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Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. ABOUT THE ROLE Checkout.com http://Checkout.com is looking for a Data Scientist to join our ambitious team, focused on discovering, designing, and experimenting with new estimators, models and features to boost payment performance across our portfolio of merchants. You will work closely with Data Scientists, Product and Engineering to enhance our core offering, protect customer lifetime value through network intelligence, and ensure safe model launches through robust observability. KEY RESPONSIBILITIES - Contribute to the research and development of new ML models and estimators to boost core Acceptance Rate performance. - Design and implement experiments to produce actionable insights, focusing on managing time-based data leakage and ensuring robust model evaluation. - Collaborate with other Data Scientists and engineers to productionise ML features, models and evolve our evaluation and monitoring frameworks. - Write high-quality, interpretable Python code for feature engineering and model training, contributing directly to our core products. - Communicate hypotheses, evaluation results, and monitoring dashboards clearly to both technical and non-technical audiences. ABOUT YOU - 3+ years of experience developing machine learning models to solve business problems. - Strong understanding of supervised ML algorithms, tuning, and performance evaluation. - Experience with a range of feature engineering techniques (e.g. target encoding). - Solid grasp of frequentist and Bayesian statistics for parameter estimation and experimentation. - Experience in writing clean, production-grade Python code for both model training and inference. - Excited to leverage LLMs for coding support and process optimisation to maximise personal and team productivity. NICE TO HAVE - Experience with advanced data transformation techniques (e.g., lambda functions). - Familiarity with, or hands-on experience in, recommender systems, contextual bandits, or network intelligence applications. - Experience in fintech, payments, or building cross-disciplinary relationships for advice and guidance. - Familiarity with the unix shell, Databricks, Docker, and common cloud platforms (GCP/AWS). Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. We are seeking a Senior Software Engineer, Data Platform to build and evolve the foundational infrastructure that powers our data platform, lakehouse, and real-time data systems. In this role, you will partner closely with data engineers, ML platform engineers, software engineers, and data scientists to design, develop, and operate the core services and workflows that enable reliable, scalable, and efficient data movement across the organization. As a senior individual contributor, you will own critical parts of the platform end to end - from architecture and implementation to reliability, observability, and operational excellence. You will help shape the technical direction of WHOOP’s data ecosystem, improve developer experience for internal data consumers, and ensure our systems can support analytics, machine learning, and product innovation at scale.This role requires a strong ownership mindset, the ability to operate with minimal guidance, and a focus on delivering production grade systems. You are also expected to actively leverage AI assisted development tools to improve speed, quality, and maintainability, and to help set the standard for effective AI usage across the team. RESPONSIBILITES: - Design, build, and operate the core infrastructure and services that power WHOOP’s data platform, including lakehouse, warehouse, and streaming systems. - Improve the performance, reliability, and cost efficiency of our data systems, including Iceberg, Snowflake, and AWS-based data infrastructure. - Build and enhance internal tooling, APIs, and automation that improve platform usability and developer experience for data engineers, analysts, and data scientists. - Lead platform engineering best practices across CI/CD, infrastructure as code, testing, deployments, and operational readiness. - Strengthen observability and operational excellence through monitoring, alerting, incident response, and continuous improvement of production systems. - Partner cross-functionally with Data Science, Analytics, ML Platform, and Software Engineering teams to support scalable and efficient data workflows. - Drive best practices for data architecture, pipeline design, governance, and platform usage across the company. - Leverage AI tools to accelerate development, improve code quality, and enhance debugging and documentation workflows QUALIFICATIONS: - BS in Computer Science, Engineering, or equivalent experience - 5+ years of experience in data engineering, platform engineering, or software engineering with significant ownership of production data systems. - Strong proficiency in Python and SQL. Java experience is nice to have. - Experience designing and operating scalable data platforms, pipelines, or distributed data systems in production environments. - Hands-on experience with Snowflake and modern cloud data infrastructure. - Experience with AWS services such as S3, EKS, EMR, EC2, or related cloud-native infrastructure. - Experience with orchestration frameworks such as Airflow or Prefect. - Strong understanding of CI/CD, infrastructure as code, and DevOps practices for data platforms. - Ability to independently drive technical projects and own systems end to end with a high degree of autonomy. - Strong communication and collaboration skills, with the ability to work effectively across engineering and data teams. - Commitment to leveraging AI-assisted development tools thoughtfully and effectively, while maintaining a high bar for engineering quality. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $150,000-$215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: Serbia; Georgia; Armenia Location: Serbia, Georgia, Armenia (Remote) Type: Internship (Full-time preferred) Time zone: CET or within ±3 hours Duration: 6 months (with potential for a long-term role) Compensation : Unpaid About Transparent Hiring Transparent Hiring is an international relocation and recruitment agency helping IT professionals from around the world build careers in Germany and relocate there with confidence. We’ve been growing steadily for over five years, combining the flexibility of a startup with the reliability of an experienced international team. Internship Overview We are looking for a Relocation Assistant Intern , located in either: Serbia , Georgia or Armenia , to support our relocation department. While our recruiters find the jobs, our relocation team ensures that the transition to Germany is seamless. You will assist specialists and their families in navigating the "bureaucratic bridge" between their home country and their new life in Germany. No prior relocation experience is required, you will receive onboarding and training on German immigration laws and procedures. What You’ll Learn & Work On Visa Application Support: Assist in preparing document sets for national visas (D), such as the EU Blue Card, Opportunity Card, and Family Reunion Visa. Document Verification: Review and verify clients’ documents (diplomas, job contracts, marriage certificates) to ensure they meet requirements set by German embassies and consulates. Appointment Management: Coordinate and book appointments at German Diplomatic Missions around the world and German immigration offices. Communication: Draft clear, professional instructions for clients and write professional emails to German authorities. Research: Track updates in German immigration laws and specific local requirements in different German cities. Please read the requirements carefully before applying. Applications that do not meet the requirements will not be considered. What We’re Looking For Fluency in English (C1) and Russian language Excellent written and verbal communication skills Strong attention to detail and solid research habits Comfortable working with Gmail, Google Docs, and CRM systems Eagerness to learn new tools and processes Would Be a Plus Any exposure to visa/relocation support Experience with outreach/messages, scheduling, or structured admin work What We Offer Full training and mentorship — no relocation background required Clear tasks, templates, and feedback to help you grow fast Flexible working hours and a 100% remote setup Supportive, friendly, international team environment Direct collaboration with company founders and senior relocation specialists Evaluation after the internship for a potential transition into a long-term role How to Apply Send us your CV and a short note explaining: why you’re interested in this internship which relocation skills you’d like to develop If you’re proactive, organized, and motivated to help others build international careers — we’d love to hear from you.

Location: Belfast, Northern Ireland, Remote Workplace: remote Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalised and profitable guest experiences. As a result, our digital ordering, payment, loyalty and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. While our roots are in NYC, we’re intentionally investing in Belfast and Northern Ireland as a key hub, with an established leadership presence, a local team, and community for the long term. This role is fully remote, offering you flexibility to work from anywhere within NI. Your new role In this role, you’ll join as a Software Engineer on the ‘Core’ team, which is part of the wider ‘Order Engineering’ group. The Core team owns key parts of Olo’s platform, including baskets, orders, checkout, promotions, capacity management, and the services that power ordering experiences at scale. We build and maintain the APIs, services, and tools that brands and partners rely on to create reliable, flexible, and high-performing digital ordering experiences. As a Software Engineer on this growing team, you’ll play a key role in shaping the future of these systems. You’ll help guide technical decisions, improve platform reliability and scalability, contribute hands-on code, and mentor other engineers. This is an opportunity to have meaningful influence across a broad and business-critical area of the platform while helping evolve the architecture for the next stage of growth. On a management level, the team is led by a dedicated Engineering Manager who is based in Northern Ireland. How you’ll make an impact Develop an understanding of the ‘Core’ team's domain and technology stack and actively seek guidance to grow technical expertise. Handle small-to-medium features with support from more senior engineers, ensuring tasks are completed according to set timelines. Write code adhering to established coding standards and participate in code reviews to learn best practices. Collaborate with team members to understand feature requirements and implement solutions with guidance. Focus on building reliable and maintainable software components, contributing to team deliverables with a focus on quality. Utilise version control systems to manage code changes and maintain a consistent development workflow. Participate in team meetings and sprint ceremonies, such as daily stand-ups and sprint retrospectives, contributing updates and feedback. Engage in learning activities, including game days and training sessions, to build familiarity with the company's tools and processes. Troubleshoot and debug issues with guidance, learning to identify and resolve common software bugs. Demonstrate a willingness to collaborate with other engineers and stakeholders, developing teamwork skills necessary for larger projects. Demonstrate ownership of the team's delivery pipeline, ensuring that code quality, testing standards, and deployment practices are continuously optimised. Use Claude Code and GitHub Copilot extensively as part of your daily workflow, and grow your skills through hands-on AI training designed to help you become highly effective with modern AI coding agents and IDEs. Active participation in on-call duties is required, with specific responsibilities determined by your assigned team and area of expertise. What will set you up for success Bachelor’s Degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. At least 1.5 years of experience in a software engineering role. Programming Skills: Proficient in C#/.Net and familiar with basic programming constructs and design patterns. Version Control Systems: Basic understanding of version control tools (e.g., GitHub) and how to use them for source code management. Unit Testing: Familiarity with writing unit tests to validate small software components and test-driven development frameworks (e.g., NUnit, Jest). Distributed Systems Fundamentals: Basic understanding of how distributed systems work, focusing on building reliable components. Collaboration Tools: Experience using collaboration platforms for development, such as Jira, Confluence, and GitHub. About Olo   Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com. Applicant Privacy Notice (United Kingdom)

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your initial focus will be account compromise: Anthropic's enforcement systems have to distinguish customers whose accounts have been compromised from actors abusing the platform — and today those two populations can look identical in the data. Stolen credentials and leaked keys are a growing abuse vector, and the collateral damage from enforcement against them lands on legitimate users. You'll own this problem end to end: detection, revocation, user notification, remediation, and the criteria for restoring access — turning what is today ad hoc incident response into a scalable, repeatable program. This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Key responsibilities Investigate credential-compromise incidents across first-party and third-party platforms, tracing actor behavior across accounts and surfaces Design and operate remediation workflows for compromised accounts: revocation, customer notification, and standards for restoring access Partner with Engineering and Data Science teams to improve how we separate compromised-customer traffic from willful abuse Enforce usage policies with a focus on detecting and mitigating potentially harmful use of AI systems Work with threat intelligence on emerging credential-abuse patterns and the actors behind them Support the Safeguards policy design team by providing detailed feedback on policy gaps based on real enforcement scenarios Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows Write the policy framework for compromise scenarios, including cases where Anthropic can't independently verify a customer's security posture Act as the enforcement SME when account compromise intersects with active abuse investigations Minimum qualifications Experience in trust and safety, fraud investigation, security operations, or a related field Subject matter expertise in one or more of: account takeover, credential abuse, session security, or incident response Experience designing or operating enforcement, remediation, or customer-recovery flows — not just detection Comfort using data (SQL or similar tools) to trace actor behavior across accounts and to measure what's working A thoughtful perspective on the tension between protecting the platform and restoring access for legitimate compromised customers Strong written communication skills, with experience producing clear briefs about messy incidents for technical and non-technical stakeholders Excellent judgment and the ability to collaborate with team members while navigating rapidly evolving priorities and workstreams Preferred qualifications Familiarity with credential-theft ecosystems or threat intelligence tooling Experience working with fraud/risk vendors (e.g., device or network intelligence platforms) Experience with API platform abuse specifically, not just consumer-account ATO A deep interest in AI safety and responsible technology development Experience writing effective prompts for generative AI systems in a content review or enforcement context The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $245,000 — $285,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Washington, DC About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Safeguards Enforcement Analyst on the account abuse team, you'll build and execute enforcement workflows that keep our products safe, with a focus on detecting and mitigating potential harm. Your focus will be driving a number of enforcement areas including access controls and identity verification. You'll own the policy layer of these systems: what we ask users for, when, on what grounds, and what passes. The work sits at the intersection of policy, operations, and regulatory exposure. This position may expand into broader areas of enforcement over time. Safety is core to our mission, and you'll help shape policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way. Key responsibilities Set collection policy for identity signals: what we request, in which enforcement states, and what evidence reinstates access Improve verification program health — accuracy, appeal coverage, and consistency of outcomes Own access policy for hard cases, including geographic restrictions and reseller arrangements Run the operational queue for access-control cases alongside contractor support, authoring playbooks and QA'ing scaled review output Work with Legal, Public Policy, and Privacy stakeholders to keep our approach proportionate, privacy-preserving, and responsive to an evolving regulatory landscape Coordinate enforcement consistency with third-party platform partners Keep up to date with emerging AI policy enforcement best practices, and use these to inform our decision-making and workflows Stand up graduated enforcement in practice — verification requests, conditional reinstatement, and appeal pathways that satisfy regulatory requirements for automated decisions Minimum qualifications Experience in trust & safety, integrity, or risk policy work Hands-on operational experience — you've owned or quality-checked live enforcement queues, not only authored policy Subject matter expertise in one or more of: KYC, identity verification, age or identity assurance, or verification program operations Experience navigating evolving regulatory landscapes (including frameworks like the DSA and GDPR) as design constraints rather than blockers Experience driving cross-functional initiatives with Product, Engineering, Legal, and Policy partners — especially where safety, privacy, and usability tradeoffs need to be navigated together Comfort using data (SQL or similar tools) to measure what's working and inform decisions Strong written communication skills, with experience producing clear briefs and recommendations for technical and non-technical stakeholders Excellent judgment and the ability to make consistent, defensible calls on ambiguous cases Preferred qualifications Experience with graduated/tiered enforcement systems rather than binary ban models Experience with geographic access restrictions, sanctions screening, or reseller/channel policy Experience building or scaling a contractor review bench A deep interest in AI safety and responsible technology development Experience writing effective prompts for generative AI systems in a content review or enforcement context The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $285,000 — $330,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Jose, California 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: San Jose, CA or Hybrid (with remote support to Hong Kong) Annual Salary: USD 130,000 - USD 160,000 Final base salary within this range will be determined based on job-related factors, including the candidate’s experience, skills, qualifications, and geographic location. Type: Full-time Reports to: (Interim) Director, IT About the Role We are looking for a dedicated and detail-oriented IT Operations Specialist to run day-to-day IT operations at Nex. Based in our San Jose office (hybrid), you’ll own device lifecycle management, workspace networking, and access provisioning, while also providing remote support to our Hong Kong office. You will play a critical part in keeping employees productive, secure, and equipped with reliable technology as we scale. The ideal candidate is a proactive, service-oriented problem solver who can own IT operations workstreams end-to-end and execute independently, while coordinating with a global team across time zones. This role partners closely with our Information Security team on security-related operations. If you bring broader experience in IT strategy, procurement, or infrastructure, we’d love to hear about it — there’s room to grow the scope of this role over time. What You'll Do IT Operations Own device procurement, provisioning, maintenance, troubleshooting, resets, and redeployment across the corporate device fleet Administer IT access provisioning and security for less-sensitive systems (e.g., maintaining admin lists, standard user access) Maintain corporate device information security, including anti-virus and endpoint protection tools Administer corporate workspace IT and networking infrastructure — Wi-Fi, server room equipment, and videoconferencing — for the San Jose office Provide remote support for Hong Kong office networking and videoconferencing systems Respond to day-to-day employee IT support requests (helpdesk tickets) with speed and clarity Strategy & Cross-Functional Support Ownership and maintenance of internal IT-owned systems and infrastructure for shared use by multiple functional groups Support on business applications and systems procurement, contract negotiation and budget management Support delivery of employee IT security training (e.g., anti-phishing awareness) in coordination with InfoSec Provide input on device management strategy (e.g., MDM/MAID tooling) based on day-today operational experience Assist with vendor coordination and support tickets for outsourced IT operations, as directed Who You Are Required Qualifications 2–5 years of experience in IT support, IT operations, or systems administration Hands-on experience with device management (e.g., MDM tools such as Jamf, Intune, or similar) Working knowledge of corporate account and productivity platforms (e.g., Google Workspace admin console) Familiarity with core networking concepts (Wi-Fi, VPN, firewalls) and videoconferencing hardware/software (e.g., Zoom Rooms) Experience with endpoint security tools (anti-virus/EDR) and basic access-control administration (e.g., 2FA) Strong troubleshooting skills and a service-oriented approach to internal IT support Ability to work independently while coordinating with colleagues across time zones (Hong Kong, U.S. and Europe) Preferred Qualifications Exposure to device management strategy (e.g., MDM/MAID tooling selection and roadmap) or corporate account strategy (e.g., Google Workspace), balancing security with operational efficiency Exposure to access provisioning and security strategy for more sensitive systems (e.g., contributing to 2FA/MFA policy, not just administering standard access) Exposure to business application procurement, contract negotiation, or vendor management Exposure to ownership of shared infrastructure (e.g., cloud systems, data lake) across multiple teams Exposure to ownership of customer-facing systems (e.g., Shopify, corporate websites) Experience supporting a hybrid or multi-office environment Experience in consumer tech, gaming, or hardware companies #LI-Hybrid 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: Morocco; Algeria; Tunisia; Spain; United Kingdom; France About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups and established tech companies across SaaS, MarTech, FinTech, and IT services. Unlike traditional outsourcing agencies, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor About the company Our client is a high-growth sales acceleration partner specializing in outsourced sales development and lead generation for ambitious B2B brands. With over 13 years of experience, the team helps mid-market and enterprise organizations across the UK, Europe, and North America navigate complex sales cycles in sectors like FinTech, Healthcare, and Manufacturing. They combine a consultative, question-based methodology with a cutting-edge sales tech stack to transform lead flow into tangible revenue. Job Summary We are seeking a high-performing, trilingual Sales Development Representative to spearhead growth across the French and Spanish markets. Joining a well-established organization with over 15 years of sales excellence and proven methodologies, you will act as the frontline of our business development efforts. This is a remote-first opportunity for a professional who thrives in a fast-paced environment and wants to leverage their linguistic expertise to drive high-value pipeline for global SaaS clients. Key Responsibilities Execute high-volume outbound prospecting, maintaining a baseline of 50 calls per day. Conduct targeted outreach across French and Spanish territories to identify and qualify new business opportunities. Consistently achieve a monthly target of 10 qualified outbound opportunities. Manage and document all activity within Salesforce to ensure data integrity and pipeline visibility. Collaborate with internal teams to refine messaging and optimize conversion rates in specific geographic markets. Actively engage in ongoing coaching and training to master the company’s signature sales methodology. Requirements Fluency in French, Spanish, and English (written and spoken). Minimum of 2 years of experience in a Sales Development Representative (SDR) or Business Development (BDM) role. Proven track record of meeting or exceeding outbound activity and meeting-set targets. Proficiency with Salesforce CRM. Ability to work within the UK (GMT) timezone. Highly coachable, curious, and determined mindset with an affable communication style. Nice-to-Haves Prior experience selling SaaS or technical solutions. Experience working within an outsourced sales or agency environment. Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Lagos, Nigeria Who We Are We’re a technology-driven financial services company committed to making financial inclusion count for millions of Nigerians. Through innovation and customer-centric solutions, we provide lending, savings, payments, and other financial products that help individuals and businesses thrive. The Position We are seeking an experienced and commercially astute Project Manager to lead the end-to-end implementation of Salesforce CRM across the business. This role will drive the full lifecycle of the Salesforce deployment, including solution design, stakeholder alignment, system integration, implementation, adoption, and optimization. A key focus will be ensuring seamless integration between Salesforce, Rencore, and Mambu to support customer management, loan origination, deposit onboarding, and card product workflows. As the Salesforce Champion, you will work closely with business and technology teams to deliver a platform that drives operational efficiency, customer experience, and business growth. Responsibilities Salesforce Project Delivery Lead full lifecycle Salesforce implementations and enhancements—from requirements gathering and solution design through configuration, integration, testing, data migration, training, go-live, and post-go-live optimization. Develop and manage detailed project plans, timelines, budgets, resource plans, and risk registers using Agile, Waterfall, or hybrid methodologies. Serve as the Salesforce Implementation Champion by building executive sponsorship, driving cross-functional alignment, and promoting user adoption across departments. Work closely with Salesforce architects, developers, administrators, and external implementation partners to deliver high-quality solutions. Facilitate workshops, process mapping, gap analysis, and requirements sessions to translate business needs into effective Salesforce configurations and automations. Lead change management, communication plans, and training programs to maximize user adoption and minimize resistance. Manage project budgets, vendor relationships, and resource allocation to deliver projects on time and within budget. Deliver the Salesforce CRM implementation aligned to business goals across the Loans, Deposits, and Cards business lines. Project Planning & Governance Develop and maintain a comprehensive project plan covering scope, milestones, resource allocation, risk management, and budget tracking. Establish governance structures including steering committee meetings, working groups, and cross-functional status reviews. Monitor and report project health metrics including RAG status, issue logs, dependency maps, and change control. Apply structured project management methodologies appropriate to the implementation context. Systems Integration & Technical Oversight Lead the design and delivery of the Salesforce → Rencore → Mambu integration model. Define data flow specifications, field mapping, and API integration requirements with architects and integration teams. Define and validate condition-based triggers governing when customer information is propagated into Mambu. Oversee data migration, system integrations, and quality assurance activities. Coordinate User Acceptance Testing (UAT), System Integration Testing (SIT), and regression testing cycles. Product Workflow Delivery Oversee Salesforce workflow design and configuration for Loans, Deposits, and Cards product lines. Ensure workflows align with regulatory, compliance, and operational requirements. Support: Loans : Lead capture, credit application intake, document collection stages, underwriting handoff, and disbursement triggers. Deposits : Account opening workflows, customer onboarding journeys, compliance documentation, and activation conditions. Cards : Card application management, eligibility checks, approval workflows, and fulfilment integration. Customer & Lead Data Management Define data governance standards for customers and lead information managed within Salesforce, including mandatory fields, data quality rules, and lifecycle stages. Establish validation frameworks that determine when a lead record matures into a customer profile eligible for downstream system population. Ensure the integrity and completeness of data migrated or created in Salesforce, with traceability into Rencore and Mambu. Stakeholder & Change Management Serve as the primary point of accountability for all Salesforce implementation workstreams with internal and external stakeholders. Manage relationships with implementation partners, Rencore technical teams, and Mambu integration support. Lead organisational readiness activities, including training programmes, process documentation, and adoption tracking. Proactively manage stakeholder expectations and escalate risks or blockers through appropriate governance channels. Compliance & Regulatory Alignment Ensure the implementation adheres to NDPR and applicable regulatory requirements. Collaborate with Compliance and Legal teams to ensure AML, KYC, and credit risk requirements are embedded within workflows. Ensure audit trails are built into Salesforce configurations to support regulatory reporting and audit requirements. Requirements What You Bring Education & Experience Bachelor’s degree in computer science, Information Systems, Business Administration, or a related field; Master’s degree is an advantage. Minimum 7 years of project management experience, with at least 3 years managing CRM or enterprise software implementations. Proven track record delivering Salesforce implementations in complex, multi-stakeholder environments. Demonstrated experience managing system integration projects involving multiple platforms, APIs, and data pipelines. Experience in financial services or fintech, with knowledge of core banking concepts, loan origination, deposit management, or card processing. PMP, PRINCE2, SAFe, or equivalent project management certification required. Technical Expertise Strong knowledge of Salesforce platforms including Sales Cloud, Service Cloud, or Financial Services Cloud. Experience managing integration architecture, APIs, data migration, and data quality initiatives. Familiarity with Mambu or similar cloud-native core banking platforms. Proficiency with project management tools such as JIRA, MS Project, Asana, and Confluence. Preferred Qualifications Salesforce Administrator or Salesforce Project Management certification. Experience working in regulated financial services environments. Knowledge of CBN regulatory frameworks. Experience supporting large-scale digital transformation programmes. This Job Is Perfect For You If You Have successfully delivered enterprise CRM implementations from planning through deployment. Can balance business priorities, technical requirements, and stakeholder expectations. Thrive in complex, cross-functional environments. Have strong systems thinking and integration experience. Are highly organized, commercially minded, and delivery focused. Benefits What's In It For You Lead a high-impact digital transformation programme at the heart of the business. Partner with senior leaders across Technology, Operations, Product, and Commercial teams. Gain exposure to Salesforce, core banking integration, and large-scale fintech transformation initiatives. Competitive compensation and benefits package. Opportunity to make a lasting impact in a fast-growing, technology-driven financial services organisation.

Location: Armenia; Moldova Intetics Inc. is a global technology company providing custom software application development, dedicated team building, software quality assessment, and all-things-digital solutions, is looking for an Incident Editorial Specialist to join our team. Join our night-shift editorial team and work on editing real-time road incident data for a global mapping platform. No previous experience is required. We provide comprehensive training. This is an excellent opportunity to start your career in IT and gain hands-on experience working on international projects. This is a full-time remote position (11:00-16:00 Kyiv time) You will work with English-language data, applying clear guidelines while maintaining accuracy and focus throughout night shifts. Requirements English proficiency at B1 level or higher (spoken English as well) Strong attention to detail , especially when working under time constraints Confident multitasking skills , including working with multiple browser tabs/windows and fast, accurate typing Punctuality, focus, and reliability are essential for successful night-shift work What you will do: Monitor and update information on road traffic incidents across assigned regions Work with real-time data from multiple sources Record key incident details , including location, direction of travel, and other relevant information Update incident records as conditions change Close incidents once they have been resolved and confirmed

Location: Palo Alto, United States Vice President, Robot Learning Confidential | Early-Stage Robotics Startup | San Francisco Bay Area, CA About the Opportunity We're partnering with an ambitious early-stage robotics company building the next generation of humanoid telepresence systems for industrial work. The company's mission is to make dangerous, highly skilled physical work safer and more accessible by enabling expert operators to remotely control humanoid robots with real-time visual, auditory, and haptic feedback. These systems are deployed in complex environments including energy infrastructure, industrial facilities, manufacturing, and other hazardous settings. A core part of the long-term vision is transforming teleoperation data into increasingly autonomous robotic capabilities. Rather than treating teleoperation as a temporary solution, the company views it as the foundation for building high-quality robot learning systems based on real-world interaction, force feedback, and task execution. This is an opportunity to define the robot learning strategy at a company where machine learning is central to the product roadmap. The Role We're seeking a Vice President of Robot Learning to lead the company's robot learning organization and own the roadmap from teleoperation data collection through to learned policies and increasing levels of autonomy. This is a highly technical leadership role for someone who enjoys building from first principles, working closely with hardware and software teams, and translating cutting-edge robotics research into production systems. You'll have the opportunity to shape both the technical direction and the team as the company scales. What You'll Do Own the robot learning strategy and technical roadmap. Build the data pipeline that transforms teleoperation sessions into high-quality training data. Develop learning systems for contact-rich robotic manipulation using real-world demonstrations. Design and deploy imitation learning, reinforcement learning, and policy optimization approaches for physical robots. Work closely with robotics, controls, perception, and hardware engineers to build an integrated robotic system. Lead the evolution from teleoperated workflows toward progressively autonomous capabilities. Build, mentor, and grow a world-class robot learning organization. Establish technical direction, research priorities, and engineering best practices. Drive experimentation, deployment, and continuous improvement using real-world operational data. What We're Looking For Required PhD or equivalent expertise in Robotics, Machine Learning, Computer Science, or a related field. Significant experience building robot learning systems for real-world robotic manipulation. Deep expertise in imitation learning, reinforcement learning, policy learning, or related techniques. Experience working with physical robots rather than purely simulated environments. Strong understanding of contact-rich manipulation, force feedback, and real-world robotic control. Track record of shipping robotics systems from research into production. Experience leading highly technical teams or serving as the technical leader for a major robotics initiative. Preferred Experience from leading robotics organizations or research groups such as: OpenAI Robotics Google DeepMind Robotics Physical Intelligence Toyota Research Institute Figure AI Agility Robotics Covariant Skild AI Sanctuary AI Dexterity Intrinsic Boston Dynamics Other leading manipulation or humanoid robotics companies Particularly valuable experience includes: Learning from teleoperation or human demonstrations Building commercial robot learning data pipelines Manipulation in contact-rich environments Haptic interfaces or force-controlled robotics Multi-modal learning using vision, force, and proprioception Scaling robot learning infrastructure across fleets Who You Are Builder-first with a passion for deploying robotics in the real world. Comfortable operating in an early-stage, fast-moving environment. Excited by ambiguous technical problems with significant ownership. Able to balance long-term research vision with near-term product execution. Motivated by building a team, not just contributing individually. Collaborative, hands-on, and deeply technical. Why Join Define the robot learning strategy from an early stage. Build systems that operate in challenging, real-world industrial environments. Work across hardware, controls, perception, and AI to solve end-to-end robotics problems. Help shape the future of intelligent humanoid robotics. Significant technical ownership with the opportunity to build and lead a high-impact organization. Location: San Francisco Bay Area, California (onsite) Employment Type: Full-time

Location: Remote: United States Workplace: Remote At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE Render’s mission is simple: eliminate the tedious work of building software by providing a cloud platform that just works. We’re evolving from the go-to platform for solo developers into the backbone for fast-scaling teams. As our users’ apps grow from a single service into complex, multi-service architectures, our biggest challenge is keeping it all feeling simple. We need a Product Designer to take that "pile of parts" and turn it into a cohesive system that actually makes sense. As a Staff IC, you'll also help raise the bar across the organization through mentorship, design leadership, and thoughtful cross-functional influence. This is a craft-focused IC role, and it's web UI at its most demanding. You'll own the surfaces developers depend on when the clock is ticking and things are breaking. Designing for infrastructure is unique: your screens see the most traffic when the user is most stressed, and "failure" is a first-class state, not an edge case. We’re looking for someone who finds that responsibility energizing. You’ll join a design team that takes its craft seriously, with weekly critiques and deep cross-functional collaboration. You’ll thrive here if you love untangling complex, messy problems and turning them into accessible, beautiful experiences. YOU WILL: - Make a multi-service system legible at a glance. Design the views that let a developer see how their services connect and depend on each other, instead of stitching the picture together one service at a time. This comprehension gap is where design can make a complicated system feel cohesive and friendly. - Design system-level observability. Aggregated logs, metrics, deploys, and events across a whole project, filterable by environment and resource — so a developer can answer "what's going on with my system" in one place. This is high-density information design where hierarchy, scanning speed, and progressive disclosure are the whole game. - Design deployment as a coordinated act. When an application has many services, coordination gets hard. You'll design cross-service deployment and rollback, and a preview model so shipping feels safe at any scale. - Design and consider all product states. You'll own the "unglamorous" moments. Like build errors, failed deploys, and empty states, and turn them into helpful experiences. Since developer tools earn their reputation by how they handle problems, your focus is on guiding the user to success even when things go wrong. - Own a first-run experience worth recommending. The path from signup to first successful deploy is where trust starts. You'll design it so that a developer's first ten minutes make them want to tell someone. - Contribute to where the platform goes next. Alongside the shipping work, you'll bring concept explorations and a strong point of view to a design-led discovery track, shaping the platform's future through a weekly critique cadence with the rest of the team. WE'RE LOOKING FOR: - 7+ years of relevant experience. Whether you’ve worked on developer tools, cloud infrastructure, or another complex, high-stakes product, we care more about your impact than your title. - Exceptional taste and craft. You have an eye for detail that borders on obsessive — typography, spacing, motion, density, interaction feedback. You notice when something is 2px off and it bothers you, and you've shipped work other practitioners admire. - Strong information architecture. You can take a tangle of objects and relationships and make it feel like one obvious thing. - You design the whole journey, not a screen at a time. Your portfolio shows a user carried coherently across every surface a feature touches — entry point to empty state to failure to recovery — not a set of polished screens that don't add up to a system. - Fluent in developer language. You know your way around services, CI/CD, and deployments. You don’t need to have built a cloud platform before, but you’re curious enough to get deep into the weeds of how it works. - Respect for failure states. You believe an error message is an interface, and you design for the user having a bad day, not just the happy path. - Systems fluency. You're comfortable working in and contributing to a design system as the product's surface area grows, extending it rather than fighting it. - Strong product judgment under fast launch velocity. You frame problems well, prioritize ruthlessly, and know which details matter and which can wait. - Clear, direct communication and a genuinely collaborative way of working with product and engineering partners — including sharing a problem space with another designer without needing hard fences between you. NICE-TO-HAVES: - Experience designing complex dashboards, monitoring tools, or console interfaces where data density and high-stakes clarity matter. - You've been on-call, run side projects, or debugged systems in production. You don’t just design for developers; you understand their mental models and the specific frustrations they face. - You’re as excited to design a CLI tool or shape an SDK as you are to build a web dashboard. You’re ready to explore new frontiers like agentic workflows and AI-assisted design, not just standard web UI. - Design-engineering literacy: comfort near code, motion, or prototyping. - Writing, talks, or side projects that demonstrate your craft and point of view. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! Render — CCPA Applicant Privacy Notice https://drive.google.com/file/d/1wKr9IejoT5McFrs9I2mahQnf6AFwb3z2/view Render — GDPR Applicant Privacy Notice https://drive.google.com/file/d/1_8jtyXQ1HdRdTdQn9sZ7n-R-zAGBmsFa/view

Location: Warsaw Workplace: Hybrid ROLE HIGHLIGHTS: Senior Optomechanical Engineer - Location: Warsaw, Poland - Department: Engineering / Optical Systems - Reports to: Mechanical Engineering Team Lead - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: As Senior Optomechanical Engineer, you will be the critical link between optical and mechanical engineering, turning advanced optical designs into flight-ready mechanical structures for ICEYE's satellite payloads. Working hands-on across CAD, materials and precision mechanics, you will own the mechanical design of optomechanical assemblies through every stage of the product lifecycle, from concept and prototyping to manufacturing, integration, testing, and qualification for space. You will ensure that performance, precision, and alignment are preserved as an optical design moves from the design file to a finished satellite instrument. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES   - Own the mechanical side of the optical payload's development, from early concept work through prototyping, and into production, integration, and pre-launch qualification, working hands-on on CAD design, analysis, and optimization throughout. - Sit at the interface between the optical and mechanical domain, reading and interpreting optical designs so that the mechanical structures, mounts, and adjustment mechanisms you build preserve their performance once assembled and tested. - Build and maintain close working relationships with external manufacturers and subcontractors, so that the components and mechanisms they deliver meet the precision, alignment, and quality the design calls for. WHAT WE’RE LOOKING FOR Must haves: - Expert knowledge and hands-on skills of mechanical CAD design, analysis and optimization including all phases of the project from the concept up to material and structural analysis. - Familiarity with the material science and engineering being able to guide material selection and analysis for the space environment (outgassing, thermal cycling, thermoelastic effects). - Embracing the challenge, mindset of owning problems and solving them, capability of taking risks and leaning forward when needed. R&D style of learning by doing and iterating on the parts that require improvement. - Experience in delivering design through suppliers - proven record of working directly together with manufacturers and subcontractors in order to get the design delivered to production, verified and validated. Nice to haves: - Exposure to space optics. - Experience with TVAC and vibration testing, and pre-launch qualification campaigns. - Experience selecting and qualifying optical components together with manufacturers. - Knowledge of metrology and measurement techniques for precisely actuated systems, including optical profiling and CMM methods. APPLICATION PROCESS - Talent Attraction Screening - Hiring Manager Screening - Onsite workshop + Technical discussion - Interview with Leadership WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) - Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives. We are seeking an Associate Director, Core Algorithms (Cloud) to lead the teams responsible for WHOOP's cloud-based algorithmic intelligence — the models and systems that transform physiological data into the sleep, recovery, and training insights our members rely on daily. This role is also responsible for ensuring our cloud algorithms evolve alongside WHOOP hardware, partnering with Sensor Intelligence and Hardware teams to translate new sensor capabilities into production-grade algorithmic experiences. You will own the technical vision, execution, and organizational health of this team. You'll drive the evolution of our core production algorithms such as workout detection, strain, and sleep staging toward higher accuracy, better member experiences, and more mature development practices. You will partner closely with ML Platform, Sensor Intelligence, Research, Product, and Software Engineering to define what WHOOP algorithms can enable — not just how they perform technically, but how they show up for members. This is a role for someone who has built and shipped physiological ML at scale in a consumer product, who has a deep product instinct for what algorithms mean to end users, and who knows how to elevate an ML organization's practices: raising the bar on tooling, processes, and standards to match the ambition of the work. RESPONSIBILITIES - Lead the cloud ML team responsible for the algorithms powering sleep, recovery, and training - Directly manage applied ML scientists and ML engineers; provide coaching, career development, and performance feedback that grows individual contributors into strong technical leaders - Ensure the technical quality bar for algorithm development is maintained by establishing the processes, reviews, and standards that guarantee rigor from research through deployment, and diving into designs and architectural decisions where necessary - Help drive the vision for what WHOOP algorithms and next-generation sensors can enable; advocate for member experience and push the boundaries of what our data makes possible - Ensure cloud algorithms remain compatible with future hardware generations; partner with Sensor Intelligence and Hardware to evolve proof-of-concept algorithms that leverage new sensor capabilities and bring them to production readiness - Establish and improve development lifecycle practices: experiment management, model validation, deployment pipelines, and production monitoring - Partner with ML Platform / MLOps to define requirements and drive maturity improvements across experiment tracking, model monitoring, deployment automation, and observability - Drive cross-functional alignment with Sensor Intelligence, Product, Software Engineering, and Research teams QUALIFICATIONS - 8+ years of experience in machine learning or applied data science, with hands-on experience developing and shipping ML models for a consumer product - 4+ years of people leadership experience directly managing machine learning scientists/engineers, with demonstrated growth of team members and a track record of building high-performing teams - Experience scaling a production ML organization: growing teams and leaders, identifying gaps in the development lifecycle, and driving improvements that increase velocity, reliability, and rigor - Deep product sense: ability to think about algorithms from the member's perspective, drive the vision for what algorithms can enable, and ensure the team is building toward meaningful user outcomes - Ability to evaluate technical designs, guide architectural decisions, and ensure quality at the system level, without needing to write code day-to-day - Experience defining and driving cross-functional programs with engineering, product, and science partners - Strong communication skills with the ability to translate complex ML concepts to diverse audiences including product, engineering, and executive stakeholders PREFERRED - Experience building algorithms using physiological or wearable sensor data (e.g., PPG, accelerometer, temperature, bioimpedance) - Experience managing through hardware-coupled development timelines where sensor availability and device generations constrain algorithm roadmaps - Familiarity with time-series modeling, sequential data, and the specific challenges of continuous physiological monitoring This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.    Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $200,000-$245,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.    In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Location: New York City, NY; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The Safeguards team is responsible for ensuring our models and products are developed and deployed safely. We're looking for engineers for our Review Tooling team, which builds the systems that humans — and increasingly Claude — use to investigate potential harms and take enforcement actions across Anthropic's first-party products and third-party cloud platforms. You'll own the tools our safety investigators rely on to understand what's happening on our platforms and act on it, as well as the platform underneath those tools. That platform includes data analysis capabilities, privacy-preserving primitives that keep review workflows compatible with our data retention commitments, and a sandbox environment where new review interfaces and workflows can be built and iterated quickly. These are internal tools, but they are anything but low-stakes: the speed, clarity, and reliability of this tooling directly determines how quickly Anthropic can identify harmful behavior, make sound enforcement decisions, and feed signals back into model training and safety classifiers. You'll partner closely with policy, operations, data science, legal, and privacy teams to ensure our enforcement systems are effective, accurate, and trustworthy. Key responsibilities Build investigation, review, and enforcement tooling for both first-party and third-party platform surfaces — including case queues, investigation views, decision and audit logging, and account-actioning workflows Develop the platform layer of reusable APIs, data storage, and backend services that lets new review workflows be stood up quickly and safely Stand up and run deployments of this tooling across multiple clouds, including inside cloud-provider partner environments where data must stay in place. Keep the deployments consistent through shared deployment pipelines, smoke tests, observability, and alerting Scale review through automation, including enabling reviewers to use Claude effectively and building toward Claude-assisted and Claude-driven review workflows Partner with policy, operations, legal, privacy, and data science stakeholders to translate enforcement and investigation needs into reliable, well-designed systems that measurably reduce handling time and decision error Instrument the tools you ship — surfacing metrics on queue health, reviewer throughput, and decision quality — and ensure tooling evolves alongside new privacy primitives and data retention commitments Minimum qualifications A technical background in full-stack or platform engineering, with the ability to engage deeply in architecture and design discussions Experience shipping internal tools or platforms with demanding operational users, and a track record of improving their workflows measurably Experience working cross-functionally with non-engineering partners such as operations, policy, or legal teams Excellent communication skills, including the ability to explain technical tradeoffs to non-technical stakeholders Care about the societal impacts of AI and want your work to make powerful systems safer Preferred qualifications 8+ years of industry software engineering experience Experience building data labeling, trust and safety, integrity, fraud, or abuse-prevention tooling, or other systems supporting human review at scale Have built systems that handle sensitive or regulated data, with requirements around access control, auditability, retention, and data residency Have worked across multiple cloud providers, or built infrastructure designed to be provider-agnostic A product-minded approach to internal users: you work directly with the people using your tools, watch where they struggle, and fix it The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Lisbon, Portugal Joom Group is an international tech-centric group of e-commerce companies founded in 2016 in Latvia. We are here to transform the largest industry in the world, global trade, making it more transparent, efficient, and technology-driven. Today, Joom Group brings together the following businesses: Joom, a platform for shopping from all over the world; JoomPro, the first end-to-end cross-border B2B marketplace, with successful operations in Brazil and plans to expand to other markets; JoomPulse, data platform that provides analytics and recommendations for marketplace sellers; and Onfy, a pharmaceutical marketplace in Germany. Joom Group’s offices are located in China, Brazil, Portugal, Latvia, and Germany, with headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses, and products. Our team is small and operates with high autonomy. We avoid the bloat of massive tech corporations. Instead, we empower individual engineers to solve problems that would typically require entire outsourced departments. At Joom, your work doesn't just improve metrics – it can fundamentally change the global trade. About the Role Mission Critical: You will be working on most challenging problems and impactful products – whether it’s optimizing cross-border logistics through ML, architecting high-load B2B systems, developing service infrastructure with AI agents, or pioneering LLM-driven internal tools Direct Impact: Drive significant business impact by combining technical excellence with smart, innovative ideas that improve user experience and optimize business efficiency. Who You Are You are an Exceptional Software Engineer: You have a track record of building complex, reliable systems and possess a deep understanding of the full stack, from infrastructure to ML-serving You are "AI Ready": You treat tools like Cursor, Claude Code, GitHub Copilot, etc. as extensions of your own capabilities to move faster and think bigger You are confident in making decisions grounded in data and measurable outcomes Our Tech Culture High Engineering Density: Work in a compact, expert and strong team serving large business Advanced Tooling: We encourage use of the most modern tools available (OpenAI, Gemini, Anthropic, etc), allowing to build everything you can imagine Fast Loops: Our infrastructure is built for speed – experiment, deploy, and see the business effect in real-time Values & Culture Move Fast: We operate in a hyper-dynamic and competitive environment, where challenges and opportunities pop-up every day and successes are immediately copied. That’s why we must move fast: make smart decisions, test hypothesis and quickly scale winning solutions Strive for Excellence: Move Fast doesn’t mean that speed is more important than quality. Only well-executed work can enable a startup to become a successful, long-lasting company Be Open and Honest: To become stronger, we openly discuss problems, are not afraid to acknowledge mistakes and look deeply into their core Together We Win: We only win when we play as one team. Regardless of business unit, country, or department, we work toward a shared goal and do what’s best for the team as a whole Innovate: We are here to create services that solve customer needs far better than existing alternatives We offer Compensation package: base salary, performance-based bonuses and stock options Office-first: flexible hours with a possibility to work remotely 52 days per year Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave Relocation Support: full assistance for a smooth relocation for the employees and their family AI-first approach: licenses and access to a wide range of AI tools Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English & Portuguese courses Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work Before applying for the above position please review our Candidate Privacy Notice here . By responding to the vacancy, you acknowledge that you have read our Privacy notice.

Location: Valencia Workplace: Hybrid ROLE HIGHLIGHTS: • Senior Software Engineer - Tasking and Planning • Location: Valencia, Spain • Department: Ground Segment • Reports to: Engineering Manager • Employment type: Permanent • Workplace model: Hybrid (3 days per week in office) • Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: As Senior Software Engineer on the Acquisition Planning team, you will build the software systems that enable ICEYE and its customers to task satellites, plan data acquisitions, and turn orbital mechanics into operational intelligence capability. From pass prediction and coverage computation engines to event-driven backend services and the engineering interfaces that let users visualise and de-conflict collection plans, you will own the stack end-to-end — working directly alongside engineers and product managers with deep operational backgrounds to understand what users need and ship software that delivers it. This is an early-stage, high-autonomy role where you will help define the architecture and direction of a platform that sits at the intersection of software engineering, applied mathematics, and real-world intelligence operations. WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. YOUR DAY-TO-DAY RESPONSIBILITIES - Tasking and Planning Engines. Orbit propagation, pass prediction, acquisition geometry, sensor configuration parameters, and coverage footprint computation. Applied science mathematics turned into operational capability via Software. - Platform Services. Backend services handling task management. Event-driven workers performing opportunity calculation and synchronising state asynchronously via NATS JetStream. PostgreSQL for persistence. Responsiveness and resilience at the service of the mission. - Engineering Interfaces. Robust and evolvable APIs and UIs that enable engineers to visualise passes, compare collection plans, plan tasks, and self-service their access to space. - Whatever the future brings. Multi-sensor coordination, processing pipeline integration, new collection strategies, and capabilities that will emerge from close collaboration with users. You will help define the direction, not just execute it. WHAT WE’RE LOOKING FOR Must haves: - Strong software engineering fundamentals. You design decoupled, maintainable, resilient, performant systems. You can reason about concurrency and how transactions work. You know about CAP and regularly make deliberate trade-offs between Consistency and Availability. You understand the difference between “At most once”, “At least once” and how to design systems around those guarantees. - Fluency with AI-assisted engineering. You treat AI as a standard part of your toolkit, not a novelty or a threat. You use it across the whole of your work (design exploration, code, tests, documentation, debugging, reviewing unfamiliar codebases) and you have a feel for where it accelerates you and where it quietly costs you time. Crucially, you stay accountable for the output: you know how to prompt and scope a task well, how to verify what comes back, and how to keep the guarantees that production demands. You are curious about improving the way you and your team work with these tools, and you help others get better at it. - Production experience. You have designed, built, and operated services in production: REST APIs, relational databases, and asynchronous workers. You know how to make your systems observable and resilient. You understand what production demands beyond making things work locally. - Fast learner in technical domains. This role involves orbital mechanics, RF physics, and geospatial data. You don’t need to come in knowing these — but you do need to be the kind of engineer who can pick up a new domain quickly, ask sharp questions, and start contributing before you’ve mastered every detail. - Ability to work from ambiguity. You can take a loosely defined operational need (e.g. “we need users to de-conflict between competing collection plans”) and turn it into concrete engineering work. You ask the right questions, make well-reasoned decisions, and adjust when new information arrives. - Effective communication across domains. You will work alongside people who think in many different ways and work in different contexts. You can listen carefully, ask precise questions, and articulate technical tradeoffs in terms that everybody can understand, and adjust to your audience accordingly. Nice to haves: - Event-driven architecture. Experience with NATS, Kafka, SQS, or similar. Understanding of at-least-once delivery, idempotency, and the practical tradeoffs of asynchronous service communication. - Modern frontend engineering. Production experience with Next.js, React, and TypeScript, particularly for data-intensive or real-time visualisation applications. Experience with CesiumJS or deck.gl http://deck.gl is a strong plus. - Proficiency with AI development tools. You actively use AI assistants (Cursor, Copilot, Claude, ChatGPT, or similar) in your daily engineering work. Not tentatively, but as a primary tool for writing, reviewing, and iterating on code. You understand their strengths and limitations, and you use them to move faster without sacrificing quality. - Orbital mechanics background. Experience with TLEs, SGP4 propagation, pass prediction, incidence and squint geometry, and access window computation. Familiarity with tools like Skyfield, GMAT, or STK. This is valuable but learnable on the job. - Geospatial engineering. GeoJSON, CZML, WGS84, map projections, coverage polygons, and ground footprints. Experience building systems that process and render geospatial data. - Space, defence, or intelligence sector experience. You have worked in an environment where users depend on the software you build, where the physics constrains what is possible, and where the quality of your work has direct operational consequences. You understand what a tasking workflow looks like from a user perspective. APPLICATION PROCESS • TA Partner Screen Call • Hiring Manager Interview • Technical Interview • Values & Fit Interview • SVP of Engineering Interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. • Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. • See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. • Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. • Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. • Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Copenhagen, Denmark About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Do you enjoy working in a dynamic and rapidly changing work environment, have a customer-oriented mindset and love working with a fun team? Are you experienced in the retail or grocery sphere? If your answer is yes - then read further! At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. The role you are looking at is a part of Wolt Market - our very own grocery stores that deliver unprecedented convenience and world leading customer experience. People across Denmark can order their groceries and have them delivered to their doorstep in lightspeed! With Wolt Market, our focus is to find the right products by being customer oriented, offering the fastest delivery available and being the company that changes the future of grocery shopping. This role plays a key part in our growth in Denmark. We are now searching for a full time Store Manager to lead one of our stores in Copenhagen. In this role, you’ll find yourself in a challenging but well supported position. You have a strong influence on how your city operations will look like. We offer a unique opportunity to join one of the fastest growing companies in Europe and have an actual impact on how Wolt Market will look in the coming years. If you have experience in team leading and enjoy working with a fun group of people, then you might be just the person we are looking for! What you’ll be doing You will work closely together with the team, including 5-8 Shift leads which you will guide, coach and develop within the frames of Wolt leadership values. To do this, you will make sure the Shift Leads have the knowledge and right tools to be able to run the store's day-to-day operations smoothly, this might include staying on top of freshness, inventory and stock management. You’ll be responsible for hiring, training, providing daily feedback and also holding 1v1 twice a year to grow the individual, go through performance and set new goals. Day-to-day in this role you’ll: Leading, growing and motivating a team. Creating an environment where your colleagues can do their best work and have fun while working. You’ll get to plan team events with your team - something we aim to do a couple times a year. Your main goal will be to consistently improve the way our stores operate with help from the Operations Team. Fast delivery and fluent operations consist of a large field of things, this is one of the key day to day operational tasks you’ll be working with. Continuous participating in internal and external meeting The role also includes a good collaboration and communication with other functions at Wolt to make sure we have a good selection & right products on sale. Monitoring shrink levels and control the amount of food that goes to waste. Managing shift scheduling. Handling incoming goods and order of the store. Overseeing everything the store and colleagues need to enable fast growth. This includes everything from ordering office supplies or IT-devices to a complete set of new fridges. Our humble expectations Leadership experience and demonstrate the ability to motivate others. Experience from working in a grocery store is a plus. A fast learner with the ability to multitask. Proactive and service-minded are words that describe you. You have a can do-attitude and enjoy the idea of working in a fast-paced entrepreneurial environment. You are able to work both during the day, evenings and weekends. Data-driven and analytical, you understand data to help improve and develop. A fluent level of English Next steps If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team redefining grocery shopping, then click below to apply and get the conversation going! We will be reviewing applications on an on-going basis, so if this sounds like an opportunity you want to pursue, apply today! Please note that we do not accept applications coming through email due to GDPR. Make sure to apply through our careers page! Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .