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Location: Berlin Workplace: OnSite ABOUT PEEC AI AI search is changing how brands are discovered and chosen. People now ask ChatGPT, Gemini, Claude and Google’s AI answers what they used to search for, and AI assistants increasingly shape the journey from discovery to purchase. Winning customers now means winning over the AI systems that influence their decisions. Peec AI is an AI search platform that helps marketing teams understand and improve how their brands are discovered, represented, and recommended. We show them where they stand, what’s shaping it, and where to act. Since launching in January 2025, Peec AI has passed $20M ARR and 4,000 paying customers. We’re a Series A company backed by 20VC and Singular, with 100+ people across our Berlin HQ and our New York office. WHAT YOU’LL DO - Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search - Develop algorithms that extract actionable insights from AI search behavior, creating data-driven recommendations that help brands increase their AI Search visibility - Own the full model lifecycle from experimentation to production deployment, working closely with engineering to integrate ML solutions into our systems - Design and implement data pipelines to ingest, process, and analyze large volumes of data WHAT WE’RE LOOKING FOR - Proven backend development skills in Python with experience building APIs, data pipelines, or ML infrastructure, and familiarity with tools like FastAPI, Docker, and cloud platforms (preferably GCP) - Deep curiosity about how LLMs work, with the ability to reverse-engineer AI search behavior and translate patterns into actionable product features - Track record of taking projects from research to production in a fast-moving startup environment, with strong problem-solving skills and comfort working with ambiguous, evolving problems - Excellent communication skills with the ability to explain complex technical concepts to customers and stakeholders OUR DATA SCIENCE STACK - Languages: Python, SQL - Libraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX - Backend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQuery - AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc. BONUS POINTS - Contributions to open-source projects - Deployed side/hobby projects that we can check out - Presented research papers at top ML or AI conferences - Having started a company before or worked at a high-growth startup - Fluency in Typescript WHAT WE OFFER - Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups - Regular team events and off-sites - Aggressive equity compensation package - Paid Dinner & Uber home when working late - The most beautiful office space and work environment in Berlin

Location: CAN: Vancouver (333 Seymour St) Workplace: Hybrid THE ROLE / IMPACT As an Engineering Manager, you will drive the delivery of high-quality software by leading high-performing, inclusive teams. You won’t just manage the work; you will act as a technical anchor, maintaining an informed opinion on system health and code quality while ensuring your team’s roadmap is delivered predictably. Your impact is defined by a delicate balance of driving product delivery velocity and upholding operational excellence. You will guide your team to hone their engineering craft, championing AI-native workflows and resolving complex technical challenges to deliver outcomes that align with business and customer goals. THE TEAM / HOW THEY CONNECT You will lead a coordinated team where building trust through transparency and seeking diverse perspectives are core to how we work. By collaborating closely with cross-functional partners in Product and Design, you will resolve dependencies early and ensure your engineers have a sustainable environment to do their best work. The team is currently working on / Initially, you will focus on - Championing AI Engineering by encouraging the team to inject AI across the entire SDLC to drive efficiency gains. - Driving high engineering throughput through strong architecture, code quality, and decoupling legacy systems. - Elevating the Developer Experience by identifying and removing the "complexity tax," such as toil and brittle environments. - Scaling system health and visibility to ensure product status and technical debt are actionable and discoverable. You can find out more about the different engineering teams we hire for at Xero here https://careers.xero.com/our-teams/engineering/. WHERE AND HOW YOU CAN WORK This role is based in Vancouver, offering a hybrid working model that balances local team presence with a global scope of work. You will have the flexibility to work from home while connecting with your colleagues in our modern office spaces during designated boost days. HERE ARE SOME OF THE THINGS WE ARE LOOKING FOR - You bring a proven track record of delivering software roadmaps in agile environments while managing complex dependencies. - A deep understanding of software architecture and the ability to guide teams through technical modernisation is something you possess. - You have a passion for providing high support through coaching, mentoring, and advocating for the career progression of your engineers. - Your approach to leadership involves making fast, decentralised decisions and empowering your team to take ownership. - You possess the ability to lead through influence, building strong partnerships across Product and Design to align on shared goals. - A bias for action is part of your DNA, allowing you to proactively redirect focus when work isn't moving the needle on business outcomes. 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. We are also tech stack agnostic, so please apply if you've worked with adjacent technologies. At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits. The expected base salary range for this role is $188,000 - $236,000 CAD. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets. This is a posting for an existing vacancy. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

Location: Europe We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, and we may help to find the right ones. Currently, we are looking for an experienced Senior ML Engineer to join one of toogeza’s clients. Professional qualifications - 7+ years’ experience in Machine Learning / Data Science, with 3+ years in credit-lending organisations. - Demonstrated delivery and productionisation of Probability-of-Default (PD) models, credit-limit strategies, fraud-detection, conversion-uplift, and collections-optimisation models. - Advanced Python proficiency and solid grasp of modern ML algorithms, feature engineering, and model-evaluation best practices. - Ability to write, structure, and optimise complex SQL queries. - Deep understanding of the credit lifecycle, especially online lending workflows. - Proven skill in sourcing, cleansing, and generating features from data sets. - Comfortable setting up and maintaining modelling environments (local, cloud, or on-prem). - Detail-oriented, accountable, and committed to both team and individual targets. - English: Intermediate (B1) or higher. Preferred / bonus qualifications - Practical experience with LLM solutions: - Using commercial APIs (e.g., OpenAI, Anthropic, etc.). - Self-hosting of open-source models - Fine-tuning of open-source models. - Building voice chatbots. - Building RAG chatbots. - Experience with Computer Vision models for document or image processing. - Building ML pipelines and deploying models to production. - Creating executive dashboards and model reports in Power BI. Main responsibilities - Design, train, and deploy probability of default models. - Build credit-limit strategies. - Discover and scope AI/ML opportunities that boost efficiency and revenue of the company, including collections optimisation, fraud control, conversion lift, etc. - Analyse data sources and engineer features for modelling. - Produce and update internal model documentation. - Implement model monitoring. - Plan and execute A/B tests. - Build Computer Vision pipelines to automate lending workflows. - Develop LLM-based solutions that streamline internal processes or enhance customer experience. Expected results - Implemented probability of default models and credit-limit strategies. - Launched A/B tests for models that potentially can boost the efficiency and/or revenue of the company. - Thorough, audit-ready documentation for models. What We Offer - Join a fast-scaling FinTech company where your decisions shape the business and your contributions truly matter. - Enjoy 20 paid days off annually, flexible scheduling, and a supportive, people-first culture. - Partial compensation for medical insurance, sports activities, and foreign language. - Work in an international, agile team with ambitious goals, modern tools, and a strong sense of purpose. Professional qualifications - 7+ years’ experience in Machine Learning / Data Science, with 3+ years in credit-lending organisations. - Demonstrated delivery and productionisation of Probability-of-Default (PD) models, credit-limit strategies, fraud-detection, conversion-uplift, and collections-optimisation models. - Advanced Python proficiency and solid grasp of modern ML algorithms, feature engineering, and model-evaluation best practices. - Ability to write, structure, and optimise complex SQL queries. - Deep understanding of the credit lifecycle, especially online lending workflows. - Proven skill in sourcing, cleansing, and generating features from data sets. - Comfortable setting up and maintaining modelling environments (local, cloud, or on-prem). - Detail-oriented, accountable, and committed to both team and individual targets. - English: Intermediate (B1) or higher. Preferred / bonus qualifications - Practical experience with LLM solutions: - Using commercial APIs (e.g., OpenAI, Anthropic, etc.). - Self-hosting of open-source models - Fine-tuning of open-source models. - Building voice chatbots. - Building RAG chatbots. - Experience with Computer Vision models for document or image processing. - Building ML pipelines and deploying models to production. - Creating executive dashboards and model reports in Power BI. Main responsibilities - Design, train, and deploy probability of default models. - Build credit-limit strategies. - Discover and scope AI/ML opportunities that boost efficiency and revenue of the company, including collections optimisation, fraud control, conversion lift, etc. - Analyse data sources and engineer features for modelling. - Produce and update internal model documentation. - Implement model monitoring. - Plan and execute A/B tests. - Build Computer Vision pipelines to automate lending workflows. - Develop LLM-based solutions that streamline internal processes or enhance customer experience. Expected results - Implemented probability of default models and credit-limit strategies. - Launched A/B tests for models that potentially can boost the efficiency and/or revenue of the company. - Thorough, audit-ready documentation for models. What We Offer - Join a fast-scaling FinTech company where your decisions shape the business and your contributions truly matter. - Enjoy 20 paid days off annually, flexible scheduling, and a supportive, people-first culture. - Partial compensation for medical insurance, sports activities, and foreign language. - Work in an international, agile team with ambitious goals, modern tools, and a strong sense of purpose.

Location: Remote (USA) 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  The Director, Analytics is a senior level position responsible for shaping analytic strategy and delivering high-impact insights across complex customer engagements. This role reports directly to the VP of Analytics and operates as the highest-level analytic authority on our productionalized analytics engines and dashboards; driving methodological rigor, influencing business strategy, and ensuring analytics directly support contractual commitments and measurable performance outcomes. This individual will lead a team of SQL analysts and BI developers to deliver scalable analytic solutions. Given the scale, visibility, and complexity of the work, this role requires deep healthcare domain expertise, advanced technical capability, strong executive presence, and the ability to operate autonomously in ambiguous environments.   What Success Looks Like In 3 months Develop deep understanding of enterprise data architecture, reporting commitments, and performance objectives Establish credibility as a strategic analytic partner to senior leaders and to your direct reports Contribute to builds across backend and frontend deliverables Provide guidance on complex analytic workstreams and influence prioritization decisions Build trust from team of 4-8 analysts/dashboarders and understand how team fits into priorities Work to refine current OKRs and build team out necessary to execute on those OKRs In 6 months Drive measurable improvements in analytic quality, scalability, and efficiency Lead cross-functional initiatives requiring advanced methodological expertise Serve as trusted advisor on medical economics, risk, episodes, and dashboarding Create rigorous performance management framework for team to be evaluated against Ensure AI integration into analytics workflows In 12 months What You'll Be Doing Define and lead analytic strategy across large-scale, high-visibility engagements Architect advanced analytic frameworks supporting medical economics, performance measurement, population health, and value-based care initiatives Serve as the senior-most analytic escalation point for complex methodological or data integrity questions built in DBT (Spark, SQL) and Amazon Quicksight Drive cross-functional alignment across Product, Engineering, Actuarial, Data Science, Finance, and Customer Success Ensure technical excellence and rigor in all analytic deliverables; establish quality standards and governance practices Identify scalable opportunities for automation, reusable intellectual property, and analytic innovation Present insights and strategic recommendations to senior and executive-level stakeholders Mentor and develop Lead, Senior, and Data Analysts, elevating analytic capability across the team Influence product and roadmap decisions through data-driven thought leadership What You'll Bring 8–10+ years of healthcare analytics experience, with experience in medical economics or risk and dashboarding required Advanced SQL proficiency, including optimization of complex queries in large data environments Advanced Dashboarding proficiency, experience with Quicksight a plus (Tableau, Looker, Power BI, etc. are acceptable) Experience designing analytic methodologies and scalable frameworks Demonstrated success influencing senior or executive stakeholders Proven experience leading large, complex analytic initiatives and teams with significant business impact Strong data storytelling and executive-level communication skills Experience mentoring and elevating senior analytic talent Would Love For You To Have Experience supporting large, enterprise healthcare clients Experience working within AWS or large-scale cloud data environments Proficiency in DBT pipelines a plus Experience shaping product or analytics roadmaps at a strategic level Experience using AI tools to enhance your coding and workflows as they relate to analytics What You'll Get Be a part of a mission driven company that is transforming the healthcare industry 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 Become a member of the talented, energized, diverse and purpose-driven Arcadian 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: London, UK Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Who You Are You are a DevOps engineer with software development background who likes working on everything that helps to improve the quality of life for your team and providing your expertise in creating a performant CI/CD stack to boost the code development/build process. What You’ll Do - Collaborate closely with our engineering team to help them be more productive by improving development tools. - Maintain a strong connection to the product and remain comfortable engaging in direct feature development - You will take ownership of CI/CD stack, keeping it robust, observable, stable, and performant. - Research, implement, and develop tools to help developers write new code. - Ensure the CI/CD infrastructure and process is reliable and consistent. What we’re looking for - Solid background in Linux. - Experience in CI/CD stack development and maintenance. - Working proficiency with Ruby, Javascript or Python. - Knowledge of AWS technologies (EC2, load balancing, auto-scaling, IAM, S3, Route53, etc.). - Telemetry and monitoring experience (OpenTelemetry, Grafana, Kibana). - Experience with containerization (Docker, Kubernetes, etc). What we’d be particularly excited about - Experience with CI build time optimization especially with Jenkins, Rspec and Cypress/Playwright. - Familiarity with databases like MongoDB and/or ClickHouse. - Experience with build systems like Webpack, Gradle, etc. - Proficiency with the CI tools like Jenkins, TeamCity, etc. What you’ll learn: - You’ll learn about the Ruby language and the Rails framework since it’s used in many aspects of our projects and tools. - You’ll gain deep insights into infrastructure automation using technologies such as Ansible and Terraform since they are central to our deployment strategies. Blog Posts Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/how-we-scaled-to-thousands-of-sidekiq-workers   About Sensor Tower Sensor Tower is a global provider of digital intelligence solutions, empowering companies to understand consumer behavior and market performance across mobile apps, digital platforms, and gaming ecosystems. Headquartered in San Francisco, Sensor Tower's insights are trusted by more than 2,500 enterprises worldwide. Founded in 2013, Sensor Tower’s market insights have helped marketers, app developers, and gaming leaders demystify the mobile app ecosystem with visibility into usage, engagement, and paid acquisition strategies. Today, Sensor Tower’s digital market insights platform has expanded to include Gaming, Web, Audience, and Digital Advertising Insights, helping global leaders understand market trends and their competitor’s strategies and audiences across the entire digital ecosystem. Why Sensor Tower? Our flexible work environment allows employees to live in greater connection with the people, places, and activities they love! GLOBAL TEAMS Sensor Tower has a global presence, with teams across the world and available in most time zones, including North America, Europe, Middle East, Africa, APAC and LATAM. We maintain regional offices in SF, LA, NY, London, Singapore, Beijing, Seoul, Tokyo and Vancouver. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, and veteran status. We will consider qualified applicants with arrest and conviction records. If you have a disability or special need, please do not hesitate to let us know and we'll do our best to accommodate. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Opportunity We are looking for a Security Operations Engineer who combines hands-on engineering skills with security operations expertise. You will be deeply involved in the operations and troubleshooting of both server-side and client-side components within our Zero Trust architecture, drive security risk governance initiatives, and leverage AI tools to continuously improve system stability and compliance. Key Responsibilities K8s Operations & Vendor Engagement: Develop deep expertise in K3s / Kubernetes, including version management and disaster recovery. Independently identify and reproduce system issues, proactively engage with vendors to drive root cause analysis and resolution — not just workarounds. Zero Trust Network Access Governance: Work closely on Zero Trust initiatives, participate in cluster network configuration and troubleshooting, identify device compliance risks, drive remediation of non-compliant devices, and continuously optimize access control policies. Monitoring & Observability: Build and continuously improve log monitoring systems; proactively surface system risks through alert rules and trend analysis. AI Agent Implementation: Lead the adoption of AI Agents in security operations — design and deploy AI Agent workflows for log analysis, alert triage, and automated incident remediation (e.g., Multi-step Agents using Claude / GPT with tool-calling), reducing manual intervention and improving response efficiency. Requirements Must Have Solid understanding of Kubernetes / K3s core concepts; able to independently diagnose cluster-level issues. Foundational knowledge of security principles and Zero Trust model; strong networking fundamentals with the ability to independently troubleshoot and analyze network connectivity issues. Hands-on experience with AI tools (e.g., Claude, Codex, or equivalents) for day-to-day tasks including log analysis, scripting, fault diagnosis, and documentation. Bachelor's degree or above in Computer Science, Information Security, Network Engineering, or a related field; 3–5 years of relevant experience. Nice to Have Experience with DACS / NAC or similar device access control system operations or risk governance. Familiarity with monitoring and logging platforms such as Prometheus + Grafana, ELK, or Loki. Hands-on experience building AI Agents or implementing tool-calling workflows. Proven track record of collaborating with external vendors to drive issue resolution. Who You Are AI-Forward: You actively explore and integrate AI tools into your daily workflow to boost efficiency. Owner Mindset: You take genuine ownership of system health — you don't just close tickets. Strong Communicator & Driver: You can clearly articulate technical issues and effectively push cross-functional teams and vendors toward resolution. Self-Starter: You don't wait to be told — you proactively spot problems and drive them to closure. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Minsk; Warsaw; Tbilisi; Chișinău; Buсharest; Belgrade; lisbon Workplace: hybrid IDT is expanding its AI Lab and seeking a hands-on, highly experienced Senior Data Scientist with a proven track record of building new ML models from scratch and deploying them into real-time production. You will tackle complex problems across fraud prevention, payment risk, transaction scoring, personalization, and financial forecasting using large-scale transactional datasets. You will own the full modeling lifecycle — from problem framing through to production monitoring. Key Responsibilities: ML & Predictive Modeling: Design and build new models from the ground up (gradient boosting, neural networks, ensembles, anomaly detection) for anti-fraud, risk assessment, and personalization; maintain rigorous validation practices to prevent data leakage and overfitting. End-to-End & MLOps: Partner with Data Engineering and MLOps to operationalize models in production (batch and real-time/low-latency); build training, experiment tracking (MLflow), and model/data drift monitoring pipelines. Experimentation & Business Impact: Design A/B tests and statistical evaluations to measure model performance against key business metrics (reduced fraud losses, transaction acceptance rates, decision latency). R&D & Technical Leadership: Explore emerging techniques (LLMs/GenAI, graph-based methods), establish engineering best practices, and mentor fellow team members. Requirements (Must-Have): Experience: 5+ years of hands-on experience in Data Science / ML, with a strong focus on designing and building new ML models from scratch and delivering them into production with measurable business impact. English: B2+ (Upper-Intermediate or higher) — fluent written and spoken communication for technical discussions and daily collaboration with an international team. Math & Modeling Foundations: Deep understanding of statistics, probability, and validation methodologies; practical experience handling class imbalance, model calibration, and anomaly detection. Tech Stack: Python: Advanced proficiency (Scikit-learn, Pandas, NumPy); Deep Learning: Hands-on experience with PyTorch or TensorFlow; SQL: Complex queries and large-scale data manipulation; MLOps Tools: Experiment tracking and model lifecycle management (MLflow, ClearML, etc.). Education: Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field. Nice-to-Have: Domain experience in FinTech, Payments, or Fraud Prevention: real-time transaction scoring and low-latency inference. Experience with cloud data platforms (Snowflake), Feature Stores, and event-driven architectures. Background in time-series forecasting, graph neural networks, Explainable AI (XAI), or applied LLM solutions. Master’s degree or Ph.D. in a quantitative discipline. We offer you: Remote b2b or hybrid (Belarus-Moldova) work opportunity! Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program – get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. More perks for the Minsk and Chisinau office employees. A few words about us:   IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues.    IDT is not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.   Our flagship brand, BOSS Revolution, offers Money Transfer, International Calling, and Mobile Top-Up services and supports IDT’s mission of enabling people to keep in touch and share resources with family and friends worldwide. If you're looking for a company that will give you the maximum flexibility in choosing a location to work, this opportunity is for you!

Location: Remote (Canada); Toronto, Canada Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. About the team   The Data Science team at Wealthsimple consists of data scientists with diverse educational backgrounds such as physics, computer science, engineering and business. The Sales Data team is responsible for supporting the entire Commercial team through data modeling, pipelining, dashboarding, experimentation, analyses, and machine learning models. Our stakeholder teams are diverse, including Financial Planners & Advisors, Business Development Representatives, Revenue Operations and Commercial Systems. We build data solutions that directly optimize the sales process, improve lead scoring and routing, boost lifecycle marketing and drive revenue growth for Wealthsimple’s core metrics.   We are looking for a Data Scientist with strong foundational skills in both data engineering and applied data science. In this role, you will act as a generalist bridging the gap between data architecture and applied science. You will take ownership of stakeholder relationships while designing, building, and maintaining robust data models and pipelines to scale our Commercial operations. In this role, you will have the opportunity to: - Design, build, and maintain accurate, reliable data pipelines and commercial data marts using modern tools like dbt and Airflow. - Balance technical execution roughly 50/50 between data engineering/pipelining and applied data science/analytics. - Optimize commercial operations by enhancing lead generation, lead routing, and sales efficiency using sparse or multi-modal data sources. - Develop, implement, and maintain metrics, dashboards, and predictive models that directly impact top-line business goals. - Manage direct relationships with business stakeholders across Sales Operations, Commercial Leadership, Revenue Operations, and Product. - Conduct exploratory analyses and design experiments (e.g., A/B testing) to test hypotheses and improve go-to-market strategies. - Collaborate closely with teammates to raise data quality standards, share knowledge, and improve core data architecture. What you bring: - 2–4 years of experience in a Data Science, Decision Science, or Analytics Engineering role. - Strong proficiency in SQL & Python, with hands-on experience building and maintaining data pipelines using tools like dbt and Airflow. - Data Engineering Aptitude: Comfortable working with data architecture, designing clean data models, and managing data pipeline flows. - Stakeholder Relationship Building: Ability to communicate technical findings, build trust, and align priorities with business stakeholders independently. - Applied Statistics & ML Foundations: Practical understanding of foundational statistical concepts, experimentation (A/B testing), and machine learning techniques applied to real-world business problems. - Comfort working with messy, sparse, or unstructured datasets to extract actionable insights about client behavior and sales processes.   WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: Serbia; Georgia; United Arab Emirates; Portugal; Kazakhstan Emerging Travel Group is a global travel-tech company whose brands have been operating in over 220 source markets since 2010. We specialize in developing advanced online booking platforms for all types of clients — from individual tourists to travel agents and companies organizing business trips. Our solutions empower hoteliers to effortlessly showcase their accommodations, boosting visibility and attracting a broader audience. Our mission is to create, distribute, and operate the most convenient travel products. We constantly innovate and break the rules of the highly complex travel industry to make travel more widely available for individuals, more rewarding for professionals, and simpler for everyone. We are looking for a Strategic Revenue Manager to become a key connector between commercial, finance, and operational teams. Your mission: analyze revenue and profitability performance, identify gaps, initiate and drive corrective actions, and ensure that revenue growth translates into sustainable margin improvement. This is not an administrative or supporting role – your impact will be measured by real business improvements in profitability, operational discipline and execution. This is a remote position. Job Responsibilities Revenue Performance Management Own the Plan-Fact review cycle across regions and commercial teams. Identify revenue, margin, and profitability deviations and drive root-cause diagnostics. Engage directly with Cluster Managers and Regional Directors to understand the business context behind performance deviations - not just the numbers. Build corrective action plans collaboratively with commercial stakeholders, balancing quantitative analysis with operational realities and market-specific insights. Facilitate cross-functional discussions to align stakeholders around priorities, solutions, and execution plans. Drive execution follow-through and maintain accountability across teams until measurable business outcomes are achieved. Escalate blockers and maintain decision-making momentum. Cost of Sales and Profitability Optimization Monitor Cost of Sales drivers and profitability performance across regions and partners. Build visibility frameworks and actionable profitability reporting. Lead cross-functional initiatives focused on margin improvement and operational efficiency. Support optimization of partner economics, payment conditions, and commercial profitability. Governance and Strategic Support Establish scalable governance processes for revenue and margin management. Support budgeting, forecasting, marketing investment cases, and strategic commercial initiatives. Partner closely with Revenue leadership, FP&A, Marketing, Analytics, and Commercial teams. Requirements Fluent English. 3–6+ years of experience in roles combining commercial exposure, analytical rigor, and operational ownership. Experience working directly with senior commercial stakeholders and influencing business decisions without formal authority. Background in Revenue Operations, Commercial Finance, FP&A, Business Performance, Strategy & Operations, or Consulting with P&L exposure. Strong understanding of profitability and performance metrics, including Gross Margin, Contribution Margin, CoS, CAC, LTV, and P&L logic. Proven ability to build governance processes and operational frameworks in complex cross-functional environments. Advanced Excel skills and comfort working with BI tools and data teams. Benefits Fully remote work within European time zones; flexible working schedule. Direct exposure to senior commercial leadership and strategic business decisions. A role with real business impact - not a support function. High ownership and visibility across the organization. Ambitious and supportive team who love what they do, appreciate each other, and grow together. Internal programs for adaptation and training, development of soft skills, and leadership abilities. Partial compensation for participating in external training and conferences. Corporate prices on hotels and travel services. MyTime Day Off - an extra non-working day without loss of compensation. Learn more about our data protection practices in our Privacy Policy: https://emergingtravel.notion.site/recruitment-privacy-notice

Location: Los Angeles, USA Riot engineers bring deep knowledge of specific technical areas but also value the opportunity to work in many broader domains. As a Staff Machine Learning Engineer at Riot, you’ll also dive into projects that focus on team cohesiveness and cross-team goals. You’ll lead without authority and provide other engineers with a clear illustration of extraordinary engineering. Riot Games is building the next generation of its ML Platform to support AI and machine learning systems across game development, player experiences, and internal tools. We’re looking for a Staff Machine Learning Engineer to help design and scale the infrastructure powering a wide range of ML workloads and evolving AI systems across Riot. The ML Platform team builds and operates the shared infrastructure behind Riot’s AI ecosystem, including model serving, orchestration, feature management, and deployment workflows. Our goal is to help teams across Riot move ML systems from experimentation into reliable production services quickly and confidently. As a Staff Machine Learning Engineer on the ML Platform team, you will architect systems for model deployment, observability, and lifecycle management while helping shape the long-term direction of Riot’s ML platform. You will apply modern MLOps practices to improve reliability, scalability, and developer experience for teams building AI-powered products across Riot. You will report to the Engineering Manager. Responsibilities: Design and operate AI & ML inference infrastructure, including deployment pipelines and CPU/GPU-aware orchestration Develop CI/CD workflows that enable rapid iteration and safe promotion from development to production Optimize infrastructure supporting varied model architectures, from foundation models to gradient boosted trees, for high throughput, low latency, and high availability Establish and evolve ML deployment best practices, including multi-version models, blue/green rollouts, shadow deployments, and rollback strategies Improve developer experience by reducing operational complexity and simplifying platform onboarding Influence long-term platform architecture and help shape technical direction across Riot’s ML ecosystem Collaborate with researchers and game teams to understand product needs and build reusable platform capabilities Use modern AI-assisted development tools and workflows thoughtfully to accelerate iteration, while maintaining engineering quality and reliability Required Qualifications: 6+ years of experience in engineering, with time spent on ML/AI, platform or infrastructure teams Experience operating inference platforms such as KServe and production ML infrastructure including Feast, Milvus, or similar open-source systems Experience with one or more inference serving frameworks, including NVIDIA Triton/Dynamo, TorchServe, or similar systems Familiarity with GPU orchestration, performance tuning, and cost-aware scheduling Experience with CI/CD workflows, infrastructure-as-code (e.g., Terraform), and artifact management Experience building and operating services within distributed or service-oriented architectures Desired Qualifications: Experience building ML infrastructure within a real-time, or latency-sensitive environment Hands-on experience with optimizing ML & AI deployments (LLMs, diffusion models, etc.) for throughput, latency and reliability Familiarity with agentic workflows and orchestration frameworks for LLM-based systems Passion for player experience, game systems, or creative technology development For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about players' experiences, this could be your role! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: London Workplace: Hybrid Why Technology at loveholidays? At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away. Technology at loveholidays underpins our vision to become the most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset. Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology https://tech.loveholidays.com/ and adhere to our key technology principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this. The impact you'll have: As a Principal Engineer in the Boost team, you'll be part of a group of principal engineers who champion technical excellence. The team acts as an enabling function, not a delivery arm. You will embed in other teams to help them improve and work faster. You will be hands-on, leading by example, and coaching others to drive technical excellence and innovation across the company. Your success will be measured by how you help others succeed. Your responsibilities include: - Own the team's functional KPIs, defining the measurable outcomes that show our impact. - Help mission teams deliver faster, safer solutions by solving complex problems and training others to do the same. - Champion AI adoption, applying it to both engineering processes and solutions. - Coach our engineers, guiding their growth. - Build tools to make the Boost team more effective and improve platform governance. We are looking for a candidate with strong front-end skills. You will work across the various tech systems within our platform and be confident in your ability to quickly learn new technologies. We value an agile mindset, and a proven track record of delivery with teams. For a better understanding of our work, refer to some of our blog posts: - How loveholidays is solving the technical excellence paradox https://tech.loveholidays.com/how-loveholidays-is-solving-the-technical-excellence-paradox-933987956758 - Your AI Hates Your Prompts (And So Do You) https://tech.loveholidays.com/your-ai-hates-your-prompts-and-so-do-you-c05f59337b13 - Stop Chasing Ghost Errors: A Systematic Approach to Frontend Error Monitoring That Actually Works https://tech.loveholidays.com/stop-chasing-ghost-errors-a-systematic-approach-to-frontend-error-monitoring-that-actually-works-fe5e1c8790cc - Does website speed contribute to customers booking holidays online? https://tech.loveholidays.com/does-website-speed-contribute-to-customers-booking-holidays-online-f17bd696bc30 - Creating a Zero Surprises Culture https://tech.loveholidays.com/from-firefighting-to-foresight-a-new-culture-of-software-reliability-affcf565f9b3 Or our open source contributions: - github.com/loveholidays/ripley http://github.com/loveholidays/ripley - github.com/loveholidays/eval-kit https://github.com/loveholidays/eval-kit - github.com/loveholidays/po-test http://github.com/loveholidays/po-test - github.com/loveholidays/mcp-html-share http://github.com/loveholidays/mcp-html-share As part of our tech culture, we continuously improve our time to deliver, reduce errors, and generally leave things better than we found them. Your day to day: You will: - Embed in mission teams to solve hard tech problems, coaching engineers hands-on to instill our core engineering principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9. - Drive initiatives to apply AI to build better solutions and improve our engineering process. - Build tooling and processes to accelerate and enable our platform development. - Design and oversee impactful systems that run reliably at cloud scale. - Write and speak about our tech work to raise our engineering profile. Your skillset: - Experience with AI-powered feature development and leveraging AI tooling for software delivery, with enthusiasm for transforming how we build and deliver software. - Demonstrable history of working hands-on with engineering teams to solve complex technical challenges, building team capabilities and promoting sustainable practices. - Seasoned facilitator who excels at pairing with engineers, leading technical discussions, and helping teams navigate architectural decisions through practical, hands-on collaboration. - Ability to identify and scale successful technical patterns while connecting technical excellence to measurable business outcomes. - A track record of building and optimising scalable, high-performance websites. Perks of joining us: - Company pension contributions at 5%. - Individualised training budget for you to learn on the job and level yourself up. - Discounted holidays for you, your family and friends. - 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum. - Ability to buy and sell annual leave. - Cycle to work scheme, season ticket loan and eye care vouchers. At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey. The interview journey: 1. 1st stage interview with a member of our Talent Team 2. Introduction to loveholidays Engineering with our VP of Engineering (60 mins) 3. Presentation/Case Study with our VP and CTO (60 mins) 4. Technical interview with 2 of our Principal or Heads of Engineering (60 mins)

Location: London 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. DRW is looking for an outstanding Senior Software Engineer with an expertise in C++ and previous management experience to work in our London office. In this role, you will be a part of our Core Infrastructure team which is responsible for designing, developing and maintaining DRW's low latency trading platform which is deployed global.  You will be tasked with working on various areas of the technical stack including order routing, market data, and risk systems. To qualify for this role, you: Minimum of 5 years of experience working developing high-availability systems in C++ with very tight resource/latency constraints Have a background in multi-threaded programming and a strong understanding of hardware/software interaction Are comfortable working “under the hood” and you are quite skilled in performance tuning (applications, Linux, socket I/O, etc.) and troubleshooting Have experience working with C++ libraries like STL and Boost Are up to date on the C++23 standards and have opinions about them Have worked on challenging projects that involved things like building a custom compiler, writing a matching engine, or working with large amounts of data in real time Have had previous managerial responsibility Have strong English verbal and written communication skills Bonus points if you have: Experience working in the trading industry or another ultra-low latency sensitive business that involves solving remarkably complex problems Experience working with Research teams and Quants Experience working within gaming or streaming 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-MM1

Location: Tbilisi, Georgia Workplace: remote NovaKid is a global leader in online English education for children aged 4–12, serving 100000+ students across 50+ countries. We are looking for a Senior Growth Product Manager who is also an entrepreneur at heart, someone who can reinvigorate funnels while simultaneously prototyping and launching entirely new product experiences. We don’t just want someone to manage a roadmap; we want a "Growth CEO" who can reinvent the high-stakes journey from initial sign-up to the first "Aha!" moment and the first purchase. Your goal is to own the most critical window of the customer lifecycle: a potential customer experiencing our product for the first time and the subsequent choice to purchase a subscription. This includes the journey to the trial, the trial experience, the payment windows, the product mix, pricing and CRM control. We are looking for a candidate who applies CRO principles not just for incremental gains, but to prototype entirely new ways for parents to discover, experience, and purchase our services. What you’ll do Prototype, test and implement new funnel approaches. You won't just "tweak" the journey from a customer becoming a lead to making a purchase; you will review all flows to eliminate friction and shorten the time-to-value. You will expertly translate data to identify "leaks" in the funnel and turn those insights into high-impact product features. Design and test trial experiences and product mixes that deliver consistent “Aha moments” to more customers leading to significant sales boosts. You will own the conversion engine from sign-up to the completion of the trial. Activation journeys aren’t just about conversion. You will drive revenue by matching users with the right subscription tiers and value propositions. You will maximise upsell opportunities and ensure customers are matched with the optimal products to not only positively affect ARPU, but also boost LTV. Partner with diverse teams (Marketing, CRM, Operations) to align acquisition strategies with the highest-converting customer journeys. What you’ll have 5+ years of Product Management experience with a heavy focus on Growth, Activation, and CRO . You should have innate commercial intuition with a proven track record of successful product design. You possess elite skills in performance tracking and product analytics. You don't guess; you are able to dig into, manipulate, and present data to prove your prototypes work. Experience in managing international consumer products; you know how to adapt and reinvent funnels for diverse global markets. Manage the Agile process with our engineering team, ensuring that prototypes are delivered and scaled with technical excellence. You thrive in a 100% remote, distributed team environment and are a master of tools like JIRA and Slack. Excellent spoken and written English. What we  offer Fully remote work (core hours GMT+3). A chance to shape the future of AI-driven education. A fun, dynamic team that loves building innovative products.Unlimited holidays – because we trust you to deliver. Bonuses and stock options – we grow together.

Location: South Africa About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team. About the company Our client is a results-driven growth marketing agency specializing in scaling high-performance e-commerce and DTC brands. With over 30 years of combined experience and more than $500M in managed revenue, the team serves as a full-stack partner for over 150 brands globally. They specialize in high-impact strategies across paid ads, email marketing, SMS, and conversion rate optimization (CRO). By leveraging AI marketing infrastructure and robust data analytics, they move beyond cookie-cutter solutions to deliver custom, profitable growth tailored to each brand’s unique customer lifecycle. The team operates with a "no-fluff" mindset, prioritizing radical transparency, proactive communication, and measurable revenue boosts. Known for acting as a seamless extension of their clients' internal teams, they foster a collaborative and fast-paced work environment rooted in real-world operational expertise. This is an opportunity to join a scaling firm that values proactive problem-solving and technical innovation while maintaining a deep focus on design-led, performance-driven marketing results. Job Summary We are seeking a high-level, "athlete-mentality" SDR to join an elite growth agency with over 7 years of experience and $500M+ in managed revenue for e-commerce partners. This isn’t a role for someone looking to just "take a course"—we are looking for a hungry, competitive sales professional who thrives on outbound hunting. You will be responsible for sourcing and booking quality calls with high-revenue e-commerce brands, working directly alongside an established closing team. If you are driven by performance and eager to move into a Closer/Account Executive role, this is your path. Job Type: Full-time (8:00 AM – 4:00 PM MST) Key Responsibilities Execute high-volume multi-channel outreach including cold calling, cold email, and DMs. Qualified lead generation focusing on e-commerce brands doing $100K+/month in revenue. Manage and nurture the sales pipeline within GoHighLevel to ensure no lead falls through the cracks. Maintain a consistent output of 5–10 qualified booked calls per week. Achieve a 70%+ show rate through diligent follow-up and lead framing. Collaborate with the internal team to refine messaging and targeting based on market data. Requirements 2+ years of professional sales experience with a proven track record of hitting KPIs. Direct background in an agency or e-commerce environment (Must have both). High-level fluency in English with a professional, confident verbal tonality. Relentless "hunter" mentality; you are competitive, resilient, and motivated by high-commission environments. Proficiency in the modern outbound stack: Cold email (Instantly/Smartlead), CRM (GHL), and Lead Sourcing (Clay/Apollo). Ability to work 8 AM – 4 PM MST (South Africa timezone preferred). Nice-to-Haves Experience selling high-ticket marketing services (Email/SMS, Paid Ads, or CRO). Advanced skills in objection handling and personalized messaging at scale. Previous experience in a senior-level appointment setting role. Benefits 💰 Competitive base salary 📈 Uncapped 5% commission on all closed deals (First month revenue) 🚀 Clear progression pathway to Closer/Account Executive 🌎 Fully remote work environment 🎯 Performance-based incentives with OTE 🧠 High-growth culture with a focus on ownership and autonomy

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Building Infrastructure behind 5.5 Billion Daily Ad Requests The Cloud Engineering team is the core of our tech unit, the underlying infrastructure that every other team depends on to ship software and grow the business. Behind rewarded ad experience, the partner-facing dashboards, the ML pipelines, and the ad delivery systems serving millions of users daily, there is one team making sure it all stays online, performant, and cost-efficient. 400 million user events daily, traffic spikes of 150,000+ requests per second, and a data lake that feeds data scientists, BIs, and real-time ML inference across the entire ad stack. To handle this reliably and cost-efficiently, the team runs Kubernetes with event-driven autoscaling and Karpenter, manages Kafka clusters for real-time streaming, and provisions everything through Terraform. Rather than defaulting to managed AWS services, the team actively replaces them with open-source alternatives like Druid, Airflow, Grafana, Prometheus, Spark, Trino, MLFlow, Jupiter Hub, Elasticsearch, and Fluentbit as part of a deliberate move toward cloud-agnostic architecture. Cost efficiency is treated as an engineering constraint, not an afterthought, including AI-based anomaly detection on infrastructure costs. Your Mission & Who We Are Looking For: - 3+ years in DevOps, SRE, or Platform Engineering. You've designed and operated cloud infrastructure at scale, with hands-on experience deploying and managing containerized applications in Kubernetes. At adjoe, you'll be working across a stack that includes Kafka, Druid, Airflow, Spark, Terraform, and Gitlab running on Kubernetes clusters across data centers. - Deep in the AWS ecosystem. You have a strong understanding of AWS services (EKS, DynamoDB, SNS, SQS, IAM, Lambda) and manage infrastructure as code through Terraform. You know the tradeoffs between managed AWS services and open-source alternatives, and have opinions about when each makes sense. - Microservice event-driven architecture is your daily context. You understand how microservices communicate: topics, queues, object storage, and can support backend teams building high-performance Go services across distributed environments. - Reliable CI/CD is a product requirement. You build pipelines that are fast, predictable, and low-maintenance, ensuring smooth delivery without becoming a bottleneck. - Hands-on with emerging infrastructure. You're comfortable migrating existing workloads to self-hosted solutions as well as introducing new tools boost business results. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Boston Every great app out there deserves to be connected with the right users and the right revenue streams. And adjoe will give this to them. adjoe is redefining the future of mobile ads. Powered by advanced AI, first-party data and world-class engineers, we’ve perfected the offerwall experience for monetizing and scaling app publishers with solutions like Playtime and Arcade – now the fastest growing rewarded advertising channel globally – driving incremental engagement, retention, and revenue. At the same time, we’re breaking into programmatic advertising with the intelligent bidding system of adjoe Ads. Together, this ecosystem connects app developers to over 600 million users worldwide for scalable growth. Backed by a $100 million investment from Bertelsmann and operating from offices in Hamburg, Boston, Singapore, and Tokyo, adjoe is defining the next stages of app and ad experience – right now. Join us. Meet Your Team: Supply Growth At adjoe, we turn app publishers' potential into proven revenue. Our Publisher Accounts team combines adjoe’s deep technical expertise with strategic insight to optimize every aspect of creating engaging user experiences that drive monetization. We understand the delicate balance between user engagement and revenue generation, optimizing ad placements for visibility while ensuring a seamless app experience. Our publishers see concrete results: higher ARPDAU, improved retention metrics, and stronger overall user satisfaction and monetization performance. What You Will Do: - Manage and grow a portfolio of app publisher partners, driving mutual revenue growth and long-term success. - Build and nurture strong relationships with partners through consistent communication across Slack, email, and video calls. - Monitor and analyze key performance metrics (CPI, CPM, CTR, ARPDAU, etc.) to identify optimization opportunities and maximize results. - Develop and present performance reports, insights, and Quarterly Business Reviews (QBRs) to partners and internal stakeholders. - Collaborate cross-functionally with Product, Tech, and Business teams to address partner needs, troubleshoot issues, and deliver impactful solutions. - Identify upselling and optimization opportunities to increase partner engagement and revenue potential. - Translate partner feedback and market insights into actionable recommendations that help shape product improvements and strategy. - Take ownership of your portfolio performance, proactively driving initiatives to exceed growth and retention targets. Who You Are: - You have 2+ years of experience in AdTech, mobile advertising, or digital marketing. - You have a solid understanding of key industry metrics such as CPI, CPM, CPC, ARPDAU, CTR, and know how to leverage them to drive performance. - You’re an exceptional communicator and can clearly convey complex ideas to diverse audiences. - You bring strong analytical and problem-solving skills, with the ability to turn data into actionable insights and present to the partners in regular QBR meetings. - You’re proficient in Google Workspace, especially Sheets and Slides, and use them effectively to analyze data and present results. - You’re highly results-driven, motivated by achieving measurable outcomes and maximizing revenue. - You thrive in a fast-paced, dynamic environment where priorities can shift and agility is key. - You take full ownership of your work, proactively identifying opportunities and following through with impact. Fuel for the Journey: Benefits to Support Your Ambitions: - Work-Life Package: 2 remote days per week, 26 vacation days, 4 personal days, and initially 10 sick days, flexible working hours, 3 remote weeks (1 week at a time), office in the heart of Boston. - Future & Financial Health Package: Comprehensive medical, dental, and vision plans as well as 401K match program - Activity Package: Regular team and company events, bi-annual trips to HQ in Hamburg, Germany! - Education Package: Opportunities to boost your professional development with courses and training directly connected to your career goals - Free of charge access to our EAP (Employee Assistance Program) which is a counseling service designed to support your mental health and well-being We welcome applications from people who will contribute to the diversity of our company.

Location: Remote (USA) 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 data platform powers population health analytics for health plans, ACOs, and provider groups across the country. As a Lead Analytics Engineer — Data Modeling & Quality, you sit at the intersection of data quality ownership and analytical data modeling. You'll own the SQL and DBT layer that transforms raw clinical and claims data into trusted, production-grade datasets, while also serving as the quality authority for the data those models produce. This is a hybrid role — deeper SQL and DBT expertise than a traditional Data Health Professional, with a more analytical and model-focused scope than a Data Engineering role. You're less focused on pipeline infrastructure and more on the logic, shape, and trustworthiness of the data itself.   What Success Looks Like In 3 months Independently triage and resolve pipeline data quality issues Author at least one new DBT model or refactor an existing one to meet current modeling standards Understand the end-to-end pipeline from ingress through silver and gold, and be able to trace a data quality issue to its root layer In 6 months What You'll Be Doing DATA MODELING & DBT DEVELOPMENT Author, review, and maintain DBT models using Spark/Hudi from ingest through bronze and silver Help clients understand their data model, assumptions, and limitations through intentional validation Troubleshoot and fix issues, then write DBT tests to catch issues proactively Optimize SQL performance for slow-running jobs Partner with Data Engineering on table design, partition strategy, and incremental patterns DATA QUALITY OWNERSHIP Triage and classify data quality alerts, distinguishing source-level issues from transform-layer failures Design and maintain volume monitors and DQ monitors (null rate, distribution, future-date checks) Author and apply clinical DQ rules (entity volume, field coverage, LOINC coverage, referential integrity) and claims validation rules across silver and gold layers Conduct quality reviews for connector promotions — evaluating silver entity coverage, validation rule pass rates, and bronze-to-silver transformation correctness Own the ticket queue for DQ, attribution, hierarchy, and customer-specific data quality issues, writing clear customer-facing findings CROSS-FUNCTIONAL QUALITY COLLABORATION Lead data quality reviews during connector installation and promotion (UAT → PRD), including claims validation playbooks and null analysis Partner with Data Engineering on root-cause triage for errors, ingress anomalies, and silver table issues surfaced through data quality monitoring Coordinate with the Measure Implementation Team (MIT) when data quality issues affect quality measure scores Contribute to and enforce data modeling standards across teams TECHNOLOGIES Data modeling: DBT-Spark, SQL, Claude Warehousing: Amazon Redshift, Apache Hudi, AWS Athena Data quality: volume/DQ monitors, DBT tests Orchestration: Argo Workflows, Airflow Source control: Git / GitHub, PR-based review workflows Observability: Grafana, Jira Healthcare data: Claims (plan/professional/pharmacy), EHR (clinical entities), MPI What You'll Bring Education: Bachelor's or Master's degree in Computer Science, Statistics, Business, Economics, or a related field Experience: Advanced SQL: window functions, complex CTEs, aggregation patterns, performance tuning on columnar databases DBT: hands-on experience authoring models, tests, macros, and yml documentation; familiarity with incremental strategies Healthcare data literacy: working knowledge of claims data (professional, institutional, pharmacy), clinical data (EHR entities), and common quality dimensions (member months, coverage rates, null patterns) Data quality mindset: ability to differentiate source data issues from transform issues, design systematic validation checks, and communicate data quality findings clearly Skills: Clear communicator — able to translate technical findings for clients and non-technical stakeholders Strong analytical judgment — you can look at a distribution and know when something is wrong Ability to manage several projects simultaneously, leveraging AI tooling to stay organized and efficient Genuine desire to learn and apply AI tools for operational efficiency Would Love For You To Have Experience with Spark SQL and Hudi table format Familiarity with data quality monitoring tools Comfortable operating in an AI-first environment using Claude to build/verify various day-to-day workflows Exposure to population health analytics concepts: HEDIS measures, risk adjustment, value-based care metrics Python scripting for data investigation and automation Experience with Argo Workflows or similar orchestration platforms Healthcare data standards: ICD-10, CPT, NDC, LOINC, NPI What You'll Get Work alongside a talented team on some of the most complex and rewarding challenges in healthcare data Flexible, fully remote work environment with the resources and support to do your best work Exposure to senior leaders Be on the front lines of AI adoption — use cutting-edge tools to accelerate your work and shape how the team operates in an AI-first environment Make a meaningful impact on healthcare data operations by improving the quality, reliability, and trustworthiness of data that drives patient care decisions Be a part of a mission driven company that is transforming the healthcare industry Become a member of the talented, energized, diverse and purpose-driven Arcadian 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: Paris Workplace: Remote ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. TEAM Our Gaming team is made up of hybrid-casual, casual, and mid-core experts. Our 'Core' games team supports internal and external studios worldwide in creating, developing, and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games. Joining our Live games team means collaborating with gaming industry experts on globally renowned, enduring games while embracing exciting new entrepreneurial ventures. With over seven billion downloads worldwide and a portfolio of more than 10 resilient hybrid games generating more than $20m per year, we are the world's largest and most successful hybrid publisher. You will be joining one of our Live Studios, working on Paper.io http://Paper.io 2. We're a small team of excellent people who take care of everything from ideas to testing, and we intend to grow while maintaining our high standards. ROLE - Support the Art director in the ideation and execution of the game’s vision. - Develop and optimize UX flows of new and existing features. - Create and maintain a comprehensive UI Style Bible and reusable component libraries. - Create high-quality 2D assets (menus, HUDs, buttons, icons, etc) and ensure optimal performance across mobile devices. - Work with Game Designers and the Product Team to ensure UI supports gameplay and accessibility goals. - Iterate quickly based on team feedback and live user data. - Propose creative ideas to boost player engagement and improve the user experience. - Nice to have: experience designing and implementing high-quality, scalable UI systems in Unity. PROFILE - 4+ years experience as a UI/UX Artist on shipped mobile games. - You must have experience designing in Figma. - Excellent design skills, with a keen eye for visual hierarchy, composition, and readability. - A keen eye for emerging mobile game trends with the ability to creatively deconstruct and learn from success cases. - Ability to design, document and execute a consistent UI visual language. - Experience collaborating with cross-functional remote teams. - AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work - Fluent in English. BENEFITS - Best-in-class compensation - Other benefits according to the country you reside