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Facility Operations & Planning ManagerPosition Status: Full-Time RegularDepartment: Procurement and Real Estate ServicesEmployee Group: ExemptLocation: 4515 Central Boulevard, BurnabySalary Range/ Wage Rate: Professional / Technical, Level P3A ($123,587.51 - $145,395.95 annually) (2024 wage rates) Our Procurement and Real Estate Services Department is seeking a Facility Operations & Planning Manager who will provide leadership and technical expertise in the planning, management, and operation of Metro Vancouver?s Head Office facility and other sites as required. This position oversees a comprehensive asset and space management program, ensuring that facilities are maintained in optimal operating condition while supporting organizational growth, service continuity, and sustainability objectives. Working closely with the Program Manager, Facilities, this position contributes to long-term strategic, financial and asset management planning, including capital forecasting, lifecycle management, and stewardship of operating and capital budgets. You are a facilities expert that is highly motivated to be the lead for planning and delivering complex facility, renovation, and space planning projects; administering service and consulting contracts; coordinating procurement processes; and developing building use strategies, space standards, and occupancy plans. You are a supportive leader that is committed to developing staff through fostering a respectful, inclusive, and collaborative work environment. The Facility Operations & Planning Manager reports to the Program Manager, Facilities. This role: Works closely with the Program Manager to establish overall priorities and contributes to the development of long-term strategic and financial plans for the Head Office Facility and other sites as required. Implements and oversees a comprehensive long-term asset management program, including planning, acquisition, lifecycle management, and disposition of assets. Supports the planning and scheduling of major and minor capital expenditures, including annual budgeting and long-term financial planning. Supervises, directs and develops staff monitoring performance in accordance with goals and objectives. Ensures adherence to corporate policies, practices, and collective agreements. Leads through coaching, mentoring, and guidance, emphasizing professional growth, well-being, and development of leadership, supervisory and technical skills. Builds and sustains a flexible and engaged workforce by encouraging learning and development opportunities. Participates in the development and implementation of building use strategies and plans and liaises with client departments to gather requirements; prepares forecasts for future space needs and develops preliminary space plans. Coordinates the development of schematic plans and conceptual design proposals and develops office design and space standards. Coordinates working relationships with staff and external contacts such as consultants, contractors, developers, and other agencies. Plans, coordinates, and implements renovations, office reconfigurations, furniture acquisitions, and moving projects, including project budgets. Develops and maintains a variety of records, reports databases, and budget tracking tools. Performs complex technical and project management work related to ensure Metro Vancouver?s Head Office facility, and other sites as required, are maintained in optimal operating condition. Participates in managing facility projects, and administering service contracts, including property management, food services, and a range of non-trader vendors. Develops long term building support policies and space occupancy plans, and develops work plans project schedules, and resource allocations for review and approval. Supports both long-term corporate and departmental initiatives, planning, and day-to-day operations and maintenance. Provides guidance to staff and contractors on technical iss

Job Description Job Description The Accounting Manager's job is basically to manage the financial and operational affairs of the Company so that it is able to operate at maximum efficiency at the lowest possible cost, subject to all regulatory and legal requirements. To be able to do this, the duties outlined below are key functions of the job. Financial area: Preparation of annual financial statements according to GAAP. Preparation of audit package for external auditors. Preparation and monitoring of annual budget and cash flow. Preparation of monthly / quarterly financial statements. Preparation of all monthly / annual government reporting. Review all general ledger reconciliations and agree to all sub-ledgers where applicable. Approve and monitor letters of credit. Review all expenses to ensure the proper approval process has been followed. Review credit levels and accounts receivable to ensure risk is within tolerances set by Management. Review all accounting procedures on a regular basis to ensure that GAAP have been adhered to and any auditor's recommendations have been implemented. Ensure that our banking requirements are met by our bank and manage the relationship between the Company and the Bank. Payroll and HR: Review the preparation of bi-weekly payroll and the maintenance of payroll records. Preparation of all year end payroll reporting and reconciliations. Monitor staff requirements and conduct staff performance reviews as required. Ensure that the Company adheres to the Ontario labor code. Manage and rectify staff grievances and other human resources issues. Operational: Review computer and other technology requirements to ensure what we have are still relevant and efficient and assess any new technology that may improve operations. Review and recommend any new capital expenditures. Ensure that all work flow between the different operations areas (logistics, order entry, warehouse and accounting) are efficient and that all departments are following established procedures.

Chief Financial OfficerExempt Position Job posting No. 2026-10Position OverviewThe District of Fort St. James is seeking a permanent full-time Chief Financial Officer (CFO). The CFO is a key member of the senior leadership team and is responsible for providing strategic financial leadership and oversight for the municipality. Reporting directly to the Chief Administrative Officer (CAO), the CFO leads all financial operations, including budgeting, financial reporting, long-term financial planning, asset management, taxation, payroll, procurement, and regulatory compliance. The successful candidate will help Council and senior management make informed decisions by providing sound financial analysis, risk management advice, and strategic recommendations. The CFO plays a critical role in ensuring fiscal sustainability, maintaining accountability and transparency, and supporting the delivery of municipal services to residents. QualificationsThe ideal candidate will possess a degree in Accounting, Finance, or a related discipline, along with a CPA designation and 5 yrs experience. An equivalent combination of education, training, and relevant experience may be considered. The ideal candidate will have experience in local government finance, including management and supervisory responsibilities within a unionized environment. The successful applicant will demonstrate strong leadership, communication, analytical, and decision-making skills, with the ability to build effective working relationships with Council, staff, community stakeholders, and the public. Proficiency with Microsoft Office applications is necessary and experience with MAIS is considered an asset. The ability to attend evening Council meetings is required. Additional InformationThe CFO is a permanent full-time exempt position offering 35 hours of work per week, with a salary range of $108,662 to $132,809, as well as a competitive benefits package. The successful candidate will be required to undergo a criminal record check and a verification of their education credentials. To apply for this career opportunity, please submit your resume and cover letter in PDF format to cconstantine@fortstjames.ca, referencing the career opportunity in the subject line, by the application deadline. Candidates may request a comprehensive job description by contacting us at the email above. For more information regarding our community, please visit our website at www.fortstjames.ca. The District of Fort St. James offers competitive compensation, a commitment to training and professional development, a supportive and inclusive work environment and the opportunity to make a positive impact on the organization and the community of Fort St. James.Explore the beauty of Fort St. James where we live, work and play.Located on the south shore of Stuart Lake in central British Columbia, Fort St. James is a municipality of 1500 residents and occupies lands that have been home to the Nak?azdli Whut?en people since time immemorial. The community is defined by the welcoming character and fun spirit of the people who live here as well as the beauty of the surrounding waters landscapes, and natural environments.

LOCATION: Etobicoke (Hybrid) or Cambridge (Hybrid) JOB OVERVIEW We are seeking a dynamic and detail-oriented Financial / Cost Analyst who handles customer and item profitability as well as production orders cost and yield analysis. This position will support month-end activities, assisting with audit work, and supporting the Accounting Department as required. SKILLS, EDUCATION AND EXPERIENCE Minimum 5 years of accounting experience. Degree in Accounting or Business degree. Advanced Excel user with experience in pivot tables and filters. Previous experience or knowledge of Microsoft D365 F&O is an asset. Previous experience in the food manufacturing/processing industry will be an added advantage. Positive attitude, ability to self-manage and work independently. Strong problem-solving skills. Effective communication skills with individuals at all levels of the organization. Hands-on team member. RESPONSIBILITIES Maintain and analyze product costs across multiple divisions, facilities, product types, and manufacturing processes. Analyze Bills of Materials, production quantities, yields, units of measure, and cost allocations. Identify unusual or inaccurate product costs and investigate underlying operational or system causes. Assist with maintaining appropriate standard, forecast, and actual product costs. Evaluate how changes in commodity/input costs, labour, overhead, formulations, packaging, yields, and production volumes affect finished goods costs. Prepare and maintain margin reporting by appropriate dimensions such as: Division, Facility, Product/SKU, Product category, Customer, Customer group Analyze actual margins against budget, forecast, prior periods, and established targets. Bridge margin changes between major drivers including: Selling price, Product/input cost, Volume, Product mix, Customer mix, Manufacturing efficiency, Rebates, Freight/distribution, Overhead Identify products and customers with deteriorating or abnormal margins. Prepare monthly operational cost analysis by division and facility. Compare actual manufacturing costs against budget and forecast. Calculate appropriate operational KPIs such as cost per kg, dozen, case, unit, or other relevant measures. Separate cost variances caused by changes in volume from those caused by spending or operating performance. Provide Finance and Operations with concise explanations of significant variances. Support the annual budgeting process. Other duties as required or assigned. P&H Foods Inc. and our affiliates are dedicated to fostering a diverse and inclusive workplace. We are an equal opportunity employer and prohibit discrimination and harassment of any kind. This applies to all employment practices within our organization, including recruitment. Hiring decisions are made based solely on qualifications, merit, and business needs at the time. The incumbent will be working in a proprietary environment. Policies and procedures are shared between the P&H Foods Inc. group of companies. Discussion of these with non-P&H Foods Inc. affiliated employees is strictly forbidden. Pay: From $85,000.00 per year Education: Bachelor's Degree (required) Experience: Accounting: 5 years (required) Food Manufacturing/Processing Industry: 1 year (preferred) Work Location: Hybrid remote in Cambridge, ON

Intermediate Accountant ? CPA or CPA Candidate Norelco Cabinets Ltd. ? Kelowna, BC About Norelco Cabinets Norelco Cabinets Ltd. is a locally owned and operated custom cabinetry manufacturer serving customers and dealer partners throughout Western Canada. We have been manufacturing quality cabinetry in the Okanagan since 1972. We are looking for an experienced Intermediate Accountant to join our team and play an important role in managing and supporting the accounting and financial processes for multiple related entities. This is an excellent opportunity for an accounting professional who is recently CPA-designated or actively engaged in the final levels of the CPA program and is looking for a hands-on role within a manufacturing environment. Position Summary Reporting to the CFO, the Intermediate Accountant will be responsible for a broad range of accounting functions, including full-cycle accounting, month-end reporting, reconciliations, inventory accounting, costing, and financial analysis. The successful candidate will be comfortable working independently, identifying discrepancies and opportunities for improvement, and providing accurate financial information to support business decisions. This is a hands-on accounting position, working closely with the CFO, not primarily a bookkeeping/data-entry role. Key Responsibilities Full-Cycle Accounting · Manage day-to-day accounting activities and maintain accurate general ledger records. · Perform bank, credit card, and balance sheet reconciliations. · Manage accounts payable and accounts receivable processes. · Prepare and post journal entries and account adjustments. · Maintain accurate accounting records and supporting documentation. · Assist with cash flow monitoring and forecasting. · Provide banking for ADP payroll processing and integration Month-End & Year-End · Prepare month-end working papers and reconciliations. · Assist with monthly financial statements and management reporting. · Investigate and resolve account discrepancies. · Prepare schedules and supporting documentation for year-end. · Work with external accountants/auditors as required. Manufacturing Accounting · Maintain and reconcile WIP and inventory accounts. · Assist with product and manufacturing costing. · Analyze inventory and production variances. · Support costing and pricing analysis. · Review manufacturing-related expenses and identify unusual variances. · Work with operations and the ERP system to understand and improve the accuracy of costing information. · Assist with reporting on production costs, margins, and other key financial metrics. Tax & Cross Border Customs Compliance · Assist with GST/PST filings and related reconciliations. · Maintain accurate records for tax and regulatory requirements. · Support year-end review engagement external accounting requirements. Financial Analysis & Process Improvement · Prepare financial reports and analysis for management using SAGE INTACT, Quick Books, and INSIGHT ERP systems · Identify trends, discrepancies, and opportunities for improvement. · Develop and improve accounting processes, controls, and procedures. · Assist with budgeting and forecasting. · Provide financial information and analysis to support operational and business decisions. Required Qualifications The successful candidate will have: · 3?5+ years of progressive accounting experience. · A CPA designation OR active enrollment in the CPA Professional Education Program (CPA PEP). · Strong understanding of full-cycle accounting. · Experience with month-end and year-end processes. · Strong Excel skills. · Experience with an ERP or integrated accounting system. · Excellent attention to detail and accuracy. · Strong analytical and problem-solving skills. · Ability to work independently and manage competing priorities. · Strong communication and interpersonal skills. Manufacturing Experience *Manufacturing accountin

GeneralMind builds AI Systems of Action for complex enterprise workflows. We deploy AI employees that automate messy operational handovers across supply chains - processing orders, validating invoices, coordinating suppliers, and handling exceptions directly on top of enterprise systems like SAP, Oracle, JDE, and Dynamics. Our platform combines AI agents, operational context graphs, and real transaction data to achieve Autopilot-grade automation in real operational environments. We work closely with leading global companies across manufacturing, retail, and logistics to deploy AI into mission-critical workflows. - Aufgaben Engineering & Architecture Take full ownership of frontend systems from scoping through delivery — you ask the right questions early, cut through ambiguity, and drive things to completion. Make and defend architectural decisions that balance shipping velocity with long-term maintainability; you know when to build a custom component and when to reach for a proven pattern. Build fast, accessible, and reliable interfaces with React and Next.js as your primary stack, with enough full-stack range to collaborate effectively across Python-based backend services. Evaluate AI tooling critically — you use it daily to move faster, but you understand that vibe coding is a liability, and you hold your AI-generated output to the same standard as everything else. Technical Leadership Lead your squad during planning cycles: go deep on each ticket, challenge scope where needed, and make sure the team ships with clarity. Mentor junior and mid-level engineers through code review, pairing, and design discussions — not by micromanaging, but by setting a high bar. Proactively identify bottlenecks, technical debt, and systemic risks before they become emergencies. - Qualifikation Experience: 8+ years of hands-on frontend engineering experience, with a consistent track record of shipping production applications at scale. Technical depth: TypeScript and React are non-negotiable. Deep experience with Next.js (App Router, server components, data fetching patterns) is expected. Familiarity with modern styling (Tailwind CSS), state management (Zustand, TanStack Query), and component architecture (Radix UI, headless patterns) is a strong plus. Judgment: You understand the trade-off between a pixel-perfect custom component and a pragmatic library solution — and you know which the situation actually calls for. Ownership: You don't wait to be told. You identify what needs doing, flag it, and drive it to completion. Discipline: Detail-oriented to a fault. You can take over sprint and cycle planning for a squad and make it better — tighter tickets, cleaner scoping, fewer surprises. AI-native, not AI-dependent: You integrate AI tools naturally into your daily workflow for speed and leverage, but you review, reason about, and take full responsibility for everything you ship. Independent thinker: You form your own technical views, push back when something doesn't make sense, and don't need consensus to act. Supply chain domain experience: A meaningful plus — we work in a space where understanding warehouse workflows, inventory logic, or ERP-adjacent systems translates directly into better engineering decisions. Find Jobs in Germany on Arbeitnow

What we're building Factories run on machines that generate huge amounts of data, and almost none of it gets used. We're changing that. We build AI software that turns machine and operational data into knowledge people can act on: for troubleshooting, for decisions, and for automation. We're early and in stealth. Our two founders both held C-level roles at leading German robotics ventures. They have spent years bringing advanced technology onto real shop floors, and now they're hiring the founding team. The role You'll build the software that makes sense of what happens on a manufacturing floor. That includes sensor measurements, actuator states, quality measurements, and operational events, streamed from connected machines and autonomous systems. Our platform processes this data to power analysis and automated workflows. We work AI-first. Our coding agents know our platform and our engineering practices, and you'll use them every day. You're still the engineer, though. You'll review every line, understand what it does, and test it properly. That frees you to focus on the application, the industrial domain, and the quality of the system. We care about what you can show, how fast you learn, and whether you take ownership. Seniority and years of experience matter less. What you'll do Own features end to end: understand the problem, choose the approach, then build, test, ship, and follow up Get to know the existing codebase in depth, including its architecture, dependencies, data flows, and failure modes Write code with AI tools and review each change line by line for correctness, maintainability, security, and impact on the wider system Build meaningful unit, integration, and end-to-end tests and wire them into CI Test against messy real-world data, using recorded streams, representative datasets, and simulated devices. Cover missing or delayed measurements, duplicate or out-of-order events, invalid values, and dropped connections Reproduce failures, fix them, and add regression tests so they don't return. Make sure tests reflect the intended behavior, and challenge the assumptions in the implementation Build and improve backend services, APIs, and data pipelines for industrial analytics, knowledge retrieval, and automated workflows Learn how our users and their factories work, so you can spot the right improvements and make good engineering calls Help wherever it's needed: integration, deployment, documentation, and technical investigation. Flag progress, capacity, trade-offs, and blockers early You might be a fit if you Write strong, practical Python and understand the advanced features and patterns used in production code Have built and maintained substantial software: finding your way in an existing codebase, debugging behavior you've never seen before, and shipping reliable changes Think like a tester: you turn requirements into test cases, set sensible test boundaries, build useful test data, and dig into failures Have solid fundamentals in software design, APIs, data handling, testing, debugging, and version control Can explain what code does, why it works, where it could break, and how to verify it, including code an AI helped write Like AI coding tools, use them a lot, and stay critical of their output, because you own the result Break down unfamiliar problems, investigate on your own, and ask sharp questions when you need to Find the next useful step yourself and keep moving without being told what to do Are comfortable with shifting priorities, varying workloads, and a broad scope, and communicate and prioritize clearly Write and speak clear English A degree is optional. We care about evidence that you can engineer, not about a title or a specific path. Bonus points Depth in one of these areas makes you a particularly strong candidate. We don't expect all three. ML and industrial data: strong ML fundamentals and hands-on work with time-series, sensor, machine, or robotics data. You've dealt with data quality, evaluated models, and turned results into useful product behavior Agents, autonomous systems, and industrial automation: agent coordination, workflow orchestration, state management, or failure handling. IIoT experience, such as telemetry pipelines, device interfaces, MQTT, or OPC UA, is a big plus Knowledge graphs and retrieval: knowledge representation, graph database design, schema and relationship modeling, graph queries, or retrieval that connects structured knowledge to what the application needs Also useful: cloud deployment, containers, and testing software against simulators or physical devices. Why now You'll be one of the first engineers. Your code goes to production, and your decisions shape the product and how we build it. You'll work directly with the founders from day one. We'll tell you more about the company, the founders, and our backers in the first conversation. Find Jobs in Germany on Arbeitnow

Headquarters: Remote ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen–fast. As a Principal Infrastructure Architect on our Infrastructure Architecture team, you will be the architecture team's partner to ZoomInfo's data engineering organization. Data engineering owns the platforms and the products built on them. You bring the infrastructure patterns, evaluation rigor, and cross-team alignment that help them build and run those platforms well on GCP. This is a cloud architect seat with a data specialty. You bring the same cloud, Kubernetes, networking, and infrastructure-as-code foundation as the rest of the architecture team, plus enough hands-on depth in data systems to be credible with the engineers who run them. The work breaks down four ways: Patterns. You establish and maintain the paved-road patterns data teams build on: infrastructure as code, CI/CD for data jobs and pipelines, monitoring and alerting, performance, and cost. You keep them easy to consume and self-service. Enablement and alignment. You help data teams adopt those patterns, review their designs, and work through hard infrastructure trade-offs with them. Evaluation. You run POCs of new data technologies and vendor offerings as part of the procurement and technology-lifecycle process, and you write recommendations engineering leaders can act on. Shared stewardship. You take a full share of the architecture team's general work: weekly architecture reviews across all domains, standards and ADRs, and infrastructure consulting for any team that needs it. The data estate is broad. We don't expect deep experience across all of it. We expect real depth in some areas and the ability to build depth in others as the work demands. Patterns get adopted here through leadership and communication rather than positional authority. You'll write reference implementations, open the first PRs, and stay hands-on through enablement when a critical initiative calls for it. What You'll Do Establish infrastructure patterns for data workloads. Design and maintain reference patterns for provisioning and operating the data platforms ZoomInfo runs: streaming and messaging (Kafka/Confluent, Pub/Sub), operational databases (PostgreSQL/Cloud SQL, MongoDB), analytical stores (BigQuery, Snowflake), search (Elasticsearch/Solr), pipeline orchestration and processing (Apache Airflow/Cloud Composer, Dataflow/Apache Beam), and open table formats (Apache Iceberg). Ship them as Terraform modules, GitOps workflows, and documented standards that data teams can adopt without reinventing them. Build the data paved road. Today's delivery tooling is application-centric. Define CI/CD and GitOps patterns for data jobs and pipelines, and partner with platform engineering and data engineering to make data delivery as safe and automated as application delivery. Establish performance, cost, and observability patterns. Give data teams the patterns and guidance to run stores and pipelines efficiently (query and storage optimization, partitioning and clustering, tiering and retention, workload isolation, right-sizing) and the monitoring, alerting, and SLO practices that make performance and cost visible. Set the baseline patterns for backup, restore, and disaster recovery of data stores, including RTO/RPO targets. Partner with FinOps on data-layer spend. Review workloads with teams against these patterns and help them align. Evaluate new technologies. Run structured POCs of emerging data technologies and vendor offerings as part of the procurement and technology-lifecycle process. Recent examples include graph and distributed SQL databases, stream processing (Apache Flink, Confluent Flink), and schema management and cataloging. Weigh self-hosted against vendor-managed, map migration and exit paths, model cost, and write up a recommendation. Bring managed data services inside the perimeter. Define the patterns for connecting vendor-managed data planes (Confluent Cloud, Snowflake, MongoDB Atlas, and similar) to our GCP environment: private connectivity (Private Service Connect, PrivateLink, VPC peering), VPC Service Controls, identity and encryption across the boundary (workload identity, CMEK, in-transit), and the DNS and routing that go with them. Model egress and cross-region cost, and set the exfiltration controls that keep those services inside the compliance perimeter. Support data consolidation and governance efforts. Contribute infrastructure guidance to data engineering's work on consolidating where data lives and is accessed (BigQuery, Snowflake, object storage) and on data classification, residency, and access policy. Prototype and hand off. Build the reference implementation, write the ADR, and partner with the owning teams to roll the pattern out. Stay hands-on through POC and initial enablement. Participate in architecture review. Bring a consistent, documented rubric to weekly architecture reviews across all domains, including designs that have nothing to do with data. Expand the standards library and ADR catalog. Take a share of the team's general consulting and support load. Enable teams. Host design reviews and workshops. Serve as the infrastructure consultant to data teams making complex choices. What We're Looking For Influence and communication. You can present a recommendation, show its value, and back it with prototypes, benchmarks, and documented rationale. You've gotten patterns adopted across engineering organizations you don't manage by working with the teams involved. Cloud infrastructure foundation. Production experience architecting on GCP and/or AWS beyond the data services: compute and Kubernetes (GKE or equivalent) as the runtime for data workloads, VPC networking and private connectivity to managed services, IAM and workload identity, and cost and reliability trade-offs. Strong Terraform and GitOps skills, including designing and reviewing modules other teams depend on. You can review a service-mesh or network design in architecture review with credibility. Hands-on data infrastructure experience at scale. You've built and operated the infrastructure under data platforms at multi-terabyte to petabyte scale, with high throughput, high concurrency, and latency-sensitive workloads, and you know what breaks in production. Depth in at least two data domains, fluency across the rest. Deep production experience in at least two of: streaming and stream processing (Kafka/Confluent, Flink); relational operational databases (PostgreSQL); NoSQL (MongoDB); columnar analytics and lakehouse (BigQuery, Snowflake, Iceberg); search (Elasticsearch/Solr); pipeline orchestration and processing (Airflow, Dataflow/Beam). Enough fluency in the others to evaluate, review, and learn them quickly. Performance and cost engineering. You've diagnosed and fixed expensive or slow data workloads (query plans, storage layout, pipeline design, warehouse spend) and turned the fixes into reusable patterns and monitoring that other teams picked up. Development and operational depth. You can dive into code to prove out a pattern and test behavior under load, and you'd rather ship a working prototype than a diagram. Technology evaluation. You've run rigorous evaluations that separate vendor pitch from architectural fit, and your recommendations have been used by engineering leaders and procurement. Bonus Points Supported a lakehouse or data mesh migration from the infrastructure side. Implemented data classification, residency, or privacy/compliance (GDPR/CCPA) controls at the infrastructure layer. Run graph or distributed SQL databases in production. Know the infrastructure demands of AI/ML data workloads (feature stores, vector databases, embedding pipelines). Built or applied AI-augmented developer or architecture workflows (agent-driven pipeline provisioning, MCP servers, LLM-based rubric evaluation). Run or participated in an Architecture Review Council or equivalent governance body. Education and Experience Bachelor's degree in Computer Science, related technical field, or equivalent practical experience. 10–15+ years of cloud infrastructure, platform, or data infrastructure engineering experience, including several years establishing patterns and standards that multiple teams depend on. #LI- RA1 #LI-Remote Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here . Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $157,500 — $247,500 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here . ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location. To apply: https://weworkremotely.com/remote-jobs/zoominfo-technologies-llc-principal-infrastructure-architect-data-platform

About us Re-architecting Engineering for the Age of Intelligence PhysicsX is the physics AI company for industrials. The company's mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area. Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. Who We're Looking For As a Senior Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side-by-side with them on-site) to embed cutting-edge AI models into tools that are useful and used. You've shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools and make pragmatic product decisions that set Delivery up for success. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products. With at least 3 years industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers. This Role As a Senior MLE, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes. You'll: Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time‑series forecasting, anomaly detection, optimization & control) to customer production environments. Communicate results and trade‑offs to senior stakeholders; steer roadmaps and influence product direction with evidence. Lead scoping and architecture design for data/ML systems; define success metrics, delivery plans and quality bars. Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others. Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision‑making under pressure. Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3-4 weeks per quarter , where you'll collaborate closely with customers to build solutions on-site. Own the scoping of new projects and work-streams with existing customers and taking part in bringing new customers to PhysicsX. As a senior member of the team, you'll significantly influence our technical direction and will be involved in shaping future solutions and products, while developing your skills as a technical leader. Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you'll contribute to this exciting journey! We operate on a hybrid working model with 3 days in our Shoreditch office. What we offer Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected. Sustainable pace, long-term ambition Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn't stop there … 🚀 Equity options - share meaningfully in the company you're helping to build. 🏦 10% employer pension contribution - because investing in future matters. 🍽️ Free office lunches - to keep you energised and focused. 👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. 🍼 YellowNest nursery scheme - to help working parents manage childcare costs. ☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. 🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind. 💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. 👀 Eye tests - because good work depends on good health. 📈 Personal development - dedicated support for learning, development, and leveling up over time. 💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. 🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener. 🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. 🔎 Watch this space, we're continuing to build this as we grow… We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. Find Jobs in United Kingdom on Arbeitnow

About us Re-architecting Engineering for the Age of Intelligence PhysicsX is the physics AI company for industrials. The company's mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area. Note: We are currently recruiting for multiple positions across different levels, however please only apply for the role that best aligns with your skillset and career goals. What you will do Own the training stack end to end: experiment harness, sweeps, distributed training, checkpointing, and throughput. Implement and optimise model architectures with efficiency perspective: sparse attention and convolution, custom kernels, memory and precision work, and making a prototype fast enough to train at scale. Take architectural ideas from prototype to trained model, and own the ablations that establish whether a change actually helped. Set technical direction for the training stack, and build the inference and evaluation path that turns a checkpoint into something usable. Identify engineering investments that unlock research progress. What you bring to the table Senior-level experience in training machine learning models at scale, in industry or a research group of comparable intensity, instrumental in: distributed training with FSDP or equivalent, including profiling and diagnosing idle GPUs; PyTorch and CUDA at depth, ideally including sparse convolution or sparse attention internals and custom CUDA or Triton kernels; implementing architectures from papers and making them work, then making them fast; reproducible experiment infrastructure, because most of the compute in a programme like this is spent on runs that fail. Experience with 3D or other irregular data: meshes, point clouds, voxels, sparse tensors. Ability to scope and deliver projects, and strong problem-solving skills. Degree in CS, engineering, mathematics, physics or a related field. A PhD is welcome but not required; engineering depth matters more. Desirable: open-source contributions, public technical writing, or papers at MLSys, SIGGRAPH or CVPR What we offer Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected. Sustainable pace, long-term ambition Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn't stop there … 🚀 Equity options - share meaningfully in the company you're helping to build. 🏦 10% employer pension contribution - because investing in future matters. 🍽️ Free office lunches - to keep you energised and focused. 👶 Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. 🍼 YellowNest nursery scheme - to help working parents manage childcare costs. ☀️ 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters. 🏥 Private medical insurance - 100% employee cover, giving you complete peace of mind. 💪 Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. 👀 Eye tests - because good work depends on good health. 📈 Personal development - dedicated support for learning, development, and leveling up over time. 💛 Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. 🚲 Bike2Work scheme and 🚆 Season ticket loan - to make getting to work easier and greener. 🚗 Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. 🔎 Watch this space, we're continuing to build this as we grow… We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. Find Jobs in United Kingdom on Arbeitnow

Technology that speaks your language Domera Labs builds Ami, the first AI companion for seniors. Ami brings the power of a smartphone into a more human form: voice-first and deeply personalized We at Domera Labs are rethinking human-machine interaction from first principles by introducing a better interface to interact with technology: voice By combining the most intuitive hardware design with frontier AI, Ami makes AI accessible for the fastest growing demographic worldwide. The goal is to make the everyday life older adults more seamless, while addressing that generation's biggest challenge: loneliness and isolation. With Ami we are building the category leader of a new hardware paradigm by building a full standalone device (and not a gadget) that aims to makes the smartphones of today redundant. The underlying technology of Ami combines a model-agnostic streaming pipeline consisting of proprietary models and off-the-shelf frontier models to create a hyper-personalized and proactive user experience. The backbone of Ami is built by our foundational lab that builds a social intelligence model that is optimized for social interaction, human behavior and interpersonal skills. Domera Labs has secured large distribution agreements, a model co-development partnership with a leading AI lab, and ODM manufacturing proposals. We are looking for people who want to build at the intersection of human-machine interaction, mass-consumer facing hardware and shape frontier research with social/non-quantifiable benchmarking. Core Responsibilities You own the software that makes Ami work. Your primary responsibility is to architect, write and ship the on-device application and services for our mass-market consumer device, from voice interaction and cloud connectivity to onboarding, recovery and everyday reliability. You will work directly with our ODM and silicon partners to integrate that software with the underlying platform. Our target hardware uses a Qualcomm SoC with Android/AOSP or embedded Linux depending on the final platform selection. Our users are 75 years old and there is no screen, no settings menu, and no IT support. If the device does not work out of the box, it fails. Your job is to make the following work. On-device application: build and own Ami's application and services, including interaction logic, real-time audio streaming, cloud communication, local state and recovery from network interruptions or service failures Device identity and fleet management: provisioning, unique device identity, secure key storage, and the systems that let us know what every unit in the field is doing The maintenance channel: a reliable service and diagnostics path to the device (BLE, USB-C, or both) for field debugging, factory test, and recovery Out-of-the-box experience: first-boot network onboarding that a senior can complete alone, with no screen and no smartphone as a crutch. This is the single highest-stakes piece of the product Flash and update management: partition layout, A/B OTA with rollback, staged fleet rollouts, and bricking as a category of bug that never happens Base platform behaviors: boot and recovery, factory and soft resets, button and LED mappings, audio feedback, power states and battery behavior The audio front end: working with our ODM and silicon partners on mic array, echo cancellation, wake word, and the latency budget from mic to first spoken token Bringing the device through EVT, DVT, and PVT with our ODM as the technical counterpart on our side What we are looking for ⁠A builder's mindset: ship > fail > learn > improve Stay focused when multiple priorities compete and the ranking is unclear Work seamlessly across research and engineering Can navigate ambiguity and make progress in fast-moving research environments This is a founding-level position. You will work directly with the founders, shape the architecture from the ground up, and see your work in users' hands within months, not years. Technical Requirements You have shipped a connected consumer device to production, not just to a demo table. You know what goes wrong between DVT and mass production Strong hands-on experience building production device applications and services on Android/AOSP, using Kotlin or Java and C/C++ for native components and hardware integration. You can own the on-device application end to end, including background execution, connectivity, audio and integration with platform services. Experience with embedded Linux is a plus; Python proficiency for tooling and testing is expected. Experience developing for AOSP-based devices beyond standard smartphone apps: integrating privileged applications and services, working with system permissions and hardware interfaces, and collaborating with an ODM or silicon vendor on the underlying platform. Qualcomm platform experience is a plus. Wireless connectivity in the real world: Wi-Fi provisioning, BLE, and ideally cellular. You have debugged a device that would not join a network in someone's home OTA and flash: bootloaders, secure boot, A/B partitioning, rollback, and staged rollouts across a fleet You can diagnose issues across application code, platform services and hardware interfaces A builder's mindset: you'd rather ship and measure than debate Bonus : real-time audio pipelines (I2S, DSP, AEC, wake word), on-device ML inference, factory test and manufacturing line bring-up, regulatory certification (CE, FCC), power optimization for battery life, experience in NLU / NLP We lean toward senior engineers who can independently own production device software, but demonstrated ownership matters more than years of experience. Experience integrating real-time AI services into a consumer product is a plus. What you get ⁠Founding-team equity and a real say in technical direction ⁠A product with signed launch partners, not a demo in search of a market ⁠A small team, short decision paths Cash compensation range of CHF 80 - 120k with significant equity incentives Opportunity to shape the future of hardware and social intelligent AI models We encourage you to apply even if you do not believe you meet every single qualification. Compensation: CHF 70K – CHF 120K • Offers Equity • Estimated base salary CHF 70K – CHF 120K • Offers Equity Find more English Speaking Jobs in Switzerland on Arbeitnow

Hi, we're Back Market. We're here to help make tech reliable, affordable, and better than new . We're a global marketplace for refurbished devices, helping lower our collective environmental impact by providing trustworthy, affordable tech with 92% less carbon emissions than new. Yep, you read that right. Turns out refurbished tech is way better for the planet than new. In fact, With every device purchased on Back Market, our positive impact on the planet grows. From our Customer Care representatives to our software engineer, every individual at Back Market cuts the planet — and consumers — a break. Our mission is simple: to do more with what we already have. Are you ready to join us? Our Seller Success team sits at the heart of Back Market's marketplace — we're the bridge between our mission and the sellers who make it real. No great sellers, no refurbished revolution. Simple as that. As an Advanced Seller Success Manager, you'll own a portfolio of high-profile Smartphone and core category sellers across France and the EU. You're not just managing accounts — you're building genuine partnerships with the people helping us put the brakes on the "buy new" machine, one device at a time. YOUR MISSION (IF YOU ACCEPT IT): 🥇 You'll be the strategic partner your sellers didn't know they needed — part consultant, part data analyst, part relationship builder, and 100% committed to growth. Own the sales and quality performance of your seller portfolio across all European Back Market websites Build lasting relationships with sellers based in France and the EU, supporting their day-to-day needs with a consultative, solution-oriented approach (sales, marketing, logistics — you've got them covered) Lead Business Reviews and strategic planning sessions, including on-site seller visits and operational audits Leverage data to track performance, analyze trends, and build projections that fuel both seller strategy and Back Market's broader EU direction Drive cross-functional projects to deliver tailored solutions for your sellers Channel your field insights back into Back Market's business strategy — your experience on the ground is gold YOU ARE IN THE RIGHT PLACE IF: ⭐ You have : 3+ years of experience in account management, sales, or a related field — or an equivalent track record that proves you know how to grow things Excellent French and English communication skills, written and verbal A proven ability to manage seller / customer portfolios and hit performance targets Strong project management chops — you handle deadlines, competing priorities, and shifting goalposts with calm and creativity A data-driven mindset: SQL and/or Tableau experience is a bonus, but a genuine readiness to level up your analytics skills is a must Nice to have: Marketplace or e-commerce background A genuine interest in sustainability and circular economy You also bring: A proactive, positive attitude — you represent Back Market with confidence and warmth in every seller interaction, audits and visits High empathy — you're the kind of person sellers trust and colleagues count on A resourceful, scrappy spirit — if the playbook doesn't exist yet, you write it (and share it with the whole team) ABOUT THE ROLE Location : Bordeaux is preferred, Paris to be discussed 3 days/week at the office mandatory THE RECRUITMENT PROCESS HR screen with the Talent Acquisition team (30–45 minutes) Take-home case study Interview with Roberto, hiring manager (45 minutes) Interview with Antoine, EU Sellers Director (30 minutes) Back Market values interview (45 minutes) WHY SHOULD YOU JOIN US ? ✌🏼 At Back Market, we're committed to hiring and supporting diverse teams of people from all backgrounds, experiences, and perspectives — it's one of the reasons we're such a high-scoring certified B Corp company (93.2). No matter your role and seniority level, you'll enjoy impact-driven work with hands-on career development in an innovative, driven, and fast-paced environment — with benefits to match, like: - A mission driven work environment where your day to day makes an impact on the planet. Seriously. - Hybrid work environment, with 2 remote days a week and 1 remote work week per quarter, plus 3 flex days. - Employee Resource Groups, including mentorship programs, comprehensive accessibility policies, and cultural competency training. At Back Market, we strive to create a workplace that embodies the world we're trying to change. We've embedded our diversity, equity, and inclusion principles into our DNA — from dedicated staff to employee resource groups to our company values. We know that the perfect background for a role doesn't mean the perfect fit — we encourage you to apply for a role even if you think you may not have all the qualifications. If reasonable accommodations are needed for the interview process, please do not hesitate to discuss this with the Talent Acquisition Team. Find more English Speaking Jobs in France on Arbeitnow