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SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. SUPPLY CHAIN PLANNING MANAGER (RAPTOR) This is an exciting, high-profile, cross functional position that plays an integral role in enabling production flow and building a best-in-class supply chain to support scaling Raptor engine production for the Starship vehicle manifest and making human life multiplanetary. Raptor supply chain planners make this possible by working in close coordination with engineering leadership, production, and procurement to execute effective, creative, and smart supply chain strategies to achieve production goals while balancing cost, rate, and reliability effectively. We are looking for fast-paced, high-horsepower project managers who can clearly communicate risks and implement mitigation strategies, optimize processes, and manage risk trades in a highly dynamic NPI environment for high-volume products. RESPONSIBILITIES: Own the end-to-end planning lifecycle for Raptor sub-assemblies or finished goods, from accurate bill of material requirements, appropriate supply coverage, and timely configuration management to satisfy the engine production plan. Work very closely with engineering, production, and procurement counterparts to understand internal rate goals, design change landscape, and supplier production plans to set up a robust supply chain plan capable of scaling with multiple configurations and production rates. Utilize good risk management intuition to balance cost, reliability, and production rate based on knowledge of program goals and context in a highly dynamic environment – and make effective risk calls knowing when to prioritize one over the other. Manage the supply schedule for raw material and finished goods in order to optimize days on hand and inventory turns, minimize obsolescence, and enable the production line to output at full rate while being mindful about excess inventory Communicate forecasts to internal and external stakeholders that accurately reflect minimum requirements while hedging against potential upside or change in business direction Identify and mitigate potential risks in the multi-tier global supply chain by coordinating with the appropriate stakeholders (procurement, logistics, engineering, etc.) to propose creative solutions and drive to closure Balance a spectrum of both new product introduction (NPI) with rapid iteration and design changes as well as stable production with good risk intuition to balance challenges in both Partner with engineering and production teams to effectively plan for and incorporate design or process changes seamlessly into the production line without impacting ability for production to maintain build rate Support insourcing efforts where applicable to guarantee constant supply from internal and external sources to enable overall production targets Assess and monitor supply base capacity and constraints at primary and sub-tiers suppliers to inform program scenario planning and mitigate potential challenges when ramping a product line Maintain part and planning master data as needed to accurately reflect lead-times, manufacturing allocations, yields and attrition, offsets, order policy, and other parameters Guide and mentor peers and team members to strengthen organizational resiliency and bolster the talent pipeline. Define and incorporate organization-level processes and improvements that enable the business to scale and efficiently utilize its human capital, leveraging learnings from world-class manufacturers and other high-volume industries Develop applications, reporting, and dashboards to measure team KPIs and support the program as it scales to meet Starship vehicle manifest. Utilize good risk management intuition to balance cost, reliability, and production rate based on knowledge of program goals and context in a highly dynamic environment – and make effective risk calls to prioritize one over the other. BASIC QUALIFICATIONS: Advanced degree and 3+ years of experience working in one or more of the following; or bachelor's degree and 5+ years of experience working in one or more of the following; or 9+ years of experience working in one or more of the following: Engineering Purchasing Material or production planning Operations or supply chain management Master production scheduling PREFERRED SKILLS AND EXPERIENCE: Experience in a high-volume industry, such as automotive or consumer electronics Proven success working on cross-functional new product introduction projects, managing multiple products and schedules Technical knowledge in mechanical commodities (CNC machining, plastic injection molding, die-casting, stampings) or metallic raw materials Familiarity with ERP systems and purchasing/planning functions Intermediate skills in SQL, Tableau, PowerBI, and other data analytics Advanced skills in MS Excel & Project, able to create pivot tables or macros, and analyze data Experience navigating multitier Bill of Materials and work orders Exceptional written, verbal and presentation communication skills with experience presenting to senior leadership Detail-oriented, self-motivated and able to respond quickly to a fast-moving and ever-changing environment Conducts all activities with the highest of integrity ADDITIONAL REQUIREMENTS: Must be able to travel - up to 5% work week travel may be required, including international travel Must be able to work extended hours and/or weekends as needed to meet major milestones This position is based in Hawthorne, CA and requires being onsite - remote work not considered COMPENSATION AND BENEFITS: Pay Range: Level 3: $120,000.00 - $170,000.00 Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here . SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of SpaceX's Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com .

Here at The Exploration Company, we are building innovative aerospace technologies that advance the future of space transportation. We are developing, producing, and operating Nyx, a modular and reusable space orbital vehicle that can eventually be refueled in orbit, and which carries cargo - and potentially humans in the longer run. We want you as a talented AIT Test Engineer to help us in our mission by making sure that NYX can be integrated. You will be successful in this role if you are able to help us: Prepare, execute and manage the internal or external dynamic testing (vibration test, shock tests,...) of several sub-systems (electronic, fittings, weldings...) and internally developed prototypes Prepare, execute and manage the internal or external thermal testing (cycling, TVAC...) of several sub-systems and internally developed prototypes Write documentation prior and post integration and test activities Prepare, execute and manage other testing activities in AIT domain (e.g.: parachute, EMC, mechanisms, Structural Test Model...) Support mechanical integration activities needed on Nyx Capsule Key Responsibilities You will manage the testing activities from definition of requirements to post-test reviews You will be responsible of writing, reviewing and executing procedures detailing the setups for integration and tests (in Epsilon3, ODOO, Team Center) You will be responsible for the execution of the tests performed in-house with internal equipment (vibration test bench, thermal vacuum chamber, shock test rig, ...) You will be responsible for the execution of the tests performed in external facilities You will be responsible of the procurement (or rental) of instrumentation and its installation on the items to test You will be expected to interact with other AIT engineers and technicians but also with external stakeholders You will be largely involved in the resolutions of anomalies happening during the integration and tests You will manage the reports to be done at the end of the operations/tests You will give your feedback and report on any blockage or problem during the testing and will work to propose improvements and fixes You will be asked to support the qualification plans of new processes within AIT (welding, fittings...) You will be supporting the Purchase of all the equipment (COTS or not) needed to run the testing activities (Tools, generic GSE) You will be working with AIT technicians and MGSE team to define needs of machined parts and/or tools (proposing design, follow up with MGSE team) Additional Requirements Versatile, in order to support several activities depending on the workload Being able to manage several topics at the same time (preparation of next tests and execution in parallel) Proficient in following safety standards and maintaining quality control during all assembly and test operations. Qualifications and experience Engineering degree (Master or PhD) in mechanical science, instrumentation/test or equivalent Experience in the AIT of aerospace vehicles Prior experience with Vibration Tables, Thermal Chambers or similar equipment is a plus Mechanical skills with electrical/digital and electromechanical knowledge would be appreciated Skills and Behaviors Leadership skills Strong organizing and prioritization of tasks Positive and flexible attitude to get the job done Ability to communicate at all levels of the business in English Organized and rigorous Hands-on approach Inventive and problem solver, team spirit Able to document all tasks in written form Demonstrates behaviors consistent with The Exploration Company's core values of Vision, Mission, Teamwork, Integrity and Excellence Why you should join us! What makes us special here at The Exploration Company and why we think you will enjoy working here is: We're Agile - we make decisions fast whilst keeping our goals and systems in mind We're Open and Collaborative - we are transparent about risks and obstacles, so that we can cooperate to overcome them We have a lot of Fun - we refuel our energy knowing we are democratising space. It's a wonderful and rare opportunity, are YOU up for the challenge? We'd love to hear from you if you wish to be a part of our journey. Please submit your CV now for immediate consideration and we will be in touch shortly. The Exploration Company is an equal opportunity employer and values diversity. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. Relocation assistance is provided for those willing to relocate including visa sponsorship where applicable. All offers are contingent upon the successful completion of a background check, which will be subject to the country, role, and project you applied for. By submitting your application, you acknowledge and agree that any offer of employment may be conditional upon successful condition of this check. The Exploration Company partners with Zinc Work Limited located in the UK (Zinc), a third-party provider, to ensure this process as efficient and transparent as possible. If applicable, you will receive an email from Zinc upon acceptance of your offer with a link to a secure portal where you can provide the required information to Zinc. Find Jobs in Germany on Arbeitnow

About Unity Advisory Unity Advisory is a pure-play, experience-led CFO advisory firm providing integrated finance, commercial, tax and deals support. We are free from audit conflicts and AI-enabled by design, combining deep technical expertise with automation, analytics and AI built into the delivery of every engagement. We are building an alternative to traditional advisory firms, focused on clarity over complexity, outcomes over hours, and practical advice delivered at pace for CFOs making high-consequence decisions. The Role We are looking for an experienced Data Architect to own data design across our advisory engagements. This is a platform and design-authority role with a hands-on edge, combining finance-focused business understanding with modern data architecture, platforms and governance. You will define how data - across a client's business - is structured, governed, and served so that AI, analytics, and management reporting are reliable and scalable. As a Senior Manager, you will lead architecture decisions, guide engineers, shape client data strategy, architecture, governance, and be accountable for the coherence and quality of the data estate you design. This is a client-facing role within our AI Advisory team, setting the data architecture that our engagements — and our clients' AI ambitions — are built on. Key Responsibilities Define target-state data architectures for clients — models, storage, pipelines, and access patterns — balancing rigour with delivery realism. Establish data modelling standards and curated domain layers across the a variety of systems (e.g. ERP, CRM, Manufacturing) and data sources, with end-to-end lineage and provenance sufficient for audit and controls. Map and integrate finance source systems (ERP, EPM, sub-ledgers, and consolidation tools) into governed, analytics-ready models. Design the finance data foundations for applied AI/ML: governed retrieval sources for RAG, feature stores, and the architecture that keeps AI systems fed with trustworthy, reconciled finance data. Set patterns for secure, compliant finance data platforms — access control, data sensitivity, segregation of duties, isolation, and alignment to standards such as ISO 27001. Provide architectural direction for cloud data platforms, infrastructure as code, CI/CD, and observability, ensuring designs are cost-aware and operable. Define the data lineage and controls that support responsible production AI — monitoring, confidence scoring, and human-in-the-loop review. Translate ambiguous business and client problems into clear architectural decisions and scoped roadmaps under delivery pressure. Own key technical trade-offs and communicate them clearly to engineers, product stakeholders, and senior client sponsors. Mentor data engineers, raise the technical bar across the team, and contribute reusable patterns, reference architectures, and accelerators. What We're Looking For Essential Significant experience designing and delivering data architectures for production systems, with evidence that your designs have shipped and run - not remained on paper. Deep expertise in data modelling, warehouse/lakehouse design, and data governance. Hands-on background in SQL and Python, and fluency with at least one major cloud provider (AWS or Azure) and modern data platforms (e.g. Snowflake, Databricks). System-level judgement on how data architecture shapes AI outcomes: designing governed sources for RAG, structuring data for retrieval and orchestration, and deciding where structured outputs and tool use fit. Ability to set standards and lead engineers while remaining close to implementation. Strong stakeholder skills, including engaging senior client sponsors and explaining architectural trade-offs clearly. Strong Preference Experience architecting the data layer behind AI or analytics products in production. Informed views on the trade-offs between fine-tuning, RAG, and long-context approaches, and how each changes data architecture requirements, including context window economics and prompt caching. Familiarity with infrastructure as code, CI/CD, and observability for data platforms. Awareness of MCP and tool-orchestration concepts and their implications for composable, data-driven AI systems. Fluent use of AI-assisted development tools (e.g. Claude Code, Cursor), with a clear view of where they help and where human design judgement must lead. Security and compliance experience (e.g. ISO 27001 alignment, access control design). Consulting or advisory background, owning problems end-to-end rather than a single workstream. Nice to Have Evidence of self-directed building — side projects, internal tools, or startups. Exposure to finance data, PE/M&A, or portfolio-company environments. Relevant certifications (e.g. AWS/Azure architect-level credentials). Additional Information At Unity Advisory, we are committed to providing an inclusive and accessible recruitment process. In line with the Equality Act 2010, we will accommodate any suitable candidate requiring assistance to attend or conduct an interview. If you need any adjustments or support, please let us know when scheduling your interview or in your application cover letter. We are dedicated to ensuring everyone has an equal opportunity to succeed and are here to support you throughout the process. PLEASE NOTE: We do not accept unsolicited CVs from third-party agencies. Find Jobs in United Kingdom on Arbeitnow

Our goal is to have a solar system on every roof, a storage unit in every house, and an electric car in every garage. Enpal makes this possible with an integrated total solution for decentralized energy—from solar systems and battery storage to wall boxes, smart meters, and heat pumps. At the heart of it all is our AI-powered platform Enpal.One +, which intelligently connects thousands of systems and efficiently optimizes electricity procurement and feed-in on the energy market. Enpal Energy is Enpal's electricity division, making clean energy accessible to every household—from Germany's most affordable electricity rates to smart energy solutions that optimally integrate generation, storage, and consumption. With ambitious growth targets and a rapidly expanding customer base, we are building a team that is actively shaping the German energy market. In doing so, we combine startup agility with the scale of a market leader—across all areas, from operations and technology to finance, customer support, and product development. What you'll do Model clean, well-documented datasets in dbt (staging → marts), including tests, ownership, and clear metric definitions. Lead the development and evolution of our semantic layer - defining governed business metrics, dimensions, and data contracts that serve as the single source of truth to downstream AI tools. Structure dbt models, metric definitions, and documentation so they are machine-readable and ready to serve as reliable context for AI-powered analytics tools. Diagnose messy or ambiguous source data, reconcile inconsistencies, and align stakeholders on a single source of truth. Optimize Snowflake query performance, data freshness, and quality through testing and monitoring. Partner with BI and business teams to design certified datasets, dashboards, and self-service standards. Develop reporting end-to-end — from understanding business needs to delivering actionable, intuitive data products. Maintain and evolve central data pipelines, dbt models, and Tableau integrations within a modern stack (Python, AWS/Azure/GCP, Git). Act as a technical mentor for the team, helping others adopt best practices in analytics engineering and embrace new tooling - including AI-assisted development. What you'll bring 5+ years of experience as an Analytics Engineer, BI Developer, or Data Engineer. Proven record of turning complex, large-scale data into actionable insights and governed metrics used across BI. Expert in SQL and data modeling (star schemas, dimensions/facts, semantic layer design). Hands-on experience building production-grade dbt projects with testing, documentation, and version control workflows. Strong proficiency in Python for analytics tasks (data checks, automation, utilities). Strong stakeholder management and communication skills — able to translate business logic into durable, scalable data models. Familiarity with ELT concepts, CI/CD for analytics code, data cataloging, and basic cost/performance tuning. Self-starter with a hands-on, problem-solving mindset, comfortable balancing autonomy and collaboration in a fast-moving environment. Genuine curiosity about how AI is reshaping the analytics engineering role - comfortable experimenting with AI-assisted development tools and motivated to help the team adopt them thoughtfully. Experience with or strong interest in semantic layer tooling (dbt MetricFlow, Snowflake semantic views, or similar) and how it enables both self-service analytics and AI-ready data products. Are you interested even if you don't meet all the requirements? Apply anyway! We look forward to discovering your potential—regardless of whether your experience meets every single requirement. ☀️ What we offer Work at Germany's first green unicorn - Play an active role in shaping the solar energy transition. The sun shines all over the world - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities. The ideal setup for your focus - We are convinced that excellent results are achieved when the conditions are right. That's why we rely on a hybrid working concept that gives you the freedom to always work in the way that best suits your tasks. Do you need new inspiration on an international level? With Workflex, we offer you the opportunity to relocate abroad for up to 30 days a year, depending on your responsibilities. Grown-up business & startup spirit - In our modern office in Berlin-Friedrichshain, you'll find everything your heart desires, from height-adjustable desks and table tennis to stocked beverage fridges and barista coffee. Your kick-start at Enpal - Onboarding day with a welcome bag, buddy program, and a team that really supports you. Stay up to date & help shape the future - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress. The energy transition can only be achieved together - At Enpal, you can expect legendary team spirit and unforgettable team events. Your extra boost - 29 + 2 vacation days, discounted membership at Wellhub, and corporate benefits. Everything you need to help you achieve a good work-life balance. At Enpal, we are proud of the diversity of our team. No decisions are made on the basis of skin colour, religion or religious belief, ethnic or national origin, nationality, gender identity, sexual orientation, disability or age, either during recruitment or employment. Enpal stands for a safe workplace and takes action against discrimination and harassment of any kind. Find more English Speaking Jobs in Germany on Arbeitnow

About Volta Volta is the category-defining, fully vertically integrated AI infrastructure platform – from capital to clusters to software, under a founder-led enterprise. Our mission is The Utility of Compute™: AI infrastructure as dependable and available as electricity, for every organization that needs it. Launched with a $10B strategic partnership with one of the leading frontier AI labs, a Series A led by Andreessen Horowitz, and a $5B AI Infrastructure Fund, Volta is building the infrastructure layer of the AI era from the ground up. We are 100+ people across London, Palo Alto, and New York, with rapid growth expectations to hundreds. About The Role Volta builds and operates large scale GPU compute infrastructure for AI workloads. Our platform is Kubernetes-native, spans multiple regions, and delivers virtual machines, storage, and networking through a fully automated infrastructure stack. Platform Engineering is organized as capability teams, each owning a defined part of the stack: compute, storage, the control plane and API layer, confidential computing, networking, and the customer-facing surface. You will lead one of them. This is a hands-on leadership role. You set technical direction for your team's area, carry accountability for what it delivers, and manage the people doing the work. You are expected to stay close enough to the code to take on the hard problems yourself. What You Will Be Doing Lead a platform engineering team: technical direction, design reviews, code review, and day-to-day delivery. Set the technical direction for your team's area of the stack, and design and build the platform layers it owns as product requirements take shape. Represent platform engineering in roadmap planning: translate product requirements into scoped, sequenced technical work, communicate trade-offs, and keep delivery on track. Work closely with the bring-up teams to surface operational pain points and turn them into scalable platform features. Collaborate with the security engineering team to integrate security guidance at the platform layer and ensure findings are remediated effectively. Coordinate with the other platform engineering leads on shared architecture, joint initiatives, and cross-team and cross-timezone delivery. Own reliability, observability, security, and interface and versioning standards for the services your team ships. Stay hands-on: take on complex or high-risk engineering work directly alongside the team. Run post-mortems and close structural gaps after incidents, not just the immediate issue. Manage the team: 1:1s, performance conversations, hiring interviews, and onboarding. What You Bring 5+ years in cloud platform or infrastructure engineering, with at least 2 years leading an engineering team. Strong backend or systems programming background in a production environment. Our working languages are Python, Go, and Rust; we welcome strong engineers from other compiled or object-oriented languages (for example C++, C#, or Java) who are ready to work across our stack as it evolves. Kubernetes at depth: cluster operations, CNI networking, scheduling, and workload management in production. GPU infrastructure experience: provisioning, resource allocation, and surfacing capacity through a platform or API layer. Solid networking fundamentals: L2/L3, VLANs, overlay networks, and multi-tenant isolation in cloud environments. Service architecture skills: designing, operating, and versioning production-grade control-plane services and APIs across IaaS and above, holding the team to clean, industry-standard interface and breaking-change practices. Security awareness: trust boundaries, least privilege, and secure defaults when building platform services. Proven people management: running 1:1s, delivering performance feedback, and taking accountability for a team's delivery and wellbeing. Clear communicator who can translate technical complexity for product and leadership stakeholders. Nice to Have (But Not Essential) None of these are required. Several map to specific teams, so strength in one or more helps us match you to the right one: Fluency with AI-assisted development, and interest in scaling agent-assisted workflows across the team (agentic CLI tools, MCP, skills, APIs) to amplify delivery. Familiarity with confidential computing technologies: TEEs, AMD SEV, Intel TDX, or Confidential Containers (CoCo). Experience building SaaS or PaaS layers on top of an IaaS platform. Familiarity with RDMA, InfiniBand, or RoCE networking in GPU or HPC clusters. Experience working distributed across time zones with counterparts in other regions. Exposure to serverless or inference serving infrastructure. REQ-14 What We Offer At Volta, we believe people do their best work when they feel supported, trusted and able to grow. We're building a company where you can make an impact, keep a healthy balance between work and life, and build a career you're proud of. As a global team, we do our best to provide great benefits wherever you're based. While some benefits vary by country due to local regulations, we believe looking after our people is simply the right thing to do. Competitive salary based on the work you do here, not your previous salary Equity in Volta, giving you the opportunity to share in the company's long-term success Retirement/pension contributions Comprehensive health, wellbeing and insurance benefits Generous number of vacation days each year Additional Information Background Checks All offers of employment at Volta are conditional on the satisfactory completion of pre-employment screening, which includes confirmation of your right to work, verification of your employment history and a criminal record check, where this is permitted by local law. Screening is carried out by Zinc, an accredited third-party provider, after an offer is made and all information is handled confidentially and in accordance with applicable data protection law. Equal Opportunity Volta is an equal opportunity employer. We are committed to building a diverse and inclusive team and make employment decisions based on skills, qualifications, experience and business needs. We do not discriminate on the basis of race, colour, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status or any other legally protected characteristic. Accessibility Volta is committed to providing an accessible recruitment experience for all candidates. If you require accommodations or adjustments at any stage of the application or interview process, please contact us at Candidate Privacy Notice By applying, you consent to the processing of your personal data for recruitment purposes in accordance with applicable data protection laws, including the UK GDPR, EU GDPR and relevant US state privacy regulations. Your data will be shared only with those involved in the hiring process and will not be used for unrelated purposes. For details, see our Recruitment & Candidate Privacy Notice. Note to Recruitment Agencies Volta does not accept unsolicited CVs or candidate profiles from recruitment agencies. Any unsolicited submissions, including those sent directly to hiring managers or employees, will be treated as the property of Volta. No agency fees will be payable unless a valid, signed recruitment agreement is in place, and the agency has been specifically engaged for the relevant vacancy. Compensation: £140K – £195K • Offers Equity • Offers Bonus United Kingdom • £140K – £195K • Offers Equity • Offers Bonus Find Jobs in United Kingdom on Arbeitnow

Electrical Engineer (Automation & Leadership Development)Build a career that matters with one of the world's most respected employers! - - - - - - - - - - - - Electrical Engineer (Automation & Leadership Development)Waterville, Nova Scotia For 130 years, Michelin has innovated to improve the mobility of people and goods. Today, we are setting the benchmark across every tire and travel-related services market, while leading a global strategy to drive sustainable, profitable growth.Michelin North America (Canada) Inc., which operates three tire manufacturing facilities in Nova Scotia, is seeking an technical and leadership oriented Electrical Engineer to join its engineering team in Waterville, Nova Scotia.The Electrical Engineer will support the manufacturing process and equipment by designing, specifying, purchasing and constructing electrical automation systems and components. This position will include aspects of project management, technical specification, design, analysis, installation management, equipment start-up and manufacturing. Under the mentorship of experienced, multi-disciplinary team of professionals, the successful candidate will develop into a technical subject matter expert with responsibility for project leadership. What you will do:provide detailed electrical design and automation programming for assigned projects and plant technical assistance;provide estimates and technical schedules for all phases of process equipment addition, replacement or upgrade;provide backup support and training to plant maintenance teams on newly implemented automation systems;collaborate with internal company support groups to accomplish objectives, and provide contract engineering management and direction when needed; and,participate in assigned major capital projects and/or modifications from start to finish, including equipment reception, commissioning, and acceptance. What you will bring:Bachelor's degree in Electrical Engineering, Mechatronics, or related field;minimum of 1-2 years of engineering experience;strong aptitude towards hands-on skill development;desire to work towards technical expertise in process equipment;demonstrated leadership, coaching and facilitation through academic, and/or extra-curricular activities. The following assets are preferred, but not required:experience with electrical design standards and familiarity with controls systems designs using standard CAD design tools;experience in project management and team leadership;exposure to PLC programming standards and programming software, including GRAFCET, Ladder Logic, and Structured Text (Rockwell and Siemens);exposure to Variable Frequency drives and Motion Control technologies (Rockwell, Siemens and Control Techniques);exposure to HMI configuration, programming and communication (Rockwell);experience with control systems network interfaces and various protocols for communications between devices including computer system databases;exposure to vision system configuration (specific experience with Cognex, Keyence, Adept, Bytewise, Gocator is an asset); and,robotic exposure, configuration or knowledge (Fanuc, ABB). How to apply:Please merge your cover letter and resume into one Word or PDF document. Candidates must clearly indicate how they meet the requirements listed above. Deadline for applications is September 27, 2026.Candidates selected to participate in the first round of interviews will be contacted via e-mail. All other candidates will be notified when the hiring process is complete.Why Michelin? Career Growth: Personalized development plans, mentorship, and cross-functional opportunities. Unique career paths and opportunities for advancement. Inclusive Culture: Thrive in a diverse, supportive environment where your competencies, contributions and behaviors are recognized. Option to join one of our Business Resource Groups and Inclusion Councils. Innovation-Driven: Work on projects that matter?from sustainable materials to dig

About Waniwani Waniwani builds the infrastructure that distributes insurance and banking products through AI assistants. We raised an $8M seed led by Seedcamp and work with large European banks and insurers. Each enterprise deal has to be scoped, architected, and deployed into a regulated environment. This role owns the layer between a signed deal and a live deployment. The role Customer workshops, discovery, and requirements (35%). Run technical discovery and workshops with each client, and translate their needs into clear, buildable product requirements for our sales, ops, and engineering teams. Flag what we need to build to support a given setup, such as client self-hosting. Solution architecture and documentation (35%). Design the end-to-end MCP flow and integration architecture for each client, including hosted versus on-premise scenarios, and produce the technical documentation enterprise clients require (BPI France alone is roughly 50 docs). Procurement, security, and delivery oversight (30%). Use our existing compliance library (SOC 2 program, DPAs, prior questionnaire answers) to complete security questionnaires, handle security committees and data-residency questions, and drive procurement to completion. Oversee the MCP deployment itself, which our freelancer network implements. Across all three, you build the reusable kit that makes this repeatable: scoping templates, architecture patterns, and a procurement answer library. Objectives 90 days: own scoping and procurement response for active deals, with the reusable kit used on at least one live deal end to end. 6 months: run the full signed-to-live pipeline, including architecture decisions and procurement ownership, without founders in the critical path. 12 months: a repeatable delivery process with patterns reused across clients, and a case for the first hire under this role. Requirements You are technically credible: you read code, reason fluently about integrations and the MCP and agent stack, and can scope and oversee a deployment. This is not a hands-on production-coding role; implementation is handled by our freelancer network. You are comfortable leading technical conversations with enterprise clients. You can drive a security questionnaire or procurement process to completion from existing documentation. You have worked in or near regulated industries (finance, insurance) and understand compliance and data residency requirements. You work well in ambiguity across sales, ops, and engineering, and ramp into new domains quickly. You have an interest in the MCP and agent stack. You are open to traveling from time to time across Europe and the US to meet clients. What this role is not A backend engineering role. You will work with clients most of the week. A pure pre-sales role. You own architecture, requirements, and delivery oversight, not only the pitch. A slideware role. You need real technical depth, even though you are not writing production code day to day. Practicalities Remote-first, based in Europe. Expect travel roughly once a month, primarily Paris, London, and Madrid, with US travel around the 6-month mark. Being able to come to Paris occasionally is a plus but not required. First hire in this function, working directly with the founders and the engineering team. Process Intro call with our talent partner. 30-minute conversation with Max, our CTO. Work sample based on a real client scenario (live session): scope the flow, draft the architecture, and handle a mock procurement Q&A. Discussions with Robin, our CEO, Luiza, and members of the tech team. Reference checks. Find Jobs in Switzerland on Arbeitnow

About Waniwani Waniwani builds the infrastructure that distributes insurance and banking products through AI assistants. We raised an $8M seed led by Seedcamp and work with large European banks and insurers. Each enterprise deal has to be scoped, architected, and deployed into a regulated environment. This role owns the layer between a signed deal and a live deployment. The role Customer workshops, discovery, and requirements (35%). Run technical discovery and workshops with each client, and translate their needs into clear, buildable product requirements for our sales, ops, and engineering teams. Flag what we need to build to support a given setup, such as client self-hosting. Solution architecture and documentation (35%). Design the end-to-end MCP flow and integration architecture for each client, including hosted versus on-premise scenarios, and produce the technical documentation enterprise clients require (BPI France alone is roughly 50 docs). Procurement, security, and delivery oversight (30%). Use our existing compliance library (SOC 2 program, DPAs, prior questionnaire answers) to complete security questionnaires, handle security committees and data-residency questions, and drive procurement to completion. Oversee the MCP deployment itself, which our freelancer network implements. Across all three, you build the reusable kit that makes this repeatable: scoping templates, architecture patterns, and a procurement answer library. Objectives 90 days: own scoping and procurement response for active deals, with the reusable kit used on at least one live deal end to end. 6 months: run the full signed-to-live pipeline, including architecture decisions and procurement ownership, without founders in the critical path. 12 months: a repeatable delivery process with patterns reused across clients, and a case for the first hire under this role. Requirements You are technically credible: you read code, reason fluently about integrations and the MCP and agent stack, and can scope and oversee a deployment. This is not a hands-on production-coding role; implementation is handled by our freelancer network. You are comfortable leading technical conversations with enterprise clients. You can drive a security questionnaire or procurement process to completion from existing documentation. You have worked in or near regulated industries (finance, insurance) and understand compliance and data residency requirements. You work well in ambiguity across sales, ops, and engineering, and ramp into new domains quickly. You have an interest in the MCP and agent stack. You are open to traveling from time to time across Europe and the US to meet clients. What this role is not A backend engineering role. You will work with clients most of the week. A pure pre-sales role. You own architecture, requirements, and delivery oversight, not only the pitch. A slideware role. You need real technical depth, even though you are not writing production code day to day. Practicalities Remote-first, based in Europe. Expect travel roughly once a month, primarily Paris, London, and Madrid, with US travel around the 6-month mark. Being able to come to Paris occasionally is a plus but not required. First hire in this function, working directly with the founders and the engineering team. Process Intro call with our talent partner. 30-minute conversation with Max, our CTO. Work sample based on a real client scenario (live session): scope the flow, draft the architecture, and handle a mock procurement Q&A. Discussions with Robin, our CEO, Luiza, and members of the tech team. Reference checks. Find more English Speaking Jobs in Germany on Arbeitnow

Welcome to Planet. We believe in using space to help life on Earth. Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one. Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world's toughest obstacles. As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains. We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world. Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands. About the Role: A Senior Infrastructure Solutions Engineer makes Planet's infrastructure easier to use. Infra Solutions is a small, multi-disciplinary team: engineers who are as comfortable operating a system as building one, and as comfortable in a hard conversation as in a code review. We sit between the teams who build Planet's platform capabilities and the teams who need them, and our market is every engineering team at Planet, which we earn one engagement at a time. Teams work with us because we make their week lighter, not because anyone told them to, and every team that lands on the platform is infrastructure Planet no longer has to duplicate, secure and pay for. Most of what you do takes the shape of a hands-on engagement with a team that is blocked, mid-migration, or arriving on the platform for the first time. They usually arrive with a proposed solution rather than the problem behind it, and working out the difference is where the engagement starts. From there you own it end to end: the diagnosis, the hands-on fix, the argument for what should change upstream, and the durable artifact that stops the next team hitting the same wall. This is a role driven by unreasonable hospitality (value out of proportion to what anyone asked us for) and backed by solid engineering and operator depth. You have run things in production, and you write the code other engineers depend on. The ideal candidate is energized by other teams' success: someone who would rather ship the thing that makes ten teams faster than own a system outright, and who does their best work in a room they don't own, with people who are not yet convinced they need help. This is a full-time, remote position based in Germany, the Netherlands or Slovenia. If located near a Planet office, you are expected to work from that office 3 days per week. Impact You'll Own: Lead end-to-end technical engagements: Partner directly with engineering teams to diagnose, unblock, and resolve complex infrastructure challenges. Execute critical migrations: Develop reference implementations, tooling, and guidance to transition teams off deprecated systems seamlessly. Accelerate platform adoption: Act as the primary technical contact for new teams onboarding to Planet's core infrastructure. Establish standardized paths: Consolidate disparate solutions into well-supported, paved-road infrastructure offerings. Build scalable, shared artifacts: Design re-usable libraries, Terraform modules, and Helm charts to solve recurring technical patterns across teams. Enhance platform observability: Implement instrumentation and attribution tooling to provide visibility into infrastructure cost, usage, and adoption. Inform platform strategy: Synthesize engineering feedback and common pain points to influence the broader infrastructure roadmap. What You Bring: 6+ years of professional experience in Platform Engineering, DevOps, or Site Reliability Engineering, including experience leading at least one cross-team project or migration. Bachelor's degree in a relevant field. Background in technical enablement, developer experience, or solutions architecture with a focus on internal developer productivity. Hands-on experience operating and maintaining production infrastructure environments. Deep expertise with Kubernetes orchestration, including workload optimization and operations. Working knowledge of Google Cloud Platform (GCP) or other public cloud providers, including its compute, storage, quota, and capacity mode. Experience with Infrastructure as Code (Terraform, Helm, ArgoCD) and CI/CD pipelines. Proficiency in software development using Go or Python. Ability to translate ambiguous requirements into structured, actionable engineering tasks. Excellent written and verbal communication skills for technical documentation and cross-functional collaboration. What Makes You Stand Out: Experience with large-scale block storage (Persistent Disk, Hyperdisk, Ceph, SAN, or equivalent) operated at fleet scale rather than per-service. Experience driving large-scale migrations or deprecations that required buy-in from teams outside your reporting line. Experience in a consulting-adjacent engineering role (solutions architecture, professional services, or technical account engineering) applied to an internal platform. Familiarity with workflow orchestration (e.g. Temporal), batch and job-execution systems, or large-scale data processing pipelines. Experience defining and measuring platform adoption: developer-productivity instrumentation, NPS, or internal marketshare. Application Deadline: 11:45p / 23:45 CET on the date stated below. Applications are reviewed on a rolling basis. This posting may be removed earlier than projected if a suitable pool of applications has been received. For this reason, we recommend applying as soon as you are able to. Benefits While Working at Planet: These offerings are dependent on employment type and geographical location, based upon applicable law or company policy. Paid time off including vacation, holidays and company-wide days off Employee Wellness Program Home Office Reimbursement Monthly Phone and Internet Reimbursement Tuition Reimbursement and access to LinkedIn Learning Equity Volunteering Paid Time Off Compensation: The expected starting gross salary range for this role is listed below. Individual placement within this range is determined objectively based on gender-neutral criteria such as your skills, qualifications, and professional experience. This position may also be eligible for discretionary bonuses and/or equity. #LI-REMOTE Germany Salary Range €77.000 — €96.300 EUR San Francisco Fair Chance Ordinance Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Why we care so much about Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride. EEO statement: Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights. Accommodations: Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to ----- or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you. Privacy Policy : By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants , and hereby consent to the collection, processing, use, and storage of my personal information as described therein. Privacy Policy (European Applicants): By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe , and hereby consent to the collection, processing, use, and storage of my personal information as described therein. AI in Our Interviewing Process : Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy. Candidate AI Policy : Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to prepare for interviews and assessments. However, during any live interview stage or when actively completing assessments for this position, the use of AI tools—e.g. Large Language Models (LLMs), deep fake technology, etc.—is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions . If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact ----- with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application. Find more English Speaking Jobs in Germany on Arbeitnow

About Radiant Radiant is redefining how AI infrastructure is built. We design and operate AI-native cloud platforms engineered for sovereignty, performance, and scale. Our infrastructure powers GPU-native workloads, multi-tenant control planes, and high-performance AI systems designed for the most demanding environments. We are not building a generic cloud. We are building purpose-built AI infrastructure - from powered land, to compute, to software . As we scale our platform and expand our engineering organisation, we are looking for leaders who can build strong teams, uphold high standards, and deliver reliably at pace. As part of the Infrastructure Solutions team, the Cluster Architect is the tip of the spear leading Radiant's new GPU deployments. The Cluster Architect contributes to the technical strategy, reference architecture, and governance standards underpinning Radiant's GPU compute platform. They translate the high-level designs provided by the Customer Success organization into fully operational supercomputers. In conjunction with the Datacenter Engineering team, they lead the definition of the low-level design of upcoming high-performance computing (HPC) and artificial intelligence (AI) infrastructure deployments. You must be a solution finder, able to adapt to evolving technology and customer requirements, and be ready to handle scale. The right person for this role will be technically focused and detail-oriented, and able to work with the broader team to successfully deliver some of the world's largest supercomputers at a rapid pace with precision. It is critical to document each step of the process to enable effective communication with internal and external stakeholders. About the Infrastructure Team The Infrastructure Engineering team spearheads the strategy, roadmap, and delivery of critical HPC/AI infrastructure to the broader Technology and Customer organizations. Its mission is to deploy scalable, secure, and efficient infrastructure solutions tailored to the organization's strategic needs. The team defines Radiant's supercomputers' reference architecture in line with the customer, software, and operational requirements of the company. They work closely with third-party suppliers to provide and maintain the list of technologies that form part of Radiant's portfolio of offerings. They provide technical support throughout the procurement process with vendors to ensure the suitability of RFI/RFP responses. They work in tandem with OEMs and infrastructure providers during the infrastructure rollout, and providing technical inputs to DC providers and OEMs They work closely with the program management office, and align the hardware infrastructure rollout programs with the parallel datacenter fitout and software engineering programs. They play an instrumental role in the successful deployments of cloud infrastructure, whilst ensuring optimal performance and reliability for high-demand computing environments. Once accepted, the infrastructure solutions are then handed over to the Infrastructure Operations team who manages the daily management of the infrastructure. What you'll do Engage with key stakeholders (such as the Program Management Office, Data Center Engineering, Solutions Engineering and Infrastructure Operations teams) and translate inputs into Radiant's reference architecture and low-level designs blueprints. Remain abreast of technology advancements and roadmaps with key vendors in the space. Lead the low-level design of high-density AI supercomputer systems (compute, interconnect, storage, management). Participate in the Architecture Review Board involving key stakeholders to ensure collaboration and company alignment behind the designs being produced. Evaluate tradeoffs between performance, power, cooling, serviceability, and cost throughout the procurement process. In tandem with potential suppliers, drive the creation of detailed low-level designs, including (but not limited to): Rack elevation diagrams and layouts Data center floor plans and spatial planning Power distribution and cooling architecture and related detailed specifications Detailed Bill of Materials (BoM) Port mapping documents. Drive thorough technical evaluations and response accuracy from vendors during the RFx processes, ensuring designs are aligned with vendor capabilities and long-lead item constraints. Play a hands-on and pro-active role in the manufacturing, burn-in, cabling, logical configuration, benchmarking, and logical implementation of new deployments to turn designs into production-grade systems. Drive acceptance criteria with quality, reliability, safety, and performance goals in mind. Work with the Software Engineering and Solutions Engineering teams to ensure the infrastructure supports AI workload requirements. Engage with project management to define milestones, risks, resourcing, and deliverables associated with the delivery. Produce accurate architecture diagrams, configuration documentation, runbooks, and operational guidance to facilitate the handover of the new deployments to the Infrastructure Operations team. Establish delivery best practices and continuously improve the designs, processes, and documentation through the participation of "lessons learned" workshops. Requirements BSc in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other related Engineering fields. 5+ years of solution architecture experience, demonstrating motivation and skills to drive technical design and delivery processes. Deep expertise in datacenter engineering (mechanical, electrical and plumbing), GPU systems, high performance networking (like InfiniBand), including a proven understanding of network topologies and storage architecture. Proficiency in system-level aspects, encompassing Operating Systems, Linux kernel drivers, GPUs, NICs, and infrastructure software solutions. Demonstrated experience producing detailed infrastructure designs (including network topologies, rack layouts, BoMs, power/cooling planning…) Deep understanding in datacenter fit-out, and power/cooling constraints Excellent interpersonal and communication skills, with a track record interfacing with various types of stakeholders (engineering/operations teams, vendors, etc.) and writing clear deliverables. Comfortable working in fast-moving, high-complexity technical environments. Nice to have Prior work experience in HPC, Telco, or hyperscale supercomputing environments designing, delivering, and/or operating large scale HPC systems. Work or research experience in networking fundamentals, TCP/IP stack, and data center designs. Familiarity with monitoring/telemetry systems and observability for infrastructure health. Demonstrated expertise in cloud orchestration software and job schedulers, including platforms like Kubernetes, Docker Swarm, and HPC-specific schedulers such as Slurm. Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, datacenter compute/network/storage deployments. Hands-on experience with NVIDIA systems/SDKs (e.g., CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), ARM CPU solutions, coupled with proficiency in C/C++ programming, parallel programming, and GPU development. Why should you join us? What sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive. Here are just some of the great things you can expect from us: 25 days of annual leave A culture that emphasises results over hierarchy, process & ego: we place great emphasis on the quality, ingenuity and creativity of work. Open communication, regular feedback: we value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and a growth mindset makes us better together. Learning Time: we all have dedicated learning time to focus on new skills, projects or interests that lay outside of your day-to-day job. Health & Wellbeing: we want everyone to feel healthy and happy, so we offer private medical insurance via Bupa. Cycle to Work Scheme: we're committed to building a sustainable business, so we encourage cycling to work. Gympass subscription to a variety of gyms and wellbeing apps Participation in the company shares program Enhanced parental pay & leave Diversity, Equality, Inclusion and Belonging We are an equal opportunity employer and we strive to reduce unconscious bias throughout our hiring process. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status. To ensure our recruitment processes provide an equal opportunity for all applicants to succeed, we encourage you to let us know if there are any adjustments that we can make. Find more English Speaking Jobs in United Kingdom on Arbeitnow

Our Mission At Omnea, we're reinventing how enterprise businesses operate, starting with the most painful parts: procurement – where a single purchase can drag on for months, trigger 50+ emails , and pull in Finance, Legal, Security, and IT just to get something approved. We've raised $75M from Khosla Ventures, Insight Partners, and Accel to change that. Our AI-native platform connects every person, step, and system so buying is fast, safe, and efficient – one place to request, automated approvals and renewals, real-time supplier risk, and complete spend visibility. The opportunity is massive. Every enterprise on the planet has this problem and nobody has solved it . We've 10x'd ARR to double-digit millions in 18 months and are trusted by global enterprises like Spotify, MongoDB, Monzo, and Albertsons. We're now the 4th fastest growing startup in Europe & the Sunday Times' #1 Best Medium Sized Tech Company To Work for. Our team previously scaled Tessian ( cybersecurity tech, backed by Sequoia, Balderton, Accel , acquired post-Series C), and our team includes ex-founders operators who've grown unicorns, shipped world-class products, and executed at the highest levels. You'll work alongside leaders like Ben , Abs , Sabrina , and Rebe . Find out more about the team and life at Omnea here . What we're looking for We're looking for an ambitious and talented Director of Engineering to join Omnea, the UK's #1 Startup in 2026 , as a senior member of our Engineering leadership team. You'll report directly to our CTO, Dhruv Kumar , who joined us from Voy and has scaled engineering organizations at Hopin, Charlotte Tilbury, and THG. This is a manager-of-managers role. You'll lead a group of Engineering Managers and Team Leads: 25-50 engineers across several teams. You'll own the outcomes, org design, and technical direction of a significant slice of the product. As we grow from tens to hundreds of enterprise customers and through 10x revenue growth in the next 2-3 years, you'll play a crucial role in building the best Engineering function in its category. You'll operate with high autonomy, partnering with the CTO, Product leadership, and your peers across R&D to turn strategy into shipped software. What you'll do Build and lead the leaders: Hire, coach, and develop Engineering Managers and Team Leads. Your primary output is their effectiveness, not your own. Set and hold a high performance bar across the group, including the harder calls on performance and leveling. Own org design for your area: how teams are shaped, sized, and split as the product and company grow. Build the bench: identify and grow the next generation of engineering leaders at Omnea. Own the headcount plan for your group, from business case through to hiring. Own delivery at group scale: Be accountable for the outcomes of several teams at once, not the output of any one of them. Create the operating rhythm (planning, prioritization, and reporting) that keeps a multi-team group moving quickly and predictably. Unblock at the seams: the cross-team dependencies, ambiguous ownership, and architectural decisions that no single team can resolve. Ensure robust monitoring, observability, and incident response across your area. Shape technical and product strategy: Partner with the CTO and Product leadership to define and execute the technical roadmap for your domain. Make the build/buy, architecture, and technical investment calls that shape the platform for years, and bring the rest of R&D with you. Balance technical debt, feature development, and reliability, and be able to defend those trade-offs to the exec team. Ensure customer feedback drives technical priorities, including direct time with enterprise customers. Teams and products you might end up working on: Accounting and Goods Receipting – ensuring procurement and finance teams have the right information and tools to operate accurately, automatically, and at scale. Insights and Reporting – deep, complex custom visualizations bringing together AI and data to surface meaningful insights and context across the platform. Sourcing – building the tools that find the right suppliers, shape the right deals, and make sure the best option is already in play before a request is even created. Workflow Orchestration – the configurable backbone of our systems that accurately model company operations, underpinning a single source of truth. And many more areas we're actively starting or expanding upon! About You Leadership Experience: You have 10+ years of software engineering experience, with 5+ years in engineering leadership. You have 2+ years managing managers, having hired, coached, and where necessary, performance-managed Engineering Managers or Team Leads. You've led a group of 25-50 engineers across multiple teams and owned the org design for it. You've demonstrated success in fast-moving, ambiguous environments, particularly in rapid-growth periods. Ideally, you've done this at more than one company, including at least one successful Series A+ B2B SaaS company. Technical Excellence: Strong technical background with hands-on experience in modern web technologies. Deep understanding of distributed systems, cloud architecture (preferably AWS), and scalability challenges. Experience with our stack (TypeScript, React, AWS Serverless) is a plus, but not required. Track Record of Impact: Strong track record of delivering complex, multi-team programs that moved company outcomes: product adoption, revenue, and customer retention. Proven history of improving team velocity and quality at the group level, not just within a single team. Experience scaling an engineering organization through a period of rapid growth and adapting the structure as it grew. Experience implementing engineering processes that scale effectively at pace. Experience working directly with enterprise customers and translating their needs into technical solutions. Leadership Style: You're data-driven but know when to trust intuition. You're comfortable making decisions with incomplete information, and owning them when they don't land. You excel at influence without authority, across Product, Design, GTM, and the exec team. You have a track record of growing and developing engineering leaders, as well as engineers at all levels (Senior, Staff, Principal). You stay close enough to the technology to be credible with senior engineers without taking the work off them. Nice to haves that really stand out to us: Track record of successful product launches in B2B SaaS. Experience with procurement/finance systems. History of contributions to engineering communities. You can learn more about Engineering at Omnea and our hiring process via our R&D Candidate Hub here . At Omnea, we embrace diversity. To build a product that's loved by everyone, we're best served by a team with all sorts of backgrounds, experiences, and perspectives. We encourage you to apply even if your experience doesn't quite match the full job spec! And regardless of your race, religion, colour, gender, or anything else! If you think you could be a good fit for Omnea, please reach out. A few things to note: We offer competitive geo-localised benefits, and you can check out our UK Benefits Package here and our US Benefits Package here . We work Tuesdays, Wednesdays & Thursdays in-person at our offices. At this early stage of our company life-cycle it's important to us that we get this together-time, and you can read more about why we believe this is a winning move here We're commercial, ambitious and we don't pretend otherwise! We're actively seeking folks looking to make the most of a career-defining opportunity, with the hunger to be part of building something really impressive . You can see our values here and our Omnea Future Founder's fund here ! We sometimes use AI note-takers to help us transcribe interview notes, so we can be more present in your interview. If you'd like to opt out of us using automatic transcribers, please note this in the free text field in your application, otherwise we'll take your application as confirmation that you're happy for us to use notetakers (whether added to video calls or in the background). We are proud to be recognised for both our culture and product, and we are just getting started. Join us as we grow! Legal note: if you are viewing this posting outside of the Omnea careers' page, this may be an auto-generated advertisement and may lack the full range of advertised information - please click through to the posting at https://jobs.ashbyhq.com/omnea to view additional advertised information on this posting. Additionally, where roles have hard-specified requirements (e.g. [x] days in office, unable to provide visas, etc), if in your application you provide deterministic check-box confirmation that you do not meet the hard-specified requirements, deterministic (not AI or subjective) automatic rejection criteria are in place. Find Jobs in United Kingdom on Arbeitnow

Your mission You will expand the capabilities of Lyceum's AI inference platform, the first EU-sovereign inference cloud. You'll own the features that customers interact with directly: model serving configurations, API surface, framework integrations, and developer experience. This means understanding what customers need, building it fast, and making sure it works reliably at scale. Your focus Feature development: Design and ship new platform capabilities - from supporting new model architectures and serving frameworks to building out API features that customers are asking for. Customer-facing engineering: Work closely with customers and the commercial team to understand real-world usage patterns, translate feature requests into technical designs, and iterate based on feedback. Developer experience: Improve the end-to-end experience of deploying and running inference on Lyceum, from initial setup through to monitoring and debugging in production. Your KPIs Number of platform features shipped Time from customer request to feature availability Breadth of supported models, frameworks, and deployment configurations Your profile We consider candidates from diverse backgrounds, with a deep love for technical challenges and the desire to take on ownership beyond what's reasonably expected. You're someone who stays close to the rapidly evolving open-source AI ecosystem and gets energy from turning emerging tools into production-grade platform capabilities. Requirements 3+ years of experience in software engineering, with a focus on backend or infrastructure systems Strong proficiency in Go and Python Hands-on experience with at least one ML inference serving framework (vLLM, TGI, etc) Solid understanding of how large language models and other AI models are deployed and served in production Experience working with REST/gRPC APIs and designing developer-facing interfaces Nice to have Familiarity with GPU scheduling, batching strategies, or inference optimisation (quantisation, speculative decoding, etc.) Experience with Kubernetes and container orchestration in a production setting Knowledge of AI model formats and conversion pipelines (GGUF, SafeTensors, ONNX) Background in developer tools, platform engineering, or API design Why us? Outstanding team: Work with some of the best engineers in the world, coming from hedge funds, big tech, AI startups and top universities Once in a lifetime opportunity: Early-stage company in the fastest-growing market in the world Ownership: Shape how European AI companies access GPU compute European mission: Build sovereign, GDPR-compliant AI infrastructure for the next generation of deep-tech Find more English Speaking Jobs in Switzerland on Arbeitnow