered customer-facing technical solutions — whether investigative outputs, data products, or analytical workflows — in complex, real-world environments - Worked directly with customers in law enforcement, national security, intelligence, compliance, financial crime, or security-focused domains - Built insights from large or complex datasets and communicated findings to varied audiences — from analysts to executives - Operated successfully in fast-paced, ambiguous environments requiring ownership, adaptability, and sound judgment Required Skills: Technical Skills - Proficiency in Python and SQL for data analysis, transformation, and solution development - Experience building notebooks, dashboards, and analytical workflows - Solid understanding of data modelling, querying, and working with large datasets - Ability to quickly develop deep expertise in Chainalysis data structures, schemas, and products Domain Expertise - Substantive knowledge of at least one domain: financial and cyber crime investigations, sanctions and compliance, fraud, national security, DeFi/protocol security, tax, or private sector risk - Understanding of how customers in your domain operate — their workflows, regulatory environment, and what success looks like for them - Ability to apply domain knowledge to shape investigation approach, solution design, and customer advisory Customer & Communication Skills - Proven ability to build trusted, long-term customer relationships through technical and domain credibility - Excellent communication skills — can explain complex investigative and data concepts to non-technical stakeholders - Comfortable leading customer sessions, workshops, training, and technical working groups - Experience enabling and upskilling customer teams — not just delivering outputs, but building customer capability Day-to-Day Activities - Conduct investigations and analytical work using Chainalysis tools (Reactor, KYT, Data Solutions) in response to customer needs - Develop and maintain technical artifacts — Python notebooks, SQL queries, dashboards, investigative reports — tailored to customer use cases - Work side-by-side with customers to design workflows that operationalise Chainalysis data in their environment - Enable customer teams through hands-on training, walkthroughs, and knowledge transfer — so they can operate independently - Deliver live demos, investigative briefings, and solution presentations - Support pre-sales activity — technical discovery, proof-of-value sessions, and solution scoping for prospective customers - Gather feedback from customers and translate it into actionable recommendations for Product, Engineering, and Global Intel - Contribute to live training delivery in your domain of expertise - Support multiple customers concurrently while maintaining quality and responsiveness - Develop your domain specialism through continuous learning, case work, and engagement with the broader investigations and intelligence community Personal Attributes - Highly curious and continuously learning about blockchain technology, investigations, and emerging threats. - Strong customer focus with a genuine desire to help customers succeed in their mission. - Self-starter who thrives in ambiguous environments and takes ownership of outcomes. - Collaborative, adaptable, and comfortable operating across teams and functions. - Deeply curious about blockchain technology, crypto crime, investigations, and the evolving threat landscape - Strong customer focus with a genuine desire to help customers succeed in their mission — whether that's making an arrest, filing a SAR, or building a compliance programme - Credibility-driven — earns trust through expertise and delivery, not just presentation - Self-starter who thrives in ambiguous environments and takes ownership of outcomes - Collaborative, adaptable, and comfortable operating across teams and functions - Committed to developing deep domain expertise — not satisfied with surface-level knowledge Nice to have experience: - Direct experience with Chainalysis products - Background in law enforcement, intelligence, or military investigations - Experience providing expert evidence or supporting legal proceedings - Familiarity with compliance frameworks (BSA/AML, sanctions screening, MiCA, Travel Rule) - Experience with data engineering tools and platforms (e.g., Databricks, Snowflake, cloud-based analytics) - Published research, intelligence products, or thought leadership in blockchain analytics or financial crime AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: Remote - Global Workplace: Remote About the company Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place. ABOUT THE ROLE As a Senior Data Engineer, you will play a key role in building and scaling the data platform that powers analytics across Trust Wallet. You'll be responsible for designing, developing and maintaining data pipelines and data models, ensuring a seamless, scalable and reliable flow of data from source systems through to the decisions it supports. Leveraging your experience with Databricks and Spark across both streaming and batch workloads, dbt or a similar transformation framework, cloud infrastructure, and custom solutions in Python, you'll work closely with our data analysts and engineering teams to turn data into a strategic asset for our company. KEY RESPONSIBILITIES - Data Platform Engineering: Architect and maintain robust, scalable and secure data infrastructure on Databricks, covering both streaming and batch workloads. - Data Pipeline Development: Design, develop and maintain data pipelines, primarily in Python and Spark, to automate ingestion and transformation across internal systems, external providers and on-chain sources. - Data Modelling: Design and maintain dimensional data models and transformation layers in dbt, with tests and documented contracts, so metrics are consistent and reusable across the company. - Data Lake Management: Oversee the data lake and lakehouse layers, ensuring efficient storage, effective partitioning, high data quality, and monitoring and alerting that surfaces issues early. - Integration and Customisation: Integrate Databricks with a wide range of data sources, including change data capture from operational databases, third-party APIs and blockchain data, and adapt data flows to specific business needs. - Performance, Scalability and Cost: Optimise pipelines and storage for performance, reliability and cost efficiency at scale. - Data Governance and Security: Apply best practices for governance, security and compliance in cloud and Databricks environments, including access control, encryption and monitoring. - Collaboration and Documentation: Work closely with platform engineers, data analysts and other stakeholders to understand data requirements, and document infrastructure, models and best practices. REQUIRED QUALIFICATIONS - Experience in Data Engineering: 3+ years as a Data Engineer, with hands-on ownership of production pipelines and lakehouse or data warehouse architecture. - Databricks and Spark: Strong practical experience with Databricks, Delta Lake and Spark, including both streaming and batch processing, and the judgement to choose between them. - Data Modelling: Solid understanding of dimensional modelling, slowly changing dimensions and data warehouse design, with the ability to define and defend the grain of the models you build. - Transformation Frameworks: Experience with dbt or an equivalent framework for managing transformations, testing and lineage. - Cloud Proficiency: Strong cloud fundamentals, including identity and access management, object storage, networking and infrastructure as code. We run on AWS; deep experience with Azure or GCP transfers well. - Proficiency in Python and SQL: Comfortable writing production transformations as well as services and connectors. - Data Quality and Governance: Experience implementing testing, monitoring and governance practices in cloud data environments. PREFERRED SKILLS - Experience with change data capture and replication from operational databases - Familiarity with blockchain or on-chain data - Infrastructure as code, ideally Terraform, and CI/CD for data workloads - Experience with BI and semantic layers such as Holistics, Looker or similar - Containerisation and orchestration (Docker, Kubernetes) ADDITIONAL INFORMATION This is a global and fully remote role. You must have the right to work for the country you are based. WHY WORK AT TRUST WALLET? - Be a part of the world’s leading blockchain ecosystem that continues to grow. - Excellent learning and career development opportunities. - Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless. - Tackle fast-paced, challenging and unique projects. - Work in a truly global organization, with international teams and a flat organizational structure. - Work fully remotely with flexible working hours. - Enjoy competitive salary and benefits. Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone. Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. *Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.

Location: Hong Kong, Hong Kong SAR OKX will be prioritising applicants who have a current right to work in Hong Kong, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity The Core Trading Risk Product team builds the core trading infrastructure and platform-level risk capabilities that support OKX’s spot and derivatives businesses across multiple account and margin modes. We are looking for a Senior Product Manager to lead the delivery of trading risk workflow automation, agentic parameter governance, agent-driven execution, and foundational price-protection capabilities. Your scope will also include margin-tier rules, collateral haircuts, price limits, index price, and mark price across spot, derivatives, and Perp DEX scenarios. You will work closely with Risk Management, Quantitative Research, Engineering, Data, Trading Operations, Legal, Compliance, and regional market teams to translate risk-control methodologies into configurable, verifiable, and observable platform capabilities. Success in this role means continuously improving liquidity, users’ capital efficiency, and the trading experience while safeguarding platform resilience and market integrity. What You’ll Be Doing Drive product planning and roadmap execution. Own product discovery and delivery across risk parameter governance, AI-agent workflow automation, controlled execution, and price protection. Translate risk-control needs and operating SOPs into product requirements, priorities, 3-12-month delivery plans, and success metrics; partner with engineering, risk, quant, data, and operations teams to launch, measure adoption, and iterate. R esearch and iterate on risk-control methodologies. Research, formulate, and continuously improve risk-control methodologies, including pricing logic, risk-scoring models, and approaches for handling market volatility. B uild platform-level risk controls. Build and optimize platform-level risk-control mechanisms to ensure stability under extreme market conditions. D rive effective implementation of risk systems. Collaborate with engineers, quants, data analysts, and other stakeholders to ensure risk systems are effectively implemented and continuously monitored. Drive continuous improvement. Continuously improve the product through feedback loops and retrospective analysis of past market incidents or system performance. Stay close to markets and users. Maintain regular communication with traders, institutional clients, and market-making teams. Continuously study crypto and traditional financial market structures, competitor mechanisms, and regulatory changes; determine when to lead and when to fast-follow; and adjust product priorities accordingly. Strengthen team methodologies and AI leverage. Codify risk product methodologies, decision records, parameter dictionaries, and incident case libraries, and mentor other product managers. Design automation and AI-native workflows to improve efficiency in analysis, configuration review, monitoring and troubleshooting, documentation, and product operations.. What We Look For In You Five or more years of product management experience in trading-related domains. Be familiar with trading system principles, understanding users' trading, and be able to identify risky scenarios. An AI-native approach to work, with the ability to design multi-step automation or agentic workflows incorporating tool use, retrieval, evaluation, and human-review checkpoints, together with an understanding of the access-control and audit boundaries required in risk-control contexts. Strong systems thinking and technical judgment, with the ability to work closely with engineering and quantitative teams on real-time, highly available, data-intensive systems and the related configuration, monitoring, resilience, and audit requirements. Experience in data-driven product decision-making and risk change management, with the ability to define effective metrics and drive continuous improvement through simulation, backtesting, stress testing, production monitoring, and incident reviews. Mature cross-functional leadership and project execution capabilities. Rigorous logical thinking, clear written and verbal communication, and fluency in both Chinese and English, with the ability to collaborate effectively with clients and cross-functional teams across global and Chinese-language working environments. A bachelor’s degree or higher, preferably in a quantitative or technical field such as Computer Science, Finance, Engineering, or Mathematics. Nice-To-Haves A deep understanding of the trading and risk mechanisms for spot, margin, perpetuals, expiry futures, or options, with familiarity with core concepts including the order lifecycle, margin, leverage, liquidation, position tiers, index price, mark price, and price limits. Experience working at a digital asset exchange, securities or futures exchange, brokerage, clearing platform, market-making firm, quantitative trading firm, or another high-throughput trading environment. Experience scaling automation, AI agents, or human-in-the-loop workflows in safety-critical environments. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity The Core Trading Risk Product team builds the core trading infrastructure and platform-level risk capabilities that support OKX’s spot and derivatives businesses across multiple account and margin modes. We are looking for a Senior Product Manager to lead the delivery of trading risk workflow automation, agentic parameter governance, agent-driven execution, and foundational price-protection capabilities. Your scope will also include margin-tier rules, collateral haircuts, price limits, index price, and mark price across spot, derivatives, and Perp DEX scenarios. You will work closely with Risk Management, Quantitative Research, Engineering, Data, Trading Operations, Legal, Compliance, and regional market teams to translate risk-control methodologies into configurable, verifiable, and observable platform capabilities. Success in this role means continuously improving liquidity, users’ capital efficiency, and the trading experience while safeguarding platform resilience and market integrity. What You’ll Be Doing Drive product planning and roadmap execution. Own product discovery and delivery across risk parameter governance, AI-agent workflow automation, controlled execution, and price protection. Translate risk-control needs and operating SOPs into product requirements, priorities, 3-12-month delivery plans, and success metrics; partner with engineering, risk, quant, data, and operations teams to launch, measure adoption, and iterate. R esearch and iterate on risk-control methodologies. Research, formulate, and continuously improve risk-control methodologies, including pricing logic, risk-scoring models, and approaches for handling market volatility. B uild platform-level risk controls. Build and optimize platform-level risk-control mechanisms to ensure stability under extreme market conditions. D rive effective implementation of risk systems. Collaborate with engineers, quants, data analysts, and other stakeholders to ensure risk systems are effectively implemented and continuously monitored. Drive continuous improvement. Continuously improve the product through feedback loops and retrospective analysis of past market incidents or system performance. Stay close to markets and users. Maintain regular communication with traders, institutional clients, and market-making teams. Continuously study crypto and traditional financial market structures, competitor mechanisms, and regulatory changes; determine when to lead and when to fast-follow; and adjust product priorities accordingly. Strengthen team methodologies and AI leverage. Codify risk product methodologies, decision records, parameter dictionaries, and incident case libraries, and mentor other product managers. Design automation and AI-native workflows to improve efficiency in analysis, configuration review, monitoring and troubleshooting, documentation, and product operations.. What We Look For In You Five or more years of product management experience in trading-related domains. Be familiar with trading system principles, understanding users' trading, and be able to identify risky scenarios. An AI-native approach to work, with the ability to design multi-step automation or agentic workflows incorporating tool use, retrieval, evaluation, and human-review checkpoints, together with an understanding of the access-control and audit boundaries required in risk-control contexts. Strong systems thinking and technical judgment, with the ability to work closely with engineering and quantitative teams on real-time, highly available, data-intensive systems and the related configuration, monitoring, resilience, and audit requirements. Experience in data-driven product decision-making and risk change management, with the ability to define effective metrics and drive continuous improvement through simulation, backtesting, stress testing, production monitoring, and incident reviews. Mature cross-functional leadership and project execution capabilities. Rigorous logical thinking, clear written and verbal communication, and fluency in both Chinese and English, with the ability to collaborate effectively with clients and cross-functional teams across global and Chinese-language working environments. A bachelor’s degree or higher, preferably in a quantitative or technical field such as Computer Science, Finance, Engineering, or Mathematics. Nice-To-Haves A deep understanding of the trading and risk mechanisms for spot, margin, perpetuals, expiry futures, or options, with familiarity with core concepts including the order lifecycle, margin, leverage, liquidation, position tiers, index price, mark price, and price limits. Experience working at a digital asset exchange, securities or futures exchange, brokerage, clearing platform, market-making firm, quantitative trading firm, or another high-throughput trading environment. Experience scaling automation, AI agents, or human-in-the-loop workflows in safety-critical environments. Perks & Benefits Competitive total compensation package L&D programs and education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote: EMEA 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 Role: We are aiming to hire someone in the the UK, Czechia or Italy. Product Engineering at GraphAware offers a unique opportunity to build real-world intelligence systems that matter. Build with purpose: Your code will help law enforcement and analysts save lives and protect communities through better data insight. Innovative tech: Work with knowledge graphs, workflow engines, LLMs, and graph-native UIs pushing the boundaries of data analytics. Shape the future: Contribute to product direction and technical vision alongside a senior engineering team. True autonomy: Own your work, from ideation to deployment.Global mindset: Collaborate with a world-class team of engineers, data scientists, and product thinkers across Europe and beyond. Growth without bureaucracy: Develop your skills in a non-micromanaged, excellence-driven environment. What you will be doing As Tech Lead, you will own core parts of the platform layer of GraphAware Hume, our graph-powered analytics platform — the foundations that cut across every development group and that every feature team builds on. You'll be sought out across the organisation for technical guidance on graph architecture, and expected to anticipate issues at the product level before they surface. Neo4j sits at the heart of the product, we need someone who goes beyond using it well, and actively tracks new features, tests them against real workloads, and identifies where they can move the product forward. Working hands-on with Neo4j at the heart of the product, you will drive the architecture that lets us model, query, and scale the knowledge graphs our users depend on. Your responsibilities will include: Driving platform architecture, setting technical direction for the transversal foundations that feature teams across Hume build on, and shaping cross-cutting design decisions with the wider engineering group Owning our Neo4j strategy : actively tracking and hands-on testing of new releases and ecosystem tooling (GDS, APOC, etc.) to assess breaking changes, propose new product opportunities, and plan deliberate, scalable migrations. Optimizing Cypher queries and graph access patterns for latency, throughput, and scale Mentoring engineers and raising the team's technical bar (especially in Neo4j), without formal management authority Partner closely with Product Managers: to translate long-term product goals into scalable technical roadmaps Designing secure, scalable access control systems for mission-critical environments Building APIs for intuitive user interaction with complex data Orchestrating workflows to automate graph analytics, inference, and real-time insights What you must know already and be excited to grow further Deep, hands-on Neo4j expertise, including advanced Cypher query performance optimization, profiling, and deep familiarity with the broader Neo4j ecosystem (e.g., GDS, APOC, drivers). Modelled real domains as property graphs and can reason about nodes, relationships, labels, and properties as a first-class design activity (relational modelling with e.g. PostgreSQL is a plus) Track record of leading architecture and  technical direction for a team or product area, not just contributing to decisions made by others Proven ability to drive consensus: across engineering teams for large-scale architectural changes. Proven experience in backend systems (8+ years) with exposure to large-scale, complex applications and cross-functional teams Fluency in Java (or a strong JVM background you can bring to a Java codebase) , with a deep understanding of modern software engineering principles, including: Clean Architecture, Domain-Driven Design (DDD), and Test-Driven Development (TDD) Advanced debugging and profiling techniques, Writing composable, maintainable, and testable code Spring or similar frameworks with emphasis on building secure, modular, and scalable APIs Working knowledge of modern CI/CD pipelines, containerization (Docker), and automated deployment workflows Strong security mindset , with practical knowledge of secure software design and common vulnerabilities (e.g., OWASP) Comfortable with remote team collaboration , i.e. tools and practices for asynchronous communication Bonus points for familiarity with: Knowledge graphs and GraphRAG: building knowledge graphs and grounding LLMs with graph-based retrieval (e.g. neo4j-graphrag, LangChain, LlamaIndex) Graph algorithms and analytics: (pathfinding, centrality, community detection) via Neo4j GDS, plus event-driven architectures, Kafka, or distributed systems Evolving large graph data models: over time: schema refactoring, migrations, and versioning as the domain grows Cloud-native development: observability, and performance tuning Italy only: The gross annual salary (RAL) range for this role when based in Italy is €60.000-€75.000. Salary is set individually for each candidate, based on objective, gender-neutral criteria such as experience, skills and scope of responsibility. Contract under the collective bargaining agreement (CCNL Metalmeccanici Industria). This information applies to Italy only. For other countries, please speak with the recruiter. 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: JP - Tokyo, Japan Scopely Explore is seeking a highly motivated AI Data Specialist/ Engineer to join our Tokyo Studio, supporting Monster Hunter Now and Pikmin Bloom . This role will sit at the intersection of data engineering, AI tooling, marketing, live game operations, and product strategy. Scopely Explore’s Tokyo Studio builds games that inspire people to explore the real world together. Monster Hunter Now brings players outside to hunt, craft, and grow stronger together, while Pikmin Bloom helps people find joy in everyday walking and real-world memories. As an AI Data Engineer, you will build the trusted data pipelines, AI-native tools, and automation systems that help our teams operate these games with more speed, rigor, and creativity. Responsibilities Partner cross-functionally with stakeholders across Product, LiveOps, Marketing, User Acquisition (UA), CRM, and Game Operations (including product managers, marketers, analysts, data scientists, engineers, and studio leadership) to identify and prioritize high-impact data and automation opportunities and translate ambiguous business needs into reliable AI-native technical systems. Build and operate scalable data models, pipelines, semantic layers, and self-service data products using BigQuery, dbt, Looker, Airflow, and related cloud technologies. Develop production-quality AI-enabled workflows using technologies such as LLMs, agents, retrieval-augmented generation (RAG) knowledge systems, evaluation frameworks, and human-in-the-loop review patterns to help teams investigate performance, detect anomalies, prepare decision briefs, and plan and evaluate campaigns. Partner with Marketing to improve and automate workflows for audience segmentation, campaign performance, UA governance and execution, reactivation, event planning, and post-launch analysis. Safeguard data quality and metric consistency across game, marketing, and executive reporting while promoting responsible AI use through appropriate evaluation, oversight, and human review. Create reusable internal tools, patterns, and documentation that make AI accessible to non-technical teams while preserving trust, reviewability, and clear source-of-truth data. Contribute hands-on to Tokyo Studio’s broader AI operating model and help teams adopt effective AI-enabled workflows. Use AI-assisted engineering tools responsibly by validating generated code and analysis through rigorous review, automated testing, and established quality gates (including linting, type checking, and CI) before production. Qualifications 5+ years of experience in data engineering, analytics engineering, machine learning engineering, or a closely related role. Deep expertise designing, building, deploying, and operating production data platforms across cloud data warehousing (e.g., BigQuery or Snowflake), data transformation and modeling (e.g., dbt), business intelligence and semantic layers (e.g., Looker), and workflow orchestration (e.g., Airflow), with demonstrated ownership of reliability, observability, data quality, performance, cost efficiency, and production troubleshooting. Exceptional SQL skills and strong data-modeling fundamentals, including dimensional modeling, metric design, semantic layers, and scalable analytical data products, along with strong ability to write clean, maintainable production code for pipelines, automation, integrations, and AI-enabled workflows. Hands-on experience building AI solutions for real business workflows, including LLM applications, AI agents, Model Context Protocol (MCP) or similar tool-integration layers, retrieval-augmented generation (RAG), prompt and tool orchestration, and model evaluation. Strong judgment and hands-on experience establishing data-quality controls, consistent metric definitions, and responsible AI practices across data and AI-enabled systems (including reliability, privacy, access control, explainability, evaluation, and human review) and validating AI-generated code and analysis through code review and automated testing. Experience building tools for and working directly with Product, LiveOps, Marketing, User Acquisition (UA), CRM, or Game Operations teams, with the ability to identify and prioritize high-impact opportunities and translate ambiguous business and operational needs into durable technical systems that teams can trust and reuse. Experience building reusable internal data and AI tools and driving adoption among technical and non-technical users through documentation, training, and hands-on enablement, while contributing to AI operating models through shared standards, governance, ownership, and review practices across functions and regions. Excellent business-level verbal and written communication in both English and Japanese. Ability to work from Scopely Explore’s Tokyo office three days per week. Plus If... You enjoy helping teams become more capable by building practical systems that combine better tools, trusted data, and thoughtful automation to support faster, better-informed decisions. You are passionate about games and player behavior, have experience with free-to-play mobile, live-service, or location-based products, and are familiar with real-world or social mobile games such as Monster Hunter Now, Pikmin Bloom, or Pokémon GO. You have experience modernizing prototype or locally operated data workflows into reliable, scalable, cloud-managed production systems. About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Argentina Brainlabs is the independent, founder-led agency building the future of media. We have over 1000 Brainlabbers based across the global, all united through the 12 principles laid out in our Culture Code. We're full-service, with people and AI agents working side by side, all aligned to one thing: maximizing our clients' revenue through a genuinely scientific approach to media. If you want to help play your part in achieving this for the world's biggest brands in an environment that will support and challenge you in equal measure, this is where you do it. So you're interested in joining Brainlabs as a Digital Measurement Consultant? Let's see what it looks like! What You'll Do: Design and maintain Solution Design References (SDRs), data layer recommendations, and technical specification documents that serve as the source of truth for tracking implementations across web and app properties. Implement and validate analytics tags and marketing pixels using Google Tag Manager, covering both client-side and server-side setups, with strong QA discipline at every stage. Write JavaScript, ES6, and jQuery functions to capture required data from web pages, and troubleshoot discrepancies between what the implementation says and what GA4 reports show. Manage and mentor a small team of analysts and implementation engineers, reviewing their work, unblocking technical problems, and helping them grow their skills in both implementation and analysis. Partner with clients and internal stakeholders to gather analytics requirements, translate them into scoped technical projects, and produce Point of Views (POVs) on measurement trends or platform changes as needed. Stay current on privacy-driven shifts in measurement, including consent mode, server-side tagging, and cookieless tracking, and bring practical responses to those changes into the team's standard approach. Who You Are: What We Really Want: Someone who still enjoys the implementation craft but is ready to be responsible for more than their own output. You can write a data layer spec, spot a broken tag, and explain what the data means to a non-technical stakeholder, all in the same week. You've managed a small team or mentored others and you're ready to do it more formally. What Particular Set of Skills Would Suit This Role: Exposure to additional TMS platforms such as Tealium or Adobe Launch , as is experience with CDPs like Tealium AudienceStream or BlueConic. Deep working knowledge of GA4, including event modeling, custom dimensions, exploration reports, and the differences from Universal Analytics. Solid JavaScript, ES6, and jQuery skills sufficient to write and debug tag implementations without leaning on front-end developers. Experience with server-side tagging via GTM Server and working knowledge of consent management platforms (CMPs). Familiarity with mobile app analytics implementation using Firebase or AppsFlyer. A track record of producing clean technical documentation, including SDRs and tag collection guides, that others can actually work from. Some experience managing or mentoring others, formally or informally. How You Succeed: You're succeeding when the tracking is solid, the documentation is trusted, and the analysis is changing how people make decisions. Your team ships clean implementations, QA is thorough before anything goes live, and stakeholders come to you first when something looks wrong in the data or a new measurement requirement lands on the table. Some benefits for you: ✨ This is a full time job ( en relación de dependencia ). Hybrid salary scheme (50% paid in USD). 20 working days vacation plus all Argentina public holidays. Private healthcare (OSDE 360). Adaptive/hybrid working, with 3 days in our amazing Palermo Office (right opposite the Hippodrome!) Free breakfast and lunch in the office. Quarterly training sessions on wider business skills (pitching, strategy, client servicing) Mobility programmes - work from another country for up to 30 days! #LI-MB1 What happens next? We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you. A note on our offices: We pride ourselves in being a company with an office-centric culture and, for the majority of roles we expect people to be in commuting distance of the office and come in for around 3 days per week. Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know! For details regarding our data processing activities, please refer to our Candidate Privacy Notice Protect Yourself from Job Scams: We've been made aware of fraudulent job offers circulating in Brainlabs' name. Your safety is our priority, so please stay vigilant. Brainlabs will never ask you to transfer money, pay for a job opportunity, or request sensitive information such as Social Security numbers, banking details, or passwords via email, WhatsApp, or unsecured channels. Our official hiring communications only come from verified email domains (@brainlabsdigital.com, @brainlabs.ai, @exverus.com, @jacknimble.com.au, @sparro.com.au) and trusted platforms including Greenhouse, Upwork, Yuno Juno, and Remote. If you receive a suspicious message claiming to be from Brainlabs, do not engage. Instead, forward it immediately to security@brainlabsdigital.com . We're committed to protecting our community and ensuring a safe candidate experience. Thank you for your vigilance.

Location: Ukraine; Azerbaijan About the Role OneDome is a UK-based property technology company on a mission to make buying, selling and financing a home simpler and faster. Our platform connects homebuyers, estate agents, conveyancers and mortgage brokers into a single digital journey, and it is scaling quickly. We hold a great deal of data on how customers move through buying, financing and conveyancing, and very little of it can currently be queried in one place. This is our first dedicated data engineering role. You will own our data warehouse and the pipelines that feed it, decide what the data platform looks like, and become the person the business relies on for answers. What You'll Do Develop and maintain our AWS-based data platform for a quickly scaling business. Build and own our data warehouse and the pipelines that feed it from product, CRM and third-party systems. Model data for analytics and reporting so analysts, product and leadership can rely on it, and keep those models tested and documented. Contribute to architecture decisions and technical direction across the platform. Ensure data quality, performance and scalability. Own data protection obligations within our pipelines, including retention, deletion and subject access requests. Collaborate with product managers, analysts and engineers across distributed teams to deliver high-impact solutions. Leverage AI-powered engineering tools to accelerate delivery while maintaining high standards of quality, security and operational excellence. Basic Qualifications 5+ years of professional experience building and running production data pipelines end to end. Data warehouse design and modelling, including dimensional modelling, slowly changing dimensions, incremental and full-refresh builds, and schemas analysts can query unaided. Hands-on production experience with Redshift, including loading strategies, distribution and sort key design, workload management, query tuning and cost control. An equivalent columnar warehouse (Snowflake, BigQuery) is acceptable with a credible transfer story. Experience running dbt in production, including testing, documentation and CI. Strong SQL, including tuning analytical queries, and strong Python. Experience with relational and NoSQL databases, including Postgres (with JSONB) and DynamoDB or equivalent, and real experience getting analytical value out of NoSQL stores through change data capture, export patterns, denormalisation and schema drift. Hands-on experience designing, deploying and operating data services on AWS, including S3, Glue, Athena, Lambda, EventBridge, Kinesis/Firehose, RDS, IAM and CloudWatch. Experience with infrastructure automation and observability, including infrastructure as code (Terraform). Experience handling regulated personal data in the UK, including GDPR, retention and subject access requests. Comfortable using AI coding assistants (e.g. Claude Code, Cursor, GitHub Copilot) as part of the development workflow. Strong communication skills in English. Russian is a plus. Preferred Qualifications Microsoft Dynamics 365 or Dataverse data extraction (Synapse Link, Dataverse API). Mortgage, property or financial services domain experience. Experience with BI tooling such as Looker or Metabase. Familiarity with managed ingestion tools such as Fivetran or Airbyte. AWS certification. What We Offer Challenging tasks with a great opportunity to level up your skills. 20 working days of paid vacation, with additional days off following the UK holiday calendar. Working hours of 9:00-17:00 London time. An international team spread across Ukraine and Azerbaijan. Ready to Build? OneDome is small enough that your work is visible and large enough that it matters. This is the first data role here, so the warehouse, the models and the standards will be yours to set. If you want to help reshape one of the biggest transactions in people's lives, we would love to hear from you. Salary: $4,500 – $5,500

Workplace: fully About Utorg Founded in 2019, Utorg builds the infrastructure for stablecoin payments: on- and off-ramps, self-custodial wallets, and crypto cards. Over 2 million users across 130+ countries already buy, hold, and spend crypto through our app. On the B2B side, the same rails power 2,100+ platforms, with $2.4B+ moved to date. Fully MiCA-authorized across the EEA. PCI DSS Level 2 certified. Backed by Dragonfly, TA Ventures, and Hypra. Location: Remote About the Role We are looking for an experienced Head of Finance to lead and build out our Finance function. You will own management reporting, financial control, settlements, budgeting, cash-flow planning, and team development. Treasury (liquidity management, payment execution, FX operations, and fund movements) is a separate function and is not part of this role. You will collaborate closely with Treasury but will not have direct administrative authority over it. As Head of Finance, you will be the business owner of financial reporting and automation: define the financial logic, set requirements for the Data team, validate outputs, and embed automated reports into the department’s daily workflow. Key Responsibilities Own and deliver end-to-end management reporting: P&L, Cash Flow Statement, Balance Sheet, plan-vs-actual analysis, and profitability by product, merchant, payment method, and legal entity. Build and maintain the budgeting cycle: operating budget, payment calendar, cash-flow forecast, gap analysis, scenario planning, and obligation tracking. Design and run the financial control framework: regular reconciliations (internal system vs. PSP vs. bank), mismatch classification, SLA-driven resolution process, approval flows, and audit trail. Manage merchant settlements: settlement amount calculation, provider fees, minimum fees, surcharges, refunds, chargebacks, FX conversions, and balance transfers. Oversee multi-entity finance: consolidated reporting across several legal entities, currencies, and intercompany transactions; prepare data for statutory accounting and external audits. Act as the business owner of financial automation: formalize financial logic, define KPIs and data sources, set requirements for Data Analysts, Data Engineers, and Development teams, and accept dashboards and reports into production. Lead and develop the Finance team: hire, structure roles, assign accountability, and drive continuous improvement in a fast-changing environment. Report financial results and insights to the CEO and founders in clear, business-oriented language. Experience we are looking for: 8+ years in finance, with at least 3 years managing a finance team or function . Background in at least one of: fintech, payments/PSP, acquiring, EMI, banking, crypto payments, or another high-volume transactional business. Proven track record of building or transforming financial processes and moving from manual Excel-based reporting to automated pipelines. Experience managing multiple legal entities, currencies, and intercompany operations. Management Reporting Hands-on ownership of P&L, Cash Flow, Balance Sheet, and plan-vs-actual reporting. Ability to define financial metrics and standard calculation formulas; build unit economics. Profitability analysis by product, client, channel, or business line. Confident working with Volume, Revenue, Total Clearing Cost, COGS, Gross Profit & Margin, EBITDA, SG&A, Merchant Obligations, Provider Costs, Net Position, and Cash Flow. Experience presenting financial results to C-level executives and board members. Payments & Financial Operations Deep understanding of money flow in a payment business. Experience with settlement cycles, provider fees, processing and clearing costs, refunds, chargebacks, FX conversions, and balance transfers. Ability to trace the financial result from a single transaction up to the consolidated P&L. Reconciliation & Financial Control Practical experience organizing regular reconciliations: internal data vs. PSP, PSP vs. bank, obligations vs. actual payouts. Ability to classify discrepancies, set acceptable thresholds, assign ownership, define SLAs, and build a resolution process. Experience with audit trail, separation of duties (calculation, verification, execution), and control of manual adjustments. Data Team Collaboration & Automation Ability to formalize financial business logic and define formulas, data sources, and acceptance criteria for reports and dashboards. Experience setting requirements for Data Analysts, Data Engineers, and Development teams. Ability to validate calculations, detect discrepancies between dashboards and source data, and prioritize automation by business impact. Tools Advanced Excel / Google Sheets and experience building financial models. Experience with BI tools (Power BI, Tableau, Grafana, Looker Studio, or similar). Comfortable working with large data volumes. Language English B2+ (Upper-Intermediate or higher). You will work with contracts, bank and PSP correspondence, participate in calls, and explain financial calculations to international counterparts. Nice to Have Hands-on experience with crypto payments: on-ramp/off-ramp, crypto-fiat and crypto-crypto conversions, blockchain fees, wallet balance reconciliation. SQL knowledge; experience with BigQuery or other DWH. Experience implementing ERP, reconciliation systems, or treasury management systems. Background in an international company; experience with European PSPs, EMIs, or banks. Experience building a finance department from scratch or leading a finance transformation. External audit experience. Remote team management experience. What We Expect in 6 Months A clear Finance department structure with defined roles and accountability. Automated P&L reporting with minimal manual Excel work. Regular cash-flow forecasting in place. Merchant settlement monitoring and discrepancy control are running smoothly. Clear boundaries of responsibility between Finance, Treasury, and the Data team. What we offer: Work fully remote as part of an international company. A data-driven environment with an established Data Platform, automated reconciliations, and data-quality checks already in place. Direct reporting line to the founders and CEO, with full ownership over the Finance function. A clear mandate and timeline: within 6 months, you will build a structured Finance department, automate P&L reporting, launch regular cash-flow forecasting, and establish merchant settlement controls with the resources and support to make it happen. A team ready for leadership. Existing finance staff, a dedicated Data team to partner with on automation, and a separate Treasury function that handles execution so you can focus on strategy and control. Career growth as the company scales across multiple entities, currencies, and markets. Competitive salary based on experience and individual performance review. Transparent feedback and a culture that values ownership, open dialogue, and visible impact.

Location: Tokyo, Japan 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 Japan is one of the most sophisticated enterprise technology markets in the world, and one where partners, not vendors, typically own the customer relationship. The Head of Partnerships, Japan will build and lead the team that makes Anthropic's partner ecosystem the primary route to Japanese enterprise. You will set the partner strategy for Japan, develop the team that executes it, and own the partner-sourced and partner-influenced pipeline, revenue and attach rate for the country. You will personally lead our most strategic partner relationships at the executive level while coaching your team to do the same across the GSI, regional SI, and reseller landscape. This is a player-coach role for an experienced partner leader who has built and scaled partner businesses in Japan before, ideally for a US technology company entering or growing in the market. You will work day to day with the Japan sales leadership and the in-region Applied AI team, represent Japan within Anthropic's International Partnerships organisation, and carry the voice of Japanese partners and customers into our global product and go-to-market decisions. Key responsibilities Lead and build the team Hire, develop and retain a high-performing Japan partner team spanning GSI, regional SI and reseller coverage, sized and structured to the market opportunity Set clear goals, territories and partner portfolios for each team member, and hold the team accountable to pipeline, revenue and attach-rate outcomes Establish the team's operating cadence: one-on-ones, weekly pipeline reviews, deal inspection, partner QBRs and quarterly business planning Coach the team on executive engagement, joint business planning and co-selling in Japanese enterprise accounts, and model those behaviours personally Set and own the Japan partner strategy Define which partner segments, partners and motions Anthropic prioritises in Japan, and in what sequence, based on revenue potential, customer reach and strategic fit Design the partner coverage model across our partner landscape (NTT DATA, Fujitsu, NEC, Hitachi, Accenture and others), and where we go deep vs. broad. Localise Anthropic's global partner program for Japan, including tiers, incentives, enablement paths and rules of engagement, and feed Japan requirements back into the global program design Own the annual and quarterly partner business plan for Japan and report on it to International Partnerships leadership Lead our most strategic partnerships Own the executive relationships with Anthropic's most consequential partners in Japan, from joint business planning through to board-level sponsorship on both sides Negotiate and structure partnership agreements, including resale, co-development and revenue-sharing constructs, working with Legal, Finance and Deal Desk Lead the creation of joint solutions and industry offerings with partner practices in manufacturing, financial services, retail, telecommunications, life sciences and the public sector Own partner pipeline, revenue and attach rate Carry the Japan partner-sourced and partner-influenced pipeline and revenue targets, and the partner attach-rate target, for the team Run a disciplined forecast with the team and with Japan sales leadership, ensuring partner deals are registered, progressed and closed with predictability Decide where to deploy partner investments (market development funds, enablement, co-marketing, headcount) for the highest return Build the reporting and systems hygiene that gives International Partnerships and Anthropic leadership a clear, trusted view of the Japan partner business Represent Japan and drive cross-functional execution Act as the single point of accountability for the partner business in Japan with Japan sales leadership, the Applied AI organisation, Marketing, Legal and Product Ensure Japanese partner and customer requirements, including language, data residency, security and sovereignty needs, are understood and prioritised by global product and engineering teams Partner with the Japan sales leader to embed partners into account planning and co-selling for the country's priority accounts Resolve channel conflict between direct sales, SIs and resellers, and set the rules of engagement that keep the ecosystem healthy as it grows Be the face of Anthropic's partner ecosystem in Japan Represent Anthropic at partner executive forums, industry conferences and analyst engagements related to the partner ecosystem Sponsor the development of Japanese customer success stories, delivered with partners, that resonate with Japanese enterprise buyers Build Anthropic's reputation as the partner-first AI company in Japan through the way your team shows up every day Minimum qualifications Experience in enterprise technology, with a substantial portion leading partner, alliances or channel businesses in Japan People leadership experience over partner or alliance teams, with a track record of hiring, developing and retaining strong performers Direct experience building a partner business in Japan for a US or global technology company, ideally through a period of rapid growth or market entry (hyperscaler, enterprise SaaS, data or AI platform) Proven ownership of partner-sourced and partner-influenced revenue targets at a country or regional level, with the forecasting discipline to match Established executive relationships with Japan's major system integrators, consulting firms, and a reputation they would vouch for Experience negotiating complex partnership structures: resale agreements, joint solution development, and revenue-sharing or incentive models Demonstrated ability to operate as a player-coach, personally owning strategic relationships while building a team that scales beyond you Comfort shaping strategy in ambiguity and turning it into an operating plan, while working closely with global teams in other time zones Business-level fluency in Japanese and English, and the cultural fluency to move between Japanese enterprise norms and a fast-moving US company Based in Tokyo Preferred qualifications 15 to 20+ years in enterprise technology leading partner, alliances or channel businesses in Japan and 5+ years of people leadership over partner or alliance teams Experience with AI, data or cloud platform partnerships specifically, including partner-built solutions and marketplace motions Experience on the partner side, inside a Japanese SI or distributor, and an understanding of how those organisations make decisions Experience localising a global partner program for Japan and influencing its design Experience working alongside professional services or applied AI teams to deliver partner-led customer outcomes 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: Belgrade Workplace: remote About Collectly   Collectly is a fast-growing healthcare technology company transforming revenue cycle management (RCM) through AI-driven automation. Millions of patients navigate inefficient billing systems every day, while providers face delayed payments, rising administrative burden, and operational complexity.   Collectly applies artificial intelligence to automate workflows, accelerate cash flow, and modernize the patient financial experience; enabling healthcare organizations to operate more efficiently and focus on delivering care.   There could not be a hotter space to play in.  Healthcare is a $4.9T industry and is adopting AI technology at 2.2x the rate of the rest of the economy.  RCM is at the heart of this transformation as it has a clear and demonstrable ROI to our customers.    About the role We’re hiring a Senior Product Data Analyst to own how customers and our own teams see product performance. You will work both on our pre-service products (visit cost estimates, eligibility and benefits, patient support voice agent) and post-service (patient billing, revenue cycle metrics). You’ll own the dashboards for these products, provide visibility into our product performance, and use the data to find product gaps. You’ll build customer-facing metrics yourself, mostly with AI tools like Claude Code. This is a product role more than an infrastructure one: we want your time going into how each product behaves and what customers run into, not into maintaining pipelines. We are a hybrid company, partly based in Santa Monica, USA and partly remote, spread out around the United States & Europe. Key responsibilities In this role you will Own the dashboards that product and customer teams work from, across most of our products. Turn complaints and open questions into defined metrics, and track them over time. Catch product issues in the data before they become escalations. Work with the founder, product managers, engineers, and customer success to decide what to measure, and explain why a number moved. Required qualifications Must-haves At least 4 years in data or product analytics. Strong SQL and Python. Software engineering experience A product mindset: you start from what the customer experiences, not from what’s in the tables. Fluency with AI-assisted development — we build dashboards and analyses with agentic coding tools (Claude Code and similar) as part of the day-to-day. Healthy skepticism about numbers: you validate before you trust. Exceptional written and oral communication skills. Nice-to-haves Startup experience. Worked with machine learning-related products Experience building dashboards people actually use (Metabase, Looker, or similar). Healthcare experience: eligibility and benefits, patient billing, revenue cycle. Comfort reading application code to see where a number comes from. Collectly is a tech-enabled patient billing platform that works as an add-on for your EHR/PM. Collectly accelerates and increases patient cash flow, streamlines post-service billing operations, and provides the best patient experience that works for all demographics.   Please, see a short video about us

Location: Paris Workplace: Remote ABOUT MORPHO Morpho is a leading Decentralized Finance (DeFi) lending protocol backed by a16z crypto, Paradigm, Ribbit Capital, Apollo, Vaneck, Coinbase Ventures, Variant and 50 others to build an open credit network giving anyone, anywhere, access to the best possible terms. Morpho is experiencing exponential adoption, with over billion in deposits on the network and used by institutional clients including Bitwise, Galaxy, and Anchorage Digital and the largest crypto exchanges, such as Coinbase, Binance, and Kraken. Now, Morpho is scaling its team of contributors to establish itself as the open credit network, not just of DeFi, but of the world.   WHY MORPHO EXISTS Everyone has the potential to build something great for the world. But fulfilling that ambition almost always requires more: people willing to trust you with their capital. Yet access to capital still depends on where you live, who you know, and which institutions are willing to trust you. Even when capital is available, it sits fragmented across disconnected networks and hidden behind intermediaries. The result is a system that fails most of the people it should serve. Borrowers overpay. Lenders earn less than they should. Many are shut out entirely, not because they are unworthy of credit, but because today's infrastructure was never built to connect them. Morpho exists to solve this. Full article here https://morpho.org/blog/why-morpho-exists/. LOCATION - Remote – Europe or US (EST only) - Hybrid – Paris or New York   ROLE Morpho's GTM motion has grown faster than the operations behind it. Pipeline visibility, CRM hygiene, forecasting, and tooling are split across people who all have other jobs, and nobody owns the end-to-end picture. This role owns RevOps outright and builds the systems that help the GTM team close more relevant deals, faster, working directly within the Business Operations team, directly under the Head of BizOps.   RESPONSIBILITIES - Own GTM dashboards and KPI reporting so the team tracks what matters and trusts the numbers. - Run the GTM tech stack, automations, and AI tooling to keep business developers fast and well informed. - Keep the CRM minimal and clean, with stages, hygiene, and processes people actually follow. - Build business intelligence and forecasting to set targets that are ambitious and credible, and to spot new trends early. - Surface signals from markets and media so business developers can chase, upsell, and close at the right moment. - Partner with GTM leadership and Finance on comp design, quota setting, and territory assignment. - Own the knowledge base and data management so accurate information is easy to find and reuse.   WHAT SUCCESS LOOKS LIKE FIRST 30 DAYS - You are fully up to speed on the Morpho product, protocol, and roadmap, and you understand how the GTM team operates today. - You have a prioritized plan for what to build, fix, and delete, and you are already making reps faster.   FIRST 3 MONTHS - You have fixed the biggest gaps and bottlenecks: a cleaner CRM, simpler processes, and the automations, dashboards, and forecasts business developers rely on daily. - You are central to productivity assessment, rep attribution, and deal tracking.   FIRST 6 MONTHS - You own the full RevOps stack and bridge GTM and Finance. - Leadership has full visibility into the business to make better decisions, and you lead entire projects end to end.   MUST HAVE SKILLS & EXPERIENCE - DeFi native: you use onchain products and understand how protocols and their users behave. - Experience as a RevOps, growth engineer, or business analyst at a B2B startup. - Tech or software background: comfortable building automations and reasoning about connected systems. - Strong with data: cleaning, modeling, analyzing, and reporting it accurately. - Finance experience - Business mindset with a critical eye: you challenge metrics and simplify by default. - Strong ownership and autonomy: doesn't wait to be told. - Clear and crisp async communication. - Comfort operating in fast-changing, ambiguous contexts. - Team-first mindset, low ego. PERKS & BENEFITS We design benefits around deep work and growth, so you can do the best work of your career. Expect fair, top-tier compensation, real flexibility, time together in Paris, great health coverage, and support to keep learning.   EQUAL OPPORTUNITY We welcome applicants from all backgrounds and hire based on talent, potential, and values alignment.

Location: Remote: EMEA 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: Product Engineering at Neo4j GraphAware offers a unique opportunity to build real-world intelligence systems that matter. We are aiming to hire someone in the the UK, Czechia or Italy. Build with purpose: Your code will help law enforcement and analysts save lives and protect communities through better data insight. Innovative tech: Work with knowledge graphs, workflow engines, LLMs, and graph-native UIs pushing the boundaries of data analytics. Shape the future: Contribute to product direction and technical vision alongside a senior engineering team. True autonomy: Own your work, from ideation to deployment, in a remote-first team. Global mindset: Collaborate with a world-class team of engineers, data scientists, and product thinkers across Europe and beyond. Growth without bureaucracy: Develop your skills in a non-micromanaged, excellence-driven environment The Role: As a Senior Software Engineer, you will shape the core intelligence of GraphAware Hume, our graph-powered analytics platform. Your responsibilities will include: Building APIs for intuitive user interaction with complex data Designing secure, scalable access control systems for mission-critical environments Orchestrating workflows to automate graph analytics, inference, and real-time insights Optimizing application performance and collaborating with other engineers to ensure seamless user experiences Contributing to architecture and technical design with the team What you must know already and be excited to grow further Proven experience in backend systems (8+ years) with exposure to large-scale, complex applications and cross-functional teams Fluency in Java , with a deep understanding of modern software engineering principles, including: Clean Architecture, Domain-Driven Design (DDD), and Test-Driven Development (TDD) Advanced debugging and profiling techniques, Writing composable, maintainable, and testable code Spring or similar frameworks with emphasis on building secure, modular, and scalable APIs Experience designing data models , both relational (e.g., PostgreSQL) and ideally graph-based (Neo4j or similar) Working knowledge of modern CI/CD pipelines, containerization (Docker), and automated deployment workflows Strong security mindset , with practical knowledge of secure software design and common vulnerabilities (e.g., OWASP) Comfortable with remote team collaboration , i.e. tools and practices for asynchronous communication Bonus points for familiarity with: Graph technologies: Cypher, Neo4j, knowledge graph Event-driven architectures, Kafka, or distributed systems Cloud-native development, observability, and performance tuning Experience working with LLMs or integrating AI/ML into production systems Italy only: The gross annual salary (RAL) range for this role when based in Italy is €50.000-€60.000. Salary is set individually for each candidate, based on objective, gender-neutral criteria such as experience, skills and scope of responsibility. Contract under the collective bargaining agreement (CCNL Metalmeccanici Industria). This information applies to Italy only. For other countries, please speak with the recruiter. 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.