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Location: Colombia; Costa Rica Workplace: remote Provectus is a Premier AWS Partner and an Anthropic partner, featured in Forrester's AI Technical Services Landscape. We are roughly 420 engineers building production AI for enterprise clients in Financial Services, Healthcare and Life Sciences, Retail, and Entertainment. We build custom systems on live client data, not off the shelf products and not demos. We are opening a Solution Owner seat on our Delivery team in Colombia and Costa Rica. This is an early career seat, but it is not a training seat. You will sit between the client and the engineering team on a real engagement, own a slice of scope, and be expected to figure out the next step yourself. The profile we are looking for is specific: you started technical, as a software, data, or ML engineer, and you have already moved toward the business side of building products, or you are ready to make that move now. You are the person on the team who automates their own work with AI tools before anyone asks. What You Will Do: Own a defined slice of a client engagement, from use case framing through backlog, release, and result Run discovery sessions and workshops with client stakeholders, and turn what you hear into written scope engineers can build against Translate technical constraints into business language, and business goals into technical requirements Maintain a groomed backlog with sized, technically specific stories, and drive sprint planning and release cadence Prototype rapidly on live client data using our delivery stack, including Claude, Claude Code, MCP servers, and Skills Work alongside GenAI and agentic AI builds, including RAG, agent workflows, and LLM integrations, closely enough to judge quality and explain trade offs Define success metrics for your slice of scope and report progress honestly, including when something is not working Build reusable artifacts, demos, and documentation so the next engagement starts faster than yours did Partner with Principal Architects, Forward Deployed Engineers, and account teams across US and LATAM time zones What You Will Bring: 2 to 4 years of total professional experience, including hands on engineering time as a software, data, or ML engineer At least 1 year in a product, delivery, or client facing role such as Product Owner, Technical Product Owner, Business Analyst, Delivery Lead, or equivalent Daily use of GenAI tools in your own workflow, Claude and Claude Code preferred, with concrete examples of workflows you redesigned Ability to read code and technical documentation well enough to hold a real conversation with senior engineers Practical Agile and Scrum experience: backlog, sprints, planning, retrospectives Written and spoken English at B2 or above, comfortable leading a client call without a manager in the room Self direction as a default. You are given a goal and ambiguity, not a task list, and you move anyway Based in Colombia or Costa Rica Nice to Have: Exposure to Financial Services and Insurance or Healthcare and Life Sciences clients Working understanding of GenAI concepts: prompt engineering, RAG, embeddings, vector databases, agentic patterns Familiarity with AWS, especially Bedrock, SageMaker, Lambda, or S3 Experience shipping an LLM or RAG feature that reached real users Experience building your own automations, scripts, MCP integrations, or internal tools Consulting or professional services background Certifications such as CSPO, SAFe PO/PM, or AWS Cloud Practitioner What We Offer: Real client delivery on frontier AI from month one, not shadowing Direct access to Principal Architects and Forward Deployed Engineers as your working peers Anthropic and AWS partnership work, with early access to tooling and premium AI subscriptions Internal training programs and full support for AWS and Claude certifications A clear growth path toward Senior Solution Owner or Solutions Architecture Remote work with flexible hours across US and LATAM overlap Long term B2B collaboration Equipment budget and all the tooling you need

Location: US - Remote Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll own your outcomes, from the strategies you run to the conversations that shape what we build next. Collaborative work management is a $14B category growing at 15% a year, and the enterprise competitive set is consolidating fast. Wrike is hiring a Director of Go-To-Market Operations to lead our global GTM Operations team across Sales, Customer Success, and Marketing. You will own Wrike’s revenue planning and operational architecture end-to-end driving annual planning, quota setting, territory management, and cross-functional alignment across our global revenue engine. Reporting directly to GTM leadership, you will serve as a strategic co-pilot to executive leaders while leading a hands-on global team of 6–15 operations partners and analysts. This is an action-oriented leadership role for an operational "athlete'' - someone equally comfortable steering C-level strategic decisions, designing enterprise sales workflows, coaching an international team across time zones, and diving deep into the details of compensation plans or GTM forecasting. Your Impact: Global Team Leadership: Build, scale, and mentor a global GTM Operations team (15 team members, including embedded business partners and visualization analysts across diverse time zones), fostering a high-performance, team-first culture. Annual Planning & Execution: Lead annual planning, quota allocation, capacity modeling, and territory design across Sales, CS, and Marketing teams. Retention & Growth PMO: Partner with executive leadership to program manage company-wide objectives focused on gross/net retention, bookings, and customer lifecycle optimization. Executive Facilitation: Lead recurring operational cadences with executive stakeholders (Sales, CS, Marketing, Finance, Legal) to eliminate friction and accelerate deal velocity. Commercial Support & Governance: Oversee non-customer-facing commercial execution, coordinating with Legal, Finance, and Deal Desk to streamline order processing and contracting workflows. Your Qualifications: 8+ years of progressive experience in Business Operations, Revenue Operations, or GTM Operations within B2B SaaS. Proven People Leadership: Direct experience managing and developing global operational teams (6+ direct/indirect reports) across international time zones. Core GTM Mechanics: Expertise in SaaS unit economics, quota setting, territory planning, retention/bookings metrics, and annual planning processes. Execution Track Record: High proficiency operating as an executive-level partner to Sales, Marketing, and CS leadership without needing a massive administrative layer. Location Preference: East Coast U.S. preferred (ability to align with global time zones and executive leadership). Standout Qualities: Core Traits: High curiosity (constantly seeking better ways to execute), unyielding commitment to follow-through, and rigorous attention to detail. Sales Methodology: Familiarity with enterprise value selling frameworks (e.g., Force Management's Command of the Message, MEDDPICC, or Challenger). Target Background: Experience operating in high-growth, execution-oriented B2B SaaS environments Team Dynamics: You will partner closely with executive leadership and lead a global team of GTM business partners and data visualization specialists. Your team acts as the central nerve center connecting field execution with executive strategy. Our Work Style: We run Wrike on Wrike. You will use our collaborative work management platform daily to run annual planning, manage operational portfolios, and track team execution. We value intellectual curiosity, data-backed decision-making, and swift cross-functional execution. Benefits & Perks: Flexible Time Off (FTO) Company 401(k) Match Parental Leave: 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Health (medical, dental & vision) Insurance (EEs + Dependents) Disability (STD, LTD) & Life Insurance Plans (2x Salary, Capped) Working from Home Allowance ($40 / Monthly) $500 Working from Home home office set-up Stipend Your recruitment buddy will be Aziza Talhi , Senior Recruiter. #LI-AT1 The range below reflects the total on-target earnings (including base salary and performance-based bonus potential) for this full-time position and applies to all U.S. locations, excluding benefits and other incentives. The final offer within this range will consider factors such as the role, seniority level, geographic location, and employment contract type. An individual’s work location, unique skills, experience, and relevant educational background will also influence the final offer. For tailored compensation details based on your preferred location, please discuss with your recruiter during the hiring process. Total compensation pay range $180,000 — $205,000 USD Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Задачи: • Разрабатывать и поддерживать высоконагруженные сервисы на Go; • Проектировать и реализовывать pricing models, pricing formulas и алгоритмы оценки активов; • Разрабатывать алгоритмы для обработки и анализа рыночных данных; • Интегрироваться с внешними API, в том числе с частично документированными или undocumented API; • Работать с web-источниками и извлекать данные из неструктурированной и частично структурированной информации; • Проектировать и реализовывать распределённые механизмы взаимодействия между сервисами; • Автоматизировать процессы, связанные с торговыми и рыночными системами; • Оптимизировать решения с точки зрения производительности, надёжности и масштабируемости; • Взаимодействовать с quantitative analysts и другими разработчиками: переводить аналитические идеи и гипотезы в работающие production-решения; • Самостоятельно разбираться в open-ended задачах. Требования: • Коммерческий опыт разработки, включая существенный опыт с Go; • Уровень — Senior или сильный Middle, который способен самостоятельно решать сложные инженерные задачи; • Хорошее понимание принципов software engineering, архитектуры, масштабирования и оптимизации производительности; • Умение работать с API и данными при неполной или отсутствующей документации; • Способность обрабатывать и парсить частично структурированную информацию; • Сильные аналитические навыки, готовность работать без пошаговой инструкции и брать ответственность за результат. Будет плюсом: • Опыт в fintech, trading, market data, quantitative development. Условия: • Полностью официальная белая зарплата; • Работа из современного офиса в Лимассоле (район Гермасойя, Колонакиу); • Возможность начать удалённо, если вы находитесь не на Кипре; • Полноценный релокационный пакет: компенсация авиабилетов (в том числе для семьи), 1 месяц проживания, покрытие визовых расходов, организация и сопровождение процесса переезда.

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: 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: 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: Istanbul Workplace: Hybrid ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. TEAM You will be an integral part of a newly established internal studio, a dynamic and focused team dedicated to one of our most promising prototype in scale. This studio is specifically chartered to improve this high-potential game up to the successful and market-ready title it is meant to become.  In this exciting role, your initial focus will be on one of our new Puzzle Games that have already demonstrated significant promise and captured our attention with their compelling core mechanics and engaging gameplay. ROLE We are looking for a senior Unity C# Game Developer who has been a primary contributor to the Game architecture, Feature development, and design for several casual games. You will collaborate with a variety of experts: Product Managers, Game Artists, Game Developers, Tech Engineers, Monetization Managers, Data Analysts... - Work closely with small teams of Unity Game Developers and Artists - Implement game logic and systems in C# using Unity - Adapt and work within an existing code base, enhancing its functionality, stability and performance - Provide guidance and share your expertise - Ensure timely delivery of high-quality results PROFILE - Advanced Unity knowledge (3y+) including scripting in C#, UI systems, animation, particle systems, etc. - A critical thinker and a problem solver with a keen eye for identifying problems in workflows and processes (and driving them to a resolution) - Previous experience and exposure to the game production process (as part of a game dev studio or otherwise) - Skilled in identifying performance bottlenecks and implementing optimisations, with a strong focus on memory management, frame rate stability, and reducing load times - Experience with analytics-driven development and A/B testing in live games would be a plus - Excellent communication skills and a strong teamwork mindset - Good sense of gameplay experience and special attention to detail - AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work - Speak and write English BENEFITS - Best in Class compensation - Other benefits according to the country you reside.

Location: Canada What the Role Is As the Senior Manager of Data Analytics for Ecommerce, Health & Supply Chain, this role will be responsible for partnering with Health, Merchandising, Inventory Management, and Fulfillment teams. You will influence the company’s strategy and help the company grow through advanced business analytics that raise data fluency and sharpen how decisions are made. The successful leader must be ready to roll up their sleeves and dive into the data, systems, and models, while working collaboratively with the team ensuring you are able to effectively partner across the organization. This highly visible role will interact with the executive team as a thought partner to bring new insights and recommendations to the table. Who You Are Deep eCommerce or retail analytics experience - fluent in the core KPIs for inventory, order economics, pricing, and fulfillment/supply chain cost and efficiency (AOV, unit economics, instock rates, meat beat scores, fulfillment CPUs), and you apply proven industry practice rather than rebuilding it from scratch Proven at balancing people management with hands-on IC work - you can point to analysis you've owned yourself while leading a team, not just work you've coordinated Experienced managing experienced analysts - you bring structure and clear prioritization to a team that already executes well, so they're always on the highest-impact work Confident partnering with VP+ stakeholders - you've built real relationships with senior business leaders and shape priorities with them proactively, front and center with executives Hands-on with AI-native analytics - you've built or are genuinely curious about self-serve analytics infrastructure (semantic layers, context layers, AI-connected reporting), not just traditional dashboards Engaged in what we're building - you ask why before how, challenge assumptions, and contribute to direction instead of delivering dashboards in isolation Prioritizes progress over perfection - you scale rigor to what's at stake and ship a strong, decision-ready answer on time rather than over-polishing 8+ years of experience, ideally with experience in a Data role in a high growth consumer technology or e-commerce company; 5+ years of experience at a manager level You naturally reach for AI in your work - at Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next. Strong sense of ownership, intellectual curiosity and an ability to think creatively and critically and thrive in a fast-paced, dynamic environment and manage multiple priorities High attention to detail but an equally important ability to see the big picture and evaluate analyses with strategic business context Extensive experience in data analytics, big data technologies, and statistical modeling to drive business insights. Strong knowledge of data governance, data quality management, and data strategy principles. How You Will Make An Impact Lead and develop 5 experienced analysts and data scientists - prioritization, coaching, quarterly goal-setting, and clean handoffs with stakeholders Own a meaningful book of actionable analysis yourself across eCommerce, supply chain, and health - you stay close to the data, not managing from a distance Partner directly with senior leaders in each area, with regular exposure to the executive team Define and steward the KPI and reporting standards these functions run on Advance our AI-native analytics roadmap, including self-serve tools that connect business teams directly to our data Set the bar for what strong, AI-forward analytics work looks like - and champion it across the team, pushing analysts to share ideas, cross-pollinate approaches, and spread unlocks org-wide Create a culture of Data Analytics excellence where the function is viewed as a strategic partner on analytical matters, providing guidance and assistance to all functional groups as needed Solve complex business challenges by delivering accurate and timely analysis, business insights, and recommendations that deliver results, drive improvements, and influence leaders Translate business priorities into a clear, prioritized analytics roadmap - weighing tradeoffs and making strong recommendations on what the team takes on and what waits Why This Role You're inheriting 5 strong analysts who are already delivering - this isn't a rebuild, it's a chance to level up and scale a team for the future growth of Babylist This pod sits at the intersection of supply chain, health, and e-commerce, with direct exposure to senior business leaders Babylist's data team is genuinely ahead of the curve on AI-native analytics - you'll help shape self-serve tooling most companies are just starting to think about Real IC time is built into this role by design - you'll stay close to the work, not manage from a distance Who We Are Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step. Our Ways of Working Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up. Why You Will Love Working At Babylist Our Culture We work with focus and intention, then step away to recharge We believe in exceptional management, and we invest in the tools and the time to connect with colleagues We build products that positively impact millions of people's lives AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts Growth & Development Competitive pay and meaningful opportunities for career advancement We believe technology and data can solve hard problems We're committed to career progression and performance-based advancement Benefits Company-paid medical, dental, and vision insurance Retirement savings plan with company matching and flexible spending accounts Generous paid parental leave and PTO Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed Remote work stipend to set up your office Perks for physical, mental, and emotional health, parenting, childcare, and financial planning Important Notices Recorded Interviews. Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity. AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. How We Review Applications We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person. Connections at Babylist. If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams. All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.

Location: United States What the Role Is As the Senior Manager of Data Analytics for Ecommerce, Health & Supply Chain, this role will be responsible for partnering with Health, Merchandising, Inventory Management, and Fulfillment teams. You will influence the company’s strategy and help the company grow through advanced business analytics that raise data fluency and sharpen how decisions are made. The successful leader must be ready to roll up their sleeves and dive into the data, systems, and models, while working collaboratively with the team ensuring you are able to effectively partner across the organization. This highly visible role will interact with the executive team as a thought partner to bring new insights and recommendations to the table. Who You Are Deep eCommerce or retail analytics experience - fluent in the core KPIs for inventory, order economics, pricing, and fulfillment/supply chain cost and efficiency (AOV, unit economics, instock rates, meat beat scores, fulfillment CPUs), and you apply proven industry practice rather than rebuilding it from scratch Proven at balancing people management with hands-on IC work - you can point to analysis you've owned yourself while leading a team, not just work you've coordinated Experienced managing experienced analysts - you bring structure and clear prioritization to a team that already executes well, so they're always on the highest-impact work Confident partnering with VP+ stakeholders - you've built real relationships with senior business leaders and shape priorities with them proactively, front and center with executives Hands-on with AI-native analytics - you've built or are genuinely curious about self-serve analytics infrastructure (semantic layers, context layers, AI-connected reporting), not just traditional dashboards Engaged in what we're building - you ask why before how, challenge assumptions, and contribute to direction instead of delivering dashboards in isolation Prioritizes progress over perfection - you scale rigor to what's at stake and ship a strong, decision-ready answer on time rather than over-polishing 8+ years of experience, ideally with experience in a Data role in a high growth consumer technology or e-commerce company; 5+ years of experience at a manager level You naturally reach for AI in your work - at Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next. Strong sense of ownership, intellectual curiosity and an ability to think creatively and critically and thrive in a fast-paced, dynamic environment and manage multiple priorities High attention to detail but an equally important ability to see the big picture and evaluate analyses with strategic business context Extensive experience in data analytics, big data technologies, and statistical modeling to drive business insights. Strong knowledge of data governance, data quality management, and data strategy principles. How You Will Make An Impact Lead and develop 5 experienced analysts and data scientists - prioritization, coaching, quarterly goal-setting, and clean handoffs with stakeholders Own a meaningful book of actionable analysis yourself across eCommerce, supply chain, and health - you stay close to the data, not managing from a distance Partner directly with senior leaders in each area, with regular exposure to the executive team Define and steward the KPI and reporting standards these functions run on Advance our AI-native analytics roadmap, including self-serve tools that connect business teams directly to our data Set the bar for what strong, AI-forward analytics work looks like - and champion it across the team, pushing analysts to share ideas, cross-pollinate approaches, and spread unlocks org-wide Create a culture of Data Analytics excellence where the function is viewed as a strategic partner on analytical matters, providing guidance and assistance to all functional groups as needed Solve complex business challenges by delivering accurate and timely analysis, business insights, and recommendations that deliver results, drive improvements, and influence leaders Translate business priorities into a clear, prioritized analytics roadmap - weighing tradeoffs and making strong recommendations on what the team takes on and what waits Why This Role You're inheriting 5 strong analysts who are already delivering - this isn't a rebuild, it's a chance to level up and scale a team for the future growth of Babylist This pod sits at the intersection of supply chain, health, and e-commerce, with direct exposure to senior business leaders Babylist's data team is genuinely ahead of the curve on AI-native analytics - you'll help shape self-serve tooling most companies are just starting to think about Real IC time is built into this role by design - you'll stay close to the work, not manage from a distance About Compensation We use a market-based approach to compensation. The starting salary range for this role is: $228,250 to $273,900 + 20% target bonus and competitive equity Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity. Who We Are Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step. Our Ways of Working Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up. Why You Will Love Working At Babylist Our Culture We work with focus and intention, then step away to recharge We believe in exceptional management, and we invest in the tools and the time to connect with colleagues We build products that positively impact millions of people's lives AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts Growth & Development Competitive pay and meaningful opportunities for career advancement We believe technology and data can solve hard problems We're committed to career progression and performance-based advancement Benefits Company-paid medical, dental, and vision insurance Retirement savings plan with company matching and flexible spending accounts Generous paid parental leave and PTO Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed Remote work stipend to set up your office Perks for physical, mental, and emotional health, parenting, childcare, and financial planning Important Notices Recorded Interviews. Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity. AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. How We Review Applications We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person. Connections at Babylist. If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams. All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.

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

Location: Poland Workplace: remote About Finom   Finom is a European tech startup headquartered in Amsterdam, and we’re on a journey towards revolutionizing the financial landscape for entrepreneurs worldwide. Our mission is to develop an all-in-one financial B2B solution that integrates banking functions, accounting, financial management, and invoicing into a seamless, mobile-first platform.   We recently closed a €115 million Series C equity round (around $133 million), bringing our total funding to approximately $346 million. This significant investment follows a $105 million growth funding round from General Catalyst, a long-term backer since 2021 known for supporting companies like Airbnb, HubSpot, KAYAK, and Stripe.   Finom's platform goes beyond traditional banking, offering invoicing and a growing suite of features, including AI-enabled accounting, aiming to simplify financial management for entrepreneurs. We're actively expanding our reach across key EU markets like Germany, France, the Netherlands, Italy, and Spain.   At Finom, we’re not just redefining the entrepreneurial experience — we’re empowering our employees to make a real difference. Your work matters, and your impact extends far beyond product metrics. We nurture innovation and an inspiring work environment where bold ideas thrive, prioritizing thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and our business as a whole.   Maintaining our start-up spirit, we prioritize thorough research, swift implementation of solutions, and ensuring that every effort we make benefits our users, employees, partners, and, of course, our business. We're hiring Senior Product Designers for Credit & Cards (credit application, card issuance, and repayment experiences used by real businesses managing real money). You'll own design from discovery through delivery, turning complex financial workflows into experiences that are simple, trustworthy, and easy to act on — working closely with Product, Engineering, Analytics, and Research. What You’ll Do Own end-to-end design for your domain — from problem framing and research to shipped, polished UI. Use research, product data, and customer feedback to guide and defend design decisions. Collaborate with Product Managers, Engineers, and Analysts to scope work and define outcomes. Hands-on experience designing native mobile app products (iOS/Android), you should be comfortable with mobile-specific interaction patterns and constraints (touch, limited screen space, performance, offline states) Contribute to the design system, improving consistency, accessibility, and craft across the interface. Design credit application, card issuance, and repayment experiences that build trust in complex financial decisions. Translate compliance and risk requirements (credit checks, KYC, repayment terms) into clear, honest, usable flows. Balance conversion goals with responsible communication of risk and cost to the customer. Who You Are 4+ years of experience in product design, with ownership of complex, multi-step user flows. A strong portfolio showing user-centered thinking and polished interaction/visual craft. Hands-on experience designing native mobile app products (iOS/Android), you should be comfortable with mobile-specific interaction patterns and constraints (touch, limited screen space, performance, offline states) Experience designing platforms with multiple states, permissions, edge cases, and dependencies. Comfortable using research, data, and business context to defend design decisions in cross-functional squads. Fluent professional English Nice to Have Fintech, SaaS, or other regulated/complex-industry experience (not required — a plus). Prior experience with lending, payments, or KYC/compliance flows. Regular use of AI tools (e.g. prototyping, research synthesis) in your workflow. Hiring Process Step 1: Async Portfolio Review — We review your portfolio link and one written response to assess craft and design quality before scheduling any calls. Step 2: Hiring Manager Call — A video chat with VP of Design focusing on your ownership, drive, and collaborative style. Step 3: Take-Home Assignment — A practical Finom product case study (3–5 days turnaround) evaluated for strategic thinking, user insights, and design execution. Step 4: Live Presentation & Cross-Functional Interview — A full walkthrough and Q&A with design and product leads. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

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. 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: 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: Hyderabad, India Location: Hyderabad, India (Hybrid) Employment Type: Contract based About us: Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges. Job Summary: This hybrid role combines strategic product ownership with deep business systems analysis to join the Xenon7 Core Team . In this strategic hybrid role, you will act as a key driver across our internal core initiatives and high-impact client engagements within the Media and Pharma Tech practice. You will bridge high-level strategy, business requirements, and technical execution, owning product backlogs, leading requirements discovery, and designing workflows across non-core banking systems, data pipelines, and digital platforms. A. Product Ownership & Backlog Management Backlog Leadership: Own, structure, and prioritize the product backlog for core Xenon7 platform solutions and key delivery practices, balancing feature value, tech debt, and strategic goals. Story & Requirement Definition: Author clear, actionable User Stories complete with robust Acceptance Criteria (BDD/Gherkin) alongside formal BRDs/FRDs when navigating structured SDLC governance. Agile Execution: Lead sprint planning, backlog refinement, daily standups, and sprint demos in collaboration with engineering teams, data architects, and QA leads. Release Approval: Define acceptance criteria, validate delivered features, and hold sign-off authority for production releases. B. Business & Systems Analysis Workflow Automation & Optimization: Analyze complex operational processes, identify bottlenecks, and architect TO-BE automated solutions using enterprise platforms like ServiceNow , JIRA , and custom software stack implementations. Systems & Data Integration: Conduct gap analysis for enterprise non-core banking platforms (CRM, ECM, HR systems) and define system interface specifications, data flows, and REST API mappings. Practice Standards: Establish and champion BA/PO best practices, documentation templates, and requirement-gathering frameworks across the Xenon7 delivery organization. C. Strategic & Regulatory Alignment Financial Domain Expertise: Translate complex banking standards and regulations—such as Central Bank of Egypt (CBE) frameworks, IFRS 9 , AML/KYC , and Basel compliance—into actionable product specifications. Stakeholder Management: Serve as a subject matter expert and trusted advisor to internal executive leaders and key client counterparts, translating complex business needs into technical solutions. D. Data Analytics & Quality Assurance Data Insights: Utilize SQL , Power BI , and Tableau to profile datasets, validate functionality, and build executive-level delivery and performance dashboards. UAT Governance: Define test strategy, coordinate User Acceptance Testing (UAT), review QA test scenarios, and manage defect resolution to guarantee enterprise-grade delivery. Requirements Experience: 5 + years of experience as a Business Analyst, Product Owner, or hybrid BA/PO Domain Expertise: Deep knowledge of enterprise systems ( CRM, ECM, HR platforms, ServiceNow ) and pharma/ media platforms Technical Toolset: Proficiency in JIRA , Confluence , and ServiceNow . Strong working knowledge of Power BI , Tableau , and SQL for data analysis. Solid understanding of REST APIs, microservices architectures, and database design. Agile Mastery: Hands-on experience driving product delivery in Scrum, Kanban, and hybrid delivery models. Languages: Advanced communication skills in English (written and spoken). Preferred Certifications Product Ownership: Professional Scrum Product Owner (PSPO), CSPO, or Agile BA. Business Analysis: Certified Business Analysis Professional (CBAP) or PMI-PBA.