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Location: United States Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker seeks a Principal Software Engineer to define the technical vision and architecture for our internal Developer Tools team. This is a rare opportunity to establish how software is designed, built, shipped, and operated at Docker. With the addition of AI we are modernizing our SDLC and building the mechanisms that make the right way the easy way for every engineer. You'll own the technical strategy across four interconnected pillars: - Platform Engineering & Self-Service: Design and build the internal developer platform that empowers teams across Docker to unblock themselves, rapidly scaffolding, prototyping, deploying, and operating their own services and tools. - CI/CD & Build Systems: Define Docker's technical approach to continuous integration, delivery, and build infrastructure. Establish architectural standards for pipeline tooling, GitOps deployment patterns, build substrate, and release engineering. As Principal Software Engineer, you'll partner with engineering leadership across Docker, principal engineers, Security, Infrastructure, and the service teams to author the SDLC tenets that underpin all of this work, and build the mechanisms those tenets run through. Reporting to the Sr Manager of Developer Tools, you'll collaborate closely with engineering leadership across Docker, product engineering teams, platform teams, and ultimately customers as internal tools evolve into product offerings. _______________________________________________________________________ WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You're a technical leader who excels at the intersection of developer experience, platform engineering, and systems design. You think in platforms and golden paths, building once and enabling dozens of teams to move faster. You have strong opinions on what makes developer tools great: invisible by default, indispensable once adopted, and measurable in the workflows engineers already use. You have deep experience across the breadth of the developer tooling stack, CI/CD, build systems, observability infrastructure, and developer platforms, and working knowledge of LLM integration and AI agent development. You understand the nuances of internal platforms: designing for adoption, not mandate; plugging into existing workflows before standing up new ones; and earning trust through data before expanding scope. You have exceptional judgment on when to build custom solutions versus integrate existing tools, and you're comfortable navigating a rapidly evolving landscape across both AI and developer infrastructure. You balance technical excellence with pragmatism, shipping iteratively while maintaining high quality bars. Most importantly, you lead through influence and mentorship, elevating the entire engineering organization's technical capabilities. _______________________________________________________________________ RESPONSIBILITIES Technical Leadership & Architecture - Define the long-term technical vision and architecture for Docker's developer tooling platform spanning platform engineering, CI/CD, and AI-powered tools - Lead authoring of SDLC tenets in partnership with other principal engineers, Security, and Infrastructure and build the mechanisms those tenets bind to (design gates, code review gates, pipeline standards, visibility) - Establish architectural patterns, technical standards, and best practices across the developer tooling stack - Design highly available, scalable infrastructure for hosting developer tools, agents, and platform services - Drive technical decisions on tooling choices, provider strategies, build/deploy substrate, and agent orchestration frameworks - Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities Systems Design & Implementation - Architect and build Docker's internal developer platform, the self-service substrate enabling teams to scaffold, deploy, and operate services with minimal friction - Design and implement CI/CD and build infrastructure that supports Docker's SDLC tenets and GitOps deployment patterns - Establish reliability, security, and performance standards across developer tooling including SLOs, monitoring, incident response, and cost management - Design integration points between developer tools and existing infrastructure (CI/CD pipelines, observability platforms, deployment systems) Strategic Impact & Innovation - Evaluate emerging technologies across developer tooling, platform engineering, AI/LLM, and agent frameworks to inform Docker's technical strategy - Define and enforce the golden path, the concrete, left-to-right walkthrough of how Docker builds software, and identify where tooling closes gaps vs. where human process does - Drive technical standards for measuring developer tool effectiveness: adoption metrics, productivity gains, pipeline performance, and developer satisfaction - Lead cross-functional technical discussions influencing company-wide developer tooling architecture - Define technical approach for productizing successful internal developer tools into customer-facing offerings Leadership & Mentorship - Mentor senior and staff engineers on platform engineering, CI/CD patterns, design, and AI/LLM integration - Lead design reviews and technical decision-making across all developer tooling work - Foster culture of technical excellence, experimentation, and rapid prototyping within the Developer Tools team - Serve as primary technical contact and thought leader for developer tooling across Docker's engineering organization - Collaborate with platform teams (Infrastructure, Security, Agentic Platform, Supply Chain Security) to establish shared technical standards and integration patterns - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. _______________________________________________________________________ QUALIFICATIONS REQUIRED - 10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Proven track record architecting and operating developer-facing platforms, internal tools, or developer productivity systems at scale - Deep expertise in CI/CD systems, build infrastructure, and GitOps deployment patterns - Production experience with cloud-native infrastructure including Kubernetes, observability systems (Prometheus, Grafana, Loki), and deployment tooling - Experience designing self-service platforms, developer portals, or golden path tooling that enable other teams to move faster - Working knowledge of AI/ML technologies and hands-on experience with LLM APIs or AI agent development - Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals - Exceptional product and platform mindset considering developer experience, business outcomes, and technical/security trade-offs - Strong communication skills with ability to influence technical and non-technical stakeholders - Track record of technical mentorship and elevating engineering teams' capabilities - Ownership mentality with bias for action and iterative delivery in ambiguous, fast-moving environments - Comfortable with autonomous work in distributed, remote-first teams across multiple time zones PREFERRED - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in DevOps, SRE, or platform engineering domains - Contributions to open source developer tooling, platform engineering, or observability projects - Experience productizing internal platforms into commercial offerings - Deep knowledge of security, compliance, and operational best practices for production systems - Experience with infrastructure-as-code frameworks (Terraform, Pulumi) and multi-cloud platforms (AWS, GCP, Azure) - Track record driving org-wide adoption of developer tooling and engineering standards _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Understand Docker's current developer tooling landscape: AI tools, CI/CD state, platform engineering gaps, and the foundational SDLC gap - Meet with engineering leadership, principal engineers, and key technical stakeholders across product engineering, Security, Infrastructure, and Agentic Platform - Conduct deep technical assessment of current developer tooling infrastructure to identify opportunities and constraints across all four pillars - Review existing tools in production and understand what's working, what isn't, and the technical lessons learned - Partner with Senior Manager to define initial technical priorities and 90-day technical roadmap across pillars FIRST 90 DAYS - Define and document technical architecture for the Developer Tools platform across: system design, technology choices, integration patterns, and operational model - Ship first production deliverable, either an extension of existing tooling or a net-new tool with architectural patterns and standards that scale to future work - Establish technical foundations for the self-service platform: deployment pipeline, security controls, and cost management - Lead or contribute to the SDLC tenets working session with principal engineers, Security, and Infrastructure - Define success metrics and instrumentation strategy for measuring developer tool adoption, effectiveness, and productivity impact - Create architectural decision records and best practices guides for teams building on the platform FIRST YEAR OUTLOOK - Establish mature technical architecture for the Developer Tools platform with multiple production tools demonstrating value - Build production-ready self-service platform enabling multiple teams to build, deploy, and operate their own tools with minimal friction - Define and implement technical standards for measuring developer productivity improvement: design quality, commit frequency, PR velocity, deployment reliability, and incident response times - Lead technical strategy for productizing successful internal tools into customer-facing offerings - Position Developer Tools as Docker's technical center of excellence for developer productivity, with regular technical talks, demos, and knowledge sharing - Define multi-year technical roadmap including advanced platform capabilities, expanded AI tooling, and emerging technology adoption Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $198K – $319K base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The opportunity Build the machine learning capabilities that help advertisers understand what they could achieve on Reddit and make better investment decisions. On the Forecasting team, you will develop models that estimate how campaign outcomes could change with different budgets, bids, audiences, creative performance, or objectives. Your work will connect supply and demand forecasting, audience availability, and response prediction to help advertisers compare alternatives and identify valuable opportunities. This is a hands-on role with end-to-end ownership of forecasting models and production capabilities. You will drive projects from problem formulation and technical design through evaluation, deployment, and iteration, working closely with engineers and cross-functional partners. What you’ll do Own forecasting and scenario modeling projects. Translate advertiser questions into modeling problems involving delivery, reach, performance, and investment tradeoffs. Develop technical approaches, make practical tradeoffs, and drive execution. Connect inventory, demand, and response. Use signals about available advertising opportunities, audience activity, marketplace competition, and predicted response to improve estimates of achievable campaign outcomes. Model outcomes under alternative choices. Build and improve models that estimate the effects of changes in budget, bid, audience, or optimization objective, accounting for relevant auction dynamics and campaign constraints. Help advertisers identify opportunity. Incorporate predictions from partner teams, including creative-performance estimates, to evaluate potential improvements in delivery, efficiency, or advertiser value. Improve model generalization. Develop approaches for sparse segments, cold start, seasonality, delayed feedback, and changing marketplace conditions. Choose methods that balance predictive quality, complexity, and production requirements. Build trustworthy evaluations. Measure forecast accuracy, calibration, uncertainty, and performance across advertiser cohorts. Document modeling assumptions and limitations, and work with partners to determine which scenario comparisons the evidence supports. Close the learning loop. Compare predictions with mature outcomes, investigate systematic errors, and use experiments and observed results to improve forecasts and validate scenario estimates. Deliver reliable production systems. Own training, inference, monitoring, and iteration for your models. Collaborate with Product, Data Science, Ads Delivery, Audience, and Creative teams; contribute to design and code reviews; and mentor engineers through project work. What we’re looking for Experience independently designing, shipping, and improving predictive ML systems in advertising, marketplaces, recommendations, search, forecasting, or similarly complex domains. Strong foundations in statistical learning, probability, and optimization, with experience working with large-scale behavioral or transactional data. Practical experience in at least one relevant area, such as forecasting, response prediction, probabilistic modeling, multitask learning, or transfer learning. Sound evaluation judgment, including temporal validation, segment-level analysis, and an understanding of calibration, uncertainty, and the limits of predictions under changed conditions. Experience diagnosing and addressing modeling challenges such as sparse observations, cold start, seasonality, distribution shift, selection bias, or delayed labels. Strong programming and software engineering skills, including experience building and operating production ML pipelines and services. Demonstrated ability to turn ambiguous product questions into concrete technical plans, lead projects through rollout, and collaborate effectively across functions. Preferred experience Experience in one or more of: Demand, supply, and inventory forecasting: Advertising inventory, marketplace demand, traffic, retail demand, or capacity forecasting, including time-series methods, hierarchical or global models, and multi-horizon prediction. Auction and investment modeling: Auction simulation or replay, win-rate and price prediction, bid/budget response curves, or constrained optimization. Scenario evaluation: Counterfactual or off-policy evaluation, sensitivity analysis, uncertainty propagation, or combining predictive models to estimate campaign outcomes. Reach and audience estimation: Population and overlap estimation, reach/frequency models, sampling correction, or saturation modeling. Probabilistic and response modeling: Quantile or distributional prediction, calibrated conversion/value prediction, or delayed-feedback modeling. What success looks like You independently deliver and operate forecasting capabilities that improve accuracy and calibration for priority advertiser populations. Your models support credible comparisons of campaign alternatives, have clear evaluation and monitoring, and help advertisers make better planning and investment decisions. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-AK1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $216,700 — $303,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: London, England Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin is transforming customer service through AI, helping businesses deliver fast, accurate, and reliable support at scale. Trust is foundational to that mission. The Cloud Security team is responsible for protecting the platforms that power Fin. We partner closely with infrastructure and product engineering teams to secure cloud environments, detect emerging threats, respond to incidents, and build the security foundations that enable teams to move quickly with confidence. The team owns critical cloud security capabilities including detection engineering, cloud security monitoring, incident response, cloud security controls, and the security tooling that protects Fin's production environments. The team is responsible for securing the cloud platforms and production systems that underpin every Fin customer interaction. The mission of the team is to help Fin build and operate trusted AI-powered customer service experiences by making security a natural part of how our cloud platforms, production systems, and engineering workflows are designed, deployed, and operated. As Fin continues to expand its capabilities and adoption, you'll help define how cloud security evolves alongside increasingly sophisticated systems and threat models. We're taking an AI-first approach to security, investing in areas such as AI-assisted detection engineering, automated investigations, continuous monitoring, and emerging defensive capabilities to help meet an evolving threat landscape. What will I be doing? Design and implement secure cloud architectures across our AWS environments. Build and maintain protective and detective controls that improve visibility into threats across our cloud environments. Develop detection engineering capabilities that identify attacker behaviour and reduce time to detection and response. Lead cloud security investigations and incident response activities in partnership with engineering teams. Participate in a shared on-call rotation and help coordinate containment, remediation, and recovery efforts during security incidents. Build automation that improves the scalability, reliability, and effectiveness of security controls. Partner with infrastructure teams to embed security into cloud platforms, infrastructure-as-code workflows, and engineering practices. Develop and improve cloud security standards, guidance, and best practices across Fin. Drive security initiatives from problem definition through design, implementation, and measurable outcomes. Assess emerging threats to cloud environments and help evolve our defensive capabilities. Help shape Fin's AI-first approach to security, including AI-assisted detection, automated investigations, continuous monitoring, and emerging defensive capabilities. Support the secure adoption of AI-assisted software development tools and engineering workflows. What skills do I need? Proven experience in cloud security, security engineering, detection engineering, or a closely related field. Strong experience securing and operating production AWS environments. Deep understanding of cloud security principles, modern attack techniques, and security best practices. Experience building or operating detection, monitoring, or threat detection capabilities. Hands-on experience investigating security incidents, leading technical investigations, and driving remediation efforts. Experience implementing security controls across cloud platforms and production environments. Strong programming skills and experience building automation, tooling, or operational workflows. Experience working with infrastructure-as-code practices and modern cloud-native technologies. Comfortable using modern AI-assisted development tools to improve productivity and engineering effectiveness. Ability to communicate security concepts clearly and collaborate effectively with engineering teams. A pragmatic approach to balancing security, customer impact, and engineering velocity. Bonus skills & attributes Experience building detection engineering, threat hunting, or security operations capabilities at scale. Experience with cloud-native security platforms, CNAPP technologies, or large-scale cloud security monitoring. Experience applying AI to detection, response, threat analysis, or security operations workflows. Familiarity with AWS networking, identity, and cloud security patterns. Experience working across both large-scale SaaS environments and high-growth companies. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin is transforming customer service through AI, helping businesses deliver fast, accurate, and reliable support at scale. Trust is foundational to that mission. The Cloud Security team is responsible for protecting the platforms that power Fin. We partner closely with infrastructure and product engineering teams to secure cloud environments, detect emerging threats, respond to incidents, and build the security foundations that enable teams to move quickly with confidence. The team owns critical cloud security capabilities including detection engineering, cloud security monitoring, incident response, cloud security controls, and the security tooling that protects Fin's production environments. The team is responsible for securing the cloud platforms and production systems that underpin every Fin customer interaction. The mission of the team is to help Fin build and operate trusted AI-powered customer service experiences by making security a natural part of how our cloud platforms, production systems, and engineering workflows are designed, deployed, and operated. As Fin continues to expand its capabilities and adoption, you'll help define how cloud security evolves alongside increasingly sophisticated systems and threat models. We're taking an AI-first approach to security, investing in areas such as AI-assisted detection engineering, automated investigations, continuous monitoring, and emerging defensive capabilities to help meet an evolving threat landscape. What will I be doing? Design and implement secure cloud architectures across our AWS environments. Build and maintain protective and detective controls that improve visibility into threats across our cloud environments. Develop detection engineering capabilities that identify attacker behaviour and reduce time to detection and response. Lead cloud security investigations and incident response activities in partnership with engineering teams. Participate in a shared on-call rotation and help coordinate containment, remediation, and recovery efforts during security incidents. Build automation that improves the scalability, reliability, and effectiveness of security controls. Partner with infrastructure teams to embed security into cloud platforms, infrastructure-as-code workflows, and engineering practices. Develop and improve cloud security standards, guidance, and best practices across Fin. Drive security initiatives from problem definition through design, implementation, and measurable outcomes. Assess emerging threats to cloud environments and help evolve our defensive capabilities. Help shape Fin's AI-first approach to security, including AI-assisted detection, automated investigations, continuous monitoring, and emerging defensive capabilities. Support the secure adoption of AI-assisted software development tools and engineering workflows. What skills do I need? Proven experience in cloud security, security engineering, detection engineering, or a closely related field. Strong experience securing and operating production AWS environments. Deep understanding of cloud security principles, modern attack techniques, and security best practices. Experience building or operating detection, monitoring, or threat detection capabilities. Hands-on experience investigating security incidents, leading technical investigations, and driving remediation efforts. Experience implementing security controls across cloud platforms and production environments. Strong programming skills and experience building automation, tooling, or operational workflows. Experience working with infrastructure-as-code practices and modern cloud-native technologies. Comfortable using modern AI-assisted development tools to improve productivity and engineering effectiveness. Ability to communicate security concepts clearly and collaborate effectively with engineering teams. A pragmatic approach to balancing security, customer impact, and engineering velocity. Bonus skills & attributes Experience building detection engineering, threat hunting, or security operations capabilities at scale. Experience with cloud-native security platforms, CNAPP technologies, or large-scale cloud security monitoring. Experience applying AI to detection, response, threat analysis, or security operations workflows. Familiarity with AWS networking, identity, and cloud security patterns. Experience working across both large-scale SaaS environments and high-growth companies. #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: New York, NY; Pittsburgh, PA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems , running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. About the role... We are looking for an experienced AI Research Engineer to join our Duolingo Monetization team. The ideal candidate will have a proven track record as an AI research engineer, with extensive experience across various machine learning techniques including large language models, multi-armed bandits, and more. They will have experience at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring. On the Monetization team, we’re building AI systems to improve the learning experience while driving our business, including deploying our research into bandit models to balance revenue and retention. Given the broad set of AI domains, broad experience in AI/ML is highly desirable. 🧠  You will... Join a full-stack team of frontend, backend, and other AI Research engineers, fostering a collaborative and innovative work environment. Contribute to the development and training of bandit models and large-scale neural network models. Collaborate with cross-functional teams to understand their needs, to align the models’ outputs with company objectives. Participate in and help drive strategic product and business decision-making as a member of the Monetization leadership group. Stay up-to-date with the latest developments in machine learning, particularly in LLMs and bandits, and apply this knowledge to drive advancements in our projects. Mentor team members, providing guidance and support in their professional development. Ensure the delivery of high-quality, scalable, and efficient machine learning solutions. ✅  You have... Proven experience as an AI research engineer, for example, in LLMs, bandits, computer vision, or related fields. Strong background in training and fine-tuning large models in an applied setting. Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent experience. Excellent leadership and communication skills, with the ability to manage and inspire a team. Deep understanding of machine learning concepts, frameworks, and best practices. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $220,800 — $331,200 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: Seattle, WA; San Francisco Bay Area Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. As a Staff Software Engineer on the Cloud Sandboxes team, you’ll design and build the core systems that power Docker’s cloud agentic platform. Your work will focus on creating scalable, reliable, and secure infrastructure that enables developers to deploy and manage agentic workloads efficiently and with confidence. If you thrive on solving distributed systems challenges, enjoy working at the intersection of developer experience and cloud infrastructure, and want to help shape the future of Docker’s platform, we’d love to hear from you. _______________________________________________________________________ RESPONSIBILITIES - Design, implement, and operate core services that power Docker’s Cloud Sandboxes platform - Build scalable systems for microVM orchestration, workload scheduling, and lifecycle management - Develop high-performance APIs and control plane components for managing multi-tenant workloads - Ensure system reliability, observability, and performance across Docker’s Cloud Sandbox infrastructure - Collaborate with product, platform, and security teams to deliver customer-focused capabilities - Participate in architectural discussions, code reviews, and design documents - Contribute to automation and CI/CD improvements across the deployment pipeline - Debug and resolve production issues across distributed systems in cloud environments - Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability _______________________________________________________________________ QUALIFICATIONS REQUIRED - 10+ years of backend software engineering experience building large-scale cloud or distributed systems - Strong proficiency in Go and/or Java - Deep understanding of container orchestration, Kubernetes, and microservices architecture - Experience designing and operating highly available, secure, and observable production systems - Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and related scalability patterns - Familiarity with CI/CD pipelines, monitoring, and infrastructure-as-code tooling - Excellent problem-solving and debugging skills in distributed environments - Strong communication skills and ability to collaborate across remote, cross-functional teams - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. PREFERRED - Experience contributing to cloud-scale compute platforms or container infrastructure products - Knowledge of service mesh, networking, or policy enforcement systems - Experience with observability stacks (Prometheus, OpenTelemetry, Grafana, etc.) - Familiarity with security best practices for multi-tenant cloud systems - Prior experience in developer infrastructure, cloud platforms, or hyperscale environments Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: New York WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Senior Research Engineer in our Safety team, you will play a key role in helping develop safer, more secure, and more reliable models. Your primary focus will be on building tools to enable easy data synthesis, analysis, and management, for complex combinations of real and synthetic data that is used in both model training and evaluation. You will own the cohesive vision of these tooling repositories. You will work closely with a team of research scientists and engineers to create tooling that enables tighter experimentation cycles, better data coverage of the real world, and more scientific rigour. You will have a lot of autonomy and need to be opinionated about what areas of the codebase need elegance and standards, and where that would be overengineering. You will be given high level experimental problems that need to be solved with efficient pipelines, and design and implement the solutions. Your data analysis will collaboratively feed into modelling decisions and experimentation. This role combines expertise in software engineering, statistics, and data science. If any of these topics sound interesting to you, we encourage you to apply. You will be working on the Modelling Safety and Trust team, so interest in these areas is a plus, but is not at all required. Please Note: We have offices in London, Edinburgh, Paris, Toronto, Montreal and New York, but we also embrace being remote-friendly! This role has timezone restrictions (UK, Europe, or ET) but no location restrictions. Key Responsibilities: - Design and implement robust data pipeline tooling that enables frequent, low-friction data generation and annotation - Create cohesive data infrastructure that supports continuous parallel operation with model experimentation - Establish standardized processes for data validation, analysis, and improvement of data both training and evaluation - Collaborate with the ML modeling team to align data capabilities with experimental needs - Maintain opinionated, well-documented solutions that become team standards - Develop systematic analysis frameworks to identify incoming data sources and benchmark coverage gaps Qualifications: - Extremely strong software engineering skills. - Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance. - Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch) and Big Data Analytics (e.g. BigQuery, SQL) - Demonstrated ability to own complex technical projects from conception to deployment - Opinionated approach to technical architecture with ability to make principled decisions - Understanding of ML data requirements and the intersection of data engineering with modeling workflows Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.   FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Warsaw Workplace: OnSite - Senior Electronics Engineer - Department: Engineering - Location: Warsaw, Poland - Reports to: Engineering Lead, AOCS Hardware - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO)   THE MISSION OF THE SENIOR ELECTRONICS ENGINEER You ensure that our AOCS system delivers reliable and consistent performance through innovative power electronics design and precision control systems. Beyond this, you will also have the opportunity to design other high-speed, high-power, and high-reliability electronics supporting ICEYE's growing constellation of diverse spacecraft. This role is within the Attitude and Orbit Control domain where we are responsible for developing and maintaining the power electronics and control systems that enable our AOCS capabilities. Your job will be to work closely with production teams, operations teams, and software teams to ensure smooth and performant operation of our propulsion systems in development and deployed environments. Expect to be involved in the complete lifecycle of the system - from design phases of next-generation propulsion architectures to maintenance and optimization of existing systems we and our customers operate. We move fast. At ICEYE, you are expected to understand the whole system - not just your slice of it - and to iterate quickly. Designs you work on today can be launching to orbit within months, not years. This is an environment where your decisions carry real weight and your work becomes tangible faster than almost anywhere else in the industry. You will have a direct impact on mission success as the performance and reliability of our AOCS electronics directly affect the operational capabilities we deliver to our customers and the overall performance of our fleet. 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 full design lifecycle of flight hardware - from first schematics and component selection through bring-up, functional and environmental testing, launch, and on-orbit operations - creating a tight learning and improvement loop at every stage - Develop a deep understanding of the complete AOCS system, including the interplay between power electronics, control systems, and the spacecraft subsystems they drive - Lead the design of power electronics and control electronics for AOCS hardware, including power conversion, distribution, and precision control circuits - Design and optimize power electronics for efficiency, thermal management, and performance across all operational environments - Develop precision analog and data acquisition circuits for power measurement, voltage/current monitoring, signal conditioning, and feedback control - Troubleshoot and resolve issues across the full lifecycle - design, prototyping, manufacturing, field operation, and on-orbit anomalies - Work closely with firmware engineers, FPGA engineers, software developers, and mechanical and thermal engineers to ensure seamless integration - Mentor junior engineers to continuously raise the bar on design and testing practices WHAT WE’RE LOOKING FOR: MUST HAVES: - MSc in Electrical Engineering, Electronics Engineering, or related field with 5+ years of professional experience in high-voltage electronics - Proven expertise in high-voltage electronics (250V+) design, high-voltage topologies, switching architectures, power management, and low-noise power supply design - Advanced analog circuit design: precision measurement, sensor interface and signal conditioning, low-noise amplifier design, and transimpedance circuits - Advanced proficiency with circuit simulation and PCB design tools like, LTSpice and Altium. - Understanding of high-speed signal design: signal integrity, timing analysis, and EMI/EMC principles for noise mitigation in high-voltage switching environments - Experience designing embedded control hardware for power electronics: microcontroller interfaces (ADC, PWM, GPIO), protection circuits (overcurrent/overvoltage detection), fault handling, and safe-state transitions - Experience designing serial communication hardware (RS485, UART) with proper isolation, impedance matching, and protection - Ability to work closely with firmware engineers to define hardware interfaces, protection circuits, telemetry acquisition and develop joint verification test cases - Excellent communication skills and ability to work effectively across multidisciplinary teams NICE TO HAVES: - Hands-on experience with environmental testing (vibration, thermal, radiation, vacuum) and harsh operating conditions - Fundamental understanding of control systems, feedback loops, and closed-loop circuit design - Experience designing solenoid valve driver circuits for high-current on/off switching, including flyback protection and inductive load management - Experience with wide-bandgap semiconductor technologies (GaN, SiC MOSFETs) - Experience with design for manufacturability (DFM) and cost optimization - Proficiency in programming languages (C, Python) for firmware integration or hardware characterization     APPLICATION PROCESS - Talent Acquisition Interview - Hiring Manager Interview - Technical Interview (onsite or virtual), including a Technical Challenge - Hiring Team Interview - Offer Decision 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: Remote About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is building one of the world's leading AI infrastructure and cloud platforms. We are looking for a Pricing & Monetization Lead to define how Nebius monetizes its infrastructure, products, and capacity. This role owns the company's pricing strategy, monetization frameworks, discount governance, and pricing decision-making. Working at the intersection of Strategy, Finance, Infrastructure, Product, and Sales, you will ensure that pricing decisions support long-term growth, capacity utilization, and profitability objectives. You will partner closely with Unit Economics, Market Intelligence & Packaging, Deal Desk, and Finance teams to build a scalable pricing system capable of supporting rapid growth and increasingly complex commercial decisions. Your responsibilities will include: Pricing Strategy & Frameworks • Own company-wide pricing strategy across GPU infrastructure, Cloud products, Token Factory and all future offerings. • Define and maintain list pricing, pricing tiers, commitment pricing structures, and regional pricing approaches. • Ensure pricing frameworks remain aligned with business strategy, capacity availability, profitability targets and SOX procedures. Monetization & Unit Economics Translation • Translate unit economics and margin objectives into commercial pricing decisions. • Partner with Unit Economics team to define pricing floors, establish target margin ranges, and evaluate profitability by SKU, region, and customer segment. • Balance revenue growth, margin performance, and capacity utilization. • Support monetization decisions for new products, infrastructure, and commercial models. Discount Governance & Commercial Policy • Own Nebius discount framework and approval logic. • Define discount matrixes, pricing guardrails, approval thresholds, and escalation criteria. • Ensure consistent application of pricing rules across all commercial teams. Pricing Performance Management • Monitor realized pricing, discount trends, margin realization, and pricing compliance. • Identify pricing leakage and monetization opportunities. • Lead regular pricing review forums with stakeholders. We expect you to have: • 7–12 years in Pricing, Monetization, Revenue Strategy, Commercial Finance, or Corporate Strategy. • Experience in Cloud Infrastructure, AI Infrastructure, SaaS, Telecom, or Marketplace businesses. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Berlin, Remote Workplace: remote Our Solution Expert team plays a key role in supporting strategic customers in RUN phase, by acting as trusted advisors on complex use cases. Working closely with Sales, Product, and Customer Success, they analyze advanced client needs, challenge existing setups, and translate requirements into scalable solutions within the 360Learning platform.   You will manage a portfolio of customers throughout their lifecycle to drive product adoption and deliver tailored solutions beyond standard product capabilities.   These large and strategic accounts have already deployed the platform and have a strong level of autonomy. They rely on your technical and functional expertise to lead complex integrations (APIs, flat files, third-party tools), redesign platform architecture, run solution audits, and provide high-level recommendations to maximize business impact and long-term value. Within 1 month, you will: Become a Trello expert through our onboarding process Understand our product offering through training Master our platform and be able to support clients on basics requests through ticketing Within 3 months, you will: Own your portfolio of 10 enterprise clients & leading up to 30 active projects simultaneously Start to answer questions coming from your portfolio of clients Support the Customer Success partner on functional and technical questions Successfully implement integration (SSO, third-party tools), deliver technical expertise on how to integrate their learning platform to their technical environment & troubleshooting Within 6 months, you will: Be able to pitch the value of the 360Learning platform Develop repeatable and scalable processes to improve project quality and delivery Support Strategic customers all along their contract from an expertise standpoint Deliver Professional Services to our existing customers base Within 12 months, you will: Onboard another Solution Expert Contribute to our knowledge base to share best practices and lessons learned Work with our partner ecosystem to strengthen the services proposed to our clients Deliver platform audits to clients Deliver professional services proposed in our Professional Service catalogue The Skill Set 3 years of professional consulting experience, preferably in a customer facing role (Level 2 or 3 support agents, Technical consultant, Technical Account Manager) Previous deployment experience of SaaS products, ideally HR related Project management skills Good understanding and experience working with APIs, SSO configuration & troubleshooting Solution-oriented, client-first mindset in everything you do Ability to adapt to your audience, flexibility in tackling a conversation with highly technical stakeholders, and reducing complexity to more common terms with less technical stakeholders Organized, structured, rational, analytical, able to manage priorities across multiple customer implementations Full professional proficiency in French, English, and German Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What We Offer Compensation: Package includes base salary, a variable component and equity 📈 Benefits: Work From Home perks, 1 month parental leave for the second parent. Balance: Flexible hours, Total work from home possible anywhere in Germany 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 The Interview Process Phone Screen with our Talent Acquisition Manager Discovery Meeting with a Solution Expert Case Study Meeting with 2 Solution Expert Coach and a Solution Expert Clarification Meeting with our Head of Professional Services Culture Fit Meeting with our Chief Human Resources Officer Offer ! ⇾ Get ready using our Knowledge Base: https://bit.ly/42H1ggC Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Melbourne, Australia About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. Minimum qualifications: Bachelor's degree or equivalent practical experience. 7+ years of experience meeting or exceeding quotas selling technical solutions and enterprise software products. Experience executing complex enterprise sales cycles using structured methodologies (e.g., MEDDPICC, consultative selling, or value selling). Experience presenting to and managing relationships with C-level executives. Ability to communicate effectively across both business and technical stakeholders. Preferred qualifications: Experience selling SaaS, data platforms, information management tools, data science/warehousing, AI/ML, or related fields. Experience with commercial open-source software (COSS) business models, including selling subscriptions for on-premise, hybrid, and cloud deployments. Deep knowledge of the broader data landscape, including cloud provider ecosystems (AWS, Google Cloud, Azure), ETL, and Generative AI integrations. Proven track record in a agile, high-growth software environment, effectively leveraging dedicated cross-functional resources (BDRs, Field Marketing, Pre-Sales). Strong conviction and architectural understanding of where graph solutions deliver distinct competitive advantages over alternative database approaches. About the job As a Senior Account Executive, you'll play a key role in driving Neo4j's growth in Australia by helping organisations unlock the value of AI. You will serve as a strategic advisor to enterprise organisations, demonstrating how Neo4j makes AI more reliable, trustworthy, and accurate. In this role, you will own and drive complex sales cycles from initial land to strategic expand, aligning technical capabilities with high-value business outcomes. You will blend enterprise sales strategy, market knowledge, and ecosystem collaboration to establish Neo4j as a mission-critical partner in their AI journey. Neo4j is the world leader in graph intelligence technology, helping organisations capture real-world context to drive choices for applications like artificial intelligence, fraud detection, and recommendation engines. We deliver enterprise-grade solutions that enable organisations to unlock the value of their AI investments. Customers across the globe turn to Neo4j as their trusted partner to solve their most critical data problems and accelerate AI transformation. Responsibilities Develop and execute a comprehensive territory and account plan to build a robust pipeline, consistently meeting or exceeding quarterly and annual sales metrics. Execute end-to-end, value-driven enterprise sales cycles, employing "Land & Expand" strategies to scale Neo4j adoption within target accounts. Orchestrate cross-functional teams - providing clear direction and guidance to assigned Business Development Representatives, Field Marketing, and Channel Directors - to optimise pipeline development and partner ecosystems. Partner closely with Pre-Sales Engineering resources to scope, qualify, and deliver impactful Proof of Concepts (POCs) and technical proposals that secure customer buy-in. Foster and leverage strategic co-sell relationships with local public cloud partners, including AWS, Google Cloud, and Microsoft Azure. Maintain rigorous CRM hygiene within Salesforce.com, ensuring accurate pipeline data, reporting, and forecasting in alignment with corporate guidelines. Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: Abu Dhabi, UAE; Hong Kong SAR; Kuala Lumpur, Malaysia About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. (Suitable candidates has to relocate to Hong Kong, KL Malaysia or Abu Dhabi) Key Responsibilities Agent SDK & Runtime — Design and implement the orchestration engine, runtime, and core primitives; ensure the agentic loop is both steerable and verifiable while remaining conversational and adaptive. MCP Matrix Expansion — Wrap internal systems as MCP servers / sub-agents / agent skills; unify tool discovery, dynamic registration, RBAC, rate limiting, and version management. Agent Development Lifecycle (ADLC) — Build toolchains adapted to the non-deterministic behavior of agents, covering the full loop: Spec → Eval → Build → Test → A/B → Canary → Monitoring → Iteration. End-to-End Ownership of Effectiveness & Cost — Own accuracy, resolution rate, cost, and latency metrics; build agent personalization optimization loops through data feedback. Requirements Education & Experience: Bachelor's degree or above in CS/SE or related field; 6+ years of engineering experience with 3+ years focused on AI/Agent systems; candidates with 8+ years and hands-on 0-to-1 Agent platform delivery are strongly preferred. Engineering Foundation: Proficient in Go or Python; capable of production-grade system design and TRD documentation. LLM Application Engineering: Deep expertise in LLM APIs, Prompt Engineering, ReAct patterns, and context window management (token budgeting / history compression / sub-agent compression). Production-Grade Agent Experience: Full 0-to-1 launch with continuous iteration loop — clearly distinguished from Demo/POC work. Agent Engineering Practice: Familiar with at least one orchestration framework (LangGraph / Dify / Eino / Embabel / OpenAI Agents SDK, etc.); hands-on experience with Multi-Agent collaboration (Agent Teams / parallel / DAG / Handoff). Adjacent Agent Capabilities: Deep expertise in at least one of: RAG engineering (vector retrieval, Hybrid Search, Reranking) or evaluation systems (LLM-as-Judge, Golden Set, regression testing, A/B). Engineering Mindset: Ability to quantify effectiveness and cost (token optimization thinking); understanding of PII desensitization and prompt injection protection; ability to identify compliance boundaries in financial scenarios. Bonus Points 0 to-1 experience building an Agent simulation / benchmarking platform (τ-Bench scale) Private LLM deployment: vLLM / Triton / DeepSeek / Qwen / GLM Domain expertise: Crypto AI (risk control / KYC / compliance), AIOps (alert RCA / diagnostic tooling), customer service AI, code AI AI security research: published work on prompt injection, jailbreak defense, Smart Contract AI security, etc. Open-source contributions to LangChain / LangGraph / Dify / MCP / Eino / Vercel AI SDK or similar Public technical influence: blog posts / conference talks / papers / OSS projects Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We are looking for a Product Security Engineer to build the systems that triage and validate bug bounty and other externally reported security findings, not to work the queue. This role suits a software engineer moving into security or a security engineer with a strong engineering background. You will build large language model (LLM) and agent-based tooling that validates findings, traces them to their root cause, and opens fixes for well-understood vulnerability classes. This is a hybrid role based in San Francisco or New York City, with three days a week in the office. What you’ll do Build the systems that take in externally reported vulnerabilities and assess validity, severity, and reproducibility at a volume manual triage cannot match Build LLM and agent-based analysis that validates business logic, authentication, and design-level findings, not just known signatures Build systems that trace validated findings to their root cause and propose, and increasingly open, fixes for well-understood vulnerability classes, with human review gates Own the bug bounty program, including scope, policy, and researcher engagement, and feed every resolved report back into automated triage Extend the tooling into security testing capabilities that customers can use on what they build and deploy What you need 5+ years of software engineering or security engineering experience, building and shipping production systems or internal tools Wrote production code in JavaScript/TypeScript on Node.js, with hands-on experience in web frameworks such as Next.js or React Built with LLM or agent-based tooling Reproduced and assessed externally reported vulnerabilities, including judging severity Bonus if you Built security automation used across an engineering org, not just for your own team Built systems that auto-generate or propose code fixes, not just findings Tested or secured multi-tenant platforms where customer-built applications run on shared infrastructure Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000.00 - $312,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Remote - United States About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role We're looking for a Security Engineer to join our Cloud Security Engineering team. In this role, you'll help strengthen the security of our platform by building and improving the controls that protect our infrastructure. You'll play a key role in making security a core part of how we build, deploy, and scale our systems, while helping the company grow securely and confidently. You'll report to the Security Operations Manager, and this is a hybrid or fully remote within the United States. If you're based within commuting distance of our SF or NY offices, the role includes in-office anchor days on Monday, Tuesday, and Friday. What you'll do Design and implement scalable security controls across our cloud-native platform. Harden infrastructure components using infrastructure-as-code, policy enforcement, and service isolation. Build secure by default infrastructure and code CI/CD pipelines. Collaborate with platform and infrastructure teams to integrate security best practices into architecture and workflows. Stay ahead of cloud security trends and adopt cutting-edge technologies to enhance platform resilience. Conduct threat modeling, risk analysis, and mitigation planning for critical systems. Drive improvements in monitoring, detection, and incident response at the platform level. Build, deploy and maintain relevant tooling. What you need 8+ years of experience in infrastructure or platform security roles. Deep understanding of secure cloud infrastructure (AWS/GCP), identity and access management, and system hardening. Proficient with tools like Terraform, CDK, Kubernetes, and CI/CD security. Skilled at balancing engineering realities with principled security practices. Proven track record of shipping secure, resilient systems at scale. Bonus if you Have built or scaled security automation pipelines. Contributed to open-source security projects or tools. Hold certifications such as GCP Security Engineer, AWS certifications, CISSP, or OSCP. Hold a bachelor's or master's degree in Cybersecurity or similar disciplines. Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000.00 - $312,000.00. This salary range is an estimate. Actual salary will be based on job related skills, experience and location. Pay ranges outside San Francisco may be adjusted based on employee location. The total compensation package also includes benefits and equity-based compensation. Your recruiter can share more about the specific pay range for your location during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: North Macedonia; Romania; Bulgaria; Slovakia; Slovenia; Bosnia and Herzegovina About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is a rapidly growing AI-powered validation technology company serving pharmaceutical, biotechnology, and medical device innovators globally. Their platform helps life sciences organizations dramatically reduce validation costs, accelerate compliance workflows, and streamline complex digital validation processes through intelligent automation and AI-driven assurance. As the company continues its growth journey, they are expanding their engineering team to support a growing international customer base. Job Summary We are seeking a Junior Support Engineer to join a fast-growing software company operating at the intersection of AI and life sciences. This role is ideal for an early-career software engineer who enjoys solving technical problems, debugging applications, and helping customers succeed. As the first line of technical support, you will investigate customer issues, troubleshoot application problems, implement fixes, and communicate solutions clearly to customers. You’ll work closely with Product, QA, and Engineering teams while gaining hands-on experience across modern web technologies including Next.js, React, Node.js, TypeScript, and Supabase. This is an excellent opportunity for someone looking to grow their software engineering career in a supportive startup environment. Key Responsibilities Quickly learn and understand the company’s Next.js, React, Node.js, and Supabase application architecture. Investigate customer-reported issues and reproduce bugs within the application. Use Cursor or similar AI-assisted development tools to inspect code, analyze call stacks, and identify root causes. Develop and deploy maintainable TypeScript fixes across both frontend and backend systems. Improve edge-case handling, application reliability, and performance. Write clear and customer-friendly email responses explaining technical issues and resolutions. Support customers professionally and calmly during high-pressure situations. Collaborate with Product, QA, and Engineering teams to prioritize urgent issues and releases. Contribute to internal documentation, knowledge bases, and support runbooks. Help improve monitoring, alerting, and recurring issue prevention processes. Requirements Experience with Next.js, React, Node.js, TypeScript, Supabase, SQL, and Cursor or similar AI-assisted development tools. Strong debugging, troubleshooting, and problem-solving abilities. Solid understanding of software engineering principles, coding best practices, and modern development workflows. Ability to work independently, manage priorities, and execute tasks with minimal supervision. Excellent written English communication skills with the ability to explain technical concepts clearly to customers. Customer-focused mindset with strong interpersonal skills and the ability to remain calm under pressure. Experience communicating directly with customers regarding technical issues is highly preferred. Experience building, shipping, or maintaining software applications independently is a plus. Exposure to SaaS products, technical support, or support engineering environments is advantageous. Familiarity with version control systems and collaborative software development practices. Interest in AI, healthcare technology, biotechnology, or life sciences industries is beneficial. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 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: Amsterdam, Netherlands; Remote - Europe About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We are looking for a Technical Program Manager to own the operational readiness and ongoing health of our fleet of Data Centers, both COLO and BTS sites. In this role you will be the single point of accountability for ensuring each site runs as expected — SLAs met, maintenance executed on schedule, and audits passed — across a growing portfolio of landlord-operated and purpose-built facilities. You will operate as the primary interface between Nebius and our data center landlords and operators, and you will partner closely with the Nebius IT team to translate site-level operations into reliable infrastructure for our customers. This is an individual contributor position for someone who is equally comfortable in a contractual SLA review, a maintenance window planning call, and a physical site audit. You will define the mechanisms that keep our sites accountable and surface risk before it becomes an incident. Key job responsibilities Own the operational health of Nebius COLO and BTS sites, ensuring each facility runs to expectation across power, cooling, space, connectivity, security, and environmental controls. Track, monitor, and enforce SLA compliance across landlords and colocation providers; identify breaches, drive remediation, and hold providers accountable to contractual commitments. Manage and coordinate site maintenance schedules — preventive and corrective — including planning and approving maintenance windows, reviewing Methods of Procedure (MOPs), and minimizing risk to live workloads. Plan and drive site audits covering compliance, capacity, power/cooling performance, physical security, and safety; track findings to closure. Serve as the primary day-to-day interface with data center landlords and operators, managing the operational relationship, escalations, and coordination of on-site activity. Partner closely with the Nebius IT team on deployments, capacity planning, incident response, and change management at each site. Build reporting mechanisms and dashboards that give leadership clear visibility into site health, SLA performance, maintenance status, and open risk across the portfolio. Lead incident coordination and post-incident follow-up, including root cause analysis and corrective action tracking with landlords and internal teams. Track and manage contractual operational obligations, deliverables, and timelines across multiple sites and providers simultaneously. About the team The Data Center team is responsible for the physical infrastructure that underpins Nebius' AI cloud. We manage the full lifecycle of our COLO and BTS footprint — from bringing new capacity online to keeping live sites running reliably at scale. We work at the intersection of facilities operations, vendor management, and IT infrastructure, and we move fast because our customers' AI workloads depend on the reliability we deliver. Basic qualifications 10+ years of experience in technical program management, data center operations, or critical facilities/infrastructure management. Experience managing data center infrastructure and operations (power, cooling, space, connectivity) in colocation, build-to-suit, or owned environments. Experience managing third-party vendors, landlords, or service providers against SLAs and contractual obligations. Demonstrated ability to manage multiple programs, sites, or workstreams simultaneously and drive them to measurable outcomes. Bachelor's degree in a relevant field, or equivalent practical experience. Preferred qualifications Direct experience with colocation (COLO) and build-to-suit (BTS) data center models, including operating across multiple landlords and operators. Working knowledge of data center SLAs, MOPs/SOPs, maintenance regimes, and audit and compliance frameworks (e.g., Uptime Institute Tier standards, SOC 2, ISO 27001). Experience supporting AI/HPC, GPU cluster, or other high-density compute infrastructure. Strong familiarity with incident management and root cause analysis in a critical facilities context. Experience building reporting mechanisms, dashboards, or operational scorecards for infrastructure health and risk. PMP, Uptime ATD, or equivalent program/operations certification. Proficiency with program and ticketing tools (e.g., Jira, ServiceNow) and comfort working with operational data. Willingness to travel to sites as needed. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Malmö About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team: The managed cloud offering from Neo4j is called Aura (DBaaS) and we are now looking to expand our Aura team with more skilled Engineers. As of today, Aura is running hundreds of managed Kubernetes clusters in production across multiple CSPs and brings the power of the Neo4j Graph Intelligence Platform. Now, we are looking for experienced Software Engineers with Kubernetes experience to join our Networking team to develop the system further to handle future load and functionality. The Role: Collaborate with your team to design, develop, and maintain the cloud networking foundation that powers our cutting-edge solutions. Partner closely with teams across Neo4j’s cloud organization, Aura, to shape and deliver an ambitious roadmap for cloud networking as we scale globally. Tackle complex and exciting engineering challenges in a rapidly growing area of focus, where your work will directly influence the performance, reliability, and scalability of our platform. Required areas of experience: Advanced knowledge of Google Cloud, AWS and/or Azure Agile software development within a team environment Good working knowledge of Go Experience building and operating software on Kubernetes Cloud Networking and Kubernetes Networking fundamentals Working in a 24/7/365 SaaS environment Solid understanding of DNS, TLS, mTLS, SNI and L4/L7 Proxies (Envoy) Build and deployment pipelines employing continuous delivery Nice to have areas of experience: Multi Tenancy Environments GCP Private Service Connect AWS/Azure PrivateLink Writing Kubernetes Operators Kubernetes internal networks (Cilium, eBPF, Traefik, Calico, Linkerd, Istio, Consul) Kubernetes network security Architecting for high availability #LI-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: London About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team: The managed cloud offering from Neo4j is called Aura (DBaaS) and we are now looking to expand our Aura team with more skilled Engineers. As of today, Aura is running hundreds of managed Kubernetes clusters in production across multiple CSPs and brings the power of the Neo4j Graph Intelligence Platform. Now, we are looking for experienced Software Engineers with Kubernetes experience to join our Networking team to develop the system further to handle future load and functionality. The Role: Collaborate with your team to design, develop, and maintain the cloud networking foundation that powers our cutting-edge solutions. Partner closely with teams across Neo4j’s cloud organization, Aura, to shape and deliver an ambitious roadmap for cloud networking as we scale globally. Tackle complex and exciting engineering challenges in a rapidly growing area of focus, where your work will directly influence the performance, reliability, and scalability of our platform. Required areas of experience: Advanced knowledge of Google Cloud, AWS and/or Azure Agile software development within a team environment Good working knowledge of Go Experience building and operating software on Kubernetes Cloud Networking and Kubernetes Networking fundamentals Working in a 24/7/365 SaaS environment Solid understanding of DNS, TLS, mTLS, SNI and L4/L7 Proxies (Envoy) Build and deployment pipelines employing continuous delivery Nice to have areas of experience: Multi Tenancy Environments GCP Private Service Connect AWS/Azure PrivateLink Writing Kubernetes Operators Kubernetes internal networks (Cilium, eBPF, Traefik, Calico, Linkerd, Istio, Consul) Kubernetes network security Architecting for high availability #LI-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.