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Location: Montreal, Canada The company provides full relocation support, including immigration assistance, and offers a relocation bonus upon arrival in Montreal. Selected candidates may work remotely during the initial months while their immigration process is being completed; however, the long-term expectation is for the individual to transition to onsite work in Montreal once relocation has been finalized. Tasks summary: Architecture Concept & Requirements • Gather functional, performance, pointing, environmental and security requirements from mission stakeholders & CONOPs. • Capture, trace and map payload requirements from mission level to subsystem level • Coordinate with cybersecurity team for payload‑specific assessments • Perform requirement management and maintain bidirectional traceability throughout the program life cycle. Payload Architecture & Design • Design the SAR system architecture (antenna arrays & RF front-end Tx/Rx components, digital beamforming, processing chain and digital electronics, power, thermal, and mass). • Lead the conceptual, preliminary, and detailed design phases, producing trade studies, performance budgets). • Produce Interface Control Documents (ICDs) with other subsystems and ground segment. • Provide system‑level specifications to hardware designers, review schematics, layouts, thermal interfaces, and mechanical constraints Simulation & Analysis • Perform performance simulations for tolerance budgeting and image quality. • Support algorithm and analytical development to process SAR. • Define and maintain Payload DC power budget with utilization models. • Perform FMECA, Fault tree and FDIR, reliability modeling and availability to meet mission objectives Cross‑Functional Coordination, Stakeholder & Program Interaction • Communicate technical status, risk assessments and trade‑study results to senior management and/or customers or partners. • Support payload design authority in System design reviews, Power/Structure/Thermal interfaces and Mission Operations assessments. • Liaise with Electrical, Power, Structures, Thermal, Software, Ground‑Segment and Mission‑Operations teams to resolve integration issues early. • Support B&P (Phase 0 & pre-phase A). Integration & Verification (IVV) • Develop Payload Verification Master Plan covering unit‑test, subsystem‑test, payload‑level test, environmental and electromagnetic compatibility (EMC) test campaigns. • Lead test‑automation framework set‑up, test‑case definition, results analysis and test‑report certification. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to the company’s knowledge‑base, process enhancements, and standards development. Configuration, Documentation & Standards Management • Ensure all artefacts, analysis, firmware, deliverables and documentation are version controlled in PLM environment. • Lead and Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation. On Orbit & Operations Support • Provide technical support to Mission Operations for routine payload health monitoring, contingency handling and performance trending. • Lead root‑cause investigations for on‑orbit anomalies; update design baselines and lessons‑learned. • Analyze on‑orbit telemetry, update filter parameters, and generate performance reports. • Support SOOH development and associated operator training. Required Qualifications:  B.Sc. in Electrical Engineering, Computer science or Physics with 10 + years of experience supporting SAR remote sensing system development, integration and test on LEO/MEO missions.  Strong technical-writing ability (requirements, ICDs, test procedures, risk reports) and presentation skills; comfortable interfacing with customers, suppliers and senior leadership.  Strong understanding of aerospace system engineering fundamentals.  Hands-on individual who can support systems integration processes and capability to test systems and resolve problems.  Experience with Confluence and JIRA.  Demonstrated capability to efficiently work with little supervision.  Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity.  Demonstrate excellent written and oral communication skills in English; knowledge of French will be considered an asset (Contact with clients outside Quebec and work on deliverables in English).

Location: Goodyear, United States Workplace: onsite Role type: Part-time Location: Goodyear, Arizona Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all.  Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning.  We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success.  Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide. Avila University Arizona is seeking dedicated and qualified Adjunct Instructors to join our faculty in Goodyear, Arizona. As an Adjunct Instructor, you will teach online and hybrid graduate courses. The ideal candidate possesses strong industry experience and technical proficiency in selected field and is passionate about mentoring adult learners in accelerated graduate programs. When applying, please specify in your Cover Letter which subject areas you are applying for. Successful candidates will be added to our adjunct faculty pool. Teaching assignments for the upcoming terms, which runs through January 2027, will be distributed from this pool based on course availability and enrollment. Subject areas: 1. Artificial Intelligence, Data Science & Analytics Faculty may teach courses in areas such as: Artificial Intelligence and Machine Learning Deep Learning and Generative AI Natural Language Processing and Computer Vision Data Science and Predictive Analytics Business Intelligence and Data Visualization Big Data and Cloud Analytics 2. Project Management & Operations Faculty may teach courses in areas such as: Project Management and Agile Methodologies Operations and Supply Chain Management Process Improvement and Six Sigma Strategic Leadership and Organizational Management Project Tools, Technologies, and Analytics Candidates applying for PM & Operations must have a valid PMP certificate. 3. Healthcare Administration & Health Informatics Faculty may teach courses in areas such as: Healthcare Systems and Administration Health Informatics and Digital Health Systems Electronic Health Records and Interoperability Healthcare Policy, Law, and Ethics Healthcare Finance and Strategic Management Healthcare Data Analytics and Decision Support 4. Data Science, Analytics & Business Intelligence Faculty may teach courses in areas such as: Foundations of Data Science & Analytics Statistical Analysis for Business Data Mining & Predictive Modeling Business Intelligence & Data Warehousing Data Visualization & Storytelling Big Data Technologies & Cloud Computing Strategic Decision Making with Analytics Data Science Capstone & Industry Internship 5. Core Business Faculty may teach courses in areas such as: Foundations of Data Science & Analytics Statistical Analysis for Business Data Mining & Predictive Modeling Business Intelligence & Data Warehousing Data Visualization & Storytelling Big Data Technologies & Cloud Computing Strategic Decision Making with Analytics Data Science Capstone & Industry Internship Summary of role: Instruction & Delivery Deliver high-quality online and hybrid instruction using in-person, synchronous and asynchronous methods. Utilize best practices in teaching for online, accelerated adult graduate programs. Employ effective teaching strategies that accommodate diverse student abilities, professional backgrounds, and learning styles. Integrate real-world business datasets and industry case studies into course curriculum to ensure practical applicability. Mentorship & Student Support Assist students in navigating challenges encountered during their coursework, providing actionable feedback and solutions. Foster a collaborative learning environment where students are encouraged to reflect on their technical practice and innovate. Collaboration & Coordination Collaborate with university faculty and program directors to ensure curriculum alignment with current industry trends in the subject areas. Participate in faculty meetings and professional development activities to stay updated on best practices in STEM education and emerging AI technologies. Professional Development Engage in ongoing professional development to enhance expertise in instructional technologies, instructional methods, and assessment practices. Stay informed about current research and trends in the subject area, incorporating relevant knowledge into course content. Administrative Duties Maintain accurate records of student grades, project evaluations, and attendance within the university’s learning management system. Ensure compliance with university academic standards and accreditation requirements. Assist in the coordination of programmatic assessments to monitor the effectiveness of the curriculum. Qualifications: Required: Doctorate in the related field. A master’s degree with significant (10+ years) professional industry experience in the subject area will be considered in lieu of a doctorate. Required: Minimum of 5 years of professional experience applying subject concepts in a business or research setting. Preferred: Prior teaching, training, or adjunct faculty experience in related subjects. Demonstrated ability to communicate complex management concepts clearly to diverse audiences. Ability to facilitate virtual team simulations and guide students through conflict resolution and negotiation scenarios. Excellent communication, collaboration, and time-management skills. Familiarity with working on real-world business datasets and solving industry-specific problems. Terms of Employment: FLSA Status: Exempt Communication: Maintains communication with various Faculty, staff, and external constituents in the performance of role. Must be professional in all communications as a representative of the senior administrative team. Utilizes existing technology effectively in the performance of duties. Reasoning Ability: Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. Language Skills: This position requires the ability to read, write, understand and communicate in English. Functions of the job include: pertinent laws, codes, policies, and/or regulations; personnel processes; curriculum adoption process; program planning and development; and learning styles and curriculum models. Ability is required to schedule a number of activities, meetings, and/or events; often gather, collate, and/or classify data; and use job-related equipment. Flexibility is required to independently work with others in a wide variety of circumstances; analyze data utilizing defined but different processes; and operate equipment using standardized methods. Ability is also required to work with a significant diversity of individuals and/or groups; work with data of widely varied types and/or purposes; and utilize a variety of job-related equipment. Independent problem solving is required to analyze issues and create action plans. Problem solving with data frequently requires independent interpretation of guidelines; and problem solving with equipment is moderate to significant. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, be mobile in an office environment, stand, read, use a keyboard, and communicate audibly in person and by telephone and video technology. Specific vision abilities required by this job include close vision, distance vision, and depth perception. Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate and is a standard acceptable level for this environment. Other Skills/Abilities: Ability to establish and maintain effective working relationships with university employees, community members, external parties, Board members, and senior administrators; ability to speak clear and concisely in written or oral communication and ability to maintain professional decorum. Evaluation: Performance of this position will be evaluated in accordance with Avila University policy. The information contained in this description is for compliance with the Americans with Disabilities Act (A.D.A.) and is not an exhaustive list of the duties performed for this position. The individual currently holding this position performs additional duties and additional duties may be assigned. Avila University is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, national origin, sex, age, tenure, disability or any other factors that cannot be lawfully considered in its programs and activities as required by all applicable laws and regulations. Avila University reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job positions or assign additional responsibilities. We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search. GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief. Our data privacy policy can be viewed here .

Location: Goodyear, United States Workplace: onsite Role type: Part-time Location: Goodyear, Arizona Global University Systems (GUS) is an international education group that empowers students to transform their lives through education. We believe education drives careers, lives, and society forward, enabling a brighter and more sustainable future for all.  Our institutions offer the broadest range of industry-relevant skills through inclusive, accessible and digital-first learning.  We offer a choice of career-enhancing certificates, degrees and post-graduate level qualifications, equipping our thriving multi-national community of students for lifelong success.  Our world-leading network and state-of-the-art institutions power the upskilling of our students worldwide. Avila University Arizona is seeking dedicated and qualified Adjunct Instructors to join our faculty in Goodyear, Arizona. As an Adjunct Instructor, you will teach online and hybrid graduate courses. The ideal candidate possesses strong industry experience and technical proficiency in selected field and is passionate about mentoring adult learners in accelerated graduate programs. When applying, please specify in your Cover Letter which subject areas you are applying for. Successful candidates will be added to our adjunct faculty pool. Teaching assignments for the upcoming terms, which runs through January 2027, will be distributed from this pool based on course availability and enrollment. Subject areas: 1. Artificial Intelligence, Data Science & Analytics Faculty may teach courses in areas such as: Artificial Intelligence and Machine Learning Deep Learning and Generative AI Natural Language Processing and Computer Vision Data Science and Predictive Analytics Business Intelligence and Data Visualization Big Data and Cloud Analytics 2. Project Management & Operations Faculty may teach courses in areas such as: Project Management and Agile Methodologies Operations and Supply Chain Management Process Improvement and Six Sigma Strategic Leadership and Organizational Management Project Tools, Technologies, and Analytics Candidates applying for PM & Operations must have a valid PMP certificate. 3. Healthcare Administration & Health Informatics Faculty may teach courses in areas such as: Healthcare Systems and Administration Health Informatics and Digital Health Systems Electronic Health Records and Interoperability Healthcare Policy, Law, and Ethics Healthcare Finance and Strategic Management Healthcare Data Analytics and Decision Support 4. Data Science, Analytics & Business Intelligence Faculty may teach courses in areas such as: Foundations of Data Science & Analytics Statistical Analysis for Business Data Mining & Predictive Modeling Business Intelligence & Data Warehousing Data Visualization & Storytelling Big Data Technologies & Cloud Computing Strategic Decision Making with Analytics Data Science Capstone & Industry Internship 5. Core Business Faculty may teach courses in areas such as: Foundations of Data Science & Analytics Statistical Analysis for Business Data Mining & Predictive Modeling Business Intelligence & Data Warehousing Data Visualization & Storytelling Big Data Technologies & Cloud Computing Strategic Decision Making with Analytics Data Science Capstone & Industry Internship Summary of role: Instruction & Delivery Deliver high-quality online and hybrid instruction using in-person, synchronous and asynchronous methods. Utilize best practices in teaching for online, accelerated adult graduate programs. Employ effective teaching strategies that accommodate diverse student abilities, professional backgrounds, and learning styles. Integrate real-world business datasets and industry case studies into course curriculum to ensure practical applicability. Mentorship & Student Support Assist students in navigating challenges encountered during their coursework, providing actionable feedback and solutions. Foster a collaborative learning environment where students are encouraged to reflect on their technical practice and innovate. Collaboration & Coordination Collaborate with university faculty and program directors to ensure curriculum alignment with current industry trends in the subject areas. Participate in faculty meetings and professional development activities to stay updated on best practices in STEM education and emerging AI technologies. Professional Development Engage in ongoing professional development to enhance expertise in instructional technologies, instructional methods, and assessment practices. Stay informed about current research and trends in the subject area, incorporating relevant knowledge into course content. Administrative Duties Maintain accurate records of student grades, project evaluations, and attendance within the university’s learning management system. Ensure compliance with university academic standards and accreditation requirements. Assist in the coordination of programmatic assessments to monitor the effectiveness of the curriculum. Qualifications: Required: Doctorate in the related field. A master’s degree with significant (10+ years) professional industry experience in the subject area will be considered in lieu of a doctorate. Required: Minimum of 5 years of professional experience applying subject concepts in a business or research setting. Preferred: Prior teaching, training, or adjunct faculty experience in related subjects. Demonstrated ability to communicate complex management concepts clearly to diverse audiences. Ability to facilitate virtual team simulations and guide students through conflict resolution and negotiation scenarios. Excellent communication, collaboration, and time-management skills. Familiarity with working on real-world business datasets and solving industry-specific problems. Terms of Employment: FLSA Status: Exempt Communication: Maintains communication with various Faculty, staff, and external constituents in the performance of role. Must be professional in all communications as a representative of the senior administrative team. Utilizes existing technology effectively in the performance of duties. Reasoning Ability: Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. Language Skills: This position requires the ability to read, write, understand and communicate in English. Functions of the job include: pertinent laws, codes, policies, and/or regulations; personnel processes; curriculum adoption process; program planning and development; and learning styles and curriculum models. Ability is required to schedule a number of activities, meetings, and/or events; often gather, collate, and/or classify data; and use job-related equipment. Flexibility is required to independently work with others in a wide variety of circumstances; analyze data utilizing defined but different processes; and operate equipment using standardized methods. Ability is also required to work with a significant diversity of individuals and/or groups; work with data of widely varied types and/or purposes; and utilize a variety of job-related equipment. Independent problem solving is required to analyze issues and create action plans. Problem solving with data frequently requires independent interpretation of guidelines; and problem solving with equipment is moderate to significant. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, be mobile in an office environment, stand, read, use a keyboard, and communicate audibly in person and by telephone and video technology. Specific vision abilities required by this job include close vision, distance vision, and depth perception. Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate and is a standard acceptable level for this environment. Other Skills/Abilities: Ability to establish and maintain effective working relationships with university employees, community members, external parties, Board members, and senior administrators; ability to speak clear and concisely in written or oral communication and ability to maintain professional decorum. Evaluation: Performance of this position will be evaluated in accordance with Avila University policy. The information contained in this description is for compliance with the Americans with Disabilities Act (A.D.A.) and is not an exhaustive list of the duties performed for this position. The individual currently holding this position performs additional duties and additional duties may be assigned. Avila University is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, national origin, sex, age, tenure, disability or any other factors that cannot be lawfully considered in its programs and activities as required by all applicable laws and regulations. Avila University reserves the right at any time, with or without notice, to alter or change job responsibilities, reassign or transfer job positions or assign additional responsibilities. We will screen all applicants and select candidates whose qualifications meet our requirements. We will carefully consider your application during the initial screening and will contact you if you are selected to continue for the next stage of the recruitment process. We wish you every success in your job search. GUS is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief. Our data privacy policy can be viewed here .

Location: Bogota, Colombia; Belgrade, Serbia; Tbilisi, Georgia; Nicosia, Cyprus Workplace: remote Evaluate new client opportunities by analyzing technical and reporting needs, setting expectations on pricing and analytical solutions, estimating required resources, margins, and profitability, and identifying potential added-value offerings. Analyze and manage the client portfolio, with a focus on high-priority accounts, to assess profitability, resource allocation, workflows, and operational efficiency, identifying areas for improvement. Support decision-making on client portfolio strategy by preparing profitability reports, summarizing key pain points, and proposing action plans for each client engagement (e.g., growth, restructuring, or phase-out). Act as a supporting point of contact for clients during onboarding and integration phases, ensuring smooth adoption of media execution processes, tracking solutions, and reporting frameworks. Be a client-facing technical expert, capable of translating complex technical concepts into clear, simple terms. Support clients during troubleshooting processes, explaining campaign insights, optimization opportunities, and the agency’s capabilities in terms of platforms, analytics, and reporting solutions. Coordinate cross-functional teams to ensure accurate campaign setup, seamless platform integrations, effective tracking and measurement implementation, and reliable performance and profitability reporting. Proactively identify risks and challenges, implementing effective solutions to mitigate them. Act as an internal subject-matter expert on integration processes, supporting process optimization, scalability initiatives, and internal knowledge-sharing. Requirements 3+ years of experience in digital marketing, preferably in a digital agency environment Proven track record of successfully managing high-priority client accounts and driving revenue growth. Strong understanding of digital marketing, web development, and other related services. Experience in strategy development and planning for digital marketing campaigns Team management experience Excellent communication and interpersonal skills, with the ability to build rapport with clients and internal teams. Strong client communication skills, including presenting strategies, tactics, optimizations, and campaign results, as well as handling day-to-day communication and status updates Strong understanding of the difference between Performance and Media (tools, objectives, KPIs, analytics) Highly organized with excellent project management skills, able to prioritize tasks and manage multiple deadlines simultaneously.

Location: Singapore Workplace: Remote We are currently expanding our Support Services team at ClickHouse, which delivers exceptional service to our customers worldwide. We are seeking a Senior Consulting Engineer to join our global team, where you'll provide Consultative Support to our ClickHouse enterprise customers. The role uniquely blends hands-on engineering, development assistance, and high-tier support, performing functions across Consultative Support, Engineering, and Support. You will work directly with a set of strategic customers, providing guidance, case answers, and technical oversight. Consulting Engineers will also be assisting with support cases for customers in our Support L1 to L3 tiers, particularly when not assigned to larger projects. Responsibilities: - Project Engineering & Consulting (50%): Serve as a team member on customer projects, focusing on design, architecture, integration, implementation, and documentation. This includes research, benchmarking, performance and functional testing, reference architectures, sizing, migration, integration, development, and tooling. - Consultative Support (50%): Provide case-initiated consultative support to strategic users, customers, and prospects, assisting with implementation, onboarding, production launches, and Proof of Concepts (POCs). - Provide architectural, technical, and migration assistance, including hands-on tasks. - Work as a member of the Support Team, handling L1 to L3 cases and communications when not actively assigned to customer projects. - Partner closely with ClickHouse Product Management, Engineering, and Sales to contribute to the product roadmap and account plans. - Develop and assist with a wide range of content, including Public and Internal Documentation, Knowledge Base articles, ClickHouse Learning, Reference Architecture, blogs, and benchmark results. - Assist with hiring and mentoring new team members as we grow and scale. - Be available for scheduling and on-call needs to deliver high-quality 24x7 support in a global, distributed environment, including up to 35% estimated onsite regional travel. Requirements: - 5+ years of experience in Professional Services, Support, Technical Accounts Management, Engineering/SRE, and/or Project Management roles. - 5+ years of relevant industry experience in implementing, operating, and/or supporting scalable, fault-tolerant, distributed database management systems ("DBMS"). - Technical breadth and depth in relevant subjects such as DBMS, OLAP, Cloud/SaaS platforms, distributed systems software engineering, Linux/Unix, Kubernetes, System or Network Administration, and big data. - Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers. - Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2) Bonus points: - Experience with ClickHouse - Experience with OSS and open-source technologies, as a user, community member, or contributor - Experience with Azure, GCP or AWS - Experience with data pipelines such as Kafka, Kinesis, Spark, RabbitMQ, or others You'll love this role if: - You have excellent communication skills and thrive in a customer-facing role, collaborating closely with Support Services, Engineering, and Sales teams. - You are self-driven, curious, and eager to continuously learn and grow. - You possess a mindset of teamwork, global engagement, empathy, and a drive for solving challenging problems. - You have a sense of adventure and urgency in building the most scalable, highest performing, largest, and fastest databases in the world. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Remote - Bay Area MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. The Field Architect role at MinIO is a senior customer-facing technical leadership position focused on defining, validating, and guiding AIStor architectures for AI, analytics, cloud-native applications, and large-scale data infrastructure. You will serve as a trusted technical advisor to customers, partners, and internal teams, translating business and application requirements into robust technical designs that deliver measurable outcomes. You will collaborate closely with the broader MinIO team to ensure customers are successful through technical discovery, architecture design, proof-of-value execution, production onboarding, performance validation, and long-term expansion. Success in this role requires deep technical curiosity, hands-on architecture skills, strong communication, and the ability to connect AIStor’s capabilities to the data-intensive workloads that matter most to our customers. What You Will Do: Technical Leadership & Architecture Technical Architecture and Discovery: Lead technical discovery with customers and partners to understand their business goals, application requirements, data architecture, infrastructure constraints, and success criteria. Define scalable AIStor architectures that map directly to those requirements. AI and Analytics Workload Design: Define and validate AIStor architectures for AI/ML training and inference, analytics platforms, data lakehouse environments, high-performance data pipelines, large object workloads, and modern application data services. Object Storage and S3 Expertise: Serve as a subject matter expert in object storage, S3-compatible architectures, distributed systems, metadata, replication, erasure coding, security, performance tuning, and large-scale namespace design. Customer Engagement & Advisory Customer Technical Advisor: Build trusted relationships with customer technical stakeholders, including infrastructure, platform, analytics, AI, security, application, and operations teams. Guide customers toward informed architecture decisions and proactively identify opportunities to improve performance, resilience, scale, and operational efficiency. Proof-of-Value Execution: Lead technical evaluations, system configurations, performance testing, interoperability validation, and proof-of-value engagements that demonstrate AIStor’s value in real customer environments. Customer Success Beyond the Win: Partner with Customer Engineering, Product Management, and Engineering teams to help customers move from evaluation to production and from initial deployment to broader adoption across additional workloads, teams, and use cases. Ecosystem, Enablement & Field Operations Cloud-Native and Kubernetes Guidance: Provide technical leadership on Kubernetes, containers, automation, and cloud-native deployment patterns, including hybrid cloud, private cloud, public cloud, and edge infrastructure models. Solution Integration and Ecosystem Collaboration: Work with technology partners, reseller partners, and customer teams to support complete solutions involving analytics engines, AI platforms, Kubernetes distributions, data protection tools, identity systems, observability platforms, and public cloud services. Technical Presentations and Enablement: Build and deliver compelling architecture presentations, whiteboard sessions, demonstrations, best practices, workshops, and technical enablement sessions for customers, partners, and internal teams. RFP, RFI, and Technical Response Support: Contribute to or lead technical portions of RFPs, RFIs, RFQs, security reviews, architecture questionnaires, and competitive evaluations. Product Intelligence & Market Expertise Product and Engineering Feedback: Advocate for customer requirements internally by capturing field feedback, competitive insights, workload patterns, integration needs, and enhancement opportunities. Work with Product and Engineering teams to help inform roadmap priorities and improve customer outcomes. Competitive and Market Expertise: Stay current on object storage, data lakehouse, AI infrastructure, analytics, Kubernetes, cloud, and competitive storage trends. Help internal teams and customers understand where AIStor is differentiated. Your Skills and Experience: Strong background in enterprise storage, object storage, distributed systems, cloud infrastructure, data platforms, or high-performance data-intensive applications. Strong understanding of object storage concepts and S3-compatible architectures; experience with HTTP, REST APIs, JSON, security models, replication, data protection, and scale-out system design is highly valuable. 10+ years of experience in a senior customer-facing technical role such as Field Architect, Solutions Architect, Sales Engineer, Systems Engineer, or Technical Consultant. Hands-on experience with Linux, networking, storage systems, virtualization, containers, Kubernetes, and modern data center infrastructure. Experience designing or supporting AI, machine learning, analytics, data lakehouse, or large-scale data pipeline environments. Familiarity with ecosystem technologies such as Databricks, Starburst, Spark, Trino, Iceberg, Delta Lake, Kafka, PyTorch, TensorFlow, or other AI and analytics frameworks is a strong plus. Experience with public cloud and hybrid cloud environments, including AWS, Azure, GCP, OCI, or private cloud platforms. Ability to conduct technical discovery, design architectures, build demonstrations, guide proof-of-value execution, analyze performance, and communicate tradeoffs clearly. Comfortable working with heterogeneous enterprise environments involving compute, storage, networking, security, identity, observability, backup, disaster recovery, and application teams. Strong verbal, written, whiteboarding, and presentation skills, with the ability to communicate complex technical concepts to both technical and executive audiences. Ability to work collaboratively across customers, partners, Sales, Product, Engineering, and Customer Engineering teams. Strong customer-success orientation, intellectual curiosity, sense of ownership, and ability to prioritize effectively in a fast-moving environment. Willingness to travel as needed to support customers, partners, field events, and internal team activities. Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field; equivalent practical experience will also be considered. What We Offer: Health Care Plan (Medical, Dental & Vision) 401K with 3% Contribution Pre-IPO Stock Options At least 12 Public Holidays Flexible Time Off Pay Transparency MinIO determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. The salary range for this position is $200,000 - $225,000 base with commission. Actual offer will be based on your qualifications. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run. Responsibilities Build and improve the RL training infrastructure that researchers depend on day-to-day Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster Own the reliability and performance of research runs end-to-end Contribute to design decisions that shape how Anthropic does RL at scale You may be a good fit if you Have strong software engineering fundamentals and a track record of building performant, reliable systems Have worked on ML infrastructure, distributed systems, or research tooling Care about enabling other people's work and find leverage through platforms rather than individual experiments Are comfortable operating across the stack, from low-level performance work to RL algorithms Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego Strong candidates may also have Experience with large-scale distributed training (RL, pre-training, or post-training) Familiarity with JAX, PyTorch, or similar ML frameworks A track record of operating at the edge of research and infra in a fast-moving environment Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. 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. Annual Salary: £370,000 — £630,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role The RL Velocity team owns the efficiency and reliability of our RL Science stack - the infrastructure, tooling, and systems that let researchers iterate quickly on training runs. As a Research Engineer on the team, you'll build and improve the core platform that underpins how we do RL at Anthropic, removing bottlenecks that slow down research and making it easier for the broader org to ship better models faster. This is high-leverage work: small improvements to velocity compound across every researcher and every run. Responsibilities Build and improve the RL training infrastructure that researchers depend on day-to-day Identify and remove bottlenecks across the RL stack: debugging, profiling, and rearchitecting where needed Partner closely with researchers and with adjacent engineering teams (inference, sandboxing, and many more) to understand pain points and ship tooling that makes them faster Own the reliability and performance of research runs end-to-end Contribute to design decisions that shape how Anthropic does RL at scale You may be a good fit if you Have strong software engineering fundamentals and a track record of building performant, reliable systems Have worked on ML infrastructure, distributed systems, or research tooling Care about enabling other people's work and find leverage through platforms rather than individual experiments Are comfortable operating across the stack, from low-level performance work to RL algorithms Have a bias toward shipping and iterating quickly, with a mix of high agency and low ego Strong candidates may also have Experience with large-scale distributed training (RL, pre-training, or post-training) Familiarity with JAX, PyTorch, or similar ML frameworks A track record of operating at the edge of research and infra in a fast-moving environment Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. 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. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Montreal; Canada Workplace: remote ABOUT YOU We are looking for a Full-Stack Engineer who is curious, detail-oriented, and collaborative to join our Engineering team. The best candidate will be someone who enjoys working in a fast-paced, team-oriented environment and is eager to contribute to end-to-end solutions, learn scalable architecture patterns, and help improve performance and reliability across both frontend and backend systems.   Proficiency in React and modern frontend development practices, along with backend experience in Go (or a similar language) is essential, along with exposure to microservices architecture and containerized environments using Docker and Kubernetes. The ability to contribute to features from concept to production, assist in troubleshooting system issues, and participate in performance optimization efforts will be key to your success in this role.   If you're passionate about building full-stack experiences that power impactful products and are excited to grow your skills within gaming, payment, and digital commerce ecosystems, we would love to hear from you!     ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities Contribute to the development and maintenance of full-stack applications that power core products and platforms. Build responsive, performant user interfaces using React. Develop and maintain backend services using Go and event-driven architectures. Work with microservices in containerized environments using Docker and Kubernetes. Participate in architecture discussions and contribute ideas that improve performance and maintainability. Collaborate with engineers, product managers, designers, and QA to deliver features end-to-end. Monitor and debug your code in production, contributing to application reliability and performance improvements. Write automated tests and follow CI/CD best practices to ensure quality deployments. Participate in code reviews, technical discussions, and knowledge sharing across teams. Join on-call rotation to support production systems and assist in incident response. Qualifications & Skills 2–4 years of full-stack development experience. Proficiency in React and modern frontend development practices. Backend experience in Go or a similar language. Understanding of microservices architecture and event-based communication patterns. Exposure to container orchestration and cloud infrastructure (e.g., Kubernetes, Docker). Basic understanding of observability, monitoring, and performance optimization. Ability to assist in troubleshooting production issues and analyzing system behavior. Nice to Have Experience with React Native for mobile development. Interest or background in gaming, payments, or commerce systems. Exposure to adtech or offer monetization platforms. Familiarity with Kafka or equivalent streaming platforms. Familiarity with Redis or other in-memory data stores. Experience with cloud platforms (e.g., AWS, GCP, or Azure). Exposure to ClickHouse, Postgres, or other analytical/OLAP/OLTP databases. Any experience working on internal platforms or developer-facing tools. Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Lead Software Engineer (Mobile Native), we will conduct a background check that may include the following. Criminal history check. Employment verification. Education verification.   Relevance to job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/ managing budgets /accessing funds   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com

Location: New York City Workplace: OnSite ABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win. We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office. ABOUT THE ROLE We’re looking for a Web Experience Lead to own and shape the Peec AI website as a core part of our product and growth engine. In this role, you’ll oversee the entire web experience, from structure and UX to messaging, design quality, and performance, ensuring the site clearly communicates our product and converts visitors into engaged users. You’ll work closely with Product, Marketing, Growth, and Design to continuously improve key journeys across the site, drive organic traffic through strong SEO foundations, and build a world-class web presence that reflects the quality and ambition of the Peec AI product. WHAT YOU’LL DO - Own the Peec website end-to-end, shaping how the world experiences Peec from first impression to product signup - Oversee all of our web presence, orchestrating structure, UX, design quality, messaging, and performance - Increase organic traffic growth through SEO foundations, site structure, and content architecture - Lead continuous iteration across key journeys: homepage, product pages, pricing, blog/docs, and landing pages - Partner closely with Product, Marketing, Growth, and Design to ensure the website reflects Peec’s product quality and narrative - Manage and coordinate designers and collaborators with high taste and clear direction WHAT WE’RE LOOKING FOR - Proven experience owning and evolving a website at a high-growth B2B SaaS company with a strong design bar - Strong product and UX sensibility - you care deeply about navigation, clarity, storytelling, and user experience - Comfort working hands-on in modern CMS and web tooling ecosystems (Webflow, Framer, headless setups, or similar) - Experience with CRO, experimentation, analytics, and performance marketing-driven landing page workflows - High taste and strong judgment - you know what good looks like and enforce high quality standards - High ownership and proactive execution - you ship, iterate, and continuously raise the bar BONUS POINTS - Experience at companies known for exceptional web and product craft (e.g., Framer, Raycast, Linear, Notion) - Strong product marketing instincts, translating positioning into world-class product pages - Experience building scalable landing page systems for growth teams - Background working with designers and agencies while maintaining strong internal direction WHAT WE OFFER - Competitive salary and meaningful equity: everyone at Peec owns a piece of the upside - Comprehensive benefits package - Collaborative, high-energy in-office work environment - Opportunity to make a significant impact and define a new market category EEOC STATEMENT Peec AI is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by federal, state, or local law. COMPENSATION The base salary range for this position is $120,000 to $200,000 annually. Actual compensation within this range will be determined based on factors including the candidate's experience, skills, qualifications, and location, in accordance with applicable New York law.

Location: Gżira, Malta; Città Vittoriosa, Malta; Għaxaq, Malta; Msida, Malta; Naxxar, Malta; Barcelona, Spain; Madrid, Spain; Tenerife, Spain; Bolzano, Italy; Rome, Italy; Krakow, Poland; Krosno, Poland; Lublin, Poland; Poland; Poznan, Poland; Warsaw, Poland; Athens, Greece; Crete, Greece; Aya Napa, Cyprus; Limassol, Cyprus; Nicosia, Cyprus; Paphos, Cyprus; Porto, Portugal; Lisbon, Portugal; Bucuresti, Romania; Sofia, Bulgaria; Bordeaux, France; Grenoble, France; Lille, France; Lyon, France; Montpellier, France; Nantes, France; Paris, France; Toulouse, France Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Tax Manager specialist to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. Responsibilities: Leading tax-planning and implementation strategies to optimize clients’ tax liability Providing advice on tax considerations in various processes of corporate restructuring and financing, mergers and acquisitions, cross-border investments, and other types of transactions Assisting international and local clients with ad-hoc tax advisory engagements Assisting in tax compliance and execution, including preparation of corporate tax returns and tax refund applications Assisting in tax audits and liaising with tax authorities Delivering technical training and providing technical support to the accounting and audit teams Keeping abreast with direct tax developments locally and internationally Identifying opportunities for the unit’s growth Re-assessing and proposing improvements to systems and processes as and when required Assisting junior team members as their primary point of contact and review work where appropriate Experience working against deadlines and delivering in a timely manner Excellent verbal and written communication skills in both English and Maltese languages Knowledge of a third language is considered a plus Working on your own initiative and in a team, with a pro-active approach Building relationships with clients and having a passion for delivering exceptional service Your Qualifications and Experience: ACCA qualified or equivalent A minimum of 2 years experience in a CSP environment following achievement of qualifications Excellent command of accounting standards and Maltese tax legislation

Location: Remote; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Preferable to have someone near one of our offices in NYC or San Francisco, but open to hiring around the US for the right candidate. Join the frontier of shaping generative AI video and its legal landscape as an early lawyer at Runway. We are looking to hire a Commercial Counsel who has a strong background in B2B SaaS customer negotiations. Other nice-to-have experience includes: legal operations, privacy, and strategic IP-heavy partnerships, and product counseling. You are a self-starter who thrives at getting things done in fast-paced, unstructured environments. You have a passion for helping companies build and bringing scalable initiatives across our commercial and other legal workstreams. While the role is in large part focused on the commercial legal function, you might also bring to the table generalist experience across domains such as data privacy, vendor negotiations, and compliance. You will serve as a strategic thought partner to cross-functional teams from sales to partnerships to marketing and to the Runway Executive Team. Comfort working within a highly technical, rapidly evolving area of the law is a must. WHAT YOU’LL DO - Lead negotiations with Runway’s customers and strategic partners. These include B2B SaaS customer contracts for our generative AI SaaS platform and APIs, DPAs, partnership agreements, and vendor agreements. - Implement commercial processes, tools, and infrastructure to help us scale, including improving templates, playbooks, contract review automation, and our legal tech stack - Empower the sales team with tools and knowledge to close deals quickly - Dive into the technical aspects of our generative AI products to learn them inside and out, to inform your advice to the business - Closely follow technical, legal, and policy developments in the generative AI space WHAT YOU’LL NEED - A J.D. and admission in good standing with at least one state bar - 3+ years of negotiating complex technology transactions, including 1+ years negotiating B2B SAAS customer contracts on a commercial legal team at a fast-paced late stage private or mid-sized public B2B SaaS company - In addition to B2B SaaS customer contract negotiations, experience with data privacy, legal operations, strategic IP-heavy partnerships and preferably B2C legal issues are nice-to-have - Bias for action and a willingness to take ownership - Growth mindset that prioritizes continuous operational improvement and service excellence - Experience with scaling business processes globally and operating in environments that have achieved significant scale - Excitement about generative AI and motivation to continuously learn more about the legal landscape governing a new and exciting industry Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: New York, New York, United States About the Role iCapital is looking to hire a Strategic Finance professional to join the Corporate Finance team. This role will involve large scale responsibilities across financial and managerial reporting, budgeting, forecasting, analysis of key financial and performance indicators, monthly and quarterly management reporting duties, including support during the financial close, financial modelling, and partnership with key business and department Leads to enhance decision making. This individual will report into the iCapital Solutions Business Controller, Senior Vice President. Responsibilities Support the budgeting and forecasting of the company’s key financial performance indicators, with emphasis on revenue, expenses, sales activity, and select GAAP and Non-GAAP metrics, liaising with FP&A team members, sales and business leads, while providing analysis of budget vs. actuals and real-time forecasting of revenue and expenses. Assist in the preparation of the company’s annual budget process across key financial performance indicators, with emphasis on revenue, expenses, sales-based inputs and activity, and client level detail. Develop key financial and performance metrics with detailed analytics for the Management Committee and business leads. Liaise with FP&A team members to develop business specific key performance metrics, client analytics, budgets, and forecasts. Identify and assess key opportunities to enhance the current reporting structure and develop new approaches to evaluate business performance. Partner with FP&A team members and sales to develop monthly analyses and insights into variances between budget vs. actual results. Perform sales analytics to support the business development and growth of the company’s iCapital Solutions department. Support the preparation of monthly management and quarterly board reporting packages, including consolidation of financial statements, budget vs. actual results and revised forecasts, variance analysis and compilation of the company KPI reports. Identify and remediate process gaps and implement effective internal controls; improve documentation of internal control processes. Assist in completing ad hoc projects as needed such as implementation of new software, platform reporting automation, and financial planning and analysis tools. Qualifications 9+ years of FP&A, strategic finance, corporate finance, or accounting experience within the financial services industry and/or FP&A or strategic finance experience with a top-tier firm Familiar with private market investments such as private equity, hedge funds, and/or structured investments are preferred Experience in planning and ERP tools (i.e., WorkDay Adaptive, Tableau, Essbase, etc.) and familiar with Oracle NetSuite and/or General Ledger systems (i.e., PeopleSoft, Axiom) is preferred Able to work with business/sales and department leads on business performance including budgeting, forecasting and advanced analytics Advanced degree and/or credentials desired, such as MBA, CPA, CFA Advanced skills in Excel and PowerPoint Strong organizational planning, quantitative modeling, and problem-solving skills; strategic and creative thinking Able to manage large sets of data and be able to implement checks and balances Excellent verbal and written communication skills Detailed oriented with big picture capability Benefits The base salary range for this role is $145,000 to $175,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us X: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Location: Kraków, Poland; Warsaw, Poland [EN] We are looking for Engineers experienced in Unreal Engine to work on AAA game titles. Join us if you would like to raise your expertise by completing challenging tasks with the help from experts in game development. Being a developer in our company means: Working in different areas (e.g. Gameplay, AI, Engine), making new features and supporting the existing ones. Meeting interesting people from different areas of game development. Supporting different platforms and stores from Sony, Microsoft, Nintendo and others. Participating in architectural decisions, design of new systems and modules, or prototyping new features. Performance optimizations. Going through each stage of the game development pipeline and release of the game. [PL] Poszukujemy inżynierów z doświadczeniem w Unreal Engine do pracy przy tytułach gier klasy AAA . Dołącz do nas, jeśli chcesz podnieść swoje kwalifikacje, realizując pełne wyzwań zadania przy wsparciu ekspertów w dziedzinie tworzenia gier. Być programistą w Sperasoft oznacza: Pracę w różnych obszarach (np. Gameplay, AI, Engine), tworzenie nowych funkcjonalności oraz utrzymywanie już istniejących. Poznawanie interesujących ludzi z różnych dziedzin gamedevu. Wspieranie różnych platform i sklepów m.in. od Sony, Microsoftu, Nintendo i innych. Udział w podejmowaniu decyzji architektonicznych, projektowaniu nowych systemów i modułów oraz prototypów. Optymalizację wydajności. Przejście przez każdy etap procesu produkcyjnego aż po wydanie gry na rynek. Requirements [EN] Commercial experience with C++ and Unreal Engine 4 or 5. Experience with popular subsystems, e.g. Gameplay Ability System, Behavior Trees, UMG. Comprehension of Unreal Engine memory management model. Good understanding of dynamic polymorphism and C++ specific notions. Practical knowledge with Blueprint scripting. Good communication skills and fluent spoken English. [PL] Wymagania: Komercyjne doświadczenie w pracy z C++ oraz Unreal Engine 4 lub 5 Doświadczenie z popularnymi podsystemami, np. Gameplay Ability System (GAS), drzewami zachowań (Behavior Trees), UMG Rozumienie modelu zarządzania pamięcią w Unreal Engine Dobre rozumienie polimorfizmu dynamicznego oraz pojęć specyficznych dla C++ Praktyczna znajomość programowania z Blueprintami Dobre umiejętności komunikacyjne i biegła znajomość języka angielskiego Benefits [EN] Working with an international team of world-class professionals on exciting and challenging projects Learning & Development opportunities – mentoring, lectures, participation at industry conferences and events Medical Care package Sensibly flexible working hours Breakfasts, snacks and fruits available during the day, tea and coffee machines Friendly team Additional benefits – Care Bonus to cover health, educational and safety needs, MyCafeteria, corporate parties and team buildings and many more others [PL] Praca w międzynarodowym zespole światowej klasy profesjonalistów przy ekscytujących i pełnych wyzwań projektach Możliwości nauki i rozwoju: mentoring, wykłady, udział w konferencjach i wydarzeniach branżowych Pakiet opieki medycznej Elastyczne godziny pracy (w ramach potrzeb zespołu) Śniadania, przekąski i owoce dostępne w ciągu dnia, a także ekspresy do kawy i wybór herbat Przyjazny zespół Benefity dodatkowe – Care Bonus (pokrywający wydatki związane ze zdrowiem, edukacją i bezpieczeństwem), platforma MyCafeteria, imprezy firmowe oraz wyjazdy integracyjne, a także wiele więcej

Location: South Africa; Philippines; Pakistan; Argentina; Mexico; Colombia About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe & Australia. Unlike an outsourcing agency, we place you directly with a client where you're hired in-house to work as a valued member of their team. Please note that by applying & completing our interview process, you will be added to our community. This means you’ll be considered for this and all other possible roles that may match your skills. These potential opportunities will be sent your way as an exclusive Huzzle candidate. Job Type: Full-time Location: Remote Start Date : Immediate About the Company Our client is an innovative AI-driven company focused on building and deploying “AI employees” that automate business workflows and enhance operational efficiency. They specialize in integrating cutting-edge automation tools and large language models (LLMs) to streamline client operations across multiple industries. Job Summary We are seeking a highly skilled Technical Project Manager with hands-on experience in workflow automation and AI/LLM integrations. This role is ideal for someone who can bridge technical execution and business strategy—leading projects that involve tools like n8n, Zapier, and AI platforms such as OpenAI, Gemini, and Claude. You will manage end-to-end delivery of automation and AI-driven initiatives, working closely with developers, stakeholders, and cross-functional teams to ensure projects are delivered on time, within scope, and aligned with business objectives. Key Responsibilities Lead and manage technical projects focused on automation and AI implementation Design and oversee workflows using tools like n8n, Zapier, Make (Integromat), or similar platforms Coordinate the integration of LLM APIs (e.g., OpenAI, Gemini, Claude) into business processes Collaborate with engineering, product, and operations teams to define project scope and deliverables Translate business requirements into technical specifications and actionable tasks Monitor project timelines, budgets, and performance metrics Identify risks, troubleshoot issues, and ensure smooth project execution Optimize workflows and processes for scalability and efficiency Maintain clear communication with stakeholders and provide regular updates Requirements 3+ years of experience as a Technical Project Manager or similar role Proven experience with automation tools (n8n, Zapier, Make, etc.) Hands-on experience working with LLMs and AI tools (OpenAI, Gemini, Claude, or similar) Strong understanding of APIs, integrations, and system architecture Experience managing remote technical teams and cross-functional stakeholders Familiarity with Agile, Scrum, or other project management methodologies Excellent problem-solving, communication, and organizational skills Ability to balance technical depth with business impact Background in SaaS, AI startups, or automation-focused environments Experience with prompt engineering and AI workflow design Basic coding knowledge (Python, JavaScript, or similar) Experience with CRM systems and data pipelines Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: United Kingdom About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, and established brands across industries such as SaaS, MarTech, FinTech, and Beauty & Wellness. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. About the Company Our client is a rapidly growing beauty and wellness brand focused on delivering premium products and services across the UK market. With a strong presence in the haircare, skincare, and self-care space, they are expanding their outbound sales team to drive partnerships with salons, retailers, and distributors. Job Summary We’re looking for a high-performing Sales Development Representative with proven experience in the beauty, haircare, or wellness industry. This is a fully remote sales role ideal for someone who understands the nuances of selling into salons, spas, and beauty retailers across the UK. You’ll be responsible for outbound prospecting, lead generation, and booking qualified meetings for the senior sales team. This role requires strong relationship-building skills, industry knowledge, and a results-driven mindset. Key Responsibilities Conduct outbound prospecting via cold calls, email, and LinkedIn to UK-based beauty businesses (salons, clinics, retailers). Identify and qualify leads within the beauty/hair/wellness space. Book high-quality discovery calls and product demos for Account Executives. Build and manage a consistent pipeline using CRM tools (e.g., HubSpot, Salesforce). Research target accounts and personalise outreach strategies. Collaborate closely with marketing and sales teams to refine messaging and campaigns. Track outreach performance and optimise conversion rates. Requirements Must be UK-based with strong understanding of the local beauty/wellness market. 3+ years of SDR/BDR or outbound sales experience. Proven experience selling into beauty, haircare, skincare, or wellness industries (essential). Strong cold calling and outbound prospecting skills. Experience using CRM platforms (HubSpot, Salesforce, or similar). Excellent communication and relationship-building abilities. Self-motivated, target-driven, and comfortable working remotely. Experience engaging with salon owners, spa managers, or retail buyers is highly desirable. Benefits 💰 Competitive salary performance-based commissions 🌎 Fully remote role with flexible work environment 🚀 Work with a fast-growing beauty & wellness brand scaling across the UK 🎯 Performance-driven incentives and bonus structure 🤝 Structured onboarding and ongoing sales training through Huzzle 🔒 Long-term opportunity with stability and growth potential

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Portuguese (Brazil) proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Portuguese (Portugal) language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.