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Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: * The work we do and the innovation we drive * Our values of share, care and dare * A workplace culture that fosters creativity, diversity and autonomy * Our borderless, global framework, which enables seamless collaboration The role Please note, we are only accepting applicants from the provinces of Ontario and Québec for this role. For Québec-based candidates, fluency in English is necessary because the position entails collaboration with teams based in the rest of Americas and occasionally in Europe. As a Product Manager at Valtech you are a strategic force on every engagement you touch. You don't just manage a product backlog, you shape the direction of the work, align the people around it, and ensure that both our clients and our teams are moving toward the same goal with clarity and conviction. You demonstrate a rare combination of product craft and leadership presence. You're as comfortable in a C-suite conversation as you are in a sprint review. You actively push the boundaries of how digital products are built, and you demonstrate genuine enthusiasm for how AI and emerging tooling can change what's possible for your team, for your clients, and for the quality of what gets shipped. You bring +10 YEARS of experience, a growth mindset and a drive to make a lasting impact. You will thrive in this role if you are: * A curious problem solver who challenges the status quo * A collaborator who values teamwork and knowledge-sharing * Excited by the intersection of technology, creativity and data * Experienced in Agile methodologies and consulting Role responsibilities * Define and own the product vision for your engagement by ensuring both the Valtech team and client stakeholders understand where the work is headed and why every decision connects back to that direction. * Steer client and internal teams toward shared alignment, proactively resolving tension between business priorities, delivery constraints, and user needs before they become blockers. * Build and sustain trusted relationships with senior client stakeholders, acting as a consistent, credible point of contact for product decisions, trade-offs, and strategic direction. * Lead discovery and delivery in tandem by maintaining a clear, prioritized roadmap that reflects user needs, client goals, and technical realities, while keeping the team focused on outcomes over outputs. * Champion the use of AI tooling across the SDLC, from accelerating research, analysis, and requirements work to improving the speed and quality of delivery cycles, and actively coach your team and clients on practical application. * Demonstrate executive presence in every client interaction by communicating with clarity, confidence, and authority whether you're presenting a roadmap, navigating scope conversations, or managing escalations. * Identify risks across delivery, stakeholder alignment, and commercial health; surface them early with proposed mitigations and lead the response when things need to move quickly. * Own or co-own the product roadmap, using insight from users, data, and client strategy to make confident prioritization decisions and articulate the rationale clearly to all levels of the organization. * Identify opportunities to extend or expand Valtech's engagement within your accounts, supporting commercial conversations with delivery credibility and strategic insight. * Develop more junior product and delivery team members through active mentorship, on-the-job coaching, and modeling what great looks like. * Contribute to the evolution of Valtech's Product Practice by sharing what you're learning about AI tooling, delivery approaches, and client engagement in ways that raise the bar across the team. Must have qualifications To be considered for this role, you must meet the following essential qualifications: * Demonstrable experience as a Senior Product Manager in a digital consultancy or agency environment, with a track record of leading product delivery on complex client engagements. * Proven ability to align cross-functional teams and senior client stakeholders around a shared product direction by navigating competing priorities, ambiguity, and organizational complexity with confidence. * Strong executive presence and communication skills. Able to frame problems, present recommendations, and lead difficult conversations with clarity and credibility at all levels, from delivery teams to C-suite. * Hands-on experience leveraging AI tools to accelerate the SDLC. Areas of experience may include, but are not limited to, AI-assisted synthesis, requirements generation, prototyping, documentation, delivery reporting, development, and the ability to introduce these practices meaningfully to teams and clients. * Genuine curiosity about how AI and emerging technology can be applied to product work. You follow developments in the space, experiment with new tools, and bring informed perspectives on what's practical and valuable. * Experience owning product roadmaps and backlogs end-to-end, with a sharp instinct for prioritization and a clear methodology for making and communicating trade-off decisions. * Solid commercial awareness. Understanding of SOW management, budget health, and how delivery decisions connect to revenue and margin outcomes for Valtech and the client. * Experience in Agile delivery environments, with the ability to adapt frameworks to the needs of the engagement rather than apply them rigidly. * A track record of developing others, whether through formal mentorship, line management, or leading by example in a team environment. * Being a natural collaborator and dot-connector, bringing people into alignment through clarity, empathy, and conviction rather than authority. * Having strong intellectual curiosity, particularly about the rapidly evolving AI landscape and its implications for how digital products are built and managed. * Being a confident and polished communicator, adapting communication style to different audiences and operating comfortably in both technical discussions with engineers and board-level strategy conversations. * Having strong commercial awareness and strategic thinking, with the ability to identify opportunities within client relationships and help develop them responsibly. * Leading by example on engagements, setting a high bar for quality, professionalism, and creative ambition in how work is delivered. * Focusing on outcomes over outputs, prioritizing the real impact and value of the work rather than simply completing deliverables. * Showing strong initiative and a clear bias toward action, balanced with the judgment to pause, align stakeholders, and move forward with clarity when needed. Nice to have qualifications * French language proficiency is required, including both conversational and written communication skills. The benefits This is a full-time position based in Montreal/Toronto. The offered salary range is 100,000 - 145,000 CAD annually, depending on experience and location. Valtech offers a comprehensive benefits package effective after three months of continuous service: * A comprehensive insurance plan, where you can choose the module that best suits your needs—Gold, Silver, or Bronze. The employer may contribute up to 80% of your coverage depending on the selected module. This plan includes short- and long-term disability coverage. * Dialogue via Sun Life provides virtual healthcare services, allowing you to consult with a healthcare professional for emergencies, prescription renewals, and more. You also have access to the Employee and Family Assistance Program, as well as a complete mental health support program. * A $500 Personal Spending Account, which can be used for healthcare reimbursements, gym memberships, public transit passes, office supplies, or contributions to your RRSP through Valtech. * A retirement plan where Valtech will match 100% of your RRSP contributions through a Deferred Profit Sharing Plan (DPSP), up to a maximum of 4%. You can start contributing to your RRSP immediately, and to the DPSP after 3 months. The vesting of the DPSP will be after a 24 months of service. * Access to a flexible vacation under Valtech's policy to support your work-life balance, with 5 days available during your probation period and a prorated amount calculated for the remainder of the year. * Personal Technology Reimbursement – $30/month for every employee-offered on day 1. * We close during the winter holidays and offer flexible scheduling throughout the year, so you can enjoy those sunny Friday afternoons—provided your weekly hours are completed. Your application process Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses. We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what’s next? Join us.
This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. Our Payment Solutions team is the engine behind this, processing billions of transactions while empowering businesses to create seamless payment experiences. As Adyen and our merchants scale globally, the complexity and volume of our operational knowledge are growing exponentially. Senior AI Engineer - Payments To position our Payments organization at the technological forefront, we are establishing a GenAI team focused on identifying high-impact use cases for automation through agentic capabilities. As a Senior AI Engineer, you will undertake some of the most technically demanding work in applied AI: designing agents that reason over complex, multi-step tasks, building the infrastructure to ensure production-grade reliability, and shaping how humans and AI collaborate at scale within a global payments company. This is not a narrow research role. You will take full ownership of your work, from early research through deployed production systems, influence the team's technical direction, and act as a force multiplier for the broader AI organization, including contributing to custom model development for structured financial data, and working toward our longer-term ambition of defining how humans and AI collaborate at scale across the company. What you’ll do: * Discover and Build: You will be an explorer within Adyen, proactively engaging with product and engineering teams to uncover their most critical challenges. You won't wait for instructions; you'll find high-impact opportunities and rapidly design and build AI prototypes (MVPs) to demonstrate value. * Develop Strategic AI Products: You will own the end-to-end development of bespoke AI tools that solve problems unique to Adyen's scale. Whether it's optimizing merchant experience, enhancing pricing models, or improving internal workflows, you will build intelligent solutions. * Own Evaluation and Benchmarking: Define and lead the evaluation strategy for the agentic systems and LLMs your team builds and deploys. Design internal benchmarks grounded in real domain complexity, probing for genuine capabilities, edge cases, and failure modes that standard metrics miss. Build reusable evaluation infrastructure that is embedded in the development process, not bolted on after the fact. * Provide AI Expertise Across the Organization: Serve as a technical resource for AI initiatives across Adyen - evaluating agentic frameworks, retrieval and search strategies, or agent tool-use approaches across partner teams. Surface connections across initiatives and help teams avoid duplicating work or converging on the wrong approach. * Raise the Bar: Set engineering standards for the team and company. Provide mentorship through problem decomposition, research methodology, and code review. Champion reproducibility, documentation, and rigorous evaluation practices across the AI organization. Who you are: * You have 7+ years of hands-on experience in applied AI/ML research or engineering, with a clear track record of shipping AI systems, including agentic or LLM-powered systems, in production environments. * You have deep expertise in language models and Generative AI, with hands-on depth across several of: architecture, post-training (fine-tuning, RLHF), inference optimization, context engineering (RAG), and failure modes at scale. * You have proven experience designing and operating agentic systems at scale, multi-agent orchestration, tool use, memory and context management, state handling for long-running workflows, and human-in-the-loop design. You understand what separates production agents from research prototypes. * You are rigorous and systematic about evaluation. You have designed evaluation frameworks or internal benchmarks that go beyond standard metrics. You understand the failure modes of LLM-as-judge approaches and know how to measure what actually matters for a given system and use-case. * You have a strong foundation in classical machine learning: supervised learning, ensemble methods, optimization, probabilistic modeling, and statistics. You reach for the appropriate tool for the problem. * You write clean, well-structured, production-ready code, primarily Python, and you hold research code to an engineering standard. * You have hands-on experience with at least one production-grade agentic framework. Nice to Have (tell us about them!) * Familiarity with financial data, payments, fraud detection, or risk systems. * Track record of external visibility: publications, conference presentations, or open-source contributions. * Experience with observability and evaluation tooling. * Familiarity with MLOps and model deployment pipelines in large-scale environments. Our Diversity, Equity and Inclusion commitments Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.
WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM As a leading player in the internet economy, Stripe has a responsibility to protect itself, our users, end customers, and the broader financial ecosystem from harm. Fraud Operations proactively reduces fraud, making it difficult and unprofitable for fraudsters to carry out attacks through Stripe. We build scalable, high-judgement investigation and review operations while minimizing user friction. We work across products, customer segments, and markets and serve as a core pillar of Stripe’s risk strategy. WHAT YOU’LL DO Stripe is hiring a Team Lead to develop a team of Operations Associates (OAs) within Fraud Operations in Bangalore. You will be responsible for the day-to-day operational execution and performance of your workflow(s), including queue health, SLA attainment, and decision quality. This role requires staying close to the work, remaining hands-on in complex casework (QA and targeted production), modeling high-quality decisioning, providing real-time coaching, and serving as the first-line escalation owner. You will also drive unit-level operational excellence. To be a fit, you will have a coaching mindset, proven ability to communicate at different levels, a track record of driving operational performance, and a passion for inspiring a team to deliver outstanding results. RESPONSIBILITIES * Manage a team of Operations Associates; set clear expectations, coach performance, and build a high-judgement culture rooted in strong decisioning and customer empathy. * Own individual performance metrics of Operations Associates and ensure the team consistently meets throughput, SLA, and quality targets. * Perform specific unit-level execution, including: defining, clarifying, and evolving core processes, leading team meetings, and performing root cause analyses for defects. * Support team operations including hiring, onboarding, scheduling, and intra-day coverage planning to meet SLAs; provide interview feedback and help maintain a high hiring bar. * Maintain hands-on casework at a level that enables effective coaching and escalation coverage, without compromising core people-lead responsibilities and team performance management. * Own and evolve SOPs and decision frameworks for your workflow(s); drive process adherence and consistency through clear guidance, change management, and reinforcement mechanisms. * Represent your workflow(s) in cross-team forums, surface operational pain points, propose improvements, support rollouts, and drive adoption within your team. * Serve as the primary escalation point for complex or time-sensitive cases within your unit, in partnership with global fraud stakeholders * Drive process adherence and consistency across your team through robust quality programs and calibration. * Participate in leader development and represent Bangalore workflows in global enablement sessions/onsites as needed. WHO YOU ARE You are a hands-on people leader and operational owner who thrives in a fast-paced fraud investigation environment. You run a strong performance cadence through clear metrics, coaching, and rigorous decision quality. You can take ambiguous operational problems, use data to diagnose root causes, and drive changes that stick, through influence, alignment, and follow-through, not just instruction. You bring sound judgment, calm execution under pressure, and a bias toward data-backed solutions and measurable improvements in both fraud outcomes and user experience. MINIMUM REQUIREMENTS * Experience leading fraud, risk, trust & safety, or investigations operations in a high-scale environment. * Proven ability to manage a team of frontline operations associates and own their individual performance/productivity. * Experience with payments, risk, compliance, or financial industry operations. * Proven ability to define and operationalize team-level metrics (e.g., accuracy/quality, SLAs, throughput) and use data to drive team priorities. * Strong operational background in new process launches, service delivery, and building operating models at the unit/team level. * Excellent written and verbal communication skills, including presenting operational updates and representing the team in escalations in English. * Skill and credibility doing the core work of a user facing team with a high bar for quality, and a willingness to lead by example. * At least 3+ years of direct people management experience; this includes handling performance management and proactively coach/mentor individuals. PREFERRED QUALIFICATIONS * Strong fraud domain depth across investigation workflows, risk vectors, and decision frameworks * Experience in optimizing unit-level fraud review operations through process redesign and tooling improvements. * Experience with payments risk (CNP/card testing, ATO, merchant fraud, transaction fraud) and familiarity with how upstream detection and downstream enforcement interact. * Strong analytics proficiency (comfort with data to track team performance) and comfort partnering with data science/engineering.
ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies from the world's largest enterprises to the most ambitious startups use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM The Finance & Strategy (F&S) team serves as the strategic engine and financial steward of Stripe's businesses, connecting financial rigour with business judgment to drive sound capital allocation and accountability across the company. The Group Business Finance & Strategy team partners with some of Stripe's largest internal business organizations, driving planning, investment prioritization, and operational discipline across headcount and non-headcount spend. The team is responsible for financial reporting, business performance management, and driving the planning and forecasting processes that enable sound decision-making at the most senior levels of the organization. This role sits within F&S Bengaluru, a high-impact team whose mission is to enable F&S to "Grow for Free", driving process efficiency, centralization, and resource optimization so that senior F&S partners can focus on higher-order strategic work. ABOUT THE ROLE We are hiring a Financial Analyst for Group Business F&S to build, standardize, and scale the reporting, planning, and process excellence functions that support Group Business Finance & Strategy. This role covers the full spectrum of Group Business F&S financial operations including headcount reporting and analytics, month end close accruals, opex reporting and BvA, business review preparation, and forward-looking planning cycles. The immediate and primary mandate is to establish a clean, consistent, and automated reporting foundation across Group Business F&S, bringing discipline and rigor to how financial and workforce data is tracked, packaged, and presented to F&S leadership. This is a strong FP&A and Corporate Finance profile. You thrive in building structured processes from the ground up, have a sharp eye for data quality, and bring a standardization and automation-first mindset to everything you touch. You are comfortable working independently, managing a large volume of recurring deliverables with accuracy and timeliness, and continuously improving the processes behind them. As you establish the reporting foundation, you will have the opportunity to take on broader scope including owning forecast line items, driving planning cycle inputs, and contributing to more strategic finance work within Group Business F&S. WHAT YOU'LL DO REPORTING AND ANALYTICS: * Own end-to-end delivery of the monthly and quarterly reporting packages for Group Business F&S, including headcount actuals, opex BvA (budget vs. actual), forecast variance commentary, and trend analysis for MBRs, RTBRs, and board-level reviews * Design, build, and maintain standardized dashboards and data packs that give F&S leadership a clear, consistent, and audit-ready view of Group Business F&S financial and workforce health across planning orgs, cost centers, functions, and geographies * Own headcount reporting and analytics as a core component of the Group Business F&S reporting suite, tracking HC actuals, variances, and trends alongside broader financial metrics * Establish a single source of truth for Group Business F&S data by driving cross-system integrity across Workday, planning systems, and Oracle, defining data quality standards and owning resolution of discrepancies * Translate financial and workforce data into clear, concise narratives that explain variances, surface risks, and connect business trends to financial outcomes for senior leaders * Automate and streamline recurring reporting workflows, eliminating manual steps and building for scale and consistency PLANNING AND FORECASTING: STRATEGIC OWNERSHIP * Support the annual budget and quarterly forecast processes for Group Business F&S, maintaining and updating financial and HC models by planning org and cost center in Anaplan or any other enterprise planning system * Over time, take ownership of specific forecast line items within Group Business F&S, building bottoms-up models that incorporate headcount, opex, requisitions, backfill decisions, attrition assumptions, and hire-ahead activity * Build scenario models to support F&S leadership in assessing the financial and operational impact of business and workforce decisions across Group Business F&S PROCESS EXCELLENCE AND STANDARDIZATION * Lead the documentation and standardization of reporting and planning processes across Group Business F&S, building SOPs, data dictionaries, and process playbooks that ensure consistency, continuity, and auditability * Identify inefficiencies across reporting and planning workflows and drive automation initiatives that reduce cycle time and improve output quality * Champion process improvement opportunities within F&S Bengaluru, bringing proposals to F&S leadership for prioritization and resourcing * Mentor and guide junior analysts in F&S Bengaluru on reporting standards, analytical rigor, and process discipline WHO YOU ARE We're looking for someone who meets the minimum requirements listed below. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 7–14 years of progressive experience in FP&A, Corporate Finance, or financial analysis, with meaningful hands-on experience in financial reporting, planning, and process standardization * Bachelor's degree in Finance, Accounting, Economics, Business, or a related field * Strong FP&A fundamentals: you have owned reporting cycles, built and maintained financial models, and managed budget and forecast processes with precision and without supervision * Proven track record of building and standardizing reporting processes, with a demonstrated ability to bring structure, consistency, and automation to previously manual or fragmented workflows * Experience in headcount reporting and workforce analytics as part of a broader FP&A or Corporate Finance remit * Command of enterprise planning systems such as Anaplan or any equivalent tool for financial and headcount planning; working knowledge of Workday for position and people data is an advantage * Advanced Excel and Google Sheets skills, including integrated model design, scenario modeling, and large-dataset manipulation * Demonstrated ability to translate complex financial and workforce data into clear, concise narratives for senior leaders * Strong process orientation with a history of building scalable, structured processes in ambiguous or resource-constrained environments * High attention to detail with the discipline to maintain accuracy across high-volume, recurring deliverables under tight deadlines * Excellent written and verbal communication skills with the ability to work effectively across time zones and with US-based counterparts PREFERRED QUALIFICATIONS * Experience in a Finance & Strategy, FP&A, or Corporate Finance function at a high-growth technology or fintech company * Hands-on experience building planning models in Anaplan or any other enterprise planning system (model design and configuration, not just data entry) * Proficiency in SQL or data visualization tools (Tableau, Looker, Hubble, or similar) for building self-service reporting and analytics * Familiarity with payroll-to-finance reconciliation, headcount-to-opex bridging, and how HC flows into the P&L * Experience leading process standardization or automation initiatives within an FP&A or centralized finance team * Exposure to company-wide planning processes including annual planning cycles, board reporting, and forecast submissions * MBA or professional certifications (CA, CMA, CFA, CPA, CPIM etc.)
WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM The Product Security Data Platforms team is a newly established engineering team within Stripe Security. Our mission is to build the foundational infrastructure that provides our users with unprecedented visibility into the security posture of their Stripe integration. While Stripe is renowned for industry-leading payment protection, we are expanding our focus to provide a comprehensive security telemetry platform that helps businesses protect their entire digital ecosystem on Stripe. As a founding member of this team, you'll architect a large-scale customer-facing security data pipeline and presentation layer. Much like modern security observability platforms and data lakes that have transformed cloud infrastructure, we're building an API-first service that transforms massive streams of behavioral data into actionable security intelligence. This team operates at the intersection of high-throughput data engineering and cybersecurity, creating the systems that will allow the world’s most sophisticated companies to monitor, detect, and respond to threats in real time. WHAT YOU’LL DO As a Senior Software Engineer on this founding team, you'll lead the technical design and implementation of our core security data pipelines. You'll define how we capture security signals, process them at scale, and deliver them to our users through robust, developer-friendly interfaces. If you have security domain knowledge, you'll have opportunities to help shape product vision. RESPONSIBILITIES * Architect scalable foundations. Design and implement a highly available, low-latency pipeline capable of processing and augmenting millions of events per second into structured security telemetry. * Build API-first products. Develop the core services and streaming APIs that enable enterprise customers to seamlessly ingest security signals into their own internal security operations centers and analytics tools. * Engineer security signals. Partner with security researchers and threat detection experts to build the logic that identifies anomalous behavior and surfaces high-fidelity security insights. * Define technical strategy. Lead the technical roadmap for the platform, making critical decisions on data modeling, storage strategies, and the abstraction layers that will support future security products. * Drive engineering excellence. As a senior leader, you'll set the bar for code quality, system resilience, and operational maturity for a product that requires 99.99%+ availability. * Collaborate cross-functionally. Work closely with the Stripe core platform and data teams to leverage global infrastructure while ensuring security data remains isolated and protected. WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 8+ years of professional software development experience, with a history of shipping and maintaining complex, large-scale systems * Expertise in data engineering and distributed systems, with deep experience building and operating high-throughput data pipelines (e.g., Kafka, Flink, Spark, or similar streaming technologies) * Strong programming fundamentals, significant experience in languages like Java, C++, or Rust * System design leadership, a proven track record of designing robust, scalable architectures and leading cross-team technical initiatives from conception to launch * Operational mindset, experience maintaining business-critical services with high availability requirements, on-call rotation, and a strong focus on observability and debugging * Communication and collaboration skills, excellent technical writing skills for drafting design documents and the ability to mentor other engineers while collaborating with non-technical stakeholders PREFERRED QUALIFICATIONS * Security domain knowledge, with prior experience building security analytics, threat detection systems, or observability platforms. * Platform engineering with experience building "as-a-service" infrastructure where the primary users are other engineers or external developers. * Cloud native infrastructure, with prior experience with AWS, Kubernetes, and infrastructure-as-code (Terraform). * Product intuition and a desire to work on "0-to-1" initiatives where you help define the product requirements and user experience alongside engineering. * Front-end or full stack experience is a plus, particularly with React or TypeScript.
ALTEN Sweden is now looking for several Design Engineers with expertise in Body in White (BIW) and sheet metal design to join an exciting project in Gothenburg. You will work at the forefront of automotive innovation, contributing to the development of next-generation vehicles by designing and optimizing body structures, primarily focusing on door structures (DIW), and Hang-on-Parts (HOP). In this role, you’ll use advanced CAD tools like Catia V5/V6 to create high-quality designs while collaborating with cross-functional teams to ensure manufacturability and performance. About the role As a Design Engineer, you will play a key role in shaping the future of vehicle design. Your responsibilities will include: Designing and developing body components using Catia V5, ensuring precision and innovation. Working with Teamcenter for seamless product data management and team collaboration. Optimizing sheet metal structures for weight reduction, cost efficiency, and durability. Collaborating with manufacturing and quality teams to ensure designs meet production standards. Contributing to structural analysis (FEA) and tolerance setting (GD&T) to enhance performance and safety. Who You Are We’re seeking a skilled engineer with: Proven experience in BIW (Body in White) and sheet metal design. Strong proficiency in Catia V5 for 3D modeling and surface design. Familiarity with Teamcenter or similar PLM systems. Knowledge of Door Strucutres. A background in the automotive industry. Have an education in mechanical engineering or equivalent experience. Local OEM experience About ALTEN ALTEN is one of Europe’s largest consulting companies within Engineering, IT and Life Sciences with over 54,000 employees in more than 30 countries. We’re a global actor with a local presence with 1400 committed colleagues in offices from Lund in the south to Skellefteå in the north. Our engineers carry out complex and highly technical projects throughout the product development chain of the most prestigious companies in sectors such as Automotive, Aerospace & Defense, Energy, Manufacturing, Public Sector and Life Sciences. For four years in a row, ALTEN has been named one of Sweden’s most attractive employers by Karriärföretagen, an award for employers that offer unique career and development opportunities.
Food Scientist – Food Research Laboratory About PureFize Technologies AB PureFize Technologies AB develops a patented, mercury-free broad-spectrum UV technology that uses optimized UV wavelengths to reduce microbial contamination on food surfaces, water, and materials. In food applications, the technology improves microbiological safety, extends shelf life, and helps preserve product quality while reducing the need for chemical disinfectants. Position Overview We are seeking a highly motivated Food Scientist to join our Food Research Laboratory. The successful candidate will contribute to the development and validation of innovative UV-based food decontamination technologies by planning, executing, analyzing, and reporting laboratory studies focused on food safety, quality, and shelf-life. The position involves research on a wide range of food matrices, including fresh produce, dry seeds, grains, and food-grade powders, with emphasis on microbiological safety, physicochemical quality, and sensory properties. Key Responsibilities Plan and execute laboratory experiments to evaluate the effectiveness of broad-spectrum UV technology on food products. Perform microbiological, physicochemical, and sensory analyses to assess food safety and quality. Optimize and validate treatment conditions for different food materials. Design experiments and perform statistical analyses to interpret research results. Develop technical reports and present experimental findings. Model and evaluate food shelf-life based on microbiological and quality data. Maintain laboratory documentation and ensure compliance with ISO/IEC 17025 quality requirements. Collaborate with multidisciplinary teams in research and product development. Essential Qualifications MSc or PhD in Food Science, Food Technology, Microbiology, or related discipline. Strong experience in planning, executing, and reporting microbiological, physicochemical, and sensory analyses for quality assessment of fresh produce, grains, seeds, and food-grade powders. Experience with experimental design and multivariate statistical analysis. Knowledge of shelf-life studies and predictive modeling. 3-5 years’ experience working in food laboratories operating under ISO/IEC 17025 requirements. Strong scientific writing and data interpretation skills. Excellent organizational and problem-solving abilities. Good written and spoken English. Desirable Qualifications Experience with food preservation or non-thermal processing technologies (UV, light, cold plasma, etc.). Knowledge of food microbiology, HACCP, and food safety regulations. Experience using statistical software such as Minitab, R, JMP, or similar. Ability to work independently while contributing effectively within a multidisciplinary team. Organized, proactive, and detail-oriented with excellent teamwork and communication skills. Interested? This recruitment goes through our consultant Arne Dahlberg. Please apply with your resume to adahlberg@peopleservices4u.com
WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM The Product Security Data Platforms team is a newly established engineering team within Stripe Security. Our mission is to build the foundational infrastructure that provides our users with unprecedented visibility into the security posture of their Stripe integration. While Stripe is renowned for industry-leading payment protection, we are expanding our focus to provide a comprehensive security telemetry platform that helps businesses protect their entire digital ecosystem on Stripe. You'll contribute to a large-scale customer-facing security data pipeline and presentation layer. Much like modern security observability platforms and data lakes that have transformed cloud infrastructure, we're building an API-first service that transforms massive streams of behavioral data into actionable security intelligence. This team operates at the intersection of high-throughput data engineering and cybersecurity, creating the systems that will allow the world's most sophisticated companies to monitor, detect, and respond to threats in real time. WHAT YOU’LL DO As a Software Engineer on this founding team, you'll contribute to the technical design and implementation of our core security data pipelines. You'll help build the systems that capture security signals, process them at scale, and deliver them to users through robust, developer-friendly interfaces. This is an opportunity to grow quickly, make a meaningful impact from day one, and help shape a product that directly improves security outcomes for businesses worldwide. RESPONSIBILITIES * Build scalable foundations. Implement components of a highly available, low-latency pipeline capable of processing and augmenting millions of events per second into structured security telemetry * Build API-first products. Develop core services and streaming APIs that enable enterprise customers to ingest security signals into their internal security operations centers and analytics tools * Engineer security signals. Partner with security researchers and threat detection experts to build logic that identifies anomalous behavior and surfaces high-fidelity security insights * Contribute to technical design. Participate in discussions on data modeling, storage strategies, and the abstraction layers that will support future security products * Raise the bar for quality. Write clean, well-tested code and contribute to a culture of code quality, system resilience, and operational maturity for a product that requires 99.99%+ availability * Collaborate cross-functionally. Work closely with Stripe's core platform and data teams to leverage global infrastructure while ensuring security data remains isolated and protected WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 2+ years of professional software development experience, with a history of shipping and maintaining complex, large-scale systems * Expertise in data engineering and distributed systems, with deep experience building and operating high-throughput data pipelines (e.g., Kafka, Flink, Spark, or similar streaming technologies) * Strong programming fundamentals, significant experience in languages like Java, C++, or Rust * Operational mindset, experience maintaining business-critical services with high availability requirements, on-call rotation, and a strong focus on observability and debugging * Communication and collaboration skills, excellent technical writing skills for drafting design documents and the ability to mentor other engineers while collaborating with non-technical stakeholders PREFERRED QUALIFICATIONS * Experience with or interest in security analytics, threat detection systems, or observability platforms * Experience building infrastructure or services used by other engineers or external developers * Familiarity with cloud-native infrastructure tools such as AWS, Kubernetes, or Terraform * Product intuition and a desire to work on "0-to-1" initiatives where you help define requirements and user experience alongside engineering * Front-end or full-stack experience, particularly with React or TypeScript
THIS IS ADYEN Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. AI RESEARCH Adyen is building a world-class AI team to redefine what intelligent systems can do in financial technology. As a Senior AI Research Engineer, you will take on some of the most technically demanding work in applied AI: designing agents that reason over complex, multi-step tasks; building the evaluation infrastructure that makes those systems trustworthy in production; and shaping how humans and AI collaborate at scale within a global payments company. This is not a narrow research role. You will take full ownership of your work, from early research through deployed production systems, influence the team's technical direction, and act as a force multiplier for the broader AI organization — including contributing to custom model development for structured financial data, and working toward our longer-term ambition of defining how humans and AI collaborate at scale across the company. WHAT YOU'LL DO * Design and Deploy AI Agents for Complex Tasks: Lead the research, design, and deployment of AI agents built for long-horizon, multi-step tasks in real-world financial contexts — including data analysis pipelines, operational workflows, and integrity risk scenarios. Architect robust agentic systems covering multi-agent orchestration, tool dispatch, context and memory management, and error recovery for long-running workflows. Design human-in-the-loop mechanisms that define when agents act autonomously, when they surface uncertainty, and when they escalate or defer to humans. * Own Evaluation and Benchmarking: Define and lead the evaluation strategy for the agentic systems and LLMs your team builds and deploys. Design internal benchmarks grounded in real domain complexity — probing for genuine capabilities, edge cases, and failure modes that standard metrics miss. Build reusable evaluation infrastructure that is embedded in the development process, not bolted on after the fact. * Provide AI Expertise Across the Organization: Serve as a technical resource for AI initiatives across Adyen — evaluating agentic frameworks, retrieval and search strategies, or agent tool-use approaches across partner teams. Surface connections across initiatives and help teams avoid duplicating work or converging on the wrong approach. * Raise the Bar: Set engineering standards for the team and company. Provide mentorship through problem decomposition, research methodology, and code review. Champion reproducibility, documentation, and rigorous evaluation practices across the AI organization. WHO YOU ARE * You have 6+ years of hands-on experience in applied AI/ML research or engineering, with a clear track record of shipping AI systems, including agentic or LLM-powered systems, in production environments. * You have deep expertise in language models and Generative AI, with hands-on depth across several of: architecture, post-training (fine-tuning, RLHF), inference optimization, context engineering, and failure modes at scale. * You have proven experience designing and operating agentic systems at scale, multi-agent orchestration, tool use, memory and context management, state handling for long-running workflows, and human-in-the-loop design. You understand what separates production agents from research prototypes. * You are rigorous and systematic about evaluation. You have designed evaluation frameworks or internal benchmarks that go beyond standard metrics. You understand the failure modes of LLM-as-judge approaches and know how to measure what actually matters for a given system and use-case. * You have a strong foundation in classical machine learning: supervised learning, ensemble methods, optimization, probabilistic modeling, and statistics. You reach for the appropriate tool for the problem. * You write clean, well-structured, production-ready code, primarily Python, and you hold research code to an engineering standard. * You have hands-on experience with at least one production-grade agentic framework. NICE TO HAVE (TELL US ABOUT THEM!) * Any experience with tabular deep learning architectures * Familiarity with financial data, payments, fraud detection, or risk systems. * Track record of external visibility: publications, conference presentations, or open-source contributions. * Experience with observability and evaluation tooling. * Familiarity with MLOps and model deployment pipelines in large-scale environments. Our Diversity, Equity and Inclusion commitments Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. This role is based out of our Madrid office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles. We'll cover your relocation if you want to live in our wonderful, sunny, and bright city.
WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM Bridge is creating an entirely new payments platform, built with stablecoins, to simplify global money movement. Bridge enables faster, cheaper payments and borderless access to dollars via stablecoins. Through our APIs, businesses can send and receive funds across borders faster and cheaper than SWIFT and other fiat-only rails. Our virtual accounts enable international consumers and businesses to easily access, store, and spend US dollars. Our payouts infrastructure enables platforms to disburse USD to anyone globally. We believe many trillions of dollars will move and settle through stablecoin payment rails. Bridge is pulling this future forward. The Stripe Finance and Strategy team is an integral thought partner to Stripe's core functional leaders. We bring understanding and predictability to Stripe's bottom-line financials. We work cross-functionally across many surfaces at Stripe and help steward Stripe's resource investments to improve the durability of our long-term financial performance. This role will partner closely with Bridge, a small team of people experienced in building financial infrastructure at leading companies. WHAT YOU'LL DO We are looking for a Strategic Finance Partner who combines the rigor of a trained financial analyst with the technical self-sufficiency to answer complex business questions independently. This is a high-ownership, high-exposure role. You will own business forecasting, pricing analytics, and cross-functional partnerships that drive how Bridge allocates capital, sets prices, and grows. This is an early and consequential moment to join the finance function. You will be among the first finance hires in the organization and will have broad exposure across Bridge and Stripe leadership. RESPONSIBILITIES * Forecasting and Reporting Own full P&L reporting, forecasting, and budgeting, with an emphasis on revenue, unit economics, and the stablecoin payment flows that drive Bridge's business * Pricing and Deal Modeling Lead pricing strategy across Bridge's product suite. Build models to evaluate pricing for enterprise deals, key accounts, and new product initiatives. Translate complex stablecoin transaction economics into pricing decisions that are both competitive and financially sound * Strategic Financial Analysis Partner with business leaders across Bridge to analyze the financial impact of strategic initiatives, understand their business questions, and deliver analytical frameworks that drive real decisions * Metrics and Analytics Partner with Bridge's data science team to define, build, and maintain the key business and operational metrics that measure Bridge's growth and efficiency. You own the financial lens on this work * Data and SQL Ownership Write and maintain complex SQL queries and views to support P&L reporting, forecasting, and ad-hoc financial analysis. Work with engineering to ensure accuracy of financial metrics. Bridge has built strong infrastructure in Metabase and Databricks — you leverage it and go beyond it independently, without filing tickets and waiting * Stripe Finance Partnership Integrate Bridge financials into broader Stripe company financial reporting and forecasting. Evolve the finance partnership and reporting structure as Bridge and Stripe develop joint product initiatives WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 7+ years in strategic finance, FP&A, investment banking, private equity, consulting, or analytical business operations, with a Bachelor's degree in a related field. We care about the rigor of your training, not the specific industry. * Strong financial modeling fundamentals — you build 3-statement models, unit economics frameworks, and cohort analyses from a blank spreadsheet and understand the assumptions behind the numbers, not just the formulas. * Genuine SQL proficiency — you write your own queries when the dashboard doesn't have what you need, with experience building data tables in Databricks or similar environments as a strong plus * A demonstrated track record of cross-functional partnership with non-finance leaders — understanding the actual problems they're trying to solve and building something that improves their decision-making — and the intellectual curiosity and drive to deeply understand how the business works, including the settlement flows, transaction economics, and cross-border mechanics * Self-directed and organized, with strong communication skills, high performance under tight timelines, and a roll-up-your-sleeves, get-it-done mentality that fits a small team building something new PREFERRED QUALIFICATIONS * Prior experience in fintech, payments, or crypto — particularly in transaction-based or stablecoin business models * Familiarity with Databricks, dbt, Looker, or Metabase * Experience in a first-finance-hire or early-stage company context * Exposure to enterprise deal structuring or pricing in a payments or API-product business
WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM The Seller Systems team is dedicated to empowering sellers and stakeholders at Stripe by streamlining and optimizing the selling process. This is a top priority for Stripe as it expands its enterprise revenue globally. We build tools and systems to make the end-to-end selling process across initial contact with customers, deal modeling, negotiation, approvals, contracting, onboarding, and activation absolutely world class. We treat this area as an engineering problem from first principles, implemented with a hybrid architecture of first-party-developed custom Stripe components interoperating with third-party standard business components. Our vision is to be able to offer a single plane of glass experience to our Sellers at Stripe, to allow them to leverage AI through workflows that allow them to minimize overhead and increase their time on increasingly efficient selling. WHAT YOU'LL DO As a Staff Engineer in Seller Systems, you'll be a technical anchor for one of Stripe's highest-priority engineering investments—building the infrastructure that powers how Stripe sells to and wins customers globally. You'll own and drive multi-year technical strategy across a complex hybrid architecture of first-party Stripe systems and third-party platforms (including Salesforce), while directly shaping the seller experience across the full quote-to-cash lifecycle. You'll set the architectural direction and be a multiplier across teams—owning end-to-end technical decisions that span seller-facing workflows, core platform services, and integrations with Stripe's financial infrastructure. RESPONSIBILITIES • Architect and build scalable, reliable systems that underpin Stripe's sales motion, including APIs and services that support deal creation and modeling, multi-party approval workflows, contract generation, and merchant onboarding at global scale • Lead Stripe's "single plane of glass" vision for sellers—driving architectural decisions on how first-party Stripe components and third-party platforms (e.g., Salesforce) interoperate, and designing systems that surface the right data and actions to sellers at the right time • Integrate AI and agentic workflows into the selling process, identifying high-leverage opportunities to automate seller overhead—from intelligent deal recommendations and pricing guidance to automated contract workflows and proactive activation nudges • Partner cross-functionally at a senior level with Go-to-Market, Finance, Legal, and Product teams to deeply understand the selling process and translate business requirements into durable technical solutions that scale with Stripe's growth • Raise the technical bar across the team—conduct thorough design and code reviews, establish engineering standards and best practices, and create the conditions for senior and staff-adjacent engineers to do their best work • Drive simplification and platform consolidation—reduce complexity in Stripe's go-to-market systems stack, identify opportunities to consolidate overlapping tooling, and architect toward a maintainable, extensible platform that serves sellers reliably • Mentor and sponsor senior engineers, helping them grow in technical scope and organizational influence, and fostering a culture of ownership, craft, and collaboration across the Seller Systems team and beyond WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS • 10+ years experience building software systems, including both experience building user-facing products and internal platforms leveraged by other engineering teams • You have a user-first mindset • You care deeply about the product experience and the users who rely on the systems you build • You've set a multi-year technical strategy for an organization and successfully executed it • You work in ambiguous, fast-moving environments and have a curiosity to learn the domain to a deep level • You've mentored senior engineers and meaningfully empowered their growth • You thrive on a high level of autonomy and responsibility • You have strong collaboration skills to work effectively across multiple teams and stakeholders, and ship complex initiatives • You communicate complex technical topics exceptionally clearly PREFERRED QUALIFICATIONS • Experience working in high-growth teams similar to Stripe • Knowledge of CRM platforms like Salesforce • Previous experience partnering with or supporting Go-to-Market (GTM) organizations, including Sales, Marketing, or Customer Success teams
Note: if you are an intern or new grad applicant, please do not apply using this link and visit our jobs page for those specific postings. WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE ORGANIZATION Money as a Service (MaaS) oversees a diverse portfolio of Stripe's core products and platforms. These offerings facilitate the global movement and management of funds for users. The teams that fall under the MaaS umbrella include: Accounts and Connect, Money Movement and Storage (MMS), Crypto and Banking as a Service (BaaS). Together, these teams work to ensure Stripe users have the robust financial infrastructure and tools they need to power their businesses on a global scale. Team Matching: exact team matching for one of the sub-teams will begin during final stages. Please note we may also consider you for different orgs based on your experience, location, etc. More information on our team matching process can be found here. WHAT YOU’LL DO We’re looking for Full Stack engineers who are interested in building software services and platforms that impact thousands of employees and millions of Stripe users, regardless of whether they’re an end user, developer, or partner. RESPONSIBILITIES * Build end-to-end experiences for Connect that make it as easy as possible to participate in the Internet economy and receive money online. Some of Stripe’s largest users are platforms that connect senders of payments with receivers of payments. Lyft connects riders to drivers, Kickstarter connects backers to projects, and Squarespace connects shoppers to online stores. All of them participate in doing business online, and all of them use Connect. * Make it easy for Connect platforms to scale their business through leveraging the full power of Stripe’s products via the dashboard, adding to their business models and product functionality while reducing integration lift and complexity. * Build great product experiences (integrate with Instant Payouts, Issuing, Capital, Terminal, etc) into all of Connect’s dashboard surfaces. WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 2-12+ years of industry software engineering experience (does not include internships or co-ops). * You enjoy data modeling challenges and have a high bar for keeping your solutions expressive yet simple to use. * Excellent written and verbal communication. * Enjoy being a generalist working on both the frontend, backend, and anything it takes to solve problems and delight users both internally and externally. * Thrive in a collaborative environment involving different stakeholders and subject matter experts. * Take pride in working on projects to successful completion involving a wide variety of technologies and systems. * Can stitch together many different services and processes together even if you have not worked with them before. * Can put yourself in the shoes of your users and be a steward of crafting great experiences. * Enjoy working with a diverse group of people with different expertise. * Uphold best practices in engineering, security, and design. PREFERRED QUALIFICATIONS * Experience working in high-growth teams similar to Stripe. * Experience building financial systems or tools for financial experts.
About Us Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. We lean in: ownership over titles, outcomes over intentions. We fight for excellence: high standards, direct, ego-free feedback. We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. The role As a Data Scientist at Legora you will turn data into decisions. You'll sit close to the business, taking questions end-to-end: shaping the metric, modelling the data in dbt, running the analysis, and making the recommendation. You'll pull in new data sources when you need to, but the underlying instrumentation and platform belong to our data engineering team. Insights are useful; impact is what we hire for. We're an AI-first data team. We believe the data function should be redesigned around what AI now makes possible, not retrofitted with it, and we want someone excited to help define what that looks like in practice. There's no single profile we hire for. Some of us are strongest at data modelling and analytics engineering, some at experimentation and causal inference, some at machine learning, some at stakeholder influence. You'll likely be excellent at one or two of these and competent across the rest. That's the bar. We're a small, centralised team supporting the whole company, hiring for the person, not the seat. Depending on your strengths and where we have the biggest gap when you join, you could be embedded primarily with: Product: instrumentation, feature adoption, user behaviour, A/B testing, shaping the roadmap with PMs and designers. Finance & RevOps: ARR, NRR, forecasting, board reporting, pricing analytics across a 40-country footprint, and unit economics for an AI-native product. Growth & Marketing: acquisition funnels, attribution, campaign measurement, lifecycle analytics, and what actually moves enterprise legal buyers. GTM & Customer Success: pipeline analytics, customer health, expansion signals, and retention drivers in a category that didn't exist three years ago. You'll partner directly with leaders across Product, Engineering, Finance, and GTM, most of whom are unusually data-fluent and will happily open a SQL editor with you. Your work will directly influence how we prioritise, how we sell, how we price, and how we build. What you will be doing Partner with stakeholders across Product, Finance, GTM, Growth, and beyond to translate ambiguous questions into structured analyses and clear recommendations. Define the metrics that matter, design the experiments or analyses that test them, and measure the impact of what we ship. Conduct deep-dive analyses on the questions that move the business, and proactively surface the questions nobody is asking yet. Model the data you need for your work in dbt, pulling in new sources when necessary, and partner closely with data engineering on anything that needs to scale beyond your immediate use case. Build dashboards and reporting that scale beyond you, so the company can answer its own questions where possible. Help shape how the data team operates as we scale: standards, tooling, ways of working. What you'll need Strong proficiency in SQL and Python. Solid grasp of data modelling and what it takes to build analytical work that is reliable and trusted. Excellent communication skills and the confidence to influence decisions through data storytelling, including pushing back when the data doesn't support what someone wants to do. Genuine depth in at least one of the following, with competence across the rest and curiosity to grow: Data modelling and analytics engineering (dbt, dimensional modelling, semantic layers, self-service) Experimentation and causal inference (A/B test design, quasi-experiments, statistical rigour) Machine learning and applied data science (forecasting, prediction, segmentation, evaluation) Product analytics and metric design (funnels, cohorts, adoption frameworks, North Star metrics) Nice to have Experience in a product-led or SaaS environment, ideally B2B. Hands-on experience with our stack: Snowflake, dbt, Hex, Dagster. Prior experience as an early data hire at a fast-growing company, i.e. you've built the muscle, not inherited it. Most importantly, you are someone who "Gets stuff done" and understands building a $10bn company isn't always glamorous and takes hard work and long hours. Thrives in a fast-paced environment where the answers aren't always clear and processes are few. Is genuinely domain-curious. You don't need to have worked on every part of a business, but you should be excited to. Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.
Plastic Design Engineer Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match. What you will do At Volvo CE you will contribute to the transformation of our company, the transport industry and society at large. With a product lifecycle mindset, you will create plastic solutions that balance design intent, technical performance, manufacturability, quality, and cost, ensuring profitability for Volvo CE while strengthening our position as the number one choice for our customers. Your responsibilities will include the design and development of plastic parts such as dashboards, panels, trims, consoles, storage solutions, and other parts for the operator environment. You will work with concepts, packaging studies, CAD modeling, drawings, turning A surfaces into B surfaces, and supplier interfaces throughout the development process. You will also support verification activities, tolerance investigations, and continuously improve existing solutions based on customer feedback and production learnings. You will collaborate closely within our cab team and with other functions and colleagues around the world. Your future team We are a proud team developing cab solutions for Wheel Loaders and Articulated Haulers in Eskilstuna, Sweden. Our mission is to create the best operator environment in the industry — ensuring comfort, safety, and productivity throughout long working days. Knowing that our work helps operators stay energized both on and off the job is something that motivates us every day. We adapt to changes around us and we are proactive and forward-thinking to prepare for future technologies. We strongly believe that commitment, collaboration, continuous improvement, and having fun at work are key to our success. Who are you? Do you dream big? We do too, and we are excited to grow together. We believe you have experience in plastic part design, preferably within automotive, off-highway, or other mobile applications. Knowledge of manufacturing methods, material selection, and design for assembly and cost principles is highly valued. Experience in designing interior and exterior parts and surface modelling is considered a strong advantage. You are familiar with engineering tools such as CAD and PLM systems and feel comfortable working in a technical development environment. As a person, you are structured, collaborative, and solution-oriented, with the ability to balance detailed engineering work with a broader system perspective. You are a strong communicator who enjoys working cross-functionally in an international and multicultural environment. While you bring valuable experience to the team, you are also curious, eager to learn, and motivated by continuous improvement. You hold a B.Sc. or M.Sc. degree in Mechanical Engineering, Product Development, Plastics Engineering, or a related field and have a few years of experience within plastic design. You enjoy working collaboratively, take ownership of your deliveries, and see challenges as opportunities for continuous learning and development. What’s in it for you? At Volvo CE, you’ll be part of something bigger, shaping sustainable transport solutions together with skilled and passionate colleagues. Your work will have a real impact, contributing to operator comfort, safety, and productivity around the world. A supportive and caring team culture where collaboration, knowledge sharing and wellbeing are prioritized The opportunity to work with advanced product development and innovative plastic design in a global organization A meaningful role where your designs directly impact operator comfort, safety, and productivity across the world Strong opportunities for personal and professional growth — whether you want to deepen your technical expertise or explore new career paths across functions and globally A workplace that encourages curiosity, new ideas and continuous learning, where improvement is part of everyday work The chance to be part of Volvo CE’s transformation journey towards more sustainable and future-oriented solutions Ready for the next move? Are you excited to bring your skills and disruptive ideas to the table? Join us and help build the world we want to live in. We can’t wait to hear from you. Apply today! Last application day: 9th of August. Location: on-site in Eskilstuna. In case you have questions contact: Hiring Manager: Madelene Grunditz, Head of Operator Environment, madelene.grunditz@volvo.com
ABOUT US Legora is redefining how legal work gets done. Not built for lawyers, built with them. We work alongside the world’s best legal teams, who expect excellence, precision, and speed, and we hold ourselves to the same bar. Our AI-native workspace lets legal professionals move faster, think more clearly, and operate with sharper precision. By analysing thousands of documents in minutes and powering end-to-end workflows, we cut through complexity, teams can focus on what matters: judgment, strategy, and outcomes. 1,000+ customers across 50+ countries trust us, including Cleary Gottlieb, Goodwin, Linklaters, White & Case, Dentons, and Barclays. We’ve scaled to $100M+ in ARR, with teams across Europe, North America and APAC, and continue to expand through acquisitions including Qura, Walter AI and Graceview. We partner with world-class performers: including Aaron Judge and the New York Yankees, Ludvig Åberg (and his caddie), and campaigns featuring Jude Law. Joining Legora means three things. * We lean in: ownership over titles, outcomes over intentions. * We fight for excellence: high standards, direct, ego-free feedback. * We grow together: as a team and with our customers. Mission before ego. Everyone contributes. No one coasts. If you’re driven by impact, pace, and raising the bar. This is the place. The role As a Data Scientist at Legora you will turn data into decisions. You'll sit close to the business, taking questions end-to-end: shaping the metric, modelling the data in dbt, running the analysis, and making the recommendation. You'll pull in new data sources when you need to, but the underlying instrumentation and platform belong to our data engineering team. Insights are useful; impact is what we hire for. We're an AI-first data team. We believe the data function should be redesigned around what AI now makes possible, not retrofitted with it, and we want someone excited to help define what that looks like in practice. There's no single profile we hire for. Some of us are strongest at data modelling and analytics engineering, some at experimentation and causal inference, some at machine learning, some at stakeholder influence. You'll likely be excellent at one or two of these and competent across the rest. That's the bar. We're a small, centralised team supporting the whole company, hiring for the person, not the seat. Depending on your strengths and where we have the biggest gap when you join, you could be embedded primarily with: * Product: instrumentation, feature adoption, user behaviour, A/B testing, shaping the roadmap with PMs and designers. * Finance & RevOps: ARR, NRR, forecasting, board reporting, pricing analytics across a 40-country footprint, and unit economics for an AI-native product. * Growth & Marketing: acquisition funnels, attribution, campaign measurement, lifecycle analytics, and what actually moves enterprise legal buyers. * GTM & Customer Success: pipeline analytics, customer health, expansion signals, and retention drivers in a category that didn't exist three years ago. You'll partner directly with leaders across Product, Engineering, Finance, and GTM, most of whom are unusually data-fluent and will happily open a SQL editor with you. Your work will directly influence how we prioritise, how we sell, how we price, and how we build. What you will be doing * Partner with stakeholders across Product, Finance, GTM, Growth, and beyond to translate ambiguous questions into structured analyses and clear recommendations. * Define the metrics that matter, design the experiments or analyses that test them, and measure the impact of what we ship. * Conduct deep-dive analyses on the questions that move the business, and proactively surface the questions nobody is asking yet. * Model the data you need for your work in dbt, pulling in new sources when necessary, and partner closely with data engineering on anything that needs to scale beyond your immediate use case. * Build dashboards and reporting that scale beyond you, so the company can answer its own questions where possible. * Help shape how the data team operates as we scale: standards, tooling, ways of working. What you'll need * Strong proficiency in SQL and Python. * Solid grasp of data modelling and what it takes to build analytical work that is reliable and trusted. * Excellent communication skills and the confidence to influence decisions through data storytelling, including pushing back when the data doesn't support what someone wants to do. * Genuine depth in at least one of the following, with competence across the rest and curiosity to grow: * Data modelling and analytics engineering (dbt, dimensional modelling, semantic layers, self-service) * Experimentation and causal inference (A/B test design, quasi-experiments, statistical rigour) * Machine learning and applied data science (forecasting, prediction, segmentation, evaluation) * Product analytics and metric design (funnels, cohorts, adoption frameworks, North Star metrics) Nice to have * Experience in a product-led or SaaS environment, ideally B2B. * Hands-on experience with our stack: Snowflake, dbt, Hex, Dagster. * Prior experience as an early data hire at a fast-growing company, i.e. you've built the muscle, not inherited it. Most importantly, you are someone who * "Gets stuff done" and understands building a $10bn company isn't always glamorous and takes hard work and long hours. * Thrives in a fast-paced environment where the answers aren't always clear and processes are few. * Is genuinely domain-curious. You don't need to have worked on every part of a business, but you should be excited to. Legora is an Equal Opportunity Employer At Legora, we believe great teams are built on diversity of thought and experience. We’re proud to be an equal opportunity employer and committed to creating an inclusive, high-performance culture where everyone can do their best work. We welcome people of all backgrounds and don’t discriminate based on race, color, religion, national origin, gender, gender identity or expression, sexual orientation, age, disability, veteran status, or any other characteristic protected by law.
Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results. We are now seeking a Mechanical engineer - CAD visualization for one of our clients. About the assignment: We are looking for a candidate to support the preparation and transformation of CAD data into high-quality visualization data. The role focuses on material assignment, data cleaning, and quality assurance to ensure visualization-ready datasets. Create technical visualization images for internal use cases and prepare structured visualization data packages for downstream stakeholders. Work will be performed using tools such as Deltagen, CATIA V5, and Adobe Photoshop, and includes collaboration in a cross-functional project environment involving internal stakeholders, market representatives, and TRATON brands. Responsibilities: • Prepare CAD data for visualization (geometry clean-up, simplification, structuring) • Perform material assignment and scene setup for visualization • Ensure high data quality through validation and QA checks • Create technical visualization images for internal communication • Produce and deliver visualization data packages for other departments Collaborate with: • Product design & engineering • Industrial Design / Styling • Market & communication stakeholders • Work in tools such as Deltagen, CATIA V5 and Adobe Photoshop • Support continuous improvement of visualization workflows and data standards Education, Must Have: • Engineering degree or equivalent within: • Mechanical Engineering • Product Development • Industrial Design Engineering Education, Nice To Have: Specialization or coursework in: • Visualization / Rendering • Surface modelling or styling • Digital product presentation Experience, Must Have: • Experience working in 3D CAD environments (preferably CATIA V5) • Experience handling complex CAD assemblies and product structures • Experience from automotive or commercial vehicle development • Understanding of: • Product development processes • Cross-functional collaboration (design–engineering–production) Experience, Nice To Have: • Experience in visualization / rendering workflows • e.g. Deltagen, VRED, Blender or similar • Experience in image creation / post-processing (Photoshop, Illustrator) • Experience working close to: • Industrial Design / Styling • Studio Engineering • Knowledge of material definition and visual quality control • Experience from Scania or similar organization • Knowledge of additional tools: • Alias, Rhino or other surface modelling tools (meriterande) Language • English – fluent (required) • Swedish – meritorious Personal / Soft Skills • Self-driven and proactive • Strong communication skills in cross-functional teams • Ability to translate technical data into visual outputs • Structured and quality-focused mindset • Curious and willing to learn new tools (e.g. Deltagen) • Comfortable working in project-based environments with multiple stakeholders Full-time. Hybrid, 3-5 days/week on-site. The selection of candidates is done continuously. Good opportunities for an extension off the assignment Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us. Please apply directly through our system with: - Your updated CV in english - Availability to start the assignment In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent, education and personal qualities. Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid. Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.
About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will help transform complex CAD data into high-quality visualization material used across product development and internal communication in a technically advanced commercial vehicle environment. This role sits at the intersection of engineering, visualization, and data quality, where accurate geometry, material definition, and structured datasets are essential for creating useful visual outputs. You will work in a cross-functional setup together with stakeholders in design, engineering, styling, and communication. The role gives you the chance to combine technical understanding with visual precision in an environment where your work supports both internal users and downstream teams, making it a strong opportunity if you enjoy turning complex product data into polished, visualization-ready results. Job DescriptionYou will prepare CAD data for visualization through geometry clean-up, simplification, and structured data handling. You will assign materials and set up scenes to create high-quality visualization-ready datasets. You will validate data, perform quality checks, and help ensure consistent visual and technical standards. You will create technical visualization images for internal communication and product-related use cases. You will produce and deliver structured visualization data packages to downstream stakeholders and other departments. You will collaborate closely with product design, engineering, industrial design, styling, and market-oriented stakeholders. You will contribute to the continuous improvement of visualization workflows, methods, and data standards. You will work with tools such as Deltagen, CATIA V5, and Adobe Photoshop as part of your daily work. RequirementsEngineering degree or equivalent within Mechanical Engineering, Product Development, or Industrial Design Engineering. Experience working in 3D CAD environments, preferably CATIA V5. Experience handling complex CAD assemblies and product structures. Experience from automotive or commercial vehicle development. Understanding of product development processes. Ability to work effectively in cross-functional collaboration across design, engineering, and production. Ability to translate technical data into clear visual outputs. A structured and quality-focused way of working. Fluent English. Willingness to complete a background check before the assignment starts. Nice to haveSpecialization or coursework in visualization, rendering, surface modelling, styling, or digital product presentation. Experience in visualization or rendering workflows such as Deltagen, VRED, Blender, or similar tools. Experience in image creation or post-processing with Photoshop, Illustrator, or similar tools. Experience working closely with Industrial Design, Styling, or Studio Engineering. Knowledge of material definition and visual quality control. Knowledge of Alias, Rhino, or other surface modelling tools. Knowledge of internal systems and processes in a similar vehicle development organization. Experience working with complex vehicle product structures, especially within bus or truck development. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.
WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM You'll work closely with several teams of engineers and PMs to shape products used by Stripe employees across engineering, operations, finance, and beyond. This is a high-impact role for a designer who finds as much satisfaction in untangling complex workflows and dense information architectures as in crafting polished interfaces. WHAT YOU'LL DO You'll take ownership of two spaces within our internal tooling portfolio—Developer Productivity, focused on ensuring every engineer at Stripe has the tools to be productive, and Collaboration, focused on knowledge discovery and communication at scale. You'll pair with an existing designer on the team to bring design quality and consistency to surfaces that are critical to how Stripe operates internally. RESPONSIBILITIES * Own end-to-end design for a portfolio of internal tools—from discovery and problem framing through interaction design, prototyping, and implementation support * Partner with engineering and product managers to define product requirements and translate them into clear, usable, and well-considered design solutions * Conduct lightweight research and usability sessions with internal users to validate decisions and surface unmet needs * Contribute to a consistent design language across our internal tools suite, working in close coordination with the Sail Design team and the Stripe design system * Make design trade-offs confidently, knowing when to go deep on craft and when to ship a pragmatic solution that moves the product forward * Help raise the bar for internal product design at Stripe, advocating for users who are often underserved compared to customer-facing surfaces WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 5+ years of product design experience, with a portfolio that demonstrates strong UX thinking, clear visual craft, and an ability to navigate ambiguity * Experience designing tools for complex or data-heavy workflows—internal tools, developer tools, ops platforms, or similar are a strong plus * Comfortable working across the full design process—you can lead discovery, write a problem brief, design and prototype, and ship without needing every step handed to you * Strong systems thinker—you naturally look for patterns, reusable components, and structural solutions rather than one-off fixes * Collaborative and direct communicator. You share work early, give and receive feedback well, and know how to align cross-functional stakeholders * Proficient in Figma and comfortable working within or alongside a design system PREFERRED QUALIFICATIONS * Experience designing for internal-facing or enterprise tooling environments * You've contributed to a design system, or worked closely to a design systems team * Exposure to information architecture challenges—navigation, search, and content modeling * Background in or interest in developer tooling, ops platforms, or workflow automation
Do you want to use advanced simulation methods to understand and improve the performance of fuel cells? Join Chalmers and contribute to atomistic modelling of catalytic reactions to enhance the stability of proton-exchange membrane fuel cells. About us Chemical Physics develops sustainable energy systems by using heterogeneous (electro) catalysis for alternative fuel production, emission control, energy storage, and fuel cells. The research is interdisciplinary with strong connections between fundamental and applied science. Chemical Physics is a dynamic and international environment that strives for scientific excellence through teamwork and combined theoretical and experimental efforts. The theoretical activities at Chemical Physics focus on electronic structure calculations within the density functional theory together with mean-field modeling and Monte-Carlo simulations for reaction kinetics. By linking quantum mechanical calculations with kinetic modeling, it is possible to bridge both length and time scales. About the research project Proton-exchange membrane fuel cells (PEMFC) convert the chemical energy in hydrogen to electrical energy. The main parts of a PEMFC are the anode, cathode and electrolyte. The reactions at the anode and cathode electrodes are catalyzed by metal nanoparticles on carbon. A current issue for large scale implementation of the PEMFC technology is long-term stability. The project will use atomistic first principles methods to understand the governing mechanism for fuel cell degradation. Increased understanding of the governing processes will provide information on how catalysts could be improved and how the system should be operated to minimize degradation. The project is a collaboration between Volvo Technology AB and Chemical Physics at Chalmers. Who we are looking for The following requirements are mandatory: To qualify as a Doctoral student, you must have a Master's degree (masterexamen) of 120 credits or a Master's degree (magisterexamen) of 60 credits* in in Physics, Chemistry or Materials Science* Background in quantum mechanics, thermodynamics and statistical mechanichs Documented experience in programming Strong interest in atomistic modeling of surface reactions Good communication skills in written and spoken English *for students with an education earned outside of Sweden, a 4-year Bachelor's degree is accepted. The following experience will strengthen your application: Experience in atomic scale modeling Experience from modeling reaction kinetics Experience in python programming What you will do Perform research in the project Develop your own scientific concepts and communicate the results of your research verbally and in writing Take courses at an advanced level within the Graduate school of Materials Science or Physics (https://www.chalmers.se/en/research/we-train-new-researchers/graduate-schools/ ) The position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 percent of working hours Contract terms The Doctoral student positions are fully funded from start. The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five years. A starting salary of 35,725 SEK per month (valid from May 1, 2026). Doctoral studies require physical presence throughout the entire study period. A valid residence permit must be presented by the study start date; otherwise the admission may be withdrawn. What we offer As a Doctoral student at Chalmers, you are an employee and enjoy all employee benefits. Read more about https://www.chalmers.se/en/about-chalmers/work-with-us/ and our https://www.chalmers.se/en/about-chalmers/work-with-us/chalmers-as-an-employer/benefits-and-conditions/ for employees. A dynamic and inspiring working environment in the coastal city of https://www.goteborg.com/en. Read more about Sweden's generous parental leave, subsidized day care, free schools, healthcare etc at https://www.movetogothenburg.com/ Chalmers is dedicated to improving gender balance and actively works with equality projects, such as https://www.chalmers.se/en/about-chalmers/organisation-and-governance/equality/genie-gender-initiative-for-excellence/. We celebrate diversity and consider equality and inclusion as fundamental aspects of all our activities. If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. Find more general information about doctoral studies at Chalmers https://www.chalmers.se/en/research/we-train-new-researchers/about-doctoral-studies/. Application procedure The application should be written in English and attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files. CV Personal letter A brief introduction about yourself. A brief motivation as to why you are interested in this position. Bachelor's and, if available, master's thesis together with the transcripts. Use the button at the foot of the page to reach the application form. A background check may be conducted as part of the application process. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview. We welcome your application no later than August 16 For questions, please contact: Henrik Grönbeck Professor email: ghj@chalmers.se, Phone:+46702862459 We look forward to your application! *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit, in close collaboration with wider society. Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward.
Luleå University of Technology experiences rapid growth with world-leading expertise within several research areas. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies, the public sector and leading universities. Luleå University of Technology has an annual turnover of just over SEK 2.3 billion. We have more than 1,800 employees and nearly 21,600 students. The Department of Civil, Environmental and Natural Resources Engineering conducts research and education in mining, construction, and environmental engineering. The department has a strong experimental and applied profile, supported by well-equipped laboratories and close collaboration with industry. Approximately 70 % of the research is externally funded, and the department has extensive international collaboration. The Division of Mining and Geotechnical Engineering conducts research and education in rock mechanics, mining engineering, and geotechnical engineering, with a strong focus on the safe, efficient, and sustainable design of underground and surface excavations. The division works closely with industry to address practical engineering challenges and develop solutions for future mining and infrastructure projects. Subject description Mining and Rock Engineering comprises mining technology, rock engineering and rock mechanics, including rock mass properties, design of rock excavations and tunneling as well as planning and production processes related to both mining and civil engineering. Project description As underground mining operations at LKAB continue to greater depths, the rock mass is subjected to increasingly high in-situ stresses and dynamic disturbances, leading to elevated risks of seismic events and rockburst damage. There is therefore a growing need for improved understanding of ground support performance under both static and dynamic loading conditions. This project aims to develop a mechanism-based and site-adapted framework for ground support design, focusing on energy absorption, deformation capacity, and system-level behaviour. The research will integrate laboratory testing, numerical modelling, and field observations from deep underground mines. The expected outcomes include improved understanding of support performance, development of evaluation methodologies, and optimized support system design tailored to LKAB’s mining conditions. Duties As a PhD student, you will conduct both field data analysis and numerical research within the project. Your work will include: - Development and application of numerical models for ground support systems (e.g. bolts, mesh, shotcrete, and rock mass interaction) - Analysis and interpretation of laboratory testing results, including static and dynamic performance of support elements - Participation in the design and evaluation of ground support systems for deep underground mining - Collaboration with industry partners and integration of field data into research - Dissemination of research results through scientific publications and conferences Most of your working time will be devoted to your own research studies. You may also have the opportunity to contribute to teaching activities. Qualifications Required qualifications: - Master’s degree in mining engineering, rock mechanics, geotechnical engineering, or in a related field - Background in mechanics and/or numerical modelling (experience at different levels is welcome) - Good written and verbal communication skills in English Meritorious qualifications: - Experience with numerical modelling tools (e.g. LS-DYNA, FEM, DEM) - Knowledge of underground mining and rock support systems - Experience with laboratory or field testing Personal qualities: - Ability to collaborate within a research team and develop independence over time - Analytical and problem-solving skills - Motivation to contribute to research with industrial relevance and real-world impact For further information about a specific subject seehttp://www.ltu.se/research/Utbildning-pa-forskarniva/Studieplaner/Allmanna-studieplaner-Teknisk-fakultetsnamnd?l=en Further information Employment as a PhD student is limited to 4 years, teaching and other department duties may be added with max 20%. Placement: Luleå. Starting: according to agreement For further information about the position, please contact Senior Lecturer Yang Zou, (+46) 920-49 3470, mailto:yang.zou@ltu.se or Professor Daniel Johansson, (+46) 920-49 2361, daniel.johansson@ltu.se Union representatives: SACO-S Diana Chroneer, (+46 ) 920-49 2037, mailto:diana.chroneer@ltu.se OFR-S Marika Vesterberg, (+46) 920-49 1721, mailto:marika.vesterberg@ltu.se In case of different interpretations of the English and Swedish versions of this announcement, the Swedish version takes precedence. Application We prefer that you apply for this position by clicking on the apply button below. The application should include a CV, personal letter and copies of verified diplomas from high school and universities. Mark your application with the reference number below. Your application, including diplomas, must be written in English or Swedish. Closing date for applications: July 31, 2026 Reference number: 3108-2026
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