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As Legal Counsel, you'll help shape and build Maki's legal function. This is a broad, hands-on role spanning commercial contracts, legal operations, privacy, product, regulatory matters, and company strategy. Your mission is to create a scalable legal function that supports clear rules, fast decisions, and responsible growth. You'll work closely with Sales, Leadership, Security, Product, and Engineering to turn legal obligations into practical decisions across the company. What you'll do Lead commercial contracting Review, draft, and negotiate customer agreements, including master services agreements (MSAs), data processing agreements (DPAs), security and privacy provisions, and related commercial documentation. Represent Maki in negotiations with customer legal and procurement teams, using sound commercial judgment to determine which requirements to accept, mitigate, or challenge. Help the commercial team understand the practical implications of contractual commitments before they are made. Develop negotiation positions, fallback clauses, and contracting standards that make enterprise contracting more efficient while managing risk. Coordinate with Sales, Leadership, Security, Product, and Engineering to ensure commitments are clear and achievable. Build scalable legal operations Develop and maintain standard agreements, terms and conditions, privacy policies, and other core legal documentation. Create processes for contract review, approvals, renewals, and legal requests, with clear ownership and decision-making responsibilities. Build templates, playbooks, clause libraries, and internal guidance to help teams handle common legal questions consistently. Select and implement legal tools and workflows as the volume and complexity of legal work grow. Make legal knowledge and contractual obligations accessible to the teams responsible for acting on them. Advise on product, privacy, and regulation Monitor developments in AI, privacy, employment, data protection, and other regulations affecting Maki and its customers. Translate regulatory and contractual obligations into practical product and operational requirements. Work with Product and Engineering to identify necessary features, controls, workflows, and technical capabilities. Advise the commercial team on how legal requirements affect product positioning, sales, and deployment. Help leadership assess emerging legal risks and make informed strategic and operational decisions. Develop practical policies and processes that meet legal obligations without unnecessarily slowing teams or customers. What you'll bring Qualification as a legal counsel in a relevant jurisdiction. Experience negotiating complex commercial agreements. Strong experience in technology, SaaS, data, privacy, or related commercial legal matters. A practical understanding of GDPR, data protection, and the regulatory environment surrounding technology and AI. Sound judgment in distinguishing material legal and commercial risks from theoretical concerns. The ability to explain legal issues clearly to non-lawyers, both in writing and in conversation. A constructive, commercially minded approach to negotiations with sophisticated customer legal teams. The ability to work independently and build structure where little currently exists. Nice to have Experience negotiating agreements with large enterprise customers. Experience with AI regulation, employment technology, or enterprise software. Experience building the legal function of a fast-growing technology company. What success looks like Enterprise contracts move efficiently, with clear commitments and appropriate risk management. Legal documentation, processes, and decision-making practices scale with the company. Teams understand how legal, regulatory, and contractual obligations affect their work and translate them into practical action. Find Jobs in France on Arbeitnow

About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you. Job Description Information security is an integral part of Visa's corporate culture. It is essential to maintaining our position as an industry leader in electronic payments, which is why Visa has made it a priority to create top-tier security operations and incident response teams to defend the company against evolving cyber threats. If you would like to join a company where security is truly valued, where you can work with like-minded peers who are passionate about the art & science of cyber defense, and where you can use state of the art tools for maximum impact, then we have a home for you. The successful candidate will work with a team of incident responders at one of Visa's Cyber Fusion Centers. The team is part of a larger organization located across multiple geographical sites that are responsible for the comprehensive cyber defense of Visa and its subsidiaries. Essential Functions Manage and address cybersecurity incidents through all stages, including identification, containment, and eradication. Perform deep-dive analysis on systems, accounts, and networks to identify the root cause and impact of incidents. Act as an engagement point for broader technology teams, including Cyber Defense and Engineering. Perform proactive threat hunting to identify and mitigate potential threats before they can cause harm. Develop and refine detection rules to improve the identification and response to security incidents. Provide detailed reports and documentation of incidents and response actions. Develop and maintain incident response playbooks and runbooks to ensure standardized and efficient response processes. Contribute to identifying process improvement opportunities to enhance security incident response processes. Support and manage cybersecurity projects to enhance overall security posture. Work Arrangement This position is staffed in shifts supporting a 24x7x365 global security operations center. Analysts work a series of 12-hour shifts (followed by days off). Staff assigned to the operations center are considered critical and may need to cover holidays and weekends, if scheduled. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: Bachelor's degree, OR 3+ years of relevant work experience Experience working in an enterprise-level incident response team or security operations center. Professional experience in cybersecurity or computer network defense roles. Experience with GenAI and Agent automation Preferred Qualifications Experience working in an enterprise-level incident response team or security operations center. Professional experience in cybersecurity or computer network defense roles. Relevant security-related certifications a plus: CISSP, GCIH, GCIA, GCED, GCFA, CySA+. Demonstrated expertise in areas like incident response, intrusion and malware analysis, web application security, or security engineering. Extensive understanding of malware types and network attack methods. Strong grasp of TCP/IP, packet analysis, routing, and network security. Extensive expertise in operating systems (Windows and Linux), as well as network services and applications. Direct experience in handling cyber security incidents and associated incident response tools. Strong working knowledge of common security tools such as SIEM, AV, WAF, IDS, Netflow, Packet Analyzer and Endpoint Detection & Response tools. Understanding of web application security vulnerabilities, such as cross-site scripting, cross-site request forgery, SQL injection, denial-of-service attacks, and API attacks. Good understanding of Web Application Security risks. Excellent understanding of DDoS techniques and mitigation mechanisms. Display great problem-solving skills, with tenacity and resilience to resolve issues. Excellent communication and presentation skills with proven skill in presenting analytical data effectively to varied audiences. Strong interpersonal and leadership skills to influence and build credibility as a peer. Strong understanding of cloud technologies and related security best practices. Information for US Applicants For roles located in the US, the estimated salary range for this position is $84,500.00 to $ 131,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

Cybersecurity Analyst Who we are: Creyos (formerly Cambridge Brain Sciences) is a leading growth-stage B2B SaaS HealthTech company. Our proprietary brain health tools, including digital cognitive assessments and mental health questionnaires, are used by healthcare practitioners treating mental health conditions, brain injuries, aging, and other patient populations throughout the world, as well as by leading researchers. To learn more about our organization, please visit www.creyos.com . You will be part of a team that includes not just your typical SaaS business functions (Sales, Marketing, Customer Success), but also engineers, psychologists, business leaders, and even a world-renowned neuroscientist. We are proud to say that you will be surrounded by some of the smartest, enthusiastic, hard working and dedicated people that you?ll ever meet (at least, that we?ve ever met!). Who we are looking for: At Creyos, we understand that solving big challenges demands unwavering resilience and determination. We don?t stop until we achieve our goals. People who thrive at Creyos are driven, curious, hardworking, and enthusiastic about scaling a company - along with having a good sense of humor. If this resonates with you, we?d love to hear from you! We are looking for a Cybersecurity Analyst to join our team to drive the implementation of compliance and information security initiatives, and ensure our business practices meet the requirements of industry standards. This role will support our team as our on-site cybersecurity point of contact for IT support, hardware asset management, and physical security. This is an in-person role located at our Toronto office. What you will be doing: As a Cybersecurity Analyst at Creyos, you will: Perform vulnerability/risk assessments and control testing across applications, networks, and infrastructure to remediate vulnerabilities and support secure software deployments. Lead initial triage, resolution, and escalation for security incidents and support requests while monitoring the latest advisories, alerts, and regulatory changes. Drive physical and technical security assessments, lead audit evidence collection/inquiries, and deliver remediation reports to key stakeholders. Develop, recommend, and maintain security policies, standard operating procedures (SOPs), and operational runbooks. Administer end-to-end identity lifecycles (provisioning, offboarding, and role-based access control) grounded in least-privilege principles. Maintain complete oversight and lifecycle inventory of all hardware assets. Deliver security-centric on-site IT support, including network hardening, hardware setup, account provisioning, and troubleshooting. Mentor team members and drive internal knowledge sharing through technical presentations and documentation. The skills and experience we are looking for: 1-3 years professional work experience in information security; Working knowledge of collaboration tools such as JIRA and Confluence; Understanding of core security concepts: least privilege, access control, incident handling, and asset lifecycle management; Ability to configure, implement, and maintain security tools as well as the configuration of data sources for metric reporting/tracking; Experience with security tools and methodologies for conducting vulnerability and application security assessments; Ability to analyze IT solutions and technology infrastructure to identify and assess security vulnerabilities, threats, and risks; Understanding of industrial frameworks such as NIST, SOC 2, or similar compliance frameworks;</

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 Security Incident Response team works to analyze, investigate, and respond to threats before they impact Stripe's business or users. From external attacks to insider threats, our goal is to respond with speed and precision, remediate, and support the incident postmortem process. The team is distributed, working across North America, Europe, and Asia, and will regularly coordinate with stakeholders in different time zones. What you'll do You will be leveraging your security incident response experience to analyze and respond to security notifications, events, and inquiries. You will be performing initial triage of potential security incidents through log and data analysis to determine whether or not activity is a substantiated or valid threat, assessing severity and potential impact, taking pre-approved remediation measures to contain a threat, and escalating findings to investigators for further review and analysis. You will use your knowledge of cyber threats and the results of your analysis to coordinate with partner teams to improve threat detection through tuning and creation of new use cases, to improve capabilities through enriching existing data and creation of new data feeds, and to improve triage accuracy, consistency and timeliness through automation. This role plays a critical part in threat detection and response, ultimately reducing the likelihood of security breaches and protecting sensitive company information. Responsibilities Analyze and investigate activity on company devices and cloud infrastructure that could represent a security threat Work cross-functionally with the Security teams to develop solutions for analyzing security events at scale and protecting Stripe networks, systems, and data Interpret disparate data sources to report on trends and support investigative requests Collect requirements for enhancements to detection models and response systems Leverage existing systems and data to perform analyses and promote process improvements Provide actionable insights to help identify, prevent, detect, and respond to anomalous or potentially malicious user activity Collaborate effectively with teammates, lead projects, mentor others, and develop and champion quality operational standards across the team 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 experience in information technology or cyber security roles including incident response 2+ years experience analyzing large data sets to solve problems and/or manage projects related to security event triage and/or workplace investigations Prior experience investigating and triaging security threats on endpoint devices including Mac, Linux, and Windows, as well as cloud infrastructure across AWS, Azure, and GCP. B.S. or M.S. in Cyber Security and Information Assurance, Data Analytics, Computer Science or related field, or equivalent experience Working knowledge of SQL Basic knowledge of scripting or programming in Python, Go, or other programming languages Proven experience with log querying and analysis (e.g. first or third party applications, system / data access, event logs), digital forensics, or incident response using one or more industry standard SIEM Platforms (Splunk, Sentinel, Chronicle, Elastic, etc.) Proficiency using analytical methods to inform detection systems or guide strategic response Strong cross-functional collaboration and written/verbal communication skills Ability to think creatively and holistically about identifying and reducing risk in a complex environment High level of judgment, objectivity, and discretion Preferred Qualifications Prior experience working with high volume data in a security incident response environment Experience with data processing and analysis tools (e.g. Jupyter Notebooks, Databricks) An adversarial mindset, understanding the goals, behaviors, and TTPs of threat actors Ability to leverage threat intelligence and/or hunting concepts in an enterprise environment Experience in one or more of the following areas: user and entity behavior analytics (UEBA), SOAR/security automation, security information event management (SIEM), data loss prevention (DLP), Information Security, or Data Privacy One or more security certifications through a recognized industry provider: GIAC, ISACA, ISC2, OffSec, CompTIA, etc. Hybrid work at Stripe This role is available either in an office or a remote location (35+ miles or 56+ km from a Stripe office). In-office expectations Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. Working remotely at Stripe A remote location is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently live or plan to live. Pay and benefits The annual US base salary range for this role is $121,000 - $181,600. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. We look forward to hearing from you. At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out—and set you apart—especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us. Apply now Please find our California applicant personal information notice here. The application window will remain open for 100 days after the Job Post is published. However, this opportunity will remain open based on the needs of the business, which may cause the application window to close before or after the 100-day mark.

Company Qualcomm Technologies, Inc. Job Area Engineering Group, Engineering Group > Modem Technologies Software General Summary This position is not eligible for Qualcomm immigration sponsorship.*** We are seeking an experienced Machine Learning Engineer specializing in Agentic AI to join our Core Enterprise AI team. The ideal candidate will design, develop, and deploy next-generation AI systems powered by Large Language Models (LLMs), Agentic AI, Hybrid AI architectures, Retrieval-Augmented Generation (RAG), and autonomous intelligent agents . This role focuses on building enterprise-grade AI solutions capable of reasoning, planning, tool usage, workflow orchestration, and autonomous task execution. Key Responsibilities Design and implement Agentic AI systems capable of autonomous reasoning, planning, tool usage, and multi-step execution to solve complex enterprise problems. Build and optimize RAG, Hybrid AI, and knowledge-grounded architectures that augment LLMs with enterprise data, external tools, and domain-specific context. Develop and advance self-improving AI agents leveraging feedback loops, reflection, reinforcement learning techniques, automated evaluations, memory systems, and continuous learning frameworks. Research, develop, and apply LLM post-training techniques, including supervised fine-tuning (SFT), preference optimization, reinforcement learning, distillation, and domain adaptation to improve model performance for enterprise use cases. Create robust evaluation, benchmarking, observability, and safety frameworks for measuring agent quality, reliability, efficiency, and business impact. Build and maintain multi-agent systems and orchestration frameworks that enable collaborative agent workflows and intelligent task automation. Collaborate with cross-functional teams to identify high-value opportunities and deliver scalable AI solutions that drive measurable business outcomes. Stay at the forefront of advancements in Agentic AI, reasoning models, post-training, model routing, autonomous agents, and enterprise AI architectures, bringing innovative solutions into production. Minimum Qualifications Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or related field. Preferred Qualifications Experience with popular LLM frameworks (Langchain, LlamaIndex, Transformers) Knowledge of prompt engineering and chain-of-thought techniques Experience with containerization and microservices architecture Background in Reinforcement Learning Contributions to open-source AI projects Experience with ML ops and model deployment pipelines Skills And Competencies Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow) Practical experience with LLM deployments and fine-tuning Experience with vector databases and embedding models Familiarity with modern AI/ML infrastructure and cloud platforms (AWS, GCP, Azure) Strong understanding of RAG architectures and implementation Strong problem-solving and analytical skills Excellent communication and collaboration abilities Experience with agile development methodologies Ability to balance multiple projects and priorities Strong focus on code quality and best practices Understanding of AI ethics and responsible AI development Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. Pay Range And Other Compensation & Benefits $114,500.00 - $171,700.00 The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer – and you can review more details about our US benefits at this link. If you would like more information about this role, please contact Qualcomm Careers.

Job Requisition ID # 26WD101381 Position Overview Autodesk's worldwide sales organization depends on its forecast, pipeline, targets and reporting. This role builds the data models behind them. As an Analytics Engineer on the Forecasting & Revenue Intelligence team, you turn sales, subscription and hierarchy data into tested, documented models that analysts and sales leaders can trust, covering what customers bought, who owns which accounts and how the sales organization looked on any given date. You will work in SQL and dbt on Snowflake, and you will work closely with the people who use your models. This is a hands-on role on a new team, and you will own what you ship. Location: United States (remote). Central or Eastern time zone preferred. Organization: Revenue Operations Responsibilities Build and maintain dbt models on Snowflake that bring Salesforce, subscription, billing, hierarchy and forecast data into a clean, documented form Model data for analysis: a clear grain, stable keys, and definitions consistent with the shared metric dictionary Keep history so any published number can be reproduced as it stood on the day it went out Maintain the mapping between accounts, territories, sellers and the sales hierarchy as the organization changes Reconcile the data to Salesforce and to Finance, and find the cause when they disagree Build the datasets behind the weekly forecast pack, business reviews and leadership dashboards Add tests and monitoring for freshness, completeness and accuracy, and fix what breaks Explain data issues and trade-offs to sales and finance partners in plain terms, and agree on a fix with them Work in version control with code review and continuous integration Minimum Qualifications Bachelor's degree in a technical or quantitative field, or equivalent practical experience 3+ years in analytics engineering, data engineering or BI development, building models other people depended on Dbt in production, with tests and documentation as part of how you work Strong SQL, including window functions and incremental models, in a cloud data warehouse such as Snowflake Working knowledge of the Salesforce data model: accounts, opportunities, line items and ownership Ability to explain a data problem to a non-technical stakeholder and reach a decision together Preferred Qualifications Dbt snapshots or slowly changing dimensions for point-in-time reporting Python for transformation or orchestration, with Airflow or similar Enterprise software or SaaS commercial data: subscriptions, renewals, territories, and direct and partner routes to market Revenue intelligence platforms such as Clari, Gong or Aviso, and BI tools such as Power BI, Tableau or Sigma Experience as an early hire on a new data team Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us! Benefits From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/ Salary transparency Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $103,000 and $185,130. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Equal Employment Opportunity At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging In-Person Onboarding and Identity Verification This role may require in-person onboarding and/or in-person ID verification.

Job Requisition ID # 26WD101382 Position Overview Autodesk's worldwide sales organization depends on its forecast, pipeline, targets and reporting. This role builds the data models behind them. As an Analytics Engineer on the Forecasting & Revenue Intelligence team, you turn sales, subscription and hierarchy data into tested, documented models that analysts and sales leaders can trust, covering what customers bought, who owns which accounts and how the sales organization looked on any given date. You will work in SQL and dbt on Snowflake, and you will work closely with the people who use your models. This is a hands-on role on a new team, and you will own what you ship. Location: United States (remote). Central or Eastern time zone preferred. Organization: Revenue Operations Responsibilities Build and maintain dbt models on Snowflake that bring Salesforce, subscription, billing, hierarchy and forecast data into a clean, documented form Model data for analysis: a clear grain, stable keys, and definitions consistent with the shared metric dictionary Keep history so any published number can be reproduced as it stood on the day it went out Maintain the mapping between accounts, territories, sellers and the sales hierarchy as the organization changes Reconcile the data to Salesforce and to Finance, and find the cause when they disagree Build the datasets behind the weekly forecast pack, business reviews and leadership dashboards Add tests and monitoring for freshness, completeness and accuracy, and fix what breaks Explain data issues and trade-offs to sales and finance partners in plain terms, and agree on a fix with them Work in version control with code review and continuous integration Minimum Qualifications Bachelor's degree in a technical or quantitative field, or equivalent practical experience 3+ years in analytics engineering, data engineering or BI development, building models other people depended on Dbt in production, with tests and documentation as part of how you work Strong SQL, including window functions and incremental models, in a cloud data warehouse such as Snowflake Working knowledge of the Salesforce data model: accounts, opportunities, line items and ownership Ability to explain a data problem to a non-technical stakeholder and reach a decision together Preferred Qualifications Dbt snapshots or slowly changing dimensions for point-in-time reporting Python for transformation or orchestration, with Airflow or similar Enterprise software or SaaS commercial data: subscriptions, renewals, territories, and direct and partner routes to market Revenue intelligence platforms such as Clari, Gong or Aviso, and BI tools such as Power BI, Tableau or Sigma Experience as an early hire on a new data team Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us! Benefits From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/ Salary transparency Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $103,000 and $185,130. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Equal Employment Opportunity At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging In-Person Onboarding and Identity Verification This role may require in-person onboarding and/or in-person ID verification.

Reporting to the Director of Technology. An integral part of the ALMAG Aluminium Information Technology Department the Sr. Business Systems & Database Analyst will assist with the planning, organizing, and optimizing the overall operation of business systems at ALMAG. Responsible for technical, operational support and maintenance of critical business systems at ALMAG. Ensure that business systems meet business objectives while maintaining accessible and reliable systems for internal customer use. The incumbent will monitor changes in industry trends, innovations and customer behaviours and identify potential impact and applicability to ALMAG?s strategic, market, sales and functional plans. The incumbent will develop recommendations and once approved, will collaborate and support various teams to design and implement process and enhancements within mission-critical business systems. DUTIES AND RESPONSIBILITIES The duties and responsibilities of the Sr. Business Systems & Database Analyst are detailed below, but not limited to the following: Planning Participate in the review of business processes to generate recommendations for productivity improvements through technology Risk mitigation and planning Work with partners to eliminate redundant or ineffective business procedures Enhance the customer service experience Work with partners to gain agreement on solutions Analyse data to quantify benefits and assess costs Participate in presentations and meetings with Senior Management Participate in the preparation of RFPs, bid proposals, and contracts Work closely with the Director of Technology to develop application architecture and underlying services to run enterprise business systems Research emerging practices and technologies and participate in long-range planning for the development of business systems solutions, evaluating new deployment and migration models and methodologies Operations Develop and implement business systems projects that meet agreed business outcomes Communicate effectively with various partners, setting clear expectations and explaining complex concepts to non-technical audiencesProvide expert guidance with hands-on support to solve complex and challenging business problems to the satisfaction of key partners Plan, develop, and on?time delivery of effective business solutions Coordinate and perform in-depth testing of modified and new systems, including end-user reviews and other post-implementation support Support the organization through the design and implementation of robust training Maintain, administer, and upgrade existing database and application systems as required Ensure the proper management and integrity of ALMAG data Identify and compile metrics from business systems to support data analysis and business improvements Apply methods and techniques to ensure the security of applications and data Responsible for using problem-solving and analytical skills to support the design, implementation, and maintenance of solutions that support the extrusion production system Support the business through the ongoing implementation, configuration, support, and testing of an alternate ERP system Design, deploy, and maintain dashboards ad-hoc reports, perform data analytics, and build data visualization solutions to meet business needs using Power BI or Crystal reporting Develop and maintain dashboards, reports, and data visualizations Create standard operating procedures, support new user onboarding, and train users on system functionality Perform additional duties as required to support the business Governance Collaborate with Busines

Job Description Job Description Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency. Powered by LOIS , the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine's rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Role Overview The Principal Data Analyst will play a key role in executing Filevine's data and analytics initiatives. Reporting directly to executive leadership, this individual will manage daily analytics operations, deliver corporate metrics, and produce actionable insights to support operational excellence and strategic decision-making across the organization. This position requires a balance of strong technical proficiency, business acumen, and solid communication skills. The ideal candidate will be a hands-on analytical practitioner who can design and deliver high-quality analyses while engaging confidently with executive stakeholders. Responsibilities Work closely with the CEO on ad-hoc or other impromptu projects, providing rapid analytical support and insights. Lead daily operations for the corporate analytics function, overseeing the development and delivery of executive-level dashboards, KPIs, and routine reporting. Partner with functional leaders to identify and interpret key trends across product usage, customer health, financial performance, and organizational initiatives. Conduct complex analyses that inform strategic priorities and operational decisions. Build and maintain robust data pipelines and models within Domo, integrating data from Salesforce, Snowflake, HubSpot, the Filevine Platform, and other enterprise systems. Ensure data integrity, consistency, and precision across all reporting outputs. Implement frameworks for tracking key SaaS metrics and KPIs, including ARR, GRR, NRR, churn, customer engagement, and retention. Communicate findings clearly to both technical and non-technical audiences, translating complex data into actionable business insights. Partner cross-functionally with Finance, Operations, Product, and Customer Success teams to align analytics outputs with organizational goals. Qualifications Bachelor's degree in Data Analytics, Statistics, Business, Economics, or a related field. 4–6+ years of experience in data analytics or business intelligence, with experience leading ad-hoc projects. Demonstrated ability to guide projects and support team development. Expertise in SQL and hands-on experience working with large, complex data environments. Strong proficiency with Domo or equivalent BI tools (e.g., Tableau, Power BI, Looker). Solid understanding of Salesforce data structures and data integration practices. Familiarity with SaaS business models and key financial metrics. Strong communication skills with the ability to effectively present insights to senior stakeholders. High attention to detail, with a commitment to accuracy, data governance, and analytical rigor. Work Location Expectation: Unless otherwise specified, this position is based out of our San Francisco, Chicago, Salt Lake City or New York offices. Candidates residing in or near these metro areas are expected to work on a hybrid (2-3 days in-office/week) or fully onsite basis. Cool Company Benefits A dynamic, rapidly growing company, focused on helping organizations thrive Medical, Dental, & Vision Insurance (for full-time employees) Competitive & Fair Pay Maternity & paternity leave (for full-time employees) Short & long-term disability Opportunity to learn from a dedicated leadership team Top-of-the-line company swag Privacy Policy Notice Filevine will handle your personal information according to what's outlined in our Privacy Policy. Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Citylitics Inc. Citylitics delivers predictive intelligence on where, how, and why infrastructure investments will occur across North America. Infrastructure includes the foundational systems that shape our quality of life: water, transportation, transit, roads and highways, broadband, and power. It represents a multi-trillion-dollar market and a 20+ year megatrend in North America. Citylitics transforms millions of documents across more than 40,000 cities, utilities, and public agencies into real-time market signals and high-value sales intelligence. Leading infrastructure vendors, engineering firms, and construction companies use the platform to identify and pre-position for major infrastructure opportunities earlier, helping them build relationships, shape project priorities, and influence scope before projects move to formal procurement. Citylitics combines a network of AI agents, fine-tuned models, a proprietary infrastructure signals graph, and daily human-in-the-loop quality assurance workflows to deliver highly nuanced and reliable sales intelligence. The platform integrates seamlessly with CRMs, ERPs, and data lakes, embedding actionable insights directly into sales workflows so teams can prioritize the right pursuits and build stronger pipelines. Our mission is to improve how infrastructure investments get made so critical needs can be addressed earlier and communities benefit from stronger, more resilient infrastructure. Join Citylitics to work in a meaningful industry that will matter for decades to come while helping grow a company at the forefront of applied AI. We operate with a Results-Driven Mentality and a commitment to Raise The Bar, in a collaborative environment where Teamwork Makes the Dream Work as we tackle big challenges and celebrate wins together. Who Are We Looking For? We're looking for a skilled and enthusiastic Data Engineer to join our growing team! We're a close-knit group building and maintaining mission-critical data products, and we need someone who can hit the ground running. This role requires a strong command of data engineering best practices, a track record with orchestration and data warehouses, and hands-on experience shipping LLM and agentic workflows to production. You'll own the design, build, and operation of production data pipelines that use AI to power customer-facing solutions. You'll work with technologies we already use, including GCP services like Cloud Composer, Cloud SQL, BigQuery, and Vertex AI. Beyond the technical skills, we value collaboration, sound engineering judgment, and the ability to adapt as AI tooling changes fast. If you're passionate about data, have put AI into production and want to do more of it, and are excited by impactful projects, we encourage you to apply. This is a hybrid role based out of Citylitics? Toronto office and requires 3+ days in-office per week. What Will You Accomplish? / How You Will Make An Immediate Impact: Pipeline Orchestration: Lead the development of highly performant, reliable, and maintainable pipelines using Airflow and BigQuery, from architecture and design through testing, deployment, monitoring, and maintenance. You'll make design decisions independently and own the systems you build. Data Modeling & Dashboards: Partner with data analysts and stakeholders to define requirements and design scalable data models and applications. You'll own data products end to end, from the pipelines and models through the backend APIs to the customer-facing dashboards and apps built on them. AI & Agentic Workflows: Design and operate pipelines that use LLMs and agents to turn raw documents into structured, useful data. This includes prompt and context design, tool and func

Description Full-Time | Remote or Draper, UT Campus (Hybrid) Join Us in Transforming Healthcare Education At Joyce University, the work we do goes beyond technology—it helps move the University forward and supports our mission of preparing people to serve as competent professionals, advance their careers, and pursue lifelong learning. We are seeking a Data Engineer to help build and strengthen the data foundation that supports decision-making across Joyce University. In this role, you will design, build, and maintain the data pipelines and data warehouse that bring information together from the University's core systems and make it accurate, secure, accessible, and ready for analysis. You will work closely with teams across the University to understand their reporting and data needs and turn those needs into reliable, reusable data solutions. Your work will support everything from everyday operational decisions to strategic planning, compliance and regulatory reporting, accreditation, and institutional analytics. This is an opportunity to play an important role in building a modern, trusted data environment at a growing university focused on healthcare education. What You'll Do Data pipelines and integration Design, build and maintain ETL/ELT pipelines that load data from the SIS, LMS, CRM, and third-party sources. Build integrations through APIs, flat files and database connections, including scheduled and incremental loads. Monitor pipeline runs, set up alerting, and fix failures quickly with documented root-cause notes. Data warehouse and modeling Design and maintain the University data warehouse using dimensional modeling (star schemas, conformed dimensions, slowly changing dimensions). Create curated, reusable datasets for key areas such as enrollment, retention, course success, financial aid and finance. Tune SQL Server performance through indexing, partitioning and query optimization. Data quality, governance and security Build automated data-quality checks and reconcile warehouse figures against source systems. Apply role-based access, encryption and masking so data use complies with FERPA, GLBA and University policy. Reporting and analytics support Deliver data sources and semantic models for Sigma and help report builders use them well. Supply accurate data for state and federal reporting (IPEDS), accreditation and internal dashboards. Translate stakeholder requests into clear requirements, user stories and acceptance criteria. Planning and collaboration Evaluate current data systems and recommend improvements in architecture, tooling and process. Use version control (Git), code review and change management for all pipeline and database code. Share project status, risks and changes with stakeholders and leadership. Perform other related duties as assigned. What We Offer At Joyce, we believe great work starts with an environment where people feel trusted, supported, and connected to a meaningful purpose. Self-directed paid time off 12 paid holidays Medical, dental, and vision insurance Employer-paid short-term and long-term disability coverage 401(k) retirement plan Professional development opportunities Continuing education opportunities A mission-driven environment focused on healthcare education and student success The flexibility to work fully remote or in a hybrid arrangement from our Draper, Utah campus Requirements What You'll Bring We welcome candidates who bring a strong technical foundation, curiosity, and a commitment to building data solutions that are useful, reliable, and sustainable. You should be comfortable working independently while also partnering with technical and non-technical colleagues across the University. Required Qualifications Bachelor's degree in computer science, information systems, data science, or a related field, or an equivalent combination of education and experience. 3+ years of experience building and supporting data pipelines or data warehouses in a production environment. Advanced SQL skills, including complex queries, stored procedures, and performance tuning, ideally in Snowflake. Hands-on experience with at least one ETL tool such as SSIS, Azure Data Factory, dbt, or similar. Working knowledge of dimensional data modeling and data warehouse design. Experience with at least one scripting language, such as Python or PowerShell, for automation and data processing. Clear written and verbal communication skills with both technical and non-technical colleagues. What You'll Love About Joyce At Joyce, we believe meaningful work and a great employee experience go hand in hand. Here, you'll find a community that cares about the work we do, the people we serve, and the people we work alongside. Purposeful Work – Your work helps support the people, systems, and decisions that move healthcare education forward and ultimately make a difference for our students. A Culture of Care – We believe in treating people with warmth, respect, and genuine care. Unreasonable Hospitality is the floor, not the ceiling. Flexibility & Trust – We trust our people to do great work. This role offers the flexibility to work fully remote or in a hybrid arrangement from our Draper, Utah campus. Learning & Growth – We believe learning never stops. You'll have opportunities to build your skills, pursue professional development, and grow alongside a University that is continuing to evolve. People Who Care – You'll work with talented, collaborative colleagues who are committed to helping one another succeed and creating a positive experience for our students and each other. A Growing University – Joyce is a place where your ideas can make an impact. As we grow and innovate, you'll have opportunities to help shape how we work and build what comes next. Work That Matters – Every interaction moves the student forward. No matter your role, the work you do at Joyce contributes to preparing the next generation of healthcare professionals. About Joyce University Joyce University of Nursing & Health Sciences is committed to preparing people to serve as competent professionals, advance their careers, and pursue lifelong learning. Founded in 1979, Joyce has grown into a leading healthcare education institution with pre- and post-licensure programs designed to prepare students for meaningful careers in healthcare. We are a community that values Service, Learning, Integrity, Caring, and Excellence and we believe every interaction has the opportunity to move the student journey forward.

ABOUT ODAIA ODAIA noun o·da·ia | 'oh-day-yeah An Ancient Greek word referring to "?d?", the word for song, and the root of melody, harmony, and orchestra. We chose it deliberately: the best commercial intelligence doesn't just inform ? it orchestrates. To learn more visit odaia.ai. ODAIA delivers AI-powered commercial intelligence for life sciences - unifying data, accelerating results, and helping commercial teams deepen engagement to enhance care for providers and patients. ODAIA's AI platform transforms complex data into predictive, personalized insights, enabling commercial leaders to understand their customers, anticipate prescribing behaviors, and make the informed, strategic decisions that bring therapies to patients faster. OUR MISSION Reducing patients? time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI. WHAT?S ON OFFER As a Data Implementation Engineer reporting to the Manager, Technical Implementations, you will play a critical role in configuring and implementing our AI-driven platform to enable our customer?s success. You will partner closely with the Business Acceleration and Engineering teams throughout the entirety of the customer lifecycle and be responsible for managing all data-related activities. The ideal candidate will have strong technical fluency - especially in data analysis, querying, and ETL. Please include a cover letter with your application outlining your relevant experience and interest in this role, you can describe a project you?ve worked on that relates to one of the ?What you bring? or ?What you will do? points, and share how you?d expand on it here at ODAIA. WHAT YOU WILL DO Work directly with customers to discover, assess, and integrate their data assets into our platform Collaborate with customers, our support team, and other internal teams to define technical requirements and triage reported issues for each implementation Configure and deploy platform solutions tailored to each customer, connecting seamlessly with their existing systems Build and maintain automated ETL workflows, using tools like Snowflake and AWS Glue, to enable repeatable, high-quality data ingestion Troubleshoot issues across the data pipeline - from ingestion and transformation through orchestration and system configuration - leading resolution efforts Own the weekly data delivery cycle for assigned customers, proactively resolving issues to keep deliveries on time and error-free Identify recurring manual work in the implementation and delivery process - including manual trigger steps - and automate it to improve scalability Uphold data security and privacy protocols in line with industry standards WHAT YOU BRING 3+ years of experience with data migration, ETL, and pipeline tools 3+ years of hands-on experience with Snowflake and AWS (e.g., Glue, S3), or equivalent cloud data infrastructure Strong proficiency in Python and SQL Experience with APIs and integration frameworks Familiarity with orchestration tools (e.g., Dagster, Airflow) and config-driven/declarative pipeline systems (e.g., dbt) is a strong asset Strong problem-solving skills and a customer-centric mindset, comfortable owning ambiguous technical problems directly with customers Excellent communication skills, able to translate between technical and non-technical stakeholders Experience in the life sciences/pharma industry, including familiarity with tools like Veeva Vault or Salesforce, is a strong asset WHAT WE OFFER Values-Based Culture We Ignite Innovation, Own It, and Stand Together AI-Native Environment At ODAIA, we don't just deliver AI ? we live it. We use AI and agentic automation to 10x our efficiency and impact, encouraging constant curiosity in leveraging and integrating AI Comprehensive Rewards Meaningful stock option grants, immediate medical/dental enrollment, and flexible time off Remote-First Flexi