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Location: Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role We run a large-scale GPU cloud and AI infrastructure platform. Fraud and abuse — stolen payment cards, fake sign-ups, compute mining, credential abuse, and coordinated free-tier exploitation — directly threaten platform economics, capacity availability for legitimate customers, and our standing with payment providers and cloud partners. As Product Manager, Anti-Fraud, you own the product roadmap for the systems that detect, prevent, and respond to fraud and abuse across the customer lifecycle — from onboarding and payment through to ongoing consumption. You sit at the intersection of Trust & Safety, Payments/Billing, Risk, Data Science, and Product Engineering, and you balance two goals in constant tension: stop bad actors and keep friction near zero for real customers. Your responsibilities will include: Own the end-to-end anti-fraud product roadmap: signup/KYC checks, payment fraud detection, account takeover protection, and compute-abuse (e.g., crypto mining, resource reselling) prevention. Own the rules and risk-scoring surfaces — the tooling that lets analysts and data scientists define, test, and deploy detection rules and ML models with clear guardrails and audit trails. Own the manual review and case-management experience for the Trust & Safety operations team, including queues, evidence views, and action workflows (block, limit, step-up verification, release). Own customer-facing friction points — verification flows, step-up challenges, and appeals — designed to minimize false positives and protect the legitimate user experience. Identify fraud and abuse incidents early — define the signals, alerts, and thresholds that surface incidents before they scale, and own the detection surface that flags them. Participate in incident reviews and post-mortems, capturing root causes and turning each finding into concrete improvements to detection rules, models, and the roadmap. Ensure timely response to active incidents — drive fast triage, clear ownership, and mitigation, working alongside Trust & Safety, Engineering, and Data Science to contain impact. Write clear PRDs and specs that translate fuzzy risk problems into shippable engineering and data-science work. Partner with Analytics team on detection models — defining the problem, labels, and success criteria, and deciding where rules vs. ML are the right tool. Run experiments and monitor rollouts, watching both fraud-catch metrics and false-positive / customer-friction impact. Work with Legal/Compliance to keep detection and enforcement aligned with payment-network rules, KYC/AML expectations, and data-privacy requirements. Track and report on fraud loss, chargeback rate, false-positive rate, review throughput, and time-to-detection. We expect you to have: Proven product management experience in fraud, risk, trust & safety, or payments. Strong analytical skills — comfortable with data, SQL or equivalent, and reasoning about precision/recall trade-offs and metrics. Ability to make decisions under ambiguity and to balance security, business, and customer-experience priorities. Solid collaboration with engineering and data science; you can hold a technical conversation about signals, features, and model behavior. Exposure to cloud, SaaS, marketplace, fintech, or infrastructure products. Understanding payment fraud, chargebacks, KYC/AML, or device/network signals (fingerprinting, velocity, IP reputation). It would be an added bonus if you have: Familiarity with ML-based detection systems and their operational lifecycle (drift, retraining, monitoring). Experience with abuse patterns specific to compute or GPU platforms (mining, credential stuffing, free-tier farming). Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Dubai Workplace: hybrid 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:The Delivery Success Executive (DSE) owns an assigned portfolio of customers and is accountable for both successful delivery and long-term commercial growth. The role combines portfolio management and delivery governance with deep product expertise and a clear commercial mandate: retention and expansion.As trusted advisors, DSEs use expert-level knowledge of the Creatio platform to validate approaches, guide best practices, and ensure every solution is aligned with customer needs, and delivering measurable business value.The role is based in Dubai.Responsibilities:Product ExpertiseServe as a product knowledge carrier for the assigned portfolio, demonstrating expert-level understanding of the Creatio platform and its ecosystem.Proactively advise customers and partners on optimal solution approaches and platform capabilities.Help customers achieve their desired business outcomes through strong product adoption, value realization, and high ROI.Portfolio & Project ManagementOwn an assigned portfolio of customers, overseeing their implementation projects and ongoing engagements.Monitor progress, risks, and dependencies across projects to ensure alignment with agreed standards and commitments.Delivery Governance & AssuranceEnforce delivery standards, methodologies, and reporting frameworks across the portfolio.Control and audit delivery processes, identifying early red flags to prevent delivery and launch-related issues.Conduct portfolio-level reviews to validate outcomes, quality, and readiness for go-live.Risk & Solution OversightWork closely with Delivery Assurance Architects to validate both technical and functional aspects of solutions.Identify risks across the portfolio and drive mitigation strategies.Knowledge & Best PracticesCapture lessons learned, integrate them into the Center of Delivery Excellence framework, and mentor team members and partners.Customer Success & Commercial GrowthDevelop a deep understanding of customers' business priorities and proactively identify opportunities to support their long-term success.Grow the customer portfolio through strong retention, zero churn, and active cross-sell and upsell.Collaborate closely with internal Sales, Delivery, Support, Product, and Partner teams to ensure a consistent customer experience.Customer & Partner EngagementAct as the key contact and trusted advisor for customer executives across the assigned portfolio, communicating effectively with stakeholders at every level, including C-level.Provide portfolio-level visibility and transparency through governance meetings and reporting.Requirements:Proven experience in program/portfolio management across multiple projects.3+ years in B2B Customer Success, Account Management, or Project Management with enterprise accounts.Proven track record of driving adoption and value realization, and supporting retention and account growth (renewals, cross-sell, upsell).Deep Creatio platform expertise (functional and technical) and knowledge of competing low-code/no-code platforms.Ability to conduct high-level solution estimations and guide teams in applying best practices.Strong client-facing and stakeholder management skills, including communication at CxO level.Ability to navigate complex customer organizations, coordinate multiple stakeholders, and drive issues to resolution.Structured thinking, flexibility, and strong result orientation.Fluent English (required); additional languages may be required based on geography.Nice to have: experience taking part in commercial negotiations and renewal discussions.  Ability to travel for customer meetings and onsite engagements as needed.What you should 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: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location - Bengaluru, India About the team The Data Intelligence & Analytics organization builds the core data platform and internal products that power decision-making across the company. We design and operate large-scale data systems, own the company’s data lake, ingestion infrastructure, and platform tooling, and develop end-to-end applications that transform complex datasets into fast, reliable, business-critical products used daily by go-to-market, product, and engineering teams. Our work sits at the intersection of data platforms, distributed systems, and product development, giving engineers the opportunity to own meaningful problems across the stack and build systems that truly run the business. About the role We are looking for an experienced data scientist to join our Bangalore team and help scale the next generation of our AI/ML models. In this role, you will train predictive models and the workflows behind AI-driven applications, Agents, Chatbots that power teams across the company, including go-to-market, engineering, and product. Because the products we build are initiated and owned by the team, you will be involved end-to-end — from shaping requirements and designing systems to implementation, deployment, and long-term ownership. You will focus on building scalable, reliable AI/ML models, services and GenAI powered application backends,  partnering closely with data and full-stack engineers to deliver new features and operate the pipelines and platforms behind our products. Our stack spans multiple languages and technologies, including Python, React, and TypeScript, and continues to evolve. Many of our applications also incorporate strong AI components, giving you opportunities to work with modern AI infrastructure and tools such as vector databases, MCP-based services, and Workers AI. What you'll do Partner and align with business leaders, stakeholders, product managers and internal teams to understand the business and product challenges and goals and address them using predictive analytics in a globally distributed environment. Understand data landscape i.e tooling, tech stack, source systems etc. and work closely with the data engineering team to improve the data collection and quality. Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals. Strong audience focused presentation and storytelling skills focused on key takeaways in a crisp and concise manner. Define, implement, and train statistical, machine learning, deep learning and generative AI models. Use software engineering best practices to publish model scores/insights/learnings at scale within the company. Ability to define and spot macro and micro levels trends with statistical significance on a regular basis and understand key drivers driving those trends. Active role in hiring, growing, and mentoring the data scientist team in Bengaluru. Examples of desirable skills, knowledge and experience Bachelors or M.S in Computer Science, Statistics, Mathematics, or other quantitative fields. 5+ years of data scientist experience with proven industry experience in a large scale environment (PBs scale & globally distributed teams). fast-growing SaaS business based company is preferred. Strong experience working with business functions such as Finance, Sales, and Marketing to build models and drive impactful business outcomes (eg: customer and revenue growth) Strong experience in scientific computing using Python Experience with Spark, SQL, Tableau, Google Analytics, BigQuery (or any other Big data/Cloud equivalent) etc. Experience working with and processing structured, unstructured, and semi-structured data. Strong cross-functional collaboration experience with data engineering and data analysts teams within the function. Proven track record of applying data insights and machine learning in order to address business needs and drive revenue. Proficiency in large language models and the frameworks (Langchain, Langgraph, etc.) necessary for implementing GenAI applications, such as AI Agents, chatbots and related use cases. Strong communication and presentation skills catered to different audiences within the company. Capable of working closely with business, engineering, and product teams to ensure data initiatives are aligned with business needs. Experience in hiring data scientists and establishing team best practices is preferred. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Предстоит: Участвовать в планировании и запуске A/B-тестов, уметь интерпретировать результаты; Работать в связке с Data Scientist, Data Analyst: собирать требования, формировать и декомпозировать задачи, синхронизировать команду по статусам;

— Участвовать в управлении ML-продуктами: анализировать технические и продуктовые метрики, предлагать гипотезы, искать точки роста. — Участвовать в планировании и запуске A/B-тестов, уметь интерпретировать результаты.

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: As an AI Solution Engineer, you will play a critical role in ensuring our AI solutions optimal performance, reliability, and continuous improvement. You will be responsible for monitoring the performance of AI models, detecting data drift, deploying AI modules, designing customized solutions, investigating issues, and developing tools to support data analysis. This role requires expertise in data science, system engineering,  analytics, statistical analysis, product and clinical understanding, and proficiency in Python and SQL. The ideal candidate holds a relevant degree, with a master's degree being an advantage, and possesses hands-on experience managing AI solutions in an operational production environment. Responsibilities: Deploying AI modules to production: Responsible for the deployment strategy of our AI Beta-Stage Products, design scalable deployment methodologies for new AI products being escalation Tier for complex module implementations. Collaborate with different stakeholders across the organization to make sure production requirements are addressed when new modules and products are developed. Maintain our AI solutions at top performance: Monitor the performance of AI solutions, ensuring they deliver accurate and reliable results using existing monitors. Implement mechanisms to monitor and detect data drift to ensure AI models remain effective over time. Design new monitoring solutions and metrics to address production issues, data drift, and performance degradation. Being a high-tier escalation point - investigate issues raised by our customers and identify root causes, recommend corrective actions, and implement solutions to prevent recurrence. Tool Development: Develop tools and scripts to support data analysts and ensure efficient data processing and analysis. Visualize data in informative and “to the point” visualizations. Automate tasks related to AI deployment, data validation, and reporting. Requirements: Bachelor's degree in a relevant field (Computer Science, Data Science, Engineering). A Master's degree is an advantage. At least 4 years of proven experience in data science, and data analytics in a professional setting. Familiarity with statistical analysis, machine learning concepts, and AI model evaluation. Strong proficiency in Python and SQL for data analysis, scripting, and automation. 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: CAN: Vancouver (333 Seymour St); AU: Melbourne: (260 Burwood Rd) Workplace: Hybrid The role and its impact As a Senior Engineer on the Enterprise Platforms team, you will provide technical expertise across the platforms, integrations, automations, and AI tools that support Xero’s global teams. You will help navigate complex technical challenges from planning through implementation, keeping systems secure, reliable, scalable, and easy to use. Serving as a trusted technical guide, you will offer practical advice on system changes, incidents, and continuous improvement. Working alongside your Platform Lead, you will improve technical standards, reduce system clutter, and build reusable solutions that make daily work smoother for everyone. The team and how they connect The Enterprise Platforms team partners closely with Product Managers, Analysts, Security, Architecture, and Operations to deliver sensible internal solutions. They look after Xero's core SaaS platforms, cloud services, and custom integrations, collaborating through configuration sessions, pair problem-solving, and shared learning. Together, the team focuses on streamlining workflows and maintaining operational excellence across internal technologies. Initially, you will focus on - Enhancing enterprise SaaS platforms, cloud services, and internal automation workflows using APIs and modern platform features. - Designing, developing, and supporting integrations, data migrations, and AI-enabled workflows to connect internal systems safely. - Investigating complex technical incidents, determining root causes, and applying lasting fixes to keep production systems stable. - Creating clear documentation, runbooks, policies, and reusable design patterns to support consistent platform management. Where and how you can work Xero offers a flexible hybrid working model designed to give you balance and connection. You will work from our modern office spaces, coming together with your team on designated boost days to collaborate, connect, and innovate, while enjoying the flexibility to work remotely for the remainder of the week. Here are some of the things we are looking for - A strong background in building, configuring, and supporting cloud services or enterprise SaaS platforms. - Practical experience creating integrations, automations, or system workflows using APIs, scripting, and modern tools. - Demonstrated ability to diagnose technical incidents, resolve root causes, and maintain reliable production environments. - Talent for translating business and user needs into clear, secure, and practical technical solutions. - Expertise in applying security guidelines, access controls, and change management principles within live systems. - Skill in mentoring team members, sharing technical knowledge, and communicating complex technical concepts clearly to diverse stakeholders. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Location: Brussels, Belgium We currently have a vacancy for an Operations Engineer fluent in English, to offer his/her services as an expert who will be based in Brussels, Belgium. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team. Your tasks: Architect and implement secure, interoperable solutions using standard frameworks and design patterns, integrating application and infrastructure to achieve scalability and efficiency; Develop robust, vendor-agnostic data platforms for AI and machine learning workloads, optimising multi-cloud environments for performance and flexibility. Design of structured MLOps pipelines automating and streamlining the models’ lifecycle, from development to serving; Design security architectures that protect infrastructure and applications, aligning with risk management strategies and regulatory data protection and security standards; Continuously assess and optimise system performance and scalability using advanced metrics and predictive analytics; Collaborate with cross-functional teams, including AI developers, business analysts, and IT operations, to ensure architecture aligns with business objectives and technological capabilities; Establish CI/CD pipelines to support rapid application development and deployment in dynamic environments, utilising infrastructure-as-code and configuration management tools; Ensure seamless system integration and cross-platform compatibility through strategic API design, interoperability testing, and continuous benchmarking. Requirements University degree in IT combined with relevant IT professional experience of at least 10 years; Expertise in containerisation and orchestration using Docker and Kubernetes for scalable application deployment; Expertise in network architecture design, particularly integrating distributed systems with hybrid cloud solutions and including management of network policies at cluster level; Significant experience with managing and optimising data-intensive distributed systems for processing, querying and storing; Comprehensive experience with relational and non-relational databases, optimising them for high-volume transaction processing (e.g., Oracle, PostgreSQL, OpenSearch, MongoDB) Proficiency with advanced monitoring tools like Prometheus and Grafana to enhance infrastructure monitoring and real-time alerting; Experience with advanced load balancing solutions and caching technologies (e.g. Redis) to support high-traffic applications; Knowledge of security and vulnerability scanning tools (e.g., OWASP, SonarQube), implementing secure coding practices including robust encryption and identity management; Profound knowledge of version control systems like Git and integration platforms such as Jenkins, GitLab CI; Proficiency in distributed streaming and message queue technologies such as Kafka and RabbitMQ to efficiently manage data flows and support scalable data processing architectures; Proficiency in using infrastructure-as-code like Terraform and AWS CloudFormation; Good knowledge of the GitOps framework and tools that follow its prescription to manage deployments and achieve the desired application state (e.g., ArgoCD); Familiarity with configuration management tools like Ansible for comprehensive system administration; Familiarity with AI-powered code assistants (e.g., Amazon Kiro, GitHub Copilot) for accelerating coding processes and enhancing developer productivity; Excellent command of the English language. Benefits If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major European Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: ( 158836/11/2026). We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential. You may also consider all our other open vacancies by visiting the career section of our web site ( www.eurodyn.com) and follow us on Twitter (@EURODYN_Careers) and LinkedIn. EUROPEAN DYNAMICS ( www.eurodyn.com ) is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 300 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes. As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. *Open to hiring remote across the US — we also have offices in NYC, San Francisco, and Seattle This is a rare PM role with true vertical ownership across the full product lifecycle, from early-stage research and pre-training through post-training, UX buildout, GTM strategy, and pricing. It gives the right person a GM-like mandate to drive product decisions end-to-end, in a way that’s unique for a company of our scale. We’re looking for a Product Manager to build the AI tools our customers will rely on. You have a real engineering or quantitative foundation and a track record of shipping products. You can take the state-of-the-art systems our research team builds and turn them into products that creators love. You’ll deeply understand what users want, what’s technically possible, and what’s strategic for our business. You’ll be the bridge between our users and our internal teams, so we ship our models and products with the most value for Runway’s creators. This role is a fundamental and critical part of the team at a market-defining company in its early stages. What you’ll do - Own the product strategy and roadmap for your area, from early model development through launch, pricing, and go-to-market - Partner with research to shape what gets built, translating customer needs and model capabilities into clear product requirements and priorities - Work closely with engineering and design to ship new products and continuously improve existing ones, making sound technical tradeoffs along the way - Define and analyze product metrics, run A/B tests, and use data (including your own SQL and Python analysis) to validate pain points and prioritize features - Talk with users weekly to uncover use cases and turn feedback into product decisions - Drive pricing and GTM strategy in partnership with business teams What you’ll need - 4+ years of product management experience, including taking products from zero to one - A strong technical foundation, typically demonstrated by things like the following: - A degree in a technical or quantitative field such as computer science, HCI, math, statistics, or physics - Professional experience writing code before the LLM codegen era (e.g., as a software engineer, data scientist, data analyst, or technical founder who built and bootstrapped a product) - Hands-on fluency with SQL, Python, AI code generation tools, and version control best practices - Working knowledge of current ML capabilities and products, and the ability to discuss tradeoffs with researchers and engineers - Experience in fast-moving teams, with comfort operating amid ambiguity - Excellent written and verbal communication skills Nice to have - Experience with generative AI, creative tools, or media products - Experience owning pricing or GTM for a product Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: New York, NY, USA About the role Chime Enterprise, the business-to-business division of Chime that partners with employers to provide workplace financial wellness benefits, is looking for a Director of Communications & Content to own the Chime Enterprise narrative. In this role, you will oversee external press, internal communications, executive visibility, and thought leadership, including the editorial, social, and creator programs that support Chime Enterprise. You’ll manage a small team of B2B content writers, as well as our PR agency of record. A core part of this role is making sure the story we tell the press, the story we tell through our own channels, and the story we tell through social and creator voices all work together. You’ll report directly to the Head of Marketing & Growth, Chime Enterprise, and partner closely with peers across Demand Generation, Creative, Internal Communications, and External Communications. In this role, you can expect to Set and execute our external communications strategy, including media relations, press strategy, and share-of-voice goals for the Enterprise business. Build and maintain relationships with tier-one and trade media, analysts, and industry influencers relevant to our category. Identify, develop, and place executive thought leadership, including bylines, speaking opportunities, podcasts, and media appearances. Serve as a strategic partner to company spokespeople. Manage our PR agency of record. Set the brief, hold the agency accountable to measurable outcomes, and determine when work is best handled internally or externally. Ensure consistency across press messaging, executive thought leadership, owned content, social, and creator programs so that each channel reinforces the same core narrative. Help drive internal communications for the Enterprise business. Ensure internal and external communications are coordinated and sequenced appropriately. Build and manage an HR and payroll analyst relations program that keeps key analysts informed and engaged, while partnering with them on larger programs when appropriate. Lead the Chime Enterprise executive thought leadership program, ensuring our executive voices are differentiated and support our commercial goals. Set the direction and quality bar for long-form and editorial content, including blogs, guides, ebooks, and other thought leadership. Oversee our organic social and influencer/creator programs. Work closely with cross-functional partners across Investor Relations, Government Affairs and Public Policy, Legal, and Compliance. What We’re Looking For 10+ years of experience in communications or PR, including at least 3 years in a people-management or agency-management role. A Player-coach: You can set the strategy, lead a team, and roll up your sleeves to get the work done. You’re always looking for ways to make the work better and the team more effective. Experience working in a high-growth startup environment and managing multiple priorities at once with urgency. Proficiency with AI tools and an ability to use them to improve the quality and speed of content development. A track record of securing meaningful press coverage and building executive visibility, ideally in B2B SaaS, fintech, HR tech, or another regulated industry. Experience turning first-party or third-party data into compelling stories that can earn tier-one media coverage. Experience managing an outside PR agency from the client side. Comfort serving as a strategic partner and occasional ghostwriter for senior executives. Experience working with content, social, or community teams. You do not need to have directly managed each of these functions, but you should understand how they work and be able to set a high bar for quality. Nice to Have Direct experience with creator or influencer programs as an earned-media channel. Experience supporting investor communications, including earnings announcements, and/or Government Affairs and public policy communications. Both in-house and agency-side experience. #LI-Onsite #LI-BE1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $202,000 — $280,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: Remote; Seattle, WA; London; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. WHY THIS MATTERS Runway is building AI to simulate the world. We think world models, not language models alone, are the path to general-purpose simulation: systems that experience the world, learn from their mistakes, and change how stories get told, how science gets done, and how the next frontiers of humanity are reached. Applied AI is where that research meets a customer with a deadline. Every one of the world's largest studios, brands, and platforms hits a moment where Runway stops being a demo and becomes the way they actually make things. Our team exists for that moment, and we organize around one question: what's blocking this customer from production, and how do we remove it? ABOUT THE ROLE This is a role for people who want to own a problem, not an account. You'll sit with the biggest studios, brands, and Fortune 100 companies in the world, figure out what's actually standing between them and production, and build whatever removes it. Some weeks that's a workflow. Some weeks it's a plugin or an integration nobody has written yet. Some weeks it's getting a room of executives to make a decision they've been putting off. Your work will be on screen: Emmy-winning shows, Oscar-winning films, Super Bowl commercials, the stuff people actually watch. And the things you build for one customer tend to become product for all of them. Our team's first Shopify plugin started as a customer blocker and was in engineering's hands within a few weeks. We treat this team as R&D for that reason, not as a cost center. We have offices in NYC, San Francisco, Seattle, and London. NO TWO WEEKS ARE THE SAME, BUT YOU CAN EXPECT TO: - Find the real problem: sit with the creative, technical, and executive teams at a customer, map how they actually work, and locate the blocker between them and production. Usually it's one of three things: a missing integration, an unproven pipeline, or a stakeholder who isn't convinced yet. - Build the first of its kind: the demo that shows a studio head or a Fortune 100 CMO something nobody has shown them before. Working proofs of concept on the customer's own brand, footage, or catalog, often built in a day or two before the meeting, and the best of them become product for everyone. - Make it reusable: turn the one-off that unblocked one customer into the workflow, plugin, or integration the next ten customers start from. - Run the evaluation: own evaluation plans end to end, guide managed trials, build tailored demos on the customer's own footage and brand, and carry the technical side of deal cycles with AEs. - Scope deployments that land: 4–12 week engagements with customer-defined success criteria, a hands-on builder and an executive sponsor on their side from day one, and enough discipline to keep them on scope when the asks start piling up. - Get customers to production fast: take new technical and non-technical customers from signed contract to first production call in days rather than quarters, grow API-only accounts into Platform + API, and fix the onboarding so the support tickets stop coming. - Present to anyone: walk an analyst through a pipeline in the morning and a studio head through a production plan in the afternoon. - Bring the field back to the product: embed with Product, Engineering, and Creative to turn what you saw at the customer into roadmap. Every repeat ask is a product requirement, not a patch. - Measure what the customer measures: time to production, usage before and after a project, what they shipped because you were there. We track our own numbers in Salesforce and the warehouse; you'll own yours. WHAT WE VALUE - People who aren't satisfied with surface-level answers and will go into the data, the code, and the room to find the real one - Low ego: the customer's outcome matters more than who gets the credit - Comfort with open-ended problems in unstructured environments, and the instinct to create structure instead of waiting for it - Builders who would rather prototype than debate, and who keep iterating with the customer until it actually works - Adaptive and introspective: willing to learn, guide, lead, and follow WHAT WE NEED - You build things that run in production. Python or TypeScript, APIs, integrations, and data pipelines. Whether you write the code yourself or with coding agents, you can read it, debug it when it breaks, and explain line by line why it's built that way, including to a customer's engineering team. You've shipped something a customer actually ran: a workflow, an integration, a plugin, or an internal tool. - You've deployed AI or ML systems and integrations inside complex organizations and can point to the outcome, not just the delivery - You can hold a room of executives and a room of engineers, and translate between the two. Some of those rooms are at the customer, so expect some travel. - Nice to have: data tooling (SQL, BigQuery, Retool), or experience in media, entertainment, or advertising production Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: United States At Reltio®, an SAP company, we believe data should fuel success in the enterprise AI era. Our context intelligence solution turns fragmented data into trusted, connected context so AI agents and systems can act with expert-level judgment at the scale of your business. Our open-by-design SaaS solution harmonizes, unifies, and enriches structured and unstructured information, giving organizations 360-degree views of core data in milliseconds to any application, user, or AI agent. Trusted by the world’s largest enterprises across life sciences, financial services, healthcare, and technology, Reltio helps organizations fuel frictionless operations, drive innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary: The Principal Enterprise Architect is a senior individual contributor within Solutions Consulting, providing technical leadership for Reltio’s most complex and strategically significant global sales engagements. This role fuses world-class enterprise architecture depth with visionary pre-sales leadership on Reltio's most critical, complex, and innovative engagements globally. Reporting into Presales, this individual partners exceptionally closely with Product Management, Field CTO’s, Engineering, and the Sales Account teams.  This role operates as a two-way bridge between the field and the roadmap at a strategic level, carrying customer and competitive intelligence into product direction and bringing emerging platform capabilities into the market ahead of competitors. Leveraging deep expertise in master data management, data unification, AI, and enterprise architecture, this individual engages C-suite executives like CDOs, Chief Architects, CIOs, and CTOs  at the world's leading organizations to architect how Reltio, as part of SAP Business Data Cloud, transforms their most complex enterprise data landscapes. Beyond winning landmark deals, the Principal Enterprise Architect defines industry best practices, shapes Reltio's technology vision through their partnership with Product Management, and mentors the next generation of technical leaders within Reltio. They are an influential technical voice in the company, connecting what the field sees to what the solution becomes. Job Duties and Responsibilities: Strategic pre-sales and enterprise architecture Serve as a principal technical advisor for Reltio’s most complex and strategically significant global sales opportunities, independently defining architectural approaches and resolving critical technical issues in partnership with account teams. Define and maintain reusable enterprise reference architectures and integration blueprints, including SAP integration patterns and SAP Business Data Cloud alignment. Partner with Solutions Consulting, Product Management, and Engineering to drive their adoption and inform longer-term solution direction. Co-create and evangelize transformative solution visions with C-level executives, demonstrating how Reltio unlocks unprecedented business value through advanced data unification, AI, and the Autonomous Enterprise. Set the technical objectives, success criteria, and architectural approach for proof-of-value engagements with strategic (lighthouse) customers, resolving novel challenges where requirements or product capabilities are evolving and translating validated approaches into reusable field guidance. Own the technical strategy and architectural narrative on landmark, multi-year, multi-million-dollar pursuits within a MEDDPICC-driven sales process. Define success measures with Solutions Consulting and Product leadership and evaluate the impact of strategic architecture initiatives, including technical success in priority pursuits, adoption of reusable solution patterns, and validated customer insights that inform product decisions. Product Management partnership (core to this role) Establish a structured process with Product Management and Field CTOs to synthesize customer, competitive, and architectural insights into recommendations for product strategy and roadmap prioritization. Partner with Product Management on the highest-stakes pursuits, co-developing solution approaches for capabilities that are emerging, in early release, or on the roadmap. Validate and pressure-test pre-release and early-access capabilities in demanding deal contexts, feeding practical, architecture-grounded insight back to product and engineering. Lead cross-functional resolution of strategic architectural issues spanning Solutions Consulting, Product Management, and Engineering, securing alignment on recommendations that support long-term customer and business objectives that drive Reltio's long-term technology vision and market leadership. Steward strategic design-partner and co-innovation relationships between marquee customers and Product Management. Industry leadership, enablement, and influence Define and champion innovative solution patterns, reference architectures, and best practices that set the standard across the Solutions Consulting organization and the broader industry. Develop the architectural capabilities of senior Solutions Consulting ICs, including Principal Solutions Consultants, through mentorship, design reviews, and reusable guidance to strengthen technical excellence across the organization. Represent Reltio as a leading industry expert and thought leader at prominent conferences, executive councils, with industry analysts, and in critical publications and speaking engagements. Influence market perception and competitive positioning through deep technical insight and strategic communication. Build and nurture strategic technical alliances and partnerships that extend Reltio's reach and capabilities. Skills You Must Have: Minimum 15 years of pre-sales, solution architecture, or enterprise architecture experience in enterprise software, with an extensive, demonstrable track record on highly complex, strategic data unification, AI, and platform engagements; Bachelor's degree in Computer Science, Engineering, or experience in a deeply related technical field. Recognized as a leading expert in enterprise data architecture, master data management, cloud-native technologies, and advanced AI/ML applications, with the credibility to advise Chief Architects and CDOs. Proven ability to design and defend end-to-end solution architectures within the most complex, heterogeneous enterprise environments. Exceptional ability to engage, influence, and build trusted advisor relationships with CEOs, CIOs, CDOs, and other C-suite executives at Fortune 500 companies. Proven experience shaping and winning landmark, multi-year, multi-million-dollar enterprise software deals on a global scale. Deep experience working directly with Product Management, translating field and customer insight into product direction and bringing roadmap awareness into strategic engagements. Deep expertise in enterprise data platforms, master data management, and data unification, with the ability to develop expert-level command of Reltio’s platform and architecture. Ability to evaluate emerging technology trends and translate them into practical recommendations for customer architecture, product direction, and field strategy. Superior communication, presentation, and storytelling skills, capable of inspiring diverse, high-level audiences. Demonstrated ability to lead complex technical initiatives through influence, align cross-functional teams, and mentor senior technical professionals without direct reporting authority. Demonstrated experience advising senior customer leaders on enterprise data strategy and long-term transformation roadmaps. Skills That Are Nice to Have: Ph.D. or Master's degree in Computer Science, AI, Data Science, or a related advanced technical field. Hands-on architectural expertise and at least one certification with a major cloud platform (AWS, GCP, Azure). Familiarity with the SAP ecosystem and SAP Business Data Cloud, and with integrating third-party platforms into SAP landscapes. Prior experience in a product-facing, field-CTO, or design-partner role that formalized the presales–product feedback loop. A frequent event speaker or author of content in data unification, AI, distributed systems, or enterprise architecture. Proven ability to invent and prototype novel solutions to previously unsolved business or technical challenges. Ability to build productive relationships with industry experts, technology partners, and customer architecture leaders. At Reltio, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. Overall Market Range $230,000 — $310,000 USD Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. We are seeking a Product Control Quantitative Lead to focus on the valuation and independent validation of options, structured products and related derivatives. The role will review pricing models, validate volatility surfaces/skews, verify model inputs, and present findings to the Valuation committee. This role will work closely with trading desks, risk, quants, and software engineers to ensure robust, auditable valuation processes and build scalable verification tools.  This role will require you to be in office 4 days per week. Responsibilities: Independently verify pricing models and the inputs used for options valuation and present results to the valuation/model validation committee. Assist Middle office and commercial groups by analyzing skew data to determine appropriate sources for valuation. Work with trading desk analysts, quantitative developers and risk to validate new instruments, and bespoke structures. Identify unobservable inputs and assumptions, and test sensitivities to those assumptions inputs are not directly observable. Work closely with software engineers to provide pricing verification system specifications. Develop and maintain auditable valuation documentation and model governance artifacts (methodologies, calibration procedures, data provenance). Skills & Experience: Minimum 7 years of relevant experience, ideally at a Proprietary Trading Firm, Hedge Fund, Investment Bank or Trading Venue. Experience constructing and analyzing volatility surfaces and option skews, including interpolation/extrapolation and smoothing techniques. Experience managing data and building tools in Python. A strong understanding of control functions - Comfortable interrogating assumptions, performing sensitivity analysis, and translating model behaviors into business impact. Prior experience in model validation or model governance frameworks preferred. The annual base salary range for this position is $200,000 to $250,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-SK1]

Location: Berlin Our Story Founded in 2009, we’re one of the world’s leading game studios, and proud of our extremely international team, consisting of more than 50 different nations. We are part of Playtika and the global leader in the category of Hidden Object Games. With June’s Journey, we’re providing joy for millions of players around the world every day. How we work Our aim is to keep doing so for many more years, if not decades. In order to be able to do so, we’ve defined a distinct way of how we’re working at Wooga, so that all relevant aspects intertwine and have a positive impact on the game. No matter if you’re part of a game team or support the success of Wooga as part of a central team, all 250+ employees from around the world can make an impact. We’re proud of the environment we’ve built, and believe you’ll enjoy working with some of the best people in the industry. Our drivers: Speed, Focus, Ownership, and Impact, guide our working style at Wooga and help us make a deliberate choice to focus on what is important to us, while working towards a shared goal. These drivers shape how we work together and what we expect from ourselves and our leaders. We are looking for a high-impact, proactive Senior Data Engineer to join our Data Engineering team in Berlin. In this role, you won't just build pipelines—you will architect the data foundation that powers our next generation of casual games and advanced analytics, and AI-driven workflows. You will be in an environment where you can take full ownership of business outcomes, bridge technical execution with strategy, and proactively identify opportunities to optimize and scale our data transformation journey. About the job Data Architecture & Strategy: Design and build resilient, scalable data infrastructure optimized for analytical workflows, feature stores, real-time context delivery, and AI-ready, well-documented data for agents and LLM applications. Modern Pipeline Engineering: Build, maintain, and optimize robust batch and streaming ETL/ELT pipelines using Scala, Python, SQL and dbt. Data Warehousing & Lakehouse: Architect clean, cost-efficient, and highly performance schemes across our cloud data warehouse platform on Snowflake. AI-Enabled Engineering & Agentic Workflows: Use AI as a daily force multiplier, not only for writing code but across the data lifecycle, from design and documentation to testing, debugging, and incident triage. Design, build, and operate agentic workflows (for example, agents that monitor pipelines, investigate data quality issues, generate and validate dbt models, or answer analysts’ questions against governed data), with proper guardrails, evaluation, and observability. Quality, Reliability & Governance: Implement automated testing, observability, and monitoring frameworks to guarantee high data reliability and low latency. Engineering Excellence & Best Practices: Follow rigorous CI/CD practices, Infrastructure-as-Code (Terraform), version control, and clear documentation across all data assets. Cross-Functional Enablement: Collaborate closely with marketing managers, game teams, product managers, and data analysts to turn ambiguous business needs into high-impact data solutions. About you Relevant Experience: In-depth professional experience as a software engineer or data engineer. Data Engineering Expertise: Strong background in senior data engineering roles with advanced proficiency in Python and complex SQL. Strong Core Programming: Deep professional experience in a strongly-typed language such as Scala, Java, or Go for building resilient data services. Modern Stack Mastery: Practical experience with cloud data platforms (favorable Snowflake), dbt and orchestration tools (we use Airflow). AI & Agentic Experience: Hands-on experience applying AI tools in your engineering work and building agentic workflows, including tool use or MCP integrations, orchestration, and evaluation. You know where agents add real value, where human review is essential, and how to keep them reliable, secure, and cost-aware. Software Engineering Mindset: Deep familiarity with Docker, Git, CI/CD, unit testing, and Infrastructure-as-Code (Terraform). Proactive & Impact-Driven: Autonomous problem solver who evaluates technical decisions based on speed-to-market, business value, and ROI rather than theoretical complexity. Collaborative Communicator: Excellent communication skills with the ability to articulate technical architecture to both engineering peers and business stakeholders. Please note: Research has shown that some under-represented groups in the gaming industry (eg: women) tend to apply only if they meet every single requirement. Here at Wooga, the desire to learn and the willingness to solve problems are more important to us than your experience on paper. We encourage you to apply even if you do not think that you tick all the boxes - thinking outside of such boxes and embracing the diversity of mindsets and backgrounds is what we believe makes our teams thrive. Our Promise Shape the future! Challenge the status quo and team up with a diverse group of experts (over 50 nationalities!) working on crafting the world’s best games. We offer a generous relocation package and home search support if you are not already located in Berlin. Did we mention that we also cooperate with Kindergartens? Make use of a significant education budget and extra days off for self-development. Join our meet-ups, talks, brown bag lunches, internal trainings, workshops and many others. Enjoy the pilates, mindfulness app, sports and transport subsidies. And a Purpose Day to donate your time to a worthy cause! Did you know that German is the third most commonly taught language worldwide? Learn it too! We offer German language classes for you and your significant other. With our hybrid work model you will work in the office with your teams twice a week, to encourage in-person collaboration and team bonding. The other three days you can choose if you want to work from home or from the office. We also offer 10 days a year to work from abroad. At Wooga we are committed to providing a friendly, safe and welcoming environment for everyone who works here or with us, regardless of gender, gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, religion (or lack thereof) and game preferences. Be yourself, we like you that way! By clicking “Submit Application” you acknowledge that you have read our Candidate Privacy Policy

Location: Remote; Remote or Boston, MA Workplace: remote Arcadia is dedicated to happier, healthier days for all.We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs. We’re a team of fiercely driven individuals committed to making healthcare more sustainable – and we’re looking for passionate people to help us get there. For more information, visit arcadia.io Why This Role Is Important to Arcadia Arcadia's Life Sciences business delivers de-identified clinical and claims data products and develops sponsored programs that support patient cohort identification, provider alerting and actioning, patient engagement, and outcomes reporting. These efforts require coordinated execution across Sales, analytics, engineering, QA/QC, and Delivery & Operations. The Project Delivery Manager, Life Sciences will organize that execution. This person will manage multiple solutioning projects from finalized sales agreement through implementation and turnover, maintaining clear plans, ownership, status, risks, issues, and decisions. The role will also provide supporting coordination for the Life Sciences feasibility queue. This is an individual-contributor role for someone who brings practical judgment, disciplined follow-through, and the interpersonal skill to create accountability without direct authority. The successful candidate will keep complex work moving without adding unnecessary process. What Success Looks Like In 3 Months •  Develop a working understanding of Arcadia's Life Sciences data products, sponsored programs, active projects, and the teams responsible for analysis, development, testing, and operations. •  Establish effective working relationships across Life Sciences Sales, analytics, engineering, QA/QC, and Delivery & Operations. •  Begin managing assigned solutioning projects through clear project plans, milestones, dependencies, responsibilities, risks, issues, decisions, and status reporting. •  Introduce consistent, practical project-management templates and working practices in Jira and Confluence without creating unnecessary administrative burden. •  Demonstrate early identification and escalation of risks that could affect project completeness or timing. •  Become familiar with the feasibility process and begin supporting queue coordination and status visibility. In 6 Months •  Independently manage multiple simultaneous Life Sciences solutioning projects from finalized sales agreement through implementation and turnover. •  Facilitate requirements discussions and ensure requirements, acceptance criteria, dependencies, decisions, and responsibilities are clearly documented. •  Maintain a reliable project cadence that keeps leaders and contributors informed of progress, upcoming decisions, risks, issues, and required actions. •  Coordinate customer and channel-partner discussions related to solutioning projects and ensure resulting requirements, decisions, and actions are captured and advanced. •  Ensure project workstreams, including analysis, technical development, testing, documentation, and implementation readiness, progress toward complete and timely delivery. •  Coordinate structured project turnover to Delivery & Operations, including required runbooks, known issues, outstanding items, and clearly assigned ownership. •  Provide supporting coordination for feasibility requests, helping maintain clear priorities, ownership, and status. In 12 Months •  Establish a consistent record of complete, on-time delivery across assigned Life Sciences projects. •  Be recognized as a reliable source of project status, ownership, dependencies, risks, issues, and upcoming decisions. •  Reduce late-stage surprises through early identification, communication, and escalation of project risks, resource constraints, and unresolved decisions. •  Establish a practical, repeatable project-execution framework across Life Sciences data products and sponsored programs. •  Improve project transition and turnover by ensuring sufficient documentation, runbooks, ownership, and implementation readiness. •  Identify recurring execution obstacles and recommend improvements that strengthen accountability, collaboration, and delivery predictability. What You'll Doing Project Planning and Execution •  Manage multiple Life Sciences solutioning projects from finalized sales agreement through implementation and turnover, with complete and on-time project delivery. •  Create and maintain clear project planning activities, milestones, dependencies, responsibilities, decisions, risks, issues, and action items. •  Organize and coordinate project activities across the Life Sciences team and supporting functions, maintaining clear ownership, prioritization, alignment, and progress across contributors. •  Establish a dependable meeting and reporting cadence appropriate to each project's complexity and customer commitments. •  Monitor progress, identify obstacles early, secure accountable owners, and escalate risks or unresolved decisions when necessary. Requirements and Stakeholder Coordination •  Facilitate requirements discussions and document agreed business and technical documentation, acceptance criteria, assumptions, and decisions. •  Build alignment across participating teams on priorities, responsibilities, dependencies, timelines, and execution approach. •  Facilitate customer and channel-partner discussions related to in-flight solutioning projects, ensuring requirements, decisions, action items, and next steps are clearly documented and communicated. •  Prepare concise status reporting for internal leaders and, when appropriate, customers and channel partners. •  Maintain project documentation in Jira and Confluence so current plans, decisions, and ownership are accessible to the people doing the work. Implementation Readiness and Operations Turnover •  Ensure all project workstreams, including requirements, analysis, technical development, testing, documentation, and implementation readiness, are appropriately planned, prioritized, and completed on time. •  Coordinate readiness reviews and confirm that agreed QA/QC activities, acceptance criteria, dependencies, and outstanding issues are understood before implementation. •  Coordinate the transition of completed projects to Delivery & Operations, ensuring required runbooks, known issues, outstanding items, and ownership are clearly documented. •  Facilitate project retrospectives and turn recurring lessons into practical improvements for future projects. Feasibility Support •  Support coordination of the Life Sciences feasibility queue, facilitating prioritization of new Sales demand against existing activities and commitments across the Life Sciences team. •  Maintain visibility into feasibility-request status, ownership, dependencies, and expected completion. Tools and Working Environment •  Project workflow and documentation: Jira and Confluence •  Project management best practices: project plans, RACI models, milestone and dependency tracking, risk and issue management, decision records, action tracking, and status reporting •  Data environment familiarity: healthcare data schemas, claims and clinical data, data pipelines, QA/QC practices, and software development lifecycle concepts •  Collaboration: remote, cross-functional teams supporting data products, analytics, software development, and customer delivery What You'll Bring Education •  Completion of a postsecondary degree, certificate, apprenticeship, or comparable structured educational program. Experience •  Five or more years of practical experience managing healthcare data, technology, analytics, implementation, or similarly complex cross-functional projects. •  Demonstrated success managing multiple concurrent projects through complete and timely delivery. •  Experience coordinating technical and nontechnical contributors without direct reporting authority. •  Hands-on experience with Jira and Confluence for planning, documentation, action tracking, and status reporting. •  Experience facilitating requirements discussions and maintaining clear project documentation, including responsibilities, dependencies, risks, issues, decisions, and acceptance criteria. •  General understanding of healthcare data structures, data pipelines, QA/QC, and software development lifecycle practices. Coding experience is not required. Skills •  Practical judgment and a straightforward working style focused on completing the work rather than adding process for its own sake. •  Strong organizational skills, attention to detail, and disciplined follow-through across multiple projects and competing priorities. •  Ability to create clarity, alignment, and accountability across teams without relying on formal authority. •  Clear written and verbal communication, including concise status reporting and appropriate escalation of risks and issues. •  Strong facilitation skills and the confidence to guide discussions toward decisions, owners, and next steps. •  Comfort working through ambiguity while maintaining momentum and identifying where leadership decisions are required. •  A collaborative approach and sound interpersonal judgment when working with internal teams, customers, and channel partners. Would Love For You To Have •  Experience managing projects involving healthcare claims, EHR, clinical, or other real-world data. •  Experience working for a healthcare data vendor, healthcare technology company, analytics organization, or life sciences company. •  Familiarity with projects involving patient cohort identification, provider alerting and actioning, dashboards, patient engagement, or outcomes reporting. •  Experience coordinating data-pipeline, analytics, or software-development work through testing and implementation readiness. •  Familiarity with Snowflake, AWS, SQL, or modern data-platform concepts sufficient to follow technical discussions; hands-on coding is not required. •  Project-management or Agile training or certification. Practical experience and judgment are more important than a specific certification. What You'll Get •  A central role in helping Arcadia's Life Sciences team deliver complex data and technology projects with greater clarity and predictability. •  Direct exposure to Life Sciences leadership team, analytics and engineering teams. •  Opportunities to work on programs that connect real-world data, provider workflows, and life sciences research and engagement. •  A flexible, fully remote work environment with the autonomy to establish practical ways of working. •  The opportunity to help shape program practices as Arcadia's Life Sciences business grows •  The opportunity to use advanced AI and agentic workflow capabilities to improve program planning, coordination, documentation, and execution •  Membership in Arcadia's talented, purpose-driven community About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: United Kingdom, Remote Workplace: remote Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular.   Reporting to the Security Engineering Director, the Staff Security Engineer will act as technical lead of the Olo Security Blue Team and work on security defences that allow our systems to keep running while protecting the data of our clients and their customers.   Additionally, you will help in the identification and prioritisation of future project initiatives based on risk and execute cross-functional projects with a high degree of ownership and excellence, all while actively mentoring other team members and elevating the collective team’s capabilities and skill sets. If you are passionate about reducing risk while supporting innovation, we encourage you to apply!   You can work remotely from anywhere in the United Kingdom. How you’ll make an impact Guide and coach Olo’s Blue Team on Information Protection, Incident Detection and Response and Service Delivery. You will provide strategic and technical oversight to the team and the program. Technically lead a team of security engineers and analysts who hunt, detect, and respond to internal and external threats. Collaborate with customers and partners to strengthen their security posture. Drive ongoing optimisations by implementing new technologies, replacing technologies, addressing evolving threats, scaling practices and automating security activities. Ultimately you will keep team member and customers data safe by identifying and mitigating vulnerabilities and risks by providing actionable guidance to product teams. Information Protection Lead Olo’s Information Protection program including the selection, testing, implementation and maintenance of security tools and services, security awareness, service provider management and the ongoing testing of those controls. Oversee Vulnerability Management program including vulnerability assessments, risk scoring and vulnerability resolution. Oversee Threat Hunting program to detect and mitigate advanced threats. Manage non-event driven security reviews, including concept reviews, design reviews, patching, firewall rules and system configuration checks. Apply Web application and API security principles and techniques, such as zero trust, RBAC, authentication, authorization, auditing, rate limiting, challenges, etc., to protect our cloud-based services from unauthorized access and abuse. Incident Detection and Response Oversee Incident Detection and Response program including ownership of incident response processes, tools and services and the ongoing continuous improvement of those controls. Coordinate the detection and response to attacks through all incident phases. Ensure incident reports are accurate, detailed and relevant. Monitor, detect, and remediate misconfigurations and security risks across our cloud environments. Participate in a 24/7 on-call rotation. Security Services Oversee Security Services program including security support requests, risk assessments, vendor assessments, PCI and SOC audit support and service provider management. What We'll Expect from You 5+ years of Security Engineering, Security Operations or Security Architecture experience. CISSP, GCIH or similar certification preferred. Experience acting as technical lead to distributed teams consisting largely of remote engineers. Experience complying with PCI-DSS and other compliance and regulatory standards. Experience with attacker tactics, techniques and procedures. Knowledge of information technology, evolving threats, attack patterns, incident response and cyber security standards. Experience developing and leading incident response, remediation and mitigation activities, and providing status updates and reports. Experience analyzing security events to discern events that qualify as a legitimate security incident as opposed to non-incidents (ie. incident investigation, implementing countermeasures, and conducting incident response). Deep understanding of operating system, networking and application concepts. Experience hardening Windows, MacOS, Linux Containers and Kubernetes. Familiarity with AWS security best practices and Infrastructure-as-Code. Experience deploying and maintaining security technologies. (e.g. Access Proxies, API Gateway, Anti-Malware, Application Control, Cloud Security Posture, Data Leak Prevention, Data Mapping, Endpoint Detection & Response, Intrusion Detection System, File Integrity Monitoring, Firewalls, Mobile Device Management, Multi Factor Authentication, SIEM, Static Inspection, Vulnerability Assessment, Web Proxies, WAF and Zero Trust). Adept at working with internal Product & Engineering, Legal, People & Culture, Finance and GTM teams and external partners, auditors and customers. Ability to work during critical incidents or to support coverage requirements. About Olo Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com. Applicant Privacy Notice (United Kingdom)

Location: Remote Workplace: remote Arcadia is dedicated to happier, healthier days for all. We transform diverse data into a unified fabric for health. Our platform delivers actionable insights for our customers to advance care and research, drive strategic growth, and achieve financial success. For more information, visit arcadia.io.   Why This Role Is Important To Arcadia The Technical Product Manager, Life Sciences sits at the intersection of product strategy and engineering execution, embedded directly with our teams to turn complex healthcare data and platform capabilities into products our customers rely on. This role owns the technical depth of the product lifecycle while keeping the team anchored to customer value and business outcomes. You will be the connective tissue between Product and Engineering: fluent enough in the technical stack to make real-time tradeoff decisions with engineers, and disciplined enough in product craft to keep the roadmap grounded in customer impact. This is a hands-on, technical product role for someone energized by the details of how things work, not just what gets shipped. What Success Looks Like In 3 Months Develop working fluency in Arcadia's platform architecture, data model, and the technical stack of your assigned engineering team. Build trusted, credible working relationships with your engineering counterparts, joining sprint ceremonies and grooming sessions. Take ownership of a product area's backlog and begin active prioritization grounded in customer and technical impact. Demonstrate the ability to hold your own in a technical conversation about pipeline architecture, data, or implementation tradeoffs. In 6 Months Ship one or more meaningful product increments in close partnership with engineering, on a predictable delivery cadence. Establish clear product and delivery metrics, and use them to guide prioritization and stakeholder reporting. Be a go-to resource for engineering on requirements clarity, scope tradeoffs, and customer context. Lead structured technical discovery (data investigation, feasibility checks, pipeline architecture discussions) that informs roadmap decisions. In 12 Months Be recognized as the product owner and technical subject-matter expert for your portfolio, trusted by engineering and business stakeholders alike. Drive roadmap strategy that balances near-term delivery with long-term platform scalability and technical health. Proactively identify and act on opportunities to reduce technical debt, improve data quality, or unlock new technical capability. Mentor peers on how to work effectively with engineering teams and contribute to broader product-engineering process improvements. What You'll Be Doing Own product strategy and roadmap for a defined portfolio within Arcadia's platform, partnering day-to-day with an embedded engineering teams through the full SDLC. Translate business goals, customer needs, and technical realities into clear requirements, acceptance criteria, and well-scoped increments engineering can execute against. Engage deeply with engineering on data pipeline, data models, and enrichment asking the right technical questions and making informed calls when priorities conflict. Run and participate in agile ceremonies: backlog grooming, sprint planning, sprint reviews, and incident/RCA reviews, ensuring engineering has what it needs to move fast without losing quality. Deconstruct ambiguous or large-scale goals into MVPs and iterative delivery plans, adjusting scope based on technical constraints and customer feedback. Use SQL and product/data instrumentation to self-serve answers, validate hypotheses, and make data-informed prioritization decisions. Replicate, triage, and help troubleshoot complex product issues alongside engineering, escalating and documenting bugs and workarounds as needed. Communicate roadmap progress, technical risks, and tradeoffs clearly to both technical and non-technical stakeholders. Partner with agentic designers, operations, commercial, marketing, and analytic teams to ensure what engineering ships is adopted and drives measurable value. Advocate for a healthy balance between shipping new capability and managing technical debt, performance, and platform scalability. What You'll Bring Education Bachelor's Degree in Computer Science, Data Science, Statistics, or a related field (or equivalent professional experience) Experience 4–7+ years of product management experience, with meaningful time spent working shoulder-to-shoulder with engineering teams in Agile/Scrum environments. Proven track record taking products from requirements through SDLC to launch, including scoping MVPs and iterating post-launch. Experience engaging in real technical tradeoff discussions architecture, APIs, data flows, scalability, and implementation approach. Healthcare, health-tech, or complex B2B data/SaaS experience strongly preferred; population health, value-based care, or interoperability experience is a plus. Technical Fluency Hands-on SQL proficiency, comfortable writing queries to self-serve analysis and validate product decisions. Working understanding of database and data-platform technologies (e.g., Snowflake, cloud data warehouses) and how data model design affects product capability. Comfort partnering with engineers on API design, system architecture, and technical constraints without needing everything translated into non-technical terms. Qualities & Skills Strong ownership mentality with a bias toward action and hands-on execution. Excellent written and verbal communication; able to move fluidly between engineering detail and executive-level summary. Comfortable operating in ambiguity, breaking large problems into deliverable increments. Calm, confident facilitator of trade-off conversations across product, engineering, and business stakeholders. Attention to detail and a commitment to clear, current documentation. Would Love For You To Have Experience with healthcare data standards or interoperability frameworks (e.g., FHIR) and regulatory-grade data environments. Exposure to AI/ML or GenAI-enabled product capabilities, including retrieval-augmented generation, automation, or predictive analytics. Experience with BI/visualization tools (Tableau, Power BI, Looker, or similar) and large-scale data platforms (Snowflake, Redshift, Databricks, or similar). A background in a hard science (math, statistics, computer science, or engineering) or prior experience as a software engineer or data analyst. What You'll Get The chance to work shoulder-to-shoulder with a team of extremely talented, dedicated engineers and product builders. Deep, focused exposure to Arcadia's platform architecture, data model, and engineering practices. Be part of a mission-driven company transforming healthcare by changing the way patients receive care. A flexible, remote-friendly company with personality and heart. Employee-driven programs and initiatives for personal and professional development. Membership in the Arcadian and Barkadian community. About Arcadia Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website. Protect Yourself If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website. This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties.  For any security-specific roles, the responsibilities would be further defined by the hiring manager.

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Junior Trader , you will have an opportunity to combine the disciplines of risk management, research and technology to operate trading strategies across multiple asset classes. You will work closely with experienced traders, software engineers and quantitative researchers to ensure optimal system performance. Responsibilities: Operate automated, latency-sensitive trading systems Conduct quantitative research into strategy performance, back-testing hypotheses and refine strategies Adjust system parameters dynamically based on market conditions Manually trade to reduce risk exposure when necessary Identify opportunities for automation and propose improvements to trading systems and operational workflows Develop internal tools and utilities to improve monitoring, operational efficiency, and desk processes Communicate relevant market news, events, and system behaviour to team members in a timely manner Generate feedback on trading system performance through analysis of system logs, executions, and market data Required Experience: Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Computational Finance, or an equivalent STEM field Ability to understand and reason about complex distributed trading systems Strong analytical and quantitative mindset Proficiency in programming languages such as Python or C++ Meticulous attention to details, strong judgement and accuracy in work Excellent verbal and written communication skills, with the ability to effectively interact and collaborate across research and engineering teams Ability to adapt in a fast-paced, collaborative, and results-oriented environment, and thrive under time-sensitive and high-pressure situations Self-starter with strong proactivity, sets ambitious goals, willingness to drive and own projects, and proactively identifies opportunities for impact Nice to Have: Prior trader or trading analyst experience preferred The annual base salary range for this position is $150,000 to $200,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-LR1]