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Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. We’re looking for a hands-on IT Infrastructure Engineer to help scale Sierra’s internal systems during a critical period of growth. You’ll be the second member of our IT Engineering team, partnering closely with our IT Lead, GRC Lead, and Platform Engineering team to build and operate the systems that support our company day-to-day. This is an engineering-first role. Our team approaches IT the same way product engineering teams build software: through code, automation, and well-designed systems. We build internal tools, ship integrations, and operate CI/CD-style workflows to manage identity, security, and infrastructure at scale. This is a foundational role with significant ownership. You’ll help design and implement core infrastructure, strengthen security controls, and improve how we operate internally. The right person enjoys building high-leverage systems, automating repetitive work, and creating well-documented, scalable solutions that make the entire company more effective. WHAT YOU'LL DO In your first few months, you’ll focus on: - Iterating on and improving internal tools that power IT and security workflows - Deploying a DLP solution and integrating it into automated enforcement pipelines - Building API-driven integrations between internal systems and our compliance automation platform More broadly, you will: - Design and scale internal infrastructure using code and infrastructure-as-code practices - Build and maintain internal tools and services - Improve and develop automation pipelines for provisioning, access management, and security controls - Treat IT systems like software: versioned, tested, and continuously improved - Partner with Platform Engineering and Security to implement scalable, programmatic solutions - Create clear, durable documentation to support long-term scalability WHAT YOU’LL BRING - Think of IT problems as engineering problems, and default to building over manual work - Have strong experience with identity platforms (Okta, Google Workspace, SSO, MFA, SCIM, OIDC) - Have deployed or managed DLP or related security solutions (e.g., ZTNA, Cloudflare) - Have extensive experience with IaC (Terraform) - Are comfortable writing code for automation (e.g., Python, Bash, or similar) - Have experience building internal tools or services that integrate via APIs - Are comfortable working with CI/CD concepts and automation pipelines - Are fluent in using and administering modern AI tooling - Understand SaaS lifecycle management and compliance requirements - Communicate clearly and document your systems well - Are comfortable operating independently in a fast-moving environment EVEN BETTER... - Background in software engineering or prior experience on a product engineering team - Experience building internal platforms or developer tooling - Familiarity with security tooling such as CASB, EDR, or MDM - Experience with access audits, data residency, or compliance controls - Experience deploying systems using AWS and infrastructure-as-code OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic is building and securing data center capacity at an unprecedented pace, and the power and cooling equipment that goes into those sites — switchgear, UPS, generators, transformers, busway, chillers, CDUs, air handlers, pumps and piping skids — is long-lead, high-value, and unforgiving of defects. A single nonconformance discovered at site can cost weeks of schedule. We're hiring a Manufacturing Quality Engineer to own quality at the source: inside our OEMs' and integrators' factories. You will qualify suppliers, define acceptance criteria, witness factory acceptance tests, drive corrective action to closure, and make sure equipment leaves the factory complete, conforming, documented, and ready to install. You are the person who catches the problem in Ohio before it becomes a problem in Texas. This is a hands-on individual-contributor role on the Compute DC Infrastructure team, partnering daily with Electrical and Mechanical Engineering, Strategic Sourcing, Construction, and Commissioning. It is not a supplier-relationship-management role and not a people-management role — the emphasis is technical quality engineering at manufacturing facilities. What You'll Do Supplier qualification and readiness Lead quality qualification of new and existing suppliers of power and cooling equipment, including on-site process audits, capability assessments, and manufacturing readiness reviews (MRRs) ahead of production release. Translate Anthropic engineering specifications into supplier-facing quality requirements: inspection and test plans (ITPs), acceptance criteria, witness/hold points, and documentation deliverables. Partner with Strategic Sourcing to embed quality requirements, Supplier Quality Agreements, and FAT/documentation expectations into RFPs and contracts. Factory acceptance and in-process quality Plan, witness, and sign off factory acceptance tests (FATs) for electrical gear (switchgear, UPS, transformers, gensets, busway, PDUs) and mechanical systems (chillers, CDUs, CRAH/fan walls, dry coolers, pumps, piping skids), including functional, performance, and integrated-system testing. Conduct in-process and pre-shipment inspections at supplier facilities; verify build-to-print conformance, workmanship, labeling, and traceability. Review and approve supplier test reports, quality data packages, and turnover documentation; ensure equipment ships complete and installation-ready. Nonconformance and corrective action Own the nonconformance (NCR) and deviation process for factory-found issues; lead containment, disposition, and root-cause analysis using 8D, 5-Why, FMEA, and fault-tree methods. Drive supplier corrective and preventive actions (CAPA) to verified closure with measurable, sustained improvement. Investigate field-reported defects that trace back to manufacturing, and feed lessons learned into supplier requirements, ITPs, and future RFPs. Metrics and continuous improvement Define and track supplier quality KPIs — first-pass FAT yield, defect rate, NCR aging, on-time documentation, supplier scorecards — and report them in quarterly supplier business reviews. Apply SPC and statistical analysis to supplier process data to identify systemic risk before it reaches a FAT. Help build the quality framework for a rapidly scaling, multi-supplier, multi-region equipment pipeline — templates, checklists, audit standards, and the operating rhythm around them. Who You Are 6–10+ years of quality engineering, manufacturing quality, or supplier quality experience in electrical or mechanical equipment manufacturing, mission-critical infrastructure, or a comparable regulated/high-consequence industry. Hands-on experience with at least one side of the data center equipment stack — medium/low-voltage switchgear, UPS, generators, transformers, busway, or chillers, CDUs, air handlers, pumps — and the curiosity to come up to speed fast on the other. Proven record planning and witnessing FATs and conducting supplier audits, with the judgment to know when to hold a shipment and when to accept with deviation. Deep fluency in structured problem-solving and quality tools: 8D, RCA, FMEA, SPC, control plans, PPAP or equivalent. Able to read electrical one-lines, P&IDs, and mechanical drawings and check a build against them. Strong technical writing — you produce ITPs, audit reports, and NCR packages that stand on their own. Comfortable operating with high autonomy and ambiguity, and communicating clearly to engineers, suppliers, and leadership. Bachelor's degree in Electrical, Mechanical, Manufacturing, or Industrial Engineering, or equivalent experience. Nice to Have Experience with hyperscale or AI data center equipment supply chains, or with OFCI (owner-furnished, contractor-installed) delivery models. Familiarity with liquid-cooling systems (CDUs, manifolds, quick disconnects) and the cleanliness, pressure, and leak-test regimes they require. Working knowledge of relevant standards: UL 891/1558/1778, IEEE C37, NEMA, AHRI 550/590, ASHRAE 90.4, ASME B31.x, ISO 9001 auditing. ASQ CQE/CQA, Six Sigma Green/Black Belt, or lead-auditor certification. Experience standing up a supplier quality function or QMS from a small base. Proficiency with QMS/ERP platforms and data tools (SQL, Power BI, or similar). Logistics Location: [San Francisco / hybrid — or remote US with hub access?] Travel: [40–60%] to supplier and integrator factories across the US and [internationally], with occasional visits to active construction sites. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: APAC Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers who are passionate about Bitcoin and its potential to change the world. Today, Blockstream is the leading Bitcoin company, providing cutting-edge infrastructure solutions for enterprises, institutions, and individual Bitcoin users. We develop industry-leading Bitcoin self-custody solutions, Bitcoin-based financial products, second-layer scaling technologies, and enterprise-grade blockchain infrastructure. Blockstream is looking for a Senior Platform Engineer to build and operate secure, resilient infrastructure across our global Bitcoin products and internal platforms. You will be a hands-on owner of Kubernetes, GCP, Terraform, GitOps, observability, and stateful production services. You will strengthen follow-the-sun operations during APAC hours, coordinate reliable handoffs with Europe, and turn operational incidents into durable automation, runbooks, and reliability improvements. What You’ll Be Doing (Key Responsibilities): - Own production reliability during APAC operating hours, including alert triage, incident coordination, mitigation, communication, and cross-region handoffs - After onboarding and shadowing, participate in a shared primary/secondary on-call rotation with documented backup and escalation paths - Build and operate GCP/GKE and hybrid Kubernetes infrastructure using Terraform, Atlantis, FluxCD, Helm, and Kustomize - Ship reviewed, observable, and reversible production changes through GitLab CI/CD and GitOps workflows - Build monitoring and alerting with Prometheus/Mimir, Grafana, Alertmanager, and Grafana IRM; improve alert quality, SLOs, runbooks, and post-incident actions - Operate stateful services and recovery mechanisms, including PostgreSQL/CloudNativePG, WAL backups, Redis, Kafka, persistent volumes, and capacity tuning - Manage IAM, Workload Identity, secrets, artifact registries, DNS, TLS, ingress, load balancers, and network policies - Automate repetitive operations using Python, Go, Bash, or similar tools - Review infrastructure changes and collaborate asynchronously with engineers across APAC, Europe, and North America What We Look For In You (Required Qualifications): - Typically five or more years of production experience in DevOps, SRE, platform engineering, or infrastructure operations, or equivalent demonstrated experience - Strong Kubernetes and cloud-platform experience; production GCP/GKE experience is preferred - Strong Terraform/IaC, GitOps, and CI/CD fundamentals - Solid Linux, containers, networking, DNS/TLS, IAM, and secrets-management knowledge. - Experience monitoring and responding to incidents involving distributed or stateful services - Practical scripting and automation skills. - Clear written and spoken English, with strong documentation and asynchronous handoff habits - Ability to work the published APAC schedule and participate in the defined on-call rotation Nice To Haves (Preferred Qualifications): - FluxCD, Helm, Kustomize, Atlantis, or GitLab CI - Prometheus, Mimir, Grafana, Grafana IRM, Loki, or Alertmanager - CloudNativePG, Barman/WAL recovery, Redis, Kafka, or GCS - Bitcoin, Elements/Liquid, electrs, Lightning, exchange-market-data, or other high-availability financial infrastructure - Hybrid/on-premises Kubernetes or security-sensitive infrastructure experience 🔒 Stay Safe from Job Scams All official Blockstream communication will come from an @blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.

Location: Europe; Poland; Spain; India (Remote); Remote — Romania; Remote Europe; Kenya; Estonia; Portugal; South Africa Location: Global Remote (Flexible: Poland, Spain, Portugal, Estonia, Romania, South Africa, and Kenya) Employment Type: Fixed-term, 1 Year Overview Seeking a highly hands-on AI and automation engineer to design, build, and scale intelligent solutions, integrations, and workflows that improve customer experience, operational efficiency, and farmer impact. Brief of the Role Our client is a social enterprise founded in 2006 that equips 5.5 million smallholder farmers to make their farms more productive. Across nine countries that together are home to two-thirds of Africa's farmers, they provide high-quality farm supplies, tree seedlings, accessible credit, modern agronomic training, and a wide range of other agricultural services. On average, this model enables any farmer to increase their income and assets on supported land by more than 35 percent, while permanently improving their resilience. This is all made possible by a team of 9,000+ full-time staff, drawn from diverse backgrounds and professions. Their Kenya program, founded in 2006, operates under a local brand. Close to 500 staff at the Kakamega headquarters support 1,747 field staff and serve more than 1 million farmers. In Nairobi, around 50 staff support global functions like procurement, recruitment, government relations, and communications. Seeking a highly hands-on AI and automation engineer to design, build, and scale intelligent solutions, integrations, and workflows that improve customer experience, operational efficiency, and farmer impact. Your Background Knowledge - Bachelor's degree or higher in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Engineering, Information Systems, or related technical field required - Strong understanding of artificial intelligence, automation, machine learning, analytics, and emerging technologies - Strong understanding of business process improvement, operational systems, and digital transformation principles - Good understanding of enterprise systems, integrations, software engineering, and technology platforms - Strong understanding of customer-centric design and technology adoption principles - Strong understanding of the organization's operating model, customer journeys, and strategic priorities Technical Skills - Strong AI engineering, automation engineering, and software development capability - Demonstrated experience building and deploying production-grade AI, automation, and intelligent workflow solutions - Strong solution design, systems-thinking, and workflow orchestration capability - Strong API, integration, middleware, and enterprise systems integration experience - Experience integrating AI capabilities into business processes, enterprise systems, and operational workflows - Ability to translate business challenges into practical AI and automation solutions - Ability to evaluate technical trade-offs and guide solution design decisions - Strong experimentation, analytical, and problem-solving capability - Ability to assess emerging technologies and determine practical business application Other - A proven track record of personally building and deploying production-grade AI and automation solutions, combined with a builder mindset for solving real-world business problems - Ability to balance hands-on delivery with effective team leadership, coaching, and mentorship to strengthen technical capability - Strong business and operational acumen, with the ability to navigate complex priorities and balance innovation against operational requirements - Proven ability to influence stakeholders and drive the organisational adoption of new technologies - A strong ownership mindset, with clear accountability for delivering measurable business outcomes and enhancing the customer experience - Driven by a passion for leveraging technology to improve farmer impact, combined with high learning agility and a commitment to continuous improvement Responsibilities & Expectations Drive AI and automation strategy to support organisational priorities - Partner with business leaders to identify opportunities where AI, automation, and intelligent systems can improve customer experience, operational efficiency, decision-making, and business performance - Translate organisational priorities into a clear pipeline of high-impact AI and automation initiatives - Support the development and execution of the organisation's AI and automation roadmap - Ensure AI and automation investments remain aligned to business priorities and deliver measurable value Design, build and deliver intelligent business solutions - Personally lead the full lifecycle (design, development, deployment, and scaling) of AI-enabled solutions, workflows, and automation capabilities - Architect and integrate AI solutions seamlessly across existing enterprise applications, data platforms, and operational systems - Build scalable, secure, and maintainable solutions that solve real business problems and fit specific operational needs - Balance innovation and delivery speed with long-term technical sustainability, risk management, and strategic requirements - Guide technical decision-making across AI, analytics, and process improvement initiatives - Maintain high engineering standards through rigorous architecture, code, and technical reviews Drive organisational transformation through AI and automation - Champion adoption of automation, AI, and intelligent ways of working across the organisation - Identify opportunities to simplify processes, reduce manual effort, improve controls, and enhance decision quality - Support the responsible adoption of emerging AI technologies and best practices - Ensure AI and automation initiatives are operationalised successfully and achieve intended outcomes Build a high-performing AI and automation team - Mentor engineers to strengthen AI, automation, and integration capabilities through hands-on guidance, pair-building, and technical reviews - Establish governance and operating standards to ensure consistent, high-quality execution - Drive a culture of innovation, accountability, and continuous learning - Deliver solutions that consistently meet business goals, timelines, and adoption targets Monitor performance and maximise business value - Monitor the performance, adoption, and impact of AI and automation solutions across the organisation - Proactively identify operational, technical, ethical, and adoption risks and implement mitigation strategies - Continuously improve the effectiveness, sustainability, and value realization of deployed solutions - Ensure the AI and automation portfolio continues to support long-term growth and strategic ambitions What You Can Expect from the Company Career Growth and Development We have a strong culture of constant learning, and we invest in developing our people. You'll have weekly check-ins with your manager, access to mentorship and training programs, and regular feedback on your performance. We hold career reviews every six months and set aside time to discuss your aspirations and career goals. You'll have the opportunity to shape a growing organization and build a rewarding long-term career. Comprehensive Benefits Health insurance, housing, and comprehensive benefits.

Location: Europe; Poland; Spain; India (Remote); Remote — Romania; Kenya; Estonia; Portugal; South Africa Build an Agricultural Enterprise's Automation Capability | AI & Automation Engineering Leadership | Hands-On Engineering + Business Partnership | Kenya-Based (Flexible for the Right Candidate) BRIEF OF THE ROLE Our client is seeking an exceptional AI and automation engineering leader to build their automation capability, lead high-impact solutions, and help scale farmer impact through hands-on engineering, business partnership, and technical leadership. Our client is a social enterprise supporting millions of smallholder farmers through farm supplies, financing, and digital services, currently investing heavily in an internal AI and automation engineering capability to support its long-term strategic ambitions. QUALITIES WE SEEK Knowledge - Master's degree in a relevant technical field (Computer Science, Software Engineering, Data Science, AI, Information Systems) or a Bachelor's degree with relevant certifications - Comprehensive understanding of how AI, automation, and software engineering drive organizational strategy and business performance - Expert knowledge of enterprise systems, automation platforms, digital transformation, and organizational change management - Deep understanding of the organization's operating model, customer journeys, and long-term strategic ambitions Technical Skills - Demonstrated expertise building and deploying production-grade AI, automation, and software solutions, including complex enterprise system integrations (APIs, middleware, third-party platforms) - Strong solution architecture and systems-thinking, with the ability to translate strategic business priorities into scalable technical roadmaps and identify practical applications for emerging technologies - Proven ability to guide technical decision-making, evaluate complex trade-offs, and conduct rigorous architecture and code reviews - Robust portfolio management and prioritization capabilities to ensure sustained, high-impact delivery Other - Proven track record in hands-on delivery of production-grade technology solutions, balancing deep engineering contribution with effective leadership and capability building - Strategic leader with strong commercial and operational acumen, capable of influencing senior stakeholders and driving organizational change amidst ambiguity - Ownership-driven mindset, accountable for delivering measurable business outcomes and passionate about leveraging technology to maximize farmer impact RESPONSIBILITIES & EXPECTATIONS Set and Drive AI Strategy, Automation, and Engineering: Partner with senior leadership to identify how automation, AI, engineering, and technology can accelerate strategic priorities and farmer impact; translate business needs into a clear engineering and automation roadmap; evaluate emerging technologies and recommend investments that improve customer experience, operational efficiency, scalability, and financial sustainability; act as a strategic thought partner to business leaders on opportunities, trade-offs, risks, and innovation priorities. Lead the Design and Delivery of Scalable AI, Automation, and Business Solutions: Ensure automation, AI, enterprise systems, integrations, and software solutions are designed to solve real business problems and deliver measurable value; guide solution architecture and engineering decisions to balance speed, quality, sustainability, and scalability; personally contribute to the design, review, prototyping, and delivery of high-priority automation, AI, integration, and software initiatives; conduct architecture reviews, solution reviews, and technical quality assessments; establish and oversee integration standards across enterprise systems, AI platforms, automation solutions, middleware, APIs, and third-party technologies; ensure business systems exchange information reliably and efficiently; oversee the successful delivery, adoption, and performance of the automation and engineering portfolio. Build and Strengthen AI & Automation Engineering Capability: Lead, coach, and develop a high-performing engineering team, fostering a culture of ownership, innovation, and disciplined execution; establish robust governance and performance standards (SOPs) to ensure consistent delivery excellence, reliability, and continuous improvement; build long-term technical leadership and succession pipelines by mentoring specialists in AI, automation, and integration aligned with strategic goals. Drive Organizational Transformation Through Automation and AI: Champion the adoption of automation, AI, and modern engineering practices across the organization; identify opportunities to simplify processes, improve decision-making, reduce cost-to-serve, and enhance customer experience; ensure automation and AI initiatives are delivering measurable operational and business impact; position the organization as a leader in the practical application of technology within agricultural operations. Provide Stewardship of the AI & Automation Engineering Portfolio: Monitor the health, performance, value realization, and sustainability of engineering investments across the organization; proactively manage technical, operational, and delivery risks; balance immediate delivery priorities with long-term platform, capability, and organizational needs; ensure the engineering portfolio continues to support business growth, resilience, and future strategic ambitions. Maintain External Awareness and Organizational Influence: Stay informed on industry trends, emerging technologies, and leading engineering practices; build strong partnerships across the organization and external technology ecosystems; represent engineering and automation priorities in strategic discussions and planning forums; continuously elevate the organization's understanding and effective use of technology. WHAT YOU CAN EXPECT FROM THE COMPANY Career Growth and Development: A strong culture of constant learning and investment in people - weekly check-ins with your manager, access to mentorship and training programs, and regular feedback on your performance. Career reviews every six months, with time set aside to discuss your aspirations and career goals. The opportunity to shape a growing organization and build a rewarding long-term career. Comprehensive Benefits: Health insurance, housing, and comprehensive benefits.

Location: Lisbon, Portugal About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Lisbon, Portugal About the Department Cloudflare's Network Engineering Team builds and runs the infrastructure that runs our software. The Engineering Team is split into two groups: one handles product development and the other handles operations. Product development covers both new features and functionality and scaling our existing software to meet the challenges of a massively growing customer base. The operations team handles one of the world's largest networks with data centers in 190 cities worldwide and a couple of large specialized data centers for internal needs. About the role Cloudflare operates a large global network spanning hundreds of cities (data centers). You will join a team of talented network automation engineers who are building software solutions to improve network resilience and reduce engineering operational toil. You will work on a range of tools, infrastructure and services - new and existing - with an aim to elegantly and efficiently solve problems and deliver practical, maintainable and scalable solutions. Leverage AI tools and automated assistants to streamline daily workflows. Examples Of Desirable Skills, Knowledge And Experience BA/BS in Computer Science or equivalent experience 3+ years of proven experience in developing software components for network automation. Understanding of software development principles, design patterns, and various programming languages (like python and golang) Proficient with modern Unix/Linux operating systems/distributions Experience in MySQL, Postgres, Clickhouse  (or equivalent SQL language) Experience with CI/CD, containers and/or virtualization Experience with Observability systems like prometheus, grafana (or equivalents) Demonstrated experience working alongside AI assistants or automated tools to augment task execution and project delivery Bonus Points: Knowledge of Networking engineering, with competencies in Layer 2 and Layer 3 protocols and vendor equipment: Cisco, Juniper, etc. Experience building and maintaining large distributed systems Experience managing internal and/or external customer requirements and expectations Compensation Compensation may be adjusted depending on work location. For Portugal based hires: Estimated annual salary of €54,000 - €75,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family. What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Singapore About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is searching for a Sr. Enterprise Networks Engineer with strong automation skills to design, implement, and optimize enterprise networks, including wired, wireless, and VPN infrastructure. Your responsibilities will include: Lead the design, implementation, and optimization of enterprise wired and wireless networks, ensuring scalability, security, and high availability Own and maintain network connectivity between branch offices around the world, partnering with global teams to standardize architecture and operations Manage and ensure the reliable operation of remote access systems (VPN), including capacity planning, resiliency, and continuous improvements Deploy, maintain, and continuously improve automation and monitoring tools; define best practices and drive automation-first operations Diagnose and resolve complex network issues, including cross-region and cross-provider incidents; perform root cause analysis and implement preventative measures Test, evaluate, and introduce new equipment and emerging technologies; contribute findings and recommendations into global R&D streams Collaborate with telecom service providers globally; lead escalations, manage SLAs, and drive service improvements We expect you to have: In-depth knowledge of TCP/IP technologies Familiarity with dynamic routing protocols Experience in automation using Python, Go, or other popular programming languages (ability to design and maintain production-grade automation) Proficiency in Unix system administration Hands-on experience with enterprise-grade network hardware (e.g., Cisco, Aruba, Arista, Extreme, Juniper) Strong ability to work independently, owning outcomes end-to-end in a senior/lead capacity It will be an added bonus if you have: Experience with network automation frameworks like Ansible, Terraform, NetBox, Nornir, or SaltStack Experience designing, developing, and operating high-load distributed systems Experience building high-density enterprise wireless networks (CWNA level or higher) Working knowledge of IPv6 Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Loveland, CO; Omaha, NE Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description As an Assistant Engineer for Olsson’s Rail Track Team, you will be responsible for a wide variety of tasks including track & civil design, project execution, quality control reviews, scheduling, estimating, and potential travel for projects.  You will also support marketing and business development efforts, coordinate with technical staff, and promote efficiencies in producing quality work. Primary duties and responsibilities: Assists with project design elements for engineering projects utilizing familiarity with standard techniques and established methods. Performs entry-level plan production and receives clearly defined instructions for necessary tasks. Gains knowledge and experience working within design and modeling software. Receives guidance from senior level staff to assist with project schedules and technical engineering calculations. Contributes to limited portions of a broader project while under direct supervision. Gathers and prepares research to assist with the assembly of technical reports. May provide mentoring to student interns by answering questions and offering guidance with routine assignments. May travel and work in all types of terrain and weather conditions at project sites in various stages of construction. Qualifications You are passionate about: Working collaboratively with others Having ownership in the work you do Using your talents to positively affect communities You bring to the team: Bachelor’s degree in civil engineering. Must possess or obtain Engineer Intern certificate (EI). Strong communication skills. Has solid interpersonal, problem-solving, and decision-making skills. Has the ability to diligently research applicable requirements and regulations. Has advanced mathematical and analytical abilities. Has working knowledge (or the ability to become proficient) in MicroStation, InRoads and OpenRail. Develops an understanding of how the firm operates as a consulting business and how this role contributes to the success of the organization. Has a valid driver’s license and a good driving history. #LI-AF1 Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Location: Espoo Workplace: Hybrid Role highlights: - Supplier Quality Engineer - Electronics - Location: Finland - Department: Mission Assurance & Reliability - Reports to: Manager, Mission Assurance & Reliability - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO) Why this role matters: As a Supplier Quality Engineer - Electronics, you’ll play a key role in ensuring the quality, reliability, and scalability of ICEYE’s external manufacturing ecosystem. You will drive supplier quality activities across the full supplier lifecycle, from supplier selection and qualification to ongoing performance management and continuous improvement. Working closely with Supply Chain, Engineering, AIT Engineering, and external manufacturing partners, you will help ensure that critical electronic components and assemblies meet the highest standards for mission-critical space hardware. Your work will directly support ICEYE’s ability to deliver reliable, manufacturable, and high-performance systems at scale. Who We Are ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. Your day-to-day responsibilities - Lead supplier preselection activities and supplier audits to assess capability, maturity, and compliance with ICEYE and industry standards - Define and communicate technical and quality requirements to suppliers, ensuring clear understanding and consistent compliance across the supply chain - Monitor supplier performance through quality, delivery, and responsiveness metrics, driving corrective and continuous improvement actions where needed - Manage supplier change requests, part approvals, process approvals, and configuration control activities together with Engineering and Configuration Management teams - Lead supplier part qualification activities to ensure compliance with technical, quality, and regulatory requirements before production release - Identify and proactively mitigate supplier-related risks to support continuity of supply, product quality, and delivery performance - Collaborate closely with Design and AIT Engineering teams to improve manufacturability and inspectability of electronic assemblies and components - Act as the primary point of contact for supplier-related quality issues, including non-conformances, deviation requests, and waiver management What we’re looking for Must haves: - Degree in Engineering, preferably in Electrical Engineering, Electronics, Aerospace Engineering, or a related field - Strong experience in supplier quality management for high-reliability electronics, including audits, qualification activities, and supplier performance management - Deep understanding of electronics manufacturing processes and requirements for high-performance / harsh-environment electronic products, including PCB assembly, cable and harness assembly, and inspection methodologies. - Experience managing non-conformances, root cause analysis, corrective and preventive actions in high-reliability manufacturing environments - Ability to read and interpret schematics, PCB layouts, bills of materials, and detailed technical specifications - Strong understanding of traceability, configuration control, and change management for mission-critical hardware - Data-driven mindset with the ability to analyze supplier performance and identify improvement opportunities - Strong communication and stakeholder management skills across suppliers and cross-functional internal teams - Ability to drive results and influence decisions without direct authority - Structured problem-solving approach with strong analytical thinking skills - High level of ownership with a proactive and hands-on working style - Ability to manage multiple priorities in a fast-paced and evolving environment - Ability to travel at least once a month to meet with our suppliers Nice to haves: - Familiarity with IPC-A-610 Class 3, IPC/WHMA-A-620 Class 3, J-STD-001, and ECSS standards - Experience working with ERP systems in production environments - Experience in aerospace, defense, automotive, or other high-reliability manufacturing industries Application Process - Screening - Initial Interview - Task & Presentation - Final On-site Interview Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Worldwide We are looking for an experienced and driven Engineering Manager to manage our DWH Data Tools team . This team is responsible for managing and evolving our critical data ecosystem tools, including Superset, Jupyter Hub, and DataHub, while also developing new, in-house solutions - including internal BI and data-exploration tools - to fit specific business needs. This role merges technical leadership with comprehensive team management. The ideal candidate will possess strong leadership skills and technical expertise across the team's stack - Python, plus Node.js and Go - along with a proven track record managing engineering teams and data platforms. You will be pivotal in planning, optimizing development processes, and translating product ideas into robust technical solutions that solve real user pain points - often while navigating shifting priorities and evolving business needs. Challenges that await you: People Management: Lead, mentor, and manage a team of engineers. Take ownership of their performance, regular 1-on-1s, and continuous professional development Product Collaboration & Solution Brainstorming: Collaborate closely with product stakeholders to understand user pain points. Lead the brainstorming of technical solutions and translate product vision into actionable designs Planning & Execution: Drive planning activities for the team. Create and manage development plans, adeptly handling flexible deadlines and shifting business priorities Service Maintenance: Oversee service maintenance in strict alignment with SRE processes, taking responsibility for the reliability, stability, and incident control of the tools within the DWH Architecture & Development: Oversee the architecture, design, and implementation of data tools (Superset, Jupyter Hub, DataHub) and lead the development of custom solutions to meet new business requirements Stakeholder Communication: Manage communication with data engineers, analysts, and other stakeholders to ensure seamless data integration and tool usability What makes you a great fit: 1+ years of experience managing engineering teams in fast-paced settings, preferably fintech with Python or Go stack Hiring, development, performance, and delivery management and strong skills in cross-functional collaboration and the ability to build partnerships Strong technical expertise in designing, deploying, and managing data tools (e.g., BI platforms, data notebooks, or data catalogs) Proven ability to manage flexible planning, balancing dynamic priorities and deadlines Excellent communication and collaboration skills, with the ability to partner effectively across teams and regions An adaptable, structured mindset — able to prioritize effectively and stay grounded amid ambiguity and change B1 or higher English level for effective communication with an international team Your bonus skills: Experience implementing or maintaining services alongside SRE processes Work experience in DWH and/or the banking/fintech sphere Familiarity with the technical stacks or internals of Superset, Jupyter Hub, or DataHub Experience with data integration frameworks (e.g., Apache Kafka) Knowledge of ETL tools (e.g., Airflow, DBT) Experience with Kubernetes Experience with Snowflake or Lake House architectures Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions Honest Feedback: valuing open, transparent communication Supportive Team: a strong, collaborative community Celebrating Achievements: recognizing our wins together High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances Our benefits: Relocation support to one of our hubs — Cyprus, Spain or Georgia — with assistance for the employee and their family Flexible work from one of our offices or remote Healthcare Coverage Education Budget: Language lessons, professional training and certifications Wellness Budget: Mental health and fitness activity reimbursements Vacation Policy: Annual leave and paid sick leave as per applicable policies

Location: Wrocław, Poland What is Box? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. Why Box needs you: We are looking for a Machine Learning Engineer to design, build, and operate reliable machine learning systems that deliver meaningful product impact at enterprise scale. In this role, you will combine strong software engineering and applied machine learning skills to take solutions from idea through production. You will work closely with engineering, product, data, and infrastructure partners to develop scalable ML and agentic capabilities, improve model quality, and ensure that systems are secure, observable, and dependable for Box customers. The Metadata Extraction team builds AI-powered capabilities that transform unstructured enterprise content into structured, usable metadata. The team works on the platform and machine learning layer of document understanding, developing and operationalizing technologies such as OCR and LLM-based extraction agents. These capabilities help understand document layout, tables, handwriting, semantic content, and other complex information within enterprise documents. As a Machine Learning Engineer, you will build reliable, scalable systems that support the development, evaluation, deployment, and operation of these AI capabilities. You will collaborate with engineers, product partners, and adjacent platform teams to bring document intelligence features to Box customers at enterprise scale. What you'll do: Design, build, deploy, and maintain production LLM agents, machine learning models and services. Develop robust data preparation pipelines, prompt and tool design, and agentic workflows. Write high-quality, maintainable, and well-tested Python code for production systems. Partner with Product, Software Engineering, Data, and Infrastructure teams to translate customer and business needs into ML-powered capabilities. Evaluate and improve agents quality using appropriate offline and online metrics, eval sets, experiments, and feedback loops. Monitor production ML systems for quality, reliability, latency, cost, and data or model drift; investigate and resolve issues as needed. Contribute to the architecture of scalable services and pipelines that support real-time and batch ML workloads. Create clear technical designs, documentation, tests, and operational runbooks. Share knowledge, contribute to engineering best practices, and help raise the bar for code quality and operational excellence. Participate in an on-call rotation and help triage production issues when on call. Who you are: We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. You have 3+ years of experience building, deploying, or operating production software, data, or machine learning systems. You have strong programming skills in Python and are comfortable writing production-grade, readable, testable, and maintainable code. You have practical experience with the LLM based agents lifecycle: data and eval-set preparation, prompting and tool schemas, RAG, evaluation, deployment and monitoring. You have experience with LLM application frameworks and libraries, such as LangChain, LangGraph, PyTorch, Pydantic, Pandas, or NumPy, and are comfortable calling LLM APIs (e.g. Gemini, Claude, OpenAI). You understand core machine learning concepts and can make pragmatic trade-offs between model performance, reliability, latency, scalability, and cost. You have experience building APIs, services, pipelines, or distributed systems in a cloud environment. You are familiar with CI/CD, observability, testing, and production support practices. You communicate clearly with both technical and non-technical partners. You have an ownership mindset, enjoy solving ambiguous problems, and work collaboratively across teams. Nice to have: Experience with MLOps tooling, model monitoring, feature stores, workflow orchestration, or experiment tracking. Experience with generative AI in production: multi-provider gateways, semantic search, or structured extraction. Experience with multimodal intelligent document processing workflows. Experience with a major cloud platform, including GCP, AWS, or Azure, and technologies such as Kubernetes and Terraform. Experience with SQL and large-scale analytics (e.g. BigQuery) for quality, cost, and incident investigation. Experience in enterprise software, security, search and retrieval, or content intelligence. Experience mentoring engineers or contributing to technical direction. Methodology Agile management - Scrum Issue tracking tool -Jira Knowledge repository - GitHubEnterprise Code reviews - GitHubEntreprise Version control system - GIT BENEFITS Check out the overview of Life at Box which include general perks and benefits. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. For details on how we protect your information when you apply, please see our Personnel Privacy Notice . For more details on how Box Poland protects your information, please see our Supplemental Personnel and Candidate Privacy Notice . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-hybrid #LI-OB1

Location: Munich; Neuss; Berlin Workplace: Hybrid ROLE HIGHLIGHTS: - Role: Forward Deployed AI Engineer - Department: Forward Deployed Engineering - Location: Germany - Reports to: VP, Forward Deployed Engineering - Working type: Hybrid (On-site at customer locations approx. 50% of time) - German security clearance (Sicherheitsüberprüfung Ü1/Ü2/Ü3) - Must be eligible and able to attain relevant national and NATO security clearances - Must be based in-country and native level speaker of the country you're deploying to. THE MISSION OF THE FORWARD DEPLOYED AI ENGINEER In this role, you'll be the hands-on AI builder defense and intelligence customers rely on. You’ll deploy ICEYE’s intelligence platform into secure (often air-gapped) environments and rapidly ship AI-powered workflows on top of it—everything from Docker-based deployments to RAG systems fusing SAR imagery with intelligence reports. This is a ship-code-daily role: turning raw satellite data into mission-critical tools analysts use to protect nations. 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. DAY TO DAY RESPONSIBILITIES: PLATFORM DEPLOYMENT & INTEGRATION - Deploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centers). - Build and maintain containerized applications (Docker) and manage deployments in customer Kubernetes clusters. - Develop APIs and data pipelines connecting ICEYE systems to customer C4ISR infrastructure and intelligence tools. - Troubleshoot deployment issues in disconnected environments without external internet access. AI SOLUTION DEVELOPMENT & CUSTOMIZATION - Build Retrieval-Augmented Generation (RAG) systems that combine ICEYE SAR data with customer intelligence documents for context-aware analysis. - Develop AI agents and workflows using frameworks like LangChain, LangGraph, or similar tools to automate analytical tasks. - Implement prompt engineering strategies and conversational AI interfaces that enable analysts to query satellite data using natural language. - Create Model Context Protocol (MCP) integrations connecting AI systems with customer data sources. DATA FUSION & INTELLIGENCE WORKFLOWS - Build data fusion pipelines combining SAR imagery with additional intelligence sources (AIS, RF signals, optical imagery, SIGINT). - Develop automated workflows that correlate and cross-reference information across different data modalities. - Create lightweight tools, dashboards, and alerting systems tailored to customer operational needs. CUSTOMER ENGAGEMENT & RAPID PROTOTYPING - Work embedded with intelligence analysts, data scientists, and military operators to understand mission-critical problems. - Rapidly prototype AI-powered solutions (code first, polish later) that address immediate operational requirements. - Conduct hands-on training sessions on platform capabilities and AI workflow usage. - Gather customer feedback and translate it into technical requirements for ICEYE's product and engineering teams. WHAT WE ARE LOOKING FOR MUST HAVE SKILLS: - 3+ years hands-on software engineering building and deploying production systems. - Strong Python programming skills (required) plus one of: Go, TypeScript, or Rust. - Hands-on experience with LLMs, prompt engineering, and RAG systems. - Working knowledge of agent frameworks (LangChain, LangGraph, pydantic-ai) and vector databases. - Experience with Docker and deploying in secure / isolated / air-gapped environments. - Practical experience with APIs, data pipelines, and integrating systems in production, - Familiarity with Linux and basic Kubernetes operations. - Builder mindset: ship fast, iterate with feedback, and prioritize working solutions over perfect architecture. - Strong communication + customer engagement, able to work embedded with intelligence analysts / military operators. - Strong spoken and written English, able to explain technical concepts to non-technical stakeholders. - Willingness to travel 40–60% to customer sites within the region. NICE TO HAVE SKILLS: - Experience in defense, intelligence, or government operational environments. - Deploying to on-prem data centers and/or air-gapped networks. - Familiarity with geospatial data, satellite imagery, or remote sensing. - Experience with MCP integrations, multi-agent systems, or agentic workflows. - Deeper Kubernetes, IaC (Terraform/Ansible), and/or offline CI/CD. - Understanding of intelligence analysis workflows and defense/government requirements. - Experience with data fusion, multi-source intelligence integration, or GIS tools (ArcGIS, QGIS). - Background in solution engineering, technical consulting, or customer success. - Experience in defense tech (e.g., Palantir, Anduril, Scale AI, similar startups). APPLICATION PROCESS - Talent Acquisition Interview - Take home task - Hiring Manager Interview - Hiring Team Interview - Offer Decision WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com https://www.iceye.com

Location: Hong Kong Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We are looking for a Quantitative Data Engineer to join the Data Search & Analytics team. In this role, you will work with the Research and Trading desks to ensure the successful leveraging of data at the firm. Your future role within QRT This team is integral to the firm’s success. As such, your responsibilities will include: Collaborating with Quantitative Researchers and Traders to design datasets that drive systematic strategies and discretionary trading decisions. Working within our framework to extract, clean, and aggregate data from a wide range of raw sources and formats ensuring robust data extraction processes Managing end-to-end process of onboarding new datasets Proactively solving data related problems to minimise time to production Innovating and experimenting with novel data extraction methods to enhance the firm’s data onboarding toolkit Your present skillset 3+ years of experience as a Data Engineer (or similar position) working with financial data; experience in a buy-side quantitative finance role is advantageous Rigorous about correctness: able to critically assess code and data quality, regardless of origin Experience using AI-powered development tools to accelerate engineering tasks and improve productivity Advanced programming experience in Python, including proficiency with data handling libraries such as Pandas, Polars and NumPy Familiarity with SQL and relational databases Demonstrable interest in financial markets and the application of data in its analysis and understanding Experience working with both traditional and alternative financial datasets Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors Experience creating documentation and providing direct support to help stakeholders understand and use complex datasets quickly Ability to work in a high-performance, high-velocity environment QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As a Mechanical Design Engineer, you'll provide technical expertise for data center mechanical infrastructure, including cooling systems, HVAC, and critical equipment. You'll assess designs, capacity, reliability, and operational readiness to ensure data centers meet performance and scalability requirements. This is a build-phase role for someone who can independently evaluate complex systems while helping establish engineering standards and best practices for future deployments. Travel: This position will require on-site presence at data centers. Your responsibilities will include: Lead mechanical engineering evaluations for data center opportunities. Assess cooling infrastructure, HVAC systems, and critical mechanical equipment. Evaluate air-cooled, liquid-cooled, and hybrid cooling solutions for AI and hyperscale environments. Provide mechanical feasibility recommendations and Go/No-Go project input. Conduct technical due diligence on existing and new data center facilities. Review cooling capacity, chiller plants, CRAH/CRAC systems, and liquid cooling readiness. Evaluate equipment availability, vendor capabilities, lead times, and deployment risks. Support cooling topology, mechanical design strategy, and equipment selection decisions. Validate mechanical design assumptions, capacity requirements, and construction readiness Partner with engineering teams, vendors, and consultants to ensure scalable, reliable data center solutions. We expect you to have: Experience supporting hyperscale data center or AI infrastructure development. Experience with BMS controls integration and mechanical systems commissioning. Professional Engineer (PE) license or similar professional certification. Experience evaluating colocation or build-to-suit mechanical infrastructure in a due diligence capacity. You're comfortable operating in ambiguity and building technical evaluation processes where none exist. You know how to independently assess complex mechanical infrastructure while helping define how future projects should be evaluated. 8+ years of experience in data center mechanical engineering, MEP design, or mission-critical mechanical systems. Experience with cooling topology design, liquid cooling systems, chiller plants, and CRAH/CRAC systems for high-density AI/hyperscale environments. Strong understanding of mechanical capacity planning, equipment selection, and capex trade-offs in data center design. Experience evaluating mechanical feasibility of sites or facilities prior to commercial commitment. Excellent communication and executive presentation skills. Bachelor's degree in Mechanical Engineering or a related discipline, or equivalent experience. It will be an added bonus if you have: Experience supporting hyperscale data center or AI infrastructure development. Experience with BMS controls integration and mechanical systems commissioning. Professional Engineer (PE) license or similar professional certification. Experience evaluating colocation or build-to-suit mechanical infrastructure in a due diligence capacity. Key employee benefits: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: up to $85/month for mobile and internet. Disability & life insurance: company-paid short-term, long-term and life insurance coverage. Compensation We offer competitive salaries ranging from $115K to $225K OTE, which includes base salary and bonus. Join Nebius Today! Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $115,000 — $225,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role As an Electrical Design Engineer, you'll support the design, review, and development of critical electrical infrastructure, including low-, medium-, and high-voltage systems. This role is ideal for someone with hands-on data center design experience who can drive technical decisions, coordinate with partners, and ensure designs meet operational and regulatory requirements. Travel: This position will require on-site presence at data centers. Your responsibilities will include: Review electrical design packages for data center projects, including internal concepts and third-party partner designs. Support development of electrical design concepts for high-density data center environments. Evaluate UPS, LV, MV, and HV electrical infrastructure. Review cable distribution, electrical pathways, and design coordination with data hall layouts. Partner with mechanical, construction, commissioning, and operations stakeholders to ensure designs are buildable, maintainable, and aligned with business needs. Assess designs for concurrently maintainable data center operations and high power-density environments. Help identify alternative design solutions, product options, and technical tradeoffs. We expect you to have: 3+ years of experience with electrical systems in large-scale data centers or other critical infrastructure environments. Professional Engineering (PE) license or ability to obtain one within 2 years. Experience designing, operating, commissioning, or maintaining electrical distribution systems. Strong knowledge of UPS systems, generators, switchgear, transformers, and power distribution equipment. Understanding of medium- and high-voltage electrical systems and protection schemes. Experience leading engineering teams and driving technical projects in complex environments. Ability to manage internal stakeholders, consultants, vendors, and outsourced project teams. Knowledge of electrical codes and standards, including NFPA 70 and UL requirements. Experience with power system analysis tools such as SKM, ETAP, or Cymcap. Ability to interpret construction drawings, support commissioning activities, and collaborate across multidisciplinary teams. It will be an added bonus if you have: Experience with neocloud, GPU, or AI infrastructure data centers. Experience at hyperscalers, colocation providers, or mission-critical engineering environments. Familiarity with high-density rack environments. Experience supporting design reviews through commissioning or operational turnover. Key employee benefits: Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families. 401(k) plan: up to 4% company match with immediate vesting. Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: up to $85/month for mobile and internet. Disability & life insurance: company-paid short-term, long-term and life insurance coverage. Compensation We offer competitive salaries ranging from $115K to $225K OTE, which includes base salary and bonus. Join Nebius Today! Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $115,000 — $225,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: Brazil; Poland; Argentina; Colombia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Forward Deployed Engineer to work directly with clients on high ambiguity GenAI, agentic AI and AI-enabled workflow transformation initiatives. This role is designed for someone who can operate at the intersection of customer discovery, hands-on engineering, solution architecture, early delivery and production adoption. You will work closely with client stakeholders and users to uncover the real operational problem, build thin end-to-end solutions with real systems and data, validate feasibility, shape the delivery path and stay involved through MVP or first production release to assure alignment with expected outcome. ROLE MISSION Your mission is to turn ambiguous customer problems into validated, production-grade AI solutions. You will help Solvd move from “we can build this” to “we have proven this works in the customer’s real operating environment.” You will bridge presales, discovery, prototyping and delivery, while converting field learnings into solution blueprints and service accelerators. YOUR RESPONSIBILITIES - Lead discovery and solution shaping for GenAI / Agentic AI initiatives, working directly with client stakeholders, users and technical teams to understand workflows, systems, data and business constraints. - Drive early-stage opportunities partnering with account executives, product analysts and technology SMEs to prototype, define scope, implementation roadmap and effort estimates. - Translate ambiguous business problems into validated AI solution designs covering model strategy, data access, orchestration, tool use, integration patterns and production constraints. - Build proof-of-concepts fast, prioritizing speed and impact over perfect design, technical spikes to validate architectural assumptions using real or representative systems and data. - Evaluate and select appropriate AI frameworks, platforms and tools, including LLMs, vector databases, orchestration frameworks, cloud AI services and agentic tooling. - Present, defend and explain complex AI, architecture and delivery concepts in simple, practical terms for both business and technical stakeholders. - Stay involved through MVP or first production release to preserve context, support delivery teams and validate that the solution works in the customer’s operating environment. - Define evaluation criteria for AI quality and business impact, including accuracy, groundedness, tool-call correctness, latency, cost, adoption and workflow effectiveness. - Ensure proposed solutions adhere to security, compliance, Responsible AI, observability and production-readiness principles. - Convert field learnings into reusable Solvd assets, including solution blueprints, evaluation frameworks and service accelerators. OUR REQUIREMENTS - A seasoned hands-on technical leader who has evolved from full-stack or server-side software engineering into the GenAI and agentic AI domain. - Experienced in designing, prototyping and integrating systems that combine LLMs, agentic frameworks, enterprise data and business workflows. - Proficient at combining established engineering patterns with emerging AI capabilities to deliver reliable, production-ready solutions. - Skilled in guiding teams and clients through ambiguity - able to prototype rapidly, validate assumptions and converge toward delivery-ready designs. - Comfortable engaging with executives, product teams, operational users and engineers alike, translating complex AI concepts into clear, actionable solution narratives. - Pragmatic, curious, collaborative and obsessed with customer problem — equally focused on technical soundness, business value, user adoption and delivery readiness. - 8+ years of experience in IT, including strong experience in software design and engineering. - 2+ years of hands-on experience architecting or building GenAI or agentic AI systems using modern LLM ecosystems, such as OpenAI, Anthropic, Gemini, Azure AI or AWS Bedrock. - Experience supporting presales solutioning, discovery, prototyping or early delivery for AI engagements. - Strong understanding of LLM orchestration, retrieval-augmented generation, vector databases, prompt engineering and tool-calling patterns. - Understanding of cost modeling for AI workloads, including token usage, inference scaling and hosting models. - Proficiency with at least one major cloud platform, such as AWS, Azure or GCP, and its AI/ML service offerings. - Demonstrated experience leading technical discussions with both engineering and non-technical stakeholders in presales, discovery or early delivery phases. - Strong command of software engineering fundamentals, API design, integration patterns and production-readiness practices. - Knowledge of modern software delivery practices, including CI/CD, containerization, observability and DevSecOps. - Excellent communication, presentation and documentation skills, with the ability to articulate complex solutions clearly and persuasively. OPTIONAL - Prior experience as a Forward Deployed Engineer, Field Engineer, staff engineer, solution architect or technical product lead. - Prior experience with traditional AI/ML systems, including model training, MLOps, data pipelines or feature stores. - Familiarity with frameworks for agentic or multi-component AI pipelines. - Exposure to Responsible AI, data privacy and governance frameworks. - Hands-on experience with Databricks or Snowflake. - Experience creating reusable solution blueprints, evaluation frameworks or technical accelerators. - Industry-recognized cloud and AI certifications from Anthropic, AWS, Azure or Google. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: US, Boston, MA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. ABOUT THE ROLE We are seeking a Field Applications Engineering Manager to lead the deployment and integration of our humanoid robot solutions at customer facilities in North America. The role involves managing a team of Field Applications Engineers, planning and resourcing deployments, conducting on-site visits to customer facilities, leading demos, managing deployment projects as well as acting as the accountable person for deployment acceptance testing, site integration and robot operations. This position requires leadership, technical expertise, flexibility, problem-solving skills, and a customer-centric approach.   WHAT YOU'LL DO - Manage the North America deployment team, including 1:1s, performance, mentoring and coaching. - Allocate and schedule the team, resources and support required to meet deployment milestones. - Lead the deployment and implementation of humanoid robot solutions at customer locations. - Oversee the planning, preparation and execution of on-site Proof of Concept (PoC) and pilot projects, both short and long-term. - Integrate engineering development activities into deployment projects, working with technical leaders across the company to manage delivery risks. - Supervise visits to customer facilities to gather data and assess requirements. - Supervise the construction and use of test environments in our lab for deployment reliability and performance testing. Define lab test and site acceptance testing strategies. - Lead product demonstrations in the lab for customers, investors, and internal stakeholders. - Represent the company at expos and industry events, delivering live product demos. - Manage the testing of product releases and their delivery to customer sites. - Oversee resolution of on-site issues during deployment and operations. - Prioritise product data and customer feedback for engineering and product teams; implement improvements to deployment efficiency and site deployment processes. - Oversee maintenance and troubleshooting activities, with remote engineering support. - Report deployment status and risks to senior stakeholders across the company. - Work with Business Development, Engineering and Product Management on customer use case analysis, solution development, and deployment strategies.   WHAT WE'RE LOOKING FOR - Bachelor's degree in Engineering (Mechanical, Electrical, Robotics, Mechatronics, or a related field) or equivalent technical qualification. - Experience leading robotics or automation deployment projects at customer sites, including concept/pilot projects. - Experience managing a team of engineers in demanding environments. - Technical knowledge of robotics site installation and hardware/software configuration. - Track record of overseeing the resolution of technical issues on site under pressure. - Experience presenting and delivering live product demonstrations. - Experience working across engineering, product, and commercial teams to deliver customer projects. - Exceptional written and verbal communication skills. - Experience managing customer stakeholders on-site. PREFERRED QUALIFICATIONS - Prior experience in humanoid, AMR or manipulation-based robotics deployment. - Experience with software integration and sensor-based automation. - Hands-on skills in mechanical and electrical troubleshooting, assembly, and maintenance. - Experience with CAD modelling, 3D scanning, or digital twin technology. - Experience with site commissioning and acceptance. - Experience with automation business case development and presales activity. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in Massachusetts, the expected base salary range is $150K–$180K USD per year; your placement in that range depends on how your experience maps to our internal leveling.

Location: Remote, United Kingdom 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 an Assigned Support Engineer, you’ll be a trusted technical advisor to GitLab’s largest Self-managed, GitLab Dedicated, and GitLab.com customers, helping them avoid operational disruption and get the most from GitLab. You’ll combine deep Linux systems expertise, GitLab and CI/CD knowledge, and a proactive support mindset to understand each customer’s environment, anticipate and prevent issues, and solve complex technical and business challenges. In a typical week, you might be prioritizing strategic blockers with customer stakeholders, partnering with Product, Development, Infrastructure, Customer Success, and Sales to drive defect resolution and influence the roadmap, or diving into code, logs, and tools like strace to troubleshoot performance issues. Your impact in the first year will be measured by customer trust, reduced critical incidents, and clear, reusable support content that empowers customers and GitLab teams alike. What you’ll do Provide technical support to our largest Self-managed, GitLab Dedicated, and GitLab.com customers, ensuring their GitLab environments remain stable and performant. Troubleshoot and resolve complex, critical, and sensitive support issues using tools like Zendesk, logs, and Linux utilities such as strace, through email and video conferencing. Build strong, proactive relationships with key customer stakeholders, helping them prioritize and address their most important technical blockers. Collaborate with Product , Development , Infrastructure , Customer Success , and Sales teams to drive bug fixes, influence feature development, and help shape product goals and roadmap. Act as a technical expert on GitLab and CI/CD implementations, advising customers on how incidents and service interruptions impact their workflows and how to mitigate them. Create and improve support content, including documentation and knowledge articles, to help customers and GitLab team members resolve issues more efficiently. Partner closely with Support Engineering team members through pairing sessions and stable counterpart relationships to share knowledge and solve problems together. Contribute to team growth by participating in hiring processes, including reviewing applications and assessments and joining interviews. What you’ll bring Background managing complex, customer facing support cases end to end, from initial inquiry and triage through reproduction, escalation, and resolution. Advanced troubleshooting skills with the ability to investigate ambiguous, multi-layered technical issues and identify root causes across applications, infrastructure, and integrations. Strong Linux systems administration knowledge (LFCE or RHCE equivalent), including performance analysis and low-level debugging tools. Practical experience with GitLab and continuous integration / continuous delivery (CI/CD), including how different deployment models and outages affect customers. Ability to write and maintain clear, reusable support content such as knowledge articles, runbooks, and troubleshooting guides. Proficiency with scripting languages (such as Ruby or Bash) and familiarity with model-view-controller (MVC) frameworks, preferably Ruby on Rails. Effective communication skills for explaining complex technical topics to audiences with varying technical backgrounds and for building rapport with customer stakeholders. Familiarity with DevOps practices and technologies such as Kubernetes and serverless platforms, with openness to applying transferable skills from related domains. About the team The Support team is a fully distributed, global group across the AMER, EMEA, and APAC regions, focused on helping customers get the most from GitLab by troubleshooting complex issues and digging into code and logs to understand why something is not working as expected. As an Assigned Support Engineer, you’ll be part of our broader Support Engineering organization, working closely with other Support Engineers through regular pairing sessions, 1:1s, coffee chats, and Slack conversations to stay connected while collaborating asynchronously across time zones. We balance autonomy with accountability, giving you flexibility to structure your shift in a way that fits your life while ensuring we can reliably address customer issues. Thanks to GitLab’s Transparency value, you can see what we are working on in our Support Team page. Additionally, you can see our company roadmap and meetings to see what we are working on at any time. 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 .