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Location: San Francisco, CA or Seattle, WA 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. _______________________________________________________________________ Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance—so developers can focus on building incredible AI agents, not gluing together infrastructure. The Gateway sits at the center of modern AI applications, offering: - A model and tool routing layer with built-in security and cost optimization - A familiar OpenAI-compatible interface and MCP server - Unified observability and policy enforcement - Auto-RAG, tool injection, session summarization, and more We’re just getting started—and we need exceptional engineers to help us build the backbone of the future of agent-based development. WHAT YOU’LL DO - Design and implement core systems powering the AI Gateway, including the model router, MCP gateway, and control plane - Build infrastructure that supports dynamic model selection/routing, auto-failover, cost-based routing, and policy enforcement - Own critical capabilities such as secure credential storage, session summarization, caching, and rate limiting - Develop APIs for developers building with OpenAI-compatible interfaces and the Model Context Protocol - Build the underlying infrastructure to support evaluation, telemetry, replay, and backtesting for agents and LLM workflows - Lead architectural decisions and mentor engineers as the team scales - Performance tuning - caching, session summarization, and rate limiting that keep the gateway fast under real production load - Contribute to roadmap planning, technical strategy, and cross-functional alignment KEY PROBLEMS YOU’LL HELP SOLVE - Building a unified abstraction over fundamentally different model and tool providers without leaking their differences into the developer experience - Making credential and identity handling for tool access both airtight and fast - Giving developers real-time and historical visibility into what their agents are doing, with policy enforcement that can't be bypassed - Keeping latency low and reliability high as traffic scales from early adopters to production fleets WHO YOU ARE Required Qualifications: - 6+ years of backend engineering experience with production-grade systems - Deep knowledge of distributed and highly scalable systems, cloud-native infrastructure, and API design - Experience building secure, high-throughput services (e.g., gateways, proxies, load balancers, policy engines) - Fluency in Go, and/or Rust (both preferred) - Familiarity with AI/ML platforms or model serving infrastructure - A strong product mindset—you're excited about building developer-facing tools - Ownership mentality with a bias for shipping, learning, and iterating - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience Bonus Qualifications: - Prior experience with OpenAI, Anthropic, or similar LLM APIs - Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI) - Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways - Understanding of OAuth2.1, secret management, and cloud IAM systems - Experience with Kubernetes, Docker, and microservices architecture WHY JOIN US? - Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software. - Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications. - Impact at scale: Your work will touch tens of thousands of developers building AI-first applications. - Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking. - Remote-first culture: Work from anywhere with a team that trusts and empowers you. Docker considers visa sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $160,900 – $260,700 + equity ______________________________________________________________________ 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: San Francisco, CA or Seattle, WA 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. _______________________________________________________________________ Docker AI Gateway is our answer to the complexity of taking AI agents from prototype to production. It’s a powerful, intelligent, and secure control point that eliminates the toil of model orchestration, tool management, observability, and governance - so developers can focus on building incredible AI agents, not gluing together infrastructure. The Gateway sits at the center of modern AI applications, offering: - A model and tool routing layer with built-in security and cost optimization - A familiar OpenAI-compatible interface and MCP server - Unified observability and policy enforcement - Auto-RAG, tool injection, session summarization, and more We’re just getting started and we need exceptional engineers to help us build the backbone of the future of agent-based development. WHAT YOU’LL DO - Set technical direction for core systems powering the AI Gateway 0 the model router, MCP gateway, and control plane - and make sure architectural decisions hold up as usage scales by 10x - Consistently identify gaps in our infrastructure, process, or tooling before they become blockers, and drive the fix from idea to production - Take a significant, hands-on role in defining, delivering, and implementing the Gateway's technical strategy, in close partnership with engineering leadership - Own the hardest, highest-ambiguity problems in the system: dynamic model selection, auto-failover, cost-based routing, and policy enforcement that has to work end-to-end - Act as the go-to expert for secure credential storage, session summarization, caching, and rate limiting - the capabilities everything else depends on - Build the infrastructure that lets us, and our customers, evaluate, replay, and backtest agent and LLM behavior with confidence - Mentor senior and mid-level engineers, and raise the technical bar for the team through code, design review, and example - Partner with product, design, and leadership to shape not just what the control plane UI does, but where the product goes next KEY PROBLEMS YOU’LL HELP SOLVE - Define the unified abstraction layer across diverse model and tool providers (OpenAI, Anthropic, Google, AWS Bedrock) that the rest of the org builds on - Architect secure, scalable identity and credential vaulting for tool and model access, trusted enough to run at enterprise scale - Build the infrastructure for real-time and historical analytics of AI agent behavior that leadership and customers both rely on - Guarantee that policy enforcement and logging work end-to-end - from prompt to tool to response - with no gaps an auditor (or attacker) could find - Set the bar for developer experience through intuitive APIs and first-class observability WHO YOU ARE Required Qualifications - 8+ years of backend engineering experience, with a track record of owning production-grade systems at significant scale - Deep specialization in distributed systems, cloud-native infrastructure, and API design - recognized by peers and cross-functional partners as a go-to expert, not just experienced - Experience building secure, high-throughput services (gateways, proxies, load balancers, policy engines), and a history of making judgment calls other engineers rely on - Fluency in Go and/or Rust - A track record of identifying systemic gaps - in architecture, process, or tooling-— and driving the fix across team boundaries, not just within your own - A strong product mindset, with real experience shaping technical direction rather than only executing against it - Comfortable operating with wide latitude: given a problem and significant autonomy in how to solve it, including when and who to pull in - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience BONUS QUALIFICATIONS - Prior experience with OpenAI, Anthropic, or similar LLM APIs - Familiarity with RAG architectures, vector databases, or agent frameworks (e.g., LangChain, AutoGPT, CrewAI) - Experience with policy engines (e.g., OPA), observability frameworks (e.g., OpenTelemetry), or API gateways - Understanding of OAuth 2.1, secret management, and cloud IAM systems - Experience with Kubernetes, Docker, and microservices architecture - A track record of setting technical standards that other teams or engineers went on to adopt WHY JOIN US? - Work on what’s next: The agent era is just beginning. Help define the infrastructure stack for the next generation of software. - Own mission-critical infrastructure: Be part of a small team building the backbone of secure, intelligent agent applications. - Impact at scale: Your work will touch tens of thousands of developers building AI-first applications. - Engineering excellence: Join a world-class engineering team that values simplicity, code quality, and deep technical thinking. - Remote-first culture: Work from anywhere with a team that trusts and empowers you. Docker considers sponsorship on a case-by-case basis based on business needs.   Compensation & Equity United States: $170,350 – $275,550 + equity ______________________________________________________________________ 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 GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As the Manager, Customer Success Engineers, you’ll lead a team of technical specialists who drive GitLab adoption and value realization at scale across the Americas. You’ll design and run scalable technical enablement programs that help customers unlock business outcomes from GitLab across source code management, CI/CD, DevSecOps, and Agile planning, while building repeatable frameworks to remove adoption barriers. Reporting to the Senior Director of Customer Success Managers, you’ll combine deep DevSecOps expertise with strategic program development, partnering closely with Sales, Renewals, and cross-functional teams to turn technical insights into commercial impact, reduce churn risk, and surface expansion opportunities. In your first year, you’ll be focused on establishing clear metrics for technical value, strengthening voice-of-the-customer feedback loops with Product and Engineering, and elevating the effectiveness and impact of the Customer Success Engineering team across a pooled book of business in the AMER region. What you’ll do Lead a distributed team of Customer Success Engineers in the Americas to drive GitLab adoption and technical value realization across a pooled book of business. Develop and execute scalable technical enablement strategies and programs that help customers use GitLab for source code management, CI/CD, DevSecOps, and Agile planning. Drive creation of repeatable frameworks and systematic solutions that remove adoption barriers and support measurable customer business outcomes. Collaborate closely with Sales, Renewals, and Customer Success Managers to align technical enablement with commercial objectives, supporting retention and expansion across accounts. Use data and performance indicators to assess program effectiveness, identify adoption trends, and adjust technical initiatives for greater impact at scale. Mentor and coach team members to strengthen their DevSecOps expertise, customer engagement skills, and ability to translate technical capabilities into business value. Champion the voice of the customer by translating field insights and technical pain points into actionable feedback for Product, Engineering, and other cross-functional teams. Partner with internal stakeholders to ensure customer feedback, feature requests, and adoption insights inform roadmap priorities and improvements to the overall customer experience. What you’ll bring Strong understanding of DevSecOps practices, with the ability to connect GitLab capabilities across source code management, CI/CD, security, and Agile planning to tangible business outcomes. Experience leading and developing technical teams in a distributed, remote environment, with a focus on customer outcomes and scalable impact. Background in software development or engineering that enables you to guide technical conversations, remove adoption barriers, and design effective enablement paths. Experience designing and implementing scalable customer success or technical enablement programs, using data to measure impact and refine approaches. Ability to translate complex technical concepts into clear, outcome-focused messaging for both technical and non-technical stakeholders. Proven skill in collaborating with Sales, Renewals, and other cross-functional teams to align technical adoption work with commercial objectives. Comfort using customer insights and feedback to influence internal priorities, including product, process, and program decisions. Openness to diverse backgrounds and transferable skills, with a growth mindset toward learning GitLab’s platform and evolving DevSecOps practices. About the team We're the Customer Success Engineering team within the broader Customer Success organization. We're a distributed, remote group that collaborates asynchronously across time zones, using GitLab and our handbook-first approach to coordinate work rather than relying on dedicated account assignments. This structure helps us deliver a consistent customer experience, quickly share learnings across accounts, and continuously improve how we support customers. How GitLab will support you Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental leave Home office support Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $124,800 — $210,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Remote - US Role Overview This is a senior individual contributor role with significant architectural ownership. You will set the technical direction for how Backblaze detects, correlates, and responds to infrastructure incidents across our data centers, and you will mentor other engineers on the team as that platform matures. If you have a passion for making complex distributed systems visible, you are comfortable making architecture decisions that will outlive your tenure, and you are excited about applying AI and agentic automation to infrastructure operations, this role was built for you.. Key Responsibilities Technical Leadership Set technical direction and standards for observability across the organization, including instrumentation conventions, alerting philosophy, and dashboard design patterns. Mentor engineers on the Observability team and act as a technical resource for SRE, Storage Engineering, and Network Engineering on observability practice. Lead design reviews for observability work and represent the team in cross-functional architecture discussions. Evaluate build-versus-buy decisions for observability and AIOps tooling, including data sovereignty and compliance considerations. Produce and maintain design documentation, runbooks, and architectural decision records that make the platform operable and extensible by future contributors. Observability Platform Own and evolve our metrics pipeline, including VictoriaMetrics, Prometheus, and the Consul-based service discovery layer that keeps scrape targets current as infrastructure scales. Own and expand our logging stack (OpenSearch, Logstash, and Filebeat) across all Backblaze data centers. Architect and expand distributed tracing with Jaeger and OpenTelemetry, extending coverage beyond the current application instrumentation to new services. Define and maintain Grafana dashboard standards for infrastructure, storage, and application performance visibility. Drive expansion of internal application telemetry in partnership with application teams to improve visibility. Define capacity and retention strategy for the telemetry stack as the fleet grows. Infrastructure & Automation Own infrastructure-as-code for observability stack deployments across multiple Kubernetes clusters. Write and review automated playbooks for configuration management and automation across Debian-based bare metal servers. Partner with the SRE team on Consul-based service discovery for VictoriaMetrics scrape target automation. Lead Ceph storage observability, including OSD health, performance metrics, and integration with alerting. Collaborate with the Network Engineering team on BGP, routing, and network-level observability. Required Qualifications 8+ years in a systems engineering, SRE, DevOps, or observability-focused role, including demonstrated technical leadership on a platform or infrastructure team. Deep hands-on experience with Prometheus, VictoriaMetrics, or equivalent metrics platforms, including PromQL, Alertmanager, and operating these systems at scale. Experience designing and operating log aggregation pipelines such as Elasticsearch/OpenSearch, Logstash, Filebeat, or similar. Working knowledge of distributed tracing (Jaeger, OpenTelemetry, or equivalent), including instrumentation strategy, not just operation. Proficiency in Python and/or Go for automation and tooling. Experience with Kubernetes, including deploying workloads and understanding pod networking and storage. Experience with infrastructure-as-code tooling and configuration management. Strong understanding of Linux internals, with Debian/Ubuntu preferred. Demonstrated experience mentoring engineers and raising the technical bar on a team. Excellent written and verbal communication skills. You'll work across engineering, SRE, security, and leadership, and you'll be expected to write design documents that drive decisions. Preferred Qualifications Experience leading the evaluation or deployment of AIOps tooling, including alert correlation, deduplication, or automated root cause analysis. Experience building, deploying, or operating AI agents or agentic AI systems. This is a strong differentiator. Familiarity with LLM APIs (Anthropic, OpenAI) or self-hosted LLM inference in an infrastructure context. Familiarity with Ceph storage, including OSD management, pool configuration, and CRUSH maps. Experience with incident management platforms. Familiarity with BGP, network observability, or working in multi-DC environments. Experience with secrets management in production environments. Experience operating in a regulated or compliance-driven environment. Prior experience in a storage-focused company or hyperscale infrastructure environment. What You'll Work On A telemetry stack spanning several data centers with exabytes of storage under observation. Real infrastructure at scale: Kubernetes, Ceph, Vitess, KVM, and a custom storage platform serving hundreds of thousands of customers. A collaborative team that values engineering excellence, transparency, and operational rigor. Pay Transparency To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. Final offer amounts are determined by multiple factors including candidate location, skills, depth of work experience, and relevant licenses/credentials. The expected salary range for this role is $178,000 - $200,000 plus 10% target annual bonus and RSUs. At Backblaze, we value being fair and good to our customers, partners, and employees. Diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We are proud to be an Equal Opportunity Employer.

• Design and develop product features for our live-streaming platform.

Сбор данных из внутренних сервисов, LLM Gateway, GitLab, Jira, логов AI-агентов и других источников. Проектирование и наполнение баз данных и аналитических витрин для оценки использования CodeGen-платформы.

Location: UK: London (7 Devonshire Square) Workplace: Hybrid The role & impact As an Engineering Manager, you will drive the delivery of high-quality software by leading a high-performing inclusive team. You will act as the technical anchor, balancing predictable roadmap delivery with a relentless focus on team growth, technical excellence, and system health.   Your work requires a delicate balance between short-term product delivery velocity and long-term operational excellence. You will guide your team to hone their craft, champion AI-native workflows, and resolve complex technical challenges to deliver impactful outcomes that align with business and customer goals.   The team & how they connect You will lead a results-driven team that operates with clear goals and ownership, fostering a high-trust environment where "blameless" problem-solving is the norm. The team works closely with Product and Design partners to shape solutions that truly matter to our customers.   The team is currently working on - Modernising architectures and improving CI/CD maturity to reduce operational risk.   - Embedding AI-native engineering workflows across the SDLC to boost velocity and reduce toil.   - Refining system design and architecture for high-scale, high-availability distributed systems.   - Driving visibility into system health and technical debt to enable proactive improvements.   Where and how you can work Xero is a Great Place to Work UK accredited company. We offer remote, hybrid or office based roles (hybrid and in-office in London, Milton Keynes or Manchester). Our offices offer boost days for connection and collaboration.   Here are some of the things we are looking for - Extensive professional software engineering experience, with a proven track record of technical maturity and delivering complex systems.   - Demonstrated experience leading, coaching, and performance-managing engineers, including building and improving team capability over time.   - Proven track record of translating business goals into executable engineering plans, balancing short-term delivery with long-term sustainability.   - Hands-on experience writing, reviewing, and debugging production code, with the technical credibility to guide engineering decisions.   - Experience building and supporting high-scale, high-availability distributed systems, including leading or overseeing incident response.   - Experience leading teams in the adoption of AI-native engineering workflows to improve developer productivity and quality.     Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. Join a Great Place to Work-Certified™ company where your voice matters.

Location: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE The ways customers buy from us are multiplying as fast as the business is growing. Enterprise order forms. Private offers through AWS, GCP, and Azure. A self-serve business running on usage-based pricing, with commits, drawdowns, and true-ups behind it. Each one is a distinct path from signature to cash, and each one runs today on some mix of manual steps and automation that grew up with the business. This role owns what comes next. You'll run order operations end to end - booking, provisioning, invoicing, amendments, and renewals - on a stack we picked deliberately and recently: Salesforce, Metronome for metering and billing, Rillet for ERP. The stack is modern, but the processes on top of it were built to keep up with growth, not designed to scale. Your job is to decide what each one should become: keep it, rebuild it, automate it, or retire it. Our bias is to invest in systems rather than in a growing queue of manual work, so you'll be setting the automation roadmap at the same time you're operating the function - deciding what a person should touch, what a workflow should handle, and what should never have been a step in the first place. Getting that right is what lets order volume grow by an order of magnitude without ops growing with it. This is a senior individual contributor role. You'll own order operations, working closely with Deal Strategy and Operations, GTM Systems, Finance and Accounting, and Enterprise Engineering. Those teams are your partners and much of your build capacity. Bringing them onto one shared order-to-cash roadmap is a core part of the job, and the reason we're hiring someone senior to do it. WHAT YOU'LL DO - Own the order-to-cash path end to end: order form intake from Deal Desk, booking in Salesforce, plan and entitlement setup in Metronome, invoicing and revenue recognition through Rillet, and the amendments, true-ups, and renewals that follow - Build out cloud marketplace operations across AWS, GCP, and Azure: private offer setup, usage reporting to each marketplace, and reconciling marketplace disbursements back to what we billed. Every new channel launches against defined readiness criteria, so marketplace deals run on the same clean path as direct ones - Own self-serve billing operations: usage metering, plan changes, dunning, credits, rebills, refunds, and the escalations behind them - Own billing and usage completeness at month-end close. Every order, credit, and metered event is reconciled between Metronome and Rillet before revenue is recognized, not after - Partner with Deal Strategy and Product as our pricing evolves. Bring the billing view into pricing and deal-structure decisions early, so new models and non-standard terms can be billed accurately and automated, not handled by hand - Set the automation roadmap. Instrument the path, put a number on every place a human touches an order, and decide what gets automated, what gets designed away, and what stays manual on purpose - Treat every billing error as a defect: find the root cause and fix the class of problem, not just the one invoice - Ship automations yourself where that's fastest, and partner with GTM Systems and Enterprise Engineering where the work belongs in core systems or the product - Write the playbook and the controls behind it: approvals, segregation of duties, reconciliations, and exception handling, built so order ops scales through systems rather than headcount and holds up under audit - Own three numbers and move them: touchless order rate, signature-to-provisioned cycle time, and billing accuracy WHAT WE'RE LOOKING FOR - 6+ years in order management, order-to-cash, billing operations, or revenue operations at a B2B SaaS company, including time building the function at an early-stage or fast-scaling one - Hands-on fluency with a modern billing and ERP stack. We run Salesforce, Metronome, and Rillet - you should know something comparable well enough to have opinions, and get to depth on ours quickly - Real experience with usage-based pricing. Per-seat is straightforward; metered consumption, commits, drawdowns, overages, and true-ups are where order ops gets interesting, and that's most of our business - Working knowledge of ASC 606 and month-end close. You don't need to be an accountant, but you should know what Revenue Accounting needs from billing data and why - Cloud marketplace experience (AWS, GCP, or Azure private offers), or a track record of getting deep on a system like that fast - A history of automating your own job. We'll ask you to walk us through a manual process you deleted: what it cost before, what you built, and what it costs now - The ability to build alignment across teams with different priorities and get to a decision, without relying on org authority - Comfort shipping a v0 earlier than feels comfortable, then iterating with real feedback NICE TO HAVE - SQL, Python, or low-code tooling in your own hands rather than on someone else's backlog - Experience building agents or LLM workflows for internal operations. We'd like to run more of our own back office on the LangSmith Platform, wherever it's the right tool and meets the same accuracy bar as the rest of order-to-cash - Audit prep or SOX readiness experience Compensation: $155,000 - $185,000 salary + options Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE The ways customers buy from us are multiplying as fast as the business is growing. Enterprise order forms. Private offers through AWS, GCP, and Azure. A self-serve business running on usage-based pricing, with commits, drawdowns, and true-ups behind it. Each one is a distinct path from signature to cash, and each one runs today on some mix of manual steps and automation that grew up with the business. This role owns what comes next. You'll run order operations end to end - booking, provisioning, invoicing, amendments, and renewals - on a stack we picked deliberately and recently: Salesforce, Metronome for metering and billing, Rillet for ERP. The stack is modern, but the processes on top of it were built to keep up with growth, not designed to scale. Your job is to decide what each one should become: keep it, rebuild it, automate it, or retire it. Our bias is to invest in systems rather than in a growing queue of manual work, so you'll be setting the automation roadmap at the same time you're operating the function - deciding what a person should touch, what a workflow should handle, and what should never have been a step in the first place. Getting that right is what lets order volume grow by an order of magnitude without ops growing with it. This is a senior individual contributor role. You'll own order operations, working closely with Deal Strategy and Operations, GTM Systems, Finance and Accounting, and Enterprise Engineering. Those teams are your partners and much of your build capacity. Bringing them onto one shared order-to-cash roadmap is a core part of the job, and the reason we're hiring someone senior to do it. WHAT YOU'LL DO - Own the order-to-cash path end to end: order form intake from Deal Desk, booking in Salesforce, plan and entitlement setup in Metronome, invoicing and revenue recognition through Rillet, and the amendments, true-ups, and renewals that follow - Build out cloud marketplace operations across AWS, GCP, and Azure: private offer setup, usage reporting to each marketplace, and reconciling marketplace disbursements back to what we billed. Every new channel launches against defined readiness criteria, so marketplace deals run on the same clean path as direct ones - Own self-serve billing operations: usage metering, plan changes, dunning, credits, rebills, refunds, and the escalations behind them - Own billing and usage completeness at month-end close. Every order, credit, and metered event is reconciled between Metronome and Rillet before revenue is recognized, not after - Partner with Deal Strategy and Product as our pricing evolves. Bring the billing view into pricing and deal-structure decisions early, so new models and non-standard terms can be billed accurately and automated, not handled by hand - Set the automation roadmap. Instrument the path, put a number on every place a human touches an order, and decide what gets automated, what gets designed away, and what stays manual on purpose - Treat every billing error as a defect: find the root cause and fix the class of problem, not just the one invoice - Ship automations yourself where that's fastest, and partner with GTM Systems and Enterprise Engineering where the work belongs in core systems or the product - Write the playbook and the controls behind it: approvals, segregation of duties, reconciliations, and exception handling, built so order ops scales through systems rather than headcount and holds up under audit - Own three numbers and move them: touchless order rate, signature-to-provisioned cycle time, and billing accuracy WHAT WE'RE LOOKING FOR - 6+ years in order management, order-to-cash, billing operations, or revenue operations at a B2B SaaS company, including time building the function at an early-stage or fast-scaling one - Hands-on fluency with a modern billing and ERP stack. We run Salesforce, Metronome, and Rillet - you should know something comparable well enough to have opinions, and get to depth on ours quickly - Real experience with usage-based pricing. Per-seat is straightforward; metered consumption, commits, drawdowns, overages, and true-ups are where order ops gets interesting, and that's most of our business - Working knowledge of ASC 606 and month-end close. You don't need to be an accountant, but you should know what Revenue Accounting needs from billing data and why - Cloud marketplace experience (AWS, GCP, or Azure private offers), or a track record of getting deep on a system like that fast - A history of automating your own job. We'll ask you to walk us through a manual process you deleted: what it cost before, what you built, and what it costs now - The ability to build alignment across teams with different priorities and get to a decision, without relying on org authority - Comfort shipping a v0 earlier than feels comfortable, then iterating with real feedback NICE TO HAVE - SQL, Python, or low-code tooling in your own hands rather than on someone else's backlog - Experience building agents or LLM workflows for internal operations. We'd like to run more of our own back office on the LangSmith Platform, wherever it's the right tool and meets the same accuracy bar as the rest of order-to-cash - Audit prep or SOX readiness experience Compensation: $155,000 - $185,000 salary + options Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Salt Lake City, Utah, United States About the Role The Structured Investments Distribution Engineer at iCapital will play an integral role in designing and implementing systems that power the iCapital platform. This role will focus on building highly performant and intuitive APIs and applications. Beyond expertise in specific technologies, the ideal candidate will bring strong technical depth, a driven mindset, and a focus on delivering high-quality end products for clients. The iCapital platform operates on microservices architecture, with services built in Scala, Ruby, Node.js, and Python. This role also provides opportunities to develop proficiency in new tools and technologies through hands-on experience, with support from management and mentors. Responsibilities Build cloud native services using Scala using open-source frameworks Akka, ZIO etc. Contribute to unit and integration test development using Scala Test and ZIO Test. Participate in stand-up meetings and peer code reviews as part of our standard SDLC and Change Management Process. Work closely with the Product Management team throughout the software development process, detailing requirements, reviewing work in progress, and addressing issues found via testing. Qualifications Degree in Software Engineering 5+ years of web-based application development Experience in Scala, Node.js or Java a plus Demonstrated understanding of relational or NoSQL database concepts and modeling practices Passion for actively learning new technologies Ability to work independently or as part of a group effort, as required Solid problem-solving abilities Excellent communication skills Collaborative approach to software development Benefits The base salary range for this role is $ $100,000 to $130,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us X: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Afton, Texas Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: You are a hands-on construction leader who has delivered large-scale, mission-critical data center or comparable infrastructure from start of construction through commissioning and turnover. You know what it takes to run a major building on a live campus: sequencing trades, protecting the schedule, and keeping safety and quality from becoming trade-offs. You lead teams from the front, hold contractors and partners to a high standard, and raise issues early and honestly. You are equally comfortable walking the building with a superintendent and presenting schedule, cost, and risk to senior leadership. You believe the digital economy depends on infrastructure delivered right, and delivered on time. What You'll Do: As Senior Manager, Data Center Construction at Galaxy's Helios campus in Afton, TX, you will be Galaxy's accountable leader for construction of a large-scale data center building on the campus. You will report to the VP, Campus Construction Manager and work alongside peer Senior Managers who each own a building or scope, with shared accountability for the safety, schedule, cost, and quality standards that keep the campus aligned. You will own your building from preconstruction handoff through commissioning and turnover to operations, and you will lead the on-site Galaxy team and contractor relationships that make it happen. Key Responsibilities: Own Data Center Facility Delivery: Serve as the single point of accountability for construction of a large-scale data center facility, from GMP handoff through energization, Level 1-5 commissioning, integrated systems testing (IST), and turnover to operations. Drive the facility to its safety, schedule, cost, and quality commitments. Manage Schedule and Progress: Own the building schedule and track progress against baseline. Identify critical-path threats early, and direct recovery and mitigation plans before they affect milestones. Provide clear schedule inputs to the campus master schedule. Manage Project Risk and Contingency: Maintain a quantified risk register covering schedule, cost, supply chain, labor, weather, and trade-interface risks. Control owner contingency drawdown, run structured risk reviews with the GC and trade partners, and drive mitigation before exposure becomes impact. Drive Safety Culture: Set and enforce Galaxy's safety standards at the building level. Partner with Galaxy EHS and contractor safety leadership to sustain a zero-incident environment, and hold the team accountable for leading indicators as well as outcomes. Oversee Contractors and Trade Partners: Manage the day-to-day and executive-level relationship with the general contractor and key trade partners. Ensure alignment on milestones, quality, safety, staffing, and commercial performance, and escalate issues early. Control Cost and Change: Oversee pay applications, change orders, forecasts, and budget tracking for your building under the GMP. Enforce disciplined change management and provide accurate cost reporting to campus and executive leadership. Lead Integrated Project Controls and Forecasting: Own the facility's integrated cost, schedule, and cash flow forecast on a monthly cycle. Validate GC-reported progress against independent percent-complete and earned value analysis, report cost-to-complete and forecast variances, and give development and finance leadership a reliable view of capital deployment and funding requirements. Administer the Commercial Framework: Administer the GMP agreement and related owner contracts, including notices, allowances, buyout and savings, delay and impact claims, backcharges, retainage, and lien waivers. Protect Galaxy's commercial position and resolve disputes at the lowest level possible, partnering with Legal as needed. Manage OFCI Integration: Work closely with Pre-Construction and the OFCI procurement and logistics teams to ensure UPS, generators, chillers, switchgear, and other owner-furnished equipment arrive, are set, and are installed without impacting the construction schedule. Drive Utility and Energization Readiness: Coordinate with the serving utility, interconnect and substation teams, and Galaxy's power development group to align permanent power availability, energization sequencing, and test windows with construction and commissioning milestones. Treat power delivery as a critical-path item and escalate early. Lead Commissioning and Turnover: Partner with the on-site commissioning manager, 3rd party Cx agent, and operations teams to ensure systematic testing, closeout, and clean turnover of the building to operations. Manage Customer Delivery Commitments: Serve as the construction lead for customer-facing delivery milestones, including ready-for-service dates. Ensure facility handoff meets contractual commitments and the customer's acceptance criteria. Ensure Quality: Enforce Galaxy's QA/QC standards on your building. Escalate and resolve systemic quality issues with contractors and design partners. Coordinate Across the Campus: Work with peer Senior Managers and the VP to resolve cross-building conflicts in resources, laydown, site logistics, access, utilities, and sequencing. Advance Lean and Prefabrication: Apply Galaxy's modularization, prefabrication, and lean delivery initiatives on your building, and capture lessons learned so each building is more repeatable than the last. Manage Regulatory and Inspection Requirements: Work with local authorities, inspectors, utilities, and consultants to ensure compliance with codes and permit requirements. Report to Leadership: Provide frequent, candid status updates to senior leadership and communicate building status, risks, and forecasts to internal stakeholders across Pre-Construction, Design Engineering, Operations, and Security. What We're Looking For: Bachelor's degree in Construction Management, Engineering, Architecture, or equivalent experience. 7+ years of experience delivering large-scale mission-critical projects, with at least 3 years in a senior role leading a project or building team through construction. Demonstrated success delivering a data center, or comparable mission-critical facility, from start of construction through commissioning and turnover. Working knowledge of construction delivery models (including GMP), risk management, and contractor oversight. Technical fluency across MEP, commissioning, civil, and structural systems. Experience integrating OFCI equipment and supporting commissioning. Strong command of cost control, change management, and schedule analysis. Familiarity with Procore, Primavera P6, Bluebeam, and SharePoint. Full-time, on-site presence at Helios (Afton, TX) What You Bring: A track record of leading and developing high-performing construction teams. Excellent communication skills and the ability to influence technical and executive stakeholders. Sound judgment under pressure and a bias toward early, honest escalation. A commitment to safety, quality, and executional excellence. A passion for building world-class infrastructure that supports the growth of the digital economy. What We Offer: Competitive base salary and discretionary bonus Paid Time Off Company-paid health and protective benefits for employees, partners, and other dependents Company Paid Holidays (11) 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Headspace Opportunities to learn about the Crypto industry Free daily snacks and weekly meal in-office Smart, entrepreneurial, and fun colleagues Employee Resource Groups Apply now and join us as we grow the economy that runs on code. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

-Принимать участие в проектировании архитектуры приложения и развитии frontend-подходов команды. -Вместе с командой переосмыслить и переработать существующий pilot/MVP в полноценный production-ready продукт.

Location: United States Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 Engagement Management is a new and fast-growing practice at ClickUp, and it's quickly becoming central to how we serve our enterprise customers. Our EMs bring program leadership, service delivery and change management together in one role. As a ClickUp Senior Engagement Manager you will lead the formation and orchestration of post-sale strategy and execution for the company’s largest and most strategic clients. We're looking for someone hungry, who excels in building, and who takes genuine pride in the quality of their work. Here, Engagement Managers are the single point of accountability for outcomes. You own everything between the contract being signed and the client seeing measurable results: what was sold gets delivered, on time and on margin, and we can prove it worked. You'll lead enterprise SaaS implementations across the full engagement lifecycle, from shaping scope in pre-sales, mobilizing the team and delivery, go-live, stabilization and a clean handover to the account team. You'll run work-stream programs with Paid TAMs, AI specialists, Product and Engineering, and the client's own project team, and you'll be the trusted advisor to the client's executive sponsor.   Simply put: you are the single point of accountability for delivery, the client's partner in getting value from ClickUp, and a thought leader for how we deliver.   YOUR ROLE - Stakeholder Management - Serve as the primary client contact for delivery - Build strong relationships with stakeholders while ensuring delivery remains aligned to client objectives and contractual commitments. - Build trusted relationships with client executive sponsors and program leads at VP and C-level, acting as their primary point of contact for delivery. - Navigate complex enterprise stakeholder environments and competing priorities across client functions (IT, PMO, business sponsors, procurement) and broker alignment when they conflict. - Project Delivery Oversight - Deliver engagements against agreed scope, schedule, hours budget and quality, using rigorous change control to protect timelines and delivery margin. - Translate customer business requirements into internal deliverables and milestones - Own engagement governance, including kickoffs, weekly working sessions, sponsor check-ins and SteerCos, and provide clear, concise status reporting to clients and internal stakeholders. - Lead and coordinate multidisciplinary teams, fostering a collaborative, accountable and high-performing delivery culture while providing coaching, direction and support. - Proactively manage risks, issues and dependencies through the RAID log, and act as the primary escalation point. - Manage engagement financials, including hours burn, forecasting, utilisation and margin, flagging overrun risk early and agreeing recovery plans. - Drive AI adoption - Guide clients from manual workflows to AI-assisted and agent-driven operations, and own post-go-live adoption outcomes. - Drive Value and Business Outcomes - Identify expansion opportunities through delivery and co-sell with Account Executives, bringing the delivery credibility that secures follow-on work. - Establish a value baseline before configuration begins, track benefits through go-live, and produce the value assessment that underpins renewal and expansion. - Governance - Design and run governance mechanisms - Track delivery efficacy, timelines, value realization and customer experience - Create continuous-improvement mechanisms - Change Management & Communication - Own communications around delivery status, risks and outcomes - Manage escalation and communication across customer/internal teams - Assess change readiness and resistance across impacted teams; build sponsor and champion networks to carry the rollout. - Design the communications and enablement plan with the client, and sequence go-live to match the organization's capacity for change. - Role Development - Contribute to building the Engagement Management practice by iterating on templates, playbooks and AI workflows that make every engagement faster and more consistent.   YOUR SKILLS AND EXPERIENCE - 5+ years of software and/or services delivery experience, with at least 2 years as the accountable project, program or engagement lead. - Proven track record taking enterprise SaaS deployments from kickoff through go-live and into adoption, ideally in work management, PSA, CRM, ITSM or collaboration platforms. - Strong grasp of SaaS implementation fundamentals: workspace and data architecture, permissions and SSO, integrations, data migration, change management and enablement. No coding required, but you can challenge an unrealistic technical scope. - Comfortable with Agile, Waterfall and hybrid delivery, and knowing which one the client actually needs. - Commercial acumen: you've managed engagement budgets, SoWs, change requests and margin, and you know when to push for expansion vs when to stabilize. - Executive presence: you can run a SteerCo, deliver bad news early with a recovery plan, and hold a line on scope with a CIO in the room. - Experience leading cross-functional and distributed teams you don't directly manage, across client, partner and internal resources. - Strategic judgment to separate genuine product gaps from client process or training gaps. - Hands-on with AI: you already use AI to work faster, and you can credibly advise clients on where agents and automation fit. - Excellent written and verbal communication. Status reports people actually read.   Nice to have: Experience in work management or SaaS software, professional services firms, agencies or regulated industries. PMP Certification.   WHAT YOU'LL LOVE ABOUT WORKING HERE - Impact: Lead high-visibility enterprise engagements with global brands, and see the result in their day-to-day work. - Build something: Engagement Management is a new function. You'll help define the methodology, tooling and AI workflows that become the standard. - AI at the centre: Work on the frontier of AI-driven work management, with ClickUp Brain and Super Agents in your own delivery toolkit. - Career growth: A clear path from Engagement Manager to Senior or Principal Engagement Manager. - Community: Learn alongside Paid TAMs, AI specialists and delivery leaders across EMEA and NA. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: North America Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 30,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. At Linear, we are committed to quality. Security is an essential part of that quality — not a layer that we add later, but something we build in from the start. We have a foundational security program we're proud of but, as Linear evolves our product and scales into enterprise, there's meaningful work ahead: staying ahead of vulnerabilities as our attack surface grows, responding fast and cleanly when incidents happen, and hardening our product and infrastructure. As Security Engineer at Linear, you'll be operating in a high-autonomy role with real scope, doing hands-on security work across the product and infrastructure we build. Location & work mode Linear is a remote-first company. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do Depending on your experience / skillset and our broader priorities, you could: - Operate, automate, and extend vulnerability management end-to-end: triage, prioritize, and drive remediation across product, infrastructure, and dependencies, and keep the program’s SLAs meaningful rather than theoretical - Run our bug bounty program: triage incoming reports, validate severity, work with engineering on fixes, and keep researcher relationships professional and responsive - Lead product security testing: threat model new features (including AI/agent-facing surfaces), review designs and code for security-relevant risk, and do hands-on testing (manual and tool-assisted) rather than relying solely on scanners - Be a primary responder for security incidents: lead investigation and containment, drive postmortems, and turn lessons into concrete hardening work - Own meaningful chunks of our cloud/infra security posture on GCP/k8s/Postgres: harden configurations, close gaps surfaced by audits or scanning, and partner with infra engineering on secure defaults - Build and maintain security tooling and automation, including using AI/LLM tooling to speed up triage, code review, and repetitive investigation work, so the program scales without linear headcount growth - Partner with the GRC/Trust function: feed real findings into the risk register and control evidence, and help make sure compliance requirements reflect actual engineering practice What we’re looking for - A generalist, senior-level security engineer (5+ years across security engineering, with real depth in at least two of: vulnerability management, product/appsec testing, incident response, and cloud security). We need breadth, rather than a narrow specialist in any one of these. - Hands-on and technical: you can read and reason about code (we use a lot of TypeScript), you’re comfortable in cloud environments (GCP a plus), and you can go deep on a finding rather than just filing a ticket for someone else to fix. You’re comfortable using AI coding/security tools as force multipliers (Linear Agent, Claude, Codex, etc). - Calm under pressure: you can lead an incident from first alert through postmortem without needing to be told what to do next - A builder: you’d rather write a script or ship a tool than repeat a manual process a third time - A pragmatic risk-reducer: you optimize for actually reducing risk, not for checking a box or maximizing findings count - Autonomy-oriented: comfortable setting your own priorities, working with significant independence, and knowing when to escalate - A clear communicator: able to explain a technical finding to a non-technical stakeholder and write it up so it’s actually actionable Our tech This is a hands-on security engineering role. You'll be running tools, reading/writing code, building detections, working in our cloud environment, and partnering closely with the engineers who build our product. Our stack is fronted by Cloudflare and runs on Google Cloud with k8s, Postgres, and Node. For day-to-day work, we use: - Linear, GitHub, Slack, and Google Workspace for collaboration - Claude and ChatGPT for general & engineering-specific AI tasks - Vanta for compliance automation and evidence collection Our security-specific tooling includes: - GitHub Advanced Security - RunReveal - SentinelOne What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Learn how we think and work - Read Me https://linear.app/readme a story about our mission - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Why and how we do work trials https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Linear blog post - How we use AI in design https://designerfund.substack.com/p/ai-design-linear feature of Linear's design team - Scaling our real-time sync engine https://linear.app/blog/scaling-the-linear-sync-engine talk by our cofounder, Tuomas Artman, at Linear's 2023 offsite - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Location: London, United Kingdom Interaction Design Lead In a Nutshell IDEO London is seeking an Interaction Design Lead with a passion for creating human-centred experiences and helping teams do their best work. You’ll lead and co-lead multidisciplinary teams, stay close to the craft, and guide clients from complex questions to tangible products and services. Your work will span digital and physical experiences, including new ways for people to interact with AI. About IDEO London We're a global design consultancy where curiosity, empathy, and solving complex challenges drive us. For over 40 years, we've partnered with clients to innovate in healthcare, mobility, education, retail, and beyond. Here, every challenge is a chance to grow, connect, and create impact. Why is this role important for IDEO's work? Interaction Design is at the heart of creating meaningful human-centred experiences that meet people’s needs and help businesses move forward. As an Interaction Design Lead, you’ll bring together craft, creative direction and project leadership to help teams turn strategy into experiences people can use. As AI becomes part of everyday products and services, you’ll help us explore how people understand, trust and stay in control of systems that can act on their behalf. Once Here You Will Lead and co-lead multidisciplinary project teams from research and framing through design, prototyping and delivery, balancing people’s needs, client goals and technical possibilities Set a clear design direction and stay hands-on with journeys, flows, interfaces and interaction details, connecting individual touchpoints to a coherent product or service experience Build and guide prototypes at the right fidelity to answer the team’s questions, using Figma, code and AI-assisted tools to make ideas tangible early and test them with people Partner with researchers and technologists to plan experiments, test usability and accessibility, and use qualitative feedback and product data to refine designs and assess their impact Explore conversational and agentic UX: design how people express intent, approve actions, understand what an AI system is doing, redirect it and recover when things go wrong Own project plans, resource needs and delivery milestones; brief and delegate work clearly, spot obstacles early, and help the team navigate ambiguity while maintaining creative quality Be a main client point of contact, facilitate working sessions and present compelling design narratives; align stakeholders on decisions, trade-offs and next steps Help scope client challenges and shape proposals and follow-on opportunities with senior colleagues, drawing on project learnings and collaboration across Europe and beyond; travel as projects require Mentor designers, give actionable craft feedback and build an inclusive team culture; share methods and learnings across our London community, including thoughtful use of AI that protects client and participant information We're looking for someone with 6–8 years of professional experience in interaction design, digital product design, UX/UI or a related discipline, including 1–2+ years leading projects or multidisciplinary teams Strong interaction design craft and a portfolio showing how you turn complex requirements into clear experiences; advanced expertise in one or more areas of digital, visual, service or systems design, with fluency across others A strong grounding in human-centred design, research and usability testing, with the ability to guide a team from evidence to design decisions and measurable outcomes The ability to scope, brief and delegate design work, manage timelines and resources, and empower a small to medium team to take ownership of different parts of a project A keen eye for visual hierarchy, responsive interfaces, motion and micro-interactions, and the ability to critique work and offer clear, actionable feedback Strong prototyping skills in Figma or comparable tools, and confidence experimenting with AI-assisted ideation and prototyping while checking outputs and making your own design judgements A commitment to accessibility and inclusive design, and thoughtful judgement about privacy, bias and people’s agency when designing with AI The ability to connect interaction details to wider service and system needs, and work with engineers to understand technical constraints and bring designs to life Excellent storytelling, presentation and facilitation skills; confidence building trusted client relationships, aligning stakeholders and helping others succeed with empathy and openness An Interaction Design qualification or equivalent work experience, alongside curiosity, self-awareness and a willingness to give and seek feedback It's a bonus if you Have worked closely with product managers and engineers to take digital products or services from concept to launch and learn from their use Have used product analytics and experimentation to evaluate design decisions and improve outcomes Have designed conversational or agentic experiences, including human approval, transparent system behaviour, error recovery and hand-offs between people and AI Have built functional prototypes with code or AI coding tools, and can explain where these tools improved your process and where your judgement changed the outcome Have helped shape proposals, scope engagements or develop repeat client work Have contributed to design systems or reusable interaction patterns, or explored emerging technologies through creative experimentation What does IDEO offer you? Innovation and creativity: Dive into a variety of projects from creating breakthrough digital products and experiences, to designing new customer interactions, to building innovation capabilities – working alongside talented individuals across disciplines. Learning and growth: Whether it’s strengthening your project leadership, deepening your interaction design craft or exploring new technologies, we’re here to support your journey. Community and well-being: Collaboration and community are central to what we do. We foster moments for creativity, connection, and reflection, respecting the need for work-life balance. Projects with purpose: We partner with clients to use design as a means of realising their purpose and making a positive impact. We work 'upstream,' from defining the problem, designing possible solutions, and exploring what, why and how they might be brought to life. Compensation £70,000–£80,000 GBP, depending on experience Location This position is based out of our London studio. Some Previous Projects To Check Out To get a flavour of the work we do in London, take a look at these case studies: Climate action for SMBs – Designing a strategy and experience to help Sage’s SMB customers transition to net zero. Redefining retail with FEMSA – Designing Spin Premia, a digital loyalty experience connecting everyday shopping at OXXO with rewards and services. Sustainable packaging system – Helping H&M increase their sustainability and growth, by designing and scaling a universal packaging system for all of their brands. Commitment to Diversity At IDEO, we are committed to the work of advancing diversity, equity, and inclusion within our organisation and in the world. Our purpose of having disproportionate, world-changing impact through design is directly connected to our ability to bring many different perspectives to the table. This applies to our candidates, the people we hire, the clients and customers we serve, and the communities we learn from in our research. As a human-centred organisation, we are committed to working with and designing for people of every race, ethnicity, gender identity, sexual orientation, age, socio-economic status, physical ability or attribute, religion, national origin, or political belief. We recognize that this commitment requires ongoing work and sustained attention, as well as adaptation to new insights and best practices Application Requirements And Instructions If you identify with our values, are excited about great design, and would like to contribute to our community, we would love to see your CV, a cover letter and examples of your work. CV: please highlight experiences related to the ‘We’re looking for someone with’ and ‘It’s a bonus if you’ sections above Cover letter: please share why you are interested in this role and how it aligns with how you are looking to grow in your career. Work examples (confidentiality permitting): please include two projects that show your interaction design craft and project leadership. We’d love to see how you think, make and help a team move forward. In your work examples, focus on: The challenge you were trying to solve The context, users and client goals you were designing for Your specific design contribution and how you led or supported the team The research, design and prototyping methods you used, including any AI tools and how you evaluated their outputs Key design decisions, iterations and trade-offs, illustrated with flows, interfaces or prototypes The impact on people, the client and the team, and what you learnt from the outcome

Location: 🇧🇷 São Paulo / 🌎Remote Workplace: Remote A little bit about us: We are Belvo, an open finance API platform with the bold vision of democratizing access to financial services in Latin America. We enable any financial innovator to access and interpret financial data, as well as initiate payments from their end-users accounts. We’re turning the messy complexities of the Latin American financial ecosystem into a modern set of tools to access and interpret data and move money in a seamless and secure way. We’re a highly-technical, passionate, and driven team. We are more than 90 people and our team currently represents 20 nationalities. We have offices in São Paulo and Mexico City – while a large portion of us work remotely. We are tackling a very stimulating problem: connecting fintech innovators with legacy financial infrastructure. We strive to go beyond the limits of what is possible today and to do so in an elegant and developer-first way. Since starting our adventure in May 2019, we have raised $71m from the leading VC investors globally. You can read more about our company here https://belvo.com/about/ and about our team and culture here https://belvo.com/careers/. Also, head to our blog https://belvo.com/blog/ for more news about what we’re building and how we work https://belvo.com/blog/category/working-belvo/. About the team: - We work in cross-functional, autonomous teams. We follow continuous delivery best practices executed on top of a modern technology stack.  - Our products are built for developers, by developers. Technological excellence is at the heart of what we do.   - We are pragmatic and customer-focused. We strive to find the right set of trade-offs in order to validate our hypothesis as early as possible, iterating on our products based on customer feedback.  - We communicate transparently. We do weekly all-hands where we get together to discuss company performance and goals. - While we are global and remote-friendly, we also operate from our vibrant offices in CDMX and Sao Paulo. To accommodate the various time zones in which we are based, we ensure we’re always synced up for at least 3 hours per day. - Also, we are backed by some of the leading investors in Silicon Valley and Latin America, including Founders Fund, Kaszek Ventures, and YCombinator. The challenge The Intelligence Squad is Belvo's AI enabler team. One part of the squad builds the platforms and patterns that let every team at Belvo ship AI. This role sits in the other part: turning the financial data and payments we aggregate across Latin America into models that make real decisions, who looks creditworthy, which transaction is fraudulent, what category a payment belongs to, whether an income statement checks out. That data drives real financial outcomes for the people and businesses on the other end, so the bar for rigor is high. You'll be the data science reference in the squad. We're not hiring someone to execute a modeling backlog someone else wrote. We want someone who decides which problems are worth modeling, defines how we know a model is good enough, and raises the data science bar for everyone they work with. You'll be deep enough in statistics and ML to defend a modeling choice to anyone, whether this is a set of rules to simplify a problem or a complex model that you build. You'll be close enough to the business to turn a commercial problem into a modeling roadmap and a business case. And you'll be a strong enough engineer to take your models from notebook to production and own them there. Responsibilities - Model development and selection: Lead the design of statistical and ML models (classification, regression, ranking, NLP or LLM-based) for problems like risk scoring, fraud detection and transaction categorization. Choose approaches on their merits and defend those choices with data, not habit. - AI-leveraged delivery: Use agentic coding and research tooling as a core part of how you work: exploring data, generating and testing feature hypotheses, scaffolding pipelines, writing the service around the model. We care about the decisions you ship, not hours at the keyboard, and we expect you to keep compressing the gap between the two. - Feature engineering with business context: Work with Product and the business teams to figure out which signals in Belvo's financial data actually explain the outcome you're modeling, and translate an ambiguous business question into a well-scoped modeling problem. - Productionization and ownership: Take models past the notebook. Build or shape the pipelines, APIs and services that run them reliably in production, and own them once they're live: monitoring, drift, retraining, and retirement when the evidence says so. - Experimentation: Design and run experiments (A/B tests and offline evaluation) to confirm that a model change actually moves the metric it's meant to move. - Cross-functional partnership: Work closely with Engineering, Data Research, Product, and the rest of the Intelligence Squad to ship end to end, and with stakeholders across the business to keep your models grounded in what actually matters to them. - Business and customer partnership: Work directly with stakeholders and, when needed, customers. Translate ambiguous business questions into well-scoped problems, and explain trade-offs and impact clearly to non-technical audiences, executives included. - Staying current: GenAI moves weekly. We expect you to be genuinely plugged in: model releases, papers, and tooling, to hold an opinion on what's real versus hype, and to bring the useful parts back to the squad as a demo, a doc, or a session for our company-wide AI Chapter. - Framing the problem: Decide what's worth modeling. Push back when a rule, a heuristic, or a better data pipeline solves the problem without a model, and be willing to kill or retire your own model when the evidence says so. This position may be for you if - 5+ years of experience as a Data Scientist, Applied Scientist, or in a similar hands-on modeling role. - You've owned models end to end in production, from framing the problem to monitoring it live, and you can point to the measurable business impact they had. - You have a solid grounding in statistics and can explain how your models work at that level, not just how to call them. - You've built and compared more than one type of model (for example tree-based methods, regression, deep learning) for the same problem and can justify why you picked the one you shipped. - You're comfortable in Python for data science (pandas, scikit-learn, and at least one of TensorFlow or PyTorch) and in SQL for pulling and shaping your own data. - You've taken several models you built into production yourself, not just handed it off to someone else to deploy.You http://deploy.You understand engineering fundamentals: testing, version control, CI/CD, and how to write code someone other than you can maintain. - You've built with LLMs past the API-call level: tool use or agents, retrieval, structured outputs, and shipped at least one to production. You can explain how you knew it was good enough, which means you've built some form of evaluation, not just eyeballed outputs. - Agentic coding tools are part of your daily workflow, not a novelty. You can walk us through a specific task that used to take you days and now takes hours: how you set it up, what you delegated, and where you still don't trust the output. - You're proficient in written and spoken English. Amazing if - You've worked in fintech, financial risk, or another regulated data environment before. - You have a business or strategy background alongside data science (an MBA, consulting, or a product/strategy role). - You've worked in a customer-facing data science role, such as a forward-deployed engineer or a solutions/applied team at a data platform company. - You've worked with MLOps tooling for model versioning, monitoring, and automated retraining. - You've deployed models on AWS (for example SageMaker or an equivalent managed ML service). - You've written evals or an LLM-as-judge harness for a non-deterministic system, and have opinions about where that approach breaks. - You've used LLMs inside the data pipeline itself: labeling, extraction, categorization, and can say where they beat a classical model and where they quietly don't. Tech stack - Python is our primary language for data science and modeling (pandas, scikit-learn, and deep learning frameworks as needed). - SQL against a cloud data warehouse for data access and feature work.Claude deployed company-wide and Claude Code for every engineer. Agentic tooling is part of how we work daily, not a side experiment. - Cloud infrastructure on AWS, favoring managed services so you can focus on the modeling problem rather than infrastructure plumbing. - An experimentation platform for A/B testing and offline evaluation. - We use Datadog for service observability across the company. - We follow Continuous Integration and Continuous Delivery best practices. Our tech stack: - We’re building our platform using modern technologies, putting the focus on reliability and long-term maintainability - We primarily use Python on the backend. We use battle-tested technologies such as Django, and we are heavy users of Python’s asyncio for some parts of our stack - We use Javascript, Vue.js and Sass on the frontend. We are developing and leveraging our own design system and component library - We run our infrastructure on top of Amazon Web Services, leveraging managed services. We tend to favor the use of managed services wherever possible, in order to focus on our business problems - We observe and monitor our services using Datadog - We follow Continuous Integration and Continuous Delivery best practices Our process steps: At Belvo every hire is so important to us, that we share the decision to hire as a team. - People team chat - Take-home challenge - Challenge presentation - Team fit chat - Meet the founders Our perks: 🚀 Stock options (we are all owners and this is very important to us) 📈 Annual company bonus linked to company performance 🔆 Flexible working hours 🔝 Remote friendly 🐶 Pet friendly 👩🏻‍⚕️ Health Insurance 🎊 Paid time off on your birthday 💻 Renew your laptop every 3 years 🙋 Training Budget 😎 Team building events 🙀 Bank holidays swap within 30 days 🔋 Fitness/ wellness stipends 🚀 Yearly company offsite 🍒 Fresh fruit every week, all-you-can-drink tea and coffee 🏝 Extra days off accrued when completing 2, 3, 4 years and beyond at Belvo 🎳 Yearly department offsite

Location: Valencia Workplace: OnSite Role highlights: - Title: Systems and Software Validation Engineer - Department: Global Manufacturing Organisation - Reports to: Head of MAITE Spain - Location: Valencia, Spain - Type of Contract: Permanent - Working model: On-site - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As a Systems and Software Validation Engineer, you play a vital role in bringing every satellite that reaches our Valencia production line to operational readiness. You will own the first power-on, initial software and firmware loading, and end-to-end systems verification of fully integrated SAR satellites, running automated functional, power, and bus test campaigns, diagnosing issues at the boundary between software, firmware, and electronics hardware, and ensuring configuration control on final activities. Your work lets test campaigns run independently on the line, without pulling engineers away from other teams. 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 - Execute initial satellite power-on, firmware flashing, and subsystem communication verifications. - Run, debug, and execute automated functional, power, and bus test scripts using Python, Shell, and Linux environments. - Work with Git repositories to manage test code, track updates, and verify software builds. - Operate mechanical and electrical ground support equipment (GSE), and troubleshoot electronic hardware, power distribution, and digital interface issues using lab instruments (oscilloscopes, power supplies, multimeters). - Diagnose whether an anomaly is a test setup issue or a genuine unit fault, and raise non-conformance reports (NCRs) in Jira. - Maintain detailed test logs and accurate documentation, and ensure configuration control on final activities. - Assist in managing activities related to satellite launch campaigns. - Actively contribute to continuous improvement initiatives - procedures, processes, tools, test automation, and 6S. - Assist in training and mentoring junior technicians, and communicate proactively with team members and supervisors regarding any challenges or obstacles. - Work closely with the RF Senior Technician, AIT Engineering, and Quality, ensuring clear communication so that satellite build-phase deadlines and technical specifications are met. What we’re looking for Must haves: - Relevant university degree in Aeronautical Engineering, Space Studies, Applied Physics, Electronics, or similar, or equivalent hands-on experience in a related role. - 4+ years of hands-on experience setting up, debugging, and running real test benches and satellite systems or interfaces, not just executing someone else’s scripts. - Proficient in a Linux environment, comfortable modifying and debugging Python scripts, and working with Git. - Systems thinking across avionics, power, and software, enough to tell a test setup fault from a genuine unit fault. - Experience using lab equipment such as power supplies, multimeters, and oscilloscopes. - Excellent communication skills, with particular attention to detail in procedures, preparation, and execution. - Ability to read and interpret technical drawings, assembly instructions, and schematics. - Proficient in English, both written and spoken, to ensure clear communication in a cross-functional environment. Nice to haves: - ICEYE-specific test frameworks, satellite bus specifics, Jira and MES flow, and launch campaign procedures. - Space or satellite AIT (Assembly, Integration, and Testing) background. - Experience with environmental testing (e.g. vibration/shaker rigs, thermal testing). - Experience using Atlassian Cloud (Jira, Confluence). - Lean & Six Sigma experience. Application Process - Talent Acquisition Interview - Hiring Manager General Interview - Technical Interview, including a Technical Challenge - Final Interview Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—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 Workplace: Remote Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. RESPONSIBILITIES - Kubernetes Ownership: Manage and scale Kubernetes clusters on AWS EKS, ensuring reliability, performance, and security. - Infrastructure Automation: Implement and maintain Infrastructure-as-Code (Terraform/Pulumi) to automate infrastructure provisioning and management. - Performance Optimization: Monitor and optimize system performance, scalability, and resource utilization. - Blockchain Infrastructure: Configure and maintain crypto nodes across multiple blockchains to support our wallet’s operations. - Database Scaling: Optimize and scale database infrastructure to handle terabytes of blockchain data efficiently. - System Reliability: Continuously improve system uptime, monitoring, and observability using tools like Datadog and OpenTelemetry. - Collaboration: Work closely with backend and product teams to support feature development and system scaling. QUALIFICATIONS - 5+ years in a SRE or Software Engineer role. - Strong hands-on experience with Kubernetes (EKS) in production environments. - Proficiency with AWS infrastructure and services (EC2, S3, RDS, IAM). - Solid experience with Docker and Infrastructure-as-Code tools like Terraform or Pulumi. - Monitoring and observability experience using tools like Datadog or OpenTelemetry. The target base salary for this role will range between $200,000 to $250,000 with the addition of equity and benefits. This is determined by a few factors including your skillset, prior relevant experience, quality of interviews and market factors (such as location) at the point in time of offer. Why Work With Us Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.   - Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world. - Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless. - Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation. Benefits (only available to full-time employees) - Competitive salary and equity - Comprehensive insurance (medical/dental/vision): base plan 100% covered - Flexible hours and a long-standing, supportive remote environment - Unlimited vacation: Take time when you need it (and we really mean it!) - 401(k) retirement plan - Wellness stipend - Weekly meal stipend - Learning & Development stipend - Remote / WFH set-up stipend We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.