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Location: Bristol, UK Start date: September 2027 Application deadline: Midnight 29 th November We encourage you to apply early, as we may close applications before the advertised deadline. The Graduate Programme at Graphcore Join Graphcore in a permanent role and start your career with two years of hands-on learning. From day one, you'll be trusted to take ownership, share your ideas and help shape what we're creating. You'll tackle challenging problems alongside a team who support your development and are as excited about your success as you are. What you'll work on Put your engineering knowledge to work on how advanced AI hardware moves from design into manufacture. As a Manufacturing Operations Graduate, you'll support silicon packaging and printed circuit board assembly production in Taiwan. You'll analyse performance data and use test design to investigate hardware and software issues, helping improve quality, cost and delivery. You'll also contribute to quality planning, audits and process control, alongside component selection and bill of materials management. Your team and support You'll join Manufacturing Operations in Bristol, working alongside Product Test, Quality and Supply Chain. Colleagues across the UK, Taiwan and India collaborate with design teams and development partners to solve manufacturing challenges. Experienced engineers and operations specialists will support you as you contribute to decisions guided by data and customer requirements. Bring your questions and ideas, listen to other perspectives and explore better ways of doing things. Take responsibility for your work and speak up when you spot a problem or need support. How you'll learn and grow During the two-year programme, your graduate rotation will show you how engineering decisions affect the finished product and its journey through a global supply chain. You'll develop the judgement to compare approaches and weigh up trade-offs, alongside project management and communication skills as you organise your work and explain your findings. What we're looking for Bachelor's/Master's degree in Mechanical or Electrical Engineering, Physics or a related field Knowledge of semiconductor design and manufacturing principles, and an understanding of design and manufacturing principles for printed circuit board assemblies and servers Experience using tools such as Python, Linux, Bash and Git Data analysis skills, with the ability to explain findings and support decisions using evidence You can demonstrate these skills through coursework, a dissertation, laboratory work, research, personal or team projects, or other relevant experience. Tell us what you built or investigated, how you approached it and what you learned. Benefits Flexible working: Balance your work and personal life with greater flexibility Retirement planning support: Up to 5% matched pension Phantom equity: Share in Graphcore's success Workplace experience: Enjoy thoughtfully designed office spaces for collaboration, with free food and an on-site barista to support your day Peace of mind protection: Income protection and life assurance to provide financial security for you and your loved ones Electric Vehicle Scheme: Choose an electric vehicle and lease it through salary sacrifice Flexible benefits: Tailor your benefits package with a choice of additional options, including private medical insurance and dental cover Optional benefits: Dental cover, health cash plan, private medical insurance, cycle to work scheme, give as you earn We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We're an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we're happy to support you. Sponsorship Applicants must already have the right to work in the UK for the full duration of the programme, without requiring visa sponsorship. We are unable to sponsor work visas for our Early Careers opportunities. Introduction to Graphcore At Graphcore, we're building next generation AI compute: from semiconductors and software to systems at datacenter scale. We are proud to be owned by SoftBank Group and work with other companies in the SoftBank family to deliver AI compute to customers working at the AI frontier. Starting your career here means working alongside people with different backgrounds and expertise, from AI researchers to chip designers and software engineers. You'll learn from each other, bring fresh ideas and help solve challenging problems together. How to apply and what to expect To apply, answer the application questions below and upload your CV and cover letter. We'll let you know the outcome of your application by early December at the latest. If successful, you'll be invited to complete a technical assessment. Candidates who reach the final stage will then be invited to attend in-person assessments in early spring. Ready to put your learning into practice? Start your career in a permanent Manufacturing Operations Graduate role, with two years of hands-on learning through the Graphcore Graduate Programme. Apply now and help shape what comes next. Find Jobs in United Kingdom on Arbeitnow

Tayco is looking for one enthusiastic and passionate individual to join our growing and dynamic Commercial Space Design Team at Etobicoke. Tayco is a modern office furniture manufacturer where each individual makes a large impact. We are looking for someone who is aligned with our core values of Ownership, Progressive, Efficient, and Enjoyable Experiences. POSITION SUMMARY By providing the customer with design solutions, product recommendations, and pricing information in a timely manner, and by working closely with the sales team to grow existing customers and develop new customer base, the Commercial Space Designer strives to increase the company sales and customer satisfaction. Requirements Demonstrate a solid understanding of Tayco?s offerings and finished in order to competently facilitate the order process. Maximize sales and Customer satisfaction through quotation process. Generates approximately 90 quotes per month and/or manages ½ a territory. Contact the Customer to gather project information, specification, and requirements in order to recommend specific products or solutions. Prioritize quotation requests by dealer tiers established by the sales team, requested date by customer, as well as first in first out basis. Plan 2D and 3D drawings, coloured renderings and prepare parts list based on the information provided / gathered. Filter Special requests through Engineering Decision Tree . Consult Engineering department for any custom requests and prepare engineering items if necessary. Review and check drawings and parts list for accuracy. Obtain material up-charge information from purchasing or engineering, as necessary. Present the customer with final drawings, pricing and any other additional information related to the specific project. Proactively recommend items needed by customers to increase customer satisfaction and improve transaction profitability. Increase sales and average order size by means of cross-selling, up-selling, add-on sales and offering promotional sale items. Educate customers about terminology, features and benefits of products in order to improve product related sales and customer satisfaction. Coordinate with Customer Service and Order Analysts for the smooth transition from quote to order. Works as a team player to covers orders and territories for Team Members when they are away. Other duties as assigned. QUALIFICATIONS Degree, Diploma, or Certificate from a post-secondary institution; or two years experience in any of the following: Interior Design, Industrial Design, Engineering, or any related field. Previous Project Management experience is considered an asset. Ability to read, interpret, and re-create documents such as Architectural Drawings/Floor Plans and written specifications. Must have knowledge of computers and related programs such as CET, Auto CAD, 20-20, Giza, Rendering software or other related programs. Must also have a working knowledge of Microsoft Word, Excel/Lotus, Giza and have experience using E-mail. Have the capacity to learn new computer programs, be able to adapt to a changing environment, and handle multiple tasks. Must have a clear, polite and friendly speaking manner, excellent phone skills, and possess good listening, spelling and grammar skills in order to communicate effectively and efficiently. Must possess good organizational skills, have a good attention span, pay attention to detail, and be able to prioritize workload. Ability to work as a team and communicate with co-workers. Must have leadership skills and empathy. Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. <

Education: Other trades certificate or diploma. or equivalent experience. Work site environment: Outdoors. Interior. Work setting: Office. Commercial and/or industrial construction. Management. Budgetary responsibility: $500,001 - $1,500,000. Tasks: Coordinate subcontractors activities . Evaluate daily operations . Plan and organize daily operations. Prepare and submit construction project budget estimates. Hire and supervise activities of subcontractors. Plan and prepare construction schedules and milestones and monitor progress. Operate CADD and other computer software systems. Read blueprint, schemas and drawings. Plan and manage budgets. Ensure compliance to drawings, specifications and building codes. Supervision: 5-10 people. Certificates, licences, memberships, and courses : Construction Trade Certification. Computer and technology knowledge: AutoCAD. MS Excel. MS Outlook. Equipment and machinery experience: Hand tools. Construction specialization: Industrial, commercial and institutional. Area of specialization: Project management. Security and safety: Driver's validity licence check. Transportation/travel information: Valid driver's licence. Own vehicle. Work conditions and physical capabilities: Tight deadlines. Attention to detail. Personal suitability: Efficient interpersonal skills. Excellent oral communication. Excellent written communication. Flexibility. Judgement. Organized. Team player. Values and ethics. Accountability. Screening questions: Do you have experience working in this field?. Do you have the required certifications listed in the job posting?. Do you meet the language requirements listed in the job posting for the position (English or French)?. Experience: 3 years to less than 5 years. Employment terms options: Day. Health benefits: Dental plan. Disability benefits. Health care plan. Vision care benefits. Other benefits: Free parking available.

About the Job: Infoya is looking for an experienced Senior Automation Engineer with strong expertise in test automation , database testing, ETL validation, and data pipeline testing. The ideal candidate will have hands-on experience working with cloud-based data platforms, complex data architectures, and business intelligence solutions. The candidate will be responsible for ensuring data accuracy, integrity, consistency, reliability, and performance across enterprise data pipelines and analytical platforms . Office Location: Toronto Employment Type: Permanent Role Type: New position ? current requirement Work Arrangement: Hybrid (2 days in office) Position Responsibilities: Test Automation (Mandatory) Design, develop, and maintain automated testing frameworks for database, ETL, and data pipeline validation. Develop reusable automated test scripts using Python, SQL, or equivalent technologies. Automate source-to-target reconciliation, data quality checks, schema validation, and regression testing. Integrate automated tests into CI/CD pipelines. Improve test coverage, execution efficiency, and overall QA productivity through automation Database Testing & Data Validation Design and execute comprehensive database testing strategies for complex enterprise applications. Perform advanced SQL-based validation, including complex joins, aggregations, stored procedures, and data reconciliation. Validate data integrity, completeness, accuracy, and consistency across source and target systems. Conduct backend testing using PostgreSQL and StarRocks. Identify data quality issues, transformation defects, and performance bottlenecks. ETL & Data Pipeline Testing Validate end-to-end ETL/ELT workflows, including data extraction, transformation, loading, and reconciliation. Test batch and streaming data pipelines for accuracy, completeness, and reliability. Validate transformation rules, data mappings, business logic, and aggregation calculations. Perform incremental load, full load, duplicate detection, and data consistency testing. Verify error handling, recovery mechanisms, and data pipeline dependencies. Cloud & Data Platform Testing Work with Google Cloud Platform (GCP) to validate cloud-based data processing and storage solutions. Perform data validation across PostgreSQL, StarRocks, and other enterprise data platforms. Test data ingestion, processing, transformation, and integration workflows. Collaborate with Data Engineers, Cloud Engineers, and Developers to troubleshoot data-related issues. Business Intelligence & Reporting Validation Validate Tableau dashboards, reports, KPIs, and analytical outputs. Reconcile dashboard data against underlying databases and source systems. Verify business rules, filters, aggregations, calculations, and reporting accuracy. Ensure consistency between analytical data layers and business reporting. Performance Testing (Good to have know

Job Description About the Job: Infoya is looking for an experienced Senior Automation Engineer with strong expertise in test automation , database testing, ETL validation, and data pipeline testing. The ideal candidate will have hands-on experience working with cloud-based data platforms, complex data architectures, and business intelligence solutions. The candidate will be responsible for ensuring data accuracy, integrity, consistency, reliability, and performance across enterprise data pipelines and analytical platforms . Office Location: Toronto Employment Type: Permanent Role Type: New position ? current requirement Work Arrangement: Hybrid (2 days in office) Position Responsibilities: Test Automation (Mandatory) Design, develop, and maintain automated testing frameworks for database, ETL, and data pipeline validation. Develop reusable automated test scripts using Python, SQL, or equivalent technologies. Automate source-to-target reconciliation, data quality checks, schema validation, and regression testing. Integrate automated tests into CI/CD pipelines. Improve test coverage, execution efficiency, and overall QA productivity through automation Database Testing & Data Validation Design and execute comprehensive database testing strategies for complex enterprise applications. Perform advanced SQL-based validation, including complex joins, aggregations, stored procedures, and data reconciliation. Validate data integrity, completeness, accuracy, and consistency across source and target systems. Conduct backend testing using PostgreSQL and StarRocks. Identify data quality issues, transformation defects, and performance bottlenecks. ETL & Data Pipeline Testing Validate end-to-end ETL/ELT workflows, including data extraction, transformation, loading, and reconciliation. Test batch a

Risk Analyst / Risk Manager – Remote Enterprise Risk | Compliance | Governance | Financial & Operational Risk Position Type: Full-Time, Remote Working Hours: U.S. Client Business Hours (with flexibility for reporting cycles, audits, and incident response) About the Role At Pavago, we're hiring on behalf of one of our clients for a Risk Analyst / Risk Manager to identify, assess, monitor, and mitigate financial, operational, compliance, and enterprise risks across the organization. This is a high-impact role where you'll help safeguard the business by developing risk frameworks, analyzing emerging threats, strengthening internal controls, and delivering actionable insights that support strategic decision-making. You'll work closely with Finance, Operations, Compliance, Legal, IT, and Executive Leadership to ensure the organization remains compliant, resilient, and prepared for evolving business risks. If you're analytical, detail-oriented, and enjoy translating complex risk data into practical business recommendations, this role is built for you. What You'll OwnEnterprise Risk Assessment Conduct enterprise-wide risk assessments across: Financial risk Operational risk Compliance risk Market risk Cybersecurity risk Maintain and update: Risk registers Control matrices Risk assessments Remediation trackers Identify emerging risks and prioritize mitigation activities. Partner with business leaders to strengthen proactive risk management practices. Risk Modeling & Analytics Build and maintain quantitative risk models using: SQL Excel Python R SAS Perform: Stress testing Scenario analysis Sensitivity analysis Regression analysis Monte Carlo simulations Value at Risk (VaR) modeling Analyze trends, anomalies, and key risk indicators (KRIs). Deliver data-driven recommendations to leadership. Compliance & Regulatory Oversight Support compliance with applicable frameworks such as: SOX Basel III Dodd-Frank GDPR HIPAA PCI-DSS Industry-specific regulations Prepare quarterly and annual compliance reports. Support internal and external audits. Maintain audit-ready documentation and evidence. Track remediation activities and regulatory deadlines. Internal Controls & Governance Test and evaluate internal controls. Monitor incidents, exceptions, and risk events through Governance, Risk & Compliance (GRC) platforms. Support governance committees with reporting and documentation. Partner with IT and Security teams on: Cyber risk Vendor risk Operational resilience Recommend improvements to governance processes and internal controls. Reporting & Executive Communication Build dashboards and reports using: Power BI Tableau Looker Excel Present risk trends and mitigation recommendations to leadership. Translate technical risk findings into clear business insights. Maintain accurate documentation for executive reporting and audit purposes. Cross-Functional Collaboration Work closely with: Finance Operations Compliance Legal IT & Security Executive Leadership Embed risk awareness into business processes. Support continuous improvement of enterprise risk management frameworks. RequirementsMust-Have QualificationsExperience 3+ years of experience in: Risk Management Enterprise Risk Compliance Audit Governance Experience working within regulated or compliance-driven environments. Core Skills Strong proficiency in: SQL Microsoft Excel Data analysis Experience using Governance, Risk & Compliance (GRC) platforms such as: Archer ServiceNow LogicManager Or similar solutions Strong understanding of: Enterprise Risk Management (ERM) Internal controls Regulatory compliance Experience creating executive dashboards and risk reports. Excellent written and verbal English communication skills. Nice to Have Professional certifications such as: FRM CFA CPA CCEP Experience with: VaR Monte Carlo simulations Stress testing Background in: Financial Services Healthcare SaaS Enterprise Technology Experience supporting board reporting or executive governance committees. Knowledge of: Cyber risk Vendor risk Operational resilience Experience using: Tableau Power BI Looker What Makes You a Strong Fit Strong analytical and quantitative mindset. Exceptional attention to detail. Able to simplify complex risk concepts for business stakeholders. Proactive in identifying issues before they become significant risks. Strong balance of technical expertise and business judgment. Comfortable managing multiple priorities in a fast-paced environment. Tools & Technologies SQL Microsoft Excel Python R SAS Power BI Tableau Looker Archer ServiceNow LogicManager Enterprise Risk Management (ERM) platforms What a Typical Day Looks Like Review dashboards for emerging operational, financial, or compliance risks. Run quantitative risk analyses and stress tests. Update risk registers and remediation trackers. Test internal controls and validate governance processes. Prepare executive reports and compliance documentation. Collaborate with business teams to strengthen risk mitigation strategies. Track remediation progress and regulatory deadlines. In short: You serve as the organization's early-warning system—identifying, assessing, and mitigating risks before they impact the business. Key Metrics for Success (KPIs) Timely and accurate risk reporting. Internal controls tested and validated on schedule. Early identification and mitigation of business risks. Zero missed regulatory or audit deadlines. High-quality executive reporting and dashboards. Positive audit outcomes and leadership confidence. Why Join Us? Make a direct impact on enterprise risk strategy. Work closely with executive leadership and cross-functional teams. Influence governance, compliance, and operational resilience. Build scalable risk management frameworks. Fully remote role with long-term growth opportunities. Clear career progression into: Senior Risk Manager Enterprise Risk Lead Director of Risk & Compliance Chief Risk Officer (CRO) Interview Process Application Review Spark Hire Intro Video (3–5 minutes) Recruiter Interview Practical Assessment (Risk Analysis & Recommendations) Client Interview Offer & Background Verification What Happens After You Apply Right after you apply, you'll receive an email invitation from Spark Hire to record your Intro Video. This short, self-recorded video is the final step that completes your application and can be recorded whenever it's convenient for you. Instead of repeating yourself across multiple screening calls, you'll introduce yourself once, and your video will be shared with the hiring team. This helps hiring managers evaluate your communication style early, making future interviews more meaningful and reducing unnecessary interview rounds. Don't overthink it—you can record your video as many times as you'd like before submitting it. Only your final submission will be reviewed. Please keep an eye on both your inbox and spam folder for your Spark Hire invitation after submitting your application. Apply Now If you're a Risk Analyst or Risk Manager who enjoys identifying business risks, strengthening governance, improving compliance, and helping organizations make informed decisions, we'd love to hear from you. Apply today and play a key role in protecting and strengthening a growing business. Please mention the word IMPRESSIVENESS and tag RMmExMzpkMjAwOjEzOjcxOjox when applying to show you read the job post completely (#RMmExMzpkMjAwOjEzOjcxOjox). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

Adaptyv is building an automated lab that lets AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. About the Role Our lab produces binding data faster than any one person can look at it. Runs come off the Gators and the Carterra, go through our processing pipeline, and land in a review queue. Somebody with real judgment then has to decide: is this curve real? Is that a fit artifact or a genuine two-state binding event? Does this replicate get delivered, or does the sample get re-run? That person is you. The second half of the job is talking to the customer about it. When a design team gets a plate back and three of their best predictions look like non-binders, they want to talk to someone who can explain why: reference subtraction, avidity, an off-rate at the edge of what the instrument resolves, or simply a bad protein. You'll be that person, on the call, sharing your screen, walking through sensorgrams. This is a role for a scientist who is very good at kinetics and also likes people. If you like one but not the other, you'll be unhappy here. What You'll Do Review the binding data coming out of the lab. Every SPR and BLI run passes through our processing pipeline and then to human review, and you're the expert eye on the output. You decide what gets delivered, what gets flagged, and what gets re-run. Judge the curves, not just the numbers. A clean-looking Kd on a bad fit is worse than no number at all. You know the difference between a real off-rate and a drifting baseline, and you can say why. Review data from our other assays too: thermostability, expression, developability, enzyme activity. Binding is the core of the role but it isn't all of it. Talk to customers about their results. Deliverable walkthroughs, follow-up questions, and the awkward conversation when the data doesn't say what they hoped. You explain what we measured, how confident we are, and what to do next. Turn review into experimental design. When something needs a re-run, you decide what changes: orientation, regeneration, concentration series, or a switch from BLI to SPR for the sensitivity. Analyze at the batch level, not just the sample level. With hundreds of results per experiment, you should be writing a script to find the pattern rather than clicking through a queue. Systematic drift, a bad reference channel, or a target lot behaving differently than the last one shows up in aggregate long before it shows up in any single curve. Feed what you learn back into the pipeline. When you catch a case where automation passed something it shouldn't have, or failed something it shouldn't have, that becomes a concrete requirement for the software team. Work closely with production (what actually happened in the lab), QC (systematic quality), and customer success (the relationship around the science). What We're Looking For MSc / PhD in biochemistry, biophysics, or a relevant field, plus 3+ years working hands-on with binding kinetics. Deep SPR and BLI experience. Biacore, Carterra, Octet, Gator: the platform matters less than the fact that you've run these assays, troubleshot them, and interpreted a lot of data from them. You've seen enough sensorgrams to know immediately when one is lying to you. Real fitting judgment. 1:1 vs. bivalent, when steady-state is appropriate and when it isn't, how mass transport and avidity distort a result. You can defend a Kd, or refuse to report one. Strong data analysis skills. Python or R, enough to pull a few hundred results out of a database, fit them, plot them, and find the outliers. This role generates too much data to review by hand. You use AI tools seriously. We run on Claude Code and similar tooling internally, and the people who get the most done here are the ones who reach for it by default: writing the analysis script, querying the database, building the one-off dashboard. You don't need to have done this before, but you need to want to. If your instinct is that real scientists do it by hand, this isn't the place. A self-starter who works independently. Nobody is going to hand you a prioritized queue every morning. You'll figure out what matters most, go do it, and tell us what you found. A fast learner. Our platform, our assays, and our software change constantly. You'll be handed unfamiliar tools and expected to be productive with them quickly. Startup speed, not academic pace. Experiments ship to paying customers on deadlines. Getting a good answer this week beats a perfect one next quarter, and we'd rather flag an ambiguous result than sit on it. Comfortable in front of customers. Many are PhD-level scientists at pharma companies and AI labs, and they will push back. You should enjoy that conversation rather than dread it. Able to explain hard things simply. Some customers are biophysicists. Some are ML researchers who have never touched a pipette. You adjust without condescending to either. Honest about uncertainty. When the data is ambiguous, you say so, to us and to the customer. We would much rather flag a weak result than ship a confident wrong one. Familiarity with other biophysical or functional assays (DSF, HPLC, plate-based activity assays) is a plus. Details Location: Lausanne, Switzerland (on-site) Type: Full time Start date: ASAP Application deadline We are reviewing applicants on a rolling basis. Find more English Speaking Jobs in Switzerland on Arbeitnow

Who we are Melotech is revolutionizing media and entertainment. We create art through technology for humans to enjoy. In just 24 months, our work has been heard, watched and loved for over 4 billion minutes worldwide. Founded by entrepreneur and investor Soheil Mirpour, we are backed by top VCs Cherry Ventures, Speedinvest and GFC, alongside world-class angels from firms such as Spotify, Blackstone and KKR. What you will do Melotech is scaling fast, and organic reach is one of the engines behind it. As Organic Growth Lead, you own that engine end to end: the creators, the formats, the trends and the numbers behind them. This is an organic growth role first, measured on how much reach every hour and every euro brings back. You work directly with our founders, our Growth Manager, product and data team. Your first job is to turn organic reach into a machine: find the creators and communities that move culture, turn what works into repeatable playbooks, and run more experiments in a week than most teams run in a quarter. On a typical day, your tasks may include: Creator network: finding and briefing creators at scale, from small accounts with loyal audiences to the ones that set trends, and keeping the ones that deliver Launches: getting our products in front of the communities where they can travel, at the right moment Trend spotting: catching formats and memes early and moving on them within days, not weeks Experiments: running many cheap tests every week, with clear rules for what wins and what gets killed, and turning the winners into playbooks the team can repeat New channels: finding places where attention is still cheap, from new communities to platforms nobody on the team is using yet Organic and paid together: working with our Growth Manager so organic winners get scaled with paid, and what paid learns feeds back into organic Measurement: knowing which number answers which question, for example what saves and shares tell you that views do not, and what each view really costs Tooling: building the trackers, scripts and automations you need, with platform data and AI tools as your daily coworkers Who you are We're looking for a hands-on organic operator who lives on the platforms, or a creative growth generalist who has made things travel. Either way, you have done it yourself, not through a team or an agency, and you can show the numbers. Typically, your profile will look like this: Interest: a strong interest in organic growth, creator marketing and social, ideally with hands-on experience from a startup, brand, app, creator agency or your own channels Breakouts you can show: you have made things go viral more than once, for a brand, an app or your own channels, and you can explain why it worked and what it cost Creator marketing at scale: you have run creator or UGC programs with many creators at once, negotiated the rates and written briefs that keep the content native; ideally you bring a network of creators, pages and managers Platform fluency: you know how TikTok, Instagram Reels and YouTube Shorts distribute content today, what makes a hook, and when a format is burning out Creativity with discipline: you come up with ideas nobody else would try, and then test them properly, with small budgets, kill rules and numbers Measurement: you track reach, engagement and cost per view in your own data, not in screenshots, and you judge every channel by what it brings back Data and tooling: you are fast in spreadsheets, ideally comfortable with SQL or Python, and you automate the boring parts with AI tools Pace: you thrive in a fast-paced and performance-oriented environment A big plus: you are or were a creator yourself, with a real following, and you're into media, entertainment, gaming or social What makes this exciting You own a lever the whole company feels. Every breakout you engineer shows up directly in how fast we can grow, at a fraction of what paid reach would cost. You're not a cog in the machine but the captain of your own ship, rewarded for performance and respected for leadership. Flat hierarchies mean that your voice matters, your ideas get implemented, and your impact is immediate. We pay competitive salaries and make you an owner of the business with equity. We work remotely to give you complete freedom over your life, while meeting regularly around the world for global offsites where we strategize, bond, and push boundaries together. What the process will look like We hire on a rolling basis. Earliest starting date is always ASAP. Once you begin our process, you can progress from start to offer within a week, depending on how quickly you can move through each stage: Initial interview: 30-minute introductory call, getting to know you Case interview: 90-minute case discussion, present and debate your skills Founder interview: 90-minute interview with our CEO, going deep on all topics Offer, contract signing and onboarding Note: As we are still in stealth, you will learn more about Melotech as you progress through the stages. By the end of the Founder interview, you will have a full grasp of our business and the details of your role. Find more English Speaking Jobs in Germany on Arbeitnow

OUR STORY TechInsights is the information Platform for the semiconductor industry. Regarded as the most trusted source of actionable, in-depth intelligence related to semiconductor innovation and surrounding markets, TechInsights' content informs decision makers and professionals whose success depends on accurate knowledge of the semiconductor industry—past, present, or future. Over 650 companies and 150,000 users access the TechInsights Platform, the world's largest vertically integrated collection of unmatched reverse engineering, teardown, and market intelligence in the semiconductor industry. This collection includes detailed circuit analysis, imagery, semiconductor process flows, device teardowns, illustrations, costing and pricing information, forecasts, market analysis, and expert commentary. TechInsights' customers include the most successful technology companies who rely on TechInsights' analysis to make informed business, design, and product decisions faster and with greater confidence. For more information, visit www.techinsights.com . WHY WORK WITH US Company-sponsored training and development opportunities Comprehensive benefits package (health, dental, vision, wellness, RRSP/401K Matching, annual fitness reimbursement) Flexible vacation policy Trusted device reimbursement program Community involvement opportunities through charitable alliances: https://www.techinsights.com/community-involvement Wellness resources and support I nclusive environment that prioritizes diversity, equity, and accessibility High-growth company driven by high performance Expected salary range: $61,540 - $65,160 CAD THE OPPORTUNITY: TechInsights is looking for a Sales Enablement Analyst to connect data with sales performance. You'll turn complex data into clear recommendations that help our sales team find high-value opportunities, decide where to focus, and close more deals. Reporting to the Director of Sales Enablement, you'll find warm leads in engagement data, research customers and market trends, and build the reports and dashboards leadership uses to steer the business. You'll use AI-powered analytics and research tools every day, and you'll help the sales team adopt them too. This is a good fit for an early-career analyst who wants to see their work tied directly to revenue. WHAT YOU'LL DO Data Analysis and Intelligence Find highly engaged contacts and active users within target accounts so the sales team can spot warm leads and prioritize outreach, using AI tools to uncover engagement patterns and build scoring models Research customers, competitors, and market trends, and give sellers timely news and insights that sharpen their strategies and pitches Analyze CRM and other data to evaluate sales performance, find ways to make the sales cycle more efficient, and use predictive analytics to forecast outcomes and recommend process improvements Reporting and Data Management Build and maintain reports and dashboards that track key sales metrics, including AI-generated insights and predictive analytics, so leadership can make informed decisions Keep data in Salesforce and other sales tools accurate and reliable through regular cleanup and AI-assisted validation Collaboration and Training Work closely with sales reps, sales leadership, and the Data Analytics team to understand what they need and deliver the right data and insights Help create training materials and best practices that support the sales team's use of data and adoption of AI tools WHAT YOU'LL BRING 1–3 years of experience in data analysis, business intelligence, or a related analytical role Advanced Excel skills, including pivot tables, VLOOKUP, INDEX/MATCH, and data modeling Experience with BI and visualization tools such as Power BI or Tableau Working knowledge of CRM systems, including pulling data and building reports (

Job Description JAMS Platform Engineer | Automation, Python, PowerShell, CI/CD Toronto, ON - Hybrid (2-3 Days WFO) Role Summary Seeking a hands-on engineer to drive the reliability, automation and modernization of the enterprise JAMS workload automation platform. The role combines JAMS platform expertise with software engineering, automation and AI capabilities. Key Responsibilities ? Engineer and administer JAMS Scheduler, including Scheduler, Agents, Executors, queues, resources and job configuration. ? Improve platform reliability, performance, capacity, resilience and observability. ? Lead complex troubleshooting, performance analysis and root-cause investigations. ? Build proactive monitoring and automated recovery for Scheduler, agents, queues and batch workflows. ? Develop automation using Python, PowerShell, APIs and scripting to reduce manual operational effort. ? Build and maintain engineering solutions using GitHub, including source control, code review and CI/CD practices. ? Drive migration from time-based to event-driven scheduling and simplify batch orchestration. ? Establish engineering standards for retries, long-running jobs, alerts, resources, agents and job design. ? Support upgrades, patching, regression testing, DR and production readiness. ? Partner with BatchOps, application and infrastructure teams to onboard and optimize workloads. ? Work with the JAMS vendor on product defects, performance and roadmap capabilities. ? Explore and implement practical AI use cases for operational analytics, anomaly detection, troubleshooting and automation. Technical Skills ? Strong hands-on JAMS Scheduler / workload automation experience ? Python and PowerShell ? GitHub / Git, CI/CD and software engineering practices ? REST APIs and systems integration ? SQL Server and database troubleshooting ? Windows Server and distributed application troubleshooting ? Monitoring, telemetry and performance engineering ? Exposure Requirements Java

?? Are you a cloud architect who can design a platform from a blank page and stay hands-on to build it? We're hiring a Cloud Solutions Architect to join an established Canadian software company whose production-monitoring and reporting software is used by packaged goods manufacturers. Its products currently run on customer servers; this role designs and builds the company's first cloud-hosted offering from the ground up, from collecting manufacturing data at customer sites to the reporting customers use. The role offers a greenfield product to own end-to-end, with the autonomy to make the architectural calls that shape it. ? Who You Are An architect who understands the full pipeline, from data collection at the source to customer-facing reporting, and how each part affects the others Someone who stays hands-on, building and deploying what they design rather than handing it off A self-starter who takes ownership in a small division where one person carries broad responsibility Comfortable making sound decisions before every requirement is fully defined A clear technical communicator who turns requirements into designs an engineering team can build ? Work Type Location: Oakville, ON (Hybrid, 2 days per week) Vacancy Type: This role is a newly created position Requirements ? What You'll Do Design the architecture for a new multi-tenant SaaS product, from data ingestion at customer sites through cloud-hosted services to customer-facing reporting Build, deploy, and maintain the cloud infrastructure and backend components hands-on while the engineering team is hired Design data pipelines that move operational data from on-premises manufacturing environments into the cloud reliably and securely Define patterns for multi-tenancy, customer data isolation, scalability, and security Evaluate cloud platforms and technology options, recommending where to start small and how to scale based on cost and long-term maintainability Learn how the company's existing on-premises product works and carry that knowledge into a lighter cloud offering Deliver a starting proposal for the platform and the roles needed to build it within the first three months Stand up CI/CD pipelines, Infrastructure-as-Code, and monitoring for the new platform Work with a small group of early customers to identify what the product needs first ? What We're Looking For 5+ years of experience as a cloud or solutions architect, designing systems and making the platform and technology calls behind them Experience designing and building cloud systems end to end, not just contributing to a single layer Experience with more than one major cloud platform, such as Microsoft Azure, AWS, or Google Cloud Experience building systems that ingest and process high volumes of operational data Significant experience designing and deploying databases at scale, including schema design, query performance, and storage trade-offs Strong grasp of distributed systems: data flow, service boundaries, failure modes, and resilience patterns Experience integrating cloud platforms with on-premises or operationally constrained environments Familiarity with SaaS patterns such as multi-tenancy, customer data isolation, and subscription-based delivery Experience producing cost analyses and platform recommendations that balance a small start against future growth Nice to have: Experience in industrial, IoT or manufacturing environments Experience with .NET and SQL Server Experien

ABOUT ODAIA ODAIA noun o·da·ia | 'oh-day-yeah An Ancient Greek word referring to "?d?," the word for song and the root of melody, harmony, and orchestra. We chose it deliberately: the best commercial intelligence doesn't just inform it orchestrates. ODAIA delivers AI-powered commercial intelligence for life sciences - unifying data, accelerating results, and helping commercial teams deepen engagement to enhance care for providers and patients. ODAIA's AI platform transforms complex data into predictive, personalized insights, enabling commercial leaders to understand their customers, anticipate prescribing behaviors, and make the informed, strategic decisions that bring therapies to patients faster. OUR MISSION Reducing patients' time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI. WHAT'S ON OFFER We're looking for a Senior Full-Stack Developer to join our engineering team! You'll work across the full stack to design, build, and ship features that directly impact how pharma commercial teams engage with healthcare providers. You'll collaborate closely with product, design, and ML engineering to solve complex problems and help bring our AI-powered platform to life. We expect this person to be an active voice in how we plan and build contributing to epics, shaping scope, and bringing engineering perspective into roadmap conversations from the start. WHAT YOU WILL DO Own significant product capabilities end-to-end from ambiguous problem framing through design, implementation, deployment, and iteration with minimal oversight Build accessible, data-rich user experiences with React and TypeScript that make complex commercial and healthcare insights clear and actionable Build and maintain real-time computation services (AWS Lambda) that serve scores and calculations on-demand to the customer-facing app, with an eye toward latency, reliability, and cost at scale Design and maintain reliable, scalable APIs and backend services connecting ODAIA's data, ML, analytics, and agentic capabilities to customer-facing products Work across our stack AWS, Kubernetes, Snowflake, PostgreSQL, and embedded analytical engines like DuckDB and DataFusion Use Claude Code and other coding AI agents across the development lifecycle, and help define how the team uses these tools effectively Lead technical design, code review, and architectural discussions, surfacing risks and trade-offs early Mentor other engineers and help shape team practices around testing, observability, and code quality Partner with engineering leadership on technical roadmap decisions and platform investments Please include a cover letter with your application outlining your relevant experience and interest in this role. You can describe a project you've worked on that relates to one of the "What You Bring" or "What You Will Do" points, and share how you'd expand on it here at ODAIA. What You Bring 6+ years of professional software development experience, with significant ownership across frontend and backend systems and at least one experience leading a project with limited supervision Deep experience with React and TypeScript, plus a strong grasp of browser fundamentals, state management, and frontend performance Extensive experience designing and operating APIs or backend services (Python, TypeScript, or similar) under real production load Strong engineering fundamentals modular design, testing, and maintainable code paired with the judgment to know when simplicity is right and when more rigor is needed Experience guiding coding AI agents effectively, reviewing generated output, and retaining full ownership of the final implementation A track record of mentoring engineers and raising the technical bar on a team A product-oriented mindset and clear communication with both technical and non-technical stakeholders WHAT WE OFFER Valu