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Location: Remote - US About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. We’re seeking a Senior Manager, Site Reliability Engineer to join our team and help ensure the stability, scalability, and reliability of Backblaze production systems. About the Role We are seeking an experienced Senior Manager to lead within our Site Reliability Engineering (SRE) organization. The ideal candidate brings deep experience developing engineering strategies, leading high-performing technical teams, and translating reliability priorities into measurable outcomes. As a leader at Backblaze, you will work across the organization to help achieve our reliability and operational goals, including partnering with engineering leaders, executives, customers, and other key stakeholders. This role will focus on unlocking the potential of our engineers through observability, automation, operational excellence, and continuous improvement. What You'll Do Hire, lead, mentor, and develop a high-performing team of Site Reliability Engineers, including coaching, career development, and performance management. Manage other engineering managers as required and help develop leadership capability within the organization. Establish team goals, objectives, and reliability priorities, ensuring commitments are delivered or expectations are proactively reset when circumstances change. Collaborate with engineering leaders across Backblaze to define strategic priorities and execution plans. Develop and improve automation that accelerates the deployment of new storage vaults, core servers, and supporting infrastructure. Own and improve vulnerability management and patching schedules to ensure contractual, operational, and security requirements are met. Drive complex reliability initiatives from problem discovery through implementation and resolution. Partner with engineering teams to improve observability, monitoring, and alerting and provide meaningful insight into the health and performance of Backblaze infrastructure. Lead analysis of SLA and reliability performance, identify areas of risk, and drive corrective actions. Participate in leadership on-call rotations, major incident response, and post-incident reviews to continuously improve service reliability. Provide leadership during incidents and ensure root cause analyses, corrective actions, and follow-up work are completed effectively. Apply established ITIL and operational processes across incident, change, problem, and capacity management. Partner with Engineering, Customer Success, Product, and Operations teams to support resilient system design and reliable production operations. Engage with customers to understand their reliability needs and ensure stability priorities reflect customer experiences and business requirements. Work with vendors and service providers to troubleshoot service issues and monitor SLA performance. Lead cross-functional initiatives to identify gaps in observability, operational processes, reliability, and infrastructure management. Identify recurring operational issues and develop long-term strategies and action plans to address them. Document systems, share learnings, and promote a reliability-focused engineering culture across Backblaze. The Right Fit 10+ years of experience in site reliability engineering, systems engineering, infrastructure, or production operations, including significant engineering leadership experience. Demonstrated experience building, managing, mentoring, and developing high-performing technical teams. Experience leading reliability or infrastructure organizations operating large-scale, production-grade systems. Strong understanding of deploying and managing large fleets of Linux hosts, with a strong emphasis on automation. Strong knowledge of observability and monitoring technologies such as VictoriaMetrics, Prometheus, Grafana, OpenSearch, or comparable platforms. Experience establishing operational procedures, runbooks, incident processes, and reliability practices at scale. Strong understanding of storage systems, including storage performance, sharding, distributed architectures, and storage algorithms. Understanding of load-balancing technologies and services, including IPVS or comparable technologies. Experience managing security-focused infrastructure operations, including patching, hardening, vulnerability identification, and remediation. Demonstrated ability to lead major incidents and post-incident processes, including root cause analysis and corrective action planning. Experience using automation and AI-assisted technologies to improve engineering productivity, system performance, operational efficiency, or scalability. Ability to independently take ownership of complex problems and drive initiatives from discovery through resolution. Strong communication and collaboration skills, with the ability to work effectively with engineers, executives, customers, vendors, and cross-functional stakeholders. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Bonus Points For Experience operating infrastructure at hyperscale or within a hyperscaler environment. Experience in SaaS, cloud infrastructure, service provider, storage, or large-scale distributed systems environments. Experience with object storage or other large-scale storage platforms. Familiarity with ITIL or OSS operational practices. Experience defining, managing, and improving SLOs and SLAs. Experience with AWS, Google Cloud Platform, Microsoft Azure, or other major cloud platforms. Experience leading teams through significant infrastructure scaling, reliability, or operational transformation initiatives. Backblaze Perks Equity grants for eligible full-time employees. Annual company bonus program. Medical, dental, and vision benefits for eligible employees and family members. 401(k) program. Employee Stock Purchase Plan. Flexible vacation policy. Parental leave benefits. MacBook Pro and workstation support. Childcare support. Fertility treatment and family-building support. Learning and development opportunities. Commuter benefits where applicable. A culture that supports a healthy work-life balance. To provide greater transparency to candidates, Backblaze shares base pay ranges for U.S.-based positions. Compensation ranges are established based on factors including function, level, and location. Final offers may vary based on candidate location, relevant experience, skills, and applicable licenses or credentials. The expected salary range for this role is $178,000 - $210,000. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

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. The UP - Analytics - Middle Office team is looking for an outstanding Quant Developer with diverse technical and interpersonal skills to join us in the next step of our development as we significantly expand our technical capabilities, enabling us to have an even greater impact across the firm. This team build and maintains services which: Calculate analytic measures across many asset classes Predict theoretical market outcomes based on user-defined what-if scenarios Return analytics for any time horizon We collaborate closely with risk managers and trading desks to measure option and rate sensitivities and create applications to monitor, manage, and report analytic measures. We’re looking for talented software engineers with proven experience in the trading and finance industry. Responsibilities: Partner closely with stakeholders and quantitative teams to design and implement complex financial modeling solutions Leverage your expertise in finance and quantitative analysis to architect robust, scalable analytics systems Write readable and well-tested code in multiple languages, paradigms, and platforms Collaborating with various business, development, IT, and trading support teams Provide on-call support as part of our team-wide rotation Keep open communication with our users for support, testing, and ensuring understanding of their needs Qualifications: Experience using applied mathematics (linear algebra, optimization, numerical methods) Strong understanding of statistics and probabilities Quantitative modeling of financial products and derivatives Fluent in functional, object-oriented, or imperative programming languages Competent in distributed version control, CI/CD, Docker, and Kubernetes Familiarity with: One of the following programming languages: Elixir, Python, Java, C# One systems level programming language: C, C++, Rust Pricing, risk management, and portfolio analytics Exchange-traded financial assets, statistics, or financial engineering Data structures and design/analysis of algorithms Personal traits: Possesses the ability to learn, adapt and grow Demonstrates personal humility, respect for others, and trust in their teammates Capable of independently driving projects to completion but prefers collaborating with teammates Excellent problem-solving and debugging skills, but has better listening and communication skills 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-SH1

Location: Hong Kong or Remote Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong or Remote Type: Full Time The Role As a ML Researcher at Nex, you will develop new machine learning models and algorithms that push the boundaries of computational perception and interaction on Nex Playground. You will join a small, deeply technical team that combines research and engineering to solve complex problems in sensing, understanding, and multimodal interaction. The ML Research role emphasizes rapid experimentation, exploring new ideas and methods to expand what our platform can sense, understand, and respond to. You will work within the ML Research group, collaborating closely with ML Engineers who build the infrastructure that accelerates your research. This role is ideal for researchers who want to see their work directly impact product capabilities while maintaining a focus on cutting-edge innovation. The Mindset You are driven by curiosity and technical discovery. You see research as a systematic process of exploration and validation, not just theoretical work. You balance scientific rigor with practical impact, knowing that the best research solves real problems. You thrive in a team that values experimentation velocity and measurable technical improvement. What You’ll Do Develop novel ML models and algorithms for computational perception and interaction Design and execute rapid experiments to validate new ideas and methods Explore advancements in computer vision, audio processing, sensor fusion, or related domains Collaborate with ML Engineers to integrate research outcomes into training pipelines and production systems Measure and track experimentation velocity, the number and quality of validated experiments per quarter Contribute to research planning and help define the technical roadmap alongside the Engineering Manager and Tech Lead Document research findings and communicate technical progress to the broader team Must Have 2+ years of hands-on ML research experience in industry, academia, or research labs Demonstrable track record of designing and conducting ML experiments from hypothesis to validation Proficiency in Python for ML research and experimentation Deep expertise with PyTorch or TensorFlow for model development Experience training and evaluating ML models on real datasets Understanding of model evaluation metrics, experimental design, and statistical validation Familiarity with data preprocessing, augmentation, and management for ML workflows Experience presenting research findings to technical audiences Nice To Have Expertise in real-time inference, model optimization, or efficient architectures Experience with self-supervised learning, few-shot learning, or foundation models Background in multimodal learning combining vision, audio, and sensor data Contributions to open-source ML projects or released research code Experience collaborating with engineers to productionize research outcomes Familiarity with ML Engineering practices: training pipelines, experiment tracking, MLOps Background in edge computing, on-device ML, or resource-constrained environments Experience with sensing technologies: cameras, microphones, IMUs, or haptic systems Knowledge of privacy-preserving ML, federated learning, or on-device data processing We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: Istanbul, Turkey P.I. Works is the first company in the world to automate the management of a commercial 5G network. Our automated network management products and services empower Mobile Operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across 91 mobile network operators in 64 countries around the world. Come and join us to work with the leading telecom operators around the world and redefine the mobile experience worldwide by contributing to our research and development efforts. What you will have An opportunity to work with some of the brightest minds in the Software & Telecom industry. Hands-on opportunities to learn from the best and put your knowledge and skills to work A mentor to help you build and develop your potential A friendly, open, and collaborative environment that thrives on learning and practicing Paid internship opportunity Key Responsibilities Collaborate with the product team to design and develop prototypes of innovative telecommunication solutions and next-generation features. Conduct in-depth data analysis and perform validation of algorithms and models to support Product Owners in making informed decisions. Handle data ingestion, movement, transformation, and ETL processes to enable effective product design and feature prioritization. Create compelling data visualizations using the most appropriate tools; interpret and clearly communicate the statistical insights and underlying stories to stakeholders. Required Qualifications & Skills Currently pursuing a Bachelor’s  degree in one of the following fields: Telecommunications Engineering, Computer/ Software Engineering, Artificial Intelligence Engineering, Control & Automation Engineering Practical experience in programming and scripting (Python and/or C# preferred) Hands-on experience with data collection, data processing / cleaning, and data visualization Strong proficiency in SQL (writing queries, data extraction, and analysis) Fluent in English, both written and spoken, with the ability to actively participate in technical discussions and meetings Strongly Valued (Advantages / Nice-to-have) Practical knowledge or project experience in machine learning / AI model development Familiarity with Large Language Models (LLMs) and Intelligent Agents Solid understanding of statistics and strong data visualization skills Previous exposure to or working experience in the telecommunications domain Apply today and unlock your potential!

Location: San Francisco, CA; Sunnyvale, CA Workplace: Hybrid ABOUT NIANTIC SPATIAL We are building for the >80% of economic activity that happens beyond the reach of screens. AI has learned from the text, images and video online, but it still lacks an accurate understanding of physical space. That’s one of the biggest unsolved problems in AI, and it’s the one we’re solving at Niantic Spatial. We build spatial AI models and services so people and machines can reason, learn and act safely in the physical world. We turn camera imagery, video, sensor data and archives into accurate, AI-readable representations of real places that robots can train in and machines can use to know exactly where they are. In physical AI, mistakes have real consequences. That’s why we build AI grounded in measured reality, not guesswork, so the people and machines relying on it can trust it to get things right. Our team built some of the world’s most widely used maps. Now we’re building something bigger: a living, measured record of the real world that machines can query, learn from and use to understand how places change over time. If you want to help AI understand the world we actually live in, come build with us. THE OPPORTUNITY As a staff member of the Map Team, you’ll own and drive significant parts of our Reconstruction and/or Localization technologies. You will be responsible for building the Map representing a living geospatial world model that can be simultaneously used to generate a high-fidelity 3D representations via Gaussian Splatting and Meshing, as well as the centimeter-level accuracy Visual Positioning System (VPS) that allows people and robots to explore the real world. This is an individual contributor role with a strong component of technical leadership where you will mentor other engineers and influence the technical roadmap. WHAT YOU WILL DO - Technical Leadership: Lead the design and implementation of some of our core technologies, namely, Structure from Motion (SfM), Feed Forward and Foundational models, and high-fidelity 3D Reconstruction (e.g. meshing, gaussian splats). - Applied Research: Up to speed state-of-the-art in relevant areas to be able to invent novel solutions in VPS and/or 3D Reconstruction alongside the team. - System Architecture: Design, develop, and maintain scalable production-grade Computer Vision systems that power Niantic Spatial’s VPS, 3D Reconstruction and 3D Mapping pipelines. - Algorithm optimization and production implementation: develop and optimize algorithms, train models, for high-accuracy and high-performance execution on CPU/GPU on the cloud or device as part of a reliable production system. - Quality & Benchmarking: Drive decision-making creating high quality data that allows the accurate spatial grounding of AI queries with structural, semantic and location specific knowledge. - Technical Strategy & Mentorship: Work with engineering leadership to define the technical roadmap and quarterly objectives for the Applied CV Team; provide high-level mentorship and code governance to elevate the team’s technical bar. - Cross-Functional Delivery: Collaborate with Product, Research, and Operations teams to ensure that state-of-the-art Computer Vision solutions translate into delightful user experiences. WHAT WE ARE LOOKING FOR - Years of Experience: 7+ years of professional experience in Computer Vision, Machine Learning, or a related field (or 4+ years with a PhD in a relevant domain). - Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field; Master's or PhD preferred. - Core Technical Skills: Strong proficiency in Python and/or C/C++. - Specialized Expertise: Proven experience in both classical and learned-based 3D Computer Vision and ML. - Full SW lifecycle experience: Demonstrated experience in taking research into production at scale. - Technical Leadership Experience: Previous experience tech leading computer vision projects. COMPENSATION & BENEFITS The expected salary range for this role is $256,500 – $315,000 per year. Compensation also includes an annual bonus, equity, and a comprehensive benefits package including medical, dental, and vision coverage, 401(k), and more. LOCATION & WORK MODEL This role is based in our San Francisco or Sunnyvale office, with three days per week in office. INCLUSIVE APPLICATION We know the strongest candidates don't always tick every box. If you're excited about this role and believe you could do it well, we encourage you to apply even if your experience doesn't match every qualification listed — you may be exactly who we're looking for. EQUAL OPPORTUNITY Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process. CANDIDATE PRIVACY I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial's Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice.

Location: Remote - European Region Workplace: hybrid Coinspaid Dev is the engineering brand behind the technology, infrastructure, and R&D expertise built within Coinspaid. With more than 120 engineersand over 11 years of industry experience, Coinspaid Dev brings together software engineering, infrastructure, security and R&D teams with experience building distributed systems and blockchain infrastructure operating across more than 20 blockchain networks. Coinspaid Dev emerges as an independent engineering brand with a straightforward mission: to advance blockchain infrastructure engineering and contribute practical expertise back to the industry. The structure is new. The experience behind it is not. Responsibilities: Write robust, scalable, and reusable Golang code according to requirements Cover code with unit tests. Work together with QA engineers to ensure high, consistent code quality Perform code reviews, help teammates with solving technical problems Troubleshoot issues where needed Participate in requirements and implementation discussions Ensure stable operation of the product through monitoring, alerts and metrics Develop applications to work in an isolated infrastructure, complying with security standards Work only with the backend, solve complex algorithmic problems related to fintech Communicate clearly with the team about technical directions and product goals Promote knowledge sharing across the team Requirements: 3+ years of experience with Golang as a primary working language and 5+ of overall development experience Experience with queues Kafka/NSQ/NATS/ Rabbit Comfortable working with Docker, Kubernetes, good understanding of CI/CD (we use ArgoCD and Gitlab) Experience with MySQL or similar DBs Experience with software engineering best practices (e.g. unit testing, code reviews, design documentation) Experience with Scrum Understanding of software observability tools - Prometheus, Grafana, ELK, Opsgenie Experience in training and onboarding engineers (will be as plus) Skilled in assessing technical skills and knowledge via code reviews, peer evaluations Nice to have: Experience in training and onboarding engineers Experience mentoring junior and mid-level developers, offering coaching, feedback, and support for their career growth. Understanding crypto industry Take part in interviews Why join CryptoProcessing by Coinspaid You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact. At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so. We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work. Flexible Benefits Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses. Work & Flexibility Fully remote work from almost anywhere Optional offices and relocation support Flexible, async-friendly environment Growth & Learning Budget for courses, certifications, and professional development Language learning support Cross-team learning and knowledge sharing Wellbeing & Support Medical insurance or reimbursement depending on location Access to mental health support Financial support for important life events Extras Merch shop with rewards system Team offsites and company events Sounds good? Well then, we can’t wait to see your resume! To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/

Location: Sliema, Malta 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 As a Senior Business Analytics Manager, you'll use data to strengthen Compliance across three priorities: Trusted Data, Growth Enablement, and Proactive Risk Prevention. You'll help ensure that regulatory reports, audit responses, and legal evidence are reliable, traceable, and reusable, while transforming customer, transaction, and financial data into actionable insights. You'll partner with Compliance, Product, Engineering, Data Science, and Business teams to build trusted data foundations, automate recurring requests, and create metrics that reveal operational effectiveness and compliance friction. You'll also conduct root cause and control-gap analysis, help remove compliance-related business roadblocks, support market and licensing initiatives, and surface risks before they are identified externally. What You'll Be Doing: Facilitate and govern internal and external data requests across OKX global entities, ensuring timely, first-time-right delivery for regulatory reporting, audits and exams, and legal evidence. Build and maintain request records, evidence and definition libraries, and data-governance records to improve data reliability, traceability, and reusability. Productize high-frequency recurring requests into automated or self-service data pipelines, improving turnaround time and cost efficiency. Build and automate Compliance dashboards based on North Star metrics as well as input and guardrail metrics to provide transparency into operational effectiveness, customer and platform risk, and business friction. Conduct deep-dive, root-cause, and control-bypass analyses to proactively identify and prevent compliance risks. Partner with Compliance, Business, Marketing, and local market teams to remove compliance-related roadblocks in current operations and support new markets, licences, applications, and market-access assessments. Collaborate across Product, Engineering, Data Science, and Finance to continuously improve data pipelines and analytics products. What We Look For In You: Relevant working experience of at least 7 years. (must) Proficiency in database management systems like MySQL, SQL Server, Oracle, or PostgreSQL. (must) Ability to work independently and collaboratively in a fast-paced environment. (must) Strong problem-solving skills and attention to detail. (must) Hands-on experience with machine learning algorithms and AI tools. (nice to have) Strong compliance domain knowledge, including KYC, AML, the Travel Rule, insider trading controls, and regulatory requirements across jurisdictions. (nice to have) Experience supporting regulatory reporting, regulatory examinations, and internal or external audits. (nice to have) Preferred industries are Fintech, Digital Payment, Tech companies. (nice to have) 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 dependents 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: Serbia; Cyprus; London, United Kingdom; Amsterdam, Netherlands; Singapore; Georgia We are looking for a Head of ML / Head of Quant Research to take full ownership of developing and scaling machine learning trading strategies in crypto markets (Spot / Perpetuals). You will take over a live, operating production ML trading system with existing Capital Under Management and lead a dedicated research team. Key Responsibilities Full Ownership: Take complete control of the research pipeline, model architecture, signal generation, and risk limits. Alpha Generation: Design, backtest, and deploy new profitable ML models and quantitative trading strategies. Execution & Scaling: Optimize execution algorithms, refine live strategy performance, and scale capital under management. Leadership: Lead, mentor, and grow a team of quant researchers and developers. Requirements Education & Mathematical Background: Degree in CS / Math / Data Science from a top-tier university (MIPT, HSE, MSU, SPbSU, ITMO, YSDA, or international equivalents). Strong foundation in probability, statistics, linear algebra, and algorithms. Tech Stack & Hard Skills: Python (NumPy, Numba). PyTorch or JAX (for the ML track) OR advanced backtesting/quantitative modeling frameworks (for the Quant track). Proven track record of developing profitable ML models or quantitative trading strategies in production. Nice to Have: Experience in crypto/HFT/algorithmic trading (Order Book dynamics, L2/L3 data, funding rate arbitrage, liquidations). Proficiency in C++ (reading, profiling, and optimizing performance). Competitive programming / Kaggle achievements (IMO, IOI, ICPC, Codeforces, Kaggle Master/GM) or top-tier publications (NeurIPS, ICML, ICLR). English: A2+ (Internal team communication is in Russian; fluent spoken English is not required). Benefits Competitive fixed salary. PnL share (individual agreement). Direct influence on risk limits, capital allocation, and research roadmap. Remote work or office in Serbia, official contracting via Dubai / Serbia.

Location: Remote (Canada); Remote (US) 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 CAPITAL MARKETS TEAM Capital Markets is responsible for the company’s financial markets facing businesses including daily trading operations, opportunity identification and growing those business lines. As Wealthsimple’s interface to the markets we are ultimately responsible for the execution of all the firm’s orders both on behalf of our clients and the company’s own trading activities. In order to accomplish this we work closely with and partner with functions across the company. ABOUT THE ROLE As a Quantitative Trader at Wealthsimple, you’ll be conducting research and building models that describe how the markets behave, turn that research into algorithms and business insights to produce an edge for our clients and the company. You will also manage the daily trading operations of those systems. In this role you will have the opportunity to apply the theoretical, coming up with ideas, simulating to prove a thesis, validating with real world results and dynamically responding to changing conditions. We’re looking for self-starters who are excited about the prospect of building a new function, defining new tools and pipelines and ultimately owning the outcomes. WHAT YOU'LL DO - Build quantitative models that describe and predict how markets move; this will involve conducting research and understanding liquidity profiles, price movement and market microstructure. - Model the characteristics of order flow, including flow toxicity, classification of activity, to inform and optimize routing, execution and risk decisions. - Develop trading algorithms to programmatically decide how orders are generated and routed, and work alongside engineers to deploy those systems into production. - Manage the daily trading operations of our algorithmic trading systems. - Respond to changing market conditions to ensure algorithms are placing orders optimally. - Design and maintain simulation frameworks to validate algorithm performance against historical data. - Partner cross-functionally with engineering, data science, operations and product teams. SKILLS YOU BRING - 3+ years of experience in quantitative trading, quantitative research, algorithmic trading development, or a closely related capital markets role - STEM degree from a leading institution - Excellent Python scripting - Solid foundation in statistics, probability, stochastic processes, and quantitative methods - Understanding of Canadian equity market structure - Familiarity with low-latency trading technologies and methodologies - CIRO-registered as a trader is an asset WHO YOU ARE - You take ownership, and want to directly drive outcomes. You will come up with the ideas, prove those ideas out, get them implemented and be responsible for how they run day in and day out. Holding yourself accountable for the results. - You are data driven and methodical. You are comfortable working with statistics and will follow the numbers, not force them to conform to a thesis. - You like to understand the full system, if something does not align with your mental model you will ask questions and dig in. - You have a passion for financial markets, including news-moving items, financial engineering, various assets, market microstructure and the technology that enables markets. - You can communicate complex concepts clearly, and are adept at adjusting based on your audience. 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: Germany On behalf of HealthTech Client #3 , SD Solutions is looking for a highly skilled and motivated Sales & Business Development. This is first Company's hire outside Israel and the US. You will build the German market from zero. You will own the go-to-market plan for Germany, not just execute a plan handed to you. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: This is a hybrid, hands-on role spanning sales, customer success, marketing, and procurement strategy. The Company is looking for an entrepreneurial, self-driven builder who will: open the market through direct hospital engagement and reseller partnerships land the first customers lay the foundation for the product's growth in the region You will bring commercial curiosity, strong execution skills, and practical experience with advanced AI tools, intelligent agents, and AI-assisted development. What You Will Do: Shape and execute the go-to-market plan for Germany by identifying priority segments, target accounts, relevant use cases, and effective routes to market. Build qualified pipeline through targeted outbound prospecting, referrals, events, and partner introductions. Engage healthcare executives and operational, clinical, IT, and procurement stakeholders. Lead discovery to understand customer needs, hospital procurement cycles, and buying processes. Develop a procurement strategy for each opportunity, structuring pilots and deals to move efficiently through hospital purchasing processes. Build relationships with resellers, partners, and distributors, support their enablement, and turn joint account plans into qualified opportunities. Develop pitches, demonstrations, and business cases with the Solutions and Product teams. Advance opportunities toward commercial agreements with the Director of Sales EMEA. Drive local marketing: events, content, LinkedIn presence, and messaging tailored to the German healthcare market. Support early customer success: make sure pilots are delivered well, turn them into full contracts, and coordinate handoffs with Solutions and Customer Success. Use AI tools and intelligent agents (e.g. Claude, ChatGPT) for market research, account preparation, outreach personalization, and workflow automation. Use vibe coding tools (e.g. Lovable, Base44) to build simple demo prototypes and internal sales tools. Maintain accurate CRM records (Salesforce) and forecasts, track pipeline and commercial targets, and share market feedback with the team. Travel regularly, approximately 30–40% (up to 50%+ for candidates based outside Germany), for customer meetings Requirements: 1–3 years of B2B sales or business development experience, with evidence of generating qualified opportunities and advancing them toward commercial outcomes. Experience in healthcare, health-tech, medtech, medical devices, or clinical operations is strongly preferred but not a hard requirement. You should be able to understand operational challenges. Familiarity with hospital procurement cycles and reseller/distributor networks. A practical understanding of go-to-market strategy, customer segmentation, positioning, and market entry. Hands-on proficiency with advanced AI tools (Claude, ChatGPT, Lovable, Base44 or similar), including building or configuring intelligent agents and using vibe coding to create prototypes or automate tasks. Be ready to share concrete examples. Salesforce proficiency (primary CRM). Experience with HubSpot, LinkedIn Sales Navigator, and sales intelligence tools is a plus. Fluent German and strong business English. Strong communication and presentation skills, with the ability to build credibility with senior stakeholders and work independently in a growing startup. A hungry, creative, initiative-taking startup mindset, comfortable building from scratch with limited structure. Location: based in Germany is strongly preferred. We will consider candidates in neighboring countries (e.g. France, Switzerland) who bring strong German market connections and are willing to travel 50%+. Advantages: Sales or market development experience in Germany/DACH or wider Europe. Experience working with partners, resellers, or distributors to generate and progress business opportunities. Familiarity with German healthcare buying processes and tender regulations. Experience working with Israeli startups or international teams, and an existing network in European healthcare. About the company: An AI-driven startup focused on optimizing healthcare operations. The platform applies artificial intelligence, network science, and advanced optimization algorithms to help healthcare providers improve planning, scheduling, and operational efficiency — enabling better patient care through smarter resource management. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

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: 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: Remote Workplace: Remote We are looking for an experienced Senior Game Mathematician to take a leading role in developing mathematical models for an in-house slot game portfolio. The position combines advanced game mathematics, statistical modelling, and simulation with the opportunity to influence the technical foundations of math development. Beyond creating and balancing game mechanics, you will contribute to the evolution of internal simulation tools and mathematical frameworks, working closely with game designers, producers, and engineers. Responsibilities - Take full ownership of slot game mathematics, developing models from initial game concepts through balancing, testing, and regulatory certification - Create and fine-tune mathematical configurations for different slot formats, including reel-based, ways/Megaways, cluster pays, grid games, jackpots, and feature buy mechanics - Define and optimize key game parameters such as RTP, volatility, hit frequency, maximum win, payout distribution, and bonus contribution, ensuring alignment with gameplay and product objectives - Develop and adjust reel strips, paytables, symbol distributions, free spins, multipliers, cascades, bonus features, and progressive mechanics, including multiple RTP configurations and ante bet options - Perform large-scale Monte Carlo simulations, validate theoretical and simulated RTP, and evaluate statistical reliability through variance analysis, confidence intervals, and convergence testing - Prepare mathematical documentation, including PAR sheets, RTP calculations, and supporting materials required for independent testing and certification - Contribute to the design and continuous improvement of an internal math development and simulation framework, participating in architectural discussions, technical reviews, and implementation - Evaluate live game performance data, identify potential improvements, and provide mathematical recommendations for existing and upcoming releases - Partner with producers, game designers, and developers to assess new mechanics, balance gameplay experience, and address mathematical or technical risks - Help establish consistent math development standards, share technical knowledge, and support the professional growth of other mathematicians Requirements - 5+ years of professional experience in slot game mathematics within a game provider or development studio, rather than an operator - Track record of at least 10 commercially released slot titles, preferably including games with demonstrated market success - Extensive knowledge of probability, combinatorics, and statistical modelling, with the ability to apply these principles to complex slot mechanics - Proven ability to build complete mathematical models around defined targets, including RTP, volatility, hit rate, maximum exposure, payout distribution, and feature contribution - Practical expertise in balancing different slot formats and mechanics, including Megaways, cluster pays, grid slots, bonus buys, jackpots, free spins, multipliers, and cascading features - Strong understanding of reel and paytable configuration, bonus buy and ante bet mathematics, and multiple RTP variants, with the ability to balance feature frequency, payout sizes, and overall player experience - Advanced experience in mathematical validation and high-volume simulations, including analytical RTP verification, Monte Carlo methods involving billions of spins, variance analysis, confidence intervals, and convergence assessment - Familiarity with gaming certification standards and testing procedures, including requirements associated with GLI, BMM, eCOGRA, iTech Labs, and preparation of mathematical reports and PAR sheets - Ability to independently manage mathematical development throughout the complete game lifecycle, from initial design to final certification - Degree in Mathematics, Applied Mathematics, Statistics, Physics, or a related discipline, preferably at Master's level or above - Previous involvement in building or improving proprietary slot math engines or simulation frameworks - Knowledge of mathematical optimization techniques, including genetic algorithms, simulated annealing, and linear programming, for automated adjustment of reels and paytables - Experience designing mathematical models for crash games, instant-win products, or other alternative gaming formats - Understanding of the interaction between mathematical models, game clients, and backend systems - Fluent English for technical documentation, collaboration with international stakeholders, and communication with testing laboratories or regulators - Strong communication skills, with the ability to translate complex mathematical concepts into practical explanations for non-mathematical colleagues - Willingness and ability to mentor junior and mid-level mathematicians and contribute to knowledge sharing within the team Would be a plus - Proficiency in at least one programming language: Python, C++, C#, Rust, Java, or Go - Experience developing high-performance simulation software, including multithreading, performance optimization, and large-scale data processing - Familiarity with Git, automated testing, and code review practices, as well as software architecture principles such as modularity, well-defined interfaces, and deterministic simulation results - Contributions to industry research, professional publications, conferences such as ICE, SiGMA, or G2E, or relevant technical communities What's in it for you - Opportunity to contribute to the development of innovative iGaming products and influence key technical decisions - Work on challenging projects involving advanced game mathematics and simulation technologies - Opportunities for professional development and career growth - Collaboration with experienced professionals in a supportive, knowledge-sharing environment

Location: Vancouver, Canada 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 We Are Sensor Tower is the leading solution for mobile marketers, app developers, and industry analysts who demand superior competitive insights into the mobile market economy and are looking to increase app downloads through app store optimization. We serve independent and Fortune 500 customers alike, spanning the mobile games, travel & hospitality, music, finance, and broadcast entertainment markets. Our suite of products consist of free, “SMB”, and Enterprise-tiered solutions including Store Intelligence, Usage Intelligence, Ad Intelligence, and App Intelligence. Our insights are cited by the world’s leading news and finance publications, including the Wall Street Journal, The New York Times, Forbes, Fortune, Bloomberg, CNBC, The Washington Post, and Reuters. Role Summary As Sensor Tower continues to grow as a global company, we are looking for a Senior Data Engineer to build amazing products together. We have a wonderful team of more than a hundred engineers globally and are preparing for much more growth in the coming years. We are looking for an experienced and passionate professional to focus on developing our products in the fast-growing exciting environment. You will report to our Engineering Manager while working closely with the cross-functional product development team and founders. What You’ll Do - Take end-to-end ownership of the data product lifecycle - from business understanding, data analysis, product design, development, deployment, to delivery. - Think beyond coding: bring strong product sense, flexibility in problem-solving, and the ability to proactively align technical solutions with business needs. - Drive communication and coordination across teams to clarify or redefine goals, ensuring data products meet evolving business requirements. - Develop high-quality data programs using PySpark, with strong ownership of data mining and processing challenges. - Conduct code reviews, software design and architecture, and pair programming. - Collaborate closely with product managers and data scientists to design and deliver impactful data products. - Explore and evaluate new technologies in the Data ecosystem, sharing insights with the team. What We’re Looking For - 5+ years experience working on Data Modeling and Data Analysis domain. - Stellar engineering skills with at least 2+ years of experience with most of our core technologies such as: Spark, Python, HDFS, Databricks, AWS, PostgreSQL, MongoDB, and Airflow. - Experience in Pandas, Sklearn or other data science and data analysis toolset is a big plus. - Having a background of data mining and machine learning domain, familiar with common algorithms and libs is a plus. - Solid grasp of modern software development lifecycle. - Ability to efficiently navigate complex multiconstraint decision-making. - Experience working in a diverse and international environment. - Experience in the mobile app, advertising, or gaming ecosystem. - Experience with product design and infrastructure challenges. - Major in Math or Computer Science. Read more about some of our Technical challenges here (written by members of our engineering team): https://sensortower.com/blog/speeding-up-the-backend-with-graph-theory 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.   Our benefits include: - Flexible time off so employees can shape their time away from work. - Health and wellness stipend to achieve and maintain a healthy lifestyle through physical and mental fitness. - Wi-Fi Allowance. - Monthly internet stipend and a one-time $500 home office stipend.   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: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ClickUp is seeking a talented and experienced Senior Search Engineer to join our team and help revolutionize our search capabilities. As a key member of our engineering team, you'll be responsible for optimizing and enhancing our search functionality, which is a critical feature of our platform and underpins our AI efforts. Your impact at ClickUp As a Senior Engineer on the Search squad, you'll be responsible for designing, optimizing, and scaling our search infrastructure. Our platform is built as backend services on top of Postgres and OpenSearch, focused on real-time search ingestion and serving. You'll work hands-on with these systems to ensure users can instantly find exactly what they need across their workspace. Your expertise will directly contribute to making ClickUp the most intuitive and responsive productivity platform available. Core Responsibilities - Design and implement robust search solutions that scale with our rapidly growing user base - Improve search relevance, accuracy, and speed to deliver the most relevant results to users at blazing fast speeds - Improve our real-time indexing pipelines to ensure search results remain up-to-date - Create measurement frameworks to evaluate and improve search quality - Build and enhance vector search capabilities to power next-generation search experiences - Collaborate with AI, backend, and product teams to integrate search into new features - Troubleshoot complex search-related issues at scale - Design and implement robust search solutions that scale with our rapidly growing user base - Improve search relevance, accuracy, and speed to deliver the most relevant results to users at blazing fast speeds - Improve out real-time indexing pipelines to ensure search results remain up-to-date - Create measurement frameworks to evaluate and improve search quality - Build and enhance vector search capabilities to power next-generation search experiences - Collaborate with AI, backend, and product teams to integrate search into new features - Troubleshoot complex search-related issues at scale Technical Requirements: - Bachelor's degree in Computer Science or related field - 5+ years of experience as a search engineer or in a directly related role - Hands-on production experience with OpenSearch or ElasticSearch (strongly preferred); Solr experience considered but less ideal given its age - Experience with high-scale, real-time data ingestion and search serving in a backend services context. - Proven ability to optimize query parsing, indexing, and relevance tuning for search systems - Experience measuring and optimizing search quality Preferred Qualifications: - Background in search ranking, relevance algorithms, and information retrieval - Hands-on experience with vector embeddings and semantic search implementations - Experience with TypeScript in backend systems - Track record of architecting search solutions that maintain performance under heavy load - Experience applying machine learning and NLP to enhance search relevance Join Our Mission At ClickUp, we're committed to building the future of productivity software. As our Search Engineer, you'll play a crucial role in shaping the core functionality of our platform and driving our AI initiatives forward. Join us in our mission to make the world more productive! #LI-REMOTE #LI-AK2 #LI-CC1       Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Global, EU We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: join us as a ! Requirements We're looking for a Senio/Staff-level engineer with an open mind and a builder's instinct - someone who goes beyond executing tasks and is ready to own the High-Performance practice end-to-end: establish engineering processes, drive R&D, evaluate and champion new technologies, and lead their adoption in production. The ideal candidate can bridge the gap between business requirements for low latency and high throughput and the realities of existing infrastructure - translating "we need to be faster" into an actionable technical roadmap. You bring a fresh perspective, know how to organize the work, and are equally comfortable optimizing a hardware parameter and presenting a strategy to stakeholders. We expect 5+ years of hands-on experience as a DevOps/SRE/Systems Engineer in performance-critical environments - and the maturity to grow yourself and grow a team around you. Linux: Advanced administration and OS-level tuning — real-time OS configurations, cgroups, CPU isolation, memory management, and low-level network stack configuration. Hardware Internals: Deep understanding of CPU power and performance states (C/P-states), Hyper-Threading / SMT trade-offs, TX/RX ring configuration, and the full data path from NIC through PCIe to memory and CPU. Ability to reason about and tune each stage of that path under production load. Networking & TCP Internals: Deep knowledge of TCP/IP — congestion control, ACK behavior, buffer tuning, and protocol-level latency sources. Strong Linux networking fundamentals: low-latency NIC configuration, bypass networking technologies (DPDK, RDMA), and market connectivity (multicast feeds, co-location networks, VPNs). Performance Engineering: Practical experience profiling latency-sensitive systems; familiarity with tools such as perf, flamegraph, strace, tcpdump, eBPF, and hardware performance counters. Containerization: Deep knowledge of Docker and Kubernetes, including low-overhead deployment patterns and performance trade-offs of containerized workloads. IaC: Proven track record with Ansible, Terraform, and Helm in production environments. Monitoring: Hands-on experience with the Prometheus / Grafana stack; ability to build latency-aware dashboards and alerting (P99, jitter, throughput KPIs). Scripting: Solid scripting in Bash and Python; Golang is a strong plus given its role in systems tooling. CI/CD & Secret Management: Strong grasp of CI/CD pipelines with experience integrating performance validation stages; familiarity with Vault for secrets management. Security: Understanding of DevSecOps principles and Kubernetes security policies. Key Performance Metrics You'll Work With Latency Distribution - P99 / P99.9 across the tick-to-trade path, using hardware-level timestamps (NIC/PTP). Jitter - variance between min/max latency, measured over large sample sets in live market conditions. Throughput - messages per second (orders + cancels) under exchange burst scenarios. System Reliability - сontinuous monitoring of uptime Extra Credit / Big Pluses Hands-on experience with kernel-level optimization: syscall reduction, network stack bypass (DPDK, RDMA, Solarflare OpenOnload). Background in HFT, algorithmic trading, or other ultra-low-latency production environments. Experience with hardware timestamping, PTP/IEEE 1588, and precision time synchronization. Familiarity with colocation operations and exchange connectivity (cross-connects, proximity hosting). Proven SRE track record with formal SLO/error budget frameworks in latency-sensitive contexts. DevSecOps: vulnerability scanning, Zero Trust, RBAC, and secure delivery pipelines. Understanding of business processes in FinTech, crypto, or electronic trading. Responsibilities Low-Latency Infrastructure Ownership: Design, deploy, and continuously optimize infrastructure for latency-sensitive trading systems — market data handlers, order/deal gateways, and risk check engines. Own the full stack from bare metal to application delivery. Define and maintain a reference architecture for low-latency connectivity when onboarding new trading venues, including reproducible configuration baselines, validation procedures, and performance acceptance criteria — so every new venue goes live on a proven, optimized stack. Cloud & Hybrid Network Connectivity: Design, implement, and maintain complex low-latency network solutions for cloud provider interconnects - including cross-connects and Direct Connect / ExpressRoute links between cloud regions, hybrid on-premise/cloud topologies, and high-throughput inter-server fabrics. Ensure both latency minimization and fault tolerance at every layer: physical redundancy, failover routing, and path diversity across providers and regions. Hardware & OS Stack Tuning: Go deep on the full hardware and OS stack - CPU pinning, C/P-states, HT/SMT configuration, NUMA topology, IRQ affinity, TX/RX ring sizing, NIC offloading, and network stack bypass (DPDK/RDMA where applicable). Understand the complete data path from NIC through PCIe to memory and CPU - and optimize every hop. Infrastructure as Code (IaC): Automate provisioning and configuration of high-performance environments using Ansible, Terraform, and Helm - with performance reproducibility as a first-class requirement. Latency Profiling & Benchmarking: Systematically profile and debug latency hotspots across the full execution path. Establish and maintain SLA/SLO targets; track P99/P99.9 distributions, jitter, and throughput - not just averages. CI/CD for Performance: Build and maintain CI/CD pipelines that include automated latency regression testing, so performance degradations are caught before they hit production. Monitoring & Observability: Design and operate comprehensive latency monitoring and alerting systems (Prometheus, VictoriaMetrics, Grafana) - including hardware timestamping (NIC/PTP) and fine-grained performance telemetry. Colocation & Network Placement: Research, evaluate, and manage optimal server placements - colocations, cross-connects, proximity hosting. Work closely with network and infrastructure teams to minimize physical and logical distance to exchanges. High Availability & DRP: Design systems that maintain stability and reliability under peak load while continuously pushing latency lower - zero regressions, always. Cross-Team Collaboration: Work alongside algo developers, quant teams, and network engineers to ensure trading strategies execute with minimal infrastructure overhead. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual. Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our Candidate Privacy Notice .

Location: Serbia; Spain Social Discovery Group (SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another. Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world. We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world. We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025). We are looking for Lead ML Engineer -LLM Inference & NLP . Your main tasks will be: Speed up and scale LLM inference in production: SGLang, KV and prefix caching, batching, quantization, speculative decoding Run distributed inference for very large models (up to 1T+ parameters) across multi-GPU and multi-node setups Benchmark new GPU servers and hardware, bring them into production and adapt our serving code to them Lead the NLP and CV teams technically: review experiments, set direction, and step in early when something is heading the wrong way Train and fine-tune the language models, and improve the agent harnesses and chat algorithm that run on them Track cutting-edge research and open-source work in inference and post-training, and turn it into the ML roadmap Collaborate closely with the validation, content, and dataset preparation teams to design experiments and measure model quality We expect from you: Deep hands-on experience optimizing LLM inference in production with SGLang, vLLM, or TensorRT-LLM Experience with distributed inference or training of large models: MoE, tensor/expert/pipeline parallelism, multi-node GPU clusters Strong understanding of what makes inference fast: KV cache, attention kernels, batching, quantization, GPU profiling Experience training and fine-tuning LLMs, including post-training (RLHF, DPO, or similar) Proven technical leadership: you've guided engineers through reviews, mentoring and technical decisions while still writing code yourself Proficiency with PyTorch, transformers, and related libraries Experience at AI-focused startups or companies (Character AI, OpenAI, and similar is a strong plus) Backend engineering experience (Python, Go, C#) and knowledge of scalable deployment systems is a significant advantage Advanced English or Russian Nice to have: CUDA or Triton kernel development A computer vision background. We also welcome strong CV leads who have accelerated large generative image or video models Experience with multimodal LLMs First-author papers or notable open-source work, e.g. contributions to SGLang, vLLM, or post-training libraries A degree in CS, math, or physics from a strong program (MSc or PhD) What do we offer: REMOTE OPPORTUNITY to work full-time; The initial pay level or pay range for this role will be shared with candidates during the recruitment process and before the commencement of employment; Vacation 28 calendar days per year; 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave; Bonuses up to $5000 for recommending successful applicants for positions in the company; 50% payment for professional training, international conferences, and meetings; Corporate discount for English lessons; ​ Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children); ​ Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years; Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc. Sounds good? Join us now!

Location: Germany Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role? We're seeking an experienced Program Manager to join Cohere's customer-facing Program Management team, with a focus on public sector and defence accounts in Europe, particularly in Germany. This is a highly specialised role requiring an individual who understands technical program delivery, the technical complexity of frontier AI models and the unique requirements of government and defence organisations. You will be the critical bridge between our cutting-edge AI capabilities and the specific needs of Ministries, Agencies, and defence organisations across Europe. You'll navigate complex procurement processes, stringent security requirements, data sovereignty concerns, and regulatory compliance while ensuring our customers successfully deploy and scale our AI solutions. In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the technical program lead and trusted advisor for our most sensitive and high-impact government and defence engagements. Location: Germany Eligibility: This individual must be a German citizen living in Germany and fluent in German, enabling immediate engagement with critical defense and national security customers. Security Clearance: German security clearance is not required, but is a strong nice-to-have. What You'll Do Customer Program Leadership: - Own end-to-end technical program delivery for Germany and broader European public sector and defence customers, from initial deployment through production scaling - Serve as the primary technical program point of contact for customers, building trusted relationships with departmental CIOs, IT directors, and technical teams - Translate complex public sector and defence requirements (security, compliance, accessibility, bilingualism, data sovereignty) into actionable engineering plans - Navigate complex procurement processes, RFP responses, and contractual technical obligations. Strategic Communication: - Provide clear, timely, and objective communication across Cohere's engineering organisation, customer stakeholders, pubic sector and defence leadership - Translate between AI/ML technical concepts and government-appropriate language for decision-makers who may not have deep technical backgrounds - Present technical roadmaps and status updates to senior stakeholders including departmental executives - Represent Cohere's technical capabilities in sensitive government and defence contexts. Complex Program Management: - Create and manage project schedules that account for public sector and defence timelines, security review processes, and approval cycles - Identify and manage dependencies across government departments, security authorities, cloud service providers, and internal Cohere teams - Navigate risks unique to government and defence deployments: privacy compliance, security, political and regulatory, technology and infrastructure. - Drive alignment between product development priorities and specific customer requirements. Technical Delivery & Execution: - Ensure on-time delivery of AI solutions that meet security, privacy, accessibility, and performance standards - Coordinate technical work across multiple teams: model customisation, security hardening, integration with government systems, bilingual support - Establish governance checkpoints appropriate for high-stakes government and defence deployments - Problem-solve complex technical challenges in air-gapped, on-premises, or highly regulated environments. You May Be a Good Fit If: Required Experience: - 6+ years of experience as a customer-facing Technical or Engineering Program Manager in AI/ML consulting, technology transformation, or enterprise software delivery. - Excellent executive communication and stakeholder management. - Experience working with government, defence, or heavily regulated customers. - Proven track record managing complex, multi-stakeholder technical programs with stringent compliance requirements. - Bachelor’s degree in a relevant field; advanced degree or technical certs a plus. Technical Background: - Strong understanding of enterprise software deployment architectures (cloud, on-premises, hybrid, air-gapped) - Working knowledge of or experience with modern AI: LLMs, agentic systems, MCP, RAG, fine-tuning, evals, and responsible AI would be a strong differentiator - Comfortable discussing API integrations, model inference, data pipelines, and ML operations with technical stakeholders. Government & Defence Acumen: - Deep understanding of how government and defence organisations procure, evaluate, and deploy technology - Familiarity with European government requirements: data sovereignty, privacy laws (Privacy Act), accessibility standards, official languages obligations, security classifications - Understanding of defence and national security considerations in AI deployment - Experience with Algorithmic Impact Assessments or AI ethics frameworks is a strong asset - Eligible to obtain a German security clearance Nice to Have: - Active German security clearance - Bilingual (English/German) proficiency - Background in or strong familiarity with European defence, intelligence, or critical infrastructure sectors - Experience with GC Cloud services (Azure, AWS GovCloud) or Protected B/C environments - Project management certification (PMP, PgMP) or government-specific methodologies. Security Clearance Requirements This role strongly prefers eligibility for German government security clearance. We are looking for candidates eligible for German government clearance, meaning that they require German citizenship. In addition, this individual is required to be based in Germany and be fluent in German as this will enable immediate engagement with critical defence and national security customers. What Makes This Role Unique This isn't typical program management - it's a highly specialised role at the intersection of frontier AI, national security, and public sector digital transformation. You'll work on some of Canada's most sensitive and impactful AI deployments, helping government organisations harness cutting-edge technology while maintaining the highest standards of security, ethics, and accountability. If you're passionate about responsible AI adoption, understand the unique constraints and opportunities within government, and want to have an outsized impact on how Canada leverages AI to serve its citizens, this role is for you. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.