Вакансии

Location: Mexico ABOUT THE ROLE We're looking for an experienced Regional Marketing Manager to build and scale Wonderful's brand, ecosystem, and market presence across their region, while contributing to our global marketing strategy. This is a high-impact opportunity for someone who thrives in fast-paced environments, can bridge strategy and execution, and enjoys building programs from the ground up. As the primary marketing leader in-region, you will act as a trusted business partner to the Regional General Manager (GM), ensuring marketing is fully aligned with regional business priorities and supports every stage of the customer lifecycle from awareness and demand generation through customer acquisition, expansion, advocacy and retention. KEY RESPONSIBILITIES - Serve as the strategic marketing business partner to the Regional GM, developing and executing regional marketing plans aligned to business objectives and revenue targets. - Own and execute the regional marketing strategy, ensuring alignment across the entire customer lifecycle, including awareness, demand generation, pipeline acceleration, customer marketing, advocacy and retention. - Plan and deliver integrated marketing programs that drive brand awareness, demand generation, pipeline growth and customer engagement. - Lead regional field marketing initiatives, including executive engagement, flagship events, customer programs, ecosystem and partner marketing, PR, content and strategic communications. - Partner closely with leadership, GTM team, Central Marketing teams to execute regional go-to-market initiatives and support revenue growth. - Localise global messaging, campaigns and product positioning to resonate with regional enterprise audiences. - Develop and execute account-based marketing (ABM) programs targeting priority enterprise accounts. - Build relationships with customers, partners, analysts, media and industry influencers to strengthen Wonderful's market presence. - Manage regional marketing budgets, agency relationships and external vendors where required. - Measure, analyse and report on marketing performance, using data and insights to optimise campaigns and maximise ROI. - Provide regular market intelligence, customer insights and competitive feedback to help shape regional and Central Marketing strategy. QUALIFICATIONS - 8+ years' experience in B2B enterprise marketing, with a strong background in field marketing and integrated demand generation. - Proven experience partnering closely with senior business leaders and commercial teams to deliver measurable business outcomes. - Hands-on experience across field marketing, executive events, account-based marketing (ABM), partner marketing, integrated campaigns, PR, content marketing and communications. - Strong understanding of enterprise go-to-market (GTM) strategies and the full customer lifecycle. - Experience translating product messaging into compelling regional campaigns and marketing assets. - Experience working within enterprise AI, SaaS, cloud, cybersecurity or enterprise software organisations is highly desirable. - Strong analytical skills with experience measuring marketing performance and optimising programs based on data. - Excellent stakeholder management and communication skills, with the ability to influence across regional and global teams. - Comfortable operating in a fast-paced, high-growth environment with the ability to manage multiple priorities. - Professional proficiency in written and spoken English. PROFILE - Highly self-driven with a strong sense of ownership and accountability. - Strategic thinker who enjoys being hands-on and delivering results. - Trusted business partner with strong commercial acumen and the ability to influence senior stakeholders. - Entrepreneurial mindset with the ability to build and scale programs from the ground up. - Excellent communicator with strong business judgement and customer focus. - Collaborative team player who thrives working across functions, regions and cultures. - Passionate about technology and excited by the opportunity to help shape the future of enterprise AI. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Andean Workplace: Hybrid ABOUT THE ROLE We're looking for an experienced Regional Marketing Manager to build and scale Wonderful's brand, ecosystem, and market presence across their region, while contributing to our global marketing strategy. This is a high-impact opportunity for someone who thrives in fast-paced environments, can bridge strategy and execution, and enjoys building programs from the ground up. As the primary marketing leader in-region, you will act as a trusted business partner to the Regional General Manager (GM), ensuring marketing is fully aligned with regional business priorities and supports every stage of the customer lifecycle from awareness and demand generation through customer acquisition, expansion, advocacy and retention. KEY RESPONSIBILITIES - Serve as the strategic marketing business partner to the Regional GM, developing and executing regional marketing plans aligned to business objectives and revenue targets. - Own and execute the regional marketing strategy, ensuring alignment across the entire customer lifecycle, including awareness, demand generation, pipeline acceleration, customer marketing, advocacy and retention. - Plan and deliver integrated marketing programs that drive brand awareness, demand generation, pipeline growth and customer engagement. - Lead regional field marketing initiatives, including executive engagement, flagship events, customer programs, ecosystem and partner marketing, PR, content and strategic communications. - Partner closely with leadership, GTM team, Central Marketing teams to execute regional go-to-market initiatives and support revenue growth. - Localise global messaging, campaigns and product positioning to resonate with regional enterprise audiences. - Develop and execute account-based marketing (ABM) programs targeting priority enterprise accounts. - Build relationships with customers, partners, analysts, media and industry influencers to strengthen Wonderful's market presence. - Manage regional marketing budgets, agency relationships and external vendors where required. - Measure, analyse and report on marketing performance, using data and insights to optimise campaigns and maximise ROI. - Provide regular market intelligence, customer insights and competitive feedback to help shape regional and Central Marketing strategy. QUALIFICATIONS - 8+ years' experience in B2B enterprise marketing, with a strong background in field marketing and integrated demand generation. - Proven experience partnering closely with senior business leaders and commercial teams to deliver measurable business outcomes. - Hands-on experience across field marketing, executive events, account-based marketing (ABM), partner marketing, integrated campaigns, PR, content marketing and communications. - Strong understanding of enterprise go-to-market (GTM) strategies and the full customer lifecycle. - Experience translating product messaging into compelling regional campaigns and marketing assets. - Experience working within enterprise AI, SaaS, cloud, cybersecurity or enterprise software organisations is highly desirable. - Strong analytical skills with experience measuring marketing performance and optimising programs based on data. - Excellent stakeholder management and communication skills, with the ability to influence across regional and global teams. - Comfortable operating in a fast-paced, high-growth environment with the ability to manage multiple priorities. - Professional proficiency in written and spoken English. PROFILE - Highly self-driven with a strong sense of ownership and accountability. - Strategic thinker who enjoys being hands-on and delivering results. - Trusted business partner with strong commercial acumen and the ability to influence senior stakeholders. - Entrepreneurial mindset with the ability to build and scale programs from the ground up. - Excellent communicator with strong business judgement and customer focus. - Collaborative team player who thrives working across functions, regions and cultures. - Passionate about technology and excited by the opportunity to help shape the future of enterprise AI. Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice

Location: Madrid About Interbrand Interbrand understands what it takes today to build the world’s most iconic brands. To support our clients in an ever more complex and fascinating world, we have renewed our commitment to both common global standards and greater empowerment, experimentation and entrepreneurialism. Interbrand is its people. We are a global team of highly diverse thinkers, makers and collaborators. We are proud of our heritage and often regarded as the university of branding. Over the past four decades, we have pioneered iconic work and invented many of the brand building tools that are now commonplace. In collaboration with many of the world’s leading brands, we are pioneering the future of brand building. In a world where people’s expectations are moving faster than businesses, we give our clients the confidence to make Iconic Moves that create desire and utility, reshape the competitive landscape and drive extraordinary results. The Interbrand Best Global Brands study/rankings are resources to our clients and the industry, providing proprietary data and insight for our role as client partner and commentator. We have published 18 books on brands and are often the reference point for university curriculum and professional associations. Today, through our own Academy, we aim to be the most impactful learning environment in the marketing world. Our Behaviours Our culture is informed by a set of behaviours we co-created as a business. Our behaviours give us space to experiment, permission to speak out, and a model of leadership that anyone in the business can adopt. Our behaviours are Lead with love, Be Brave, Listen First and Make it happen. We are proud of our behaviours. They make us, us. Our Interbrand Madrid office is looking for an Associate Director Strategy to join the Strategy Team. The candidate will lead and develop client projects and team capabilities in areas directly related to Interbrand offering (Human Truths, Economics and Experience) as well as be a key contributor to team culture and overall quality helping grow and maintain key clients. Key Tasks and Responsibilities: Client work: -Lead and contributes directly to structure, content and delivery of documents for internal or client use (diagnostic, repositioning, brand architecture, etc). -Lead and moderate workshops (internal and external). - Act as key reference for client (trusted advisor) to help grow the relationship with new opportunities identified -Thought Leadership: - Contribute to IB intellectual capital and reputation. -Work periodically with strategy peers and across Group to share and extract relevant information from clients. - Collaborate actively with the Head of Strategy to foster a positive culture and power knowledge sharing Team/Management: - Be able to lead a New Business presentation if New Business representative not available. -Manage senior consultants, consultants or analysts (coordinating, coaching, reviewing). - Lead the recruiting process: shortlist selection, interview and summary (enlisting and coordinating help from others when needed) -Actively collaborate with group companies: C-Space, Rep Institute to improve Interbrand´s servicing to clients. -Act as a reference for feedback from anyone in team (acts as informal mentorship for all). -Define appropriate team for project with the validation from Head of Strategy and coordinates project deliveries alongside Client Service and Design representatives. -Directly contribute to grow revenue streams (directly with New Business or otherwise). Required Knowledge: General business knowledge Bilingual Spanish-English/ Excels in written and verbal English is a must Degree in Business, Advertising, PR or similar At least 8 years of experience in similar business High degree of computer knowledge Personal and professional skills: Passionate about working with leading brands Ability to collaborate across all functions within and outside the team Self-starter, who is pro-active and can work effectively under pressure and speed Delivers to excellence and good attention to detail Naturally curious about consumer-facing issues and current affairs Open minded and can bring a fresh perspective to a problem Does it sound like you belong with us? Apply today! We are working through access barriers across our job site, so if you run into any issues and would like this information in an alternative format, or would prefer to apply via email, please send us a message at careers@interbrand.com.

Location: Dubai, United Arab Emirates We are seeking a detail-oriented Quality Assurance (QA) Engineer to ensure the quality, reliability, and performance of enterprise applications and AI-powered solutions. The ideal candidate will be responsible for planning and executing comprehensive testing activities, validating AI outputs, identifying defects, and ensuring all deliverables meet quality standards before production release. Key Responsibilities Develop test strategies, test plans, and comprehensive test cases. Perform functional, integration, regression, system, and user acceptance testing (UAT). Validate AI and Agentic AI outputs against business requirements and quality standards. Identify, document, track, and verify defects through resolution. Execute both manual and automated testing where applicable. Verify application performance, usability, reliability, and security. Ensure all deliverables meet quality standards before production deployment. Prepare test reports, defect reports, and QA documentation. Collaborate closely with developers, AI engineers, business analysts, and stakeholders to improve product quality continuously. Requirements Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field. 4+ years of Quality Assurance experience. Experience in manual and automated testing. Strong knowledge of functional, integration, regression, system, and UAT testing. Experience with defect tracking and test management tools (e.g., Jira, Azure DevOps, TestRail). Experience testing REST APIs using tools such as Postman. Experience validating AI or Generative AI applications is a plus. Understanding of software development lifecycle (SDLC) and Agile methodologies. Strong analytical, problem-solving, and documentation skills. Excellent communication and teamwork skills.

Location: Bangalore, India From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Our mission is to empower data practitioners to create and disseminate organizational knowledge. dbt Core is the open-source engine at the heart of this mission, used by tens of thousands of analysts and engineers to transform data with the rigor of software engineering. We are looking for a systems-oriented engineer to join the small, expert team that builds and maintains this foundational piece of the modern data stack. This is an opportunity to work on deeply technical, high-leverage problems where your contributions will improve the daily workflow of a massive and passionate open-source community. About The Team The dbt Core team are the stewards of the open-source engine that powers the modern data stack for tens of thousands of practitioners. This small, high-trust group of systems engineers tackles the most fundamental challenges in dbt: ensuring the performance, reliability, and architectural integrity of dbt itself. They not only own the core execution engine but also architect the crucial adapter framework that connects dbt to a growing ecosystem of databases and data platforms. As a Staff Software Engineer on the Core & Adapters team, you will be a steward of the performance, reliability, and architectural integrity of dbt. You will tackle ambiguous, open-ended problems and take ownership of critical systems. What You’ll Do Dive deep into the dbt-core execution engine, using your systems expertise to identify, debug, and eliminate performance bottlenecks in our Python codebase. Architect and implement improvements to our adapter interface, the crucial layer that connects dbt to a growing ecosystem of databases and data platforms, enabling the community to build more powerful and efficient integrations. Debug complex, system-level issues that span from Linux process management and concurrency models to database query planning and network protocols. Lead technical design discussions and contribute to the long-term architectural roadmap for dbt Core, making key decisions about what, how, and when we build to ensure its scalability and reliability for years to come. Mentor other engineers and review contributions from our vibrant open-source community, upholding our high standards for code quality, testing, and design while fostering a collaborative and inclusive environment. Take strong ownership of our distributed systems, troubleshoot complex production issues, and participate in an on-call rotation to maintain high availability and deliver a resilient platform experience. Skills We’re Looking For We are looking for an engineer with a strong performance and debugging mindset, excellent mental models for complex systems, and a deep curiosity for infrastructure and open-source software. Required Qualifications: 6+ years of professional software development experience, with a focus on building and operating backend systems in a production environment. Deep backend engineering experience and proficiency in Python. A systematic, first-principles approach to problem-solving, with comfort navigating and debugging in Linux environments (e.g., understanding process scheduling, memory management, file systems). Solid grasp of database internals, such as query execution engines, storage layers, indexing strategies, and transaction management. Excellent communication skills and a sense of ownership, with the ability to balance technical depth with fast, iterative delivery. Preferred Qualifications: A background in data warehousing, data engineering, or analytics engineering. Professional experience writing production code in Go or Rust. Experience contributing to or maintaining a popular open-source project. Experience building compilers, interpreters, or developer tooling. Familiarity with performance analysis tools like perf or strace . The Team & Our Culture You will join a small, high-trust team of senior and staff-level engineers who are passionate about building robust, well-crafted, and reliable software. We operate in a remote-first, asynchronous-friendly environment that values deep work, clear written communication, and a high degree of autonomy. We are deeply connected to our users and the open-source community, and we believe that the best solutions come from a rigorous, collaborative, and empathetic engineering process. #LI-REMOTE #LI-SA1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote (Ukraine) About us: Gismart is a value-driven mobile app developer with a strong presence in the Health & Wellness, Utilities, and Music app markets. We have recently achieved a significant milestone of over 1 billion downloads worldwide, taking a step toward our mission of cultivating the well-being of people worldwide. With headquarters in London, UK, Gismart is a dynamic global company with a reach extending across Europe and far beyond. Our determined team consists of 250 individuals who bring diversity, creativity, innovation, and relentless drive to the company. Gismart unites professionals from diverse backgrounds in entertainment, music, and tech, allowing us to play to each other’s strengths and succeed as a team. Our mission: Become a stepping stone on our customers’ journeys of self-improvement. Our values: - Deliver what matters - Respect and support others - Initiate and own - Voiceopenly - Execute with quality If you are passionate about mobile app development and want to join a company that’s reshaping the industry, Gismart is the place for you. We provide exciting career opportunities, a supportive workplace culture, and the chance to contribute to a team that is making a tangible impact. For more information on Gismart, visit gismart.com http://gismart.com. About project FitMe is a fitness app created for people who want to stay active without long, repetitive workouts. It offers short, easy-to-follow routines that can be done at home with no equipment. FitMe is perfect for busy people who want to maintain their health, boost energy levels, and feel good every day — without going to the gym or spending hours on exercise. What you will do: - Stakeholder support: ad-hoc validation of figures, investigation of discrepancies between dashboards, ensuring availability of the BI platform. - Development and support of ETL/ELT pipelines for analytical reports (cohort revenue, LTV, retention, KPI by creatives, post-purchase analytics). - Support for attribution models (Web↔Mobile mapping, multi-locale cost-cohort resolve, last-click vs raw events). - Integrations with external sources: Meta Marketing API, AppsFlyer, AppMetrica, Stripe, Tableau Server (TSC), Birch. - Data quality assurance: schema/freshness/volume checks, broken-snapshot detection, anti-bot-traffic filtering. - Performance optimization of queries and procedures in Redshift. - Collaboration with BI Team, Product / UA / Billing analysts. Key qualifications: - 1-2 years of commercial experience in data engineering / analytics engineering / BI development. - Experience with data warehouse, data lake and data lakehouse concepts. - Proven experience in designing, implementing and supporting ETL/ELT pipelines. - Experience with AWS, Amazon Redshift, Apache Airflow. - Advanced SQL, hands-on experience in designing production-level Python code. - Willingness to deal with business logic (subscription, monetization, attribution) — with team support. Would be a plus: - Experience with Infrastructure as Code (Terraform). - Experience with dbt, Apache Spark, Apache Iceberg - Experience with UA-attribution stack (AppsFlyer, AppMetrica, Adjust, SKAN, GA4) and UA cost APIs (Meta, Google Ads, TikTok, AppLovin). Employee Benefits: - Remote-First Culture: Our team is diverse and extensive, just like our product portfolio. We provide a flexible working schedule and let you work anywhere in the world, either remotely or in one of our corporate hubs. - Сoworking Compensation: We provide 100% compensation for coworking spaces in Ukraine (except Kyiv, where we have a cozy and autonomous hub) and 50% compensation for coworking spaces worldwide to make sure that everyone has a comfortable and inspiring workspace. - Free Office Lunches: We want you to stay fueled and focused, so we provide delicious free lunches for everyone working from our hubs. It’s one less thing for you to worry about during a productive workday. - Public Holidays Policy: Gismart observes public holidays based on the Ukrainian or Polish holiday calendars. Employees working in other locations are entitled to 12 public holidays per year. - 100% Sick Leave Compensation. - Mental and Physical Health: To help you stay happy and healthy, Gismart will partially cover your medical insurance, sports activities, therapy costs. - Personal Equipment Policy: Of course, we’ll provide you with all the equipment you need or cover the maintenance cost for your own tools. - Personal Learning and Development: We love to see you learn and grow, so Gismart will cover 70% of your professional development courses. We’ll also pay for 100% of corporate English courses. - Time-Off Policy: Every employee gets 18 working days of paid vacation and 3 personal days per year, with an extra day added for each year at Gismart. - Corporate Events: We are remote-first, but we love meeting up in person. Whenever possible, we organize corporate events and team-building activities across all Gismart hubs.

Location: Palo Alto, California About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com . Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles . We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care . That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: Business Insider named us an “enterprise startup to bet your career on” Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America Quartz ranked us the #1 best company for remote workers Responsibilities The Model Context Protocol (MCP) is rapidly becoming the standard for how AI agents connect to enterprise systems — and Workato is building the gateway, governance, and runtime layer that makes MCP safe and scalable for the largest enterprises in the world. We are looking for a Senior Product Manager to own critical pieces of our Enterprise MCP roadmap and help shape how thousands of customers expose their tools, data, and workflows to AI agents. You'll work at the intersection of API management, identity, and AI infrastructure. Your decisions will shape how AI agents authenticate, what they're allowed to do, and how enterprises observe and govern agent behavior across hundreds of MCP servers and millions of tool invocations. This is a builder role on a small, senior team. You'll write PRDs that go straight into engineering, run customer design partners, present to analysts, and partner with GTM to land enterprise deals. If you've been waiting for the right moment to go deep on agentic infrastructure with the API and gateway chops you've built — this is it. In this role, y ou will also be responsible to: MCP Gateway capabilities — Drive the roadmap for one or more pillars of our gateway: authentication and identity (OAuth, OIDC, DCR, M2M), policy enforcement, observability, or runtime performance. MCP server lifecycle — Define how MCP servers are designed, published, versioned, and governed across customer environments. Set quality bars and develop the frameworks (tiering, certification, server design best practices) that scale across the ecosystem. Enterprise readiness — Translate enterprise security, compliance, and audit requirements into shippable product. Work directly with CISO and platform teams at design-partner customers. Cross-functional leadership — Partner with engineering leads on architecture decisions, with GTM on positioning and enablement, and with analyst relations on category-defining narratives (Gartner, Forrester). Competitive and market intelligence — Maintain a sharp point of view on the MCP landscape — OSS projects, hyperscaler offerings, and competing platforms — and translate that into product bets and differentiation. Requirements Qualifications / Experience / Technical Skills 4–5 years of product management experience, with at least 2 years on API platforms, API gateways, integration platforms, or developer infrastructure. Deep technical fluency in API management and gateway architecture — you understand the difference between an API gateway, an ingress controller, and a service mesh, and can hold your own in design reviews on rate limiting, routing, policy enforcement, and observability. Working knowledge of OAuth 2.0, OIDC, and modern identity patterns (authorization code flow, client credentials, DCR, token exchange). You can read an RFC and tell engineering whether the proposed design is spec-compliant. Track record of shipping technical products to enterprise customers, including writing PRDs that engineers respect and running design partner programs. Strong written communication — you can move fluently between a CISO briefing, a developer-facing blog post, and a six-page strategy doc. Strongly Preferred Experience with AI Gateway, LLM proxy, or agent runtime products (e.g., LiteLLM, Portkey, Kong AI Gateway, or in-house equivalents). Bonus if you've thought hard about prompt injection, tool poisoning, or agent identity. Hands-on familiarity with MCP as a spec — you've built an MCP server, integrated one, or have strong opinions about transports, resources vs. tools, and elicitation. Nice to Haves Prior experience at an iPaaS, API management vendor, or AI infrastructure company. Analyst relations experience (Gartner MQ, Forrester Wave). Conference speaking or technical writing presence in the API or AI infra communities. (REQ ID: 2925)

Location: Tel Aviv-Yafo, Tel Aviv District, Israel About Aidoc Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year. Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions. Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need. About this role The Aidoc Clinical Value team plays a pivotal role in evaluating the outputs and performance of Aidoc's products to demonstrate the value delivered to customers in real-world clinical and operational settings. We are looking for an experienced Analytics Engineer to join our Clinical Value team and develop the data foundations, infrastructure, and analytical tools that enable our work. This hybrid role combines Analytics Engineering with hands-on data analysis. You will translate complex analytical and clinical needs into scalable, reliable, and reusable data solutions. You will design data models, pipelines, analytical layers, and tools that enable complex Clinical Value studies across products and customers, while remaining hands-on with selected analytical projects. You are expected to be independent, proactive, and impact-oriented, taking end-to-end ownership of technical challenges and opportunities for improvement. evaluation. Responsibilities Design, build, and maintain the data infrastructure supporting Clinical Value analyses , including reusable data models, pipelines, analytical layers, and tools. Own the technical and analytical implementation of complex Clinical Value applications , adapting established methodologies to different products, customers, and real-world data environments. Develop complex analytical solutions into reusable and scalable frameworks , enabling broader and more efficient execution across the team. Identify data-quality issues, technical bottlenecks, and repetitive processes, and develop solutions and automation to improve reliability and efficiency. Work closely with analysts, Data Engineering, and other technical teams to translate analytical needs into effective, maintainable data solutions and establish best practices. Lead selected hands-on data-analysis projects , analyzing complex clinical and operational datasets to generate credible, actionable conclusions. Collaborate with Go-to-Market teams, including Customer Success, to understand customer needs and support impactful customer-facing value demonstrations. Requirements Education & Experience: B.Sc. or higher in a Scientific or Engineering discipline with 5+ years of experience in Analytics Engineering, Data Engineering, or a technical analytics role . Core Technical Stack: Advanced Python and SQL skills; hands-on experience designing and building production data models, pipelines, and analytical layers. Tools & Platforms: Experience with orchestration/transformation tools (DBT, Airflow, or similar) and cloud data platforms (Databricks, Snowflake, BigQuery, or AWS). Engineering Standards: Strong understanding of data modeling, data quality, testing, and maintainability best practices. AI Tooling & Automation: Hands-on experience integrating AI development tools and agents (e.g., Cursor, Claude agents, GitHub Copilot) into daily workflows to accelerate coding, debugging, and pipeline development. Data Analysis Capabilities: Strong analytical mindset with the ability to independently explore and analyze complex datasets, summarize findings, and extract meaningful insights as needed. Problem-Solving & Communication: Demonstrated ability to work independently, manage tight timelines, and translate ambiguous analytical needs into robust technical frameworks. Excellent communication skills for bridging technical and non-technical stakeholders. Nice to have Prior experience or a strong passion for healthcare, AI, or the medical field. Proven experience in project management or technical team leadership. Working at Aidoc Our Perks: Be part of something big - using cutting-edge technologies to transform the Healthcare industry (while saving patients’ lives) We work in a hybrid model, with our new offices located at 34 HaMasger Street in Tel Aviv and parking for employees. Amazing and healthy breakfasts and lunches prepared daily by our personal chef! Stocked up kitchen & meal card Wellness: Aidoc employees-only gym, plus Pilates, Yoga, and functional workouts classes. Amazing culture - collaborative, transparent & fun! Attractive compensation package & benefits Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.

Location: United States; Canada; Chicago; Seattle; Atlanta; New York; Boston; San Francisco Workplace: Remote As Director of Product Management, you'll define the multi-year strategy for the ClickHouse Cloud platform. You'll lead the product direction for foundational cloud capabilities such as multi-region replication, distributed query execution, fault tolerance, disaster recovery, storage architecture, and release management working closely with Engineering leadership to ensure ClickHouse Cloud continues to scale with the needs of our customers. YOU WILL - Define the multi-year product strategy and roadmap for ClickHouse Cloud, covering cloud-native database capabilities including multi-region replication, distributed query execution, fault tolerance, storage tiering, schema evolution, and disaster recovery. - Partner closely with Engineering leadership to prioritize investments across the core database engine, storage layer, and query execution framework, ensuring Cloud evolves alongside our open-source platform while meeting enterprise customer needs. - Coach and mentor Product Managers across adjacent platform areas, helping drive prioritization, resolve cross-team dependencies, and maintain a cohesive platform strategy. - Partner with Design, Engineering, Sales, Marketing, Support, and Customer Success to deliver compelling product launches and customer experiences. - Balance long-term platform investments with near-term customer commitments and business priorities. - Partner with Engineering leadership to make informed investment and resourcing decisions across the platform roadmap. - Serve as a trusted advisor to executives and cross-functional partners, providing clear visibility into product strategy, execution, risks, and trade-offs. - Represent ClickHouse with strategic customers, partners, and at industry events, translating customer needs into long-term product direction. YOU BRING - 10+ years of Product Management experience, including significant experience defining strategy for cloud infrastructure, enterprise SaaS, developer platforms, or database products. - Demonstrated ability to influence product direction across multiple engineering teams and drive large cross-functional initiatives. - Strong understanding of distributed systems, cloud-native architectures, and modern data infrastructure. - Comfortable working at both strategic and technical levels, partnering closely with senior engineering leaders on architectural decisions. - Excellent written and verbal communication skills, with the ability to communicate effectively with engineers, executives, customers, and external audiences. TECHNICAL EXPERIENCE - Strong understanding of SQL, query execution, indexing, partitioning, and database performance optimization. - Experience working with databases such as ClickHouse, PostgreSQL, MySQL, Snowflake, BigQuery, Redshift, or other distributed or analytical database systems. - Familiarity with modern data infrastructure, including data lakes, ETL pipelines, CDC, orchestration platforms, and cloud-native data architectures. - Ability to discuss technical concepts such as schema management, query planning, storage engines, replication, consistency models, backup and recovery, and distributed systems design with engineering teams. - Experience shipping or contributing to complex infrastructure capabilities such as replication, disaster recovery, storage systems, consistency models, or backup and restore workflows. LEADERSHIP EXPERIENCE - Proven ability to influence cross-functional stakeholders without direct authority. - Experience representing products with customers, analysts, or at industry conferences. - Track record of coaching, mentoring, or guiding Product Managers, either formally or informally. BONUS - Experience working on or contributing to open-source projects. - Experience in high-growth startup environments. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Boston Workplace: onsite Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users,  agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in  Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100  countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.  We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.  In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who we're looking for: AI Consultant to join our Boston office and help enterprises identify, design, and launch high-value AI agents with measurable outcomes. Sitting at the intersection of business consulting, AI strategy, and solution design, you'll be a trusted advisor to our customers — driving their AI strategies, creating AI adoption roadmaps, and designing AI agent concepts and specifications. You'll collaborate cross-functionally with AI engineers, product, solution engineering, sales, and customer success teams to ensure agents are deployed, scaled, and delivering high ROI to our customers' businesses. Responsibilities: Collaborate with customers to develop AI adoption roadmaps and identify potential opportunities for AI use cases. Gain a deep understanding of each customer's domain and business processes to prioritize the most impactful AI use cases, based on business impact and technical feasibility. Translate business problems and opportunities into solution concepts, requirements, and implementation proposals, with success metrics and guardrails. Design AI agent solutions and redesign workflows around them — removing repetitive work, unlocking new possibilities. Define how AI agents integrate with enterprise systems — CRM, ERP, SaaS applications, APIs, MCPs, workflows. Prepare agent specifications and solution documentation that enable delivery teams to implement successfully. Collaborate with Sales, Customer Success, Product, and Delivery teams across pre-sales, implementation, and adoption. Support customer presentations and executive discussions around AI strategy. Stay up to date with emerging AI technologies, agentic AI trends, and industry best practices. Requirements: Strong skills in business analysis, process design, value mapping, and discovery. Familiarity with modern LLMs, AI agent architecture, and business process automation; comfort with APIs and integrations. Experience in Solution Consulting, AI Consulting, Solution Implementation, Business Consulting, or a similar customer-facing role. Hands-on experience designing or launching AI-powered solutions or AI agents. Experience translating business requirements into solution designs. Experience working with enterprise customers and multiple stakeholders. Excellent executive communication and presentation skills. Strong analytical and systems thinking. Excellent spoken and written English. What to expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: Mexico City Workplace: onsite Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users,  agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in  Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100  countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.  We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.  In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture. Who we're looking for: AI Consultant to join our Mexico City office and help enterprises identify, design, and launch high-value AI agents with measurable outcomes. Sitting at the intersection of business consulting, AI strategy, and solution design, you'll be a trusted advisor to our customers — driving their AI strategies, creating AI adoption roadmaps, and designing AI agent concepts and specifications. You'll collaborate cross-functionally with AI engineers, product, solution engineering, sales, and customer success teams to ensure agents are deployed, scaled, and delivering high ROI to our customers' businesses. Responsibilities: Collaborate with customers to develop AI adoption roadmaps and identify potential opportunities for AI use cases. Gain a deep understanding of each customer's domain and business processes to prioritize the most impactful AI use cases, based on business impact and technical feasibility. Translate business problems and opportunities into solution concepts, requirements, and implementation proposals, with success metrics and guardrails. Design AI agent solutions and redesign workflows around them — removing repetitive work, unlocking new possibilities. Define how AI agents integrate with enterprise systems — CRM, ERP, SaaS applications, APIs, MCPs, workflows. Prepare agent specifications and solution documentation that enable delivery teams to implement successfully. Collaborate with Sales, Customer Success, Product, and Delivery teams across pre-sales, implementation, and adoption. Support customer presentations and executive discussions around AI strategy. Stay up to date with emerging AI technologies, agentic AI trends, and industry best practices. Requirements: Strong skills in business analysis, process design, value mapping, and discovery. Familiarity with modern LLMs, AI agent architecture, and business process automation; comfort with APIs and integrations. Experience in Solution Consulting, AI Consulting, Solution Implementation, Business Consulting, or a similar customer-facing role. Hands-on experience designing or launching AI-powered solutions or AI agents. Experience translating business requirements into solution designs. Experience working with enterprise customers and multiple stakeholders. Excellent executive communication and presentation skills. Strong analytical and systems thinking. Excellent spoken and written English. What to expect from us: Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential. Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally. Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one. Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve. Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.

Location: London; Remote (UK) 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London or Remote (UK)  | 💰 £125,400 - £169,600 + Incentive Awards tied to your performance + Benefits About us: 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ Hear from our UK team about what it's like working at Monzo ✨ About the team: Our Borrowing (lending) business is growing rapidly across both our existing products and the planned launch of new initiatives. We aim to create a genuine feel-good factor when it comes to personal credit, and we’re looking for driven, analytical and creative individuals to help us achieve this goal. We’re great believers in powerful, real-time analytics and empowering the wider business. All our data lives in one place and is easy to use. Over 90% of day-to-day data-driven decisions are supported through self-serve analytics in Looker, giving analysts the headspace to focus on solving high-impact business problems. Our Credit Platform squad builds the shared infrastructure that powers lending decisioning across Monzo. We develop the core credit valuation (NPV) infrastructure, decisioning capabilities and data foundations that enable our Product Credit teams to develop, evaluate and deploy lending strategies across products and markets. As we scale internationally, our platform is at the heart of delivering consistent, scalable credit capabilities globally. You'll lead a team of five Credit Analysts, shaping the evolution of our platform, pushing the boundaries to unlock the next generation of lending capabilities and drive efficiencies. Join a team where your ideas can rapidly transform into reality, leveraging our cutting-edge technology and agile ways of working. Credit Platform is a cross-functional squad bringing together Credit, Product, Engineering and Data expertise to build shared capabilities that power Borrowing across Monzo. How you’ll contribute: Shape our Credit Platform: Define the roadmap for Monzo's Credit Platform, evolving the shared infrastructure that enables Product Credit teams to develop, evaluate and deploy lending strategies across our retail and business lending products in the UK and new global markets. Build Credit Valuation Infrastructure: Lead the evolution of the infrastructure that supports Monzo's credit valuation capabilities, including our NPV modelling framework, ensuring it is scalable, reliable and enables Product Credit teams to optimise lending economics. Lead and Develop a High-Performing Team: Hire, coach and develop a high-performing team of Credit Analysts, fostering a culture of technical excellence, ownership and continuous improvement while delivering platform capabilities with broad organisational impact. Partner Across Monzo: Work closely with Credit, Engineering, Product, Machine Learning, Data and Risk teams to build platform capabilities that accelerate experimentation, simplify strategy deployment and improve the speed and quality of credit decisioning. Influence Through Technical Leadership: Represent the Credit Platform across Monzo, translating complex technical concepts into clear recommendations for senior leaders and helping shape the future direction of our lending platform. You should apply if: What we’re doing here at Monzo excites you! You are a technical and strategic credit leader with extensive experience in unsecured lending. You understand lending economics inside out , with deep experience in NPV modelling and the infrastructure and frameworks that enable effective credit decisioning You are highly motivated by fast-paced environments , enjoy ambiguity, designing frameworks from scratch, and delivering meaningful change. You are an exceptional cross-functional leader who thrives when partnering with Engineering, Product, Risk, Machine Learning and Credit teams to deliver shared platform capabilities. You have a track record of leading and developing analytical talent , and you are excited by the prospect of leading a high-impact team. You have strong analytical and data capabilities backed up by technical coding skills (SQL is a must-have; Python and Looker experience is a plus). The Interview Process: Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! Recruiter call Initial call with the hiring manager Final loop of interviews meeting key stakeholders Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com What’s in it for you: ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚Learning budget of £1,000 a year for books, training courses and conferences ➕And much more, see our full list of benefits here Equal Opportunity Statement We are actively creating an equitable environment for every Monzonaut to thrive. Diversity and inclusion are a priority for us and we are making sure we have lots of support for all of our people to grow at Monzo. At Monzo, embracing diversity in all of its forms and fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2021 Diversity and Inclusion Report and 2022 Gender Pay Gap Report. We're an equal opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status. #LI-COD #LI-REMOTE Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Location: Warsaw The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call. As a Senior Analytical Engineer, you sit at the intersection of Data Engineering, Analytics, and Data Science, and you own the data foundations for a business domain end to end. Your mandate is to turn raw data into reliable, business-ready datasets that PMs, analysts, data scientists, and leaders actually trust and use — and to define the business logic and metric standards that make AI-powered self-serve trustworthy. You consume governed Silver tables and produce the Gold layer and semantic layer beneath Asana's most important metrics, dashboards, and Genie spaces. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday, with the option to work from home on Wednesdays and, depending on the work and the teams you partner with, on Fridays. If you're interviewing for this role, your recruiter will share more about the in-office expectations. What you'll achieve: Own the Gold layer for a given business domain (e.g. PLG funnel, marketing attribution, revenue, NPI/AWM): Design and continuously improve the curated, dimensional data models that downstream dashboards, Genie spaces, and ELT reporting depend on. Implement the canonical business logic behind your domain's core KPIs: Translate KPIs into governed, versioned metric marts that resolve "this number doesn't match" disputes for good. Build and curate the semantic layer and Genie spaces that power self-serve in your domain: Author the metadata, documentation, and prompt/metric definitions that let stakeholders query governed data in plain language through Claude and Databricks Genie. Own the metric dictionary for your domain: a single source of truth for what each metric means, who owns it, and where to find it. Partner with peers across DS&A to keep KPI definitions consistent where domains overlap. Author data contracts and SLAs at the Silver→Gold boundary, partnering with Horizontal Data Engineering on the inputs you depend on, and owning data quality, freshness, and oncall for Gold/metric-mart failures in your domain. Build and maintain certified, board-ready dashboards on governed Gold data, partnering with Data Science to translate insight requirements into trusted, reusable products rather than one-off builds. Partner directly with Product & Business, Data Science, and Engineering to turn ambiguous, underspecified questions into scalable datasets — anticipating downstream reporting impacts before they become incidents, and raising the data-model quality bar across the domains you touch. About you: 4+ years in analytics engineering, data engineering, or a closely related analytics role, with a track record of independently owning the data models a team relies on for decisions. Advanced SQL and strong data modeling fundamentals: dimensional modeling, star/snowflake schemas, slowly changing dimensions, and semantic layer design. Hands-on experience with a transformation framework (dbt or equivalent), orchestration tooling (e.g. Airflow), version control (Git), and modern warehouse/lakehouse platforms (Databricks experience preferred). Practical experience with data quality testing and observability, schema management and data contracts, and query/model performance and cost tuning. Demonstrated domain fluency in at least one business area (e.g. PLG funnels, SLG pipeline, marketing attribution, Product telemetry, revenue/ARR) and the judgment to translate "I don't trust this number" into a specific, durable model fix. Strong cross-functional partnership skills: requirement gathering, prioritization, documentation and enablement, driving alignment on metric definitions, and explaining technical tradeoffs to non-technical partners. Curiosity about AI-native analytics — NL2SQL, metadata/semantic layers for self-serve, and using tools like Claude and Genie to multiply your reach rather than replace rigor. Exposure to Unity Catalog, Looker/LookML, or reverse-ETL/activation (Salesforce, Marketo, Gainsight) is a plus. We know that the best ideas and solutions come from multi-dimensional teams. That's because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don't be shy - apply today. At Asana , we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Generous, transparent and fair compensation system (base salary and RSUs) Contract of Employment (and the option of 50% tax deductible costs for author’s rights usage in respect of applicable roles ) Health insurance with dental and travel coverage (Lux Med) Breakfast and lunch catering on the days that you work from the office Vacation allowance Career growth budget Home office setup budget Gym/Fitness card Fertility healthcare and family-forming support with Carrot Mental Health Support in Modern Health Group life insurance MacBooks with all necessary accessories For this role, the estimated base salary range is between 20,833 - 23,700 PLN gross per month (subject to all taxes and necessary deductions). The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity and sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana ’s Talent Network to stay up to date on job opportunities and life at Asana . About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Remote (Germany) Workplace: remote ELEKS Product Design Office is looking for a Middle/Senior UX Designer in Poland, Croatia and Germany. Our customer is a major German university hospital. The role focuses on designing and continuously evolving the user experience across complex public-facing and internal web applications. REQUIREMENTS 6+ years of professional experience in UX/UI design Strong expertise in design systems and complex digital platforms C1-level German and excellent command of English Proven experience working in agile, interdisciplinary teams and projects Willingness to attend approximately 10 on-site meetings in Magdeburg throughout the project Experience in healthcare, public sector, education, CMS platforms (Drupal, TYPO3, Sitecore, AEM), and the implementation of accessibility standards is a strong advantage Strong experience in user research, user-centered design, information architecture, interaction design, and usability Proven ability to create user journeys, wireframes, user flows, clickable prototypes, and detailed design specifications Excellent practical knowledge of Figma and FigJam Practical experience with Miro or comparable collaborative workshop tools Strong expertise in responsive and mobile-first design approaches Experience conducting design reviews and ensuring implementation quality Reliable availability during agreed CET/CEST core business hours RESPONSIBILITIES Analyze and optimize user journeys for different internal and external target groups Develop and continuously improve information architecture, navigation, and user guidance Plan and conduct user research, interviews, stakeholder workshops, and usability tests Create wireframes, clickable prototypes, user flows, and detailed design specifications Derive functional and technical design requirements from the style guide and approved Figma mock-ups provided under Lot 1 Define and maintain design tokens, breakpoints, grid systems, and layout rules Build and evolve a version-controlled design system Design reusable templates, page types, modules, and components Develop responsive and mobile-first designs Define all relevant component and interaction states Ensure a consistent visual experience across both the website and intranet Consider long labels, varying content volumes, and multilingual content. Ensure compliance with WCAG 2.1 AA, BITV 2.0, and EN 301 549 requirements Design accessible navigation, forms, controls, and interactive components Conduct design reviews and verify implemented interfaces against approved designs Collaborate closely with business analysts, frontend and backend developers, quality assurance, content editors, and project management Document design decisions and provide implementation-ready specifications to the development team Participate in required on-site meetings in Magdeburg

Location: Los Angeles, USA Riot’s Data Engineers harness petabytes of data and state-of-the-art processing technologies to build products that elevate the player experience at massive scale. Turning this data into meaningful insights is a complex challenge, and our engineers meet it by staying deeply player-focused and collaborating across diverse teams to improve the lives of millions of players worldwide. As a Principal Data Engineer supporting Riot’s Central Product Insights, you will design, build, and maintain scalable data pipelines and models that power critical data products, including centralized player data models, and publishing activity data systems. These systems support understanding of player onboarding funnels, engagement patterns, support efficiency, and content effectiveness. You will collaborate with product managers, analysts, and engineers to ensure our data infrastructure is reliable, performant, and directly tied to delivering better player experiences. Responsibilities: Design, build, and optimize scalable ETL pipelines for structured and semi-structured data supporting Insights use cases, growth metrics, and other publishing/marketing focused data sets. Design and implement data models using industry best practices that capture a complete ecosystem view of in- and out-of-game experiences, while ensuring accuracy, scalability, and long-term usability. Architect and implement robust, maintainable, and high-performance data solutions. Automate workflows to reduce manual intervention and enhance data processing efficiency, including automation for content, growth, and pubsports areas of coverage. Mentor data engineers across all levels, setting best practices and fostering technical growth. Optimize query performance and resolve pipeline bottlenecks to improve data accessibility. Evaluate and adopt new tools, frameworks, and methodologies to advance data engineering capabilities. Support cost optimization by ensuring scalable and efficient data solutions. Ensure data quality, governance, and compliance with regulatory standards (e.g., GDPR, CCPA). Contribute to Riot’s Data Engineering discipline shaping infrastructure, craft standards, tooling, and organizational best practices Required Qualifications: Bachelor's or Master’s degree in Computer Science, Information Systems, Engineering, or a related field. 8+ years experience in tech-focused Publishing or Marketing fields. 8+ years experience in data engineering or a related field. Strong Expertise in big-data technologies, including Python, GoLang, Spark, Scala, SQL, and tools like Airflow and dbt. Proficiency in cloud infrastructure (AWS or GCP) and Databricks. Expertise in designing efficient and scalable data models with large data sets across multiple teams and in collaboration with insights or data stakeholders. Demonstrated ability to work cross-functionally with engineering, analytics, and product teams. Proven experience mentoring and guiding other engineers. Desired Qualifications: Experience in gaming, large consumer platforms, or systems leading data modernization or transformation initiatives in a complex environment Track record improving data maturity ( e.g. SLI’s/SLO governance, reliability standards) Experience designing semantic layers or standardized business metric frameworks Background supporting advanced analytics use cases in high velocity product environments Demonstrated ability to influence standards across teams in a matrixed organization For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Sr. Analytics Engineer, R&D. About the job This position is needed to advance the consistency & quality of our R&D analytics data layer and accelerate the development velocity of analysts. Our Data Science and Analytics team seeks to empower R&D to make data-backed decisions that accelerate innovation and improve product performance. You will work closely within our team and across Product & Engineering to design and maintain a robust analytics data layer that enables trusted reporting on R&D metrics. Responsibilities In this role, you’ll: Design and implement a formal analytics data layer using AWS Glue, Athena / Presto, and LookML Collaborate within the Data Science & Analytics team and across Product & Engineering to define, document, and maintain alignment on metric definition and data lineage Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards Lead investigations into complex data anomalies, conduct root cause analysis, and communicate findings and solutions effectively to both technical and non-technical audiences Mentor and guide members of the data science and analytics team, establishing and enforcing best practices around data modeling, testing, documentation, and code review Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 4-5 years of professional experience in analytics engineering, data engineering, or a related discipline Strong expertise in SQL and hands-on experience designing data models and orchestrating data pipelines using AWS Glue or similar technologies Demonstrated ability to partner with cross-functional stakeholders to codify, document, and reconcile critical business metrics, ensuring company-wide data alignment Proven track record of owning ambiguous projects from beginning to end with minimal guidance Strong technical communication and mentorship skills, with the ability to convey complex concepts to a range of audiences Desired: 5+ years of professional experience in analytics engineering, data engineering, business intelligence, or a related discipline–ideally in a B2B SaaS environment Expertise in Python; distributed computing technologies like Hive, Presto, and Spark; and dashboarding tools like Looker or Tableau Proven track record of implementing robust data quality and testing frameworks, including expertise with dbt tests, CI/CD, and data observability Experience evangelizing and establishing data culture and best practices within a fast-paced technology organization Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $141,520.00 -- $176,900.00 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $149,840.00 - $187,300.00. Based in the San Francisco Bay area, California: $166,400.00 - $208,000.00 This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 8/10/2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: United Kingdom, London Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Role Overview: As a Data Scientist, you will help measure the impact of PlayStation's products, features and commercial initiatives through experimentation, causal inference and applied data science. Working at the intersection of data science, machine learning, product and commercial strategy, you will apply robust analytical techniques to solve complex business problems, generate actionable insights and support evidence-based decision-making across PlayStation. This role goes beyond traditional A/B testing. You will apply modern causal inference, statistical modelling and machine learning techniques to evaluate initiatives where controlled experiments are difficult or impossible, collaborating closely with product, engineering, analytics and business teams to deliver high-quality measurement and insights. This is an opportunity to work on high-impact initiatives affecting millions of PlayStation players while developing your expertise in experimentation, causal inference and applied data science. What You'll Be Doing: Apply measurement methodologies across experimentation, causal inference and advanced analytics to evaluate product and commercial initiatives. Design and execute robust measurement approaches across randomised experiments, quasi-experimental methods and observational causal inference where controlled experimentation is impractical. Apply statistical, machine learning and AI techniques to solve complex measurement challenges and generate actionable business insights. Apply advanced data science and machine learning techniques where appropriate to complement experimentation and support complex business decisions. Contribute to the development and adoption of best practices for experiment design, statistical analysis and causal measurement. Partner closely with product managers, engineers, analysts and business stakeholders to identify high-impact measurement opportunities and ensure product and commercial decisions are supported by rigorous evidence. Collaborate with engineering teams by providing feedback on experimentation and measurement capabilities to improve tooling and workflows. Develop reusable analytical solutions, dashboards and code that improve the quality, consistency and efficiency of measurement. Communicate analytical findings and recommendations clearly to technical and non-technical stakeholders. Stay current with emerging developments in statistics, machine learning and AI, identifying opportunities to improve measurement capabilities and analytical workflows. Contribute to a culture of evidence-based decision-making by sharing knowledge, collaborating across teams and promoting analytical best practices. What We're Looking For: Required: Master's degree (or equivalent industry experience) in Statistics, Economics, Mathematics, Computer Science, Data Science or another quantitative discipline. PhD preferred. 3+ years of industry experience applying experimentation, causal inference, statistical modelling, machine learning or related analytical techniques to solve business problems. Good understanding of experimental design, A/B testing and modern causal inference methods, including quasi-experimental approaches. Experience applying data science, machine learning and statistical modelling techniques to analyse complex datasets and generate actionable insights. Strong proficiency in Python and SQL for analytical workflows. Experience developing robust analytical solutions using sound statistical principles and software engineering best practices. Strong stakeholder management and communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences. Curiosity, creativity and a pragmatic approach to solving ambiguous business problems. A collaborative mindset with a passion for continuous learning and improving analytical capabilities. Preferred: Experience working in gaming, digital products, consumer technology, e-commerce or subscription businesses. Familiarity with modern data engineering and analytics tooling such as Databricks, Snowflake, Git and Airflow. Experience with modern business intelligence and data visualisation tools such as Tableau, Domo or Power BI. Experience applying AI tools, including large language models (LLMs), to improve data science workflows and analytical productivity. Experience developing reusable analytical frameworks, libraries or internal tooling. Experience presenting analytical findings and recommendations to cross-functional stakeholders. What You'll Influence: Measurement for PlayStation's product and commercial initiatives. High-quality experimentation and causal inference across product and business teams. Product and commercial decisions through rigorous analytical evidence. The continued evolution of PlayStation's measurement and experimentation capabilities. Why You'll Love This Role: Help shape how PlayStation measures product and commercial success across a global business. Work on challenging real-world problems using experimentation, causal inference and machine learning. Collaborate with talented scientists, engineers and product teams on high-impact initiatives. Learn from experienced data scientists while developing your expertise in modern measurement and experimentation. Contribute to the adoption of evidence-based decision-making across PlayStation. Continue growing your technical and business skills in a collaborative, supportive environment. Benefits: Discretionary bonus opportunity Hybrid Working (FlexModes) Private Medical Insurance Dental Scheme 25 days annual leave On-site gym Subsidised café Complimentary soft drinks On-site bar Secure cycle storage and shower facilities Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Singapore Office Workplace: Hybrid Operating beyond the scope of conventional services or solutions engineering, Deployment Strategists function as embedded technical advisors. You will manage the entire spectrum of customer outcome, initiating with deep discovery and investigative work and culminating in the design, integration, and long-term empowerment of the user. This position exists at the nexus of analytical rigor, specialized domain knowledge, and strategic customer partnership. You will engage directly with clients to internalize their operational goals, developing bespoke workflows that allow organizations to leverage Chainalysis independently. Your impact hinges on robust investigative instincts, technical proficiency, and the capacity to cultivate trust through hands-on expertise and field credibility. In this role, you’ll: - Own end-to-end customer engagements — from discovery through investigation, solution design, deployment, enablement, and ongoing value delivery - 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 - 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 team We’re looking for candidates who have: - Both spoken and written Mandarin fluency - 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 - 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 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.